Algorithmic crypto signals: how Ezath decides to BUY, SELL or WAIT
A rule-based engine reads trend, momentum, volatility and market regime on BTC, ETH and SOL. We keep the exact formula private, but here's the honest shape of what happens.
1. We watch the market continuously
Our engine pulls live candles for BTC, ETH and SOL across three timeframes, 1-hour, 4-hour, and 1-day. The 1-hour catches faster moves; the daily shows the bigger picture; the 4-hour sits in between. Each market and timeframe is scored independently — a BUY on the 1-hour says nothing about the daily.
2. We classify the market regime first
Before scoring any setup, the engine asks what kind of market it's in: trending, squeezing toward a breakout, ranging between levels, or transitioning between regimes. The same indicator reading means different things in different regimes — a momentum spike in a trend is a continuation cue; the identical spike inside a range is usually noise. Most signal services skip this step. It's the one we'd keep if we could only keep one.
3. We run a multi-factor model on every update
Each candle is scored against multiple dimensions: trend direction (e.g. position vs long-period moving averages), momentum and momentum shifts, overbought/oversold state, volatility, and volume confirmation. No single indicator triggers anything. Only when enough independent factors agree — in a regime where that agreement historically matters — does the engine call a BUY or SELL, with a 1-10 conviction score reflecting how strongly the factors align.
4. We're strict about when to stay out
If the factors disagree, or the move is weak, we call WAIT. Sitting in cash is often the right trade. Most signal services hide this because activity sells subscriptions; an algorithmic system has no such incentive. WAIT is the most common output of the engine, by design.
5. We set your entry, stop, and reference targets
Entry is the current price zone. The stop-loss is computed from ATR — a volatility gauge — so your risk scales with how jumpy the market is right now rather than a fixed percentage. Take-profits (TP1, TP2, TP3) are reference points sized for a healthy reward-to-risk, not orders you must hit blindly. You're a trader, not a robot: if you're in profit and the move is losing steam, taking it is a valid decision.
6. We write a short explanation
A deterministic engine decides; an AI layer explains. Every signal includes a short, beginner-friendly explanation of why the setup exists, so you're never handed a black-box buy button. Pro users get a deeper dive with scenarios to watch for.
7. We keep score, publicly
Every 1-hour, 4-hour and daily call is hashed (SHA-256) and chained to the previous one before its outcome is known, then resolved against live Binance candles — win, loss or flat. You can audit the entire history on the track record page; nothing can be quietly edited or deleted without breaking the chain.
Our job is to read the market with consistent, rule-based logic and hand you a clean, actionable setup. Your job is to trade it with judgment. Our TP levels are references based on historical volatility, not laws of physics. If you're in profit but still far from TP1 and the move looks exhausted, take it. Markets reward the disciplined, not the mechanical.
Prefer hands-off? The optional Auto-Trader can place and manage these signals on your own exchange account. Read the full FAQ →
No signal service wins 100% of the time, ours doesn't either. Our edge is discipline: always trading with the broader trend, waiting for multiple confirmations, and sitting out when the market is messy. Size positions small. Never risk money you can't afford to lose.
Algorithmic signals FAQ
What makes a signal 'algorithmic'?+
The decision is produced by fixed, rule-based logic applied to market data — the same inputs always produce the same output. No analyst moods, no discretionary overrides, no quietly changing the rules after a bad week. Ezath's engine is algorithmic for the decision and uses an AI layer only to explain it in plain language.
Is this machine learning predicting prices?+
No. The engine doesn't claim to predict the future — it identifies conditions where, historically, the odds and the reward-to-risk have been favorable, and defines the exact level (the stop-loss) where the idea is wrong. Probabilities, not prophecies: a meaningful share of signals lose, in public, on the record.
Why don't you publish the exact formula?+
The factor families are public (trend, momentum, volatility, volume, regime); the exact weights and thresholds are not, because an edge that's fully published stops being one. What we publish instead is something better for you: every output the formula has ever produced, hash-chained so it can't be rewritten. Judge the engine by its record, not by its marketing.
Can the signals be executed automatically?+
Yes, optionally. The Auto-Trader executes qualifying signals on your own exchange account using trade-only API keys — it places the entry, stop-loss and take-profits, and manages the exit with the risk settings you choose. It's included with Pro and covered by its own risk acknowledgement.
Is this financial advice?+
No. Ezath publishes the same research output to every user — it knows nothing about your finances and never gives personalized investment advice. Crypto futures are high risk; never trade money you can't afford to lose.