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AI优化的高频交易代码

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发表于 30-10-2024 11:20 AM | 显示全部楼层 |阅读模式
虽然给出的东西並对我没太多帮助也优化不了, 但给出的代码思路太令人驚艶了 !





Explanation

Market Data Simulation (generateMarketData): Generates random prices. In a real HFT system, this would involve parsing a live data feed from an exchange.

Simple Moving Average (SMA) Calculation: Uses a fixed window size to calculate the SMA based on recent prices.

Mean Reversion Strategy: Compares the current price to the SMA to decide on buy/sell signals.

Order Management (executeOrder): Executes orders based on signals. In practice, this would send orders to an exchange via low-latency APIs or protocols like FIX.

High-Frequency Simulation: A sleep_for function mimics high-frequency order placement by looping every 10 milliseconds.

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