This section captures essential identification and technical metadata for the trading strategy. All fields marked mandatory must be completed before submission.
Strategy Name
Model Version Number
Primary Developer Name
Development Team Lead
Strategy Description & Core Logic
Strategy Classification
Market Making
Statistical Arbitrage
Momentum/Trend Following
Mean Reversion
Machine Learning Prediction
High-Frequency Arbitrage
Options Market Making
Event-Driven
Multi-Strategy
Other
If Other, please specify classification
Primary Asset Class
Expected Average Holding Period
Expected Daily Turnover Ratio (%)
Is this a significant model update from previously approved version?
Describe key changes, improvements, and risk implications
Code Repository & Version Control Details
Git Repository URL
Commit Hash for Production Build
Has the code been peer-reviewed by at least two senior quants?
CRITICAL: Code peer review is mandatory. Deployment cannot proceed without documented peer review completion.
Peer Review Summary & Key Findings
Technology Stack & Infrastructure Requirements
Programming Languages Used
Python
C++
Java
Rust
C#
R
Julia
Other
Key Dependencies & Libraries (with versions)
Target Execution Environment
Expected Maximum Latency Tolerance (microseconds)
Does strategy require co-location or proximity hosting?
Specify co-location venue(s)
Has disaster recovery & failover been implemented?
Describe DR architecture and RTO/RPO metrics
CRITICAL: DR and failover capabilities are mandatory for production deployment.
Comprehensive performance validation and risk metric documentation. All performance claims must be supported by documented backtesting results over multiple market regimes.
Backtesting Period Start Date
Backtesting Period End Date
Total Backtesting Duration (months)
Does backtesting include out-of-sample validation?
Out-of-sample period duration (months)
WARNING: Out-of-sample validation is strongly recommended to avoid overfitting.
Has walk-forward analysis been performed?
Describe walk-forward methodology and key results
Core Performance Metrics Summary
Metric Name | In-Sample Value | Out-of-Sample Value | Benchmark Comparison | Meets Minimum Threshold? | ||
|---|---|---|---|---|---|---|
A | B | C | D | E | ||
1 | Annualized Return (%) | 18.5% | 16.2% | S&P 500: 12% | Yes | |
2 | Sharpe Ratio | 1.85 | 1.62 | Target: >1.5 | Yes | |
3 | Sortino Ratio | 2.34 | 2.15 | Target: >2.0 | Yes | |
4 | Maximum Drawdown (%) | -8.2% | -9.5% | Limit: <-10% | Yes | |
5 | Calmar Ratio | 2.26 | 1.71 | Target: >1.5 | Yes | |
6 | Win Rate (%) | 58.3% | 56.8% | Target: >55% | Yes | |
7 | Profit Factor | 1.42 | 1.38 | Target: >1.3 | Yes | |
8 | VaR (95%, 1-day) | -1.85% | -2.01% | Limit: <-3% | Yes | |
9 | Expected Shortfall (CVaR) | -2.34% | -2.58% | Limit: <-4% | Yes | |
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Stress Testing & Scenario Analysis
Has strategy been tested against historical crash scenarios?
Which historical stress periods were tested?
2008 Financial Crisis
2010 Flash Crash
2015 China Crash
2020 COVID Crash
2022 Rate Shock
Other
Describe performance during worst-case historical scenario
Synthetic Stress Test Results
Stress Scenario | Volatility Multiplier | Correlation Shock (%) | Simulated Loss ($) | Drawdown (%) | Within Risk Limits? | ||
|---|---|---|---|---|---|---|---|
A | B | C | D | E | F | ||
1 | Liquidity Shock | 3.5 | -40 | $125,000.00 | -4.2 | Yes | |
2 | Gap Risk (Overnight) | 2 | -20 | $85,000.00 | -2.8 | Yes | |
3 | Volatility Spike (3-sigma) | 4 | -25 | $210,000.00 | -7.1 | Yes | |
4 | Correlation Breakdown | 1.5 | -60 | $95,000.00 | -3.2 | Yes | |
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Has Monte Carlo simulation been performed with parameter randomization?
Probability of ruin under extreme parameter variation (%)
Has strategy been tested for overfitting using combinatorial purged cross-validation?
WARNING: Advanced overfitting tests are required for complex machine learning strategies.
Overall Confidence Level in Backtesting Results
Very Low
Low
Moderate
High
Very High
Key Limitations & Assumptions in Backtesting Framework
Define explicit capital exposure limits and automated safety mechanisms. These controls are mandatory and cannot be bypassed in production.
Position & Exposure Limits Configuration
Limit Type | Maximum Value ($) | Maximum Percentage (%) | Hard Stop (Auto-Disable)? | Soft Warning Only? | Notification Recipients | ||
|---|---|---|---|---|---|---|---|
A | B | C | D | E | F | ||
1 | Single Position Limit | $5,000,000.00 | 2.5 | Yes | Trading Desk, Risk Manager | ||
2 | Gross Exposure Limit | $100,000,000.00 | 50 | Yes | CRO, Head of Trading | ||
3 | Net Exposure Limit | $25,000,000.00 | 12.5 | Yes | CRO, Risk Committee | ||
4 | Sector Concentration Limit | $20,000,000.00 | 10 | Yes | Sector Risk Manager | ||
5 | Single Asset Max Position | $1,000,000.00 | 0.5 | Yes | Trading Desk | ||
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Loss-Based Circuit Breaker Configuration
Daily Loss Limit (Hard Stop)
Intraday Loss Limit (Trading Halt)
Consecutive Loss Days Limit before Auto-Disable
Maximum Drawdown from Peak before Review (%)
Are trailing stop-loss mechanisms implemented per position?
Maximum stop-loss distance from entry (%)
Market Condition-Based Circuit Breakers
Auto-disable during extreme market volatility?
VIX threshold for auto-disable
Auto-disable during liquidity crisis conditions?
Define liquidity crisis indicators and thresholds
Implement kill switch for correlation breakdown events?
Are manual override capabilities available to risk managers?
Maximum override duration before automatic re-evaluation (minutes)
Margin & Leverage Controls
Maximum Leverage Ratio (Gross Notional/Capital)
Maintenance Margin Buffer Requirement ($)
Dynamic margin adjustment based on portfolio risk?
Operational Risk Controls
Has maximum order rate per second been configured?
Maximum orders per second per symbol
Are fat-finger error checks implemented (price/size validation)?
Does system detect and prevent self-trading?
Has maximum order cancellation ratio been defined?
Max cancellations/Total orders (%)
Overall Robustness of Risk Controls (1=Weak, 5=Exceptional)
Comprehensive assessment of regulatory compliance and market manipulation risks. This section must be completed with utmost diligence.
Primary Regulatory Framework
MiFID II (EU)
Reg NMS (US)
ASIC (Australia)
MAS (Singapore)
HKMA (Hong Kong)
FCA (UK)
Cross-Jurisdictional
Other
If Cross-Jurisdictional or Other, provide details
Is strategy classified as High-Frequency Trading (HFT) under relevant regulations?
HFT-specific compliance measures implemented
Message limit controls
Co-location disclosure
Order-to-trade ratio monitoring
Market maker obligations
Direct electronic access controls
Market Manipulation Risk Assessment
Assess manipulation risk for each behavior type (1=No Risk, 5=High Risk)
1 - No Risk | 2 - Low Risk | 3 - Medium Risk | 4 - High Risk | 5 - Critical Risk | |
|---|---|---|---|---|---|
Spoofing/Layering risk | |||||
Quote stuffing risk | |||||
Momentum ignition risk | |||||
Cross-market manipulation risk | |||||
Marking the close risk | |||||
Wash trading risk |
Does strategy generate orders that may appear manipulative to surveillance systems?
Explain why and describe mitigating controls
Has independent compliance review been conducted?
Compliance Review Reference Number
CRITICAL: Independent compliance review is mandatory before deployment.
Are real-time surveillance alerts configured for manipulation patterns?
Surveillance alert types configured
Order-to-trade ratio spikes
Rapid order modifications
Price impact anomalies
Cross-asset correlation breaks
Liquidity exhaustion patterns
Other
Best Execution & Fair Pricing Compliance
Does strategy implement best execution monitoring?
Describe best execution methodology and TCA implementation
Are pre-trade risk controls implemented at order gateway level?
Describe gateway-level controls (price collars, size limits, etc.)
Does strategy interact with dark pools or non-displayed liquidity?
Describe dark pool interaction logic and fairness checks
Transparency & Reporting Readiness
Are all required regulatory reporting fields automatically captured?
Can strategy produce complete audit trail within 24 hours?
Does firm maintain algorithmic trading documentation per regulatory requirements?
Overall Market Integrity Risk Score (1=Minimal, 5=Critical)
Additional Compliance Notes or Regulatory Concerns
Final authorization section. All previous sections must be completed before executive sign-off. Approvals are binding and subject to regulatory scrutiny.
Chief Risk Officer Name
CRO Approval Date
CRO Risk Assessment - Rate each dimension (1=Poor, 5=Excellent)
1 - Poor | 2 - Below Average | 3 - Average | 4 - Good | 5 - Excellent | |
|---|---|---|---|---|---|
Quality of backtesting methodology | |||||
Robustness of risk controls | |||||
Stress test adequacy | |||||
Compliance framework completeness | |||||
Operational readiness | |||||
Team expertise & experience |
CRO Approval - Does the strategy meet all risk management standards?
CRO: List specific conditions or required modifications for approval
CRO: Additional Risk Conditions or Monitoring Requirements
Chief Risk Officer Digital Signature
Head of Quantitative Trading Approval
Head of Quant Trading Name
Head of Quant Approval Date
Quantitative Quality Assessment - Rate each dimension (1=Poor, 5=Excellent)
1 - Poor | 2 - Below Average | 3 - Average | 4 - Good | 5 - Excellent | |
|---|---|---|---|---|---|
Alpha signal robustness | |||||
Model innovation & edge sustainability | |||||
Technical implementation quality | |||||
Scalability potential | |||||
Competitive advantage analysis | |||||
Research documentation completeness |
Head of Quant Approval - Is the strategy ready for production deployment?
Head of Quant: List required actions before deployment authorization
Head of Quant: Deployment Conditions & Post-Launch Review Schedule
Head of Quantitative Trading Digital Signature
Emergency Protocol & Escalation
Has 24/7 on-call escalation list been established?
Are automated kill-switch procedures documented and tested?
Emergency Contact List (Name, Role, Phone, Email)
Has legal counsel reviewed and approved the deployment?
Legal sign-off is required before final deployment.
Legal Approval Reference Number
I confirm that all information provided is accurate and complete to the best of my knowledge
I acknowledge that deployment authorization is conditional upon continuous compliance with risk limits and regulatory requirements
I understand that any material change to strategy parameters requires re-authorization
Final Authorization Timestamp
To configure an element, select it on the form.