TT-Autotune · data 2026-10-11
KAVA trading bot: TT-Autotune tuned results by timeframe and regime
Tuned vs default Lorentzian Classification results for KAVA across 4 timeframes and six market regimes, and how to automate KAVA from TradingView paper first.
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KAVA 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 KAVA: 4 trained timeframes (15m, 1h, 4h, 1d) and 24 regime cells, of which 22 beat the stock default settings.
On tuned ROI averaged across regimes, the strongest KAVA timeframe is 1d (+75.0% mean), and its best single regime is Bear+ at +121.1%. 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.
KAVA on the 15m chart
On 15m, 5 of 6 regimes beat the default settings, led by Bear+, which is a strong downtrend: ADX of 25 or more with a strong negative slope, where sellers are in control and bounces fail.
- Bull+
- tuned +13.5% vs default -2.7% (beats default by 16.1 pts)
- Bull-
- tuned +10.5% vs default -4.4% (beats default by 14.8 pts)
- Bear+
- tuned +25.6% vs default -2.2% (beats default by 27.9 pts)
- Bear-
- tuned +3.4% vs default -1.5% (beats default by 4.9 pts)
- Chop
- tuned -0.7% vs default -0.7% (trails default by 0.0 pts)
- Quiet
- tuned +6.4% vs default -9.6% (beats default by 16.0 pts)
KAVA on the 1h chart
On 1h, 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 +34.7% vs default -1.8% (beats default by 36.5 pts)
- Bull-
- tuned +17.8% vs default -10.5% (beats default by 28.3 pts)
- Bear+
- tuned +10.9% vs default +0.5% (beats default by 10.4 pts)
- Bear-
- tuned +18.1% vs default +2.3% (beats default by 15.8 pts)
- Chop
- tuned +9.1% vs default -2.2% (beats default by 11.2 pts)
- Quiet
- tuned +4.1% vs default -16.0% (beats default by 20.1 pts)
KAVA on the 4h chart
On 4h, 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 +108.2% vs default +2.2% (beats default by 106.0 pts)
- Bull-
- tuned +57.8% vs default +1.8% (beats default by 56.0 pts)
- Bear+
- tuned +61.9% vs default -3.7% (beats default by 65.6 pts)
- Bear-
- tuned +67.0% vs default +0.1% (beats default by 66.8 pts)
- Chop
- tuned +62.8% vs default -53.4% (beats default by 116.1 pts)
- Quiet
- tuned +28.3% vs default +8.0% (beats default by 20.3 pts)
KAVA on the 1d chart
On 1d, 5 of 6 regimes beat the default settings, led by Bear+, which is a strong downtrend: ADX of 25 or more with a strong negative slope, where sellers are in control and bounces fail.
- Bull+
- tuned +99.6% vs default +0.0% (beats default by 99.6 pts)
- Bull-
- tuned +37.7% vs default +8.4% (beats default by 29.3 pts)
- Bear+
- tuned +121.1% vs default -10.6% (beats default by 131.7 pts)
- Bear-
- tuned +76.7% vs default +1.4% (beats default by 75.3 pts)
- Chop
- tuned +114.7% vs default -28.9% (beats default by 143.6 pts)
- Quiet
- tuned +0.0% vs default +0.0% (trails default by 0.0 pts)
How to read these KAVA 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 KAVA cell as a hypothesis to paper trade, not a forecast.
Trade KAVA from TradingView
- 1Connect a trade-only key on a live-ready venue that lists KAVA perpetuals, on testnet first.
- 2Open the TensorTrader extension's TT-Autotune tab, select that key and browse the KAVA cells.
- 3Enroll the KAVA 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.