TT-Autotune · data 2026-09-26
IOST trading bot: TT-Autotune tuned results by timeframe and regime
Tuned vs default Lorentzian Classification results for IOST across 4 timeframes and six market regimes, and how to automate IOST from TradingView paper first.
IOST 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 IOST: 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 IOST timeframe is 4h (+98.1% mean), and its best single regime is Bull+ at +205.1%. 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.
IOST 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 +109.7% vs default -17.4% (beats default by 127.1 pts)
- Bull-
- tuned +27.9% vs default -2.0% (beats default by 29.9 pts)
- Bear+
- tuned +61.5% vs default -16.0% (beats default by 77.4 pts)
- Bear-
- tuned +17.0% vs default -2.4% (beats default by 19.4 pts)
- Chop
- tuned +28.4% vs default -0.7% (beats default by 29.1 pts)
- Quiet
- tuned +7.0% vs default -0.5% (beats default by 7.5 pts)
IOST 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 +78.6% vs default -1.8% (beats default by 80.4 pts)
- Bull-
- tuned +23.8% vs default -1.0% (beats default by 24.7 pts)
- Bear+
- tuned +50.8% vs default +4.2% (beats default by 46.5 pts)
- Bear-
- tuned +65.3% vs default -9.1% (beats default by 74.5 pts)
- Chop
- tuned +20.8% vs default -16.2% (beats default by 37.0 pts)
- Quiet
- tuned +36.6% vs default -8.0% (beats default by 44.6 pts)
IOST on the 4h chart
On 4h, 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 +205.1% vs default +4.3% (beats default by 200.8 pts)
- Bull-
- tuned +60.5% vs default -5.3% (beats default by 65.9 pts)
- Bear+
- tuned +121.9% vs default -17.3% (beats default by 139.2 pts)
- Bear-
- tuned +70.6% vs default -9.7% (beats default by 80.4 pts)
- Chop
- tuned +79.3% vs default +5.6% (beats default by 73.7 pts)
- Quiet
- tuned +51.0% vs default +1.5% (beats default by 49.6 pts)
IOST on the 1d chart
On 1d, 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 +154.6% vs default +23.8% (beats default by 130.8 pts)
- Bull-
- tuned +105.0% vs default +25.2% (beats default by 79.7 pts)
- Bear+
- tuned +75.0% vs default -29.7% (beats default by 104.7 pts)
- Bear-
- tuned +78.3% vs default +9.6% (beats default by 68.7 pts)
- Chop
- tuned +96.1% vs default +21.6% (beats default by 74.5 pts)
- Quiet
- tuned +0.0% vs default +0.0% (trails default by 0.0 pts)
How to read these IOST 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 IOST cell as a hypothesis to paper trade, not a forecast.
Trade IOST from TradingView
- 1Connect a trade-only key on a live-ready venue that lists IOST perpetuals, on testnet first.
- 2Open the TensorTrader extension's TT-Autotune tab, select that key and browse the IOST cells.
- 3Enroll the IOST 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.