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MarketSightAI
Category: Reversal
PRICE ACTION EMPIRICAL ENCYCLOPEDIA • 2015–2026

Double Bottom Reversal (DB) (pa-double-bottom)

Verified across 54 commodity and index futures contracts (2015–2026) under strict bar-by-bar causality: Double Bottom Reversal (DB) is a core Reversal setup with 2,814 historical trades across 32 varieties, achieving an empirical Profit Factor of 0.87 and mathematical expectancy of -0.15R per trade.

Profit Factor (PF)
0.87
Empirical Win Rate
25.2%
Avg Payoff Ratio
2.38:1
Expectancy (EV)
-0.15R
Half-Kelly Risk
0%
Best Variety
CZCE.TA (3.4x)
TACTICAL PRICE ACTION BLUEPRINT • AL BROOKS CANDLESTICK TRIGGER & RISK SCHEMATIC

Double Bottom Reversal (DB) (pa-double-bottom) Standard Candlestick Trigger & Risk Schematic

Practice pa-double-bottom on Live Replay Chart →
Double Bottom Support Baseline Neckline Breakout Benchmark Bottom 1 First Pivot Rally Consolidation Center Neckline Ceiling (High) Bottom 2 Retest Support DB Bull Signal Bar Neckline Breakout DB Measured Target (+2.5R) (+2.38R, Win 25.2%) DB Neckline Breakout Buy (+1 Tick) Double Bottom Low Stop (-1.0R) REVERSAL • PF 0.87 • BULLISH ── 20EMA Institutional Dynamic Baseline
AL BROOKS PRICE ACTION EXECUTION KEYS
  • ✓ Double Bottom Reversal (DB): twin retests of support establishing a concrete horizontal floor.
  • ✓ Bottom 2 frequently stages a spring trap, absorbing residual supply and validating the base.
  • ✓ Buy on break of DB signal bar and neckline; measured target matches the pattern vertical range.
📖 RESEARCH EDITORIAL & QUANT ATTRIBUTION

Read Full Playbook: Double Bottom Reversal (DB) (pa-double-bottom) Microstructure Causality & Risk Model

Explore the complete 10-year empirical backtest attribution, 4-stage deterministic finite state machine, Trader's Equation mathematical expectancy, and Al Brooks Price Action auction mechanics for Double Bottom Reversal (DB).

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STEP 1 & 2 / CONTEXT & SIGNAL BAR

Structural Context & Signal Bar

Identify Double Bottom Reversal (DB) in alignment with the 20 EMA and prevailing Always-In direction. Require a decisive signal bar close and avoid trading inside overlapping Barbed Wire chop.

STEP 3 & 4 / STOP ORDER & SIZING

±1 Tick Stop Entry & Risk Control

Enter via a Stop order 1 tick beyond the signal bar extreme. Place the initial structural stop beyond the setup pivot extreme, sizing within Half-Kelly (1%–2% account risk).

STEP 5 / MEASURED MOVE & TRAIL

Measured-Move Target & 4-Stage Trail

Scale out 50% at 1R and move the remaining stop to breakeven. Trail the swing portion behind subsequent Major Higher Lows / Lower Highs to capture the 2.38:1 payoff profile.

Top Resonant Futures Varieties for "Double Bottom Reversal (DB)" (6 Symbols)

Related "Reversal" Price Action Setups

Empirical FAQ: Double Bottom Reversal (DB) (pa-double-bottom)

Q1: What is the 10-year empirical win rate, payoff ratio, and profit factor of Double Bottom Reversal (DB) (pa-double-bottom)?

Across 54 futures contracts (2015–2026) under bar-by-bar causality, Double Bottom Reversal (DB) (pa-double-bottom) generated 2814 closed trades with a 25.2% win rate, 2.38:1 average payoff ratio, 0.87 profit factor, and -0.15R mathematical expectancy per trade.

Q2: Which futures variety shows the strongest resonance with Double Bottom Reversal (DB)?

Empirical attribution identifies CZCE.TA as the top-performing variety (Profit Factor 3.4x), alongside high-liquidity US equities/ETFs (NVDA, QQQ, SPY) on the 5-minute timeframe.

Q3: How should I set the entry trigger, protective stop, and Half-Kelly position size for Double Bottom Reversal (DB)?

Follow the 5-step causality protocol: place a Stop order ±1 tick beyond the signal bar extreme; set the initial protective stop beyond the setup pivot extreme (-1.0R); scale out 50% at +1.0R and move stop to breakeven. Theoretical Half-Kelly allocation is 0% (1%–2% practical per-trade risk).

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MarketSightAI Quantitative Forensics Capabilities & Deeper Research Inquiries

We openly showcase our core quantitative engineering capabilities—including the Interactive Lifecycle Workbench (/workbench/), 6-school 5-step causal inference, 54-variety × 47-setup 10-year empirical matrix, and portfolio attribution. If you have deeper research requirements, custom .json session requests, or institutional collaboration inquiries, feel free to reach out via email.

DISCLOSURE Regulatory Disclosure & Non-Investment Advice Notice (Mandatory Reading)

1. Post-Market Quantitative Research Tool Only: All charts, win-rate statistics, 5-step causal chains, and .json sessions exclusively analyze completed historical K-line bars; 2. No Investment Advice: MarketSightAI does not provide live trading signals, financial advisory, or asset management services; 3. 100% Risk Assumption: Past statistical performance never guarantees future results—you are solely responsible for your own trading decisions.

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Capability 01 / Workbench Open Access

Bar-by-Bar Lifecycle Workbench

Explore 15 built-in historical WorkbenchSession samples with bar-by-bar blind replay, Dual-Window HUD, and local JSON import.

  • ✓ Covers 6 tactical schools (Al Brooks PA / Langzhu / FangFangTu / Ouyang / Ross Mom & Options)
  • ✓ Reconstructs the 5-step causal chain (Context ➔ Anatomy ➔ Setup ➔ Plan ➔ Bar N+1 Watershed)
  • ✓ Bar-by-Bar Blind Replay hides future bars to test real-time price action reading
Capability 02 / Empirical Matrix 10-Year Backtest

54-Variety × 47-Setup Matrix

Built on strict bar-by-bar causal backtests (2015–2026) across 54 futures contracts and 47 Price Action setups.

  • ✓ Win rate, payoff ratio, and Profit Factor leaderboard across 47 PA setups
  • ✓ 54 futures variety DNA profiles mapping top win-rate & top PF setups
  • ✓ Interactive Trader’s Equation & Half-Kelly position sizing calculator
Capability 03 / Portfolio Audit Transparent NAV

Multi-Asset Portfolio Attribution

Strictly aligned to 15:00 physical close timestamps with zero lookahead bias across ETF rotation and CTA portfolios.

  • ✓ 8 core institutional risk metrics (CAGR, Sharpe, Sortino, Calmar, Max DD)
  • ✓ Interactive excess NAV curve vs. benchmark & underwater drawdown chart
  • ✓ Transparent archive of historical rebalancing logs and factor rationales
RESEARCH CONTACT
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Need Deeper Research? Email Us

If you have deeper requirements—such as custom symbol/date WorkbenchSession JSON compilation, multi-school attribution, or research collaboration—reach out via email.

  • ✓ Custom Symbol & Date Forensics: Discuss bespoke .json sessions for specific completed trading days
  • ✓ Multi-School & Algorithmic Exchange: Deep-dive discussions on 5-step causality and empirical backtesting
  • ✓ Official Contact Email: [email protected]
Deeper Research & Technical Contact (Official Email: [email protected])

For deeper inquiries on historical session forensics, multi-timeframe algorithmic attribution, or quantitative research collaboration, please email us directly. All analyses and data strictly follow our Legal Disclaimer & Non-Investment Advice Terms for educational research only.

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