Cloud-Based Python Trading Bot for Alt Coins
Budget: $250 – $750 USD
I'm seeking a Python developer to create a trading bot for me that handles various alt coins valued at less than $1. This bot will be deployed on a cloud server.
Key Requirements:
- Proficient in Python with a solid understanding of cryptocurrency trading.
- Experience in creating and deploying trading bots.
- Familiarity with cloud server deployment.
- Knowledge of alt coins, particularly those valued under $1.
The goal of this project is to develop a reliable and efficient trading bot that can trade on various alt coins valued below $1. The ideal candidate will have a strong background in Python and cryptocurrency trading, with experience in deploying trading bots on a cloud server.
The app and code al is already 90% written built and deployed in azure as a virtual machine running
Azure Database for PostgreSQL on the back end I just need someone willing to analyze the existing code and work all the bugs out and it gets it operational in a paper environment before turning to live capital environment. I will hand you the login apikeys azure repository and everything to get it performing without errors. I will update the Apikeys and change the vm and back end azure PostgreSQL server it's running on once it can me made to run smoothly.
Price and trading data
News and sentiment
Social media content
Technical indicators
The project follows a modular architecture with clear separation of concerns:
data_collection: Interfaces with external APIs
database: Handles data storage and retrieval
sentiment_analysis: Processes text for sentiment
feature_engineering: Creates model inputs
modeling: Trains and manages predictive models
trading: Implements trading strategies
orchestration: Coordinates system components
dashboard: Provides visualization and monitoring and allows for changing trading risk parameters
The system can run continuously via scheduler components that coordinate various data collection, analysis, and trading actions at configurable intervals. The backfill scripts you're fixing are part of the data collection process, ensuring the system has sufficient historical data for training and analysis..
Like I stayed previously all of the various scripts, have been written and the virtual machine is up and running as well as the database with some of the backfill data already populated. I just need someone who can get the scripts to run independently and interdependently of each other and work out all the existing bugs and flaws. I am open to any additional suggestions as to way of improving the model such as adding other apis and news sources to be filtered for sentiment to train the AI on or making the sentiment filters more robust. Currently it is using Finbert to analyze the news and social media elements to assign sentiment indicators to train the bot to recognize patterns.
Let me know if you are a Python master and have a lot of experience coding and working on crypto bots that do the this type of thing.
Let me know the cost of reviewing my existing code base and and estimate to get the job working with out issue.
Thanks
Key Requirements:
- Proficient in Python with a solid understanding of cryptocurrency trading.
- Experience in creating and deploying trading bots.
- Familiarity with cloud server deployment.
- Knowledge of alt coins, particularly those valued under $1.
The goal of this project is to develop a reliable and efficient trading bot that can trade on various alt coins valued below $1. The ideal candidate will have a strong background in Python and cryptocurrency trading, with experience in deploying trading bots on a cloud server.
The app and code al is already 90% written built and deployed in azure as a virtual machine running
Azure Database for PostgreSQL on the back end I just need someone willing to analyze the existing code and work all the bugs out and it gets it operational in a paper environment before turning to live capital environment. I will hand you the login apikeys azure repository and everything to get it performing without errors. I will update the Apikeys and change the vm and back end azure PostgreSQL server it's running on once it can me made to run smoothly.
Price and trading data
News and sentiment
Social media content
Technical indicators
The project follows a modular architecture with clear separation of concerns:
data_collection: Interfaces with external APIs
database: Handles data storage and retrieval
sentiment_analysis: Processes text for sentiment
feature_engineering: Creates model inputs
modeling: Trains and manages predictive models
trading: Implements trading strategies
orchestration: Coordinates system components
dashboard: Provides visualization and monitoring and allows for changing trading risk parameters
The system can run continuously via scheduler components that coordinate various data collection, analysis, and trading actions at configurable intervals. The backfill scripts you're fixing are part of the data collection process, ensuring the system has sufficient historical data for training and analysis..
Like I stayed previously all of the various scripts, have been written and the virtual machine is up and running as well as the database with some of the backfill data already populated. I just need someone who can get the scripts to run independently and interdependently of each other and work out all the existing bugs and flaws. I am open to any additional suggestions as to way of improving the model such as adding other apis and news sources to be filtered for sentiment to train the AI on or making the sentiment filters more robust. Currently it is using Finbert to analyze the news and social media elements to assign sentiment indicators to train the bot to recognize patterns.
Let me know if you are a Python master and have a lot of experience coding and working on crypto bots that do the this type of thing.
Let me know the cost of reviewing my existing code base and and estimate to get the job working with out issue.
Thanks