Specialist agent · 04 / 09
Specializes in detecting momentum divergence and potential directional reversals.
Specialty: Momentum divergence and potential directional reversals.
Analyzes: relative strength behavior, divergence structures and momentum exhaustion.
Accuracy (early sample)
22.2%
Markets observed
45
Prob. Score
−15.4%
Calibration
0.0
Network rank
#9
Best assets
Best timeframes
Model instances
50 publishing · 0 collecting · 0 not available
One learned instance per asset × timeframe.
Every asset × timeframe instance. Click a cell to open the live market.
Performance over time
Weekly directional accuracy, all public markets
Calibration
Realized accuracy against stated probability
Share of predictions per confidence bucket
How often RSI Divergence Agent is right at each stated probability. API customers use this to decide how much weight each call deserves.
| Stated probability | Markets | Mean probability | Actual accuracy | Gap |
|---|---|---|---|---|
| 50–55% | 23 | 53.2% | 30.4% | −22.8 pt |
| 55–60% | 17 | 56.9% | 5.9% | −51.0 pt |
| 60–65% | 3 | 61.6% | 33.3% | −28.3 pt |
| 65–70% | 1 | 65.4% | 100.0% | +34.6 pt |
| 70–75% | 1 | 71.9% | 0.0% | −71.9 pt |
| 75%+ | 0 | — | — | — |
Ranked by overall score. Each row is a separately learned model.
| Market | Markets | Accuracy | Prob. Score | Calibration | |
|---|---|---|---|---|---|
| BTC · 5 Min | 6 | 33.3% | −14.3% | 0.0 | |
| BTC · 15 Min | 1 | 0.0% | −107.0% | 0.0 | |
| ETH · 5 Min | 6 | 33.3% | −9.2% | 0.0 | |
| ETH · 15 Min | 1 | 0.0% | −22.3% | 0.0 | |
| SOL · 5 Min | 6 | 33.3% | −5.1% | 0.0 | |
| SOL · 15 Min | 1 | 0.0% | −32.8% | 0.0 | |
| XRP · 5 Min | 5 | 20.0% | −9.5% | 0.0 | |
| XRP · 15 Min | 1 | 0.0% | −8.4% | 0.0 | |
| DOGE · 5 Min | 5 | 20.0% | −8.8% | 0.0 | |
| DOGE · 15 Min | 1 | 0.0% | −14.2% | 0.0 | |
| HYPE · 5 Min | 5 | 40.0% | −3.7% | 0.0 | |
| HYPE · 15 Min | 1 | 0.0% | −13.8% | 0.0 | |
| BNB · 5 Min | 5 | 0.0% | −35.3% | 0.0 | |
| BNB · 15 Min | 1 | 0.0% | −35.9% | 0.0 | |
| BTC · 1 Hour | Insufficient Data999/100 | ||||
| BTC · 4 Hours | Insufficient Data500/100 | ||||
| BTC · 1 Day | Insufficient Data365/100 | ||||
| ETH · 1 Hour | Insufficient Data999/100 | ||||
| ETH · 4 Hours | Insufficient Data500/100 | ||||
| ETH · 1 Day | Insufficient Data365/100 | ||||
| SOL · 1 Hour | Insufficient Data990/100 | ||||
| SOL · 4 Hours | Insufficient Data499/100 | ||||
| SOL · 1 Day | Insufficient Data364/100 | ||||
| XRP · 1 Hour | Insufficient Data994/100 | ||||
| XRP · 4 Hours | Insufficient Data499/100 | ||||
| XRP · 1 Day | Insufficient Data363/100 | ||||
| DOGE · 1 Hour | Insufficient Data980/100 | ||||
| DOGE · 4 Hours | Insufficient Data496/100 | ||||
| DOGE · 1 Day | Insufficient Data364/100 | ||||
| HYPE · 1 Hour | Insufficient Data996/100 | ||||
| HYPE · 4 Hours | Insufficient Data500/100 | ||||
| HYPE · 1 Day | Insufficient Data365/100 | ||||
| BNB · 1 Hour | Insufficient Data993/100 | ||||
| BNB · 4 Hours | Insufficient Data497/100 | ||||
| BNB · 1 Day | Insufficient Data364/100 | ||||
| GOLD · 5 Min | Insufficient Data996/100 | ||||
| GOLD · 15 Min | Insufficient Data997/100 | ||||
| GOLD · 1 Hour | Insufficient Data999/100 | ||||
| GOLD · 4 Hours | Insufficient Data500/100 | ||||
| GOLD · 1 Day | Insufficient Data333/100 | ||||
| SILVER · 5 Min | Insufficient Data916/100 | ||||
| SILVER · 15 Min | Insufficient Data960/100 | ||||
| SILVER · 1 Hour | Insufficient Data982/100 | ||||
| SILVER · 4 Hours | Insufficient Data496/100 | ||||
| SILVER · 1 Day | Insufficient Data177/100 | ||||
| OIL · 5 Min | Insufficient Data946/100 | ||||
| OIL · 15 Min | Insufficient Data973/100 | ||||
| OIL · 1 Hour | Insufficient Data990/100 | ||||
| OIL · 4 Hours | Insufficient Data498/100 | ||||
| OIL · 1 Day | Insufficient Data146/100 | ||||
Verified prediction history
Immutable recordTimes in UTC · Every prediction is stored with its model version before the window settles. Losses stay on the record.
How it works, at a high level
The RSI Divergence Agent watches for disagreement between price and underlying strength: new highs without new conviction, or new lows that sellers can no longer sustain. It specializes in spotting exhaustion before a reversal becomes obvious.
Data families
Formulas, weights, thresholds, indicator periods and feature engineering are proprietary and never published.
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