TT-Autotune · data 2026-10-11
EGLD trading bot: TT-Autotune tuned results by timeframe and regime
Tuned vs default Lorentzian Classification results for EGLD across 4 timeframes and six market regimes, and how to automate EGLD from TradingView paper first.
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EGLD 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 EGLD: 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 EGLD timeframe is 1d (+91.6% mean), and its best single regime is Bear- at +139.3%. 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.
EGLD on the 15m chart
On 15m, 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 +23.1% vs default -1.0% (beats default by 24.1 pts)
- Bull-
- tuned +29.3% vs default +1.7% (beats default by 27.6 pts)
- Bear+
- tuned +21.5% vs default -3.0% (beats default by 24.5 pts)
- Bear-
- tuned +23.8% vs default +1.5% (beats default by 22.2 pts)
- Chop
- tuned +19.3% vs default +3.6% (beats default by 15.7 pts)
- Quiet
- tuned +10.0% vs default -7.2% (beats default by 17.1 pts)
EGLD 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 +35.4% vs default +8.7% (beats default by 26.7 pts)
- Bull-
- tuned +20.6% vs default -8.7% (beats default by 29.3 pts)
- Bear+
- tuned +22.4% vs default +4.0% (beats default by 18.4 pts)
- Bear-
- tuned +39.5% vs default -5.0% (beats default by 44.5 pts)
- Chop
- tuned +33.5% vs default +4.2% (beats default by 29.2 pts)
- Quiet
- tuned +25.4% vs default -12.9% (beats default by 38.3 pts)
EGLD 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 +88.0% vs default -11.2% (beats default by 99.1 pts)
- Bull-
- tuned +87.7% vs default -16.2% (beats default by 103.9 pts)
- Bear+
- tuned +67.9% vs default -6.7% (beats default by 74.6 pts)
- Bear-
- tuned +76.5% vs default -4.5% (beats default by 81.0 pts)
- Chop
- tuned +92.9% vs default -18.1% (beats default by 110.9 pts)
- Quiet
- tuned +34.2% vs default -1.1% (beats default by 35.3 pts)
EGLD on the 1d chart
On 1d, 5 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 +118.1% vs default -11.4% (beats default by 129.6 pts)
- Bull-
- tuned +58.6% vs default +6.7% (beats default by 51.9 pts)
- Bear+
- tuned +114.1% vs default -10.3% (beats default by 124.4 pts)
- Bear-
- tuned +139.3% vs default -7.4% (beats default by 146.7 pts)
- Chop
- tuned +119.6% vs default -30.0% (beats default by 149.6 pts)
- Quiet
- tuned +0.0% vs default +0.0% (trails default by 0.0 pts)
How to read these EGLD 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 EGLD cell as a hypothesis to paper trade, not a forecast.
Trade EGLD from TradingView
- 1Connect a trade-only key on a live-ready venue that lists EGLD perpetuals, on testnet first.
- 2Open the TensorTrader extension's TT-Autotune tab, select that key and browse the EGLD cells.
- 3Enroll the EGLD 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.