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agent-trading-skills
ske-labs/agent-trading-skills
57 skills
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Skill
Installs
altcoin-rotation
Build and test survivorship-aware crypto rotation rankings. Use when allocating among BTC, ETH, and liquid altcoins with relative strength, breadth, liquidity, stress, turnover, and concentration cont
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arbitrage-trading
Screen execution-sensitive price differences across exchanges, pairs, spot, and derivatives. Use when evaluating synchronized spreads, triangular conversion paths, or basis trades after fees, depth, s
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bollinger-bands
Define and test Bollinger bandwidth, percent-b, squeeze, continuation, and mean-reversion rules. Use when measuring relative volatility and evaluating closed-band triggers without treating tags as sig
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breaker-blocks
Define and test breaker-block polarity-flip setups. Use when a previously labeled candle zone is crossed and later retested as support or resistance.
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breakout-trading
Define and test closed-bar consolidation breakouts. Use when measuring boundaries, normalized break buffers, relative participation, retests, invalidation, and net execution costs.
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candlestick-patterns
Define and test objective candlestick geometry. Use when labeling OHLC patterns, comparing body/wick rules, or evaluating a closed-bar entry with context and cost controls.
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channel-trading
Trade within ascending, descending, and horizontal channels. Use when range trading, riding trends with defined boundaries, or finding breakout setups.
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correlation-risk
Manage correlated positions to prevent concentrated exposure. Use when holding multiple positions, diversifying portfolio, or assessing total account risk.
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cup-and-handle
Define and test cup-and-handle breakout shapes. Use when measuring a rounded base, handle depth, lip break, retest, invalidation, and measured-move hypothesis without inferring accumulation.
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dca-strategy
Implement Dollar Cost Averaging for systematic long-term accumulation. Use when building positions over time, reducing timing risk, or accumulating during uncertainty.
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divergence-trading
Define and test regular or hidden divergence at objective pivots. Use when aligning RSI, MACD, Stochastic, MFI, or volume features to exact price-pivot timestamps without counting correlated indicator
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double-top-bottom
Trade double and triple top/bottom reversal patterns. Use when identifying trend exhaustion, finding reversal entries at key resistance/support, or confirming failed breakouts.
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drawdown-management
Manage account drawdowns with limits and recovery protocols. Use when protecting capital during losing streaks, implementing loss limits, or developing recovery plans.
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earnings-trading
Trade around earnings announcements for stocks. Use when positioning for earnings, trading post-earnings moves, or analyzing earnings-driven volatility.
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economic-calendar-trading
Plan scheduled macro-event risk from official calendars and point-in-time expectations. Use for FOMC, employment, inflation, GDP, or other releases requiring standardized surprise, component, revision
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fair-value-gaps
Detect and test three-candle fair-value-gap zones. Use when the user wants an objective wick-gap definition, retracement statistics, entry, invalidation, and cost-aware validation.
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fibonacci-trading
Measure Fibonacci retracement and extension coordinates over objective swings. Use when testing candidate pullback/target bands against non-Fibonacci controls rather than assuming special bounce level
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flag-pennant
Define and test flag or pennant continuation shapes. Use when measuring an impulse, consolidation, closed-bar break, invalidation, and measured-move hypothesis.
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funding-rate-trading
Evaluate venue-specific perpetual funding, basis, and delta-neutral carry. Use when normalizing funding history, stress-testing hedge/margin/exchange risks, or testing contrarian funding features.
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gap-trading
Identify and test opening-gap continuation or fade setups. Use when price opens away from the prior session and the user needs a normalized gap definition, catalyst context, entry, invalidation, and c
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head-and-shoulders
Define and test head-and-shoulders or inverse patterns. Use when measuring objective pivots, neckline breaks/retests, symmetry, invalidation, and measured-move outcomes.
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ichimoku-cloud
Calculate and test correctly shifted Ichimoku components. Use when evaluating price/cloud, TK-cross, Chikou, and cloud-state features without future leakage or confirmation-count scoring.
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insider-activity-trading
Parse and evaluate SEC insider filings as delayed contextual evidence. Use when analyzing Form 4 codes, holdings changes, footnotes, amendments, purchase/sale clusters, and 10b5-1 disclosures.
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kill-zones
Analyze intraday session seasonality and test time-window filters. Use when timing a strategy around exchange, London, New York, or Asian trading sessions with correct timezone and daylight-saving han
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leverage-management
Calculate effective leverage, margin, stress loss, and venue-specific liquidation state. Use when sizing derivatives or managing collateral, cross/isolated margin, funding, fees, and forced-liquidatio
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liquidity-zones
Mark candidate liquidity levels and test sweep/reversal behavior. Use when analyzing equal highs/lows, swing levels, round-number clustering, or stop-loss cascade risk without inferring hidden intent.
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macd-trading
Define and test MACD line, signal, histogram, zero-line, and divergence features. Use when evaluating closed-bar momentum/trend rules with explicit parameters, exits, regime context, and costs.
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market-correlation-trading
Measure time-varying cross-asset correlation, beta, lead-lag, and spread stationarity. Use when evaluating hedges, common factors, regime breaks, divergences, or convergence hypotheses.
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market-regime-detection
Identify current market regime (trending, ranging, squeeze, or volatile) to select appropriate trading strategies. Uses only no-cost indicators (EMA slope, BB Width, ATR Ratio, Donchian) — avoids API-
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market-structure-shift
Detect Break of Structure (BOS) and Change of Character (CHoCH) for trend analysis. Use when identifying trend reversals, confirming entry signals, or determining market bias direction.
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mean-reversion
Test whether a price or spread reverts toward a modeled center. Use when evaluating stationarity, half-life, z-score bands, regime breaks, time stops, and net execution costs.
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momentum-trading
Define and test short-horizon directional momentum setups. Use when measuring normalized return, regime, participation, breakout/pullback entry, exhaustion exit, and transaction costs.
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moving-average-crossover
Trade EMA/SMA crossover systems for trend following. Use when identifying trend changes, timing entries with momentum, or building systematic trading rules.
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multi-timeframe-analysis
Map context, setup, and execution states across fixed timeframes. Use when measuring normalized EMA slope, objective structure, closed-bar triggers, and aligned or conflicting states without hand-buil
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news-trading
Plan and evaluate trades around scheduled economic or corporate releases. Use when the user needs primary-source event data, standardized surprise measurement, scenario triggers, and execution-risk co
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on-chain-analysis
Analyze on-chain metrics with provider, entity-adjustment, revision, and normalization controls. Use when evaluating holder behavior, exchange flows, valuation ratios, or network activity as contextua
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optimal-trade-entry
Define and test the ICT Optimal Trade Entry retracement convention. Use when measuring whether a 62–79% pullback region adds value after an objectively defined impulse.
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order-blocks
Define and test ICT-style order-block candle zones. Use when labeling the last opposite candle before an objective displacement and structure break, without inferring hidden institutional orders.
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partial-profit-taking
Design and test partial-exit schedules against a single-exit baseline. Use when calculating weighted R outcomes, residual risk, target/stop order mechanics, fees, and partial-fill behavior.
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position-sizing
Calculate risk-based position sizes using fixed %, fractional Kelly, ATR-hybrid, or volatility methods. Use when determining trade size, managing account risk, adjusting for correlated positions, or s
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premium-discount
Measure price location within a chosen swing range using ICT premium/discount terminology. Use when testing whether above/below-midpoint location adds value to an existing directional setup.
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pullback-trading
Enter trends on price retracements to key levels. Use when trading with the trend, finding high R:R entries, or timing entries in established trends. Trend confirmation via EMA slope (no ADX).
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range-trading
Define and test trades near objective range boundaries. Use when measuring range width versus ATR/costs, rejection triggers, breakout invalidation, and target logic without inferring accumulation.
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risk-reward-ratio
Calculate long/short planned R-multiples and net expectancy. Use when evaluating executable entry, stop, target, win/loss distribution, costs, gaps, and uncertainty without treating R:R as trade quali
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rsi-divergence
Define and test RSI divergence at confirmed price pivots. Use when aligning exact pivot timestamps, spacing, equality tolerances, oscillator zones, closed-bar entry, and invalidation.
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scalping-strategy
Evaluate and plan very short-horizon trades in highly liquid markets. Use when the user needs an executable scalp with latency, spread, fee, slippage, and capacity controls.
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sector-rotation
Rotate between sectors based on economic and market cycles. Use when optimizing sector allocation, understanding cyclical trends, or positioning for macro shifts.
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sentiment-analysis
Build source-dated, deduplicated sentiment evidence or a calibrated sentiment model. Use when separating facts, interpretations, claims, novelty, horizon, and uncertainty across filings, news, analyst
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stochastic-trading
Define and test Stochastic percent-K/percent-D states, crosses, and divergence. Use when calibrating oscillator bands, trend interactions, closed-bar entries, exits, and turnover.
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stop-loss-strategies
Place strategic stop losses using structure, ATR, or volatility methods. Use when protecting capital, defining trade invalidation, or managing downside risk.
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supply-demand-zones
Define and test supply/demand-style base-and-departure candle zones. Use when planning support/resistance hypotheses without inferring unfilled institutional inventory.
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template
What this skill does and when to use it. Use when [trigger condition 1], [trigger condition 2], or [trigger condition 3].
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trailing-stop
Lock in profits with dynamic trailing stop strategies. Use when riding winner trends, protecting open profits, or managing exits systematically.
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triangle-patterns
Trade ascending, descending, and symmetrical triangle patterns. Use when anticipating breakouts from consolidation, measuring potential move targets, or timing entries on compression breakouts.
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volume-profile-trading
Build and test volume-at-price profiles using POC, value area, and nodes. Use when the user has trade/tick data or needs a clearly disclosed OHLCV approximation.
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vwap-trading
Calculate and test session or anchored VWAP setups. Use when benchmarking execution or evaluating price distance from a volume-weighted average with explicit session and volume-data rules.
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wedge-patterns
Define and test rising or falling wedge resolutions. Use when fitting same-direction converging boundaries and evaluating breakout, retest, invalidation, and measured-move rules.
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