Python Automation for DhanHQ API

@Milvetti

Hi, we can help you with your DhanHQ intraday options automation. We offer lifetime bug fix guarantee. As Milvetti, we help traders automate their strategies. Price is an estimate and may vary by scope.

@DigitalNightOwl8

Hey Mate , Good morning! I am skilled mobile coder with skills including Risk Management, Trading, API, PHP, Automation, Software Architecture and C++ Programming. Please send a message to discuss more about this project. Appreciate your prompt response

@muneeb6767

I’ve built Python trading automations with live API feeds, order tracking, CSV ledgers, and dynamic SL/target logic—this fits perfectly with DhanHQ intraday options workflows. I can design both engines cleanly with real-time monitoring and solid risk control.

@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

@Algokage

Hello, With 5+ years of Python development experience, I've worked extensively with APIs and trading systems. I can build a robust solution for your DhanHQ automation needs. My approach involves creating two engines: one to track orders and manage positions, and another to monitor live market data for executing sell orders based on your defined rules. I'll ensure clean CSV logging for trade analysis. For samples of similar projects, please send a message. Thanks, Adegoke. M

@bagdenavdeep

I can build a reliable Python automation system for intraday options trading using the DhanHQ API. The solution will include two engines: one to track order updates, compute net open positions, and persist all traded legs into a CSV ledger for full lifecycle analysis; and another to monitor live ticks for the latest open BUY and place sell orders based on configurable stop-loss and target levels. I bring 9+ years of software development experience, strong trading bot expertise, and have built automated systems for Fyers, Upstox, and MStocks. I’m fluent in Python and experienced in API integrations and risk management logic.

@vishala81

Hi, thanks for outlining the engines so clearly. This is a well-structured trading automation problem, and the separation between order tracking and live risk management makes a lot of sense. I can build this in Python using the DhanHQ API, with two cleanly separated components. Engine 1 will listen to order updates, compute the net open position per trade, and persist every traded leg into a structured CSV ledger so you have a full lifecycle record for analysis and debugging. The logic will ensure the CSV always reflects the latest open BUY positions accurately. Engine 2 will consume that CSV, identify the active securityId(s), and subscribe to live market ticks. Based on configurable stop-loss and target levels, it will place sell orders automatically per trade and handle edge cases like partial fills or rapid price moves. The focus will be reliability, low latency, and strict risk control rather than overengineering. I’ve worked on trading alert and execution systems before, including real-time feeds, CSV-based state tracking, and API-driven order management, so I’m comfortable with both the market logic and the engineering side. The code will be clean, well-commented, and easy to extend if you later add trailing SLs or multi-leg logic. Happy to discuss exact SL/target rules and get started quickly.

@Samuelk559

EXPERT ((Software Architecture, Trading, Automation, PHP, C++ Programming, API and Risk Management)) 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

@bkaan99

Hi, I can build a clean and reliable Python automation for DhanHQ API focused on intraday options sell-side risk management. Scope (₹5000 INR – MVP): Engine 1: Track order updates (via DhanHQ API), maintain net open position state, and log trade lifecycle into a structured CSV ledger. Engine 2: Subscribe to live market feed for the latest open BUY securityId and trigger SELL orders based on configurable stop loss / target price. Robust logging, error handling, and reconnect logic. Config-driven parameters (SL/Target, quantity, order type). Assumptions: Single open position at a time (can be extended later). Market feed & order updates endpoints are provided by DhanHQ. Initial delivery can include a dry-run / paper-trade mode if required. Deliverables: Well-structured Python code CSV ledger format Setup & usage documentation Before starting, I would like to confirm: Order updates via websocket or polling? Market feed payload sample Sell order type (market / limit) Looking forward to discussing details.