A quantitative framework designed to transform market data into actionable research, trading tools, market intelligence and educational content.
Explore the FrameworkQuantitative research, market regime analysis, asset allocation, ETF research, options analytics, relative strength, volatility studies and AI applications.
Development of scanners, dashboards, reports and trading models using Python, Google Colab, TradeStation, EasyLanguage, TradingView and AI-assisted workflows.
Training and mentoring for traders, developers and professionals interested in systematic trading, portfolio construction, EasyLanguage and AI for trading.
Books, articles, research notes, white papers, market reports and educational content focused on algorithmic trading and quantitative market analysis.
A systematic view of financial markets based on market regimes, relative strength, volatility, breadth, portfolio signals and quantitative indicators.
Like a mosaic, every market signal is only meaningful when viewed as part of the whole.
TradingAlgo is open to partnerships with quant researchers, asset managers, hedge funds, educators, technology providers, software platforms and financial data companies.
The objective is to build practical tools, research frameworks and market intelligence solutions for systematic trading and portfolio management.
Quant developer, author and trading technology researcher. Author of TradeStation EasyLanguage for Algorithmic Trading, contributor to Stocks & Commodities magazine and member of the Gandalf Project R&D Team.