From 4bfc7026735a942013e2da6e024d2afbccca1c07 Mon Sep 17 00:00:00 2001 From: gabrielfior Date: Tue, 24 Sep 2024 09:01:51 -0300 Subject: [PATCH 01/37] WIP --- .../match_bets_with_langfuse_traces.py | 47 ++++++----- poetry.lock | 80 ++++++++++++++++++- .../deploy/betting_strategy.py | 21 +++++ pyproject.toml | 1 + scripts/token_amounts_calc.py | 61 ++++++++++++++ .../markets/omen/test_attack_dos.py | 13 +++ 6 files changed, 199 insertions(+), 24 deletions(-) create mode 100644 scripts/token_amounts_calc.py create mode 100644 tests_integration_with_local_chain/markets/omen/test_attack_dos.py diff --git a/examples/monitor/match_bets_with_langfuse_traces.py b/examples/monitor/match_bets_with_langfuse_traces.py index 494c854a..a2751521 100644 --- a/examples/monitor/match_bets_with_langfuse_traces.py +++ b/examples/monitor/match_bets_with_langfuse_traces.py @@ -23,7 +23,6 @@ get_trace_for_bet, get_traces_for_agent, ) -from prediction_market_agent_tooling.tools.utils import get_private_key_from_gcp_secret class SimulatedOutcome(BaseModel): @@ -84,30 +83,35 @@ def get_outcome_for_trace( # Get the private keys for the agents from GCP Secret Manager agent_gcp_secret_map = { "DeployablePredictionProphetGPT4TurboFinalAgent": "pma-prophetgpt4turbo-final", - "DeployablePredictionProphetGPT4TurboPreviewAgent": "pma-prophetgpt4", - "DeployablePredictionProphetGPT4oAgent": "pma-prophetgpt3", - "DeployableOlasEmbeddingOAAgent": "pma-evo-olas-embeddingoa", + # "DeployablePredictionProphetGPT4TurboPreviewAgent": "pma-prophetgpt4", + # "DeployablePredictionProphetGPT4oAgent": "pma-prophetgpt3", + # "DeployableOlasEmbeddingOAAgent": "pma-evo-olas-embeddingoa", # "DeployableThinkThoroughlyAgent": "pma-think-thoroughly", # no bets! # "DeployableThinkThoroughlyProphetResearchAgent": "pma-think-thoroughly-prophet-research", # no bets! - "DeployableKnownOutcomeAgent": "pma-knownoutcome", - } - agent_pkey_map = { - k: get_private_key_from_gcp_secret(v) for k, v in agent_gcp_secret_map.items() + # "DeployableKnownOutcomeAgent": "pma-knownoutcome", } + # ToDo - Why retrieve private key from GCP? + # agent_pkey_map = { + # k: get_private_key_from_gcp_secret(v) for k, v in agent_gcp_secret_map.items() + # } + dummy_private_key = ( + "6524d468e0eabb7e6a4c5b67636758fc7ac8c98fc3fda12fb3cfce4f7701d519" + ) + agent_pkey_map = {k: dummy_private_key for k, v in agent_gcp_secret_map.items()} # Define strategies we want to test out strategies = [ - MaxAccuracyBettingStrategy(bet_amount=1), + # MaxAccuracyBettingStrategy(bet_amount=1), MaxAccuracyBettingStrategy(bet_amount=2), MaxAccuracyBettingStrategy(bet_amount=25), - KellyBettingStrategy(max_bet_amount=1), + # KellyBettingStrategy(max_bet_amount=1), KellyBettingStrategy(max_bet_amount=2), - KellyBettingStrategy(max_bet_amount=25), - MaxAccuracyWithKellyScaledBetsStrategy(max_bet_amount=1), + # KellyBettingStrategy(max_bet_amount=25), + # MaxAccuracyWithKellyScaledBetsStrategy(max_bet_amount=1), MaxAccuracyWithKellyScaledBetsStrategy(max_bet_amount=2), - MaxAccuracyWithKellyScaledBetsStrategy(max_bet_amount=25), - MaxExpectedValueBettingStrategy(bet_amount=1), + # MaxAccuracyWithKellyScaledBetsStrategy(max_bet_amount=25), + # MaxExpectedValueBettingStrategy(bet_amount=1), MaxExpectedValueBettingStrategy(bet_amount=2), - MaxExpectedValueBettingStrategy(bet_amount=25), + # MaxExpectedValueBettingStrategy(bet_amount=25), ] print("# Agent Bet vs Simulated Bet Comparison") @@ -145,16 +149,17 @@ def get_outcome_for_trace( # All bets should have a trace, but not all traces should have a bet # (e.g. if all markets are deemed unpredictable), so iterate over bets bets_with_traces: list[ResolvedBetWithTrace] = [] + missing_bets = [] for bet in bets: trace = get_trace_for_bet(bet, process_market_traces) if trace: bets_with_traces.append(ResolvedBetWithTrace(bet=bet, trace=trace)) + else: + missing_bets.append(bet) print(f"Number of bets since {start_time}: {len(bets_with_traces)}\n") - if len(bets_with_traces) != len(bets): - raise ValueError( - f"{len(bets) - len(bets_with_traces)} bets do not have a corresponding trace" - ) + if missing_bets: + print(f"Bets without traces : {missing_bets}") simulations: list[dict[str, Any]] = [] @@ -207,4 +212,6 @@ def get_outcome_for_trace( } ) - print(pd.DataFrame.from_records(simulations).to_markdown(index=False)) + simulations_df = pd.DataFrame.from_records(simulations) + simulations_df.to_csv("simulations.csv") + print(simulations_df.to_markdown(index=False)) diff --git a/poetry.lock b/poetry.lock index c43d0fc6..0c545f29 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand. [[package]] name = "aiohappyeyeballs" @@ -1003,6 +1003,17 @@ idna = ["idna (>=3.6)"] trio = ["trio (>=0.23)"] wmi = ["wmi (>=1.5.1)"] +[[package]] +name = "docopt-ng" +version = "0.9.0" +description = "Jazzband-maintained fork of docopt, the humane command line arguments parser." +optional = false +python-versions = ">=3.7" +files = [ + {file = "docopt_ng-0.9.0-py3-none-any.whl", hash = "sha256:bfe4c8b03f9fca424c24ee0b4ffa84bf7391cb18c29ce0f6a8227a3b01b81ff9"}, + {file = "docopt_ng-0.9.0.tar.gz", hash = "sha256:91c6da10b5bb6f2e9e25345829fb8278c78af019f6fc40887ad49b060483b1d7"}, +] + [[package]] name = "eip712" version = "0.2.10" @@ -2382,6 +2393,22 @@ files = [ [package.dependencies] jsonpointer = ">=1.9" +[[package]] +name = "jsonpickle" +version = "3.3.0" +description = "Python library for serializing arbitrary object graphs into JSON" +optional = false +python-versions = ">=3.7" +files = [ + {file = "jsonpickle-3.3.0-py3-none-any.whl", hash = "sha256:287c12143f35571ab00e224fa323aa4b090d5a7f086f5f494d7ee9c7eb1a380a"}, + {file = "jsonpickle-3.3.0.tar.gz", hash = "sha256:ab467e601e5b1a1cd76f1819d014795165da071744ef30bf3786e9bc549de25a"}, +] + +[package.extras] +docs = ["furo", "rst.linker (>=1.9)", "sphinx"] +packaging = ["build", "twine"] +testing = ["bson", "ecdsa", "feedparser", "gmpy2", "numpy", "pandas", "pymongo", "pytest (>=3.5,!=3.7.3)", "pytest-benchmark", "pytest-benchmark[histogram]", "pytest-checkdocs (>=1.2.3)", "pytest-cov", "pytest-enabler (>=1.0.1)", "pytest-ruff (>=0.2.1)", "scikit-learn", "scipy", "scipy (>=1.9.3)", "simplejson", "sqlalchemy", "ujson"] + [[package]] name = "jsonpointer" version = "3.0.0" @@ -3006,6 +3033,21 @@ files = [ [package.dependencies] typing-extensions = {version = ">=4.1.0", markers = "python_version < \"3.11\""} +[[package]] +name = "munch" +version = "4.0.0" +description = "A dot-accessible dictionary (a la JavaScript objects)" +optional = false +python-versions = ">=3.6" +files = [ + {file = "munch-4.0.0-py2.py3-none-any.whl", hash = "sha256:71033c45db9fb677a0b7eb517a4ce70ae09258490e419b0e7f00d1e386ecb1b4"}, + {file = "munch-4.0.0.tar.gz", hash = "sha256:542cb151461263216a4e37c3fd9afc425feeaf38aaa3025cd2a981fadb422235"}, +] + +[package.extras] +testing = ["astroid (>=2.0)", "coverage", "pylint (>=2.3.1,<2.4.0)", "pytest"] +yaml = ["PyYAML (>=5.1.0)"] + [[package]] name = "mypy" version = "1.11.2" @@ -3669,6 +3711,17 @@ py-multibase = ">=1.0.0,<2.0.0" py-multicodec = "<0.3.0" py-multihash = ">=0.2.0,<1.0.0" +[[package]] +name = "py-cpuinfo" +version = "9.0.0" +description = "Get CPU info with pure Python" +optional = false +python-versions = "*" +files = [ + {file = "py-cpuinfo-9.0.0.tar.gz", hash = "sha256:3cdbbf3fac90dc6f118bfd64384f309edeadd902d7c8fb17f02ffa1fc3f49690"}, + {file = "py_cpuinfo-9.0.0-py3-none-any.whl", hash = "sha256:859625bc251f64e21f077d099d4162689c762b5d6a4c3c97553d56241c9674d5"}, +] + [[package]] name = "py-ecc" version = "7.0.1" @@ -3851,7 +3904,6 @@ description = "Pure-Python implementation of ASN.1 types and DER/BER/CER codecs optional = false python-versions = ">=3.8" files = [ - {file = "pyasn1-0.6.1-py3-none-any.whl", hash = "sha256:0d632f46f2ba09143da3a8afe9e33fb6f92fa2320ab7e886e2d0f7672af84629"}, {file = "pyasn1-0.6.1.tar.gz", hash = "sha256:6f580d2bdd84365380830acf45550f2511469f673cb4a5ae3857a3170128b034"}, ] @@ -3862,7 +3914,6 @@ description = "A collection of ASN.1-based protocols modules" optional = false python-versions = ">=3.8" files = [ - {file = "pyasn1_modules-0.4.1-py3-none-any.whl", hash = "sha256:49bfa96b45a292b711e986f222502c1c9a5e1f4e568fc30e2574a6c7d07838fd"}, {file = "pyasn1_modules-0.4.1.tar.gz", hash = "sha256:c28e2dbf9c06ad61c71a075c7e0f9fd0f1b0bb2d2ad4377f240d33ac2ab60a7c"}, ] @@ -4653,6 +4704,27 @@ files = [ [package.dependencies] pyasn1 = ">=0.1.3" +[[package]] +name = "sacred" +version = "0.8.6" +description = "Facilitates automated and reproducible experimental research" +optional = false +python-versions = ">=3.8" +files = [ + {file = "sacred-0.8.6-py2.py3-none-any.whl", hash = "sha256:0a89c338d8a72e92213c6a4aec744025a299c21278fc32a91793f75059ec1d99"}, + {file = "sacred-0.8.6.tar.gz", hash = "sha256:586a6a8ec03a8762bfb97aa0c8e27b155139dfdc1aeddd8b3931b4b0aec6765d"}, +] + +[package.dependencies] +colorama = ">=0.4" +docopt-ng = ">=0.9,<1.0" +GitPython = "*" +jsonpickle = ">=2.2.0" +munch = ">=2.5,<5.0" +packaging = ">=18.0" +py-cpuinfo = ">=4.0" +wrapt = ">=1.0,<2.0" + [[package]] name = "safe-cli" version = "1.2.1" @@ -5792,4 +5864,4 @@ openai = ["openai"] [metadata] lock-version = "2.0" python-versions = ">=3.10,<3.12" -content-hash = "658abc9433182dac32862d8925b9fd262609b55adf55ecc7bbbed1af39709883" +content-hash = "2deb950e043856a2c03355624db84e50595b1916bdda67c29089a54244827093" diff --git a/prediction_market_agent_tooling/deploy/betting_strategy.py b/prediction_market_agent_tooling/deploy/betting_strategy.py index 18af7183..c3fdee14 100644 --- a/prediction_market_agent_tooling/deploy/betting_strategy.py +++ b/prediction_market_agent_tooling/deploy/betting_strategy.py @@ -210,6 +210,27 @@ def __repr__(self) -> str: return f"{self.__class__.__name__}(max_bet_amount={self.max_bet_amount})" +class KellyScaledForPoolSizeBettingStrategy(KellyBettingStrategy): + def __init__(self, scaling_factor: float, *args, **kwargs): + self.scaling_factor = scaling_factor + super().__init__(**kwargs) + + def adjust_bet_amount( + self, existing_position: Position | None, market: AgentMarket + ) -> float: + # We assume existing_position is always None, as is the case for simulations. + # We scale the betting amount by the liquidity in the pool, given by scaling_factor. + + yes_outcome_pool_size = ( + market.outcome_token_pool[market.get_outcome_str_from_bool(True)], + ) + no_outcome_pool_size = ( + market.outcome_token_pool[market.get_outcome_str_from_bool(False)], + ) + + return self.max_bet_amount * self.scaling_factor * 2 + + class MaxAccuracyWithKellyScaledBetsStrategy(BettingStrategy): def __init__(self, max_bet_amount: float = 10): self.max_bet_amount = max_bet_amount diff --git a/pyproject.toml b/pyproject.toml index 8fc3f2e2..f95e2d22 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -48,6 +48,7 @@ sqlmodel = "^0.0.21" psycopg2-binary = "^2.9.9" base58 = ">=1.0.2,<2.0" loky = "^3.4.1" +sacred = "^0.8.6" [tool.poetry.extras] openai = ["openai"] diff --git a/scripts/token_amounts_calc.py b/scripts/token_amounts_calc.py new file mode 100644 index 00000000..45cc9837 --- /dev/null +++ b/scripts/token_amounts_calc.py @@ -0,0 +1,61 @@ +from scipy.optimize import newton + +from prediction_market_agent_tooling.markets.omen.omen import ( + get_buy_outcome_token_amount, +) + + +def calc_slippage(bet_amount, yes, no): + initial_p_yes = no / (yes + no) + expected_tokens_yes = bet_amount / initial_p_yes + bought_yes = get_buy_outcome_token_amount(bet_amount, True, yes, no, 0) + num = expected_tokens_yes - bought_yes + den = expected_tokens_yes + s = num / den + print(f"slippage {s}") + return s + + +if __name__ == "__main__": + bet_amount = 2.84e18 + yes = 11767992330161487184 + no = 4163836840241006013 + decimals = 18 + # bet_amount = 10 + # yes = 10 + # no = 10 + # decimals = 0 + p_yes = no / (yes + no) + print(f"initial p_yes {p_yes}") + expected_yes = bet_amount / p_yes + print(f"expected_yes {expected_yes}") + bought_yes = get_buy_outcome_token_amount(bet_amount, True, yes, no, 0) + print(f"bought yes {bought_yes}") + # We can define slippage either considering the tokens you get by minting or not, i.e. + # only consider the tokens you swap in the slippage calculation. + slippage = (expected_yes - bought_yes) / expected_yes + print(f"slippage {slippage}") + # what is the new price? + yes_prime = yes + bet_amount - bought_yes + no_prime = no + bet_amount + p_yes_prime = no_prime / (yes_prime + no_prime) + print(f"p_yes_prime {p_yes_prime}") + print(f"slippage calc {calc_slippage(bet_amount, yes, no)}") + + print( + f"yes {yes/1e18} no {no/10**decimals} bought_yes {bought_yes/10**decimals} yes_prime {yes_prime/10**decimals} no_prime {no_prime/10**decimals} k_0 {yes*no/10**(2*decimals)} k_1 {yes_prime*no_prime/10**(2*decimals)}" + ) + + # say we want 30% slippage + target_slippage = 0.3 + + def f(b: float) -> float: + actual_slippage = calc_slippage(b, yes, no) + return actual_slippage - target_slippage + + optimized_bet_amount = newton(f, 1e18) + print(f"optimized {optimized_bet_amount}") + + # Next steps - use target slippage to find bet amount + # Create new strategy based on slippage for Kelly + # Run simulations for that one diff --git a/tests_integration_with_local_chain/markets/omen/test_attack_dos.py b/tests_integration_with_local_chain/markets/omen/test_attack_dos.py new file mode 100644 index 00000000..d1462955 --- /dev/null +++ b/tests_integration_with_local_chain/markets/omen/test_attack_dos.py @@ -0,0 +1,13 @@ +from web3 import Web3 + + +def test_dos(local_web3: Web3) -> None: + # add wxDAI to creator and attacker + local_web3.eth.ba + # creator creates market + # creator adds funding + # attacker adds liquidity + # creator removes all funding + # attacker removes all liquidity + # check balance of attacker + pass From 2c8389a2bb12a4db227f478df655eb5af441cdd7 Mon Sep 17 00:00:00 2001 From: gabrielfior Date: Tue, 24 Sep 2024 23:35:48 -0300 Subject: [PATCH 02/37] Added Slippage-based Kelly strategy --- .../match_bets_with_langfuse_traces.py | 36 +++-- .../deploy/betting_strategy.py | 138 ++++++++++++++++-- .../markets/omen/omen.py | 14 +- 3 files changed, 158 insertions(+), 30 deletions(-) diff --git a/examples/monitor/match_bets_with_langfuse_traces.py b/examples/monitor/match_bets_with_langfuse_traces.py index a2751521..02a7ae8b 100644 --- a/examples/monitor/match_bets_with_langfuse_traces.py +++ b/examples/monitor/match_bets_with_langfuse_traces.py @@ -8,12 +8,13 @@ from prediction_market_agent_tooling.config import APIKeys from prediction_market_agent_tooling.deploy.betting_strategy import ( BettingStrategy, - KellyBettingStrategy, - MaxAccuracyBettingStrategy, - MaxAccuracyWithKellyScaledBetsStrategy, - MaxExpectedValueBettingStrategy, ProbabilisticAnswer, TradeType, + KellyMaxSlippageBettingStrategy, + MaxExpectedValueBettingStrategy, + MaxAccuracyWithKellyScaledBetsStrategy, + KellyBettingStrategy, + MaxAccuracyBettingStrategy, ) from prediction_market_agent_tooling.markets.data_models import ResolvedBet from prediction_market_agent_tooling.markets.omen.omen import OmenAgentMarket @@ -100,18 +101,31 @@ def get_outcome_for_trace( agent_pkey_map = {k: dummy_private_key for k, v in agent_gcp_secret_map.items()} # Define strategies we want to test out strategies = [ - # MaxAccuracyBettingStrategy(bet_amount=1), + MaxAccuracyBettingStrategy(bet_amount=1), MaxAccuracyBettingStrategy(bet_amount=2), MaxAccuracyBettingStrategy(bet_amount=25), - # KellyBettingStrategy(max_bet_amount=1), + KellyBettingStrategy(max_bet_amount=1), KellyBettingStrategy(max_bet_amount=2), - # KellyBettingStrategy(max_bet_amount=25), - # MaxAccuracyWithKellyScaledBetsStrategy(max_bet_amount=1), + KellyBettingStrategy(max_bet_amount=25), + MaxAccuracyWithKellyScaledBetsStrategy(max_bet_amount=1), MaxAccuracyWithKellyScaledBetsStrategy(max_bet_amount=2), - # MaxAccuracyWithKellyScaledBetsStrategy(max_bet_amount=25), - # MaxExpectedValueBettingStrategy(bet_amount=1), + MaxAccuracyWithKellyScaledBetsStrategy(max_bet_amount=25), + MaxExpectedValueBettingStrategy(bet_amount=1), MaxExpectedValueBettingStrategy(bet_amount=2), - # MaxExpectedValueBettingStrategy(bet_amount=25), + MaxExpectedValueBettingStrategy(bet_amount=25), + KellyMaxSlippageBettingStrategy(max_bet_amount=2, max_slippage=0.01), + KellyMaxSlippageBettingStrategy(max_bet_amount=2, max_slippage=0.05), + KellyMaxSlippageBettingStrategy(max_bet_amount=2, max_slippage=0.1), + KellyMaxSlippageBettingStrategy(max_bet_amount=2, max_slippage=0.15), + KellyMaxSlippageBettingStrategy(max_bet_amount=2, max_slippage=0.2), + KellyMaxSlippageBettingStrategy(max_bet_amount=2, max_slippage=0.25), + KellyMaxSlippageBettingStrategy(max_bet_amount=2, max_slippage=0.3), + KellyMaxSlippageBettingStrategy(max_bet_amount=5, max_slippage=0.1), + KellyMaxSlippageBettingStrategy(max_bet_amount=5, max_slippage=0.15), + KellyMaxSlippageBettingStrategy(max_bet_amount=5, max_slippage=0.2), + KellyMaxSlippageBettingStrategy(max_bet_amount=25, max_slippage=0.1), + KellyMaxSlippageBettingStrategy(max_bet_amount=25, max_slippage=0.15), + KellyMaxSlippageBettingStrategy(max_bet_amount=25, max_slippage=0.2), ] print("# Agent Bet vs Simulated Bet Comparison") diff --git a/prediction_market_agent_tooling/deploy/betting_strategy.py b/prediction_market_agent_tooling/deploy/betting_strategy.py index c3fdee14..6190d3d8 100644 --- a/prediction_market_agent_tooling/deploy/betting_strategy.py +++ b/prediction_market_agent_tooling/deploy/betting_strategy.py @@ -1,5 +1,9 @@ from abc import ABC, abstractmethod +import numpy as np +from scipy.optimize import newton + +from prediction_market_agent_tooling.gtypes import xDai from prediction_market_agent_tooling.markets.agent_market import AgentMarket from prediction_market_agent_tooling.markets.data_models import ( Currency, @@ -10,10 +14,14 @@ TradeType, ) from prediction_market_agent_tooling.markets.omen.data_models import get_boolean_outcome +from prediction_market_agent_tooling.markets.omen.omen import ( + get_buy_outcome_token_amount, +) from prediction_market_agent_tooling.tools.betting_strategies.kelly_criterion import ( get_kelly_bet_full, get_kelly_bet_simplified, ) +from prediction_market_agent_tooling.tools.betting_strategies.utils import SimpleBet from prediction_market_agent_tooling.tools.utils import check_not_none @@ -210,25 +218,127 @@ def __repr__(self) -> str: return f"{self.__class__.__name__}(max_bet_amount={self.max_bet_amount})" -class KellyScaledForPoolSizeBettingStrategy(KellyBettingStrategy): - def __init__(self, scaling_factor: float, *args, **kwargs): - self.scaling_factor = scaling_factor - super().__init__(**kwargs) +class KellyMaxSlippageBettingStrategy(KellyBettingStrategy): + def __init__(self, max_slippage: float, max_bet_amount: float): + self.max_slippage = max_slippage + super().__init__(max_bet_amount=max_bet_amount) - def adjust_bet_amount( - self, existing_position: Position | None, market: AgentMarket - ) -> float: - # We assume existing_position is always None, as is the case for simulations. - # We scale the betting amount by the liquidity in the pool, given by scaling_factor. + def calc_slippage( + self, buy_direction: bool, bet_amount: float, yes: float, no: float, fee: float + ): + total_outcome_tokens = yes + no + initial_price = ( + no / total_outcome_tokens if buy_direction else yes / total_outcome_tokens + ) + expected_tokens_bought = bet_amount / initial_price + tokens_bought = 0 + try: + tokens_bought = get_buy_outcome_token_amount( + bet_amount, buy_direction, yes, no, fee + ) + except Exception as e: + print("Error,", e) + pass + s = (expected_tokens_bought - tokens_bought) / expected_tokens_bought + return s + + def calculate_slippage_for_bet_amount( + self, market: AgentMarket, kelly_bet: SimpleBet, fee: float + ): + def slippage_diff(b: xDai) -> float: + yes_outcome_pool_size = market.outcome_token_pool[ + market.get_outcome_str_from_bool(True) + ] + no_outcome_pool_size = market.outcome_token_pool[ + market.get_outcome_str_from_bool(False) + ] + + actual_slippage = self.calc_slippage( + kelly_bet.direction, b, yes_outcome_pool_size, no_outcome_pool_size, fee + ) + return actual_slippage - self.max_slippage + + # ToDo - Try minimize_scalar, bisect + # https://docs.scipy.org/doc/scipy/reference/generated/scipy.optimize.minimize_scalar.html#minimize-scalar + try: + optimized_bet_amount = newton( + slippage_diff, self.max_bet_amount, maxiter=1000 + ) + # other_amount = root_scalar( + # slippage_diff, bracket=[1e-18, self.max_bet_amount] + # ) + # optimized_bet_amount = other_amount.root + # result = root_scalar( + # f, method="brentq", bracket=[1e-18, self.max_bet_amount] + # ) + # optimized_bet_amount = result.root + except Exception as e: + print("Could not converge. ", e) + return kelly_bet.size + return optimized_bet_amount + + def calculate_trades( + self, + existing_position: Position | None, + answer: ProbabilisticAnswer, + market: AgentMarket, + ) -> list[Trade]: + adjusted_bet_amount = self.adjust_bet_amount(existing_position, market) + outcome_token_pool = check_not_none(market.outcome_token_pool) + kelly_bet = ( + get_kelly_bet_full( + yes_outcome_pool_size=outcome_token_pool[ + market.get_outcome_str_from_bool(True) + ], + no_outcome_pool_size=outcome_token_pool[ + market.get_outcome_str_from_bool(False) + ], + estimated_p_yes=answer.p_yes, + max_bet=adjusted_bet_amount, + confidence=answer.confidence, + ) + if market.has_token_pool() + else get_kelly_bet_simplified( + adjusted_bet_amount, + market.current_p_yes, + answer.p_yes, + answer.confidence, + ) + ) - yes_outcome_pool_size = ( - market.outcome_token_pool[market.get_outcome_str_from_bool(True)], + # Adjust amount + max_slippage_bet_amount = self.calculate_slippage_for_bet_amount( + market, kelly_bet, 0 + ) + kelly_bet_size = min(kelly_bet.size, max_slippage_bet_amount) + # check slippage + slippage_num = self.calc_slippage( + kelly_bet.direction, + max_slippage_bet_amount, + market.outcome_token_pool["Yes"], + market.outcome_token_pool["No"], + 0, ) - no_outcome_pool_size = ( - market.outcome_token_pool[market.get_outcome_str_from_bool(False)], + print(f"slippage calc {slippage_num}") + if not np.isclose( + slippage_num, self.max_slippage, atol=self.max_slippage / 100 + ): + print("Slippage wrong") + kelly_bet_size = kelly_bet.size + + amounts = { + market.get_outcome_str_from_bool(kelly_bet.direction): TokenAmount( + amount=kelly_bet_size, currency=market.currency + ), + } + target_position = Position(market_id=market.id, amounts=amounts) + trades = self._build_rebalance_trades_from_positions( + existing_position, target_position, market=market ) + return trades - return self.max_bet_amount * self.scaling_factor * 2 + def __repr__(self) -> str: + return super().__repr__() + f"(max_slippage={self.max_slippage})" class MaxAccuracyWithKellyScaledBetsStrategy(BettingStrategy): diff --git a/prediction_market_agent_tooling/markets/omen/omen.py b/prediction_market_agent_tooling/markets/omen/omen.py index b4f1b460..08902e70 100644 --- a/prediction_market_agent_tooling/markets/omen/omen.py +++ b/prediction_market_agent_tooling/markets/omen/omen.py @@ -930,7 +930,7 @@ def omen_fund_market_tx( web3: Web3 | None = None, ) -> None: market_contract = market.get_contract() - collateral_token_contract = market_contract.get_collateral_token_contract() + collateral_token_contract = market_contract.get_collateral_token_contract(web3=web3) amount_to_fund = collateral_token_contract.get_in_shares(funds, web3) @@ -1048,8 +1048,12 @@ def omen_remove_fund_market_tx( """ from_address = api_keys.bet_from_address market_contract = market.get_contract() - market_collateral_token_contract = market_contract.get_collateral_token_contract() - original_balance = market_collateral_token_contract.balanceOf(from_address) + market_collateral_token_contract = market_contract.get_collateral_token_contract( + web3=web3 + ) + original_balance = market_collateral_token_contract.balanceOf( + from_address, web3=web3 + ) total_shares = market_contract.balanceOf(from_address, web3=web3) if total_shares == 0: @@ -1084,11 +1088,11 @@ def omen_remove_fund_market_tx( web3=web3, ) - new_balance = market_collateral_token_contract.balanceOf(from_address) + new_balance = market_collateral_token_contract.balanceOf(from_address, web3=web3) logger.debug(f"Result from merge positions {result}") logger.info( - f"Withdrawn {new_balance - original_balance} {market_collateral_token_contract.symbol_cached()} from liquidity at {market.url=}." + f"Withdrawn {new_balance - original_balance} {market_collateral_token_contract.symbol_cached(web3=web3)} from liquidity at {market.url=}." ) From c9c198aa23f8578d318a131364a24dfd7351b7fe Mon Sep 17 00:00:00 2001 From: gabrielfior Date: Tue, 24 Sep 2024 23:47:39 -0300 Subject: [PATCH 03/37] Fixing PR --- .../monitor/match_bets_with_langfuse_traces.py | 14 ++++++-------- pyproject.toml | 1 - 2 files changed, 6 insertions(+), 9 deletions(-) diff --git a/examples/monitor/match_bets_with_langfuse_traces.py b/examples/monitor/match_bets_with_langfuse_traces.py index 02a7ae8b..a7f005cf 100644 --- a/examples/monitor/match_bets_with_langfuse_traces.py +++ b/examples/monitor/match_bets_with_langfuse_traces.py @@ -24,6 +24,7 @@ get_trace_for_bet, get_traces_for_agent, ) +from prediction_market_agent_tooling.tools.utils import get_private_key_from_gcp_secret class SimulatedOutcome(BaseModel): @@ -91,14 +92,11 @@ def get_outcome_for_trace( # "DeployableThinkThoroughlyProphetResearchAgent": "pma-think-thoroughly-prophet-research", # no bets! # "DeployableKnownOutcomeAgent": "pma-knownoutcome", } - # ToDo - Why retrieve private key from GCP? - # agent_pkey_map = { - # k: get_private_key_from_gcp_secret(v) for k, v in agent_gcp_secret_map.items() - # } - dummy_private_key = ( - "6524d468e0eabb7e6a4c5b67636758fc7ac8c98fc3fda12fb3cfce4f7701d519" - ) - agent_pkey_map = {k: dummy_private_key for k, v in agent_gcp_secret_map.items()} + + agent_pkey_map = { + k: get_private_key_from_gcp_secret(v) for k, v in agent_gcp_secret_map.items() + } + # Define strategies we want to test out strategies = [ MaxAccuracyBettingStrategy(bet_amount=1), diff --git a/pyproject.toml b/pyproject.toml index f95e2d22..8fc3f2e2 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -48,7 +48,6 @@ sqlmodel = "^0.0.21" psycopg2-binary = "^2.9.9" base58 = ">=1.0.2,<2.0" loky = "^3.4.1" -sacred = "^0.8.6" [tool.poetry.extras] openai = ["openai"] From 5333d1d4be43a145b4cd24d97c5e4de04b0b02c0 Mon Sep 17 00:00:00 2001 From: gabrielfior Date: Tue, 24 Sep 2024 23:48:44 -0300 Subject: [PATCH 04/37] Removed file --- .../markets/omen/test_attack_dos.py | 13 ------------- 1 file changed, 13 deletions(-) delete mode 100644 tests_integration_with_local_chain/markets/omen/test_attack_dos.py diff --git a/tests_integration_with_local_chain/markets/omen/test_attack_dos.py b/tests_integration_with_local_chain/markets/omen/test_attack_dos.py deleted file mode 100644 index d1462955..00000000 --- a/tests_integration_with_local_chain/markets/omen/test_attack_dos.py +++ /dev/null @@ -1,13 +0,0 @@ -from web3 import Web3 - - -def test_dos(local_web3: Web3) -> None: - # add wxDAI to creator and attacker - local_web3.eth.ba - # creator creates market - # creator adds funding - # attacker adds liquidity - # creator removes all funding - # attacker removes all liquidity - # check balance of attacker - pass From 195f019ca7e0f5112ba5c5d0d3964b797bf6185a Mon Sep 17 00:00:00 2001 From: gabrielfior Date: Tue, 24 Sep 2024 23:49:45 -0300 Subject: [PATCH 05/37] Removed another file --- poetry.lock | 1628 ++++++++++++++++----------------- scripts/token_amounts_calc.py | 61 -- 2 files changed, 801 insertions(+), 888 deletions(-) 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= get_buy_outcome_token_amount(bet_amount, True, yes, no, 0) - num = expected_tokens_yes - bought_yes - den = expected_tokens_yes - s = num / den - print(f"slippage {s}") - return s - - -if __name__ == "__main__": - bet_amount = 2.84e18 - yes = 11767992330161487184 - no = 4163836840241006013 - decimals = 18 - # bet_amount = 10 - # yes = 10 - # no = 10 - # decimals = 0 - p_yes = no / (yes + no) - print(f"initial p_yes {p_yes}") - expected_yes = bet_amount / p_yes - print(f"expected_yes {expected_yes}") - bought_yes = get_buy_outcome_token_amount(bet_amount, True, yes, no, 0) - print(f"bought yes {bought_yes}") - # We can define slippage either considering the tokens you get by minting or not, i.e. - # only consider the tokens you swap in the slippage calculation. - slippage = (expected_yes - bought_yes) / expected_yes - print(f"slippage {slippage}") - # what is the new price? - yes_prime = yes + bet_amount - bought_yes - no_prime = no + bet_amount - p_yes_prime = no_prime / (yes_prime + no_prime) - print(f"p_yes_prime {p_yes_prime}") - print(f"slippage calc {calc_slippage(bet_amount, yes, no)}") - - print( - f"yes {yes/1e18} no {no/10**decimals} bought_yes {bought_yes/10**decimals} yes_prime {yes_prime/10**decimals} no_prime {no_prime/10**decimals} k_0 {yes*no/10**(2*decimals)} k_1 {yes_prime*no_prime/10**(2*decimals)}" - ) - - # say we want 30% slippage - target_slippage = 0.3 - - def f(b: float) -> float: - actual_slippage = calc_slippage(b, yes, no) - return actual_slippage - target_slippage - - optimized_bet_amount = newton(f, 1e18) - print(f"optimized {optimized_bet_amount}") - - # Next steps - use target slippage to find bet amount - # Create new strategy based on slippage for Kelly - # Run simulations for that one From fd741d4034f610f7317894476aeafeee794a1485 Mon Sep 17 00:00:00 2001 From: gabrielfior Date: Wed, 25 Sep 2024 11:19:15 -0300 Subject: [PATCH 06/37] Removed omen corrections --- .../markets/omen/omen.py | 22 +++++++++++-------- 1 file changed, 13 insertions(+), 9 deletions(-) diff --git a/prediction_market_agent_tooling/markets/omen/omen.py b/prediction_market_agent_tooling/markets/omen/omen.py index 08902e70..3eb11ae5 100644 --- a/prediction_market_agent_tooling/markets/omen/omen.py +++ b/prediction_market_agent_tooling/markets/omen/omen.py @@ -633,6 +633,14 @@ def get_new_p_yes(self, bet_amount: BetAmount, direction: bool) -> Probability: ) return Probability(new_p_yes) + @staticmethod + def get_user_balance(user_id: str) -> float: + return float(get_balances(Web3.to_checksum_address(user_id)).total) + + @staticmethod + def get_user_id(api_keys: APIKeys) -> str: + return api_keys.bet_from_address + def get_omen_user_url(address: ChecksumAddress) -> str: return f"https://gnosisscan.io/address/{address}" @@ -930,7 +938,7 @@ def omen_fund_market_tx( web3: Web3 | None = None, ) -> None: market_contract = market.get_contract() - collateral_token_contract = market_contract.get_collateral_token_contract(web3=web3) + collateral_token_contract = market_contract.get_collateral_token_contract() amount_to_fund = collateral_token_contract.get_in_shares(funds, web3) @@ -1048,12 +1056,8 @@ def omen_remove_fund_market_tx( """ from_address = api_keys.bet_from_address market_contract = market.get_contract() - market_collateral_token_contract = market_contract.get_collateral_token_contract( - web3=web3 - ) - original_balance = market_collateral_token_contract.balanceOf( - from_address, web3=web3 - ) + market_collateral_token_contract = market_contract.get_collateral_token_contract() + original_balance = market_collateral_token_contract.balanceOf(from_address) total_shares = market_contract.balanceOf(from_address, web3=web3) if total_shares == 0: @@ -1088,11 +1092,11 @@ def omen_remove_fund_market_tx( web3=web3, ) - new_balance = market_collateral_token_contract.balanceOf(from_address, web3=web3) + new_balance = market_collateral_token_contract.balanceOf(from_address) logger.debug(f"Result from merge positions {result}") logger.info( - f"Withdrawn {new_balance - original_balance} {market_collateral_token_contract.symbol_cached(web3=web3)} from liquidity at {market.url=}." + f"Withdrawn {new_balance - original_balance} {market_collateral_token_contract.symbol_cached()} from liquidity at {market.url=}." ) From f7dc54b625676978c35cff552f2e605693e2c4b0 Mon Sep 17 00:00:00 2001 From: gabrielfior Date: Thu, 26 Sep 2024 10:51:29 -0300 Subject: [PATCH 07/37] WIP --- .env.example | 3 +- .../match_bets_with_langfuse_traces.py | 9 +++ poetry.lock | 29 ++++++- .../deploy/betting_strategy.py | 76 ++++++++++++++----- pyproject.toml | 1 + scripts/calc_slippage.py | 18 +++++ 6 files changed, 112 insertions(+), 24 deletions(-) create mode 100644 scripts/calc_slippage.py diff --git a/.env.example b/.env.example index 63365c39..3397bce8 100644 --- a/.env.example +++ b/.env.example @@ -1,4 +1,5 @@ MANIFOLD_API_KEY= BET_FROM_PRIVATE_KEY= OPENAI_API_KEY= -GRAPH_API_KEY= \ No newline at end of file +GRAPH_API_KEY= +GOOGLE_APPLICATION_CREDENTIALS= #for loading secrets from GCP \ No newline at end of file diff --git a/examples/monitor/match_bets_with_langfuse_traces.py b/examples/monitor/match_bets_with_langfuse_traces.py index a7f005cf..5b79ed26 100644 --- a/examples/monitor/match_bets_with_langfuse_traces.py +++ b/examples/monitor/match_bets_with_langfuse_traces.py @@ -1,6 +1,10 @@ from datetime import datetime from typing import Any +import hishel +from dotenv import load_dotenv + +load_dotenv() import pandas as pd from langfuse import Langfuse from pydantic import BaseModel @@ -126,6 +130,10 @@ def get_outcome_for_trace( KellyMaxSlippageBettingStrategy(max_bet_amount=25, max_slippage=0.2), ] + storage = hishel.FileStorage(ttl=3600) + controller = hishel.Controller(force_cache=True) + httpx_client = hishel.CacheClient(storage=storage, controller=controller) + print("# Agent Bet vs Simulated Bet Comparison") for agent_name, private_key in agent_pkey_map.items(): print(f"\n## {agent_name}\n") @@ -138,6 +146,7 @@ def get_outcome_for_trace( secret_key=api_keys.langfuse_secret_key.get_secret_value(), public_key=api_keys.langfuse_public_key, host=api_keys.langfuse_host, + httpx_client=httpx_client, ) traces = get_traces_for_agent( diff --git a/poetry.lock b/poetry.lock index 09a3c97b..d6936e1f 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1988,6 +1988,27 @@ doc = ["sphinx (>=5.0.0)", "sphinx-rtd-theme (>=1.0.0)", "towncrier (>=21,<22)"] lint = ["black (>=22)", "flake8 (==6.0.0)", "flake8-bugbear (==23.3.23)", "isort (>=5.10.1)", "mypy (==0.971)", "pydocstyle (>=5.0.0)"] test = ["eth-utils (>=1.0.1,<3)", "hypothesis (>=3.44.24,<=6.31.6)", "pytest (>=7.0.0)", "pytest-xdist (>=2.4.0)"] +[[package]] +name = "hishel" +version = "0.0.31" +description = "Persistent cache implementation for httpx and httpcore" +optional = false +python-versions = ">=3.8" +files = [ + {file = "hishel-0.0.31-py3-none-any.whl", hash = "sha256:8c0b4b3e6861d3eb643dccbedbe84e559d8422bdc58ebfea8ea8a5419ca18f52"}, + {file = "hishel-0.0.31.tar.gz", hash = "sha256:0577291a0159a466152096e2b8ac33c476707eb6a44e5dca6de5a855d7fbd38b"}, +] + +[package.dependencies] +httpx = ">=0.22.0" +typing-extensions = ">=4.8.0" + +[package.extras] +redis = ["redis (==5.0.1)"] +s3 = ["boto3 (>=1.15.0,<=1.15.3)", "boto3 (>=1.15.3)"] +sqlite = ["anysqlite (>=0.0.5)"] +yaml = ["pyyaml (==6.0.1)"] + [[package]] name = "hpack" version = "4.0.0" @@ -3519,13 +3540,13 @@ testing = ["pytest", "pytest-benchmark"] [[package]] name = "prompt-toolkit" -version = "3.0.47" +version = "3.0.48" description = "Library for building powerful interactive command lines in Python" optional = false python-versions = ">=3.7.0" files = [ - {file = "prompt_toolkit-3.0.47-py3-none-any.whl", hash = "sha256:0d7bfa67001d5e39d02c224b663abc33687405033a8c422d0d675a5a13361d10"}, - {file = "prompt_toolkit-3.0.47.tar.gz", hash = "sha256:1e1b29cb58080b1e69f207c893a1a7bf16d127a5c30c9d17a25a5d77792e5360"}, + {file = "prompt_toolkit-3.0.48-py3-none-any.whl", hash = "sha256:f49a827f90062e411f1ce1f854f2aedb3c23353244f8108b89283587397ac10e"}, + {file = "prompt_toolkit-3.0.48.tar.gz", hash = "sha256:d6623ab0477a80df74e646bdbc93621143f5caf104206aa29294d53de1a03d90"}, ] [package.dependencies] @@ -5838,4 +5859,4 @@ openai = ["openai"] [metadata] lock-version = "2.0" python-versions = ">=3.10,<3.12" -content-hash = "658abc9433182dac32862d8925b9fd262609b55adf55ecc7bbbed1af39709883" +content-hash = "6768f80fbfa31b8736e4a942440eea9be34e3e7b08896a6e93480d15188ec285" diff --git a/prediction_market_agent_tooling/deploy/betting_strategy.py b/prediction_market_agent_tooling/deploy/betting_strategy.py index 6190d3d8..baee81d9 100644 --- a/prediction_market_agent_tooling/deploy/betting_strategy.py +++ b/prediction_market_agent_tooling/deploy/betting_strategy.py @@ -1,7 +1,7 @@ from abc import ABC, abstractmethod import numpy as np -from scipy.optimize import newton +from scipy.optimize import bisect from prediction_market_agent_tooling.gtypes import xDai from prediction_market_agent_tooling.markets.agent_market import AgentMarket @@ -223,47 +223,81 @@ def __init__(self, max_slippage: float, max_bet_amount: float): self.max_slippage = max_slippage super().__init__(max_bet_amount=max_bet_amount) + def calc_bet_for_slippage( + self, buy_direction: bool, bet_amount: float, yes: float, no: float, fee: float + ) -> float: + if buy_direction: + r_a = yes + r_b = no + else: + r_a = no + r_b = yes + + p_a = r_b / (r_a + r_b) + n_a = bet_amount * (r_a + r_b) / (2 * r_b) + n_swap = r_a - ((r_a * r_b) / (r_b + ((bet_amount * (r_b + r_a)) / (2 * r_a)))) + n_r = n_a + n_swap + + p_a_new = bet_amount / n_r + new_bet_amount = p_a * (self.max_slippage + 1) * n_r + print( + f" p_a {p_a} n_swap {n_swap} p_a_new {p_a_new} new_bet_amount {new_bet_amount}" + ) + return new_bet_amount + def calc_slippage( self, buy_direction: bool, bet_amount: float, yes: float, no: float, fee: float ): total_outcome_tokens = yes + no - initial_price = ( + expected_price = ( no / total_outcome_tokens if buy_direction else yes / total_outcome_tokens ) - expected_tokens_bought = bet_amount / initial_price - tokens_bought = 0 + # expected_tokens_bought = bet_amount / initial_price + try: tokens_bought = get_buy_outcome_token_amount( bet_amount, buy_direction, yes, no, fee ) + except Exception as e: print("Error,", e) - pass - s = (expected_tokens_bought - tokens_bought) / expected_tokens_bought + return 1 + + actual_price = bet_amount / tokens_bought + s = (actual_price - expected_price) / expected_price return s def calculate_slippage_for_bet_amount( self, market: AgentMarket, kelly_bet: SimpleBet, fee: float ): - def slippage_diff(b: xDai) -> float: - yes_outcome_pool_size = market.outcome_token_pool[ - market.get_outcome_str_from_bool(True) - ] - no_outcome_pool_size = market.outcome_token_pool[ - market.get_outcome_str_from_bool(False) - ] + yes_outcome_pool_size = market.outcome_token_pool[ + market.get_outcome_str_from_bool(True) + ] + no_outcome_pool_size = market.outcome_token_pool[ + market.get_outcome_str_from_bool(False) + ] + + # slippage for (100) + slippage_50 = self.calc_slippage( + kelly_bet.direction, 50, yes_outcome_pool_size, no_outcome_pool_size, fee + ) + def slippage_diff(b: xDai) -> float: actual_slippage = self.calc_slippage( kelly_bet.direction, b, yes_outcome_pool_size, no_outcome_pool_size, fee ) - return actual_slippage - self.max_slippage + # translate in y + return actual_slippage - self.max_slippage - slippage_50 # ToDo - Try minimize_scalar, bisect # https://docs.scipy.org/doc/scipy/reference/generated/scipy.optimize.minimize_scalar.html#minimize-scalar try: - optimized_bet_amount = newton( - slippage_diff, self.max_bet_amount, maxiter=1000 - ) + # optimized_bet_amount = newton( + # slippage_diff, self.max_bet_amount, maxiter=1000 + # ) + # We use max(pool_tokens) to find a large value of slippage if required. + optimized_bet_amount = bisect(slippage_diff, 1e-12, 100, rtol=1e-6) + # other_amount = root_scalar( # slippage_diff, bracket=[1e-18, self.max_bet_amount] # ) @@ -307,9 +341,13 @@ def calculate_trades( ) # Adjust amount - max_slippage_bet_amount = self.calculate_slippage_for_bet_amount( - market, kelly_bet, 0 + # max_slippage_bet_amount = self.calculate_slippage_for_bet_amount( + # market, kelly_bet, 0 + # ) + new_bet_amount = self.calc_bet_for_slippage( + kelly_bet.direction, ) + kelly_bet_size = min(kelly_bet.size, max_slippage_bet_amount) # check slippage slippage_num = self.calc_slippage( diff --git a/pyproject.toml b/pyproject.toml index 8fc3f2e2..e03f1691 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -48,6 +48,7 @@ sqlmodel = "^0.0.21" psycopg2-binary = "^2.9.9" base58 = ">=1.0.2,<2.0" loky = "^3.4.1" +hishel = "^0.0.31" [tool.poetry.extras] openai = ["openai"] diff --git a/scripts/calc_slippage.py b/scripts/calc_slippage.py new file mode 100644 index 00000000..ebce0e9e --- /dev/null +++ b/scripts/calc_slippage.py @@ -0,0 +1,18 @@ +r_a = 10 +r_b = 10 +p_a = r_b / (r_a + r_b) +# alice buys YES (n_a) with b=10 +X = 10 +n_a = X * (r_a + r_b) / (2 * r_b) +n_b = X * (r_a + r_b) / (2 * r_a) +n_swap = r_a - ((r_a * r_b) / (r_b + ((X * (r_b + r_a)) / (2 * r_a)))) +n_r = n_a + n_swap + +p_a_new = X / n_r +slippage = (p_a_new - p_a) / p_a +print(f" p_a {p_a} n_swap {n_swap} p_a_new {p_a_new} slippage {slippage}") + +# slippage = 0.3333 +s = 1 / 5 +bet_amount = p_a * (s + 1) * n_r +print(f"bet_amount {bet_amount}") From 9b6aaa7bd78edf6db491c302e16afbd233f18a46 Mon Sep 17 00:00:00 2001 From: gabrielfior Date: Thu, 26 Sep 2024 21:58:37 -0300 Subject: [PATCH 08/37] Payouts increased --- .../match_bets_with_langfuse_traces.py | 15 ++- .../deploy/betting_strategy.py | 99 +++++++++++-------- 2 files changed, 72 insertions(+), 42 deletions(-) diff --git a/examples/monitor/match_bets_with_langfuse_traces.py b/examples/monitor/match_bets_with_langfuse_traces.py index 5b79ed26..6422240d 100644 --- a/examples/monitor/match_bets_with_langfuse_traces.py +++ b/examples/monitor/match_bets_with_langfuse_traces.py @@ -15,10 +15,10 @@ ProbabilisticAnswer, TradeType, KellyMaxSlippageBettingStrategy, - MaxExpectedValueBettingStrategy, - MaxAccuracyWithKellyScaledBetsStrategy, KellyBettingStrategy, MaxAccuracyBettingStrategy, + MaxAccuracyWithKellyScaledBetsStrategy, + MaxExpectedValueBettingStrategy, ) from prediction_market_agent_tooling.markets.data_models import ResolvedBet from prediction_market_agent_tooling.markets.omen.omen import OmenAgentMarket @@ -122,12 +122,21 @@ def get_outcome_for_trace( KellyMaxSlippageBettingStrategy(max_bet_amount=2, max_slippage=0.2), KellyMaxSlippageBettingStrategy(max_bet_amount=2, max_slippage=0.25), KellyMaxSlippageBettingStrategy(max_bet_amount=2, max_slippage=0.3), + KellyMaxSlippageBettingStrategy(max_bet_amount=2, max_slippage=0.4), + KellyMaxSlippageBettingStrategy(max_bet_amount=2, max_slippage=0.5), + KellyMaxSlippageBettingStrategy(max_bet_amount=2, max_slippage=0.7), KellyMaxSlippageBettingStrategy(max_bet_amount=5, max_slippage=0.1), KellyMaxSlippageBettingStrategy(max_bet_amount=5, max_slippage=0.15), KellyMaxSlippageBettingStrategy(max_bet_amount=5, max_slippage=0.2), + KellyMaxSlippageBettingStrategy(max_bet_amount=5, max_slippage=0.3), + KellyMaxSlippageBettingStrategy(max_bet_amount=5, max_slippage=0.5), + KellyMaxSlippageBettingStrategy(max_bet_amount=5, max_slippage=0.6), + KellyMaxSlippageBettingStrategy(max_bet_amount=5, max_slippage=0.7), KellyMaxSlippageBettingStrategy(max_bet_amount=25, max_slippage=0.1), - KellyMaxSlippageBettingStrategy(max_bet_amount=25, max_slippage=0.15), KellyMaxSlippageBettingStrategy(max_bet_amount=25, max_slippage=0.2), + KellyMaxSlippageBettingStrategy(max_bet_amount=25, max_slippage=0.3), + KellyMaxSlippageBettingStrategy(max_bet_amount=25, max_slippage=0.5), + KellyMaxSlippageBettingStrategy(max_bet_amount=25, max_slippage=0.7), ] storage = hishel.FileStorage(ttl=3600) diff --git a/prediction_market_agent_tooling/deploy/betting_strategy.py b/prediction_market_agent_tooling/deploy/betting_strategy.py index baee81d9..91eb7811 100644 --- a/prediction_market_agent_tooling/deploy/betting_strategy.py +++ b/prediction_market_agent_tooling/deploy/betting_strategy.py @@ -1,7 +1,7 @@ from abc import ABC, abstractmethod import numpy as np -from scipy.optimize import bisect +from scipy.optimize import minimize_scalar from prediction_market_agent_tooling.gtypes import xDai from prediction_market_agent_tooling.markets.agent_market import AgentMarket @@ -224,7 +224,7 @@ def __init__(self, max_slippage: float, max_bet_amount: float): super().__init__(max_bet_amount=max_bet_amount) def calc_bet_for_slippage( - self, buy_direction: bool, bet_amount: float, yes: float, no: float, fee: float + self, buy_direction: bool, yes: float, no: float, fee: float = 0 ) -> float: if buy_direction: r_a = yes @@ -233,16 +233,21 @@ def calc_bet_for_slippage( r_a = no r_b = yes + # p_a = r_b / (r_a + r_b) + # n_a = bet_amount * (r_a + r_b) / (2 * r_b) + # n_swap = r_a - ((r_a * r_b) / (r_b + ((bet_amount * (r_b + r_a)) / (2 * r_a)))) + # n_r = n_a + n_swap + # + # p_a_new = bet_amount / n_r + # new_bet_amount = p_a * (self.max_slippage + 1) * n_r + # print( + # f" p_a {p_a} n_swap {n_swap} p_a_new {p_a_new} new_bet_amount {new_bet_amount}" + # ) + + total_supply = r_a + r_b p_a = r_b / (r_a + r_b) - n_a = bet_amount * (r_a + r_b) / (2 * r_b) - n_swap = r_a - ((r_a * r_b) / (r_b + ((bet_amount * (r_b + r_a)) / (2 * r_a)))) - n_r = n_a + n_swap - - p_a_new = bet_amount / n_r - new_bet_amount = p_a * (self.max_slippage + 1) * n_r - print( - f" p_a {p_a} n_swap {n_swap} p_a_new {p_a_new} new_bet_amount {new_bet_amount}" - ) + g = (1 / (self.max_slippage * (p_a + 1))) - (total_supply * 0.5 / r_b) + new_bet_amount = r_a * ((1.0 / g) - (2.0 * r_b / total_supply)) return new_bet_amount def calc_slippage( @@ -252,18 +257,24 @@ def calc_slippage( expected_price = ( no / total_outcome_tokens if buy_direction else yes / total_outcome_tokens ) - # expected_tokens_bought = bet_amount / initial_price - - try: - tokens_bought = get_buy_outcome_token_amount( - bet_amount, buy_direction, yes, no, fee - ) - except Exception as e: - print("Error,", e) - return 1 + tokens_bought = get_buy_outcome_token_amount( + bet_amount, buy_direction, yes, no, fee + ) + new_yes = yes + bet_amount + new_no = no + bet_amount + if buy_direction: + new_yes -= tokens_bought + else: + new_no -= tokens_bought actual_price = bet_amount / tokens_bought + actual_price_2 = ( + new_no / (new_yes + new_no) + if buy_direction + else new_yes / (new_yes + new_no) + ) + # print(f"actual_price {actual_price} actual_price2 {actual_price_2}") s = (actual_price - expected_price) / expected_price return s @@ -277,26 +288,34 @@ def calculate_slippage_for_bet_amount( market.get_outcome_str_from_bool(False) ] - # slippage for (100) - slippage_50 = self.calc_slippage( - kelly_bet.direction, 50, yes_outcome_pool_size, no_outcome_pool_size, fee - ) - def slippage_diff(b: xDai) -> float: actual_slippage = self.calc_slippage( kelly_bet.direction, b, yes_outcome_pool_size, no_outcome_pool_size, fee ) # translate in y - return actual_slippage - self.max_slippage - slippage_50 + return abs(actual_slippage - self.max_slippage) # ToDo - Try minimize_scalar, bisect # https://docs.scipy.org/doc/scipy/reference/generated/scipy.optimize.minimize_scalar.html#minimize-scalar try: + optimized_bet_amount = minimize_scalar( + slippage_diff, + bounds=(min(yes_outcome_pool_size, no_outcome_pool_size) / 10, 100), + method="bounded", + tol=1e-7, + options={"maxiter": 10000}, + ).x # optimized_bet_amount = newton( # slippage_diff, self.max_bet_amount, maxiter=1000 # ) # We use max(pool_tokens) to find a large value of slippage if required. - optimized_bet_amount = bisect(slippage_diff, 1e-12, 100, rtol=1e-6) + # optimized_bet_amount = bisect(slippage_diff, 1e-12, 100, rtol=1e-6) + # optimized_bet_amount = find_target_slippage( + # kelly_bet.direction, + # kelly_bet.size, + # yes_outcome_pool_size, + # no_outcome_pool_size, + # ) # other_amount = root_scalar( # slippage_diff, bracket=[1e-18, self.max_bet_amount] @@ -339,30 +358,32 @@ def calculate_trades( answer.confidence, ) ) - + markets_for_debug = [ + "0x04527b6afde0192b47f5450b2ff5183e5d7c12b5", + "0x11cf6ec9649097127238ffb789b0703da448d9fa", + "0x67d5e1a18c54686402d26cde2441c56d67096a9c", + ] + if market.id in markets_for_debug: + pass # Adjust amount - # max_slippage_bet_amount = self.calculate_slippage_for_bet_amount( - # market, kelly_bet, 0 - # ) - new_bet_amount = self.calc_bet_for_slippage( - kelly_bet.direction, + max_slippage_bet_amount = self.calculate_slippage_for_bet_amount( + market, kelly_bet, 0 ) kelly_bet_size = min(kelly_bet.size, max_slippage_bet_amount) # check slippage slippage_num = self.calc_slippage( kelly_bet.direction, - max_slippage_bet_amount, + kelly_bet_size, market.outcome_token_pool["Yes"], market.outcome_token_pool["No"], 0, ) - print(f"slippage calc {slippage_num}") - if not np.isclose( - slippage_num, self.max_slippage, atol=self.max_slippage / 100 + # print(f"slippage calc {slippage_num}") + if slippage_num > self.max_slippage and not np.isclose( + slippage_num, self.max_slippage, self.max_slippage / 100 ): - print("Slippage wrong") - kelly_bet_size = kelly_bet.size + print(f"Slippage too high, market_id {market.id}") amounts = { market.get_outcome_str_from_bool(kelly_bet.direction): TokenAmount( From c17790d1cafed231160109dfc3567daf9b975dca Mon Sep 17 00:00:00 2001 From: gabrielfior Date: Fri, 27 Sep 2024 14:58:23 -0300 Subject: [PATCH 09/37] Added tests for kelly slippage | PR comments --- .../match_bets_with_langfuse_traces.py | 45 ++-- .../deploy/betting_strategy.py | 225 +++++------------- .../markets/data_models.py | 2 +- tests/markets/omen/test_kelly.py | 46 ++++ 4 files changed, 130 insertions(+), 188 deletions(-) create mode 100644 tests/markets/omen/test_kelly.py diff --git a/examples/monitor/match_bets_with_langfuse_traces.py b/examples/monitor/match_bets_with_langfuse_traces.py index 8d165aee..c6095ad1 100644 --- a/examples/monitor/match_bets_with_langfuse_traces.py +++ b/examples/monitor/match_bets_with_langfuse_traces.py @@ -14,7 +14,6 @@ BettingStrategy, ProbabilisticAnswer, TradeType, - KellyMaxSlippageBettingStrategy, KellyBettingStrategy, MaxAccuracyBettingStrategy, MaxAccuracyWithKellyScaledBetsStrategy, @@ -115,28 +114,28 @@ def get_outcome_for_trace( MaxExpectedValueBettingStrategy(bet_amount=1), MaxExpectedValueBettingStrategy(bet_amount=2), MaxExpectedValueBettingStrategy(bet_amount=25), - KellyMaxSlippageBettingStrategy(max_bet_amount=2, max_slippage=0.01), - KellyMaxSlippageBettingStrategy(max_bet_amount=2, max_slippage=0.05), - KellyMaxSlippageBettingStrategy(max_bet_amount=2, max_slippage=0.1), - KellyMaxSlippageBettingStrategy(max_bet_amount=2, max_slippage=0.15), - KellyMaxSlippageBettingStrategy(max_bet_amount=2, max_slippage=0.2), - KellyMaxSlippageBettingStrategy(max_bet_amount=2, max_slippage=0.25), - KellyMaxSlippageBettingStrategy(max_bet_amount=2, max_slippage=0.3), - KellyMaxSlippageBettingStrategy(max_bet_amount=2, max_slippage=0.4), - KellyMaxSlippageBettingStrategy(max_bet_amount=2, max_slippage=0.5), - KellyMaxSlippageBettingStrategy(max_bet_amount=2, max_slippage=0.7), - KellyMaxSlippageBettingStrategy(max_bet_amount=5, max_slippage=0.1), - KellyMaxSlippageBettingStrategy(max_bet_amount=5, max_slippage=0.15), - KellyMaxSlippageBettingStrategy(max_bet_amount=5, max_slippage=0.2), - KellyMaxSlippageBettingStrategy(max_bet_amount=5, max_slippage=0.3), - KellyMaxSlippageBettingStrategy(max_bet_amount=5, max_slippage=0.5), - KellyMaxSlippageBettingStrategy(max_bet_amount=5, max_slippage=0.6), - KellyMaxSlippageBettingStrategy(max_bet_amount=5, max_slippage=0.7), - KellyMaxSlippageBettingStrategy(max_bet_amount=25, max_slippage=0.1), - KellyMaxSlippageBettingStrategy(max_bet_amount=25, max_slippage=0.2), - KellyMaxSlippageBettingStrategy(max_bet_amount=25, max_slippage=0.3), - KellyMaxSlippageBettingStrategy(max_bet_amount=25, max_slippage=0.5), - KellyMaxSlippageBettingStrategy(max_bet_amount=25, max_slippage=0.7), + KellyBettingStrategy(max_bet_amount=2, max_slippage=0.01), + KellyBettingStrategy(max_bet_amount=2, max_slippage=0.05), + KellyBettingStrategy(max_bet_amount=2, max_slippage=0.1), + KellyBettingStrategy(max_bet_amount=2, max_slippage=0.15), + KellyBettingStrategy(max_bet_amount=2, max_slippage=0.2), + KellyBettingStrategy(max_bet_amount=2, max_slippage=0.25), + KellyBettingStrategy(max_bet_amount=2, max_slippage=0.3), + KellyBettingStrategy(max_bet_amount=2, max_slippage=0.4), + KellyBettingStrategy(max_bet_amount=2, max_slippage=0.5), + KellyBettingStrategy(max_bet_amount=2, max_slippage=0.7), + KellyBettingStrategy(max_bet_amount=5, max_slippage=0.1), + KellyBettingStrategy(max_bet_amount=5, max_slippage=0.15), + KellyBettingStrategy(max_bet_amount=5, max_slippage=0.2), + KellyBettingStrategy(max_bet_amount=5, max_slippage=0.3), + KellyBettingStrategy(max_bet_amount=5, max_slippage=0.5), + KellyBettingStrategy(max_bet_amount=5, max_slippage=0.6), + KellyBettingStrategy(max_bet_amount=5, max_slippage=0.7), + KellyBettingStrategy(max_bet_amount=25, max_slippage=0.1), + KellyBettingStrategy(max_bet_amount=25, max_slippage=0.2), + KellyBettingStrategy(max_bet_amount=25, max_slippage=0.3), + KellyBettingStrategy(max_bet_amount=25, max_slippage=0.5), + KellyBettingStrategy(max_bet_amount=25, max_slippage=0.7), ] storage = hishel.FileStorage(ttl=3600) diff --git a/prediction_market_agent_tooling/deploy/betting_strategy.py b/prediction_market_agent_tooling/deploy/betting_strategy.py index 1b50434f..828ac43f 100644 --- a/prediction_market_agent_tooling/deploy/betting_strategy.py +++ b/prediction_market_agent_tooling/deploy/betting_strategy.py @@ -1,6 +1,7 @@ from abc import ABC, abstractmethod import numpy as np +from loguru import logger from scipy.optimize import minimize_scalar from prediction_market_agent_tooling.gtypes import xDai @@ -142,8 +143,27 @@ def calculate_direction(market_p_yes: float, estimate_p_yes: float) -> bool: class KellyBettingStrategy(BettingStrategy): - def __init__(self, max_bet_amount: float): + def __init__(self, max_bet_amount: float, max_slippage: float | None = None): self.max_bet_amount = max_bet_amount + self.max_price_impact = max_slippage + + def _check_price_impact_ok_else_log( + self, buy_direction: bool, bet_size: float, market: AgentMarket + ) -> None: + slippage = self.calculate_slippage_for_bet_amount( + buy_direction, + bet_size, + market.outcome_token_pool["Yes"], + market.outcome_token_pool["No"], + 0, + ) + + if slippage > self.max_price_impact and not np.isclose( + slippage, self.max_price_impact, self.max_price_impact / 100 + ): + logger.info( + f"Slippage {slippage} deviates too much from self.max_slippage {self.max_price_impact}, market_id {market.id}" + ) def calculate_trades( self, @@ -173,9 +193,23 @@ def calculate_trades( ) ) + kelly_bet_size = kelly_bet.size + if self.max_price_impact: + # Adjust amount + max_slippage_bet_amount = self.calculate_bet_amount_for_price_impact( + market, kelly_bet, 0 + ) + + # We just don't want Kelly size to extrapolate price_impact - hence we take the min. + kelly_bet_size = min(kelly_bet.size, max_slippage_bet_amount) + + self._check_price_impact_ok_else_log( + kelly_bet.direction, kelly_bet_size, market + ) + amounts = { market.get_outcome_str_from_bool(kelly_bet.direction): TokenAmount( - amount=kelly_bet.size, currency=market.currency + amount=kelly_bet_size, currency=market.currency ), } target_position = Position(market_id=market.id, amounts=amounts) @@ -184,45 +218,9 @@ def calculate_trades( ) return trades - def __repr__(self) -> str: - return f"{self.__class__.__name__}(max_bet_amount={self.max_bet_amount})" - - -class KellyMaxSlippageBettingStrategy(KellyBettingStrategy): - def __init__(self, max_slippage: float, max_bet_amount: float): - self.max_slippage = max_slippage - super().__init__(max_bet_amount=max_bet_amount) - - def calc_bet_for_slippage( - self, buy_direction: bool, yes: float, no: float, fee: float = 0 - ) -> float: - if buy_direction: - r_a = yes - r_b = no - else: - r_a = no - r_b = yes - - # p_a = r_b / (r_a + r_b) - # n_a = bet_amount * (r_a + r_b) / (2 * r_b) - # n_swap = r_a - ((r_a * r_b) / (r_b + ((bet_amount * (r_b + r_a)) / (2 * r_a)))) - # n_r = n_a + n_swap - # - # p_a_new = bet_amount / n_r - # new_bet_amount = p_a * (self.max_slippage + 1) * n_r - # print( - # f" p_a {p_a} n_swap {n_swap} p_a_new {p_a_new} new_bet_amount {new_bet_amount}" - # ) - - total_supply = r_a + r_b - p_a = r_b / (r_a + r_b) - g = (1 / (self.max_slippage * (p_a + 1))) - (total_supply * 0.5 / r_b) - new_bet_amount = r_a * ((1.0 / g) - (2.0 * r_b / total_supply)) - return new_bet_amount - - def calc_slippage( + def calculate_slippage_for_bet_amount( self, buy_direction: bool, bet_amount: float, yes: float, no: float, fee: float - ): + ) -> float: total_outcome_tokens = yes + no expected_price = ( no / total_outcome_tokens if buy_direction else yes / total_outcome_tokens @@ -231,26 +229,23 @@ def calc_slippage( tokens_bought = get_buy_outcome_token_amount( bet_amount, buy_direction, yes, no, fee ) - new_yes = yes + bet_amount - new_no = no + bet_amount - if buy_direction: - new_yes -= tokens_bought - else: - new_no -= tokens_bought actual_price = bet_amount / tokens_bought - actual_price_2 = ( - new_no / (new_yes + new_no) - if buy_direction - else new_yes / (new_yes + new_no) - ) - # print(f"actual_price {actual_price} actual_price2 {actual_price_2}") - s = (actual_price - expected_price) / expected_price - return s + # Slippage should be > 0 if we paid more than expected_price, and + # < 0 if we paid less than expected_price. + slippage = (actual_price - expected_price) / expected_price + return slippage - def calculate_slippage_for_bet_amount( + def calculate_bet_amount_for_price_impact( self, market: AgentMarket, kelly_bet: SimpleBet, fee: float - ): + ) -> float: + def calculate_price_impact_deviation_from_target_price_impact(b: xDai) -> float: + actual_slippage = self.calculate_slippage_for_bet_amount( + kelly_bet.direction, b, yes_outcome_pool_size, no_outcome_pool_size, fee + ) + # translate in y + return abs(actual_slippage - self.max_price_impact) + yes_outcome_pool_size = market.outcome_token_pool[ market.get_outcome_str_from_bool(True) ] @@ -258,121 +253,23 @@ def calculate_slippage_for_bet_amount( market.get_outcome_str_from_bool(False) ] - def slippage_diff(b: xDai) -> float: - actual_slippage = self.calc_slippage( - kelly_bet.direction, b, yes_outcome_pool_size, no_outcome_pool_size, fee - ) - # translate in y - return abs(actual_slippage - self.max_slippage) - - # ToDo - Try minimize_scalar, bisect - # https://docs.scipy.org/doc/scipy/reference/generated/scipy.optimize.minimize_scalar.html#minimize-scalar - try: - optimized_bet_amount = minimize_scalar( - slippage_diff, - bounds=(min(yes_outcome_pool_size, no_outcome_pool_size) / 10, 100), - method="bounded", - tol=1e-7, - options={"maxiter": 10000}, - ).x - # optimized_bet_amount = newton( - # slippage_diff, self.max_bet_amount, maxiter=1000 - # ) - # We use max(pool_tokens) to find a large value of slippage if required. - # optimized_bet_amount = bisect(slippage_diff, 1e-12, 100, rtol=1e-6) - # optimized_bet_amount = find_target_slippage( - # kelly_bet.direction, - # kelly_bet.size, - # yes_outcome_pool_size, - # no_outcome_pool_size, - # ) - - # other_amount = root_scalar( - # slippage_diff, bracket=[1e-18, self.max_bet_amount] - # ) - # optimized_bet_amount = other_amount.root - # result = root_scalar( - # f, method="brentq", bracket=[1e-18, self.max_bet_amount] - # ) - # optimized_bet_amount = result.root - except Exception as e: - print("Could not converge. ", e) - return kelly_bet.size - return optimized_bet_amount - - def calculate_trades( - self, - existing_position: Position | None, - answer: ProbabilisticAnswer, - market: AgentMarket, - ) -> list[Trade]: - adjusted_bet_amount = self.adjust_bet_amount(existing_position, market) - outcome_token_pool = check_not_none(market.outcome_token_pool) - kelly_bet = ( - get_kelly_bet_full( - yes_outcome_pool_size=outcome_token_pool[ - market.get_outcome_str_from_bool(True) - ], - no_outcome_pool_size=outcome_token_pool[ - market.get_outcome_str_from_bool(False) - ], - estimated_p_yes=answer.p_yes, - max_bet=adjusted_bet_amount, - confidence=answer.confidence, - ) - if market.has_token_pool() - else get_kelly_bet_simplified( - adjusted_bet_amount, - market.current_p_yes, - answer.p_yes, - answer.confidence, - ) + optimized_bet_amount = minimize_scalar( + calculate_price_impact_deviation_from_target_price_impact, + bounds=(min(yes_outcome_pool_size, no_outcome_pool_size) / 10, 1000), + method="bounded", + tol=1e-7, + options={"maxiter": 10000}, ) - markets_for_debug = [ - "0x04527b6afde0192b47f5450b2ff5183e5d7c12b5", - "0x11cf6ec9649097127238ffb789b0703da448d9fa", - "0x67d5e1a18c54686402d26cde2441c56d67096a9c", - ] - if market.id in markets_for_debug: - pass - # Adjust amount - max_slippage_bet_amount = self.calculate_slippage_for_bet_amount( - market, kelly_bet, 0 - ) - - kelly_bet_size = min(kelly_bet.size, max_slippage_bet_amount) - # check slippage - slippage_num = self.calc_slippage( - kelly_bet.direction, - kelly_bet_size, - market.outcome_token_pool["Yes"], - market.outcome_token_pool["No"], - 0, - ) - # print(f"slippage calc {slippage_num}") - if slippage_num > self.max_slippage and not np.isclose( - slippage_num, self.max_slippage, self.max_slippage / 100 - ): - print(f"Slippage too high, market_id {market.id}") - - amounts = { - market.get_outcome_str_from_bool(kelly_bet.direction): TokenAmount( - amount=kelly_bet_size, currency=market.currency - ), - } - target_position = Position(market_id=market.id, amounts=amounts) - trades = self._build_rebalance_trades_from_positions( - existing_position, target_position, market=market - ) - return trades + return optimized_bet_amount.x def __repr__(self) -> str: - return super().__repr__() + f"(max_slippage={self.max_slippage})" + return f"{self.__class__.__name__}(max_bet_amount={self.max_bet_amount})(max_price_impact={self.max_price_impact})" class MaxAccuracyWithKellyScaledBetsStrategy(BettingStrategy): - def __init__(self, max_bet_amount: float = 10): + def __init__(self, max_bet_amount: float = 10, max_slippage: float | None = None): self.max_bet_amount = max_bet_amount + self.max_slippage = max_slippage def adjust_bet_amount( self, existing_position: Position | None, market: AgentMarket diff --git a/prediction_market_agent_tooling/markets/data_models.py b/prediction_market_agent_tooling/markets/data_models.py index 7c219aeb..333a36e1 100644 --- a/prediction_market_agent_tooling/markets/data_models.py +++ b/prediction_market_agent_tooling/markets/data_models.py @@ -130,7 +130,7 @@ class Trade(BaseModel): class PlacedTrade(Trade): - id: str + id: str | None = None @staticmethod def from_trade(trade: Trade, id: str) -> "PlacedTrade": diff --git a/tests/markets/omen/test_kelly.py b/tests/markets/omen/test_kelly.py new file mode 100644 index 00000000..f36b7565 --- /dev/null +++ b/tests/markets/omen/test_kelly.py @@ -0,0 +1,46 @@ +import numpy as np + +from prediction_market_agent_tooling.deploy.betting_strategy import KellyBettingStrategy + + +def test_kelly_slippage_calculation1() -> None: + # First case from https://docs.gnosis.io/conditionaltokens/docs/introduction3/#an-example-with-cpmm + kelly = KellyBettingStrategy(max_bet_amount=1, max_slippage=0.5) + yes = 10 + no = 10 + bet_amount = 10 + buy_direction = True + assert_slip_ok(bet_amount, buy_direction, yes, no, kelly) + + +def test_kelly_slippage_calculation2() -> None: + kelly = KellyBettingStrategy(max_bet_amount=1, max_slippage=0.5) + # after first bet 10 xDAI on Yes, new yes/no + yes = 5 + no = 20 + bet_amount = 10 + buy_direction = False + assert_slip_ok(bet_amount, buy_direction, yes, no, kelly) + + +def assert_slip_ok( + bet_amount: float, + buy_direction: bool, + yes: float, + no: float, + kelly: KellyBettingStrategy, +): + # expect + expected_price = yes / (yes + no) # p_yes + tokens_bought = (no + bet_amount) - ( + (yes * no) / (yes + bet_amount) + ) # 23.333 # x*y = k + actual_price = bet_amount / tokens_bought + expected_slip = (actual_price - expected_price) / expected_price + #### + slip = kelly.calculate_slippage_for_bet_amount( + buy_direction, bet_amount=bet_amount, yes=yes, no=no, fee=0 + ) + assert np.isclose(slip, expected_slip, rtol=0.01) + + print(slip) From a6804a3c213eef52c3de569814445ff68f011571 Mon Sep 17 00:00:00 2001 From: gabrielfior Date: Mon, 30 Sep 2024 12:07:39 -0300 Subject: [PATCH 10/37] WIP --- .../match_bets_with_langfuse_traces.py | 32 ++++++++++--------- 1 file changed, 17 insertions(+), 15 deletions(-) diff --git a/examples/monitor/match_bets_with_langfuse_traces.py b/examples/monitor/match_bets_with_langfuse_traces.py index c6095ad1..9cf6bc77 100644 --- a/examples/monitor/match_bets_with_langfuse_traces.py +++ b/examples/monitor/match_bets_with_langfuse_traces.py @@ -89,7 +89,7 @@ def get_outcome_for_trace( agent_gcp_secret_map = { "DeployablePredictionProphetGPT4TurboFinalAgent": "pma-prophetgpt4turbo-final", "DeployablePredictionProphetGPT4TurboPreviewAgent": "pma-prophetgpt4", - "DeployablePredictionProphetGPT4oAgent": "pma-prophetgpt3", + # "DeployablePredictionProphetGPT4oAgent": "pma-prophetgpt3", "DeployableOlasEmbeddingOAAgent": "pma-evo-olas-embeddingoa", # "DeployableThinkThoroughlyAgent": "pma-think-thoroughly", # no bets! # "DeployableThinkThoroughlyProphetResearchAgent": "pma-think-thoroughly-prophet-research", # no bets! @@ -102,32 +102,34 @@ def get_outcome_for_trace( # Define strategies we want to test out strategies = [ - MaxAccuracyBettingStrategy(bet_amount=1), + # MaxAccuracyBettingStrategy(bet_amount=1), MaxAccuracyBettingStrategy(bet_amount=2), - MaxAccuracyBettingStrategy(bet_amount=25), + # MaxAccuracyBettingStrategy(bet_amount=25), KellyBettingStrategy(max_bet_amount=1), KellyBettingStrategy(max_bet_amount=2), KellyBettingStrategy(max_bet_amount=25), - MaxAccuracyWithKellyScaledBetsStrategy(max_bet_amount=1), + # MaxAccuracyWithKellyScaledBetsStrategy(max_bet_amount=1), MaxAccuracyWithKellyScaledBetsStrategy(max_bet_amount=2), - MaxAccuracyWithKellyScaledBetsStrategy(max_bet_amount=25), + # MaxAccuracyWithKellyScaledBetsStrategy(max_bet_amount=25), MaxExpectedValueBettingStrategy(bet_amount=1), MaxExpectedValueBettingStrategy(bet_amount=2), - MaxExpectedValueBettingStrategy(bet_amount=25), - KellyBettingStrategy(max_bet_amount=2, max_slippage=0.01), - KellyBettingStrategy(max_bet_amount=2, max_slippage=0.05), - KellyBettingStrategy(max_bet_amount=2, max_slippage=0.1), - KellyBettingStrategy(max_bet_amount=2, max_slippage=0.15), - KellyBettingStrategy(max_bet_amount=2, max_slippage=0.2), - KellyBettingStrategy(max_bet_amount=2, max_slippage=0.25), + # MaxExpectedValueBettingStrategy(bet_amount=25), + # KellyBettingStrategy(max_bet_amount=2, max_slippage=0.01), + # KellyBettingStrategy(max_bet_amount=2, max_slippage=0.05), + # KellyBettingStrategy(max_bet_amount=2, max_slippage=0.1), + # KellyBettingStrategy(max_bet_amount=2, max_slippage=0.15), + # KellyBettingStrategy(max_bet_amount=2, max_slippage=0.2), + # KellyBettingStrategy(max_bet_amount=2, max_slippage=0.25), KellyBettingStrategy(max_bet_amount=2, max_slippage=0.3), KellyBettingStrategy(max_bet_amount=2, max_slippage=0.4), KellyBettingStrategy(max_bet_amount=2, max_slippage=0.5), + KellyBettingStrategy(max_bet_amount=2, max_slippage=0.6), KellyBettingStrategy(max_bet_amount=2, max_slippage=0.7), - KellyBettingStrategy(max_bet_amount=5, max_slippage=0.1), - KellyBettingStrategy(max_bet_amount=5, max_slippage=0.15), - KellyBettingStrategy(max_bet_amount=5, max_slippage=0.2), + # KellyBettingStrategy(max_bet_amount=5, max_slippage=0.1), + # KellyBettingStrategy(max_bet_amount=5, max_slippage=0.15), + # KellyBettingStrategy(max_bet_amount=5, max_slippage=0.2), KellyBettingStrategy(max_bet_amount=5, max_slippage=0.3), + KellyBettingStrategy(max_bet_amount=5, max_slippage=0.4), KellyBettingStrategy(max_bet_amount=5, max_slippage=0.5), KellyBettingStrategy(max_bet_amount=5, max_slippage=0.6), KellyBettingStrategy(max_bet_amount=5, max_slippage=0.7), From ac99ce184150a40a5b0f45ea1f41db239d6a1d6d Mon Sep 17 00:00:00 2001 From: gabrielfior Date: Mon, 30 Sep 2024 19:39:43 -0300 Subject: [PATCH 11/37] Fetching bets with more error checking --- .../match_bets_with_langfuse_traces.py | 22 +++++++++---------- .../tools/langfuse_client_utils.py | 16 ++++++++------ 2 files changed, 20 insertions(+), 18 deletions(-) diff --git a/examples/monitor/match_bets_with_langfuse_traces.py b/examples/monitor/match_bets_with_langfuse_traces.py index 9cf6bc77..ead44782 100644 --- a/examples/monitor/match_bets_with_langfuse_traces.py +++ b/examples/monitor/match_bets_with_langfuse_traces.py @@ -89,11 +89,11 @@ def get_outcome_for_trace( agent_gcp_secret_map = { "DeployablePredictionProphetGPT4TurboFinalAgent": "pma-prophetgpt4turbo-final", "DeployablePredictionProphetGPT4TurboPreviewAgent": "pma-prophetgpt4", - # "DeployablePredictionProphetGPT4oAgent": "pma-prophetgpt3", + "DeployablePredictionProphetGPT4oAgent": "pma-prophetgpt3", "DeployableOlasEmbeddingOAAgent": "pma-evo-olas-embeddingoa", # "DeployableThinkThoroughlyAgent": "pma-think-thoroughly", # no bets! # "DeployableThinkThoroughlyProphetResearchAgent": "pma-think-thoroughly-prophet-research", # no bets! - "DeployableKnownOutcomeAgent": "pma-knownoutcome", + # "DeployableKnownOutcomeAgent": "pma-knownoutcome", } agent_pkey_map = { @@ -114,20 +114,20 @@ def get_outcome_for_trace( MaxExpectedValueBettingStrategy(bet_amount=1), MaxExpectedValueBettingStrategy(bet_amount=2), # MaxExpectedValueBettingStrategy(bet_amount=25), - # KellyBettingStrategy(max_bet_amount=2, max_slippage=0.01), - # KellyBettingStrategy(max_bet_amount=2, max_slippage=0.05), - # KellyBettingStrategy(max_bet_amount=2, max_slippage=0.1), - # KellyBettingStrategy(max_bet_amount=2, max_slippage=0.15), - # KellyBettingStrategy(max_bet_amount=2, max_slippage=0.2), - # KellyBettingStrategy(max_bet_amount=2, max_slippage=0.25), + KellyBettingStrategy(max_bet_amount=2, max_slippage=0.01), + KellyBettingStrategy(max_bet_amount=2, max_slippage=0.05), + KellyBettingStrategy(max_bet_amount=2, max_slippage=0.1), + KellyBettingStrategy(max_bet_amount=2, max_slippage=0.15), + KellyBettingStrategy(max_bet_amount=2, max_slippage=0.2), + KellyBettingStrategy(max_bet_amount=2, max_slippage=0.25), KellyBettingStrategy(max_bet_amount=2, max_slippage=0.3), KellyBettingStrategy(max_bet_amount=2, max_slippage=0.4), KellyBettingStrategy(max_bet_amount=2, max_slippage=0.5), KellyBettingStrategy(max_bet_amount=2, max_slippage=0.6), KellyBettingStrategy(max_bet_amount=2, max_slippage=0.7), - # KellyBettingStrategy(max_bet_amount=5, max_slippage=0.1), - # KellyBettingStrategy(max_bet_amount=5, max_slippage=0.15), - # KellyBettingStrategy(max_bet_amount=5, max_slippage=0.2), + KellyBettingStrategy(max_bet_amount=5, max_slippage=0.1), + KellyBettingStrategy(max_bet_amount=5, max_slippage=0.15), + KellyBettingStrategy(max_bet_amount=5, max_slippage=0.2), KellyBettingStrategy(max_bet_amount=5, max_slippage=0.3), KellyBettingStrategy(max_bet_amount=5, max_slippage=0.4), KellyBettingStrategy(max_bet_amount=5, max_slippage=0.5), diff --git a/prediction_market_agent_tooling/tools/langfuse_client_utils.py b/prediction_market_agent_tooling/tools/langfuse_client_utils.py index ba7f3865..638681f4 100644 --- a/prediction_market_agent_tooling/tools/langfuse_client_utils.py +++ b/prediction_market_agent_tooling/tools/langfuse_client_utils.py @@ -24,11 +24,11 @@ class ProcessMarketTrace(BaseModel): trades: list[PlacedTrade] @property - def buy_trade(self) -> PlacedTrade: - buy_trades = [t for t in self.trades if t.trade_type == TradeType.BUY] - if len(buy_trades) == 1: - return buy_trades[0] - raise ValueError("No buy trade found") + def buy_trade(self) -> PlacedTrade | None: + buy_trade = next( + iter([t for t in self.trades if t.trade_type == TradeType.BUY]), None + ) + return buy_trade @staticmethod def from_langfuse_trace( @@ -135,8 +135,10 @@ def get_trace_for_bet( traces_for_bet: list[ProcessMarketTrace] = [] for t in traces: # Cannot use exact comparison due to gas fees - if t.buy_trade.outcome == bet.outcome and np.isclose( - t.buy_trade.amount.amount, bet.amount.amount + if ( + t.buy_trade + and t.buy_trade.outcome == bet.outcome + and np.isclose(t.buy_trade.amount.amount, bet.amount.amount) ): traces_for_bet.append(t) From bda388beb66183740eabc494c2d760ea60f5addc Mon Sep 17 00:00:00 2001 From: evangriffiths Date: Tue, 1 Oct 2024 10:39:09 +0100 Subject: [PATCH 12/37] Fix examples/monitor/match_bets_with_langfuse_traces.py --- .../match_bets_with_langfuse_traces.py | 19 +- poetry.lock | 633 +++++++++--------- .../markets/data_models.py | 2 +- .../tools/langfuse_client_utils.py | 16 +- 4 files changed, 339 insertions(+), 331 deletions(-) diff --git a/examples/monitor/match_bets_with_langfuse_traces.py b/examples/monitor/match_bets_with_langfuse_traces.py index bc6eba3e..fc7cbab9 100644 --- a/examples/monitor/match_bets_with_langfuse_traces.py +++ b/examples/monitor/match_bets_with_langfuse_traces.py @@ -83,13 +83,13 @@ def get_outcome_for_trace( if __name__ == "__main__": # Get the private keys for the agents from GCP Secret Manager agent_gcp_secret_map = { - "DeployablePredictionProphetGPT4TurboFinalAgent": "pma-prophetgpt4turbo-final", - "DeployablePredictionProphetGPT4TurboPreviewAgent": "pma-prophetgpt4", - "DeployablePredictionProphetGPT4oAgent": "pma-prophetgpt3", - "DeployableOlasEmbeddingOAAgent": "pma-evo-olas-embeddingoa", - # "DeployableThinkThoroughlyAgent": "pma-think-thoroughly", # no bets! - # "DeployableThinkThoroughlyProphetResearchAgent": "pma-think-thoroughly-prophet-research", # no bets! - "DeployableKnownOutcomeAgent": "pma-knownoutcome", + # "DeployablePredictionProphetGPT4TurboFinalAgent": "pma-prophetgpt4turbo-final", + # "DeployablePredictionProphetGPT4TurboPreviewAgent": "pma-prophetgpt4", + # "DeployablePredictionProphetGPT4oAgent": "pma-prophetgpt3", + # "DeployableOlasEmbeddingOAAgent": "pma-evo-olas-embeddingoa", + "DeployableThinkThoroughlyAgent": "pma-think-thoroughly", # no bets! + "DeployableThinkThoroughlyProphetResearchAgent": "pma-think-thoroughly-prophet-research", # no bets! + # "DeployableKnownOutcomeAgent": "pma-knownoutcome", } agent_pkey_map = { k: get_private_key_from_gcp_secret(v) for k, v in agent_gcp_secret_map.items() @@ -194,9 +194,6 @@ def get_outcome_for_trace( ) details.sort(key=lambda x: x["sim_profit"], reverse=True) - pd.DataFrame.from_records(details).to_csv( - f"{agent_name} - {strategy} - all bets.csv", index=False - ) total_bet_amount = sum([bt.bet.amount.amount for bt in bets_with_traces]) total_bet_profit = sum([bt.bet.profit.amount for bt in bets_with_traces]) @@ -231,7 +228,7 @@ def get_outcome_for_trace( ) overall_md += ( - f"\n\n## {agent_name}\n\n{len(simulations)} bets\n\n" + f"\n\n## {agent_name}\n\n{len(bets_with_traces)} bets\n\n" + pd.DataFrame.from_records(simulations).to_markdown(index=False) ) diff --git a/poetry.lock b/poetry.lock index 06dbf85d..753be1cc 100644 --- a/poetry.lock +++ b/poetry.lock @@ -2,113 +2,113 @@ [[package]] name = "aiohappyeyeballs" -version = "2.4.0" +version = "2.4.3" description = "Happy Eyeballs for asyncio" optional = false python-versions = ">=3.8" files = [ - {file = 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b/prediction_market_agent_tooling/markets/data_models.py index 7c219aeb..333a36e1 100644 --- a/prediction_market_agent_tooling/markets/data_models.py +++ b/prediction_market_agent_tooling/markets/data_models.py @@ -130,7 +130,7 @@ class Trade(BaseModel): class PlacedTrade(Trade): - id: str + id: str | None = None @staticmethod def from_trade(trade: Trade, id: str) -> "PlacedTrade": diff --git a/prediction_market_agent_tooling/tools/langfuse_client_utils.py b/prediction_market_agent_tooling/tools/langfuse_client_utils.py index 0f08af2d..ea2250e4 100644 --- a/prediction_market_agent_tooling/tools/langfuse_client_utils.py +++ b/prediction_market_agent_tooling/tools/langfuse_client_utils.py @@ -24,11 +24,11 @@ class ProcessMarketTrace(BaseModel): trades: list[PlacedTrade] @property - def buy_trade(self) -> PlacedTrade: - buy_trades = [t for t in self.trades if t.trade_type == TradeType.BUY] - if len(buy_trades) == 1: - return buy_trades[0] - raise ValueError("No buy trade found") + def buy_trade(self) -> PlacedTrade | None: + buy_trade = next( + iter([t for t in self.trades if t.trade_type == TradeType.BUY]), None + ) + return buy_trade @staticmethod def from_langfuse_trace( @@ -135,8 +135,10 @@ def get_trace_for_bet( traces_for_bet: list[ProcessMarketTrace] = [] for t in traces: # Cannot use exact comparison due to gas fees - if t.buy_trade.outcome == bet.outcome and np.isclose( - t.buy_trade.amount.amount, bet.amount.amount + if ( + t.buy_trade + and t.buy_trade.outcome == bet.outcome + and np.isclose(t.buy_trade.amount.amount, bet.amount.amount) ): traces_for_bet.append(t) From 752c3beff9d0c8dc388abd24fb74207cad5b8b31 Mon Sep 17 00:00:00 2001 From: evangriffiths Date: Tue, 1 Oct 2024 10:41:33 +0100 Subject: [PATCH 13/37] tidy --- .../monitor/match_bets_with_langfuse_traces.py | 14 +++++++------- 1 file changed, 7 insertions(+), 7 deletions(-) diff --git a/examples/monitor/match_bets_with_langfuse_traces.py b/examples/monitor/match_bets_with_langfuse_traces.py index fc7cbab9..2b2b8568 100644 --- a/examples/monitor/match_bets_with_langfuse_traces.py +++ b/examples/monitor/match_bets_with_langfuse_traces.py @@ -83,13 +83,13 @@ def get_outcome_for_trace( if __name__ == "__main__": # Get the private keys for the agents from GCP Secret Manager agent_gcp_secret_map = { - # "DeployablePredictionProphetGPT4TurboFinalAgent": "pma-prophetgpt4turbo-final", - # "DeployablePredictionProphetGPT4TurboPreviewAgent": "pma-prophetgpt4", - # "DeployablePredictionProphetGPT4oAgent": "pma-prophetgpt3", - # "DeployableOlasEmbeddingOAAgent": "pma-evo-olas-embeddingoa", - "DeployableThinkThoroughlyAgent": "pma-think-thoroughly", # no bets! - "DeployableThinkThoroughlyProphetResearchAgent": "pma-think-thoroughly-prophet-research", # no bets! - # "DeployableKnownOutcomeAgent": "pma-knownoutcome", + "DeployablePredictionProphetGPT4TurboFinalAgent": "pma-prophetgpt4turbo-final", + "DeployablePredictionProphetGPT4TurboPreviewAgent": "pma-prophetgpt4", + "DeployablePredictionProphetGPT4oAgent": "pma-prophetgpt3", + "DeployableOlasEmbeddingOAAgent": "pma-evo-olas-embeddingoa", + "DeployableThinkThoroughlyAgent": "pma-think-thoroughly", + "DeployableThinkThoroughlyProphetResearchAgent": "pma-think-thoroughly-prophet-research", + "DeployableKnownOutcomeAgent": "pma-knownoutcome", } agent_pkey_map = { k: get_private_key_from_gcp_secret(v) for k, v in agent_gcp_secret_map.items() From 6c67f15fe9ecb23a601bd5d1831ade4c607def65 Mon Sep 17 00:00:00 2001 From: evangriffiths Date: Tue, 1 Oct 2024 12:14:17 +0100 Subject: [PATCH 14/37] Review comment --- .../tools/langfuse_client_utils.py | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/prediction_market_agent_tooling/tools/langfuse_client_utils.py b/prediction_market_agent_tooling/tools/langfuse_client_utils.py index ea2250e4..dba37930 100644 --- a/prediction_market_agent_tooling/tools/langfuse_client_utils.py +++ b/prediction_market_agent_tooling/tools/langfuse_client_utils.py @@ -25,10 +25,10 @@ class ProcessMarketTrace(BaseModel): @property def buy_trade(self) -> PlacedTrade | None: - buy_trade = next( - iter([t for t in self.trades if t.trade_type == TradeType.BUY]), None - ) - return buy_trade + buy_trades = [t for t in self.trades if t.trade_type == TradeType.BUY] + if len(buy_trades) > 1: + raise ValueError("Unhandled logic, check it outm please!") + return buy_trades[0] if buy_trades else None @staticmethod def from_langfuse_trace( From f6a7499207120a916cecdd708950563e2518ed5f Mon Sep 17 00:00:00 2001 From: evangriffiths Date: Tue, 1 Oct 2024 13:34:30 +0100 Subject: [PATCH 15/37] Change match_bets_with_langfuse_traces.py to calculate p_yes MSE for each agent --- .../match_bets_with_langfuse_traces.py | 109 ++++-------------- 1 file changed, 21 insertions(+), 88 deletions(-) diff --git a/examples/monitor/match_bets_with_langfuse_traces.py b/examples/monitor/match_bets_with_langfuse_traces.py index 2b2b8568..4b4fd714 100644 --- a/examples/monitor/match_bets_with_langfuse_traces.py +++ b/examples/monitor/match_bets_with_langfuse_traces.py @@ -1,5 +1,4 @@ from datetime import datetime -from typing import Any import pandas as pd from langfuse import Langfuse @@ -8,10 +7,6 @@ from prediction_market_agent_tooling.config import APIKeys from prediction_market_agent_tooling.deploy.betting_strategy import ( BettingStrategy, - KellyBettingStrategy, - MaxAccuracyBettingStrategy, - MaxAccuracyWithKellyScaledBetsStrategy, - MaxExpectedValueBettingStrategy, ProbabilisticAnswer, TradeType, ) @@ -94,21 +89,6 @@ def get_outcome_for_trace( agent_pkey_map = { k: get_private_key_from_gcp_secret(v) for k, v in agent_gcp_secret_map.items() } - # Define strategies we want to test out - strategies = [ - MaxAccuracyBettingStrategy(bet_amount=1), - MaxAccuracyBettingStrategy(bet_amount=2), - MaxAccuracyBettingStrategy(bet_amount=25), - KellyBettingStrategy(max_bet_amount=1), - KellyBettingStrategy(max_bet_amount=2), - KellyBettingStrategy(max_bet_amount=25), - MaxAccuracyWithKellyScaledBetsStrategy(max_bet_amount=1), - MaxAccuracyWithKellyScaledBetsStrategy(max_bet_amount=2), - MaxAccuracyWithKellyScaledBetsStrategy(max_bet_amount=25), - MaxExpectedValueBettingStrategy(bet_amount=1), - MaxExpectedValueBettingStrategy(bet_amount=2), - MaxExpectedValueBettingStrategy(bet_amount=25), - ] overall_md = "" @@ -158,74 +138,27 @@ def get_outcome_for_trace( f"{len(bets) - len(bets_with_traces)} bets do not have a corresponding trace, ignoring them." ) - simulations: list[dict[str, Any]] = [] - details = [] - - for strategy_idx, strategy in enumerate(strategies): - # "Born" agent with initial funding, simulate as if he was doing bets one by one. - starting_balance = 50.0 - agent_balance = starting_balance - simulated_outcomes: list[SimulatedOutcome] = [] - - for bet_with_trace in bets_with_traces: - bet = bet_with_trace.bet - trace = bet_with_trace.trace - simulated_outcome = get_outcome_for_trace( - strategy=strategy, trace=trace, market_outcome=bet.market_outcome - ) - if simulated_outcome is None: - continue - simulated_outcomes.append(simulated_outcome) - agent_balance += simulated_outcome.profit - - details.append( - { - "url": trace.market.url, - "market_p_yes": round(trace.market.current_p_yes, 4), - "agent_p_yes": round(trace.answer.p_yes, 4), - "agent_conf": round(trace.answer.confidence, 4), - "org_bet": round(bet.amount.amount, 4), - "sim_bet": round(simulated_outcome.size, 4), - "org_dir": bet.outcome, - "sim_dir": simulated_outcome.direction, - "org_profit": round(bet.profit.amount, 4), - "sim_profit": round(simulated_outcome.profit, 4), - } - ) - - details.sort(key=lambda x: x["sim_profit"], reverse=True) - - total_bet_amount = sum([bt.bet.amount.amount for bt in bets_with_traces]) - total_bet_profit = sum([bt.bet.profit.amount for bt in bets_with_traces]) - total_simulated_amount = sum([so.size for so in simulated_outcomes]) - total_simulated_profit = sum([so.profit for so in simulated_outcomes]) - roi = 100 * total_bet_profit / total_bet_amount - simulated_roi = 100 * total_simulated_profit / total_simulated_amount - - # At the beginning, add also the agent's current strategy. - if strategy_idx == 0: - simulations.append( - { - "strategy": "original", - "bet_amount": total_bet_amount, - "bet_profit": total_bet_profit, - "roi": roi, - # We don't know these for the original run. - "start_balance": None, - "end_balance": None, - } - ) - - simulations.append( - { - "strategy": repr(strategy), - "bet_amount": total_simulated_amount, - "bet_profit": total_simulated_profit, - "roi": simulated_roi, - "start_balance": starting_balance, - "end_balance": agent_balance, - } - ) + sum_squared_errors = 0.0 + for bet_with_trace in bets_with_traces: + bet = bet_with_trace.bet + trace = bet_with_trace.trace + estimated_p_yes = trace.answer.p_yes + actual_answer = float(bet.market_outcome) + sum_squared_errors += (estimated_p_yes - actual_answer) ** 2 + p_yes_mse = sum_squared_errors / len(bets_with_traces) + total_bet_amount = sum([bt.bet.amount.amount for bt in bets_with_traces]) + total_bet_profit = sum([bt.bet.profit.amount for bt in bets_with_traces]) + roi = 100 * total_bet_profit / total_bet_amount + + simulations = [ + { + "strategy": "original", + "bet_amount": total_bet_amount, + "bet_profit": total_bet_profit, + "roi": roi, + "p_yes mse": p_yes_mse, + } + ] overall_md += ( f"\n\n## {agent_name}\n\n{len(bets_with_traces)} bets\n\n" From 0a01259cfabeaf57f29886c0fd00d3abfbd15228 Mon Sep 17 00:00:00 2001 From: gabrielfior Date: Tue, 1 Oct 2024 09:35:14 -0300 Subject: [PATCH 16/37] Removed dotenv --- .../match_bets_with_langfuse_traces.py | 3 - poetry.lock | 552 ++++++++++-------- 2 files changed, 296 insertions(+), 259 deletions(-) diff --git a/examples/monitor/match_bets_with_langfuse_traces.py 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.../match_bets_with_langfuse_traces.py | 146 +++++++++++++++--- 1 file changed, 125 insertions(+), 21 deletions(-) diff --git a/examples/monitor/match_bets_with_langfuse_traces.py b/examples/monitor/match_bets_with_langfuse_traces.py index 4b4fd714..65da4b0b 100644 --- a/examples/monitor/match_bets_with_langfuse_traces.py +++ b/examples/monitor/match_bets_with_langfuse_traces.py @@ -1,4 +1,5 @@ from datetime import datetime +from typing import Any import pandas as pd from langfuse import Langfuse @@ -7,6 +8,8 @@ from prediction_market_agent_tooling.config import APIKeys from prediction_market_agent_tooling.deploy.betting_strategy import ( BettingStrategy, + KellyBettingStrategy, + MaxAccuracyBettingStrategy, ProbabilisticAnswer, TradeType, ) @@ -28,6 +31,11 @@ class SimulatedOutcome(BaseModel): profit: float +class MSEProfit(BaseModel): + p_yes_mse: list[float] + total_profit: list[float] + + def get_outcome_for_trace( strategy: BettingStrategy, trace: ProcessMarketTrace, @@ -90,8 +98,32 @@ def get_outcome_for_trace( k: get_private_key_from_gcp_secret(v) for k, v in agent_gcp_secret_map.items() } + # Define strategies we want to test out + strategies = [ + MaxAccuracyBettingStrategy(bet_amount=1), + MaxAccuracyBettingStrategy(bet_amount=2), + MaxAccuracyBettingStrategy(bet_amount=5), + MaxAccuracyBettingStrategy(bet_amount=25), + KellyBettingStrategy(max_bet_amount=1), + KellyBettingStrategy(max_bet_amount=2), + KellyBettingStrategy(max_bet_amount=5), + KellyBettingStrategy(max_bet_amount=25), + # MaxAccuracyWithKellyScaledBetsStrategy(max_bet_amount=1), + # MaxAccuracyWithKellyScaledBetsStrategy(max_bet_amount=2), + # MaxAccuracyWithKellyScaledBetsStrategy(max_bet_amount=5), + # MaxAccuracyWithKellyScaledBetsStrategy(max_bet_amount=25), + # MaxExpectedValueBettingStrategy(bet_amount=1), + # MaxExpectedValueBettingStrategy(bet_amount=2), + # MaxExpectedValueBettingStrategy(bet_amount=5), + # MaxExpectedValueBettingStrategy(bet_amount=25), + ] + overall_md = "" + strat_mse_profits: dict[str, MSEProfit] = {} + for strategy in strategies: + strat_mse_profits[repr(strategy)] = MSEProfit(p_yes_mse=[], total_profit=[]) + print("# Agent Bet vs Simulated Bet Comparison") for agent_name, private_key in agent_pkey_map.items(): print(f"\n## {agent_name}\n") @@ -138,32 +170,104 @@ def get_outcome_for_trace( f"{len(bets) - len(bets_with_traces)} bets do not have a corresponding trace, ignoring them." ) - sum_squared_errors = 0.0 - for bet_with_trace in bets_with_traces: - bet = bet_with_trace.bet - trace = bet_with_trace.trace - estimated_p_yes = trace.answer.p_yes - actual_answer = float(bet.market_outcome) - sum_squared_errors += (estimated_p_yes - actual_answer) ** 2 - p_yes_mse = sum_squared_errors / len(bets_with_traces) - total_bet_amount = sum([bt.bet.amount.amount for bt in bets_with_traces]) - total_bet_profit = sum([bt.bet.profit.amount for bt in bets_with_traces]) - roi = 100 * total_bet_profit / total_bet_amount - - simulations = [ - { - "strategy": "original", - "bet_amount": total_bet_amount, - "bet_profit": total_bet_profit, - "roi": roi, - "p_yes mse": p_yes_mse, - } - ] + simulations: list[dict[str, Any]] = [] + details = [] + + for strategy_idx, strategy in enumerate(strategies): + # "Born" agent with initial funding, simulate as if he was doing bets one by one. + starting_balance = 50.0 + agent_balance = starting_balance + simulated_outcomes: list[SimulatedOutcome] = [] + + for bet_with_trace in bets_with_traces: + bet = bet_with_trace.bet + trace = bet_with_trace.trace + simulated_outcome = get_outcome_for_trace( + strategy=strategy, trace=trace, market_outcome=bet.market_outcome + ) + if simulated_outcome is None: + continue + simulated_outcomes.append(simulated_outcome) + agent_balance += simulated_outcome.profit + + details.append( + { + "url": trace.market.url, + "market_p_yes": round(trace.market.current_p_yes, 4), + "agent_p_yes": round(trace.answer.p_yes, 4), + "agent_conf": round(trace.answer.confidence, 4), + "org_bet": round(bet.amount.amount, 4), + "sim_bet": round(simulated_outcome.size, 4), + "org_dir": bet.outcome, + "sim_dir": simulated_outcome.direction, + "org_profit": round(bet.profit.amount, 4), + "sim_profit": round(simulated_outcome.profit, 4), + } + ) + + details.sort(key=lambda x: x["sim_profit"], reverse=True) + pd.DataFrame.from_records(details).to_csv( + f"{agent_name} - {strategy} - all bets.csv", index=False + ) + + sum_squared_errors = 0.0 + for bet_with_trace in bets_with_traces: + bet = bet_with_trace.bet + trace = bet_with_trace.trace + estimated_p_yes = trace.answer.p_yes + actual_answer = float(bet.market_outcome) + sum_squared_errors += (estimated_p_yes - actual_answer) ** 2 + p_yes_mse = sum_squared_errors / len(bets_with_traces) + total_bet_amount = sum([bt.bet.amount.amount for bt in bets_with_traces]) + total_bet_profit = sum([bt.bet.profit.amount for bt in bets_with_traces]) + total_simulated_amount = sum([so.size for so in simulated_outcomes]) + total_simulated_profit = sum([so.profit for so in simulated_outcomes]) + roi = 100 * total_bet_profit / total_bet_amount + simulated_roi = 100 * total_simulated_profit / total_simulated_amount + + # At the beginning, add also the agent's current strategy. + if strategy_idx == 0: + simulations.append( + { + "strategy": "original", + "bet_amount": total_bet_amount, + "bet_profit": total_bet_profit, + "roi": roi, + "p_yes mse": p_yes_mse, + # We don't know these for the original run. + "start_balance": None, + "end_balance": None, + } + ) + else: + strat_mse_profits[repr(strategy)].p_yes_mse.append(p_yes_mse) + strat_mse_profits[repr(strategy)].total_profit.append( + total_simulated_profit + ) + + simulations.append( + { + "strategy": repr(strategy), + "bet_amount": total_simulated_amount, + "bet_profit": total_simulated_profit, + "roi": simulated_roi, + "p_yes mse": p_yes_mse, + "start_balance": starting_balance, + "end_balance": agent_balance, + } + ) overall_md += ( f"\n\n## {agent_name}\n\n{len(bets_with_traces)} bets\n\n" + pd.DataFrame.from_records(simulations).to_markdown(index=False) ) + print(f"Correlation between p_yes mse and total profit:") + for strategy, mse_profit in strat_mse_profits.items(): + mse = mse_profit.p_yes_mse + profit = mse_profit.total_profit + correlation = pd.Series(mse).corr(pd.Series(profit)) + print(f"{strategy}: {correlation=}") + with open("match_bets_with_langfuse_traces_overall.md", "w") as overall_f: overall_f.write(overall_md) From 4b1a6d25085c71b33c69666f78077b462b32ee33 Mon Sep 17 00:00:00 2001 From: gabrielfior Date: Tue, 1 Oct 2024 14:28:25 -0300 Subject: [PATCH 18/37] Sorting output file --- .../match_bets_with_langfuse_traces.py | 8 +++- poetry.lock | 48 +++++++++++++++---- 2 files changed, 47 insertions(+), 9 deletions(-) diff --git a/examples/monitor/match_bets_with_langfuse_traces.py b/examples/monitor/match_bets_with_langfuse_traces.py index 026e7037..2b2365cb 100644 --- a/examples/monitor/match_bets_with_langfuse_traces.py +++ b/examples/monitor/match_bets_with_langfuse_traces.py @@ -106,12 +106,14 @@ def get_outcome_for_trace( # MaxAccuracyBettingStrategy(bet_amount=25), KellyBettingStrategy(max_bet_amount=1), KellyBettingStrategy(max_bet_amount=2), + KellyBettingStrategy(max_bet_amount=5), KellyBettingStrategy(max_bet_amount=25), # MaxAccuracyWithKellyScaledBetsStrategy(max_bet_amount=1), MaxAccuracyWithKellyScaledBetsStrategy(max_bet_amount=2), # MaxAccuracyWithKellyScaledBetsStrategy(max_bet_amount=25), MaxExpectedValueBettingStrategy(bet_amount=1), MaxExpectedValueBettingStrategy(bet_amount=2), + MaxExpectedValueBettingStrategy(bet_amount=5), # MaxExpectedValueBettingStrategy(bet_amount=25), KellyBettingStrategy(max_bet_amount=2, max_slippage=0.01), KellyBettingStrategy(max_bet_amount=2, max_slippage=0.05), @@ -261,10 +263,14 @@ def get_outcome_for_trace( } ) + simulations_df = pd.DataFrame.from_records(simulations) + simulations_df.sort_values(by="bet_profit", ascending=False, inplace=True) overall_md += ( f"\n\n## {agent_name}\n\n{len(bets_with_traces)} bets\n\n" - + pd.DataFrame.from_records(simulations).to_markdown(index=False) + + simulations_df.to_markdown(index=False) ) + # export details per agent + pd.DataFrame.from_records(details).to_csv(f"{agent_name}_details.csv") with open("match_bets_with_langfuse_traces_overall.md", "w") as overall_f: overall_f.write(overall_md) diff --git a/poetry.lock b/poetry.lock index 753be1cc..ef9767fb 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand. 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prediction_market_agent_tooling/deploy/betting_strategy.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/prediction_market_agent_tooling/deploy/betting_strategy.py b/prediction_market_agent_tooling/deploy/betting_strategy.py index 828ac43f..0e82d526 100644 --- a/prediction_market_agent_tooling/deploy/betting_strategy.py +++ b/prediction_market_agent_tooling/deploy/betting_strategy.py @@ -263,7 +263,7 @@ def calculate_price_impact_deviation_from_target_price_impact(b: xDai) -> float: return optimized_bet_amount.x def __repr__(self) -> str: - return f"{self.__class__.__name__}(max_bet_amount={self.max_bet_amount})(max_price_impact={self.max_price_impact})" + return f"{self.__class__.__name__}(max_bet_amount={self.max_bet_amount}, max_price_impact={self.max_price_impact})" class MaxAccuracyWithKellyScaledBetsStrategy(BettingStrategy): From 5ba66b54207dd7fee708f1d90d5ca09025fd1a94 Mon Sep 17 00:00:00 2001 From: Gabriel Fior Date: Tue, 1 Oct 2024 15:15:20 -0300 Subject: [PATCH 20/37] Update prediction_market_agent_tooling/deploy/betting_strategy.py Co-authored-by: Peter Jung --- prediction_market_agent_tooling/deploy/betting_strategy.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/prediction_market_agent_tooling/deploy/betting_strategy.py b/prediction_market_agent_tooling/deploy/betting_strategy.py index 0e82d526..6630a5fc 100644 --- a/prediction_market_agent_tooling/deploy/betting_strategy.py +++ b/prediction_market_agent_tooling/deploy/betting_strategy.py @@ -226,7 +226,7 @@ def calculate_slippage_for_bet_amount( no / total_outcome_tokens if buy_direction else yes / total_outcome_tokens ) - tokens_bought = get_buy_outcome_token_amount( + tokens_to_buy = get_buy_outcome_token_amount( bet_amount, buy_direction, yes, no, fee ) From ba2afcd820efb532a6e8331c18e3235101d0954e Mon Sep 17 00:00:00 2001 From: gabrielfior Date: Tue, 1 Oct 2024 16:36:14 -0300 Subject: [PATCH 21/37] Avoided price_impact warnings --- .../match_bets_with_langfuse_traces.py | 65 ++++++++++--------- .../deploy/betting_strategy.py | 36 +++++----- scripts/calc_slippage.py | 18 ----- tests/markets/omen/test_kelly.py | 36 +++++----- 4 files changed, 70 insertions(+), 85 deletions(-) delete mode 100644 scripts/calc_slippage.py diff --git a/examples/monitor/match_bets_with_langfuse_traces.py b/examples/monitor/match_bets_with_langfuse_traces.py index 124041d2..97d667b6 100644 --- a/examples/monitor/match_bets_with_langfuse_traces.py +++ b/examples/monitor/match_bets_with_langfuse_traces.py @@ -1,6 +1,9 @@ from datetime import datetime from typing import Any +from dotenv import load_dotenv + +load_dotenv() import hishel import pandas as pd from langfuse import Langfuse @@ -9,14 +12,12 @@ from prediction_market_agent_tooling.config import APIKeys from prediction_market_agent_tooling.deploy.betting_strategy import ( BettingStrategy, + KellyBettingStrategy, ProbabilisticAnswer, TradeType, - KellyBettingStrategy, MaxAccuracyBettingStrategy, MaxAccuracyWithKellyScaledBetsStrategy, MaxExpectedValueBettingStrategy, - ProbabilisticAnswer, - TradeType, ) from prediction_market_agent_tooling.markets.data_models import ResolvedBet from prediction_market_agent_tooling.markets.omen.omen import OmenAgentMarket @@ -108,44 +109,44 @@ def get_outcome_for_trace( # Define strategies we want to test out strategies = [ - # MaxAccuracyBettingStrategy(bet_amount=1), + MaxAccuracyBettingStrategy(bet_amount=1), MaxAccuracyBettingStrategy(bet_amount=2), - # MaxAccuracyBettingStrategy(bet_amount=25), + MaxAccuracyBettingStrategy(bet_amount=25), KellyBettingStrategy(max_bet_amount=1), KellyBettingStrategy(max_bet_amount=2), KellyBettingStrategy(max_bet_amount=5), KellyBettingStrategy(max_bet_amount=25), - # MaxAccuracyWithKellyScaledBetsStrategy(max_bet_amount=1), + MaxAccuracyWithKellyScaledBetsStrategy(max_bet_amount=1), MaxAccuracyWithKellyScaledBetsStrategy(max_bet_amount=2), - # MaxAccuracyWithKellyScaledBetsStrategy(max_bet_amount=25), + MaxAccuracyWithKellyScaledBetsStrategy(max_bet_amount=25), MaxExpectedValueBettingStrategy(bet_amount=1), MaxExpectedValueBettingStrategy(bet_amount=2), MaxExpectedValueBettingStrategy(bet_amount=5), - # MaxExpectedValueBettingStrategy(bet_amount=25), - KellyBettingStrategy(max_bet_amount=2, max_slippage=0.01), - KellyBettingStrategy(max_bet_amount=2, max_slippage=0.05), - KellyBettingStrategy(max_bet_amount=2, max_slippage=0.1), - KellyBettingStrategy(max_bet_amount=2, max_slippage=0.15), - KellyBettingStrategy(max_bet_amount=2, max_slippage=0.2), - KellyBettingStrategy(max_bet_amount=2, max_slippage=0.25), - KellyBettingStrategy(max_bet_amount=2, max_slippage=0.3), - KellyBettingStrategy(max_bet_amount=2, max_slippage=0.4), - KellyBettingStrategy(max_bet_amount=2, max_slippage=0.5), - KellyBettingStrategy(max_bet_amount=2, max_slippage=0.6), - KellyBettingStrategy(max_bet_amount=2, max_slippage=0.7), - KellyBettingStrategy(max_bet_amount=5, max_slippage=0.1), - KellyBettingStrategy(max_bet_amount=5, max_slippage=0.15), - KellyBettingStrategy(max_bet_amount=5, max_slippage=0.2), - KellyBettingStrategy(max_bet_amount=5, max_slippage=0.3), - KellyBettingStrategy(max_bet_amount=5, max_slippage=0.4), - KellyBettingStrategy(max_bet_amount=5, max_slippage=0.5), - KellyBettingStrategy(max_bet_amount=5, max_slippage=0.6), - KellyBettingStrategy(max_bet_amount=5, max_slippage=0.7), - KellyBettingStrategy(max_bet_amount=25, max_slippage=0.1), - KellyBettingStrategy(max_bet_amount=25, max_slippage=0.2), - KellyBettingStrategy(max_bet_amount=25, max_slippage=0.3), - KellyBettingStrategy(max_bet_amount=25, max_slippage=0.5), - KellyBettingStrategy(max_bet_amount=25, max_slippage=0.7), + MaxExpectedValueBettingStrategy(bet_amount=25), + KellyBettingStrategy(max_bet_amount=2, max_price_impact=0.01), + KellyBettingStrategy(max_bet_amount=2, max_price_impact=0.05), + KellyBettingStrategy(max_bet_amount=2, max_price_impact=0.1), + KellyBettingStrategy(max_bet_amount=2, max_price_impact=0.15), + KellyBettingStrategy(max_bet_amount=2, max_price_impact=0.2), + KellyBettingStrategy(max_bet_amount=2, max_price_impact=0.25), + KellyBettingStrategy(max_bet_amount=2, max_price_impact=0.3), + KellyBettingStrategy(max_bet_amount=2, max_price_impact=0.4), + KellyBettingStrategy(max_bet_amount=2, max_price_impact=0.5), + KellyBettingStrategy(max_bet_amount=2, max_price_impact=0.6), + KellyBettingStrategy(max_bet_amount=2, max_price_impact=0.7), + KellyBettingStrategy(max_bet_amount=5, max_price_impact=0.1), + KellyBettingStrategy(max_bet_amount=5, max_price_impact=0.15), + KellyBettingStrategy(max_bet_amount=5, max_price_impact=0.2), + KellyBettingStrategy(max_bet_amount=5, max_price_impact=0.3), + KellyBettingStrategy(max_bet_amount=5, max_price_impact=0.4), + KellyBettingStrategy(max_bet_amount=5, max_price_impact=0.5), + KellyBettingStrategy(max_bet_amount=5, max_price_impact=0.6), + KellyBettingStrategy(max_bet_amount=5, max_price_impact=0.7), + KellyBettingStrategy(max_bet_amount=25, max_price_impact=0.1), + KellyBettingStrategy(max_bet_amount=25, max_price_impact=0.2), + KellyBettingStrategy(max_bet_amount=25, max_price_impact=0.3), + KellyBettingStrategy(max_bet_amount=25, max_price_impact=0.5), + KellyBettingStrategy(max_bet_amount=25, max_price_impact=0.7), ] storage = hishel.FileStorage(ttl=3600) diff --git a/prediction_market_agent_tooling/deploy/betting_strategy.py b/prediction_market_agent_tooling/deploy/betting_strategy.py index 6630a5fc..cea8f06a 100644 --- a/prediction_market_agent_tooling/deploy/betting_strategy.py +++ b/prediction_market_agent_tooling/deploy/betting_strategy.py @@ -143,14 +143,14 @@ def calculate_direction(market_p_yes: float, estimate_p_yes: float) -> bool: class KellyBettingStrategy(BettingStrategy): - def __init__(self, max_bet_amount: float, max_slippage: float | None = None): + def __init__(self, max_bet_amount: float, max_price_impact: float | None = None): self.max_bet_amount = max_bet_amount - self.max_price_impact = max_slippage + self.max_price_impact = max_price_impact def _check_price_impact_ok_else_log( self, buy_direction: bool, bet_size: float, market: AgentMarket ) -> None: - slippage = self.calculate_slippage_for_bet_amount( + price_impact = self.calculate_price_impact_for_bet_amount( buy_direction, bet_size, market.outcome_token_pool["Yes"], @@ -158,11 +158,11 @@ def _check_price_impact_ok_else_log( 0, ) - if slippage > self.max_price_impact and not np.isclose( - slippage, self.max_price_impact, self.max_price_impact / 100 + if price_impact > self.max_price_impact and not np.isclose( + price_impact, self.max_price_impact, atol=self.max_price_impact * 0.01 ): logger.info( - f"Slippage {slippage} deviates too much from self.max_slippage {self.max_price_impact}, market_id {market.id}" + f"Price impact {price_impact} deviates too much from self.max_price_impact {self.max_price_impact}, market_id {market.id}" ) def calculate_trades( @@ -218,7 +218,7 @@ def calculate_trades( ) return trades - def calculate_slippage_for_bet_amount( + def calculate_price_impact_for_bet_amount( self, buy_direction: bool, bet_amount: float, yes: float, no: float, fee: float ) -> float: total_outcome_tokens = yes + no @@ -230,21 +230,20 @@ def calculate_slippage_for_bet_amount( bet_amount, buy_direction, yes, no, fee ) - actual_price = bet_amount / tokens_bought - # Slippage should be > 0 if we paid more than expected_price, and - # < 0 if we paid less than expected_price. - slippage = (actual_price - expected_price) / expected_price - return slippage + actual_price = bet_amount / tokens_to_buy + # price_impact should always be > 0 + price_impact = (actual_price - expected_price) / expected_price + return price_impact def calculate_bet_amount_for_price_impact( self, market: AgentMarket, kelly_bet: SimpleBet, fee: float ) -> float: def calculate_price_impact_deviation_from_target_price_impact(b: xDai) -> float: - actual_slippage = self.calculate_slippage_for_bet_amount( + price_impact = self.calculate_price_impact_for_bet_amount( kelly_bet.direction, b, yes_outcome_pool_size, no_outcome_pool_size, fee ) - # translate in y - return abs(actual_slippage - self.max_price_impact) + # We return abs for the algorithm to converge to 0 instead of the min (and possibly negative) value. + return abs(price_impact - self.max_price_impact) yes_outcome_pool_size = market.outcome_token_pool[ market.get_outcome_str_from_bool(True) @@ -255,9 +254,9 @@ def calculate_price_impact_deviation_from_target_price_impact(b: xDai) -> float: optimized_bet_amount = minimize_scalar( calculate_price_impact_deviation_from_target_price_impact, - bounds=(min(yes_outcome_pool_size, no_outcome_pool_size) / 10, 1000), + bounds=(min(yes_outcome_pool_size, no_outcome_pool_size) / 1000, 1000), method="bounded", - tol=1e-7, + tol=1e-11, options={"maxiter": 10000}, ) return optimized_bet_amount.x @@ -267,9 +266,8 @@ def __repr__(self) -> str: class MaxAccuracyWithKellyScaledBetsStrategy(BettingStrategy): - def __init__(self, max_bet_amount: float = 10, max_slippage: float | None = None): + def __init__(self, max_bet_amount: float = 10): self.max_bet_amount = max_bet_amount - self.max_slippage = max_slippage def adjust_bet_amount( self, existing_position: Position | None, market: AgentMarket diff --git a/scripts/calc_slippage.py b/scripts/calc_slippage.py deleted file mode 100644 index ebce0e9e..00000000 --- a/scripts/calc_slippage.py +++ /dev/null @@ -1,18 +0,0 @@ -r_a = 10 -r_b = 10 -p_a = r_b / (r_a + r_b) -# alice buys YES (n_a) with b=10 -X = 10 -n_a = X * (r_a + r_b) / (2 * r_b) -n_b = X * (r_a + r_b) / (2 * r_a) -n_swap = r_a - ((r_a * r_b) / (r_b + ((X * (r_b + r_a)) / (2 * r_a)))) -n_r = n_a + n_swap - -p_a_new = X / n_r -slippage = (p_a_new - p_a) / p_a -print(f" p_a {p_a} n_swap {n_swap} p_a_new {p_a_new} slippage {slippage}") - -# slippage = 0.3333 -s = 1 / 5 -bet_amount = p_a * (s + 1) * n_r -print(f"bet_amount {bet_amount}") diff --git a/tests/markets/omen/test_kelly.py b/tests/markets/omen/test_kelly.py index f36b7565..c3a7bec6 100644 --- a/tests/markets/omen/test_kelly.py +++ b/tests/markets/omen/test_kelly.py @@ -5,42 +5,46 @@ def test_kelly_slippage_calculation1() -> None: # First case from https://docs.gnosis.io/conditionaltokens/docs/introduction3/#an-example-with-cpmm - kelly = KellyBettingStrategy(max_bet_amount=1, max_slippage=0.5) + kelly = KellyBettingStrategy(max_bet_amount=1, max_price_impact=0.5) yes = 10 no = 10 bet_amount = 10 buy_direction = True - assert_slip_ok(bet_amount, buy_direction, yes, no, kelly) + assert_price_impact(bet_amount, buy_direction, yes, no, kelly) def test_kelly_slippage_calculation2() -> None: - kelly = KellyBettingStrategy(max_bet_amount=1, max_slippage=0.5) + kelly = KellyBettingStrategy(max_bet_amount=1, max_price_impact=0.5) # after first bet 10 xDAI on Yes, new yes/no yes = 5 no = 20 bet_amount = 10 buy_direction = False - assert_slip_ok(bet_amount, buy_direction, yes, no, kelly) + assert_price_impact(bet_amount, buy_direction, yes, no, kelly) -def assert_slip_ok( +def assert_price_impact( bet_amount: float, buy_direction: bool, yes: float, no: float, kelly: KellyBettingStrategy, ): - # expect - expected_price = yes / (yes + no) # p_yes - tokens_bought = (no + bet_amount) - ( - (yes * no) / (yes + bet_amount) - ) # 23.333 # x*y = k - actual_price = bet_amount / tokens_bought - expected_slip = (actual_price - expected_price) / expected_price - #### - slip = kelly.calculate_slippage_for_bet_amount( + price_impact = kelly.calculate_price_impact_for_bet_amount( buy_direction, bet_amount=bet_amount, yes=yes, no=no, fee=0 ) - assert np.isclose(slip, expected_slip, rtol=0.01) - print(slip) + # Calculation is done assuming buy_direction is True. Else, we invert the reserves. + if not buy_direction: + yes, no = no, yes + + expected_price_yes = no / (yes + no) + k = yes * no + tokens_bought_yes = (yes + bet_amount) - (k / (no + bet_amount)) # 23.333 # x*y = k + actual_price_yes = bet_amount / tokens_bought_yes + expected_price_impact = (actual_price_yes - expected_price_yes) / expected_price_yes + #### + + assert np.isclose(price_impact, expected_price_impact, rtol=0.01) + + print(price_impact) From dabcc23932bf4f7eeec0943328edd128347f7357 Mon Sep 17 00:00:00 2001 From: Gabriel Fior Date: Tue, 1 Oct 2024 16:36:55 -0300 Subject: [PATCH 22/37] Update prediction_market_agent_tooling/deploy/betting_strategy.py Co-authored-by: Peter Jung --- prediction_market_agent_tooling/deploy/betting_strategy.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/prediction_market_agent_tooling/deploy/betting_strategy.py b/prediction_market_agent_tooling/deploy/betting_strategy.py index cea8f06a..ba565ea4 100644 --- a/prediction_market_agent_tooling/deploy/betting_strategy.py +++ b/prediction_market_agent_tooling/deploy/betting_strategy.py @@ -1,7 +1,7 @@ from abc import ABC, abstractmethod import numpy as np -from loguru import logger +from prediction_market_agent_tooling.loggers import logger from scipy.optimize import minimize_scalar from prediction_market_agent_tooling.gtypes import xDai From 1a3f3626802ee4d464a8c2fe4d1dad858286e04a Mon Sep 17 00:00:00 2001 From: gabrielfior Date: Tue, 1 Oct 2024 16:42:33 -0300 Subject: [PATCH 23/37] Removed load_dotenv --- examples/monitor/httpx_cached_client.py | 11 +++++++++++ examples/monitor/match_bets_with_langfuse_traces.py | 9 ++------- 2 files changed, 13 insertions(+), 7 deletions(-) create mode 100644 examples/monitor/httpx_cached_client.py diff --git a/examples/monitor/httpx_cached_client.py b/examples/monitor/httpx_cached_client.py new file mode 100644 index 00000000..2ce2985e --- /dev/null +++ b/examples/monitor/httpx_cached_client.py @@ -0,0 +1,11 @@ +import hishel + + +class HttpxCachedClient: + def __init__(self): + storage = hishel.FileStorage(ttl=3600, check_ttl_every=600) + controller = hishel.Controller(force_cache=True) + self.client = hishel.CacheClient(storage=storage, controller=controller) + + def get_client(self): + return self.client diff --git a/examples/monitor/match_bets_with_langfuse_traces.py b/examples/monitor/match_bets_with_langfuse_traces.py index 97d667b6..bfee5f16 100644 --- a/examples/monitor/match_bets_with_langfuse_traces.py +++ b/examples/monitor/match_bets_with_langfuse_traces.py @@ -1,14 +1,11 @@ from datetime import datetime from typing import Any -from dotenv import load_dotenv - -load_dotenv() -import hishel import pandas as pd from langfuse import Langfuse from pydantic import BaseModel +from examples.monitor.httpx_cached_client import HttpxCachedClient from prediction_market_agent_tooling.config import APIKeys from prediction_market_agent_tooling.deploy.betting_strategy import ( BettingStrategy, @@ -149,9 +146,7 @@ def get_outcome_for_trace( KellyBettingStrategy(max_bet_amount=25, max_price_impact=0.7), ] - storage = hishel.FileStorage(ttl=3600) - controller = hishel.Controller(force_cache=True) - httpx_client = hishel.CacheClient(storage=storage, controller=controller) + httpx_client = HttpxCachedClient().get_client() overall_md = "" From 5e04adf083aa483c200169b9cca0ff48345f349c Mon Sep 17 00:00:00 2001 From: gabrielfior Date: Tue, 1 Oct 2024 16:50:56 -0300 Subject: [PATCH 24/37] Tidy --- .../deploy/betting_strategy.py | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/prediction_market_agent_tooling/deploy/betting_strategy.py b/prediction_market_agent_tooling/deploy/betting_strategy.py index ba565ea4..f920ed00 100644 --- a/prediction_market_agent_tooling/deploy/betting_strategy.py +++ b/prediction_market_agent_tooling/deploy/betting_strategy.py @@ -1,7 +1,6 @@ from abc import ABC, abstractmethod import numpy as np -from prediction_market_agent_tooling.loggers import logger from scipy.optimize import minimize_scalar from prediction_market_agent_tooling.gtypes import xDai @@ -147,9 +146,10 @@ def __init__(self, max_bet_amount: float, max_price_impact: float | None = None) self.max_bet_amount = max_bet_amount self.max_price_impact = max_price_impact - def _check_price_impact_ok_else_log( + def assert_price_impact_lt_max_price_impact_else_raise( self, buy_direction: bool, bet_size: float, market: AgentMarket ) -> None: + """Bet size cannot be larger than max_price_impact""" price_impact = self.calculate_price_impact_for_bet_amount( buy_direction, bet_size, @@ -161,7 +161,7 @@ def _check_price_impact_ok_else_log( if price_impact > self.max_price_impact and not np.isclose( price_impact, self.max_price_impact, atol=self.max_price_impact * 0.01 ): - logger.info( + raise ValueError( f"Price impact {price_impact} deviates too much from self.max_price_impact {self.max_price_impact}, market_id {market.id}" ) @@ -203,7 +203,7 @@ def calculate_trades( # We just don't want Kelly size to extrapolate price_impact - hence we take the min. kelly_bet_size = min(kelly_bet.size, max_slippage_bet_amount) - self._check_price_impact_ok_else_log( + self.assert_price_impact_lt_max_price_impact_else_raise( kelly_bet.direction, kelly_bet_size, market ) From 3ccb430a008851903ea26713950950c2541c6732 Mon Sep 17 00:00:00 2001 From: Gabriel Fior Date: Wed, 2 Oct 2024 11:03:44 -0300 Subject: [PATCH 25/37] Update .env.example Co-authored-by: Peter Jung --- .env.example | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/.env.example b/.env.example index 3397bce8..63365c39 100644 --- a/.env.example +++ b/.env.example @@ -1,5 +1,4 @@ MANIFOLD_API_KEY= BET_FROM_PRIVATE_KEY= OPENAI_API_KEY= -GRAPH_API_KEY= -GOOGLE_APPLICATION_CREDENTIALS= #for loading secrets from GCP \ No newline at end of file +GRAPH_API_KEY= \ No newline at end of file From b7cd2158a51ebecec91311d6175acabb1adbcab4 Mon Sep 17 00:00:00 2001 From: gabrielfior Date: Wed, 2 Oct 2024 11:53:36 -0300 Subject: [PATCH 26/37] Implemented PR comments --- .../match_bets_with_langfuse_traces.py | 2 +- .../deploy/betting_strategy.py | 33 ++++++++++++++----- .../tools}/httpx_cached_client.py | 0 3 files changed, 26 insertions(+), 9 deletions(-) rename {examples/monitor => prediction_market_agent_tooling/tools}/httpx_cached_client.py (100%) diff --git a/examples/monitor/match_bets_with_langfuse_traces.py b/examples/monitor/match_bets_with_langfuse_traces.py index bfee5f16..8c23b57d 100644 --- a/examples/monitor/match_bets_with_langfuse_traces.py +++ b/examples/monitor/match_bets_with_langfuse_traces.py @@ -5,7 +5,6 @@ from langfuse import Langfuse from pydantic import BaseModel -from examples.monitor.httpx_cached_client import HttpxCachedClient from prediction_market_agent_tooling.config import APIKeys from prediction_market_agent_tooling.deploy.betting_strategy import ( BettingStrategy, @@ -18,6 +17,7 @@ ) from prediction_market_agent_tooling.markets.data_models import ResolvedBet from prediction_market_agent_tooling.markets.omen.omen import OmenAgentMarket +from prediction_market_agent_tooling.tools.httpx_cached_client import HttpxCachedClient from prediction_market_agent_tooling.tools.langfuse_client_utils import ( ProcessMarketTrace, ResolvedBetWithTrace, diff --git a/prediction_market_agent_tooling/deploy/betting_strategy.py b/prediction_market_agent_tooling/deploy/betting_strategy.py index f920ed00..daf53656 100644 --- a/prediction_market_agent_tooling/deploy/betting_strategy.py +++ b/prediction_market_agent_tooling/deploy/betting_strategy.py @@ -235,16 +235,27 @@ def calculate_price_impact_for_bet_amount( price_impact = (actual_price - expected_price) / expected_price return price_impact + def calculate_price_impact_deviation_from_target_price_impact( + self, + bet_amount: xDai, + kelly_bet_direction: bool, + yes_outcome_pool_size: float, + no_outcome_pool_size: float, + fee: float, + ) -> float: + price_impact = self.calculate_price_impact_for_bet_amount( + kelly_bet_direction, + bet_amount, + yes_outcome_pool_size, + no_outcome_pool_size, + fee, + ) + # We return abs for the algorithm to converge to 0 instead of the min (and possibly negative) value. + return abs(price_impact - self.max_price_impact) + def calculate_bet_amount_for_price_impact( self, market: AgentMarket, kelly_bet: SimpleBet, fee: float ) -> float: - def calculate_price_impact_deviation_from_target_price_impact(b: xDai) -> float: - price_impact = self.calculate_price_impact_for_bet_amount( - kelly_bet.direction, b, yes_outcome_pool_size, no_outcome_pool_size, fee - ) - # We return abs for the algorithm to converge to 0 instead of the min (and possibly negative) value. - return abs(price_impact - self.max_price_impact) - yes_outcome_pool_size = market.outcome_token_pool[ market.get_outcome_str_from_bool(True) ] @@ -253,7 +264,13 @@ def calculate_price_impact_deviation_from_target_price_impact(b: xDai) -> float: ] optimized_bet_amount = minimize_scalar( - calculate_price_impact_deviation_from_target_price_impact, + lambda bet_amount: self.calculate_price_impact_deviation_from_target_price_impact( + bet_amount, + kelly_bet.direction, + yes_outcome_pool_size, + no_outcome_pool_size, + fee, + ), bounds=(min(yes_outcome_pool_size, no_outcome_pool_size) / 1000, 1000), method="bounded", tol=1e-11, diff --git a/examples/monitor/httpx_cached_client.py b/prediction_market_agent_tooling/tools/httpx_cached_client.py similarity index 100% rename from examples/monitor/httpx_cached_client.py rename to prediction_market_agent_tooling/tools/httpx_cached_client.py From 321cff8d6c2da2de7e4779e937928b3265afc147 Mon Sep 17 00:00:00 2001 From: gabrielfior Date: Wed, 2 Oct 2024 11:59:28 -0300 Subject: [PATCH 27/37] Switched back betting strategy to agreed upon impl --- .../deploy/betting_strategy.py | 30 +++++++++---------- 1 file changed, 15 insertions(+), 15 deletions(-) diff --git a/prediction_market_agent_tooling/deploy/betting_strategy.py b/prediction_market_agent_tooling/deploy/betting_strategy.py index daf53656..8857de59 100644 --- a/prediction_market_agent_tooling/deploy/betting_strategy.py +++ b/prediction_market_agent_tooling/deploy/betting_strategy.py @@ -235,14 +235,7 @@ def calculate_price_impact_for_bet_amount( price_impact = (actual_price - expected_price) / expected_price return price_impact - def calculate_price_impact_deviation_from_target_price_impact( - self, - bet_amount: xDai, - kelly_bet_direction: bool, - yes_outcome_pool_size: float, - no_outcome_pool_size: float, - fee: float, - ) -> float: + def calculate_price_impact_deviation_from_target_price_impact(b: xDai) -> float: price_impact = self.calculate_price_impact_for_bet_amount( kelly_bet_direction, bet_amount, @@ -256,6 +249,19 @@ def calculate_price_impact_deviation_from_target_price_impact( def calculate_bet_amount_for_price_impact( self, market: AgentMarket, kelly_bet: SimpleBet, fee: float ) -> float: + def calculate_price_impact_deviation_from_target_price_impact( + bet_amount: xDai, + ) -> float: + price_impact = self.calculate_price_impact_for_bet_amount( + kelly_bet.direction, + bet_amount, + yes_outcome_pool_size, + no_outcome_pool_size, + fee, + ) + # We return abs for the algorithm to converge to 0 instead of the min (and possibly negative) value. + return abs(price_impact - self.max_price_impact) + yes_outcome_pool_size = market.outcome_token_pool[ market.get_outcome_str_from_bool(True) ] @@ -264,13 +270,7 @@ def calculate_bet_amount_for_price_impact( ] optimized_bet_amount = minimize_scalar( - lambda bet_amount: self.calculate_price_impact_deviation_from_target_price_impact( - bet_amount, - kelly_bet.direction, - yes_outcome_pool_size, - no_outcome_pool_size, - fee, - ), + calculate_price_impact_deviation_from_target_price_impact, bounds=(min(yes_outcome_pool_size, no_outcome_pool_size) / 1000, 1000), method="bounded", tol=1e-11, From efa1909350af9ebf823b6a48b83e638e39ae7bac Mon Sep 17 00:00:00 2001 From: gabrielfior Date: Wed, 2 Oct 2024 12:14:21 -0300 Subject: [PATCH 28/37] Fixed mypy --- .../match_bets_with_langfuse_traces.py | 8 ++--- .../deploy/betting_strategy.py | 34 ++++++++++++------- .../tools/httpx_cached_client.py | 4 +-- tests/markets/omen/test_kelly.py | 2 +- 4 files changed, 28 insertions(+), 20 deletions(-) diff --git a/examples/monitor/match_bets_with_langfuse_traces.py b/examples/monitor/match_bets_with_langfuse_traces.py index 8c23b57d..1942f634 100644 --- a/examples/monitor/match_bets_with_langfuse_traces.py +++ b/examples/monitor/match_bets_with_langfuse_traces.py @@ -9,11 +9,11 @@ from prediction_market_agent_tooling.deploy.betting_strategy import ( BettingStrategy, KellyBettingStrategy, - ProbabilisticAnswer, - TradeType, MaxAccuracyBettingStrategy, MaxAccuracyWithKellyScaledBetsStrategy, MaxExpectedValueBettingStrategy, + ProbabilisticAnswer, + TradeType, ) from prediction_market_agent_tooling.markets.data_models import ResolvedBet from prediction_market_agent_tooling.markets.omen.omen import OmenAgentMarket @@ -298,11 +298,11 @@ def get_outcome_for_trace( pd.DataFrame.from_records(details).to_csv(f"{agent_name}_details.csv") print(f"Correlation between p_yes mse and total profit:") - for strategy, mse_profit in strat_mse_profits.items(): + for strategy_name, mse_profit in strat_mse_profits.items(): mse = mse_profit.p_yes_mse profit = mse_profit.total_profit correlation = pd.Series(mse).corr(pd.Series(profit)) - print(f"{strategy}: {correlation=}") + print(f"{strategy_name}: {correlation=}") with open("match_bets_with_langfuse_traces_overall.md", "w") as overall_f: overall_f.write(overall_md) diff --git a/prediction_market_agent_tooling/deploy/betting_strategy.py b/prediction_market_agent_tooling/deploy/betting_strategy.py index 8857de59..3c02779e 100644 --- a/prediction_market_agent_tooling/deploy/betting_strategy.py +++ b/prediction_market_agent_tooling/deploy/betting_strategy.py @@ -1,6 +1,7 @@ from abc import ABC, abstractmethod import numpy as np +from loguru import logger from scipy.optimize import minimize_scalar from prediction_market_agent_tooling.gtypes import xDai @@ -150,6 +151,14 @@ def assert_price_impact_lt_max_price_impact_else_raise( self, buy_direction: bool, bet_size: float, market: AgentMarket ) -> None: """Bet size cannot be larger than max_price_impact""" + + if not market.outcome_token_pool or not self.max_price_impact: + logger.warning( + f"Could not assert price impact, check variables: market.outcome_token_pool " + f"{market.outcome_token_pool} and self.max_price_impact {self.max_price_impact}" + ) + return + price_impact = self.calculate_price_impact_for_bet_amount( buy_direction, bet_size, @@ -235,20 +244,12 @@ def calculate_price_impact_for_bet_amount( price_impact = (actual_price - expected_price) / expected_price return price_impact - def calculate_price_impact_deviation_from_target_price_impact(b: xDai) -> float: - price_impact = self.calculate_price_impact_for_bet_amount( - kelly_bet_direction, - bet_amount, - yes_outcome_pool_size, - no_outcome_pool_size, - fee, - ) - # We return abs for the algorithm to converge to 0 instead of the min (and possibly negative) value. - return abs(price_impact - self.max_price_impact) - def calculate_bet_amount_for_price_impact( self, market: AgentMarket, kelly_bet: SimpleBet, fee: float ) -> float: + if not self.max_price_impact: + raise EnvironmentError("This method requires max_price_impact to be set") + def calculate_price_impact_deviation_from_target_price_impact( bet_amount: xDai, ) -> float: @@ -260,7 +261,14 @@ def calculate_price_impact_deviation_from_target_price_impact( fee, ) # We return abs for the algorithm to converge to 0 instead of the min (and possibly negative) value. - return abs(price_impact - self.max_price_impact) + + return abs(price_impact - self.max_price_impact) # type: ignore[operator] + + if not market.outcome_token_pool: + logger.warning( + "Market outcome_token_pool is None, cannot calculate bet amount" + ) + return kelly_bet.size yes_outcome_pool_size = market.outcome_token_pool[ market.get_outcome_str_from_bool(True) @@ -276,7 +284,7 @@ def calculate_price_impact_deviation_from_target_price_impact( tol=1e-11, options={"maxiter": 10000}, ) - return optimized_bet_amount.x + return float(optimized_bet_amount.x) def __repr__(self) -> str: return f"{self.__class__.__name__}(max_bet_amount={self.max_bet_amount}, max_price_impact={self.max_price_impact})" diff --git a/prediction_market_agent_tooling/tools/httpx_cached_client.py b/prediction_market_agent_tooling/tools/httpx_cached_client.py index 2ce2985e..971abd49 100644 --- a/prediction_market_agent_tooling/tools/httpx_cached_client.py +++ b/prediction_market_agent_tooling/tools/httpx_cached_client.py @@ -2,10 +2,10 @@ class HttpxCachedClient: - def __init__(self): + def __init__(self) -> None: storage = hishel.FileStorage(ttl=3600, check_ttl_every=600) controller = hishel.Controller(force_cache=True) self.client = hishel.CacheClient(storage=storage, controller=controller) - def get_client(self): + def get_client(self) -> hishel.CacheClient: return self.client diff --git a/tests/markets/omen/test_kelly.py b/tests/markets/omen/test_kelly.py index c3a7bec6..b9a81e0c 100644 --- a/tests/markets/omen/test_kelly.py +++ b/tests/markets/omen/test_kelly.py @@ -29,7 +29,7 @@ def assert_price_impact( yes: float, no: float, kelly: KellyBettingStrategy, -): +) -> None: price_impact = kelly.calculate_price_impact_for_bet_amount( buy_direction, bet_amount=bet_amount, yes=yes, no=no, fee=0 ) From 06be0d6671b11abe7afd43aba26e0a6a1b698371 Mon Sep 17 00:00:00 2001 From: gabrielfior Date: Wed, 2 Oct 2024 12:33:58 -0300 Subject: [PATCH 29/37] Improved mypy removing ifs --- .../deploy/betting_strategy.py | 29 +++++++++++-------- 1 file changed, 17 insertions(+), 12 deletions(-) diff --git a/prediction_market_agent_tooling/deploy/betting_strategy.py b/prediction_market_agent_tooling/deploy/betting_strategy.py index 3c02779e..1ded9a09 100644 --- a/prediction_market_agent_tooling/deploy/betting_strategy.py +++ b/prediction_market_agent_tooling/deploy/betting_strategy.py @@ -148,11 +148,15 @@ def __init__(self, max_bet_amount: float, max_price_impact: float | None = None) self.max_price_impact = max_price_impact def assert_price_impact_lt_max_price_impact_else_raise( - self, buy_direction: bool, bet_size: float, market: AgentMarket + self, + buy_direction: bool, + bet_size: float, + market: AgentMarket, + max_price_impact: float, ) -> None: """Bet size cannot be larger than max_price_impact""" - if not market.outcome_token_pool or not self.max_price_impact: + if not market.outcome_token_pool: logger.warning( f"Could not assert price impact, check variables: market.outcome_token_pool " f"{market.outcome_token_pool} and self.max_price_impact {self.max_price_impact}" @@ -167,11 +171,11 @@ def assert_price_impact_lt_max_price_impact_else_raise( 0, ) - if price_impact > self.max_price_impact and not np.isclose( - price_impact, self.max_price_impact, atol=self.max_price_impact * 0.01 + if price_impact > max_price_impact and not np.isclose( + price_impact, max_price_impact, atol=max_price_impact * 0.01 ): raise ValueError( - f"Price impact {price_impact} deviates too much from self.max_price_impact {self.max_price_impact}, market_id {market.id}" + f"Price impact {price_impact} deviates too much from self.max_price_impact {max_price_impact}, market_id {market.id}" ) def calculate_trades( @@ -206,14 +210,14 @@ def calculate_trades( if self.max_price_impact: # Adjust amount max_slippage_bet_amount = self.calculate_bet_amount_for_price_impact( - market, kelly_bet, 0 + market, kelly_bet, 0, self.max_price_impact ) # We just don't want Kelly size to extrapolate price_impact - hence we take the min. kelly_bet_size = min(kelly_bet.size, max_slippage_bet_amount) self.assert_price_impact_lt_max_price_impact_else_raise( - kelly_bet.direction, kelly_bet_size, market + kelly_bet.direction, kelly_bet_size, market, self.max_price_impact ) amounts = { @@ -245,11 +249,12 @@ def calculate_price_impact_for_bet_amount( return price_impact def calculate_bet_amount_for_price_impact( - self, market: AgentMarket, kelly_bet: SimpleBet, fee: float + self, + market: AgentMarket, + kelly_bet: SimpleBet, + fee: float, + max_price_impact: float, ) -> float: - if not self.max_price_impact: - raise EnvironmentError("This method requires max_price_impact to be set") - def calculate_price_impact_deviation_from_target_price_impact( bet_amount: xDai, ) -> float: @@ -262,7 +267,7 @@ def calculate_price_impact_deviation_from_target_price_impact( ) # We return abs for the algorithm to converge to 0 instead of the min (and possibly negative) value. - return abs(price_impact - self.max_price_impact) # type: ignore[operator] + return abs(price_impact - max_price_impact) if not market.outcome_token_pool: logger.warning( From 79fca0c14406582e5eef28e7bbdf4a3fb5a565c0 Mon Sep 17 00:00:00 2001 From: gabrielfior Date: Wed, 2 Oct 2024 15:23:25 -0300 Subject: [PATCH 30/37] Final mypy improvements --- .../deploy/betting_strategy.py | 21 +++++++------------ 1 file changed, 8 insertions(+), 13 deletions(-) diff --git a/prediction_market_agent_tooling/deploy/betting_strategy.py b/prediction_market_agent_tooling/deploy/betting_strategy.py index 1ded9a09..26e35f3a 100644 --- a/prediction_market_agent_tooling/deploy/betting_strategy.py +++ b/prediction_market_agent_tooling/deploy/betting_strategy.py @@ -152,22 +152,17 @@ def assert_price_impact_lt_max_price_impact_else_raise( buy_direction: bool, bet_size: float, market: AgentMarket, - max_price_impact: float, ) -> None: """Bet size cannot be larger than max_price_impact""" - if not market.outcome_token_pool: - logger.warning( - f"Could not assert price impact, check variables: market.outcome_token_pool " - f"{market.outcome_token_pool} and self.max_price_impact {self.max_price_impact}" - ) - return + outcome_token_pool = check_not_none(market.outcome_token_pool) + max_price_impact = check_not_none(self.max_price_impact) price_impact = self.calculate_price_impact_for_bet_amount( buy_direction, bet_size, - market.outcome_token_pool["Yes"], - market.outcome_token_pool["No"], + outcome_token_pool["Yes"], + outcome_token_pool["No"], 0, ) @@ -175,7 +170,7 @@ def assert_price_impact_lt_max_price_impact_else_raise( price_impact, max_price_impact, atol=max_price_impact * 0.01 ): raise ValueError( - f"Price impact {price_impact} deviates too much from self.max_price_impact {max_price_impact}, market_id {market.id}" + f"Price impact {price_impact} deviates too much from max_price_impact {max_price_impact}, market_id {market.id}" ) def calculate_trades( @@ -210,14 +205,14 @@ def calculate_trades( if self.max_price_impact: # Adjust amount max_slippage_bet_amount = self.calculate_bet_amount_for_price_impact( - market, kelly_bet, 0, self.max_price_impact + market, kelly_bet, 0 ) # We just don't want Kelly size to extrapolate price_impact - hence we take the min. kelly_bet_size = min(kelly_bet.size, max_slippage_bet_amount) self.assert_price_impact_lt_max_price_impact_else_raise( - kelly_bet.direction, kelly_bet_size, market, self.max_price_impact + kelly_bet.direction, kelly_bet_size, market ) amounts = { @@ -253,7 +248,6 @@ def calculate_bet_amount_for_price_impact( market: AgentMarket, kelly_bet: SimpleBet, fee: float, - max_price_impact: float, ) -> float: def calculate_price_impact_deviation_from_target_price_impact( bet_amount: xDai, @@ -267,6 +261,7 @@ def calculate_price_impact_deviation_from_target_price_impact( ) # We return abs for the algorithm to converge to 0 instead of the min (and possibly negative) value. + max_price_impact = check_not_none(self.max_price_impact) return abs(price_impact - max_price_impact) if not market.outcome_token_pool: From b8884deee17857093c216ec949bd60bea37c7621 Mon Sep 17 00:00:00 2001 From: gabrielfior Date: Thu, 3 Oct 2024 07:05:08 -0300 Subject: [PATCH 31/37] Moved test | refactored Yes,No --- prediction_market_agent_tooling/deploy/betting_strategy.py | 4 ++-- tests/{markets/omen => }/test_kelly.py | 1 + 2 files changed, 3 insertions(+), 2 deletions(-) rename tests/{markets/omen => }/test_kelly.py (93%) diff --git a/prediction_market_agent_tooling/deploy/betting_strategy.py b/prediction_market_agent_tooling/deploy/betting_strategy.py index 26e35f3a..f8f48be1 100644 --- a/prediction_market_agent_tooling/deploy/betting_strategy.py +++ b/prediction_market_agent_tooling/deploy/betting_strategy.py @@ -161,8 +161,8 @@ def assert_price_impact_lt_max_price_impact_else_raise( price_impact = self.calculate_price_impact_for_bet_amount( buy_direction, bet_size, - outcome_token_pool["Yes"], - outcome_token_pool["No"], + outcome_token_pool[market.get_outcome_str_from_bool(True)], + outcome_token_pool[market.get_outcome_str_from_bool(False)], 0, ) diff --git a/tests/markets/omen/test_kelly.py b/tests/test_kelly.py similarity index 93% rename from tests/markets/omen/test_kelly.py rename to tests/test_kelly.py index b9a81e0c..a19dd09b 100644 --- a/tests/markets/omen/test_kelly.py +++ b/tests/test_kelly.py @@ -14,6 +14,7 @@ def test_kelly_slippage_calculation1() -> None: def test_kelly_slippage_calculation2() -> None: + # Follow-up from first case from https://docs.gnosis.io/conditionaltokens/docs/introduction3/#an-example-with-cpmm kelly = KellyBettingStrategy(max_bet_amount=1, max_price_impact=0.5) # after first bet 10 xDAI on Yes, new yes/no yes = 5 From 6b7b6a7f5628d09facf42a29264e166f935a4e96 Mon Sep 17 00:00:00 2001 From: gabrielfior Date: Thu, 3 Oct 2024 07:18:13 -0300 Subject: [PATCH 32/37] Importing logger from loggers and not loguru --- prediction_market_agent_tooling/deploy/betting_strategy.py | 2 +- prediction_market_agent_tooling/markets/polymarket/api.py | 2 +- prediction_market_agent_tooling/tools/is_predictable.py | 2 +- .../tools/tavily_storage/tavily_models.py | 2 +- 4 files changed, 4 insertions(+), 4 deletions(-) diff --git a/prediction_market_agent_tooling/deploy/betting_strategy.py b/prediction_market_agent_tooling/deploy/betting_strategy.py index f8f48be1..beb0c009 100644 --- a/prediction_market_agent_tooling/deploy/betting_strategy.py +++ b/prediction_market_agent_tooling/deploy/betting_strategy.py @@ -1,10 +1,10 @@ from abc import ABC, abstractmethod import numpy as np -from loguru import logger from scipy.optimize import minimize_scalar from prediction_market_agent_tooling.gtypes import xDai +from prediction_market_agent_tooling.loggers import logger from prediction_market_agent_tooling.markets.agent_market import AgentMarket from prediction_market_agent_tooling.markets.data_models import ( Currency, diff --git a/prediction_market_agent_tooling/markets/polymarket/api.py b/prediction_market_agent_tooling/markets/polymarket/api.py index 2ba161cf..8abf7057 100644 --- a/prediction_market_agent_tooling/markets/polymarket/api.py +++ b/prediction_market_agent_tooling/markets/polymarket/api.py @@ -2,8 +2,8 @@ import requests import tenacity -from loguru import logger +from prediction_market_agent_tooling.loggers import logger from prediction_market_agent_tooling.markets.polymarket.data_models import ( POLYMARKET_FALSE_OUTCOME, POLYMARKET_TRUE_OUTCOME, diff --git a/prediction_market_agent_tooling/tools/is_predictable.py b/prediction_market_agent_tooling/tools/is_predictable.py index 99743b31..569be7c7 100644 --- a/prediction_market_agent_tooling/tools/is_predictable.py +++ b/prediction_market_agent_tooling/tools/is_predictable.py @@ -1,7 +1,7 @@ import tenacity -from loguru import logger from prediction_market_agent_tooling.config import APIKeys +from prediction_market_agent_tooling.loggers import logger from prediction_market_agent_tooling.tools.cache import persistent_inmemory_cache from prediction_market_agent_tooling.tools.langfuse_ import ( get_langfuse_langchain_config, diff --git a/prediction_market_agent_tooling/tools/tavily_storage/tavily_models.py b/prediction_market_agent_tooling/tools/tavily_storage/tavily_models.py index 429e0bc4..491082c7 100644 --- a/prediction_market_agent_tooling/tools/tavily_storage/tavily_models.py +++ b/prediction_market_agent_tooling/tools/tavily_storage/tavily_models.py @@ -2,7 +2,6 @@ from datetime import datetime, timedelta import tenacity -from loguru import logger from pydantic import BaseModel from sqlalchemy import Column from sqlalchemy.dialects.postgresql import JSONB @@ -18,6 +17,7 @@ ) from prediction_market_agent_tooling.config import APIKeys +from prediction_market_agent_tooling.loggers import logger from prediction_market_agent_tooling.tools.utils import utcnow From 83349d4c9a417833fd8804a1126122bde76dadf6 Mon Sep 17 00:00:00 2001 From: gabrielfior Date: Thu, 3 Oct 2024 10:26:54 -0300 Subject: [PATCH 33/37] Made minimize_scalar bounds more robust --- prediction_market_agent_tooling/deploy/betting_strategy.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/prediction_market_agent_tooling/deploy/betting_strategy.py b/prediction_market_agent_tooling/deploy/betting_strategy.py index beb0c009..4df85f2b 100644 --- a/prediction_market_agent_tooling/deploy/betting_strategy.py +++ b/prediction_market_agent_tooling/deploy/betting_strategy.py @@ -277,9 +277,10 @@ def calculate_price_impact_deviation_from_target_price_impact( market.get_outcome_str_from_bool(False) ] + # The bounds below have been found to work heuristically. optimized_bet_amount = minimize_scalar( calculate_price_impact_deviation_from_target_price_impact, - bounds=(min(yes_outcome_pool_size, no_outcome_pool_size) / 1000, 1000), + bounds=(0, 1000 * (yes_outcome_pool_size + no_outcome_pool_size)), method="bounded", tol=1e-11, options={"maxiter": 10000}, From 6f014a6b6ed150e78cb7592a8f53c89995d4dd72 Mon Sep 17 00:00:00 2001 From: gabrielfior Date: Thu, 3 Oct 2024 10:29:59 -0300 Subject: [PATCH 34/37] Small changes after merge --- poetry.lock | 260 ++++++++++++++++++++++++++++--------------------- pyproject.toml | 1 + 2 files changed, 149 insertions(+), 112 deletions(-) diff --git a/poetry.lock b/poetry.lock index 7f1c7026..3bd8af68 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1997,6 +1997,27 @@ doc = ["sphinx (>=5.0.0)", "sphinx-rtd-theme (>=1.0.0)", "towncrier (>=21,<22)"] lint = ["black (>=22)", "flake8 (==6.0.0)", "flake8-bugbear (==23.3.23)", "isort (>=5.10.1)", "mypy (==0.971)", "pydocstyle (>=5.0.0)"] test = ["eth-utils (>=1.0.1,<3)", "hypothesis (>=3.44.24,<=6.31.6)", "pytest (>=7.0.0)", "pytest-xdist (>=2.4.0)"] +[[package]] +name = "hishel" +version = "0.0.31" +description = "Persistent cache implementation for httpx and httpcore" +optional = false +python-versions = ">=3.8" +files = [ + {file = 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[[package]] @@ -5862,4 +5898,4 @@ openai = ["openai"] [metadata] lock-version = "2.0" python-versions = ">=3.10,<3.12" -content-hash = "a8aa7db40788e0cbabcab2be15e479007ffab8542ef3266743f29cd85b1cacd1" +content-hash = "4f60565b99290a6a4d57f0dafb5523548c01f5d10315f7ec396cc5db0018c8b2" diff --git a/pyproject.toml b/pyproject.toml index 2d7072a4..a22bf5e3 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -49,6 +49,7 @@ psycopg2-binary = "^2.9.9" base58 = ">=1.0.2,<2.0" loky = "^3.4.1" pinatapy-vourhey = "^0.2.0" +hishel = "^0.0.31" [tool.poetry.extras] openai = ["openai"] From d3f5c046f53e9c86f53cb33c4cee4642d989ac05 Mon Sep 17 00:00:00 2001 From: gabrielfior Date: Thu, 3 Oct 2024 10:41:42 -0300 Subject: [PATCH 35/37] Removed incorrect slippage mentions --- prediction_market_agent_tooling/deploy/betting_strategy.py | 4 ++-- tests/test_kelly.py | 4 ++-- 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/prediction_market_agent_tooling/deploy/betting_strategy.py b/prediction_market_agent_tooling/deploy/betting_strategy.py index 4df85f2b..076f1797 100644 --- a/prediction_market_agent_tooling/deploy/betting_strategy.py +++ b/prediction_market_agent_tooling/deploy/betting_strategy.py @@ -204,12 +204,12 @@ def calculate_trades( kelly_bet_size = kelly_bet.size if self.max_price_impact: # Adjust amount - max_slippage_bet_amount = self.calculate_bet_amount_for_price_impact( + max_price_impact_bet_amount = self.calculate_bet_amount_for_price_impact( market, kelly_bet, 0 ) # We just don't want Kelly size to extrapolate price_impact - hence we take the min. - kelly_bet_size = min(kelly_bet.size, max_slippage_bet_amount) + kelly_bet_size = min(kelly_bet.size, max_price_impact_bet_amount) self.assert_price_impact_lt_max_price_impact_else_raise( kelly_bet.direction, kelly_bet_size, market diff --git a/tests/test_kelly.py b/tests/test_kelly.py index a19dd09b..ce88ff37 100644 --- a/tests/test_kelly.py +++ b/tests/test_kelly.py @@ -3,7 +3,7 @@ from prediction_market_agent_tooling.deploy.betting_strategy import KellyBettingStrategy -def test_kelly_slippage_calculation1() -> None: +def test_kelly_price_impact_calculation1() -> None: # First case from https://docs.gnosis.io/conditionaltokens/docs/introduction3/#an-example-with-cpmm kelly = KellyBettingStrategy(max_bet_amount=1, max_price_impact=0.5) yes = 10 @@ -13,7 +13,7 @@ def test_kelly_slippage_calculation1() -> None: assert_price_impact(bet_amount, buy_direction, yes, no, kelly) -def test_kelly_slippage_calculation2() -> None: +def test_kelly_price_impact_calculation2() -> None: # Follow-up from first case from https://docs.gnosis.io/conditionaltokens/docs/introduction3/#an-example-with-cpmm kelly = KellyBettingStrategy(max_bet_amount=1, max_price_impact=0.5) # after first bet 10 xDAI on Yes, new yes/no From 74d524e5a06f9d5e552a2170f311f63f622c1e30 Mon Sep 17 00:00:00 2001 From: gabrielfior Date: Thu, 3 Oct 2024 11:22:37 -0300 Subject: [PATCH 36/37] Refactored assert from betting stategy into integration test --- .../deploy/betting_strategy.py | 31 ---- .../markets/agent_market.py | 2 + .../markets/omen/omen_subgraph_handler.py | 10 ++ tests/test_kelly.py | 51 ------- tests_integration/markets/omen/test_kelly.py | 135 ++++++++++++++++++ 5 files changed, 147 insertions(+), 82 deletions(-) delete mode 100644 tests/test_kelly.py create mode 100644 tests_integration/markets/omen/test_kelly.py diff --git a/prediction_market_agent_tooling/deploy/betting_strategy.py b/prediction_market_agent_tooling/deploy/betting_strategy.py index 076f1797..52259628 100644 --- a/prediction_market_agent_tooling/deploy/betting_strategy.py +++ b/prediction_market_agent_tooling/deploy/betting_strategy.py @@ -1,6 +1,5 @@ from abc import ABC, abstractmethod -import numpy as np from scipy.optimize import minimize_scalar from prediction_market_agent_tooling.gtypes import xDai @@ -147,32 +146,6 @@ def __init__(self, max_bet_amount: float, max_price_impact: float | None = None) self.max_bet_amount = max_bet_amount self.max_price_impact = max_price_impact - def assert_price_impact_lt_max_price_impact_else_raise( - self, - buy_direction: bool, - bet_size: float, - market: AgentMarket, - ) -> None: - """Bet size cannot be larger than max_price_impact""" - - outcome_token_pool = check_not_none(market.outcome_token_pool) - max_price_impact = check_not_none(self.max_price_impact) - - price_impact = self.calculate_price_impact_for_bet_amount( - buy_direction, - bet_size, - outcome_token_pool[market.get_outcome_str_from_bool(True)], - outcome_token_pool[market.get_outcome_str_from_bool(False)], - 0, - ) - - if price_impact > max_price_impact and not np.isclose( - price_impact, max_price_impact, atol=max_price_impact * 0.01 - ): - raise ValueError( - f"Price impact {price_impact} deviates too much from max_price_impact {max_price_impact}, market_id {market.id}" - ) - def calculate_trades( self, existing_position: Position | None, @@ -211,10 +184,6 @@ def calculate_trades( # We just don't want Kelly size to extrapolate price_impact - hence we take the min. kelly_bet_size = min(kelly_bet.size, max_price_impact_bet_amount) - self.assert_price_impact_lt_max_price_impact_else_raise( - kelly_bet.direction, kelly_bet_size, market - ) - amounts = { market.get_outcome_str_from_bool(kelly_bet.direction): TokenAmount( amount=kelly_bet_size, currency=market.currency diff --git a/prediction_market_agent_tooling/markets/agent_market.py b/prediction_market_agent_tooling/markets/agent_market.py index d258d35b..bff0d4be 100644 --- a/prediction_market_agent_tooling/markets/agent_market.py +++ b/prediction_market_agent_tooling/markets/agent_market.py @@ -28,6 +28,8 @@ class SortBy(str, Enum): CLOSING_SOONEST = "closing-soonest" NEWEST = "newest" + HIGHEST_LIQUIDITY = "highest_liquidity" + LOWEST_LIQUIDITY = "lowest_liquidity" NONE = "none" diff --git a/prediction_market_agent_tooling/markets/omen/omen_subgraph_handler.py b/prediction_market_agent_tooling/markets/omen/omen_subgraph_handler.py index e830127b..7ee33991 100644 --- a/prediction_market_agent_tooling/markets/omen/omen_subgraph_handler.py +++ b/prediction_market_agent_tooling/markets/omen/omen_subgraph_handler.py @@ -319,6 +319,16 @@ def _build_sort_params( sort_by_field = ( self.trades_subgraph.FixedProductMarketMaker.openingTimestamp ) + case SortBy.HIGHEST_LIQUIDITY: + sort_direction = "desc" + sort_by_field = ( + self.trades_subgraph.FixedProductMarketMaker.liquidityMeasure + ) + case SortBy.LOWEST_LIQUIDITY: + sort_direction = "asc" + sort_by_field = ( + self.trades_subgraph.FixedProductMarketMaker.liquidityMeasure + ) case SortBy.NONE: sort_direction = None sort_by_field = None diff --git a/tests/test_kelly.py b/tests/test_kelly.py deleted file mode 100644 index ce88ff37..00000000 --- a/tests/test_kelly.py +++ /dev/null @@ -1,51 +0,0 @@ -import numpy as np - -from prediction_market_agent_tooling.deploy.betting_strategy import KellyBettingStrategy - - -def test_kelly_price_impact_calculation1() -> None: - # First case from https://docs.gnosis.io/conditionaltokens/docs/introduction3/#an-example-with-cpmm - kelly = KellyBettingStrategy(max_bet_amount=1, max_price_impact=0.5) - yes = 10 - no = 10 - bet_amount = 10 - buy_direction = True - assert_price_impact(bet_amount, buy_direction, yes, no, kelly) - - -def test_kelly_price_impact_calculation2() -> None: - # Follow-up from first case from https://docs.gnosis.io/conditionaltokens/docs/introduction3/#an-example-with-cpmm - kelly = KellyBettingStrategy(max_bet_amount=1, max_price_impact=0.5) - # after first bet 10 xDAI on Yes, new yes/no - yes = 5 - no = 20 - bet_amount = 10 - buy_direction = False - assert_price_impact(bet_amount, buy_direction, yes, no, kelly) - - -def assert_price_impact( - bet_amount: float, - buy_direction: bool, - yes: float, - no: float, - kelly: KellyBettingStrategy, -) -> None: - price_impact = kelly.calculate_price_impact_for_bet_amount( - buy_direction, bet_amount=bet_amount, yes=yes, no=no, fee=0 - ) - - # Calculation is done assuming buy_direction is True. Else, we invert the reserves. - if not buy_direction: - yes, no = no, yes - - expected_price_yes = no / (yes + no) - k = yes * no - tokens_bought_yes = (yes + bet_amount) - (k / (no + bet_amount)) # 23.333 # x*y = k - actual_price_yes = bet_amount / tokens_bought_yes - expected_price_impact = (actual_price_yes - expected_price_yes) / expected_price_yes - #### - - assert np.isclose(price_impact, expected_price_impact, rtol=0.01) - - print(price_impact) diff --git a/tests_integration/markets/omen/test_kelly.py b/tests_integration/markets/omen/test_kelly.py new file mode 100644 index 00000000..f33ebc2c --- /dev/null +++ b/tests_integration/markets/omen/test_kelly.py @@ -0,0 +1,135 @@ +import numpy as np +import pytest + +from prediction_market_agent_tooling.deploy.betting_strategy import KellyBettingStrategy +from prediction_market_agent_tooling.markets.agent_market import FilterBy, SortBy +from prediction_market_agent_tooling.markets.omen.omen import OmenAgentMarket +from prediction_market_agent_tooling.markets.omen.omen_subgraph_handler import ( + OmenSubgraphHandler, +) +from prediction_market_agent_tooling.tools.betting_strategies.kelly_criterion import ( + get_kelly_bet_full, +) +from prediction_market_agent_tooling.tools.utils import check_not_none + + +def test_kelly_price_impact_calculation1() -> None: + # First case from https://docs.gnosis.io/conditionaltokens/docs/introduction3/#an-example-with-cpmm + kelly = KellyBettingStrategy(max_bet_amount=1, max_price_impact=0.5) + yes = 10 + no = 10 + bet_amount = 10 + buy_direction = True + assert_price_impact(bet_amount, buy_direction, yes, no, kelly) + + +def test_kelly_price_impact_calculation2() -> None: + # Follow-up from first case from https://docs.gnosis.io/conditionaltokens/docs/introduction3/#an-example-with-cpmm + kelly = KellyBettingStrategy(max_bet_amount=1, max_price_impact=0.5) + # after first bet 10 xDAI on Yes, new yes/no + yes = 5 + no = 20 + bet_amount = 10 + buy_direction = False + assert_price_impact(bet_amount, buy_direction, yes, no, kelly) + + +@pytest.mark.parametrize( + "max_bet_amount, max_price_impact, p_yes", [(2, 0.5, 0.9), (5, 0.7, 0.8)] +) +def test_kelly_price_impact_works_large_pool( + max_bet_amount: int, max_price_impact: float, p_yes: float +) -> None: + large_market = OmenSubgraphHandler().get_omen_binary_markets_simple( + limit=1, filter_by=FilterBy.OPEN, sort_by=SortBy.HIGHEST_LIQUIDITY + )[0] + omen_agent_market = OmenAgentMarket.from_data_model(large_market) + confidence = 1.0 + assert_price_impact_converges( + omen_agent_market, max_bet_amount, p_yes, confidence, max_price_impact + ) + + +@pytest.mark.parametrize( + "max_bet_amount, max_price_impact, p_yes", [(2, 0.5, 0.9), (5, 0.7, 0.8)] +) +def test_kelly_price_impact_works_small_pool( + max_bet_amount: int, max_price_impact: float, p_yes: float +) -> None: + large_market = OmenSubgraphHandler().get_omen_binary_markets_simple( + limit=1, filter_by=FilterBy.OPEN, sort_by=SortBy.HIGHEST_LIQUIDITY + )[0] + omen_agent_market = OmenAgentMarket.from_data_model(large_market) + confidence = 1.0 + assert_price_impact_converges( + omen_agent_market, max_bet_amount, p_yes, confidence, max_price_impact + ) + + +def assert_price_impact_converges( + omen_agent_market: OmenAgentMarket, + max_bet_amount: float, + p_yes: float, + confidence: float, + max_price_impact: float, +) -> None: + outcome_token_pool = check_not_none(omen_agent_market.outcome_token_pool) + yes_outcome_pool_size = outcome_token_pool[ + omen_agent_market.get_outcome_str_from_bool(True) + ] + no_outcome_pool_size = outcome_token_pool[ + omen_agent_market.get_outcome_str_from_bool(False) + ] + + kelly_bet = get_kelly_bet_full( + yes_outcome_pool_size=yes_outcome_pool_size, + no_outcome_pool_size=no_outcome_pool_size, + estimated_p_yes=p_yes, + max_bet=max_bet_amount, + confidence=confidence, + ) + + kelly = KellyBettingStrategy( + max_bet_amount=max_bet_amount, max_price_impact=max_price_impact + ) + + max_price_impact_bet_amount = kelly.calculate_bet_amount_for_price_impact( + omen_agent_market, kelly_bet, 0 + ) + price_impact = kelly.calculate_price_impact_for_bet_amount( + kelly_bet.direction, + bet_amount=max_price_impact_bet_amount, + yes=yes_outcome_pool_size, + no=no_outcome_pool_size, + fee=0, + ) + + # assert convergence + assert np.isclose(price_impact, max_price_impact, atol=max_price_impact * 0.001) + + +def assert_price_impact( + bet_amount: float, + buy_direction: bool, + yes: float, + no: float, + kelly: KellyBettingStrategy, +) -> None: + price_impact = kelly.calculate_price_impact_for_bet_amount( + buy_direction, bet_amount=bet_amount, yes=yes, no=no, fee=0 + ) + + # Calculation is done assuming buy_direction is True. Else, we invert the reserves. + if not buy_direction: + yes, no = no, yes + + expected_price_yes = no / (yes + no) + k = yes * no + tokens_bought_yes = (yes + bet_amount) - (k / (no + bet_amount)) # 23.333 # x*y = k + actual_price_yes = bet_amount / tokens_bought_yes + expected_price_impact = (actual_price_yes - expected_price_yes) / expected_price_yes + #### + + assert np.isclose(price_impact, expected_price_impact, rtol=0.01) + + print(price_impact) From 8cd48183e1848cd97d9957090e72549de3c97bc7 Mon Sep 17 00:00:00 2001 From: gabrielfior Date: Thu, 3 Oct 2024 11:50:02 -0300 Subject: [PATCH 37/37] Small fix test --- tests_integration/markets/omen/test_kelly.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tests_integration/markets/omen/test_kelly.py b/tests_integration/markets/omen/test_kelly.py index f33ebc2c..1871d70f 100644 --- a/tests_integration/markets/omen/test_kelly.py +++ b/tests_integration/markets/omen/test_kelly.py @@ -57,7 +57,7 @@ def test_kelly_price_impact_works_small_pool( max_bet_amount: int, max_price_impact: float, p_yes: float ) -> None: large_market = OmenSubgraphHandler().get_omen_binary_markets_simple( - limit=1, filter_by=FilterBy.OPEN, sort_by=SortBy.HIGHEST_LIQUIDITY + limit=2, filter_by=FilterBy.OPEN, sort_by=SortBy.LOWEST_LIQUIDITY )[0] omen_agent_market = OmenAgentMarket.from_data_model(large_market) confidence = 1.0