
A estratégia é uma estratégia de dupla reversão, que combina o indicador de reversão 123 e o indicador quântico CMOWMA para realizar a dupla confirmação do sinal de reversão de preço, com um efeito visual de linha K de cor vermelho-verde.
A estratégia é composta por duas partes:
123 Indicadores de inversão
Índice quântico CMOWMA
As duas partes do sinal entram em posição simultânea.
Pode-se reduzir o risco por meio de medidas como a flexibilização adequada das condições de reversão, o aumento do tempo de detenção e a otimização do conjunto de parâmetros.
A estratégia é robusta em geral, com parâmetros simples e fáceis de implementar, e combina a inversão de preços e o indicador de dinâmica, formando um mecanismo de filtragem de duplo sinal eficaz, que pode filtrar os falsos sinais, e o efeito de coloração da linha K é intuitivo. A otimização dos parâmetros e o controle de risco podem melhorar ainda mais o desempenho da estratégia.
/*backtest
start: 2023-12-04 00:00:00
end: 2024-01-03 00:00:00
period: 1h
basePeriod: 15m
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/
//@version=4
////////////////////////////////////////////////////////////
// Copyright by HPotter v1.0 19/08/2019
// 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 indicator plots Chandre Momentum Oscillator and its WMA on the
// same chart. This indicator plots the absolute value of CMO.
// The CMO is closely related to, yet unique from, other momentum oriented
// indicators such as Relative Strength Index, Stochastic, Rate-of-Change,
// etc. It is most closely related to Welles Wilder?s RSI, yet it differs
// in several ways:
// - It uses data for both up days and down days in the numerator, thereby
// directly measuring momentum;
// - The calculations are applied on unsmoothed data. Therefore, short-term
// extreme movements in price are not hidden. Once calculated, smoothing
// can be applied to the CMO, if desired;
// - The scale is bounded between +100 and -100, thereby allowing you to clearly
// see changes in net momentum using the 0 level. The bounded scale also allows
// you to conveniently compare values across different securities.
//
// 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
CMOWMA(Length, LengthWMA) =>
pos = 0
xMom = abs(close - close[1])
xSMA_mom = sma(xMom, Length)
xMomLength = close - close[Length]
nRes = 100 * (xMomLength / (xSMA_mom * Length))
xWMACMO = wma(nRes, LengthWMA)
pos := iff(nRes > xWMACMO, 1,
iff(nRes <= xWMACMO, -1, nz(pos[1], 0)))
pos
strategy(title="Combo Backtest 123 Reversal & CMO & WMA", shorttitle="Combo", overlay = true)
Length = input(14, minval=1)
KSmoothing = input(1, minval=1)
DLength = input(3, minval=1)
Level = input(50, minval=1)
//-------------------------
LengthCMO = input(14, minval=1)
LengthWMA = input(13, minval=1)
reverse = input(false, title="Trade reverse")
posReversal123 = Reversal123(Length, KSmoothing, DLength, Level)
posCMOWMA = CMOWMA(LengthCMO, LengthWMA)
pos = iff(posReversal123 == 1 and posCMOWMA == 1 , 1,
iff(posReversal123 == -1 and posCMOWMA == -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 )