2-day integration
One developer connected the API to their React frontend in a weekend. Charts showed live indicator overlays by Monday.
Instead of spending months building indicator calculation engines from scratch, a fintech platform integrated 42 pre-calculated indicators via API in a single weekend.
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.
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"]["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 figures below describe this worked example as written, not a measured outcome from an identified account.
One developer connected the API to their React frontend in a weekend. Charts showed live indicator overlays by Monday.
Users got access to every major indicator category (trend, oscillator, volatility, volume) without the team calculating any of them.
Users can switch between M1 and D1 timeframes, with indicators recalculated automatically for each.
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.
Every scenario combines a small set of endpoints. The implementation changes; the contract stays predictable — HTTP requests, JSON responses and an API key.
Automated monitoring of 50 currency pairs 24/7 using the screener and multi endpoints.
/v1/screener/v1/multi/v1/indicator Feeding real-time market data to an LLM for autonomous trading decisions without manual parsing.
/v1/summary/v1/indicators Rule-based market summaries and heatmaps generate consistent newsletter content.
/v1/summary/v1/heatmap Enterprise plan: 1M req/day, 100 API keys, custom indicators, SLA guarantee. Every account starts pay-as-you-go with $2.50 of credit.