TickAtlas

Use Case

News & Event Trading

Economic calendar integration, pre-event volatility analysis, and real-time indicator monitoring to capitalize on NFP, FOMC, ECB, and other high-impact events.

The Challenge

High-impact economic events like Non-Farm Payrolls, central bank rate decisions, and GDP releases create the biggest moves in forex and commodities. But trading them profitably requires knowing exactly when events happen, analyzing pre-event positioning (are indicators already stretched?), and monitoring real-time reaction across multiple pairs simultaneously. Most traders rely on fragmented tools — a separate calendar, manual indicator checks, and delayed data feeds.

How TickAtlas Solves It

Economic Calendar API

/v1/calendar returns upcoming events with impact level, previous, forecast, and actual values. Filter by currency and impact.

Pre-Event Analysis

Check indicator positioning before events: Is RSI already overbought? Is ATR showing compressed volatility ready to expand?

Real-Time Volatility

ATR and Bollinger Band width on M5/M15 to track volatility expansion during event releases in real time.

Multi-Pair Monitoring

/v1/heatmap shows which pairs are moving post-event. Spot correlated moves across USD pairs after FOMC.

Key Endpoints

Event Trading Architecture

architecture
┌─────────────────────────────────────────────────────────────┐
                   News Trading System

  ┌──────────────┐    ┌──────────────┐    ┌──────────────┐
 Calendar Pre-Event Post-Event
 Monitor      │───▶│ Analysis Execution
 /v1/calendar /v1/indicator /v1/heatmap
  └──────────────┘ (ATR, RSI)   │    └──────┬───────┘   │
       Event in       └──────┬───────┘
       30 minutes
                      ┌──────▼───────┐
 Positioning
 Decision     │◀──────────┘
                      └──────┬───────┘

                      Execute Trade
└─────────────────────────────────────────────────────────────┘

Code Example

python
import requests
from datetime import datetime, timedelta

API_KEY = "your_api_key"
BASE = "https://tickatlas.com/v1"
headers = {"X-API-Key": API_KEY}

# 1. Check upcoming high-impact events
calendar = requests.get(f"{BASE}/calendar", headers=headers,
    params={"currency": "USD", "impact": "high"}).json()

for event in calendar["data"]["events"]:
    event_time = datetime.fromisoformat(event["datetime"])
    time_until = event_time - datetime.utcnow()

    if timedelta(minutes=0) < time_until < timedelta(hours=1):
        print(f"Upcoming: {event['title']} in {time_until.seconds // 60}m")

        # 2. Pre-event indicator check on affected pairs
        for symbol in ["EURUSD", "USDJPY", "GBPUSD"]:
            atr = requests.get(f"{BASE}/indicator", headers=headers,
                params={"symbol": symbol, "name": "atr", "timeframe": "M15"}).json()
            rsi = requests.get(f"{BASE}/indicator", headers=headers,
                params={"symbol": symbol, "name": "rsi", "timeframe": "H1"}).json()

            print(f"  {symbol}: ATR={atr['data']['value']:.5f}, RSI={rsi['data']['value']:.1f}")

            # Flag if RSI is extreme pre-event (potential reversal)
            if rsi["data"]["value"] > 70 or rsi["data"]["value"] < 30:
                print(f"  ⚠ {symbol} RSI extreme — watch for reversal on release")

Recommended Plan

Starter Plan

$29/mo

News trading is event-driven, not continuous. The Starter plan provides enough requests for pre-event analysis, calendar polling, and post-event monitoring across your watchlist.

  • ✓ /v1/calendar with impact filtering
  • ✓ /v1/heatmap for post-event correlation
  • ✓ All 42 indicators for pre-event positioning
View all plans →

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14-day free trial. Get calendar data and pre-event analysis before your next trade.