Tokenized Stock Contract Verification
Verify strategies on tokenized-stock perpetuals — the market is young, so history is short but the data is real.
Disclaimer: Trading financial instruments involves risk. Backtested results are simulated from historical data and do not guarantee future performance. This page is education only — not financial advice.
15-Minute RWA verification
RWA verification on 15-minute bars over up to 90 days of history, with realistic costs. Validate your strategy before risking real money.
5-Minute RWA verification
RWA verification on 5-minute bars over up to 90 days of history, with realistic costs. Validate your strategy before risking real money.
1-Minute RWA verification
RWA verification on 1-minute bars over up to 60 days of history, with realistic costs. Validate your strategy before risking real money.
Why verify across many time windows?
A rule that looks strong on one stretch of history may simply have been lucky with where that stretch began. Verification splits the same history into many non-overlapping windows, replays the rule on each of them, and shows whether the conclusion holds — or flips — depending on where you start.
What you get
Many windows, not one run
The same history is cut into non-overlapping windows and replayed repeatedly, with the boundaries shuffled each round so no single split defines the answer.
Readable, unextrapolated results
You get the median window return, the worst window, the deepest drawdown and how many windows were profitable — figures taken from the windows themselves, not scaled up into an annual number.
Shown next to doing nothing
Every result sits beside simply holding the instrument over the same windows, so you can see whether the rule actually added anything.
Key concepts
Window
One continuous stretch of historical bars, cut from the same data as every other window and never overlapping with it.
Split sensitivity
How much the conclusion moves when you change where a window starts and ends. A wide gap between the best and the worst window is the clearest sign that a single run proves little.
Deepest drawdown
The largest fall from a peak within any window — the number that answers how much you would have had to sit through.
A walkthrough from idea to result
- 1
Write the rule down first
Decide entry, exit and position size before opening the tool. Adjusting them after seeing results turns verification into curve-fitting.
- 2
Choose the market and interval
Pick the instrument and timeframe you actually care about, then let the same rule run across every window of that data.
- 3
Read the distribution, not one number
Start with how many windows were profitable and the median window return, then look at the worst window and the deepest drawdown.
- 4
Check it against holding
If the rule only barely beats holding the instrument over the same windows, that is worth knowing before spending more time on it.
Mistakes traders make
✗ Quoting only the best window
✓The best window is an extreme picked out of many. Report the median, the worst and the drawdown together, or the number means little.
✗ Scaling a short window's return up into an annual figure
✓Short windows are not a year. Compounding a few weeks of return up to twelve months multiplies the figure many times over and invites the wrong conclusion.
✗ Treating many profitable windows as a promise
✓Windows are different cuts of the same data rather than independent samples, and past or simulated performance is not future performance.
When this tool fits — and when it does not
Use it when
- ✓You saw a strategy described somewhere and want to know how robust it is
- ✓Your own rule worked on one period and you want to know whether that was luck
- ✓You want to compare a rule against simply holding the instrument
Skip it when
- ✗Expecting a forecast of future returns
- ✗Treating a published result as advice, a rating or a recommendation
Practical tips that actually help
Fix the rule before you look
Write the strategy down, then run it. Rewriting it after each result is how a rule gets fitted to the past.
Look at the spread before the average
A narrow spread between the best and worst window means the result travels well; a wide one means the answer depends on where you start.
Keep the method reproducible
Each run records the seed used to cut the windows, so the same set of windows can be rebuilt and the conclusion re-checked.
Frequently asked questions
How is this different from a normal backtest?▾
A backtest replays a rule over one chosen stretch of history. Verification cuts the same history into many non-overlapping windows, repeats that with different boundaries, and shows how much the conclusion moves.
Does it tell me what the strategy will earn?▾
No. It measures how stable a rule's behaviour was on historical data, which is evidence about the rule rather than a forecast.
Why do my numbers differ from a result I saw elsewhere?▾
Instrument, timeframe, cost assumptions, window boundaries and parameter choices all change the outcome. The seed used to cut the windows is recorded so a run can be rebuilt.
Do I need an account?▾
Published results are open to read. Running your own strategy in the workspace and keeping its history requires signing in.
Where does the price data come from?▾
From stored historical market data, replayed with commission and slippage applied. The verification method itself is reproducible.
Verification results are produced for educational and research purposes on historical data. They are not investment advice, and the platform does not recommend, rate or rank strategies.
Disclaimer: The tools and content on this site are provided for educational purposes only and do not constitute investment advice. Trading and investing involve a substantial risk of loss, and past performance does not guarantee future results.