A bitcoin trading bot written in node - https://gekko.wizb.it/
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Updated
Feb 16, 2020 - JavaScript
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A bitcoin trading bot written in node - https://gekko.wizb.it/
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins and options).
Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians)
Github.com/CryptoSignal - #1 Quant Trading & Technical Analysis Bot - 2,100 + stars, 580 + forks
Self-hosted crypto trading bot (automated high frequency market making) in node.js, angular, typescript and c++
Statistical and Algorithmic Investing Strategies for Everyone
Code and resources for Machine Learning for Algorithmic Trading, 2nd edition.
Python quantitative trading strategies including Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, London Breakout, Heikin-Ashi, Pair Trading, RSI, Bollinger Bands, Parabolic SAR, Dual Thrust, Awesome, MACD
modular quant framework.
Use unsupervised and supervised learning to predict stocks
Machine Learning in Asset Management (by @firmai)
Hummingbot: a client for crypto market making
Strategies to Gekko trading bot with backtests results and some useful tools.
Quant/Algorithm trading resources with an emphasis on Machine Learning
A Java library for technical analysis.
With Python 3.5.x having reached its end of life/support, we can (drop supposed 3.4 support
C++ DataFrame for statistical, Financial, and ML analysis -- in modern C++ using native types, continuous memory storage, and no pointers are involved
Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.
Cryptocurrency trading bot in javascript for Bitfinex, Bitmex, Binance ... (public edition)
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
Python library for backtesting and analyzing trading strategies at scale
Crypto Trading Bots in Python - Triangular Arbitrage, Beginner & Advanced Cryptocurrency Trading Bots Written in Python
An advanced crypto trading framework written in Python
Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost
Introducing neural networks to predict stock prices
Python-based framework for backtesting trading strategies & analyzing financial markets [GUI
]
Free trading strategies for Freqtrade bot
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Implement a Market Profile Indicator in LEAN.
Expected Behavior
Support for Market Profile Indicator
Actual Behavior
No support in LEAN for MP Indicator
Potential Solution
Implement from examples:
Checklist