Generated 47d ago · 2026-04-16T21:33:46Z · expires 2026-04-19
Thesis invalidated — closed -2.08%.
- Conviction was high (74/100) but the trade lost — a calibration miss the reflection loop should weight.
- Max adverse excursion hit -2.08% — the stop did its job containing downside at the planned invalidation level.
- Planned at 2.0:1 R:R — one loss at this ratio is expected variance; the edge is in the aggregate, not any single call.
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 ALCH. The data-engine computes TA for the top ~10 assets proactively; on-demand fetch for ALCH should populate within a minute on the next refresh.
Open Chart Lab for ALCHCandles + 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".
- 4h ADX confirms trend strength.
- 1h ADX says trend strength is still soft.
- FredAI memory aligns with the live structure read.
- Candidate quality is 66.4 and the desk still classifies the setup as ready for publication.
- RSI TREND REENTRY replay (latest asset) scored 40.1, returned 46.86%, win rate 100.0%.
- FredAI keeps the setup on watch. STOCHASTIC REVERSAL is graded B in current memory. Policy confidence 68.7.
- ADX is near 35.1, so trend force is present but follow-through still needs monitoring.
- The stop band sits near $0.0800, and any failure to move cleanly away from entry should be treated as an early warning.
- Model risk fallback used after: scheduler fast path.
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. Simulation leadership is dominant with a clear winner. Strategy command is defensive.
The desk is still defensive here, so the setup only works if invalidation stays tight and follow-through appears quickly. Simulation leadership is dominant with a clear winner. Strategy command is defensive. ALCH cleared the desk with the LONG case leading on structure, while the opposing case remains tactical rather than dominant.
Technical analyst memo
Indicators
{
"rsi14": 55.21,
"macd": {
"macd": 0,
"signal": 0,
"histogram": 0
},
"bollingerBands": {
"upper": 0.1,
"middle": 0.08,
"lower": 0.05,
"width": 56.35
},
"sma20": 0.08,
"sma50": 0.07,
"sma200": 0.07,
"ema12": 0.08,
"ema26": 0.08,
"atr14": 0.01,
"stochastic": {
"k": 45.4,
"d": 45.94
},
"adx14": 35.08,
"obv": 104425.76380999996
}Signals
{
"trend": "bullish",
"momentum": "neutral",
"volatility": "high",
"macdCross": "none",
"bbPosition": "inside",
"smaTrend": "none",
"patterns": []
}Composite
{
"bullScore": 7.5,
"bearScore": 5,
"overallBias": "bull"
}Timeframes
{
"15m": {
"asset": "ALCH",
"timestamp": 1776375087466,
"price": 0.08161,
"indicators": {
"rsi14": 46.08,
"macd": {
"macd": 0,
"signal": 0,
"histogram": 0
},
"bollingerBands": {
"upper": 0.08,
"middle": 0.08,
"lower": 0.08,
"width": 4.08
},
"sma20": 0.08,
"sma50": 0.08,
"sma200": 0.08,
"ema12": 0.08,
"ema26": 0.08,
"atr14": 0,
"stochastic": {
"k": 38.23,
"d": 42.66
},
"adx14": null,
"obv": -205932.51963
},
"signals": {
"trend": "neutral",
"momentum": "neutral",
"volatility": "low",
"macdCross": "none",
"bbPosition": "inside",
"smaTrend": "golden_cross",
"patterns": [
"Doji"
]
},
"composite": {
"bullScore": 5,
"bearScore": 5.5,
"overallBias": "neutral"
}
},
"1h": {
"asset": "ALCH",
"timestamp": 1776375087466,
"price": 0.08161,
"indicators": {
"rsi14": 47.7,
"macd": {
"macd": 0,
"signal": 0,
"histogram": 0
},
"bollingerBands": {
"upper": 0.09,
"middle": 0.08,
"lower": 0.08,
"width": 12.34
},
"sma20": 0.08,
"sma50": 0.08,
"sma200": 0.07,
"ema12": 0.08,
"ema26": 0.08,
"atr14": 0,
"stochastic": {
"k": 35.92,
"d": 46.53
},
"adx14": 12.91,
"obv": -306432.53714999993
},
"signals": {
"trend": "bullish",
"momentum": "neutral",
"volatility": "high",
"macdCross": "none",
"bbPosition": "inside",
"smaTrend": "golden_cross",
"patterns": [
"Doji"
]
},
"composite": {
"bullScore": 6.5,
"bearScore": 5.5,
"overallBias": "bull"
}
},
"4h": {
"asset": "ALCH",
"timestamp": 1776375087467,
"price": 0.08161,
"indicators": {
"rsi14": 55.21,
"macd": {
"macd": 0,
"signal": 0,
"histogram": 0
},
"bollingerBands": {
"upper": 0.1,
"middle": 0.08,
"lower": 0.05,
"width": 56.35
},
"sma20": 0.08,
"sma50": 0.07,
"sma200": 0.07,
"ema12": 0.08,
"ema26": 0.08,
"atr14": 0.01,
"stochastic": {
"k": 45.4,
"d": 45.94
},
"adx14": 35.08,
"obv": 104425.76380999996
},
"signals": {
"trend": "bullish",
"momentum": "neutral",
"volatility": "high",
"macdCross": "none",
"bbPosition": "inside",
"smaTrend": "none",
"patterns": []
},
"composite": {
"bullScore": 7.5,
"bearScore": 5,
"overallBias": "bull"
}
},
"1d": {
"asset": "ALCH",
"timestamp": 1776375087467,
"price": 0.08161,
"indicators": {
"rsi14": 57.97,
"macd": {
"macd": 0,
"signal": 0,
"histogram": 0
},
"bollingerBands": {
"upper": 0.08,
"middle": 0.07,
"lower": 0.05,
"width": 38.43
},
"sma20": 0.07,
"sma50": 0.07,
"sma200": 0.11,
"ema12": 0.07,
"ema26": 0.07,
"atr14": 0.01,
"stochastic": {
"k": 48.96,
"d": 47.3
},
"adx14": 43.02,
"obv": 1500073.4347999995
},
"signals": {
"trend": "neutral",
"momentum": "neutral",
"volatility": "high",
"macdCross": "none",
"bbPosition": "above_upper",
"smaTrend": "death_cross",
"patterns": []
},
"composite": {
"bullScore": 5.5,
"bearScore": 6,
"overallBias": "neutral"
}
}
}Sentiment analyst memo
Risk officer memo
- 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 39.
- 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
- Strategy lab is fragile, so fast-path confidence is capped
- STOCHASTIC_REVERSAL is graded B in current memory
- overfit penalty is elevated at 24.0
- replay remains supportive with score 40.1
- LONG desk bias has 100 confidence
FredAI policy
- STOCHASTIC_REVERSAL is graded B in current memory
- overfit penalty is elevated at 24.0
- replay remains supportive with score 40.1
- LONG desk bias has 100 confidence