To use the position size calculator, enter the currency pair you are trading, your account size, and the percentage of your account you wish to risk. Our position sizing calculator will suggest position sizes based on the information you provide.

Hi Rayner,

Nice post on position sizing and money management. In your experience, did you always start with a 1% risk exposure? I am currently figuring out whether it will be good to scale down my risk during bad streaks and scale up during good streaks. Also do you take equity off after every year or do you continue to trade with your ending account balance while maintaining the same % risk exposure? Thanks.


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Hello Rayner

From your explanation does it mean that there are two methods in calculating stop loss

1. That is through position sizing

2. And through locating where your initial trading idea is invalidated

This command simulates a basic order. Unlike most order placement commands, which contain internal logic to simplify interfacing withstrategies, strategy.order() uses the specifiedparameters without accounting for most additional strategy settings. Orders placed bystrategy.order() can open new positions and modifyor close existing ones.

All exit orders from strategy.exit()with a from_entry argument are bound to the id of a corresponding entry order; strategies cannot simulate exitorders when there is no open market position or active entry order associated with a from_entry ID.

This behavior is most useful when backtesting manual strategies in which traders exit positionsbefore a bar closes or in scenarios where algorithmic traders in non-24x7 markets set up after-hourstrading capability so that alerts sent after close still have hope of filling before the following day.

Scalping strategies. Scalping strategies that involve multiple trades in a short period of time may require a smaller position size to generate a significant profit in a short amount of time. In such cases, a mini lot can be a suitable option.

Testing strategies. Some traders may also use micro lots to test out different trading strategies. By using a small position size, they can see how their strategy performs in real market conditions without risking too much capital.

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GTM strategies provide the information companies need to effectively position themselves against competitors, create scalable inbound and outbound models, and leverage appropriate tactics to achieve their goals.

If your company is in the process of releasing a new game console and wants to position it as a high-end product, the average selling price of $500 for existing game consoles can be used to guide your pricing strategy.

Determining your positioning entails conducting a scan of macro and micro trends in your environment and industry, identifying marketing and competitive opportunities and threats, clarifying target customers and value propositions, gathering and reviewing staff and partner feedback for strengths and weaknesses, synthesizing the data into a SWOT, and solidifying your competitive advantages.

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The issue with Kelly is that it gives you the EV (expected value) not the median outcome. So, if you are going to use Kelly position sizing .5X Kelly is much closer to optimal as it gives you a very high percentage of the expected outcome, with far less variance in terrible outcomes. What Kelly really shows is that you need to create a portfolio of uncorrelated bets that have 0 or negative correlations to one another. Kelly shows that betting everything on equities or equities and bonds is an incorrect approach to optimizing outcomes. For investing Sharpe ratio is useful as it gives a more directly translatable use of something very similar to Kelly. For example, if you model out Monte Carlo simulations for a .5 Sharpe 50% target vol is optimal, at 1 Sharpe 100% target vol is optimal, at 2 Sharpe 200% target vol. Of course, similar to Kelly you would need to halve that to eliminate the wild negative outcomes.

Thank you for this article and for describing the modified version which is more applicable for position sizing use in the financial markets. One question I have is whether this formula could also be used in the context of dynamically setting when to exit a position in order to minimize losses and maximize gains. I have pretty static stop loss and profit take percentages set up for all my positions now and am wondering if this formula could be modified a bit to use this same probability calculation to generate a profits/loss percentage to determine when to exit a position. Has this type of application been done before? Thanks. be457b7860

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