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Home/Portfolio/Fixing Frozen Price Charts on a Trading Platform with Caching and a Credit Budget
Web DevelopmentOnline Trading2026

Fixing Frozen Price Charts on a Trading Platform with Caching and a Credit Budget

Caching, rate limiting and graceful degradation for a live market data feed

A live trading terminal was hammering the Twelve Data API twice a second per tab and freezing on rate limits; we added caching, a credit budget and graceful back-off.

PHPJavaScriptcPanelTwelve Data API

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An online trading platform, built in PHP and JavaScript on cPanel hosting, had a visible and embarrassing fault: the live price charts froze. Not slowly degraded — froze, mid-session, for users watching a market.

The diagnosis

We traced the price-fetching layer and found it had no caching and no rate limiting at all. Every open browser tab refreshed the live terminal twice per second, and every one of those refreshes went straight out to the Twelve Data API. Two users with three tabs each were enough to exhaust the plan's allowance, and when the limit hit, the charts simply stopped.

We also counted what the site was actually asking for: 34 active symbols, 24 of them requiring Twelve Data — far beyond the five to ten the client believed were in play, and structurally impossible to serve at that refresh rate on the Basic tier. That number, not the code, was the ceiling.

What we built

  • Server-side quote caching, so many browser tabs share one upstream request instead of each making their own.
  • A per-minute and per-day credit budget on outbound calls, so the platform governs its own consumption rather than discovering the limit by hitting it.
  • Adaptive refresh pacing that slows the polling rate as the remaining quota falls.
  • Automatic back-off that serves the last good price rather than freezing — a chart a few seconds stale is a working chart; a frozen one is an outage.
  • Cached candle history, so chart redraws stop re-fetching data that has not changed.

Outcome

The fix was deployed and tested live on the client's site. He confirmed it and released the milestone: "Thanks a lot, Marc! Appreciate your fast and clean work... Left you a great review too!" — along with a clear picture of what his current API tier can and cannot support at his symbol count.

The Challenge

The platform's live price charts froze because the price-fetching layer had no caching or rate limiting, while the terminal refreshed twice a second in every open tab — exhausting the Twelve Data plan allowance almost immediately.

Our Solution

We added a server-side caching and rate-limiting layer between the platform and Twelve Data: shared quote caching, a per-minute and per-day credit budget, adaptive refresh pacing tied to remaining quota, automatic back-off that serves the last good price rather than stalling, and cached candle history. We also reported the true symbol count driving demand and what the current tier could realistically sustain.

Key Features

Server-side quote caching shared across browser tabs
Per-minute and per-day API credit budget on outbound calls
Adaptive refresh pacing against remaining quota
Automatic back-off serving the last good price instead of freezing
Cached candle history
Plan-ceiling analysis across 34 active symbols on the Basic tier

Technology Stack

PHPJavaScriptcPanelTwelve Data API

Results

The fix was deployed and tested live on the client's site; charts no longer freeze on rate-limit exhaustion. The client released the milestone, praised the fast and clean work, and left a review.

Category

Web Development

Industry

Online Trading

Year

2026

Components

0 repositories

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