CandleBoy
Crypto exchange indicator application
Notes
- Only exchange is Phemex so far, they require specific symbols for SPOT and FUTURE
- SPOT Symbols start with s and are handled in USDT ex. sBTCUSDT
- FUTURE Symbols are all formatted as so BTC/USD:USD
- Can create symbols with
symbolmethod
Installation
- Requires TA-Lib which may be difficult to install
- Here is their install docs https://mrjbq7.github.io/ta-lib/install.html
pip install candleboy
Usage
Instantiation
from candleboy.core import CandleBoy
# Only exchange at the moment is phemex
# Verbose shows logging
client = CandleBoy(exchange='phemex', verbose=True)
# Turn logging on/off
client.verbose()
client.silent()
# Access current exchange property
print(client.exchange)
Get a list of all available timeframes for an exchange
client.timeframes()
Retrieve Open, High, Low, Close, Volume data from exchange
- Some exchanges may return different values
- Retrieves 1000 candles for phemex
# Create symbol first
symbol = client.symbol(base='BTC', quote='USD', code='future') # BTC/USD:USD
timestamps, open, high, low, close, volume = client.ohlcv(symbol=symbol, tf='1m')
# Use a start at date
date = '2021-12-29' # YEAR-MONTH-DATE
timestamps, open, high, low, close, volume = client.ohlcv(symbol=symbol, tf='1m', since=date)
Get Moving Average Convergence/Divergence Indicator Values
symbol = client.symbol(base='BTC', quote='USD', code='future')
_, _, _, _, close, _ = client.ohlcv(symbol, '1m')
macd, signal, histogram = client.macd(close)
# May optionally change parameters (default is 12, 26, 9)
fastperiod = 9
slowperiod = 12
signalperiod = 3
macd, signal, histogram = client.macd(close, fastperiod, slowperiod, signalperiod)
Get Exponential Moving Average Indicator Values
symbol = client.symbol(base='BTC', quote='USD', code='future')
_, _, _, _, close, _ = client.ohlcv(symbol, '1m')
ema = client.ema(close)
# May optionally change parameters (default is 200)
timeperiod = 20
ema = client.ema(close, timeperiod)
Get Stochastic Indicator Values
symbol = client.symbol(base='BTC', quote='USD', code='future')
_, _, high, low, close, _ = client.ohlcv(symbol, '1m')
slowk, slowd = client.stoch(high, low, close)
# May optionally change parameters (default is 5, 3, 0, 3, 0)
fastk_period = 5
slowk_period = 3
slowk_matype = 0
slowd_period = 3
slowd_matype = 0
slowk, slowd = client.stoch(high, low, close, fastk_period, slowk_period, slowk_matype, slowd_period, slowd_matype)
Get ADX Indicator Values
symbol = client.symbol(base='BTC', quote='USD', code='future')
_, _, high, low, close, _ = client.ohlcv(symbol, '1m')
adx = client.adx(high, low, close)
# May optionally change parameters (default is 14)
timeperiod = 14
adx = client.stoch(high, low, close, timeperiod)
Get MESA Indicator Values
symbol = client.symbol(base='BTC', quote='USD', code='future')
_, _, _, _, close, _ = client.ohlcv(symbol, '1m')
mama, fama = client.mesa(close)
# May optionally change parameters (default is 0.5, 0.05)
fastlimit = 0.5
slowlimit = 0.05
mama, fama = client.mesa(close, fastlimit, slowlimit)
Test
- Runs the tests on the CandleBoy module
make test
Metadata
Release files for candleboy 2.2.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| candleboy-2.2.2.tar.gz | 6.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| candleboy-2.2.2-py2.py3-none-any.whl | Python 3, Python 2 | none | any | Details |
Total release size: 12.6 kB
Release files / candleboy-2.2.2.tar.gz
| Download URL | candleboy-2.2.2.tar.gz |
|---|---|
| Size | 6.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
python-requests/2.31.0
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Release files / candleboy-2.2.2-py2.py3-none-any.whl
| Download URL | candleboy-2.2.2-py2.py3-none-any.whl |
|---|---|
| Size | 6.6 kB |
| Tags | Python 2 Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
python-requests/2.31.0
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