lse-data 0.11.0

Python client for London Strategic Edge market data: live streaming and historical download

lse-data

A Python client for London Strategic Edge market data. Stream live prices and download history with the same key.

pip install lse-data

from lse import LSE

client = LSE(api_key="your_key")
for tick in client.stream(["BTC/USD", "AAPL"]):
    print(tick.symbol, tick.price)

It covers stocks, forex, crypto, commodities, indices and ETFs, a little over 4,000 instruments. Live ticks come over a websocket and history comes over plain HTTP, both on one key. Get a key at londonstrategicedge.com/websockets.

How it compares

	lse-data	yfinance	Alpha Vantage	Finnhub
Live websocket	yes	no	no	yes
Historical candles	yes	yes	yes	yes
Asset classes	stocks, FX, crypto, commodities, indices, ETFs	equities focus	stocks, FX, crypto	stocks, FX, crypto
Official API	yes	no, scrapes Yahoo	yes	yes
Cost	free	free	free + paid	free + paid

One key, no tiers. It allows 100 calls a minute and 50 GB of data a month, shared between streaming and download.

Download history

The same key pulls history over REST. Candles for any instrument, plus the economic calendar, insider trades, dividends and splits.

from lse import LSE

client = LSE(api_key="your_key")

# OHLCV candles. timeframe: 1m, 5m, 15m, 1h, 4h, 1d
candles  = client.candles("BTC/USD", "1d", start="2026-01-01")
intraday = client.candles("AAPL", "1h", limit=200, order="desc")

# Reference and event feeds
events   = client.economic_calendar(region="US", start="2026-04-01")
insiders = client.insider_trades("AAPL", type="P-Purchase")
divs     = client.dividends("AAPL")
splits   = client.splits("NVDA")

# Anything else, with raw filters
rows = client.get("z_insider_trades", symbol="eq.NVDA", limit="50")

Each call returns a list of dicts. A call that fails raises LSEError:

from lse import LSEError

try:
    client.candles("BTC/USD", "1m")
except LSEError as e:
    print(e.status, e.message)

A call returns at most 5,000 rows. Page through more with start and end.

Find instruments

catalog() lists everything you can stream or download. It needs no key and no connection.

client.catalog()              # every instrument
client.catalog("crypto")      # [{"symbol": "BTC/USD", "name": "Bitcoin", "category": "Crypto"}, ...]
[x["symbol"] for x in client.catalog("forex")]

Categories are stock, forex, crypto, etf, commodity and index. Use a symbol straight in stream or candles.

Stream live data

from lse import LSE

client = LSE(api_key="your_key")
for tick in client.stream(["BTC/USD", "ETH/USD", "AAPL"]):
    print(tick.symbol, tick.price)

Use callbacks instead of a loop:

client = LSE(api_key="your_key")
client.on("tick", lambda t: print(t.symbol, t.price))
client.connect(["BTC/USD"])

Events are tick, connected, authenticated, disconnected and error.

Change subscriptions while connected:

client.subscribe(["SOL/USD"])
client.unsubscribe(["BTC/USD"])
client.subscribe_options(["AAPL"])   # every AAPL contract at once

Replay then live

Pass start and the server sends history from that point, then carries on with live ticks on the same connection. History goes back up to 24 hours.

for tick in client.stream(["BTC/USD"], start="2026-06-01T09:00:00"):
    print("replay" if tick.replay else "live", tick.symbol, tick.price)

Async

import asyncio
from lse import LSE

async def main():
    client = LSE(api_key="your_key")
    async for tick in client.stream_async(["BTC/USD"]):
        print(tick)

asyncio.run(main())

The key

Pass it directly, or set it in the environment:

client = LSE(api_key="your_key")

import os
os.environ["LSE_API_KEY"] = "your_key"
client = LSE()

LSE also works as a context manager, which disconnects on exit:

with LSE() as client:
    for tick in client.stream(["BTC/USD"]):
        ...

A tick carries symbol, price, bid, ask, volume, timestamp (an ISO 8601 string), name and replay. Use tick.datetime for the timestamp as a parsed datetime.

Command line

lse auth lse_live_xxxxxxxxxxxx
lse stream BTC/USD AAPL

Licence

MIT. See LICENSE.