Open Leci37 opened 1 year ago
@Leci37 great! why do not you open source it? So that others can improve it by collaboration?
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
Hey Luis,
Thanks for the share. I would love to add it to this project. Could you send me a email to discuss it further?
Thanks, Sharvil
On Sun, Nov 13, 2022 at 2:42 AM Luis Le @.***> wrote:
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
— Reply to this email directly, view it on GitHub https://github.com/scorpionhiccup/StockPricePrediction/issues/16#issuecomment-1312699119, or unsubscribe https://github.com/notifications/unsubscribe-auth/ABRE4BSSU6NJ7KNO3E7QPSLWIDAZ5ANCNFSM6AAAAAARWFPH6Q . You are receiving this because you are subscribed to this thread.Message ID: @.***>
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.