A Trader’s Shift from Chart Patterns to Statistical Options Strategies
Summary
This profile describes Mahesh Sangade’s path from banking and discretionary trading to full-time algorithmic trading. After years of testing strategies with small amounts of capital, he studied systematic trading, coding, statistics, and trade management. He says Python tools helped him scan market data and automate entries, exits, and stop losses that he sometimes missed while working.
His approach shifted from relying heavily on chart patterns and directional predictions toward options selling, including iron condors, butterflies, and vertical spreads. He assesses the probability of a spread expiring near certain levels and emphasizes managing trades according to plan. Technical analysis, including pivot points and central pivot range, remains a way to frame possible setups and key levels. The account is a personal career story, not a performance study: it provides no audited results or detailed rules for testing the strategies. Its claims about automation and discipline reflect the trader’s experience and should not be treated as evidence that a method will work for others.
Key ideas
- Testing strategies with small capital helped Sangade build experience before trading full time.
- He describes moving from chart-pattern trading toward statistical assessment of options spreads.
- His examples of options-selling strategies include iron condors, butterflies, and vertical spreads.
- He uses technical levels to help frame setups while relying on automated rules to manage trades.
- The interview emphasizes discipline and patience but provides no audited performance evidence.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.