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.
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)
By combining them, you get with Amibroker’s analysis engine . Method 1: The RTDMan Approach (Recommended for Intraday) RTDMan (Real-Time Data Manager) is a free utility that acts as the middleman between Broker.Y’s Excel RTD feeds and Amibroker. brokey for amibroker
April 18, 2026 | Reading Time: 6 minutes
VolAvg = MA(V, 20); Spike = V > (VolAvg * 2.5); Filter = Spike; AddColumn(V, "Volume", 1.0); AddColumn(VolAvg, "Avg Vol", 1.0); | Problem | Likely Cause | Fix | | :--- | :--- | :--- | | No data in Amibroker | RTDMan not running as Admin | Right-click → Run as Administrator | | Data is delayed | Broker.Y RTD feed lag | Reduce number of scrips to < 50 | | Historical gaps | Amibroker database wrong | Set Database → Base Time Interval to 1 minute | | AFL scanner crashes | Too many symbols | Increase "Maximum number of quotations" in Preferences | Final Verdict: Is This Setup Worth It? Yes. Despite the initial 30-minute setup time, the combination of Broker.Y’s cost-effective execution and Amibroker’s analytical power is unbeatable. If you are an Indian trader using (formerly
While Broker.Y’s native interface is functional for order execution, its charting tools lag far behind what serious technical analysts need. Enter – the gold standard for backtesting, custom indicators, and speed.
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 April 18, 2026 | Reading Time: 6 minutes
Nifty = Foreign("NIFTY", "C"); BankNifty = Foreign("BANKNIFTY", "C"); Spread = (BankNifty - Nifty) / Nifty * 100; Plot(Spread, "Spread %", colorYellow, styleLine); PP = (H + L + C) / 3; R1 = 2*PP - L; S1 = 2*PP - H; Plot(PP, "Pivot", colorWhite, 1); Plot(R1, "R1", colorGreen, 1); Plot(S1, "S1", colorRed, 1); 3. Broker.Y Volume Spike Scanner Scan for sudden volume spikes across all watchlist scrips.
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.
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) |
Ultimate Guide: How to Feed Live Data from Broker.Y to Amibroker for Pro-Level Charting