Performant financial charts built with HTML5 canvas
- financial-charting-library
- charting-library
- html5-charts
- canvas
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Performant financial charts built with HTML5 canvas
TensorForce Bitcoin Trading Bot
Environment for reinforcement-learning algorithmic trading models
A light-weight deep reinforcement learning framework for portfolio management. This project explores the possibility of applying deep reinforcement learning algorithms to stock trading in a highly modular and scalable framework.
Mostly experiments based on "Advances in financial machine learning" book
Every day, millions of traders around the world are trying to make money by trading stocks. These days, physical traders are also being replaced by automated trading robots. Algorithmic trading market has experienced significant growth rate and large number of firms are using it. I have tried to build a Deep Q-learning reinforcement agent model to do automated stock trading.
This trading-gym is the first trading for agent to train with episode of short term trading itself.
Gekko Trading Bot dataset dumps. Ready to use and download history files in SQLite format.
Analysis of High Frequency Trading on Bitcoin exchanges
AI-powered SDK featuring algorithmic trading, backtesting, deployment on 100+ exchanges, and multiple optimization engines.
Streaming-first technical indicators with a Rust core: native Python, Node.js and WebAssembly bindings plus a C ABI hub for C, C++, C#, Go, Java and R. 514 indicators, O(1) per-tick updates, no system dependencies. Drop-in TA-Lib replacement.
Research experiments exploring uncommon quant techniques.
💸 Papers and Code Implements for Quantitative-Trading
Stock price prediction using a deterministic algorithm inspired by LSTM, focusing on pattern recognition in historical data.
Bitcoin - MACD Crossover Trading Strategy Backtest
Simple, modern ETH backtesting project using Pandas/Numpy: data prep, MA signals, portfolio simulation, and result visualization.