OPTIONS TRADING BOT needs hardening and threading for senior engineer must have ability to get schwab api account

I# Senior Python Execution Engineer / Trading Systems Developer

## Project: HYPERION DEUS EX MACHINA ORB Trading Platform

### Contract Position

Remote | Project-Based | Potential Long-Term Engagement

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# Project Overview

We are seeking an experienced Python execution engineer and trading systems developer to complete and productionize an advanced stock-trading platform known as:

## HYPERION DEUS EX MACHINA

The system currently contains substantial infrastructure, including:

* ORB (Opening Range Breakout) execution framework
* Multi-factor stock discovery engine
* Institutional-grade scoring framework
* Risk management engine
* GUI framework
* Paper trading environment
* Schwab API approval and OAuth infrastructure
* Testing framework
* Modular architecture

The objective is to move the platform from advanced prototype status into a production-ready system suitable for funded trader evaluations and systematic discretionary trading.

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# Project Goals

Complete and productionize:

### ORB Execution Engine

* Opening Range Breakout logic
* Multi-timeframe confirmation
* VWAP integration
* Relative strength calculations
* Premarket analysis
* Retest-and-reclaim entries
* Position sizing engine
* Trade lifecycle management

### Discovery Engine

* Stock scoring system
* ORB scoring system
* Candidate ranking
* Watchlist generation
* Institutional-quality screening

### Broker Integration

Primary broker:

* Charles Schwab API

Additional API integrations (up to five simultaneous connections):

Examples include:

* Financial Modeling Prep (FMP)
* Polygon.io / Massive
* Finviz
* Unusual Whales
* Tradier
* Alpaca
* Benzinga
* SpotGamma
* Custom APIs

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# Development Environment

Developer will receive:

* Existing codebase
* Repository access
* Architecture documentation
* Access to OpenAI Codex
* Potential access to Claude Code
* Existing GUI assets
* Existing testing assets

We expect the engineer to leverage modern AI-assisted development workflows to accelerate delivery while maintaining code quality and production standards.

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# Required Technical Skills

## Mandatory

### Python

Minimum 5+ years experience

Strong knowledge of:

* AsyncIO
* Multiprocessing
* Threading
* Event-driven systems
* Data pipelines
* API integration
* Logging
* Testing

### Trading Systems

Experience with:

* Equities
* Options
* Order routing
* Position management
* Broker APIs
* Market data feeds

### GUI Development

Experience with one or more:

* PyQt6
* Streamlit
* React + FastAPI
* Dash

### Data Engineering

Experience handling:

* Real-time feeds
* Market data normalization
* Websocket streams
* Rate limits
* Caching

### Software Engineering

* Git
* CI/CD
* Unit testing
* Integration testing
* Production deployment

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# Highly Preferred

Experience with:

* Schwab API
* TD Ameritrade API
* Alpaca
* Polygon
* FMP
* Interactive Brokers
* Unusual Whales
* Quantitative trading systems

Knowledge of:

* VWAP
* ORB
* Relative Volume
* Float Turnover
* Gamma Exposure (GEX)
* Vanna
* Charm
* Dark Pools
* Auction Market Theory
* Market Profile
* Volume Profile

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# Desired Engineering Traits

We are looking for someone who:

* Thinks like an owner
* Can challenge assumptions
* Builds maintainable systems
* Understands execution risk
* Understands trading risk
* Documents work clearly
* Can move quickly without sacrificing quality

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# Expected Deliverables

### Phase 1

Productionize current architecture

### Phase 2

Complete broker integration

### Phase 3

Complete API integration layer

### Phase 4

Implement institutional overlays

### Phase 5

Validate execution paths

### Phase 6

Production readiness certification

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# Application Questionnaire

Please answer all questions.

## Trading Systems Experience

1. How many years have you worked on trading-related software?

2. Have you built live trading systems before?

3. Which broker APIs have you integrated?

4. Have you worked with Schwab APIs?

5. Have you worked with options order flows?

6. Have you built position-management systems?

7. Have you implemented trade reconciliation systems?

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## Python Engineering

8. Rate your Python proficiency from 1–10.

9. Describe the largest Python application you have built.

10. Describe your experience with AsyncIO.

11. Describe your experience with multiprocessing.

12. Describe your experience handling websocket feeds.

13. Have you built event-driven architectures?

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## API Integration

14. Which market-data APIs have you integrated?

15. Have you worked with:

* Polygon
* FMP
* Alpaca
* Tradier
* Unusual Whales
* Other market data providers

16. Describe the most complex API integration you have completed.

17. How do you handle rate limits and failover?

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## GUI Development

18. Which GUI frameworks have you used?

19. PyQt6 experience level?

20. Streamlit experience level?

21. React experience level?

22. Provide screenshots or examples of interfaces you have built.

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## Production Engineering

23. How do you handle:

* logging
* monitoring
* alerts
* crash recovery

24. Describe your deployment workflow.

25. Have you built automated testing pipelines?

26. What percentage test coverage do you typically target?

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## AI-Assisted Development

27. Have you used:

* OpenAI Codex
* Claude Code
* Cursor
* Windsurf
* GitHub Copilot

28. How do you integrate AI tools into your workflow?

29. Give an example where AI materially accelerated development.

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## Architecture Assessment

30. Based on the project description, what do you believe are the three highest-risk areas?

31. What would be your first two weeks of work?

32. What improvements would you make beyond the current scope?

33. How long do you estimate to bring this system to production readiness?

34. What information would you need before providing a final estimate?

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# Proposal Submission

Please include:

* Resume
* GitHub profile
* Relevant trading-system experience
* Examples of production applications
* Estimated timeline
* Estimated cost
* Availability

We are specifically seeking engineers who can combine strong software engineering discipline with trading-system execution experience. you will also have access to open ai codex .