Ea required using ma and price channels-source i have from pinescript based on ma and price channels

Техническое задание

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)


Откликнулись

1
Разработчик 1
Оценка
(18)
Проекты
23
22%
Арбитраж
8
13% / 63%
Просрочено
4
17%
Свободен
2
Разработчик 2
Оценка
Проекты
1
0%
Арбитраж
0
Просрочено
0
Свободен
3
Разработчик 3
Оценка
(15)
Проекты
34
24%
Арбитраж
4
0% / 50%
Просрочено
2
6%
Работает
4
Разработчик 4
Оценка
(25)
Проекты
29
21%
Арбитраж
20
10% / 50%
Просрочено
8
28%
Работает
5
Разработчик 5
Оценка
Проекты
1
0%
Арбитраж
2
0% / 100%
Просрочено
0
Свободен
6
Разработчик 6
Оценка
Проекты
0
0%
Арбитраж
0
Просрочено
0
Свободен
7
Разработчик 7
Оценка
(1)
Проекты
2
0%
Арбитраж
2
50% / 50%
Просрочено
0
Свободен
Похожие заказы
Signal Logic - Swing points detected correctly (Fractals or N-bar) - BOS triggers only on bar close beyond swing level (+ optional min break distance) - FVG zones detected correctly (3-candle gap) and stored with clear boundaries - FVG invalidation works as configured (full fill / partial fill / timeout) Entry & Execution - Entry only after BOS (if enabled) and on return to active FVG zone - Bar-close confirmation
Hi, I’m searching for a developer who already has a high‑performance Gold EA that can beat the results shown in my screenshot. If you have such an EA, please reply with: - A brief description of how it works (grid, scalping, SMC, etc.) - Backtest results and the set files you used - Whether you’re willing to make minor tweaks so I can use it as my own If the performance looks good, we can discuss adjustments and next
Multi-Asset AI Trading Bot Details Proposals I want a single, cohesive AI bot that can log in to MetaTrader, Coinbase, Robinhood, and TradingView, scan live market data, and execute trades automatically in stocks, forex, and crypto. The core logic must support day-trading, swing-trading, and scalping modes that I can toggle on a schedule or by simple configuration. The workflow I picture is: • Real-time data
I need someone that is able to develop for me a MT5 EA that perform VERY WELL on XAUUSD. Every strategy is accepted. By applying, please send me screenshot of results since 2018
Hello developers, I'm looking for existing, proven EAs (MQL5) that work flawlessly on MT5. Requirements: Demo version available for testing Backtest results + screenshots Verified trade history from 2018-2025 Budget is negotiable If you've got an EA that fits, hit me up
Need a HFT scalping EA 30 - 100 USD
Require the development of a high-speed HFT, fully automated trading Expert Advisor (EA) for MetaTrader 5 , optimized for live trading on both Deriv and Exness . The EA must be designed for fast execution, low latency, and reliability on real-money accounts , with full compatibility across broker-specific contract specifications, tick sizes, tick values, pricing formats, and volume rules. It should automatically
Looking for an experienced MQL4/MQL5 developer. Task: EX4 → MQ4 recovery Modify EA logic Convert MQ4 → MQ5 (fully working) Must understand MT4 vs MT5 differences and deliver clean, tested code. This is a paid job, with possible follow-up work if things go well. DM me with your experience and examples of similar work
This EA uses the inbuilt indicators to execute trades. It follows the simple rules of buy signal and sell signal.It will be independent of each other. The same rule follows for each
1. Background & MQL5 Journey: ¿Cuéntame un poco sobre tu background en trading algorítmico y qué te emociona de crear EAs de alto rendimiento? 2. Experience: ¿Cuáles son 2-3 EAs destacados que has creado (mercados, Sharpe, PF, señales/backtests)? 3. Institutional Results: ¿Puedes lograr Sharpe ≥3.0, PF >2.5, <10% DD en XAUUSD? ¿Qué te da confianza? 4. Demo EA: ¿Tienes una señal de EA top (MQL5/Myfxbook) con 100+
Here's the TradeStation ELD files that i want to convert to tradingview pine script (unprotected so you can see codes for indicators and systems/strategies) - let me know what you think it would cost? thanks i will be looking for great developer that will bid it for it and get started

Информация о проекте

Бюджет
200 - 400 USD
Сроки выполнения
от 5 до 10 дн.