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backtesting

Options trading analytics — backtest stats, walk-forward analysis, Monte Carlo, risk metrics. Web dashboard at tradeblocks.io | MCP server on npm | Docker: romeo345/tradeblocks-mcp

Free CLI that audits a backtest's execution assumptions (stop-fill slippage, gap-through, fee tier). Finds the silent inflators in freqtrade / backtesting.py results. Reproducible script included.

C++ trading library with exact decimals: header-only C++17 API and C API for 740 technical indicators, an L2 order book, OHLCV candles, Black-Scholes Greeks, position ledger, risk rules and a backtester. Rust-powered (fin-primitives).

Python technical indicators library and trading toolkit with exact decimals: 740 streaming indicators, L2 order book, ticks to OHLCV candles, position ledger, risk rules, Black-Scholes Greeks, backtester. Rust-powered (fin-primitives).

Quant research lab using special relativity maths on market data: labels price bars timelike or spacelike, detects black-hole wells, with backtests, Monte Carlo and paper trading. One-command Python demo. Research code, not financial advice.

Протокол проверки торговых гипотез: walk-forward, PBO/CSCV с калибровкой контрольными семействами, Deflated Sharpe, блочный бутстрап и нулевые модели, реалистичное исполнение

Dumb-as-rocks OHLC analyzer. POST your bars + the indicators you want, get back exactly what you asked for. RSI/MACD/Bollinger/ADX/ATR/VWAP/Ichimoku, plus SMC primitives: Order Blocks, FVGs, BOS/CHoCH, swing structure. Stateless HTTP + MCP, no database, no AI-powered signals, no $97/mo Discord upsell.

Python-based algorithmic trading system for NIFTY 50 options, featuring automated signal generation, risk management, backtesting, position management, and broker API execution.

Stock market data toolkit: collection from 7 free APIs, analysis, scoring, backtesting, alerts, and a Streamlit dashboard with Claude-powered briefings

A mirror of https://git.sr.ht/~enricoschumann/PMwR

Vectorised backtest SDK with Numba-compiled simulation kernels.

Framework for disciplined agent-driven prediction-market research — 7-stage pipeline, state-vector features, and backtest-hygiene machinery.

An advanced automated trading bot for Bitget USDT-M futures with a 7-stage technical analysis pipeline, Telegram interface, and optional LLM integration. Features automated trading, customizable strategies, risk management, and backtesting capabilities.

open-source backtesting engine using pandas