Trading View EA Needed

Python Experten Python

Spezifikation

Saw this job posted and frankly needed something identical to it. Basically need to be able to use this for TradingView and a custom script we've tried all of the bridges that are out there seem to error out or break while in the middle of a trade so need something custom that we can control the outcome. 

Would like to hire this same developer who does the gig to work on a longer term project creating a script converter from TV to EA.

------

Hi guys,

I would like to ask for the development of an Expert Advisor (EA).

The development job requested intends to create an EA able to receive POST incoming webhooks and to trigger adequate orders and actions (execute orders (long, short as market, limit), get open orders, ask best order price (ask, bid), adjust order prices, get current positions, get collateral.

If not too complex a simple check for a passphrase shall be performed to reject any fraud webhook messages.

Any instrument tool must be supported (either cryptos, indices, forex, commodities, etc.). The integration should be direct (EA able to receive and execute incoming webhooks). No further software or hosted solutions should be used.

Following there is a proposal for the format of the orders. The format of the webhooks can be adapted, in case it would simplify the development:

Execute order – Prio 1

Request:

{          "passphrase": e.g. "abcd1234",
            "action": "execute_order",
            "symbol": e.g. "BTCUSD",
            “direction": "long" or “short”,
            “order_type": "market" or “limit”,
            “direction": "long" or “short”,
            "stop_loss": e.g. “49000” (not used if “0”),
            “take_profit”: e.g. “54000” (not used if “0”),,
            “limit_price": e.g. "50000”, (for order type “limit”)
            “volume": e.g. "0.5” }

Response:

A success message or error code shall be provided as webhook response after order execution.

{          "code": "success",
            "message": "order executed" }

 

Get collateral – Prio 1

Request:

{          "passphrase": e.g. "abcd1234",
            "action": "get_collateral” }

Response:

A message as webhook with following key information:

{          "code": "success",
            "equity": e.g. "10000.50",
            "margin": e.g. "8000.50",
            "free margin": e.g. "2000.00"  }

-----------------------------------------------------------------------------------------------------

Get positions – Prio 2

Request:

{          "passphrase": e.g. "abcd1234",
            "action": "get_positions” }

Response:

A message as webhook with a list of key information per position:

{          Position 1 {    
                        "order_ID": "55711111",
                        "type”: “long”, “short”),
                        “size”: e.g. “0.1”,
                        "symbol": e.g. "BTCUSD",
                        “entry_price": e.g. "50000”,
                        "stop_loss": e.g. “49000”,
                        “take_profit”: e.g. “54000”,
                        "actual_price": e.g. "58000.50",
                        "profit": e.g. "240.50"  },

            Position 2 {    
                        "order_ID": "55711112",
                        "type”: “long”, “short”),
                        “size”: e.g. “1.0”,
                        "symbol": e.g. "EURUSD",
                          }
}

 

Get open orders – Prio 2

Request:

{          "passphrase": e.g. "abcd1234",
            "action": "get_open_orders” }

Response:

A message as webhook with a list of key information per open order:

{          Position 1 {    
                        "order_ID": "55711111",
                        "type”: “long”, “short”),
                        “original_size”: e.g. “0.1”,
                        “remaining_size”: e.g. “0.02”,
                        "symbol": e.g. "BTCUSD",
                        “order_price": e.g. "50000”,
                        "stop_loss": e.g. “49000”,
                        “take_profit”: e.g. “54000”,
                        "actual_price": e.g. "58000.50"},

            Position 2 {    
                        "order_ID": "55711112",
                        "type”: “long”, “short”),
                        “size”: e.g. “1.0”,
                        "symbol": e.g. "EURUSD",
                          }
}

 

Get best bid ask price – Prio 2

Request:

{          "passphrase": e.g. "abcd1234",
            "action": " get_best_order_price” ,
            "symbol": e.g. "BTCUSD",}

Response:

A message as webhook with following key information:

{          “best_bid_price": e.g. "50800”,
            “best_ask_price": e.g. "50950”,
            "actual_price": e.g. "51000.50" }

 

Cancel order – Prio 2

Request:

{          "passphrase": e.g. "abcd1234",
            "action": "cancel_order",
            "order_ID": e.g. "55711111"}

Response:

A success message or error code shall be provided as webhook response after order execution.

{          "code": "success",
            "message": "order executed" }

 

 

Adjust order price – Prio 3

Order to adjust order price and/or volume for a specific existing order without canceling it.

 

I grouped the orders into 3 priority classes according to their importance. Prio 1 is mandatory, others are optional.

Code should be MQL4 technically feasibleMQL source code will need to be provided and execution not limited to an account/ID.

Detailed webhook syntax needs to be documented and provided.


Don't hesitate to comment/query extra information, if needed.

 

Bewerbungen

1
Entwickler 1
Bewertung
(38)
Projekte
50
10%
Schlichtung
1
0% / 0%
Frist nicht eingehalten
8
16%
Frei
2
Entwickler 2
Bewertung
(10)
Projekte
4
0%
Schlichtung
11
0% / 82%
Frist nicht eingehalten
0
Frei
Ähnliche Aufträge
MT4/MT5 HFT EA us30 30 - 3000 USD
Hello everybody, I'm looking for an experienced MQL4/MQL5 developer to optimize a High-Frequency Trading (HFT) Expert Advisor for both MT4 and MT5. The EA performs consistently and profitably on demo accounts, but when it is run on Raw and Standard live accounts under what appear to be the same trading conditions, it begins generating losses. I do not have the original source code (.mq4/.mq5); I only have the
I need an Expert Advisor for MT5 on XAUUSD 1min timeframe using SMC concepts. STRATEGY RULES: SELL: 1. Identify previous day High/Low as liquidity 2. Entry only during London-NY session: 15:00-19:00 GMT+3 or broker clock. 3. If price sweeps previous day High and closes back below it 4. Check for bearish 1min FVG below sweep candle 5. Wait for BOS - lower low 6. Entry: Sell/buy at 50% of the FVG 7. SL: 10 pips above
I have a High-Frequency Trading (HFT) Expert Advisor for both MT4 and MT5 designed primarily for US30 (Dow Jones Index) . The EA performs consistently and profitably on demo accounts, but when I run it on an IC Markets Raw or Standard live account, it starts generating losses under what appear to be the same trading conditions. At this time, I cannot provide the source code (.mq4/.mq5). I can only provide the
I want to build a fundamental news trading bot that trade off economic news data, as we know every economic news data released always have effect on the asset associated with it, so this bot will take a trade instantly based on the news data released either to buy or sell, it will come with good money management and also SL and TP target based on price and pips value
I have a EA/indicator that I want built. I should say 1st off dont know how to code myself so I will be using AI to verify that the source code is complete and matches the documents spec or if better so if you can not truly do the job do not waste either of out time. This is a idea I came.up wit and used AI to produce a framework for it.... and of course AI isn't 100% accurate so I need a knowledgeable quantitative
Bot 30 - 80 USD
I am looking for an experienced MQL5 developer to create a fully automated Expert Advisor (EA) for MetaTrader 5 based on a Price Action strategy. The bot needs to automatically identify specific candlestick formations and market structure levels, execute trades, and manage risk using a dynamic trailing stop.The EA should monitor the chart for the following price action setup:Market Structure / Trend Filter:The bot
Master mind 30+ USD
Start ↓ Detect Trend (H4) ↓ Confirm Structure (H1) ↓ Wait for Pullback ↓ Check Indicators ↓ Calculate Confidence Score ↓ Score ≥ 80? ├── No → Wait └── Yes ↓ Calculate Lot Size ↓ Place Order ↓ Set Stop Loss ↓ Set Take Profit ↓ Manage Trade ↓ Move to Break-even ↓ Trail Stop ↓ Close Trade. IF Price > EMA200 (H4) AND EMA50 > EMA200 (H4) AND ADX > 25 AND RSI between 55 and 70 AND MACD Main > Signal AND Bullish engulfing
# HIGH-FREQUENCY M5/M15 CONCURRENT ENTRY SNIPER import time class HighFrequencySniper: def __init__(self): self.target_profit = 25.00 # Targeted Delta Move self.max_execution_time = 3600 # 1 Hour Sandbox (Seconds) self.lot_allocation = "CALIBRATED_TO_RISK" def execute_hft_scan(self, current_price, m5_rsi, m15_order_block): print(f"[SCANNING] Current Kernel Metric: ${current_price:.2f}")
I need a trading bot, please i need this project urgently and when messaing me kindly send me samples of past works and dont forget i need the project to be done as soon as possible
Looking for an MT5 Expert Advisor developer with: Minimum 1 year of verified activity on the MetaTrader Market Positive, real user reviews Ability to build EAs without Bollinger Bands Fully configurable parameters (risk, filters, SL/TP, trading hours) Free test version available before any payment Clear communication and ongoing support If you meet these requirements, please send your MQL5 profile or portfolio

Projektdetails

Budget
300 - 500 USD
Ausführungsfristen
bis 10 Tag(e)