TT-Autotune · data 2026-09-26
XMR trading bot: TT-Autotune tuned results by timeframe and regime
Tuned vs default Lorentzian Classification results for XMR across 4 timeframes and six market regimes, and how to automate XMR from TradingView paper first.
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 (+65.7% mean), and its best single regime is Bear+ at +102.9%. 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 Bull-, which is a weak uptrend: ADX of 18 or more with a gentler positive slope, grinding higher with frequent pullbacks.
- Bull+
- tuned +19.8% vs default -0.0% (beats default by 19.8 pts)
- Bull-
- tuned +20.1% vs default +0.2% (beats default by 19.9 pts)
- Bear+
- tuned +17.7% vs default -3.5% (beats default by 21.1 pts)
- Bear-
- tuned +12.7% vs default -9.0% (beats default by 21.7 pts)
- Chop
- tuned +19.3% vs default -4.0% (beats default by 23.3 pts)
- Quiet
- tuned +10.2% vs default -9.6% (beats default by 19.9 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 +39.3% vs default +1.2% (beats default by 38.1 pts)
- Bull-
- tuned +47.0% vs default -7.4% (beats default by 54.4 pts)
- Bear+
- tuned +23.5% vs default +6.7% (beats default by 16.7 pts)
- Bear-
- tuned +41.3% vs default -3.5% (beats default by 44.8 pts)
- Chop
- tuned +65.7% vs default -14.2% (beats default by 80.0 pts)
- Quiet
- tuned +40.1% vs default -2.7% (beats default by 42.8 pts)
XMR on the 4h chart
On 4h, 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 +65.9% vs default -9.0% (beats default by 74.8 pts)
- Bull-
- tuned +41.4% vs default -24.2% (beats default by 65.6 pts)
- Bear+
- tuned +106.5% vs default -5.0% (beats default by 111.5 pts)
- Bear-
- tuned +29.6% vs default +0.7% (beats default by 28.9 pts)
- Chop
- tuned +57.9% vs default -23.3% (beats default by 81.3 pts)
- Quiet
- tuned +40.0% vs default -11.8% (beats default by 51.8 pts)
XMR on the 1d chart
On 1d, 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 +81.0% vs default -23.8% (beats default by 104.8 pts)
- Bull-
- tuned +89.8% vs default +16.8% (beats default by 73.0 pts)
- Bear+
- tuned +102.9% vs default +0.0% (beats default by 102.9 pts)
- Bear-
- tuned +28.9% vs default +10.1% (beats default by 18.8 pts)
- Chop
- tuned +91.6% vs default +33.9% (beats default by 57.6 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
- 1Connect a trade-only key on a live-ready venue that lists XMR perpetuals, on testnet first.
- 2Open the TensorTrader extension's TT-Autotune tab, select that key and browse the XMR cells.
- 3Enroll the XMR 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.