TT-Autotune · data 2026-10-11
GRAM trading bot: TT-Autotune tuned results by timeframe and regime
Tuned vs default Lorentzian Classification results for GRAM across 3 timeframes and six market regimes, and how to automate GRAM from TradingView paper first.
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GRAM 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 GRAM: 3 trained timeframes (15m, 30m, 1h) and 18 regime cells, of which 16 beat the stock default settings.
On tuned ROI averaged across regimes, the strongest GRAM timeframe is 30m (+13.2% mean), and its best single regime is Quiet at +27.8%. 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.
GRAM on the 15m chart
On 15m, 5 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 +13.2% vs default -0.2% (beats default by 13.4 pts)
- Bull-
- tuned +5.1% vs default -3.2% (beats default by 8.3 pts)
- Bear+
- tuned +8.1% vs default -3.4% (beats default by 11.5 pts)
- Bear-
- tuned +5.1% vs default -4.6% (beats default by 9.6 pts)
- Chop
- tuned -0.5% vs default -0.5% (trails default by 0.0 pts)
- Quiet
- tuned +6.2% vs default -4.5% (beats default by 10.7 pts)
GRAM on the 30m chart
On 30m, 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 +9.9% vs default +0.0% (beats default by 9.9 pts)
- Bull-
- tuned +21.5% vs default -2.4% (beats default by 23.9 pts)
- Bear+
- tuned +6.2% vs default +0.0% (beats default by 6.2 pts)
- Bear-
- tuned +14.2% vs default -5.1% (beats default by 19.2 pts)
- Chop
- tuned -0.1% vs default -0.1% (trails default by 0.0 pts)
- Quiet
- tuned +27.8% vs default -12.4% (beats default by 40.2 pts)
GRAM on the 1h chart
On 1h, 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 +13.1% vs default -2.7% (beats default by 15.9 pts)
- Bull-
- tuned +18.8% vs default -0.4% (beats default by 19.2 pts)
- Bear+
- tuned +9.2% vs default +0.1% (beats default by 9.1 pts)
- Bear-
- tuned +6.3% vs default +1.7% (beats default by 4.6 pts)
- Chop
- tuned +10.3% vs default +3.5% (beats default by 6.8 pts)
- Quiet
- tuned +12.8% vs default -3.0% (beats default by 15.9 pts)
How to read these GRAM 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 GRAM cell as a hypothesis to paper trade, not a forecast.
Trade GRAM from TradingView
- 1Connect a trade-only key on a live-ready venue that lists GRAM perpetuals, on testnet first.
- 2Open the TensorTrader extension's TT-Autotune tab, select that key and browse the GRAM cells.
- 3Enroll the GRAM 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.