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ES Stack

A 2-strategy ES pack: B12_01 Weak Close Dip Buy + B8_03 Two-Day Slide Dip Buy — the lowest-overlap pair (31%) in the ES search. Four more ES strategies are offered as alternates.

Last validated: 2026-10-16 (baseline) · weekly validation · billing not open: join the waitlist.

Honest framing: the ES strategies are really one dip-buy engine with different filters. They enter at the same two decision bars (about 08:00 and 10:00 PT), hold to the close and take at most one trade a day, so only one of them can be in a trade on any day. Stacking all six is worse than B12_01 alone (+$30,410 vs +$45,952; drawdown $14,168 vs $6,378). The value of an ES stack is alternative filters and more days — not diversification. The pair shown was chosen after searching 57 subsets on the same window; it is not a prediction.
$52,740
Net profit (backtest)
-$10,378
Max drawdown (closed-trade)
5.08×
Net ÷ closed-trade max DD
2.06
Profit factor
48.8%
Win rate
82 of 97
Trades taken / entry setups
31%
Avg entry-day overlap
2024-09 → 2026-09
Test window
$30,725 PF 2.05
Year 1 (exits before 2025-09-01)
$22,015 PF 2.06
Year 2 (exits from 2025-09-01) — 41.7% of the profit

Set: ES Stack pack: B12_01 > B8_03 (lowest overlap). One position at a time, earliest entry wins; closed-trade basis; backtest, hypothetical, in-sample. Best non-overlapping ES set: both years PF about 2.05. Still one dip-buy engine with different filters.

Stack members

StrategyMkt / TFNetPFTradesMax DD (TV)Net ÷ DDYear 1 net / PFYear 2 net / PF
ES Weak Close Dip Buy (B12_01) Tier A PassES 1h$45,952.503.16242-$6,5057.06×$28,080 / 2.48$17,872.50 / 8.75
ES Two-Day Slide Dip Buy (B8_03) Tier A WatchES 30m≈$40,1002.1455≈-$9,1004.4×$32,095 / 2.95$7,992 / 1.43

Max DD is TradingView's headline figure per 1 full-size contract (≈ = rounded 'about' value); year splits are from the saved trade lists (net / PF). Mechanics: one position at a time, first come first served (ES: all strategies share the same two decision bars); priority only breaks ties.

Alternates (swap-in filters, not extra diversification)

These pass the bar but overlap B12_01 heavily; adding them behind B12_01 mostly takes leftover days. B12_01 + B12_03 is the best-PF option (PF 2.56, DD $7,872, 55 trades, 64% overlap) but B12_03 is Tier B (1h only, 39 trades).

StrategyMkt / TFNetPFTradesMax DD (TV)Net ÷ DDYear 1 net / PFYear 2 net / PF
ES RSI2 Next-Day Dip Buy (B3_04) Tier A WatchES 1h$44,7651.73592-$10,6304.21×$25,132 / 1.88$19,042 / 1.59
ES ATR-Scaled Drop Dip Buy (B8_02) Tier A WatchES 1h≈$55,7002.2386≈-$9,1006.1×$42,858 / 3.49$12,705 / 1.45
ES Ten-Day Depth Pullback (B8_04) Tier A PassES 1h≈$47,8002.258≈-$10,4004.6×$29,285 / 2.24$18,525 / 2.14
ES Two-Day Composite IBS Dip Buy (B12_03) Tier B · fragile FlaggedES 1h$59,7053.78839-$9,4906.29×$40,985 / 5.5$18,720 / 2.52

Combined sets tested

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What the Instrument Stack includes

  • Written rules for every member strategy; follow-along posts with a skipped-setup log
  • Weekly validation report; monthly stack update
  • Discord role for this stack
Read this first. Backtest only — no live or forward results. One 2-year window (2024-09-23 to 2026-09-23), a strongly rising market, and the strategies were selected on the same data (selection bias). Profit skews to year 2. Fills assume entry at bar close. No robustness checks (neighbor timeframes, parameter nudges) have been completed yet. Tier B strategies are flagged fragile. Expect live results to be worse.
Risk disclosure. Futures trading involves substantial risk of loss and is not suitable for every investor. All strategy results shown are hypothetical / backtested and have inherent limitations: they do not reflect actual trading and are designed with the benefit of hindsight. There are no live or forward results. Past performance does not guarantee future results. No guarantee of profit is made or implied. Content is for education only and is not financial, investment or trading advice. Stacked Edge is not a registered investment advisor or commodity trading advisor. You are solely responsible for your own trading decisions.