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Found 67 Skills
Calculate Value at Risk to estimate maximum portfolio loss at a given confidence level. Use this skill when the user needs to quantify downside risk, set risk limits, or report regulatory risk measures — even if they say 'worst case loss', 'portfolio risk', or 'how much could we lose'.
Revolut X grid trading strategy. Use when the user asks to "backtest a grid strategy", "optimize grid parameters", "run a grid bot", "grid trading", "dry run grid", or runs revx strategy grid commands. Grid run is a long-running background process.
Expert-level algorithmic trading, market systems, quantitative analysis, and trading platforms
Build financial models, backtest trading strategies, and analyze market data. Implements risk metrics, portfolio optimization, and statistical arbitrage. Use PROACTIVELY for quantitative finance, trading algorithms, or risk analysis.
Build and test Polymarket prediction market trading strategies for YES/NO token trading. Provides 6 tools: get_all_prediction_events (browse markets, $0.001), get_prediction_market_data (analyze price history, $0.001), create_prediction_market_strategy (generate code, $1-$4.50), run_prediction_market_backtest (test performance, $0.001). Trade on real-world events (politics, economics, sports, crypto). Currently simulation only (live deployment coming soon).
Quantitative trading expertise for DeFi and crypto derivatives. Use when building trading strategies, signals, risk management. Triggers on signal, backtest, alpha, sharpe, volatility, correlation, position size, risk.
Use to perform market backtests with PlausibleAI Backtester, including symbol discovery, strategy validation, strategy mining, and batch execution.
Use this skill whenever the user wants to paper trade, simulate trades, virtual trading, demo mode, practice trading, backtest strategies, test strategy performance, use paper money, manage a virtual portfolio, track simulated P&L, or do risk-free trading on Polymarket prediction markets. Also use when the user asks about their portfolio, positions, trade history, or performance report for paper trading. This is the core trading engine — it executes simulated trades against real live Polymarket prices with zero financial risk.
Master Moon Dev's Ai Agents Github with 48+ specialized agents, multi-exchange support, LLM abstraction, and autonomous trading capabilities across crypto markets
Build trading systems in the style of Renaissance Technologies, the most successful quantitative hedge fund in history. Emphasizes statistical arbitrage, signal processing, and rigorous scientific methodology. Use when developing alpha research, signal extraction, or systematic trading strategies.
TianQin SDK (tqsdk) - Python量化交易框架，用于期货/期权/股票交易策略开发、回测与实盘交易
Quantitative strategy generation and optimisation framework via Longbridge — create, modify, and backtest quant strategies: parameter grid search, walk-forward validation, overfitting detection (in-sample vs. out-of-sample), strategy combination (multi-strategy correlation diversification), Sharpe / Calmar ratio optimisation. Generates Python code frameworks for local execution. Triggers: "策略优化", "策略生成", "参数优化", "网格搜索", "回测优化", "过拟合", "walk-forward", "策略回测优化", "策略組合", "策略優化", "策略生成", "參數優化", "網格搜索", "回測優化", "strategy optimization", "strategy generation", "parameter optimization", "grid search", "overfitting", "walk-forward validation", "strategy backtest", "Sharpe ratio", "Calmar ratio".