From 5a53a21e97311d239f57266d58d2d7b6f55c42a6 Mon Sep 17 00:00:00 2001
From: Administrator <15274802129@163.com>
Date: Thu, 25 Dec 2025 15:20:24 +0800
Subject: [PATCH] feat(indicator): 更新技术指标基础类和MACD实现

---
 src/main/java/com/xcong/excoin/modules/okxNewPrice/indicator/IndicatorBase.java |  100 +++++++++++++++++++++++++-------------------------
 1 files changed, 50 insertions(+), 50 deletions(-)

diff --git a/src/main/java/com/xcong/excoin/modules/okxNewPrice/indicator/IndicatorBase.java b/src/main/java/com/xcong/excoin/modules/okxNewPrice/indicator/IndicatorBase.java
index 055e3fc..a3b80b7 100644
--- a/src/main/java/com/xcong/excoin/modules/okxNewPrice/indicator/IndicatorBase.java
+++ b/src/main/java/com/xcong/excoin/modules/okxNewPrice/indicator/IndicatorBase.java
@@ -6,31 +6,31 @@
 import java.util.List;
 
 /**
- * 技术指标基础类,提供通用计算方法
+ * Technical indicators base class, provides common calculation methods
  * 
- * 指标组合策略:
- * 1. 趋势判断(MA/AdvancedMA/MACD):判断价格的整体走势方向
- * 2. 动量确认(RSI/KDJ):确认当前趋势的强度和可持续性
- * 3. 波动参考(BOLL):确定价格的合理波动范围和突破时机
+ * Indicator combination strategy:
+ * 1. Trend judgment (MA/AdvancedMA/MACD): Determine the overall trend direction of prices
+ * 2. Momentum confirmation (RSI/KDJ): Confirm the strength and sustainability of the current trend
+ * 3. Volatility reference (BOLL): Determine reasonable price volatility range and breakthrough timing
  * 
- * 多空方向选择逻辑:
- * - 多头信号:MA多头排列 + MACD金叉 + RSI(30-70) + BOLL价格在上轨与中轨之间
- * - 空头信号:MA空头排列 + MACD死叉 + RSI(30-70) + BOLL价格在下轨与中轨之间
- * - 震荡信号:AdvancedMA三线粘合 + RSI(40-60) + BOLL带宽收窄
+ * Long/Short direction selection logic:
+ * - Long signal: MA bullish arrangement + MACD golden cross + RSI(30-70) + BOLL price between upper and middle band
+ * - Short signal: MA bearish arrangement + MACD death cross + RSI(30-70) + BOLL price between lower and middle band
+ * - Consolidation signal: AdvancedMA three-line convergence + RSI(40-60) + BOLL bandwidth narrowing
  * 
- * 开仓和平仓策略:
- * - 开多:MA金叉 + MACD金叉 + KDJ金叉 + RSI(30-70) + 价格突破BOLL中轨
- * - 开空:MA死叉 + MACD死叉 + KDJ死叉 + RSI(30-70) + 价格跌破BOLL中轨
- * - 平多:MA死叉 + MACD死叉 + RSI超买(>70) + 价格跌破BOLL中轨
- * - 平空:MA金叉 + MACD金叉 + RSI超卖(<30) + 价格突破BOLL中轨
+ * Open and close position strategies:
+ * - Open long: MA golden cross + MACD golden cross + KDJ golden cross + RSI(30-70) + price breaks through BOLL middle band
+ * - Open short: MA death cross + MACD death cross + KDJ death cross + RSI(30-70) + price breaks below BOLL middle band
+ * - Close long: MA death cross + MACD death cross + RSI overbought(>70) + price breaks below BOLL middle band
+ * - Close short: MA golden cross + MACD golden cross + RSI oversold(<30) + price breaks through BOLL middle band
  */
 public abstract class IndicatorBase {
 
     /**
-     * 计算移动平均值
-     * @param prices 价格列表
-     * @param period 周期
-     * @return 移动平均值
+     * Calculate moving average
+     * @param prices Price list
+     * @param period Period
+     * @return Moving average value
      */
     protected BigDecimal calculateMA(List<BigDecimal> prices, int period) {
         if (prices == null || prices.size() < period) {
@@ -44,11 +44,11 @@
     }
 
     /**
-     * 计算指数移动平均值
-     * @param prices 价格列表
-     * @param period 周期
-     * @param prevEMA 前一个EMA值
-     * @return 指数移动平均值
+     * Calculate exponential moving average
+     * @param prices Price list
+     * @param period Period
+     * @param prevEMA Previous EMA value
+     * @return Exponential moving average value
      */
     protected BigDecimal calculateEMA(List<BigDecimal> prices, int period, BigDecimal prevEMA) {
         if (prices == null || prices.size() == 0) {
@@ -63,10 +63,10 @@
     }
 
     /**
-     * 计算标准差
-     * @param prices 价格列表
-     * @param period 周期
-     * @return 标准差
+     * Calculate standard deviation
+     * @param prices Price list
+     * @param period Period
+     * @return Standard deviation
      */
     protected BigDecimal calculateStdDev(List<BigDecimal> prices, int period) {
         if (prices == null || prices.size() < period) {
@@ -83,9 +83,9 @@
     }
 
     /**
-     * 计算平方根(简化实现)
-     * @param value 输入值
-     * @return 平方根
+     * Calculate square root (simplified implementation)
+     * @param value Input value
+     * @return Square root
      */
     protected BigDecimal sqrt(BigDecimal value) {
         if (value.compareTo(BigDecimal.ZERO) < 0) {
@@ -95,10 +95,10 @@
     }
 
     /**
-     * 获取最近的价格数据
-     * @param prices 所有价格数据
-     * @param period 周期
-     * @return 最近period个价格数据
+     * Get recent price data
+     * @param prices All price data
+     * @param period Period
+     * @return Recent period price data
      */
     protected List<BigDecimal> getRecentPrices(List<BigDecimal> prices, int period) {
         if (prices == null || prices.size() == 0) {
@@ -109,12 +109,12 @@
     }
 
     /**
-     * 计算ATR(Average True Range)
-     * @param high 最高价列表
-     * @param low 最低价列表
-     * @param close 收盘价列表
-     * @param period 周期
-     * @return ATR值
+     * Calculate ATR (Average True Range)
+     * @param high High price list
+     * @param low Low price list
+     * @param close Close price list
+     * @param period Period
+     * @return ATR value
      */
     protected BigDecimal calculateATR(List<BigDecimal> high, List<BigDecimal> low, List<BigDecimal> close, int period) {
         if (high == null || low == null || close == null || 
@@ -128,16 +128,16 @@
             trList.add(trueRange);
         }
 
-        // 使用简单移动平均计算ATR
+        // Use simple moving average to calculate ATR
         return calculateMA(trList, Math.min(period, trList.size()));
     }
 
     /**
-     * 计算真实波幅(True Range)
-     * @param high 当前最高价
-     * @param low 当前最低价
-     * @param prevClose 前收盘价
-     * @return 真实波幅
+     * Calculate True Range
+     * @param high Current high price
+     * @param low Current low price
+     * @param prevClose Previous close price
+     * @return True range
      */
     protected BigDecimal calculateTrueRange(BigDecimal high, BigDecimal low, BigDecimal prevClose) {
         BigDecimal h1 = high.subtract(low);
@@ -147,10 +147,10 @@
     }
 
     /**
-     * 计算标准化波动率(基于ATR)
-     * @param close 收盘价列表
-     * @param atr ATR值
-     * @return 标准化波动率(百分比)
+     * Calculate normalized volatility (based on ATR)
+     * @param close Close price list
+     * @param atr ATR value
+     * @return Normalized volatility (percentage)
      */
     protected BigDecimal normalizeVolatility(List<BigDecimal> close, BigDecimal atr) {
         if (close == null || close.size() == 0 || atr.compareTo(BigDecimal.ZERO) == 0) {

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