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

XMR 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 XMR: 4 trained timeframes (15m, 1h, 4h, 1d) and 24 regime cells, of which 23 beat the stock default settings.

On tuned ROI averaged across regimes, the strongest XMR timeframe is 1d (+63.2% mean), and its best single regime is Chop at +94.0%. 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.

XMR on the 15m chart

On 15m, 6 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 +11.0% vs default -3.6% (beats default by 14.6 pts)

Bull-

tuned +10.8% vs default +0.4% (beats default by 10.5 pts)

Bear+

tuned +11.2% vs default -4.5% (beats default by 15.7 pts)

Bear-

tuned +16.0% vs default -4.8% (beats default by 20.8 pts)

Chop

tuned +18.4% vs default -2.5% (beats default by 21.0 pts)

Quiet

tuned +10.3% vs default -10.7% (beats default by 21.0 pts)

XMR on the 1h chart

On 1h, 6 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 +35.1% vs default -3.7% (beats default by 38.8 pts)

Bull-

tuned +28.4% vs default -4.9% (beats default by 33.3 pts)

Bear+

tuned +26.9% vs default +6.7% (beats default by 20.2 pts)

Bear-

tuned +32.5% vs default -3.7% (beats default by 36.2 pts)

Chop

tuned +45.1% vs default -11.9% (beats default by 57.1 pts)

Quiet

tuned +34.8% vs default -4.5% (beats default by 39.3 pts)

XMR on the 4h chart

On 4h, 6 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 +68.3% vs default -19.8% (beats default by 88.1 pts)

Bull-

tuned +62.1% vs default -24.2% (beats default by 86.3 pts)

Bear+

tuned +71.7% vs default -9.7% (beats default by 81.4 pts)

Bear-

tuned +36.9% vs default +0.7% (beats default by 36.2 pts)

Chop

tuned +75.4% vs default -26.5% (beats default by 102.0 pts)

Quiet

tuned +34.7% vs default -17.0% (beats default by 51.7 pts)

XMR 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 +75.9% vs default -9.2% (beats default by 85.1 pts)

Bull-

tuned +88.8% vs default +16.8% (beats default by 72.0 pts)

Bear+

tuned +89.7% vs default +0.0% (beats default by 89.7 pts)

Bear-

tuned +30.6% vs default +10.1% (beats default by 20.5 pts)

Chop

tuned +94.0% vs default +33.9% (beats default by 60.1 pts)

Quiet

tuned +0.0% vs default +0.0% (trails default by 0.0 pts)

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

Trade XMR from TradingView

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

• All TT-Autotune cells →
• How TT-Autotune works →
• Automate Hyperliquid perps →
• Market regimes explained →