How to get FOREX data live-streaming in python?
Question:
I used this github code for getting FOREX data live-streaming, but it produced NAN values in all columns.
Can anyone help me to get live FOREX data in python?
Your help will be appreciated, thanks in advance
Answers:
Can you post your output / error?
Is it like the following?
Date Bid Bid_point Ask Ask_point High Low Open
Symbol
not authorized NaT NaN NaN NaN NaN NaN NaN NaN
If so,
are you passing username and password to the script?
Here is the help provided from that very script:
python3 truefx_api.py --help
Usage: run.py [OPTIONS]
Options:
--symbols TEXT Symbols list (separated with ','
--username TEXT TrueFX username
--password TEXT TrueFX password
--force-unregistered / --no-force-unregistered
Force unregistered
--expire_after TEXT Cache expiration (-1: no cache, 0: no
expiration, 00:15:00.0: expiration delay)
--help Show this message and exit.
UPDATE:
In response to OP’s latest comment:
The referenced doc http://www.truefx.com/dev/data/TrueFX_MarketDataWebAPI_DeveloperGuide.pdf contains an EXAMPLE username and password. You cannot use those. You need to signup and get a real username and password.
Step No. 1:
Contact the API-provider ( TrueFX in this case )
and
contract with them the API-usage ( Terms & Conditions apply ).
Result [1] : you will receive valid user credentials for your use
{
USERNAME: <_a_unique_your_username_contracted_with_TrueFX_>,
PASSWORD: <_a_unique_your_password_contracted_with_TrueFX_>
}
Next No.2:
Having received this “key” to using theirs API, your CLI launch may start like this:
python3 truefx_api.py --symbols EUR/USD --username <_a_unique_your_username_contracted_with_TrueFX_> --password <_a_unique_your_password_contracted_with_TrueFX_>
Result [2] : you will receive API-services, given
a) you have correctly provided credentials obtained in Step No.1 exactly, 1:1, without a single typo on the command line
or
b) you have correctly setup so called environment variables TRUEFX_USERNAME and TRUEFX_PASSWORD ( kindly consult your system documentation or contact the system administrator in case such setup is restricted but to the owner of the localhost administrator’s privilege )
Next No.3:
Since this moment,
a) you may enjoy the contracted API-services,
or
b) you might have to claim API-services failures on the provider-side ( TrueFX, for this case ) given some problems arise, so as to have such API-service failure fixed & for due remedies to take place and you move back to a)
Result [3] : Sun is shining and the World works as it was assumed to have to.
Disclaimer: I am one of the developers for Polygon.io
100% Free Forex/Currency Trades/Quotes streams. We use NATS.io as the message broker which has clients for Python and almost every other language.
- Our latency is usually less than 200ms
- Prices are to the 5 decimal digits
- 54 Tracked forex pairs
Here is the code sample for Python 3.x : https://github.com/Polygon-io/client-examples/tree/master/python
Polygon.io – Free real time forex stream
We also have RESTful APIs for current/historic prices.
The script was written by Nematillo Ochilov.
Run the script at https://colab.research.google.com/
#! pip install yfinance
#! pip install fbprophet
import yfinance
import pandas as pd
import datetime
from fbprophet import Prophet
data = yfinance.download ('BTC-USD', strat = '2020-12-01', # machine learning period
end = datetime.datetime.today (), interval = '1d') # period interval unit (day)
df = pd.DataFrame ()
df ['y'] = data ['Close']
df ['ds'] = data.index
model = Prophet (daily_seasonality = True)
model.fit (df)
future = model.make_future_dataframe (periods = 730) # future prediction period
result = model.predict (future)
model.plot (result)
From this script you can get the history of stocks, metals, currency pairs and cryptocurrencies and predict their future.
If you are new to programming, this video will help you to run the script https://youtu.be/qTDn149P9-o
I used this github code for getting FOREX data live-streaming, but it produced NAN values in all columns.
Can anyone help me to get live FOREX data in python?
Your help will be appreciated, thanks in advance
Can you post your output / error?
Is it like the following?
Date Bid Bid_point Ask Ask_point High Low Open
Symbol
not authorized NaT NaN NaN NaN NaN NaN NaN NaN
If so,
are you passing username and password to the script?
Here is the help provided from that very script:
python3 truefx_api.py --help
Usage: run.py [OPTIONS]
Options:
--symbols TEXT Symbols list (separated with ','
--username TEXT TrueFX username
--password TEXT TrueFX password
--force-unregistered / --no-force-unregistered
Force unregistered
--expire_after TEXT Cache expiration (-1: no cache, 0: no
expiration, 00:15:00.0: expiration delay)
--help Show this message and exit.
UPDATE:
In response to OP’s latest comment:
The referenced doc http://www.truefx.com/dev/data/TrueFX_MarketDataWebAPI_DeveloperGuide.pdf contains an EXAMPLE username and password. You cannot use those. You need to signup and get a real username and password.
Step No. 1:
Contact the API-provider ( TrueFX in this case )
and
contract with them the API-usage ( Terms & Conditions apply ).
Result [1] : you will receive valid user credentials for your use
{USERNAME: <_a_unique_your_username_contracted_with_TrueFX_>,PASSWORD: <_a_unique_your_password_contracted_with_TrueFX_>}
Next No.2:
Having received this “key” to using theirs API, your CLI launch may start like this:
python3 truefx_api.py --symbols EUR/USD --username <_a_unique_your_username_contracted_with_TrueFX_> --password <_a_unique_your_password_contracted_with_TrueFX_>
Result [2] : you will receive API-services, given
a) you have correctly provided credentials obtained in Step No.1 exactly, 1:1, without a single typo on the command line
or
b) you have correctly setup so called environment variablesTRUEFX_USERNAMEandTRUEFX_PASSWORD( kindly consult your system documentation or contact the system administrator in case such setup is restricted but to the owner of the localhost administrator’s privilege )
Next No.3:
Since this moment,
a) you may enjoy the contracted API-services,
or
b) you might have to claim API-services failures on the provider-side ( TrueFX, for this case ) given some problems arise, so as to have such API-service failure fixed & for due remedies to take place and you move back to a)
Result [3] : Sun is shining and the World works as it was assumed to have to.
Disclaimer: I am one of the developers for Polygon.io
100% Free Forex/Currency Trades/Quotes streams. We use NATS.io as the message broker which has clients for Python and almost every other language.
- Our latency is usually less than 200ms
- Prices are to the 5 decimal digits
- 54 Tracked forex pairs
Here is the code sample for Python 3.x : https://github.com/Polygon-io/client-examples/tree/master/python
Polygon.io – Free real time forex stream
We also have RESTful APIs for current/historic prices.
The script was written by Nematillo Ochilov.
Run the script at https://colab.research.google.com/
#! pip install yfinance
#! pip install fbprophet
import yfinance
import pandas as pd
import datetime
from fbprophet import Prophet
data = yfinance.download ('BTC-USD', strat = '2020-12-01', # machine learning period
end = datetime.datetime.today (), interval = '1d') # period interval unit (day)
df = pd.DataFrame ()
df ['y'] = data ['Close']
df ['ds'] = data.index
model = Prophet (daily_seasonality = True)
model.fit (df)
future = model.make_future_dataframe (periods = 730) # future prediction period
result = model.predict (future)
model.plot (result)
From this script you can get the history of stocks, metals, currency pairs and cryptocurrencies and predict their future.
If you are new to programming, this video will help you to run the script https://youtu.be/qTDn149P9-o