How a Fintech Startup Added Technical Analysis in 2 Days

The Challenge

The startup was building a social trading platform. Their users wanted to see technical indicators alongside price charts but building a proper indicator calculation engine (handling edge cases, multiple timeframes, symbol resolution across brokers) would take their two-person engineering team at least 3-4 months. Investors were asking for a demo in two weeks.

The Solution

By using the TickAtlas API, the team outsourced all indicator calculations. The /v1/indicators endpoint returns all 42 indicators for any symbol and timeframe in a single call. Their frontend renders the data; the API does the math.

# One call = 42 indicators across any timeframe
response = requests.get(
    "https://tickatlas.com/v1/indicators",
    headers={"X-API-Key": API_KEY},
    params={"symbol": symbol, "timeframe": timeframe}
)
indicators = response.json()["data"]

# Feed directly into chart component
chart.set_rsi(indicators["rsi"]["value"])
chart.set_macd(indicators["macd"]["main"],
               indicators["macd"]["signal"],
               indicators["macd"]["histogram"])

The Results

• 2-day integration: One developer connected the API to their React frontend in a weekend. Charts showed live indicator overlays by Monday.
• 42 indicators from day one: Users got access to every major indicator category (trend, oscillator, volatility, volume) without the team calculating any of them.
• 7 timeframes: Users can switch between M1 and D1 timeframes, with indicators recalculated automatically for each.
• 3 months of engineering saved: The team focused on their core product (social features) while TickAtlas handled data infrastructure.

Architecture

User selects symbol + timeframe in UI
  → React frontend → API proxy (Node.js)
  → /v1/indicators?symbol=X&timeframe=Y
  → Response cached for 30s in Redis
  → Rendered on chart with TradingView widget

Key Endpoints Used