Trading Systems Developer

StocksToTrade, Inc.•Austin, TX

About The Position

StocksToTrade / Millionaire Publishing is seeking a Trading Systems Developer to research, design, and build custom trading indicators and tools. This role involves leveraging technical analysis, AI, and machine learning to enhance trading strategies and provide a competitive edge to the StocksToTrade community. The developer will be responsible for indicator research and development, backtesting and validation, AI and tooling integration, and collaboration with product and education teams. This is a contract position.

Requirements

Demonstrated experience building and backtesting custom trading indicators in TradingView (Pine Script proficiency required).
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.

Nice To Haves

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.

Responsibilities

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.
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.
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.
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.