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TT-Autotune · data 2026-11-10

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

Tuned vs default Lorentzian Classification results for HBAR across 5 timeframes and six market regimes, and how to automate HBAR from TradingView paper first.

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HBAR 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 HBAR: 5 trained timeframes (15m, 30m, 1h, 4h, 1d) and 30 regime cells, of which 28 beat the stock default settings.

On tuned ROI averaged across regimes, the strongest HBAR timeframe is 1d (+69.5% mean), and its best single regime is Chop at +105.0%. 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.

HBAR on the 15m chart

On 15m, 6 of 6 regimes beat the default settings, led by Chop, which is no trend but high volatility: big swings in both directions where breakouts often fail.

Bull+
tuned +16.8% vs default +0.0% (beats default by 16.8 pts)
Bull-
tuned +21.6% vs default -4.5% (beats default by 26.0 pts)
Bear+
tuned +11.4% vs default +6.1% (beats default by 5.2 pts)
Bear-
tuned +25.1% vs default +3.1% (beats default by 22.1 pts)
Chop
tuned +30.3% vs default +0.6% (beats default by 29.8 pts)
Quiet
tuned +11.6% vs default -4.6% (beats default by 16.2 pts)

HBAR on the 30m chart

On 30m, 5 of 6 regimes beat the default settings, led by Bull-, which is a weak uptrend: ADX of 18 or more with a gentler positive slope, grinding higher with frequent pullbacks.

Bull+
tuned +24.7% vs default -0.4% (beats default by 25.1 pts)
Bull-
tuned +36.0% vs default -0.0% (beats default by 36.1 pts)
Bear+
tuned +10.3% vs default -0.7% (beats default by 11.0 pts)
Bear-
tuned +16.4% vs default -1.3% (beats default by 17.7 pts)
Chop
tuned +0.0% vs default +0.0% (trails default by 0.0 pts)
Quiet
tuned +17.6% vs default -4.9% (beats default by 22.5 pts)

HBAR 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 +56.2% vs default +6.0% (beats default by 50.2 pts)
Bull-
tuned +23.9% vs default -4.4% (beats default by 28.3 pts)
Bear+
tuned +30.7% vs default +6.5% (beats default by 24.3 pts)
Bear-
tuned +26.7% vs default -16.0% (beats default by 42.8 pts)
Chop
tuned +43.5% vs default -4.6% (beats default by 48.1 pts)
Quiet
tuned +35.0% vs default +2.8% (beats default by 32.2 pts)

HBAR on the 4h chart

On 4h, 6 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 +50.3% vs default +12.8% (beats default by 37.6 pts)
Bull-
tuned +60.2% vs default +1.6% (beats default by 58.5 pts)
Bear+
tuned +94.6% vs default +5.5% (beats default by 89.2 pts)
Bear-
tuned +63.3% vs default +9.1% (beats default by 54.2 pts)
Chop
tuned +72.5% vs default -8.3% (beats default by 80.8 pts)
Quiet
tuned +44.3% vs default -1.3% (beats default by 45.5 pts)

HBAR on the 1d chart

On 1d, 5 of 6 regimes beat the default settings, led by Chop, which is no trend but high volatility: big swings in both directions where breakouts often fail.

Bull+
tuned +100.8% vs default +17.9% (beats default by 82.8 pts)
Bull-
tuned +99.6% vs default +24.1% (beats default by 75.5 pts)
Bear+
tuned +23.8% vs default +0.0% (beats default by 23.8 pts)
Bear-
tuned +88.1% vs default +0.0% (beats default by 88.1 pts)
Chop
tuned +105.0% vs default +28.9% (beats default by 76.2 pts)
Quiet
tuned +0.0% vs default +0.0% (trails default by 0.0 pts)

How to read these HBAR 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 HBAR cell as a hypothesis to paper trade, not a forecast.

Trade HBAR from TradingView

  1. 1Connect a trade-only key on a live-ready venue that lists HBAR perpetuals, on testnet first.
  2. 2Open the TensorTrader extension's TT-Autotune tab, select that key and browse the HBAR cells.
  3. 3Enroll the HBAR 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