Example one: intraday stock breakout validation
A trader starts from a public stock page, adds the symbol to the watchlist, waits for the setup to stay valid, and runs a live backtest to test whether the stop-loss framing holds through the session.
- Start from public stock context
- Check invalidation before entry
- Track whether the move still makes sense after entry
Example two: index options validation
An options trader uses the public options watchlist or index page first, then tests whether the selected contract still behaves correctly once the session opens. This is especially useful when premium movement becomes emotional quickly.
- Start from index tone and ATM watchlist
- Run a live backtest to test contract behaviour
- Review stop-loss discipline after the session
Example three: multiday swing review
A swing trader runs a live backtest to test whether a stock can stay above invalidation across sessions. The goal is not to simulate perfection. The goal is to test whether the process remains coherent over time.
These are workflow examples, not historical performance claims. The point is to show how the process should be validated.
- Carry the setup over multiple sessions
- Review whether the invalidation logic still holds
- Compare the public thesis against actual behaviour
How to read the simulated results
Live Backtesting places simulated orders that fill at the last-traded price. Slippage, bid-ask spread, brokerage, taxes, and liquidity are not modelled, so the numbers in these examples describe process quality rather than achievable returns.
- Fills are last-traded price, not a real matched trade
- No transaction costs are deducted from simulated P&L
- Large simulated sizes ignore available market depth
- Expect live execution to differ from any simulated result
FAQ
Why publish live backtesting examples on the public site?
Because examples are easier to share and understand than product copy alone. They let new users see what validation-first behaviour actually looks like.
Do these examples replace running an actual live backtest?
No. They explain the method. The actual Live Backtesting workflow still happens inside the main app.
How closely do these simulated results match live execution?
Not closely. Simulated orders fill at the last-traded price with no slippage, spread, brokerage, or liquidity modelled, so live outcomes will differ.
What is the best next step after reading these examples?
Review the Live Backtesting page, the trade-accuracy methodology, and then create an account if the workflow fits what you need.