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本帖最后由 一只小怪兽 于 2023-12-8 15:36 编辑
尝试翻译了不到100行菜鸡真的翻译不出来啊
这是指标地址 https://cn.tradingview.com/script/aRxQ1g82-QQE-Weighted-Oscillator-LuxAlgo/
只要能计算出 rsi 和ts 两个数值就好 代码在最底下
[ol]// This work is licensed under a Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) https://creativecommons.org/licenses/by-nc-sa/4.0/// © LuxAlgo//@version=5indicator("QQE Weighted Oscillator [LuxAlgo]", "LuxAlgo - QQE Weighted Oscillator")//------------------------------------------------------------------------------//Settings//-----------------------------------------------------------------------------{length = input.int(14, minval = 1)factor = input.float(4.236, minval = 0)smooth = input.int(5, minval = 1)weight = input.float(2)src = input(close)//StylersiCss = input(#3179f5, 'RSI', group = 'Style')tsBearCss = input(color.red, 'Trailing Stop', group = 'Style', inline = 'inline1')tsBullCss = input(color.teal, '', group = 'Style', inline = 'inline1')//-----------------------------------------------------------------------------}//Weighted QQE//-----------------------------------------------------------------------------{var ts = 0.var rsi = 0.delta = src - src[1]w = nz(delta * (rsi - ts) > 0 ? weight : 1, 1)//Rsinum = ta.rma(delta * w, length)den = ta.rma(math.abs(delta * w), length)rsi := 50 * ta.ema(num / den, smooth) + 50//Trailing stopdiff = ta.rma(math.abs(rsi - rsi[1]), length)crossover = ta.crossover(rsi, ts)crossunder = ta.crossunder(rsi, ts)ts := nz(crossover ? rsi - diff * factor : crossunder ? rsi + diff * factor : rsi > ts ? math.max(rsi - diff * factor, ts) : math.min(rsi + diff * factor, ts), rsi)//-----------------------------------------------------------------------------}//Plots//-----------------------------------------------------------------------------{css = rsi > ts ? tsBullCss : tsBearCssplot_rsi = plot(rsi, 'RSI', rsiCss)plot_ts = plot(ts, 'Traling Stop', css)fill(plot_rsi, plot_ts, rsi, ts, color.new(rsiCss, 50), color.new(css, 50))hline(70)hline(30)//-----------------------------------------------------------------------------}[/ol]复制代码
我自己想办法翻译 的 不行啊
[ol]def crossover(a, b): """ 检查两个指标是否在给定时间点交叉。 Args: a: 第一个指标值。 b: 第二个指标值。 Returns: 如果两个指标在给定时间点交叉，则返回 True，否则返回 False。 """ if a[-1] = b[-2]: return True elif a[-1] >= b[-1] and a[-2] 复制代码
[ol] # Settings length = 14 # RSI 计算长度 factor = 4.236 # 追踪止损因子 smooth = 5 # RSI 平滑周期 weight = 2 # 基于追踪止损对 RSI 应用的权重 src = dataframe['close'] # 输入数据（通常是收盘价） # 加权 QQE ts = 0.0 # 追踪止损值 rsi = 0.0 # 相对强弱指数值 # 计算差额 delta = src - src[1] # 计算权重 w = 1.0 if delta * (rsi - ts) ts else min(rsi + diff * factor, ts)[/ol]复制代码
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