Here are
31 public repositories
matching this topic...
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.
Updated
Mar 5, 2026
Python
Autonomous quantitative trading research platform that transforms stock lists into fully backtested strategies using AI agents, real market data, and mathematical formulations, all without requiring any coding.
Updated
May 30, 2026
Python
Backtest manager in VSCode Extension
Updated
Jul 11, 2025
TypeScript
Updated
Mar 27, 2023
Jupyter Notebook
A strategy tester for MetaTrader5 in Python language
Updated
Jun 17, 2026
Python
Web app for pandas-ta indicators
Updated
Mar 18, 2024
Python
A backtesting web app for walk-forward optimization with common indicator strategies.
Updated
Oct 9, 2023
Python
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.
Updated
Jun 14, 2026
Python
A professional, reproducible environment for researching, backtesting, and executing algorithmic trading strategies.
Updated
Feb 12, 2026
Jupyter Notebook
Autonomous Genetic Programming FX trading — 98.71% win rate on USDJPY | vectorbt | DEAP | Kimi-K2.5 AI advisor | Phase 2 active
Updated
Mar 28, 2026
Jupyter Notebook
Repeated Median Velocity Trading Strategy
Updated
Feb 16, 2026
Jupyter Notebook
Everything you need to know for quantitative analysis using Python.
Updated
Apr 14, 2025
Jupyter Notebook
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.
Updated
Jun 17, 2026
Python
This quantitative pipeline engineers and compares two models: a baseline using news sentiment (FinBERT) and an enhanced ensemble model adding options volatility. Both are validated with rigorous backtesting and Fama-French analysis to prove the superiority of the multi-factor ensemble strategy.
Updated
Jul 11, 2025
Jupyter Notebook
Institutional-grade hybrid pipeline algorithmic trading system using VectorBT, CCXT, and NautilusTrader
Updated
Jun 10, 2026
Python
VelaQuant: event-driven US equities research, backtesting, and paper-trading infrastructure
Updated
Jun 15, 2026
Python
A comprehensive framework for developing and backtesting quantitative trading strategies.
Updated
Aug 10, 2025
Python
量化回测系统 - 支持布林带/配对交易/网格交易Quantitative backtesting system - Supports Bollinger bands/paired trading/grid trading
Updated
Dec 23, 2025
Python
Criação de mini mesa quant
Updated
Apr 22, 2026
Python
Personal quant research platform. Reddit-sentiment mean-reversion on US equities. Honest backtests, strict typing, vectorbt engine.
Updated
May 15, 2026
Python
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