TT-Autotune · data 2026-10-11
APT trading bot: TT-Autotune tuned results by timeframe and regime
Tuned vs default Lorentzian Classification results for APT across 2 timeframes and six market regimes, and how to automate APT from TradingView paper first.
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APT 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 APT: 2 trained timeframes (5m, 1d) and 12 regime cells, of which 9 beat the stock default settings.
On tuned ROI averaged across regimes, the strongest APT timeframe is 1d (+22.3% mean), and its best single regime is Chop at +70.6%. 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.
APT on the 5m chart
On 5m, 5 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 +7.8% vs default -2.0% (beats default by 9.7 pts)
- Bull-
- tuned +4.9% vs default -3.1% (beats default by 8.1 pts)
- Bear+
- tuned +8.1% vs default +1.2% (beats default by 6.9 pts)
- Bear-
- tuned +4.9% vs default -5.6% (beats default by 10.5 pts)
- Chop
- tuned +0.0% vs default +0.0% (trails default by 0.0 pts)
- Quiet
- tuned +11.7% vs default +5.1% (beats default by 6.6 pts)
APT on the 1d chart
On 1d, 4 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 +20.2% vs default +0.0% (beats default by 20.2 pts)
- Bull-
- tuned +24.3% vs default +2.4% (beats default by 21.9 pts)
- Bear+
- tuned -14.2% vs default -14.2% (trails default by 0.0 pts)
- Bear-
- tuned +33.0% vs default +0.8% (beats default by 32.1 pts)
- Chop
- tuned +70.6% vs default -13.2% (beats default by 83.8 pts)
- Quiet
- tuned +0.0% vs default +0.0% (trails default by 0.0 pts)
How to read these APT 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 APT cell as a hypothesis to paper trade, not a forecast.
Trade APT from TradingView
- 1Connect a trade-only key on a live-ready venue that lists APT perpetuals, on testnet first.
- 2Open the TensorTrader extension's TT-Autotune tab, select that key and browse the APT cells.
- 3Enroll the APT timeframes you want; each becomes one strategy alert with its regime champions injected.
- 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.