Analyze sector and industry performance charts to assess market cycle conditions and shifts in leadership. Compare weekly and monthly relative performance, then produce an English report with probability-based scenarios, positioning recommendations, and risks.
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Evaluate stocks reacting to earnings, raised forecasts, or other major events using news significance, price movement, and trading volume. Produce scored reports that distinguish first-day candidates from stocks needing further monitoring, including risk relative to the event-day low.
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Screen US-listed companies for growth at reasonable prices. Verify financial evidence, build earnings and cash flow forecasts, and assess debt, dilution, and industry cycles before ranking qualified candidates with supporting reports and an audit bundle.
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Calculate share counts for long stock trades using account size, acceptable loss, and entry and stop prices. Compare sizing methods and apply position or sector limits, with reports showing trade value and risk.
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Check planned manual trades against written entry rules, stop levels, position size, and risk limits. Use local loss history and market restrictions to produce a decision report and journal entries for later review.
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Review agent skills with repeatable automated checks and a separate LLM assessment of content and code. Combine both scores into JSON and Markdown reports, with concrete improvement items when the final score falls below 90.
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Assess crypto market conditions with six measures covering Bitcoin trends, altcoin participation, leverage, and momentum. Generate a 0–100 score and a market posture report using free public data or an offline snapshot, without API keys.
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Find stock pairs whose price relationship may return toward its historical average. Analyze correlation, test for a lasting statistical relationship, and measure current price gaps to produce pair candidates, entry and exit conditions, and position sizing guidance.
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Review trading strategy drafts against eight criteria, including the rationale for an advantage, overfitting to past data, sample size, and realistic execution. Produce a scored verdict, revision instructions, and eligibility for export to the next pipeline stage.
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Apply a repeatable dividend investing workflow to US stocks. Check regular dividend yield, growth, sector-specific safety, valuation, and corporate events, then prepare stock memos, staged limit-order plans, and a schedule for reviewing holdings.
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Group raw detection records into reusable concepts before designing strategies. The skill produces a YAML file with shared conditions, supporting evidence counts, hypotheses, signals that would invalidate them, and readiness flags for strategy drafting.
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Combine market breadth, economic conditions, sector trends, and institutional flows into a one-page equity allocation summary. Review a recommended allocation ceiling, growth-versus-value preference, market participation, action recommendation, and confidence level.
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Analyze quarterly institutional stock ownership using 13F filings, US regulatory holdings reports. Screen for substantial ownership changes and examine individual stocks, with reports covering major holders, concentration, historical trends, and data reliability.
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Check recorded trading losses and losing streaks against account-level limits to assess whether new trades should proceed. Generate a decision report with triggered rules, cooldown periods, and data-quality warnings using local records without external APIs.
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Analyze historical stock prices to measure how long declines from local peaks to troughs lasted and how deep they were. Generate interactive HTML histograms and statistical reports to compare correction durations across sectors and company sizes.
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Retrieve economic release schedules from FXMacroData and check event timing and importance. Use confirmed announcements to inform trade planning, position sizing, and follow-up reviews around inflation reports, employment data, and central bank decisions.
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Analyze stock and bond ratios, interest rate spreads, and sector rotation to assess structural market changes over a one to two year horizon. Receive a report explaining the current market state, transition signals, and portfolio positioning considerations.
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Find US-listed dividend growers with at least 1.5% yield, 12% annualized dividend growth, and RSI at or below 40, an indicator of recent price weakness. Rank candidates using dividend sustainability, financial quality, and price indicators.
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Turn VCP screening results, which identify narrowing price swings, into breakout trade plans. Calculate entry, stop-loss, target prices, and position sizes using worst-case entries, while applying portfolio risk limits and producing Alpaca-compatible order templates.
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Assess how broadly stocks participate in market moves using public CSV data. Combine six measures into a market health score from 0 to 100, with component breakdowns, changes across runs, and reports in JSON and Markdown.
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Turn daily market observations, unusual activity, and news reactions into structured clues for investigating trading opportunities. Export hints.yaml for later analysis, with optional ideas from a language model added through an external command or a prepared file.
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Check whether a market with heavily one-sided positioning moved against news that should have favored those traders. The skill tests price reactions statistically and produces a verdict with event evidence, including an insufficient-evidence result when needed.
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Collect financial news from the past ten days and assess its effects on US stocks and commodities. Rank events by market impact, compare actual price reactions with historical patterns, and produce an English report with sources.
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Calculate how many futures contracts fit a loss budget using trade direction, entry price, stop price, and contract specifications. Get contract counts, estimated loss at the stop, and reasons when the budget cannot support a trade.
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