Strategies
基于形态反转和MACD指标的组合交易策略Combo-Trading-Strategy-Based-on-123-Reversal-and-MACD
ChaoZhang · PineScript · Trend Following · 2023-09-19 17:17:30
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Sizing
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Risk control
Exit
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Context terms
Overview
This strategy combines 123 reversal patterns and MACD indicators to generate stronger trade signals through filtering. 123 reversals capture short-term reversal opportunities while MACD provides mid-long term trend guidance. The combo signal can effectively discover high probability trade setups.
Principle
- 123 reversal strategy buys when the last two days were down days and today's close is up, with Stochastic below threshold; sells when last two days were up days and today is down, with Stochastic above threshold.
- MACD strategy goes long when fast MA is above slow MA, and short when fast MA is below slow MA.
- Trades are taken only when both strategies agree, otherwise no action is taken. Trade direction can be switched.
Advantages
Main advantages:
- Combo signal effectively filters false breakouts, improving win rate.
- 123 captures short-term reversals, MACD judges mid-long term trend direction.
- Stochastic with 123 avoids over-trading after trend reversal.
- Two strategies share different tasks, mutually validating, avoiding over-optimization.
- Easily switch between long/short, adaptable to various market environments.
Risks
Main risks:
- Combo signal may be too conservative, missing good opportunities.
- Reversals are susceptible to sudden events, prone to failure.
- Lack of stop loss exposes strategy to large losses.
- Double filtering may cause missing trend trades.
- Lack of parameter optimization, default values may not fit all instruments.
Optimization
Improvements:
- Test different parameter combinations to find optimal values.
- Add stop loss to control loss per trade.
- Incorporate more filter indicators to improve signal quality.
- Introduce machine learning models for automatic parameter optimization.
- Test across more trading instruments to evaluate robustness.
- Switch parameter sets based on market conditions.
Summary
Overall, combining dual signals avoids over-optimization compared to single strategies. With additions like more filters, stop losses and so on, it can become a robust and practical quantitative trading strategy. [/trans]
Parameters
| Parameters | Default | Description |
|---|---|---|
| v_input_1 | 14 | Length |
| v_input_2 | true | KSmoothing |
| v_input_3 | 3 | DLength |
| v_input_4 | 50 | Level |
| v_input_5 | 14 | r |
| v_input_6 | 21 | LengthMACD |
| v_input_7 | 5 | SmthLen |
| v_input_8 | false | Trade reverse |
Source code (90 lines)
/*backtest
start: 2023-09-11 00:00:00
end: 2023-09-14 02:00:00
period: 30m
basePeriod: 15m
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/
//@version=4
////////////////////////////////////////////////////////////
// Copyright by HPotter v1.0 24/07/2020
// This is combo strategies for get a cumulative signal.
//
// First strategy
// This System was created from the Book "How I Tripled My Money In The
// Futures Market" by Ulf Jensen, Page 183. This is reverse type of strategies.
// The strategy buys at market, if close price is higher than the previous close
// during 2 days and the meaning of 9-days Stochastic Slow Oscillator is lower than 50.
// The strategy sells at market, if close price is lower than the previous close price
// during 2 days and the meaning of 9-days Stochastic Fast Oscillator is higher than 50.
//
// Second strategy
// This is one of the techniques described by William Blau in his book
// "Momentum, Direction and Divergence" (1995). If you like to learn more,
// we advise you to read this book. His book focuses on three key aspects
// of trading: momentum, direction and divergence. Blau, who was an electrical
// engineer before becoming a trader, thoroughly examines the relationship
// between price and momentum in step-by-step examples. From this grounding,
// he then looks at the deficiencies in other oscillators and introduces some
// innovative techniques, including a fresh twist on Stochastics. On directional
// issues, he analyzes the intricacies of ADX and offers a unique approach to help
// define trending and non-trending periods.
// Blau`s indicator is like usual MACD, but it plots opposite of meaningof
// stndard MACD indicator.
//
// WARNING:
// - For purpose educate only
// - This script to change bars colors.
////////////////////////////////////////////////////////////
Reversal123(Length, KSmoothing, DLength, Level) =>
vFast = sma(stoch(close, high, low, Length), KSmoothing)
vSlow = sma(vFast, DLength)
pos = 0.0
pos := iff(close[2] < close[1] and close > close[1] and vFast < vSlow and vFast > Level, 1,
iff(close[2] > close[1] and close < close[1] and vFast > vSlow and vFast < Level, -1, nz(pos[1], 0)))
pos
fADX(Len) =>
up = change(high)
down = -change(low)
trur = rma(tr, Len)
plus = fixnan(100 * rma(up > down and up > 0 ? up : 0, Len) / trur)
minus = fixnan(100 * rma(down > up and down > 0 ? down : 0, Len) / trur)
sum = plus + minus
100 * rma(abs(plus - minus) / (sum == 0 ? 1 : sum), Len)
EMACD(r,SmthLen,LengthMACD) =>
pos = 0
source = close
fastMA = ema(source, r)
slowMA = ema(source, LengthMACD)
xmacd = fastMA - slowMA
xMA_MACD = ema(xmacd, SmthLen)
pos := iff(xmacd < xMA_MACD, -1,
iff(xmacd > xMA_MACD, 1, nz(pos[1], 0)))
pos
strategy(title="Combo Backtest 123 Reversal & Ergodic MACD", shorttitle="Combo", overlay = true)
Length = input(14, minval=1)
KSmoothing = input(1, minval=1)
DLength = input(3, minval=1)
Level = input(50, minval=1)
//-------------------------
r = input(14, minval=1)
LengthMACD = input(21, minval=1)
SmthLen = input(5, minval=1)
reverse = input(false, title="Trade reverse")
posReversal123 = Reversal123(Length, KSmoothing, DLength, Level)
posEMACD = EMACD(r,SmthLen,LengthMACD)
pos = iff(posReversal123 == 1 and posEMACD == 1 , 1,
iff(posReversal123 == -1 and posEMACD == -1, -1, 0))
possig = iff(reverse and pos == 1, -1,
iff(reverse and pos == -1 , 1, pos))
if (possig == 1)
strategy.entry("Long", strategy.long)
if (possig == -1)
strategy.entry("Short", strategy.short)
if (possig == 0)
strategy.close_all()
barcolor(possig == -1 ? #b50404: possig == 1 ? #079605 : #0536b3 )