Topics / #technical-analysis
Technical-analysis projects on GitHub
Libraries for financial market technical analysis indicators.
As of , the most-starred Technical-analysis projects on GitHub are awesome-quant (30.2K stars), backtrader (23.5K stars) and FinGPT (21.4K stars). GitHub.Locker tracks 11 Technical-analysis repositories with 150.4K stars combined. The fastest-growing on October 16 was awesome-quant, with +67 stars in a day.
Hot right now
Most stars gained in a day · Oct 16
+67awesome-quant
wilsonfreitas/awesome-quant · ★ 30.2KA curated list of libraries, packages and resources for quants - people doing quantitative finance: pricing, trading, backtesting, risk and market data.
+33ict-trading-model
carreypro/ict-trading-model · ★ 314ICT Trading Model is a Codex skill that combines multi-timeframe bias, liquidity mapping, premium/discount location, session context, displacement, market structure, and PD arrays into a strict ICT/SMC (Inner Circle Trader / Smart Money Concepts) setup-validation framework.
+29quant-trading
je-suis-tm/quant-trading · ★ 11KThis is a Python repository of quantitative trading strategies — a collection of standalone scripts implementing technical indicators, pattern recognition, options strategies and statistical arbitrage for backtesting on historical market data.
+9TradingView-API
Mathieu2301/TradingView-API · ★ 5.6KA Node.js library that pulls real-time stock, crypto, and forex prices plus indicator values straight from TradingView, without needing an official API key.
The all-time top
11 projects · by stars
- 30.2K
#1 · wilsonfreitas/awesome-quantawesome-quant
A curated list of libraries, packages and resources for quants - people doing quantitative finance: pricing, trading, backtesting, risk and market data.
- 23.5K
#2 · mementum/backtraderbacktrader
backtrader is a Python library for backtesting trading strategies: you write a strategy as code, run it against historical market data and measure how it would have performed before risking real money.
- 21.4K
#3 · AI4Finance-Foundation/FinGPTFinGPT
FinGPT is AI4Finance Foundation's open-source project for financial large language models: trained models are released on HuggingFace, with code for RAG, fine-tuning pipelines and benchmarks built around them.
- 4

abu
18.9Kbbfamily/abu · PythonThis is 'abu' (阿布量化), an open-source Python framework for building, backtesting and running quantitative trading strategies across US/A-share/HK stocks, futures, options and cryptocurrencies like Bitcoin, using machine learning to optimize the strategies.
- 5

stock
14.8Kmyhhub/stock · PythonIt is a Python-based A-share stock quant system that scrapes daily stock and ETF data, computes technical indicators and chip (cost) distribution, recognizes 61 K-line patterns, runs multi-factor stock screening and strategies, backtests them, and can place automated trades, all viewable from a web UI on PC or mobile.
- 6

ta-lib-python
12.3KTA-Lib/ta-lib-python · CythonA Python wrapper around the TA-Lib C library for technical analysis of financial market data: 150+ indicators such as RSI, MACD and Bollinger Bands, plus candlestick pattern recognition.
- 7

quant-trading
11Kje-suis-tm/quant-trading · PythonThis is a Python repository of quantitative trading strategies — a collection of standalone scripts implementing technical indicators, pattern recognition, options strategies and statistical arbitrage for backtesting on historical market data.
- 8

gekko
10.2Kaskmike/gekko · JavaScriptGekko is a Bitcoin trading and backtesting platform that connects to popular Bitcoin exchanges — a trading bot written in JavaScript that runs on Node.js.
- 9

TradingView-API
5.6KMathieu2301/TradingView-API · TypeScriptA Node.js library that pulls real-time stock, crypto, and forex prices plus indicator values straight from TradingView, without needing an official API key.
- 10

PanWatch
2.1KTNT-Likely/PanWatch · PythonPanWatch (盯盘侠) is a self-hosted AI stock-monitoring assistant covering A-share, Hong Kong and US markets: portfolio tracking, real-time alerts and automated reports, with multi-agent analysis powered by the TradingAgents framework.
- 11

ict-trading-model
314carreypro/ict-trading-model · PythonICT Trading Model is a Codex skill that combines multi-timeframe bias, liquidity mapping, premium/discount location, session context, displacement, market structure, and PD arrays into a strict ICT/SMC (Inner Circle Trader / Smart Money Concepts) setup-validation framework.
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