Risk:Reward & Win-Rate Cheatsheet

Risk:Reward & Win-Rate Cheatsheet

Low-code tools are going mainstream

Purus suspendisse a ornare non erat pellentesque arcu mi arcu eget tortor eu praesent curabitur porttitor ultrices sit sit amet purus urna enim eget. Habitant massa lectus tristique dictum lacus in bibendum. Velit ut viverra feugiat dui eu nisl sit massa viverra sed vitae nec sed. Nunc ornare consequat massa sagittis pellentesque tincidunt vel lacus integer risu.

  1. Vitae et erat tincidunt sed orci eget egestas facilisis amet ornare
  2. Sollicitudin integer  velit aliquet viverra urna orci semper velit dolor sit amet
  3. Vitae quis ut  luctus lobortis urna adipiscing bibendum
  4. Vitae quis ut  luctus lobortis urna adipiscing bibendum

Multilingual NLP will grow

Mauris posuere arcu lectus congue. Sed eget semper mollis felis ante. Congue risus vulputate nunc porttitor dignissim cursus viverra quis. Condimentum nisl ut sed diam lacus sed. Cursus hac massa amet cursus diam. Consequat sodales non nulla ac id bibendum eu justo condimentum. Arcu elementum non suscipit amet vitae. Consectetur penatibus diam enim eget arcu et ut a congue arcu.

Vitae quis ut  luctus lobortis urna adipiscing bibendum

Combining supervised and unsupervised machine learning methods

Vitae vitae sollicitudin diam sed. Aliquam tellus libero a velit quam ut suscipit. Vitae adipiscing amet faucibus nec in ut. Tortor nulla aliquam commodo sit ultricies a nunc ultrices consectetur. Nibh magna arcu blandit quisque. In lorem sit turpis interdum facilisi.

  • Dolor duis lorem enim eu turpis potenti nulla  laoreet volutpat semper sed.
  • Lorem a eget blandit ac neque amet amet non dapibus pulvinar.
  • Pellentesque non integer ac id imperdiet blandit sit bibendum.
  • Sit leo lorem elementum vitae faucibus quam feugiat hendrerit lectus.
Automating customer service: Tagging tickets and new era of chatbots

Vitae vitae sollicitudin diam sed. Aliquam tellus libero a velit quam ut suscipit. Vitae adipiscing amet faucibus nec in ut. Tortor nulla aliquam commodo sit ultricies a nunc ultrices consectetur. Nibh magna arcu blandit quisque. In lorem sit turpis interdum facilisi.

“Nisi consectetur velit bibendum a convallis arcu morbi lectus aecenas ultrices massa vel ut ultricies lectus elit arcu non id mattis libero amet mattis congue ipsum nibh odio in lacinia non”
Detecting fake news and cyber-bullying

Nunc ut facilisi volutpat neque est diam id sem erat aliquam elementum dolor tortor commodo et massa dictumst egestas tempor duis eget odio eu egestas nec amet suscipit posuere fames ded tortor ac ut fermentum odio ut amet urna posuere ligula volutpat cursus enim libero libero pretium faucibus nunc arcu mauris sed scelerisque cursus felis arcu sed aenean pharetra vitae suspendisse ac.

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. Basically, the reward risk ratio measures the distance from your entry to your stop loss and your take profit order and then compares the two distances. Traders who understand this connection can quickly see that you neither need an extremely high winrate nor a large reward:risk ratio to make money as a trader. As long as your reward:risk ratio and your historical winrate match, your trading will provide a positive expectancy.

🔷 Calculating the RRRLet’s say the distance between your entry and stop loss is 50 points and the distance between the entry and your take profit is 100 points . Then the reward risk ratio is 2:1 because 100/50 = 2.

Reward Risk Ratio Formula
RRR = (Take Profit – Entry ) / (Entry – Stop loss)

🔷 Minimum WinrateWhen you know the reward:risk ratio for your trade, you can easily calculate the minimum required winrate (see formula below). Why is this important? Because if you take trades that have a small RRR you will lose money over the long term, even if you think you find good trades.

Minimum Winrate Formula
Minimum Winrate = 1 / (1 + Reward:Risk)