Core concepts behind indicators, research methods, and multi-agent workflow design.
10 glossary entries in the English section
A practical introduction to AI stock analysis, including what it can help with, where it fits in research workflows, and why structure matters more than hype.
A practical explanation of Bollinger Bands, including how they reflect volatility, price range behavior, and contextual signal interpretation.
A plain-English overview of fundamental analysis and how it helps frame company quality, valuation, and business strength in research workflows.
Learn what MACD means in trading, how it is read, and why it is often used as a momentum and trend confirmation indicator.
A high-level explanation of multi-agent trading workflows and why multiple specialized agents can be useful in AI-driven research systems.
A concise introduction to quantitative trading and how rule-based, data-driven workflows differ from discretionary or purely narrative decision making.
A practical explanation of risk management in trading and research workflows, including why it matters even when signals look strong.
Understand RSI, how it measures momentum strength, and why traders use it for overbought, oversold, and trend context.
Understand sentiment analysis in market research and how it can help capture mood, narrative pressure, and crowd behavior around an asset.
Learn what technical analysis means, what kinds of signals it relies on, and how it fits into a broader multi-agent research workflow.
Read how the agents fit together before diving deeper into individual signals.
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