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TT-Autotune · data 2026-10-11

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

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

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YFI 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 YFI: 4 trained timeframes (15m, 1h, 4h, 1d) and 24 regime cells, of which 22 beat the stock default settings.

On tuned ROI averaged across regimes, the strongest YFI timeframe is 1d (+64.6% mean), and its best single regime is Bear- at +121.5%. 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.

YFI on the 15m chart

On 15m, 5 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 +7.1% vs default -2.9% (beats default by 10.1 pts)
Bull-
tuned +8.1% vs default -2.4% (beats default by 10.6 pts)
Bear+
tuned +11.3% vs default +1.4% (beats default by 9.9 pts)
Bear-
tuned +11.1% vs default -3.8% (beats default by 14.9 pts)
Chop
tuned +0.0% vs default +0.0% (trails default by 0.0 pts)
Quiet
tuned +11.0% vs default -4.2% (beats default by 15.1 pts)

YFI 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 +52.5% vs default -7.1% (beats default by 59.6 pts)
Bull-
tuned +31.6% vs default +1.4% (beats default by 30.2 pts)
Bear+
tuned +43.9% vs default +1.7% (beats default by 42.3 pts)
Bear-
tuned +29.9% vs default -6.0% (beats default by 35.8 pts)
Chop
tuned +20.7% vs default +0.8% (beats default by 19.9 pts)
Quiet
tuned +35.2% vs default -3.6% (beats default by 38.8 pts)

YFI on the 4h chart

On 4h, 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 +54.3% vs default -4.9% (beats default by 59.3 pts)
Bull-
tuned +57.5% vs default -18.1% (beats default by 75.6 pts)
Bear+
tuned +62.5% vs default +4.3% (beats default by 58.1 pts)
Bear-
tuned +63.9% vs default -19.5% (beats default by 83.4 pts)
Chop
tuned +40.6% vs default -14.6% (beats default by 55.2 pts)
Quiet
tuned +44.2% vs default +1.6% (beats default by 42.6 pts)

YFI on the 1d chart

On 1d, 5 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 +14.7% vs default -3.2% (beats default by 17.9 pts)
Bull-
tuned +65.5% vs default +0.3% (beats default by 65.2 pts)
Bear+
tuned +89.2% vs default -5.2% (beats default by 94.4 pts)
Bear-
tuned +121.5% vs default +30.0% (beats default by 91.4 pts)
Chop
tuned +96.6% vs default -9.3% (beats default by 105.9 pts)
Quiet
tuned +0.0% vs default +0.0% (trails default by 0.0 pts)

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

Trade YFI from TradingView

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