TT-Autotune · data 2026-10-11
QTUM trading bot: TT-Autotune tuned results by timeframe and regime
Tuned vs default Lorentzian Classification results for QTUM across 3 timeframes and six market regimes, and how to automate QTUM from TradingView paper first.
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QTUM 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 QTUM: 3 trained timeframes (15m, 1h, 1d) and 18 regime cells, of which 17 beat the stock default settings.
On tuned ROI averaged across regimes, the strongest QTUM timeframe is 1d (+90.2% mean), and its best single regime is Chop at +188.5%. 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.
QTUM on the 15m chart
On 15m, 6 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 +8.3% vs default -7.6% (beats default by 15.9 pts)
- Bull-
- tuned +11.9% vs default -3.7% (beats default by 15.6 pts)
- Bear+
- tuned +10.1% vs default +1.0% (beats default by 9.2 pts)
- Bear-
- tuned +15.7% vs default -2.4% (beats default by 18.1 pts)
- Chop
- tuned +4.2% vs default -0.2% (beats default by 4.4 pts)
- Quiet
- tuned +10.1% vs default -8.5% (beats default by 18.6 pts)
QTUM on the 1h chart
On 1h, 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 +28.6% vs default -1.0% (beats default by 29.6 pts)
- Bull-
- tuned +11.6% vs default -8.9% (beats default by 20.5 pts)
- Bear+
- tuned +16.3% vs default -2.8% (beats default by 19.0 pts)
- Bear-
- tuned +15.2% vs default -6.9% (beats default by 22.1 pts)
- Chop
- tuned +22.3% vs default -11.3% (beats default by 33.7 pts)
- Quiet
- tuned +25.1% vs default -3.5% (beats default by 28.6 pts)
QTUM 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 +104.9% vs default -3.0% (beats default by 108.0 pts)
- Bull-
- tuned +108.2% vs default +0.0% (beats default by 108.2 pts)
- Bear+
- tuned +57.1% vs default +2.9% (beats default by 54.2 pts)
- Bear-
- tuned +82.7% vs default -0.9% (beats default by 83.7 pts)
- Chop
- tuned +188.5% vs default +43.6% (beats default by 144.9 pts)
- Quiet
- tuned +0.0% vs default +0.0% (trails default by 0.0 pts)
How to read these QTUM 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 QTUM cell as a hypothesis to paper trade, not a forecast.
Trade QTUM from TradingView
- 1Connect a trade-only key on a live-ready venue that lists QTUM perpetuals, on testnet first.
- 2Open the TensorTrader extension's TT-Autotune tab, select that key and browse the QTUM cells.
- 3Enroll the QTUM 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.