Build docker image:
cd ~
git clone https://github.com/Zapata/bitshares-pricefeed.git
cd bitshares-pricefeed
docker build -t bitshares-pricefeed .
Install globally:
cd ~
git clone https://github.com/Zapata/bitshares-pricefeed.git
cd bitshares-pricefeed
python setup.py install
Or in a dedicated virtualenv environment:
cd ~
git clone https://github.com/Zapata/bitshares-pricefeed.git
cd bitshares-pricefeed
pip install virtualenv
virtualenv -p python3 wrappers_env/
source wrappers_env/bin/activate
python setup.py install
You can generate a sample configuration file using:
bitshares-pricefeed create
Or copy one from the examples
directory:
File | Description |
---|---|
default | Default configuration generated by create command. Use to publish all the main Bitshares assets. |
bsip42 | Sample configuration to publish a 'target price' compliant with BSIP42. See below for more information. |
hero | HERO asset publication configuration. |
hertz | HERTZ asset publication configuration. |
XCD | XCD asset publication configuration. |
stocks | Sample configuration to publish Bitshares NASDAQ stocks trackers. |
composite | Showcase the Composite source feature (see below) |
Add a feed producer name to the config.yml
file just created:
vim config.yml
# The producer name(s)
producer: your_witness_name
IF you use docker image you can run:
docker run -v /path/to/config.yml:/config/config.yml bitshares-pricefeed update --active-key=XXXXXXX
If you installed bitshares-pricefeed locally use:
bitshares-pricefeed update --active-key=XXXXXXX
See help for the full description of the command.
Above solution will pass active key credentials on the command line, if you want to reuse a pybitshares wallet see instruction in Use pybitshares encrypted wallet.
Using cron:
$ crontab -e
ACTIVE_KEY="XXXXXXXXXXXXXXXX"
0,15,30,45 * * * * docker run -v /path/to/config.yaml:/config/config.yaml bitshares-pricefeed update --skip-critical --active-key=$ACTIVE_KEY
$ bitshares-pricefeed --help
Usage: bitshares-pricefeed [OPTIONS] COMMAND [ARGS]...
Options:
--configfile TEXT
--node <wss://host:port> Node to connect to
--help Show this message and exit.
Commands:
addkey Add a private key to the wallet
create Create config file
update Update price feed for assets
$ bitshares-pricefeed update --help
Usage: bitshares-pricefeed update [OPTIONS] [ASSETS]...
Update price feed for assets
Options:
--dry-run Only compute prices and print result, no
publication.
--active-key WIF Active key to be used to sign transactions.
--confirm-warning / --no-confirm-warning
Need for manual confirmation of warnings
--skip-critical / --no-skip-critical
Skip critical feeds
--help Show this message and exit.
The following data sources are currently available:
Name | Status | Assets type | API Key | Description |
---|---|---|---|---|
AEX | OK | Crypto | No | last and volume (in quote currency) from CEX ticker api with 15 sec delay |
AlphaVantage | OK | FIAT, Stocks, BTC | Yes | last from unknown source for currencies and from iex for stocks. volume only for stocks (in nb of shares). |
Big.One | OK | Crypto | Yes | bid/ask average and volume (in quote currency) from bulk CEX ticker API. |
Binance | OK | Crypto | No | last and volume (in quote currency) from CEX ticker api |
BitcoinAverage | OK | Crypto | No | Use APIv2, get last and volume from an average of multiple exchanges. |
Bitcoin Venezuela | OK | Crypto | No | ticker from api with 15 minutes delay, no volume |
BitsharesFeed | OK | Crypto (MPA) | No | current feed price in Bitshares DEX, no volume. |
BitsharesOrderbook | OK | Crypto | No | measure orderbook depth on Bitshares DEX |
Bitstamp | OK | Crypto | No | last and volume (in quote currency) from CEX ticker api |
Bittrex | OK | Crypto | No | last and volume (in quote currency) from summary api (bulk) |
Coinbase | OK | Crypto | No | Use Coinbase Pro (ex GDAX) ticker api to get last and 24h volume. |
Coincap | Fails, to be fixed | ALTCAP & ALTCAP.X | No | use provided market cap, no volume |
CoinEgg | OK | Crypto | No | last and volume (in quote currency) from CEX ticker api |
CoinGecko | OK | Crypto | No | volume weighted price, sum of market volume. |
Coinmarketcap | Warn | Crypto | No | volume weighted average of all prices reported at each market, volume in USD, 5 minutes delay (see https://coinmarketcap.com/faq/). V1 API will be closed December 4th, 2018. |
CoinmarketcapPro | OK | Crypto | Yes | volume weighted average of all prices reported at each market, volume in quote, 1 minutes delay. Use v2 api. |
Currencylayer | Fails, to be fixed | FIAT, BTC | Yes | ticker from api, only USD as base and hourly updated with free subscription, no volume info. From various source (https://currencylayer.com/faq) |
CoinTiger | OK | Crypto | No | last and volume (in quote currency) from summary api (bulk) |
Fixer | OK | FIAT | Yes | Very similar to CurrencyLayer, ticker from api, daily from European Central Bank, only EUR with free subscription, no volume info. |
Graphene | OK | Crypto, FIAT, Stocks | No | last and volume (in quote currency) from Bitshares DEX in realtime |
Huobi | OK | Crypto | No | close price and volume (in quote currency) from CEX API in realtime |
IEX | Fails, to be fixed | Stocks | No | last ("IEX real time price", "15 minute delayed price", "Close" or "Previous close") and volume. |
IndoDax | OK | Crypto | No | last and volume (in quote currency) from CEX ticker API. |
Kraken | OK | Crypto | No | last and volume (in quote currency) from CEX ticker API. |
LBank | OK | Crypto | No | last and volume (in quote currency) from CEX API in realtime |
MagicWallet | OK | BITCNY/CNY | Yes | BITCNY/CNY ratio from deposti/withdraw on MagicWallet. |
OkCoin | Fails, to be fixed | Crypto | No | last and volume (in quote currency) from CEX API in realtime |
OpenExchangeRates | OK | FIAT, BTC | Yes | ticker from api, only USD as base and hourly updated with free subscription, no volume info. From unknown sources except Bitcoin wich is from CoinDesk (https://openexchangerates.org/faq#sources) |
Poloniex | OK | Crypto | No | last and volume (in quote currency) from CEX API in realtime |
Quantl | OK | Commodities | Yes | daily price from London Bullion Market Association (LBMA), no volume |
RobinHood | Fails, to be fixed | Stocks | No | last, no volume, from unknown source in real time |
WorldCoinIndex | OK | Crypto | Yes | volume weighted price, sum of market volume. |
ZB | OK | Crypto | No | last and volume (in quote currency) from CEX API in realtime |
A manual source is available to inject some manually set / constand data to the source feed. This could be usefull for:
- testing to avoid connection to a third party datasource.
- inject a static rate like BitUSD/USD
Example:
exchanges:
manual:
klass: Manual
feed:
USD:
BTS:
price: 42
volume: 1
A composite source could be used to group multiple sources together in order to aggregate them using a specific fomula.
Aggregation types formulas could be:
min
: select the minimum value for each pairsmax
: select the maximum value for each pairsmean
: compute the mean price of all the pairs and sum the volume.weighted_mean
: compute the volume weighted mean price of all the pairs and sum the volume.median
: compute the median price of all the pairs and sum the volume.first_valid
: select the first pairs where the source match an ordered list of sources.
The main use cases is if you want to retrieve a pair like BTC/USD from multiples sources (worldcoinindex, bitcoinaverage, coinmarketcap), but you want to use only one of the value in all your computations. The same apply for FIAT exchange rates from (fixer, currencylayer, openexchangerate, ...).
Some assets use a computed formula as price like HERO or HERTZ. Those are implemented with a source class that return the computed value, usually with USD as quote.
In order to better maintain the peg of Smartcoins, it might be necessary to apply a negative feedback to the computed price. The published price is no more the market price but a target price. See BSIP42 for more information.
This could be enabled setting the target_price_algorithm
option on an asset publication:
assets:
CNY:
target_price_algorithm: 'adjusted_feed_price'
target_price_adjustment_scale: 1.2
The algorithm used and available are under constant development by Bitshares witnesses, so please look at examples/bsip42.yaml for the latest documentation on the possible algorithms and their parameters.
Price sources could be manipulated, so a price publisher may want to ensure that the price do not go below a threshold. See BSIP76.
This could be enabled setting the price_threshold
option on an asset publication configuration:
assets:
USD:
price_threshold: 0.0350
CNY:
price_threshold: 0.2200
See examples/bsip76.yaml as a full example.
In order to avoid loopholes, BAIP2 propose to use as feed price the highest between the current price and the two-day moving average price.
This could be enabled setting the price_threshold
option on an asset publication configuration, or in the default asset configuration section:
default:
loopholes_protection_days: 2
assets:
USD:
loopholes_protection_days: 3
In that case, all the assets will have the loopholes protection activated, and will use a two days moving average. There is an exception for USD, that will use a three day moving average.
In order to compute the moving average the previously computed prices (before adjustment) will be used. Those prices should be first saved in a storage then they will be loaded to compute the average. The storage mechanism should be configured, as there is no default option. See below for the detailed explanation.
See also examples/baip2.yaml as a working example.
To store and load the computed prices, multiple storage macanism option are implemented:
- file
- database
To use a 'file' storage you should add in the configuration:
history:
klass: FileHistory
dirname: prices_db
This will save all the computed prices in the relative prices_db
folder using a CSV file per asset.
history:
klass: SqlHistory
url: "postgres+pypostgresql://user:pass@localhost:5432/postgres"
schema_name: 'price_feed'
table_name: 'raw_prices'
Any kind of database supported by SQLAlchemy can be used. However, the appropriate Python drivers should be installed. As an example to use Postgresql you should first run:
pip install SQLAlchemy py-postgresql
As this is a popular option you can also install it using the history_db_postgresql
feature:
pip install .[history_db_postgresql]
See SQLAlchemy documentation for more details on how to connect to the database.
By default the script will use a table raw_prices
in the price_feed
schema. Schema and table names are configurable, they will be automatically created if they does not exists.
Initialize wallet and enter credentials:
$ bitshares-pricefeed addkey
You will need to enter your cli wallet encryption passphrase. If you don't have a pybitshares wallet, yet, one will be created:
Wallet Encryption Passphrase:
Repeat for confirmation:
You will need to enter your Private Key (Active key) here. Hit enter the second time it asks you.
Private Key (wif) [Enter to quit]:
Then you can run the feed update without any argument, it will prompt for the Wallet Encryption Passphrase.
$ bitshares-pricefeed update
Current Wallet Passphrase:
If you don't want to type the Wallet Encryption Passphrase each time, use UNLOCK
environment variable.
Example in cron:
$ crontab -e
SHELL=/bin/bash
PATH=/home/ubuntu/bin:/home/ubuntu/.local/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin
UNLOCK="PASSWD"
0,15,30,45 * * * * bitshares-pricefeed --configfile /home/ubuntu/config.yml --skip-critical --no-confirm-warning update >> /var/log/bitshares-pricefeed.log 2>&1
Or with Docker image:
docker run -v /path/to/config:/config -v /path/to/wallet:/root/.local/share/bitshares -e UNLOCK=PASS bitshares-pricefeed
To run tests you need get API keys for the providers, and register them as environment variables:
export QUANDL_APIKEY=
export OPENEXCHANGERATE_APIKEY=
export FIXER_APIKEY=
export CURRENCYLAYER_APIKEY=
export ALPHAVANTAGE_APIKEY=
export WORLDCOININDEX_APIKEY=
export MAGICWALLET_APIKEY=
export COINMARKETCAP_APIKEY=
To run all tests use: PYTHONPATH=. pytest
.
To run a specific test: PYTHONPATH=. pytest -k bitcoinvenezuela
.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
THE SOFTWARE.