What's a Good Win Rate for Stock Signals? (The Honest Answer)

By Marcus Webb · June 18, 2026 · 6 min read

If you've shopped for stock signals, you've seen the claims: "95% win rate." "98% accuracy." "9 out of 10 winners." They sound impressive. They're also the single biggest red flag in the entire industry. Here's what a good win rate actually looks like — and why it's lower than the marketing wants you to believe.

The short answer

For honestly-tracked, stop-loss-first swing-trading signals, a realistic win rate sits roughly between 45% and 60%. Anything advertised above ~70% — and certainly 90%+ — is almost always the product of deleting losing trades. And here's the twist most people miss: a lower win rate can be more profitable than a higher one.

Why "95% win rate" is a red flag, not a selling point

A genuine strategy that cuts losers at a stop-loss does not sustain a 90%+ hit rate at retail scale. If it did, the operator would be running a hedge fund, not selling a Telegram subscription. So when you see "95%," ask one question: "Can I see the complete, timestamped history — including the losses?"

🚩 The mechanism: post lots of signals, quietly delete the ones that hit their stop, screenshot the winners, and advertise the survivors. The "95%" is real arithmetic — performed on a sample with the losses erased.

The number that matters more than win rate: expectancy

Win rate alone tells you almost nothing about profit. What matters is expectancy — your average outcome per trade:

Expectancy = (Win % × Average Win) − (Loss % × Average Loss)

Consider two services:

Service AService B
Win rate70%45%
Average win+2%+6%
Average loss−5%−2%
Expectancy / trade−0.1%+1.6%

Service A wins far more often — and loses money. Service B wins less than half the time and is strongly profitable, because its winners dwarf its losers. Win rate is a vanity metric; expectancy is the scoreboard.

What a realistic, profitable track record looks like

For full transparency, here's ours, verified against real market prices and published in full:

Win rate (decided)47.7% — yes, under 50%
Average win+4.06%
Average loss−2.79%
Expectancy per signal+0.47% — positive
Sample214 decided signals (every loss published)

A 47.7% win rate isn't something we hide — it's the proof we're not faking. The system is profitable because the wins are bigger than the losses, and you can verify every trade yourself.

How to judge a win rate when you see one

  1. Over 70% with no public history? Assume losses were deleted.
  2. Ask for the average win vs. average loss. If they can't tell you, they're not measuring profit.
  3. Check the methodology. Is a trade that hit its stop counted as a loss even if it later recovered? It should be.
  4. Demand a sample size. "80% over 5 trades" is noise. You want hundreds of decided trades.
  5. Look for independent verification — a public results page or API beats any screenshot.

The bottom line

A good win rate for stock signals is a believable one — roughly 45–60%, backed by a complete public record, with average wins larger than average losses. If a service brags about 95%, that isn't excellence. It's the tell. Judge expectancy and transparency, not the headline percentage.

See a believable track record — and verify it.

Free daily signals. Every win and loss public. No card.

📊 Get a Free Signal on Telegram

⚠️ Disclaimer: MarketPulseBot provides AI-generated stock analysis for educational purposes. This is not financial advice. Past performance does not guarantee future results. Always do your own research.

📚 Related Posts
→ Are Telegram Stock Signals a Scam? How to Verify Any Track Record → Are AI Stock Signals Worth It? An Honest 2026 Breakdown → Why We Publish Every Losing Trade → We Audited Our Own Win Rate — Here's What We Found