Illustrative scenario · Enterprise Plan — $349/mo

How a Fintech Startup Added Technical Analysis in 2 Days

Instead of spending months building indicator calculation engines from scratch, a fintech platform integrated 42 pre-calculated indicators via API in a single weekend.

FintechReact · Node.js · Redis4 endpoints used
2 daysIntegration Time
42Indicators
7Timeframes
EnterprisePlan used
The challenge

What the workflow looked like before the API.

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 and multiple timeframes) would take their two-person engineering team at least 3-4 months. Investors were asking for a demo in two weeks.

Fintech Enterprise ($349/mo) ReactNode.jsRedis
The solution

Move the calculation behind one request.

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.

python Fintech Startup
# 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"]["indicators"]

# Flat map of name -> bare float
chart.set_rsi(indicators["RSI_14"])
chart.set_macd(indicators["MACD_main"],
               indicators["MACD_signal"],
               indicators["MACD_hist"])
The results

What changed in the scenario.

The figures below describe this worked example as written, not a measured outcome from an identified account.

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.

About these figures. These case studies are illustrative implementation scenarios, not audited customer references. The people named in them are composite personas, no company is identified, and every figure describes the scenario as written rather than a measured result from an identified account. The endpoints, parameters and architectures are real and documented; the outcomes you would see depend on your own workflow, configuration, market coverage and surrounding application.

Endpoint toolkit

The primitives this workflow is built from.

Every scenario combines a small set of endpoints. The implementation changes; the contract stays predictable — HTTP requests, JSON responses and an API key.

Automation
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/v1/screener/v1/multi/v1/indicator
AI & agents
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Feeding real-time market data to an LLM for autonomous trading decisions without manual parsing.

/v1/summary/v1/indicators
Publishing
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/v1/summary/v1/heatmap
Build your own implementation

Ship Features, Not Infrastructure

Enterprise plan: 1M req/day, 100 API keys, custom indicators, SLA guarantee. Every account starts pay-as-you-go with $2.50 of credit.