명시
🧠 Developer Wanted: Build ETERNA PRO AI – Advanced Cloud-Linked AI Trading System (MT5/MT4 + Python Integration)
Project Type: ETRNA PRO AI Trading System
Platforms: MetaTrader 5 & 4 (MQL5/MQL4) + Python (TensorFlow / LightGBM)
Budget: $50 - $150
Timeline: 21days
🔹 PROJECT OVERVIEW
We are building ETERNA PRO AI, a next-generation, self-learning Artificial Intelligence trading system, not a typical EA. It must operate independently using pure AI logic — no indicators, no human input, and full cloud persistence. This system is meant for automated, high-frequency, low-risk trading on small and large accounts (as small as $10), with adaptive SL/TP, risk scaling, and aggressive compounding.
🔧 CORE DEVELOPMENT REQUIREMENTS
We are looking for a highly skilled AI + MQL developer (or team) who can:
✅ Build a cloud-linked AI trading system for MT5 and MT4
✅ Integrate Python-based AI engine (e.g., TensorFlow / LightGBM / DRL) with MQL
✅ Code a fully automated EA with no indicators, using raw price action, microstructure, and order flow analysis
✅ Implement 50–100+ trades/day logic with adaptive SL/TP based on:
Device (mobile vs. desktop)
Market timing
Volatility
✅ Create a cloud-persistent brain that keeps running logic even if user disconnects
✅ Design a secure license locking system (1-key per account, hardware + account ID validation)
✅ Implement AI Recovery Mode, trailing profit lock, and self-correcting SL/TP management
✅ Auto-update the logic monthly (cloud-synced updates)
KEY TECH FEATURES TO IMPLEMENT
AI Core Engine:
Deep Reinforcement Learning (DRL)
LightGBM models
AI decision logic with historical learning and forward adaptation
Trading Engine:
No indicators used
Price action, time-of-day, market session logic
50–100+ trades/day
Smart direction switching (Buy → Sell flip logic)
Auto Lot Sizing & Dynamic Risk Scaling
Internal equity monitor, margin control, drawdown recovery
Cloud Infrastructure:
Remote logic execution (cloud persistent)
Licensing & auto-update validation system
No VPS needed, but logic must still function if user disconnects
Security & Licensing:
License key must be encrypted, locked per user/account
Offline bypass not allowed (anti-piracy protection)
IDEAL DEVELOPER PROFILE
We are looking for someone with:
🔹 Proven experience with MQL4/MQL5 EA development
🔹 Strong knowledge of AI integration in trading systems
🔹 Experience with cloud APIs / Python-MQL bridging
🔹 Understanding of risk management, HFT, trade scaling, and price action logic
🔹 Ability to build secure licensing systems
TO APPLY
Please include the following:
Portfolio of past EA or AI-based systems you’ve built (MQL + AI/Python examples)
Details on how you'd implement AI logic in MT5/MT4
Your proposed tools, libraries, and cloud setup
Timeline and pricing estimate
📌 Notes
This is not a typical EA. We want a next-gen, institution-style, self-learning AI that can compete with top-tier market systems. Your expertise and creativity will shape the future of automated AI trading.
응답함
1
등급
프로젝트
63
52%
중재
5
0%
/
40%
기한 초과
1
2%
무료
2
등급
프로젝트
1
0%
중재
0
기한 초과
0
무료
3
등급
프로젝트
0
0%
중재
1
0%
/
0%
기한 초과
0
무료
게재됨: 6 기고글
4
등급
프로젝트
473
40%
중재
103
41%
/
23%
기한 초과
78
16%
바쁜
게재됨: 2 코드
비슷한 주문
The indicator a bit inverted. But it doesn’t matter to me as long as the winrate make sense for investment. For brief details regarding the indicator. What should have been a sell, i inverted it into buy with sl and tp swapped(only change the name of sl and tp for visualisation , but the code still on right tp and sl) . And in script ive inverted the signal command code. But the trouble is the tp and sl cant be
Reverse grid trading bot for crypto exchange
300 - 550 USD
Hello, I want a grid trading bot for the Gate.io crypto exchange. I currently have a working grid bot written in MQL5, and I want a similar bot implemented in Python. The MQL5 bot can be translated, but the codebase is large and it was not designed to be easily ported to Python. Therefore, I prefer that the final Python bot preserves the same core grid logic, but is implemented cleanly in Python rather than doing a
Please explain all the details, including the entry and exit conditions . Refine signal trigger execution . Optimize live chart performance . Ensure stable and clean code structure : Stable and clean code is important . Otherwise its a mess . Apply with as much accurate structure you foresee . requests for details of the project will be ignored
Phahla fx boto
30+ USD
99.99% signal accuracy 10-15 trades distribution all currency trade and meta AI assistance on loss[advice] stop and start robot cyber security firewall protection activation code: 20060605TLP20 Please create a trading bot with any logo with the name elevation
Refine signal trigger execution . Optimize live chart performance . Ensure stable and clean code structure : Stable and clean code is important . Otherwise its a mess . Apply with as much accurate structure you foresee
Copy trading bot
80+ USD
Here is what I’m looking for: • Signal source: On-chain wallet address monitoring. I want to copy trade high win-rate meme coin wallets (smart money / profitable traders), not Telegram signals. • Market: Crypto (primarily meme coins). • Execution speed: Very important — I want as close to sub-second execution as possible. Low latency is a top priority. • Infrastructure: I’m open to self-hosted VPS or cloud setup if
This post is subject to developers response . Edit the post as you like . May be with me you can make a come back . So , , , Shift calculations . More to the calculation then you can comprehend is known . What else comes to your mind
I’m hiring an experienced MQL5 developer to finish and fix an existing project (NOT building from scratch). I have: An existing MT5 EA (.mq5 + .ex5) that is based on my TradingView logic A TradingView indicator version used for signals/alerts The EA works but has logic/consistency issues and needs improvements + cleanup Goal Make the EA reliable and consistent: Ensure entries/exits match the intended logic Fix
Ai robot
30 - 50 USD
1️⃣ System Architecture An AI robot typically consists of the following subsystems: 🔹 1. Perception Layer Collects environmental data using: RGB / Depth cameras LiDAR Ultrasonic sensors IMUs (Inertial Measurement Units) Microphones Data is processed using: Computer Vision (e.g., object detection, SLAM) Signal processing Sensor fusion algorithms 🔹 2. Cognition / Intelligence Layer Implements AI models such as
Trailing Stop Based on Thresholds . Other Necessary Filters already Coded . Live Chart Only . The strategy already coded - needs a fresh new draft . To Start from Signal Trigger
프로젝트 정보
예산
50 - 150 USD
기한
에서 7 로 21 일