Coder Social home page Coder Social logo

stock_price_trend_fft's Introduction

Stock price trend analysis using Fourier transform

Run fourier_analysis.ipynb

stock_price_trend_fft's People

Contributors

manganganath avatar

Stargazers

 avatar xgq avatar  avatar  avatar Niko avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar szebenyei mate avatar  avatar Yağız Yılmaz avatar  avatar Neel Patel avatar Gregory Sogorka avatar  avatar Igor Belkov  avatar Simone Marsili avatar  avatar  avatar  avatar  avatar  avatar XS avatar Suyeol Yun avatar  avatar Neil Blake avatar Derek Snow avatar  avatar Hao(Bryce) avatar  avatar Ryan avatar  avatar Alan Dee avatar  avatar  avatar Zac avatar Isaac Jacobs avatar Boris Banushev avatar

Watchers

GaetanoArmenise avatar

stock_price_trend_fft's Issues

Stock prediction

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). https://github.com/Leci37/LecTrade/tree/develop
For this I have used big data tools like pandas python, stock technical patterns 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 we could, who knows how to make beautiful things.

Thank you for your time
I'm sorry to contact you here ,by issues, I don't know how I would be able to do it.
mail : [email protected] or https://github.com/Leci37/stocks-Machine-learning-RealTime-telegram/discussions

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.