Open Leci37 opened 1 year ago
Hello Luis... I have read your work, and it's astonishing me (you got one more fan of your work, lol) Through the library you used and also the indicator you consider in building the model, I'm really aware that my work was very much inferior to yours, and honestly, I'm not confident enough for providing you feedback in my current set skills. I'm very interested in learning how you build the data model using those libraries especially TensorFlow I have read many about it that it was very powerful tool in building model for AI and Big Data I don't know whether I will further develop this project or not, cause tbh, this project is served for my educational purpose as the final project of my study, but I also couldn't agree more that stocks market data are really great data object either for professional project, educational purpose, or personal needs (especially because there's inflation now, lol) I also have a huge interest in AI model and Big Data fields, and how it would help in making our decision a little bit easier. Best Regards and keep up your great work Ps: please feel free to further contact me in case you need anything :)
if you want to collaborate you can contact me on instagram @luis__leci
My name is Luis, I'm a big-data machine-learning developer, I'm a fan of your work, and I usually check your updates.
I was afraid that my savings would be eaten by inflation. I have created a powerful tool that based on past technical patterns (volatility, moving averages, statistics, trends, candlesticks, support and resistance, stock index indicators). All the ones you know (RSI, MACD, STOCH, Bolinger Bands, SMA, DEMARK, Japanese candlesticks, ichimoku, fibonacci, williansR, balance of power, murrey math, etc) and more than 200 others.
The tool creates prediction models of correct trading points (buy signal and sell signal, every stock is good traded in time and direction). For this I have used big data tools like pandas python, stock market libraries like: tablib, TAcharts ,pandas_ta... For data collection and calculation. And powerful machine-learning libraries such as: Sklearn.RandomForest , Sklearn.GradientBoosting, XGBoost, Google TensorFlow and Google TensorFlow LSTM.
With the models trained with the selection of the best technical indicators, the tool is able to predict trading points (where to buy, where to sell) and send real-time alerts to Telegram or Mail. The points are calculated based on the learning of the correct trading points of the last 2 years (including the change to bear market after the rate hike).
I think it could be useful to you, to improve, I would like to share it with you, and if you are interested in improving and collaborating I am also willing, and if not file it in the box.
If tou want, Please read the readme , and in case of any problem you can contact me , If you are convinced try to install it with the documentation. https://github.com/Leci37/LecTrade/tree/develop I appreciate the feedback