Sigma Volatility Shockwave AI
Sigma Volatility Shockwave AI is a Both martingale expert advisor developed by Wall Street Liquidity, verified via mql5 with +205.9% gain and 56.4% max drawdown over 233 tracked days.
Turned a $1,000 deposit into $3,059 over 233 tracked days.
Worst peak-to-trough drop was $564 per $1,000 equity.
Generated $2.09 in gross profit for every $1.00 lost.
Average monthly compounding rate across 233 days.
At-a-Glance Specifications
20 Verified FieldsSystem metrics verified from live trade statements and database records. Missing fields are left unlisted rather than estimated.
| System Name | Sigma Volatility Shockwave AI |
|---|---|
| Developer / Author | Wall Street Liquidity |
| Execution Platform | Both Robot |
| Algorithmic Strategy | MARTINGALE |
| Verification Source | MQL5 |
| Verified Total Gain | +205.9% |
| Monthly Growth Rate | +10.7%/mo |
| Maximum Drawdown | 56.4% |
| Profit Factor | 2.09 |
| Track Record Age | 233 monitored days |
| Live Broker Verification | Yes (Broker Connected) |
| Prop Firm Compatibility | No (Requires Custom Risk Filter) |
| Traded Instruments | GBPUSD |
| AI Trust Score | 52.0/100 (Grade D) |
| License Model | $249 |
| Martingale Position Sizing | Active (Compounding Risk) |
| Grid Position Scaling | Disabled |
| News Event Filter | Disabled |
| MQL5 Market ID | 101672 |
| Last Audit Update | 2026-11-06 |
Sigma Volatility Shockwave AI achieves an AI Trust Score of 52.0/100 (Grade D). A Both martingale system with a verified 205.9% gain and 56.4% max drawdown over 233 tracked days.
6 Grounded Analytical Pillars
Scoring Methodology →Formula
Live real account verified with external linkFormula
100 - (DD × 2.5) - 35 (Martingale penalty)Formula
Calmar proxy (annualized gain ÷ max DD, capped at 6.0)Formula
233 / 730 days (full marks at 2 years)Formula
Normalized Profit Factor (PF 2.0 = 100, PF 1.0 = 0)Formula
Rating weighted by review count (capped at 50 reviews)✓ Cited Strengths (3)
- • Automated order routing on Both optimized for GBPUSD. [source: pros[]]
- • Controlled risk management maintaining peak drawdown at 56.4%. [source: pros[]]
- • Positive verified statistical expectancy with a 2.09 profit factor. [source: pros[]]
⚠ Cited Risks & Limits (2)
- • Requires constant low-latency VPS connectivity (<10ms). [source: cons[]]
- • Performance may fluctuate during major central bank interest rate shocks. [source: cons[]]
Trading Regime Suitability
| Deployment Scenario | Suitability | Audit Basis |
|---|---|---|
| Prop Firm Challenges | ✗ High DD Risk | Evaluated for prop terms (Max DD: 56.4%) |
| Long-Term Portfolio | ✗ High Risk | Standard execution model |
| News Event Trading | ✗ Unfiltered Volatility Risk | Based on news filter status |
| Swing vs Scalp Profile | ◐ Scalping Profile | Timeframe: Discretionary on GBPUSD |
3 Rule-Based Risk Guardrails
Account sizing risks exponential drawdown during sustained one-way trends.
Broker-connected live telemetry verified via MQL5.
Max historical drawdown exceeds standard 20% institutional risk thresholds.
How Sigma Volatility Shockwave AI Works
Strategy ArchitectureSigma Volatility Shockwave AI is an audited algorithmic Expert Advisor on Both. It delivers +205.9% cumulative gain with a 2.09 profit factor across GBPUSD.
Standard 4-Step Verification & Deployment Protocol
Deploy MetaTrader (Both) on a dedicated trading VPS close to your broker execution server for sub-5ms order latency.
Copy Sigma Volatility Shockwave AI file into the MQL Experts folder, restart MetaTrader, and allow automated live trading in options.
Attach to GBPUSD and configure conservative risk sizing (0.01 lot per $1,000 balance).
Confirm the terminal Algo Trading button is active and monitor initial trades via forward demo testing before capital scaling.
Verified Pros & Known Constraints
Pass-Through Audit✓ Verified Strengths (4)
- • Automated order routing on Both optimized for GBPUSD.
- • Controlled risk management maintaining peak drawdown at 56.4%.
- • Positive verified statistical expectancy with a 2.09 profit factor.
- • Dynamic trailing stop loss and slippage protection filters.
⚠ Risk Factors & Limitations (2)
- • Requires constant low-latency VPS connectivity (<10ms).
- • Performance may fluctuate during major central bank interest rate shocks.
Frequently Asked Questions
Rule-Based Q&AIs Sigma Volatility Shockwave AI prop-firm safe? ▼
Sigma Volatility Shockwave AI is not recommended for prop firm challenges without custom risk limiting, as its historical drawdown of 56.4% may breach standard daily or maximum loss limits.
What timeframe does Sigma Volatility Shockwave AI work best on? ▼
Sigma Volatility Shockwave AI operates on GBPUSD, typically evaluated across M5, M15, or H1 charts depending on your broker spread and latency profile.
Does Sigma Volatility Shockwave AI use high-risk martingale or grid sizing? ▼
Sigma Volatility Shockwave AI utilizes martingale compounding elements. Traders must maintain sufficient equity buffer and apply strict stop-loss rules to prevent tail risk.
How is the performance of Sigma Volatility Shockwave AI verified? ▼
The track record of Sigma Volatility Shockwave AI is verified on a live broker account via MQL5, reporting 205.9% total gain over 233 days.
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