Automating Trading Strategies with GPT Integration

Sangchul Yoon innovatively integrates GPT into automated trading strategies to enhance investment decision-making and efficiency.

### Advancements in Automated Trading: Integrating GPT for Enhanced Decision-Making
* 📈 In this video, Sangchul Yoon from TacozLabs Accounting shares his progress on an **automatic trading program** developed using Python and the Korea Investment & Securities API.
* 🤖 He has tested a new idea to refine the algorithm, aiming to **enhance profitability** and align the trading strategy with his **personal investment style**.
* 📊 Yoon discusses using GPT for investment decision-making, allowing the trading program to **send market data and receive real-time guidance**.
* 📉 He highlights a practical test where GPT analyzed **three years of stock market data** and recommended investments based on technical analysis methods like **MACD and RSI**.
* 💡 Yoon envisions daily interactions with GPT to receive **stock recommendations and trading instructions**, automating **buy, sell, or hold decisions** every ten minutes.
* 💳 He mentions the **cost-effective nature** of the OpenAI API, which he has integrated into his trading system, allowing for **real-time queries and responses**.
* 📊 Future plans include incorporating **real-time news updates** and linking a personal investment database to GPT for **more precise trading decisions**.
* 🔍 Overall, Yoon expresses excitement about the **potential of GPT in automating trading strategies**, promising to share further developments in upcoming videos.

GPT4 가 자동매매 프로그램에 연결되면 어떤일이? What Happens When GPT-4 Connects to an Automated Trading Program

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Advancements in Automatic Trading Program

Sangchul Yoon from TacozLabs Accounting is making progress on an automatic trading program using Python and the Korea Investment & Securities API.

To enhance profitability, he is refining the algorithm and considering technical analysis techniques for day trading.

Yoon plans to use the OpenAI GPT API for real-time investment decision-making, aiming to communicate market data and guidance to the trading program.

Using AI for Day Trading: Analyzing KOSPI Stocks

The uploaded CSV file contained three years of price data for five KOSPI-listed companies.

GPT provided technical analysis methods, such as MACD and RSI, to recommend the best stock for immediate investment.

The analysis ranked the tickers based on various criteria, ultimately suggesting ticker 5490 as the most promising option for day trading.

The trading program processes data and queries GPT every ten minutes for buy, sell, or hold decisions on ten stocks.

The approach aims to alleviate the time constraints of manual trading, allowing GPT to analyze outcomes and apply continuous trading strategies.

The author plans to connect to OpenAI's API for GPT services, opting for the cost-effective GPT-3.

Registering for an API key from OpenAI allowed me to link GPT with my automated trading system.

I assigned GPT a role as a fund manager investing in Korea and queried it for stock recommendations based on a specific investment strategy.

The plan is to send queries every ten minutes for buy, hold, or sell decisions, with GPT's responses in a data table to influence the trading program's decisions.

The portfolio will be adjusted over time, with a focus on blue-chip and high-gain stocks, while incorporating real-time news updates through a news API.

The GPT API's potential for custom application is being explored by linking a database of investment data, allowing for more precise responses and practical applications in report writing.

The goal is to streamline tasks and reduce manual resource allocation, with plans to share the outcomes in future videos.