The key to automated trading has never been promises, but actual verification. Backtesting is this verification process—allowing you to see clearly which strategies can make money, which will lose, and where the problems are before investing real money. This is the true value of quantitative trading tools. The process is simple: first test your ideas with historical data, calmly adjust after discovering issues, and finally execute in real trading. Skipping this step and just placing orders? That's gambling, not trading.
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BearMarketSurvivor
· 15h ago
Backtesting is indeed important, but I've seen too many cases where perfect backtesting leads to real-world crashes. Can't curve fitting traps be prevented?
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zkProofInThePudding
· 15h ago
Backtesting is easy to talk about but hard to do; most people still can't resist the urge to just go ahead and do it.
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SerumSurfer
· 15h ago
Backtesting is not done; those who go all-in directly are cannon fodder. There's nothing wrong with that statement.
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ProofOfNothing
· 15h ago
No backtesting, go all-in directly— isn't this just a gambler's self-discipline?
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TheMemefather
· 16h ago
Backtesting is not done; those who go all-in directly are all newbies, with no exceptions.
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BearMarketMonk
· 16h ago
Backtesting without going all-in directly—that's what a seasoned pro looks like.
The key to automated trading has never been promises, but actual verification. Backtesting is this verification process—allowing you to see clearly which strategies can make money, which will lose, and where the problems are before investing real money. This is the true value of quantitative trading tools. The process is simple: first test your ideas with historical data, calmly adjust after discovering issues, and finally execute in real trading. Skipping this step and just placing orders? That's gambling, not trading.