160 lines
6.1 KiB
Markdown
160 lines
6.1 KiB
Markdown
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> Name
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价格突破移动平均线的趋势跟踪策略Price-Crossing-Moving-Average-Trend-Following-Strategy
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> Author
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ChaoZhang
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> Strategy Description
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[trans]
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## 概述
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这个策略基于价格与移动平均线的交叉来产生买入和卖出信号。它提供了多种类型的移动平均线以及一个公差参数来过滤假突破。该策略旨在捕捉价格趋势的转折点,实现趋势跟踪。
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## 策略原理
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该策略以价格收盘价为基础,计算出长度为N的移动平均线。典型的移动平均线类型有简单移动平均线(SMA)、指数移动平均线(EMA)、加权移动平均线(WMA)等。然后设定一个公差水平,比如5%,并计算出上轨(移动平均线的1.05倍)和下轨(移动平均线的0.95倍)。当价格收盘价上穿上轨时,产生买入信号;当价格收盘价下穿下轨时,产生卖出信号。这样可以过滤掉部分假突破。另外,该策略提供了一个布尔参数“短线操作”,启用这个参数后,只产生卖出信号,看空使用。
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## 策略优势
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- 利用移动平均线的趋势跟踪特性,能够有效跟踪价格走势
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- 提供多种移动平均线类型,可以灵活组合使用
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- 公差参数可以过滤假突破,避免不必要的交易
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- 可仅做空,适用于跟踪下跌趋势
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## 策略风险
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- 移动平均线具有滞后性,可能错过价格转折点
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- 不适用于价格震荡盘整的市场环境
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- 公差参数设置不当可能过滤掉部分有效信号
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- 做空风险较大,需审慎操作
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## 优化方向
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- 优化移动平均线的类型和长度参数
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- 测试不同的公差参数设置
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- 结合其他指标过滤信号
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- 增加仓位管理策略
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## 总结
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该策略整体来说是一个较为典型的趋势跟踪策略。它使用价格与移动平均线的关系来判断趋势,并且提供了一定的灵活性。通过参数优化和适当的信号过滤,它可以成为一个效果不错的量化策略。但需要注意控制做空的风险,避免亏损过大。
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## Overview
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This strategy generates buy and sell signals based on the crossing of price with a moving average. It provides various types of moving averages and a tolerance parameter to filter false breakouts. The strategy aims to capture turning points in price trends for trend following.
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## Strategy Logic
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The strategy calculates a length N moving average based on the closing price. Typical moving average types include Simple Moving Average (SMA), Exponential Moving Average (EMA), Weighted Moving Average (WMA) etc. Then a tolerance level is set, e.g. 5%, and upper band (1.05 times moving average) and lower band (0.95 times moving average) are calculated. When closing price crosses above upper band, a buy signal is generated. When closing price crosses below lower band, a sell signal is generated. This helps filter some false breakouts. Also, a Boolean parameter "Short Only" is provided. When enabled, only sell signals are generated for shorting the market.
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## Advantages
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- Effectively follows price trends using moving average's trend following characteristics
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- Provides various moving average types for flexible combinations
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- Tolerance parameter helps filter false breakouts and avoid unnecessary trades
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- Can go short only, suitable for catching downward trends
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## Risks
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- Moving averages have lagging effect, may miss price turning points
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- Not suitable for range-bound market environments
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- Improper tolerance parameter settings may filter valid signals
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- Going short has higher risks, need prudent operations
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## Optimization Directions
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- Optimize moving average type and length parameters
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- Test different tolerance parameter settings
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- Add other indicators to filter signals
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- Employ position sizing strategies
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## Conclusion
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Overall this is a typical trend following strategy. It uses the relationship between price and moving average to determine trends, with some flexibility. Through parameter optimization and proper signal filtering, it can become a decent quant strategy. But controlling downside risks when shorting is important to avoid excessive losses.
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[/trans]
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> Strategy Arguments
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|Argument|Default|Description|
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|----|----|----|
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|v_input_1|0|MA Type: HMA|EMA|WMA|SMA|VWMA|RMA|TEMA|
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|v_input_2|100|Length|
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|v_input_3_close|0|Source: close|high|low|open|hl2|hlc3|hlcc4|ohlc4|
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|v_input_4|false|Tolerance (%)|
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|v_input_5|false|Short only|
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> Source (PineScript)
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``` pinescript
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/*backtest
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start: 2023-12-26 00:00:00
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end: 2024-01-25 00:00:00
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period: 1h
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basePeriod: 15m
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exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
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*/
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// This source code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/
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// © RafaelPiccolo
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//@version=4
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strategy("Price X MA Cross", overlay=true)
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typ = input("HMA", "MA Type", options=["SMA", "EMA", "WMA", "HMA", "VWMA", "RMA", "TEMA"])
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len = input(100, minval=1, title="Length")
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src = input(close, "Source", type=input.source)
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tol = input(0, minval=0, title="Tolerance (%)", type=input.float)
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shortOnly = input(false, "Short only")
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tema(src, len)=>
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ema1 = ema(src, len)
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ema2 = ema(ema1, len)
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ema3 = ema(ema2, len)
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return = 3 * (ema1 - ema2) + ema3
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getMAPoint(type, len, src)=>
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return = type == "SMA" ? sma(src, len) : type == "EMA" ? ema(src, len) : type == "WMA" ? wma(src, len) : type == "HMA" ? hma(src, len) : type == "VWMA" ? vwma(src, len) : type == "RMA" ? rma(src, len) : tema(src, len)
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ma = getMAPoint(typ, len, src)
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upperTol = ma * (1 + tol/100)
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lowerTol = ma * (1 - tol/100)
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longCondition = crossover(close, upperTol)
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shortCondition = crossunder(close, lowerTol)
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if (shortCondition)
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strategy.entry("Short", strategy.short)
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if (longCondition)
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if (shortOnly)
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strategy.close("Short")
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else
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strategy.entry("Long", strategy.long)
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plot(ma, "Moving Average", close > ma ? color.green : color.red, linewidth = 2)
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t1 = plot(tol > 0 ? upperTol : na, transp = 70)
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t2 = plot(tol > 0 ? lowerTol : na, transp = 70)
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fill(t1, t2, color = tol > 0 ? color.blue : na)
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```
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> Detail
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https://www.fmz.com/strategy/440090
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> Last Modified
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2024-01-26 15:18:29
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