Automated NIFTY50 Options Trading System Development

@Milvetti

Hi, we can help you with your NIFTY50 Options Regime-Based Automation. We offer lifetime bug fix guarantee. As Milvetti, we help traders automate their strategies. Price is an estimate and may vary by scope.

@prashanpatel557

Hello, I can build your NIFTY options regime-based automated system with reliable execution and strict risk control. Approach: • Python + broker API (Zerodha/Dhan preferred) • Event-driven engine: data → regime detection → strategy → execution • VPS/cloud deployment for 24×7 stability Strategy Engine: • Regime detection: VWAP + ADX + RSI + ORB + MTF confirmation • Logic routing: – Bullish → Bull Put Spread – Bearish → Bear Call Spread – Range → Iron Condor • Non-repainting (closed candle logic only) Risk Management: • Capital ₹50K, max daily loss ₹1500 • Max 2 trades/day Execution Layer: • Retry + fail-safe logic • Auto exit (SL/target/time-based) Monitoring: • Dashboard (PnL, DD, trades) • Logs + equity curve tracking Deliverables: • Full source code + documentation • VPS deployment setup • Live demo + handover Timeline: 10–14 days Budget: ₹25,000 – ₹35,000 I have experience with options strategies, trading APIs, and automation systems, ensuring practical execution. Question: Which broker do you want to use for execution (Zerodha, Dhan, or another)?

@Andyloredo

Developing a robust, automated trading system that dynamically adapts to market regimes like the one you've described requires careful architecture and precise execution. I've built similar rule-driven algorithmic trading systems for clients, integrating broker APIs and implementing sophisticated risk management protocols. I'm confident I can deliver a solution that meets your specifications. My approach will focus on translating your detailed strategy—incorporating VWAP, ADX, and the other indicators—into clean, efficient JavaScript code, deployed on a VPS for 24/7 operation.

@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

@netswaptech2811

----------->>> “Let’s build a disciplined, fully automated options engine—focused on precision, risk control, and consistency Hello Have a Nice Day____!!! I understand you’re not just looking for a bot—you want a rule-based, regime-aware trading system for NIFTY options that only executes high-probability setups with strict risk management. The focus will be on non-repainting logic, clean execution, and capital protection first, then performance. FEATURES_______!! Regime detection engine (Trend vs Range using VWAP, ADX, RSI, ORB, Volume, MTF) Strategy logic: Bull Put Spread, Bear Call Spread, Iron Condor Strict entry rules (breakout + retest confirmation, closed candle logic) Risk management (₹50K capital, ₹1500 daily loss cap, max 2 trades/day) Dynamic position sizing (based on VIX & performance) Drawdown protection (auto lot reduction after losses) Broker API / Tradetron integration (fully automated execution) Limit order execution with slippage & retry handling Real-time alerts (WhatsApp / Email) Performance dashboard (PnL, win rate, drawdown, equity curve) ------->>> Ideas to Strengthen the System Add trade journaling + tagging for strategy improvement Include market session filters (avoid low-liquidity traps) Implement IV crush/expansion filters for better spreads Add kill-switch logic for abnormal volatility days Enable SAFE / NORMAL / AGGRESSIVE modes dynamically Lets connect right away! Thanks Swapnil.

@niveditaj1

Hello There, You want a professional NIFTY options automation engine that adapts its strategy based on market regime and enforces strict risk management. 1) Which broker API do you prefer for high speed limit order execution to minimize slippage? 2) Should the IV vs RV filtering logic use historical volatility from a specific lookback period? 3) Do you want the SAFE/NORMAL/AGGRESSIVE modes to switch automatically based on VIX levels or manual selection? We will build a disciplined trading partner that takes the emotion out of your NIFTY options trading by strictly following your high quality setup rules. You will gain peace of mind knowing your capital is protected by a system that stops trading automatically if your daily loss limit is hit or if market conditions do not fit your criteria. This setup allows you to scale your trading business without being glued to the screen, as the bot handles the complex multi timeframe analysis and risk calculations with surgical precision. Best regards, Nivedita Joshi

@Gauravkrpatel01

Hi, This is a well-structured strategy—combining regime detection with spreads and strict risk control is exactly how robust algo systems are built. I’ve developed automated trading bots with indicator-based logic, options strategies, and broker API integrations, including handling execution reliability and risk constraints. I’d build this as a modular Node.js/Python engine: regime detection (VWAP, ADX, RSI, ORB, MTF), strategy layer (Bull Put, Bear Call, Iron Condor), and execution layer with broker APIs + retry/slippage control. Risk management (daily loss cap, position sizing via VIX, drawdown adjustment) and non-repainting logic will be strictly enforced, along with real-time alerts and performance tracking dashboards. I focus on stability + precise execution—critical for live trading systems. Happy to share similar work and refine your rules into a production-ready engine. Which broker/API are you planning to integrate (Zerodha, Angel, etc.)?

@ELGAMLDev

Hi, I've seen the fact that you've already defined the three strategy modes, the A+ setup criteria, and the risk parameters tells me you know exactly what you want. That makes the build cleaner. The part I'd spend the most time on upfront is the regime detection engine. Getting VWAP, ADX, and ORB to agree on a label trend vs range sounds simple but the edge cases are where most systems fall apart. I'd build that as a standalone module with its own logging so you can see in real time why the system chose Bull Put vs Iron Condor on any given day, rather than it being a black box. For execution I'd wire it to your broker API directly with limit-order logic, slippage controls, and a retry handler for rejections. Non-repainting is non-negotiable everything fires on confirmed closed candles only. VIX-based position sizing and the drawdown reduction logic I'd treat as a hard rule layer that sits above the strategy and can't be overridden by a signal. The three-mode system (SAFE / NORMAL / AGGRESSIVE) I'd expose as a simple config switch so you can flip it manually or automate the switch based on recent performance metrics. Full source code and rights handed over on delivery, no issue there.

@MKCHAND

Hi, see my portfolio. I have already completed more than 75 trading bot for Indian brokers like Zerodha, FYERS, ICICI DIRECT , UPSTOX and international platform like MT5 and Interactive Brokers. I can easily design your trading bot in cost and work effectively way. You will get a robust bot. And one of the best thing is that maintenence is free for lifetime. Let’s discuss your requirements in detail on chat .

@Sadiyasyeda24

Hello, I have read your project details and I get what you need. I am an expert with 4 years of experience in JavaScript, Software Architecture, API Development. Visit my profile to view latest projects. Please connect in chat so we can discuss. Best regards, Syeda Tahreem

@darshanjungk

As an experienced and dedicated Full Stack developer, I have a unique ability to translate intricate business requirements into practical, scalable solutions. My expertise in algorithmic trading, intensive understanding of options strategies, and API-based automation systems would make me the perfect candidate for your Automated NIFTY50 Options Trading System Development project. I have successfully delivered full-scale solutions from backend architecture to user-friendly interfaces and have extensive experience with brokerage APIs such as Tradetron and VPS. With my knack for building rule-driven systems based on various indicators like VWAP, ADX, RSI, and volume amongst others, I can create an intelligent system that would dynamically identify trend or range conditions based on a regime-based engine just as you need. To further enhance risk management, I am well-equipped to incorporate characteristics like a maximum daily loss limit, dynamic position sizing based on real-time indicators such as VIX and performance. Additionally, my proficiency in cloud-based operation ensures consistent performance irrespective of time zones along with real-time alerts via WhatsApp/email. Let me bring my skills in PHP, Laravel, JavaScript & React.js alongside my commitment to delivering clean & high-quality work to build a robust automated trading system specifically tailored to yield A+ setups based on your strict entry rules including breakout and retest confirmation.

@ErpBooks2001

I propose to design and deliver a fully automated NIFTY50 options trading system based on your specified rule‑driven strategies. The engine will dynamically identify bullish, bearish, and range‑bound regimes using VWAP, ADX, ORB, RSI, volume, and multi‑timeframe confirmation, ensuring only high‑quality A+ setups are executed. It will implement Bull Put Spreads, Bear Call Spreads, and Iron Condors with strict breakout and retest entry rules. Risk management will be embedded with a ₹50,000 capital base, ₹1,500 daily loss limit, maximum two trades per day, and dynamic position sizing tied to VIX and performance. Execution will be automated via broker API or Tradetron, with limit‑order entries, slippage control, retry logic, and VPS/cloud deployment for 24/7 operation. The system will include IV vs RV filters, non‑repainting logic, real‑time WhatsApp/email alerts, and performance tracking dashboards for win rate, drawdown, and equity curve. With strong experience in algo trading, options strategies, and API‑based automation, I will deliver a reliable, scalable solution with full source code ownership for your long‑term use

@mrkk4ever

Dear Client I saw your requirements regarding to develop an auto trading bot for NIFTY50 Options trading. I can develop this application ASAP. I developed many applications is similar to your requirements. Such as an indicators, analysis application, auto trading bot for various exchanges. Let share further details. Thanks and Regards Kannadasan K

@futuremaster777

NIFTY50 weekly options execution relies on precise regime detection to switch between Bull Put Spreads, Bear Call Spreads, and Iron Condor strategies. The system architecture will prioritize low-latency rule evaluation and automated risk management to ensure spread entries align strictly with identified market volatility and direction. Logic implementation will focus on the seamless transition between these three specific strategy types based on your defined indicators. The final engine will handle automated order placement and position monitoring to minimize manual intervention during market hours. Working estimate for the full scope: full delivery INR 1500, 30 days. Milestone structure: 25% kickoff milestone / 75% completion milestone. Final scope, timeline, and budget can be adjusted during discussion.