B-TIER technique
HFT short-term reversal — buy weekly losers, sell winners across 4,500 stocks
100k ft — What is this?
HFT short-term reversal — buy weekly losers, sell winners across 4,500 stocks
50k ft — Why care?
A 60 Minutes clip with Manoj Narang describing a cross-sectional mean-reversion test: buy $5 of stocks down 5% last week, sell $10 of stocks up 10%, across the whole ~4,500-stock universe at once. Near 50% win rate per trade but no losing month thanks to breadth and speed, with Joe Saluzzi arguing it rigs the game.
10k ft — Key takeaways
• Edge comes from breadth: tiny edges over thousands of names, not stock picking
• Position size proportional to the move is a simple reversal weighting
• Win rate near 50% can still compound if exposure is diversified and cheap to execute
5k ft — Tools & techniques
(no tools tagged)
algorithmic trading, arbitrage, high-frequency trading, short-term reversal, statistical arbitrage
1k ft — Deep-dive / try it
What if you had a trading strategy that never lost a month? 💸🤔
In this classic 60 Minutes clip, we get a rare look at the world of high-frequency trading (HFT) and the simple—yet devastatingly effective—math behind it. The trader explains a basic rule: If a stock drops 5%, buy $5. If it rises 10%, sell $10. Apply this to 4,500 stocks simultaneously using a high-speed computer, and you have a money-making machine that has literally never had a losing month.
📊 The Math of Abundance
This strategy isn't about picking the next Apple or Tesla. It’s about statistical arbitrage. By spreading small bets across thousands of stocks at lightning speed, HFT firms turn the market into a casino where they are the house.
Volume is King: 4,500 stocks at once means the "law of large numbers" works in the…
Transcript excerpt
I'm going to test a strategy where if a stock went down 5% for the past week, I'm going to buy $5 of that stock. And if a different stock went up 10% last week, I'm going to sell $10 of that stock. And I'm going to do that for every stock that's in my tradable universe simultaneously. Which is how many? There's over 4,000 stocks, about 4,500 stocks. The strategy, which could only be successfully executed with a high-speed computer, would result in almost as many losing trades as winners, but over the past eight years would have produced a tidy profit, something that Narang and other high-frequency traders have gotten used to. And how successful have you been? We've had two or three days in a row where we lose money, but we've never had a week so far where we lost. We've never had a month that was a loser for us. And institutional traders like Joe Saluzzi of Themis Trading LLC have come to believe that the game is r-