Process:
Step 1: Copy this code snippet and paste it to any online/desktop #IDE , #MetaAI or #ChatGPT .
Code Snippet:
import pandas as pd
from sklearn.ensemble import RandomForestRegressor
from sklearn.model_selection import train_test_split
from sklearn.metrics import mean_absolute_error
# Load the CSV file
file_path = 'path_to_your_file.csv' # Replace with your file path
column_names = [
'timestamp_start', 'open', 'high', 'low', 'close', 'volume',
'timestamp_end', 'unknown1', 'unknown2', 'unknown3', 'unknown4', 'unknown5', 'unknown6'
]
# Load the CSV file with correct column names
notcoin_data = pd.read_csv(file_path, names=column_names, skiprows=1)
# Convert the timestamp to a readable date format
notcoin_data['timestamp_start'] = pd.to_datetime(notcoin_data['timestamp_start'], unit='ms')
notcoin_data['timestamp_end'] = pd.to_datetime(notcoin_data['timestamp_end'], unit='ms')
# Prepare the features and target variable
notcoin_data['next_close'] = notcoin_data['close'].shift(-1)
features = notcoin_data[['open', 'high', 'low', 'close', 'volume']].iloc[:-1]
target = notcoin_data['next_close'].iloc[:-1]
# Split the data into training and testing sets
X_train, X_test, y_train, y_test = train_test_split(features, target, test_size=0.2, random_state=42)
# Train the Random Forest model
model = RandomForestRegressor(n_estimators=100, random_state=42)
model.fit(X_train, y_train)
# Evaluate the model
predictions = model.predict(X_test)
mae = mean_absolute_error(y_test, predictions)
print(f"Mean Absolute Error: {mae}").
Step 2: Download CSV file(.csv) from #Binance for the cryptocurrency you want to predict the next closing price.
After downloading .csv file for the desired crypto, upload this file to MetaAI/ChatGPT or set location/path for IDE to access and use .csv file.
Step 3: After setting up code snippet and .csv file, simply run program body to fetch the next closing price.
Disclaimer:
Prediction results depends upon the provided .csv file data.
Prediction might have some difference of 0.001, between the prediction price and actual price.
Always conduct research and be aware of crypto volatility.
This post is completely unbiased and doesn't guaranteed any prediction outputs made by the program.
Beware of potential hazards of cryptocurrencies before taking any investment decision.
Stay Tuned!
Let me know in the comment section, If you want more relevant content.