goldhand 15.10

A package working with financial data

class Backtest: """ The Backtest class represents a simulation of a trading strategy on historical data.

Attributes:
    strategy (Strategy): The trading strategy to be backtested.
    data (pd.DataFrame): The historical data used for the backtest.
    capital (float): The initial capital for the backtest.
"""

def __init__(self, strategy, data, capital):
    """
    Initializes a new instance of the Backtest class.

    Args:
        strategy (Strategy): The trading strategy to be backtested.
        data (pd.DataFrame): The historical data used for the backtest.
        capital (float): The initial capital for the backtest.
    """
    self.strategy = strategy
    self.data = data
    self.capital = capital

def run(self):
    """
    Runs the backtest using the specified strategy and data.

    Returns:
        pd.DataFrame: The results of the backtest, including performance metrics.
    """
    # Implementation details...
    pass

Goldhand

The ultimate python package to work with stock and crypto data

pip install goldhand

TradingView

from goldhand import *

# tradingView data
tw = Tw()

# data frame of the stocks 
tw.stock

# data frame of the top 300 crypto currency
tw.crypto

# data frame of the top 3000 etf
tw.etf

# Get a plot of the stock to see the location in the sector 
tw.get_sec_plot('AMD').show()

# Get a plot of the stock to see the location in the industry 
tw.get_sec_plot('AMD').show()

Goldhand class

The GoldHand class is a part of the goldhand Python package, which provides functionality for working with stock and crypto data. This class allows users to retrieve detailed information and charts for a specific stock.

# Get a detailed chart of a stock AMD
ticker = "AMD"
t = GoldHand(ticker)
t.df.tail().T

# Get a detailed chart of a stock AMD
ticker = "TSLA"
t = GoldHand(ticker)
t.plotly_last_year(tw.get_plotly_title(ticker)).show()

## Stock Chart

# Get a detailed chart of a crypto
ticker = "BTC-USD"
t = GoldHand(ticker)
t.plotly_last_year(tw.get_plotly_title(ticker)).show()

GoldHand Line indicator

ticker = "TSLA"
t = GoldHand(ticker)
t.plot_goldhand_line(tw.get_plotly_title(ticker)).show()

Backtest

The Backtest class is a powerful tool for evaluating the performance of trading strategies using historical data. It allows you to simulate trades and calculate various performance metrics to assess the profitability and risk of your strategy.

It takes a data and a function and display the trades.