Coder Social home page Coder Social logo

sharpe-ratio's Introduction

The Sharpe Ratio is a measure used to evaluate the performance of an investment compared to a risk-free asset, after adjusting for its risk. It is calculated by subtracting the risk-free rate from the return of the investment and dividing the result by the investment's standard deviation of returns. The formula is:

What It Needs:

  • Return of the Portfolio ( (R_p) ): This is the average return of the investment portfolio over a certain period.
  • Risk-Free Rate ( (R_f) ): This is the return of an investment with zero risk, typically the yield on government bonds.
  • Standard Deviation of the Portfolio's Returns ( (\sigma_p) ): This measures the volatility of the portfolio's returns, indicating the risk associated with the portfolio.

What It Can Provide to Algo Trading:

  1. Risk-Adjusted Performance: The Sharpe Ratio helps in assessing how much excess return is being received for the extra volatility that one bears for holding a riskier asset. This is crucial in algo trading for evaluating the performance of trading strategies on a risk-adjusted basis.

  2. Strategy Comparison: It allows traders to compare the performance of different trading algorithms or strategies by quantifying the risk-adjusted return. This can aid in selecting the most efficient strategy.

  3. Portfolio Optimization: By maximizing the Sharpe Ratio, algo traders can optimize their portfolios to achieve the best possible return for a given level of risk, or the lowest risk for a given level of expected return.

  4. Performance Monitoring: Algo traders can continuously monitor the Sharpe Ratio of their strategies to ensure they are maintaining an optimal level of risk-adjusted performance, making adjustments as necessary.

Overall, the Sharpe Ratio is a fundamental metric in algorithmic trading, enabling traders to quantify and manage the risk-return trade-off of their trading strategies effectively.

Sharpe Ratio Value Interpretation:

Greater than 1: A Sharpe Ratio greater than 1 is often considered good, indicating that the investment returns are high relative to the risk taken.

Around 1: A Sharpe Ratio around 1 is considered acceptable to good, depending on the context and market conditions. It shows that the returns adequately compensate for the risk.

Between 0 and 1: A Sharpe Ratio between 0 and 1 suggests that the investment returns are not fully compensating for the risk. However, this may still be acceptable in low-risk investments or in a low interest rate environment.

Less than 0: A Sharpe Ratio less than 0 indicates that the investment has underperformed the risk-free rate, suggesting that the risk taken is not justified by the returns.

sharpe-ratio's People

Contributors

szafranerio avatar

Stargazers

 avatar

Watchers

 avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.