Reblog: How To Use The Reward Risk Ratio Like A Professional


The reward to risk ratio (RRR, or reward:risk ratio) is maybe the most important metric in trading and a trader who understands the RRR can improve his chances of becoming profitable.

A trader who uses the RRR incorrectly will never become profitable on the other hand. In this article, I will show you what you need to know about the RRR.

Busting myths around the reward:risk ratio

Let’s first tackle some of the common misconceptions about the RRR to help you understand what most people get wrong before then diving into the specifics of the RRR.

Myth 1: The reward:risk ratio is useless

You often read that traders say the reward-risk ratio is useless which couldn’t be further from the truth. When you use the RRR in combination with other trading metrics (such as winrate), it quickly becomes one of the most powerful trading tools.

Without knowing the reward:risk ratio of a single trade, it is literally impossible to trade profitably and you’ll soon learn why.

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The Financial threats that machines can see


The original article appears on BloombergView and is available here. The author is Mark Buchanan.

Who's watching whom?

Humans have a terrible track record of predicting financial crises in time to fend them off. Some computer scientists think that algorithms might help.

Given the right information, some crises can be foreseen. In “The Big Short,” Michael Lewis told the story of the scattered few who saw the imbalance growing in the mortgage market and profited as a result. Over decades, academic research has shown that many banking crises come with early warning signals, such as rapidly increasing debt and leverage. Yet economists and policy makers routinely miss such danger signs, in part because the financial world is so complex.

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