Is there any limitation of "get_candles" returning only latest 199 candles & not more

[lokeshgmali3]

Hii dear, im using your github repository to fetch historical candles data for one minute timeframe for BRLUSD_otc asset, using "get_candles" method i found out that its not fetching candles data more than 199, i wanted to fetch 1440 number of candles data, then i assumed that in each request irrespective of "offset" it always returns only 199 candles & then i wanted to page backward to get more candles data but i found out that its just returning the same time candles data & not going backward,

i request you to please analye the code & its output pasted here & explain me if its issue in my code or way of using your repository or its the limitation of your repo that it will return just latest 199 candles data & wont fetch more older data beyond this, below are steps i did:

thanks in advance...

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first i pulled your repo into my pc & then to pull your repo to my pc i did ran below commands in cmd window & it proceeded successfully:

cd C:\Users\hp\Desktop\Quo
git clone https://github.com/cleitonleonel/pyquotex.git
cd pyquotex
python -m pip install --upgrade pip setuptools wheel
python -m pip install -e .
cd C:\Users\hp\Desktop\Quo

means i had repo installed in "C:\Users\hp\Desktop\Quo\pyquotex" & then i created a python file to fetch historical candles data whose location is "C:\Users\hp\Desktop\Quo"

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python file code:

Fetches and prints just the first two pages of candles, raw

import asyncio, time
from pyquotex.stable_api import Quotex

EMAIL = "add_your_quotex_credentials"
PASSWORD = "add_your_quotex_credentials"
LANG = "en"

ASSET = "BRLUSD_otc"
PERIOD = 60 # timeframe of minute converted into seconds
PAGE_WINDOW = PERIOD * 300 # ask for a 300-bar window

async def main():
client = Quotex(email=EMAIL, password=PASSWORD, lang=LANG)
print("Connecting…")
await client.connect()
print("Login successful.\n")

# 1) Batch 1: latest candles
end_ts = time.time()
batch1 = await client.get_candles(
    asset=ASSET,
    end_from_time=end_ts,
    offset=PAGE_WINDOW,
    period=PERIOD
)
print(f"Batch 1: fetched {len(batch1)} raw bars")
for i, c in enumerate(batch1, start=1):
    print(f"  [{i}] {c}")

if not batch1:
    print("No data in batch1, exiting.")
    await client.close()
    return

# 2a) Prepare for Batch 2: page backward just before the oldest of batch1
oldest1 = batch1[0]["time"]
print(f"oldest1 (batch1[0]['time']): {oldest1}")        # ← Debug print
end_ts = oldest1 - 60
print(f"end_ts for batch2 fetch: {end_ts}\n")           # ← Debug print

# 2b) Debug: show what end_from_time, offset, and period we’re about to use
print("About to fetch batch2 with parameters:")
print(f"  end_from_time = {end_ts}")
print(f"  offset        = {PAGE_WINDOW}")
print(f"  period        = {PERIOD}\n")

# 2c) Batch 2: the next page
batch2 = await client.get_candles(
    asset=ASSET,
    end_from_time=end_ts,
    offset=PAGE_WINDOW,
    period=PERIOD
)
print(f"\nBatch 2: fetched {len(batch2)} raw bars")
for i, c in enumerate(batch2, start=1):
    print(f"  [{i}] {c}")

await client.close()
print("\nDone.")

if name == "main":
asyncio.run(main())

############################################################

output on cmd:

C:\Users\hp\Desktop\Quo>p.py
Connecting…
Login successful.

Batch 1: fetched 199 raw bars
[1] {'time': 1752575520, 'open': 0.18106, 'close': 0.18053, 'high': 0.18108, 'low': 0.18044, 'ticks': 68}
[2] {'time': 1752575580, 'open': 0.18053, 'close': 0.18029, 'high': 0.18053, 'low': 0.18017, 'ticks': 73}
[3] {'time': 1752575640, 'open': 0.18029, 'close': 0.1794, 'high': 0.18034, 'low': 0.17929, 'ticks': 87}
...
[197] {'time': 1752587280, 'open': 0.17904, 'close': 0.17883, 'high': 0.17928, 'low': 0.17878, 'ticks': 78}
[198] {'time': 1752587340, 'open': 0.17885, 'close': 0.17859, 'high': 0.17896, 'low': 0.17852, 'ticks': 88}
[199] {'time': 1752587400, 'open': 0.17859, 'close': 0.17879, 'high': 0.17882, 'low': 0.17844, 'ticks': 142}

oldest1 (batch1[0]['time']): 1752575520
end_ts for batch2 fetch: 1752575460

About to fetch batch2 with parameters:
end_from_time = 1752575460
offset = 18000
period = 60

{'BRLUSD_otc': ['BRLUSD_otc', 1752587507.299, 0.17923, 0]}

Batch 2: fetched 199 raw bars
[1] {'time': 1752575520, 'open': 0.18106, 'close': 0.18053, 'high': 0.18108, 'low': 0.18044, 'ticks': 68}
[2] {'time': 1752575580, 'open': 0.18053, 'close': 0.18029, 'high': 0.18053, 'low': 0.18017, 'ticks': 73}
[3] {'time': 1752575640, 'open': 0.18029, 'close': 0.1794, 'high': 0.18034, 'low': 0.17929, 'ticks': 87}
...
[197] {'time': 1752587280, 'open': 0.17904, 'close': 0.17883, 'high': 0.17928, 'low': 0.17878, 'ticks': 78}
[198] {'time': 1752587340, 'open': 0.17885, 'close': 0.17859, 'high': 0.17896, 'low': 0.17852, 'ticks': 88}
[199] {'time': 1752587400, 'open': 0.17859, 'close': 0.17879, 'high': 0.17882, 'low': 0.17844, 'ticks': 142}

Done.

C:\Users\hp\Desktop\Quo>

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[cleitonleonel]

i request you to please analye the code & its output pasted here & explain me if its issue in my code or way of using your repository or its the limitation of your repo that it will return just latest 199 candles data ...

Get_Candles brings the history that the broker allows via websocket, we are limited to only 199 candles, this is what the broker returns.

[cleitonleonel]

Hii dear, im using your github repository to fetch historical candles data for one minute timeframe for BRLUSD_otc asset, using "get_candles" method i found out that its not fetching candles data more than 199, i wanted to fetch 1440 number of candles data

Read #39

[lokeshgmali3]

ohk, got it, does the private version allows to get more candles data?

[brogem01]

?