• OpenAI released their new ChatGPT 4.0 bot which can understand and generate responses to complex queries.
• The bot is not 100% accurate and users need to verify the information it generates.
• The bot was tested with a simple intra-day trading strategy using RSI and moving averages, resulting in a successful prediction of Cardano’s price in 2023-24.
OpenAI Releases ChatGPT 4.0
On 14 March 2023, OpenAI announced the release of their newest, smartest bot so far – ChatGPT 4.0. This language model has been trained on enormous amounts of text data, allowing it to understand and generate responses to complex queries from the user. Although it tries to be accurate, the user must verify the information it generates as it is not designed to be 100% accurate but rather to mimic a human response.
The chatbot was tested with a basic intra-day strategy using indicators such as RSI and moving averages. Taking these indicators into account, ChatGPT generated buy and sell signals for intra-day traders when RSI is above 50 and Fibonacci numbers 13/21 as moving averages periods are used respectively. These signals were then tested on Cardano’s chart with promising results.
AMBCrypto AI Model
ChatGPT does not have access to live data such as current market prices of various assets nor is it aware of developments after September 2021; however, its training on basic use of indicators appears sound enough for successful predictions regarding asset prices such as Cardano’s price in 2023-24. On the other hand, AMBCrypto has developed an AI model that can take advantage of live data for more precise predictions on asset prices over time.
Intra-Day Strategies With ChatGPT
Using the help of ChatGPT in devising strategies for intra-day traders allows them to come up with endless combinations using TradingView indicators – all limited by one’s imagination and knowledge about these indicators alone! The only downside is that this tool cannot make reliable predictions based on data for asset prices like Cardano itself; however, its help in creating strategies still proves valuable in some scenarios where predicting movements over time is possible without making use of live data streams (such as predicting trends over months or years).