/
Hammer.cs
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/
Hammer.cs
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/*
* QUANTCONNECT.COM - Democratizing Finance, Empowering Individuals.
* Lean Algorithmic Trading Engine v2.0. Copyright 2014 QuantConnect Corporation.
*
* 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.
*/
using System;
using QuantConnect.Data.Market;
namespace QuantConnect.Indicators.CandlestickPatterns
{
/// <summary>
/// Hammer candlestick pattern indicator
/// </summary>
/// <remarks>
/// Must have:
/// - small real body
/// - long lower shadow
/// - no, or very short, upper shadow
/// - body below or near the lows of the previous candle
/// The meaning of "short", "long" and "near the lows" is specified with SetCandleSettings;
/// The returned value is positive(+1): hammer is always bullish;
/// The user should consider that a hammer must appear in a downtrend, while this function does not consider it
/// </remarks>
public class Hammer : CandlestickPattern
{
private readonly int _bodyShortAveragePeriod;
private readonly int _shadowLongAveragePeriod;
private readonly int _shadowVeryShortAveragePeriod;
private readonly int _nearAveragePeriod;
private decimal _bodyShortPeriodTotal;
private decimal _shadowLongPeriodTotal;
private decimal _shadowVeryShortPeriodTotal;
private decimal _nearPeriodTotal;
/// <summary>
/// Initializes a new instance of the <see cref="Hammer"/> class using the specified name.
/// </summary>
/// <param name="name">The name of this indicator</param>
public Hammer(string name)
: base(name, Math.Max(Math.Max(Math.Max(CandleSettings.Get(CandleSettingType.BodyShort).AveragePeriod, CandleSettings.Get(CandleSettingType.ShadowLong).AveragePeriod),
CandleSettings.Get(CandleSettingType.ShadowVeryShort).AveragePeriod), CandleSettings.Get(CandleSettingType.Near).AveragePeriod) + 1 + 1)
{
_bodyShortAveragePeriod = CandleSettings.Get(CandleSettingType.BodyLong).AveragePeriod;
_shadowLongAveragePeriod = CandleSettings.Get(CandleSettingType.ShadowLong).AveragePeriod;
_shadowVeryShortAveragePeriod = CandleSettings.Get(CandleSettingType.ShadowVeryShort).AveragePeriod;
_nearAveragePeriod = CandleSettings.Get(CandleSettingType.Near).AveragePeriod;
}
/// <summary>
/// Initializes a new instance of the <see cref="Hammer"/> class.
/// </summary>
public Hammer()
: this("HAMMER")
{
}
/// <summary>
/// Gets a flag indicating when this indicator is ready and fully initialized
/// </summary>
public override bool IsReady
{
get { return Samples >= Period; }
}
/// <summary>
/// Computes the next value of this indicator from the given state
/// </summary>
/// <param name="window">The window of data held in this indicator</param>
/// <param name="input">The input given to the indicator</param>
/// <returns>A new value for this indicator</returns>
protected override decimal ComputeNextValue(IReadOnlyWindow<IBaseDataBar> window, IBaseDataBar input)
{
if (!IsReady)
{
if (Samples >= Period - _bodyShortAveragePeriod)
{
_bodyShortPeriodTotal += GetCandleRange(CandleSettingType.BodyShort, input);
}
if (Samples >= Period - _shadowLongAveragePeriod)
{
_shadowLongPeriodTotal += GetCandleRange(CandleSettingType.ShadowLong, input);
}
if (Samples >= Period - _shadowVeryShortAveragePeriod)
{
_shadowVeryShortPeriodTotal += GetCandleRange(CandleSettingType.ShadowVeryShort, input);
}
if (Samples >= Period - _nearAveragePeriod - 1 && Samples < Period - 1)
{
_nearPeriodTotal += GetCandleRange(CandleSettingType.Near, input);
}
return 0m;
}
decimal value;
if (
// small rb
GetRealBody(input) < GetCandleAverage(CandleSettingType.BodyShort, _bodyShortPeriodTotal, input) &&
// long lower shadow
GetLowerShadow(input) > GetCandleAverage(CandleSettingType.ShadowLong, _shadowLongPeriodTotal, input) &&
// very short upper shadow
GetUpperShadow(input) < GetCandleAverage(CandleSettingType.ShadowVeryShort, _shadowVeryShortPeriodTotal, input) &&
// rb near the prior candle's lows
Math.Min(input.Close, input.Open) <= window[1].Low + GetCandleAverage(CandleSettingType.Near, _nearPeriodTotal, window[1])
)
value = 1m;
else
value = 0m;
// add the current range and subtract the first range: this is done after the pattern recognition
// when avgPeriod is not 0, that means "compare with the previous candles" (it excludes the current candle)
_bodyShortPeriodTotal += GetCandleRange(CandleSettingType.BodyShort, input) -
GetCandleRange(CandleSettingType.BodyShort, window[_bodyShortAveragePeriod]);
_shadowLongPeriodTotal += GetCandleRange(CandleSettingType.ShadowLong, input) -
GetCandleRange(CandleSettingType.ShadowLong, window[_shadowLongAveragePeriod]);
_shadowVeryShortPeriodTotal += GetCandleRange(CandleSettingType.ShadowVeryShort, input) -
GetCandleRange(CandleSettingType.ShadowVeryShort, window[_shadowVeryShortAveragePeriod]);
_nearPeriodTotal += GetCandleRange(CandleSettingType.Near, window[1]) -
GetCandleRange(CandleSettingType.Near, window[_nearAveragePeriod + 1]);
return value;
}
/// <summary>
/// Resets this indicator to its initial state
/// </summary>
public override void Reset()
{
_bodyShortPeriodTotal = 0m;
_shadowLongPeriodTotal = 0m;
_shadowVeryShortPeriodTotal = 0m;
_nearPeriodTotal = 0m;
base.Reset();
}
}
}