# Mango Markets DEX Mango Markets DEX historical data for **all its instruments** is available since **2022-01-19** until **2022-10-14**. {% embed url="" %} See Mango Markets DEX historical data coverage: available symbols, channels, date ranges and incidents {% endembed %} ### Downloadable **CSV** files Historical CSV datasets for the first day of each month are **available to download without API key**. See [downloadable CSV files documentation](/downloadable-csv-files/overview.md). | data type | symbol | date | | | --------------------- | --------- | ---------- | ------------------------------------------------------------------------------------------------------- | | incremental\_book\_L2 | MNGO-PERP | 2022-03-01 | [Download sample](https://datasets.tardis.dev/v1/mango/incremental_book_L2/2022/03/01/MNGO-PERP.csv.gz) | | trades | MNGO-PERP | 2022-03-01 | [Download sample](https://datasets.tardis.dev/v1/mango/trades/2022/03/01/MNGO-PERP.csv.gz) | | quotes | MNGO-PERP | 2022-03-01 | [Download sample](https://datasets.tardis.dev/v1/mango/quotes/2022/03/01/MNGO-PERP.csv.gz) | ### API Access and data format Historical data format is the same as provided by real-time Mango Markets DEX WebSocket API (via [mango-bowl](https://github.com/tardis-dev/mango-bowl)) with addition of local timestamps. If you'd like to work with **normalized data format** instead (same format for each exchange) see [downloadable CSV files](/downloadable-csv-files/overview.md) or official [client libs](/api/quickstart.md) that can perform data normalization client-side. {% tabs %} {% tab title="Python" %} ```python # pip install tardis-dev import asyncio from tardis_dev import Channel, replay async def main(): async for local_timestamp, message in replay( exchange="mango", from_date="2022-02-01", to_date="2022-02-02", filters=[Channel(name="l2snapshot", symbols=["BTC-PERP"])], api_key="YOUR_API_KEY", ): # messages as provided by Mango Markets DEX real-time stream print(message) asyncio.run(main()) ``` See [Python client docs](/python-client/quickstart.md). {% endtab %} {% tab title="Node.js" %} ```javascript // npm install tardis-dev import { replay } from 'tardis-dev'; const messages = replay({ exchange: 'mango', from: '2022-02-01', to: '2022-02-02', filters: [{ channel: 'l2snapshot', symbols: ['BTC-PERP'] }], apiKey: 'YOUR_API_KEY' }); // messages as provided by Mango Markets DEX real-time stream for await (const { localTimestamp, message } of messages) { console.log(localTimestamp, message); } ``` See [Node.js client docs](/node-client/quickstart.md). {% endtab %} {% tab title="cURL & HTTP API" %} ```bash curl --compressed -g 'https://api.tardis.dev/v1/data-feeds/mango?from=2022-02-01&filters=[{"channel":"l2snapshot","symbols":["BTC-PERP"]}]&offset=0' ``` {% embed url="" %} Example API response for Mango Markets DEX historical market data request {% endembed %} See [HTTP API docs](/api/http-api-reference.md). {% endtab %} {% tab title="cURL & tardis-machine" %} ```bash curl -g 'localhost:8000/replay?options={"exchange":"mango","filters":[{"channel":"l2snapshot","symbols":["BTC-PERP"]}],"from":"2022-02-01","to":"2022-02-02"}' ``` [Tardis-machine](/tardis-machine/quickstart.md) is a locally runnable server that exposes API allowing efficiently requesting historical market data for whole time periods in contrast to [HTTP API](/api/http-api-reference.md) that provides data only in minute by minute slices. See [tardis-machine](/tardis-machine/quickstart.md) docs. {% endtab %} {% endtabs %} ### Captured real-time channels {% embed url="" %} See mango-bowl docs providing documentation for each captured channel's format {% endembed %} {% hint style="info" %} Click any channel below to see [HTTP API](/api/http-api-reference.md#data-feeds-exchange) response with historical data recorded for it. {% endhint %} * [trade](https://api.tardis.dev/v1/data-feeds/mango?from=2022-03-01\&filters=\[{%22channel%22:%22trade%22}]) Trade executions stream * [l2snapshot](https://api.tardis.dev/v1/data-feeds/mango?from=2022-03-01\&filters=\[{%22channel%22:%22l2snapshot%22}]) Level 2 order book snapshots stream * [l2update](https://api.tardis.dev/v1/data-feeds/mango?from=2022-03-01\&filters=\[{%22channel%22:%22l2update%22}]) Level 2 order book incremental updates stream * [quote](https://api.tardis.dev/v1/data-feeds/mango?from=2022-03-01\&filters=\[{%22channel%22:%22quote%22}]) Best bid and ask quote updates stream * [recent\_trades](https://api.tardis.dev/v1/data-feeds/mango?from=2022-03-01\&filters=\[{%22channel%22:%22recent_trades%22}]) Recent trades snapshot stream * [l3snapshot](https://api.tardis.dev/v1/data-feeds/mango?from=2022-03-01\&filters=\[{%22channel%22:%22l3snapshot%22}]) Level 3 order book snapshots stream * [open](https://api.tardis.dev/v1/data-feeds/mango?from=2022-03-01\&filters=\[{%22channel%22:%22open%22}]) Order open events stream * [fill](https://api.tardis.dev/v1/data-feeds/mango?from=2022-03-01\&filters=\[{%22channel%22:%22fill%22}]) Order fill events stream * [change](https://api.tardis.dev/v1/data-feeds/mango?from=2022-03-01\&filters=\[{%22channel%22:%22change%22}]) Order change events stream * [done](https://api.tardis.dev/v1/data-feeds/mango?from=2022-03-01\&filters=\[{%22channel%22:%22done%22}]) Order done events stream ### Market data collection details [Market data collection infrastructure](/faq/general.md#what-is-your-infrastructure-setup) for Mango Markets DEX was located in GCP europe-west2 region (London, UK). Real-time market data was captured via **WebSocket connection** to `ws://static.93.79.119.168.clients.your-server.de/v1/ws`. {% hint style="info" %} Mango Markets DEX was a Solana-based decentralized exchange with no centralized server infrastructure. {% endhint %} --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.tardis.dev/historical-data-details/mango.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.