Python Developer for Trading Analysis Tool
Budget: $30 – $250 USD
I am looking for an experienced Python developer to build a trading analysis tool for synthetic indices (such as volatility indices). The tool will help analyze market data, test strategies, and provide a live dashboard for monitoring signals.Core Requirements
Data Collection
Connect to a trading platform API (example: Deriv or similar).
Collect and store historical price data.
Ability to update data automatically.
Market Analysis Engine
The tool should:
Analyze price movements.
Detect patterns or indicators.
Allow custom strategy rules.
Backtesting System
Test strategies using historical data.
Show results such as:
Win rate
Profit/loss
Drawdown
Number of trades
Live Analysis
Run the strategy on live data.
Generate signals or alerts when conditions are met.
Dashboard
A simple web dashboard where I can:
View charts
Monitor signals
See performance statistics
Control strategy settings
Suggested frameworks:
Python
Pandas / NumPy
Streamlit or Flask dashboard
Strategy Customization
The tool should allow modification of:
Indicators
Entry rules
Exit rules
Risk management settings
Documentation
Clear installation instructions
Code comments
Basic user guide
The goal is to create a system that can analyze historical data, run backtests, and display results in a simple dashboard.
Core Requirements
Data Collection
Connect to a trading platform API (example: Deriv or similar).
Collect and store historical price data.
Ability to update data automatically.
Market Analysis Engine
The tool should:
Analyze price movements.
Detect patterns or indicators.
Allow custom strategy rules.
Backtesting System
Test strategies using historical data.
Show results such as:
Win rate
Profit/loss
Drawdown
Number of trades
Live Analysis
Run the strategy on live data.
Generate signals or alerts when conditions are met.
Dashboard
A simple web dashboard where I can:
View charts
Monitor signals
See performance statistics
Control strategy settings
Suggested frameworks:
Python
Pandas / NumPy
Streamlit or Flask dashboard
Strategy Customization
The tool should allow modification of:
Indicators
Entry rules
Exit rules
Risk management settings
Documentation
Clear installation instructions
Code comments
Basic user guide
Data Collection
Connect to a trading platform API (example: Deriv or similar).
Collect and store historical price data.
Ability to update data automatically.
Market Analysis Engine
The tool should:
Analyze price movements.
Detect patterns or indicators.
Allow custom strategy rules.
Backtesting System
Test strategies using historical data.
Show results such as:
Win rate
Profit/loss
Drawdown
Number of trades
Live Analysis
Run the strategy on live data.
Generate signals or alerts when conditions are met.
Dashboard
A simple web dashboard where I can:
View charts
Monitor signals
See performance statistics
Control strategy settings
Suggested frameworks:
Python
Pandas / NumPy
Streamlit or Flask dashboard
Strategy Customization
The tool should allow modification of:
Indicators
Entry rules
Exit rules
Risk management settings
Documentation
Clear installation instructions
Code comments
Basic user guide
The goal is to create a system that can analyze historical data, run backtests, and display results in a simple dashboard.
Core Requirements
Data Collection
Connect to a trading platform API (example: Deriv or similar).
Collect and store historical price data.
Ability to update data automatically.
Market Analysis Engine
The tool should:
Analyze price movements.
Detect patterns or indicators.
Allow custom strategy rules.
Backtesting System
Test strategies using historical data.
Show results such as:
Win rate
Profit/loss
Drawdown
Number of trades
Live Analysis
Run the strategy on live data.
Generate signals or alerts when conditions are met.
Dashboard
A simple web dashboard where I can:
View charts
Monitor signals
See performance statistics
Control strategy settings
Suggested frameworks:
Python
Pandas / NumPy
Streamlit or Flask dashboard
Strategy Customization
The tool should allow modification of:
Indicators
Entry rules
Exit rules
Risk management settings
Documentation
Clear installation instructions
Code comments
Basic user guide
Related categories:
C Programming
Python
Software Architecture
Statistics
Web Development
Flask
NumPy
Data Analysis
API Development
Pandas