TT-Autotune · data 2026-10-11
JUP trading bot: TT-Autotune tuned results by timeframe and regime
Tuned vs default Lorentzian Classification results for JUP across 5 timeframes and six market regimes, and how to automate JUP from TradingView paper first.
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JUP 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 JUP: 5 trained timeframes (15m, 30m, 1h, 4h, 1d) and 30 regime cells, of which 26 beat the stock default settings.
On tuned ROI averaged across regimes, the strongest JUP timeframe is 4h (+85.8% mean), and its best single regime is Chop at +157.9%. 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.
JUP on the 15m chart
On 15m, 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 +40.9% vs default -2.6% (beats default by 43.6 pts)
- Bull-
- tuned +18.9% vs default -8.1% (beats default by 26.9 pts)
- Bear+
- tuned +32.7% vs default -9.2% (beats default by 41.9 pts)
- Bear-
- tuned +23.8% vs default +0.4% (beats default by 23.4 pts)
- Chop
- tuned +11.8% vs default -10.8% (beats default by 22.6 pts)
- Quiet
- tuned +15.7% vs default -2.5% (beats default by 18.1 pts)
JUP on the 30m chart
On 30m, 5 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 +33.8% vs default +0.2% (beats default by 33.6 pts)
- Bull-
- tuned +38.7% vs default -5.0% (beats default by 43.7 pts)
- Bear+
- tuned +18.8% vs default +4.6% (beats default by 14.2 pts)
- Bear-
- tuned +27.6% vs default -1.4% (beats default by 29.0 pts)
- Chop
- tuned -1.5% vs default -1.5% (trails default by 0.0 pts)
- Quiet
- tuned +26.9% vs default -6.1% (beats default by 33.1 pts)
JUP on the 1h chart
On 1h, 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 +40.2% vs default -5.5% (beats default by 45.7 pts)
- Bull-
- tuned +31.3% vs default -12.6% (beats default by 43.9 pts)
- Bear+
- tuned +40.0% vs default +2.5% (beats default by 37.5 pts)
- Bear-
- tuned +42.4% vs default +0.8% (beats default by 41.6 pts)
- Chop
- tuned +37.5% vs default -9.7% (beats default by 47.1 pts)
- Quiet
- tuned +17.7% vs default -7.6% (beats default by 25.3 pts)
JUP 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 +102.5% vs default -25.5% (beats default by 128.0 pts)
- Bull-
- tuned +64.0% vs default -29.3% (beats default by 93.4 pts)
- Bear+
- tuned +101.9% vs default -25.8% (beats default by 127.7 pts)
- Bear-
- tuned +68.9% vs default +13.3% (beats default by 55.6 pts)
- Chop
- tuned +157.9% vs default +45.7% (beats default by 112.2 pts)
- Quiet
- tuned +19.2% vs default +5.8% (beats default by 13.4 pts)
JUP on the 1d chart
On 1d, 3 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 -2.5% vs default -2.5% (trails default by 0.0 pts)
- Bull-
- tuned -6.5% vs default -6.5% (trails default by 0.0 pts)
- Bear+
- tuned +63.8% vs default +3.1% (beats default by 60.7 pts)
- Bear-
- tuned +101.2% vs default -14.4% (beats default by 115.6 pts)
- Chop
- tuned +53.2% vs default -18.9% (beats default by 72.1 pts)
- Quiet
- tuned +0.0% vs default +0.0% (trails default by 0.0 pts)
How to read these JUP 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 JUP cell as a hypothesis to paper trade, not a forecast.
Trade JUP from TradingView
- 1Connect a trade-only key on a live-ready venue that lists JUP perpetuals, on testnet first.
- 2Open the TensorTrader extension's TT-Autotune tab, select that key and browse the JUP cells.
- 3Enroll the JUP 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.