Trend pullback: reclaim within an explicit filter
In a rising market, does a close back above the 20-period average after a pullback offer a better entry than chasing strength? A long-only, testable rule set.
Research status: untested hypothesis. No backtest, paper or live results exist. Every threshold, period, R value and risk fraction is an untested candidate parameter, not a recommendation.
The idea
Buying strength after a big move often means buying late. Buying a falling price means guessing the bottom. This playbook asks whether waiting for a dip that is then reclaimed, inside a trend defined by an explicit filter, gives a cleaner entry and a clearer stop than either. It’s a definition to test, not evidence that trends persist.
IF–THEN rules
Moving averages (SMA) use completed 1-hour closes only. No intrabar signals.
- Trend filter: close above SMA(50), and SMA(50) higher than it was 5 bars ago.
- Pullback and reclaim: the previous bar closed at or below SMA(20) and this bar closed above SMA(20).
- No breakdown: this bar’s low is above the lowest low of the previous 20 bars.
- THEN enter at the next bar’s first executable price, if all shared checks pass.
- Stop: lowest low of the last 5 bars minus max(2 ticks, 0.1% of the signal close). Frozen.
- Target: highest high of the 20 bars before the signal, frozen. Net reward must be at least 2R after costs. If there isn’t room, there’s no trade; don’t invent a further target.
- Invalidation exit: a completed close below SMA(50) exits at the next bar’s open.
- Time stop: exit after 24 bars if nothing else has triggered.
- The stop is live intrabar the whole time and takes priority over any scheduled exit. No adding, no trailing-stop reinterpretation.
When NOT to trade
- Chop: price crossed SMA(20) in alternating directions 4 or more times in the last 10 closes.
- Target at or below entry, or costs eat the room to 2R.
- Any shared no-trade filter fails.
- Falling markets: this is long-only. A short version is a separate hypothesis that would need its own product and risk research.
Hypothetical example (made-up prices)
| Item | Value |
|---|---|
| SMA(50) rising, close above it | ✓ |
| Prior close 49.80 vs SMA(20) 49.90; signal close 50.30 vs SMA(20) 49.95 | Reclaim ✓ |
| Entry (next open) | 50.35 |
| 5-bar low 49.40 → stop 49.40 − 0.05 | 49.35 |
| Prior 20-bar high (target) | 53.00 |
| Risk per unit incl. 0.06 costs | 1.06 |
| Net reward per unit | 2.59 → about 2.4R, passes |
If it works: price reaches 53.00 within 24 bars: about +2.4R. If it fails: price slides through 49.35 intrabar and fills at 49.30: about −1.05R. Or neither happens and the 24-bar time stop exits wherever price is, often a small win or loss.
Ratigan Capital rules in this playbook
- Early Is Wrong: buying the dip before the reclaim close is a different (and untested) strategy.
- Never Average Down: if the reclaim fails, take the stop. Don’t buy more lower.
- Patience as a Position: most hours produce no signal.
- Price Is the Only Truth: the averages are just descriptions of price; a lagging “rising” SMA can still be rising during a sharp drop, which is why the stop is the stop.
Why it can fail
A reclaim can fail right as the trend ends. The fixed target can cap a strong trend, and the filters may leave too few trades to learn anything. Moving-average rules have been studied for decades; data-snooping across many tried rules can make one look good by luck (see Sullivan, Timmermann & White, 1999).
Pre-trade checklist
- Trend filter true on completed closes?
- Reclaim close happened, and no 20-bar breakdown?
- Not in chop; shared filters clear?
- Stop, target, time stop and size written; net ≥ 2R?
Sources
Keep going
- Core rules for every playbook: risk protocol, no-trade filters, mindset
- Risk calculator: size a position from your stop
- Lesson: Patience as a position: waiting for confirmation
- Lesson: Never average down: why early is wrong
- Lesson: Risk per trade, R-multiples, and expectancy
- All lessons · Research standard · Disclaimer
Education only, not financial advice. This is a personal record of one trader’s decisions, including the mistakes. Trading crypto carries a real risk of losing money. Full disclaimer.