Buy Биткоин BTC
Bitcoin (BTC)
Buy Эфир ETH
Ethereum (ETH)
Buy BNB
BNB (BNB)
Buy Ripple XRP
Ripple (XRP)
Buy Tron TRX
Tron (TRX)
Buy Polygon Matik
Polygon (POL)
Buy Solana SOL
Solana (SOL)
Buy Dogecoin DOGE
Dogecoin (DOGE)
Buy Avalanche AVAX
Avalanche (AVAX)
Buy Cardano ADA
Cardano (ADA)
Buy Polkadot DOT
Polkadot (DOT)
Buy Syscoin SYS
Syscoin (SYS)

What is Over-Optimization?

Crypto Terms Glossary: What is Over-Optimization?

Over-optimization is a process that occurs when traders create a trading algorithm (often using excessive curve-fitting) on a computerized system that looks great in theory, but when it is actually used in a real-time market trading scenario does not perform as desired. This occurs when the algorithmic trading system is too complex for the computer to handle it, resulting in an overloaded computational system.

Share this news and win 10 USDT with daily contest on CryptoFingers Telegram.
Make crypto bots for trading
Press Releases: NOWK Unveils Revolutionary Crypto Utility: Secrets Revealed!
No One Will Know (NOWK) Meme Coin Takes Solana by Storm - In an exciting development for the Solana ecosystem, No One Will Know (NOWK) has officially launched, bringing a new wave..
Press Releases: Shiba Inu’s Rise May Be Limited, But WallitIQ (WLTQ) Is On Track For 10,000% Explosive Growth By March
The cryptocurrency market has seen its fair share of ups and downs, with tokens like Shiba Inu (SHIB) captivating the imaginations of millions of investors. However, as seasoned crypto..
Press Releases: xJar Protocol Offers 1% Daily ROI, The Revolutionary Platform on BNB Chain - Early Adopters Rush to Secure Positions
Ground-Breaking Protocol Delivers Automated 1% Daily Returns with Military-Grade Security on BNB Chain By xJar..
Press Releases: Dogecoin Millionaire Picks This Sub $1 Altcoin as the Top Choice for Long-Term Crypto Wealth
Dogecoin (DOGE) has recently dropped, triggering fears of a continued price fall. Investors now consider RCO Finance an appropriate alternative after its ongoing presale has sold more..