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Why I Coded 1,000 Indicators and Threw Them All Away



In my pursuit of market perfection, I became obsessed with algorithms. I didn't just use indicators; I built them. Over a span of years, I personally coded and backtested over 1,000 proprietary technical indicators. Mathematically, they were masterpieces. They outperformed standard tools like RSI, MACD, and Bollinger Bands by 100x in backtesting simulations. But when I deployed them in the live market, I noticed a fatal flaw. The Flaw: Algorithms assume the market is rational. It is not. The market is driven by two emotions: Fear (Retailers) and Greed (Whales). No mathematical formula can fully capture the desperation of a trapped trader. So, I stopped relying on the code I wrote and started analyzing why it failed. This led to the creation of The MJ Pipal Principles—a method that uses the failure of indicators to spot where Smart Money is actually hiding. I still have the source code for all 1,000 tools. But I use them now only to know what the "herd" is looking at, so I can do the opposite.

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