rgaveiga
diff --git a/‎.gitignore
Lines changed: 2 additions & 1 deletion b/‎.gitignore
Lines changed: 2 additions & 1 deletion
diff --git a/‎examples/black_scholes_calculator.ipynb
Lines changed: 2 additions & 2 deletions b/‎examples/black_scholes_calculator.ipynb
Lines changed: 2 additions & 2 deletions
diff --git a/‎examples/calendar_spread.ipynb
Lines changed: 21 additions & 34 deletions b/‎examples/calendar_spread.ipynb
Lines changed: 21 additions & 34 deletions
diff --git a/‎examples/call_spread.ipynb
Lines changed: 18 additions & 10 deletions b/‎examples/call_spread.ipynb
Lines changed: 18 additions & 10 deletions
diff --git a/‎examples/covered_call.ipynb
Lines changed: 24 additions & 36 deletions b/‎examples/covered_call.ipynb
Lines changed: 24 additions & 36 deletions
diff --git a/‎examples/naked_call.ipynb
Lines changed: 17 additions & 27 deletions b/‎examples/naked_call.ipynb
Lines changed: 17 additions & 27 deletions
diff --git a/‎examples/pop_calculator.ipynb
Lines changed: 0 additions & 210 deletions b/‎examples/pop_calculator.ipynb
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@@ -2,4 +2,5 @@
 .pytest_cache
 __pycache__
 dist
-run_check
+run_check
+*.old
@@ -43,7 +43,7 @@
      "output_type": "stream",
      "text": [
       "Python version: 3.11.9 | packaged by Anaconda, Inc. | (main, Apr 19 2024, 16:40:41) [MSC v.1916 64 bit (AMD64)]\n",
-      "OptionLab version: 1.3.4\n"
+      "OptionLab version: 1.4.1\n"
      ]
     }
    ],
@@ -106,7 +106,7 @@
      "output_type": "stream",
      "text": [
       "CPU times: total: 0 ns\n",
-      "Wall time: 4.36 ms\n"
+      "Wall time: 5.82 ms\n"
      ]
     }
    ],
 
@@ -164,8 +164,8 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "CPU times: total: 19.6 s\n",
-      "Wall time: 20.7 s\n"
+      "CPU times: total: 32.3 s\n",
+      "Wall time: 33.7 s\n"
      ]
     }
    ],
@@ -240,7 +240,9 @@
       "Maximum profit: 5.00\n",
       "Profitable stock price range:\n",
       "      304.96 ---> inf\n",
-      "Probability of Profit (PoP): 99.1\n"
+      "Probability of Profit (PoP): 99.1\n",
+      "Expected profit: 5.00\n",
+      "Expected loss: -503.00\n"
      ]
     }
    ],
@@ -253,7 +255,9 @@
     "for low, high in out.profit_ranges:\n",
     "    print(f\"      {low:.2f} ---> {high:.2f}\")\n",
     "\n",
-    "print(f\"Probability of Profit (PoP): {out.probability_of_profit * 100.0:.1f}\")"
+    "print(f\"Probability of Profit (PoP): {out.probability_of_profit * 100.0:.1f}\")\n",
+    "print(f\"Expected profit: {out.expected_profit:.2f}\")\n",
+    "print(f\"Expected loss: {out.expected_loss:.2f}\")"
    ]
   },
   {
@@ -269,7 +273,7 @@
     {
      "data": {
       "text/plain": [
-       "[<matplotlib.lines.Line2D at 0x1c8fff7ccd0>]"
+       "[<matplotlib.lines.Line2D at 0x1f26fc97490>]"
       ]
      },
      "execution_count": 9,
@@ -383,8 +387,8 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "CPU times: total: 18.9 s\n",
-      "Wall time: 20.4 s\n"
+      "CPU times: total: 30.1 s\n",
+      "Wall time: 31 s\n"
      ]
     }
    ],
@@ -459,7 +463,9 @@
       "Maximum profit: 8707.00\n",
       "Profitable stock price range:\n",
       "      342.94 ---> inf\n",
-      "Probability of Profit (PoP): 49.1\n"
+      "Probability of Profit (PoP): 49.1\n",
+      "Expected profit: 1367.00\n",
+      "Expected loss: -1338.00\n"
      ]
     }
    ],
@@ -472,7 +478,9 @@
     "for low, high in out.profit_ranges:\n",
     "    print(f\"      {low:.2f} ---> {high:.2f}\")\n",
     "\n",
-    "print(f\"Probability of Profit (PoP): {out.probability_of_profit * 100.0:.1f}\")"
+    "print(f\"Probability of Profit (PoP): {out.probability_of_profit * 100.0:.1f}\")\n",
+    "print(f\"Expected profit: {out.expected_profit:.2f}\")\n",
+    "print(f\"Expected loss: {out.expected_loss:.2f}\")"
    ]
   },
   {
@@ -488,7 +496,7 @@
     {
      "data": {
       "text/plain": [
-       "[<matplotlib.lines.Line2D at 0x1c8996863d0>]"
+       "[<matplotlib.lines.Line2D at 0x1f272e5ed50>]"
       ]
      },
      "execution_count": 15,
Original file line number	Diff line number	Diff line change
`@@ -43,7 +43,7 @@`
`43`	`43`	`"output_type": "stream",`
`44`	`44`	`"text": [`
`45`	`45`	`"Python version: 3.11.9 \| packaged by Anaconda, Inc. \| (main, Apr 19 2024, 16:40:41) [MSC v.1916 64 bit (AMD64)]\n",`
`46`		`- "OptionLab version: 1.3.4\n"`
	`46`	`+ "OptionLab version: 1.4.1\n"`
`47`	`47`	`]`
`48`	`48`	`}`
`49`	`49`	`],`
`@@ -106,7 +106,7 @@`
`106`	`106`	`"output_type": "stream",`
`107`	`107`	`"text": [`
`108`	`108`	`"CPU times: total: 0 ns\n",`
`109`		`- "Wall time: 4.36 ms\n"`
	`109`	`+ "Wall time: 5.82 ms\n"`
`110`	`110`	`]`
`111`	`111`	`}`
`112`	`112`	`],`
Original file line number	Diff line number	Diff line change
`@@ -164,8 +164,8 @@`
`164`	`164`	`"name": "stdout",`
`165`	`165`	`"output_type": "stream",`
`166`	`166`	`"text": [`
`167`		`- "CPU times: total: 19.6 s\n",`
`168`		`- "Wall time: 20.7 s\n"`
	`167`	`+ "CPU times: total: 32.3 s\n",`
	`168`	`+ "Wall time: 33.7 s\n"`
`169`	`169`	`]`
`170`	`170`	`}`
`171`	`171`	`],`
`@@ -240,7 +240,9 @@`
`240`	`240`	`"Maximum profit: 5.00\n",`
`241`	`241`	`"Profitable stock price range:\n",`
`242`	`242`	`" 304.96 ---> inf\n",`
`243`		`- "Probability of Profit (PoP): 99.1\n"`
	`243`	`+ "Probability of Profit (PoP): 99.1\n",`
	`244`	`+ "Expected profit: 5.00\n",`
	`245`	`+ "Expected loss: -503.00\n"`
`244`	`246`	`]`
`245`	`247`	`}`
`246`	`248`	`],`
`@@ -253,7 +255,9 @@`
`253`	`255`	`"for low, high in out.profit_ranges:\n",`
`254`	`256`	`" print(f\" {low:.2f} ---> {high:.2f}\")\n",`
`255`	`257`	`"\n",`
`256`		`- "print(f\"Probability of Profit (PoP): {out.probability_of_profit * 100.0:.1f}\")"`
	`258`	`+ "print(f\"Probability of Profit (PoP): {out.probability_of_profit * 100.0:.1f}\")\n",`
	`259`	`+ "print(f\"Expected profit: {out.expected_profit:.2f}\")\n",`
	`260`	`+ "print(f\"Expected loss: {out.expected_loss:.2f}\")"`
`257`	`261`	`]`
`258`	`262`	`},`
`259`	`263`	`{`
`@@ -269,7 +273,7 @@`
`269`	`273`	`{`
`270`	`274`	`"data": {`
`271`	`275`	`"text/plain": [`
`272`		`- "[<matplotlib.lines.Line2D at 0x1c8fff7ccd0>]"`
	`276`	`+ "[<matplotlib.lines.Line2D at 0x1f26fc97490>]"`
`273`	`277`	`]`
`274`	`278`	`},`
`275`	`279`	`"execution_count": 9,`
`@@ -383,8 +387,8 @@`
`383`	`387`	`"name": "stdout",`
`384`	`388`	`"output_type": "stream",`
`385`	`389`	`"text": [`
`386`		`- "CPU times: total: 18.9 s\n",`
`387`		`- "Wall time: 20.4 s\n"`
	`390`	`+ "CPU times: total: 30.1 s\n",`
	`391`	`+ "Wall time: 31 s\n"`
`388`	`392`	`]`
`389`	`393`	`}`
`390`	`394`	`],`
`@@ -459,7 +463,9 @@`
`459`	`463`	`"Maximum profit: 8707.00\n",`
`460`	`464`	`"Profitable stock price range:\n",`
`461`	`465`	`" 342.94 ---> inf\n",`
`462`		`- "Probability of Profit (PoP): 49.1\n"`
	`466`	`+ "Probability of Profit (PoP): 49.1\n",`
	`467`	`+ "Expected profit: 1367.00\n",`
	`468`	`+ "Expected loss: -1338.00\n"`
`463`	`469`	`]`
`464`	`470`	`}`
`465`	`471`	`],`
`@@ -472,7 +478,9 @@`
`472`	`478`	`"for low, high in out.profit_ranges:\n",`
`473`	`479`	`" print(f\" {low:.2f} ---> {high:.2f}\")\n",`
`474`	`480`	`"\n",`
`475`		`- "print(f\"Probability of Profit (PoP): {out.probability_of_profit * 100.0:.1f}\")"`
	`481`	`+ "print(f\"Probability of Profit (PoP): {out.probability_of_profit * 100.0:.1f}\")\n",`
	`482`	`+ "print(f\"Expected profit: {out.expected_profit:.2f}\")\n",`
	`483`	`+ "print(f\"Expected loss: {out.expected_loss:.2f}\")"`
`476`	`484`	`]`
`477`	`485`	`},`
`478`	`486`	`{`
`@@ -488,7 +496,7 @@`
`488`	`496`	`{`
`489`	`497`	`"data": {`
`490`	`498`	`"text/plain": [`
`491`		`- "[<matplotlib.lines.Line2D at 0x1c8996863d0>]"`
	`499`	`+ "[<matplotlib.lines.Line2D at 0x1f272e5ed50>]"`
`492`	`500`	`]`
`493`	`501`	`},`
`494`	`502`	`"execution_count": 15,`