Interactive with MetaTraderDataFeed¶

MetaTraderDataFeed init¶

In [2]:

from dotenv import load_dotenv
import os
from lettrade.exchange.metatrader import MetaTraderDataFeed

load_dotenv()

data = MetaTraderDataFeed(
    symbol="EURUSD",
    timeframe="1h",
    api_kwargs=dict(
        login=int(os.environ["MT5_LOGIN"]),
        password=os.environ["MT5_PASSWORD"],
        server=os.environ["MT5_SERVER"],
        # wine=os.getenv("MT5_WINE", None),
    ),
)

from dotenv import load_dotenv import os from lettrade.exchange.metatrader import MetaTraderDataFeed load_dotenv() data = MetaTraderDataFeed( symbol="EURUSD", timeframe="1h", api_kwargs=dict( login=int(os.environ["MT5_LOGIN"]), password=os.environ["MT5_PASSWORD"], server=os.environ["MT5_SERVER"], # wine=os.getenv("MT5_WINE", None), ), )

Load DataFeed data¶

In [3]:

data.bars_load(since=0, to=1000)
data

data.bars_load(since=0, to=1000) data

Out[3]:

	open	high	low	close	volume
datetime
2024-07-11 08:00:00+00:00	1.08365	1.08378	1.08345	1.08346	602
2024-07-11 09:00:00+00:00	1.08346	1.08397	1.08322	1.08341	1866
2024-07-11 10:00:00+00:00	1.0834	1.08402	1.08325	1.08396	2276
2024-07-11 11:00:00+00:00	1.08396	1.08479	1.08383	1.08474	1881
2024-07-11 12:00:00+00:00	1.08474	1.08528	1.08433	1.08468	2051
...	...	...	...	...	...
2024-09-06 19:00:00+00:00	1.10859	1.10859	1.10697	1.10769	4737
2024-09-06 20:00:00+00:00	1.10769	1.10894	1.10696	1.10848	3824
2024-09-06 21:00:00+00:00	1.10848	1.10869	1.10783	1.10861	3223
2024-09-06 22:00:00+00:00	1.10861	1.10896	1.10823	1.10885	2101
2024-09-06 23:00:00+00:00	1.10885	1.10886	1.10845	1.10855	1068

1000 rows × 5 columns

Plot¶

Init Plotly environment¶

In [4]:

import plotly.io as pio

pio.renderers.default = "notebook"
pio.templates.default = "plotly_dark"

import plotly.io as pio pio.renderers.default = "notebook" pio.templates.default = "plotly_dark"

Show¶

In [5]:

import plotly.graph_objects as go

fig = go.Figure(
    data=[
        go.Candlestick(
            x=data.index,
            open=data.open,
            high=data.high,
            low=data.low,
            close=data.close,
        )
    ]
)

fig.show()

import plotly.graph_objects as go fig = go.Figure( data=[ go.Candlestick( x=data.index, open=data.open, high=data.high, low=data.low, close=data.close, ) ] ) fig.show()