Plan and assess backtests, which test trading rules against historical data. Examine sensitivity to rule changes, trading costs, and data bias, then use supplied performance metrics to generate a structured evaluation with reasons that block adoption.
- Define a backtesting plan for rule-based trading
- Test sensitivity to parameters and trading costs
- Investigate suspiciously strong backtest results
tradermonty/claude-trading-skills☆ 3.2KUpdated Oct 21, 2026
Assess how broadly US stock market gains are shared across stocks using public CSV data and optional charts. Produce English reports covering market conditions, trading signals, scenarios, and positioning for different investment timeframes.
- Checking how broadly US stocks are participating in a market rise
- Reviewing medium- to long-term market positioning
- Assessing short-term swing trading signals
tradermonty/claude-trading-skills☆ 3.2KUpdated Oct 21, 2026
Analyze chart images showing how broadly US stocks are participating in market trends. Assess medium-term conditions and short-term signals, then produce an English report with positioning guidance, alternative scenarios, and risks based on the visible data.
- Assessing the market cycle from an S&P 500 breadth chart
- Checking short-term signals in an uptrend stock ratio chart
- Comparing medium-term and short-term market signals
tradermonty/claude-trading-skills☆ 3.2KUpdated Oct 21, 2026
Screen US growth stocks with William O'Neil's CANSLIM method, which evaluates seven factors including earnings, price strength, trading volume, and market direction. Receive ranked candidates with composite scores, factor breakdowns, market warnings, and data quality notes.
- Find US stocks with earnings growth and price momentum
- Compare a chosen list of stocks using CANSLIM scores
- Screen a sector-focused stock list
tradermonty/claude-trading-skills☆ 3.2KUpdated Oct 21, 2026
Combine three reports on crowded positions, failed reactions to news, and weekly price reversals into one trading setup status. Identify missing or invalid evidence and determine whether the setup is ready for planning.
- Combine three contrarian strategy reports
- Check which confirmations are still missing
- Find stale or inconsistent input reports
tradermonty/claude-trading-skills☆ 3.2KUpdated Oct 21, 2026
Screen futures markets for unusually crowded speculative positions using COT reports, which track traders’ holdings. Compare three-year and 26-week positioning measures, produce ranked reports, and identify markets for further contrarian research without generating trade signals.
- Finding futures markets with crowded speculative positions
- Checking positioning in a specific futures market
- Reviewing weekly changes in speculative holdings
tradermonty/claude-trading-skills☆ 3.2KUpdated Oct 21, 2026