Kaiko Fair Market Value (low liquidity pairs)
Fair Market Value Pricing can also be accessed via on-chain delivery to power any smart contract. Learn how to set it up here.
What is this endpoint for?
This endpoint calculates a synthetic price when there is no liquidity (historic trades) between two assets (fiat or digital). The methodology is developed with global tax and accounting standards in mind. Additionally, our robust price aggregation method reduces the impact of outliers in terms of volume and price, meaning you can trust the price returned.
The calculation works as follows:
Retrieve the last available optimal liquidity path
Listen to trades for all intermediary pairs from all covered exchanges where the instrument is actively traded
Compute RWM price for each intermediary pair
Compute the product of intermediary pairs based on the liquidity path
The calculation considers all instruments traded across all exchanges covered by Kaiko.
When using a synthetic price, in order to to meet IFRS-compliance standards, any fiat currency value should be requested in USD and converted using the Oanda FX Rates add-on.
Endpoints
gateway-v0-grpc.kaiko.ovh
Parameters
window
The window on which you would like your Cross Price to be calculated.
Available windows: 1s
, 5s
, 15s
, 30s
, 60s
, 300s
15s
update_frequency
How regularly you would like to receive your pricing updates.
Available frequencies: 1s
, 5s
, 10s
, 30s
, and 1m
1s
assets
A nested object to configure following properties for your stream:
base
- the base asset you'd like your price to be based onquote
- the asset you'd like the price to be quoted in
Explore instruments, codes and exchanges in the Instrument Explorer or Reference Data.
btc
eur
extrapolate_missing_values
This parameter is set to false
by default. Setting it to true
means that if there is no trade price available from the calculation window you configured, the last available price (from outside the window) will be used.
false
Exchanges that send their trades late may not be captured in the given sliding window.
Fields
assets
The base
and quote assets
as configured above.
price
The calculated Cross Price.
timestamp
The time the Cross Price was calculated.
window
A nested object containing the following fields:
startTime
- The start of the calculation window for this Cross PriceendTime
- The end of the calculation window for this Cross PriceDuration
- The window as configured above
noTrade
If false
a price was able to be calculated within the window provided. If true
the extrapolate_missing_values
parameter was needed to calculate a price.
Request examples
Make sure to read our Python quick-start guide before starting.
# This is a code example. Configure your parameters in the parameter configuration section #
from __future__ import print_function
import logging
import os
import grpc
from google.protobuf.json_format import MessageToJson
from google.protobuf import duration_pb2
from kaikosdk import sdk_pb2_grpc
from kaikosdk.core import instrument_criteria_pb2, assets_pb2
from kaikosdk.stream.aggregates_ohlcv_v1 import request_pb2 as pb_ohlcv
from kaikosdk.stream.aggregates_vwap_v1 import request_pb2 as pb_vwap
from kaikosdk.stream.market_update_v1 import request_pb2 as pb_market_update
from kaikosdk.stream.market_update_v1 import commodity_pb2 as pb_commodity
from kaikosdk.stream.trades_v1 import request_pb2 as pb_trades
from kaikosdk.stream.index_v1 import request_pb2 as pb_index
from kaikosdk.stream.index_multi_assets_v1 import request_pb2 as pb_index_multi_assets
from kaikosdk.stream.index_forex_rate_v1 import request_pb2 as pb_index_forex_rate
from kaikosdk.stream.aggregated_quote_v2 import request_pb2 as pb_aggregated_quote
from kaikosdk.stream.aggregates_spot_exchange_rate_v2 import request_pb2 as pb_spot_exchange_rate
from kaikosdk.stream.aggregates_direct_exchange_rate_v2 import request_pb2 as pb_direct_exchange_rate
def aggregates_spot_exchange_rate_request(channel: grpc.Channel):
try:
with channel:
stub = sdk_pb2_grpc.StreamAggregatesSpotExchangeRateV2ServiceV1Stub(channel)
# confiugure your window and frequency #
window = duration_pb2.Duration()
window.FromSeconds(10)
update_frequency = duration_pb2.Duration()
update_frequency.FromSeconds(2)
responses = stub.Subscribe(pb_spot_exchange_rate.StreamAggregatesSpotExchangeRateV2RequestV1(
# confiugure your assets #
assets = assets_pb2.Assets(
base = "eth",
quote = "usd"
),
# End of parameter configuration#
window = window,
update_frequency = update_frequency
))
for response in responses:
print("Received message %s" % (MessageToJson(response, including_default_value_fields = True)))
except grpc.RpcError as e:
print(e.details(), e.code())
def run():
credentials = grpc.ssl_channel_credentials(root_certificates=None)
call_credentials = grpc.access_token_call_credentials(os.environ['KAIKO_API_KEY'])
composite_credentials = grpc.composite_channel_credentials(credentials, call_credentials)
channel = grpc.secure_channel('gateway-v0-grpc.kaiko.ovh', composite_credentials)
aggregates_spot_exchange_rate_request(channel)
if __name__ == '__main__':
logging.basicConfig()
run()
Response Example
{
"assets": {
"base": "eth",
"quote": "usd"
},
"price": 2629.972960779576,
"timestamp": "2024-08-12T10:35:06.026554200Z",
"window": {
"startTime": "2024-08-12T10:34:56Z",
"endTime": "2024-08-12T10:35:06Z",
"duration": "10s"
},
"noTrade": false
}
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