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Found 10 Skills
Expert in quantitative finance, algorithmic trading, and financial data analysis using Python (Pandas/NumPy), statistical modeling, and machine learning.
Trading API de Alpaca: órdenes, posiciones, cuenta. Paper trading y live trading de acciones, crypto y opciones.
Use when the user mentions DhanHQ, Dhan API, or wants to trade on Indian exchanges (NSE, BSE, MCX). Triggers for: place, modify, or cancel stock/F&O/commodity orders on Dhan; fetch portfolio holdings or positions; get live or historical market data; access option chains with Greeks; check fund limits or margin; build any trading automation for Indian markets; resolve NSE/BSE instrument IDs; stream live WebSocket market feeds or order updates. Also trigger for general questions about programmatic trading on Indian exchanges if Dhan is the user's broker.
Hummingbot trading bot framework - automated trading strategies, market making, arbitrage, connectors for crypto exchanges. Use when working with algorithmic trading, crypto trading bots, or exchange integrations.
KESTREL v1.0 — XYZ Macro Breakout Rider. Detects significant hourly price breakouts on commodities, precious metals, indices, and high-volume equities 24/7 on Hyperliquid. Rides the macro trend. Price action is the primary signal; Smart Money is confirmation only. Conservative 3-5x leverage.
Cryptofeed - Real-time cryptocurrency market data feeds from 40+ exchanges. WebSocket streaming, normalized data, order books, trades, tickers. Python library for algorithmic trading and market data analysis.
NautilusTrader algorithmic trading platform reference. NautilusTrader 量化交易框架参考。 Use this skill when: - Working with NautilusTrader API (使用 NautilusTrader API) - Implementing trading strategies (实现交易策略) - Running backtests (运行回测) - Configuring data feeds and adapters (配置数据源和适配器) - Debugging NautilusTrader code (调试 NautilusTrader 代码) - Understanding trading concepts like positions, orders, and fills (理解持仓、订单、成交等概念) Keywords: NautilusTrader, strategy, backtest, trading, adapter, Binance, quantitative, 量化, 策略, 回测
Regulator-grade feature attribution for any LSTM/Transformer signal — single-entry PageRank ranks the top-K features that drove the prediction (ADR-126 Phase 6, ADR-123 single-entry PR)
World-class trade execution - minimize market impact, optimize order routing, reduce slippage. The difference between backtest and live is usually execution. Use when "execution, slippage, market impact, order routing, TWAP, VWAP, iceberg, fill rate, best execution, " mentioned.
VectorBT backtesting expert. Use when user asks to backtest strategies, create entry/exit signals, analyze portfolio performance, optimize parameters, fetch historical data, use VectorBT/vectorbt, compare strategies, position sizing, equity curves, drawdown charts, or trade analysis. Also triggers for openalgo.ta helpers (exrem, crossover, crossunder, flip, donchian, supertrend).