FreelanceKategorien

Senior MQL5 Expert: Risk-Free Execution Logic (40/30/30)

MQL5 Experten Forex Python Hochladen von Daten auf eine Webseite

Spezifikation

This is the Requirements Specification for your project, formatted to be clear, concise, and structured. This document will allow a professional MQL5/Python developer to accurately estimate the complexity, time, and cost of building your IATS.
IATS Project: Expert Advisor (MQL5) & Python Hub Specification
Job Title: AI-Validated Algorithmic Execution System Developer (MQL5/Python)
Project Goal: Build the high-speed execution engine and orchestration layer for a risk-first automated trading platform.
I. System Architecture & Environment
| Component | Responsibility | Technology | Requirements |
|---|---|---|---|
| Execution Engine | Trade Management, Data Feed, Auditing. | MQL5 (MT5) | Must be compiled for MetaTrader 5 (64-bit). |
| Orchestration Hub | AI Calls, Risk Calculation, Dashboard Server. | Python 3.10+ (with requests, Streamlit, SQLite) | Must run reliably 24/7 on a Windows VPS. |
| Communication | Bidirectional link between Python and MQL5. | Local HTTP/WebSockets (or file-based bridge) | Must ensure near-instantaneous (low-latency) command execution. |
| Risk Boundary | Max Risk Per Trade. | 1.0% of current account equity. | Non-negotiable hard limit. |
II. Module 1: MQL5 Expert Advisor (The Engine)
The MQL5 EA must perform three core functions: Execution, Management, and Data Fetching.
A. Execution and Lot Sizing
 * Instruction Input: The EA must constantly listen for and accept a single JSON command payload from the Python Hub, containing: Symbol, Type, Entry, SL, TP1, TP2, TP3, and the three pre-calculated Lot Sizes (\mathbf{40\%/30\%/30\%}).
 * Order Placement: Upon receiving a command, the EA must immediately open three separate market orders (Orders A, B, C) simultaneously for the target symbol, ensuring all orders share the same Initial Stop Loss (SL) but have unique Take Profit (TP) levels (TP1, TP2, TP3, respectively).
 * Unique Tracking: All three orders must be placed with a shared, custom Magic Number for unit tracking.
B. Mandatory Trade Manager (40%/30%/30% Protocol)
This logic must be implemented inside the OnTick() loop and use status flags to ensure rules are only executed once per trigger.
| Rule | Trigger Condition (Example: BUY Trade) | Required Action (Using PositionClosePartial and PositionModify) |
|---|---|---|
| Rule 1: Risk Elimination | Current Price (Bid) >= TP1 | 1. Close Order A (40% volume). 2. IMMEDIATELY Modify SL for the remaining \mathbf{60\%} (Orders B & C) to the Initial Entry Price (Breakeven). |
| Rule 2: Profit Securing | Current Price (Bid) >= TP2 and Rule 1 is complete. | Close Order B (30% volume). |
| Rule 3: Final Close | Current Price (Bid) >= TP3 and Rule 2 is complete. | Close Order C (30% volume), concluding the trade cycle. |
C. Data Feed and Auditing
 * Market Context Feed: The EA must calculate and package two pieces of data to send to the Python Hub upon request:
   * Trend Bias: Current price position relative to the 200-period EMA on the H4 timeframe (ABOVE or BELOW).
   * Volatility Check: Current Bid/Ask Spread in pips.
 * Audit Data Capture: Upon complete closure of the trade unit (Orders A, B, C are closed), the EA must calculate and log:
   * Final P/L (Profit/Loss).
   * Trade Duration.
   * Maximum Intrade Drawdown (MID): The largest unfavorable movement suffered by the position from the entry price before final closure.
III. Module 3: Python Orchestration Hub
The Python Hub manages external communication, the AI pipeline, and the final risk gate.
A. Core Risk and Lot Sizing
 * Maximum Risk Enforcement: The Hub must calculate the Total Lot Size based strictly on the current account balance and the \mathbf{1.0\%} risk limit, using the \text{SL} distance extracted by Agent 1.
 * Volume Allocation: The calculated Total Lot Size must be split into 40\%, 30\%, and 30\% components before being sent to the MQL5 EA.
B. Three-Stage Gemini AI Pipeline
The Hub must execute three sequential, independent calls to the Gemini 2.5 Flash API (TEXT_API_URL) for every incoming signal. The pipeline halts on any Veto signal.
| Agent | Input Data | Output Veto Rule |
|---|---|---|
| Agent 1: Translator | Raw Telegram Text | VETO: If JSON output is malformed or critical data (SL, TP) is missing. |
| Agent 2: Auditor | Raw Telegram Text | VETO: If Confidence Score is below 80 (threshold must be dynamically adjustable via the Streamlit Dashboard). |
| Agent 3: Strategist | Clean JSON from Agent 1 + Market Context Data from MQL5 | VETO: If the AI determines the trade violates a strategic rule (e.g., trading against the H4 200 EMA, or Spread > 2.0 pips). |
C. Dashboard and State Management
 * Streamlit Integration: Host the Streamlit web application on the VPS, dynamically reading and writing configuration variables (the three AI Prompts and Veto thresholds) to the SQLite database.
 * Live Data Integration: Pull and display current equity, P/L, and the logged MID/Audit data from the SQLite database onto the dashboard.
 * Gemini Dashboard Features: Implement the Auto-Refine Prompt (Text Generation API) and the TTS Weekly Recap (TTS API).
IV. Required Expertise & Timeframe
| Requirement | Level | Note |
|---|---|---|
| MQL5 Development | Expert | Deep experience required with complex order modification (PositionModify) and partial closures (PositionClosePartial). |
| Python Development | Expert | Required for multi-API orchestration (Gemini, Telegram), database management, and web framework (Streamlit) deployment. |
| Development Time | 8 Weeks | This is the minimum required timeline for clean coding and rigorous cross-platform testing of the complex bi-directional communication layer and trade management logic. |

Bewerbungen

1
Entwickler 1
Bewertung
(22)
Projekte
30
20%
Schlichtung
8
63% / 13%
Frist nicht eingehalten
9
30%
Frei
2
Entwickler 2
Bewertung
(12)
Projekte
47
85%
Schlichtung
1
0% / 100%
Frist nicht eingehalten
9
19%
Frei
3
Entwickler 3
Bewertung
(328)
Projekte
513
19%
Schlichtung
34
44% / 32%
Frist nicht eingehalten
34
7%
Beschäftigt
4
Entwickler 4
Bewertung
(169)
Projekte
202
48%
Schlichtung
5
20% / 60%
Frist nicht eingehalten
2
1%
Frei
5
Entwickler 5
Bewertung
(2)
Projekte
1
0%
Schlichtung
1
0% / 100%
Frist nicht eingehalten
0
Frei
6
Entwickler 6
Bewertung
(13)
Projekte
13
38%
Schlichtung
1
0% / 100%
Frist nicht eingehalten
1
8%
Frei
7
Entwickler 7
Bewertung
(4)
Projekte
4
25%
Schlichtung
0
Frist nicht eingehalten
0
Frei
Veröffentlicht: 2 Artikel
8
Entwickler 8
Bewertung
(74)
Projekte
84
64%
Schlichtung
5
100% / 0%
Frist nicht eingehalten
9
11%
Frei
9
Entwickler 9
Bewertung
(16)
Projekte
35
23%
Schlichtung
4
0% / 50%
Frist nicht eingehalten
2
6%
Arbeitet
10
Entwickler 10
Bewertung
(298)
Projekte
477
40%
Schlichtung
105
40% / 24%
Frist nicht eingehalten
81
17%
Beschäftigt
Veröffentlicht: 2 Beispiele
11
Entwickler 11
Bewertung
(16)
Projekte
20
0%
Schlichtung
10
0% / 80%
Frist nicht eingehalten
6
30%
Frei
12
Entwickler 12
Bewertung
(16)
Projekte
23
17%
Schlichtung
4
50% / 25%
Frist nicht eingehalten
4
17%
Beschäftigt
13
Entwickler 13
Bewertung
Projekte
1
0%
Schlichtung
1
100% / 0%
Frist nicht eingehalten
0
Frei
Ähnliche Aufträge
Need Custom MT4 Indicator through cracking file (Non-Repaint, Same Signal Logic as Existing Tool, Legit PC ID system ) 150 - 350 USD
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
Looking for an experienced programmer to create an EA 60 - 100 USD
Patricia Ukawilu 6:43 PM I need help creating an EA to optimize my trade. I already have a preliminary pine script which I will want optimized and create an EA from it to optimize my trade on MT4. I also subscribed to a signal app. I’m looking to automate the execution of the signal from the app so as not to miss out on good trades

Projektdetails

Budget
100+ USD
Ausführungsfristen
von 1 bis 20 Tag(e)