Python Automation Developer for Trading Signals
Budżet: $10000.0
FIXED /
⭐ 4.42 (7)
United States
python, machine-learning, postgresql-programming, django-framework
I need a Python developer to build a real-time trading signal detector that runs on a Chromebook through the Linux development environment.
The system must open Chromium using Playwright, read the visible market price using OpenCV and OCR/Tesseract, and record price data every 0.2–0.5 seconds.
The detector will identify signals based on a custom strategy using:
* Price movement over the previous 90 seconds
* A short pullback during the final 5 seconds
* Exact 30-second candle timing
* HIGHER, LOWER, or NO TRADE alerts
The first version must only generate signals. It must not automatically execute real-money trades.
**Required features**
* Compatible with Chromebook and ChromeOS Linux
* Python-based application
* Chromium browser controlled through Playwright
* Real-time price extraction using OpenCV and Tesseract OCR
* Adjustable screen coordinates and OCR calibration
* HIGHER and LOWER visual and sound alerts
* CSV logging of prices, signals, timestamps, entry prices, expiration prices, and results
* Automatic calculation of win rate and performance statistics
* Demo-account testing
* Emergency stop function
* Simple user interface or clear terminal controls
* Reliable operation for at least two continuous hours
**Required experience**
* Python
* Playwright or Selenium
* OpenCV
* Tesseract OCR
* Linux
* ChromeOS or Chromebook development
* Real-time screen or browser automation
* Data logging and strategy backtesting
**Deliverables**
* Complete source code
* Installation and setup on my Chromebook
* Written setup instructions
* Explanation of how to change the strategy parameters
* Remote installation assistance
* Testing and debugging
* Full ownership of the code
* No hidden subscriptions or external dependencies requiring ongoing payment
**Suggested project milestones**
1. Correct real-time price reading
2. Reliable 30-second candle synchronization
3. Strategy signal detection
4. Alerts and CSV data logging
5. Automatic result tracking
6. Two-hour continuous demo test
7. Final Chromebook installation and documentation
Please include examples of similar Python, OCR, Playwright, or browser-automation projects you have completed. Do not apply unless you can provide the complete source code and install the finished system on a Chromebook.
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