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TT-Autotune · data 2026-10-11

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

Tuned vs default Lorentzian Classification results for ONT across 3 timeframes and six market regimes, and how to automate ONT from TradingView paper first.

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ONT 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 ONT: 3 trained timeframes (15m, 1h, 1d) and 18 regime cells, of which 16 beat the stock default settings.

On tuned ROI averaged across regimes, the strongest ONT timeframe is 1d (+60.4% mean), and its best single regime is Bull+ at +150.8%. 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.

ONT on the 15m chart

On 15m, 6 of 6 regimes beat the default settings, led by Bear-, which is a weak downtrend: a slow bleed with sharp bounces and frequent short squeezes.

Bull+
tuned +12.3% vs default -6.2% (beats default by 18.5 pts)
Bull-
tuned +12.1% vs default -1.5% (beats default by 13.6 pts)
Bear+
tuned +15.4% vs default +2.3% (beats default by 13.0 pts)
Bear-
tuned +18.6% vs default -0.2% (beats default by 18.8 pts)
Chop
tuned +5.8% vs default +0.8% (beats default by 4.9 pts)
Quiet
tuned +16.4% vs default -6.2% (beats default by 22.6 pts)

ONT on the 1h chart

On 1h, 6 of 6 regimes beat the default settings, led by Bear-, which is a weak downtrend: a slow bleed with sharp bounces and frequent short squeezes.

Bull+
tuned +29.6% vs default -5.5% (beats default by 35.1 pts)
Bull-
tuned +29.2% vs default +0.4% (beats default by 28.9 pts)
Bear+
tuned +24.6% vs default -9.9% (beats default by 34.5 pts)
Bear-
tuned +32.4% vs default -2.5% (beats default by 34.9 pts)
Chop
tuned +23.8% vs default -6.5% (beats default by 30.4 pts)
Quiet
tuned +16.4% vs default +6.2% (beats default by 10.2 pts)

ONT on the 1d chart

On 1d, 4 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 +150.8% vs default +0.0% (beats default by 150.8 pts)
Bull-
tuned +36.1% vs default +0.0% (beats default by 36.1 pts)
Bear+
tuned -35.7% vs default -35.7% (trails default by 0.0 pts)
Bear-
tuned +100.5% vs default -1.1% (beats default by 101.7 pts)
Chop
tuned +110.8% vs default +6.1% (beats default by 104.8 pts)
Quiet
tuned +0.0% vs default +0.0% (trails default by 0.0 pts)

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

Trade ONT from TradingView

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