using System.Drawing; using TradingPlatform.BusinessLayer; using static QuanTAlib.IndicatorExtensions; namespace QuanTAlib; /// /// NORMALIZE (Min-Max Normalization) Quantower indicator. /// Scales values to [0, 1] range using min-max scaling over a lookback period. /// public class NormalizeIndicator : Indicator, IWatchlistIndicator { [DataSourceInput] public SourceType Source { get; set; } = SourceType.Close; [InputParameter("Period", sortIndex: 0, minimum: 1, maximum: 1000, increment: 1)] public int Period { get; set; } = 14; [InputParameter("Show Cold Values", sortIndex: 100)] public bool ShowColdValues { get; set; } = true; private Normalize? _normalize; private Func? _selector; public int MinHistoryDepths => Period; public override string ShortName => $"NORM({Period})"; public NormalizeIndicator() { Name = "NORMALIZE - Min-Max Normalization"; Description = "Scales values to [0, 1] range using min-max scaling over a lookback period"; SeparateWindow = true; OnBackGround = true; } protected override void OnInit() { _normalize = new Normalize(Period); _selector = Source.GetPriceSelector(); AddLineSeries(new LineSeries("Normalize", Color.Green, 2, LineStyle.Solid)); } protected override void OnUpdate(UpdateArgs args) { if (_normalize == null || _selector == null) return; var item = HistoricalData[0, SeekOriginHistory.End]; double value = _selector(item); bool isNew = args.IsNewBar(); TValue input = new(item.TimeLeft, value); _normalize.Update(input, isNew); bool isHot = _normalize.IsHot; LinesSeries[0].SetValue(_normalize.Last.Value, isHot, ShowColdValues); } }