SIP vs Lumpsum
SIP vs lumpsum in India: what the arithmetic says, what the behaviour says, and why the honest answer depends on where the money is coming from.
Practical, expert-written guides on algorithmic trading with Python, Demat accounts, F&O strategies, taxation, and everything else Indian traders care about.
SIP vs lumpsum in India: what the arithmetic says, what the behaviour says, and why the honest answer depends on where the money is coming from.
Index funds vs individual stocks in India: what the evidence says, what picking stocks actually requires, and why most people should hold index funds anyway.
The calendar spread explained for Indian markets: how selling near and buying far works, why it is a volatility position, and what weekly expiry does to it.
The covered call in India explained: how it works with worked numbers, the upside you sell, lot size and settlement realities, and when it is the wrong idea.
Corporate actions explained for Indian investors: what a split, bonus, dividend, rights issue and buyback actually do to your holding, your tax and your backtest.
How to read a cash flow statement: the three sections, why operating cash flow matters most, and the warning signs that a profitable company is not generating cash.
How to read a balance sheet before buying a share: what the three sections mean, the numbers that matter, and the India-specific items most guides leave out.
A trading journal that survives past three weeks: what to record, why the reason field matters most, how to review it, and what your broker already logs for you.
Hedging holdings with index futures in India: how the calculation works, what beta does to it, the real costs, and the cases where hedging is the wrong answer.
Swing trading in India: what the holding period changes, overnight gap risk, the cost advantage over intraday, and what a tested swing system needs.
Intraday trading in India: the cost arithmetic against small moves, why noise dominates short timeframes, and what an intraday system must handle to be viable.
How to structure a retail algo trading system: the five layers, what belongs in each, why the strategy should be the smallest part, and what to build first.