Crypto Updates

Bitget exec discusses limitations and benefits of CTA AI trading bot

Bitget exec discusses limitations and benefits of CTA AI trading bot

One area where artificial intelligence (Ai) technologies are rapidly synergizing with blockchain is at cryptocurrency exchanges. Since the beginning of the year, Binance has launched an AI-powered nonfungible tokens (NFTs) generator for authenticated users. Meanwhile, OKX has introduced an AI integration to monitor market volatility. Bybit has also plugged into ChatGPT for AI-powered trading tools. 

On the other hand, cryptocurrency exchange Bitget has rolled out a series of AI-trading bots starting in June. On July 27, the exchange launched a new Commodities Trading Advisor (CTA) AI bot. In an interview with Cointelegraph, Gracy Chen, Bitget’s managing director, explained the benefits and risk factors in detail. 

Cointelegraph: What is the difference between the CTA AI bot and a regular commodities trading algorithm?

Gracy Chen (GC): The AI bot consists of MACD [moving average convergence divergence] and Boll [Bollinger band] indicator strategies. It outputs new strategy logic by continuously receiving historical strategy data, analyzing and processing the data, thereby realizing self-learning. So AI strategies help users choose and create strategies more intuitively by only needing a simple rate of return number and price chart, eliminating the need to fill in complex parameters like in algorithms.

CT: While AI models can perform competently under normal conditions, they tend to behave erratically during extraneous events, such as a sudden increase or decrease in price. Are there any safeguards for users in this regard?

GC: This is undoubtedly a huge impact that any trading platform will face. In particular, the biggest impact on the revenue of CTA AI strategy is that we are prone to receive many false signals during the operation resulting in possible losses. That said, we try to protect the interest of the users through two ways:

The AI strategies we launched are all based on large K-line [candlestick] time periods to calculate indicators (the minimum K-line period is 1 hour). Therefore, many abnormal fluctuations in short periods will be smoothed out in large periods, which can effectively reduce the impact of false signals.

In addition, we also…

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