8 Core Trading Strategies Explained
A neutral rundown of eight core trading strategies—breakouts, buying dips, fading moves, and more. Each comes with what it keys on, a sample strategy-rule entry, and how to make it your own through backtesting.
Practice US equities, FX, commodities, and crypto on past charts. Examine your own habits with AI. ENTRIQ Lab is a hands-on log of that process.
A neutral rundown of eight core trading strategies—breakouts, buying dips, fading moves, and more. Each comes with what it keys on, a sample strategy-rule entry, and how to make it your own through backtesting.
Crashes hit live markets only once every few years, but on historical charts you can replay them endlessly. Using the 2008 and 2020 crashes, here's how to practice reading a sell-off with no capital at risk—and what two very different declines teach you.
ENTRIQ's AI Analysis puts observed patterns from your past trade data and notes into words—not predictions or signals. Learn how to review by trade and by strategy tag, moving between a single decision and the broader pattern of a setup.
Journals fail for three reasons: effort, manual tallying, and bias. Strategy tags group trades by setup, auto-calculate win rate and P&L, and let AI summarize past patterns—so review becomes a habit.
Five situations where TradingView's Bar Replay falls short once you backtest seriously — deep history, the forming bar, multi-symbol sync — and how to solve each.
A beginner-friendly guide to chart replay: replaying past charts one bar at a time to rehearse trading decisions in the market of the day — without real losses — plus how to keep the practice going.
The same validation in this article can be reproduced with your own method. On past charts, do the classics really work?