Real-Time Multi-Broker Trading Bot

@Milvetti

Hi, we can help you with your multi-broker, multi-tenant trading platform (Zerodha, IB, Binance). We offer lifetime bug fix guarantee. As Milvetti, we help traders automate their strategies. Price is an estimate and may vary by scope.

@Vikasv8

With a rich background in full stack development and over six years of experience, I am well equipped to build the real-time multi-broker trading bot you need. My proficiency lies in JavaScript, Angular, React, and NodeJS—which makes me versatile in creating a scalable and responsive platform like yours. Apart from this, my expertise extends to working with different databases (SQL and NoSQL) and APIs (including Google Adwords and Google Map), enhancing my ability to connect various systems in your trading bot project. I understand the criticalities of live trading and developed websockets extensively for real-time applications. I can leverage this knowledge to give your trading bot low latency execution alongside WebSocket or FIX support wherever applicable. Additionally, my experience with different UI frameworks including Material UI, core-ui, assures you an intuitive and tailored dashboard where each user can connect their API keys, monitor their trades, and determine P&L effectively. The deliverables would be of utmost quality as I'm deeply committed to client satisfaction. Over the years, I have honed my skills not only in execution but also in writing methodical codes that are easy to navigate.

@shabahathabib

Hello,You’re building a serious multi-market trading system — execution accuracy, modular broker adapters, and low-latency performance are critical. I can develop a production-grade trading engine in Python (asyncio/FastAPI) or Node.js, with a clean modular adapter layer for Zerodha, Interactive Brokers, and Binance (WebSocket/FIX where supported). Architecture will include: • Broker abstraction layer (plug in new brokers without touching core engine) • Strategy engine (scalping/day/swing templates included) • Real-time order routing, position sizing & risk controls • Multi-tenant dashboard for API key management, live P&L, logs • Reconcilable trade logs + paper/live mode testing Git-based workflow, documentation, and deployment guide included. Ready to architect this properly from day one and begin immediately. BEST REGARDS' SHABAHAT HABIB*

@prabhathk5

Thanks for sharing the details. I’ve reviewed your requirement and would be glad to discuss it further. I’m Prabhath, an experienced MQL4/MQL5, Pine Script, Python, and C++ developer specializing in automated trading systems and institutional-grade algorithmic solutions. I develop Expert Advisors, indicators, dashboards, data tools, and custom trading utilities for MT4/MT5, TradingView, and standalone platforms. Along with MQL5 systems, I also build fully automated trading software in Python and C++ for Indian stock markets and global exchanges (US, EU, and others). These solutions can be tailored for stocks, indices, futures, forex, and crypto based on project needs. As an active trader, I work with ICT, SMT, market structure, liquidity models, order blocks, FVGs, VWAP, and volume-based logic, ensuring each strategy follows the client’s trading methodology. My expertise includes institutional-grade EA and indicator development, ICT/SMT-based trading systems, Pine Script automation, Python and C++ systems for Indian and global markets, backtesting, paper trading and live trade integration, strategy optimization, and low-latency execution. I also fix, optimize, and enhance existing trading systems to make them stable and production-ready. Where permitted, I can share demos or walkthroughs of previously completed projects while respecting client confidentiality. Thank you for your time and consideration.

@prashanpatel557

Hello, I can build a production-ready, multi-broker trading engine with modular architecture and true plug-and-play broker adapters. Proposed Architecture Backend (Python + Flask + asyncio): • Core event-driven trading engine • Broker adapter layer (Zerodha, IBKR, Binance isolated modules) • Strategy layer (scalping / intraday / swing templates) • Risk engine (position sizing, exposure cap, max DD, per-user limits) • Order router with idempotent execution + reconciliation Real-time: • WebSocket integration where supported • Non-blocking execution threads • Auto-reconnect + state recovery Database: • SQLite for trades & users • Redis for fast event processing Dashboard (React or lightweight Dash): • Multi-tenant login • API key management (encrypted storage) • Strategy toggles per user • Live P&L, open orders, logs Extensibility New broker = new adapter file only. Core engine untouched. Deliverables • Clean commented source • Deployment guide (VPS-ready) • Sample strategies • Paper + live test validation Designed for accuracy, low latency, and future broker expansion. Ready to define architecture and milestones immediately.

@bhartimalu

Hello, I am excited about the opportunity to develop a real-time multi-broker trading bot for you. - I have experience in building trading bots using Python and APIs for live trading. - My plan includes: 1. Requirements gathering 2. Designing architecture 3. Development and testing 4. Deployment and monitoring - I will use Python, Flask, and relevant trading APIs. - The project can be completed in 4-6 weeks with regular updates. Choose me for my commitment to quality and timely delivery. What specific features do you need? Are there any preferred brokers? Regards, Bharti M.

@GobindSawarn

With a keen focus on performance, usability and long-term maintainability, I believe my skills in Python and React.js would make me an ideal fit for your real-time multi-broker trading bot project. Having built a range of solutions from custom admin panels to full business platforms, I have a wealth of experience in creating software that is both reliable and scalable. One of my key strengths is my ability to bring clarity and direction to projects - even if the brief isn't fully defined yet. This means I'm not only able to deliver what was agreed but also to offer valuable insights and suggestions that can enhance the final product. In terms of this project, I'd ensure your trading bot has modular adapters for each of your required brokers whilst keeping it open enough for expansion in the future. Moreover, as a developer who prides themselves on excellent communication, you can rest assured you'll be kept up-to-date every step of the way with regular progress reports. I would be highly committed to testing and ensuring your acceptance criteria are met. Thank you for considering my candidacy, I hope we can discuss how we can turn your idea into a highly efficient and user-friendly reality!

@Sahyadri96

Completed projects till now 1) Python + DhanAPI +Excel + VBA option scalping strategy 2) Python 21 EMA and 9 EMA crossover strategy on DhanAPI 3) Google sheet + FyersAPI trading 4) Google sheet + Algomojo + Upstox 5) Tradetron Banknifty option scalping strategy 6) Excel 2600 NSE 10 years data 7) Copytrading using python 8) Tradetron Supertrend + MACD Crossover Strategy 9) Dhan option chain with Greeks in Google spreadsheet via Google Appscript 10) Backtesting of Nifty options for wait and trade strategy 11) Trigger orders for Dhan Nifty options 12) Shoonya API:- Wait and trade strategy 13) Tradetron: RSI + ADX + EMA strategy 14) Python Moving avarage channel trading Algo 15) Kotak Neo: Turtle scalping strategy for options 16) Fyers Filtered option chain in Excel I can deliver any project in Trading. Readymade setups for Python available

@Hemantt841

I was immediately drawn to your Real-Time Multi-Broker Trading Bot project description, especially the requirement for seamless integration with multiple brokers and the need for a user-friendly dashboard for traders. With over 7 years of experience in software development, I am confident that I can deliver a solution that meets your needs. Here is my approach to completing this project: - Develop a trading engine with modular adapters for Zerodha, Interactive Brokers, and Binance using Python and Node.js - Implement a strategy layer that supports scalping, day-trading, and swing-trading logic with customizable templates - Create a multi-tenant dashboard using React.js for account management and real-time monitoring - Utilize WebSocket and FIX support for low latency order routing and position sizing - Provide a comprehensive deployment guide and well-commented source code for easy maintenance In a similar project for a financial institution, I built a real-time trading platform that processed thousands of transactions per second across multiple markets. The outcome was a significant increase in trading efficiency and profitability for the client. As I delve into this project, I'm curious about the specific risk controls and position sizing parameters you would like to see in the trading bot. Your feedback will ensure that the software aligns perfectly with your trading str

@SmithKieran

We have just completed a similar project helping a client automate multi-market trading with real-time strategy execution and modular broker integration. My team developed a scalable engine connecting to APIs like Zerodha, Interactive Brokers, and Binance, with low-latency order routing and multi-user dashboard controls. The architecture is designed for seamless addition of new brokers without any core changes, ensuring flexible expansion as your needs grow. I'd love to chat about your project! The worst that can happen is you walk away with a free consultation. Regards, Kieran.

@prashantbisht89

Hi, I can build your production-ready automated trading platform covering Indian exchanges, Forex, and Crypto — integrated with Zerodha, Interactive Brokers, and Binance from day one.

@simar2176

Hello Sir, Greetings of the day !! Your requirement is exactly the kind of architecture-heavy trading system I specialize in. With **9+ years of backend engineering experience**, including enterprise exposure at **Infosys and TCS**, I have built low-latency, broker-integrated automation systems designed for scalability and precision. I can deliver a **production-ready multi-market trading engine** with a clean modular architecture: **Core Engine Architecture** • Event-driven execution engine (async, low-latency) • Broker adapter layer (Zerodha, Interactive Brokers, Binance on Day 1) • WebSocket/FIX integration where supported • Abstract broker interface so new brokers plug in without core rewrite **Strategy Layer** • Strategy interface (scalping, day, swing templates included) • Risk engine (position sizing, max DD, capital allocation) • Order routing & reconciliation layer • Tick-level logging + trade audit trail **Multi-Tenant Dashboard** • Secure API-key management per user • Strategy toggle (on/off per account) • Live P&L, open orders, execution logs • Web-based dashboard (React + FastAPI/Django backend) **Infrastructure** • Redis for real-time state • PostgreSQL for trade history • Background workers for execution • Deployment-ready (Docker-based) Looking forward to discussing execution details. Best regards, Mohit Sharma Algorithmic Trading Systems Architect | 9+ Years Experience