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TT-Autotune · data 2026-09-26

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

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

COMP 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 COMP: 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 COMP timeframe is 1d (+102.9% mean), and its best single regime is Chop at +170.0%. 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.

COMP on the 15m chart

On 15m, 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 +14.9% vs default -3.1% (beats default by 18.0 pts)
Bull-
tuned +9.0% vs default -9.8% (beats default by 18.8 pts)
Bear+
tuned +5.3% vs default -3.0% (beats default by 8.3 pts)
Bear-
tuned +19.2% vs default -3.5% (beats default by 22.7 pts)
Chop
tuned -1.6% vs default -1.6% (trails default by 0.0 pts)
Quiet
tuned +10.0% vs default -9.3% (beats default by 19.3 pts)

COMP on the 1h chart

On 1h, 6 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 +20.5% vs default -1.0% (beats default by 21.5 pts)
Bull-
tuned +26.3% vs default -18.9% (beats default by 45.2 pts)
Bear+
tuned +35.5% vs default +5.0% (beats default by 30.5 pts)
Bear-
tuned +31.1% vs default -6.5% (beats default by 37.5 pts)
Chop
tuned +33.2% vs default +9.7% (beats default by 23.5 pts)
Quiet
tuned +34.8% vs default -5.7% (beats default by 40.5 pts)

COMP 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 +121.5% vs default -22.7% (beats default by 144.2 pts)
Bull-
tuned +79.6% vs default -6.9% (beats default by 86.4 pts)
Bear+
tuned +91.6% vs default +6.3% (beats default by 85.3 pts)
Bear-
tuned +81.0% vs default +7.1% (beats default by 73.9 pts)
Chop
tuned +54.5% vs default -13.4% (beats default by 67.9 pts)
Quiet
tuned +44.5% vs default +12.6% (beats default by 31.9 pts)

COMP 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 +107.7% vs default -11.2% (beats default by 118.9 pts)
Bull-
tuned +132.0% vs default -5.0% (beats default by 136.9 pts)
Bear+
tuned +99.6% vs default -7.2% (beats default by 106.9 pts)
Bear-
tuned +107.8% vs default +3.5% (beats default by 104.3 pts)
Chop
tuned +170.0% vs default +13.8% (beats default by 156.2 pts)
Quiet
tuned +0.0% vs default +0.0% (trails default by 0.0 pts)

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

Trade COMP from TradingView

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