TT-Autotune · data 2026-11-13
BZ trading bot: TT-Autotune tuned results by timeframe and regime
Tuned vs default Lorentzian Classification results for BZ across 1 timeframes and six market regimes, and how to automate BZ from TradingView paper first.
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BZ 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 BZ: 1 trained timeframe (15m) and 6 regime cells, of which 5 beat the stock default settings.
On tuned ROI averaged across regimes, the strongest BZ timeframe is 15m (+7.0% mean), and its best single regime is Quiet at +11.7%. 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.
BZ on the 15m chart
On 15m, 5 of 6 regimes beat the default settings, led by Quiet, which is no trend and low volatility: tight ranges where fees can eat most edges.
- Bull+
- tuned +11.4% vs default -3.8% (beats default by 15.2 pts)
- Bull-
- tuned +6.9% vs default -8.1% (beats default by 15.0 pts)
- Bear+
- tuned +9.1% vs default -9.4% (beats default by 18.5 pts)
- Bear-
- tuned +3.1% vs default -5.5% (beats default by 8.6 pts)
- Chop
- tuned +0.0% vs default +0.0% (trails default by 0.0 pts)
- Quiet
- tuned +11.7% vs default -7.9% (beats default by 19.6 pts)
How to read these BZ 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 BZ cell as a hypothesis to paper trade, not a forecast.
Trade BZ from TradingView
- 1Connect a trade-only key on a live-ready venue that lists BZ perpetuals, on testnet first.
- 2Open the TensorTrader extension's TT-Autotune tab, select that key and browse the BZ cells.
- 3Enroll the BZ timeframes you want; each becomes one strategy alert with its regime champions injected.
- 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.