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How to fetch historical data using kite connect
Algo Trading is a method of trading in the stock market where computer programs automatically place buy and sell orders based on pre-defined rules. These rules are created using mathematical models, technical indicators, or market conditions. Explanation Learn how to use the Zerodha Kite Connect API in Python to fetch historical stock data. This step-by-step guide explains each line of code Importing Required Libraries Change Working Directory Generate Trading Session Fetch All NSE Instruments Helper Function: Fetch Instrument Token Fetch Historical OHLC Data 1.instrument = fetchInstrument(instrument_df, ticker)→ Finds the instrument token for the stock. 2. kite.historical_data(...) 3. Converts the returned JSON data into a Pandas DataFrame. 4. data.set_index("date", inplace=True)→ Sets the…
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How to Calculate Simple Buy And Hold Strategy in Python
This Python script loads historical stock or index data (like the Nifty index) from a CSV file, processes it to calculate daily logarithmic returns, and visualizes both the raw prices and derived returns using plots and histograms. It then computes cumulative returns to simulate the performance of a long-term investment. Through the use of pandas, numpy, and matplotlib, it offers both numerical insights and clear visualizations to help analyze the asset’s behavior over time. 1.Importing Libraries 2. Reading the Data 3. Plotting the Data 4. Calculating Logarithmic Returns 5. Cleaning Data 6. Visualizing Returns 7. Cumulative Return Calculations 8. Adding and Plotting Cumulative Returns Example: full program to calculate stock…