I need a Zerodha + OpenAI + Telegram NIFTY trading alert system.

@consultantcae

Hi, I am Sourabh Jain. I have built a generic fully automated option trading tool. I can provide option selling tool with your customized requirements for Rs 2000 per month as subscription fee. If you are interested, please let me know. Regards Sourabh

@Shrutibimpl

Hello, I will build your automated trading signal bot using Python, integrating directly with the Zerodha Kite WebSocket to stream real-time NIFTY tick data. I will write custom algorithm logic to identify dynamic support and resistance levels, and calculate VWAP, 20 EMA, and 50 EMA indicators on the fly. To ensure only high-quality signals are generated, the script will evaluate volume confirmation and implement a fake breakout detection filter by checking candle close confirmations against the calculated support and resistance boundaries. When a valid setup matching your minimum 1:2 risk-to-reward parameters is verified, the bot will instantly format and dispatch a CALL or PUT alert to your Telegram channel. I will also configure scheduled execution scripts to automate the bot's operation strictly during Indian market hours, from 9:15 AM to 3:30 PM. 1) Do you have active developer credentials and API access enabled on your Zerodha Kite Connect account? 2) What specific mathematical model do you prefer for calculating the dynamic support and resistance levels? 3) Do you want the bot to also execute trades automatically on your Zerodha account, or should it strictly send alerts to Telegram? Thanks, Bharat

@prashanpatel557

Hello, I have experience developing Python-based trading scanners, Zerodha Kite integrations, OpenAI-powered trading assistants, and Telegram alert systems for Indian markets. I can build an automated NIFTY alert system that: • Streams live NIFTY data via Zerodha Kite WebSocket • Detects Support & Resistance levels dynamically • Confirms setups using VWAP, 20 EMA, 50 EMA, and Volume • Filters fake breakouts to improve signal quality • Validates a minimum 1:2 Risk:Reward before generating alerts • Sends only high-confidence CALL/PUT signals to Telegram • Sends a clear “NO TRADE” message when market conditions don’t meet your criteria • Runs automatically from 9:15 AM to 3:30 PM with logging and auto-reconnect The solution will be modular, configurable, and easy to extend with additional filters or AI-based trade scoring in the future. Please share your support/resistance and fake breakout rules so I can implement the alert engine exactly as per your trading methodology. Best Regards, Prashant

@loxtic

Hi, how are you doing? I have considerable experience building real-time data pipelines and trading alerts, including live market feeds, VWAP/EMAs, and risk-reward based alert systems, plus sending signals to Telegram. I’ve worked on setups that run during market hours and can tailor the Zerodha Kite WebSocket feed to detect support/resistance, volume confirmation, and fake breakout patterns while filtering signals and delivering only A-grade CALL/PUT alerts. I can deliver a lightweight, auto-run script from 9:15 to 3:30 with clear “NO TRADE” messages when setups are weak. Let me know further if interested.

@Sahyadri96

From Pune 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 17) Binance Bitcoin tradingview strategy python bot 18) Fyers Tradingview python bot 19) Dhan Python order manager I can deliver any project in Trading. Readymade setups for Python available

@KaleRiddhesh

I checked every detail you require and I can complete this project in 2-3 Days. Zerodha API -> Technical Analysis -> Push A+ signal to Telegram. I have created 10+ telegram alert automations and I am sure in 2 days your telegram channel can go live. You can click that "Chat Now" button to talk and complete this project.

@snath88

"Hi, drop me a message — I'll share a quick NIFTY alert bot prototype based on what I understood. If it matches your expectations, we can move forward. Thanks!"

@neerajkanti2703

Hi , seen your requirements, i am currently trading the same framwork in my own account , based on zerodha kite api, will be happy to work with you. Regards, Neeraj

@richard031596

A NIFTY alert system on Zerodha Kite WebSocket needs reliable real-time data handling, clean indicator logic, and a Telegram bot that fires only when all conditions align — the "NO TRADE" output is as important as the alerts themselves. I'd build this in Python using the Kite Connect WebSocket for live tick data, TA-Lib or pandas-ta for VWAP/EMA calculations, and python-telegram-bot for alert delivery. The fake breakout detection and 1:2 R:R filter are the most logic-intensive parts — they require defining clear rules for volume confirmation and breakout validation before integrating OpenAI, which would then classify signal quality as A-grade or weak based on the combined technical picture. At Marin Software I worked with LangChain and OpenAI API integrations, and Python automation pipelines are core to my background at Poundit. Do you have an active Zerodha Kite Connect API subscription, and should the OpenAI call be for signal classification only, or also for generating the alert message text?

@souvikbasu

I can build this — Python + Zerodha Kite WebSocket + Telegram is a stack I've worked with. Here's my implementation plan: **Data & Indicators (using kiteconnect + pandas-ta):** - Kite WebSocket for live NIFTY tick streaming - VWAP, 20 EMA, 50 EMA calculated in real-time on rolling candles - Support/resistance levels from recent pivot highs/lows - Volume confirmation: current bar volume vs. N-period average **Signal Logic:** - Breakout detected → check volume, EMA alignment, VWAP position - Fake breakout filter: price action rejection candle + volume divergence check - Risk:Reward calculated on-the-fly (min 1:2 enforced before alert fires) - "NO TRADE" message sent when any condition fails **Telegram Alerts:** - A-grade CALL/PUT alerts with entry, SL, target levels - Clean formatted messages via python-telegram-bot - Auto-start 9:15 AM, auto-stop 3:30 PM via schedule/cron **Delivery:** Python script + config file (API keys, Telegram bot token, thresholds) + README. Do you already have a Kite API key active, or should I factor in the setup steps?

@mussaibb7

I'll build a robust Zerodha + OpenAI + Telegram NIFTY trading alert system with a Python backend using FastAPI for clean integrations and deployment reliability. My primary focus will be on creating a backend flow that stays error-free and maintainable under real API, deployment, and error-handling conditions. With my experience in deploying multi-client ML inference APIs, I'm well-equipped to handle the complexities of this job. Specifically, my Multi-Client ML Inference API has achieved sub-200ms latency and production-grade cloud delivery. I've also built Jarvis AI, which orchestrates 30+ automated workflows across scraping, system actions, and API-driven automation. My execution plan will involve designing a clean backend code structure, environment setup instructions, and error handling mechanisms. I'll work closely with you to clarify the deployment target, API boundaries, and whether this is a greenfield or existing service. To ensure a smooth project flow, I'll need to define the API contracts and environment structure first.

@manishcomp123

**Subject:** Custom NIFTY Trading Alert System for Zerodha + OpenAI + Telegram Hi [Client], I’ll build a Python-based system that fetches live NIFTY data from Zerodha’s WebSocket, analyzes support/resistance, VWAP, and 20/50 EMA levels, and filters trades with volume confirmation. The system will detect fake breakouts, enforce a minimum 1:2 risk-reward ratio, and send only high-confidence CALL/PUT alerts to Telegram—with “NO TRADE” messages when conditions are weak. It’ll run automatically from 9:15 AM to 3:30 PM, hosted via GitHub for easy updates. I’ve built similar automated trading tools with Python, Telegram API, and REST integration. Let me tailor this to your exact needs. Best regards, Manish S. **Question:** Do you have a preferred hosting environment (e.g., AWS, Heroku) for the system?

@mundadiya

Hi, I hope you're having a great day. I have hands-on experience building live trading tools that read Zerodha Kite WebSocket and emit Telegram alerts. I recently shipped a system that consumed Kite tick streams, resampled to 1‑minute with pandas, computed VWAP and 20/50 EMA, and filtered false breakouts by volume surge thresholds (solved noisy tick aggregation). I'd start by wiring Kite WS, resample with pandas, compute indicators (TA-Lib or numpy), and run a small state machine for R:R checks, then push alerts via Telegram Bot API and keep code on GitHub. Could we hop on a short call to confirm the data granularity (tick vs 1‑min) and your breakout rule for "fake" moves? Thank you, Alpeshbhai M.

@abdurr531

Your strategy is clear, and I can build it exactly as specified—a real-time Python trading bot powered by Zerodha Kite WebSocket that filters market noise using Support/Resistance, VWAP, 20 EMA, 50 EMA, Volume Confirmation, and Fake Breakout detection, executes only A-grade setups with a minimum 1:2 Risk:Reward, sends CALL/PUT or **NO TRADE** alerts instantly to Telegram during market hours, and delivers clean, modular, production-ready code that's easy to maintain and enhance.

@prachia77

Hello, I can develop a fully automated Python-based NIFTY options signal system that integrates with the Zerodha Kite WebSocket and sends only high-probability CALL/PUT alerts directly to Telegram. What I'll deliver: ✔ Live NIFTY data streaming using Zerodha Kite WebSocket ✔ Real-time Support & Resistance detection ✔ VWAP, 20 EMA & 50 EMA analysis ✔ Volume confirmation before signal generation ✔ Fake breakout filtering to reduce false entries ✔ Minimum 1:2 Risk:Reward validation ✔ Only A-grade CALL/PUT alerts sent to Telegram ✔ Automatic "NO TRADE" notifications when market conditions are weak ✔ Fully automated execution from **9:15 AM to 3:30 PM** ✔ Clean, well-structured Python code with documentation for easy maintenance I have experience developing Python automation solutions, REST API integrations, WebSocket-based real-time applications, and Telegram bot integrations. The system will be optimized for speed, stability, and low latency to ensure timely alerts. I would be happy to discuss your exact entry/exit logic, support-resistance methodology, and fake breakout criteria before starting. Looking forward to working with you. Best Regards, Prachi Agrawal

@CliveMSoftware

I'll build your complete Zerodha Kite WebSocket trading system with real-time NIFTY analysis. The bot will stream live candlestick data, calculate VWAP, 20 EMA, and 50 EMA dynamically, detect support/resistance zones using pivot logic, confirm volume patterns, and identify fake breakouts using price action rules. I'll implement strict 1:2 risk-reward filtering so only A-grade setups pass through, with 'NO TRADE' alerts when conditions are weak. All signals route to Telegram instantly with entry, stop-loss, and target prices. The scheduler runs automatically 9:15 AM to 3:30 PM IST with error handling and reconnection logic. Code goes to GitHub with full documentation so you can modify thresholds anytime.

@hugog17

⭐ Hi there ! Let's set meeting schedule for ur project more detail . A clean NIFTY alert system should act like a strict scanner not like a random signal spammer For this type of setup I usually split the logic into data feed indicator engine setup scorer and Telegram sender Zerodha Kite WebSocket can stream live ticks Python can calculate VWAP 20 EMA 50 EMA volume spike breakout retest fake breakout and Risk Reward 1 to 2 Then OpenAI can be used only for readable alert text and trade reason summary That keeps the signal logic deterministic and safer Telegram will receive CALL PUT or NO TRADE with entry sl target reason and score GitHub repo can include config json env sample and run guide Do you already have Zerodha Kite API key and Telegram bot token ready Timeline : 5 days Total Budget : 9000 INR

@infovergetech

Hello There, This Sandeep from InfovergeTech. Our company has 17+ years experience in IT service development. We have experience in Stock Exchange Trading bot development and connecting it to Telegram. Couple of quick question: - For support and resistance, do you already have a preferred method (previous day's high/low, swing highs/lows, pivot points, etcetra)? - When all conditions are met, should the Telegram alert include the complete trade plan—entry price, stop loss, target (minimum 1:2 risk-reward), and the reason for the signal (VWAP, EMA, volume, breakout confirmation)? You might see our profile is new, but not new in this business. Kindly open the chatroom, we even provide you some free additional attachment to your bot. Also release the payment once we are finish the task as you prefer. Give us a opportunity and we won't fail you. Thanks, Sandeep K.

@AcuteTech06

Hello, We have strong experience with Python, Zerodha Kite Connect API, OpenAI, Telegram Bot API, NIFTY options strategies, WebSockets, and trading automation. We can build a reliable, scalable solution with real-time market data, AI-powered analysis, Telegram alerts, proper risk management, and clean, maintainable code. We're available to start immediately and would love to discuss your strategy and project requirements. Regards, Acute Tech Solutions