Real-time futures market intelligence, GEX/options flow analysis, trading signals, paper trading, backtesting, and live execution via MCP. Covers ES, NQ, SPX...
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 guide for FinLab quantitative trading package. Use when working with trading strategies, backtesting, stock data, FinLabDataFrame, factor analy...
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.
World-class systematic trading research - backtesting, alpha generation, factor models, statistical arbitrage. Transform hypotheses into edges. Use when "bac...
--- 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.
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.
Connect your BlinkX account to view holdings, margins, and profile. Monitor markets with quotes, instrument search, and historical candles. Place and track orders, or backtest strategies and even run
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
Build, backtest, and optimize quantitative trading strategies in Python using Backtrader with support for indicators, risk management, and reporting.
JoinQuant Quantitative Trading Platform — Provides A-share, futures, and fund data queries with event-driven strategy backtesting, supporting online research...
Build financial models, backtest trading strategies, and analyze market data. Implements risk metrics, portfolio optimization, and statistical arbitrage. Use...
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
Create and manage AI-powered trading bots via natural language. Paper & live trading, portfolio monitoring, backtesting, stock quotes, and options chains.
67+ tools for fan token intelligence: whale flows, signal scores, sports calendar, backtesting, DEX trading, social sentiment. SSE transport with Bearer auth.
Trading strategy development sandbox. User describes trading intent in natural language, agent writes a Python backtest strategy and returns results.
Backtest, deploy, and monitor trading bots on Hyperliquid. Supports Grid, DCA, and Spot-Perp Arbitrage strategies across Native Perps, Spot markets (USDC/USDH), and HIP-3 sub-DEXes.
Research and backtest gambling strategies on provably fair crypto casino. Analyze Martingale, Kelly Criterion, D'Alembert, Anti-Martingale, Flat Bet strategi...