TT-Autotune · data 2026-11-13
COST trading bot: TT-Autotune tuned results by timeframe and regime
Tuned vs default Lorentzian Classification results for COST across 1 timeframes and six market regimes, and how to automate COST from TradingView paper first.
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COST 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 COST: 1 trained timeframe (5m) and 6 regime cells, of which 3 beat the stock default settings.
On tuned ROI averaged across regimes, the strongest COST timeframe is 5m (-3.8% mean), and its best single regime is Bear- at +1.2%. 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.
COST on the 5m chart
On 5m, 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 +0.1% vs default +0.0% (beats default by 0.1 pts)
- Bull-
- tuned +1.1% vs default -0.6% (beats default by 1.7 pts)
- Bear+
- tuned -0.3% vs default -0.3% (trails default by 0.0 pts)
- Bear-
- tuned +1.2% vs default -0.5% (beats default by 1.7 pts)
- Chop
- tuned +0.0% vs default +0.0% (trails default by 0.0 pts)
- Quiet
- tuned -24.8% vs default -24.8% (trails default by 0.0 pts)
How to read these COST 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 COST cell as a hypothesis to paper trade, not a forecast.
Trade COST from TradingView
- 1Connect a trade-only key on a live-ready venue that lists COST perpetuals, on testnet first.
- 2Open the TensorTrader extension's TT-Autotune tab, select that key and browse the COST cells.
- 3Enroll the COST 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.