Options Strategy Creation-Python OR Quantower India -- 2

@sdqtrades

As an AI and automation expert with a strong focus on the financial markets, I am uniquely qualified to take on your options strategy project for the Indian index and equity market. With regards to platform and language, while Quantower India is not in my extensive repertoire, my proficiency with Python is a tremendous asset here. I have developed trading scripts and bots on various other platforms like Tradingview, Metatrader, Thinkorswim, Ninjatrader, cTrader, and with exchanges including Binance, Bybit, Coinbase. My understanding of automated signal generation that allows for manual intervention aligns perfectly with your requirement for semi-algorithmic order processing. My experience in financial analysis and risk management further enhance my ability to design strategies that prioritize consistent premium capture while strictly adhering to risk control and disciplined position sizing. Most importantly, as someone who has created multiple trading systems over time, I understand the importance of clean, well-commented source code. This ensures not just seamless execution of trades but also allows for easy tweaking of logic as needed. Moreover, my fastidiousness extends to end-of-day performance reports in an easily readable CSV format and ensuring that all deliverables pass through Quantower without any errors.

@vishal1145

Your strategy will fail if you don't solve the latency problem first. Indian option chains refresh every 500ms on most broker APIs - by the time your Greeks calculation completes and sends the order, the premium you saw is already stale. I've built 4 algo systems for NSE options and every single one needed sub-100ms execution to avoid slippage eating into theta gains. Before I architect this, two critical questions: 1. What's your broker's API tick rate and order latency? If you're on Zerodha/Angel with their standard REST endpoints, we'll need a WebSocket layer plus local Greeks caching to hit realistic fill rates. 2. Are you targeting Nifty/BankNifty weeklies or monthly contracts? Weeklies have tighter bid-ask but gamma risk explodes on expiry day - your delta hedging logic needs different thresholds depending on DTE. Here's the execution framework: - QUANTOWER C# INTEGRATION: Build custom indicators that calculate IV percentile and delta-gamma exposure in real-time, then trigger alerts when your iron condor wings breach 0.15 delta or when theta decay drops below your daily target. - POSITION SIZING ENGINE: Implement Kelly Criterion with a 0.25 fractional multiplier to size each trade based on your account equity and historical win rate - prevents over-leveraging during low-volatility regimes when premiums compress. - GREEKS MONITORING: Poll option chain every 200ms, recalculate portfolio delta/vega, and auto-hedge when net delta exceeds ±50 or when VIX spikes 15% intraday - this prevents directional blowups during RBI announcements or global selloffs. - PAPER TRADING VALIDATION: Run parallel shadow orders in your live account that log intended fills vs actual market prices - I've seen 8-12 point slippage on BankNifty during 9:20-9:30 AM volatility that back-tests never capture. - CSV REPORTING: Generate end-of-day P&L attribution showing theta earned, gamma losses, and adjustment costs separately so you can identify which structure (credit spread vs iron condor) performs better in different VIX regimes. I've deployed similar systems for 2 prop desks trading NSE derivatives - one scaled to 40 concurrent positions before margin limits kicked in. Let's schedule a 20-minute technical call to walk through your broker's API docs and confirm Quantower India supports the tick-level data you need. If the infrastructure isn't there, we're building on sand.

@Web1devloper

With over eight years in the data analytics and science field, I am confident I can create a custom options strategy that aligns perfectly with your goals of generating consistent income without high-risk returns. My expertise spans across various areas you find essential like data storytelling, dashboard development, and predictive analytics — all necessary skills needed to successfully develop an automated trading strategy in Quantower India. Though I haven't specifically used Quantower India before, my adaptability and creativity will ensure I master the platform quickly. Proficient in Python, one of Quantower India’s recommended languages, I possess the technical skills and deep industry knowledge necessary for creating a modular, direction-agnostic strategy that fits your precise specifications. One thing that separates me from other freelancers is my emphasis on clean, well-commented source code; this enables easy tweaking of logic by you or subsequent developers. Also, having worked on several sophisticated data projects prior – helping businesses optimize operations, improve customer understanding, forecast outcomes – I believe I've developed not only the technical competence but also the problem-solving and communication skills that’ll be required to deliver your project successfully.

@nexvative

Hello, Your project aligns well with my experience in algorithmic trading, options strategy automation, and quantitative development. I have extensive experience building Python-based trading systems that integrate with broker APIs, process real-time market data, calculate Greeks, manage multi-leg options positions, and implement sophisticated risk-management frameworks. I can develop a modular Quantower strategy that supports income-focused options structures such as Iron Condors, Credit Spreads, Short Strangles, and other neutral theta-based strategies with strict risk controls. For this project, I can deliver: ✓ Quantower-compatible C# strategy with clean, maintainable code ✓ User-configurable parameters for strikes, lot size, risk limits, position sizing, and adjustment rules ✓ Real-time Greeks monitoring and margin validation before order execution ✓ Automated delta and volatility-based adjustment logic ✓ Semi-automated workflow allowing manual approval before execution ✓ On-chart alerts, popup notifications, and detailed trade logs ✓ End-of-day performance reporting in CSV format ✓ Modular architecture for future broker/API integrations and strategy enhancements My development approach focuses on reliability, risk management, and transparency, ensuring that every entry, adjustment, hedge, and exit follows predefined rules and remains easy to audit.

@KrisuTechkul

As a seasoned developer and AI expert, I believe I have the exact skill set and experience you need for this project. I have a strong command over Quantower India, C#, and Python, three essential components for crafting your custom automated trading strategy for Indian options. My AI solutions have been designed specifically to address business complexities such as yours where the key goal is consistent income generation versus high-risk aggressive returns. I’ll leverage my deep understanding of strategies like credit spreads, iron condors and neutral theta plays — all strategies I am familiar with in Indian index and equity options trading. This will ensure that your liquidity streams remain healthy while delivering smooth P/L curves consistently. Lastly, the value-adding proposition of working with me extends beyond the delivery of solid code. You can trust in my ability to make the code modular for easy portability if required later on and provide you with clean, well-commented source code that enables you to make subsequent logic tweaks effortlessly. Let's connect immediately so we can discuss your project further!

@loxtic

Hello, how are you doing? I have considerable experience building automated options strategies for Indian markets and have deployed several semi-automated setups that focus on consistent premium capture with clear risk controls. I’ve worked with Python-based tools and modular code so porting logic to other broker bridges is feasible, and I can tailor the flow to feed Quantower India workflows while keeping the core logic clean and well-commented. I can show a proof of concept and adjust parameters and risk rules to match your criteria, with on-chart alerts and end-of-day reports. Let me know further if interested.

@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

@NEHABHAT92

With over a decade of solid Python experience, I am well-equipped and ready to deliver on your custom semi-automated/fully automated trading strategy. My proficiency extends to platforms like Quantower India, so I can confidently navigate and troubleshoot errors when necessary. My deep understanding of C# based scripts in the Quantower framework also makes sure your customizations later down the road won't be hamstrung by any decision you make now. Your Pragmatism is commendable. With nuanced knowledge on option strategies centred around steady income growth, my skills align distinctly with your project objectives. Especially, my expertise with 'clean,' 'well-commented' source codes would ensure that you can tweak the core logic smoothly to optimize performance using your defined parameters later on. Lastly, apart from implementing your specific requirements, I bring value-additions from successfully strategizing and deploying income-oriented option systems in other projects. These enhancements could potentially amplify the overall efficacy of your trading strategy. Before taking the project ahead, I will take pains to understand other minute details about this project so we are all marching in the same direction. Looking forward to working on this meticulously fascinating project with you!

@iterativeTech

As a seasoned AI/ML engineer with deep proficiency in Python, I possess all the technical skills and business acumen needed to build and deploy your custom semi-automated/fully automated trading strategy focusing on Indian index and equity options. I understand that you are looking for a strategy that generates a steady stream of income through consistent premium capture, disciplined position sizing, and strict risk controls, and I can assure you of my ability to deliver exactly that. While I haven't worked specifically with Quantower India, my broad experience across finance makes me confident in my ability to quickly learn and adapt my skills to new platforms. My expertise in designing intelligent models including forecasting, classification, NLP and real-time analytics prepares me well to meet your key requirements such as automatic hedging based on real-time data feeds. Additionally, my passion for clean, well-commented code guarantees a thoroughly documented logic with enough flexibility that allows seamless adjustments or expansion in the future. Choosing me means you're hiring an outcome-focused professional who values translating complex data into actionable insights for your business' success. My approach emphasizes understanding your unique needs and aligning them with high-performance solutions built on AWS or Azure platforms ensuring high industry standards of security and cost efficiency.

@tyronet2

Income-focused options systems live or die on the hedging discipline, not the entry signal — an iron condor or credit spread is straightforward to open; what actually protects the "steady stream" you're after is catching delta or vega drift early enough that an adjustment costs you a small known amount instead of turning into an uncapped loss. I'd build the position-management layer as the real core of this system, with signal generation as a thinner layer feeding into it. My approach: C# within Quantower's native framework for the live strategy, structured so the core risk/adjustment engine is decoupled from order execution — that's what lets the same logic port to another broker bridge later without a rewrite, as you mentioned wanting. User-defined parameters (underlying, strikes, lot size, max positions, risk per trade) sit in a clean config layer, with real-time Greeks and margin checks gating every order before it fires, not just logged after the fact. For the semi-algo flow, I'd build manual approve/reject/adjust as a first-class part of the UI rather than bolted on, since that's core to how you want to operate, not an edge case.

@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!

@rahulsimraiya131

Rahul here, I understand you're looking for a semi-automated/fully automated options trading strategy for Quantower that prioritizes consistent premium capture, disciplined risk management, and controlled position sizing rather than aggressive returns. I've worked on algorithmic trading systems, broker/API integrations, and custom strategy development, and can help build a modular solution that supports future portability to other broker gateways if needed. * Custom Quantower strategy with configurable parameters for underlying, strikes, lot size, risk, and position limits * Automated signal generation with manual approval, modification, or rejection before execution * Real-time Greeks, margin validation, and risk checks before order placement * Delta and volatility-based adjustment and hedging rules * On-chart alerts, pop-up notifications, and end-of-day CSV performance reporting * Clean, well-documented code with paper-trading validation and backtest alignment I would recommend building this in Quantower's native C# framework to ensure stability, performance, and seamless broker connectivity. I can deliver a fully tested implementation, support paper-trading validation, and ensure the execution behavior matches the coded strategy rules. Thank you for your consideration.

@itsrehman67

Hello, I am a Full Stack Developer with experience in backend development, API integrations, and building scalable web applications. While my primary expertise is in application development rather than quantitative trading systems, I can assist with backend architecture, API integration, reporting dashboards, authentication, and performance optimization. If the trading strategy and business rules are already defined, I can help implement them in clean, maintainable code and work alongside your domain expert where needed. I write modular, well-documented code and follow Git-based workflows with a focus on reliability and long-term maintainability. If you're looking for a developer to implement and maintain the software side of the project, I'd be happy to discuss the scope further. Best Regards, Abdul Rehman

@Ashton4x

Hello, The hard part of generating a steady income through Indian index and equity options isn't just about creating a trading strategy — it's about ensuring consistent premium capture with strict risk controls. I'm excited about the opportunity to develop a custom semi-automated/fully automated trading strategy on the Quantower India platform, focusing solely on options. For this project, I will: - Develop the strategy using Quantower India with a C#-based script or recommended native Quantower framework. - Implement direction-agnostic structures like credit spreads, iron condors, or neutral theta plays. - Include user-defined parameters, real-time Greeks and margin checks, automatic hedging, alerts, and a performance report in CSV format. Turnaround time: 3 weeks. One genuine question: Are there any specific risk thresholds for automatic hedging that you have in mind? Next step: Let's schedule a call to discuss any further details or clarifications needed for a seamless project execution. Looking forward to working together.

@MaazDeveloperDot

With my extensive experience and expertise in C# Programming, I can confidently take on your project and create a cutting-edge semi or fully-automated trading strategy that perfectly aligns with your income-oriented approach to Indian index and equity options. Although Quantower India with C#-based script is your preference, I assure you I could adapt to any native Quantower framework recommended. Moreover, my familiarity with broker bridge and API applications ensures that the facilitate potential future porting processes are top-notch. One crucial aspect of your project's success is the ability to exercise user-defined parameters, real-time Greeks and margin checks, and automatic hedging. Rest assured, I can proficiently meet all these requirements while meticulously following your instructions about delta adjustment, profit booking, loss cut-offs and even providing alerts in the form of on-chart and pop-up notifications. Notably, I intend to maintain a highly transparent journey for you as evidenced by providing you with an end-of-day performance report in CSV format as well as code that's well-commented making it comprehensible for future tweaks. Let's chat further so I can learn more about your specific needs and further establish why I'd be the perfect fit for your project!

@CyberSasu

As a seasoned developer well-versed in Python, I understand the importance of reliability and performance in creating automated trading strategies, making me the perfect fit for your project. Not only do I specialize in Python, but I also have substantial experience with Quantower India with a profound grasp of the C#-based script you mentioned. My proficiency will ensure your strategy operates seamlessly on this platform and can easily transition to other broker bridges or APIs if required in the future. One of my strengths lies in my comprehensive approach to problem-solving. Whether it's risk control or disciplined position-sizing influence, I can design the logic to maintain consistent premium capture while also prioritizing your goal of generating a steady stream of income. In addition, my expertise extends to real-time Greeks and margin checks, areas crucial to options trading.

@bizvivo

With my broad and deep skills in data science, analytics, and financial analysis, I am well-equipped to develop the custom trading strategy you need for the Indian index and equity options market. My proficiency in Python and familiarity with Quantower India would ensure seamless execution of the strategy. As it revolves around semi-automated/fully automated trading, I can provide you a modular code which can be easily ported to other broker bridges or APIs if needed in the future. In tune with your requirement for a strategy that prioritizes consistent premium capture and disciplined risk control, I have successfully developed predictive models that optimize marketing campaigns. This experience in forecasting and risk management is highly relevant to constructing an income-oriented option system. As required, I would also provide thorough user-defined parameters to allow easy tweaking of logic if needed. Lastly, delivering on your acceptance criteria is my utmost priority. I would ensure each aspect - from a smoothly loading strategy in Quantower without errors to matching back-tested logic - is diligently met through rigorous paper trading.

@jabulanix

I understand that hiring a freelancer without reviews requires trust. One advantage of working with someone building their reputation is that you get their full attention and commitment. Before submitting this proposal, I took the time to understand what success looks like for this project. For your custom semi-automated / fully automated trading strategy focusing on Indian index and equity options, I propose leveraging Quantower India with a C#-based script for flexibility. My approach includes direction-agnostic structures like credit spreads, iron condors, and robust risk controls for consistent premium capture. I have experience in building trading strategies outside Freelancer.com and offer discounted rates while establishing my profile here. Payment is only required if the final work meets the agreed project scope and requirements. I'd love to chat more about your project! The worst that can happen is you walk away with a free consultation. Regards, Jabu

@d3f4ltmb

Thank you for the detailed specification. I can see this is a serious project, and I am interested in working on it. However, I need a few clarifications: Technical questions: Which broker are you using? (Zerodha, Angel, or another one?) This will determine the integration adapter. Is Quantower already connected and working with your broker? Are Greeks provided by the broker, or should I calculate them myself? What exact spreads/condors are you using? (OTM %, expiry, position size, profit/loss thresholds) Do you need backtesting, or only demo trading? Commercial: What is the budget and timeline? From my understanding, this is around 80-100 hours of work, so a fair range would be ₹80k-120k for a quality implementation. My experience: I am an experienced developer of trading strategies in Python and C#. I have worked with Quantower, but I am not specialized specifically in Indian options. I will adapt based on your broker and setup. This should not be a problem, as I can quickly adjust to the requirements. Proposed plan: Day 1-2: Quantower and broker integration, data parser Day 3-5: Spread logic and signal generation Day 6-8: Hedging and risk management Day 9-10: Reporting, alerts, and cleanup Day 11-15: Demo trading, improvements, and adjustments based on your feedback I am ready to start after confirmation.