openclaw-lse-trading-agent_skill

Overview

This skill is a London Stock Exchange (FTSE 350) trading analysis agent that screens stocks, runs technical indicator suites, fetches news for sentiment analysis, and synthesises signals into trade recommendations with built-in risk management. It combines indicators (RSI, MACD, Bollinger Bands, EMA crossovers, ATR, VWAP, OBV), headline sentiment, position sizing rules, and backtesting to produce actionable outputs.

How this skill works

The agent fetches price history and news, computes technical indicators for each ticker, and evaluates signal flags (golden/death crosses, overbought/oversold, MACD and Bollinger conditions, VWAP/OBV context). It reads headlines and provides a bullish/neutral/bearish sentiment assessment. Signals are weighted into a composite score and validated against risk rules (half-Kelly sizing, ATR stops, sector exposure, drawdown circuit breakers) before producing recommendations.

When to use it

• Screen the FTSE 350 for shortlists before trade research or idea generation.
• Run a deep-dive analysis on a single LSE ticker to get a structured technical + sentiment verdict.
• Backtest the composite strategy on historical data to evaluate edge and risk metrics.
• Validate proposed trades and compute recommended position size and stop levels.
• Monitor portfolio exposure, P&L, and sector concentration for risk control.

Best practices

• Start scans with the top-ranked candidates and only deep-dive the top 4–5 by composite score.
• Always read the fetched headlines and provide your own sentiment assessment before acting.
• Respect risk rules: max 2% portfolio risk per trade, sector cap 25%, halting new trades after 15% drawdown.
• Use ATR-based stops and include SDRT and slippage in cost calculations for UK equities.
• Backtest any parameter changes and compare against buy-and-hold benchmarks before deployment.

Example use cases

• Run a weekly FTSE 350 scan to surface momentum and trend candidates for a watchlist.
• Perform /lse-analyze on a single ticker to get a structured trade verdict: Trend, Momentum, Volatility, Volume, Sentiment, Verdict.
• Backtest a candidate stock’s composite strategy over five years to review Sharpe, drawdown, and win rate.
• Validate a proposed buy by computing half-Kelly position size, ATR stop, and total cost including SDRT.
• Audit portfolio exposure to identify sector concentration and positions near stop-loss thresholds.