Volatility Day-Trading Options Algorithm

@NEHABHAT92

Having worked in the industry for 9+ years, I have amassed the skills and experience necessary to build the automated options trading system you're seeking. Although my primary domain lies in web and mobile development, my knowledge of PHP will prove incredibly valuable when integrating your system with the Fyers platform. Furthermore, I have ample experience in developing financial applications and can confidently navigate complex algorithms. I understand the comprehensive nature of your project requirements; clean code, readable logic, strong exception handling, parameter-driven functionality – I’ll meet these demands with ease. If unfamiliar with their platform specifically, I'm no stranger to adapting to new environments quickly and efficiently. Additionally, given the critical nature of your business operations, I'll ensure the system is robust, performing optimally on Windows 10, even during periods of high market volatility. To put your mind at ease about performance and stability - while my strengths mainly lie in Python - but able to adapt myself or team to suit your project's needs. Trust that the completed project will come with clear documentation outlining how to set it up on Fyers. The delivery package will also include a back-test report spanning three recent months for you to analyze its proficiency firsthand. With me on board, you can expect not only technical competence but also a reliable

@prashanpatel557

Hello, I can build a fully automated intraday options trading system on Fyers that trades CALLs and PUTs purely based on volatility thresholds, with strict same-day square-off and robust risk controls. How I’ll approach this • Python-based architecture (Windows 10 friendly) • Fyers REST + WebSocket: • WebSocket for live option-chain & volatility data • REST for fast, reliable order execution and management • Parameter-driven strategy: • Volatility bands (IV / price-based, as finalized) • Position size, SL, target • Entry/exit logic • Forced square-off time • All configurable via YAML/JSON config (no hard-coding) Core features • Automated BUY/SELL of CE & PE intraday • One-click switch between paper trading & live • Auto square-off before market close • Robust error handling: • API disconnects • Order rejections • Rate limits • Auto-reconnect & state recovery • Detailed logging: • Orders, latency, slippage, errors Deliverables • Clean, well-commented Python source code • Setup guide (Fyers keys, config, launch steps) • Editable config file for all strategy parameters • 3+ months backtest / paper-trade report (PnL, drawdown, volatility stats) Experience I’ve built multiple Indian options algos (intraday & volatility-based) using Fyers/Angel/Upstox-style APIs, with live WebSocket handling and production-grade stability. If you’d like, I can first demo a volatility trigger + paper trade flow before full deployment.

@deepak7737

Hey I can develop you trading bot in python I have great understanding of options as I am trading from last 11 years Let me know when we can speak

@dushyant317

Hello, I’ve carefully reviewed your project requirements and clearly understand the tasks involved. I have 13 years of experience and strong expertise in the exact skills this project requires. I have successfully delivered similar projects before and can share relevant samples if needed. I will complete this within your expected timeline while maintaining quality and clear communication. I look forward to working with you and contributing sincerely to your project’s success.

@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

@bagdenavdeep

Hello, I have a production-ready FYERS options trading bot already running in live markets and solid hands-on experience with FYERS REST and WebSocket APIs. I can extend this bot or build a custom, fully automated intraday volatility-based options system with config-driven parameters, automatic square-off before market close, and strong exception handling. With 9+ years of software development experience and deep exposure to Indian options and algo trading, I deliver clean, reliable Python code, detailed logs, and stable execution on Windows without manual intervention. Thanks Navdeep

@mrkk4ever

Dear Client I saw your requirements regarding to develop a auto trading bot for opinions trading with volatility threshold basis using fyers api in python. I can develop this application ASAP based your requirements. I developed many applications is similar to your requirements. Such as indicators, analysis applications, auto trading bot for various exchanges. Let share further details. Thanks and Regards Kannadasan K

@Vermapratham1234

With my extensive experience in digital marketing and automation, I have the skills to meet your needs for a fully automated, parameter-driven system for day-trading options. My knowledge of Python is an asset since it fits well with your existing stack and my proficiency in software architecture ensures clean, readable code that's easily configurable - critical when trading algorithmically. In addition, I've successfully built a variety of automated systems relying on API connections like the one you require with Fyers. This includes ensuring solid exception handling which is crucial for maintaining smooth operations even when dealing with disconnections or rate limits. Furthermore, you can count on me to implement robust logging that tracks relevant parameters such as latency and slippage, providing valuable insights for future optimization. Lastly, while I may not have specifically worked on similar option-volatility models before, my track record of scaling ad accounts to $2M+ total ad spend while maintaining consistent profitability demonstrates an understanding of complex financial systems. Combined with my proven ability to deliver measurable results in high-stakes contexts, I am positioned to build a top-notch algo-trading platform that will give you a definitive edge in the market. Let's transform your trading strategy into a high-performing digital brand together!

@bilal0356

Hi, We went through your project description and it seems like our team is a great fit for this job. We are an expert team which have many years of experience on PHP, Python, Algorithm, Software Architecture, C++ Programming, Financial Analysis, API Development, REST API Lets connect in chat so that We discuss further. Thank You

@manmeetgill13

Hello, I have carefully reviewed your requirement for a fully automated intraday options trading system integrated with the Fyers platform, and I can confidently deliver a stable, configurable, and production-ready solution. ? Scope of Work I will develop a Python-based automated trading system that: ✔ Connects directly to Fyers REST & WebSocket APIs ✔ Streams live option chain and volatility data ✔ Automatically places, modifies, and exits CALL & PUT ? Strategy & Configuration • Fully parameter-driven strategy • Entry & exit rules • All parameters will be editable via a simple config file (JSON/YAML) • No hard-coded values ? Reliability & Safety • Robust exception handling • API disconnections • Order rejections • Rate-limit handling • Automatic reconnection logic • Detailed logging system • Orders, slippage, latency ✔ Step-by-step setup & deployment guide (Windows 10) ✔ Easy-to-edit configuration interface ✔ Back-test / paper-trading report (last 3 months) • P&L • Drawdown • Volatility metrics ? Experience I have prior experience developing broker API–based trading bots and volatility-driven intraday strategies, with strong focus on risk management and execution stability. I’m happy to share a sample WebSocket/order-handling module or discuss the architecture before starting. Looking forward to working with you. Best regards, [manmeet] Python Algo Trading Developer

@ihaagrawal2004

Hi Pratham, I can deliver a fully automated, volatility-based intraday options trading system integrated directly with Fyers REST & WebSocket APIs, with zero manual intervention and mandatory same-day square-off. What you’ll get - Python-based, production-ready bot (Windows 10 compatible) - Live option chain + LTP streaming via WebSocket - Automatic CE & PE trades triggered by user-defined volatility thresholds - Config-driven strategy (volatility bands, lot size, SL/target, max trades, cut-off time — no hardcoding) - Guaranteed force square-off before market close (fail-safe) - Robust error handling for API drops, order rejections & rate limits - Detailed logs tracking latency, slippage, P&L, and errors Deliverables - Clean, well-commented source code - Step-by-step Fyers setup & launch guide - Editable config file (YAML/JSON) - 3+ months back-test / paper-trade report with P&L, drawdown & volatility metrics Why me - Hands-on experience with Fyers & Indian options automation - Built intraday volatility strategies (ATM CE/PE, breakout & IV expansion) - Focus on stability, risk controls, and auditability—not fragile scripts I can share a sample volatility strategy module or execution logic if needed. Best regards, Iha

@himanshu152002

Hello, I can build a fully automated intraday options trading system integrated directly with Fyers REST & WebSocket APIs, designed for volatility-based CALL & PUT strategies with strict same-day square-off and robust fault handling. I have hands-on experience in Python automation, API-driven trading systems, WebSocket streaming, and risk-controlled execution engines, and I focus heavily on stability, configurability, and clean architecture—critical for live trading environments. Regards, Himanshu Kharkar

@AyushMishra0509

Hi! I’ve built production-grade trading systems, including Synq Flow which handles 10,000+ actions/hour. I can build your Fyers-integrated intraday options bot using Python, ensuring ultra-low latency and absolute reliability for volatility-based entries. Why I’m the right fit: Fyers API Expert: I’ll use Fyers’ WebSocket for real-time data and REST for robust order execution. Safety First: I’ll implement the Transactional Outbox pattern and idempotent workers to ensure orders are never missed or duplicated, even during API drops. Config-Driven Logic: Parameters like volatility bands, SL/TP, and the hard square-off time will be easily manageable in a clean JSON/YAML config. Production Readiness: You’ll get detailed logging for slippage/latency and auto-reconnection logic. I’ll deliver the bot with a 3-month backtest report and a full setup guide. Ready to pass your paper-trade test immediately! Best, Ayush Mishra