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| Please adda a ⭐ | ||
| # TrendMaster: Advanced Stock Price Prediction using Transformer Deep Learning | ||
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| # TrendMaster: Stock Price Prediction using Transformer Deep Learning Architecture | ||
| TrendMaster leverages advanced Transformer deep learning architecture to provide highly accurate stock price predictions, enabling informed investment decisions. | ||
| [](https://www.python.org/downloads/) | ||
| [](https://opensource.org/licenses/MIT) | ||
| [](https://github.com/hemangjoshi37a/TrendMaster/stargazers) | ||
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| Utilizing a wealth of data and sophisticated algorithms, TrendMaster stands out as a top-tier tool for financial forecasting. | ||
| TrendMaster leverages cutting-edge Transformer deep learning architecture to deliver highly accurate stock price predictions, empowering you to make informed investment decisions. | ||
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| ## Installation | ||
| To get started with TrendMaster, run the following installation command: | ||
| ## 🚀 Features | ||
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| - Advanced Transformer-based prediction model | ||
| - High accuracy with mean average error of just a few percentage points | ||
| - Real-time data visualization | ||
| - User-friendly interface | ||
| - Customizable model parameters | ||
| - Support for multiple stock symbols | ||
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| ## 📊 Why TrendMaster? | ||
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| TrendMaster stands out as a top-tier tool for financial forecasting by: | ||
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| - Utilizing a wealth of historical stock data | ||
| - Employing sophisticated deep learning algorithms | ||
| - Identifying patterns and trends beyond human perception | ||
| - Providing actionable insights for smarter investment strategies | ||
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| ## 🛠️ Installation | ||
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| Get started with TrendMaster in just one command: | ||
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| ```bash | ||
| pip install TrendMaster | ||
| ``` | ||
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| ## Usage | ||
| Here's how to integrate TrendMaster into your Python projects: | ||
| ## 📈 Quick Start | ||
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| Here's how to integrate TrendMaster into your Python projects: | ||
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| ```python | ||
| from trendmaster import TrendMaster | ||
| #Initialize the TrendMaster object | ||
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| # Initialize TrendMaster | ||
| test_symbol = 'SBIN' | ||
| tm = TrendMaster(symbol_name_stk=test_symbol) | ||
| #Load your data | ||
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| # Load data | ||
| data = tm.load_data(symbol=test_symbol) | ||
| #Train the model | ||
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| # Train the model | ||
| tm.train(test_symbol, transformer_params={'epochs': 1}) | ||
| #Perform inference | ||
| predictions = tm.inferencer.predict_future(val_data=data,future_steps=100,symbol=test_symbol) | ||
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| # Perform inference | ||
| predictions = tm.inferencer.predict_future(val_data=data, future_steps=100, symbol=test_symbol) | ||
| print(predictions) | ||
| ``` | ||
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| ## Star History | ||
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| <a href="https://star-history.com/#hemangjoshi37a/TrendMaster&Date"> | ||
| <picture> | ||
| <source media="(prefers-color-scheme: dark)" srcset="https://api.star-history.com/svg?repos=hemangjoshi37a/TrendMaster&type=Date&theme=dark" /> | ||
| <source media="(prefers-color-scheme: light)" srcset="https://api.star-history.com/svg?repos=hemangjoshi37a/TrendMaster&type=Date" /> | ||
| <img alt="Star History Chart" src="https://api.star-history.com/svg?repos=hemangjoshi37a/TrendMaster&type=Date" /> | ||
| </picture> | ||
| </a> | ||
| ## 📊 Sample Results | ||
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| Our Transformer-based prediction model is trained on a large dataset of historical stock prices, giving it the ability to identify patterns and trends that would be impossible for a human to discern. The model's predictions are also highly accurate, with a mean average error of just a few percentage points. | ||
| Our Transformer-based prediction model demonstrates impressive accuracy: | ||
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|  | ||
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| In addition to stock price prediction, TrendMaster also offers a range of other features, such as real-time data visualization and a user-friendly interface. With TrendMaster, you'll have all the information you need to make smart investment decisions. | ||
| ## 🖥️ User Interface | ||
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| TrendMaster comes with a sleek, user-friendly interface for easy data visualization and analysis: | ||
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| So why wait? Try TrendMaster today and see the difference for yourself! | ||
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| ## 📘 Documentation | ||
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| ## 📫 How to reach me | ||
| [<img height="36" src="https://cdn.simpleicons.org/similarweb"/>](https://hjlabs.in/) | ||
| [<img height="36" src="https://cdn.simpleicons.org/WhatsApp"/>](https://wa.me/917016525813) | ||
| [<img height="36" src="https://cdn.simpleicons.org/telegram"/>](https://t.me/hjlabs) | ||
| [<img height="36" src="https://cdn.simpleicons.org/Gmail"/>](mailto:[email protected]) | ||
| [<img height="36" src="https://cdn.simpleicons.org/LinkedIn"/>](https://www.linkedin.com/in/hemang-joshi-046746aa) | ||
| [<img height="36" src="https://cdn.simpleicons.org/facebook"/>](https://www.facebook.com/hemangjoshi37) | ||
| [<img height="36" src="https://cdn.simpleicons.org/Twitter"/>](https://twitter.com/HemangJ81509525) | ||
| [<img height="36" src="https://cdn.simpleicons.org/tumblr"/>](https://www.tumblr.com/blog/hemangjoshi37a-blog) | ||
| [<img height="36" src="https://cdn.simpleicons.org/StackOverflow"/>](https://stackoverflow.com/users/8090050/hemang-joshi) | ||
| [<img height="36" src="https://cdn.simpleicons.org/Instagram"/>](https://www.instagram.com/hemangjoshi37) | ||
| [<img height="36" src="https://cdn.simpleicons.org/Pinterest"/>](https://in.pinterest.com/hemangjoshi37a) | ||
| [<img height="36" src="https://cdn.simpleicons.org/Blogger"/>](http://hemangjoshi.blogspot.com) | ||
| [<img height="36" src="https://cdn.simpleicons.org/gitlab"/>](https://gitlab.com/hemangjoshi37a) | ||
| For detailed documentation, including API reference and advanced usage, please visit our [Wiki](https://github.com/hemangjoshi37a/TrendMaster/wiki). | ||
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| ## Checkout Cool GitHub Other Repositories: | ||
| ## 🤝 Contributing | ||
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| We welcome contributions! Please see our [Contributing Guidelines](CONTRIBUTING.md) for more details. | ||
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| ## 📝 License | ||
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| This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details. | ||
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| ## 🌟 Show Your Support | ||
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| If you find TrendMaster helpful, please consider giving it a star on GitHub. It helps others discover the project and motivates us to keep improving! | ||
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| [](https://star-history.com/#hemangjoshi37a/TrendMaster&Date) | ||
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| ## 📫 Contact | ||
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| For questions, suggestions, or collaboration opportunities, please reach out: | ||
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| - Website: [hjlabs.in](https://hjlabs.in/) | ||
| - Email: [[email protected]](mailto:[email protected]) | ||
| - LinkedIn: [Hemang Joshi](https://www.linkedin.com/in/hemang-joshi-046746aa) | ||
|
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| ## 🔗 More from HJ Labs | ||
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| Check out our other exciting projects: | ||
| - [pyPortMan](https://github.com/hemangjoshi37a/pyPortMan) | ||
| - [transformers_stock_prediction](https://github.com/hemangjoshi37a/transformers_stock_prediction) | ||
| - [TrendMaster](https://github.com/hemangjoshi37a/TrendMaster) | ||
| - [hjAlgos_notebooks](https://github.com/hemangjoshi37a/hjAlgos_notebooks) | ||
| - [AutoCut](https://github.com/hemangjoshi37a/AutoCut) | ||
| - [My_Projects](https://github.com/hemangjoshi37a/My_Projects) | ||
| - [Cool Arduino and ESP8266 or NodeMCU Projects](https://github.com/hemangjoshi37a/my_Arduino) | ||
| - [Telegram Trade Msg Backtest ML](https://github.com/hemangjoshi37a/TelegramTradeMsgBacktestML) | ||
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| ## Checkout Our Other Products: | ||
| - [WiFi IoT LED Matrix Display](https://hjlabs.in/product/wifi-iot-led-display) | ||
| - [SWiBoard WiFi Switch Board IoT Device](https://hjlabs.in/product/swiboard-wifi-switch-board-iot-device) | ||
| - [Electric Bicycle](https://hjlabs.in/product/electric-bicycle) | ||
| - [Product 3D Design Service with Solidworks](https://hjlabs.in/product/product-3d-design-with-solidworks/) | ||
| - [AutoCut : Automatic Wire Cutter Machine](https://hjlabs.in/product/automatic-wire-cutter-machine/) | ||
| - [Custom AlgoTrading Software Coding Services](https://hjlabs.in/product/custom-algotrading-software-for-zerodha-and-angel-w-source-code//) | ||
| - [SWiBoard :Tasmota MQTT Control](https://play.google.com/store/apps/details?id=in.hjlabs.swiboard) | ||
| - [Custom Token Classification or Named Entity Recognition (NER) model as in Natural Language Processing (NLP) Machine Learning](https://hjlabs.in/product/custom-token-classification-or-named-entity-recognition-ner-model-as-in-natural-language-processing-nlp-machine-learning/) | ||
|
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| ## Some Cool Arduino and ESP8266 (or NodeMCU) IoT projects: | ||
| - [IoT_LED_over_ESP8266_NodeMCU : Turn LED on and off using web server hosted on a nodemcu or esp8266](https://github.com/hemangjoshi37a/my_Arduino/tree/master/IoT_LED_over_ESP8266_NodeMCU) | ||
| - [ESP8266_NodeMCU_BasicOTA : Simple OTA (Over The Air) upload code from Arduino IDE using WiFi to NodeMCU or ESP8266](https://github.com/hemangjoshi37a/my_Arduino/tree/master/ESP8266_NodeMCU_BasicOTA) | ||
| - [IoT_CSV_SD : Read analog value of Voltage and Current and write it to SD Card in CSV format for Arduino, ESP8266, NodeMCU etc](https://github.com/hemangjoshi37a/my_Arduino/tree/master/IoT_CSV_SD) | ||
| - [Honeywell_I2C_Datalogger : Log data in A SD Card from a Honeywell I2C HIH8000 or HIH6000 series sensor having external I2C RTC clock](https://github.com/hemangjoshi37a/my_Arduino/tree/master/Honeywell_I2C_Datalogger) | ||
| - [IoT_Load_Cell_using_ESP8266_NodeMC : Read ADC value from High Precision 12bit ADS1015 ADC Sensor and Display on SSD1306 SPI Display as progress bar for Arduino or ESP8266 or NodeMCU](https://github.com/hemangjoshi37a/my_Arduino/tree/master/IoT_Load_Cell_using_ESP8266_NodeMC) | ||
| - [IoT_SSD1306_ESP8266_NodeMCU : Read from High Precision 12bit ADC seonsor ADS1015 and display to SSD1306 SPI as progress bar in ESP8266 or NodeMCU or Arduino](https://github.com/hemangjoshi37a/my_Arduino/tree/master/IoT_SSD1306_ESP8266_NodeMCU) | ||
|
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| ## Our HuggingFace Models : | ||
| - [hemangjoshi37a/autotrain-ratnakar_1000_sample_curated-1474454086 : Stock tip message NER(Named Entity Recognition or Token Classification) using HUggingFace-AutoTrain and LabelStudio and Ratnakar Securities Pvt. Ltd.](https://huggingface.co/hemangjoshi37a/autotrain-ratnakar_1000_sample_curated-1474454086) | ||
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| ## Our HuggingFace Datasets : | ||
| - [hemangjoshi37a/autotrain-data-ratnakar_1000_sample_curated : Stock tip message NER(Named Entity Recognition or Token Classification) using HUggingFace-AutoTrain and LabelStudio and Ratnakar Securities Pvt. Ltd.](https://huggingface.co/datasets/hemangjoshi37a/autotrain-data-ratnakar_1000_sample_curated) | ||
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| ## Awesome Youtube Videos : | ||
| - [❤️ હદય અને હદયના ધબકારા 💙 दिल और दिल की धड़कन 💖 Heart and beating of heart by Priyanka madam. 💕](https://www.youtube.com/watch?v=9v3MK6oTOeA) | ||
| - [🩸 રુધિર વહીનીઓ અને એના કર્યો. 🩸 Blood Vessels And Working of Blood Vessels 🩸 By Priyankama'am](https://www.youtube.com/watch?v=T7mMcEYNKyQ) | ||
| - [🩸 મનુષ્યમાં પરિવહન તંત્ર 🩸 परिसंचरण तंत्र 🩸 Blood Circulation System in Humans🩸 By Priyanka madam](https://www.youtube.com/watch?v=vxa6o_wrWnY) | ||
| - [AutoCut V2 - The World's Most Powerful Arduino Automatic Wire Cutting Machine](https://www.youtube.com/watch?v=oGr0mWmNhKY) | ||
| - [SWiBoard - A Killer Gadget to Boost Your Boring Switchboard](https://www.youtube.com/watch?v=ftza6WM4LiE) | ||
| - [🧪 મનુષ્યમાં ઉત્સર્જન-તંત્ર 🦠 मानव उत्सर्जन तंत्र ⚗️ excretory system 🩺](https://www.youtube.com/watch?v=UUGI-CFKsWI) | ||
| - [🌳વનસ્પતિમાં પાણી અને ખનીજ તત્વોનું વહન 🌲](https://youtu.be/1da9p6iYlr4) | ||
| - [🌲 વનસ્પતિમાં બાષ્પોત્સર્જન 🌳 पेड़ में वाष्पोत्सर्जन 🎄Transpiration in Trees](https://youtu.be/I9Sirc42Ktg) | ||
| - [🫁 સજીવોમાં શ્વસન 🧬 जीवों में श्वास 🫀 Breathing in organisms 👩🏻🔬](https://youtu.be/sIMl4t2OFmY) | ||
| - [🫁 શ્વસનની પ્રક્રિયા 🫀Respiratory System 🦠](https://youtu.be/hua8ZD5Ge1w) | ||
| - [🫁 મનુષ્યમાં શ્વાસ અને ઉચ્છશ્વાસ ⚛️ ](https://youtu.be/BI-CYgnkGCw) | ||
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| ## My Quirky Blog : | ||
| - [Hemang Joshi](http://hemangjoshi.blogspot.com/) | ||
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| ## Awesome Android Apps : | ||
| - [SWiBoard :Tasmota MQTT Control](https://play.google.com/store/apps/details?id=in.hjlabs.swiboard) | ||
|
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| ## Checkout Cool GitLab Other Repositories: | ||
| - [pyPortMan](https://gitlab.com/hemangjoshi37a/pyPortMan) | ||
| - [transformers_stock_prediction](https://gitlab.com/hemangjoshi37a/transformers_stock_prediction) | ||
| - [TrendMaster](https://gitlab.com/hemangjoshi37a/TrendMaster) | ||
| - [hjAlgos_notebooks](https://gitlab.com/hemangjoshi37a/hjAlgos_notebooks) | ||
| - [AutoCut](https://gitlab.com/hemangjoshi37a/AutoCut) | ||
| - [My_Projects](https://gitlab.com/hemangjoshi37a/My_Projects) | ||
| - [Cool Arduino and ESP8266 or NodeMCU Projects](https://gitlab.com/hemangjoshi37a/my_Arduino) | ||
| - [Telegram Trade Msg Backtest ML](https://gitlab.com/hemangjoshi37a/TelegramTradeMsgBacktestML) | ||
| - [TelegramTradeMsgBacktestML](https://github.com/hemangjoshi37a/TelegramTradeMsgBacktestML) | ||
|
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| --- | ||
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| Created with ❤️ by [Hemang Joshi](https://github.com/hemangjoshi37a) |