sifting/io
Trading platform

Trading platforms and exchanges

Power live charts, order tickets, and watchlists with real-time and historical quotes across stocks, forex, crypto, and commodities under one schema.

<100msmedian quote latency
1 schemastocks, FX, crypto, commodities
REST + WShistory and live
How it fits together

One feed in, your product out

Markets you need
StocksForexCryptoCommodities
SiftingIOOne JSON schema. One key. REST and WebSocket.
What you buildYour trading platform

If you run a trading platform or an exchange front end, the market data is the product. Users judge you on whether the chart actually ticks, whether the order ticket shows the price they expect, and whether the watchlist agrees with the chart. This is how teams wire that up on SiftingIO without standing up a separate feed handler for every asset class they list.

The problem

A trading platform has to render live prices, charts, and watchlists across several asset classes, each from a different source with its own schema, auth, and timestamp semantics. Stitching them together makes the front end fragile and the latency uneven.

How SiftingIO handles it

SiftingIO delivers real-time quotes and trades over WebSocket and historical OHLCV over REST for stocks, forex, crypto, and commodities, all under one JSON schema and one credential. Sub-100ms median latency from primary regions keeps charts and tickets responsive, and consistent timestamps line every market up on the same clock.

One price clock across every market you list

The usual failure mode in a multi-asset front end is that each market arrives from a different source on a slightly different clock. A crypto pair updates on one cadence, an equity on another, and the timestamps never quite line up, so a synced multi-pane view drifts apart. SiftingIO publishes every market off the same aggregation clock with consistent timestamps, so a watchlist, a chart, and an order ticket all reference the same instant. That quietly removes a whole class of "why does the chart disagree with the ticket" support tickets.

History and live data through one client

A chart needs two things: a backfill of bars to draw the initial view, and a live stream to keep the last candle moving. With most providers those are two different APIs with two different response shapes, so you end up writing and maintaining two adapters that have to agree. Here the historical OHLCV comes over REST and the live updates come over WebSocket, both under the same JSON schema and the same key. Your charting layer parses one shape and switches between sources without a translation step in the middle.

Adding a market is a subscription change, not a rebuild

When you decide to list commodities, or add another region of equities, you do not want to integrate a new provider, learn a new schema, and re-test auth from scratch. On SiftingIO a new asset class is the same endpoints and the same token, gated only by your subscription. The front-end code that already renders crypto renders the new market on the day you switch it on.

Start building

From zero to live data in three steps

  1. 1

    Create a free API key

    Sign up and generate a key. The free tier covers every market, with no sales call to get started.

  2. 2

    Subscribe to your markets

    Add the markets your product needs. Bundle discounts apply automatically once two or more Pro markets are active.

  3. 3

    Call REST or stream over WebSocket

    Pull snapshots and history over REST, or subscribe to live ticks over WebSocket. Same schema and key, in Go, Python, or TypeScript.

FAQ

Trading platform: common questions

Can one feed power charts across stocks, forex, and crypto?

Yes. Real-time quotes and trades stream over WebSocket and historical bars come over REST for every market under the same JSON schema and credential. A charting component reads the same shape regardless of asset class, so you build the front end once.

How low is the latency for live order tickets?

Median latency from primary regions is under 100 milliseconds, which keeps live charts, watchlists, and order tickets feeling responsive as prices move.

What history is available for charts and replay?

Historical OHLCV is available over REST with bar intervals from one minute upward, so a platform can render multi-timeframe charts and replay sessions from the same client it uses for live data.

Can I add a new market without re-integrating?

Yes. Every market shares one schema and one bearer token, so adding an asset class to your platform is a subscription change, not a new data client or parser.

How is a trading platform billed?

Pricing is per market and per tier, with bundle discounts that apply automatically once two or more Pro markets are active. You pay for the markets you list and scale on a predictable monthly quota.

Same data, same SLA, same schema

Build this on SiftingIO.

Start on the free tier, mix asset classes when you need to, and reach out if you want a closer look at how a similar team set up their stack.