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https://github.com/wilsonfreitas/awesome-quant.git
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@@ -135,6 +135,7 @@ TradeAggregation,Rust,Rust,Technical Indicators,Technical Indicators,technical-i
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SlidingFeatures,Rust,Rust,Technical Indicators,Technical Indicators,technical-indicators,2026-06-29,78,https://github.com/MathisWellmann/sliding_features-rs,Chainable tree-like sliding windows for signal processing and technical analysis.,True,False,False,False,MathisWellmann/sliding_features-rs
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fin-primitives,Rust,Rust,Technical Indicators,Technical Indicators,technical-indicators,2026-03-23,15,https://github.com/Mattbusel/fin-primitives,"Financial market primitives in Rust: Price/Quantity/Symbol newtypes, BTreeMap order book, OHLCV aggregation, SMA/EMA/RSI indicators, position ledger with PnL, and composable risk monitor.",True,False,False,False,Mattbusel/fin-primitives
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Wickra,Rust,"Rust,Python,JavaScript,C++,C#,Golang,Java,R",Technical Indicators,Technical Indicators,technical-indicators,2026-08-04,44,https://github.com/wickra-lib/wickra,"Streaming-first technical-analysis library with a Rust core: 514 indicators updating in O(1) per tick, with bit-exact batch-vs-streaming results.",True,False,False,False,wickra-lib/wickra
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wickworks,REST,"REST,MCP",Technical Indicators,Technical Indicators,technical-indicators,2026-08-01,1,https://github.com/psyb0t/docker-wickworks,"Stateless OHLC analyzer: POST bars and requested indicators, get back RSI/MACD/Bollinger/ADX/ATR/VWAP/Ichimoku plus smart-money-concept primitives (order blocks, FVGs, BOS/CHoCH, swing structure). No database, no AI signals.",True,False,False,False,psyb0t/docker-wickworks
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midas-core,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-08-14,0,https://github.com/w2ur/midas-core,Multi-agent paper-trading framework where LLM agents author orders and a separate broker process enforces fifteen fill-time safety rails; each fill is stamped with the git commit it executed against for reproducibility.,True,False,False,False,w2ur/midas-core
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Manifold-BT,Python,"Python,Rust",Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-08-17,28,https://github.com/manifoldbt/manifoldbt,"High-performance Rust-powered backtesting engine for quantitative research with parameter sweeps, walk-forward and Monte Carlo.",True,False,False,False,manifoldbt/manifoldbt
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mkt-alerts,TypeScript,TypeScript,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-07-23,0,https://github.com/dzianisv/mkt-alerts,"Self-hosted market-alert daemon: price, RSI/MACD/SMA conditions, and full Pine Script v5 custom indicators evaluated off-TradingView, on crypto (Coinbase) and stocks (Yahoo Finance) with no API key, delivered via ntfy push, email, or Telegram.",True,False,False,False,dzianisv/mkt-alerts
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@@ -228,7 +229,7 @@ flashalpha-fill-simulator,Python,Python,Trading & Backtesting,Trading & Backtest
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vnpy,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-08-06,44563,https://github.com/vnpy/vnpy,VeighNa is a Python-based open source quantitative trading system development framework.,True,False,False,False,vnpy/vnpy
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Intelligent Trading Bot,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-08-11,1848,https://github.com/asavinov/intelligent-trading-bot,Automatically generating signals and trading based on machine learning and feature engineering.,True,False,False,False,asavinov/intelligent-trading-bot
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fastquant,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2023-09-15,1754,https://github.com/enzoampil/fastquant,fastquant allows you to easily backtest investment strategies with as few as 3 lines of python code.,True,False,False,False,enzoampil/fastquant
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nautilus_trader,Python,"Python,Rust",Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-08-17,25654,https://github.com/nautechsystems/nautilus_trader,A high-performance algorithmic trading platform and event-driven backtester.,True,False,False,False,nautechsystems/nautilus_trader
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nautilus_trader,Python,"Python,Rust",Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-08-17,25655,https://github.com/nautechsystems/nautilus_trader,A high-performance algorithmic trading platform and event-driven backtester.,True,False,False,False,nautechsystems/nautilus_trader
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NoEdge-Bench,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-08-07,0,https://github.com/nexusfinancial-dev/noedge-bench,"Reproducible negative-result benchmark: no model beats a memoryless synthetic binary-options feed (AUC ≈ 0.50), with permutation-null tests and a look-ahead-leak case study.",True,False,False,False,nexusfinancial-dev/noedge-bench
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YABTE,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2024-05-11,7,https://github.com/bsdz/yabte,Yet Another (Python) BackTesting Engine.,True,False,False,False,bsdz/yabte
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Trading Strategy,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-08-12,243,https://github.com/tradingstrategy-ai/getting-started,"TradingStrategy.ai is a market data, backtesting, live trading and investor management framework for decentralised finance.",True,False,False,False,tradingstrategy-ai/getting-started
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@@ -277,6 +278,8 @@ ShowMe,Python,"Python,Rust,TypeScript",Trading & Backtesting,Trading & Backtesti
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TBV1,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-07-27,4,https://github.com/nazmiefearmutcu/TRADING-BOT,Crypto perpetual-futures bot with a 7-tab web dashboard and a 15-indicator consensus engine voting across 12 timeframes (1m → 1d). Paper-mode by default. Includes packaged macOS reference build and Windows distribution.,True,False,False,False,nazmiefearmutcu/TRADING-BOT
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TraderHarness,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-08-14,17,https://github.com/HephaestLab/TraderHarness,"Contamination-resistant A-share backtesting environment for LLM trading agents with point-in-time masking, entity/date anonymization, fingerprinted replay, and trajectory (SFT) export.",True,False,False,False,HephaestLab/TraderHarness
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VerumTrade,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-06-29,11,https://github.com/muye1202/VerumTrade,A reasoning & decision-trace visible Multi-agent LLM trading-research framework where bull/bear analysts debate each ticker and every decision cites the evidence it rests on.,True,False,False,False,muye1202/VerumTrade
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mt5-httpapi,Python,"Python,REST,MCP",Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-08-13,26,https://github.com/psyb0t/mt5-httpapi,"MetaTrader 5 in a Windows VM (Docker + QEMU/KVM) over REST and MCP: market data, order/position/history management for automated trading and bots, the strategy-tester (backtesting) API, and server-side indicators (RSI/MACD/Bollinger/ADX/VWAP/Ichimoku, order blocks, FVGs). Multi-broker, multi-account.",True,False,False,False,psyb0t/mt5-httpapi
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ibkr-httpapi,Python,"Python,REST,MCP",Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-08-01,0,https://github.com/psyb0t/ibkr-httpapi,"Interactive Brokers over REST and MCP (FastAPI + ib_async over a Linux-native IB Gateway): market data (quotes, historical bars) plus order/position/execution management for automated trading across stocks, options, futures, forex, crypto and CFDs.",True,False,False,False,psyb0t/ibkr-httpapi
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Multi-Axis Robust Portfolio Optimization,Python,Python,Portfolio Optimization & Risk Analysis,Portfolio Optimization & Risk Analysis,portfolio-optimization-risk-analysis,2026-07-31,2,https://github.com/Viraj-Nigwekar/multi-axis-robust-portfolio-optimization,"Portfolio optimization framework combining covariance shrinkage, bootstrap aggregation, and parametric scenario modeling, with reproducible notebooks and an accompanying SSRN paper.",True,False,False,False,Viraj-Nigwekar/multi-axis-robust-portfolio-optimization
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AutoHypothesis,Python,Python,Portfolio Optimization & Risk Analysis,Portfolio Optimization & Risk Analysis,portfolio-optimization-risk-analysis,2026-04-22,70,https://github.com/arteemg/AutoHypothesis,"An agentic framework that mimics the real quant trading pipeline to find alpha: economic hypothesis, in-sample iteration, and out-of-sample validation.",True,False,False,False,arteemg/AutoHypothesis
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skfolio,Python,Python,Portfolio Optimization & Risk Analysis,Portfolio Optimization & Risk Analysis,portfolio-optimization-risk-analysis,2026-08-13,2169,https://github.com/skfolio/skfolio,"Python library for portfolio optimization built on top of scikit-learn. It provides a unified interface and sklearn compatible tools to build, tune and cross-validate portfolio models.",True,False,False,False,skfolio/skfolio
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