A trading bot in Quantower with AI included to learn from experience
Budget: $250 – $750 USD
I am seeking a skilled Freelancer to develop a trading bot that includes AI (LSTM) to learn from experience for a project. The bot will be used on Quantower and I will provide the specific trading strategies and indicators that should be incorporated. I have allocated a budget of $500-$1000 for this project. If your experience and expertise meets these specifications, please reach out to me to discuss further. Your proposed solution should help automate my trading with the added potential of the AI being able to learn from its experience over time in order to produce better results. Your suggested approaches and solutions to this challenge will be greatly appreciated.
Please provide examples of previous experience using Quantower trading platform and LSTM programming
Scope :
1. The data source platform is Quantower, broker is AMP, data from SP500 and Nasda100 using a free demo account
2. Extract historical candle data into a CSV excel file. Data should be current volume of each candle, the floating or market volume of each candle, account information, in 5 minutes, 1 minute, 30 seconds, 15 seconds.
3. Predicting a candle in a 5-minute window using a configurable Multivariable LSTM Neural Network.
4. Once data validation and criteria defined in the operation management tab are approved, it will manage market positions on the Quantower platform.
5. The final program will go into production on a local computer and a designated VPS
6. The management and administration of the operation will have configurable parameters
7. The project will be carried out in phases described in the execution plan tab
8. Generate a log of behavior and processes
9. Generate a log and graphical and numerical historical data of approved operations for statistical analysis
Please provide examples of previous experience using Quantower trading platform and LSTM programming
Scope :
1. The data source platform is Quantower, broker is AMP, data from SP500 and Nasda100 using a free demo account
2. Extract historical candle data into a CSV excel file. Data should be current volume of each candle, the floating or market volume of each candle, account information, in 5 minutes, 1 minute, 30 seconds, 15 seconds.
3. Predicting a candle in a 5-minute window using a configurable Multivariable LSTM Neural Network.
4. Once data validation and criteria defined in the operation management tab are approved, it will manage market positions on the Quantower platform.
5. The final program will go into production on a local computer and a designated VPS
6. The management and administration of the operation will have configurable parameters
7. The project will be carried out in phases described in the execution plan tab
8. Generate a log of behavior and processes
9. Generate a log and graphical and numerical historical data of approved operations for statistical analysis