Angel API Momentum Backtest Code

@amitpandeyposin

Hello there we are a expert in Angel API. I have already integrated this Api for our clients. I have read your project requirement carefully. we are a more than 15 years experience in web development. I am 100% sure. we can do your Api -development project as per your requirements. Please come on chat to discuss the details.

@mrresearcher99

Hi there, I’ve reviewed your PHP project requirements and would be glad to help. With 5+ years of experience in PHP and backend development, I specialize in creating secure, scalable, and high-performing web applications using modern frameworks like Laravel and CodeIgniter. I’ll begin with a clear development plan, share regular progress updates, and ensure the final product is well-tested and optimized for performance and security. Let’s connect to discuss your project goals — I’m ready to get started! Best, Bhargav PHP Developer | Laravel & Backend Expert

@NaveenSingh09

Hello, I understand you need a clean, vectorised back‑testing script that pulls historic equity data via Angel One's API, allows configurable momentum parameters, outputs performance metrics and charts, and can be modularly integrated into your live system. My approach is: 1) Create a config module with look‑back, ranking, rebalance and sizing options. 2) Build a data‑loader that reads API keys from .env and fetches OHLC data for the requested symbols. 3) Implement the momentum logic using pandas and numpy, generating signals and positions. 4) Back‑test in a single pass, calculate P&L, drawdown, Sharpe and trade counts, and store results in a tidy DataFrame. 5) Generate matplotlib/seaborn visualisations and a README with setup instructions and parameter tweaks. I have 4+ years of Python backend development, experience with REST APIs, and have written modular trading utilities before. I can deliver the script within the agreed timeframe and budget. Let’s discuss next steps. Best Regards Naveen Thakur

@chiragardeshna

Hi there, I am a strong fit because I have built modular Python backtesting engines and API-driven trading tools with clean separation between data ingestion and strategy logic. I can implement a vectorized momentum backtest that pulls historical data through Angel One SmartAPI, reads credentials securely from a `.env` file, and exposes all strategy parameters in a single config section. The system will compute P&L, drawdown, Sharpe ratio, trade statistics, and generate structured DataFrames with matplotlib or seaborn visualizations, while keeping the data loader and strategy core loosely coupled for reuse in live trading. I reduce risk by validating data integrity first, benchmarking results against your supplied reference calculation, and writing clear, PEP 8–compliant modules with defensive error handling. The project will include a concise README covering setup, dependencies, and parameter adjustments for rapid experimentation. I am ready to begin immediately and can deliver a clean, reproducible backtest framework within a short timeline once I review your current API usage pattern. Regards Chirag

@shibbuquadir

As a team of elite freelance developers at Paper Perfect, our wealth of knowledge in Python and API development makes us an ideal fit for your project. We have a proven track record of building clean, efficient, and well-documented code - an indispensable feature when it comes to algo-trading where even minor errors can lead to significant financial repercussions. Our adeptness in programmatic trading is further bolstered by our understanding of various APIs including the Angel One smart-API you'll be working with. We will ensure the code not only adheres to all your acceptance criteria but is also modular enough for easy integration into your live trading script. Moreover, we propose employing a dynamic approach to your project by making sure adjustable parameters such as look-back window, ranking criteria, rebalance frequency, and position sizing can be tweaked effortlessly from a single config section - giving you full control over your strategy. In conclusion, choosing Paper Perfect means opting for exceptional work delivered on time (in Python 3.11) with no compromises on quality and security. We are more than capable of matching the results generated through a simple benchmark calculation that you'll provide - combining accuracy and precision in your back-testing experience. Rest assured, we'll also create a well-explained README file for easy setup and experimentation with the different parameters

@Mayanks010

Hi there, You’re absolutely in the RIGHT PLACE. I’ve delivered SIMILAR PROJECTS multiple times and know EXACTLY how to execute this efficiently and correctly from day one. To lock down the SCOPE, TIMELINE, AND PRICING, I’ll need to ask you a few key questions. Unfortunately, Freelancer’s 1500 CHARACTER LIMIT doesn’t allow me to break everything down properly here. Let’s jump on CHAT so I can show you my PROVEN PAST WORK, walk you through the REAL RESULTS I’ve delivered, and outline a CLEAR ACTION PLAN for your project. You’ll immediately see why my approach is DIFFERENT and EFFECTIVE. If you’re serious about getting this done RIGHT, I’m ready to move forward. Looking forward to CONNECTING and WINNING TOGETHER. Cheers, Mayank Sahu

@shahnaitik

Hello there, I carefully review your project details with 10+ years of extensive experience in the Stock broking and Trading Industry. I have hands-on experience with algorithmic trading, backtesting engines, broker API integrations (including Jainam Broking Ltd), and writing clean, modular Python code designed for both research and live deployment. Your requirement for a momentum-based backtesting engine using the Angel One Smart API aligns perfectly with my expertise in developing scalable and vectorised trading frameworks. You can check my profile: https://www.freelancer.com/u/shahnaitik If you’re looking for technically strong execution rather than just low pricing, I’m confident I can deliver exactly what you need. Let’s schedule a quick call to review your benchmark logic and current SmartAPI structure — I’m ready to start immediately and can deliver an initial working version very quickly. Regards, Naitik S.

@bagdenavdeep

I have 2+ years of hands-on experience building trading bots using Angel One SmartAPI and other Indian broker APIs, along with 10 years of full SDLC experience. I can deliver a clean, modular, well-commented Python 3.11 backtesting framework tailored to your live Angel endpoints. The script will include a centralized config section for momentum parameters, fully vectorised backtest logic (P&L, drawdown, Sharpe, trade metrics), and structured DataFrame outputs with matplotlib/seaborn charts. API keys will be securely loaded from .env. Code will be production-ready, benchmark-matched, and easy to plug into live trading. Fixed price: ₹15,000 (negotiable). README included.

@murtuza90

With your Angel API momentum backtest project, you need a code-writing expert who diligently understands not just programming languages but also the intricacies of coding for trading algorithms with maximal efficiency. With ??+yrs hands-on experience under my belt, I am Murtuza, a professional who not only delivers but transforms ideas into scalable and high-performance applications that drive return on investments. My time-proven record of managing dev teams has maintained a 100% job success rate over these years. In terms of technology skill set, I'm an equipped specialist, particularly in ?Python (Django/FastAPI); with a solid grasp on ?️database structures, including MySQL & PostgreSQL, which will be useful when pulling the historical equity data using your existing API's. My hands-on experience with various frameworks, including Laravel, Angular, and Express, makes me capable of easily setting up or working with different tech stacks. The safety net has developed fully operational financial systems before; I understand the importance of keeping keys and secrets secure and could easily implement reading from your .env file for the Angel API, devoid of any hard-coding. A well-commented and maintainable codebase would be delivered, allowing easy adjustment of parameters you may wish to experiment with. Accuracy, modularity, and clean documentation are my core mantras in delivering any projects – all these you may consider while making your choice.

@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

@Hemantt841

You’re looking to build a clean, well-commented Python script for back-testing a momentum-based trading strategy on Indian stocks using Angel One’s smart-API, with adjustable parameters and modular design. I understand you need vectorized performance metrics like P&L, drawdown, and Sharpe ratio outputted to DataFrames and visualized with matplotlib or seaborn, plus secure handling of API keys via .env files. With over 15 years of experience and more than 200 projects completed, I specialize in full stack development and API integration, particularly with Python for data analysis and financial applications. My background includes building modular, maintainable trading algorithms and working extensively with Pandas, NumPy, and RESTful APIs to deliver reliable, scalable solutions. I will create a modular Python script that pulls historical data through your existing Angel API endpoints, allows momentum parameters to be adjusted from a single configuration block, and runs a fast, vectorized back-test generating all required metrics and charts. The code will be compatible with Python 3.11, thoroughly commented, and accompanied by a clear README for setup and experimentation. I expect to deliver a working version within a few days for your review. Feel free to share any additional details or benchmarks so we can align on the best approach.

@Ashoksahu001

Having successfully navigated the digital landscape for over 12 years, I’m well-versed in developing efficient and effective software solutions. My expertise in Python, along with my thorough understanding of data management, makes me an ideal candidate for your Angel API Momentum Backtest Code project. I am passionate about delivering clean, well-commented code that reliably fetches and analyzes historical equity data. thanks :)

@neerajkanti2703

Hi, I can build a clean, modular momentum backtesting framework using Angel One SmartAPI with secure .env credential handling. The script will pull historical data via SmartAPI, allow configurable momentum parameters (lookback, ranking, rebalance, sizing), run a fast vectorized backtest, and generate P&L, drawdown, Sharpe, trade metrics, plus clear matplotlib/seaborn charts. The code will be production-ready, Python 3.11 compatible, and structured so you can easily plug the strategy into your live trading system later. A clear README with setup and parameter instructions will be included. Ready to start immediately. Best regards, Neeraj

@Chrism276

EXPERT ((API Development, PHP, NumPy, JavaScript, Software Architecture, Pandas, Data Analysis and Python)) DEAR EMPLOYER, I’ve completed the exact same projects before successfully. Awarding me will be the fastest way to complete your task with the best rates possible. I CAN ASSURE YOU 100% THAT WE ARE FULLY CAPABLE OF EXECUTING ANY LEVEL OF TASK/PROJECT BASED ON THE SKILL REQUIRED. I am fully confident about our skills and my understanding of the project description and we are ready to go through any test or sample task you assign to acquire your trust. Let me know when are you available for an initial 15-30-minute discussion (FREE OF CHARGE) so we can discuss the requirement in detail and I can walk you through the mentioned systems to acquire your trust in my skill. REST ASSURED YOUR WORK IS IN VERY SAFE AND PROFESSIONAL HANDS. THANK YOU

@uffea

You’re already trading live through Angel One, so this needs to mirror your production data flow—not be a toy backtester. I’ve built vectorised backtesting engines in Python (3.10/3.11) using pandas/NumPy for momentum and cross-sectional ranking strategies. The key is keeping everything fully vectorised—no row loops—so performance stays fast even with multi-year NSE universes. I’d structure this in clean modules: data_loader (Angel endpoints), strategy (parameterised momentum logic), portfolio (position sizing + rebalancing), and analytics (P&L, drawdown, Sharpe, trade stats). All parameters will live in a single config section. API credentials will load securely via python-dotenv. One thing I’ll validate carefully is alignment between rebalance frequency and available candle granularity—this often skews benchmark comparisons. You’ll get a one-command runner and a concise README with setup + experiment guidance. Let’s review your benchmark logic and data format before I start.

@niralp4

Hello !! I can build a modular, well-documented Python 3.11 backtesting script for your momentum strategy using the Angel One Smart API. The structure will keep data loading, signal generation, portfolio logic, and performance analytics clearly separated — so you can later plug the core engine into your live trading setup. The script will: ▸ Pull historical equity data via the same Smart API endpoints you use live ▸ Allow all momentum parameters (look-back, ranking, rebalance frequency, sizing) from a single config section ▸ Run a fast vectorised backtest ▸ Output P&L, drawdown, Sharpe, and trade stats in a clean DataFrame ▸ Generate clear matplotlib/seaborn charts ▸ Read API credentials securely from a .env file You’ll get clean code, a short README, and a one-command execution flow that matches your benchmark validation. Ready to start immediately. Best Regards, Niral Patel

@CHANDAN1727

I have worked on python scripting and APIs of Fyers, delta exchange and groww so i think i can deliver this to you at best

@officealgodotcom

I’ve built a similar platform before, known as Office Algo. You can take a look at it to evaluate the features and structure. If you find it suitable, we can develop a customized version designed around your specific requirements.

@razelr

hi,i have already created trading platforms using fyers, binance , nifty futures and options and shoonya trading app looking at your requirements i can help you with your project dm me