Under the hood, every signal is built from two layers of analysis working together. The first layer runs eighteen classic technical factors — price action, support and resistance, trend direction, volume, RSI, MACD, moving average stacking, Bollinger Bands, Fibonacci retracement, Ichimoku Cloud, momentum, volatility, swing structure, candle strength, and more. The second layer is a full Smart Money Concepts (SMC) engine that reads institutional-style price structure: Break of Structure, Change of Character, Fair Value Gaps, Order Blocks, liquidity sweeps, and premium/discount positioning — the same concepts professional and institutional traders use to read where "smart money" is likely positioned.
The bot also checks live market sentiment and positioning data — the Fear & Greed Index, funding rates, open interest, and the long/short ratio — to see whether the crowd is overly one-sided, which often signals a reversal.
All of these signals are combined into a single confidence score. If agreement across all these factors is too low (under 55%), the bot deliberately refuses to give a trade — it displays "NO TRADE RIGHT NOW" rather than force a guess, which is a core part of its philosophy: only speak up when the evidence actually lines up.
When it does give a signal, the user picks a risk level first — Low Risk (wider stop, 1–3 day hold, 3x–8x suggested leverage), Medium Risk (swing trade, 2–8 hour hold, 10x–20x), or High Risk (fast scalp, 15–60 minute hold, 25x–50x) — and the bot calculates an entry price, a take-profit level, and a stop-loss, all based on real ATR volatility and real structural levels, not arbitrary percentages. Every level comes with a plain-English explanation of why that exact price was chosen.
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