About EntryPips & how our signals are made
EntryPips is an AI-assisted trading-signal service covering 270+ instruments across forex, crypto, metals and US stocks. Each signal gives a concrete entry, take-profit and stop-loss, plus a plain-English explanation of why it fired. This page explains exactly how those signals are generated — we'd rather show our method than make vague accuracy claims.
An 18-source technical ensemble
Every instrument is analysed by 18 independent technical models spanning trend (Supertrend, Donchian, Ichimoku, HTF alignment), momentum (RSI/MACD, Stochastic), mean-reversion (Bollinger), volatility (ATR breakout), volume (OBV, VWAP), classic support/resistance (pivots, swing structure), and an AI read of the chart. Each model votes a direction with a confidence; the votes are combined into a single signal.
Per-pair tuning, not one-size-fits-all
Indicator settings adapt to each instrument's own volatility regime, so a quiet range pair like EURUSD and a fast mover like BTCUSDT are never treated the same — stop distances, Supertrend sensitivity and the trend/range thresholds all scale to the pair. Each source is also weighted by its recent realised win-rate on that specific pair, so models that have actually worked there count for more.
Strict quality gates
Most setups never become signals. A signal is only published when it clears minimum confidence, a minimum 1.5:1 reward-to-risk, multi-source agreement, and a high-impact-news check. We deliberately favour fewer, higher-conviction signals over noise, and we keep at most one open trade per pair and timeframe.
Radical transparency
Every signal's outcome — win, loss, expiry, with estimated profit/loss — is recorded publicly in the app's Record tab. We show the real track record rather than a marketing win-rate, because a signal service is only as good as its verifiable results.
Risk disclaimer
EntryPips provides educational technical analysis and signals, not personalised financial advice. Trading forex, crypto, stocks and commodities carries substantial risk of loss and is not suitable for everyone. Never risk more than you can afford to lose. Past performance does not guarantee future results.