COMPARATIVE / FORWARD PAPER

Three systems.
Three separate records.

These systems have unequal sample sizes and different logic. The dashboard describes what has happened; it does not rank which strategy is best.

SYSTEMCLOSEDOPENW / LWIN RATEREALIZED PNL
CONTROLV41717 / 1041.2%+$2.98
ADAPTIVEV4.4010 / 0—+$0.00
ML / FREQAIV6 FreqAI525 / 0100.0%+$10.42
CUMULATIVE RECORD

Closed-trade PAPER PnL

Each chart starts at $0 · scales differ
V417 closed
START $017 CLOSED TRADES+$2.98
V4.40 closed
Waiting for closed trades
V6 FreqAI5 closed
START $05 CLOSED TRADES+$10.42
RISK / QUALITY METRICS
V4Expectancy +$0.18Profit factor 1.11Max closed-PnL DD $18.21
V4.4Expectancy —Profit factor —Max closed-PnL DD $0.00
V6 FreqAIExpectancy +$2.08Profit factor ∞*Max closed-PnL DD $0.00

* No losing closed trades yet; the sample is too small to treat this as a stable profit factor.

VERSION HISTORY

Why the systems coexist.

V4Control branch

Established adaptive engine retained as the reference record.

V4.4Adaptive revision

Newer branch deployed separately so changes cannot rewrite V4 history.

V5.1ML shadow research

Earlier learning architecture preserved as a prior experiment rather than merged into the successor.

V6FreqAI forward experiment

Current ML branch retraining on incoming data and executing in PAPER mode.

Open V6 record →
INTERPRETATION

A higher number is not automatically better evidence.

V4 has substantially more closed trades than V6, while V4.4 has no closed observations yet. Win rate also ignores payoff size and drawdown. We therefore preserve the raw forward records rather than declaring a winner.

PAPER ≠ LIVESimulated execution does not reproduce every liquidity, latency and slippage effect of real capital.
Metrics updated: 2026-09-24T23:18:29.227Z