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Project: Titan-X Prime (Quantitative Options Scalper) Target Environment: Python 3.13 (Free-Threaded/No-GIL) Primary Goal: To capture high-conviction "Gamma Bursts" in Nifty Options while neutralizing the 2026 0.15% STT tax drag through microstructure-based precision. 1. System Architecture (Concurrency Model) The system must utilize a Multi-Threaded Producer-Consumer model to leverage Python 3.13’s true parallelism. • Thread 1 (Ingestion): WebSocket feed for Nifty Spot, Futures, and ATM/Near-OTM Option Chain (±10 strikes). • Thread 2 (Microstructure): Real-time calculation of Weighted Order Book Imbalance (WOBI) every 100ms. • Thread 3 (GEX Engine): Recalculation of Dealer Gamma Exposure (GEX) and Zero-Gamma Level every 60 seconds. • Thread 4 (Execution): Signal validation (Quad-Gate) and Order Management (API calls). 2. The Quad-Gate Signal Logic No order shall be fired unless all four gates return TRUE. Gate 1: Physics (Regime Detection) • Calculation: Total Net Gamma per strike ($OI \times \text{Gamma} \times \text{Spot}$). • Logic: * Short Gamma Regime (Spot < Zero-Gamma): Trend-following/Breakout strategies ENABLED. o Long Gamma Regime (Spot > Zero-Gamma): Mean-reversion only. Breakout signals DISABLED (to avoid chop). Gate 2: Truth (Microstructure) • Calculation: $WOBI = \frac{\sum (BidVol_i \times w_i) - \sum (AskVol_i \times w_i)}{\sum (BidVol_i \times w_i) + \sum (AskVol_i \times w_i)}$ where $w = [1.0, 0.5, 0.25, 0.125, 0.0625]$. • Validation: * Long: $WOBI > 0.35$. o Short: $WOBI < -0.35$. Gate 3: Probability (ML Layer) • Model: Lightweight XGBoost (pre-trained). • Inputs: RSI Slope, Distance from VWAP, WOBI, Time of Day. • Threshold: Probability score $> 0.65$. Gate 4: Technical (The Trigger) • Timeframe: 1-Minute Candle. • Long Trigger: Close above Upper Bollinger Band (20, 2) + Candle Body $> 60\%$ of total range. ________________________________________ 3. Execution & Risk Specs • Instrument: Deep ITM Options ($\Delta \approx 0.70$) to maximize point capture vs. fixed STT. • Entry: Limit Order at $LTP + 3$ points (Aggressive Fill). • Sizing: Dynamic ATR-based sizing (Risk $\div$ (ATR $\times$ Lot Size)). • Mandatory Stop Loss: Max(10% Premium, 8 points). • Exit Protocol: 1. Fast Exit: Exit if $LTP < \text{Prev 1-min Low}$. 2. Predictive Exit: Exit if $WOBI$ flips sign for $> 3$ seconds. 3. Trail: Trigger 0.5x ATR trail once profit exceeds 1.5x ATR. 4. Technical Implementation Notes for Developer 1. Parallelism: Use [login to view URL] with shared-memory objects; avoid multiprocessing to eliminate serialization latency. 2. Speed: Implement WOBI and GEX calculations using NumPy vectorization or Numba (JIT). 3. Connectivity: Use DhanHQ or Fyers API with a persistent WebSocket connection. 4. Tax Sensitivity: All "Break-Even" logic must be calculated as: $\text{Entry Price} + (\text{Total Statutory Charges} \div \text{Lot Size})$.
Projektin tunnus (ID): 40225539
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20 freelancerit tarjoavat keskimäärin ₹23 600 INR tätä projektia

Hello there, ●●●Python Expert is Here●●● I’ve checked your project – “Python Trend-Following Stock Bot” And read the description carefully. As a professional Python Expert I’m damn sure that I can “Create Titan-X Prime (Quantitative Options Scalper) bot” as you mentioned in the descriptions. I’ve done a lot of Python project based on ✔Django, ✔Pandas, ✔Flask, ✔FastAPI, ✔Jupyter Notebook, ✔Automation, ✔Selenium & etc in various platform. You can visit my profile and check the Reviews of my previous all Python Project so that you can get the idea about my knowledge and skills. I’m ready to be hired or ready to be awarded as I can start this task Right Now. So, I’m waiting for your response in chat box. Warm Regards! Eng. Bablu Mondol
₹13 000 INR 3 päivässä
5,9
5,9

Hi there, Before outlining architecture and timeline, can you confirm whether this system is intended strictly for live execution (real capital) or if you also require a full tick-level backtesting and paper-trading framework integrated from day one?
₹45 000 INR 5 päivässä
5,7
5,7

As a seasoned AI Mobile & Web Developer, I've honed my programming skills to master Pythonic techniques. My expertise in API and software architecture makes me uniquely qualified to handle project Titan-X Prime's Python coding requirements for constructing true multithreading confluence. Drawing on your project's rich technical detail, I understand the need to perform real-time calculations of weighted order book imbalance (WOBI) every 100ms using Numpy vectorization or NumBo (JIT), and have the experience to make this happen. Moving on, my artificial intelligence command is an excellent fit for this project. I have advanced skills in machine learning using lightweight XGBoost models, which aligns perfectly with your probability-based decision making gate. Furthermore, I am adept at handling microstructure data analysis that will enable the implementation of gate 2: Truth - the validation gate. In essence, I bring not just Python programming skills to your project, but a holistic understanding of how AI can enhance it immensely. Moreover, I bring a keen understanding of risk management with mandatory stop loss measures and multi-layered exit strategies that minimize loss while efficiently managing trailing profits. Together with these rich positives, remarkable fluency in written communication represents an invaluable asset for effective coordination and documentation throughout the project journey.
₹25 000 INR 7 päivässä
5,6
5,6

With my 7+ years of professional experience, specializing in Python and software architecture, I stand ready to bring your project,Pitch: 'Python Trend-Following Stock Bot', to fruition. Having worked in various domains including web and app development, I have a wide range of skills that will add significant value to your quantitive options scalper tasks. I understand the importance of true parallelism and effective system architecture in your project. Leveraging my deep understanding of Python 3.13's concurrency model, I assure you a solution employing multi-threaded producer-consumer model to masterfully capture high-conviction "Gamma Bursts". Furthermore, let me assure you that beyond my technical skills, I am not just a programmer,I am a dedicated professional committed to meeting clients’ expectations thoroughly. Combining this dedication with the depth of my experience in software development specifically using Python and in domains ranging from web development to Artificial Intelligence speaks volumes about how perfect of a fit I am for this project. So let's work together towards accomplishing amazing results for Titan-X Prime (Quantitative Options Scalper).
₹12 500 INR 7 päivässä
6,4
6,4

Hi, your Titan-X Prime architecture is well-defined and technically serious. I can implement the full multi-threaded producer-consumer model in Python 3.13 (free-threaded), with dedicated ingestion, WOBI microstructure, GEX recalculation, and execution threads using shared-memory objects. WOBI and gamma calculations will be NumPy/Numba optimized for sub-100ms performance, and the Quad-Gate logic will be cleanly modularized for auditability. I’ll integrate DhanHQ/Fyers WebSocket + order APIs, implement ATR sizing, tax-aware breakeven math, and deterministic risk controls. You’ll receive structured code, config-driven parameters, and deployment-ready documentation. Best Regards..
₹25 000 INR 7 päivässä
4,9
4,9

Hello , I checked your project, and it looks interesting. This is something we already work on, so the requirements are clear from the start. We mainly work on Python, Data Processing, Software Architecture, C++ Programming, Statistical Analysis, API, NumPy, Data Analysis, Financial Modeling, Algorithm Analysis We focus on making things simple, reliable, and actually useful in real life not overcomplicated stuff. Let’s connect in chat and see if we’re a good fit for this. Best Regards, Ali nawaz
₹50 000 INR 8 päivässä
4,5
4,5

Coming from a product-oriented mindset, with an emphasis on performance and optimization, I am confident that my skills make me an excellent fit for your project. In my 4+ years as a developer, I have successfully brought valuable solutions to more than 30 clients, including the development of robust SaaS platforms that scaled businesses' revenue beyond $80K+ MRR. I am fluent in Python and possess specific expertise in areas crucial to your project's success, such as data processing and parallelism. My proficiency in vectorization using NumPy, as well as Python threading without GIL limitations, will help create a system with genuine parallelism to optimize your desired multi-threaded producer-consumer model. Moreover, I appreciate your mention of tax sensitivity; rest assured I have worked with complex financial models before and built robust web & mobile applications with high-stake calculations. My meticulous approach to risk management aligns perfectly with your execution and risk specs, ensuring profitable results while sticking to the tax regulations in question. Let's collaborate on Titan-X Prime and optimize it into a finely-tuned financial powerhouse!
₹25 000 INR 7 päivässä
2,5
2,5

Hello, I am excited about the opportunity to develop the Titan-X Prime stock bot. - I have extensive experience in creating Python-based trading algorithms, including trend-following strategies. - My plan includes: 1. Requirement analysis 2. Designing the algorithm 3. Implementing and testing in Python 3.13 4. Optimization and deployment - I will use libraries like Pandas, NumPy, and TA-Lib for data analysis. - I propose a timeline of 4-6 weeks with regular updates via email or chat. Choose me for my proven track record and commitment to delivering high-quality results. What specific features do you want in the bot? Do you have any preferred data sources for trading? Regards, Bharti M.
₹25 000 INR 7 päivässä
2,2
2,2

Dear Client I saw your requirements regarding to develop a auto trading bot for NIFTY OPTIONS 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
₹12 500 INR 1 päivässä
1,5
1,5

Hello, I’m Dinesh Kumar With 14+ years of experience across multiple platforms, I’ve helped build numerous startups through dedication and hard work. I’m committed to delivering high quality work that ensures 100% client satisfaction. Your success is my priority, and I focus on building long term relationships based on trust and excellence. Expertise: Web & App Development – React.js, Node.js, JavaScript, PHP, MySQL, WordPress, Magento, CodeIgniter, Shopify, .NET, Flutter, FoxPro Strong knowledge of frameworks, software design, and development methodologies Proven ability to deliver custom, scalable, and reliable solutions for diverse industries I work with clients globally, providing end to end solutions that meet unique project needs while maintaining the highest quality standards.
₹25 000 INR 7 päivässä
0,0
0,0

Hi, We would like to grab this opportunity and will work till you get 100% satisfied with our work. We are an expert team which have many years of experience on Python, Data Processing, Software Architecture, C++ Programming, Statistical Analysis, API, NumPy, Data Analysis, Financial Modeling, Algorithm Analysis Please come over chat and discuss your requirement in a detailed way. Regards
₹12 500 INR 7 päivässä
0,0
0,0

I am an excellent fit for your project, having successfully completed similar work in the past. Your need for a clean, professional, and highly integrated multi-threaded Python 3.13 system that captures precise Gamma Bursts with seamless automation aligns perfectly with my expertise. I understand the importance of a user-friendly, automated Quad-Gate signal logic combined with microstructure calculations to neutralize STT tax drag effectively. I offer strong skills in concurrent system architecture, real-time data processing using NumPy and Numba, and API integration with trading platforms like DhanHQ and Fyers. Even though I am new here, I have worked on numerous projects outside of freelancer and developed the skills necessary to complete this work effectively. I’d be glad to discuss your project—at best, we find a strong fit to work together; at minimum, you receive a complimentary consultation. Regards, Keagan
₹17 250 INR 30 päivässä
0,0
0,0

I know how develope multithreading soft and sockets by tcp/ip, but the description of project isn't clear for me.
₹25 000 INR 30 päivässä
0,0
0,0

I’m a Python developer with strong experience in quantitative finance and low-latency data pipelines. I’m comfortable designing multi-threaded producer-consumer systems and optimizing numerical workloads with NumPy/Numba. Your Titan-X Prime architecture, Quad-Gate logic, and risk framework are clear to me, and I can translate them into clean, high-performance Python 3.13 code with robust WebSocket ingestion, signal validation, and order management. I focus on reliability, speed, and well-documented, maintainable systems suitable for live trading. Happy to discuss details and start quickly.
₹25 000 INR 3 päivässä
0,0
0,0

Hi, I have worked on real time algo trading project where the NSE market is being watched for sharp rise and falls . The integration was done through fyers . I believe this is also on the similar pattern and I can pull this off. Thank you
₹15 000 INR 7 päivässä
0,0
0,0

Hi, Your Titan-X Prime spec is clear and well thought out — multi-threaded ingestion + microstructure + GEX + execution with Quad-Gate validation is exactly how a production quant scalper should be structured. I can build this in Python 3.13 free-threaded mode using a producer–consumer architecture with shared memory objects and zero serialization overhead. Implementation plan: • Threaded WebSocket ingestion (Spot/Futures/±10 strikes chain) • 100ms vectorized WOBI engine (NumPy/Numba) with depth weighting • Scheduled GEX + zero-gamma recompute with optimized OI × gamma aggregation • Quad-Gate signal engine with regime filter + trigger validation • XGBoost inference layer (pre-trained model integration) • Low-latency execution module (DhanHQ/Fyers) with limit-offset logic • Full risk layer: ATR sizing, STT-aware breakeven math, predictive WOBI exits, trail logic • Structured logging + replayable signal audit Code will be modular, benchmarked, and backtest-replayable. No multiprocessing — true threaded parallelism only. Happy to start with architecture skeleton + feed handler first.
₹22 000 INR 7 päivässä
0,0
0,0

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