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strategies/形态预测策略Hammer-and-Shooting-Star-Pattern-Trading-Strategy.md
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Name

形态预测策略Hammer-and-Shooting-Star-Pattern-Trading-Strategy

Author

ChaoZhang

Strategy Description

[trans]

概述

形态预测策略利用蜡烛图形态来判断未来价格走势,在交易界广泛使用。该策略通过识别锤子线和射击之星两种简单形态来捕捉趋势反转机会。

策略原理

该策略主要基于以下原理:

  1. 利用ATR指标识别趋势强弱,过滤掉震荡市场。ATR值小于设置的最小阈值或大于最大阈值时才会考虑交易。

  2. 计算当前K线的33.3%费波那契回撤线。若收盘价高于该线则认为属于锤子线,若收盘价低于该线则认为属于射击之星。

  3. 对识别出的形态进行额外确认,要求形态完成(实体部分高于或低于开盘价),且为未确认的K线。

  4. 入场后设置止损和止盈,止损为ATR的一定倍数,止盈为止损的风险回报倍数。

该策略利用ATR指标和费波那契技术识别锤子线和射击之星形态,同时设置风险控制指标,符合趋势交易的一般原理。

优势分析

该策略具有以下优势:

  1. 原理简单明了,容易理解实现。

  2. 利用日内短期形态,无需长时间等待持仓,灵活性强。

  3. ATR参数设置控制了过大行情的风险。可针对不同品种分别优化参数。

  4. 结合风险回报比设定合理止盈止损点,风险可控。

  5. 自动化交易信号直接连接止损平仓,操作简便。

  6. 可适用于多种品种,具有普适性。

风险分析

该策略也存在一些风险:

  1. 形态交易存在一定的误判率,不可完全依赖。

  2. 未考虑交易手续费,实际盈利空间更小。

  3. 日内短线交易可能增加交易频率和滑点成本。

  4. ATR参数优化依赖历史数据,无法保证参数永远适用。

  5. 自动下单存在发单失败风险,应设置重试机制。

  6. 止盈止损设置不当可能导致超赎过多或过少。

优化方向

该策略可考虑以下几个方向进行优化:

  1. 增加其他过滤条件,如交易量,提高形态有效率。

  2. 考虑手续费设置,优化止盈止损点。

  3. 动态优化ATR参数,使之适应不同行情周期。

  4. 评估每对交易品种的parameter,设定个性化参数。

  5. 增加自动重试机制,降低下单风险。

  6. 利用机器学习提高形态识别准确率。

  7. 添加止损追踪,锁定更多利润。

总结

总而言之,该交易策略整合常用的技术指标,原理简单易于理解和实施。在参数优化和风险控制到位的情况下,可望获得稳定收益。但交易者仍需注意风险,保持 trades 数量适中,避免过度激进。本策略为基础型策略,可在其基础上进行扩展创新,将交易效果提升到新的高度。

||

Overview

This trading strategy utilizes candlestick patterns to predict future price movement. Hammers and shooting stars are simple yet powerful patterns used widely for catching trend reversals. This strategy identifies these two patterns to capitalize on turning points in the market.

Strategy Logic

The strategy is based on the following core principles:

  1. ATR indicator filters out non-trending markets by requiring the candle size to be within a set range of ATR values.

  2. The 33.3% Fibonacci retracement level marks the point that distinguishes a hammer (closes above) from a shooting star (closes below).

  3. Extra confirmation requires the pattern to complete (closing price above/below open) on an unconfirmed bar.

  4. Stop loss and take profit levels are set based on ATR and a risk/reward ratio upon entry.

By combining ATR, Fibonacci, and pattern recognition, the strategy adheres to common tenets of trend trading.

Advantage Analysis

The key advantages of this strategy are:

  1. Simple logic makes it easy to understand and implement.

  2. Trading off short-term intraday patterns allows flexible holding periods.

  3. ATR filters help control risk in volatile markets. Parameters can be optimized separately for each instrument.

  4. Intelligent stop loss and take profit points based on a risk/reward ratio control risk effectively.

  5. Automated trade signals streamline entry and position management.

  6. Applicable cross-market to many currency pairs demonstrates robustness.

Risk Analysis

There are also several risks to consider:

  1. Pattern trading has a probability of false signals that should not be blindly trusted.

  2. Trading costs like commissions are unaccounted for, eating into actual profits.

  3. Increased trade frequency from short-term intraday trading may incur more slippage costs.

  4. Optimized ATR parameters rely on historical data and may not always remain applicable.

  5. Auto-trading risks failed order execution and should implement a retry mechanism.

  6. Poor stop loss and take profit settings could lead to over-trading or leaving money on the table.

Optimization Opportunities

Some ways to potentially improve the strategy:

  1. Additional filters like volume to increase pattern effectiveness.

  2. Incorporate commissions into stop and target tuning.

  3. Dynamically optimize ATR parameters to fit changing market conditions.

  4. Evaluate performance of parameters individually for each currency pair.

  5. Add auto-retry mechanisms to reduce failed order execution risk.

  6. Utilize machine learning models to better identify valid patterns.

  7. Introduce a trailing stop mechanism to lock in more profits.

Conclusion

In summary, this trading strategy integrates commonly used technical indicators with simple logic for straightforward implementation. With robust parameter optimization and risk control, it has potential for consistent profitability. However, traders should remain vigilant of risks and keep trade frequency reasonable to avoid over-trading. The strategy serves as a basic framework for further innovation to reach new levels of trading performance.

[/trans]

Strategy Arguments

Argument Default Description
v_input_1 false (?Strategy Settings)>= ATR Filter
v_input_2 3 <= ATR Filter
v_input_3 true Stop Loss ATR
v_input_4 true R:R
v_input_5 0.333 Fib Level
v_input_6 timestamp(01 Jan 2000 13:30 +0000) Start Date Filter
v_input_7 timestamp(1 Jan 2099 19:30 +0000) End Date Filter
v_input_8 false (?AutoView Oanda Settings)Use Oanda Demo?
v_input_9 true Use Limit Order?
v_input_10 2 Days To Leave Limit Order
v_input_11 1000 Account Balance
v_input_12 0 Account Currency: USD
v_input_13 2 Risk Per Trade %

Source (PineScript)

/*backtest
start: 2023-08-28 00:00:00
end: 2023-09-27 00:00:00
period: 2h
basePeriod: 15m
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/

// This source code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/
// © ZenAndTheArtOfTrading / PineScriptMastery
// Last Updated: 28th April, 2021
// @version=4
strategy("Hammers & Stars Strategy [v1.0]", shorttitle="HSS[v1.0]", overlay=true)

// Get user input
atrMinFilterSize = input(title=">= ATR Filter", type=input.float, defval=0.0, minval=0.0, tooltip="Minimum size of entry candle compared to ATR", group="Strategy Settings")
atrMaxFilterSize = input(title="<= ATR Filter", type=input.float, defval=3.0, minval=0.0, tooltip="Maximum size of entry candle compared to ATR", group="Strategy Settings")
stopMultiplier   = input(title="Stop Loss ATR", type=input.float, defval=1.0, tooltip="Stop loss multiplier (x ATR)", group="Strategy Settings")
rr               = input(title="R:R", type=input.float, defval=1.0, tooltip="Risk:Reward profile", group="Strategy Settings")
fibLevel         = input(title="Fib Level", type=input.float, defval=0.333, tooltip="Used to calculate upper/lower third of candle. (For example, setting it to 0.5 will mean hammers must close >= 50% mark of the total candle size)", group="Strategy Settings")
i_startTime      = input(title="Start Date Filter", defval=timestamp("01 Jan 2000 13:30 +0000"), type=input.time, tooltip="Date & time to begin trading from", group="Strategy Settings")
i_endTime        = input(title="End Date Filter", defval=timestamp("1 Jan 2099 19:30 +0000"), type=input.time, tooltip="Date & time to stop trading", group="Strategy Settings")
oandaDemo        = input(title="Use Oanda Demo?", type=input.bool, defval=false, tooltip="If turned on then oandapractice broker prefix will be used for AutoView alerts (demo account). If turned off then live account will be used", group="AutoView Oanda Settings")
limitOrder       = input(title="Use Limit Order?", type=input.bool, defval=true, tooltip="If turned on then AutoView will use limit orders. If turned off then market orders will be used", group="AutoView Oanda Settings")
gtdOrder         = input(title="Days To Leave Limit Order", type=input.integer, minval=0, defval=2, tooltip="This is your GTD setting (good til day)", group="AutoView Oanda Settings")
accountBalance   = input(title="Account Balance", type=input.float, defval=1000.0, step=100, tooltip="Your account balance (used for calculating position size)", group="AutoView Oanda Settings")
accountCurrency  = input(title="Account Currency", type=input.string, defval="USD", options=["AUD", "CAD", "CHF", "EUR", "GBP", "JPY", "NZD", "USD"], tooltip="Your account balance currency (used for calculating position size)", group="AutoView Oanda Settings")
riskPerTrade     = input(title="Risk Per Trade %", type=input.float, defval=2.0, step=0.5, tooltip="Your risk per trade as a % of your account balance", group="AutoView Oanda Settings")

// Set up AutoView broker prefix
var broker = oandaDemo ? "oandapractice" : "oanda"

// See if this bar's time happened within date filter
dateFilter = true

// Get ATR
atr = atr(14)

// Check ATR filter
atrMinFilter = abs(high - low) >= (atrMinFilterSize * atr) or atrMinFilterSize == 0.0
atrMaxFilter = abs(high - low) <= (atrMaxFilterSize * atr) or atrMaxFilterSize == 0.0
atrFilter = atrMinFilter and atrMaxFilter

// Calculate 33.3% fibonacci level for current candle
bullFib = (low - high) * fibLevel + high
bearFib = (high - low) * fibLevel + low

// Determine which price source closes or opens highest/lowest
lowestBody = close < open ? close : open
highestBody = close > open ? close : open

// Determine if we have a valid setup
validHammer = lowestBody >= bullFib and atrFilter and close != open and not na(atr)
validStar = highestBody <= bearFib and atrFilter and close != open and not na(atr)

// Check if we have confirmation for our setup
validLong = validHammer and strategy.position_size == 0 and dateFilter and barstate.isconfirmed
validShort = validStar and strategy.position_size == 0 and dateFilter and barstate.isconfirmed

//------------- DETERMINE POSITION SIZE -------------//
// Get account inputs
var tradePositionSize = 0.0
var pair = syminfo.basecurrency + "/" + syminfo.currency

// Check if our account currency is the same as the base or quote currency (for risk $ conversion purposes)
accountSameAsCounterCurrency = accountCurrency == syminfo.currency
accountSameAsBaseCurrency = accountCurrency == syminfo.basecurrency

// Check if our account currency is neither the base or quote currency (for risk $ conversion purposes)
accountNeitherCurrency = not accountSameAsCounterCurrency and not accountSameAsBaseCurrency

// Get currency conversion rates if applicable
conversionCurrencyPair = accountSameAsCounterCurrency ? syminfo.tickerid : accountNeitherCurrency ? accountCurrency + syminfo.currency : accountCurrency + syminfo.currency
conversionCurrencyRate = security(symbol=syminfo.type == "forex" ? "BTC_USDT:swap" : "BTC_USDT:swap", resolution="D", expression=close)

// Calculate position size
getPositionSize(stopLossSizePoints) =>
    riskAmount = (accountBalance * (riskPerTrade / 100)) * (accountSameAsBaseCurrency or accountNeitherCurrency ? conversionCurrencyRate : 1.0)
    riskPerPoint = (stopLossSizePoints * syminfo.pointvalue)
    positionSize = (riskAmount / riskPerPoint) / syminfo.mintick
    round(positionSize)
    
// Custom function to convert pips into whole numbers
toWhole(number) =>
    return = atr(14) < 1.0 ? (number / syminfo.mintick) / (10 / syminfo.pointvalue) : number
    return := atr(14) >= 1.0 and atr(14) < 100.0 and syminfo.currency == "JPY" ? return * 100 : return
//------------- END POSITION SIZE CODE -------------//

// Calculate our stop distance & size for the current bar
stopSize = atr * stopMultiplier
longStopPrice = low < low[1] ? low - stopSize : low[1] - stopSize
longStopDistance = close - longStopPrice
longTargetPrice = close + (longStopDistance * rr)
shortStopPrice = high > high[1] ? high + stopSize : high[1] + stopSize
shortStopDistance = shortStopPrice - close
shortTargetPrice = close - (shortStopDistance * rr)

// Save trade stop & target & position size if a valid setup is detected
var tradeStopPrice = 0.0
var tradeTargetPrice = 0.0

// Set up our GTD (good-til-day) order info
gtdTime = time + (gtdOrder * 1440 * 60 * 1000) // 86,400,000ms per day
gtdYear = year(gtdTime)
gtdMonth = month(gtdTime)
gtdDay = dayofmonth(gtdTime)
gtdString = " dt=" + tostring(gtdYear) + "-" + tostring(gtdMonth) + "-" + tostring(gtdDay)

// Detect valid long setups & trigger alert
if validLong
    tradeStopPrice := longStopPrice
    tradeTargetPrice := longTargetPrice
    tradePositionSize := getPositionSize(toWhole(longStopDistance) * 10)
    // Trigger AutoView long alert
    alert(message="e=" + broker + " b=long q="
     + tostring(tradePositionSize) 
     + " s=" + pair
     + " t=" + (limitOrder ? "limit fp=" + tostring(close) : "market")
     + " fsl=" + tostring(tradeStopPrice)
     + " ftp=" + tostring(tradeTargetPrice)
     + (gtdOrder != 0 and limitOrder ? gtdString : ""), 
     freq=alert.freq_once_per_bar_close)
   
// Detect valid short setups & trigger alert
if validShort
    tradeStopPrice := shortStopPrice
    tradeTargetPrice := shortTargetPrice
    tradePositionSize := getPositionSize(toWhole(shortStopDistance) * 10)
    // Trigger AutoView short alert
    alert(message="e=" + broker + " b=short q="
     + tostring(tradePositionSize)
     + " s=" + pair
     + " t=" + (limitOrder ? "limit fp=" + tostring(close) : "market")
     + " fsl=" + tostring(tradeStopPrice)
     + " ftp=" + tostring(tradeTargetPrice)
     + (gtdOrder != 0 and limitOrder ? gtdString : ""),
     freq=alert.freq_once_per_bar_close)

// Enter trades whenever a valid setup is detected
strategy.entry(id="Long", long=strategy.long, when=validLong)
strategy.entry(id="Short", long=strategy.short, when=validShort)

// Exit trades whenever our stop or target is hit
strategy.exit(id="Long Exit", from_entry="Long", limit=tradeTargetPrice, stop=tradeStopPrice, when=strategy.position_size > 0)
strategy.exit(id="Short Exit", from_entry="Short", limit=tradeTargetPrice, stop=tradeStopPrice, when=strategy.position_size < 0)

// Draw trade data
plot(strategy.position_size != 0 or validLong or validShort ? tradeStopPrice : na, title="Trade Stop Price", color=color.red, style=plot.style_linebr, transp=0)
plot(strategy.position_size != 0 or validLong or validShort ? tradeTargetPrice : na, title="Trade Target Price", color=color.green, style=plot.style_linebr, transp=0)
plot(strategy.position_size != 0 or validLong or validShort ? tradePositionSize : na, color=color.purple, transp=100, title="AutoView Position Size")

// Draw price action setup arrows
plotshape(validLong ? 1 : na, style=shape.triangleup, location=location.belowbar, color=color.green, title="Bullish Setup")
plotshape(validShort ? 1 : na, style=shape.triangledown, location=location.abovebar, color=color.red, title="Bearish Setup")

Detail

https://www.fmz.com/strategy/428056

Last Modified

2023-09-28 11:11:35

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