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.
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.
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.
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.
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.
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.
Track major US stock indexes for Follow-Through Days, price and volume signals used to assess a market recovery after a correction. Receive a quality score, suggested equity exposure, key price levels, and monitoring of subsequent market health.
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.
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.
Coordinate trading strategy research from market data or candidate records through idea development, drafting, review, and revision. Export qualifying strategies, keep an execution record, or preview the workflow without exporting results.
Review an Alpaca investment account using current holdings and balances. Analyze allocation, diversification, risk, performance, and major positions, then produce a Markdown report with specific, prioritized recommendations for adjusting the portfolio.
Turn trading hypotheses into concrete strategy drafts with multiple variants and a chosen risk profile. Adjust exit settings by hypothesis type, then optionally export YAML tickets, structured files that a downstream tool can validate and process.
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.
Monitor QQQ and SPY for falling prices accompanied by higher trading volume. Track active warning days, classify market risk into four levels, and generate daily reports suggesting TQQQ or QQQ exposure adjustments without executing trades.
Screen US stocks for signs that a sharp rally may be exhausting. Build conditional short-selling plans, check borrowing and trading restrictions, and evaluate five-minute price bars to report triggered entries, stop levels, and share counts without sending orders.
Turn a news headline into three investment scenarios covering the next 18 months. Analyze direct and wider effects on sectors and US-listed stocks, then incorporate a second agent’s critical review into an English report.
Fetch upcoming central bank decisions and economic releases, then organize them by date with previous readings, forecasts, and market impact assessments. Filter events by country, importance, or type to prepare an English calendar report.
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 outputs from multiple investment analysis skills into a ranked research shortlist. Apply adjustable weights, merge duplicate findings, and flag conflicting views while retaining source references in JSON and Markdown reports.
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.
Screen stocks that gap up after earnings for continued price movement, known as PEAD. Analyze weekly candles for pullbacks and breakouts, then report candidate stages, setup scores, liquidity, and entry, stop, and target levels.
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.
Build a calendar of upcoming US stock earnings for companies worth over $2 billion. Organize announcements by date and release timing, with earnings per share and revenue estimates in a Markdown report.
Analyze global stocks, currencies, commodities, and economic indicators to produce market briefings. Reports summarize trends, sector flows, upcoming events, and whether investors are favoring riskier assets or moving toward safer ones.
Is this your account? Link GitHub to bring it onto your creator page (Japanese)