Stock Technical Analysis

FinTA (Financial Technical Analysis)

FinTa (Financial Technical Analysis): Easily plot common financial technical indicators!

• Feed-in your OHLCV (Open, High, Low, Close, Volume) pandas dataframe and plot away!

• Supports 80 technical indicators! Including various moving averages, MACD, RSI, Bollinger Bands, Buy/Sell pressure, etc.

• Full list of supported indicators on the Github page.

🌟 Github: https://github.com/peerchemist/finta

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# Imports
from finta import TA
import pandas as pd
pd.options.plotting.backend = "plotly"

# Load the data
df = pd.read_csv("data/stock_technical_analysis/aapl.csv")
df["Date"] = pd.to_datetime(df["Date"])
df = df.sort_values("Date").set_index("Date")

print(df.shape)
df.head(2)

(504, 6)

	Open	High	Low	Close	Adj Close	Volume
Date
2018-08-08	206.050003	207.809998	204.520004	207.250000	201.371887	22525500
2018-08-09	209.529999	209.779999	207.199997	208.880005	202.955643	23492600

# 7, 50, 100 day moving averages
for num_days in [7, 50, 100]:
    df[f"sma_{num_days}"] = TA.SMA(df, num_days)
    
# bollinger bands
df = df.join(TA.BBANDS(df))

# Plot
cols_to_plot = ["sma_7", "sma_50", "sma_100", 
                "BB_UPPER", "BB_MIDDLE", "BB_LOWER"]
df[cols_to_plot].plot()