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TrendMaster leverages advanced Transformer deep learning architecture to provide highly accurate stock price predictions, enabling informed investment decisions.
Utilizing a wealth of data and sophisticated algorithms, TrendMaster stands out as a top-tier tool for financial forecasting.
To get started with TrendMaster, run the following installation command:
pip install TrendMasterHere's how to integrate TrendMaster into your Python projects:
from trendmaster import TrendMaster
#Initialize the TrendMaster object
test_symbol = 'SBIN'
tm = TrendMaster(symbol_name_stk=test_symbol)
#Load your data
data = tm.load_data(symbol=test_symbol)
#Train the model
tm.train(test_symbol, transformer_params={'epochs': 1})
#Perform inference
predictions = tm.inferencer.predict_future(val_data=data,future_steps=100,symbol=test_symbol)
print(predictions)Our Transformer-based prediction model is trained on a large dataset of historical stock prices, giving it the ability to identify patterns and trends that would be impossible for a human to discern. The model's predictions are also highly accurate, with a mean average error of just a few percentage points.
In addition to stock price prediction, TrendMaster also offers a range of other features, such as real-time data visualization and a user-friendly interface. With TrendMaster, you'll have all the information you need to make smart investment decisions.
So why wait? Try TrendMaster today and see the difference for yourself!
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