This Will Change Your Trading Forever | Hitesh Nanwani | Market Sangam 3.0 #MarketSangam3 #trading

Finance-focused summary (markets / investing / trading)

Presenter & context

• Hitesh Nanwani (a SEBI-registered research analyst; license mentioned as obtained Aug 2025) discusses trading psychology for Indian markets.
• He explicitly states he wants to avoid heavy technical content (charts/technical analysis/SMC/option chain).
• He mentions experience with options trading and says he learned option selling after an initial 1.5-year loss period.
• He references earlier periods when option premiums were lower, mentioning a ₹7k–₹8k range for “lots” (as stated).

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Core message: trading psychology over strategy

He frames the session as a set of psychology problems and fixes, not a step-by-step market system.

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1) Losses are not accepted (and why)

Problem

• Biggest sorrow: losses are not emotionally accepted, which leads to:
  • weak risk control
  • reluctance to respect stop-loss

Causes (two biggest reasons)

• Capital at risk is not truly “yours”
  • examples: loan money, business money, family money, EMI pressure
• Pressure about life growth / responsibilities
  • needing to “make money back” to move forward

Additional reinforcement

• Losses are inevitable (he implies the market may run like 70%–80%, not 100%).
• Yet traders struggle to accept losses even over short windows (he mentions even for three days).

Solutions

• Trade only with capital you can truly afford to lose
  • avoid loans and pressure money
• Consider part-time trading to reduce emotional strain
  • he gives a conceptual example of investing a small monthly amount like ₹25/month
  • references gradual savings growth (e.g., ₹300 saved over 2 years as a mindset example)
• Psychological upgrade: once you are mentally ready to lose money, it becomes easier to follow loss rules.

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2) Not able to hold profits (profit-taking fear tied to loss fear)

Problem

• Traders don’t hold gains because they’re mentally trying to recover yesterday’s loss.
• Profit feels temporary; fear grows when P&L can reverse.

Guidance / framework

• If you’re not afraid of future loss, you can hold profit longer.
• He discusses an implied cycle of:
  • small loss / small profit vs big loss / big profit
• A later simplification he mentions:
  • Small loss, Big profit, Small profit
  • he claims that small profits happen more often, while big profits happen less often, but big profits can still drive monthly returns

Nifty options example (as stated)

• He references Nifty losing ~15 points during a live example.
• He says he would aim for profit with stop-loss around 15–20 points, and claims an outcome of 1:3 (ratio mentioned).
• He also notes normal holds like 70–80 points in Nifty in his routine example (timing context as stated).

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3) Position sizing / lot sizing drives panic & overtrading

Problem

• Emotions are driven by how much money your P&L swings for a given market move.

Key rule he stresses

• Choose lot size based on your emotional capacity
  • so price movement doesn’t cause panic or euphoria

Tension analogy (as stated)

• If you panic at a ₹10,000 swing, you’ll panic more with higher sizing.

Important specifics he mentions

• Nifty move to rupee mapping (as stated):
  • “When one lot of Nifty goes up by 10 points, ₹650 moves up/down”
• Stop-loss reference:
  • example framing includes 25 points (e.g., “₹1200 will be spent” style framing—exact rupee figure varies in the subtitles)

Strategy caution

• Don’t change lots impulsively based on premium
  • example warning: “premium 80 in the morning so I took four… premium 20 then I bought 16 lots. do not do it.”
• He insists on fixed lot size, increasing gradually instead of jumping.

Gradual scaling method (step-by-step style)

• Increase lots only after your mind adapts
  • if you can tolerate ₹1000 profit/loss swings for two months, then scaling may later allow ₹2500–₹3000 fluctuations (as he suggests)
• Scaling should be one step at a time, not multi-step jumps.

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4) Execution: reduce outcome-pressure and ego

Problem

• Execution breaks down when traders over-focus on the result.

Training method

• Lower expectations and treat trades like routine practice, not high-stakes judgment.
• Badminton analogy:
  • pressure feels high only when money/ego/result becomes significant
• He claims execution improves when you stop thinking about profit/loss moment-to-moment—making execution more automatic.

Practical caution

• After a small loss, traders may “forget” what they know; the remedy is:
  • lower expectations
  • return to process

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5) “Value of money” to avoid overtrading and impulsive behavior

Core idea

• Traders may treat digital P&L as less “real” than physical cash, leading to:
  • overtrading (too many trades; brokerage drain)
  • accepting losses without seriousness
  • not protecting capital

Examples / numbers (as stated)

• He emphasizes brokerage/cost impact:
  • mentions brokerage of around ₹500 in an example (subtitle details are garbled, but the brokerage-cost point is clear)
• He contrasts:
  • valuing ₹500 in hand more than money in demat/trading account

Recommendation

• Accept small losses
• Avoid excessive trade count
• Don’t fully devalue trading capital.

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Instruments / market references explicitly mentioned

• Nifty (index)
  • multiple point references: ~15 points, 70–80 points, and example mentions like 50 points targets and 25 points stop-loss framing
• Nifty options
• Option selling / option buying / hedging
• Demat / trading account (where the “capital feeling less real” issue occurs)

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Key numeric values and claims (as stated)

• ₹10,000: emotion-affecting swing example
• ₹40–50 lakh: family loan pressure anecdote (as mentioned)
• ₹7,000–₹8,000: earlier option-selling “lots available” price range (contextual)
• ₹50,000: example profit amount that can still trigger loss-recovery mindset
• 15–20 points: stop-loss style reference
• 1:3: ratio claim when SL 15–20 points is cut (as stated)
• 70–80 points: typical Nifty trade hold in his example routine
• 10 points = ₹650 per lot (as stated)
• 25 points: stop-loss reference in an example
• Premium sizing warning:
  • “premium 80… four… premium 20… bought 16 lots. do not do it.”
• Part-time / process examples:
  • ₹25/month
  • ₹300 saved over 2 years

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Disclosures / disclaimers

• He states he is SEBI registered and references rules related to how he can present claims/winning rate.
• A standard “not financial advice” line is not explicitly shown in the provided subtitles, though compliance is implied through the SEBI-registered context.

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Methodology / framework (psychology + risk/positioning oriented)

• Loss-acceptance framework

  • Diagnose why losses aren’t emotionally accepted (capital source + responsibilities)
  • Use only capital you can truly lose; avoid loans
  • Prefer part-time trading if you need income stability

• Profit-holding framework

  • Don’t treat profit as a tool to recover prior losses
  • Keep losses small enough to reduce fear and allow profits to run
  • Use the cycle logic: small loss / big profit / small profit

• Lot-sizing framework

  • Set lot size so P&L swings are emotionally tolerable
  • Keep fixed lot size (avoid multiplying lots due to changing option premium)
  • Scale gradually after adaptation to baseline fluctuations (e.g., ~₹1000 swings tolerated for a period)

• Execution framework

  • Lower expectations and remove ego/outcome fixation
  • Improve execution by treating trades like normal practice

• Overtrading / money-value framework

  • Re-train perception: digital P&L must be treated with the same seriousness as cash
  • Avoid excessive trades that amplify brokerage drain and impulse

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Key presenters / sources

• Hitesh Nanwani (SEBI registered research analyst; main speaker)
• Mentions “Pushkar Raj Sir” (referenced for saying “four things: small loss, small profit, big loss, big profit”—no additional details provided)