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Are crypto signals worth it?

Updated 2026-08-28 · 894 signals tracked

• 60.7%Win rate
• 1.27Avg R
• 50TP2 hits
• 894Signals

Why most crypto signals are not worth it

The typical paid Telegram or Discord signal group advertises a huge win rate, then deletes the trades that went wrong. Screenshots of winners prove nothing when the losers vanish. Others are pure affiliate funnels — the "best signals" lists ranking them are paid placements, not honest reviews. If you can't audit the full history including the losing trades, the win rate is meaningless.

What actually makes a signal worth following

• A public, complete record — every closed trade, winners and losers, never deleted.
• Risk defined up front — an entry, a stop-loss and explicit take-profit targets, so each call is testable.
• A real sample size — dozens or hundreds of closed signals, not a lucky week.
• Honest metrics — win rate and average reward-to-risk, because a 40% win rate at 2R can still be profitable.

How Drishti Pro is different

Drishti Pro's entire signal history is public and permanent. The headline numbers — 60.7% win rate, 1.27 average reward-to-risk, over 894 closed signals — are computed from that full ledger, losses included. It is free, and you can read the reasoning behind each call. That doesn't guarantee profit — crypto is risky — but it lets you judge the system on evidence instead of screenshots.

Learn more: how accurate are AI trading signals and how AI crypto signals work.

How to verify any signal service's track record

Do not take a headline win rate on faith. Five checks separate a real track record from marketing, and they apply to Drishti Pro just as much as to anyone else.

• Timestamps that predate the trade. A signal logged before the outcome is known cannot be edited after the fact; the methodology page covers how and when each call is generated.
• Open and closed positions shown together, so a losing trade cannot stay unresolved while only wins get announced. A real ledger lists both.
• A sample size past the point of noise. Ten signals tell you nothing about skill; hundreds start to.
• A confidence interval, not a single number. Drishti Pro's 60.7% win rate sits inside a 95% range of 57.1%–64.1%, and that range narrows as 894 grows.
• Something to compare it against. The win-rate benchmark page lines up public systems side by side, so a number in isolation doesn't have to stand for itself.

A worked example of how one signal gets scored

Behind each call, a feature pipeline pulls data from more than a dozen live sources and hands it to a language model that proposes the trade with temperature locked at zero. A separate code check verifies the reward-to-risk math before anything gets published. The engineering page has the full breakdown.

Every entry ships with a stop-loss and two take-profit levels. The reward-to-risk is clamped between 1.0 and 1.5 before publication, so no call promises an unrealistic payout. Each signal also carries a self-reported probability of hitting its target. That probability gets graded after the fact with a Brier score, a standard check on whether a stated confidence was honest rather than optimistic.

Of the 894 signals closed so far, 750 hit a decisive take-profit or stop-loss, and 135 ran out the 24-hour clock without touching either. Expiries stay on the ledger, but they're excluded from the win-rate figure, because a trade that never resolved isn't a win or a loss. 50 of the winning calls went on to hit the tighter second target too. That's one signal of how much room winners tend to run past the minimum required reward.

Long versus short: what the split reveals

A system that only calls longs looks brilliant in a bull run and useless in a drawdown. Splitting the ledger by direction is the honest way to check for that bias.

Drishti Pro's longs win 64.3% of the time across 557 signals. Its shorts win 50.3% across 193. A gap between the two doesn't mean the system is broken. It means the model reads one side of the market better right now, and that can shift as conditions change. Download the raw numbers from the public dataset and check the split yourself instead of trusting the summary.

What the system watches, and what it can't do

The universe is fixed at 11 perpetuals: six crypto majors and two smaller alt tokens, plus two gold-backed contracts and one silver-backed contract. Metals sit alongside crypto so the same model faces calmer, less correlated markets too, not just one kind of volatility.

A public ledger proves the system isn't hiding losses. It doesn't solve everything else that decides whether following it pays off.

• It doesn't know your position size, leverage, or personal risk tolerance. Those decide your outcome as much as the call itself.
• It can't price in slippage, funding fees, or an exchange going down mid-trade.
• The record only starts on 22 July 2026, so 894 signals is a real sample but still a young one.
• None of it is investment advice. Verify the reasoning behind a call yourself instead of acting on the headline number alone.

Even a winning signal doesn't escape India's tax rules. Gains on crypto derivatives are taxed at a flat 30% under section 115BBH, plus cess, with no loss set-off or carry-forward. A 1% TDS applies under section 194S on many transactions, and every trade needs reporting in Schedule VDA. A win on paper still owes tax. A loss gets no relief against it. Factor that in before deciding whether any signal, including this one, is worth following.

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Educational & illustrative only — not investment advice. Drishti Pro publishes AI-generated trade ideas and their public track record for information. Crypto is volatile and you can lose money. Nothing here is a recommendation to buy or sell any asset. Do your own research.