In finance, computation efficiency can be directly converted to trading profits sometimes. Quants are facing the challenges of trading off research efficiency with computation efficiency. Using Python can produce succinct research codes, which improves research efficiency. However, vanilla Python code is ...
(i.e., generating a return greater than $0.01), the Greeks associated with each leg of the strategy using the Black-Sholes model, the resulting debit or credit on the trading account, the maximum and minimum returns within a specified lower and higher price range of the underlying asset, ...
Python This API is intended to be used for writing Python programs to automate trades in the Investopedia Stock Simulator, therefore you should have Python installed on your system. I recommend using Python 3.12.2 or later to avoid running into issues or other problems. You can download Python...
Our experiments are done in a simulated physics-based environment constructed using Python.Footnote 1 The 20 simulated robots have the physical specification of e-pucks (Mondada et al., 2009) with a linear speed of 0.16 m/s, a rotational speed of 0.75 rad/s, a communication range of 0.5 ...
What I'm trying to do is incorporating Bloomberg ADI to the spreadsheets so I can get a live trading data feeding to the models.Bloomberg terminal has a quite comprehensive system of database, charting, etc but I'm using your excel models to complement my end use, which is so brilliant!
How to find new trading strategy ideas and objectively assess them for your portfolio using a Python-based backtesting engine. Find Out More Advanced Algorithmic Trading How to implement advanced trading strategies using time series analysis, machine learning and Bayesian statistics with R and Python...
How to find new trading strategy ideas and objectively assess them for your portfolio using a Python-based backtesting engine. Find Out More Advanced Algorithmic Trading How to implement advanced trading strategies using time series analysis, machine learning and Bayesian statistics with R and Python...
Dimensionality reduction in trading strategies and models Market activity / volatility / sentiment models using textual data and web/social activity Data visualization, presentation and writing Financial Data Processing The first and quite unpopular task of most financial research projects is cleaning the ...
But if you are developing something large or more complicated, more performance-critical, perhaps a high-frequency trading application, then it really helps to have a statically typed language such as Kotlin. InfoWorld: Why is Kotlin more productive than, say, Java or Scala or some of the ...
(e.g., greater rewards for purchases for specific merchant categories, such as categories associated with travel or restaurants, greater rewards for using rewards with certain merchant or merchant categories, varying exchange rates for trading one reward for another, bonus rewards for spending a ...