biquote API Reference

All REST endpoints are prefixed with /api. The API is publicly accessible — no API key, no signup, no authentication for any read endpoint.

Service status: GET /health returns feed and collector health as JSON.

Anonymous callers get 15,000 requests per minute per IP in a fixed one-minute window. Exceeding it returns 429 Too Many Requests with these headers:

Staying under the limit is easy:

• Batch — fetch many symbols in one request with /api/latest: ?symbols=EURUSD&symbols=XAUUSD&symbols=BTCUSD (repeat the symbols parameter — the comma form is not supported).
• Stream — the SignalR hub at /hubs/tick pushes ticks over one connection with no polling and no rate limit.
• Back off — on a 429, wait the Retry-After seconds before retrying.

The API uses standard HTTP status codes:

{
  "message": "No tick data available for 'INVALIDXYZ'"
}

Rate-limit rejections and calendar validation errors use an error field instead of message:

{
  "error": "rate_limited",
  "message": "Too many requests. Retry after 60 seconds.",
  "hint": "Use GET /api/latest?symbols=... to batch, or stream via SignalR at /hubs/tick.",
  "docs": "https://biquote.io/docs/"
}

Access real-time and historical tick data (bid, ask, mid, spread, day range) for any active symbol.

curl https://biquote.io/api/EURUSD

const res = await fetch('https://biquote.io/api/EURUSD');
const tick = await res.json();
console.log(tick.bid, tick.ask);

import requests
tick = requests.get('https://biquote.io/api/EURUSD').json()
print(tick['bid'], tick['ask'])

{
  "symbol": "EURUSD",
  "description": "Euro vs US Dollar",
  "bid": 1.08542,
  "ask": 1.08548,
  "mid": 1.08545,
  "spread": 0.00006,
  "last": 0.0,
  "volume": 0,
  "high": 1.08800,
  "low": 1.08530,
  "direction": "FLAT",
  "dayDiffPercent": -0.09,
  "timestamp": "2026-02-24T10:30:00Z",
  "time": "2026.02.24 10:30:00",
  "source": "MetaTrader 5 (Broker 1)",
  "marketState": "open",
  "stale": false,
  "quoteAgeSeconds": 0,
  "lastQuoteAt": "2026-02-24T10:30:00Z"
}

curl "https://biquote.io/api/latest?symbols=EURUSD&symbols=XAUUSD&symbols=BTCUSD"

curl "https://biquote.io/api/EURUSD/history?count=50"

curl https://biquote.io/api/active

[
  {
    "name": "EURUSD",
    "description": "Euro vs US Dollar",
    "type": "Forex",
    "exchange": "Forex",
    "source": "MT5"
  },
  {
    "name": "XAUUSD",
    "description": "Gold vs US Dollar",
    "type": "Commodity",
    "exchange": "Forex",
    "source": "MT5"
  }
]

Query symbol metadata — name, description, type, exchange, and data source.

# Symbols with live data right now
curl "https://biquote.io/api/symbols?liveOnly=true"

# All MT5 symbols
curl "https://biquote.io/api/symbols?source=MT5"

curl "https://biquote.io/api/symbols/search?q=gold&liveOnly=true"

curl https://biquote.io/api/symbols/EURUSD

Top gainers and losers across all asset classes with configurable time periods.

# Top 5 forex gainers today
curl "https://biquote.io/api/market/gainers?type=Forex&limit=5&period=1D"

{
  "period": "1D",
  "items": [
    {
      "symbol": "XAUUSD",
      "description": "Gold vs US Dollar",
      "lastPrice": 4396.09,
      "changePercent": 4.25,
      "changeAmount": 179.20,
      "volume": 0
    }
  ]
}

curl "https://biquote.io/api/market/losers?type=Crypto&limit=10&period=1H"

curl "https://biquote.io/api/market/most-active?limit=10"

curl "https://biquote.io/api/market/summary"

Financial news feed aggregated from multiple sources. Filter by symbol, language and country.

# All market news
curl "https://biquote.io/api/news/market"

# Filtered by symbol
curl "https://biquote.io/api/news/market?symbol=AAPL&maxResults=5"

const res = await fetch('https://biquote.io/api/news/market?language=tr&country=TR');
const news = await res.json();
news.forEach(a => console.log(a.title, a.publishedDate));

import requests
news = requests.get(
    'https://biquote.io/api/news/market',
    params={'language': 'tr', 'country': 'TR', 'maxResults': 10}
).json()
for a in news:
    print(a['title'], a['publishedDate'])

[
  {
    "title": "Markets rally as Fed signals rate pause",
    "description": "Wall Street surged on Wednesday after...",
    "url": "https://example.com/article",
    "publisher": "Reuters",
    "publishedDate": "2026-02-24T09:15:00Z",
    "imageUrl": null,
    "category": null,
    "language": "en",
    "country": "US"
  }
]

# Front page
curl "https://biquote.io/api/news/hn"

# Story search
curl "https://biquote.io/api/news/hn?q=bitcoin&maxResults=5"

[
  {
    "title": "Show HN: A real-time market data API",
    "description": "342 points · 128 comments",
    "url": "https://example.com/story",
    "publisher": "Hacker News",
    "publishedDate": "2026-08-19T06:30:00Z",
    "imageUrl": null,
    "category": null,
    "language": "en",
    "country": "US"
  }
]

Scheduled macroeconomic releases with their actual, forecast and previous readings, across 54 countries. Two feeds sit behind it and their coverage deliberately does not overlap: the MetaTrader 5 economic calendar supplies the twenty-two majors, and a second feed supplies what it omits — Turkey, central and eastern Europe, the smaller euro-area members, Asian emerging markets and the Gulf. Both are normalised to the same shape, so nothing you write needs to know which one a row came from. The store holds a rolling window of roughly 90 days back and 90 days forward.

Call GET /api/calendar/countries for the exact list. A calendar this broad is also a noisy one — filter on importance unless you genuinely want every treasury-bill auction.

# This week, everything
curl "https://biquote.io/api/calendar"

# High-impact US, EU and Turkish releases only
curl "https://biquote.io/api/calendar?countries=US,EU,TR&importance=high"

const res = await fetch('https://biquote.io/api/calendar?importance=high&limit=50');
const events = await res.json();
for (const e of events) {
  // actual is null until the figure is published — never treat it as 0
  const status = e.actual === null ? 'upcoming' : `actual ${e.actual}`;
  console.log(e.time, e.countryCode, e.name, status);
}

import requests
events = requests.get(
    'https://biquote.io/api/calendar',
    params={'countries': 'US,TR', 'importance': 'high', 'limit': 50}
).json()
for e in events:
    print(e['time'], e['countryCode'], e['name'], e['actual'], e['forecast'])

[
  {
    "id": "mql5:900001",
    "eventId": "mql5:840",
    "time": "2026-08-07T12:30:00Z",
    "period": "2026-07-01T00:00:00Z",
    "countryCode": "US",
    "currency": "USD",
    "name": "Nonfarm Payrolls",
    "importance": "high",
    "type": "indicator",
    "sector": "jobs",
    "unit": "job",
    "multiplier": "thousands",
    "digits": 0,
    "actual": 152000,
    "forecast": 145000,
    "previous": 147000,
    "revisedPrevious": 149000,
    "revision": 1,
    "timeMode": "exact",
    "sourceUrl": "https://www.bls.gov/",
    "source": "mql5"
  }
]

curl "https://biquote.io/api/calendar/upcoming?limit=10&importance=high"

[
  { "code": "EU", "name": "EU", "currency": "EUR" },
  { "code": "TR", "name": "Türkiye", "currency": "TRY" },
  { "code": "US", "name": "US", "currency": "USD" }
]

curl "https://biquote.io/api/calendar/mql5:840/history?limit=12"

Retrieve OHLCV candlestick bars for any symbol. Data is sourced from Yahoo Finance (bootstrap), real-time tick aggregation, and MT5 historical feeds. Supports M1 through D1 timeframes with up to 2000 bars per series.

# Latest 100 hourly bars
curl "https://biquote.io/api/EURUSD/ohlc?interval=1h&limit=100"

# Daily bars for a date range
curl "https://biquote.io/api/BTCUSD/ohlc?interval=1d&from=2026-01-01T00:00:00Z"

const res = await fetch('https://biquote.io/api/EURUSD/ohlc?interval=1h&limit=200');
const data = await res.json();
// data.bars → array of { openTime, open, high, low, close, volume, tickVolume, isOpen }
const closedBars = data.bars.filter(b => !b.isOpen);
console.log(`${data.symbol} ${data.interval}: ${closedBars.length} bars`);

import requests
import pandas as pd

r = requests.get('https://biquote.io/api/EURUSD/ohlc', params={'interval': '1h', 'limit': 500})
data = r.json()
df = pd.DataFrame(data['bars'])
df['openTime'] = pd.to_datetime(df['openTime'])
df = df.set_index('openTime')
print(df[['open','high','low','close']].tail())

{
  "symbol": "EURUSD",
  "interval": "1h",
  "bars": [
    {
      "openTime": "2026-02-24T13:00:00Z",
      "open": 1.08521,
      "high": 1.08574,
      "low": 1.08498,
      "close": 1.08542,
      "volume": 0,
      "tickVolume": 340,
      "isOpen": true
    },
    {
      "openTime": "2026-02-24T12:00:00Z",
      "open": 1.08480,
      "high": 1.08530,
      "low": 1.08440,
      "close": 1.08521,
      "volume": 0,
      "tickVolume": 412,
      "isOpen": false
    }
  ]
}

Connect to the SignalR hub for live tick data. The hub pushes updates as market data arrives — no polling required.

Client → Server Methods

await connection.invoke('Subscribe', ['EURUSD', 'XAUUSD', 'BTCUSD']);

await connection.invoke('Unsubscribe', ['EURUSD']);

const tick = await connection.invoke('GetLatestTick', 'EURUSD');
console.log(tick.bid, tick.ask);

const symbols = await connection.invoke('GetSubscriptions');
console.log(symbols); // ['EURUSD', 'XAUUSD']

Server → Client Events

connection.on('ReceiveTick', (tick) => {
  console.log(`${tick.symbol}: bid=${tick.bid} ask=${tick.ask}`);
});

Full example — connect, subscribe, and receive live prices in the browser.

import * as signalR from '@microsoft/signalr';

const connection = new signalR.HubConnectionBuilder()
    .withUrl('https://biquote.io/hubs/tick')
    .withAutomaticReconnect()
    .build();

// Listen for live ticks
connection.on('ReceiveTick', (tick) => {
    console.log(`[${tick.symbol}] bid: ${tick.bid}  ask: ${tick.ask}`);
});

// Connect and subscribe
await connection.start();
await connection.invoke('Subscribe', ['EURUSD', 'XAUUSD', 'BTCUSD']);

import requests

# REST: Get latest tick
tick = requests.get('https://biquote.io/api/EURUSD').json()
print(f"EURUSD bid={tick['bid']}  ask={tick['ask']}")

# REST: Top gainers today
gainers = requests.get(
    'https://biquote.io/api/market/gainers',
    params={'limit': 5, 'period': '1D'}
).json()
for item in gainers['items']:
    print(f"{item['symbol']}: +{item['changePercent']:.2f}%")

// Install: dotnet add package Microsoft.AspNetCore.SignalR.Client
using Microsoft.AspNetCore.SignalR.Client;

var connection = new HubConnectionBuilder()
    .WithUrl("https://biquote.io/hubs/tick")
    .WithAutomaticReconnect()
    .Build();

connection.On<object>("ReceiveTick", tick =>
{
    Console.WriteLine($"Tick received: {tick}");
});

await connection.StartAsync();
await connection.InvokeAsync("Subscribe", new[] { "EURUSD", "XAUUSD" });

import requests
import pandas as pd

# Fetch 500 hourly EURUSD candles
r = requests.get('https://biquote.io/api/EURUSD/ohlc', params={'interval': '1h', 'limit': 500})
data = r.json()

df = pd.DataFrame(data['bars'])
df['openTime'] = pd.to_datetime(df['openTime'])
df = df.set_index('openTime').sort_index()

# Drop the still-open bar
df = df[~df['isOpen']]

print(df[['open','high','low','close','tickVolume']].tail(10))

# Example: simple moving average
df['sma20'] = df['close'].rolling(20).mean()
print(df[['close','sma20']].tail(5))

Tick

• symbolstringSymbol name (e.g. EURUSD)
• descriptionstringHuman-readable name
• bidnumberBest bid price
• asknumberBest ask price
• midnumberMidpoint of bid/ask — use this as the price
• spreadnumberask − bid
• lastnumberAlways 0 for FX/CFD sources — use mid
• volumenumberAlways 0 for FX/CFD sources
• highnumberDay's highest price
• lownumberDay's lowest price
• directionstringUP, DOWN or FLAT vs the previous tick
• dayDiffPercentnumberPercent change since the daily open
• timestampstring (ISO 8601)Tick timestamp (UTC)
• sourcestringData source (e.g. MetaTrader 5 (Broker 1))

Symbol

• namestringSymbol ticker
• descriptionstringFull name
• typestringForex / Stock / Crypto / Index / Commodity
• exchangestringExchange name (e.g. Forex, Crypto)
• sourcestringData provider: MT5 or MATRIKS

OhlcBar

• openTimestring (ISO 8601)Bar open timestamp (UTC)
• opennumberOpening price
• highnumberHighest price in the bar
• lownumberLowest price in the bar
• closenumberClosing price (last tick if bar is open)
• volumeintegerReal volume (0 for Forex)
• tickVolumeintegerNumber of ticks in the bar
• isOpenbooleantrue for the current unfinished bar; updated on every tick