@O5355p I am glad see you think in terms of risk as an “R” multiple which is a concept I originally discovered reading some books written by Van Tharp. Are you using R multiples to determine position sizing in your trading as well?
For example, say you are defining risk as “R” and say you are willing to risk $100 per trade, therefore 1R = $100 and so your stop loss on a trade should be set at 1R.
How does this relate to position sizing? Say hypothetically (of course!) you have a strategy where you get out of a losing trade once price crosses below the 50 day moving average. You buy a stock valued at $20 per share and the 50 day MA is at $17.50 and if it breaks below the 50 MA you will take the loss and sell. Using this trading rule how much stock can you buy and keep your risk at 1R?
As per above you are willing to risk $2.50 per share and the total trade risk is 1R or $100. Thus $100/$2.50 = 40 shares you can purchase and remain within your risk parameter.
In another example, using the same trading rule, a stock is trading at $10 and the 50 MA is at $9.25 so your stop loss would be set at $9.25 per share for a potential $.75 loss per share. How much stock can you trade but only risk $100? $100/$.75 = 133.33 shares or 133 rounded down.
Furthermore, say you target 2R ($200) profit per trade on this hypothetical strategy and backtesting indicates you can achieve a win rate of 50% with each winner at your target of 2R ($200) and each loss is at 1R ($100). To further the example, let’s say this hypothetical strategy makes 100 trades with the 50% win rate as follows;
Wins: 50 trades x 2R = $10,000
Losses: 50 trades x -1R = -$5,000
Net Profit = $5,000
You could expect to average a gain of $50 per trade. Expectancy = $5,000 / 100 = $50 per trade or an expectancy of .5R per trade. A win rate of 33% would break even.
Van Tharp uses a System Quality Number (SQN) he developed to rate the performance of trading systems. An SQN of 1 to 2 is about average, an SQN below 1 probably should not be traded, and an excellent system would be 3 to 5. An SQN above 5 is getting into the zones from superb to “holy grail.”
The trading system described above with 50% winning trades has an SQN of 3.3166 and would be an excellent system to trade.
Lastly, I am surprised no one here is able to clearly state their definition for the term “money management.”
Here is a quote from Van Tharp’s Definitive Guide To Position Sizing: “Money Management – A term that has been frequently used to describe position sizing but that has so many other connotations that people fail to understand its full meaning or importance. For example, the term also refers to (1) managing other people’s money, (2) controlling risk, (3) managing one’s personal finances, and (4) achieving maximum gain.”