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
Predicting price trends in cryptomarkets using an lstm-RNN for the use of a trading bot
Analysis of High Frequency Trading on Bitcoin exchanges
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.
Stock price prediction using a deterministic algorithm inspired by LSTM, focusing on pattern recognition in historical data.
Simple, modern ETH backtesting project using Pandas/Numpy: data prep, MA signals, portfolio simulation, and result visualization.