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by fattyfatfat 6396 days ago
you're right. and i ran it until it started losing. I announced the day i quit running the basic moving average crossover algo.

I still dabble with variations of it (made like 250 bucks last friday), but I'm now doing way more research and backtesting before I drop things into the market for real.

1 comments

on that note, i lost over 1000 bucks a day for 3 days straight, which is when i quit.

and on having the "secret sauce" to beat the market. Read about Edward Thorpe. He's a badass. He wrote the book "beat the dealer" which was the bible on counting cards and beating vegas at blackjack.

Then he figured out how to price options (convertibles, really) and made a killing in his own hedge fund (Princeton Newport Associates, I believe).

He had the secret sauce, used it to make a killing instead of publishing it. YEARS later, black and scholes published the essentially SAME formula for price options and eventually won a nobel price for their work.

But Thorpe stuck to his guns and made his fortune. Merits to both sides, I suppose.

Check out "My Life as a Quant" by Emanuel Derman http://www.amazon.com/My-Life-Quant-Reflections-Physics/dp/0... and this book about Fischer Black's (of Black Scholes) work in finance. http://www.amazon.com/Fischer-Black-Revolutionary-Idea-Finan...
What's the merit to publishing a successful algorithm? Or using a previously published algorithm that any hedge fund manager or resourceful individual can find and implement trivially.
A better question is how do you know your algorithm is successful? If it predicts correctly 10 days in a row, have you got a winner? It's like those guys that advertise by saying "We outperformed the market by 6.2% on average the last four years." Put enough monkeys in front of a trading terminal and you're going to have some that outperform the market by 6.2%; doesn't mean you should invest your money with them.
Have you ever wondered how every fund manager has a fund in the top 25%? It's easy, they launch several funds in one sector, then after a few years merge them all into the top one, and use its historical performance for the marketing materials not the average of them all.
You can't. You can only know your algorithm was successful. The market is changing, so even if you could prove, given variance and sample size, that your algorithm was +EV and not merely lucky, you would only be proving that it was +Ev and not merely lucky. Not that it will be in the future.
That's why you look at sharpe ratio, rather than absolute return.
What's the merit to publishing a successful algorithm?

In this particular case: a Nobel prize.