I am excited about the opportunity to develop a real-time stock price prediction model for Sors Markets. My expertise in machine learning, particularly time series forecasting, makes me well-suited for this task.
Proposed Approach:
Data Preprocessing: I will meticulously clean and preprocess the provided price and signal data to ensure optimal model performance.
Feature Engineering: I will extract relevant features from the data, such as technical indicators, statistical features, and signal-based features.
Model Selection: I will experiment with various machine learning models, including Gradient Boosting and LSTM, to identify the most suitable approach.
Model Training: I will train the selected model on the historical data, optimizing hyperparameters to achieve maximum accuracy.
Real-time Prediction: I will deploy the trained model to make real-time predictions based on the latest price and signal data.
Performance Evaluation.
My Qualifications:
Strong background in machine learning and data science
Expertise in time series analysis and forecasting
Proficiency in Python and relevant libraries (e.g., TensorFlow, PyTorch, Scikit-learn)
Experience in developing and deploying machine learning models
Excellent problem-solving and analytical skills
Please feel free to contact me to discuss this project further and receive a detailed proposal, including a timeline and cost estimate.