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Bitget exec discusses limitations and benefits of CTA AI trading bot

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One space the place synthetic intelligence (Ai) applied sciences are quickly synergizing with blockchain is at cryptocurrency exchanges. Because the starting of the yr, Binance has launched an AI-powered nonfungible tokens (NFTs) generator for authenticated customers. In the meantime, OKX has launched an AI integration to observe market volatility. Bybit has additionally plugged into ChatGPT for AI-powered buying and selling instruments. 

Alternatively, cryptocurrency trade Bitget has rolled out a collection of AI-trading bots beginning in June. On July 27, the trade launched a brand new Commodities Buying and selling Advisor (CTA) AI bot. In an interview with Cointelegraph, Gracy Chen, Bitget’s managing director, defined the advantages and danger elements intimately. 

Cointelegraph: What’s the distinction between the CTA AI bot and an everyday commodities buying and selling algorithm?

Gracy Chen (GC): The AI bot consists of MACD [moving average convergence divergence] and Boll [Bollinger band] indicator methods. It outputs new technique logic by repeatedly receiving historic technique information, analyzing and processing the information, thereby realizing self-learning. So AI methods assist customers select and create methods extra intuitively by solely needing a easy price of return quantity and worth chart, eliminating the necessity to fill in advanced parameters like in algorithms.

CT: Whereas AI fashions can carry out competently underneath regular situations, they have an inclination to behave erratically throughout extraneous occasions, resembling a sudden enhance or lower in worth. Are there any safeguards for customers on this regard?

GC: That is undoubtedly a big impact that any buying and selling platform will face. Particularly, the most important influence on the income of CTA AI technique is that we’re susceptible to obtain many false alerts in the course of the operation leading to attainable losses. That stated, we attempt to defend the curiosity of the customers by two methods:

The AI methods we launched are all primarily based on giant Okay-line [candlestick] time durations to calculate indicators (the minimal Okay-line interval is 1 hour). Due to this fact, many irregular fluctuations in brief durations will probably be smoothed out in giant durations, which might successfully cut back the influence of false alerts.

As well as, we additionally present customers with the choice of cease revenue and cease loss within the superior settings, which might mechanically assist customers to cease revenue and cease loss to guard the rights and pursuits of the account.

CT: Since CTA methods are largely utilized for exchange-traded commodities like soybeans or oil, how does this technique apply particularly to crypto?

GC: CTA methods, in precept, grasp market fluctuations primarily based on the connection between quantity and worth. They’re simpler in additional risky markets, resembling cryptocurrencies. Cash and tokens are extra susceptible to giant fluctuations attributable to its cutting-edge expertise, development of the instances, and variety of individuals from all around the world.

CT: In our earlier dialogue, you talked about that a number of Bitget departments are presently experimenting with AI; are you able to elevate a selected instance?

GC: We use AI expertise to conduct pattern coaching, evaluation, and processing in keeping with completely different consumer buying and selling habits to attain clever suggestion content material for various teams of individuals. As well as, we’re utilizing AI to carry out guide duties resembling producing posters, copywriting, and easy codes.

CT: What are some benefits of AI-powered buying and selling in comparison with human or algorithmic buying and selling strategies?

GC: AI methods might help customers select and create methods extra intuitively by a easy price of return quantity and worth chart, eliminating the necessity to fill in advanced parameters resembling algorithms.

Sooner or later, Chen defined that Bitget will be taught from the success of enormous language fashions (LLMs) resembling ChatGPT to enhance its AI bots. “We all know that the success of ChatGPT is especially attributable to two features, tremendous giant pattern information, and good studying mannequin. And our AI technique may also begin from these two features to enhance the profitability,” she stated.

Bitget MD Gracy Chen at WebX_Asia | Supply: Twitter

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