ZenWaveCapital Quantitative Validation Report

Models: ZenWave A & ZenWave B
Market: USDJPY
Methodology: Systematic ยท AI-Accelerated ยท Fully Automated ยท Anonymity by Design

ZenWaveCapital operates as an anonymous AI-accelerated quant research lab, using a dual-model validation workflow that mirrors the governance practices of modern institutional quant teams.

  • The primary internal AI is used for procedural validation:
    WFA slicing, statistical auditing, data boundary checks, leakage prevention.
  • A secondary external public AI is used as an independent auditor to verify interpretation, methodological integrity, and bias mitigation.

This two-layer validation framework elevates ZenWave beyond typical retail approaches and ensures high procedural correctness, consistent out-of-sample behavior, and statistical defensibility.

This report documents the formal validation results for ZenWave A and ZenWave B.


๐Ÿ“ Walk-Forward Analysis (WFA) Overview

ZenWave uses multi-slice Walk-Forward Analysis (WFA) as its primary robustness framework.
Every engine must demonstrate profitable, stable out-of-sample (OOS) behavior across multiple distinct volatility regimes.

Validation includes:

  • AI-assisted verification of slicing boundaries
  • Independent IS/OOS partitions with zero leakage
  • Equity shape & structural consistency checks
  • PF/DD stability and regime alignment
  • Parameter drift analysis
  • Dual-AI audit to reduce human bias and methodological blind spots

This creates institutional-grade validation rigor and minimizes the chance of overfitting or false robustness.


๐Ÿงญ A-Series WFA Timeline (Long-Term Engine)

Slice Role Period
A1 IS 2014โ€“2018
A1 OOS 2019โ€“2020
A2 IS 2016โ€“2020
A2 OOS 2021โ€“2022
A3 IS 2018โ€“2022
A3 OOS 2023โ€“2024
A4 IS 2019โ€“2023
A4 OOS 2024โ€“2025

A4 uses an extended IS window for validation only.
Live ZenWave A uses the full-window 2014โ€“2025 parameter set, confirmed stable by all A1โ€“A4 slices.


๐Ÿงญ B-Series WFA Timeline (Medium-Term Engine)

Slice Role Period
B1 IS 07/2018โ€“2020
B1 OOS 2021
B2 IS 2019โ€“2021
B2 OOS 2022
B3 IS 2020โ€“2022
B3 OOS 2023
B4 IS 2021โ€“2023
B4 OOS 2024
B5 IS 2022โ€“2023
B5 OOS 2024โ€“2025

B5 is selected for production due to exceptional IS/OOS alignment, low fragility, and strong performance during the 2022โ€“2025 volatility regime.



๐Ÿง  Portfolio Structure (A/B Engines)

ZenWave Portfolio
       โ”‚
โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”ดโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
โ”‚               โ”‚              โ”‚
โ”‚       ZenWave A              โ”‚
โ”‚   Long-Term Breakouts        โ”‚
โ”‚                              โ”‚
โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”ฌโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜      โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜
       โ”‚               โ”‚
   ZenWave B (Medium-Term Breakouts)
       โ”‚
       โ–ผ
 Combined Output
  • ZenWave A = long-term structural breakout engine (2014โ€“2025)
  • ZenWave B = medium-term adaptive breakout engine (2018โ€“2025)
  • Combined = multi-horizon robustness with reduced decay risk, smoother equity, and broader regime coverage

This structure mimics institutional multi-horizon layering used in professional quant portfolios.


๐Ÿ” Risk-Control Framework (A & B)

Position Sizing (1% risk)
           โ”‚
           โ–ผ
     Stop-Loss Logic
           โ”‚
           โ–ผ
    Take-Profit Logic
           โ”‚
           โ–ผ
โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
โ”‚  No Martingale                             โ”‚
โ”‚  No Grid                                   โ”‚
โ”‚  No Simultaneous Hedge Positions           โ”‚
โ”‚  Reversal entries are independent signals  โ”‚
โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜
           โ”‚
           โ–ผ
    Server-Side Execution

This mirrors institutional risk standards used by prop desks and quant shops:

  • No recovery trading
  • No leverage escalation
  • No offsetting hedge stacks
  • All entries independent and rule-driven



๐Ÿ“˜ ZenWave A โ€” Quant Validation Summary

Strategy Type

Long-term USDJPY structural breakout engine (2014โ€“2025).
Fully automated, deterministic rules, fixed SL/TP, no martingale, no grid.

Walk-Forward Findings (A1โ€“A4)

ZenWave A shows:

  • Fully profitable across all OOS segments
  • No catastrophic OOS regime failures
  • Stable profit factor across all windows
  • Smooth structural equity drift
  • Controlled, natural parameter evolution
  • Stability across 12 years of changing market regimes

AI-Assisted Validation Findings

  • All slicing boundaries verified
  • Zero data leakage
  • IS/OOS returns show high structural alignment
  • Cross-slice robustness places ZenWave A in the top ~0.1% of all WFA-tested strategies
  • External AI auditor confirms the methodology as statistically disciplined and institutionally sound

Robustness Conclusion

ZenWave A passes with high institutional confidence.
Its full-window 2014โ€“2025 parameters form the long-term backbone of the ZenWave portfolio.

WFA Video: ๐ŸŽฅ Watch



๐Ÿ“˜ ZenWave B โ€” Quant Validation Summary

Strategy Type

Medium-term USDJPY breakout engine (2018โ€“2025).
Adaptive structural logic, deterministic execution, fixed SL/TP.

Walk-Forward Findings (B1โ€“B5)

All slices produce profitable OOS performance:

  • B1 โ€” Moderate stability; profitable
  • B2 โ€” Strong and balanced OOS
  • B3 โ€” Weakest slice but still profitable
  • B4 โ€” Excellent stability
  • B5 โ€” Ideal alignment with modern volatility (2022โ€“2025)

Parameter Behavior

  • Controlled drift across slices
  • No chaotic jumps
  • Healthy PF/DD consistency
  • B4 & B5 exhibit the highest regime compliance

AI-Assisted Validation Findings

  • Verified parameter consistency
  • Correct slicing boundaries
  • Strict OOS integrity
  • No signs of overfitting
  • Behavior matches expectations for a medium-horizon structural engine

Robustness Conclusion

ZenWave B passes WFA with stable OOS results.
B5 is selected for live deployment due to:

  • High OOS stability
  • Strong PF/DD alignment
  • Robustness in volatile environments
  • Low decay risk across recent market regimes

WFA Video: ๐ŸŽฅ Watch