The Importance of Independent Audits
The Problem with Self-Reported Performance
Open any trading platform's website and you'll see claims like:
- "95% win rate!"
- "300% annual returns!"
- "Turn 10,000 in 30 days!"
The common thread? Zero independent verification.
Why Self-Reported Metrics Are Meaningless
1. Selection Bias
Platforms cherry-pick their best-performing strategies or time periods:
- Show results from bull markets only
- Hide strategies that failed
- Start the backtest at a convenient bottom
2. Overfitting
When you test 1,000 strategies, a few will look amazing just by chance:
- 95% confidence means 1 in 20 strategies will appear significant by luck
- Multiple testing problem compounds this
- Result: Strategies that worked in backtest but fail in live trading
3. Look-Ahead Bias
Using future information in historical testing:
- Technical indicators that "peek" at future prices
- Corporate earnings known in advance
- Survivorship bias (only testing stocks that survived)
4. Transaction Cost Fantasy
Ignoring or minimizing real trading costs:
- Exchange fees: 0.1-0.3% per trade
- Slippage: 0.05-0.2% per trade
- Market impact for larger orders
- Financing costs for leverage
A strategy showing 80% annual returns in backtest might be negative after realistic costs.
What Audits Actually Verify
An independent audit examines:
Code Review
- Verify no look-ahead bias in strategy logic
- Check data handling and preprocessing
- Validate technical indicator calculations
- Ensure proper walk-forward testing methodology
Performance Validation
- Recreate backtest results from scratch
- Test on out-of-sample data
- Verify transaction cost modeling
- Validate statistical significance
Risk Controls
- Confirm risk management systems function as claimed
- Test circuit breakers and kill switches
- Validate position sizing algorithms
- Verify correlation calculations
Operational Due Diligence
- Review system architecture and failover
- Check data quality and sources
- Validate monitoring and alerting
- Assess cybersecurity measures
Our Audit Process
We've engaged third-party auditors to review:
Phase 1: Methodology Verification (In Progress)
- Review of all 486 ML model configurations
- Validation of 380 trading strategy implementations
- Backtesting methodology audit
- Feature engineering review
Status: Legal review ongoing, estimated completion Q1 2026
Phase 2: Performance Validation (Pending)
- Out-of-sample testing on unseen data
- Walk-forward validation
- Monte Carlo simulation of different market regimes
- Stress testing under extreme conditions
Status: Begins after Phase 1 completion
Phase 3: Live Trading Verification (Future)
- Monitor live trading for 6-12 months
- Compare live results vs backtested expectations
- Validate execution quality
- Confirm risk management effectiveness
Status: Requires Phase 1-2 completion first
What We Won't Do Until Audit Completion
Until independent verification is complete:
❌ No Performance Fees
We won't charge profit-share or management fees. Everything remains demo/testing mode.
❌ No Guaranteed Returns
We won't make promises about specific performance levels.
❌ No Cherry-Picked Results
We won't selectively showcase our best-performing strategies while hiding others.
❌ No Marketing Hype
We won't use aggressive marketing tactics based on unverified claims.
What We Will Do
✅ Transparent Methodology
Full documentation of our approach, available publicly.
✅ Realistic Expectations
Win rates of 52-68%, not 95%. Drawdowns of 12-24%, not "never lose."
✅ Comprehensive Cost Modeling
Transaction costs of 0.1-0.5% included in all performance figures.
✅ Open Data Collection
Ongoing live trading data collection to validate backtests against reality.
The Cost of Honesty
Our approach has trade-offs:
Disadvantages:
- Slower time-to-market vs competitors
- Can't aggressively market unverified claims
- Lose customers to platforms with flashy promises
- Higher upfront audit costs
Advantages:
- Long-term credibility
- Regulatory compliance-ready
- Honest customer relationships
- Sustainable business model
We're betting that long-term trust beats short-term hype.
Red Flags to Watch For
When evaluating any trading platform, be suspicious of:
🚩 Extraordinary Claims
- Win rates >80%
- Returns >200% annually
- "Never lose" promises
- "Guaranteed profits"
🚩 Lack of Transparency
- Proprietary "secret sauce" they can't explain
- No methodology documentation
- Refusal to share backtest details
- No information on risk management
🚩 Pressure Tactics
- "Limited time offer!"
- "Only 10 spots left!"
- "You'll miss out if you don't act now!"
- Aggressive sales calls/emails
🚩 No Independent Verification
- Self-reported performance only
- No third-party audit
- No live trading track record
- Testimonials instead of data
Questions to Ask Any Platform
Before trusting a trading system with your money:
-
"Can I see the full methodology documentation?"
- If no → Run away
-
"What are your transaction cost assumptions?"
- If <0.2% total → Unrealistic
-
"What's your worst drawdown period?"
- If "we never have drawdowns" → Lying
-
"Who audited your performance claims?"
- If "we did" → Not actually audited
-
"What's your live trading track record?"
- If "we only have backtests" → Unproven
-
"What happens if I lose money?"
- If "that won't happen" → Massive red flag
The Future of Algorithmic Trading Regulation
We believe the industry is heading toward:
- Mandatory third-party audits for performance claims
- Standardized disclosure of risks and costs
- Stricter marketing regulations around promises
- Investor protection similar to traditional finance
We're getting ahead of this curve by implementing these standards voluntarily.
Our Commitment
We commit to:
- No fees until audit complete - We won't charge for unverified claims
- Full transparency - Methodology, risks, and costs openly documented
- Realistic expectations - Honest performance ranges, not fantasy numbers
- Continuous verification - Ongoing validation against live trading results
Conclusion
Independent audits aren't just about compliance - they're about trust.
In an industry full of scams and exaggerated claims, the platforms that survive long-term will be those that build credibility through verified performance and honest communication.
We're building for the long term.
Learn more about our research methodology or try our live demo.