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algotradelib 0.0.0.9000
C++ header-only library for algorithmic trading
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Named technical indicators: z-score, Bollinger bands, RSI, ATR, MACD, and trailing covariance, correlation and beta. More...
#include "./rolling.hpp"#include <algorithm>#include <cmath>#include <cstddef>#include <stdexcept>Go to the source code of this file.
Classes | |
| struct | algotradelib::analytics::BollingerBands |
| The three lines of Bollinger bands, each as long as the input. More... | |
| struct | algotradelib::analytics::MacdLines |
| The three lines of a MACD, each as long as the input. More... | |
Namespaces | |
| namespace | algotradelib |
| The library: broker-neutral types (core), and the modules below. | |
| namespace | algotradelib::analytics |
| Returns, rolling statistics, indicators and performance metrics over numeric series. | |
Functions | |
| math::Vector | algotradelib::analytics::zscore (math::SeriesView values, std::size_t window, std::size_t min_observed) |
| Computes how many trailing sample standard deviations each value lies from its trailing mean. | |
| math::Vector | algotradelib::analytics::zscore (math::SeriesView values, std::size_t window) |
| Computes the trailing z-score, requiring every row of the window. | |
| BollingerBands | algotradelib::analytics::bollinger (math::SeriesView values, std::size_t window, Scalar multiplier, std::size_t min_observed) |
| Computes Bollinger bands: the trailing mean and bands multiplier sample standard deviations either side of it. | |
| BollingerBands | algotradelib::analytics::bollinger (math::SeriesView values, std::size_t window=20, Scalar multiplier=Scalar{2}) |
| Computes Bollinger bands, requiring every row of the window. | |
| math::Vector | algotradelib::analytics::rsi (math::SeriesView prices, std::size_t period=14) |
| Computes Wilder's relative strength index. | |
| math::Vector | algotradelib::analytics::true_range (math::SeriesView highs, math::SeriesView lows, math::SeriesView closes) |
| Computes each bar's true range, max(high - low, |high - prev close|, |low - prev close|). | |
| math::Vector | algotradelib::analytics::atr (math::SeriesView highs, math::SeriesView lows, math::SeriesView closes, std::size_t period=14) |
| Computes the average true range with Wilder's smoothing. | |
| MacdLines | algotradelib::analytics::macd (math::SeriesView values, std::size_t fast=12, std::size_t slow=26, std::size_t signal_span=9) |
| Computes the MACD (moving-average convergence/divergence) lines. | |
| math::Vector | algotradelib::analytics::rolling_cov (math::SeriesView left, math::SeriesView right, std::size_t window, std::size_t min_observed) |
| Computes the trailing sample covariance of two series (divisor count - 1). | |
| math::Vector | algotradelib::analytics::rolling_cov (math::SeriesView left, math::SeriesView right, std::size_t window) |
| Computes the trailing sample covariance, requiring both series on every row of the window. | |
| math::Vector | algotradelib::analytics::rolling_corr (math::SeriesView left, math::SeriesView right, std::size_t window, std::size_t min_observed) |
| Computes the trailing Pearson correlation of two series. | |
| math::Vector | algotradelib::analytics::rolling_corr (math::SeriesView left, math::SeriesView right, std::size_t window) |
| Computes the trailing correlation, requiring both series on every row of the window. | |
| math::Vector | algotradelib::analytics::beta (math::SeriesView asset, math::SeriesView market, std::size_t window, std::size_t min_observed) |
| Computes the trailing beta of an asset against a market, cov(asset, market) / var(market). | |
| math::Vector | algotradelib::analytics::beta (math::SeriesView asset, math::SeriesView market, std::size_t window) |
| Computes the trailing beta, requiring both series on every row of the window. | |
Named technical indicators: z-score, Bollinger bands, RSI, ATR, MACD, and trailing covariance, correlation and beta.
They follow the conventions of rolling.hpp: the result is as long as the input, a value that cannot be computed is missing(), and nothing is reported before the window holds enough observations. Where an indicator has a conventional parameterization (Wilder's smoothing for RSI and ATR, spans for MACD), its documentation says which one it follows.
Definition in file indicators.hpp.