3x faster signal detection
What took 60+ minutes of manual scanning now takes 20 minutes of reviewing API-flagged setups.
Illustrative scenario · Pro Plan — $79/mo
How a Solo Algo Trader Monitors 50 Pairs with One API
A solo algorithmic trader replaced manual chart scanning with API-powered automation, cutting signal detection time by 3x while covering 5 times more instruments.
AutomationPython · Cron · Telegram4 endpoints used
50Pairs Monitored
3xFaster Signals
24/7Coverage
ProPlan used
The challenge
What the workflow looked like before the API.
Marcus, a full-time algo trader operating from home, was manually scanning 10 forex charts across multiple timeframes every morning. The process took over an hour and he was still missing setups on pairs he did not monitor. He knew his edge was sound but his coverage was the bottleneck. Moving from 10 pairs to 50 would be impossible manually.
The solution
Move the calculation behind one request.
Marcus replaced his manual chart scanning with two API calls. The /v1/screener endpoint ranks all 50 pairs by one indicator value in a single request — oversold RSI, say — and the /v1/multi endpoint then fetches the RSI, MACD and ADX values for the flagged symbols so his script can apply the rest of his criteria.
bash Solo Algo Trader
# Scan all pairs for setups curl -H "X-API-Key: YOUR_API_KEY" \ "https://tickatlas.com/v1/screener?indicator=RSI_14&max_val=30&timeframe=H4&offset=0&limit=50" # Get details for flagged symbols curl -H "X-API-Key: YOUR_API_KEY" \ "https://tickatlas.com/v1/multi?symbols=EURUSD,GBPUSD&indicators=RSI_14,MACD_hist,ADX&timeframe=H4"
The results
What changed in the scenario.
The figures below describe this worked example as written, not a measured outcome from an identified account.
50 pairs monitored 24/7
A cron job runs the screener every 4 hours across all major, minor, and exotic pairs.
Consistent execution
No more missed setups from fatigue or distraction. The API checks the same conditions every cycle.
More trades, better quality
Wider coverage means more high-probability setups, with the same strict criteria applied uniformly.
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.
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Monitor Every Pair, Every Session
The Pro plan provides 100,000 requests/day at 600 req/min. Every account starts pay-as-you-go with $2.50 of credit.