🔮 Can You Beat the S&P 500 with PURE Luck? 🤔 The Random Strategy Experiment!

Рет қаралды 1,246

3 ай бұрын

Dive into the heart of trading strategies with us 🚀! Can a strategy based purely on luck outperform the market? 🎲 We're putting the random entry strategy to the test against the S&P 500 to find out! 💥 Discover the power of fundamentals over fortune, and make sure your trading strategy isn't just a roll of the dice. 📊✨
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Ali Casey here from StatOasis channel, I post about Finance, Investing, Algorithmic Trading and everything else in between.
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Пікірлер: 15

@LuandreEzra 3 ай бұрын

Truly an eye opening. Your insight answering my question about how to do a correct backtest and not just relying on optimization.

@StatOasis 3 ай бұрын

Thank u, its getting very easy to build strategies so we need better solutions for robustness

@uiop5898 3 ай бұрын

Interesting . Could you please share the code for the random entry ?

@StatOasis 3 ай бұрын

I share video code in the community Go.StatOasis.com/community

@eitan71 3 ай бұрын

WOW this is really amazing but since the market is going up in the long run - it's also at the same time, quite understandable and maybe even somewhat predictable. i wonder how it will be in "crazy" markets like different coins of crypto. Thank you for showing this to us.

@StatOasis 3 ай бұрын

the test is since 2006, so it has 3 2008 crash, 2011,2015 mini crashes, and 2020 covid crash

@eitan71 3 ай бұрын

@@StatOasis yes, but still in the long run, even if we add things up - the market is\should go up, right? so it still is somewhat predictable that a random buy would end up in profit. can you also test on crypto please? (i'm a crypto trader). Thank you for the reply and great videos!

@StatOasis 3 ай бұрын

the problem with crypto is the number of decimals and the data history. not all programmable platforms can deal with that data precision and also it is hard to get clean historical data. the platform that handle crypto data and equipped to trade crypto are usually chart based or very limited when it comes to programming.