A focused archive of Domenico D'Errico's published work on systematic trading, technical analysis, AI, volume studies and portfolio strategy.
A practical guide to systematic strategy design, EasyLanguage development, backtesting, risk management and machine-learning extensions.
The book connects trading ideas, validation workflow and algorithmic implementation for traders who want to move from discretionary analysis to repeatable systems.
Published articles covering technical indicators, volume analysis, market cycles, pair trading, AI, machine learning and portfolio management.
Can AI agents reproduce a published trading strategy? This research note follows an EasyClaw experiment that starts from a Stocks & Commodities article and moves toward code, validation and reporting.
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Large language models can generate answers, analysis and code. But accountability still belongs to humans: LLMs produce outputs, while people decide whether those outputs deserve trust.
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Weekly update - Last processing: July 10, 2026.
The latest TradingAlgo Mosaic update reviews USA100, Nasdaq100, Europe50, Germany40, Italy40, UK100 and Australia50 through current tickers, weekly rotations, hedge levels and portfolio performance versus benchmark.
A compact dashboard highlights stronger benchmark behavior in the US and Australia, while Mosaic selections show selective rotations and weaker relative performance across several markets.
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Weekly update - Last processing: July 3, 2026.
The latest TradingAlgo Mosaic update reviews USA100, Nasdaq100, Europe50, Germany40, Italy40 and UK100 through current tickers, weekly rotations, hedge levels and portfolio performance versus benchmark.
A compact dashboard highlights Germany40 as the strongest portfolio, Europe as the firmer region overall, and Nasdaq100 as the main area of weekly underperformance.
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Weekly update - Last processing: June 26, 2026.
The historical TradingAlgo Mosaic snapshot is normalized to the current seven-market article format: USA100, Nasdaq100, Europe50, Germany40, Italy40, UK100 and Australia50.
A compact dashboard highlights Germany40 as the only positive Mosaic portfolio in a broadly defensive week, while UK100 and Italy40 show weaker benchmark-relative behavior.
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Domenico's new article, published in the July 2026 issue of Technical Analysis of Stocks & Commodities.
Financial markets are becoming increasingly data-driven, making traditional chart interpretation alone insufficient to sustain a competitive edge. At the same time, artificial intelligence is changing how traders interact with financial data, enabling ideas to be translated into analytical tools through natural language prompting.
The article argues that the real value of AI lies not in replacing quantitative research, but in accelerating the transformation of intuitive trading concepts into structured, measurable, and testable workflows. By combining large language models with Python, traders can define precise rules, automate data analysis, and validate investment hypotheses in a reproducible manner.
The article illustrates this approach through the development of a relative strength screening tool, showing how prompting, programming, and systematic validation can work together to create a modern research process.
To access the free notebooks and receive a 30% discount on a TradingAlgo Mosaic subscription reserved for S&C readers, write to: domderrico@gmail.com. The promotion is valid until July 4th.
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How selective concentration, diversification checks and benchmark-relative measurement can turn five stocks into a disciplined portfolio.
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Applying technical analysis to portfolio-level regime awareness, ranking and risk management.
A data-driven workflow for evaluating when technical indicators add useful market information.
How AI can support technical trading research, interpretation and model-assisted strategy development.
Using AI in the trading-system development process from hypotheses to testing and optimization.
A volume-informed portfolio approach for ranking securities and guiding allocation decisions.
Transforming multiple technical indicators into a comparable, systematic rating framework.
Measuring recurring market cycles and translating monthly patterns into timing rules.
Studying overnight volume and its information value for next-session trading expectations.
Filtering price movement into cleaner swing structures for analysis and trading decisions.
A comparative strategy study showing how performance evaluation clarifies trading ideas.
A variation on pair trading based on relative behavior, spread logic and market-neutral thinking.
Sector-level volume analysis for reading market participation, rotation and institutional pressure.
Connecting price levels, trading activity and supply-demand behavior on SPY.