The development of a CRYPTO gaming system https://www.cryptogeemu.com/ has been ongoing for around two years. What does it actually do? Well… just for fun!
The system captures data from several major crypto market sites to fetch the latest price list every minute. It then calculates the average values to determine the price. Users can create a new account and are given a default balance of $10,000 USD to buy and sell crypto—but there’s no actual real-market trading.
The Thought Process
Suddenly, I started wondering:
How can I use this kind of historical data? Can I make a prediction?
So, I simply asked ChatGPT about my idea. I shared the data structure and inquired about how to perform predictions.
ChatGPT first suggested using Linear Regression for calculations. However, the predicted values had a large difference compared to the next actual data point.
Next, it introduced me to the Long Short-Term Memory (LSTM) method for training under the TensorFlow library.
I fed 514,709 lines of BTC price data into the training program on a Raspberry Pi 4B (4GB RAM).
The first run took 7 hours to complete the model !!!!!!!!!!!!!!!!!
But the result… um… 😐
I’m currently running the second round of training. I’ll update you all soon!
Sample Data:
YYYY/MM/DD-hh:mm:ss Price
2025/02/17-20:06:09 95567.20707189501
2025/02/17-20:07:07 95582.896334665
P.S.: I’m not great at math. 😅
#BTC #Bitcoin #TensorFlow #AI #CryptoGeemu #RaspberryPi #Training #Crypto #ChatGPT #LinearRegression #LSTM #LongShortTermMemory