Alle Aufträge
Regeln
Wie man einen Handelsroboter schnell bestellen kann
Lesen Sie bitte zuerst die Regeln durch
Wie man einen Handelsroboter in MQL5 und MQL4 in Auftrag gibt
Hier ist das Muster einer Anforderungsspezifikation, um einen Roboter zu bestellen
Neuer Aufträge in dieser Kategorie:
Spezifikation
i have a pinescript indicator i would like to change to a mt5ea - see code below
the signal on pine script uses ma and donchian or price channels
indicator has a few options - to use
ma/trend or channel/breakout
long and short options separately selectable
variables
lookback period ema
lookback period breakout
stop multiple
trail lookback
max leverage- not required nt5 will manage
annualised vol - not req dont understand it
compounding- mt5 will manage
the signals on pinescript need to be executed on mt5 with the option of a reverse feature. i.e buy when the sell signal appears
code the buy or sell order on the ea the opposite of the pinescript signal. then please add --reverse-- tick box/option for reverse signal
mm will be-- input-- lot size entered per --input---$ amount of capital as there is no fixed or trailing stop loss.
say risk 0.1 lot per $1000
i require the source code
my broker is ic markets- i require the signals to match the tradingview ic market chart to the mt5 chart
pinescript code can be found on tradingview
// This source code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/
// © Crunchster1
//@version=5
strategy(title="Crunchster's Turtle and Trend System", shorttitle="Turtle Trend", overlay=true, slippage=10, pyramiding=1, precision = 4, calc_on_order_fills = false, calc_on_every_tick = false, default_qty_value = 0.1, initial_capital = 1000, commission_value = 0.06, process_orders_on_close = true)
// Inputs and Parameters
src = input(close, 'Source', group='Strategy Settings')
length = input.int(title="Lookback period for fast EMA", defval=10, minval=2, group='Strategy Settings', tooltip='This sets the lookback period for the fast exponential moving average. The slow EMA is 5x the fast EMA length')
blength = input.int(title="Lookback period for Breakout", defval=20, minval=5, step=5, group='Strategy Settings')
long = input(true, 'Long', inline='08', group='Strategy toggle')
short = input(true, 'Short', inline='08', group='Strategy toggle', tooltip='Toggle long/short strategy on/off')
EMAwt = input(false, 'Trend', inline='01', group='Strategy toggle')
breakwt = input(true, 'Breakout', inline='01', group='Strategy toggle', tooltip='Toggle trend/breakout strategy on/off')
stopMultiple = input.float(2, 'Stop multiple', step=0.5, group='Risk Management Settings', tooltip='Multiple for ATR, setting hard stop loss from entry price')
trail = input.int(10, 'Trail lookback', step=5, group='Risk Management Settings', tooltip='Lookback period for the trailing stop')
lev = input.float(1, 'Max Leverage', step=0.5, group='Risk Management Settings', tooltip='Max leverage sets maximum allowable leverage of total capital (initial capital + any net profit), capping maximum volatility adjusted position size')
riskT = input.float(15, maxval=75, title='Annualised Volatility Target %', group='Risk Management Settings', tooltip='Specify annual risk target, used to determine volatility adjusted position size. Annualised daily volatility is referenced to this value and position size adjusted accordingly')
comp = input(true, 'Compounding', inline='09', group='Risk Management Settings')
Comppct = input.float(50, '%', step=5, inline='09', group='Risk Management Settings', tooltip='Toggle compounding of profit, and set % of profit to compound')
// Backtesting period
FromDay = input.int(defval=1, title='From Day', minval=1, maxval=31, inline='04', group='Backtest range')
FromMonth = input.int(defval=1, title='From Mon', minval=1, maxval=12, inline='04', group='Backtest range')
FromYear = input.int(defval=2018, title='From Yr', minval=1900, inline='04', group='Backtest range', tooltip='Set start of backtesting period')
ToDay = input.int(defval=1, title='To Day', minval=1, maxval=31, inline='05', group='Backtest range')
ToMonth = input.int(defval=1, title='To Mon', minval=1, maxval=12, inline='05', group='Backtest range')
ToYear = input.int(defval=9999, title='To Yr', minval=1900, inline='05', group='Backtest range', tooltip='Set end of backtesting period')
start = timestamp(FromYear, FromMonth, FromDay, 00, 00)
finish = timestamp(ToYear, ToMonth, ToDay, 23, 59)
window = time >= start and time <= finish
// Breakout strategy
lower = ta.lowest(low[1], blength)
upper = ta.highest(high[1], blength)
basis = math.avg(upper, lower)
signal = 20*(close - basis) / (upper - lower)
// Trend strategy
fEMA = ta.ema(close[1], length)
sEMA = ta.ema(close[1], length*5)
emadiff = fEMA - sEMA
nemadiff = 5*emadiff/(ta.stdev(close - close[1], 252))
//Risk Management formulae
tr = math.max(high - low, math.abs(high - close), math.abs(low - close)) //True range
stopL = ta.sma(tr, 14) //Average true range
stdev = ta.stdev(close-close[1], 14) //volatility of recent returns
maxcapital = strategy.initial_capital+strategy.netprofit //Maximum capital available to invest - initial capital net of profit
annvol = 100*math.sqrt(365)*stdev/close //converts recent volatility of returns into annualised volatility of returns - assumes daily timeframe
risk = 1.1
if comp
risk := (strategy.initial_capital+(Comppct*strategy.netprofit/100))//adjust investment capital to include compounding
else
risk := strategy.initial_capital
shares = (risk * (riskT/annvol)) / close //calculates volatility adjusted position size, dependent on user specified annualised risk target
if ((shares*close) > lev*maxcapital) //ensures position size does not exceed available capital multiplied by user specified maximum leverage
shares := lev*maxcapital/close
//To set the price at the entry point of trade
Posopen() =>
math.abs(strategy.position_size[1]) <= 0 and math.abs(strategy.position_size) > 0
var float openN = na
if Posopen()
openN := stopL
// Trailing stop
tlower = ta.lowest(low[1], trail)
tupper = ta.highest(high[1], trail)
tbasis = math.avg(tupper, tlower)
tsignal = 20*(close - tbasis) / (tupper - tlower)
// Strategy Rules
if EMAwt
if long
longCondition2 = (nemadiff >2 and nemadiff[1] <2) and window
exitlong = tsignal <= -10
if (longCondition2)
strategy.entry('Trend Long!', strategy.long, qty=shares)
if strategy.position_size > 0
strategy.exit('Stop Long', from_entry = 'Trend Long!', stop=(strategy.opentrades.entry_price(0) - (openN * stopMultiple)))
if (exitlong)
strategy.close('Trend Long!', immediately = true)
if short
shortCondition2 = (nemadiff <-1 and nemadiff[1] >-1) and window
exitshort = tsignal >= 10
if (shortCondition2)
strategy.entry('Trend Short!', strategy.short, qty=shares)
if strategy.position_size < 0
strategy.exit('Stop Short', from_entry = 'Trend Short!', stop=(strategy.opentrades.entry_price(0) + (openN * stopMultiple)))
if (exitshort)
strategy.close('Trend Short!', immediately = true)
if breakwt
if long
longCondition1 = (signal >= 10) and window
exitlong = tsignal <= -10
if (longCondition1)
strategy.entry('Break Long!', strategy.long, qty=shares)
if strategy.position_size > 0
strategy.exit('Stop Long', from_entry = 'Break Long!', stop=(strategy.opentrades.entry_price(0) - (openN * stopMultiple)))
if (exitlong)
strategy.close('Break Long!', immediately = true)
if short
shortCondition1 = (signal <= -10) and window
exitshort = tsignal >= 10
if (shortCondition1)
strategy.entry('Break Short!', strategy.short, qty=shares)
if strategy.position_size < 0
strategy.exit('Stop Short', from_entry = 'Break Short!', stop=(strategy.opentrades.entry_price(0) + (openN * stopMultiple)))
if (exitshort)
strategy.close('Break Short!', immediately = true)
// Visuals of trend and direction
plot(nemadiff, title='EMA Forecast', color=color.black, display=display.none)
plot(ta.sma(ta.median(math.sqrt(math.pow(nemadiff,2)), 700), 350), 'Forecast mean', color=color.rgb(245, 0, 0), display=display.none)
MAColor = fEMA > sEMA ? #00ff00 : #ff0000
MA1 = plot(fEMA, title='Fast EMA', color=MAColor)
MA2 = plot(sEMA, title='Slow EMA', color=MAColor)
fill(MA1, MA2, title='Band Filler', color=MAColor)
Bewerbungen
1
Bewertung
Projekte
23
22%
Schlichtung
8
13%
/
63%
Frist nicht eingehalten
4
17%
Frei
2
Bewertung
Projekte
1
0%
Schlichtung
0
Frist nicht eingehalten
0
Frei
3
Bewertung
Projekte
35
23%
Schlichtung
4
0%
/
50%
Frist nicht eingehalten
2
6%
Arbeitet
4
Bewertung
Projekte
33
27%
Schlichtung
20
10%
/
50%
Frist nicht eingehalten
11
33%
Frei
5
Bewertung
Projekte
1
0%
Schlichtung
2
0%
/
100%
Frist nicht eingehalten
0
Frei
6
Bewertung
Projekte
0
0%
Schlichtung
0
Frist nicht eingehalten
0
Frei
7
Bewertung
Projekte
2
0%
Schlichtung
2
50%
/
50%
Frist nicht eingehalten
0
Frei
Ähnliche Aufträge
Modification of Trade_Panel_7 7.05 Objective . I have this utility “Trade_Panel_7 7.05” with which I open and close positions. Please refer to attached “Trade Panel Modification.jpg”. It shows an input parameter “Volume Step”. This parameter has the initial value of 0.02 as shown. This feature needs to be amended. Present Status . Value of lot size is increased by this “Volume Step”. I have built a whole series of
Hello Traders, Have a trading strategy or idea you want to automate? I specialize exclusively in MQL5 development, helping traders turn their concepts into professional trading solutions. Custom Expert Advisors — automate your strategy and reduce manual execution Custom Indicators — transform your market ideas into powerful trading tools Fix & Debug — identify errors and get your existing code working properly
please share: Strategy description — entry/exit rules, indicators used, timeframe(s), and instrument(s) (a written explanation, screenshots, or an existing indicator/EA to reference all work) Risk management rules — position sizing method (fixed lot / % risk), stop loss / take profit logic, max drawdown or daily loss limits, and whether martingale/grid/hedging is involved Broker & account details — broker name
GRID/DCA EA for XAUUSD Trading needed
50 - 100 USD
I need a unique grid trading system for XAUUSD that combines entry, controlled two-sided grid expansion, DCA (Dollar Cost Averaging) basket profit control, hedging. Unlike traditional grid EAs that only trade against price, this unique grid system should dynamically build positions in both directions based on market movement, allowing flexible adaptation to changing conditions ie the grid needs to dynamically move
I need an experienced MQL5 developer to create a fully automated MT5 Expert Advisor called Ayoub Gold EA , focused exclusively on XAUUSD (Gold) . Main requirements: Platform: MT5 / MQL5. Fully automated BUY and SELL trading on XAUUSD. Must support broker suffixes such as XAUUSD, XAUUSD.f and XAUUSDm. Trading strategy based mainly on Range Breakout with trend confirmation. EMA, ADX and ATR filters. London/New York
Mashiri
50 - 10000 USD
I need a custom MetaTrader 5 indicator designed specifically for XAUUSD gold trading. The indicator should identify potential buy and sell opportunities, display clear entry and exit signals on the chart, provide alerts, and help identify market trends and possible reversals
Looking for an experienced Sierra Chart ACSIL/C++ developer to customize an existing footprint chart. I need 3 things: 7-Day ATR – calculate and display a configurable 7-day ATR. Custom Footprint – modify my existing footprint chart to match my preferred layout/data display. Automatic LVN – detect and plot Low Volume Nodes automatically based on volume distribution. I already have a working footprint chart, so no
V3 PRO Auto-Scalper EA
40+ USD
//———————————————————————————————————————————————————————————————————— struct S_MCAV { double matureSum; double totalSum; double value; void Init () { matureSum = 0.0; totalSum = 0.0; value = 0.5; } void AddContext (int ctx) { totalSum += 1.0; if (ctx == 1) matureSum += 1.0; } void ApplyDecay (double rate) { matureSum *= rate; totalSum *= rate; } void Update () {
1. Title Development of a Custom MQL5 Expert Advisor for XAUUSD (MetaTrader 5) 2. Requirements Specification Overview: I am looking for an experienced MQL5 developer to build a robust, fully custom Expert Advisor (EA) for MetaTrader 5 tailored for trading Gold (XAUUSD). Core Specifications & Features: Asset & Timeframe: Designed specifically for XAUUSD. Timeframe should be selectable directly from the EA inputs
Adaptive XAUUSD EA – MT5
30 - 200 USD
SPECIFICA TECNICA: Cerco uno sviluppatore MQL5 esperto per sviluppare da zero un Expert Advisor completamente nuovo per XAUUSD su MT5. Non desidero un semplice Expert Advisor basato su indicatori fissi. Desidero un sistema di trading dinamico e adattivo , in grado di adattare il comportamento proprio alle diverse condizioni di mercato di XAUUSD. Lo sviluppatore può utilizzare tecniche appropriate quali trend
Projektdetails
Budget
200 - 400 USD
Ausführungsfristen
von 5 bis 10 Tag(e)