Stock Options Opening Range Breakout with sector index

@Milvetti

Hi, we can help you with your NSE F&O intraday options automation. We offer lifetime bug fix guarantee. As Milvetti, we help traders automate their strategies. Price is an estimate and may vary by scope.

@sdqtrades

With over a decade of experience in trading software development and a track record of turning ideas into profitable realities, I am confident that I can provide the exceptional and robust tool you need for your Stock Options Opening Range Breakout project. My skills encompass diverse trading platforms such as Tradingview in Pine script, Metatrader, Thinkorswim, Ninjatrader, cTrader among others. This means that I can develop the perfect solution tailored to your specific requirements. Further to my technical prowess, I boast exemplary problem-solving abilities and deep knowledge in financial analysis and the workings of the financial markets. This is crucial in ensuring that your trades not only comply with your pre-entry filtering and execution rules but also factor in essential exit and risk management conditions like profit trailing and stop loss. Choosing me for this project will grant you access to fast, high-quality delivery paired with an unwavering commitment to your satisfaction. Moreover, my skillsets include python algorithm development, which enhances my capacity to execute this job seamlessly. So let's breathe life to your visionary trading strategy together!

@Algokage

Hello, I can efficiently deliver the Stock Options Opening Range Breakout strategy with sector index integration as outlined. I’ll focus on NSE Equity Derivatives, implementing 1-minute execution and 5-minute range marking for intraday momentum trading using ATM/ITM options. My approach includes filtering stocks based on lot size, sector benchmarking, and pre-entry conditions like index and stock filters. Execution rules, exit strategies, and risk management will be precisely coded with WebSocket data feeds for real-time updates. I have 5+ years of experience in developing similar trading systems. Send a message to discuss further or see samples of my work. Thanks, Adegoke. M

@prashanpatel557

Hello, I can build your NSE F&O Opening Range Breakout system with sector confirmation and full API automation. Approach: 1. Data Layer WebSocket streaming for: • Sector indices • F&O stock spot prices • Option chain (ATM/ITM selection) Efficient in-memory filtering to scan universe within seconds at 9:21. 2. Pre-Entry Engine (9:15–9:20) Mark 5-min opening range for sector indices. Filter sectors ±1% move. Within selected sectors, filter stocks ±1–2% aligned with sector direction. Lot size filter <1000 applied. 3. Execution Module (9:21–9:25) Auto-select ATM/ITM contract. Market/limit based on liquidity. Immediate SL (10%) and target (15%) placement. 4. Trade Management 5 EMA trailing logic on 1-min chart. Hard exit at 9:35 AM. Duplicate prevention and position checks. 5. Risk & Logging Structured logs for signal, order, fill. Fail-safe exit if API disconnects. Deliverables: • Fully commented Python engine • Configurable parameters • Deployment guide • Live demo on paper mode Ready to discuss broker preference and timeline.

@shoaibkhan754400

Hello, I’ve developed many intraday momentum and sector-based option strategies like this for my clients, especially for Indian markets. Your logic of sector strength → stock alignment → ATM/ITM option execution within a tight time window is very practical and execution-sensitive, so proper API handling and fast scanning will be critical. Do you want this built for a specific NSE broker (like Zerodha, Alice Blue, Angel, etc.) using their exact API methods, or should I design it in a broker-agnostic structure that can be adapted to multiple NSE brokers? Also, should the system trade only one qualified stock per day, or allow multiple trades if several stocks meet the criteria at 9:21 AM? About me — I’m from India and specialize in algo trading strategy development. I have 5+ years of experience across MT4/MT5, TradingView, cTrader, NinjaTrader, ATAS, SierraChart, MultiCharts, Thinkorswim, Protrader, Quantower, and custom Python/Java automation for proprietary trading firms. I’ve successfully delivered 1000+ projects including EAs, bots, indicators, dashboards, and advanced trading systems. What sets me apart is long-term support. I don’t just deliver and disappear — if anything needs adjustment after deployment, I resolve it promptly. I focus on building strong professional relationships and ensuring full satisfaction, not temporary transactions. Let’s discuss your preferred broker and execution structure in detail.

@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

@shibbuquadir

With a project as intricate and time-sensitive as yours, my team at Paper Perfect is the perfect fit to develop and manage the entire process. Combining our skills in API development and data processing, we can construct a high-speed system that fetches essential data like NSE Sector Indices, Stock Spot prices, and Option premiums through WebSockets for analysis. This speed enhances your strategy's efficiency by ensuring that the "Sector Stock Option" filter is executed at precisely 9:21 AM to get you the most accurate trading opportunities within seconds. Moreover, our strong point is not only achieving functionality but also designing user-friendly software utilizing technologies like React, Angular, Node.js, Flutter, and React Native. This reflects on our ability to integrate automated stop loss/target placements which gate low slippage rates and professionalism allegiance to exiting all positions by 9:35 AM - minimizing risk exposure and optimizing gains. In conclusion, Paper Perfect commits entirely to delivering exceptional results on time and within budget while upholding quality in each sprint of development. This project juxtaposes perfectly with our expertise in API Development, Data Processing and Data Visualization where Mining critical market information quickly makes you thrive! Let us fetch you those profits.

@bilal0156

Hello, I can build this Stock Options ORB Bot with the exact 9:15–9:35 AM logic you need. What I will deliver: Fast Scanning: Automated filtering of F&O stocks (Lot < 1000) and Sector Indices. Precise Logic: 1% Sector/Stock move validation before 9:21 AM entry. Execution: Automated ATM/ITM Call/Put buying with 15% Target & 10% SL. Advanced Exit: 1-min 5 EMA trailing SL and mandatory 9:35 AM square-off. Tech: Python-based bot with WebSocket for zero-delay data. I have experience with Zerodha/Angel/Fyers APIs and can ensure the "Sector-Stock" filter runs in seconds. Ready to start immediately. Let's discuss the broker API!

@SajjadSeikh002

I am trading from last 2-3 years in Indian Stock Market. I basically trade into Index (Nifty50) Option. I have an Experience in Option Buying and Option Selling also. I totally understand your current requirement and I am very confident that I do this job very well. I am so excited about this type of work. I am very passionate about it. So please contact me as soon as possible. My wharts up no. is - 9907921062. Thank You

@BrainstackTech

Hello there, 8 years in Python trading automation, real-time pipelines, and financial API integration. Your ORB strategy's 9:20–9:21 scan window demands sub-second filtering across the full Sector → Stock → Option chain. Architecture: WebSocket feeds via Zerodha Kite or Shoonya ingest 1-min candles for all F&O stocks and sector indices into Redis — not a DB, because disk I/O kills you at this latency. At 9:20 the engine snapshots OR highs/lows, applies your 1% threshold, cascades into stocks filtered by lot size < 1000 and sector alignment, then selects ATM/ITM strikes from a pre-cached option chain. Data normalization handles missing ticks during 9:15 auction, bid-ask anomalies on illiquid options, and mid-expiry lot size changes — every tick validated before hitting filter logic. We built a queue-based sync system for COSA Burundi processing 60K+ records from multiple sources under strict time-window constraints — same pattern as your sector cascade, just slower. Key risk: bracket SL/target failing after a fill. Every order uses OCO pairs with 200ms auto-retry, idempotent order IDs prevent duplicates, and a 9:35 square-off runs as an independent watchdog process. Delivery over 21 days — Week 1: feed integration + filter engine. Week 2: execution with bracket SL and trailing 5 EMA exit. Week 3: backtesting, paper trading, hardening. Daily updates via Slack or WhatsApp. Naveen Brainstack Technologies

@mrkk4ever

Dear Client I saw your requirements regarding to develop a auto trading bot for intraday options trading in stock market of India using 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

@niketu88

Hi, You need a high speed intraday ORB engine combining sector index momentum with stock level filtering and automated options execution within a strict 4 minute window. I will build this with: - WebSocket based real time feeds (Sector Index + Stock Spot + Options) - 9:15–9:20 sector opening range marking - 1% directional sector filter - Stock momentum validation (1–2% aligned move) - ATM/ITM contract auto selection - Immediate SL (10%) & Target (15%) placement - 5 EMA trailing logic on 1 min chart - Hard square off at 9:35 AM Architecture: Data Stream --> Sector Filter --> Stock Filter --> Option Selector --> Execution Engine --> Risk Manager System will prioritize speed, execution safety, and slippage control. Let’s confirm broker API and margin rules so I can design the execution layer correctly.