Develop 9-EMA VWAP Bot

@MqlcoderHub

Hi, I’ve built several Python trading bots with real-time market data, EMA/VWAP strategies, broker API integrations, and AWS deployments. I can deliver a clean, production-ready solution with secure environment variables, CloudWatch logging, and clear documentation for reliable automated trading. Portfolio: https://www.freelancer.com/u/MqlcoderHub?frm=MqlcoderHub&sb=t Best, Fasih

@Rsolitario

Hello, I have experience creating indicators and strategies for financial markets, so I can complete the script you need without any problems. Feel free to contact me. Best regards.

@omarz33

Hello, I'm excited to tackle your project on developing a 9-EMA VWAP Bot in Python. I understand the importance of a clean, production-ready solution that trades automatically using a specific strategy. Here's how I plan to approach this: - I will ensure the script streams live market data, calculates indicators in real-time, and executes trades promptly based on generated signals. - By integrating your broker's REST API, the bot will autonomously manage orders without the need for manual intervention. - The solution will be designed to run seamlessly within an AWS environment, leveraging EC2 or Lambda, with secure handling of keys and secrets using environment variables. With a focus on clear code structure, comments, and easy maintenance, I will deliver a reliable solution meeting your requirements for speed, stability, and readability. Let's discuss further to align on the specifics. Thank you for considering my proposal.

@UmairBuildsAI

Hey, I can help build a production-ready Python trading bot using your 9-EMA and VWAP strategy with real-time data processing, automated order execution, and reliable AWS deployment. You can review my work here: https://www.freelancer.pk/u/UmairBuildsAI I have experience building Python-based automation systems, API integrations, and cloud-deployed applications. For this project, I’ll structure the bot with clean modular functions for market data streaming, indicator calculations, signal handling, and broker API order management. I’ll securely manage credentials through environment variables, configure AWS deployment, add proper logging for monitoring, and provide clear setup instructions along with testing steps to verify data flow and order execution. The focus will be on maintainability, stability, and easy future enhancements. One quick question: which broker REST API will the bot connect with, and do you already have the API documentation and sandbox/test environment available? Best Regards, Umair

@shailender18

Greetings, I see you're looking for a production-ready Python trading bot that can automate strategy execution using EMA and VWAP indicators with reliable broker API integration. I can help you build a clean, maintainable solution with real-time data processing, automated order management, and AWS deployment support. I will structure the code with clear modules, secure environment-based configuration, proper logging through CloudWatch, and deployment instructions for EC2 or Lambda. The system will include testing steps to verify market data flow and order execution functionality. With experience in Python development, API integrations, cloud deployment, and automation systems, I focus on building stable and scalable solutions that are easy to maintain. Looking forward to helping you develop this automated trading system. Best regards, Shailender

@tatumm17

I can deliver a production-ready Python trading bot that streams live data, computes 9-EMA + VWAP in real time, and executes trades via your broker’s REST API with no manual intervention, optimized for speed and stability. I’ve built automated trading systems on AWS using EC2 and Lambda, wiring environment-based secrets and structured logging into CloudWatch. I focus on clean, testable code, clear functions, and fully specified requirements.txt. I’d structure the bot as a small, maintainable package with clear modules, comments, and copy-paste deployment steps for a fresh AWS instance, plus a simple live test to confirm data flow and order submission. I would love to chat more about your project! Regards

@HafizMArhamAli

Hi, I have solid experience in this type of work and can handle exactly what you’re looking for with clean, professional results. I focus on delivering quality, staying on schedule, and making sure everything meets your expectations. I’m ready to get started and can adapt to your preferred style or requirements. We can discuss the details further in chat to clearly define the scope and make sure everything is aligned. Looking forward to working with you. Thanks,

@Shannonkb21

We recently helped a client achieve a fully automated trading solution using a similar strategy — and judging by your post, it sounds like we could do the same for you. We've worked on automated trading bots and would love to bring that experience to your project. From your post, it sounds like you're looking for something clean and production-ready, specifically around a 9-period EMA + VWAP strategy. We specialize in Python development, AWS deployment, and broker API integrations, and we have 75+ 5-star reviews on similar projects and rank in the top 1% among 75 million users! I would love to help you with your project! The worst that can happen is you walk away with free consultation. Regards, Shannonkb21

@jblignau42

To kick off the 9-EMA VWAP bot, I'd use Python to interface with financial APIs and calculate the necessary indicators. Setting it up on AWS Lambda offers scalability and reliability. How are you handling data sources? I'd love to get started, message me, and let's make this happen!

@bohdanmelnykua

Hi! Building automated trading bots in Python is my main line of work - live data streaming, indicator maths, and pushing orders through broker REST APIs. I've done a couple of EMA/VWAP setups and usually run them on EC2 with everything logged to CloudWatch, keys kept in env vars like you described. Which broker are you on, and does its API give a websocket feed for the live prices or is it REST polling?

@badrez2

Hi there, Trading real money on a 9-EMA/VWAP crossover means one bad tick or a duplicated order can hurt your account — so before "clean code," our focus is a bot you can trust to place, modify, and cancel orders unattended without ever firing twice. You get a production-shaped Python bot that streams live data over WebSocket, computes a correctly session-anchored VWAP (reset each session, not a rolling average) and an incremental 9-EMA, and acts only on closed candles to avoid repainting — with a kill-switch, position limits, and auto-reconnect built in. We've already delivered a multi-pair, multi-timeframe trading signal-detection agent and an idempotent, retry-safe execution layer with dry-run, so this isn't new ground for us — happy to share those repos. We've also built a working POC of your bot to de-risk the approach. Plan: (1) config + env/CloudWatch scaffolding, (2) data + indicators, (3) signals + resilient order execution, (4) EC2 deploy runbook + PASS/FAIL smoke test in paper mode. First working slice in ~5 days, milestone payments per phase. Two things that shape everything: which broker/API (Kite, Angel One, Upstox, Fyers, Dhan)? And which timeframe drives the crossover? One note — Lambda can't hold a persistent WebSocket, so we'd recommend EC2 + systemd. Shall we talk?