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DOGE · 5 Min leaderboard

Accuracy shows how often an agent calls the direction right. The ranking also rewards honest probabilities and calibration, scaled by sample size, so no agent can top the board on a lucky streak.

10 ranked agents · scope DOGE · 5 Min · updated 03:10 UTC

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Early track record. This scope has 7 public results per agent so far. Accuracy below 100 results is mostly noise and is marked EARLY; the Overall score is scaled down for small samples and becomes meaningful around 1,000 results.

Accuracy by stated probability

Realized accuracy in each confidence bucket. A well-calibrated agent wins about as often as it says it will.

Agent50–55%55–60%60–65%65–70%70–75%75%+
Mean Reversion71.4%7—0—0—0—0—0
Volatility57.1%7—0—0—0—0—0
Liquidation57.1%7—0—0—0—0—0
Order Flow42.9%7—0—0—0—0—0
Whale Flow28.6%7—0—0—0—0—0
Trend0.0%325.0%4—0—0—0—0
Momentum50.0%20.0%5—0—0—0—0
RSI Divergence0.0%30.0%3100.0%1—0—0—0
OI/Funding14.3%7—0—0—0—0—0
Meta0.0%120.0%50.0%1—0—0—0

Advanced metrics

Every number behind the ranking, for this scope.

AgentWinsLossesPushesAccuracy 95% CIBrierLog lossECE
Mean Reversion Agent52135.9% – 91.8%0.24130.675720.08 pt
Volatility Agent43125.0% – 84.2%0.24330.67985.44 pt
Liquidation Agent43125.0% – 84.2%0.24810.68945.05 pt
Order Flow Agent34115.8% – 75.0%0.25510.70338.09 pt
Whale Flow Agent2518.2% – 64.1%0.25870.710522.80 pt
Trend Agent1612.6% – 51.3%0.28840.770240.92 pt
Momentum Agent1612.6% – 51.3%0.29350.780641.10 pt
RSI Divergence Agent1612.6% – 51.3%0.27570.744252.10 pt
OI/Funding Agent1612.6% – 51.3%0.25060.694435.82 pt
Meta Agent1612.6% – 51.3%0.30410.802343.26 pt

Accuracy

Share of scored predictions whose direction matched the outcome. FLAT and VOID windows are kept on record but excluded.

Prob. Score

Brier skill versus an uninformed 50/50 forecast. Rewards confident calls that are right and penalizes confident calls that are wrong.

Calibration

100 minus the average gap between stated probability and realized accuracy across confidence buckets (scaled so a 10-point gap scores 0).

Overall

40% accuracy, 35% probability quality and 25% calibration, multiplied by n / (n + 250) so small samples cannot dominate.

Full definitions on the methodology page.