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Saved by uncleflo on September 23rd, 2022.
If you’re buying your first home or getting ready to invest in securities for the first time, you probably have a lot of questions. The first and most important should be, “How do interest rates work?” This is an invaluable first question to ask because it’ll govern how you look at your investment – whether you’re a borrower taking on new debt or an investor calculating ROI. The fact is interest rates are the defining variables that control investments. Even more important than time, interest rates dictate what you can expect to gain from an equity or owe in debt. But they’re not just numbers – they have meaning and purpose. Understanding how interest rates work is your secret to maximizing your choices when it comes to investing. Here’s what you should know about this all-important governing factor. An interest rate is a percentage of a principal value that’s owed in regular intervals over the term of an investment. It’s the cost of borrowing money. Or, if you’re the creditor, it’s your rate of return. An interest rate is what makes lending money lucrative, and it’s a way of determining the cost of borrowing before you decide to take a loan. Here’s a simple example:
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Saved by uncleflo on January 16th, 2022.
Technical Analysis for Traders. The trader extension is a free open source stock library based on TA-Lib. It's dedicated to trading software developers requiring to perform technical analysis of financial market data. Alongside many indicators like ADX, MACD, RSI, Stochastic, TRIX the candlestick pattern recognition and several vector arithmetic and algebraic functions are present. Calculations can be done in two modes - TA-Lib and Metastock. Changing it using trader_set_compat() will affect the way some trader functions work. Some trader functions provide different results depending of the "starting point" of the data being involved. This is often referred as a function having memories. An example of such function is the Exponential Moving Average. It is possible to control the unstable period (the amount of data to strip off) using trader_set_unstable_period() function. Extended documentation about indicators, formulas and implementations in other programming languages can be found under » tadoc.org.
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Saved by uncleflo on January 16th, 2022.
This is a Python wrapper for TA-LIB based on Cython instead of SWIG. From the homepage: TA-Lib is widely used by trading software developers requiring to perform technical analysis of financial market data. The original Python bindings included with TA-Lib use SWIG which unfortunately are difficult to install and aren't as efficient as they could be. Therefore this project uses Cython and Numpy to efficiently and cleanly bind to TA-Lib -- producing results 2-4 times faster than the SWIG interface.
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