Independent crypto and forex strategy validation

Independent crypto and forex strategy validationYour backtest looks great.
Most failing strategies do.

Every backtesting platform shows you numbers. None of them tell you if those numbers are real. We give you an independent verdict on crypto and forex strategies — walk-forward validated, overfitting checked, and stress-tested — before you risk real capital.

Submit your strategy for audit

EUR 99 · verdict within 24 hours · clear PASS / CAUTION / FAIL reasoning

Ready for your independent audit?

€99 per strategy. Get your verdict within 24 hours.

Start your audit now →

No required subscription. Pay per audit. Optional follow-up support can be added for validated strategies.

7
walk-forward time splits used in our core validation process
TradeAudit methodology
1,000
Monte Carlo simulations used to test trade-sequence fragility
TradeAudit methodology
24h
target turnaround for a clear PASS / CAUTION / FAIL verdict
TradeAudit delivery standard
The problem

Backtesting platforms want you to deploy.
We want you to know the truth first.

Backtesting platforms are built to generate trading activity. This is not a criticism — it is how their business model works. Their commercial incentive is to give you tools that encourage deployment. There is structurally no reason for a platform that earns from your activity to tell you your strategy is fragile.

TradeAudit is structurally different. We charge per audit. We earn nothing from your deployment decisions. Our only commercial interest is delivering a credible, accurate verdict — because that is what you are paying for.

Maybe AI can do this for me?

A general AI tool can analyse a backtest screenshot and comment on the numbers. It cannot run walk-forward validation across 7 time splits, perform thousands of Monte Carlo simulations on your actual trade sequence, or stress-test against the 2022 LUNA collapse using real price data. It requires market-specific testing logic and professional review standards that go far beyond a single language model response. We use AI in our specialized validation pipeline, but it operates inside our structured validation methodology, designed specifically to support defensible client verdicts.

Your backtest looks great. Most failing strategies do. That warning is not just a headline. It is the core reason this page exists and why the rest of the site is built around independent validation instead of optimistic platform defaults.

Bot platforms
Backtest included to keep you on platform
Raw numbers — no verdict
No walk-forward validation
No bear market stress test
No overfitting detection
Incentive: deploy your bot
TradeAudit
Independent — no platform agenda
Clear PASS / CAUTION / FAIL verdict
Walk-forward validated across time periods
Bear market stress tested (2018, 2020, 2022)
Parameter sensitivity +/-20%
Incentive: protect your capital
How it works

Three steps from submission to your final comprehensive report

This is the whole customer journey in one line: submit, validate, and receive a clear written report with the verdict, key findings, recommendations, and export-ready outputs within 24 hours.

01
Step 01
Submit your strategy
Paste your Pine Script or describe your rules in plain text. No coding required.
Fast intake
02
Step 02
We run the audit
Walk-forward validation across time periods, sensitivity testing ±20%, and named bear-market stress tests.
Independent validation
03
Step 03
You get the full report
PASS, CAUTION, or FAIL plus metrics, risk interpretation, recommendations, and export-ready report files.
Within 24 hours · HTML / PDF / JSON / CSV
What we test

Seven validation layers. Not one.

Walk-forward validation
Core
Split data into multiple train/test windows. Only tested on unseen data per period. Confirms the strategy wasn't just memorising history.
Parameter sensitivity +/-20%
Core
Each parameter is varied independently by 20%. A robust strategy holds its edge. A curve-fitted one collapses the moment you move a setting.
Bear market stress tests
Core
Isolated against 2018 crypto winter, 2020 COVID crash, 2022 LUNA collapse, FTX fraud, and more. Named events with real market context.
Profit factor & drawdown scoring
Core
PF > 1.5, max DD < 35%, minimum 8 trades required to pass. Thresholds derived from institutional practice, not guesswork.
Cross-timeframe robustness
Standard
Same strategy logic tested across 1D, 4H, 1H and lower. A genuine edge should be visible across at least 2 timeframes.
Buy & Hold benchmark
Standard
We compare the strategy return against simply holding the asset. If you can't beat passive holding with acceptable drawdown, the strategy adds no value.
Statistical significance
Pro
Monte Carlo simulation across 1,000 randomised scenarios. Confirms whether the observed return could plausibly be explained by chance.
The framework

Three comprehensive validation layers. One defensible verdict.

Each report runs a multi-test validation stack across edge quality, hostile market survival, and structural robustness. A true PASS only happens when the strategy holds up across the full framework, not just one flattering metric.

01
Statistical edge
Walk-forward across 7 time splits · Parameter sensitivity +/-20% · Monte Carlo (1,000 simulations)
Does the strategy actually have edge, or did it just backfit to historical data
02
Hostile-market survival
Bear market stress tests · 7 named events · 2018 winter · 2020 COVID · 2022 LUNA + FTX
Does the edge survive hostile markets — or only work in bull conditions
03
Structural robustness
Cross-timeframe validation · Buy & Hold benchmark comparison · Statistical significance test
Is the edge repeatable across conditions, or specific to one lucky dataset

All three must pass. That is what PASS means.

Sample reports

See exactly what you receive

Real audit reports from our specialized validation pipeline. Explore two different verdicts so you can see the real value our reports are built to deliver.

Decision Summary

Every report now starts by explaining what the strategy actually behaves like, where it fits best, whether one shared configuration still makes sense, and the single best next action. That is the layer most backtests never give you.

Export Options

Reports can also be exported in HTML, PDF, JSON, and CSV so they are easier to use in client handoffs, internal workflows, research notes, and future SaaS/API integrations.

Live now
No
A PASS still does not automatically become a live-deployment recommendation.
Action types
5
Stop, Refine, Split by market, Paper-trade next, Expand to another asset.
Upcoming cases
2+
More benchmark-first public cases are being added to show caution and split-by-market paths.
Explore the full sample report (7 sections) →
Report #TA-2026-0031
Breakout Strategy v1 · BTC Market Index · 1D
PASS
Return
+308.00%
Profit factor
3.93
Max DD
−23.30%
Bear 2022
0 trades
Key finding

Strategy avoided the entire 2022 bear year — 0 trades, 0 losses. Walk-forward confirmed across all 7 time splits. Parameter sensitivity stable. Deployed to production.

7 sections · all tests · written reasoningOpen the PASS sample →
Report #TA-2026-0047
Trend-Following Strategy v1 · BTC Market Index · 1D
CAUTION
Return
+3.84k%
Profit factor
2.92
Max DD
−44.30%
Bear 2022
FAILED
Key finding

Real edge confirmed — PF 2.92, 63.00% win rate. The strategy failed the 2022 full bear year with −44.30% DD, and a 200-day EMA macro filter is the clearest improvement path. Buy & Hold still remains visible in the benchmark comparison. Expected verdict after fix: PASS.

Full report with fix recommendationsOpen the CAUTION sample →
Resources

Problem-first guides for traders who want the honest answer

These guides are written around the real questions traders ask before they trust a strategy: overfitting, walk-forward validation, and why live results can diverge from the backtest. They are designed to rank on higher-intent long-tail searches and still lead naturally back into the audit product.

Benchmark-first examples

Examples of how TradeAudit thinks beyond one backtest

The strongest validation story is often not more parameters. It is better market choice, cleaner interpretation, and the right next action.

Strong on one market, mixed on another
A strategy can be viable on a benchmark market without being equally honest on every second asset. That is where TradeAudit may recommend keeping scope narrow or splitting profiles.
Good backtest, wrong next step
A strategy can still earn a paper-trade recommendation instead of immediate live confidence. The report is built to improve decisions, not to push action too early.
Shared profile not always recommended
When one configuration starts to hide meaningful market differences, TradeAudit can recommend separate market-specific profiles rather than one compromised setup.
Public case roadmap

The current public sample demonstrates the benchmark-first and paper-trade-next path. The next public cases being prepared are a clearer caution-first example and a split-by-market example, so customers can see how TradeAudit handles different decision paths.

Pricing

One strategy. Start with the right benchmark, then widen only when it earns it.

A single-asset result can tell you if the strategy works somewhere. A benchmark-first multi-asset result is what starts to tell you whether the edge is real and portable.

Standard
€99 per report
One strategy, one benchmark-first asset
Full walk-forward validation
Parameter sensitivity ±20%
Bear market stress tests
Monte Carlo significance
Cross-timeframe check
PASS / CAUTION / FAIL verdict
Verdict within 24 hours
1 asset€99
Multi-Asset
€179 per report
Same strategy, validated across 3 benchmark assets
Everything in Standard × 3 assets
Cross-asset robustness score
Per-asset + unified verdict
Saves €118 vs buying separately
Tier 1 benchmark defaults available
Customer choice still supported
Verdict within 24 hours
3 assets€179
Pro
€279 per report
Comprehensive — up to 6 assets across benchmark families
Everything in Multi-Asset
Up to 6 assets of your choice
Crypto + stocks + forex + commodities mix
Portfolio drawdown analysis
Strategy durability score
Saves €315 vs buying separately
Verdict within 24 hours
Up to 6 assets€279

All tiers include the same validation depth. Better benchmark choice creates stronger robustness evidence than random asset count.

Optional next step

Implementation review available when more confidence is needed

Most customers only need the validation report. For selected strategies, TradeAudit can also provide a follow-up implementation review when there is still meaningful uncertainty around execution, market fit, or whether forward behavior is staying credible enough before live capital is considered.

What it is
A higher-touch follow-up review for validated strategies where TradeAudit helps observe forward behavior and documents whether confidence is improving or breaking down.
When it fits
Best used when the strategy looks promising, but the client still wants more implementation confidence before thinking about real capital.
How we frame it
Not a required step. Not a live trading service. It is a selective follow-up capability offered when it adds genuine decision value.
Why this can matter

Historical backtesting is the foundation, but serious validation often goes beyond a single historical run. Industry references from CFA Institute and TradeStation describe simulation, sensitivity analysis, and walk-forward or out-of-sample review as useful complements when deciding whether confidence should increase before live capital is considered.

Where to start

A cleaner starting path when you are not sure which market to choose

Many customers do not know the best first market or timeframe. TradeAudit treats that as part of the product, not as homework for the customer.

1. Strategy type
Trend-following, breakout, mean-reversion, pullback continuation, or mixed.
2. Intended market
Crypto, forex, equities, or commodities.
3. Intended timeframe
Daily first by default, then intraday only if the strategy clearly needs it.
4. Confidence level
Early idea, promising candidate, or near-implementation ready.
Default routing logic

If the customer is unsure where to begin, we recommend the most strategy-relevant Tier 1 benchmark first, then only widen to another benchmark if the first result actually earns broader validation.

Starter pack

Benchmark-first starting ideas

When the strategy claim is broad, the first market should still be specific. These are the default starting points we trust most.

Crypto trend logic
BTCUSDT
Best first test for whether a crypto strategy behaves credibly on a liquid benchmark.
Major FX logic
EURUSD
Best first test for whether a strategy survives on a broad major-currency benchmark.
US equity logic
SPY
Best first test for whether the logic survives on a highly watched equity benchmark.
Cross-family stress
XAUUSD
Useful next test when the strategy claims portability beyond one narrow market family.
Scope

Validated across the liquid benchmarks that matter most

We do not optimize for random asset count. We start with the most decision-relevant liquid benchmarks across crypto, forex, equities, and commodities, then expand only when the strategy earns broader validation. That gives customers stronger robustness evidence than simply testing more symbols for the sake of it.

Coverage philosophy

TradeAudit does not just test whether a strategy works somewhere. We test whether it holds up on the liquid benchmarks that matter most for real decision quality.

Crypto
BTCUSDTETHUSDTSOLUSDTBNBUSDT
Tier 1 defaults: BTC and ETH. Secondary expansion: selected large-cap alts only when they add real robustness evidence.
Equities, ETFs & Commodities
SPYQQQXAUUSDWTIIWMAAPL
Tier 1 defaults: SPY, QQQ, Gold, and WTI. Secondary expansion: IWM and selected high-demand equities.
Forex
EURUSDUSDJPYGBPUSDAUDUSDUSDCADUSDCHF
Tier 1 defaults: EURUSD and USDJPY. Secondary expansion: other major pairs only when the strategy looks structurally portable.
Cross-market validation built around benchmark relevance
A stronger validation path is not more symbols. It is the right mix of liquid benchmarks across market types.
1D4H1H15m5m
Forex benchmark-first rule

For forex, the professional move is usually EURUSD first, USDJPY second, and GBPUSD third before making broader pair claims. That is more valuable than jumping straight into random crosses or exotics.

How our engine works

What the numbers actually mean

Before you trust a verdict, you should understand how it was produced. Here is exactly how our validation engine calculates every metric in your report.

Compounding
Returns use compounding — not fixed position sizes

Each trade is sized as a percentage of your current equity, not a fixed dollar amount. A +30% trade followed by a +20% trade gives a combined return of +56% — not +50%. This matches how real trading works and is consistent with TradingView's default backtest settings (default_qty_type = percent_of_equity, 100%). Every metric in your report reflects this compounded growth, not a sum of flat returns.

TW Parity
Results are verified against TradingView — trade by trade

Before any strategy enters our production pipeline, we run a parity check: our Python engine must produce the same trades, same entries, same exits as TradingView's Pine Script backtest on the same data. If they diverge, the strategy is rejected until the discrepancy is explained. This means the PF, DD, and return figures in your report are consistent with what you would see in TradingView — not a different calculation method producing different numbers.

Max DD
Max drawdown is measured from peak equity — not from starting capital

A −44% max drawdown means the strategy fell 44% from its highest equity point during the test period — not 44% from the initial investment. If you start with €1,000, grow to €8,000, then drop to €4,480, the drawdown is −44% from the peak. This is the industry-standard measure and is what TradingView also reports. It matters because a strategy that grew 10× before a drawdown is very different from one that dropped 44% from the start.

PF
Profit factor measures edge quality — not return size

Profit factor = total gross profit ÷ total gross loss. A PF of 2.0 means the strategy generates €2 in gains for every €1 lost. PF is more meaningful than raw return because it is independent of time period and leverage. A strategy with PF 3.0 and 10 trades has stronger evidence of edge than one with PF 1.6 and 200 trades. Our threshold is PF ≥ 1.5 to pass — derived from institutional practice, not arbitrary.

Costs
0.1% commission per trade is included in every result

All backtest results include 0.1% commission per trade (Binance standard) plus realistic slippage. A strategy that looks great before fees but fails after is rejected before it reaches you. This is one of the most common ways retail backtests mislead — platforms like TradingView show gross results by default unless you manually configure costs.

Bottom line: The return figure in your report is what a trader using 100% equity allocation with 0.1% fees per trade would have achieved historically, compounded. It is not a projection. It is a historical simulation on real price data, cross-validated against TradingView, and subject to the limitations of any backtest — past performance does not guarantee future results.

Methodology transparency

Independent validation only works if the process is visible

Financial strategy claims need more than a glossy equity curve. TradeAudit explains the testing path, the decision logic, the benchmark choice, and the risk framing so the report can be inspected rather than just admired.

Data and scope
Benchmark-first markets, declared timeframe, declared cost assumptions, and named hostile periods.
Validation logic
Walk-forward review, nearby parameter checks, benchmark comparison, and implementation-aware next-step guidance.
Trust boundary
TradeAudit does not provide investment advice, custody, broker services, or live-trading guarantees.
Independent evidence
Sample report evidence
Customers can inspect the report structure, verdict language, metrics, and next-step framing before paying.
Case-style interpretation
The product now shows how one strategy can be benchmark-valid, caution-worthy, or split-by-market rather than pretending every edge is universal.
Compliance-minded framing
TradeAudit states clearly that reports are informational research outputs and not regulated investment advice.
Common questions
Is my strategy safe Will you copy it
No. We run your strategy through our validation workflow and delete the submission after delivery. Our business depends on trust, professional strategy audits, and long-term reputation — not on using, trading, or distributing client strategy data. We do not resell, reuse, or share your submission.
What if I don't have Pine Script
You can describe your strategy in plain text — entry conditions, exit conditions, stop loss, timeframe. We handle the translation.
How is this different from running my own backtest
Your own backtest tests one scenario on one dataset — and you decide if the result is good enough. We run walk-forward validation across multiple time periods, test parameter sensitivity (±20%), run bear market stress tests against named historical events, and produce a written verdict with reasoning. We have no incentive to approve your strategy.
What if I do not know which market or timeframe to start with
That is common, and it is part of what you are paying us to help solve. Every paid validation begins with a quick strategy-fit review where we identify the most relevant starting market and timeframe before the full validation runs.
Can one strategy use the same settings across every asset
Not always. A strategy can remain viable across several assets while still behaving differently from one market to another. Part of TradeAudit's job is to identify whether one shared configuration still looks appropriate, or whether separate market-specific profiles would likely be more robust.
Why do you start with certain assets first instead of just testing many symbols
Because more symbols alone do not create better evidence. We start with the most liquid, decision-relevant benchmarks across crypto, forex, equities, and commodities. That gives a stronger read on robustness than a long arbitrary asset list.
What does the sample report look like
A professional 7-section document: verdict summary, full metrics, walk-forward split table, parameter sensitivity, bear market event log, cross-timeframe breakdown, and written recommendations. See the full sample report above or in the navigation.
How long does it take
Reports are delivered within 24 hours of payment confirmation.
Do you support intraday strategies
Yes. We support 1D, 4H, 1H, 15m, and 5m timeframes. Intraday strategies are tested on the same validation pipeline — walk-forward, sensitivity, and bear market segments adapted to the timeframe.
Does your backtest use compounding or a fixed amount per trade
Compounding. Each trade is sized as 100% of current equity, exactly matching TradingView's default settings. A +30% trade followed by a +20% trade returns +56% combined — not +50%. All return figures in your report reflect this compounded growth.
Are your results consistent with what I see in TradingView
Yes, by design. Every strategy in our pipeline undergoes a parity check — our Python engine must produce the same trade entries and exits as TradingView's Pine Script backtest on the same data, trade by trade. If they diverge, the strategy does not enter production. So when your report says PF 3.93, that matches what you would see in TradingView for the same strategy with 0.1% commission enabled.
What is paper-trading, and why do serious traders use it
Paper-trading means following the strategy with simulated trades instead of risking real capital. It is widely used by brokers, exchanges, and professional education programs because it lets traders observe real-time signal behavior, execution discipline, and market fit before money is on the line. Done properly, it is usually a slow and disciplined process that requires patience over time as well as enough understanding to verify signals and triggers correctly instead of reacting emotionally or inconsistently.
Do I need paper-trading after validation
Not always. Many customers only need the validation report. A follow-up implementation review only makes sense when there is still meaningful uncertainty around execution, market fit, or whether the strategy should earn more confidence before any live deployment is even considered.
Why not just go live if the report says paper-trade next
Because historical validation and implementation readiness are different questions. A strong report can still justify paper-trading first when execution discipline, signal handling, or forward confidence has not earned a live-capital recommendation yet.
Why would a follow-up review add anything beyond a backtest
Because backtesting is only one part of serious validation. Professional workflows often add out-of-sample review, simulation, stress testing, and sensitivity analysis before live capital is considered. A selective implementation review is not meant to replace the backtest or prove live success. It is a limited extra step for cases where more confidence, or a more defensible next-step decision, is worth the time.
Can the right recommendation ever be not to widen to more assets yet
Yes. Sometimes the most honest next step is to keep one market and one timeframe fixed until the evidence is strong enough to justify broader expansion. TradeAudit treats unnecessary widening as a risk, not automatically as progress.
What kind of follow-up support does TradeAudit offer after validation
For selected strategies, TradeAudit can provide a higher-touch implementation review. That may include forward observation, structured evidence capture, and a clearer recommendation on whether confidence is improving, more refinement is needed, or the strategy should not be progressed further.
What does 'Can I deploy this tomorrow' actually require
Our report answers whether the strategy has historical edge. That still does not automatically mean it should be deployed tomorrow. In some cases the safest next step is simply to stop. In others, a selective implementation review may help clarify whether confidence is improving before any live capital is considered.
The Validation Letter

Monthly insights for serious strategy builders

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Shape the product

Request a feature or improvement

We build TradeAudit based on what serious strategy builders actually need. If there is a test, metric, asset class, or report format you would find valuable — tell us. High-voted requests get built first.

TEST
New test type
Kelly Criterion sizing, Calmar ratio, custom bear events, market-state detection
MARKET
New asset or market
Forex pairs, US equities, commodities, additional crypto assets
REPORT
Report format
PDF / JSON / CSV exports, multi-strategy comparison, version history, custom metrics
Share a feature request →

All submissions are read. Popular requests are prioritised in the build queue.

Stop guessing. Get a verdict.

We help you decide where a strategy should be tested, whether the edge looks real, and what the safest next step is before live capital is considered.

Submit your strategy - from EUR 99

Crypto · Stocks · Forex · 5 timeframes · PASS / CAUTION / FAIL · 24h delivery