Zero To 10M : AI Crypto Trading

The KOSPI has remained trapped between 2,550 and 2,750 points for over five months. The daily average trading volume of the KOSPI market in the first quarter of this year was approximately 9.5 trillion KRW, a figure that pales in comparison to the liquidity seen during bull markets. This is the epitome of a 'sideways market'—characterized by low volatility, unclear direction, and investor fatigue. In such an environment, the allure of 'AI quantitative auto-trading that claims to generate steady returns regardless of market direction with near-zero liquidation risk' grows exponentially. Marketing materials are flooded with terms like 'low-risk arbitrage,' 'market-neutral strategy,' and 'AI deep learning prediction.' However, based on my two decades of experience, including multiple business failures, real estate loan pressures, and hands-on development of quantitative trading systems, I assert the following: The promise of ...

The Korea Exchange's data for the first half of 2024 reveals a stark figure: the proportion of program and algorithmic trading by institutional and foreign investors reached an average of 68.7%. For individual investors, this manifests as a market where sharp intraday fluctuations of ±2% have become routine, not exceptional. The V-KOSPI index, a measure of expected volatility, consistently trades at levels 30-40% higher than the pre-pandemic five-year average. This environment systematically exploits the psychological vulnerabilities of retail investors—fear of missing out (FOMO) and loss aversion. The promise of automated trading systems and their myriad of auxiliary indicators (RSI, MACD, Bollinger Bands, etc.) is, fundamentally, a promise of reclaiming control in a chaotic system. However, most discussions focus on the "signal" these indicators generate, not the mathematical engine and its inherent assumptions that produce it. This is akin to drivi...