Enhance Python NIFTY Trading Automation System

@bindmission

Hello, I have 10 years of experience in enhancing and stabilizing trading automation systems. I propose to audit your existing Python-based NIFTY system on AWS EC2. My focus will be on reducing exit execution latency and fixing broker reconciliation issues. I will ensure backend and app status consistency and document all pathways and logs. My goal is to achieve safe, reliable daily live trading execution for your system. Regards, VishnuLal NB.

@KarthikTechCon

Hello, I'm Karthik, a Python Developer and Solution Architect with 15+ years of experience in trading systems, algorithmic execution, AWS deployments, FastAPI, and broker API integrations. I understand that your strategy is already built and validated. The priority here is production stability, execution reliability, and broker-state consistency—not strategy redevelopment. I can perform a detailed audit of the existing architecture, identify the root causes behind Dhan reconciliation failures, stale position states, exit latency, backend/app mismatches, and control-source inconsistencies. My focus will be on creating a robust execution flow with proper state management, broker reconciliation checks, fail-safe exits, centralized configuration control, structured logging, and live-readiness validation. My experience includes Python-based trading platforms, real-time event processing, AWS EC2 deployments, REST/WebSocket integrations, FastAPI services, and production monitoring. I can also help establish a clear audit trail, recovery mechanisms, and operational documentation to support safe daily live trading. I would be glad to review the existing codebase and propose a stabilization plan before implementation. Regards, Karthik

@Hrolgar

Idempotent order submission is the piece most Python trading systems skip, and on EC2 you have the added wrinkle of instance interruptions mid-order. If your current code does not write order intent to a durable store before hitting the broker API, a reboot or network timeout leaves you without reliable position state. For this enhancement pass, I would add a lightweight order ledger (DynamoDB or Postgres, depending on what you already run), wire in retry logic with circuit-breaker semantics on the broker API client, and set up CloudWatch custom metrics so you get an alert within 60 seconds if any component stops responding during market hours. FastAPI middleware handles the instrumentation without touching your core strategy logic. Three days, 63,750 INR, single deliverable: idempotent order layer, resilient API client, and live monitoring integrated into your existing setup without a rewrite. What broker API are you calling directly: Zerodha, Upstox, or something else? That determines how I structure the retry wrapper.

@mahads31

With over a decade of experience across diverse industries and a special fondness for enhancing existing systems, I am perfectly positioned to optimize your Python NIFTY trading automation system. My expertise lies in creating smart, scalable, and high-impact digital solutions. From the project description, it is clear that your main requirement is not creating a new strategy, but rather stabilizing the production execution architecture - an area where I thrive. One of my core strengths lies with backend development and API management - skills I will skillfully apply to solve the challenges bedeviling your current system. Be it fixing broker reconciliation, reducing exit latency, or stabilizing backend/app status, my knowledge in Python and familiarity with AWS coupled with my passion for delivering quality digital products makes me the ideal candidate for this project. By working with me, you're not just hiring a freelancer; you're bringing on board a long-term partner dedicated to turning your ideas into practical digital solutions built to grow with your business. Let's snowball your current success by optimizing your trading system in a manner that's reliable, efficient, and ready for daily live trading. Chat with me today so that we can get started!

@smtsbiz

Hi, Your project matches my background very well. I have been an active trader since 2007 with extensive experience in equities, futures, and options trading. I am also an engineer by qualification and profession, with significant experience developing automated trading systems using Python. I have worked extensively with TradingView-based strategies, webhook integrations, broker APIs, live execution engines, risk management modules, and production trading bots. I understand that your requirement is not strategy development but improving execution reliability and operational stability. Based on your description, I can help investigate and resolve: • Broker reconciliation and position state mismatches • Slow SL/TP/TSL exit execution • Stale open position and pending-exit states • Backend/control-center synchronization issues • Configuration management and single source of truth • Logging, monitoring, and live-readiness checks • Clear separation of paper and live trading environments My approach would be to first audit the existing codebase and deployment on AWS, identify root causes, and implement targeted fixes without unnecessarily rewriting the strategy. I am comfortable with Python, FastAPI, AWS EC2, REST/WebSocket broker APIs, background services, and production deployment environments. Anything technically feasible within the existing architecture and codebase can be addressed after review. Regards, Syam

@mzdesmag

Hello sir, Did go through your job description and glad to share that I have enormous experience in working with Enhance Python NIFTY Trading Automation System I'm a seasoned programmer and Engineer with quality experience in Flutter, React, Node.JS, SpringBoot, Frontend and Backend Development, Python, Matlab, R studio, C, C++, C#, OpenCV, OpenGL, Tesseract OCR, google vision, Statisticaal programming/R progamming data analysis Computing for Data Analysis Time Series & Econometric, Machine learning, AI, Deep learning, Matlab and Mathematica, 3D modeling, CAD/CAM,AutoCAD, 2D, Architectural Engineering, SolidWorks, Unity 3D, PCB, Electronics, Arduino, Automation, Embedded and Firmware , IOT, Electrical/Mechanical Engineering I am a TOP Rated Freelancer, and you can check my reviews here as well: https://www.freelancer.com/u/mzdesmag. Looking forward to potentially working together on this project. Thanks and Best regards, Adekunle.

@Mayurisalgat13

Hello, Your requirement is clear: this is not a strategy-development task. The priority is production execution reliability—fast exits, broker reconciliation, clean runtime state, accurate backend/app status, and safe live-readiness. I can help audit and stabilize your existing Python-based NIFTY options automation system without rewriting the strategy logic first. For trading automation, I strongly believe broker position should be treated as the final source of truth, and local runtime state should reconcile against it regularly to prevent dangerous mismatches. I’m comfortable working on AWS EC2, FastAPI, Python services, broker APIs, systemd logs, and production trading workflows. Best regards, Mayuri Python Trading Automation Engineer | FastAPI | AWS EC2 | Broker API Integration

@kingxanda

Hey, Thanks for your post. I'v read your description carefully. I have relevant experience I can help. some of my skills are: JavaScript, Python, Nodejs, EAs, trading etc Hope you're having a nice day my friend :)

@Jennycreation

Hello sir, i already work on Trading platform where i implement many Indian stock broker api like zerodha, upstox, aliceblue, angel ,dhan and other broker. our tool can do copy trading from master to slave accounts..multi account order placement from multiple broker. Let me know we can discuss more about your project. Thanks

@loxtic

Hi, how are you doing? I’ve worked on stabilizing production automation for trade execution, including reconciliation checks, latency improvements, and clear state handling in AWS-based setups. I can audit your NIFTY automation stack, fix broker reconciliation, reduce exit latency, and align backend/app status with the live front end, without rewriting the strategy. I’ll keep paper/live paths documented, add a live-readiness checklist, and strengthen logging for daily live trading. Let me know further if interested

@Algokage

Hello, I can efficiently stabilize your Python NIFTY trading automation system by addressing slow exit execution, broker reconciliation failures, stale position data, and backend/app status mismatches. I’ll audit the system, optimize exit latency, ensure clean paper/live separation, and implement robust logging with a live-readiness checklist. With 5+ years of experience in trading systems and AWS, I’ll focus on execution reliability without altering the strategy. Message me to discuss further or see samples of similar projects. Thanks, Adegoke. M

@rakhshanz3

As a seasoned AI and Machine Learning expert, I've spent a considerable portion of my career focusing on optimizing and stabilizing complex software systems, making me well-equipped to address the multiple code-based challenges you're experiencing in your Python-based NIFTY options automation system. Having worked as Chief Technology Officer of an AI startup, I'm accustomed to working under high-pressure situations and delivering reliable and efficient technologies tailored to specific needs. And this aligns perfectly with your project requirements. I deeply understand the critical need for an error-free trading automation system, with accurate execution, robust logs and fortified backend/app status. Although my skills primarily lie in developing AI-driven solutions, my expertise extends to API Development, Backend FastAPI, PHP, Python which incidentally intersects with the core of your project challenges. If chosen for this opportunity, I will conduct a detailed audit of your entire system and fix all the issues regarding slow exit execution, broker reconciliation failures, and stale CSV files. Ensuring stable daily live-trading possibilities is something I prioritize as it aligns with best practices in trading automation. I can guarantee you a revamped architecture that boosts execution reliability while maintaining the integrity of your current unique strategy.

@shibbuquadir

As a developer at Paper Perfect, I bring to the table extensive experience in Python and Software Architecture, which aligns perfectly with your project requirements. My focus has always been on ensuring the stability and reliability of systems, making me well-suited for your need to stabilize the execution architecture of your existing NIFTY trading automation system. I am adept at problem-solving and in my previous projects, I have faced and overcome issues similar to your current blockers. These include enhancing execution speed after SL/TP/TSL conditions and resolving broker reconciliation failures. Moreover, my experience extends to working with APIs and backend development; two crucial areas required for this job. Skills that I believe will greatly benefit you as they match key needs for your project. At Paper Perfect, we pride ourselves in being adaptable and flexible; missing out on no small yet critical details. I understand your primary focus is on the stability of execution rather than rewriting strategies. By prioritizing reliability, meticulous backend/app status checks, clean separation of paper/live report paths, detailed live-readiness checklist, and robust logs are some of the areas where I can make significant enhancements for a more stable architecture. Together, we can ensure that your system is ready for safe daily live trading on top of AWS EC2. Finding a skilled professional who values quality and timeliness within budge.

@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.

@bhavanim08

Hello, Your requirement is exactly the type of production stabilization work where execution reliability matters more than strategy development. I understand that the strategy engine, Dhan integration, FastAPI backend, and AWS deployment already exist. The priority is to audit the current architecture, identify execution bottlenecks, resolve broker reconciliation issues, and make the system reliable for daily live trading. I can assist with: ✔ Python Codebase Audit ✔ AWS EC2 Service Review ✔ Dhan API Reconciliation Fixes ✔ Exit Latency Analysis & Optimization ✔ Position State Synchronization ✔ Backend/App Status Consistency ✔ Logging & Error Tracking Improvements ✔ Paper vs Live Mode Separation ✔ Runtime Stability Enhancements ✔ Live Trading Readiness Checklist Relevant Experience: ✔ Python Development ✔ Trading System & Indicator Projects ✔ API Integrations ✔ Backend Development ✔ FastAPI-Based Applications ✔ AWS Deployment & Debugging My approach would be to first audit the execution flow, service interactions, and position lifecycle management before implementing targeted fixes to improve reliability and observability. Could you share whether the reconciliation issue is occurring during API polling, webhook updates, or local state persistence? Best Regards, Bhavani M

@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 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

@dushyant317

I can audit and stabilize your existing NIFTY options trading infrastructure on AWS, focusing on broker reconciliation, exit-execution latency, state synchronization, backend/app consistency, centralized configuration control, and production-grade monitoring without altering the core trading strategy.

@zeeshanmcp12

The client is seeking to enhance the stability and reliability of their existing Python-based NIFTY trading automation system on AWS EC2 by addressing issues related to slow exit execution, broker reconciliation failures, stale positions, and backend/app status discrepancies. Our approach involves conducting a thorough audit of the current system, focusing on fixing broker reconciliation, reducing exit latency, stabilizing backend/app status, and ensuring readiness for daily live trading while maintaining the existing strategy. With experience in optimizing trading automation systems for increased reliability and efficiency, we have successfully stabilized execution architectures for similar projects, resulting in improved system performance and reduced operational risks. Thank you.

@manoval09

Hi, I see you're looking to enhance your Python-based NIFTY options system on AWS EC2—the challenge is making incremental improvements without destabilizing live trading logic, especially with options volatility. I've worked directly with event-driven trading systems on AWS, and I approach enhancements using a circuit-breaker pattern (Python's `pybreaker` library) to isolate new features from your existing order flow. I'd run new logic in parallel on EC2, log all state changes to CloudWatch, and only flip the switch once I've proven zero interference with your current execution. For the database layer, I'd use SQLAlchemy with connection pooling to handle your polling frequency without resource leaks. My immediate first step: I need clarity on what "enhance" means specifically—are you looking at order optimization, better Greeks calculations, improved risk monitoring, or position management? Also, what's your current order throughput (trades/hour)? Once I confirm these details and see your existing architecture, I can give you a precise timeline and highlight any integration risks upfront. Best regards, Val