Algo Trading Platform Project

@vishal1145

Your backtesting engine will fail in production if you don't separate historical simulation from live order execution - I've seen teams lose $50K in a single day when test logic accidentally triggered real trades. Before architecting the solution, I need clarity on two things: What's your target order latency requirement (sub-100ms for HFT or 1-2s for swing strategies)? And are you planning multi-user deployment where different traders run isolated strategies, or is this single-tenant? Here's the architectural approach: - FASTAPI + WEBSOCKETS: Build async order execution pipeline with real-time position updates pushed to dashboard, eliminating polling overhead that causes stale data during volatile markets. - DOCKER + POSTGRESQL: Containerize the entire stack with persistent trade history storage, ensuring you can replay any trading session for compliance audits and strategy refinement without data loss. - PYTHON BACKTESTING: Implement walk-forward validation with out-of-sample testing to prevent overfitting - your current backtest likely shows 80% win rate that drops to 40% live because it's trained on the same data it tests. - DHAN API + PAPER MODE: Add idempotency layer and order state machine to handle network failures gracefully - Dhan's API will timeout during market open, and you need retry logic that doesn't duplicate orders. - FLASK DASHBOARD: Migrate authentication to JWT tokens with role-based access so you can give read-only access to investors without exposing strategy parameters or allowing accidental order cancellations. I've built 3 algo trading platforms that processed 200K+ orders daily without missing fills. Two questions stood out in your doc - you mentioned "paper trading mode via configuration" but didn't specify how you're preventing test orders from hitting production APIs. Let's discuss fail-safes and the database schema before you start storing real money transactions.

@AbhyudayaCodes

Hi, Sir/Madam ! Warm Greetings !! We are a team of expert algo trading systems developers, having vast experience in algo trading field, mainly using Python. We have built the following types of algos: > NSE/MCX Markets > Algos trading F&O, Stocks, Spreads, Straddles, Cryptos & Commodities > Indicator/price movement based algos > Desktop/server based > Multi client systems > Systems with Stop loss, Trailing SL, Target Profit, Martingale, Qty Splitter, Multi Timeframe, Stock Screening, etc. > Have built custom timeframes and indicators > Brokers like Zerodha, Fyers, Angel One, Dhan, IBKR, etc. > Chart patterns like Heikin Ashi, Renko, Marubozu, etc. The features we provide: > Multiple Instance system > Orderbook and logs built into the system > User friendly UI to manage everything > Emergency Safety buttons > The algo can be operated from mobile as well > Complete statistics of the algo as per strategy, including running and booked P&L > Paper trading as well as Live trading > Editable input boxes for modifiable parameters No technical knowhow required for operating the algos developed by us. We focus on delivering quality to our clients, keeping in mind safety, security, aesthetics, scalibility, etc. Considering our skill set and experience, we think we will be a perfect fit for your project. Looking forward to working with you ... Message us to discuss further

@quan9824

Hi. I can help transform your Algo Trading Platform into a production-ready, secure, and fully deployed trading system. With experience in Python-based trading architectures, broker integrations, and scalable backend design, I can complete the missing capabilities while preserving your existing modular structure. My approach will focus on: • Implementing persistent storage (SQLite/PostgreSQL) for trades, strategies, and configurations • Adding secure authentication and role-based access control • Completing the live order execution workflow with proper status tracking • Strengthening error handling, logging, and API reliability • Enhancing dashboard functionality with real-time updates and improved analytics • Adding performance metrics (P&L, win/loss ratios, drawdown tracking) • Improving UI responsiveness and cross-browser stability • Preparing deployment-ready packaging (Docker, environment configs, documentation) The goal is to stabilize the backend, secure the platform, complete live trading integration, and polish the dashboard into a professional-grade application ready for real-world deployment. I will work in structured milestones with testable deliverables, clear documentation, and clean, maintainable code to ensure long-term scalability and reliability. Next step: we can define priorities, timeline, and deployment targets to align the development roadmap.

@johibkhan

Hi, As a seasoned software developer, I have spent the last 15+ years honing my skills and working on projects that require advanced problem-solving and algorithms, particularly in the trading and fintech domains. I have led teams in delivering complex trading platforms, which included functionalities such as efficient order placement, portfolio management, risk-based position sizing, and real-time market data processing – all essential components that align perfectly with your project's objectives. My proficiency in Python is especially noteworthy here: I've built highly-performant backtesting engines, integrated with various brokers' APIs, implemented resilient error handling systems, and designed scalable architectures that would be indispensable for your algo trading platform. Moreover, I specialize in developing secure and robust platforms capable of handling complex real-time workloads - a significant requirement for any trading system. My experience across different verticals and frameworks like Django greatly improves my versatility, ensuring I can adapt to your unique needs with ease.

@sant527

I am interested in this work. I worked in python (backend) and Js/react (frontend) FastAPI / flask/ Django Google Cloud Platform (Cloud Run, Firestore, Pub/Sub, IAM) AWS worked with ECS, EC2, AWS networking GitHub Actions/Jenkins Docker & Kubernetes Multi-tenant SaaS Architecture RAG pipelines, chatbots, deployment in clound If you are interested please ping me, we can discuss more details on this

@hr157

Hello, I’m a full-stack developer with 10+ years of experience building scalable web platforms, automation systems, dashboards, and API-driven applications using Python, PostgreSQL, JavaScript, and modern backend architectures. Your algo trading platform already has a strong modular foundation, and I can help stabilize, secure, and complete it into a production-ready trading system. I’ve worked extensively with dashboard development, broker/API integrations, database architecture, authentication systems, analytics modules, and performance optimization. I can help implement persistent storage (SQLite/PostgreSQL), complete the live order execution workflow, improve error handling, strengthen authentication/access control, and polish the responsive UI/UX for a more professional trading experience. I’m also comfortable working with existing codebases, improving architecture incrementally without disrupting current functionality. Why hire me? I focus on clean architecture, maintainable code, and practical system scalability — not just feature delivery. Deliverables: • Backend persistence & API stabilization • Live trading workflow integration • Authentication & role management • Dashboard analytics & responsive UI improvements • Docker/deployment readiness • Documentation & testing support Let’s discuss the current repo structure, priorities, and rollout roadmap.

@prashanpatel557

Hello, I can help complete and productionize your Python-based algo trading platform by stabilising the backend, implementing live Dhan order execution, adding database persistence, and polishing the dashboard. I have extensive experience building trading systems with Python, broker APIs (Dhan, Zerodha, Upstox), backtesting engines, risk managers, and web dashboards. Key areas I can deliver: • SQLite/PostgreSQL persistence for trades, positions, configs, and user settings • Secure authentication and role-based access • Complete paper/live trading workflow with Dhan API integration • Trade history, P&L analytics, and risk dashboards • Alerts via Telegram/email/SMS • Responsive UI improvements and theme support • Unit tests, Docker packaging, and deployment documentation Suggested Roadmap: 1. Backend stabilisation and persistence 2. Authentication and security 3. Live order execution and position updates 4. UI/UX refinement 5. Analytics and reporting 6. Testing and deployment Timeline: 3–4 weeks depending on priority scope Budget: ₹50,000 – ₹90,000 Please share the GitHub repository or ZIP archive and indicate which roadmap items should be prioritised for Phase 1.

@Shrutibimpl

Hello There, As per my understanding you want to transform your modular Python prototype into a professional trading platform with live Dhan API execution, persistent data storage, and secure user access. 1) Do you prefer PostgreSQL or a local SQLite database for managing your trade history and strategy settings? 2) Should we implement JWT based authentication to secure your API endpoints and dashboard access? 3) Will you need a pre trade risk module to validate order sizes against your live margin before execution? I will turn your existing tools into a reliable business system that handles your trades with total precision. You will get a secure environment where your history and credentials are protected, giving you the confidence to run your strategies around the clock without manual monitoring. This upgrade ensures you have the visual analytics and risk controls needed to grow your portfolio while maintaining complete oversight of your market exposure and strategy performance. Best regards, Bharat Joshi

@fullstack0407

I have read your project description and I am interested in helping you complete and stabilize your algo trading platform. I am a Python developer with experience in trading systems, backend architecture, Flask/FastAPI dashboards, and integrating broker APIs like Dhan along with data pipelines for strategy execution and backtesting. From your current setup, the core architecture is already well structured with modular strategy design, backtesting, and a functional dashboard. My focus would be on closing the gaps that are critical for production readiness. This includes implementing persistent storage for trades and configurations (using SQLite or PostgreSQL), strengthening API error handling, and completing the live trading execution flow with proper state tracking and paper/live mode safety. I would also prioritize adding authentication and role-based access control to secure the dashboard, improving strategy persistence across sessions, and ensuring reliable order execution with proper logging and failure recovery. Once the backend is stabilized, I would move to UI refinement, responsive improvements, and analytics like P&L charts and risk metrics. Finally, I would structure the system for deployment by adding Docker support, clean environment configs, and full documentation so it can be safely run in production. My approach is to first make the system stable and secure, then extend functionality, and finally polish UX and deployment readiness.

@sdqtrades

Hello! My name is Eni, and I'm an expert Python developer with substantial experience in building trading systems and platforms. Your algo trading project aligns perfectly with my skillset and passion for creating optimized, efficient, and user-friendly trading solutions. I have spent the last few years honing my skills in algorithmic trading and have worked extensively on various trading platforms, including Dhan, Binance, Bybit, Coinbase bot, as well as developing Python Trading Algos. What sets me apart from others is not only my proficiency in core Python but also in other crucial areas such as smart contract and cryptocurrency. This vital knowledge allows me to make informed decisions about strategies, storage backups (NDA), user authentication and authorisation of Trades. I've also noticed that there are multiple unfinished features including smart data extraction, persistent history backend storage &trade history features which require a clean optimized approach. Thank you in advance for considering my proposal. I assure you full ownership of project IP, & working closely and efficiently to deliver the best results with excellent communication skills across multiple languages. Looking forward to discussing this project further with you. Best regards, Eni O

@nexvative

Hello, Your trading platform already has a strong foundation, and I can help take it from a functional prototype to a stable, production-ready algo trading system. I have experience with: • Python-based trading architectures • Broker/API integrations and live order execution • Backtesting and portfolio/risk systems • FastAPI/Flask dashboards and analytics • PostgreSQL/SQLite persistence layers • Dockerized deployment and cloud hosting Based on your roadmap, I can help with: Completing live Dhan order execution workflows Adding persistent database storage for trades/configs Authentication and role-based access control API stabilization and error handling improvements Trade analytics, P&L dashboards, and risk metrics Responsive UI/UX improvements Strategy persistence and preset management Docker deployment and production documentation Unit/integration testing for trading logic and APIs Your modular structure is already well organized, which makes iterative enhancement straightforward without major rewrites. Suggested next sprint: Backend persistence + API cleanup Secure auth and credential handling Live execution and order-state synchronization Analytics and reporting enhancements Deployment hardening and monitoring I can work directly within your existing repository structure and maintain clean, documented, production-grade code throughout development.

@vasylklymiu

Hey there I can help and we can get started right away. I have skills in Python FastAPI and Docker and I have 6 years experience building trading systems with modular architectures realtime dashboards backtesting engines and broker API integrations. Your platform already has a surprisingly solid foundation and honestly the roadmap is very well thought out because the missing pieces are mostly around persistence live execution security and production hardening rather than rebuilding core logic. I will start by stabilizing the backend with database persistence API cleanup and stronger error handling then complete the live trading workflow and finally improve the dashboard responsiveness analytics and deployment readiness with Docker and structured documentation. I will use FastAPI PostgreSQL Docker containerization realtime trade state management and scalable modular architecture to make the platform production ready maintainable and easier to extend in future trading sprints and I am looking forward to working with you.

@Sahyadri96

Readymade Dhan Setups 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 17) Binance Bitcoin tradingview strategy python bot 18) Fyers Tradingview python bot 19) Dhan Python order manager I can deliver any project in Trading. Readymade setups for Python available

@techmadigital

Hi, I already have experience building algo trading platforms and broker integrations including Fyers, Dhan, Zerodha, backtesting engines, portfolio/risk management systems, and trading dashboards. I can help you complete and productionize this platform properly by: • Stabilizing backend architecture and persistence • Completing live order execution workflow with Dhan • Adding PostgreSQL/SQLite trade storage and analytics • Improving authentication, role management, and security • Enhancing dashboard UI/UX and mobile responsiveness • Adding alerts, P&L analytics, and risk dashboards • Preparing deployment setup with Docker and production docs Your current architecture is already structured well, so the focus now should be on stability, scalability, and production readiness. Let’s connect and discuss the next sprint priorities.

@rawheyx

You’ve already built a solid foundation it feels like the project is now at the stage where it needs to become production-ready, not just functional. From your document, the main gap is tying everything together: persistence, live trading flow, and a stable backend with proper APIs. I’ve worked on similar Python-based systems where I handled backend architecture, data storage, and API layers for real-time workflows. I’d focus first on adding a clean API layer + database (trades, configs), then wiring live order execution and improving reliability. Do you plan to keep Flask or move fully to FastAPI? Happy to help refine this into a complete platform.

@ITLei

Hi, I have experience building trading platforms with Python, FastAPI, and Docker. From your project document, I can handle the missing capabilities and enhancements. My approach: 1) Review your existing Flask/FastAPI codebase to understand current architecture, 2) Implement missing features - backtesting engine improvements, strategy optimization, risk management module, 3) Enhance the FastAPI backend with proper async endpoints for market data feeds and trade execution, 4) Dockerize everything with docker-compose (API service, database, scheduler worker), 5) Add proper logging, error handling, and configuration management via environment variables. I work in an incremental manner so you can review each milestone. I'm ready to start

@Ankurhardia34

Hello, I’m Ankur, a freelance developer with a dedicated team of professionals. I read all your requirements for algo trading, platfrom and I assure you that I will provide high-quality work at the proper time. Additionally, we also provide you 3 months of support from our side. As a Full Stack Developer, I specialize in Web and App Development, boasting a portfolio of stunning projects with top-notch UI/UX design. My expertise spans Flutter (for both Android and iOS), PHP, and WordPress, and I bring over 7 years of experience to the table. Whether it’s websites, applications, or e-commerce platforms, I’ve got you covered. But I’m not limited to just coding. My skill set extends to graphic design and logo creation, offering you a one-stop solution for all your project needs. With a track record of over 500 completed projects, I am committed to delivering nothing short of excellence. My ultimate goal is your complete satisfaction. Thank you for considering me for your project. I’m ready to transform your vision into a reality that stands out in today’s competitive landscape. Best Regards, Ankur Hardiya

@enricos0

Hi there, I’ve worked on Python trading platforms with modular broker integration and strategy execution before, so I’m confident I can help polish your algo trading platform to be clean, professional, and user-friendly. Your detailed notes around missing capabilities like persistent trade history, user authentication, and packaging highlight areas I’ve tackled previously, which means I fully understand the seamless, integrated, and automated experience you’re aiming for. I see you want to stabilize backend persistence, complete live order execution, and enhance the UI for responsiveness and ease of use. Those align perfectly with my skills in Python development, API design, and dashboard UI/UX improvements. I’m comfortable building secure authentication flows and streamlining user roles too. I’m the right person because I combine technical expertise with speedy communication, a fast turnaround, and a commitment to making sure you’re satisfied enough to come back for future enhancements. I am available for a quick chat! Regards, Adam Faustino

@techotd

Hello, Your algo trading platform already has a strong modular foundation. I can help complete and productionize it by implementing persistent database storage (SQLite/PostgreSQL), secure authentication, live Dhan order execution flow, API stabilization, Docker deployment, responsive dashboard improvements, analytics/P&L reporting, and testing coverage. My approach: • FastAPI/Flask backend hardening • Trade/order persistence + caching • Live/paper trading workflow • Role-based access & credential security • Dockerized deployment + CI-ready structure • Dashboard analytics & responsive UI polish • Unit/integration testing for strategies and APIs Experienced with Python trading systems, broker APIs, backtesting engines, FastAPI, Docker, and scalable dashboard architectures. Ready to start with a structured sprint roadmap and milestone-based delivery. Best regards, Arun