Less noise. Better setups.

By the Reversal Labs team · Published · Updated

What the platform does, and how the algorithms work.

Market Radar scans hundreds of thousands of instruments — stocks, crypto, funds, ETFs, indices — every trading day and surfaces the setups worth a second look. When a signal fires, you see its historical track record on that exact instrument right next to it, so you can judge the setup before you trade it.

Three reasons it works

Broad reach

We scan everything

Hundreds of thousands of instruments across 70+ exchanges checked every day. You pick the corner of the market you care about.

Two algorithm families

Trend reversal + mean reversion

Two complementary lenses on the market — each catches setups the other misses. More on how they work below.

Proof, not promises

Every signal is backtested

You see the historical P&L and win rate for the same algorithm on the same instrument — so you judge each setup in context.

How the algorithms work

Every signal is the output of a deterministic algorithm that reads market data — price, volume, momentum — and fires only when a specific, testable condition is met on a bar close. Two families of algorithms power the platform:

  • Mean reversion algorithms detect when price has stretched unusually far from its short-term average and bet on a snap-back. They fire most often on volatile and range-bound instruments.
  • Trend reversal algorithms detect when the directional regime of an instrument flips — from uptrend to downtrend or vice versa — and bet on the new direction running.


What we cover

The algorithms run every trading day across:

  • 70+ stock exchanges (US, Nordic, Europe, Asia, Americas) — roughly 194,000 listed instruments
  • Top cryptocurrencies by liquidity on Binance
  • Listed ETFs and mutual funds, including Swedish PPM funds
  • Currencies, commodities and major indices on weekly bars

Coverage keeps expanding. Any instrument with enough clean history for the algorithms to calibrate is eligible.


Learn the system

Go deeper on the methodology, the ideas behind it, and how to use signals in practice.