Generated 92d ago · 2026-04-16T22:24:18Z · expires 2026-04-18
Thesis played out — closed +14.63%.
- Ran to +26.71% at peak but closed +14.63% — gave back 12.08pts. A trailing stop would have captured more of the move.
- Planned at 2.0:1 reward-to-risk — a favorable payoff structure that paid off this time.
Derived deterministically from stored entry/target/stop levels, peak PnL, and max adverse excursion. No model inference — every line maps to a number in the ledger.
No TA cached for M. The data-engine computes TA for the top ~10 assets proactively; on-demand fetch for M should populate within a minute on the next refresh.
Open Chart Lab for MCandles + Bollinger bands (20·2σ) + SMA 20/50 overlays + price-action arrows (engulf / breakout / reclaim / reject) + support and resistance zones. Toggle layers from the panel controls. For the full workspace with presets and split timeframes, click "Full workspace".
- 1d RSI is hot, but the trend still holds.
- 1d ADX confirms trend strength.
- 4h RSI is hot, but the trend still holds.
- Candidate quality is 85.5 and the desk still classifies the setup as still on the watch lane.
- BOLLINGER REVERSAL replay (latest asset) scored 24.1, returned 17.25%, win rate 100.0%.
- FredAI keeps the setup on watch. BOLLINGER REVERSAL is still graded C and warming. Policy confidence 61.5.
- ADX is near 44.1, so trend force is present but follow-through still needs monitoring.
- The stop band sits near $3.4216, and any failure to move cleanly away from entry should be treated as an early warning.
- This remains a provisional setup, so size should stay lighter and time-to-proof should stay shorter.
See the bull vs bear showdown
Side-by-side debate with score visualizer, individual argument cards, and verdict synthesis. The marketing-grade view of how the thesis was built.
The desk is still defensive here, so the setup only works if invalidation stays tight and follow-through appears quickly. Recent evidence is still fresh. Strategy command is defensive.
The desk is still defensive here, so the setup only works if invalidation stays tight and follow-through appears quickly. Recent evidence is still fresh. Strategy command is defensive. M cleared the desk in provisional posture, so size should stay smaller and decay should happen faster if follow-through stalls.
Technical analyst memo
Indicators
{
"rsi14": 79.98,
"macd": {
"macd": 0.18,
"signal": 0.09,
"histogram": 0.09
},
"bollingerBands": {
"upper": 3.56,
"middle": 2.95,
"lower": 2.35,
"width": 41.14
},
"sma20": 2.95,
"sma50": 2.81,
"sma200": 2.29,
"ema12": 3.17,
"ema26": 2.99,
"atr14": 0.18,
"stochastic": {
"k": 77.85,
"d": 76.14
},
"adx14": 44.13,
"obv": 656054.9933999999
}Signals
{
"trend": "bullish",
"momentum": "overbought",
"volatility": "high",
"macdCross": "none",
"bbPosition": "above_upper",
"smaTrend": "golden_cross",
"patterns": [
"Bullish Harami"
]
}Composite
{
"bullScore": 8.5,
"bearScore": 7,
"overallBias": "bull"
}Timeframes
{
"15m": {
"asset": "M",
"timestamp": 1776378111174,
"price": 3.6916,
"indicators": {
"rsi14": 61.91,
"macd": {
"macd": 0.06,
"signal": 0.07,
"histogram": -0.01
},
"bollingerBands": {
"upper": 3.72,
"middle": 3.65,
"lower": 3.57,
"width": 4.09
},
"sma20": 3.65,
"sma50": 3.44,
"sma200": 3,
"ema12": 3.67,
"ema26": 3.61,
"atr14": 0.06,
"stochastic": {
"k": 83.74,
"d": 92.71
},
"adx14": 21.14,
"obv": 108355.90981000003
},
"signals": {
"trend": "bullish",
"momentum": "overbought",
"volatility": "normal",
"macdCross": "none",
"bbPosition": "inside",
"smaTrend": "golden_cross",
"patterns": [
"Dark Cloud Cover"
]
},
"composite": {
"bullScore": 7.5,
"bearScore": 5.5,
"overallBias": "bull"
}
},
"1h": {
"asset": "M",
"timestamp": 1776378111174,
"price": 3.6916,
"indicators": {
"rsi14": 82.26,
"macd": {
"macd": 0.23,
"signal": 0.18,
"histogram": 0.05
},
"bollingerBands": {
"upper": 4.03,
"middle": 3.24,
"lower": 2.46,
"width": 48.33
},
"sma20": 3.24,
"sma50": 3.01,
"sma200": 2.8,
"ema12": 3.5,
"ema26": 3.28,
"atr14": 0.12,
"stochastic": {
"k": 77.85,
"d": 77.61
},
"adx14": 36.79,
"obv": 271174.39822000015
},
"signals": {
"trend": "bullish",
"momentum": "overbought",
"volatility": "high",
"macdCross": "none",
"bbPosition": "inside",
"smaTrend": "golden_cross",
"patterns": []
},
"composite": {
"bullScore": 8.5,
"bearScore": 6,
"overallBias": "bull"
}
},
"4h": {
"asset": "M",
"timestamp": 1776378111175,
"price": 3.6916,
"indicators": {
"rsi14": 79.98,
"macd": {
"macd": 0.18,
"signal": 0.09,
"histogram": 0.09
},
"bollingerBands": {
"upper": 3.56,
"middle": 2.95,
"lower": 2.35,
"width": 41.14
},
"sma20": 2.95,
"sma50": 2.81,
"sma200": 2.29,
"ema12": 3.17,
"ema26": 2.99,
"atr14": 0.18,
"stochastic": {
"k": 77.85,
"d": 76.14
},
"adx14": 44.13,
"obv": 656054.9933999999
},
"signals": {
"trend": "bullish",
"momentum": "overbought",
"volatility": "high",
"macdCross": "none",
"bbPosition": "above_upper",
"smaTrend": "golden_cross",
"patterns": [
"Bullish Harami"
]
},
"composite": {
"bullScore": 8.5,
"bearScore": 7,
"overallBias": "bull"
}
},
"1d": {
"asset": "M",
"timestamp": 1776378111175,
"price": 3.6916,
"indicators": {
"rsi14": 80.17,
"macd": {
"macd": 0.3,
"signal": 0.26,
"histogram": 0.04
},
"bollingerBands": {
"upper": 3.27,
"middle": 2.65,
"lower": 2.03,
"width": 46.69
},
"sma20": 2.65,
"sma50": 2.04,
"sma200": 1.83,
"ema12": 2.84,
"ema26": 2.54,
"atr14": 0.31,
"stochastic": {
"k": 80.13,
"d": 74.48
},
"adx14": 59.77,
"obv": 2456874.8239599997
},
"signals": {
"trend": "bullish",
"momentum": "overbought",
"volatility": "high",
"macdCross": "bullish_cross",
"bbPosition": "above_upper",
"smaTrend": "golden_cross",
"patterns": [
"Bullish Engulfing"
]
},
"composite": {
"bullScore": 9.5,
"bearScore": 7,
"overallBias": "bull"
}
}
}Sentiment analyst memo
Risk officer memo
- RSI 80.0 is stretched; follow-through may fade quickly.
- Model risk fallback used after: scheduler fast path
Directional decision
Calibrated debate
- Scheduler fast path used deterministic thesis synthesis to preserve execution speed.
- Fast-path direction gate: strategy_commander_conflict at 38.
- Strategy commander: Strategy lab is weak here, so AI should stay defensive.
- Strategy lab: Strategy lab is fragile, so AI should stay selective and avoid forcing a simulation story.
- Live learning: Recent thesis expired after partial progress; the idea can recycle sooner if structure improves again.
- FredAI watch state has a directional spread
- Desk edge is weak, so provisional relaxation is disabled
- Strategy commander conflicts with the desk direction
- BOLLINGER_REVERSAL is still graded C and warming
- overfit penalty is elevated at 24.0
- replay remains supportive with score 24.1
- LONG desk bias has 100 confidence
FredAI policy
- BOLLINGER_REVERSAL is still graded C and warming
- overfit penalty is elevated at 24.0
- replay remains supportive with score 24.1
- LONG desk bias has 100 confidence