Stop Hunting Magic Indicators.
Build a Column Library Instead.
Most traders obsess over entries. Very few obsess over the data that describes those entries. That second part is where the real edge lives.
That is the idea behind the “column library” Dave and I keep talking about: a reusable library of columns your backtester records at entry time. Price position, volatility, trend state, gap size, all normalized so you can compare across stocks and across time. Instead of rewriting logic for every system, you build one shared library you can plug into any strategy. Quant beats vibes.
A couple of big ideas from this episode:
Normalize or die.
Raw MACD values are useless across symbols. The MACDV variant fixes this by normalizing by ATR, so a reading on Apple actually means the same type of move as a reading on a one dollar junk stock. Same with gaps: ten percent on Apple is a front page event; ten percent on a one dollar stock might just be noise. Express it in ATR and suddenly it is comparable and testable.Turn trader hunches into columns.
Any time you say “this one feels different” you are really describing a missing column. Position in yesterday’s range, distance from the fifty day moving average in ATR, R distance to your stop, profit at noon versus the close — all of those can be turned into columns and tested instead of debated.Columns create second and third strategies.
The first pass through the cruncher usually shows you how to lop off the worst twenty percent of trades. The second pass is where it gets fun: you take the newly discovered predictive column and design a fresh strategy that starts from that condition and fans out into more trades with better expectancy.
Action plan this week:
Pick one existing strategy.
Add three new columns: gap in ATR, position in yesterday’s range, and one “hunch” column you have always talked about but never tested.
Rerun the data and see which actually move the needle.
If you want the tools, systems, and community to do this without guessing, come hang out with us at www.statsedgetrading.com for the free courses, weekly market breakdowns, and full access to StatsEdge Pro.