TickerPriceStatistics.java

  1. package org.drip.param.quote;

  2. /*
  3.  * -*- mode: java; tab-width: 4; indent-tabs-mode: nil; c-basic-offset: 4 -*-
  4.  */

  5. /*!
  6.  * Copyright (C) 2020 Lakshmi Krishnamurthy
  7.  * Copyright (C) 2019 Lakshmi Krishnamurthy
  8.  *
  9.  *  This file is part of DROP, an open-source library targeting analytics/risk, transaction cost analytics,
  10.  *      asset liability management analytics, capital, exposure, and margin analytics, valuation adjustment
  11.  *      analytics, and portfolio construction analytics within and across fixed income, credit, commodity,
  12.  *      equity, FX, and structured products. It also includes auxiliary libraries for algorithm support,
  13.  *      numerical analysis, numerical optimization, spline builder, model validation, statistical learning,
  14.  *      and computational support.
  15.  *  
  16.  *      https://lakshmidrip.github.io/DROP/
  17.  *  
  18.  *  DROP is composed of three modules:
  19.  *  
  20.  *  - DROP Product Core - https://lakshmidrip.github.io/DROP-Product-Core/
  21.  *  - DROP Portfolio Core - https://lakshmidrip.github.io/DROP-Portfolio-Core/
  22.  *  - DROP Computational Core - https://lakshmidrip.github.io/DROP-Computational-Core/
  23.  *
  24.  *  DROP Product Core implements libraries for the following:
  25.  *  - Fixed Income Analytics
  26.  *  - Loan Analytics
  27.  *  - Transaction Cost Analytics
  28.  *
  29.  *  DROP Portfolio Core implements libraries for the following:
  30.  *  - Asset Allocation Analytics
  31.  *  - Asset Liability Management Analytics
  32.  *  - Capital Estimation Analytics
  33.  *  - Exposure Analytics
  34.  *  - Margin Analytics
  35.  *  - XVA Analytics
  36.  *
  37.  *  DROP Computational Core implements libraries for the following:
  38.  *  - Algorithm Support
  39.  *  - Computation Support
  40.  *  - Function Analysis
  41.  *  - Model Validation
  42.  *  - Numerical Analysis
  43.  *  - Numerical Optimizer
  44.  *  - Spline Builder
  45.  *  - Statistical Learning
  46.  *
  47.  *  Documentation for DROP is Spread Over:
  48.  *
  49.  *  - Main                     => https://lakshmidrip.github.io/DROP/
  50.  *  - Wiki                     => https://github.com/lakshmiDRIP/DROP/wiki
  51.  *  - GitHub                   => https://github.com/lakshmiDRIP/DROP
  52.  *  - Repo Layout Taxonomy     => https://github.com/lakshmiDRIP/DROP/blob/master/Taxonomy.md
  53.  *  - Javadoc                  => https://lakshmidrip.github.io/DROP/Javadoc/index.html
  54.  *  - Technical Specifications => https://github.com/lakshmiDRIP/DROP/tree/master/Docs/Internal
  55.  *  - Release Versions         => https://lakshmidrip.github.io/DROP/version.html
  56.  *  - Community Credits        => https://lakshmidrip.github.io/DROP/credits.html
  57.  *  - Issues Catalog           => https://github.com/lakshmiDRIP/DROP/issues
  58.  *  - JUnit                    => https://lakshmidrip.github.io/DROP/junit/index.html
  59.  *  - Jacoco                   => https://lakshmidrip.github.io/DROP/jacoco/index.html
  60.  *
  61.  *  Licensed under the Apache License, Version 2.0 (the "License");
  62.  *      you may not use this file except in compliance with the License.
  63.  *  
  64.  *  You may obtain a copy of the License at
  65.  *      http://www.apache.org/licenses/LICENSE-2.0
  66.  *  
  67.  *  Unless required by applicable law or agreed to in writing, software
  68.  *      distributed under the License is distributed on an "AS IS" BASIS,
  69.  *      WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  70.  *  
  71.  *  See the License for the specific language governing permissions and
  72.  *      limitations under the License.
  73.  */

  74. /**
  75.  * <i>TickerPriceStatistics</i> maintains the Running "Thin" Price Statistics for a Single Ticker.
  76.  *
  77.  *  <br><br>
  78.  *  <ul>
  79.  *      <li><b>Module </b> = <a href = "https://github.com/lakshmiDRIP/DROP/tree/master/ProductCore.md">Product Core Module</a></li>
  80.  *      <li><b>Library</b> = <a href = "https://github.com/lakshmiDRIP/DROP/tree/master/FixedIncomeAnalyticsLibrary.md">Fixed Income Analytics</a></li>
  81.  *      <li><b>Project</b> = <a href = "https://github.com/lakshmiDRIP/DROP/tree/master/src/main/java/org/drip/param/README.md">Product Cash Flow, Valuation, Market, Pricing, and Quoting Parameters</a></li>
  82.  *      <li><b>Package</b> = <a href = "https://github.com/lakshmiDRIP/DROP/tree/master/src/main/java/org/drip/param/quote/README.md">Multi-sided Multi-Measure Ticks Quotes</a></li>
  83.  *  </ul>
  84.  *
  85.  * @author Lakshmi Krishnamurthy
  86.  */

  87. public class TickerPriceStatistics
  88. {
  89.     private int _count = 0;
  90.     private double _maximum = java.lang.Double.NaN;
  91.     private double _minimum = java.lang.Double.NaN;
  92.     private double _aggregate = java.lang.Double.NaN;

  93.     /**
  94.      * TickerPriceStatistics Constructor
  95.      *
  96.      * @param price The Instance Price
  97.      *
  98.      * @throws java.lang.Exception Thrown if the Inputs are Invalid
  99.      */

  100.     public TickerPriceStatistics (
  101.         final double price)
  102.         throws java.lang.Exception
  103.     {
  104.         if (!org.drip.numerical.common.NumberUtil.IsValid (price) || 0. >= price)
  105.         {
  106.             throw new java.lang.Exception ("TickerPriceStatistics Constructor => Invalid Inputs");
  107.         }

  108.         _count = 1;
  109.         _minimum = price;
  110.         _maximum = price;
  111.         _aggregate = price;
  112.     }

  113.     /**
  114.      * Retrieve the Ticker Instance Count
  115.      *
  116.      * @return The Ticker Instance Count
  117.      */

  118.     public int count()
  119.     {
  120.         return _count;
  121.     }

  122.     /**
  123.      * Retrieve the Minimum Ticker Price
  124.      *
  125.      * @return The Minimum Ticker Price
  126.      */

  127.     public double minimum()
  128.     {
  129.         return _minimum;
  130.     }

  131.     /**
  132.      * Retrieve the Maximum Ticker Price
  133.      *
  134.      * @return The Maximum Ticker Price
  135.      */

  136.     public double maximum()
  137.     {
  138.         return _maximum;
  139.     }

  140.     /**
  141.      * Retrieve the Aggregate Ticker Price
  142.      *
  143.      * @return The Aggregate Ticker Price
  144.      */

  145.     public double aggregate()
  146.     {
  147.         return _aggregate;
  148.     }

  149.     /**
  150.      * Retrieve the Average Ticker Price
  151.      *
  152.      * @return The Average Ticker Price
  153.      */

  154.     public double average()
  155.     {
  156.         return _aggregate / _count;
  157.     }

  158.     /**
  159.      * Add a Single Price Instance
  160.      *
  161.      * @param price The Instance Price
  162.      *
  163.      * @return TRUE - The Price Instance successfully added
  164.      */

  165.     public boolean addInstance (
  166.         final double price)
  167.     {
  168.         if (!org.drip.numerical.common.NumberUtil.IsValid (price) || 0. >= price)
  169.         {
  170.             return false;
  171.         }

  172.         ++_count;
  173.         _aggregate += price;

  174.         if (_minimum > price)
  175.         {
  176.             _minimum = price;
  177.         }
  178.         else if (_maximum < price)
  179.         {
  180.             _maximum = price;
  181.         }

  182.         return true;
  183.     }

  184.     @Override public java.lang.String toString()
  185.     {
  186.         return "" + _maximum + " " + _minimum + " " + average();
  187.     }
  188. }