Hitting rate limit while fetching historical data for multiple stocks

Question

AlgoDelta Team

I’m building an supertrend algo where I need to fetch historical data for multiple stocks at startup.

Right now I’m looping over all symbols and calling the historical API, but after a few calls I start getting rate limit errors from the broker.

Because of this, some stocks don’t load properly and my indicators break.

What’s the correct way to handle this when working with multiple symbols?

Posted Apr 24

Reply

Answer 1 · 2026-04-24T22:39:00+05:30

Tech Support AlgoDelta Automation Expert · Apr 24

Yes, the rate limit varies from broker to broker (e.g.: Zeroth 3req/sec)

This happens in almost every broker if we hit the API in the loop continuously.

To solve this problem, you have to put the delay, if possible, of approx. 0.30 sec,

also, we can do the batch fetching – hit the API in batch

Below sample code you can refer:

import time

def fetch_all_data(symbols, fetch_func):
    data = {}

    for i, symbol in enumerate(symbols):
        try:
            data[symbol] = fetch_func(symbol)
            print(f"Fetched: {symbol}")

            # small delay to avoid rate limit
            time.sleep(0.5)

        except Exception as error:
            print(f"Failed: {symbol} -> {error}")

    return data

# Sample
def mock_fetch(symbol):
    return f"data_for_{symbol}"

symbols = ["AAPL", "MSFT", "GOOG", "TSLA"]

result = fetch_all_data(symbols, mock_fetch)

print(result)

Verified Solution

Ohk got it, thanks for the answer and code this solve my issue. – Sejpalsinh Jadeja Team Jun 17

Hitting rate limit while fetching historical data for multiple stocks

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