/*
* Encog(tm) Core v3.4 - Java Version
* http://www.heatonresearch.com/encog/
* https://github.com/encog/encog-java-core
* Copyright 2008-2016 Heaton Research, Inc.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*
* For more information on Heaton Research copyrights, licenses
* and trademarks visit:
* http://www.heatonresearch.com/copyright
*/
package org.encog.ml.data.market;
import java.util.Collection;
import java.util.Date;
import java.util.HashMap;
import java.util.HashSet;
import java.util.Map;
import java.util.Set;
import org.encog.ml.data.market.loader.LoadedMarketData;
import org.encog.ml.data.market.loader.MarketLoader;
import org.encog.ml.data.temporal.TemporalDataDescription;
import org.encog.ml.data.temporal.TemporalMLDataSet;
import org.encog.ml.data.temporal.TemporalPoint;
import org.encog.neural.data.NeuralData;
import org.encog.util.time.TimeUnit;
/**
* A data set that is designed to hold market data. This class is based on the
* TemporalNeuralDataSet. This class is designed to load financial data from
* external sources. This class is designed to track financial data across days.
* However, it should be usable with other levels of granularity as well.
*
* @author jheaton
*
*/
public class MarketMLDataSet extends TemporalMLDataSet {
/**
* The serial id.
*/
private static final long serialVersionUID = 170791819906003867L;
/**
* The loader to use to obtain the data.
*/
private final MarketLoader loader;
/**
* A map between the data points and actual data.
*/
private final Map<Integer, TemporalPoint> pointIndex =
new HashMap<Integer, TemporalPoint>();
/**
* Construct a market data set object.
*
* @param loader
* The loader to use to get the financial data.
* @param inputWindowSize
* The input window size, that is how many datapoints do we use
* to predict.
* @param predictWindowSize
* How many datapoints do we want to predict.
*/
public MarketMLDataSet(final MarketLoader loader,
final int inputWindowSize, final int predictWindowSize) {
super(inputWindowSize, predictWindowSize);
this.loader = loader;
setSequenceGrandularity(TimeUnit.DAYS);
}
/**
* Add one description of the type of market data that we are seeking at
* each datapoint.
*
* @param desc
* The data description.
*/
@Override
public void addDescription(final TemporalDataDescription desc) {
if (!(desc instanceof MarketDataDescription)) {
final String str = "Only MarketDataDescription objects may be used "
+ "with the MarketNeuralDataSet container.";
throw new MarketError(str);
}
super.addDescription(desc);
}
/**
* Create a datapoint at the specified date.
*
* @param when
* The date to create the point at.
* @return Returns the TemporalPoint created for the specified date.
*/
@Override
public TemporalPoint createPoint(final Date when) {
final int sequence = getSequenceFromDate(when);
TemporalPoint result = this.pointIndex.get(sequence);
if (result == null) {
result = super.createPoint(when);
this.pointIndex.put(result.getSequence(), result);
}
return result;
}
/**
* To be implemented later.
*
* @param date
* NOT USED
* @return NOT USED
*/
public NeuralData generateInputForPrediction(final Date date) {
return null;
}
/**
* @return The loader that is being used for this set.
*/
public MarketLoader getLoader() {
return this.loader;
}
/**
* Load data from the loader.
*
* @param begin
* The beginning date.
* @param end
* The ending date.
*/
public void load(final Date begin, final Date end) {
// define the starting point if it is not already defined
if (getStartingPoint() == null) {
setStartingPoint(begin);
}
// clear out any loaded points
getPoints().clear();
// first obtain a collection of symbols that need to be looked up
final Set<TickerSymbol> set = new HashSet<TickerSymbol>();
for (final TemporalDataDescription desc : getDescriptions()) {
final MarketDataDescription mdesc = (MarketDataDescription) desc;
set.add(mdesc.getTicker());
}
// now loop over each symbol and load the data
for (final TickerSymbol symbol : set) {
loadSymbol(symbol, begin, end);
}
// resort the points
sortPoints();
}
/**
* Load one point of market data.
*
* @param ticker
* The ticker symbol to load.
* @param point
* The point to load at.
* @param item
* The item being loaded.
*/
private void loadPointFromMarketData(final TickerSymbol ticker,
final TemporalPoint point, final LoadedMarketData item) {
for (final TemporalDataDescription desc : getDescriptions()) {
final MarketDataDescription mdesc = (MarketDataDescription) desc;
if (mdesc.getTicker().equals(ticker)) {
point.setData(mdesc.getIndex(), item.getData(mdesc
.getDataType()));
}
}
}
/**
* Load one ticker symbol.
*
* @param ticker
* The ticker symbol to load.
* @param from
* Load data from this date.
* @param to
* Load data to this date.
*/
private void loadSymbol(final TickerSymbol ticker, final Date from,
final Date to) {
final Collection<LoadedMarketData> data = getLoader().load(ticker,
null, from, to);
for (final LoadedMarketData item : data) {
final TemporalPoint point = this.createPoint(item.getWhen());
loadPointFromMarketData(ticker, point, item);
}
}
}