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TT-Autotune · data 2026-11-13

MVLLMVLL trading bot: TT-Autotune tuned results by timeframe and regime

Tuned vs default Lorentzian Classification results for MVLL across 1 timeframes and six market regimes, and how to automate MVLL from TradingView paper first.

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MVLL with TT-Autotune

TT-Autotune tunes the Lorentzian Classification strategy separately for every token, chart timeframe and market regime, then switches to that regime's champion settings live inside one TradingView strategy alert. This page summarizes what the optimizer found for MVLL: 1 trained timeframe (5m) and 6 regime cells, of which 6 beat the stock default settings.

On tuned ROI averaged across regimes, the strongest MVLL timeframe is 5m (+16.8% mean), and its best single regime is Bull+ at +30.6%. ROI here is the sum of per-trade ROI over each cell's walk-forward window, scored with fees and slippage, not a live result.

MVLL on the 5m chart

On 5m, 6 of 6 regimes beat the default settings, led by Bull+, which is a strong uptrend: ADX of 25 or more with a strong positive slope, where buyers are in control and pullbacks stay shallow.

Bull+
tuned +30.6% vs default -2.4% (beats default by 33.0 pts)
Bull-
tuned +12.1% vs default -18.7% (beats default by 30.8 pts)
Bear+
tuned +22.8% vs default -1.5% (beats default by 24.4 pts)
Bear-
tuned +13.7% vs default +2.0% (beats default by 11.7 pts)
Chop
tuned +10.3% vs default +2.8% (beats default by 7.5 pts)
Quiet
tuned +11.4% vs default -20.1% (beats default by 31.4 pts)

How to read these MVLL numbers

These are optimizer results on historical data, and every champion had to pass gates before publication: positive Sortino and ROI in its regime, beating the default on both, enough trades spread across walk-forward windows, and a plateau rather than a spike. Longer timeframes cover longer calendar windows, so compare timeframes with care. TensorTrader's forward testnet books have not yet shown an edge after fees, so treat any MVLL cell as a hypothesis to paper trade, not a forecast.

Trade MVLL from TradingView

  1. 1Connect a trade-only key on a live-ready venue that lists MVLL perpetuals, on testnet first.
  2. 2Open the TensorTrader extension's TT-Autotune tab, select that key and browse the MVLL cells.
  3. 3Enroll the MVLL timeframes you want; each becomes one strategy alert with its regime champions injected.
  4. 4Watch fills and closed-trade accounting on paper before any live opt-in.

Not financial advice. Figures are TensorTrader optimizer or backtest results with the method stated; past results do not predict future returns.

Guides · Start on paper