Results often swing because of a few repeated behaviors: overtrading after a loss, weak hours, size creeping up. TDLab finds them in your history, measures what they cost and lets you test the fix before you adopt it.
Deterministic behavior detection. No signals. No predictions.
Discipline OS · Priority 01
Post-loss overtrading
58 independent episodes · 85 trades
ActualWith the rule
Simulated recovery+0 USD
Rule30-min cooldown after a loss
Real interface · recorded sample, not expected results
Sound familiar?
One session wipes out a good week
Losses come in clusters, almost always after a first stop.
Same strategy, swinging results
The setup is the same, but something in the execution changes day to day.
You know you slip, not what it costs
Without a number it is hard to know which mistake to fix first.
From pattern to rule.
Five steps, all calculated on your real trades.
01
Import your real history
Sync MT4, MT5 or cTrader, or upload a file. Closed trades with an open time are enough; stop loss also unlocks the risk checks.
Import / Sync
02
Find the negative patterns
Deterministic detectors scan your history: overtrading after a loss, size rising after a loss, weak time blocks and weekdays, rules drifting. For each one you see the trades involved, the independent episodes and the measured cost.
Discipline OS
03
See what to fix first
Corrections are ranked by priority: simulated recovery, recurrence across weeks, confidence and how targeted the rule is. One clear priority, not a list of generic tips.
Discipline OS · Priority
04
Test the fix on your past trades
Replay your history with the recommended rule and compare actual and simulated equity, win rate and drawdown. TDLab also tells you when the effect stands out from noise.
Rule Simulator
05
Turn it into a rule and follow it
Save the rule to Account Rules, declare session limits before trading and track adherence after every sync. The Behavior Score rises only when you actually trade differently.
Account Rules · Behavior Score
Three tools, in detail.
What each one does, what you get and which data it needs.
Discipline OS. Find what costs you, then test the fix.
17 deterministic detectors scan your history for behavioral patterns, such as overtrading after a loss, weak time blocks or rules drifting, and rank them by measured impact. Every finding links to the trades involved and to a rule you can verify in the Simulator before adopting it.
One priority correction with simulated recovery and independent episodes.
Behavior Score and Process Score, kept separate on purpose.
From finding to rule: simulate it, adopt it, then track adherence after every sync.
No signals and no predictions: only what happened in your trades.
Needs: enough closed trades; some detectors also need stop loss or open time.
Product interface · recorded example. Values refer to the displayed sample, not expected results.Scroll the preview or open it full screen.
Strategy Tracking. Know if your edge still holds.
Define each strategy and its versions, assign trades to the model you actually executed, and follow results per version and per account. When you change the model, the previous version and its history stay intact, so comparisons stay honest.
Performance per strategy and version: net P&L, Expected Value in R, profit factor, win rate and drawdown.
Setup adherence from your Trade Review answers, kept separate from calculated checks.
Monitors that freeze a baseline and compare new trades against it.
The same strategy across several accounts, with currencies kept separate.
Product interface · recorded example. Values refer to the displayed sample, not expected results.Scroll the preview or open it full screen.
Market Lab. Context, before you decide.
COT positioning, seasonality and central bank rates for the markets you follow, in one place. Use it on its own as a research tool or, once your trades are in, see how your results change across contexts.
COT: Commercial positioning with percentile over 6 months, 1 and 2 years.
Seasonality over 5, 10 and 20 years.
Policy rates and differentials for currencies and indices.
Your performance by context, when your trades allow it.
Works without imported trades; the personal comparison needs them.
Have a partner code? Enter it at checkout. The total with your country's taxes is shown at checkout.
Before you start.
Answers to the most common questions, and what the terms you'll see in TDLab mean.
Is it useful if I'm already profitable?
Yes. Follow each strategy by version, compare new trades against a baseline and catch early when execution or results start to change. You don't need to start from a problem.
Does it work with prop-firm accounts?
Yes. TDLab works with the platform, not the broker: if your challenge runs on MT4, MT5, cTrader or another supported platform, you import the trades like any other account.
How do I import my trades?
With automatic sync for MT4, MT5 and cTrader, or by uploading your platform's export file. Every format has a step-by-step guide in Docs.
Which platforms do you support?
MT4, MT5 and cTrader, including automatic sync. TradingView, Tradovate and NinjaTrader through their export files. For anything else there's the custom CSV import. Don't see yours? Ask us to support it.
Do I need a stop loss on every trade?
No. Most analyses work with closed trades alone. Stop loss and open time unlock a few extra checks, such as risk: TDLab tells you which ones instead of guessing them.
Do simulations predict future results?
No. The Rule Simulator replays a rule on your past trades and tells you whether the effect stands out from noise. No signals, no predictions, no orders blocked on your platform.
What does the free trial include?
14 days without a card, with every module except Market Data and AI chat: 1 account, 100 trades, 10 simulations and 200 MB of attachments. No automatic charge when it ends.
Can I cancel or get a refund?
You can cancel anytime: renewal stops and access stays active until the end of the period. On your first payment you can ask for a refund within 14 days by contacting support.
Is my data safe?
We don't sell your data or share it with other users. You can turn on two-factor authentication, export everything or delete your account at any time.
R (R multiple)
A result expressed in multiples of your initial risk. +2R means you made twice what you risked.
Expected Value
What you expect on average from each trade, in R: (win rate × average win) − (loss rate × average loss).
Profit factor
Gross profit divided by gross loss. Above 1, a strategy makes more than it loses.
Win rate
The share of trades closed in profit. On its own, it doesn't tell you whether a strategy works.
Drawdown
The largest drop from a previous account peak. It measures how painful the path to the result was.
Baseline
A frozen reference: a version's trades and metrics at a given moment, compared with the trades that follow.
Setup Adherence
How often you followed your strategy's steps, based on your Trade Review answers.
Risk Adherence
Whether you respected the limits declared before the session, such as max trades and max loss.
Independent episode
A separate repetition of a behavior. Trades close together in time count as a single episode, so one bad afternoon doesn't count as ten.
Cooldown
A pause after a loss: for N minutes you don't open new trades.
Distinguishable from noise
The simulated improvement is large enough that chance alone can't explain it, at 90% confidence.
COT · Commercials
The CFTC's weekly report on futures positioning. Commercials are participants hedging a real business exposure.
Seasonality
How a market has moved on average through the year, over 5, 10 or 20 years.
Your tradesalready have the answers.
Import them and see what they've been telling you.
