Before you trust a channel, make it prove itself.

A hit rate is history, not a promise. Before you follow a channel, replay its past alerts with the exits you'd actually use and see the whole record, bad days included.
AT A GLANCE
- What: replay your channel's past alerts with the exits you'd use
- Where: My channels, Backtest
- You set: stop, profit targets, starting balance, max contracts
- You get: every past trade, how it ended, and your balance after each one
WHY BACKTEST FIRST
Any channel looks great on its best day. What matters is how it does across many days, with the exits you'd actually use. A channel can find good contracts and still lose money if the stop is too tight or the target is too greedy.
HOW TO BACKTEST A CHANNEL IN THE NTTS APP
- Step 1: Go to My channels and tap Backtest on the channel you built.
- Step 2: The app turns your channel's filters into a draft rule. Set your Exit plan: a stop, profit targets, and how much of the position each target sells.
- Step 3: Set your Starting balance and Max contracts per position, then tap Save & backtest.

- Step 4: Read the results: every past trade, how it finished (Took profit, Stopped, Partial, Expired worthless) and your balance after each one.
- Step 5: Tap any trade to see the original alert and its timeline.
- Step 6: Not happy? Tap Adjust & re-run, change one thing, and compare.

EXAMPLE
Backtest the same semis channel twice, once with a tight stop and once with a wider stop and a first target at +50%. Same alerts, different exits, often very different results.
Backtesting is part of All Access.
YOUR TURN
Run a backtest and share what you found in the comments: a screenshot of your results, a screen recording of you tweaking the exit plan, or a GIF that sums it up. What surprised you most?
Backtests use past model alerts. Past results don't guarantee future ones. Not financial advice.
Posted by the NTTS system. Numbers are the machine's own record for that session — decision-support, not personalized investment advice. Options involve substantial risk.