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Home » Recent » Page 4

Connors Research Traders Journal (Volume 49): When Markets Panic Investors Herd Into Treasury Bonds

August 9, 2019 by Larry Connors and Chris Cain, CMT

Here Is The Number One Reason Why You Should Always Have A Portion Of Your Portfolio In Treasuries! One of the core themes of our new book, The Alpha Formula – High Powered Strategies to Beat the Market with Less Risk, is to build an investment portfolio by attacking First Principles or objective, self-evident truths. …    [Read More] 

Filed Under: Connors Research Traders Journal, Recent Tagged With: python

Connors Research Traders Journal (Volume 48): 7 Steps to Building a Superior Portfolio

August 5, 2019 by Larry Connors and Chris Cain, CMT

In our new book: The Alpha Formula: High Powered Strategies to Beat the Market with Less Risk, we go beyond just investigating trading strategies/signals and comment on some best practices in building investment portfolios.  Portfolio construction is a very important topic, often overlooked by new systematic traders, and can lead to large improvements in the…    [Read More] 

Filed Under: Connors Research Traders Journal, Recent

Connors Research Traders Journal (Volume 46): Improving Your Trading With Risk Management

July 31, 2019 by Larry Connors

In this issue of the Connors Research Trader’s Journal, I’d like to share an interview with you that will make you even stronger when it comes to risk management. In 1996, Peter Bernstein wrote a book that would forever change the way many of us viewed risk, especially as it pertained to the markets. Titled…    [Read More] 

Filed Under: Connors Research Traders Journal, Recent

Connors Research Traders Journal (Volume 45): How Python Made Me A Better Trader (And Can Do The Same For You)

July 26, 2019 by Larry Connors and Chris Cain, CMT

Our new book The Alpha Formula; High Powered Strategies to Beat the Market with Less Risk is now available at https://tradingmarkets.com/alphaformula How Python Made Me A Better Trader (And Can Do The Same For You) The one thing we all have in common is every one of us is looking to improve our trading and…    [Read More] 

Filed Under: Connors Research Traders Journal, Recent Tagged With: python

Connors Research Traders Journal (Volume 44): Making Money From Behavioral Missteps Made By Others, Part 1 – “Recency Bias”

July 19, 2019 by Larry Connors and Chris Cain, CMT

New! Our new book, The Alpha Formula; Beat The Market With Significantly Less Risk is now available at www.TradingMarkets.com/alphaformula. The four most expensive words in the English language are ‘this time it’s different.” – John Templeton Recency bias is the tendency for people to more prominently recall and emphasize recent events and observations compared to…    [Read More] 

Filed Under: Connors Research Traders Journal, Recent

New Book From Larry Connors and Chris Cain, CMT – “The Alpha Formula; High Powered Strategies to Beat The Market With Less Risk “

July 10, 2019 by Larry Connors and Chris Cain, CMT

We’re excited to announce the release of a new investment book written by Larry Connors and  Chris Cain, CMT.     The book, “The Alpha Formula; High Powered Strategies to Beat The Market With Less Risk “ combines…      Hedge fund legend Ray Dalio’s brilliant insight into combining uncorrelated strategies…  With new, minimally correlated, quantified, systematic strategies to trade…    [Read More] 

Filed Under: Recent

Connors Research Traders Journal (Volume 43): Relative Momentum with Low Vol

June 28, 2019 by Larry Connors and Chris Cain, CMT

In this Connors Research Traders Journal, we are going to explore a strategy that combines momentum and low volatility along with a risk management/trend following overlay. This combination results in an impressive performance over the last 16 years, handily beating the S&P 500, especially when viewed from a risk-adjusted return basis. The Momentum and Low…    [Read More] 

Filed Under: Connors Research Traders Journal, Recent

Connors Research Traders Journal (Volume 42): Optimize Your Trading By Understanding Volatility Regimes

May 30, 2019 by Larry Connors and Chris Cain, CMT

The following is an excerpt from research presented in our upcoming book “The Alpha Formula” which will be released this summer. Knowing what kind of market you are in is an important step in developing a trading strategy.   Ideally, you want your strategy to be optimized for the current market – some strategies do…    [Read More] 

Filed Under: Connors Research Traders Journal, Recent Tagged With: python

Connors Research Traders Journal (Volume 41): Introducing Connors Research Weekly Mean Reversion

April 22, 2019 by Larry Connors and Chris Cain, CMT

Connor’s Research is perhaps best known for short-term mean reversion strategies, specifically using RSI with short look-back periods to identify times when a security is likely to mean revert.  Connors Research were pioneers nearly 20 years ago in showing that shorter-term RSI lookbacks, such as 2-period and 4-period RSIs, are statistically more predictive for identifying…    [Read More] 

Filed Under: Connors Research Traders Journal, Recent Tagged With: python

Connors Research Traders Journal (Volume 40): Using the Power of Python to Build and Test a High Performing Relative Momentum Stock Strategy

April 16, 2019 by Larry Connors and Chris Cain, CMT

In this Connors Research Traders Journal, we are going to show you how Python and Quantopian can take your trading and strategy testing abilities to the next level. We’ll share with you a strong performing, relative momentum strategy which trades individual US equities, dynamically choosing the strongest stocks from a 500 stock universe. This simple to…    [Read More] 

Filed Under: Connors Research, Connors Research Newsletter, Connors Research Traders Journal, Python, Recent, SPY Tagged With: python, Trading Lessons, Trading Strategies

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Beginner's Guide to Python

new Book By Larry Connors and Chris Cain, CMT

The Alpha Formula

Buy The Fear, Sell The Greed

Buy The Fear, Sell The Greed

Programming in Python For Traders

Programming in Python For Traders

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