Series disclaimer: Educational content only, not financial advice. Most retail day traders lose money; never risk funds you cannot afford to lose entirely.
Part 3 established the scoring system: expectancy in R-multiples, proven over many trades. This part covers what you actually trade — strategies — and, more importantly, the process that separates a strategy from a superstition. Fair warning: the process is the product here. The setups below are teaching examples, not signals to automate tomorrow.
What an "edge" actually means#
An edge is a repeatable condition under which outcomes skew positive after costs. Not a secret pattern; a statistical tendency with an economic reason behind it. Every durable edge answers why does this mispricing exist, and who's on the other side paying me? — momentum exists because information spreads through populations gradually; mean reversion at extremes exists because forced flows (stop-outs, margin calls) overshoot fair value temporarily.
If you can't articulate why your setup should work, you don't have a strategy — you have a pattern-matching habit. That test alone disqualifies most of what circulates as "strategies."
Three classic setups, taught honestly#
1. Trend-pullback continuation#
Idea: trends persist longer than expected (Part 2); entering with the trend on a temporary pullback buys participation at discounted risk.
- Context: clear higher-highs/higher-lows structure on the timeframe above.
- Trigger: price pulls back to prior resistance-turned-support or a rising moving average, then shows rejection (a candle closing back in trend direction).
- Stop: below the pullback low — where "the trend resumed" thesis is wrong.
- Target: prior swing high or better; partial exits at 1R–2R are common practice.
- Failure mode: pulling back into a trend that has already ended. The stop handles this; the journal counts it.
2. Range fade at extremes#
Idea: in sideways markets, prices oscillate between respected boundaries; fading (betting against) moves at the edges harvests the oscillation.
- Context: confirmed range — at least two touches of each boundary without breaks.
- Trigger: price reaches the boundary zone and rejects (wick-heavy candles, fading volume).
- Stop: just beyond the range edge plus buffer — a genuine breakout invalidates everything.
- Failure mode: ranges break, and breakouts near boundaries are violent precisely because stops cluster there. This setup dies gracefully only if the stop is sacred.
3. Breakout with confirmation#
Idea: when a well-watched level finally breaks, trapped traders on the wrong side must act, fueling follow-through.
- Context: tight consolidation against major level, volume contracting before expansion.
- Trigger: decisive close beyond the level with volume expansion — not a wick poke.
- Stop: back inside the old range; failed breakouts reverse hard and fast.
- Failure mode: the fakeout. Breakouts fail often enough that this is strictly a positive-expectancy play only in trending conditions with genuine volume confirmation — and even then expect streaks of failures.
Notice all three share Part 3's skeleton: defined invalidation, structural stop, R-based targets. Setups are packaging; risk control is content.
Deep dives: each of these strategies (plus three more) now has its own complete ruleset post — Trend Pullback, Range Fade, Breakout & Failed Breakouts, Opening Range Breakout, VWAP Strategies, and Gap and Go.
Indicators: tools, not oracles#
Useful defaults once price reading is solid:
- Moving averages (20/50-period): visualize the trend everyone's watching; pullback entries often coincide with them because attention makes them semi-self-fulfilling.
- RSI (14): flags momentum stretch (>70 / <30). In ranges it marks fade zones; in strong trends it stays pinned at extremes — which is information too ("don't short strength").
- Volume: the confirmation layer from Part 2 — breakouts need it, exhaustion warns by it.
Rule of thumb: one trend tool, one momentum tool, volume. More indicators don't add information — they add contradiction, since they're all derivatives of the same price.
Backtesting: earning the right to lose small#
A strategy is a hypothesis; testing is how hypotheses survive contact with data:
- Manual replay: open historical charts, walk bar-by-bar, record every signal your rules generate — entry, stop, target, R-outcome. Tedious and irreplaceable; you learn the setup's texture while collecting data.
- Minimum sample: ~100 trades before trusting any statistics. Twenty trades prove nothing but your mood.
- Honest costs: subtract realistic spread + commissions per round trip from every trade. Many beautiful paper edges die exactly here — especially the fast-trading kinds ahead in Parts 5–6.
- Compute expectancy (Part 3 formula). Negative → revise or discard. Positive → proceed to forward-testing.
- Paper-trade live for another meaningful sample, because real-time decisions differ from replay comfort. Then — and only then — go live at minimum size, where slippage and emotion join the experiment.
The whole path — backtest → simulate → micro-size live — typically spans months. That timeline isn't caution theater; it's the tuition structure. Paying it in screen time instead of capital is the entire advantage a disciplined beginner has.
Journaling: the compounding mechanism#
Record every trade: setup, screenshot, entry/exit reasoning before outcome is known, emotional state, R-result. Weekly review questions: Which setup carries my expectancy? Am I taking trades outside my definitions? Do losses follow specific states (revenge, boredom)? The journal converts experience into adjustments; without it, years of trading compress into repeated first mistakes.
Next: Part 5 — Day Trading Mechanics: sessions, preparation, and executing under speed.
