TT-Autotune · data 2026-09-26
PAXG trading bot: TT-Autotune tuned results by timeframe and regime
Tuned vs default Lorentzian Classification results for PAXG across 3 timeframes and six market regimes, and how to automate PAXG from TradingView paper first.
PAXG 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 PAXG: 3 trained timeframes (15m, 1h, 4h) and 18 regime cells, of which 15 beat the stock default settings.
On tuned ROI averaged across regimes, the strongest PAXG timeframe is 4h (+9.8% mean), and its best single regime is Quiet at +14.4%. 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.
PAXG 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 +1.0% vs default -0.8% (beats default by 1.8 pts)
- Bull-
- tuned +0.9% vs default -1.8% (beats default by 2.7 pts)
- Bear+
- tuned +1.3% vs default +0.0% (beats default by 1.3 pts)
- Bear-
- tuned +1.8% vs default -0.4% (beats default by 2.2 pts)
- Chop
- tuned +0.0% vs default +0.0% (trails default by 0.0 pts)
- Quiet
- tuned +0.3% vs default -8.8% (beats default by 9.2 pts)
PAXG on the 1h chart
On 1h, 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 +3.1% vs default +0.0% (beats default by 3.1 pts)
- Bull-
- tuned +6.1% vs default -2.5% (beats default by 8.6 pts)
- Bear+
- tuned +2.8% vs default +0.0% (beats default by 2.8 pts)
- Bear-
- tuned +6.6% vs default +1.0% (beats default by 5.6 pts)
- Chop
- tuned +0.0% vs default +0.0% (trails default by 0.0 pts)
- Quiet
- tuned +2.9% vs default -7.1% (beats default by 10.0 pts)
PAXG on the 4h chart
On 4h, 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 +11.7% vs default +0.0% (beats default by 11.7 pts)
- Bull-
- tuned +12.3% vs default -0.4% (beats default by 12.7 pts)
- Bear+
- tuned +12.1% vs default +0.0% (beats default by 12.1 pts)
- Bear-
- tuned +8.2% vs default -1.3% (beats default by 9.4 pts)
- Chop
- tuned +0.0% vs default +0.0% (trails default by 0.0 pts)
- Quiet
- tuned +14.4% vs default -7.7% (beats default by 22.1 pts)
How to read these PAXG 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 PAXG cell as a hypothesis to paper trade, not a forecast.
Trade PAXG from TradingView
- 1Connect a trade-only key on a live-ready venue that lists PAXG perpetuals, on testnet first.
- 2Open the TensorTrader extension's TT-Autotune tab, select that key and browse the PAXG cells.
- 3Enroll the PAXG 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.