Summary of "My 2 Swing Trading Strategies which helped me DOUBLE my Portfolio in 6 Months!"
Finance-focused summary (markets, strategies, numbers, instruments)
Portfolio performance / account metrics (Zerodha)
- The speaker and wife (two Zerodha accounts) report:
- Booked profit: “around 1 crore” over the last 6 months.
- Equity (1 Apr to 18 Oct):
- Wife + speaker combined: Realized = 53.45, Unrealized = 1.89 (currency/units not explicitly stated; likely ₹ lakhs).
- Another account combined: Pay = 54.17, Net realized = 50.19, with Unrealized loss = 3.29 lakhs.
- They claim unrealized swings are controlled: main portfolio unrealized stays within about ±23% of account size due to profit booking.
Drawdown caution (F&O example):
- ₹5,000 in F&O was wiped out within a month after being previously up ₹67,000 from ₹5,000, then losing it due to one wrong trade.
Core swing-trading thesis (IPO-based + VCP / “tight range breakout”)
They describe a combined approach:
- VCP pattern (“Vertical/Volume Compression pattern”, often compared to cup-with-handle / multiple handles)
- Applied mainly to recent IPO / newly listed stocks for “quick outsized returns”.
VCP pattern rules (framework)
They follow a pattern framework:
- Identify a stock that shows:
- A prior down move from resistance, followed by
- Multiple “handles”/depths that get progressively shallower.
- Tightness must occur before breakout:
- Buyers prevent the stock from falling much lower.
- Risk management via trailing / moving average exits:
- They trail after entry using 21-day or 63-day EMA (timeframe chosen based on setup).
- Exit trigger logic (based on 21 EMA):
- If one red candle closes below the 21 EMA → don’t exit (it may recover next day).
- If there are two continuous red candles below 21 EMA → exit.
- They also reference level-based exits, e.g. “exit here at ₹747”, then re-enter after reclaiming 21 EMA.
IPO-based execution steps (as described)
- First entry:
- After/at the VCP breakout zone (their “first entry” is around where the setup forms).
- Top-up entry:
- When price breaks above listing-day / prior breakout level, then retests and buy more.
- Then trail using the EMA rules above.
Backtest / win-rate commentary (explicit numbers)
They discuss backtests with very different win rates:
- Setup A: win rate ~66%
- Setup B: win rate ~15%, but claimed to produce double the returns of Setup A.
Optimization vs churn:
- Example model: stop loss 5%, targets varied (e.g., 10%, 15%, etc.).
- They claim that even with ~40–60% win rates, CAGR can be very high in their scenario (example: 40% win rate → ~42% CAGR) only if capital is rotated ~4 times/month.
- They caution that frequent churn is hard with diversified portfolios:
- To churn 4 times/month, a portfolio of 20 stocks → ~80 trades/month (impractical).
- With 5 stocks, churn could mean ~20 trades/month.
Fundamental + valuation logic used for stock selection
They emphasize:
- Share price ≈ EPS × P/E
- P/E is sentiment-driven (not controllable).
- EPS is estimable (controllable via identifying growth).
- They screen for earnings/growth characteristics and re-rating potential using tools such as:
- Screener / business overview, e.g. example fundamental thresholds like:
- ROE > 20%
- ROC > 20%
- Screener / business overview, e.g. example fundamental thresholds like:
- For IPO candidates, they look for:
- Low starting P/E vs peers and ability for re-rating after unlocks
- Management guidance on revenue growth and margin expansion
Named stocks / companies / sectors mentioned
Direct stock mentions (with prices / valuation metrics)
-
Shakti Pumps (key long example)
- Listed: January 2025 (also stated it’s “not been very long since it was listed”)
- Initial identification / buying:
- Average buy around ₹30
- Also mentioned earlier first buying around ₹72 (in another segment)
- Claimed valuation: “25x” (relative appreciation context)
- Growth/margins:
- Management guidance of ~35% CAGR in revenue
- Margin expansion expected
- Business:
- “de-bulking”
- Import of gases/refrigerant
- Expansion planned into semiconductor gases
- P/E context:
- Around PE 16–18 during a period they attribute to ESM 2 liquidity/constraint
- Expected value unlocking after exit from ESM 2
- Scenario reason:
- “Mainboard company” → potential institutional buying
-
Yes Bank
- Cited as an example of a “falling knife” due to internal mistakes/negatives.
-
Titan / related name
- Mentioned as “Titaness Isent” (exact company/ticker unclear).
-
Sridev, Anandita
- Mentioned as examples they evaluated and did not fully prefer.
- Sridev description:
- Makes components like HWK systems for submarines
- Another company (possibly KNR) description:
- Makes heat exchangers
- Also referenced: HBOC systems for data centers and submarines
- Tickers were not provided.
Other instruments / indices (for sector rotation & allocation)
- NIFTY 50
- Small Cap 100 Index (main indicator for portfolio cycle)
- PSU Bank Index (example index for relative strength tracking)
- Gold and Nifty/Gold ratio
- They analyze Nifty vs Gold (USD) ranges and suggest:
- When ratio near lower channel → equity outperform gold
- When ratio near upper channel → gold outperform equity
- They analyze Nifty vs Gold (USD) ranges and suggest:
- Metals & Mining
- Rare earth / rare earth minerals
- Macro supply constraint theme; mentions China restricting exports
- Solar and power transmission / transformer stocks
- Previously identified as bull-market leaders
- Chemicals, Adani stocks
- Mentioned as leaders in an earlier bull market, but not the previous one
Sector leadership identification method (explicit process)
They argue each bull market has a new sector leader, and propose finding it when markets are sideways:
- In sideways regimes:
- Leaders keep making new all-time highs while many others stall.
- Workflow:
- Track industry/sector indices on charts (e.g., PSU Bank Index / TradingView sector indices).
- Check whether the sector shows relative strength vs Nifty / small caps.
- Apply fundamental screening on stocks in that industry.
- Use example criteria such as ROC > 20% and ROE > 20%.
- Read conference calls / annual PPTs.
- Use AI tools (they name Perplexity Finance and “Chat Zebit”) for macro tailwinds like rare earth.
Macro/cycle indicator: ROC (Rate of Change) with monthly timeframe
They use a market-cycle indicator based on ROC:
ROC indicator settings
- Nifty 50 version
- Length (end length): 18
- Timeframe: monthly
- Horizontal levels:
- 0 → buy aggressively near/at zero
- 45 → near “top/overvaluation”; reduce equity
- Small Cap 100 version
- Length: 20
- Timeframe: monthly
- Zero line remains buy zone; they mention sell at ~100 (suggesting level scaling differs)
Valuation logic they attach to ROC
- They cite earnings growth and EPS logic:
- Earnings growth average: ~12–15% per year (as stated for Nifty constituents)
- Later stated EPS growth implied ~22% over 18 months by their averaging logic.
- Interpretation:
- ROC hitting ~45 implies price growth ran ahead of earnings growth → “overvaluation-ish”
- ROC near 0 implies undervaluation / mean-reversion style setup
Allocation rule tied to ROC
- If ROC approaches 45:
- Reduce equity
- Move to gold / corporate bonds
- If ROC near 0:
- Go aggressive in equity
- Stop-loss trigger and allocation:
- If multiple stop losses hit (e.g., 5 stop losses), they only trade with 30–40% capital.
Additional allocation / relative performance switching
- They suggest using Nifty by Gold 20 (a TradingView ratio variant):
- In a range-bound cycle
- Near bottom channel → equity outperforms gold
- Near top channel → gold outperforms equity
- Example cited:
- The COVID low reportedly gave a signal consistent with gold underperforming, then reversing.
Disclosures / compliance
- No explicit “not financial advice” disclaimer appears in the subtitles.
Presenters / sources mentioned
- Shubham
- Speaker/primary contributor; described as running a webinar
- Formerly “Amazon US”
- Became a full-time investor after financial freedom at age 29
- Harsh
- Interviewer/host
- Hemant
- Additional participant/guest (thanked on stage)
- Mark Minervini
- Referenced for the VCP methodology logic
Category
Finance
Share this summary
Is the summary off?
If you think the summary is inaccurate, you can reprocess it with the latest model.
Preparing reprocess...