ChrisMoody

CM Stochastic POP Method 1 - Jake Bernstein_V1

A good friend ucsgears recently published a Stochastic Pop Indicator designed by Jake Bernstein with a modified version he found.

I spoke to Jake this morning and asked if he had any updates to his Stochastic POP Trading Method. Attached is a PDF Jake published a while back (Please read for basic rules, which also Includes a New Method). I will release the Additional Method Tomorrow.

Jake asked me to share that he has Updated this Method Recently. Now across all symbols he has found the Stochastic Values of 60 and 30 to be the most profitable. NOTE - This can be Significantly Optimized for certain Symbols/Markets.

Jake Bernstein will be a contributor on TradingView when Backtesting/Strategies are released. Jake is one of the Top Trading System Developers in the world with 45+ years experience and he is going to teach how to create Trading Systems and how to Optimize the correct way.

Below are a few Strategy Results....Soon You Will Be Able To Find Results Like This Yourself on TradingView.com


BackTesting Results Example: EUR-USD Daily Chart Since 01/01/2005

Strategy 1:
Go Long When Stochastic Crosses Above 60. Go Short When Stochastic Crosses Below 30. Exit Long/Short When Stochastic has a Reverse Cross of Entry Value.

Results:
Total Trades = 164
Profit = 50, 126 Pips
Win% = 38.4%
Profit Factor = 1.35
Avg Trade = 306 Pips Profit
***Most Consecutive Wins = 3 ... Most Consecutive Losses = 6


Strategy 2:
Rules - Proprietary Optimization Jake Will Teach. Only Added 1 Additional Exit Rule.

Results:
Total Trades = 164
Profit = 62, 876 Pips!!!
Win% = 38.4%
Profit Factor = 1.44
Avg Trade = 383 Pips Profit
***Most Consecutive Wins = 3 ... Most Consecutive Losses = 6


Strategy 3:
Rules - Proprietary Optimization Jake Will Teach. Only added 1 Additional Exit Rule.

Results:
Winning Percent Increases to 72.6%!!!, Same Amount of Trades.
***Most Consecutive Wins = 21 ...Most Consecutive Losses = 4


Indicator Includes:

-Ability to Color Candles (CheckBox In Inputs Tab)
Green = Long Trade
Blue = No Trade
Red = Short Trade

-Color Coded Stochastic Line based on being Above/Below or In Between Entry Lines.

Link To Jakes PDF with Rules
dl.dropboxuserconten...n Stochastic Pop.pdf

오픈 소스 스크립트

이 스크립트의 오써는 참된 트레이딩뷰의 스피릿으로 이 스크립트를 오픈소스로 퍼블리쉬하여 트레이더들로 하여금 이해 및 검증할 수 있도록 하였습니다. 오써를 응원합니다! 스크립트를 무료로 쓸 수 있지만, 다른 퍼블리케이션에서 이 코드를 재사용하는 것은 하우스룰을 따릅니다. 님은 즐겨찾기로 이 스크립트를 차트에서 쓸 수 있습니다.

면책사항

이 정보와 게시물은 TradingView에서 제공하거나 보증하는 금융, 투자, 거래 또는 기타 유형의 조언이나 권고 사항을 의미하거나 구성하지 않습니다. 자세한 내용은 이용 약관을 참고하세요.

차트에 이 스크립트를 사용하시겠습니까?
//Created by ChrisMoody on 3-13-2015
//Original Creator is Jake Bernstein from www.Trade-Futures.com

study(title="_CM_Stochastic POP Method 1_V1", shorttitle="CM_Stochastic POP Method 1_V1")

length = input(14, minval=1, title="Stochastic Length - Default 14")
smoothK = input(5, minval=1, title="Smooth K - Default 5")
ul = input(60, minval=50, title="Buy Entry/Exit Line")
ll = input(30, maxval=50, title="Sell Entry/Exit Line")
st = input(false, title="Change Barcolor To Show Long, Short, or No Trades")

//Stochastic Calculation
k = sma(stoch(close, high, low, length), smoothK)

//Upper and Lower Entry Lines
uline = ul
lline = ll

//Bar Color Definitions
Long() => st and k >= uline ? 1 : 0
Short() => st and k <= lline ? 1 : 0
NoTrade() => st and (k > lline and k < uline) ? 1 : 0

//Color Definition for Stochastic Line
col = k >= uline ? green : k <= lline ? red : blue

//Stochastic Plots
plot(k, title="Stochastic", style=line, linewidth=4, color=col)
p1 = plot(uline, title="Upper Line", style=line, linewidth=4, color=green)
p2 = plot(100, title="100 Line", color=white)
fill(p1, p2, title="Long Trade Fill Color", color=green, transp=90)
p3 = plot(lline, title="Lower Line", style=line, linewidth=4, color=red)
p4 = plot(0, title="0 Line", color=white)
fill(p1, p3, title="No Trade Fill Color", color=blue, transp=90)
fill(p3, p4, title="Short Trade Fill Color", color=red, transp=90)

//Bar Color Plots
barcolor(Long() ? green : na)
barcolor(NoTrade() ? blue : na)
barcolor(Short() ? red : na)