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strategies/一目均衡移动平均趋势追踪策略Ichimoku-Backtester-with-TP-SL-and-Cloud-Confirmation.md
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Name

一目均衡移动平均趋势追踪策略Ichimoku-Backtester-with-TP-SL-and-Cloud-Confirmation

Author

ChaoZhang

Strategy Description

IMG [trans]

概述

这是一个基于一目均衡移动平均线的趋势追踪策略。它融合了均线、川Fusion一目均衡移动平均线及精准入场出场机制,旨在提高盈利率。

策略原理

该策略主要通过计算最后一个交易日的收盘价及用户定义的输入参数,构建出一目均衡移动平均线。当价格上涨突破均线时,做多;当价格下跌突破均线时,做空。并设定止损止盈价格,在达到条件时止损或止盈。

同时,该策略增加了一目均衡移动平均线颜色判定的云确认机制。只有当一目均衡移动平均线颜色为绿色时才做多,颜色为红色时才做空,这可以过滤掉部分不精准的信号,提高策略获利概率。

优势分析

该策略最大的优势在于结合了均线和一目均衡移动平均线两个指标的优点,既考虑了价格平均线的整体走势,又关注最后一个交易日收盘价的分量变动。此外,云确认机制也可避免交易假信号,从而提高策略稳定性。

在参数优化方面,止损止盈设置也让该策略风险可控。最后,一目均衡移动平均线作为较新的技术指标,许多人还不熟悉,这为该策略应用带来先发优势。

风险分析

该策略最大的风险在于一目均衡移动平均线本身的不稳定性。作为新的指标,它的长期有效性和 parameter 优化空间都有待商榷。如果模型假设失效,则会产生大量错误信号。

此外,任何追踪趋势的策略都面临着趋势反转的风险。当价格突破均线但很快调头时,该策略就会遭遇较大亏损。所以,止损点的设置十分关键。

优化方向

该策略可通过以下方式获得进一步优化:

  1. 对一目均衡移动平均线的 length 参数进行优化,找到最佳平衡点。

  2. 测试不同的止损止盈参数设置,确定最优参数组合。过大的止盈幅度会限制收益上限,过小的止损幅度则风险过大。

  3. 增加其他技术指标判断,例如 MACD、KD 等,形成多指标共识,进一步避免错误信号。

  4. 对不同品种、周期进行回测,确定最佳策略适用场景。

  5. 考虑加入机器学习模型,实现参数的动态优化和策略的自适应调整。

总结

本策略整合均线和一目均衡移动平均线的优势,设置合理的止损止盈,并增加云确认机制,可有效追踪趋势,控制风险。该策略可广泛应用于股指、外汇、商品及加密货币等品种,是一套值得推荐的量化策略。

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Overview

This is an Ichimoku backtesting strategy with take profit, stop loss and cloud confirmation. It aims to improve profitability by precisely capturing trends using the Ichimoku indicator.

Strategy Logic

The core of this strategy is constructing the Ichimoku components based on user input parameters - Tenkan-Sen, Kijun-Sen, Senkou Span A & B and Chikou Span. It identifies bullish (long) and bearish (short) signals when price crosses these equilibrium lines.

In addition, it implements stop loss and take profit based on entry price to manage risk & reward. There is also an option to wait for cloud confirmation, i.e. Senkou Span A > B for longs and Senkou Span A < B for shorts. This helps avoid false breakouts.

Advantages

The main advantages of this strategy are three-fold:

  1. Ichimoku is good at identifying trends and momentum. The equilibrium lines provide solid support and resistance areas.

  2. The stop loss and take profit features maximize reward while minimizing risk. This optimizes the risk-return profile.

  3. Cloud confirmation filters out false signals, ensuring high-probability entries. This enhances profitability.

Risks

However, there are also a few key risks to consider:

  1. Ichimoku is prone to whipsaws during range-bound markets with no clear trend. Lots of stops may be hit.

  2. The cloud is a lagging indicator. By the time there is cloud confirmation, much of the move may have occurred already.

  3. Optimizing stop loss and take profit levels is challenging and sensitive. Suboptimal parameters may result in more losses.

Enhancements

Some ways this strategy can be improved:

  1. Combine Ichimoku with leading indicators like RSI for additional confirmation and early entry.

  2. Adaptively adjust stop loss and take profit based on volatility instead of using fixed percentages.

  3. Test optimal parameters across various assets and timeframes to identify best setups for strategy.

  4. Incorporate machine learning to continually optimize parameters and strategy rules based on updated data.

Conclusion

This is a solid Ichimoku system with good trend capture and risk management features. With some enhancements, it can be an excellent addition to overall trading approach. It works well across forex, commodities and cryptocurrency markets.

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Strategy Arguments

Argument Default Description
v_input_1 9 Tenkan-Sen Bars
v_input_2 26 Kijun-Sen Bars
v_input_3 52 Senkou-Span B Bars
v_input_4 26 Chikou-Span Offset
v_input_5 26 Senkou-Span Offset
v_input_6 true Long Entry
v_input_7 true Short Entry
v_input_8 true Wait for Cloud Confirmation
v_input_9 true Use Short Stop Loss
v_input_10 5 Short Stop Loss (%)
v_input_11 true Use Long Stop Loss
v_input_12 5 Long Stop Loss (%)
v_input_13 true Use Short Take Profit
v_input_14 20 Short Take Profit (%)
v_input_15 true Use Long Take Profit
v_input_16 20 Long Take Profit (%)
v_input_17 false Show Date Range
v_input_18 true From Month
v_input_19 true From Day
v_input_20 2020 From Year
v_input_21 true Thru Month
v_input_22 true Thru Day
v_input_23 2112 Thru Year

Source (PineScript)

/*backtest
start: 2022-11-17 00:00:00
end: 2023-11-23 00:00:00
period: 1d
basePeriod: 1h
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/

strategy("Ichimoku Backtester with TP and SL", overlay=true, 
     currency = currency.USD, default_qty_type = strategy.percent_of_equity, 
     default_qty_value = 95)
//@version=4

//Inputs
ts_bars = input(9, minval=1, title="Tenkan-Sen Bars")
ks_bars = input(26, minval=1, title="Kijun-Sen Bars")
ssb_bars = input(52, minval=1, title="Senkou-Span B Bars")
cs_offset = input(26, minval=1, title="Chikou-Span Offset")
ss_offset = input(26, minval=1, title="Senkou-Span Offset")
long_entry = input(true, title="Long Entry")
short_entry = input(true, title="Short Entry")

wait_for_cloud = input(true, title="Wait for Cloud Confirmation")

use_short_stop_loss = input(true, title="Use Short Stop Loss")
short_stop_loss = input(title="Short Stop Loss (%)", type=input.float, minval=0.0, step=0.1, 
     defval=5) * 0.01
use_long_stop_loss = input(true, title="Use Long Stop Loss")
long_stop_loss = input(title="Long Stop Loss (%)", type=input.float, minval=0.0, step=0.1, 
     defval=5) * 0.01
     
use_short_take_profit = input(true, title="Use Short Take Profit")
short_take_profit = input(title="Short Take Profit (%)", type=input.float, minval=0.0, step=0.1,
     defval = 20) * .01
use_long_take_profit = input(true, title="Use Long Take Profit")
long_take_profit = input(title="Long Take Profit (%)", type=input.float, minval=0.0, step=0.1,
     defval = 20) * .01

// === INPUT SHOW PLOT ===
showDate  = input(defval = false, title = "Show Date Range", type = input.bool)

// === INPUT BACKTEST RANGE ===
fromMonth = input(defval = 1,    title = "From Month",      type = input.integer, minval = 1, maxval = 12)
fromDay   = input(defval = 1,    title = "From Day",        type = input.integer, minval = 1, maxval = 31)
fromYear  = input(defval = 2020, title = "From Year",       type = input.integer, minval = 1970)
thruMonth = input(defval = 1,    title = "Thru Month",      type = input.integer, minval = 1, maxval = 12)
thruDay   = input(defval = 1,    title = "Thru Day",        type = input.integer, minval = 1, maxval = 31)
thruYear  = input(defval = 2112, title = "Thru Year",       type = input.integer, minval = 1970)



// === FUNCTION EXAMPLE ===
start     = timestamp(fromYear, fromMonth, fromDay, 00, 00)        // backtest start window
finish    = timestamp(thruYear, thruMonth, thruDay, 23, 59)        // backtest finish window
window()  => time >= start and time <= finish ? true : false       // create function "within window of time"

middle(len) => avg(lowest(len), highest(len))

// Ichimoku Components
tenkan = middle(ts_bars)
kijun = middle(ks_bars)
senkouA = avg(tenkan, kijun)
senkouB = middle(ssb_bars)

bgcolor(color = showDate and window() ? color.gray : na, transp = 90)  // plot within time window

// Plot Ichimoku Kinko Hyo
plot(tenkan, color=#0496ff, title="Tenkan-Sen")
plot(kijun, color=#991515, title="Kijun-Sen")
plot(close, offset=-cs_offset+1, color=#459915, title="Chikou-Span")
sa=plot(senkouA, offset=ss_offset-1, color=color.green, title="Senkou-Span A")
sb=plot(senkouB, offset=ss_offset-1, color=color.red, title="Senkou-Span B")
fill(sa, sb, color = senkouA > senkouB ? color.green : color.red, title="Cloud color")

ss_high = max(senkouA[ss_offset-1], senkouB[ss_offset-1])
ss_low = min(senkouA[ss_offset-1], senkouB[ss_offset-1])

// Entry/Exit Signals
tk_cross_bull = tenkan > kijun
tk_cross_bear = tenkan < kijun
cs_cross_bull = mom(close, cs_offset-1) > 0
cs_cross_bear = mom(close, cs_offset-1) < 0
price_above_kumo = close > ss_high
price_below_kumo = close < ss_low
senkou_green = senkouA > senkouB ? true : false

bullish = tk_cross_bull and cs_cross_bull and price_above_kumo
bearish = tk_cross_bear and cs_cross_bear and price_below_kumo

if (wait_for_cloud)
    bullish := bullish and senkou_green
    bearish := bearish and not senkou_green

longStopPrice  = strategy.position_avg_price * (1 - long_stop_loss)
shortStopPrice = strategy.position_avg_price * (1 + short_stop_loss)
longLimitPrice = strategy.position_avg_price * (1 + long_take_profit)
shortLimitPrice = strategy.position_avg_price * (1 - short_take_profit)

in_long = false
in_long := in_long[1]


open_long = bullish and not in_long
open_short = bearish and in_long


if (open_long)
    in_long := true
if (open_short)
    in_long := false

strategy.entry("Long", strategy.long, when=open_long and long_entry and  (showDate ? window() : true))
strategy.entry("Short", strategy.short ,when=open_short and short_entry and (showDate ? window() : true))

if (strategy.position_size > 0.0)
    if (use_long_stop_loss and not use_long_take_profit)
        strategy.exit("Long", stop = longStopPrice)
    if (use_long_take_profit and not use_long_stop_loss)
        strategy.exit("Long", limit = longLimitPrice)
    if (use_long_take_profit and use_long_stop_loss)
        strategy.exit("Long", stop = longStopPrice, limit=longLimitPrice)
if (strategy.position_size < 0.0)
    if (use_short_stop_loss and not use_short_take_profit)
        strategy.exit("Short", stop = shortStopPrice)
    if (use_short_take_profit and not use_short_stop_loss)
        strategy.exit("Short", limit = shortLimitPrice)
    if (use_short_take_profit and use_short_stop_loss)
        strategy.exit("Short", stop = shortStopPrice, limit = shortLimitPrice)

strategy.close("Long", when=bearish and not short_entry and (showDate ? window() : true))
strategy.close("Short", when=bullish and not long_entry and (showDate ? window() : true))

Detail

https://www.fmz.com/strategy/433148

Last Modified

2023-11-24 17:32:47

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