GodzillaBTCPaper Track Record
Live statistics show the current GodzillaBTC model cohort. The dated snapshot above records the earlier 58.8% result separately, without presenting it as current performance.
Latest 500 recorded signals maximum. Paper outcomes, not broker fills. Net R includes estimated costs and conservative ambiguous/cancelled outcomes; decisive win rate excludes these. Read accounting rules.
Expectancy, drawdown and sample size. Together.
Loading the ledger. No live market scan is triggered.
Cumulative settled net R
Equal 1R per paper trade; estimated costs. This is not money, account equity or an independently verified trading result. Max drawdown includes the zero starting peak. Latest 500 records maximum.
Download available ledger CSVCurrent-model results by market
Current model performance by strategy
Range fades and trend pullbacks use different target sizes and therefore different break-even win rates. Their forward results are reported separately instead of being blended into one marketing number.
Mean-reversion setup
Trend-continuation setup
How outcomes are counted
WIN means the fixed final target was reached before the fixed stop. LOSS means the stop was reached first. TIMEOUT means neither was reached within the signal horizon. If both target and stop fall inside the same OHLC candle and order cannot be proven, the result is AMBIGUOUS and is excluded from win rate. Opposite-direction replacement signals can mark an unresolved signal CANCELLED. This avoids quietly treating uncertain results as wins.
Win rate = Wins ÷ (Wins + Losses). It is a historical forward record, not a forecast or guarantee.
Current-model results by signal tier
Detailed recorded signal outcomes
Individual recorded outcomes remain visible for auditability. The model identifier is shown on each row; no combined all-model win/loss total is displayed.
Learn how to audit the numbers
Read the detailed guide to forward tracking, decisive win rate, R-multiple, timeouts, ambiguous candles and sample-size limits.
Read the signal-history guide →Why this is separate from backtesting
The model also uses historical cohorts to decide whether a setup qualifies. Those validation statistics are research evidence, while this page is the forward-published track record. Keeping the two separate makes it harder to cherry-pick historical periods after the fact.
Read validation methodology →