Written in C/C++, it is noted for being up to 100x faster than platforms like TradingView or Python for large-scale backtesting and Monte Carlo simulations.
One of the greatest dangers in writing custom AFL is "curve fitting" or "over-optimization." This occurs when a trader tweaks code parameters to perfectly match historical data, creating a strategy that looks excellent in backtesting but fails in live markets. The verification process serves as a gatekeeper against this. By adhering to strict verification protocols, such as out-of-sample testing, a trader can validate that the code is robust. A verified code does not just replicate past price movements; it captures a genuine market inefficiency. Without this disciplined approach, a trader may deploy a strategy that is mathematically perfect but financially ruinous. amibroker afl code verified
The first step is checking for "clean" code that follows AmiBroker's language rules. Blazing Speed: Written in C/C++, it is noted
One of the biggest pitfalls in AFL is the "look-ahead" bias (using future data to predict the past). Verified code is audited to ensure it only uses information available at the time of the trade. By adhering to strict verification protocols, such as