Brokey For Amibroker ✮ 〈COMPLETE〉

If you are an Indian trader using (formerly BrokeY) for its low brokerage fees and direct market access, you have likely hit one major roadblock: Charting.

In this guide, I will show you exactly how to bridge Broker.Y’s real-time data feed into Amibroker using and third-party DLLs. By the end, you will have institutional-grade charts for less than the cost of a coffee. Why Amibroker + Broker.Y is a Game Changer | Feature | Broker.Y Native | Amibroker | | :--- | :--- | :--- | | Backtesting | Basic | Advanced (Portfolio-level) | | Custom AFL Scripts | No | Unlimited | | Scanning 1000+ Scrips | Slow | Blazing fast (< 1 sec) | | Alerts & Triggers | Limited | Fully customizable | | Cost | Free | One-time $299 (lifetime) | brokey for amibroker

Note: This requires basic Python knowledge but gives you full control. Once data is flowing, use these custom AFL formulas (copy-paste into Amibroker). 1. Broker.Y Custom Spread Indicator Shows the spread between NIFTY and BANKNIFTY. If you are an Indian trader using (formerly

client.subscribe(["NIFTY", "BANKNIFTY"], on_tick) Why Amibroker + Broker

Ultimate Guide: How to Feed Live Data from Broker.Y to Amibroker for Pro-Level Charting

from pybrokey import BrokeyClient import win32com.client client = BrokeyClient(api_key="YOUR_KEY") client.login() Connect to Amibroker DDE ab = win32com.client.Dispatch("Broker.Application") Stream ticks def on_tick(tick): ab.ActiveDocument.InsertQuote(tick.symbol, tick.price, tick.volume)

This post is for educational purposes. Broker.Y does not officially support Amibroker. Always paper trade your setup before going live. Tags: #BrokerY #BrokeY #Amibroker #AFL #AlgoTrading #IndianStockMarket #RTDMan