Plain-English guides to technical indicators, settings, chart behavior, and practical trading rules for trend following and breakout strategies.
MarketSenseAI routes four LLM agents through a synthesis layer for stock scoring. Here is what its validation shows and what a skeptical trader should check.
The AEGIS framework gates momentum by volatility and diversifies by correlation to cut drawdowns in half. How to apply its three layers to trend-following.
DeepUnifiedMom unifies fast, medium, and slow momentum into one portfolio using multi-task deep learning. How it works, why it matters, and trader caveats.
How to add an LLM news-sentiment filter to a 12-month minus 1-month momentum screen. Practical workflow for swing traders using ChatGPT-style scoring.
Practical guide to time-of-day effects for swing traders. When intraday timing improves entries and exits, when it becomes curve-fit noise, and how to test.
Practical equity curve trading rules to pause, reduce, or resume a strategy based on its own performance. Drawdown and moving-average triggers explained.
Chaikin ATR replaces Wilder's smoothing with a standard EMA on True Range. How to use it for tighter swing stops, volatility regime detection, and cleaner reads
Monte Carlo equity curves simulate thousands of trade sequences to reveal drawdown ranges, risk of ruin, and position-size limits before you trade live.
How to calculate expectancy and R-multiples to measure whether your trading system has a real edge before you apply position sizing rules to real capital.
How Cover's universal portfolio algorithm sizes positions without assuming a known edge, adapting allocation as market evidence accumulates over time.