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Applied AI

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Applied AI Development

Completion of the Pillow Investment Method: AI Stock Fully Automated Trading for Exciting Mornings - Claude Vibe Coding

"Why does my automated trading collapse in a bear market?" I have also deeply pondered this same question. Most automated trading logics on the market seem to generate profits during a bull market, but they lose their ability to respond the moment the market sentiment changes. To solve this problem, I have combined the know-how I researched myself over the past two years with the latest AI technology. In this course, you will learn how to directly design a 'Transformer-based deep learning model' that simultaneously reads macroeconomic trends and individual stock flows, and how to automatically train and deploy it in a free GPU environment. In particular, we will introduce sophisticated data normalization techniques at the hedge fund level to build an 'Intelligent Comprehensive Scoring System' that goes beyond simple indicators to incorporate news sentiment. To this, we add an 'AI Safety Gate' that implants the insight of a trader with 20 years of experience on Wall Street, adding a final layer of confidence from a human trader's perspective right before a purchase. Beyond simple buying and selling functions, you will directly implement the entire process of an institutional-grade algorithmic system by adding dynamic take-profit and stop-loss logic, eight self-recovery mechanisms, and real-time Slack reports.

(4.9) 29 reviews

235 learners

Level Basic

Course period Unlimited

Python
Python
Machine Learning(ML)
Machine Learning(ML)
AWS
AWS
FastAPI
FastAPI
Quant
Quant
Python
Python
Machine Learning(ML)
Machine Learning(ML)
AWS
AWS
FastAPI
FastAPI
Quant
Quant

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