TickAtlas

Bollinger Bands API — Squeeze & Breakout Detection

Get upper, middle, lower band, and band-width as JSON. Pre-calculated using 20-period SMA and 2 standard deviations. Spot squeezes before the breakout.

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15+API endpoints
42Indicator series
M1–D17 timeframes
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Why TickAtlas

What is the Bollinger Bands API?

Bollinger Bands place an upper and lower envelope around a 20-period moving average based on standard deviation. When the bands contract (squeeze), it signals a period of low volatility — often a precursor to a sharp move. Our API delivers BB_upper, BB_middle, BB_lower, and BB_width pre-calculated from our live data and refreshed on each candle close. Build breakout alerts, mean-reversion bots, or volatility dashboards without touching a single candle.

Pre-Calculated, Redis-Cached

Indicator values are computed server-side on every new candle. Your app queries the result — no TA library, no candle history needed.

7 Timeframes

M1, M5, M15, M30, H1, H4, D1 — the same endpoint serves scalpers and position traders alike.

Forex, Crypto, Commodities

EURUSD, GBPUSD, XAUUSD, BTCUSD, USDJPY — data available for every symbol in our data.

One Request. Instant Data.

REQUEST 
curl -X GET \
  "https://tickatlas.com/v1/indicator?symbol=EURUSD&indicator=BB_upper&timeframe=H1" \
  -H "X-API-Key: YOUR_API_KEY"
200 OK 
{
  "success": true,
  "data": {
    "symbol": "EURUSD",
    "timeframe": "H1",
    "indicator": "BB_upper",
    "value": 1.08512,
    "bid": 1.08401,
    "ask": 1.08414,
    "updated_at": 1711548000,
    "server_time": "2024-03-27T14:00:00+00:00"
  }
}

Four Band Values. One Call.

cURL Request 
curl -H "X-API-Key: YOUR_KEY" "https://tickatlas.com/v1/indicators?symbol=EURUSD&timeframe=H1&category=volatility"
Python Squeeze + breakout detection 
import requests

r = requests.get(
    "https://tickatlas.com/v1/indicators",
    headers={"X-API-Key": "YOUR_KEY"},
    params={"symbol": "EURUSD", "timeframe": "H1", "category": "volatility"},
)
d = r.json()["data"]["indicators"]   # flat map of bare floats
price = 1.0925

# Squeeze + breakout detection
if price > d["BB_upper"]:
    signal = "BREAKOUT_UP"
elif price < d["BB_lower"]:
    signal = "BREAKOUT_DOWN"
else:
    signal = "INSIDE_BANDS"
print(signal)
200 OK Response 
{
  "success": true,
  "data": {
    "symbol": "EURUSD",
    "timeframe": "H1",
    "indicators": {
      "BB_upper": 1.0921, "BB_middle": 1.0865, "BB_lower": 1.0809,
      "BB_width": 0.0112, "ATR_14": 0.00121, "ATR_7": 0.00138,
      "StdDev_20": 0.00082
    },
    "count": 7,
    "updated_at": 1711548000
  }
}

Available BB indicators

  • BB_upper — Upper band (SMA20 + 2σ)
  • BB_middle — Middle band (SMA20)
  • BB_lower — Lower band (SMA20 − 2σ)
  • BB_width — Band width (upper − lower)

Plug into any stack

  • ChatGPT Custom GPTs
  • Claude Tools
  • Python / pandas
  • Node.js
  • Discord bots
  • Slack webhooks
  • n8n
  • Zapier
  • Google Sheets
Pricing

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Every new account starts with $2.50 of pay-as-you-go credit and no card. Monthly plans add a flat monthly price, WebSocket streaming and support.

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$29 per month · 10,000 requests/day · 120/min
  • Every REST endpoint except raw ticks
  • WebSocket streaming, 5 symbols
  • Released calendar actuals
  • Email support
  • 3 API keys
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Pro
$79 per month · 100,000 requests/day · 600/min
  • Everything in Starter
  • Raw tick data (/v1/ticks)
  • Priority support
  • 10 API keys
  • WebSocket streaming, 20 symbols
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Docs and implementation

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Quickstart

Make the first authenticated request and validate the setup end to end.

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API reference

Request and response contracts for quote, indicator, summary and calendar.

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Integrations

How the API drops into ChatGPT, Claude, Discord, n8n, Zapier and Sheets.

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Frequently asked questions

What developers ask first.

Straight answers on limits, coverage and how the endpoint behaves in production.

What BB parameters does the API use?

The standard 20-period SMA with 2 standard deviations (20,2). This is the widely accepted default and matches standard platforms's built-in Bollinger Bands indicator. Custom period support is on the roadmap.

How do I detect a Bollinger Band squeeze?

Query BB_width over time and monitor when it falls below a threshold relevant to your symbol (e.g., 0.0015 for EURUSD on H1). Use the /v1/indicator/history endpoint to retrieve historical BB_width values and calibrate your squeeze threshold.

Can I combine Bollinger Bands with RSI from the same API?

Absolutely. Both are on the same /v1/indicator endpoint with the same request format. Query BB_upper, BB_lower, and RSI_14 in parallel — common confluence: price touching upper band + RSI above 70 = overbought signal.

Is BB_middle the same as SMA_20?

Yes — BB_middle is the 20-period simple moving average, identical to SMA_20. You can query either indicator name to get the same value.

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