Good Morning julienfuentes, LOL hahahahaha smh this is a very good Morning laugh. You getting scammed.
He wants something that works every month without multi month drawdowns. Algo trading cant do that unless it HFT doing 100s of trades per month. So he imagines if he 'clicks clicks clicks' a 100+ times a month and has an edge he won't have many losing months. Having and maintaining the edge is obviously the hard part. Easier said and imagined than done, especially when manual trading seat of your pants style.
Good Morning Volpri, You know i love reading your post @volpri. You have the best posts. Thank you Thank you Thank you Thank you Thank you Thank you Thank you Thank you Thank you Thank you Thank you I LOVE your post. Love it love it love it love it. you are the man buddy. Thank you for the video. Click click click click click click. Make that money. Nice and easy
Good Morning Businessman, You NAILED IT. YOU NAILEd it buddy. You absolutely right. Forget drawdown for months or weeks. If your algo in drawdown for months, YOU DONT HAVE NO DAMN TRADING SYSTEM. YOU HAVE A SCAM AND LIEM Let me show you the ONLY algo trading system ANYONE should put money on. Give me a minute. I be back.
LOL. Just told ya, algos are not necessarily about automation, what part of that didn't you understand, besides, what made you think I wanted to help you? You're beyond help bro.
Those three algos you posted in the original post were clearly over optimised for 2020, 2021 and 2022, while also checking they didn't lose too much in years before that. Typical kind of trap most novice algo developers fall into. I actually did that in 2005 with one of my first Algos. I back tested with data from 2002, 2003 & 2004. With a quick check by testing with a few years before that as well (so called out of sample testing) Luckily for me, that system made money for a couple of more years in live trading, but only a fraction of what the back test was suggesting. Then it stopped working almost completely. You weren't so lucky.
Testing with a focus on the most recent few years of data and making sure the Algo looks really good for those recent years. Then doing some out of sample testing to make sure it didn't lose much in years prior.