TickAtlas

CCI API — Live Commodity Channel Index

CCI values above +100 signal overbought; below -100 signal oversold. Pull both CCI_14 and CCI_20 from REST without managing typical-price calculations.

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

What is the CCI API?

The Commodity Channel Index measures how far price has deviated from its statistical average, expressed as a multiple of mean absolute deviation. Values above +100 indicate a strongly overbought condition or the start of a new trend; below -100, oversold. Originally designed for commodities, CCI works equally well on Forex and crypto. TickAtlas pre-calculates CCI_14 and CCI_20 from our live data so your bot queries final values, not raw OHLC arrays.

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=CCI_14&timeframe=H1" \
  -H "X-API-Key: YOUR_API_KEY"
200 OK 
{
  "success": true,
  "data": {
    "symbol": "EURUSD",
    "timeframe": "H1",
    "indicator": "CCI_14",
    "value": 125.3,
    "bid": 1.08401,
    "ask": 1.08414,
    "updated_at": 1711548000,
    "server_time": "2024-03-27T14:00:00+00:00"
  }
}

Two Periods. One Endpoint Each.

cURL Request 
curl -H "X-API-Key: YOUR_KEY" "https://tickatlas.com/v1/indicator?symbol=EURUSD&indicator=CCI_20&timeframe=H1"
Python CCI zone detection 
import requests

r = requests.get(
    "https://tickatlas.com/v1/indicator",
    headers={"X-API-Key": "YOUR_KEY"},
    params={"symbol": "EURUSD", "indicator": "CCI_20", "timeframe": "H1"},
)
cci = r.json()["data"]["value"]

# CCI zone detection
if cci > 100:
    zone = "OVERBOUGHT"
elif cci < -100:
    zone = "OVERSOLD"
else:
    zone = "NEUTRAL"
print(zone)
200 OK Response 
{
  "success": true,
  "data": {
    "symbol": "EURUSD",
    "timeframe": "H1",
    "indicator": "CCI_20",
    "value": 98.7,
    "bid": 1.08401,
    "ask": 1.08414,
    "updated_at": 1711548000,
    "server_time": "2024-03-27T14:00:00+00:00"
  }
}

Available CCI indicators

  • CCI_14 — 14-period CCI (standard)
  • CCI_20 — 20-period CCI (smoother)

CCI interpretation:

Above +100 — overbought / strong bullish trend

Below -100 — oversold / strong bearish trend

Between ±100 — normal price range

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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Integrations

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Frequently asked questions

What developers ask first.

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

Why does the CCI API return values like +142 or -250?

Unlike RSI or Stochastic, CCI is not bounded to a 0–100 range. Values can theoretically go to any extreme. The ±100 levels are conventional thresholds — extreme readings like ±200 indicate very strong momentum conditions.

Is CCI useful for Forex pairs, not just commodities?

Yes — despite the name, CCI is widely used on all markets. It works particularly well on trending Forex pairs and gold (XAUUSD). The ±100 thresholds remain the standard reference points regardless of the instrument.

What's the difference between CCI_14 and CCI_20?

CCI_14 reacts faster and crosses ±100 more frequently. CCI_20 produces fewer, higher-quality signals. Compare both: if both exceed +100 simultaneously, it's a stronger confirmation of overbought pressure.

Can I use CCI to identify divergence?

Yes — query CCI_14 history via /v1/indicator/history and compare the CCI trend to the price trend. If price makes a new high but CCI_14 makes a lower high, that's bearish divergence — a potential reversal signal.

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