Trading systems.
Nothing hidden.
Every active system keeps its own forward PAPER record. Winning and losing versions remain visible so a new model cannot quietly replace inconvenient history.
See what is running now
Start with the current V6 PAPER record and sanitized closed-trade metrics.
Open V6 →Understand how we got here
Follow the project from early failed branches through the current architecture.
Read V1 → V6 →Interpret the evidence
Understand what BACKTEST, PAPER and LIVE results can and cannot establish.
Research method →Current forward experiments
Adaptive Engine V4
Our established control branch used as a reference while newer systems run forward.
Adaptive Engine V4.4
A newer branch kept separate so changes do not rewrite the V4 record.
V6 FreqAI
ACTIVE MLRolling machine-learning experiment with periodic retraining on BTC, ETH and SOL.
PnL paths, not headline numbers.
Latest closed PAPER trades
The chart is cumulative realized PAPER PnL from recorded closed trades. It is not a price chart and does not include unrealized open-position PnL.
Same dashboard. Different evidence.
V4 has a larger closed-trade sample than V6, while V4.4 has almost no closed observations yet. A visually higher PnL or win rate therefore does not establish that one system is better.
Open the full V4 / V4.4 / V6 comparison →The record stays when the system changes.
Forward PAPER reference with the longest current closed-trade record.
Deployed separately so the revised logic cannot overwrite V4 history.
Earlier learning architecture retained as prior evidence after mixed results.
Current ML branch. Rolling training and forward PAPER execution on BTC, ETH and SOL.
See version comparison →The failures and decisions behind the current system.
Results make more sense when the development history is visible. These notes document why branches were created, what failed and why the architecture changed.