全部订单
规则
类别中的新订单:
50 - 200 USD
300 - 900 USD
30 - 100 USD
150 - 350 USD
130 - 150 USD
1000 - 3000 USD
30+ USD
工作已完成
执行时间16 天
客户反馈
Very patient programmer
员工反馈
Nice person to work with.
指定
//@version=4
study(title="Stochastic", shorttitle="Stoch", format=format.price, precision=2, resolution="")
periodK = input(14, title="K", minval=1)
periodD = input(3, title="D", minval=1)
smoothK = input(3, title="Smooth", minval=1)
k = sma(stoch(close, high, low, periodK), smoothK)
d = sma(k, periodD)
plot(k, title="%K", color=#0094FF)
plot(d, color=change(d) >= 0 ? color.lime : color.red, linewidth=2)
h0 = hline(80, "Upper Band", color=#606060)
h1 = hline(20, "Lower Band", color=#606060)
fill(h0, h1, color=#9915FF, transp=80, title="Background")
lbR = input(title="Pivot Lookback Right", defval=5)
lbL = input(title="Pivot Lookback Left", defval=5)
rangeUpper = input(title="Max of Lookback Range", defval=60)
rangeLower = input(title="Min of Lookback Range", defval=5)
plotBull = input(title="Plot Bullish", defval=true)
plotBear = input(title="Plot Bearish", defval=true)
bearColor = color.red
bullColor = color.green
noneColor = color.new(color.white, 100)
osc= k
plFound = na(pivotlow(osc, lbL, lbR)) ? false : true
phFound = na(pivothigh(osc, lbL, lbR)) ? false : true
_inRange(cond) =>
bars = barssince(cond == true)
rangeLower <= bars and bars <= rangeUpper
//------------------------------------------------------------------------------
// Regular Bullish
// Osc: Higher Low
oscHL = osc[lbR] > valuewhen(plFound, osc[lbR], 1) and _inRange(plFound[1])
// Price: Lower Low
priceLL = low[lbR] < valuewhen(plFound, low[lbR], 1)
bullCond = plotBull and priceLL and oscHL and plFound
plot(
plFound ? osc[lbR] : na,
offset=-lbR,
title="Regular Bullish",
linewidth=2,
color=(bullCond ? bullColor : noneColor),
transp=0
)
plotshape(
bullCond ? osc[lbR] : na,
offset=-lbR,
title="Regular Bullish Label",
style=shape.arrowup,
location=location.absolute,
color=bullColor,
size = size.normal,
transp=0
)
//------------------------------------------------------------------------------
// Regular Bearish
// Osc: Lower High
oscLH = osc[lbR] < valuewhen(phFound, osc[lbR], 1) and _inRange(phFound[1])
study(title="Stochastic", shorttitle="Stoch", format=format.price, precision=2, resolution="")
periodK = input(14, title="K", minval=1)
periodD = input(3, title="D", minval=1)
smoothK = input(3, title="Smooth", minval=1)
k = sma(stoch(close, high, low, periodK), smoothK)
d = sma(k, periodD)
plot(k, title="%K", color=#0094FF)
plot(d, color=change(d) >= 0 ? color.lime : color.red, linewidth=2)
h0 = hline(80, "Upper Band", color=#606060)
h1 = hline(20, "Lower Band", color=#606060)
fill(h0, h1, color=#9915FF, transp=80, title="Background")
lbR = input(title="Pivot Lookback Right", defval=5)
lbL = input(title="Pivot Lookback Left", defval=5)
rangeUpper = input(title="Max of Lookback Range", defval=60)
rangeLower = input(title="Min of Lookback Range", defval=5)
plotBull = input(title="Plot Bullish", defval=true)
plotBear = input(title="Plot Bearish", defval=true)
bearColor = color.red
bullColor = color.green
noneColor = color.new(color.white, 100)
osc= k
plFound = na(pivotlow(osc, lbL, lbR)) ? false : true
phFound = na(pivothigh(osc, lbL, lbR)) ? false : true
_inRange(cond) =>
bars = barssince(cond == true)
rangeLower <= bars and bars <= rangeUpper
//------------------------------------------------------------------------------
// Regular Bullish
// Osc: Higher Low
oscHL = osc[lbR] > valuewhen(plFound, osc[lbR], 1) and _inRange(plFound[1])
// Price: Lower Low
priceLL = low[lbR] < valuewhen(plFound, low[lbR], 1)
bullCond = plotBull and priceLL and oscHL and plFound
plot(
plFound ? osc[lbR] : na,
offset=-lbR,
title="Regular Bullish",
linewidth=2,
color=(bullCond ? bullColor : noneColor),
transp=0
)
plotshape(
bullCond ? osc[lbR] : na,
offset=-lbR,
title="Regular Bullish Label",
style=shape.arrowup,
location=location.absolute,
color=bullColor,
size = size.normal,
transp=0
)
//------------------------------------------------------------------------------
// Regular Bearish
// Osc: Lower High
oscLH = osc[lbR] < valuewhen(phFound, osc[lbR], 1) and _inRange(phFound[1])
反馈
1
等级
项目
178
39%
仲裁
4
25%
/
50%
逾期
14
8%
空闲
2
等级
项目
844
73%
仲裁
15
53%
/
13%
逾期
193
23%
空闲
3
等级
项目
460
26%
仲裁
140
20%
/
59%
逾期
100
22%
工作中
4
等级
项目
16
0%
仲裁
8
13%
/
75%
逾期
3
19%
空闲
5
等级
项目
211
69%
仲裁
8
38%
/
38%
逾期
22
10%
空闲
相似订单
Hello, i would like to have a ninjatrader indicator. I wanna to have a footprint indicator with delta, imbalances and big trades identifiable. Also I wanna sell it on whop. And it should be fully customisable in NT8
I would like to program a ninja trader strategy that involves a Cycle ID indicator. Can you take a look to see if you can program the indicator in a strategy? Let me know if you can do this
Hello, I have a Ctrader indicator with the source code, I was wondering if this possible to convert it to Quantower. Hello, I have a Ctrader indicator with the source code, I was wondering if tis possible to convert it to Quantower., i need an expert who can convert it perfectly
Expert NinjaTrader Programmer Needed
60 - 100 USD
I’m looking for an experienced NinjaTrader developer to complete an existing custom indicator. The project is already partially built and is well organized, completely functional, and well documented. The former developer experienced some personal difficulties and unfortunately cannot continue. Key Requirement (Read Carefully): You MUST have direct, hands-on experience with NinjaTrader and NinjaScript (C#) . This is
Hi i need an expert to built a automated trading bot for ninja trader platform like sniper auto trader bot If you can develop or build automated bot for ninjatrader, let me know
Early Killer EA
30+ USD
It must have automated stop loss. Something that can end poverty and kill the market early.It must take the trades for me whenever I start it it must work on tradeport ea
项目信息
预算
30+ USD
截止日期
到 10 天