Key Responsibilities
Indicator Research & Development
• Research and evaluate new technical indicator concepts based on price action, volume, momentum, and
market structure
• Design and build custom buy/sell signal indicators, screener alerts, and strategy scripts primarily in Pine
Script on TradingView
• Leverage AI and machine learning tools to identify patterns, optimize signal logic, and enhance indicator
accuracy
• Collaborate with traders and analysts to translate market intuition and trading methodologies into coded,
testable indicators
Backtesting & Validation
• Develop and execute rigorous backtesting frameworks to evaluate indicator performance across various
asset classes, timeframes, and market conditions
• Analyze backtest results, identify overfitting risks, and iterate on logic to improve real-world reliability
• Document performance metrics including win rate, risk/reward, drawdown, and edge statistics for internal
review
AI & Tooling Integration
• Apply AI-powered tools and large language model (LLM) workflows to accelerate indicator research, code
generation, and hypothesis testing
• Stay current on AI advancements relevant to quantitative trading and propose integrations that give
StocksToTrade's community a competitive edge
• Evaluate third-party data feeds, APIs, and tools that can enhance signal quality or expand research
capabilities
Collaboration & Documentation
• Work with the product and education teams to translate technical indicator logic into content and tools
accessible to retail traders
• Maintain clear documentation of indicator specifications, version history, and testing results
• Participate in regular reviews to align indicator development with community needs and platform roadmap
Qualifications
• Demonstrated experience building and backtesting custom trading indicators in TradingView
• Strong background in technical analysis and active trading — you understand what makes a signal
actionable, not just statistically valid
• Hands-on experience with AI tools (ChatGPT, Claude, Copilot, or similar) applied to research, code
generation, or market analysis
• Proficiency in at least one additional language relevant to quantitative trading (Python strongly preferred)
• Deep understanding of backtesting methodology, including walk-forward testing, parameter sensitivity, and
avoiding look-ahead bias
• Ability to work independently, manage your own timeline, and deliver on a contract basis
Preferred
• Experience trading equities, options, or futures — particularly in short-term or active strategies
• Familiarity with StocksToTrade, Millionaire Publishing products, or the retail trader education space
• Background in machine learning or statistical modeling applied to financial time series
• Experience with data APIs (Polygon, Alpaca, Quandl, or similar) for extended historical data and backtesting
• Contributions to open-source trading tools, TradingView public scripts, or trading communities
Equal Employment Opportunity Statement
StocksToTrade / Millionaire Publishing is an Equal Opportunity Employer. All qualified applicants will receive consideration for engagement
without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age, disability,
genetic information, veteran status, or any other characteristic protected by applicable federal, state, or local law. We are committed to
building a diverse and inclusive environment and strongly encourage candidates from all backgrounds to apply. If you require a reasonable
accommodation to participate in the application or interview process, please notify us and we will work with you to meet your needs. This
position is open to all qualified individuals regardless of protected class status.