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TT-Autotune · data 2026-09-26

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

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

ENA 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 ENA: 5 trained timeframes (15m, 30m, 1h, 4h, 1d) and 30 regime cells, of which 25 beat the stock default settings.

On tuned ROI averaged across regimes, the strongest ENA timeframe is 4h (+78.0% mean), and its best single regime is Chop at +118.8%. 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.

ENA on the 15m chart

On 15m, 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 +58.5% vs default -11.3% (beats default by 69.8 pts)
Bull-
tuned +31.1% vs default +2.0% (beats default by 29.0 pts)
Bear+
tuned +27.0% vs default +10.0% (beats default by 17.0 pts)
Bear-
tuned +21.2% vs default -10.4% (beats default by 31.5 pts)
Chop
tuned +50.1% vs default -16.3% (beats default by 66.4 pts)
Quiet
tuned +16.3% vs default -6.8% (beats default by 23.1 pts)

ENA on the 30m chart

On 30m, 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 +65.8% vs default +3.2% (beats default by 62.6 pts)
Bull-
tuned +52.4% vs default -10.2% (beats default by 62.6 pts)
Bear+
tuned +30.4% vs default +0.4% (beats default by 30.0 pts)
Bear-
tuned +21.7% vs default +7.1% (beats default by 14.6 pts)
Chop
tuned +57.7% vs default -7.2% (beats default by 64.9 pts)
Quiet
tuned +37.3% vs default +5.2% (beats default by 32.2 pts)

ENA 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 +88.3% vs default -6.8% (beats default by 95.1 pts)
Bull-
tuned +44.8% vs default -4.2% (beats default by 49.0 pts)
Bear+
tuned +69.9% vs default +1.2% (beats default by 68.7 pts)
Bear-
tuned +34.6% vs default +5.3% (beats default by 29.2 pts)
Chop
tuned +35.3% vs default +15.6% (beats default by 19.7 pts)
Quiet
tuned +25.3% vs default +0.7% (beats default by 24.5 pts)

ENA on the 4h chart

On 4h, 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 +118.2% vs default +0.9% (beats default by 117.3 pts)
Bull-
tuned +96.0% vs default -8.3% (beats default by 104.4 pts)
Bear+
tuned +54.4% vs default -16.7% (beats default by 71.1 pts)
Bear-
tuned +80.4% vs default -13.6% (beats default by 94.0 pts)
Chop
tuned +118.8% vs default +65.0% (beats default by 53.7 pts)
Quiet
tuned +0.0% vs default +0.0% (trails default by 0.0 pts)

ENA on the 1d chart

On 1d, 2 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 +61.6% vs default -8.3% (beats default by 69.9 pts)
Bull-
tuned +70.4% vs default +55.5% (beats default by 14.9 pts)
Bear+
tuned -5.1% vs default -5.1% (trails default by 0.0 pts)
Bear-
tuned -0.8% vs default -0.8% (trails default by 0.0 pts)
Chop
tuned -10.5% vs default -10.5% (trails default by 0.0 pts)
Quiet
tuned +0.0% vs default +0.0% (trails default by 0.0 pts)

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

Trade ENA from TradingView

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