Open data
The figures behind our guides, as plain CSV files. Free to use, including commercially, as long as you credit Broker Almanac with a link to this page.
Each file says where every row came from and when we read it. Published figures link to the exchange's own page. Measured figures are ours, taken from accounts we funded. How we collect both is on how we measure and check.
USDT to Nigerian naira P2P prices, read daily: OKX, Bybit and MEXC
One reading a day of the price to buy and to sell USDT for naira on each exchange's P2P market, at three order sizes: the best qualifying advert, the typical price, and the pinned adverts kept apart. A second file counts each market once a day: adverts listed, smallest order, payment methods and payment windows. 13 days of readings so far.
Download CSV Market counts CSV See the readingsUSDT to Kenyan shilling P2P prices, read daily: Binance, OKX, Bybit and MEXC
One reading a day of the price to buy and to sell USDT for Kenyan shillings on each exchange's P2P market, at three order sizes: the best qualifying advert, the typical price, and the pinned adverts kept apart. A second file counts each market once a day: adverts listed, smallest order, payment methods and payment windows. 13 days of readings so far.
Download CSV Market counts CSV See the readingsUSDT to Ghanaian cedi P2P prices, read daily: OKX, Bybit and MEXC
One reading a day of the price to buy and to sell USDT for Ghana cedis on each exchange's P2P market, at three order sizes: the best qualifying advert, the typical price, and the pinned adverts kept apart. A second file counts each market once a day: adverts listed, smallest order, payment methods and payment windows. 13 days of readings so far.
Download CSV Market counts CSV See the readingsUSDT to South African rand P2P prices, read daily: Binance, OKX and Bybit
One reading a day of the price to buy and to sell USDT for rand on each exchange's P2P market, at three order sizes: the best qualifying advert, the typical price, and the pinned adverts kept apart. A second file counts each market once a day: adverts listed, smallest order, payment methods and payment windows. 2 days of readings so far.
Download CSV Market counts CSV See the readingsUSDT to Philippine peso P2P prices, read daily: Binance, OKX, Bybit and MEXC
One reading a day of the price to buy and to sell USDT for pesos on each exchange's P2P market, at three order sizes: the best qualifying advert, the typical price, and the pinned adverts kept apart. A second file counts each market once a day: adverts listed, smallest order, payment methods and payment windows. 2 days of readings so far.
Download CSV Market counts CSV See the readingsUSDT withdrawal fees and minimums by network: Binance, OKX and MEXC
The USDT withdrawal fee and minimum withdrawal that each exchange displayed for every network it lists, read from the exchange's own fee page. 51 rows.
Download CSVUSDT to Nigerian naira P2P prices, first manual reading: OKX, Bybit and MEXC
The naira price range each exchange's P2P page showed in its default view on the day we first read it by hand, with featured adverts recorded separately and the payment methods shown. 9 rows. The daily series above replaces it.
Download CSVSpot trading fees for regular accounts: Binance, Bybit, MEXC and OKX
Maker and taker rates for the entry tier on each exchange, with the discount each one advertises. 5 rows.
Download CSVSpreads we measured on live accounts: HFM, XM and OKX
Bid, ask and spread read from our own funded accounts, with the account type, platform and session. 4 rows.
Download CSVWithdrawal times we measured: HFM and XM
How long a withdrawal took to arrive from our own accounts, by method. 4 rows.
Download CSVReusing the data
These files are released under the Creative Commons Attribution 4.0 licence. Quote them, chart them or build on them. Please credit "Broker Almanac" and link to https://brokeralmanac.com/data/.
What the data is not
- Fees and peer-to-peer prices move. Every row is what a page showed on the date given, not a live feed.
- Our measurements are single readings from our own accounts. They are evidence, not averages.
- If you find a row that is wrong, tell us and we will correct the file.