Build Algo using Python for Intraday Trading Strategy

@LiveExperts

Hello, As an experienced team of engineers and developers at Live Experts, we understand the importance of delivering high-quality work that not only meets your needs but exceeds your expectations. Our expertise in Python, data analysis, and financial analysis makes us well-suited for this project as we can successfully translate your existing multi-layer intraday trend-and-momentum strategy from Pine Script to Python. Moreover, our proficiency in Pandas, TA-Lib, and Backtrader is an added advantage as these are the tools you prefer to use for data handling, indicator parity and back-testing. We can ensure not only an accurate reproduction of the existing logic but also a modular design that will allow for easy parameter tweaking. The use of these tools combined with our skills will guarantee identical entry/exit points to your TradingView reference in the Backtrader test harness. Additionally, with a strong emphasis on documentation, você can rely on us to deliver a well-documented Python package or notebook set which connects to Zerodha's Kite API efficiently. Building on Indian-market algo projects similar to yours for Zerodha, we know how crucial latency is and our average live latency is specificallycrafted to keeptrade delays at a minimum during live trading. Our goal is not just `to achieve historical performance equal to your original Pine Script but also enable real-time & smooth trading via Zerodha using meticulous inform Thanks!

@softsolution2000

I have extensive experience in building algo strategies for the Indian market using Python and Zerodha's Kite API. I understand your requirement to translate your existing TradingView strategy into a Python algo for automated intraday trading. My approach will involve leveraging Pandas, TA-Lib, and Backtrader for accurate data handling, indicator parity, and back-testing. I am confident in replicating your Pine Script logic faithfully and providing well-documented deliverables meeting your expectations. Let's discuss further details to ensure a successful project completion. Please review my profile for a comprehensive overview of my expertise. Looking forward to collaborating with you.

@ZohaibRoy

⭐⭐⭐⭐⭐ Build Python Algo for TradingView Strategy with Zerodha Kite API ❇️ Hi My Friend, hope you are doing well. I reviewed your project requirements and see you are looking for a Python algo to replicate your TradingView strategy. You don’t need to look any further; Zohaib is here to help you! My team has successfully completed 50+ similar projects for trading algorithms. I will translate your Pine Script logic into Python, ensuring it communicates effectively with Zerodha’s Kite API to manage NSE/BSE orders. I'll use Pandas for data handling, TA-Lib for indicators, and Backtrader for back-testing. I will ensure the Python package is modular for easy tweaks and provide thorough documentation. ➡️ Why Me? I can easily create your trading algorithm as I have 5 years of experience in Python programming, specializing in algorithmic trading, data analysis, and API integration. Not only this, but I also have a strong grip on back-testing frameworks and performance metrics. ➡️ Let's have a quick chat to discuss your project in detail and let me show you samples of my previous work. Looking forward to discussing this with you in chat. ➡️ Skills & Experience: ✅ Python Programming ✅ Algorithm Development ✅ API Integration ✅ Data Analysis ✅ Backtrader ✅ Pandas ✅ TA-Lib ✅ Trading Strategies ✅ Performance Metrics ✅ Order Management ✅ Documentation ✅ Debugging Waiting for your response! Best Regards, Zohaib

@AITSoft

Hello, I understand you want to convert your multi-layer intraday strategy from Pine Script to Python, working with Zerodha's Kite API for live NSE/BSE trading. I’ll faithfully recreate your indicators and patterns using Pandas, TA-Lib, and Backtrader to ensure modular code that’s easy to adjust. My approach will focus on matching your TradingView results closely by mirroring your Pine Script logic line by line. I’ll build a tested Python package that streams live data, executes trades automatically, handles order tracking, and generates detailed trade logs and performance reports. The package will also include clear comments and a simple readme to tweak key parameters without deep code changes. I’m committed to accuracy in backtests on historical data and smooth paper trading. What data sources and intervals should I prioritize for real-time streaming with Zerodha? Do you want full automated order management including partial fills, or just basic entry and exit? Are there any specific error handling or fail-safe mechanisms you want in live trading? Would you prefer CSV or SQLite for trade logs, or should both options be included? What performance metrics and visualizations matter most for your ongoing strategy evaluation? What specific timeframes and data feeds should the Python algo use for live streaming and backtesting to best match your TradingView setup? Thanks,

@Herculesz

Hi I have strong experience building Python trading systems that replicate TradingView/Pine logic with high fidelity, including broker API execution, intraday state management, and backtesting workflows. The main technical challenge here is not writing a new strategy, but reproducing Pine calculations exactly in Python so multi-timeframe scoring, SuperTrend alignment, ATR exits, and time-gating behave the same in Backtrader and live Zerodha execution. My approach would be to translate the strategy module by module into a clean Python architecture using Pandas, TA-Lib, and Backtrader, then wire it to Kite for live data, order placement, modifications, and state persistence. I’ll also add detailed trade logs, performance metrics, and configurable risk/time parameters so you can tune sizing and execution rules without touching the core strategy engine. Thanks, Hercules

@Feriver

Hello, I am a Python developer with extensive experience in algo trading and API integrations, including Zerodha Kite. I can faithfully translate your multi-layer intraday Pine Script strategy into a modular Python system using Pandas, TA-Lib, and Backtrader. The Python algo will replicate dual-timeframe directional scoring, SuperTrend confirmations, jump/flip triggers, momentum scoring, ATR-managed exits, dynamic stop-losses, and strict intraday time gating exactly as in your TradingView setup. Deliverables include a fully documented Python package (or notebook set) that streams intraday data, executes live NSE/BSE orders, persists order/state data, and generates performance metrics, trade logs, and visualizations. Backtrader will reproduce all Pine Script entry/exit points for validation. I will include adjustable parameters for position sizing, risk management, and time gating without touching core logic. I can start immediately and ensure back-test and paper-trade results match your TradingView outcomes, with production-ready order handling. Questions: Should the algo include automatic error handling for Zerodha API downtime or order rejections? Do you want optional live plotting of equity curves and indicator states during market hours? Thanks, Asif

@seefattechnologi

Hello!=======>>>>>I can faithfully translate your TradingView Pine Script strategy into a modular Python algo that connects to Zerodha’s Kite API for live NSE/BSE trading. I’ll use Pandas for data handling, TA-Lib for indicator calculations, and Backtrader for back-testing, ensuring the Python implementation mirrors your Pine Script logic line by line. Deliverables will include a well-documented Python package, back-testing harness matching TradingView results, live order execution, trade logs, performance metrics, and adjustable parameters for position sizing, risk, and time gating. I focus on robust, low-latency execution, clear documentation, and maintainable code, ready for immediate paper or live trading.

@Milvetti

Hi, we can help you with your Zerodha Kite Python port of your TradingView strategy. We offer lifetime bug fix guarantee. As Milvetti, we help traders automate their strategies. Price is an estimate and may vary by scope.

@teodorgeorge

Hello, I can help translate your live TradingView intraday strategy from Pine Script into a modular Python algo that connects to Zerodha’s Kite API for real NSE/BSE order management. I will use Pandas for data processing, TA-Lib for indicator calculations, and Backtrader to back-test, ensuring the Python results closely match your original Pine Script behavior with clear logging and adjustable parameters. The deliverables will include well-documented, clean code for live execution, order persistence, performance metrics, and visualization options. I look forward to working closely with your Pine code walkthroughs to make a robust, hands-free algo for you. Thanks, Teo

@Muhammadzeesha59

Considering the detailed scope of your project, my six years of experience as a senior full-stack developer make me a great fit for the job. I am adept at handling multiple programming languages including Python, JavaScript, C++, and Java - which means I have an in-depth understanding of intricate programs like Algorithmic Trading. I have vast experience working with various data analysis tools and frameworks such as Pandas, which is essential for this project. In addition, I am well-versed with the basics of Mysql and Sql database administration that could come handy in executing your preferred script deployment choice. My history of building reliable Microcontroller projects utilizing platforms such as STM32 will be significant in wiring your strategy to Kite API precisely. Additionally, my knowledge of back-testing platforms like Backtrader guarantees I can accurately replicate your intraday trading behaviour on Python. Throughout my career, my focus has always been producing top-notch code with clear documentation—a skillset you'll find invaluable. In fact, I assure you that not only will I deliver the expected Python scripts but also provide easy-to-follow instructions (both comments and README) so you can manipulate key position sizing, time-gates and risk parameters without tampering with the core logics.

@iosifpeterfi

I'm Iosif Peterfi, 15+ years delivering secure, scalable tech solutions with a practical, results-driven mindset. This is my speciality - translating complex trading logic into robust, automated strategies for live markets, with clear controls and auditable results. You're looking to translate Pine Script logic into Python to talk to Zerodha's Kite API for automatic NSE/BSE intraday trading. The goal is a modular, maintainable solution that streams data, places and tracks orders, and mirrors the TradingView references in backtests, with logs, performance metrics, and optional visuals. It should come with a quick-start readme and configurable risk and timing settings. I'll deliver a modular Python package that connects to Zerodha, streams intraday data, executes the strategy, and persists state. A backtesting harness will reproduce entry and exit points from the Pine reference on historical data. Trade logs (CSV/SQLite), performance metrics (CAGR, hit rate, max drawdown), and optional equity charts or heatmaps will be included, plus a concise readme and adjustable knobs for position sizing, time-gating, and risk controls. The design will emphasize safe defaults, easy testing, and a smooth path to live trading with monitoring. Last quarter I helped a regional Indian broker migrate a momentum system to live Kite trading. The backtests matched the reference within a few basis points, and automated paper trading ran without manual trades for two weeks, reducing setup time and...

@sdqtrades

As a seasoned Trading Software Developer with over a decade of hands-on experience, I am confident in my ability to bring your project to life. In your project description, you mentioned the need for proven Indian-market algo builds on Zerodha - I have completed similar projects with an average live latency that has consistently exceeded client expectations. Specifically, I am also proficient in utilizing tools like Python for Trading Algo Development and familiar with Pandas for data handling, TA-Lib for indicator parity, and Backtrader for back-testing. More so, I fully understand the importance of accurate back-testing and maintenance of order/state persistence while complying with all relevant constraints. Therefore, I will deliver a finely-documented Python package that connects seamlessly to Zerodha and not only accurately relays real-time market dynamics but also handles order management effectively. Additionally, you can expect from me an easy-to-use system that generates comprehensive trade logs with performance metrics and visual charts of equity curve to aid prompt decision-making. Choosing me as your partner will guarantee you precise replication of your existing strategy into Python code without any compromise on functionality or efficiency. Let's get started on turning your profitable idea into a reality!

@mubeenm5026

I am Mubeen Khan, a seasoned expert in Python and Software Architecture, and I'm thrilled to bring my considerable experience and knowledge in algo trading to your project. As the CEO of Web Crest, technology and business impact are at the forefront of everything we do. I have personally been involved in the development of numerous trading applications, several of which were built for Zerodha's Kite API. This means that I am already well-versed with their platform which can help reduce the latency between data transfer. A feature that sets me apart is a strong understanding of both intraday price action strategies as well as quantitative trading with machine learning integration. Using this combination, I can faithfully replicate your existing multi-layer intraday trend-and-momentum algorithm from Pine Script to Python. I will ensure the newly developed module is modular enough for you to tweak parameters easily if needed.

@juanjosec63

Hi, I’m available to start right away. I have strong experience with Python, Pandas, Backtrader, TA-Lib, SQLite, API integration, and algorithmic trading systems, with hands-on experience building modular live-trading and backtesting engines that reproduce platform strategies faithfully, manage broker connectivity, persist order state, and generate clear logs and performance analytics. For this project, I would mirror your Pine Script logic module by module in Python, validate indicator and signal parity against TradingView, connect the strategy cleanly to Zerodha’s Kite API for live and paper execution, and structure the system so parameters like sizing, time filters, ATR exits, and risk controls can be adjusted easily without touching the core engine, while also delivering backtest comparison tools, trade logs, and performance reporting. You can expect clear communication, fast turnaround, and a high-quality result that fits seamlessly into your existing workflow. Best regards, Juan

@quan9824

With my extensive experience developing web applications and AI systems combined with my solid skills in Python, Pandas, and Data Analysis, I believe I am an exceptional fit for your project. I can assure you 100% job completion, prompt deliveries, and the highest quality of work. Having developed financial solutions before, I understand the intricacies of algorithmic trading; and replicating your existing Pine Script strategy into a Python algo will be no issue at all. I have an impressive track record in executing strategies using various APIs and libraries such as TA-Lib and Backtrader. I am already quite familiar with Kite API from Zerodha from developing similar projects in the past. Even more so, I specialize in time series forecasting and prediction which attributes to successful algorithmic trading. Being full-time available for this project will ensure less communication gap and quicker solutions for any adjustments you might require, like position sizing or risk parameters. Moreover, my commitment to writing maintainable and well-documented code means you'll be delivered an easily-tweakable package that exactly matches your original strategy while respecting standard coding practices. Let's chat further about your project details!

@emilesd617

Hi, I am a Python algo developer with 8 years of rich experience with a background in trading automation and strategy execution. I am familiar with Python, Pandas, Backtrader, SQLite, API integration. For this project, the most important part is matching the Pine Script logic exactly, because even a small difference in indicator calculation or order timing can change live results. I will translate the strategy into modular Python code, connect it to Zerodha Kite API, and make sure backtest and paper trading behavior stay as close as possible to your TradingView setup. I'm an individual freelancer and can work on any time zone you want. Please contact me with the best time for you to have a quick chat. Looking forward to discussing more details. Thanks. Emile.

@codefusion53

Hi I can translate your complete TradingView Pine Script logic into a fully automated Python algorithm connected to Zerodha’s Kite API. Using Pandas for data handling, TA‑Lib for indicator parity, and Backtrader for back‑testing, I’ll replicate your dual‑timeframe scoring, SuperTrend confirmations, ATR‑based exits, and intraday gating exactly as in your Pine version. Each module will be cleanly structured so you can adjust parameters—position size, time windows, or risk settings—without touching the core code. I’ll validate the build by running back‑tests on historical 1‑minute data and matching TradingView results within rounding tolerance, then move to live paper trading to confirm order flow, modifications, and exits through Zerodha. The final package will include trade logs, performance metrics, and visual analytics, plus a concise README for setup and customization. Best, Justin

@DigitaSyndicate

Projects like this don’t wait around, the faster it’s built right, the faster it pays off. That’s why I’m jumping in now. You need precise replication of complex multi-layered intraday trading logic, seamlessly migrated from Pine Script into a modular Python framework that engages Zerodha’s Kite API for flawless live order execution. The challenge lies in preserving bit-for-bit parity between backtest and live environments while enabling rapid parameter refinement without compromising integrity. DigitaSyndicate is a distinguished UK agency known for delivering meticulous, robust algorithmic trading platforms within compressed timelines. Recently, we crafted a Python-based momentum strategy for an FTSE client integrating Backtrader and real-time broker API streaming, achieving latency under 200 milliseconds. Our disciplined documentation standards and rigorous validation protocols ensure your code’s transparency and faultless operation in live conditions. Have you considered how your live execution pipeline will handle API rate limits and intermittent data feed interruptions, ensuring zero slippage or order mishandling? This is the moment to partner with an agency that delivers at the highest level — connect now. Casper M. | DigitaSyndicate

@danefoong

Hi, I’m very interested in translating your TradingView Pine strategy into a Python algo for Zerodha Kite. I understand that this project is about faithful reproduction, not strategy redesign. The goal is to mirror your live logic as closely as possible in Python, validate backtest parity against TradingView, and deliver a modular system that can stream data, place and manage orders, persist state, and generate logs and performance reports. I can build this with Pandas, TA-Lib, and Backtrader in a clean structure that separates signal logic, broker execution, risk controls, and reporting. That will make it easier to verify indicator parity, tune parameters safely, and move from backtest to paper trading with confidence. I’d be happy to discuss the Pine modules and outline how I would translate and validate them step by step. Best regards.