Quant researcher and Connors co-author
Cesar Alvarez
Cesar Alvarez is an American quantitative trader who worked as a software engineer on early versions of Microsoft Excel before serving as director of research/trading strategies at Connors Research and TradingMarkets.com from 2004 to 2013. He co-wrote Short Term Trading Strategies That Work (2008) with Larry Connors, writes the Alvarez Quant Trading blog and holds the CMT designation.
What they argue
- Simple mean-reversion rules can be robust: in their tests the Double 7s idea also held up as Double 5s through Double 10s.
- Trading ideas should be tested systematically on historical data before they are traded.
- Buying weakness within long-term uptrends and selling into strength is a repeatable edge in stocks and ETFs.
Sources
Summaries are Be The Puck's paraphrase of public material. Be The Puck has no affiliation with the people listed.
Books and papers
- Short Term Trading Strategies That Work (with Larry Connors) (2008)
- High Probability ETF Trading (with Larry Connors) (2009)
Connors RSI(2) pullback
Rule and full recordMean reversion · daily · with Larry Connors
Buy a sharp short-term dip, but only in a long-term uptrend, and sell the first bounce.
Best risk-adjusted results against buy and hold:
Connors & Alvarez Double 7s
Rule and full recordMean reversion · daily · with Larry Connors
Above the 200-day average, buy a close at a 7-day low and sell a close at a 7-day high.
Best risk-adjusted results against buy and hold:
ConnorsRSI (3, 2, 100) pullback strategy
Rule and full recordMean reversion · daily · with Larry Connors, Matt Radtke
Buy a stock in a strong trend after a sharp one-day sell-off pushes ConnorsRSI below 10, and sell when it recovers above 70.
Best risk-adjusted results against buy and hold:
Connors %b three-day oversold
Rule and full recordMean reversion · daily · with Larry Connors
In a long-term uptrend, buy after the close has sat near or below the bottom of its Bollinger Bands for three days running, and sell once it gets near the top.
Best risk-adjusted results against buy and hold: