QMT Xuntou Quantitative Trading Terminal — Built-in Python strategy development, backtesting engine, and live trading, supporting all instruments in the Chin...
AI-powered DeFi strategy development agent. Design, backtest, adapt, and evaluate yield farming strategies based on market conditions, risk profiles, and capital allocation goals. The brain of the Gek
Comprehensive strategy development workflow from ideation to validation. Use when creating trading strategies, running backtests, parameter optimization, or...
TqSdk — open-source Python SDK for futures/options trading by Shinny Tech, providing real-time quotes, backtesting, and live trading.
Comprehensive guide for FinLab quantitative trading package. Use when working with trading strategies, backtesting, stock data, FinLabDataFrame, factor analy...
--- name: quant-orchestrator description: Multi-Agent AI Quant System with factor mining, strategy generation, and automated backtesting metadata: clawdbot: emoji: "📊" homepage: "https://
RQAlpha — open-source event-driven backtesting framework by RiceQuant, supporting A-shares and futures with modular architecture.
World-class systematic trading research - backtesting, alpha generation, factor models, statistical arbitrage. Transform hypotheses into edges. Use when "bac...
Operate the Moltrade trading bot (config, backtest, test-mode runs, Nostr signal broadcast, exchange adapters, strategy integration) in OpenClaw.
Mine Bittensor Subnet 50 (Synth) with Ganglion. Covers price-path simulation, CRPS scoring, volatility estimation, backtesting, and multi-asset forecasting.
Build, backtest, and optimize quantitative trading strategies in Python using Backtrader with support for indicators, risk management, and reporting.
Build, backtest, and deploy cryptocurrency trading strategies using the vibetrading Python framework. Use when: (1) generating trading strategies from natura...
Use Robonet's MCP server to build, backtest, optimize, and deploy trading strategies. Provides 24 specialized tools for crypto and prediction market trading: (1) Data tools for browsing strategies, sy
A股模拟交易系统 - 数据爬取、存储、策略回测、模拟交易 / A-Share Paper Trading System - Data Fetch, Storage, Backtest, Simulation
Build financial models, backtest trading strategies, and analyze market data. Implements risk metrics, portfolio optimization, and statistical arbitrage. Use...
JoinQuant Quantitative Trading Platform — Provides A-share, futures, and fund data queries with event-driven strategy backtesting, supporting online research...
Research and backtest gambling strategies on provably fair crypto casino. Analyze Martingale, Kelly Criterion, D'Alembert, Anti-Martingale, Flat Bet strategi...
Create and manage AI-powered trading bots via natural language. Paper & live trading, portfolio monitoring, backtesting, stock quotes, and options chains.
为 crypto-hedge-backtest 启用并维护“真实执行驱动”的自动推进（cron）。当用户要求每N分钟自动推进、自动汇报阶段成果、排查 cron 持续报错、或将自动
Backtest trading strategies against historical market data with performance analytics and risk metrics
Trading strategy development sandbox. User describes trading intent in natural language, agent writes a Python backtest strategy and returns results.