Python Zerodha EMA Trade Bot

@MQamar123

As an individual who has spent over 7 years honing my software development skills, I have developed a deep understanding of various programming languages that makes me perfect fit for your project. In particular, my experience with languages like Python, Node.js and JavaScript makes me highly suitable for the task at hand. I am comfortable using these languages to develop sophisticated, efficient, and well-documented codes, which will be essential to ensuring smooth and effective functioning of the Zerodha EMA Trade Bot you need. One aspect that sets me apart from other freelancers is my dedication to client satisfaction. I believe in not just delivering projects but ensuring their long-term utility. Hence, I will ensure not only your technology requirements are met but also provide an inclusive README document along with video instructions for project deployment - keeping you equipped to make any necessary updates in the future.

@Rsolitario

I will automate your Zerodha account using a Python-based algorithmic trading script that executes precise orders based on EMA crossovers, thereby eliminating manual intervention and ensuring immediate market responsiveness. I will configure the complete Kite Connect workflow for tick-by-tick data streaming, processing EMA calculations (such as the 9/21 crossover) in real-time using Pandas, and ensuring robust risk management through adjustable position sizing and daily stop-loss controls. The system will log every trade in a local SQLite database and integrate instant alerts via Telegram or Slack to facilitate continuous monitoring of your live trading activity. I possess direct experience implementing Zerodha WebSockets for high-frequency trading strategies, enabling me to guarantee the delivery of a fully documented code repository—along with a demonstration video—within a strict timeframe of 5 business days. I am at your disposal to begin configuring the risk parameters and validating your API Key authentication immediately.

@prabhathk5

Thanks for sharing the details. I’ve reviewed your requirement and would be glad to discuss it further. I’m Prabhath, an experienced MQL4/MQL5, Pine Script, Python, and C++ developer specializing in automated trading systems and institutional-grade algorithmic solutions. I develop Expert Advisors, indicators, dashboards, data tools, and custom trading utilities for MT4/MT5, TradingView, and standalone platforms. Along with MQL5 systems, I also build fully automated trading software in Python and C++ for Indian stock markets and global exchanges (US, EU, and others). These solutions can be tailored for stocks, indices, futures, forex, and crypto based on project needs. As an active trader, I work with ICT, SMT, market structure, liquidity models, order blocks, FVGs, VWAP, and volume-based logic, ensuring each strategy follows the client’s trading methodology. My expertise includes institutional-grade EA and indicator development, ICT/SMT-based trading systems, Pine Script automation, Python and C++ systems for Indian and global markets, backtesting, paper trading and live trade integration, strategy optimization, and low-latency execution. I also fix, optimize, and enhance existing trading systems to make them stable and production-ready. Where permitted, I can share demos or walkthroughs of previously completed projects while respecting client confidentiality. Thank you for your time and consideration.

@UzeeTech

With over 7 years of experience, I'm a seasoned Full-Stack Developer with the competency to bring your vision to life. Being well versed in Python and with my knowledge of Pandas, Zerodha's APIs, and websocket streaming, I consider myself as an ideal fit for your project. I have prior experience in building trading bots and could efficiently integrate the required functionalities including calculating customizable EMA values, executing market or limit orders based on crossovers, positioning sizing per trade to mitigate risk, and logging the action in a local database. Moreover, I'm well equipped to secure authenticate your Zerodha account, stream real-time tick-by-tick data for EMAs calculation, perform risk controls, and generate timely updates via Slack or Telegram – ensuring the smooth functioning of your automated trading system. My proficiency with Git ensures concise and organized code that you can comfortably run from the command line. I understand the value of transparency and communication in a professional relationship. So working on a concrete plan with realistic timelines won't be an issue. Rest assured, should you consider me for this project, I will deliver clean documented code that is easily comprehensible by not only yourself but also any future developer who might take on your project. Let's join forces to craft this intelligent trading bot.

@prashanpatel557

Hello, I can build your Zerodha EMA crossover trading bot with real-time execution, clean architecture, and reliable risk controls. Approach: 1. Data & Signal Engine • WebSocket-based live tick streaming (Kite Connect) • Real-time EMA calculation (configurable, e.g., 9/21) • Accurate crossover detection (no lag/repaint issues) 2. Execution Layer • Instant market/limit order placement • Entry/exit handling on crossover reversal • Position tracking (avoid duplicate trades) 3. Risk Management • Config-based position sizing • Max open trades limit • Day stop-loss / trading disable toggle 4. Logging & Alerts • Trade logs (CSV/SQLite: symbol, price, time, qty) • Telegram/Slack alerts on every execution • Error + event logging Deliverables: 1. Python code (well-commented) 2. Config file (easy parameter control) 3. README + setup steps (API keys, run commands) 4. Demo (sandbox/live) I have hands-on experience with Kite API and intraday automation, ensuring stable execution and correct signal mapping. One question: Do you want single-position per symbol or allow multiple re-entries on repeated EMA crosses?

@Algokage

Hello, I can deliver your Python Zerodha EMA Trade Bot efficiently, ensuring it securely authenticates to your Zerodha account, streams live market data, calculates adjustable EMA values, and executes orders with risk controls. I’ll include logging, Slack/Telegram alerts, and a clean Git repo with setup instructions. With 5+ years of experience in Python, pandas, and Zerodha APIs, I’ll ensure a smooth execution. Send a message to discuss further or 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

@niveditaj1

Hello, I will develop a custom Python script using the official Kite Connect library to automate your EMA crossover strategy. I will implement a secure login flow using your API credentials and a standard 2FA method to start each session. The script will use a popular data processing library to calculate the moving averages in real time from the live tick stream. I will build a modular execution engine that places orders based on your crossover signals and logs every transaction to a local database. The system will include a configuration file where you can easily adjust your EMA periods, position sizes, and risk limits. I will also integrate a messaging API to send instant alerts to Slack or Telegram whenever an order is filled. 1) Do you already have an active Kite Connect API subscription and your API keys ready? 2) Which messaging platform do you prefer for the live audit alerts: Slack or Telegram? 3) Should the script run on a local Windows machine or a Linux-based cloud server? Thanks, Nivedita

@vishala81

Hello, This is a clean, rules-based automation task, and I’ve built Zerodha Kite Connect trading scripts that execute directly from live WebSocket data — including EMA crossover systems for index and equity trading. I’m familiar with the full flow: secure session handling, tick streaming, real-time indicator calculation, instant order placement, and robust logging. I’ll deliver a command-line Python tool that authenticates safely, streams ticks, computes configurable EMAs (e.g., 9/21 but editable via a simple config file), detects crossovers, and executes market or limit orders automatically. Risk controls (position sizing, max concurrent trades, day stop) will be easy to adjust without touching core code. Every action will be logged to CSV/SQLite with timestamps, and alerts will be pushed to Telegram or Slack immediately after fills. I’ve also implemented safeguards for duplicate signals, reconnections, and partial fills so the bot behaves predictably in live conditions. You’ll receive clean, well-commented code in a Git repo, setup instructions for your API keys, and a demo showing a test trade flow end-to-end. I can start immediately and deliver within your 5-day window. Best regards, Vishal