Automated PCR-Based Nifty Trading Strategy Development (v Apr'26)

@rohitpatidar001

With over a decade of experience in Java and J2EE technologies, I bring a sound understanding of backend architecture and API integrations to the table. When it comes to designing intelligent strategical systems for trading like yours, I've managed to create robust solutions that deliver consistent results. I understand the significance of seamless data integration and the importance of stability, making sure your API integration for data capture is smooth and failure-proof. From scraping data to maintaining tables on Nifty spot and open interest values, computing PCR values, and generating buy/sell signals - I have all the required skills at my disposal. My experience with Spring Boot microservices and RESTful APIs will be instrumental in ensuring that your Nifty trading strategy gets firmly integrated into your tradetron account. I'm fully adept at identifying strike prices based on delta, sending buy/sell signals along with lot sizes, and tracking PCR changes to initiate position exits. As you already have accounts with several brokerage firms, I can seamlessly integrate my strategies with your existing systems without any hiccups. Moreover, being API-driven systems', the edge lies in the accuracy of data capturing & processing.

@tinuvj

Hi, I have 15+ years of experience in the software development. You can see my recent ALGO projects, reviews & demos here: ► https://www.freelancer.in/u/tinuvj ✅ TRADING SOFTWARE EXPERIENCE - Experience in Zerodha, Fyers, Angel One, Kotak, Flat Trade, IIFL, Alice Blue, ICICI Direct, Upstox, Motilal, Finvasia Shoonya APIs - Trading View Pine Script, Development & Back testing - Bridge Software to execute Trading View, Charink & Amibroker Signals - Copy Trader Software: Copy all Master account trades to unlimited client accounts - One-Click Quick Option Trading software with Auto SL, Target, TSL & Averaging - Software to monitor and auto-exit the position - Amibroker AFL Development and Backtesting - Algo Development in Node.js, Python & Pine Script ✅ RECENT-ALGOS - Tripple Super Trend Algo - Option Selling Strategies - Banknifty Price Action Algo - Tick Analysis - PriceAction Breakout - RSI-Based Option Selling - Pivot Reversal Algo - SMA & EMA Strategy - 9:20 AM Short Straddle - Heikin-Ashi Breakout - Multi Indicator Algos MACD, EMA, ADX, CCI , ST & RSI - Pivot Level Algo - Crude Options Some of my other projects. - Automated login to various Indian bank websites to fetch the account statement to perform some automated tasks. - Automated login and trade execution in various Indian stockbroker platforms - WhatsApp API & Chat Bot Using WhatsApp Web Automation Thanks & Regards Tinu Jose

@Shrutibimpl

You want automated PCR-based trading. I will build your Nifty strategy engine to calculate the Put-Call Ratio and trigger trades via Tradetron based on your delta-based strike selection. 1) Do you have a preferred data provider for real-time NSE Option Chain data, or should I integrate a specific provider like Dhan/Angel APIs? 2) What is the exact logic for your delta-based strike selection? 3) Are you comfortable with the system being hosted on a cloud instance like AWS or DigitalOcean for 24/7 reliability? We will build a fast, reliable system that watches the Nifty Open Interest and calculates the Put Call Ratio every minute. You will get a clear automated setup that does the math for you, decides which strike price to trade, and sends the signal straight to Tradetron so your orders are executed instantly. Everything is designed to be stable, meaning it will track the market continuously and handle your entry and exit rules without you needing to monitor the charts manually, giving you a disciplined way to trade based on market sentiment. I will develop the engine using Python, leveraging the pandas and numpy libraries for efficient PCR calculation and historical logging in a local SQLite or PostgreSQL database. The system will use an asynchronous task scheduler to fetch option chain data via API every 60 seconds, calculating the delta-based strike price and applying your custom logic to trigger signals. Thanks, Bharat

@prashanpatel557

Hello, I can build your PCR-based Nifty strategy system with stable data capture, signal generation, and Broker integration. Approach: • Data Layer: Fetch OI (CE/PE) + Nifty spot via broker/market APIs every 30–60 sec • Store in structured DB (SQLite/Postgres) • Compute PCR in real-time Strategy Engine: • Rule-based PCR logic (your conditions) • Generate Buy/Sell/Exit signals • Strike selection using delta-based logic Execution Flow: PCR → Signal → Broker execution (compatible with Upstox / Angel / Dhan / Alice Blue) Core Features: • Stable data fetch + retry handling • Time-series storage (OI + PCR tracking) • Configurable parameters (interval, thresholds) • Logging (signals, errors, trades) Reliability: • API fallback handling • Clean modular design (data + strategy + execution separated) Deliverables: • Python system (data + strategy engine) • DB + PCR calculation module • Setup guide + documentation Timeline: 12–18 days Budget: ₹28,000 – ₹45,000 I have experience with options data, trading APIs, and automation systems, ensuring stable execution. Question: Which data source do you prefer for OI/Delta (broker API, NSE direct, or third-party like TrueData)?

@abdf2010

Hey, I liked your project, Automated PCR-Based Nifty Trading Strategy Development project and believe I can help you with the project. With my background in C Programming, Java, Python, I'm confident I can meet your requirements. Would be glad to go over specifics if you're interested.

@aidigitalhub

With vast expertise in C Programming, Python and automated trading systems, I believe I'm the ideal choice for your project. I have extensive experience in fetching real time stock data using APIs, akin to what you require for this project. On top of that, my knowledge in utilizing data and extracting meaningful information such as Put Call Ratio (PCR) from it aligns well with the core requirements needed for this task. Moreover, I'm no stranger to coding buy and sell signals according to specific strategies, which is the final output you're looking for. My familiarity with Python and other languages further strengthens my bid as a developer for your needs. Being able to adapt to different programming languages to suit the best interest of your organization is a skill that I bring to the table. Finally, I've also worked on integrating trading systems with multiple brokers previously. I can ensure a smooth and successful mapping of your strategist with your Tradetron account or any other platform you might decide on - be it Angel, Alice Bule, Dhan or any other brokerage firm that meets your requirements. Thank you for considering my bid.

@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.

@Algokage

Hello, I can efficiently develop an automated PCR-based Nifty trading strategy as per your requirements. My approach involves fetching Put and Call open interest data within 30-60 seconds, storing it with Nifty spot values, and calculating PCR to generate buy/sell signals using Python. I’ll integrate the strategy with your Tradetron account for seamless execution, ensuring stable API integration for data capture. With 5+ years of experience, I’ll deliver a robust solution tailored to your logic. Message me for samples or to discuss further details. Thanks, Adegoke. M

@Madnikpvtltd

Hello, I understand you need a stable, end-to-end PCR-based trading system where data capture, signal logic, and execution must work reliably in real time, and my approach would be: API integration (Angel/Dhan or NSE data source) → fetch OI for CE/PE at 30–60 sec intervals → store in structured DB (Postgres/SQLite) with spot price → compute PCR + derived signals → strategy engine (rule-based + optional filters like trend/volatility) → strike selection using delta logic → signal generation → Tradetron webhook/API integration for execution → exit logic based on PCR shifts → logging + fail-safe handling (retries, latency checks); I’ll focus on a robust, low-latency pipeline with clean modular code so it’s easy to tweak strategy later, and I’ve worked on similar ML/trading/data pipelines, so I can deliver a stable system within timeline—let’s connect to finalize APIs and milestones.

@Visharaa2024

As an accomplished software developer with over 8 years of experience, specializing in Python and Java, I'd like to offer my services for your Nifty trading strategy project. My expertise encompasses API integration which is vital for capturing the required data in your project. With a solid background in building complex codes and platforms, I'm confident in my ability to automate the fetching of Put and Call open interest for Nifty within your preferred time frame. Additionally, I possess extensive knowledge of PCR calculations using open interest values (Nifty spot), making me well-suited to design and implement your PCR-based trading strategy in any coding language you prefer. My proficiency extends to working with Tradetron as well, allowing seamless mapping of the generated signals to your broker account.

@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

@ModernTechno442

Hello Greetings Of The Day We are Great fit because we are working in IT industry since 8 Years we have Experienced and quality developers in our Team and We are serving and making our clients happy and satisfied since last 8+ years with our outstanding performance in the fields of Website Development, Mobile App Development (Android, iOS, Desktop), CRM/ERP Development, AI ML, UX/UI Design, Games, Digital Marketing and Blockchain. Working Tech is PHP, Node, JS , Flutter , HTML, React, python, Unity and Many more. We also work over the similar projects posted by you so please open the communication by responding, so that we can provide you all demo details. I hope we get a positive reply from your side and we are eagerly waiting to work with you.

@ixorawebmob

Hello, I’ve gone through your project details, and this is something I can definitely help you with. With over 10 years of experience in software development and a strong focus on financial applications, I can assist in creating an automated PCR-based trading strategy for Nifty. My expertise in Python and API integrations will enable me to fetch Put and Call open interest data at the required frequency and develop a robust strategy to generate buy and sell signals according to your logic. I will ensure that the data is stored efficiently and that the strategy is integrated with your Tradetron account for seamless execution. I prioritize clean architecture and stable implementations, critical for trading systems. Here is my portfolio: https://www.freelancer.in/u/ixorawebmob I’m interested in your project and would love to clarify a few details to ensure the best approach: Could you clarify your preferred programming language for the coding strategy? Let’s discuss over chat! Regards, Arpit Jaiswal

@rahulb617

hi, i have made bots in fyers,shoonya,binance,dhan and zerodha for clients in dhan i have made for nifty(future/options) i have seen your requirements i can help u with all your requirements lets get in touch

@jagratip3

Dear Hiring Manager, I have 8+ years of experience building trading systems with strong expertise in Python, API integrations, and real-time data processing. I’ve worked on automated strategies involving market data ingestion, signal generation, and broker execution with a focus on stability and low latency. Proposed approach: • Data Source: NSE/Broker API for live OI + spot (30–60 sec interval) • Backend: Python (FastAPI/Flask) with scheduler (Celery/CRON) • Storage: PostgreSQL / lightweight DB for time-series tracking • Logic Engine: Custom PCR strategy + rule-based triggers • Execution: Tradetron webhook or direct broker API integration Clarification points: • Preferred data source (NSE scraping vs broker API) • Exact PCR logic / thresholds for entry-exit • Delta calculation method for strike selection • Tradetron integration preference (signals vs full execution) • Hosting preference (local VPS / cloud) Estimated timeline: 7–10 days Estimated cost: ₹35,000 – ₹60,000 (depending on API + execution complexity) I can deliver a stable, production-ready solution with proper error handling and scalability. Best Regards, JP

@snath88

Hi, Drop me a message — I'll share a quick prototype based on what I understood. If it matches your expectations, we can move forward. Thanks!

@Royalitservices

Hi there, You’re absolutely in the RIGHT PLACE. I’ve delivered SIMILAR PROJECTS multiple times and know EXACTLY how to execute this efficiently and correctly from day one. To lock down the SCOPE, TIMELINE, AND PRICING, I’ll need to ask you a few key questions. Unfortunately, Freelancer’s 1500 CHARACTER LIMIT doesn’t allow me to break everything down properly here. Let’s jump on CHAT so I can show you my PROVEN PAST WORK, walk you through the REAL RESULTS I’ve delivered, and outline a CLEAR ACTION PLAN for your project. You’ll immediately see why my approach is DIFFERENT and EFFECTIVE. If you’re serious about getting this done RIGHT, I’m ready to move forward. Looking forward to CONNECTING and WINNING TOGETHER. Cheers, Mayank Sahu

@arshkumar213

I will build an automated PCR-based trading system that fetches live OI data, calculates PCR, generates buy/sell signals, and integrates with Tradetron & broker APIs for execution. Includes stable data pipeline, strategy logic, and exit automation. Result: real-time decision-making, faster trade execution, and consistent, data-driven trading performance.

@Sadiyasyeda24

Hello, I understand the task and will ensure your expectations are me. I am an expert with 4 years of experience in Java, Python, Software Architecture. Visit my profile to view latest projects. Looking forward to your reply. Thanks, Syeda Tahreem