How to Spot a False Breakout (Fakeout) and Backtest It
How to spot false breakouts (fakeouts): use close confirmation, retests, and backtesting to decide how much confirmation you need before entering.
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.
How to spot false breakouts (fakeouts): use close confirmation, retests, and backtesting to decide how much confirmation you need before entering.
Dow Theory reads trend from price structure — higher highs and higher lows. This guide covers swing points, spotting reversals, and backtesting your own trend-reading rules.
How you draw a trendline changes your bias. This guide covers wick vs. body, touch count, and defining a valid break, then how to backtest it yourself.
Most backtesting software assumes your strategy is a rule you can code. If your edge is reading the chart, no-code won't test it — here's the kind that will.
Every "best trading journal" list compares the same logging features. But logging trades you've already made can't fix the decision you'll make next. Here's the gap, and what closes it.
Looking for a TradingView alternative for backtesting? The answer usually isn't to replace it — it's to split roles. Here are the 5 things a backtesting tool needs, and how to decide.
Most "best chart replay" guides rank tools by features. But what makes a replay tool good is how many reps it lets you put in. Here's how to compare replay platforms by practice volume, not feature lists.
Your backtest worked, but you couldn't execute the same setup live. That gap isn't willpower — it's structural. Here are the 4 causes that break repeatability, and how to fix each one.
How to read double tops, triangles, and head and shoulders neutrally. Covers false breakouts, backtesting, and two sample rules you can test yourself.
How to draw support and resistance, judge a level's strength, and read role reversal. Includes backtesting and two sample strategy-rule templates.
Build rules for fading the top and bottom of a range, tell it apart from a breakout, and backtest the round trips on past charts. Includes two sample rules.
Turn a moving average's slope, crossovers, and bounces into rules, handle whipsaws and ranges, and backtest it on past charts. Includes two sample rules.
The same validation in this article can be reproduced with your own method. On past charts, do the classics really work?