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दो-ड्राइवर क्वांटिज़ेड रिवर्स ट्रैकिंग रणनीति

लेखक:चाओझांग, दिनांकः 2024-02-18 10:03:14
टैगः

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/*backtest
start: 2024-01-18 00:00:00
end: 2024-02-17 00:00:00
period: 1h
basePeriod: 15m
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/

//@version=4
////////////////////////////////////////////////////////////
//  Copyright by HPotter v1.0 08/12/2020
// 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
// Everyone wants a short-term, fast trading trend that works without large
// losses. That combination does not exist. But it is possible to have fast
// trading trends in which one must get in or out of the market quickly, but
// these have the distinct disadvantage of being whipsawed by market noise
// when the market is volatile in a sideways trending market. During these
// periods, the trader is jumping in and out of positions with no profit-making
// trend in sight. In an attempt to overcome the problem of noise and still be
// able to get closer to the actual change of the trend, Kaufman developed an
// indicator that adapts to market movement. This indicator, an adaptive moving
// average (AMA), moves very slowly when markets are moving sideways but moves
// swiftly when the markets also move swiftly, change directions or break out of
// a trading range.
//
// 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

KAMA(Length) =>
    pos = 0.0
    nAMA = 0.0
    xPrice = close
    xvnoise = abs(xPrice - xPrice[1])
    nfastend = 0.666
    nslowend = 0.0645
    reverse = input(false, title="Trade reverse")
    nsignal = abs(xPrice - xPrice[Length])
    nnoise = sum(xvnoise, Length)
    nefratio = iff(nnoise != 0, nsignal / nnoise, 0)
    nsmooth = pow(nefratio * (nfastend - nslowend) + nslowend, 2) 
    nAMA := nz(nAMA[1]) + nsmooth * (xPrice - nz(nAMA[1]))
    pos := iff(close[1] > nAMA, 1,
    	     iff(close[1] < nAMA, -1, nz(pos[1], 0))) 
    pos

strategy(title="Combo Backtest 123 Reversal & Kaufman Moving Average Adaptive", shorttitle="Combo", overlay = true)
Length = input(14, minval=1)
KSmoothing = input(1, minval=1)
DLength = input(3, minval=1)
Level = input(50, minval=1)
//-------------------------
LengthKAMA = input(21, minval=2)
reverse = input(false, title="Trade reverse")
posReversal123 = Reversal123(Length, KSmoothing, DLength, Level)
posKAMA = KAMA(LengthKAMA)
pos = iff(posReversal123 == 1 and posKAMA == 1 , 1,
	   iff(posReversal123 == -1 and posKAMA == -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 )

---

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