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TT-Autotune · data 2026-10-11

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

Tuned vs default Lorentzian Classification results for NEO across 4 timeframes and six market regimes, and how to automate NEO from TradingView paper first.

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NEO 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 NEO: 4 trained timeframes (15m, 1h, 4h, 1d) and 24 regime cells, of which 23 beat the stock default settings.

On tuned ROI averaged across regimes, the strongest NEO timeframe is 1d (+86.3% mean), and its best single regime is Chop at +185.1%. 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.

NEO 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 +13.8% vs default -1.0% (beats default by 14.8 pts)
Bull-
tuned +14.9% vs default -5.1% (beats default by 20.0 pts)
Bear+
tuned +11.4% vs default +0.9% (beats default by 10.5 pts)
Bear-
tuned +16.2% vs default +4.7% (beats default by 11.5 pts)
Chop
tuned +10.3% vs default +3.6% (beats default by 6.7 pts)
Quiet
tuned +15.6% vs default -14.4% (beats default by 30.0 pts)

NEO on the 1h chart

On 1h, 6 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 +25.6% vs default -1.9% (beats default by 27.5 pts)
Bull-
tuned +37.0% vs default -6.5% (beats default by 43.5 pts)
Bear+
tuned +15.9% vs default -6.5% (beats default by 22.4 pts)
Bear-
tuned +25.5% vs default -10.5% (beats default by 36.0 pts)
Chop
tuned +16.9% vs default -3.0% (beats default by 20.0 pts)
Quiet
tuned +36.7% vs default +1.4% (beats default by 35.3 pts)

NEO 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 +87.0% vs default -10.8% (beats default by 97.8 pts)
Bull-
tuned +57.7% vs default -6.5% (beats default by 64.2 pts)
Bear+
tuned +60.1% vs default -10.5% (beats default by 70.6 pts)
Bear-
tuned +54.1% vs default +2.4% (beats default by 51.6 pts)
Chop
tuned +70.6% vs default +12.2% (beats default by 58.4 pts)
Quiet
tuned +55.5% vs default +22.0% (beats default by 33.5 pts)

NEO 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 +123.7% vs default -6.5% (beats default by 130.2 pts)
Bull-
tuned +88.8% vs default -17.7% (beats default by 106.5 pts)
Bear+
tuned +67.9% vs default -1.3% (beats default by 69.2 pts)
Bear-
tuned +52.1% vs default -16.2% (beats default by 68.3 pts)
Chop
tuned +185.1% vs default +26.7% (beats default by 158.4 pts)
Quiet
tuned +0.0% vs default +0.0% (trails default by 0.0 pts)

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

Trade NEO from TradingView

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