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PyNance — PyNance 0.4.0 documentation

PyNance 0.4.0 documentation. Enter search terms or a module, class or function name. April 11, 2015. PyNance is open-source software with tools for retrieving, analysing and visualizing data from stock and derivatives markets. PyNance depends on several powerful libraries that can be tricky to install, specifically NumPy. Unless you have already installed these libraries, it is recommended to install the following individually using. As you will likely need to debug one or more of these installations:.

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PyNance — PyNance 0.4.0 documentation | optinv.com Reviews

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PyNance 0.4.0 documentation. Enter search terms or a module, class or function name. April 11, 2015. PyNance is open-source software with tools for retrieving, analysing and visualizing data from stock and derivatives markets. PyNance depends on several powerful libraries that can be tricky to install, specifically NumPy. Unless you have already installed these libraries, it is recommended to install the following individually using. As you will likely need to debug one or more of these installations:.

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PyNance — PyNance 0.4.0 documentation | optinv.com Reviews

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PyNance 0.4.0 documentation. Enter search terms or a module, class or function name. April 11, 2015. PyNance is open-source software with tools for retrieving, analysing and visualizing data from stock and derivatives markets. PyNance depends on several powerful libraries that can be tricky to install, specifically NumPy. Unless you have already installed these libraries, it is recommended to install the following individually using. As you will likely need to debug one or more of these installations:.

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Interest rates (pynance.interest) — PyNance 0.5.1 documentation

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PyNance 0.5.1 documentation. Convert continuous compounding rate to annual growth. Annual growth given growth from start date to end date. Convert annual growth to continuous compounding rate. Amount of a constant loan payment. Interest rate for the given payment, i.e., monthly interest if the loan is to be paid off monthly. Number of payments to be made. Amount to be paid each period. Payments of a given size given an interest rate per payment interval of. Changed in version 0.3.0:.

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Common - generic functions (pynance.common) — PyNance 0.5.1 documentation

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PyNance 0.5.1 documentation. PyNance chart example code:. Common - generic functions (. Return a new function that replicates the behavior of the input but also returns an additional value. Used for creating functions of the proper type to pass to. Additional parameters that the returned function will return. Will become an attribute of the output function. New function that acts like. Except that it also returns an additional value. Add rets(fn, arg0, arg1, arg2). Pndecorate(f, 0, foo=bar).foo. Session ...

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Charts (pynance.chart) — PyNance 0.5.1 documentation

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PyNance 0.5.1 documentation. PyNance chart example code:. Since detailed charts are readily available online, the charts generated by this module serve 2 purposes:. Visualize events as defined by custom algorithms. The functions in this submodule wrap pandas and matplotlib for greater ease of use. Show and optionally save adj close chart of a DataFrame as retrieved using. Show and optionally save candlestick chart of a DataFrame as retrieved using. Title to be used for the chart. Must have same index as.

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Data - building labels (pynance.data.lab) — PyNance 0.5.1 documentation

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PyNance 0.5.1 documentation. Data - building features (. Data - preprocessing functions (. Data - building labels (. These functions are intended to be used in conjunction with. Pynance.data.combine.labeledfeatures(). Number of sessions over which growth is measured. For example, if the value of 32 is passed for. The data returned will show the growth 32 sessions ahead for each data point. Data for evaluating growth. To be used for prices (Normally ‘Adj Close’). Growth labels for the specified period.

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Data - preprocessing functions (pynance.data.prep) — PyNance 0.5.1 documentation

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PyNance 0.5.1 documentation. Data - building labels (. Data - remote retrieval (. Data - preprocessing functions (. Returns a centered data set. Each column of the returned data will have mean 0. The row vector subtracted from each row to achieve this transformation is also returned. DataFrame or ndarray, optional. Alternate output array in which to place the result. If provided, it must have the same shape and type (DataFrame or ndarray) as the expected output. Tuple of DataFrame or ndarray. Return a tr...

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PyNance — PyNance 0.4.0 documentation

PyNance 0.4.0 documentation. Enter search terms or a module, class or function name. April 11, 2015. PyNance is open-source software with tools for retrieving, analysing and visualizing data from stock and derivatives markets. PyNance depends on several powerful libraries that can be tricky to install, specifically NumPy. Unless you have already installed these libraries, it is recommended to install the following individually using. As you will likely need to debug one or more of these installations:.

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