Open Leci37 opened 1 year ago
Hey Luis! It is nice to meet you. Yes let's do collaborate. I will be in my Discord later today if you are available, so please join here and we can discuss in the dev channels and hopefully do a VC in there as well.
eContriver Discord: https://discord.gg/RqFW3468wY
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
This is very cool! Thanks for sharing. I looked through it and I'm not sure exact;y how your training/playing back of the models works. Maybe join my discord so we can talk.
I have gmail o instagram @leci_luis 1º get the data , and work out the technical paterns(1054 paterns) 2º get the selections of best technical paterns 3º train multiples models : tensorflow, sklearn XGB models 4º Evalueted the bests moldel 5º make predictions in real time (send alert to telegram or mail)
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.