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TT-Autotune · data 2026-11-13

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

Tuned vs default Lorentzian Classification results for CL across 2 timeframes and six market regimes, and how to automate CL from TradingView paper first.

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CL 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 CL: 2 trained timeframes (5m, 15m) and 12 regime cells, of which 9 beat the stock default settings.

On tuned ROI averaged across regimes, the strongest CL timeframe is 15m (+4.7% mean), and its best single regime is Bear+ at +9.8%. 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.

CL on the 5m chart

On 5m, 4 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 +3.9% vs default +0.8% (beats default by 3.1 pts)
Bull-
tuned +2.9% vs default -7.5% (beats default by 10.4 pts)
Bear+
tuned +6.1% vs default -0.6% (beats default by 6.7 pts)
Bear-
tuned +5.3% vs default -4.8% (beats default by 10.1 pts)
Chop
tuned +0.0% vs default +0.0% (trails default by 0.0 pts)
Quiet
tuned -23.3% vs default -23.3% (trails default by 0.0 pts)

CL 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 +5.5% vs default -4.2% (beats default by 9.7 pts)
Bull-
tuned +5.3% vs default -10.1% (beats default by 15.4 pts)
Bear+
tuned +9.8% vs default -4.9% (beats default by 14.6 pts)
Bear-
tuned +5.5% vs default -3.7% (beats default by 9.2 pts)
Chop
tuned +0.0% vs default +0.0% (trails default by 0.0 pts)
Quiet
tuned +2.2% vs default -8.9% (beats default by 11.0 pts)

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

Trade CL from TradingView

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