Two Fundamentally Different Models
REST (request-response) and WebSocket (persistent connection) are not just different protocols -- they represent different philosophies about how data should flow between systems.
REST / Polling
Client asks for data when it needs it. Simple, stateless, easy to debug. Each request is independent.
GET /v1/indicator?symbol=EURUSD&indicator=RSI_14&timeframe=H4
→ {"success": true, "data": {"indicator": "RSI_14", "value": 65.4, ...}}WebSocket / Streaming
Server pushes data to client continuously. Low latency, but complex connection management.
ws://api.example.com/stream
← {"type":"tick","bid":1.0854,"ask":1.0855}
← {"type":"tick","bid":1.0853,"ask":1.0854}When REST Is Better
Indicator-based strategies (H1 and above)
If your strategy checks RSI on the H4 chart, you only need fresh data every few minutes. Polling every 30 seconds is simpler and uses fewer resources than maintaining a persistent connection.
Multi-symbol scanning
Scanning 20 pairs for setups is naturally a batch operation. A REST loop that checks each pair sequentially is easier to reason about than 20 WebSocket subscriptions.
Serverless architectures
Lambda functions, cloud functions, and cron jobs work perfectly with REST. They spin up, make calls, process data, and shut down. WebSockets require a persistent process.
# REST polling loop -- simple, reliable, debuggable
import requests, time
while True:
for symbol in ["EURUSD", "GBPUSD", "XAUUSD"]:
data = requests.get(
"https://tickatlas.com/v1/indicator",
headers={"X-API-Key": "YOUR_KEY"},
params={"symbol": symbol, "indicator": "RSI_14", "timeframe": "H4"},
).json()
rsi = data["data"]["value"]
if rsi > 80 or rsi < 20:
send_alert(symbol, rsi)
time.sleep(60) # Check every minuteWhen WebSocket Is Better
Tick-by-tick execution
If you need every price change to calculate VWAP or detect micro-structure patterns, streaming is essential. Polling at any interval means missing data points.
Scalping (M1 and below)
When your edge depends on millisecond-level timing, the overhead of HTTP request/response is too high. WebSocket gives you low-latency delivery.
Live dashboards
If you are building a real-time dashboard for end users, WebSocket provides a better experience than polling -- no visible lag, no wasted bandwidth.
Latency Comparison
| Metric | REST | WebSocket |
|---|---|---|
| First data point | 50-200ms | 500ms+ (connection setup) |
| Subsequent data | 50-200ms per call | 5-50ms per message |
| Reconnection cost | None (stateless) | High (re-subscribe, may miss data) |
| Complexity | Low | High (heartbeats, reconnection) |
The Hybrid Approach
Most production systems use both. REST for setup, configuration, historical data, and indicator calculations. WebSocket (when available) for tick data and order status updates.
# Hybrid architecture
# REST: fetch indicators every 5 minutes for strategy decisions
# WebSocket: stream ticks for precise entry timing
import asyncio
import requests
async def strategy_loop():
"""REST-based strategy evaluation."""
while True:
# Fetch H4 indicators via REST
data = requests.get(
"https://tickatlas.com/v1/indicator",
headers={"X-API-Key": "YOUR_KEY"},
params={"symbol": "EURUSD", "indicator": "RSI_14", "timeframe": "H4"},
).json()
rsi = data["data"]["value"]
if rsi < 30:
# Signal identified -- wait for precise entry via ticks
await wait_for_entry_tick("EURUSD", "long")
await asyncio.sleep(300) # Check every 5 minDecision Framework
Ask these questions to choose the right approach:
How often do you need data?
Every few seconds or less = WebSocket. Every minute or more = REST. The crossover point is roughly 5-10 second intervals.
Can you tolerate connection drops?
REST retries are trivial. WebSocket reconnection requires state management, resubscription, and gap detection. If reliability trumps latency, start with REST.
What is your deployment model?
Serverless, cron jobs, or containers that scale to zero = REST. Long-running daemons or VPS deployments = either works.
Run this against live data.
Every account starts pay-as-you-go with $2.50 of credit and no card. Paste the key into the samples above and the requests work unchanged.