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AI crypto trading signals, explained

Updated 2026-08-28 · 894 signals tracked

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

How AI crypto signals are generated

Drishti Pro reads dozens of live market features per asset — price momentum, order-book pressure, funding rates, open interest, volatility and macro context — and asks a large language model (Anthropic Claude) to decide whether there is a high-quality trade, and if so, at what entry, stop-loss and pair of take-profit targets — TP1, the win line, and TP2, the stretch target. Every signal carries a confidence and a written rationale. A new cycle runs about every 15 minutes across Bitcoin, Ethereum and other perpetual futures on Delta Exchange India.

Why a public track record is the only thing that matters

Most signal services show you screenshots of winners and quietly delete the losers, so their advertised win rates are meaningless. Drishti Pro does the opposite: every closed signal stays on the record, win or lose, and the win rate and average reward-to-risk are computed from that full history. That transparency is the whole point — you can judge the system on evidence, not marketing.

How to read a signal

• Direction — long (expecting up) or short (expecting down).
• Entry — the price the idea is valid from.
• Stop-loss — where the idea is wrong and the trade is cut.
• Take-profit 1 (TP1) — the win line: hitting it before the stop scores the signal a win, and the stop then moves up to TP1.
• Take-profit 2 (TP2) — the stretch target the position rides toward after TP1, with risk locked at TP1.
• Reward-to-risk (R) — how much is targeted per unit risked; Drishti Pro averages 1.27.

New to the terms? Read the guides on how to read a crypto signal and what AI crypto signals are, or check whether crypto signals are worth it.

Why targets sit inside a fixed reward-to-risk band

Every signal's targets are clamped by a risk gate before publication, not left to the model's judgment alone. TP1 and TP2 must fall within a 1.0-to-1.5 reward-to-risk band relative to the stop. A trade that risks one unit can target at most one and a half units of reward. That ceiling exists to stop the model from chasing outsized targets that are unlikely to fill. It is also the reason the average across the record sits at 1.27 inside that band, rather than at the upper bound. A signal with a wider band is not automatically better. It is a specific bet on how far price can move before the setup invalidates. Compare a BTCUSD signal to an AAVEUSD one on the same day and the band usually looks similar even though the assets behave very differently.

Confidence scores and the Brier check

Beyond the confidence score and rationale published with every signal, Drishti Pro also asks the model to state its own outcome probability for the call. After the signal closes, that probability is graded with a multiclass Brier score, a standard test of whether stated confidence matches actual outcomes. A forecaster whose confidence lines up with reality scores well. One that overstates or understates its odds gets penalized. This check runs on every closed signal, separate from the win rate itself. The full pipeline, including the 144 engineered features and 13 live data sources behind each cycle, is documented on the methodology page.

Long trades versus short trades

Not every direction performs the same. Drishti Pro tracks long and short signals separately: 64.3% win rate across 557 long signals, versus 50.3% across 193 shorts. A gap between the two is normal in a market that trends more often in one direction than the other over any given stretch. It does not mean one direction is inherently smarter. It means the recent Bitcoin, Ethereum and altcoin trend favored one side, something you can verify signal by signal. Treat the split as a diagnostic, not a rule to trade around.

What a 24-hour expiry means

Not every signal ends at a target or a stop. Some sit open for a full day without either level being touched, and the system closes them on a 24-hour expiry instead. Drishti Pro has logged 135 of these across the full record. Expiries are published on the ledger like any other signal, but they are excluded from the win-rate denominator because neither outcome actually happened. That is a deliberate scoring choice, not a way to hide losses. An expired signal still shows its full price path on its track record entry. You can also read the rationale that was given for it at the time.

How wide is the real range behind the win rate

A single win-rate number hides how much statistical noise sits underneath it. Drishti Pro publishes a 95% confidence interval alongside the headline figure: 57.1% to 64.1%, computed over 894 signals and 750 decisive outcomes. A wide interval means the sample is still small enough that the true long-run rate could sit anywhere in that band. It narrows as more signals close. This is the same statistical caution that applies to any trading system with a limited track record, crypto or otherwise. For a longer look at how other public and paid signal services report their numbers, and where the gaps usually are, see the win-rate benchmark.

Trading these signals from India

Drishti Pro's signals target perpetual futures on Delta Exchange India, so India's virtual digital asset tax rules apply, not general trading rules.

• Gains on crypto derivatives are taxed at a flat 30% under Section 115BBH, plus applicable cess.
• Losses cannot be set off against other income, and they cannot be carried forward to future years.
• A 1% TDS applies under Section 194S.
• Gains must be reported under Schedule VDA in your income tax return.
• Only exchanges registered with FIU-IND can legally serve Indian users, and crypto itself is not legal tender in India.

None of this is tax advice. Confirm current rules with a chartered accountant before filing. The free Varsity course covers margin, funding and liquidation mechanics before you size a position around any signal.

What Drishti Pro signals can't tell you

A signal is not a guarantee and not personalized advice. The model has no knowledge of your account size, your existing positions, or your appetite for risk. Every stop and target is sized the same way for everyone reading it. The published win rate is a historical average, not a forecast for the next signal. Each new cycle can land on either side of it. Slippage, funding costs and the latency between a signal firing and an order filling are not modeled. Real-world execution can move your results away from the numbers on the ledger. A short public history also means the system has not yet run through a full bull-and-bear market cycle. None of this is unique to Drishti Pro. It is true of any signal service, and the ones that hide it are worth distrusting the most.

See Drishti Pro's live signals Get the app

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.