Python Developer for Trading Analysis Tool

Job ID: 40289365

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