Deep Learning / Machine Learning / Neural Network to create equations to detect events. 74k rows in CSV file with sample data
Budget: $30 – $250 USD
I am looking for a skilled machine learning expert who can utilize deep learning techniques to create equations for event detection. The project involves working with a CSV file containing 74k rows of raw data with 750 sample data (manually selected moments when to make a decision - as a base for teaching algorithm). The file consist of 14 columns with raw data from candlesticks, indicators.
Your job is to provide at least 4 equations to detect specific events.
The data is from financial market (let's say stock market). The events are: go long, exit long, go short, exit short. Alternatively events may be extended into: stay long, stay short, do nothing.
In other words, the final equations I should get it, is to have multiple conditions when shall I expect entry and end f.e. A>B && B>C && D-A>E etc.
Desired Outcome:
- The main goal is to identify specific events accurately using the machine learning model.
Preferred Machine Learning Model:
- There is no specific preference for the machine learning model to be used. The freelancer can choose the most suitable approach.
Desired Level of Accuracy:
- The model should achieve a level of accuracy between 90-95%.
Skills and Experience:
- Strong expertise in deep learning and machine learning techniques
- Should have basic knowledge about financial market
- Proficiency in working with large datasets and CSV files
- Experience with training and evaluating models for event detection
- Familiarity with convolutional neural networks (CNN) and random forest algorithms would be beneficial but not necessary.
Your job is to provide at least 4 equations to detect specific events.
The data is from financial market (let's say stock market). The events are: go long, exit long, go short, exit short. Alternatively events may be extended into: stay long, stay short, do nothing.
In other words, the final equations I should get it, is to have multiple conditions when shall I expect entry and end f.e. A>B && B>C && D-A>E etc.
Desired Outcome:
- The main goal is to identify specific events accurately using the machine learning model.
Preferred Machine Learning Model:
- There is no specific preference for the machine learning model to be used. The freelancer can choose the most suitable approach.
Desired Level of Accuracy:
- The model should achieve a level of accuracy between 90-95%.
Skills and Experience:
- Strong expertise in deep learning and machine learning techniques
- Should have basic knowledge about financial market
- Proficiency in working with large datasets and CSV files
- Experience with training and evaluating models for event detection
- Familiarity with convolutional neural networks (CNN) and random forest algorithms would be beneficial but not necessary.