Market data
Real exchange candles and venue data. Synthetic fallback is fail-closed and visibly labeled.
MMS HUB is a trading research stack built to test many strategies without confusing a good-looking backtest for a deployable edge. Every candidate moves through the same path: real data, cost-aware simulation, paper evidence, risk review, then a deliberate promotion—or a documented kill.
The product is not a pile of bots. It is the promotion pipeline around them. Strategies share evidence rules, cost assumptions, hard caps, and one source-of-truth ledger so weak results cannot hide behind a different dashboard.
Real exchange candles and venue data. Synthetic fallback is fail-closed and visibly labeled.
Regime, momentum, arbitrage, catalyst, mean-reversion, and forecast candidates.
Capital limits, position caps, daily-loss stops, drawdown breakers, and kill switches.
Timestamped trades, fees, slippage, fills, equity, and comparable forward evidence.
No live path until sample size, confidence, net expectancy, and manual approval all pass.
The August audit rejected the “combine everything” shortcut. A portfolio of correlated, sub-threshold systems cannot mathematically manufacture a 70% win rate. The rebuild focuses first on instrumentation and risk truth, then on new strategy research.
Regime-aware crypto system and the strongest existing real sample. Still far below the target profile.
Momentum scanner. Fabricated fallback history remains void; the current-candle, exit-update, and stale-feed defects are repaired; the post-fix forward sample is real now — 34 closed at 55.9% WR.
Cross-venue and super-bot variants. Observed spreads did not survive realistic fees and execution costs.
Schwab rumor, news, and leveraged-ETF research. Low frequency, weak win rate, and stale execution plumbing.
Append-only public forecast ledger with model × horizon scoring, baseline comparisons, and shadow promotion gates.
Maker-only, spot, long/flat execution design. It stays unbuilt until its signal contract proves a real edge.
These figures load from the same public files the BTC Brain uses. A promising hit rate is not promoted on its headline alone: the lower confidence bound, sample size, baseline, and fee-adjusted expectancy all have to agree.
The candidate remains behind the promotion gate while the live ledger accumulates evidence.
This is the line between research and capital. A red gate stops the whole chain; no strategy gets to substitute a backtest, a different period, or a friendlier dashboard.
No silent synthetic candles or unlabeled fallback.
Fees, spread, slippage, and real fill quality.
Enough independent trades and regimes for confidence.
Per-trade stop, daily loss, drawdown, and kill switch.
Promotion remains a deliberate owner decision.