Tâche terminée
Temps d'exécution 16 jours
Commentaires du client
Very patient programmer
Commentaires de l'employé
Nice person to work with.
Spécifications
//@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])
Répondu
1
Évaluation
Projets
178
39%
Arbitrage
4
25%
/
50%
En retard
14
8%
Gratuit
2
Évaluation
Projets
844
73%
Arbitrage
15
53%
/
13%
En retard
193
23%
Gratuit
3
Évaluation
Projets
460
26%
Arbitrage
140
20%
/
59%
En retard
100
22%
Travail
4
Évaluation
Projets
16
0%
Arbitrage
8
13%
/
75%
En retard
3
19%
Gratuit
5
Évaluation
Projets
211
69%
Arbitrage
8
38%
/
38%
En retard
22
10%
Gratuit
Commandes similaires
Junior EA
30+ USD
1. EA for MT5, hedging allowed. 2. Entry: 50 EMA crosses 200 EMA on H1. Buy on bullish cross, sell on bearish. 3. SL: 100 pips, TP: 200 pips. No trailing stop. 4. Lot size: 0.01 fixed. Max 3 trades at once. 5. Trade only 08:00-18:00 GMT. No trades if spread > 20 points. 6. Inputs: EMA periods, SL, TP, lot size, start/end time
Profitable Expert Adviser Already
30 - 54 USD
I am searching professional strategy, not grid, not martingale, controlled risk, Please don't waste my time if you havent got nothing valueable to show, in first message please describe this strategy, if you will not do this, I will move you to rejected, Budget is negotiable
Specification
300 - 900 USD
looking for a highly experienced mql5 developer to build a professional trading ea based on multi timeframe top down analysis and market structure concepts the system should combine higher timeframe context with lower timeframe execution and provide both precise logic and clean visual representation on chart ⸻ core requirements • implementation of multi timeframe logic higher timeframe bias combined with lower
Expert Advisor Programming
50 - 100 USD
Trading Strategy Specification 🟢 Buy Setup Conditions: Trend Identification: The overall trend must be Bullish (Upward). (Note for the programmer: Define the bullish trend using higher highs/higher lows structure or a specific Moving Average). Fibonacci Retracement: The price must correct downwards to touch or test the 61.8% Fibonacci level , drawn from the most recent swing low to the swing high. Entry
MQL5 EA Help With Development
30 - 100 USD
Hey I need help with the development of my ea. I am using a built in indicator and a custom indicator. It shouldn't take too long. I will tell you the conditions and then I just need some help with the coding but I have some experience. Thanks we can chat on whatsap or telegram
Semi Automated Gold Trading Signal System for MT5
300 - 800 USD
I need an experienced MQL5 developer to build a semi automated trading signal system for Gold (XAUUSD) on MT5. The system is NOT a martingale or grid EA. The goal is to build a clean rule based signal engine that detects high probability setups based on predefined strategy rules and sends trading alerts with optional pending order logic. Main Requirements: 1. Signal Generation - Buy and Sell signals - Buy Limit - Buy
MT5 Expert Advisor Specification: Asian Liquidity Sweep & M5 FVG Entry Project Overview Automated Expert Advisor for EUR/USD on MT5. The strategy maps structural liquidity (Fractal Swings) for entry triggers but targets absolute session extremes for Take Profit. It enters on the first opposite M5 Fair Value Gap (FVG) and features a dynamic, user-controlled risk engine. 1. Timezone & News Filter Requirements The
I am looking for an experienced MQL4/MQL5 developer to build a custom MT4 indicator from scratch or cracking my ex4 file that i provide to you. I already have an existing indicator (EX4) which produces highly accurate buy/sell signals. I want a similar indicator developed based on its observable behavior and signal structure. my existing indicator is pc id protected so you have to do PC ID security bypass and source
I am looking for an experienced MQL5 developer to build a professional Expert Advisor with the following specs: TECHNICAL REQUIREMENTS: - Platform: MetaTrader 5 (MT5) - Pairs: GBPUSD and EURUSD - Broker suffix support (e.g. GBPUSD@, EURUSD@) - Primary timeframe: M5 -Higher timeframe bias: H1 and H4 (for trend direction only) - One chart setup — manages both pairs from one chart STRATEGY: - Price action based: BOS
OBJETIVO Criar um Expert Advisor MT5 profissional para XAUUSD focado em: Consistência Baixo drawdown Scalping profissional Proteção da conta Crescimento sustentável Compatibilidade com conta micro e prop firms NÃO utilizar: Martingale Grid Hedge agressivo Recovery system Multiplicação de lotes após perda --- ATIVO XAUUSD apenas --- TIMEFRAMES Timeframe principal M5 Confirmação tendência M15 Confirmação macro opcional
Informations sur le projet
Budget
30+ USD
Délais
à 10 jour(s)