Most traders who ask us this question already have a working Excel sheet they trust. That is a real asset and it changes the answer, so this is not a straight "Python is better" article.
The comparison, honestly
| Feature | Python | Excel VBA |
|---|---|---|
| Learning curve | Medium — one to two months | Easy — two to three weeks if you know Excel |
| Speed | Fast, including on large datasets | Slows noticeably on large data |
| Broker APIs | Every major one — Kite, SmartAPI, Upstox | Possible through REST calls, but patchy |
| Scale | Production-grade | Single user, single machine |
| Live data | WebSocket streaming | Polling only, with lag |
| Cost | Free | Needs an Office licence, around ₹6,000 a year |
| Hosting | Runs on a VPS around the clock | The PC has to stay awake and open |
When VBA is genuinely the right call
People dismiss this too quickly. VBA makes sense when:
- You trade manually and only want to remove the repetitive part — order entry triggered from a sheet.
- Your watchlist and profit-and-loss tracking already live in Excel and work.
- The logic is simple — a moving average, a couple of indicators.
- You place five to ten trades a day, not five hundred.
- You do not want to learn programming as a separate project.
If that describes you, a well-built VBA sheet can be running this week. Python would take a month and give you nothing extra for that workload.
When Python is the only sensible answer
- Complex or fast strategies where a few seconds of polling lag changes the fill.
- Many symbols watched at once.
- Backtesting across years of historical data.
- Decisions driven by live tick data rather than a refreshed cell.
- Execution that must keep running whether or not your laptop is on.
- Anything involving machine learning models.
The hosting line is the one that decides it for most people. A strategy that needs to run at 9:15 sharp every day should not depend on a Windows update finishing overnight.
The same rule in both languages
Take a simple rule: buy fifty shares if the five-minute close is above the twenty-period EMA, with a stop at 0.3 percent.
Python, using Kite Connect
import pandas as pd
from kiteconnect import KiteConnect
import time
kite = KiteConnect(api_key="key")
kite.set_access_token("token")
while True:
candles = kite.historical_data(738561, ..., interval="5minute")
df = pd.DataFrame(candles)
df['ema20'] = df['close'].ewm(span=20).mean()
if df.iloc[-1]['close'] > df.iloc[-1]['ema20']:
kite.place_order(...)
time.sleep(60)VBA in Excel
Sub CheckAndTrade()
Dim ltp As Double
ltp = GetLTP("RELIANCE") ' custom REST call
Dim ema As Double
ema = Range("EMA20").Value
If ltp > ema Then
Call PlaceOrder("RELIANCE", "BUY", 50)
End If
End SubBoth are short, and that is the point — for a simple rule, the language barely matters. What differs is everything around it: what happens when the API times out, when the order is rejected, when the machine restarts.
The hybrid most people end up with
Plenty of traders we work with settle on both. Python does the heavy lifting — connects to the broker, streams data, generates signals, runs on a VPS. Excel stays as the dashboard, because that is where they are comfortable reading numbers.
A small API layer pushes data from the Python side into the sheet. You keep the reliability of a server-side process and the familiarity of the spreadsheet, which is a better outcome than forcing yourself to abandon either.
A practical recommendation
Technical guidance only — not trading or investment advice.
- Light automation, no interest in coding: VBA. Fastest path to something useful.
- You intend to keep building on it: Python. The month you spend learning pays back the first time you need to scale.
- Fully automated, running unattended: Python on a VPS. There is no VBA version of this that works reliably.
If you want an Excel sheet wired to a broker API properly, or a Python system with an Excel front end, that is work we do.
FAQs
Can Excel update live market data automatically?
Yes, using a VBA timer with REST API calls. There will be noticeable lag compared with a Python WebSocket feed, which matters for fast strategies and not at all for slow ones.
Does the Zerodha API work directly in VBA?
Not directly. You have to write the REST calls yourself, and there is no WebSocket support, so you are limited to polling. It works, but it is more effort than the Python library and less capable.
Can I start with VBA and move to Python later?
Yes, and many people do. The strategy logic transfers cleanly — what you rewrite is the plumbing. Starting in Excel is a reasonable way to find out whether the rule is worth automating at all.
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