TT-Autotune · data 2026-10-11
AAVE trading bot: TT-Autotune tuned results by timeframe and regime
Tuned vs default Lorentzian Classification results for AAVE across 5 timeframes and six market regimes, and how to automate AAVE from TradingView paper first.
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AAVE 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 AAVE: 5 trained timeframes (15m, 30m, 1h, 4h, 1d) and 30 regime cells, of which 27 beat the stock default settings.
On tuned ROI averaged across regimes, the strongest AAVE timeframe is 4h (+83.8% mean), and its best single regime is Chop at +144.2%. 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.
AAVE 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 +21.6% vs default +0.2% (beats default by 21.4 pts)
- Bull-
- tuned +21.3% vs default -1.4% (beats default by 22.7 pts)
- Bear+
- tuned +16.6% vs default -3.9% (beats default by 20.5 pts)
- Bear-
- tuned +15.1% vs default +3.7% (beats default by 11.4 pts)
- Chop
- tuned +16.8% vs default +2.5% (beats default by 14.3 pts)
- Quiet
- tuned +15.3% vs default -4.7% (beats default by 20.0 pts)
AAVE 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 +16.9% vs default -0.5% (beats default by 17.4 pts)
- Bull-
- tuned +26.6% vs default +1.1% (beats default by 25.5 pts)
- Bear+
- tuned +5.9% vs default +0.0% (beats default by 5.9 pts)
- Bear-
- tuned +17.6% vs default -3.9% (beats default by 21.4 pts)
- Chop
- tuned +0.0% vs default +0.0% (trails default by 0.0 pts)
- Quiet
- tuned +35.3% vs default -1.2% (beats default by 36.5 pts)
AAVE 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 +35.5% vs default +2.1% (beats default by 33.4 pts)
- Bull-
- tuned +34.8% vs default +7.8% (beats default by 27.0 pts)
- Bear+
- tuned +25.8% vs default +0.4% (beats default by 25.4 pts)
- Bear-
- tuned +36.6% vs default -3.5% (beats default by 40.1 pts)
- Chop
- tuned +37.5% vs default -5.1% (beats default by 42.6 pts)
- Quiet
- tuned +25.0% vs default -3.6% (beats default by 28.6 pts)
AAVE 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 +65.6% vs default -9.1% (beats default by 74.7 pts)
- Bull-
- tuned +86.2% vs default +8.1% (beats default by 78.2 pts)
- Bear+
- tuned +70.7% vs default -4.3% (beats default by 75.0 pts)
- Bear-
- tuned +102.7% vs default +1.4% (beats default by 101.2 pts)
- Chop
- tuned +144.2% vs default +15.0% (beats default by 129.2 pts)
- Quiet
- tuned +33.3% vs default -4.1% (beats default by 37.4 pts)
AAVE on the 1d chart
On 1d, 4 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 +75.8% vs default -10.7% (beats default by 86.5 pts)
- Bull-
- tuned +65.5% vs default -40.4% (beats default by 106.0 pts)
- Bear+
- tuned -1.1% vs default -1.1% (trails default by 0.0 pts)
- Bear-
- tuned +64.6% vs default -11.2% (beats default by 75.8 pts)
- Chop
- tuned +118.9% vs default -17.7% (beats default by 136.6 pts)
- Quiet
- tuned +0.0% vs default +0.0% (trails default by 0.0 pts)
How to read these AAVE 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 AAVE cell as a hypothesis to paper trade, not a forecast.
Trade AAVE from TradingView
- 1Connect a trade-only key on a live-ready venue that lists AAVE perpetuals, on testnet first.
- 2Open the TensorTrader extension's TT-Autotune tab, select that key and browse the AAVE cells.
- 3Enroll the AAVE 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.