Python Developer for Modular Stock Buy & Sell Strategy (Chartink → AlgoTest)

@citijayamala

1. I am an expert in Python, Machine Learning, Data Analysis, R programming, R markdown as well. I have done many projects in Data mining and Machine learning projects. I have handled many data analysis part using R, Python based on the project requirement. I provide codes, writing reports as well. 2. Have done many projects. I read your project and sure I can handle your project. 3. Your project will be delivered on time with high standard 4. Assistance will be provided with number of clarifications until client satisfaction 5. I will provide assistance even after the payment. And will maintain data (content) security.

@Ussama91

I will develop a modular trading system with independent BUY and SELL strategies, using Python and libraries like Pandas and NumPy, with a focus on Indian stocks from NSE, and deliver separate Python files for buy and sell strategies, along with documentation and setup guide, within the proposed budget and adapting to the required technical specifications. Waiting for your response in chat! Best Regards.

@Algokage

Hello, With 5+ years of Python development experience, I specialize in building modular trading systems. I’ll create independent BUY and SELL strategies using Chartink data, structured for AlgoTest, focusing on NSE stocks and intraday logic. My approach ensures clean, modular code with Pandas, NumPy, and TA indicators like VWAP and EMA. I’ll deliver separate scripts for buy/sell strategies, Chartink fetching, and clear documentation. Setup and testing on your live AlgoTest account will be seamless. Let me know if you’d like to see samples of similar projects. Thanks, Adegoke M.

@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

@thiagominerva

I can build this as a clean, fully modular Python trading system with independent BUY and SELL engines, Chartink-based scanning, and AlgoTest-ready rule formatting. I’ll structure each strategy in separate files, keep all conditions editable, and ensure the output matches AlgoTest’s backtest and live requirements. I have experience with intraday logic, VWAP-based strategies, and modular Pandas workflows. I can assist with setup and validation on your AlgoTest account to ensure everything works as expected.

@sangeetha83m

Having spent years developing full-stack applications, with a major focus on Python/Django, I believe I possess the necessary skill set for your project. My proficiency in using Python libraries like Pandas and NumPy, along with my understanding of Python's modular coding structure, positions me well for building your desired trading system. Furthermore, I have experience working with TA indicators (including VWAP, EMA, and volume) that your project requires. In addition to my technical skills, my experience in intraday trading logic makes me deeply familiar with the complexities of stock trading. I understand the significance of precise entry/exit points and how critical reliable buy-sell signals are. With this knowledge, I assure you that I'll create robust strategies sensitive to factors like price action and breakout patterns using Backtest-ready rule structures as requested. Completing successful projects isn't just about delivering code; it's about establishing trust and maintaining ongoing support. As a highly responsible and dedicated professional, I'm committed to keeping open lines of communication throughout the project while adhering to an efficient delivery timeline. Let’s discuss more how we can integrate this system seamlessly on your live AlgoTest account.

@guptagagan824

I am a keen and passionate technologist on a mission to empower businesses by unlocking insights from data using cutting-edge AI/ML methodologies. With a rich blend of engineering, research, and product experience, I thrive at the intersection of innovation and impact—transforming raw data into meaningful strategies that drive growth. Core Expertise: - Languages & Frameworks | Python (data science, data engineering, web development, Generative AI) - Machine Learning | Supervised, Unsupervised & Semi-Supervised learning - Deep Learning Architectures | CNN, RNN, LSTM, ANN - Computer Vision | Object Detection, Image Segmentation, Preprocessing, Activity Recognition - Natural Language Processing (NLP) | Tokenization, Tf-IDF, Count Vectorizer, Word2Vec, Transformers - Generative AI + Agentic AI | Large Language Models (Text & MultiModal), RAG (Vanilla & Advanced), A2A, MCP - Time Series Forecasting | ARIMA, SARIMA, LNN - Big Data & Engineering | PySpark, Hadoop - Data/Text Preprocessing | Stemming, Lemmatization, Feature Engineering/Selection, Data Wrangling - Visualization & BI Tools | Matplotlib, Seaborn, Plotly, MS Power BI - Cloud Ecosystems | Microsoft Azure, Google Cloud Platform - Databases | SQL, NoSQL Let’s connect and collaborate to build intelligent solutions that make a difference!

@ashutoshs2405

I can build a clean, fully modular Python trading system exactly as you’ve outlined, with BUY and SELL strategies completely independent yet driven by a common Chartink stock universe. I’ll design the architecture so each module (scanner, buy engine, sell engine, AlgoTest formatter) can run, test, and evolve independently without breaking the others. The Chartink fetch module will auto-refresh at configurable intervals and filter NSE stocks (Nifty 200 + FnO). BUY and SELL engines will be rule-driven, intraday-focused (1-min / 10-min), and written using Pandas, NumPy, and TA logic (VWAP, EMA, volume, breakouts/breakdowns). Entry, SL, and target logic will be parameterized so you can tweak conditions without touching core code. Signals will be converted into AlgoTest-ready rule formats, ensuring smooth backtesting and live deployment. I’ve worked with intraday strategy structuring and understand the importance of precise candle logic, time filters, and clean signal separation (BUY-only vs SELL-only). You’ll receive well-structured Python files, clear documentation, editable conditions, and a setup guide. I’m comfortable validating everything end-to-end on your AlgoTest account so you release payment only after successful testing and confirmation.

@Shashankkk5

Hi, I have direct experience building algorithmic trading systems for Indian markets (NSE/Nifty). At Inviz AI, I built data pipelines processing millions of records and real-time decision systems. For your project, I'll deliver: ✔ Module 1: Chartink scanner with auto-refresh ✔ Module 2: BUY engine (VWAP, breakouts, %-calculations) ✔ Module 3: SELL engine (VWAP breakdown, volume analysis) ✔ Module 4: AlgoTest-compatible output format Tech stack: Python, Pandas, NumPy, TA-Lib for indicators. Clean modular code with documentation. I understand AlgoTest's rule structure and can ensure the output formats correctly for backtesting. Happy to discuss your specific strategy rules before starting. Can deliver in 5-7 days with testing support. Best, Shashank