商务技能

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.

中文简介正在准备中。当前显示英语简介。

• Review generated trading strategy drafts
• Check for overfitting and too few trade examples
• Identify revisions needed before export

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.

中文简介正在准备中。当前显示英语简介。

• Checking how broadly US stocks are participating in a market rise
• Reviewing medium- to long-term market positioning
• Assessing short-term swing trading signals

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.

中文简介正在准备中。当前显示英语简介。

• Combine three contrarian strategy reports
• Check which confirmations are still missing
• Find stale or inconsistent input reports

Assess near-term U.S. equity market top risk using six indicators, including selling pressure, weakening leaders, and defensive sector rotation. Generate a heuristic score, risk zone, and reports to inform reviews of equity exposure over two to eight weeks.

中文简介正在准备中。当前显示英语简介。

• Assessing correction risk over the next two to eight weeks
• Tracking accumulated institutional selling signals
• Checking defensive rotation and weakening market leaders

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.

中文简介正在准备中。当前显示英语简介。

• Find US stocks with earnings growth and price momentum
• Compare a chosen list of stocks using CANSLIM scores
• Screen a sector-focused stock list

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.

中文简介正在准备中。当前显示英语简介。

• Find stocks with continued strength after earnings gaps
• Detect weekly pullbacks and breakouts
• Further screen earnings-trade-analyzer results

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.

中文简介正在准备中。当前显示英语简介。

• Checking major economic releases before planning a trade
• Reviewing event risk around central bank decisions
• Adjusting entry timing and position size around releases

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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• Calculating share counts from an acceptable loss budget
• Comparing sizes using ATR, a measure of price movement
• Evaluating allocation from historical wins and losses

Screen stocks after earnings announcements using five factors: price gaps, prior price trends, trading volume, and positions relative to two moving averages. Compare candidates with scores out of 100, A–D grades, and JSON and Markdown reports.

中文简介正在准备中。当前显示英语简介。

• Comparing stocks after recent earnings announcements
• Screening candidates by lookback period and market capitalization
• Reviewing each stock’s strongest and weakest scoring factors

Turn daily US stock prices, trading volume, and market hypotheses into prioritized research tickets for buying strategies. Export supported candidates as strategy files and check compatibility before handing them to trade-strategy-pipeline for historical testing.

中文简介正在准备中。当前显示英语简介。

• Turning market observations into reproducible research tickets
• Finding strategy candidates in daily price and volume data
• Exporting supported ideas as strategy.yaml and metadata.json

将日语或英语描述的选股条件转换为FinViz筛选链接，组合股息率、盈利增长、市值和股价走势等条件，并支持主题筛选、排序及仅输出链接。

• 寻找高股息且盈利增长的小盘股
• 筛选估值偏低的科技股
• 寻找超卖的大盘股

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.

中文简介正在准备中。当前显示英语简介。

• Checking a manual entry before placing an order
• Reviewing revenge-trading risk after a loss
• Checking actual risk against the planned limit

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.

中文简介正在准备中。当前显示英语简介。

• Assessing the current structural market state
• Checking whether gains are spreading beyond mega-cap stocks
• Reviewing asset allocation over a one to two year horizon

Batch-test MetaTrader 5 trading robots across configured symbols, assess profitability and drawdown, and optimize parameters through three rounds. Produce ranked results and selected robots with saved settings, with checkpoints that support resuming interrupted testing.

中文简介正在准备中。当前显示英语简介。

• Screening a folder of MetaTrader 5 trading robots
• Comparing robot performance across symbols
• Optimizing parameters and selecting finalists

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.

中文简介正在准备中。当前显示英语简介。

• Reviewing equity allocation at the start of the trading week
• Checking allocation limits before opening stock positions
• Reconciling conflicting market signals

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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• Planning entries, stop-losses, and profit targets for VCP candidates
• Calculating position sizes from account size and risk limits
• Checking total portfolio risk and sector exposure

Test a trading rule against historical price and volume data with manifoldbt. Calculate completed-trade statistics, including win rate, average gains and losses, and maximum drawdown, while accounting for costs and preparing measured inputs for backtest-expert.

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• Measuring a trading rule against historical data
• Calculating win rate and average gains and losses
• Testing results with fees and slippage

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.

中文简介正在准备中。当前显示英语简介。

• Combining results from several investment analysis skills
• Prioritizing investment ideas for further research
• Reviewing conflicting sector or trading signals

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.

中文简介正在准备中。当前显示英语简介。

• Finding dividend growers during price pullbacks
• Comparing dividend sustainability and financial health
• Screening with custom yield, growth, and RSI thresholds

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.

中文简介正在准备中。当前显示英语简介。

• Preparing daily or weekly market briefings
• Reviewing global market conditions before investing
• Assessing investor appetite for risk

Compare options strategies using theoretical prices, profit and loss simulations, and sensitivity measures that show how prices respond to market changes. Explore earnings scenarios, maximum losses, and position sizes with manual inputs or optional FMP data.

中文简介正在准备中。当前显示英语简介。

• Comparing covered calls and protective puts
• Estimating spread profits, losses, and breakeven prices
• Exploring volatility changes around earnings announcements

Analyze sector rotation, the shift in market leadership between sectors, using public CSV data. The skill ranks sectors, flags overbought or oversold conditions, and produces an English report with market cycle estimates and probability-based scenarios.

中文简介正在准备中。当前显示英语简介。

• Comparing leading and lagging market sectors
• Assessing cyclical versus defensive sector strength
• Identifying overbought or oversold sectors

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.

中文简介正在准备中。当前显示英语简介。

• Reviewing earnings announcements for the next seven days
• Checking announcements before market open or after close
• Focusing on technology companies or large companies

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.

中文简介正在准备中。当前显示英语简介。

• Screen US dividend stocks using consistent criteria
• Check dividend safety and valuation by sector
• Prepare one-page stock memos with supporting sources