Generated 41d ago · 2026-04-23T02:54:39Z · expires 2026-04-24
Thesis invalidated — closed -0.59%.
- Max adverse excursion hit -0.59% — 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 YFI. The data-engine computes TA for the top ~10 assets proactively; on-demand fetch for YFI should populate within a minute on the next refresh.
Open Chart Lab for YFICandles + 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.
- 1d structure leans constructive.
- Candidate quality is 62.5 and the desk still classifies the setup as ready for publication.
- SMA CROSS replay (latest asset) scored 14.0, returned 7.00%, win rate 100.0%.
- FredAI allows the setup, but size should stay conservative. SMA CROSS is still graded C and warming. Policy confidence 48.5.
- Historical lane Swing Long still reads constructively: Closed-history edge is fragile, so the desk should keep conviction and sizing tighter than normal.
- ADX is near 26.5, so trend force is present but follow-through still needs monitoring.
- The stop band sits near $2777.6000, 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. 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. YFI 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": 52.72,
"macd": {
"macd": 34.65,
"signal": 34.38,
"histogram": 0.26
},
"bollingerBands": {
"upper": 2910.55,
"middle": 2777.6,
"lower": 2644.65,
"width": 9.57
},
"sma20": 2777.6,
"sma50": 2730.82,
"sma200": 2570.41,
"ema12": 2811.45,
"ema26": 2776.81,
"atr14": 39.87,
"stochastic": {
"k": 37.6,
"d": 64
},
"adx14": 26.5,
"obv": -19.091269500000028
}Signals
{
"trend": "bullish",
"momentum": "neutral",
"volatility": "high",
"macdCross": "none",
"bbPosition": "inside",
"smaTrend": "golden_cross",
"patterns": []
}Composite
{
"bullScore": 7.5,
"bearScore": 5,
"overallBias": "bull"
}Timeframes
{
"15m": {
"asset": "YFI",
"timestamp": 1776912707248,
"price": 2793,
"indicators": {
"rsi14": 28.96,
"macd": {
"macd": -15,
"signal": -14.78,
"histogram": -0.21
},
"bollingerBands": {
"upper": 2851.32,
"middle": 2810.4,
"lower": 2769.48,
"width": 2.91
},
"sma20": 2810.4,
"sma50": 2841.26,
"sma200": 2811.24,
"ema12": 2800,
"ema26": 2815,
"atr14": 4.24,
"stochastic": {
"k": 27.66,
"d": 27.28
},
"adx14": 38.93,
"obv": 6.775719279999999
},
"signals": {
"trend": "bearish",
"momentum": "oversold",
"volatility": "low",
"macdCross": "none",
"bbPosition": "inside",
"smaTrend": "golden_cross",
"patterns": [
"Doji"
]
},
"composite": {
"bullScore": 6,
"bearScore": 8.5,
"overallBias": "bear"
}
},
"1h": {
"asset": "YFI",
"timestamp": 1776912707248,
"price": 2793,
"indicators": {
"rsi14": 38.51,
"macd": {
"macd": -1.43,
"signal": 8.82,
"histogram": -10.25
},
"bollingerBands": {
"upper": 2890.22,
"middle": 2841.8,
"lower": 2793.38,
"width": 3.41
},
"sma20": 2841.8,
"sma50": 2811.34,
"sma200": 2726.33,
"ema12": 2825.44,
"ema26": 2826.87,
"atr14": 15.2,
"stochastic": {
"k": 14.29,
"d": 18.32
},
"adx14": 24.8,
"obv": 9.997262380000002
},
"signals": {
"trend": "neutral",
"momentum": "oversold",
"volatility": "low",
"macdCross": "none",
"bbPosition": "below_lower",
"smaTrend": "golden_cross",
"patterns": [
"Doji"
]
},
"composite": {
"bullScore": 6,
"bearScore": 6.5,
"overallBias": "neutral"
}
},
"4h": {
"asset": "YFI",
"timestamp": 1776912707249,
"price": 2793,
"indicators": {
"rsi14": 52.72,
"macd": {
"macd": 34.65,
"signal": 34.38,
"histogram": 0.26
},
"bollingerBands": {
"upper": 2910.55,
"middle": 2777.6,
"lower": 2644.65,
"width": 9.57
},
"sma20": 2777.6,
"sma50": 2730.82,
"sma200": 2570.41,
"ema12": 2811.45,
"ema26": 2776.81,
"atr14": 39.87,
"stochastic": {
"k": 37.6,
"d": 64
},
"adx14": 26.5,
"obv": -19.091269500000028
},
"signals": {
"trend": "bullish",
"momentum": "neutral",
"volatility": "high",
"macdCross": "none",
"bbPosition": "inside",
"smaTrend": "golden_cross",
"patterns": []
},
"composite": {
"bullScore": 7.5,
"bearScore": 5,
"overallBias": "bull"
}
},
"1d": {
"asset": "YFI",
"timestamp": 1776912707249,
"price": 2793,
"indicators": {
"rsi14": 59.92,
"macd": {
"macd": 61.49,
"signal": 36.74,
"histogram": 24.76
},
"bollingerBands": {
"upper": 2871.46,
"middle": 2625.5,
"lower": 2379.54,
"width": 18.74
},
"sma20": 2625.5,
"sma50": 2586.72,
"sma200": 3476.63,
"ema12": 2710.11,
"ema26": 2648.62,
"atr14": 97.81,
"stochastic": {
"k": 79.31,
"d": 83.15
},
"adx14": 19.96,
"obv": -667.6945963900009
},
"signals": {
"trend": "bullish",
"momentum": "neutral",
"volatility": "high",
"macdCross": "none",
"bbPosition": "inside",
"smaTrend": "death_cross",
"patterns": []
},
"composite": {
"bullScore": 7,
"bearScore": 5,
"overallBias": "bull"
}
}
}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 live theses aged out without enough follow-through, so the desk is reducing priority until structure refreshes.
- 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
- SMA_CROSS is still graded C and warming
- overfit penalty is elevated at 20.0
- replay remains supportive with score 14.0
- LONG desk bias has 100 confidence
FredAI policy
- SMA_CROSS is still graded C and warming
- overfit penalty is elevated at 20.0
- replay remains supportive with score 14.0
- LONG desk bias has 100 confidence