Trade forensics
MAE, MFE & path behavior
Measure adverse excursion, favorable excursion, giveback, time-to-opportunity and the path each trade took before its final result.
Research layer
Interrogate the behavior behind the equity curve.
A profitable curve can hide fragility. A struggling system can contain a strong idea being used in the wrong regime. EdgeQuery separates those questions.
Market context
Regime sensitivity
Test whether performance changes with trend quality, volatility, structure, time of day, session and other observable market states.
Failure analysis
Loss clustering
Look for conditions that repeatedly precede failure instead of assuming every losing trade has the same cause.
Execution
Exit efficiency
Compare realized exits with available excursion to find early exits, excessive giveback, target mismatch and stop-placement problems.
Robustness
Segment & stability tests
Break results into sessions, instruments, time windows and market states to expose dependence on a narrow sample.
Decision support
Actionable findings
Convert the evidence into research priorities: what deserves another test, what needs mitigation and what should remain untouched.
Research library
Learn how to diagnose an automated trading system.
These guides cover the same research questions EdgeQuery is being built to investigate: trade-path behavior, failure clustering, market regimes and deeper backtest analysis.
Backtesting
Automated trading backtest analysis
Move beyond profit factor, win rate and drawdown to trade-level diagnostics and testable hypotheses.
Trade path
MAE & MFE analysis
Use adverse and favorable excursion to study stop placement, targets, giveback and exit efficiency.
Market context
Market regime analysis
Test whether performance changes across trending, ranging, high-volatility and low-volatility conditions.
TradingView
Analyze Strategy Tester results
Turn exported TradingView trade history into a deeper diagnostic research process.
Workflow
Bring the evidence. Keep control of the strategy.
1
Upload results
Upload up to one year of supported trade history. During beta, EdgeQuery analyzes the most recent 90 days.
2
Normalize
We validate timestamps, fields, instrument metadata and the usable research window.
3
Analyze
The research layer searches for repeatable performance relationships and failure signatures.
4
Review
Receive evidence-backed findings, validation results and implementation-neutral Research Specifications for the ideas worth testing next.
Your strategy stays yours
Keep your proprietary logic private.
EdgeQuery is designed to analyze the results your system produces without requiring you to disclose how your strategy works. Upload your backtest, trade history or selected strategy variables while keeping your proprietary entry logic, formulas, internal rules and source code private.
No source code required
- Research the behavior of your system from its outputs.
- Share only the strategy variables you choose.
- Your trading logic remains yours.
Bring us the evidence. Keep the recipe.
Component-level analysis
Analyze the part you want. Keep the rest private.
Focus EdgeQuery on entries, exits, stops, profit targets, risk management, or the complete trade lifecycle. Share only the information required for the question you are asking.
Launch pricing
Choose how deeply you want EdgeQuery to investigate.
EdgeQuery is priced as strategy research, not as a trade journal. Start with one diagnostic or unlock progressively deeper market reconstruction, validation and context research. Founding beta promotions may be offered separately from these standard prices.
Purchasing not yet open
One-time
EdgeQuery Diagnostic
$29
A professional second opinion on one strategy or trade-history dataset.
Who it’s forTraders who want to find the important weaknesses, asymmetries and research questions hiding behind one backtest.
- Trade forensics and drawdown diagnostics
- MAE / MFE, session and directional analysis
- Evidence-backed findings and next research priorities
Monthly
EdgeQuery Research
$49 / month
Ongoing strategy research with reconstructed market context.
Who it’s forSystematic traders who want to understand why performance changes and turn those observations into testable research hypotheses.
- Everything in Diagnostic
- Market reconstruction, Delta and Delta Divergence
- Basic regime, structure and chronological validation
- Research Specifications
Monthly
EdgeQuery Pro
$99 / month
Deep strategy forensics across interacting market conditions.
Who it’s forSerious strategy developers investigating drawdowns, regime dependence, cross-market behavior and conditional edge.
- Everything in Research
- Advanced regime, QFR and multi-timeframe structure
- Cross-market participation and interaction research
- Deeper validation and Research Specifications
Monthly
EdgeQuery IQ
$199 / month
The complete available EdgeQuery market-context research stack.
Who it’s forTraders with meaningful capital or mature systems who want premium context around where an edge appears, weakens or disappears.
- Everything in Pro
- GEX and premium market-context research
- Full-context interaction analysis
- Advanced participation / breadth as available
Research access by plan
One research architecture. Four levels of depth.
Higher tiers unlock additional context engines and interaction research. EdgeQuery measures evidence first, validates candidate relationships, and explains the result afterward.
| Research capability | Diagnostic $29 once | Research $49/mo | Pro $99/mo | IQ $199/mo |
|---|---|---|---|---|
| Trade forensics | ✓ | ✓ | ✓ | ✓ |
| MAE / MFE diagnostics | ✓ | ✓ | ✓ | ✓ |
| Session, direction & drawdown analysis | ✓ | ✓ | ✓ | ✓ |
| Structured findings | ✓ | ✓ | ✓ | ✓ |
| Feature research | — | ✓ | ✓ | ✓ |
| Market reconstruction | — | ✓ | ✓ | ✓ |
| Delta / Delta Divergence | — | ✓ | ✓ | ✓ |
| Basic regime & structure | — | ✓ | ✓ | ✓ |
| Chronological validation | — | ✓ | ✓ | ✓ |
| Research Specifications | — | ✓ | ✓ | ✓ |
| Advanced regime / QFR / multi-timeframe | — | — | ✓ | ✓ |
| Cross-market participation | — | — | ✓ | ✓ |
| Interaction & categorical research | — | Core | ✓ | ✓ |
| GEX context | — | — | — | ✓ |
| Advanced participation / breadth* | — | — | — | ✓ |
| Full-context interaction research | — | — | Selected | ✓ |
Find → Explain → Test → SpecifyEdgeQuery identifies evidence-backed relationships, tests whether they persist, and can produce an implementation-neutral Research Specification. Your strategy code remains your responsibility.
EdgeQuery IQPremium context is available only where the required historical datasets overlap. *Breadth and other advanced data sources are enabled as production coverage becomes available.
Already in the beta?
Send EdgeQuery your trade history.
Use the subscriber research portal to upload CSV/XLSX data and tell us what you want investigated.
Founding beta waitlist
Get notified when EdgeQuery opens.
We are collecting a small group of automated traders for the founding beta. Join the waitlist now and we will email you when trade-history uploads and live research access are ready. When uploads open, CSV and XLSX will be the initially supported file formats.