pratikpv / predicting_bitcoin_marketLinks
Predict bitcoin values using social sentiments (e.g. news and reddit posts)
☆71Updated 3 years ago
Alternatives and similar repositories for predicting_bitcoin_market
Users that are interested in predicting_bitcoin_market are comparing it to the libraries listed below
Sorting:
- 🚀 Optimizing the Elliott Wave Theory using genetic algorithms to forecast the financial markets.☆170Updated 4 years ago
- ☆103Updated 2 years ago
- A python script that estimates the support and resistance lines of a stock's prices over a time period☆76Updated 4 years ago
- Official Repository☆129Updated 4 years ago
- A collection of notebooks I used in my Medium articles.☆142Updated 3 years ago
- Source Codes for "Contrarian Trading Strategies in Python"☆79Updated 2 years ago
- A genetic algorithm incorporated with technical analysis indicator to optimize parameters of a strategy.☆29Updated 4 years ago
- Using Unsupervised learning, K-means, to determine stock support and resistance levels. Great for trading algorithms/bots using time seri…☆108Updated 4 years ago
- Using Technical, Fundamental, and Sentimental Analysis with Machine Learning☆77Updated 5 years ago
- bandl is an open-source library, provides APIs for equity stocks, derivatives, and cryptocurrencies. APIs for NSE EQ/FNO data, Nasdaq, Sa…☆66Updated 4 years ago
- Source Codes for the Book of Trading Strategies☆180Updated 3 years ago
- A repository containing algo-trading strategies built for AutoTrader. See the website below.☆85Updated last year
- Master's Graduation Thesis☆19Updated 4 years ago
- Elliot Wave Analyzer for OHLC data☆77Updated 7 years ago
- Pair Trading - Reinforcement Learning - with Oanda Trading API☆66Updated 5 years ago
- Backtesting the Fear and Greed Index and Put Call Ratio with Python and Backtrader☆121Updated 3 years ago
- ☆30Updated 2 years ago
- Visualisation for auction market theory with live charts☆125Updated 5 years ago
- ☆76Updated last year
- Python library - detection of support and resistance trendlines for technical analysis. With tuning parameters and plotting capabilities☆112Updated 11 months ago
- A machine learning program that is able to recognize patterns inside Forex or stock data☆152Updated 5 years ago
- Forex & Equities Trading Strategies using Machine Learning, Deep Learning and Statistical Techniques☆106Updated 6 years ago
- Example of adaptive trend following strategy based on Renko☆124Updated 6 years ago
- trading strategy is a fixed plan to go long or short in markets, there are two common trading strategies: the momentum strategy and the …☆61Updated 5 years ago
- Notes on Advances in Financial Machine Learning☆82Updated 6 years ago
- Attempt to predict future stock prices based on Google Trends data.☆116Updated 2 years ago
- Statistical arbitrage of cointegrating currencies with pair trading where the signal for the next day is predicted using LSTM☆55Updated 5 years ago
- An End-to-end LSTM deep learning model to predict FX rate and then use it in an algorithmic trading bot☆107Updated 4 years ago
- In this project, I had backtested the cross-over trading strategy on Google Stock from Jan 2016 to June 2020. By using historical time-se…☆44Updated 5 years ago
- Developed a deep learning model that allows trading firms to analyze large patterns of stock market data and look for possible permutatio…☆64Updated 6 years ago