Convert Mql5 EA to Python bot

Project Description I am looking to collaborate with an experienced MQL5 / algorithmic trading developer who also has hands-on experience with Large Language Models (LLMs) and AI-driven systems. This is a long-term partnership opportunity , not a one-off paid freelance job. I bring 9 years of practical Elliott Wave trading experience , applied in live market conditions. The objective is to translate Elliott Wave

My expert already has the rest of the required features implemented . Bring in your support and resistance expert to save time . My expert already has money management , session filter etc . Trailing is threshold based . Please send a picture as well to show your expert on a live chart . Most specific is the 5m tf , to 1m execution

I’m looking for one person who is both a Forex trader and a programmer . I don’t want a coder who only writes code without understanding the market, and I don’t want a trader who can’t program. I want someone who actively trades and understands market behavior, liquidity, volatility, and risk management. Most importantly, the bot must be built using real artificial intelligence that learns and adapts , not just

Hello. I am finding an experienced python developer who can implement my trading strategies into robots. I like trend-following swing trading strategies and am going to automate my idea. More details can be discussed by chatting. If you have similar working experience it can be a plus. Thanks

- Bring in your support and resistance expert to save time . - My expert already has money management , session filter , threshold based . - Also show a screen or a picture of the chart showing the support and resistance on live chart

hello great developer Looking for an experienced Web3 / crypto bot developer to build a copy-trading bot for Polymarket . The bot should track selected traders or wallets in real time and automatically replicate trades with minimal delay. Experience with Polymarket, blockchain APIs, and low-latency trading bots is required. Open to custom features and long-term collaboration. Platform: Polymarket (Web3 / API-based)

This strategy is built around the idea that price seeks liquidity, and that retail traders often get trapped around key highs and lows. Instead of entering trades before price hits liquidity, this playbook waits for the market to run stops (take liquidity) and then trade the reversal after the trap is formed. The concept is simple: buy below lows, sell above highs, but only when those lows or highs have respected

* Use Fibonacci retracement (with adjusted values) to scale entry points. * Timeframe may differ depending on the projected target; but the Fibonacci conditions remain the same * date range into consideration as well * Applicable to indices, crypto and metals. * Activate entries on the second half of my fib *Usually takes the whole week to unfold (5 - 7 days) * Timeframes to consider 5m/15m, H1/H2 The attached images

I am planning to integrate auto trading from python directly to broker terminal. Core Trading Setup Python ↔ Broker API integration Login & token management Market data (REST + WebSocket) Order placement / modification / cancellation Multi-strategy orchestration (50+) ✅ Infrastructure VPS setup (Linux preferred) Static IP handling & broker whitelisting Process supervision (systemd / supervisor) Logging, retries

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