CurrencyStrength

CurrencyStrength is a Python package that computes the strength of currencies based on historical exchange rates. The package can be used to analyze forex markets and make investment decisions.

Features

CurrencyStrength provides the following functionality:

• Compute currency strength based on historical exchange rate data.
• Visualize currency strength using various charts, including line charts and bar charts.
• Compare the strength of multiple currencies at the same time.
• Calculate the historical correlation between two currencies.

Installation

You can install CurrencyStrength using pip:

pip install currencystrength

Usage

To use CurrencyStrength, you first need to import the package and create a CurrencyStrength object:

from currencystrength import CurrencyStrength

cs = CurrencyStrength()

You can then use the compute_strength method to compute the strength of a currency:

strength = cs.compute_strength('USD')
print(strength)

This will compute the strength of the USD based on historical exchange rate data.

You can also visualize the strength of a currency using the plot_strength method:

cs.plot_strength('USD')

This will plot a line chart of the strength of the USD over time.

To compare the strength of multiple currencies, you can use the compare_strength method:

cs.compare_strength(['USD', 'EUR', 'JPY'])

This will plot a bar chart showing the relative strength of the USD, EUR, and JPY.

Finally, you can calculate the historical correlation between two currencies using the correlation method:

corr = cs.correlation('USD', 'EUR')
print(corr)

This will calculate the historical correlation between the USD and EUR.

Conclusion

CurrencyStrength is a powerful Python package for analyzing forex markets and making investment decisions. Its features include computing currency strength, visualizing strength using various charts, comparing the strength of multiple currencies, and calculating the historical correlation between two currencies. With CurrencyStrength, you can gain a deeper understanding of forex markets and make more informed investment decisions.