Video summary
25% CAGR for 12 Years... Here's Exactly How He Did it | Rakesh Pujara
Main summary
Key takeaways
Finance-focused summary of the subtitles
What the strategy is (Momentum + rule-based, technical-only)
- The presenter describes a rule-driven momentum investing approach built around the idea: “whatever is in momentum moves forward” (i.e., price trend continues in the same direction).
- They emphasize it is not fundamental-based after the stock universe is chosen:
- Fundamental filtering is described as “baked in” via index membership.
- Entries and exits are driven by technical indicators on weekly charts.
Key performance claims / results & risk metrics (explicit numbers)
TVS Motor example
- Price: ₹39 (2010) → ~₹4000 today
- Framing: “happened 1000 times” (used to illustrate riding winners)
Backtest “winners/losers” outcomes
- Average winner: ~+150%
- Average loser: ~-25% to -30%
- Implied risk-reward: ~1:5 to 1:6
- Claimed strike rate: ~52% (near coin-flip, but with asymmetric payoffs)
- Another (unclear wording) stat: first 95% were average winners and 16% were average losers (presented as distribution/edge evidence)
Model portfolio / live test claims
- Model portfolio return: >25%
- Cited across contexts like “last 3–4 years” and “last 2 years”
- Backtest: ~27–28% return with around ~25% drawdown
- Timeframe:
- “Test done for 12 years”
- Backtest starting 2011
- Live starting 2023
- Live performance:
- Since March 2023 described as evidence that live results are close to the backtest
- Live test duration cited as ~40 months
Market exposure / drawdown protection
- Target exposure: out of the market ~37% of the time (in-market ~63%)
- Crisis comparisons:
- During COVID, claim: mostly out by end of February
- During 2018–19 NBFC crisis, similarly described as mostly out
- Drawdown comparison:
- Index drawdown: ~35%
- Strategy drawdown: ~25%
Universe selection / stock pool rules (filters)
Starting universe
- NSE stocks:
- ~2000 stocks on NSE
- Presenter states they do not look at BSE-only penny/low-liquidity issues.
- Further universe constraint:
- Most portfolios are built around index membership:
- Nifty / NSE indices
- Specifically “NSE 500” or a total market index of 750 stocks (wording slightly inconsistent)
- Most portfolios are built around index membership:
- Rule described:
- If a stock is part of an index, that serves as an automatic fundamental filter.
- They avoid fundamental analysis and rely on technical momentum signals.
Portfolio size
- Target portfolio size: 25 stocks
- Reason: diversification beyond ~20–25 doesn’t add much and can increase volatility.
- They also state:
- You don’t need 500 stocks; you have 25 stocks available.
Entry methodology (step-by-step framework)
Indicators & chart timeframe
- Uses Bollinger Bands on a weekly chart (not daily).
- Standard Bollinger reference discussed, then optimized:
- Original: 20-week MA, ± 2 standard deviations
- Optimized (used since 2016):
- Middle band: 55-week moving average
- Upper band: 3.7 standard deviations
- They state they don’t use the lower band because they are focused on upside “extra momentum” conditions.
Scan timing & execution cadence
- Scan timing:
- After Friday close
- Execution:
- Trades placed Monday morning
- Cadence statement:
- “There is nothing to do from Monday to Friday.”
Signal logic (as described)
- A new position is created when the stock meets the Bollinger/momentum condition.
- Framing: they enter when the stock is outside the upper band (exact condition wording is implied).
- They also allow:
- Enter on the new signal, or
- Use backtested “old signals” to enter current positions at the current price.
Position sizing / allocation rules
- Allocation per stock:
- ₹1 lakh portfolio → ₹4000 per stock
- That equals 4% each
- With 25 stocks, the portfolio reaches 100% equity allocation when fully populated.
- Rebalancing policy (weight discipline):
- They stress: “4 taka means 4 taka for life time”
- Weight increases are allowed because winners rise by price action, not because of active rebalancing.
Exit / risk management rules (explicit)
They describe three exit conditions, with the idea of:
- Initial stop loss
- Then trailing stop loss
- Plus an ATR/volatility-based override to prevent overstaying if trailing logic lags during sudden bad news
Exit condition 1: Initial stop loss (time-based weekly close)
- Example:
- If bought at ₹100, and by the subsequent Friday close the price closes below 80, then sell on Monday.
- Described as a 20% initial stop loss.
Exit condition 2: Trailing stop loss (MA-based)
- Hold positions until the stock:
- Closes below its 34-week moving average
Exit condition 3: ATR-based volatility stop
- If news shocks cause price to fall faster than the MA trail allows:
- Use ATR as a volatility filter.
- ATR settings:
- ATR standard: 14 periods
- Optimized multiplier: 1.8 (“14 and 1.8”)
- Rule:
- If any of the three exit conditions triggers first, you exit.
Core “avoid mistakes” logic
- They argue investors commonly:
- stand in losses too long
- book profits too early
- The framework aims to:
- cut losers
- ride winners
Handling fewer than 25 qualifying stocks (deployment rule)
- If fewer signals qualify (e.g., 15 instead of 25):
- They say you do not increase allocation to those 15 by violating the 4% per-stock rule.
- Remaining unallocated portion (~60%) can be invested in:
- liquid
- gold
- silver (user preference)
- This supports the claim that the strategy can be out of the market ~37%.
Relative strength “gunpowder” / multi-layer protection (when using reserves)
- They note momentum strategies can be weak when market leadership changes.
- Secondary idea: add relative strength (RS):
- Identify sectors outperforming the market
- Then choose stocks outperforming within those sectors
- Purpose:
- Used in reserve / “gunpowder” allocation so the portfolio isn’t fully dependent on the main momentum equity sleeve.
- Example company name given:
- Naveen Fluorine (spelling inconsistent; likely “Navin Fluorine”)
- Presented as an example where sector strength drove large gains.
Performance interpretation / trade statistics claims
Trade/churn statistics
- Strike rate: 52%
- Trades:
- 375 trades over 15 years
- Definition:
- “One trade is equal to 4%” (selling/replacing one 4% sleeve)
- They mention that rebalancing can cause round trips / higher effective churn.
Holding duration stats (from winners/losers)
- Average winner holding duration: 86 weeks (~1.5–2 years)
- Average loser holding duration: 28 weeks (~< 6 months)
- Claimed implication:
- more long-term gains and shorter-term losses (presented as tax-efficient)
- No country-specific tax rules are cited.
Disclosures / disclaimers mentioned
- Explicit disclaimer:
- “whatever we mention here is not a buy or sell recommendation. We are speaking for example.”
Instruments / tickers / assets explicitly mentioned
Stocks / companies
- TVS Motor
- Example price: ₹39 → ~₹4000
- MTA Tech
- Buy signal cited at ₹2200, grew to 8500 in “three or four months”
- Naveen Fluorine / Navin Fluorine
- Used as an RS “gunpowder” example
- A “Bank” mentioned (name distorted; appears like “Binjjar Bank”, not confidently identifiable)
Indices / universe benchmarks
- NSE 500
- Total market index of 750 stocks
- Nifty 50 Momentum 20 (mentioned as an existing index concept)
Indicators / instruments
- Bollinger Bands
- Moving averages: 55-week MA, 34-week MA, 20-week MA (reference)
- ATR: 14-period, multiplier 1.8
- Defensive / parked assets: G-Sec, liquid, gold, silver, cash
Macro/market regimes
- COVID period
- 2018–19 NBFC crisis
Strategy “framework” checklist (condensed)
- Universe selection
- Use NSE index constituents (e.g., NSE 500 / total market index)
- Avoid BSE-only low-liquidity/penny stocks
- Entry
- Weekly scan after Friday close
- Enter Monday morning when price is beyond Bollinger upper band with:
- 55-week MA center
- upper band = 3.7 standard deviations
- Allow entry using new signal or “old backtest signal” at current price
- Position sizing
- 4% per stock (e.g., ₹4000 per ₹1 lakh)
- Target 25 stocks
- Do not increase allocation if fewer qualify
- Exit
- Sell on next Monday if:
- 20% initial stop via Friday close (e.g., ₹100 → close < ₹80)
- Friday close below 34-week moving average
- ATR-based condition:
- ATR(14) with multiplier 1.8
- Sell on next Monday if:
- Rebalancing policy
- Avoid regular rebalancing; rely on rule-based exits/entries
- Rebalance only when required by signals/extreme conditions
- Reserve / “gunpowder” overlay
- Use RS to allocate to outperforming sectors/stocks when equity momentum underperforms
- When out of market: use defensive assets (liquid/gold/silver/G-sec)
Presenters / sources mentioned
- Rakesh Pujara — Founder, Compound Wealth Advisors (CWA)
- Interviewer / host: Kunal
- Mentioned external researcher/trader:
- Nihatach / Nikach (Australian trader; name partially garbled)
- Platform mentioned:
- Get Prosper Club
- Organization naming (varies in subtitles):
- Compound Wealth Advisors (CWA) / “Compound Wise Advisors”
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