Complete Stock Market Training with Practical Approach

Open a Zerodha trading account by submitting PAN card, Aadhaar, income proof, and bank details. Complete OTP verification, Digilocker linkage, and e-sign to receive login credentials.

Open an ICICI Direct trading account by submitting PAN, Aadhaar, signature, linking bank and demat accounts, and complete KYC via Digilocker or Aadhaar with penny drop and e-sign.

Explore the ICICI Direct trading terminal, log in to view your portfolio, place delivery or intraday orders, and review the order book. Allocate funds by category and track positions.

Navigate Zerodha Kite's trading terminal to add scripts, view MarketWatch, access charts and market depth, and analyze fundamentals, technicals, and option chains on a feature-rich dashboard.

Acquire one ICICI Bank share on July 10, verify the trade via contract notes and emails, and confirm it is credited to your demat account for long-term or intraday trading.

Master stop loss orders to cap losses and secure profits using trigger prices, with intraday and cnc distinctions and the cover order that couples exit with entry.

Explore after-market and pre-market order types, multi-day orders, iceberg and delivery orders, plus margin and stop-loss options across brokers like Zerodha and ICICI Direct.

Derivatives, including futures and options, are risky and costly, with a 90% trader loss rate and a need for expert understanding and tested strategies.

Futures contracts overcome forward contract problems by standardizing quantity and dates, trading on regulated exchanges with margin and counterparty risk, and involving underlying assets, lot size, contract size, and expiry.

Explore how a zerodha contract note illustrates futures trading in derivatives, highlighting how a small price difference, lot size 400, and taxes and brokerage turn profits into losses.

Understand expiry settlement: buyers pay the settlement price and sellers deliver shares or gold. Indices settle in cash, and near expiry traders roll over.

Explore options, including call and put options, as derivatives. An apartment example shows how a five lakh rupees non-refundable surety creates leverage and exposes buyers and sellers to expiry outcomes.

Learn how stock options work, including underlying, strike price, premium, and expiry, and distinguish call and put options with a concrete Infosys example.

Explore how put options provide a right to sell at a strike price by paying a premium, and examine profit, loss, and breakeven scenarios at expiry.

Learn how selling an option requires higher margin due to unlimited risk, while buying options keeps risk limited, and how put and call hedging protects positions using real Infosys examples.

Explore the option chain concept with strike prices for Infosys, detailing call and put options, moneyness, ATM, in the money, and out of the money.

Compute the MACD by subtracting the 12-day fast EMA from the 26-day slow EMA, and plot a 9-day signal line. Identify bearish and bullish crossovers as trend reversals.

Learn how Bollinger bands measure volatility, using a 20-day simple moving average with upper and lower bands two standard deviations away, identifying overbought and oversold signals.

Measure market volatility with the average true range, comparing it to Bollinger bands, by computing true range and applying a 14-day exponential moving average.

Compute the supertrend in Google Sheets by calculating true range and seven-period ATR with an exponential moving average, then derive basic upper and lower bands and identify trend reversals.

Apply Python to compute the supertrend using ATR with a 7-period range and a 3 multiplier, determine final and basic upper bands, and visualize trends with Plotly.

Calculate Renko brick size with ATR and visualize Renko charts using the finance library built on matplotlib, plotting Nifty data and coloring bricks green or red.

Harvest insights from annual and quarterly reports to assess financial health, strategy, and risks using balance sheets, income statements, cash flow, and management discussion and earnings calls.

Set up data science environment with Anaconda, creating separate Python environments for projects like Kite Connect. Install and use Jupyter Notebook and Spyder to manage libraries on Mac or Windows.

Launch and use Jupyter Notebook to write, run, and organize code with cells and markdown, then explore Spider and MySQL server for databases and SQL queries.

download historical ohlc data across intervals from 5 minutes to daily using the historical api addon, with token conversion. fetch 100-day chunks and save to a database or csv.

Download live tick data with the kite ticker library in Python, login via Kite Connect, and fetch instrument tokens for symbols like Nifty 50, Infy, and TCS.

Learn how emotions drive trading decisions and how to cultivate emotional maturity and serenity. Develop awareness, acceptance, and action to detach from impulsive moves and improve stock market outcomes.

Explore how the brain processes information. Filter input through selective attention and use inference and heuristics to form biases like delete, distort, and generalize in decision making.

Understand how probabilities guide better investing decisions by examining base rates and risks, as the likelihood of consistently making money in stock trading remains very low.

Explore loss aversion as a key of prospect theory, where fear of losses outweighs gains. Learn how System 1 and System 2 drive risk and trading choices.