See how your strategy performed historically
Select your trading conditions, and we'll analyze approximately two years of NSE historical data to show how often similar setups reached the target before the stop loss. Historical results only—not predictions or investment advice.
For research and educational purposes only — not investment advice.
Start with a ready-made setup
Build your setup
Pick the conditions that define your setup and leave anything you don't care about blank. Every condition is tested using only the data that was available on each historical day — no hindsight.
How far price is from its 60-day high. e.g. −4 to 1 = coiled just under the breakout.
Average daily price swing. e.g. 3 to 6 = a steady, tradable range.
Up over the last 20 days but quiet over the last 10 — a pause after a move.
Momentum gauge (0–100). e.g. 40 to 70 = strong but not overbought.
How far above/below the 50-day average. e.g. −3 to 8 = near support, not extended.
Skip illiquid or penny stocks. e.g. 50 to 5000.
We check whether price reached your target gain before falling to your stop loss, within the chosen window.
What history shows
Small sample — read with cautionBroken down by market condition
| Market condition | Occasions | Reached target | Median move |
|---|
These figures cover roughly the last two years of NSE price history, so they reflect recent conditions rather than a full market cycle. "Reached target" counts how often price touched the target inside the window — it does not assume a real entry, exit, slippage or costs. Past performance does not indicate future results. For research and education only; this is not investment advice.
How it works
What we measure
We scan every past trading day across NSE stocks and find each occasion your conditions were met. For each one we then look forward 10–20 trading days and record how often price reached your target, how often it hit your stop first, and the typical move — giving you a historical hit rate instead of a hunch.
How to read the results
A broad universe gives a healthy sample, but two years only spans a couple of market conditions — so always check the breakdown below the headline numbers. A small sample (flagged above) or a result driven by a single condition is less reliable. This is a study of what happened, not a forecast or a recommendation.