vectorbt

A failure-aware harness for reproducible quantitative-strategy research, with typed agent workflows and inspectable experiment memory.

Agentic coding skills for backtesting trading strategies using VectorBT. Supports Indian, US, and Crypto markets with realistic transaction cost modeling, TA-Lib indicators, QuantStats tearsheets, and 12 ready-made strategy templates.

Backtest manager in VSCode Extension

VectorBT Backtesting

A strategy tester for MetaTrader5 in Python language

Web app for pandas-ta indicators

End-to-end algorithmic trading terminal featuring PyTorch LSTM forecasting, NLP market sentiment analysis, Lasso ML feature selection, and vectorbt backtesting. Built for multi-asset quantitative research.

A backtesting web app for walk-forward optimization with common indicator strategies.

Nine-agent AI framework automating quant research from hypothesis generation through leakage-aware backtesting

A-share AI quant research with PIT data, walk-forward validation, DeepSeek agents & continuous paper trading｜中国 A 股 AI 量化研究与持续模拟盘

GUI für VectorBT Pro und KI-gestützte Research-Werkbank: algorithmische Crypto-Trading-Strategien als JSON-Spec entwickeln, in Multiparameter-Läufen backtesten und über Test-Sets und Leaderboard vergleichen. Kein Live-Trading.

A professional, reproducible environment for researching, backtesting, and executing algorithmic trading strategies.

Self-hosted Binance USDⓈ-M Futures trading bot — one strategy interface for backtest, paper, testnet & live. Python/FastAPI + React, realtime charts, risk guards, audit log.

Multi-agent LLM portfolio management system with a 21-year walk-forward backtest (2005–2025). Diploma thesis, University of Thessaly.

A comprehensive framework for developing and backtesting quantitative trading strategies.

Nous Ergon — signal quality analysis, portfolio simulation, and autonomous parameter optimization via sweep + VectorBT

Trading Strategy Backtesting Suite helps traders and quants validate ideas with event-driven backtesting, portfolio simulation, and Python backtesting workflows. Run free backtesting trading experiments on forex, options, and crypto data before risking capital in live markets.

Node-based drag-and-drop trading strategy builder with VectorBT backtesting

Local AI Investing Platform — v3.1 Master Spec. Hybrid AI-assisted quant. LangGraph + Temporal, DeepSeek R1 + Qwen 2.5, VectorBT + Nautilus, Next.js 16 PWA.

Everything you need to know for quantitative analysis using Python.