How EntryPips generates its signals
EntryPips builds each signal from an ensemble of 18 independent technical models, combines their votes, tunes the settings to each pair's volatility, and only publishes setups that clear strict quality gates. No single indicator decides a trade — confluence does.
1. Eighteen independent sources vote
Trend models (Supertrend, Donchian, Ichimoku, higher-timeframe alignment), momentum (RSI/MACD, Stochastic), mean-reversion (Bollinger), volatility breakouts (ATR), volume (OBV, VWAP), support/resistance (pivots, swing structure) and an AI read of the chart each cast a directional vote with a confidence score.
2. Votes are weighted by what actually works
Each source is weighted by its recent realised win-rate on that specific pair, so a model that has performed on, say, GBPJPY counts for more there than one that hasn't. A correlation/theme layer can nudge the call when global conditions warrant.
3. Settings adapt to each pair
Indicator parameters scale to each instrument's own volatility regime — stop distances, Supertrend sensitivity and trend-vs-range thresholds differ for a calm pair like EURUSD versus a fast one like BTCUSDT. Settings shift live as a pair's volatility changes.
4. Strict quality gates
A signal is only published when it clears a minimum confidence, at least a 1.5:1 reward-to-risk, multi-source agreement, and a high-impact-news check. Most candidate setups are rejected — the goal is fewer, higher-conviction calls, with at most one open trade per pair and timeframe.
5. Tracked, then explained
Once live, each signal is monitored to its outcome — take-profit, stop-loss or expiry — and recorded publicly with estimated profit/loss. Every signal also ships with a short, human-readable analysis of why it fired.
More on the levels themselves: what entry, TP and SL mean →
Educational content, not financial advice. Trading carries risk of loss.