It seems like all anyone is talking about these days is AI and ChatGPT. I have been playing with various AI tools for a while now, including Midjourney, ChatGPT, and AutoGPT. These tools are amazing, and can really help. But can they improve your cryptocurrency trading? The answer is a definite maybe.
Now to get the best out of GPT4 you need to either subscribe as a premium user, or get access to the API. (More on the API in another post). With access to the beta features of ChatGPT, or with the API, it can access the internet. This is huge. Normally ChatGPT is limited to information up to 2021; the more advanced features allow it to go out into the live internet and search for information.
So that is what I asked it to do – to search the internet and get me the best strategies and indicators for cryptocurrency trading. This took a little while, and I had to give is some further instructions to get it to give me something useful – but here is what GPT4 came up with (note – as always, none of this is financial advice. Cryptocurrency trading is risky business – and we all take our own risks):
GPT4 Generated Cryptocurrency Trading Plan
Refined Cryptocurrency Trading Strategy:
- Use a combination of Moving Averages (MAs) and Exponential Moving Averages (EMAs) to identify trends and potential entry and exit points. For example, use a 50-day MA and a 200-day MA to identify long-term trends.
- Apply the Volume Weighted Average Price (VWAP) to gauge the average price at which a cryptocurrency has been traded throughout the day, relative to its volume. Look for price deviations from the VWAP as potential entry and exit points.
- Utilize Pivot Points to determine potential support and resistance levels, which can help identify entry and exit points. Look for price reversals near these levels.
- Implement the Know Sure Thing (KST) indicator to identify momentum shifts and potential trend reversals. Look for KST crossovers as potential entry and exit points.
- Use the Stochastic RSI (StochRSI) to identify overbought and oversold conditions, which can signal potential entry and exit points. A StochRSI value above 80 indicates overbought conditions, while a value below 20 indicates oversold conditions.
- Apply the Supertrend indicator to identify the overall trend direction and potential trend reversals. Look for Supertrend crossovers as potential entry and exit points.
- Use Bollinger Bands to measure market volatility and identify potential entry and exit points based on price movements relative to the bands. Look for price reversals near the upper and lower bands.
- Incorporate trend, support, and resistance lines to identify potential entry and exit points and overall market direction. Look for price reversals near these lines.
Risk Management Measures:
- Set stop-loss orders to limit potential losses. A suggested stop-loss percentage is 1-3% below the entry price for long positions and 1-3% above the entry price for short positions.
- Use position sizing to manage risk exposure. Allocate a fixed percentage of your trading capital to each trade, such as 1-2%.
- Regularly review and adjust the strategy based on market conditions and performance.
So, not terrible. I wouldn’t say this is a complete strategy – more of an outline of a strategy. For example – point 4 does bring up a useful indicator (KST), but it doesn’t give much in the way of helpful instructions on how to use it. The risk management section is useful, and will (probably) help avoid being blown up completely, if you follow it.
I’m going to try to refine things further with AI. My own strategy, and probably yours, ends up being a series of different factors, and a little bit of pattern recognition. But as an outline of what to research and how to start developing your own strategy, you could do worse than what AI came up with above. Quite frankly, I have seen much worse advice on YouTube, from very popular channels.
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