3. My algorithm

⚠️ Please read the following CAREFULLY before investing

money in my strategy (especially the Risks section) ⚠️

Main properties of the expert:

🟢 Trend following system on $ETHUSDT futures.

🟢 No grid, no martingale, not holding loss positions for a long time.

🟢 Trades only 1 deal at a time. Next deal can be opened only after the 1st one was closed.

🟢 Each deal has a fixed SL that can only be shortened.

🟢 Uses trailing SL to maximize profit from big trends.

➡️ On the one hand, it uses some adaptive conditions to enter the trend with a relatively short SL, follow that trend with trailing SL and exit or reverse at the end of the trend. These conditions adapt to the market situation.

➡️ On the other, it has some filters to avoid multiple losses during the flat phase, which were tuned based on my original technique that I call "an optimization without optimization". It was inspired by several research articles ([1], [2], [3]) where I found the answer why most of the optimization techniques used in algotrading are fail. This approach allows to reduce an overfitting to minimum.

Examples of deals: see screenshot.

References:

[1] D. Bailey, J. Borwein, M. López de Prado and J. Zhu, The probability of backtest overfitting, 2013, working paper.

[2] D. Bailey and M. López de Prado, The Sharpe ratio efficient frontier, Journal of Risk 15(2) (2012), 3–44.

[3] Bailey, D., J. Borwein, M. L´opez de Prado and J. Zhu, “Pseudo-mathematics and financial charlatanism: The effects of backtest over fitting on out-of-sample performance,” Notices of the AMS, 61 May (2014), 458–471.

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