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TT-Autotune · data 2026-11-11

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

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

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IOTA 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 IOTA: 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 IOTA timeframe is 1d (+76.2% mean), and its best single regime is Chop at +159.5%. 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.

IOTA on the 15m chart

On 15m, 6 of 6 regimes beat the default settings, led by Quiet, which is no trend and low volatility: tight ranges where fees can eat most edges.

Bull+
tuned +18.1% vs default -2.5% (beats default by 20.6 pts)
Bull-
tuned +17.3% vs default -1.2% (beats default by 18.5 pts)
Bear+
tuned +14.9% vs default +9.8% (beats default by 5.1 pts)
Bear-
tuned +15.2% vs default -0.3% (beats default by 15.6 pts)
Chop
tuned +16.6% vs default +1.9% (beats default by 14.7 pts)
Quiet
tuned +21.1% vs default -2.7% (beats default by 23.7 pts)

IOTA 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 +55.3% vs default -4.3% (beats default by 59.5 pts)
Bull-
tuned +49.1% vs default -5.4% (beats default by 54.5 pts)
Bear+
tuned +25.7% vs default +0.2% (beats default by 25.5 pts)
Bear-
tuned +22.6% vs default -5.9% (beats default by 28.5 pts)
Chop
tuned +50.7% vs default -12.9% (beats default by 63.6 pts)
Quiet
tuned +38.5% vs default +15.4% (beats default by 23.0 pts)

IOTA 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 +98.8% vs default +1.0% (beats default by 97.8 pts)
Bull-
tuned +70.2% vs default -22.5% (beats default by 92.7 pts)
Bear+
tuned +83.3% vs default +6.0% (beats default by 77.3 pts)
Bear-
tuned +71.9% vs default +6.5% (beats default by 65.4 pts)
Chop
tuned +94.6% vs default +35.2% (beats default by 59.5 pts)
Quiet
tuned +27.3% vs default +2.8% (beats default by 24.5 pts)

IOTA 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 +24.9% vs default -0.0% (beats default by 25.0 pts)
Bull-
tuned +68.8% vs default +34.7% (beats default by 34.1 pts)
Bear+
tuned +88.3% vs default -46.5% (beats default by 134.8 pts)
Bear-
tuned +115.5% vs default +8.2% (beats default by 107.3 pts)
Chop
tuned +159.5% vs default -9.0% (beats default by 168.5 pts)
Quiet
tuned +0.0% vs default +0.0% (trails default by 0.0 pts)

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

Trade IOTA from TradingView

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

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