Most alert services are just one trader screaming calls in Discord. We built an intelligent engine that scores, filters, and delivers only high-probability setups.
March 2026 Results
| Date | Trades | W | L | P & L (pts) | Cumulative |
|---|---|---|---|---|---|
| Mar 9 | 3 | 3 | 0 | +71.0 | +1,420 |
| Mar 11 | 3 | 0 | 3 | -34.5 | +730 |
| Mar 12 | 3 | 3 | 0 | +89.0 | +2,510 |
| Mar 13 | 6 | 4 | 2 | +84.5 | +4,200 |
| Mar 16 | 3 | 2 | 1 | +34.8 | +4,896 |
| Mar 17 | 5 | 3 | 2 | +35.0 | +5,596 |
| Mar 18 | 3 | 2 | 1 | -2.8 | +5,540 |
| Mar 19 | 5 | 2 | 3 | +13.8 | +5,816 |
| Mar 20 | 2 | 2 | 0 | +75.0 | +7,316 |
| Mar 23 | 3 | 3 | 0 | +64.0 | +8,596 |
| Mar 24 | 2 | 0 | 2 | -35.3 | +7,890 |
| Mar 25 | 3 | 2 | 1 | +22.1 | +8,332 |
| Mar 26 | 3 | 3 | 0 | +68.0 | +9,692 |
| Mar 27 | 4 | 3 | 1 | +53.5 | +10,762 |
| Mar 30 | 2 | 1 | 1 | +34.0 | +11,442 |
| Mar 31 | 2 | 0 | 2 | -20.0 | +11,042 |
| Total | 52 | 33 | 19 | +552.1 pts | +11,042 |
The Way of the Jade Ninja
Our engine continuously monitors NQ futures across all timeframes, detecting displacement events, structural shifts, and liquidity sweeps in real time.
Multi-point scoring evaluates each setup. HTF bias alignment, displacement quality, institutional price levels, and session timing all feed into a single confluence score.
ML confidence filter and smart risk management ensure only high-probability setups pass through. Position sizing and stop levels are calculated before you ever see the alert.
Clean, actionable alerts hit your Telegram instantly. Entry, stop, targets, and the reasoning behind each trade -- all delivered in seconds.
The Problem
Techniques
Every setup is scored across multiple ICT dimensions. No single-indicator trades. The engine requires agreement from multiple independent signals before alerting.
Trades only fire in the direction of higher-timeframe structure. Daily and 4H bias must align before a 15m or 5m entry is considered valid.
Not all displacements are equal. The engine measures velocity, volume, and candle body ratio to filter for only institutional-grade price moves.
A machine learning layer evaluates regime context and recent price behavior to assign a confidence score. Low-confidence environments are automatically filtered.
Dynamic stop-loss placement based on ATR and structure. Position sizing adapts to volatility. Targets are set at logical institutional levels, not arbitrary ratios.
Session-specific logic gates ensure the engine respects macro timing. London open, NY AM, NY PM -- each session has its own behavioral model and thresholds.
Performance
| Quarter | Trades | Wins | Win Rate | P & L | Profit Factor |
|---|---|---|---|---|---|
| Q1 2025 | 118 | 64 | 54.2% | +$31,600 | 3.31 |
| Q2 2025 | 113 | 62 | 54.9% | +$25,600 | 2.73 |
| Q3 2025 | 88 | 48 | 54.5% | +$21,800 | 2.96 |
| Q4 2025 | 110 | 57 | 51.8% | +$28,600 | 3.12 |
| Q1 2026 | 111 | 73 | 65.8% | +$38,200 | 4.73 |
| Total | 540 | 304 | 56.3% | +$145,800 | 3.30 |
Results based on 1 NQ contract. Quality and win rate do not diminish when scaling to multiple contracts. Past performance does not guarantee future results.
Daily Briefing
Every morning at 7:30 AM ET, our AI scans overnight price action, key levels, and institutional signals to deliver your game plan.
NQ rallied 825 pts overnight but bearish signals dominate structure.
• Primary bias: short setups off resistance
• Reduce size — chop risk elevated
NQ rallied 825 pts from midnight open but structure is bearish — counter-trend bounce into resistance with 10 AMD reversals suggesting institutional distribution.
• 10 bearish AMD/V-reversals — selling at higher prices
• Displacements mixed (39 bull vs 40 bear) — choppy
• HTF trend confirms bearish on higher timeframes
Look for shorts off failed retracements. If bears fail and you see bullish displacement above ON high — flip bias.
If price sweeps ON high (25,257) and closes above with bullish displacement — flip to long setups.
Sample briefing from a real trading day. Content updates daily at 7:30 AM ET.
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