pullback-trading

name	pullback-trading
description	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).
license	Apache-2.0
metadata	{"author":"ske-labs","version":"4.0"}

Pullback Trading

Enter established trends during temporary retracements for optimal risk/reward.

Identification

Pullback Levels

Level	Depth	Trend Strength
20/50 EMA	Dynamic	Strong (shallow)
Normalized retracement band	Shallow/moderate/deep	Calibrate by instrument and regime
Previous S/R flip	Variable	Structure-based

Entry Confirmation (require before entering)

• Reversal candlestick pattern (hammer, engulfing)
• Momentum indicator turning in trend direction
• Volume decrease during pullback, increase on resumption

Workflow

1. Confirm Trend on Higher Timeframe

get_indicators returns one indicator per call — fetch each separately:

get_candles(symbol=<symbol>, exchange=<exchange>, interval=<htf_interval>, count=120)
get_indicators(indicator_code="ema_21", symbol=<symbol>, exchange=<exchange>, interval=<htf_interval>, count=120)
get_indicators(indicator_code="ema_50", symbol=<symbol>, exchange=<exchange>, interval=<htf_interval>, count=120)

Then measure a five-bar EMA50 slope and normalize it by price or ATR. Five bars is a modeling choice, not a canonical horizon:

execute python3 -c "ema50=[<...>]; s=(ema50[-1]-ema50[-5])/ema50[-5]*100; print(f'htf_ema50_slope_pct={s:.3f}')"

Define bullish and bearish stack rules plus slope thresholds from training data, then freeze them. Track bars since the trend trigger as a candidate maturity feature; do not label the first pullback highest probability without held-out evidence.

2. Get Price Data and Identify Pullback

get_candles(symbol=<symbol>, exchange=<exchange>, interval=<primary_interval>, count=60)

Use an objective swing rule for HH/HL or LH/LL structure. Measure retracement as a continuous percentage of the prior impulse and test bands; moving averages, prior swings, and Fibonacci coordinates are candidate reference levels.

3. Check Momentum at Pullback Level

get_indicators(indicator_code="rsi_21", symbol=<symbol>, exchange=<exchange>, interval=<primary_interval>, count=20)
get_indicators(indicator_code="macd_fast", symbol=<symbol>, exchange=<exchange>, interval=<primary_interval>, count=20)

Cite RSI / MACD as a 3-5 value progression (latest value alone is folklore):

• Uptrend pullback example: RSI21 47.8 (62.4 → 55.1 → 49.0 → 47.8). Define any RSI band and MACD sign rule before testing; neither 50 nor a Fibonacci ratio is a natural boundary.
• Downtrend pullback: mirror — RSI pulling up from low extreme toward 50, MACD histogram shrinking from negative toward zero but NOT crossing into positive.

4. Mark Entry Zone

draw_chart_analysis(action="create", drawing={
    "type": "demand",
    "points": [
        {"time": <pullback_start>, "price": <fib_38>},
        {"time": <pullback_end>, "price": <fib_62>}
    ],
    "options": {"text": "Pullback Entry Zone (38-62%)"}
})

5. Report to Orchestrator

Trend direction and strength, pullback depth (which Fib level), confirmation signals, entry level, stop below pullback low, target at previous swing high/low.

Evidence and Validation

• Treat the setup as a testable hypothesis, not a prediction. Define thresholds, entry, invalidation, and exit before evaluating outcomes.
• Calibrate on the same instrument, venue, session, and timeframe. Use closed candles and a held-out or walk-forward sample; record every variant tried.
• Include spread, fees, slippage, borrow or funding, partial fills, and latency. Reject the setup when net expectancy is not positive or depends on one narrow parameter.
• Return observed inputs, missing data, cost assumptions, entry, invalidation, exit, and a valid, watch, or no-trade status.
• Research basis: The technical-analysis evidence review finds mixed results and recurring data-snooping and transaction-cost problems; calibrate pullback rules rather than treating ratios as natural laws.

Key Rules

• Require the predeclared trend and retracement conditions before evaluating an entry.
• Define reversal confirmation numerically and use a closed bar.
• Treat deeper retracement as a continuous risk feature, not a law at 61.8%.
• Put invalidation beyond the structural pullback extreme plus a calibrated volatility/tick buffer, then resize the position.
• Test trend age and pullback sequence out of sample rather than assuming the first is best.
• Compute EMA slope via execute; do NOT call ADX / DMI / Supertrend (API-billed, not in the free whitelist)

Related Skills

• momentum-trading -- pullbacks occur within momentum moves
• breakout-trading -- test pullbacks to an objectively defined breakout level