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Algotest Option Selling System
(Backtested with 0.8% slippage)
Capital Required= 12L
Avg monthly ROI= 5.6%
Max loss= 1.1%
Drawdown less than 2%
If interested then ping me- wa.link/b6cytl
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๐จ ๐๐๐๐ ๐๐ฃ๐ข โ ๐๐ฎ๐๐ ๐๐ฎ๐ ๐๐น๐ฒ๐ฟ๐ (๐๐ฎ๐ป ๐ญ๐ฏ, ๐ฎ๐ฌ๐ฎ๐ฒ)
59.22x subscribed โ retail at 38.77x! ๐ฅ
๐๐ผ๐บ๐ฝ๐ฎ๐ป๐ ๐ค๐๐ถ๐ฐ๐ธ ๐๐ถ๐๐
- Coal India subsidiary (58.5% coking coal share)
- 34 mines, ~7,910 Mn tonnes reserves
- Key for steel/power sectors
๐๐ฃ๐ข ๐๐๐๐ฒ๐ป๐๐ถ๐ฎ๐น๐
- Open: Jan 9โ13 (closes TODAY!)
- Price: โน21โโน23
- Lot: 600 shares โ โน13,800 (retail)
- Size: โน1,071 Cr (100% OFS)
- Allotment: Jan 14 | Listing: Jan 16
Financials (โน Cr)
| Year/Period | Revenue | PAT |
|--------------|---------|-------|
| FY23ย ย ย ย | 13,019 | 665 |
| FY24ย ย ย ย | 14,653 | 1,564 |
| FY25ย ย ย ย | 14,402 | 1,240 |
| H1 FY26ย ย | 6,312 ย | 124 |
Stable revenue; strong EBITDA (16%+ margins).
๐๐ ๐ฃ (๐๐ต๐ถ๐๐๐ผ๐ฟ๐ด๐ฎ๐ฟ๐ต โ ๐๐ ๐ผ๐ณ ๐๐ฎ๐ป ๐ญ๐ฏ ๐ญ๐ฃ๐ )
โน10โโน11 โ Est. listing โน33โโน34 (+43โ48%)
Lot gain: ~โน6,000โโน6,600
Valuation
P/BV 1.84x โ undervalued vs. Coal India (3โ4x).
Analyst Take
"Subscribe long-term" โ steel boom tailwinds.
Risks: Coal volatility, regs.
Upside: Reserves + PSU backing.
#BCCLIPO #IPO2026 #CoalIndia #ThetaCapitals
357
"๐ฆ๐ฒ๐ฐ๐๐ผ๐ฟ ๐ฅ๐ผ๐๐ฎ๐๐ถ๐ผ๐ป ๐ฆ๐ผ๐๐ป๐ฑ๐ ๐ฆ๐บ๐ฎ๐ฟ๐ โ ๐๐๐ ๐๐ฎ๐๐ฎ ๐ฆ๐ต๐ผ๐๐ ๐๐ ๐จ๐๐๐ฎ๐น๐น๐ ๐๐ฎ๐ถ๐น๐ ๐ฅ๐ฒ๐๐ฎ๐ถ๐น ๐๐ป๐๐ฒ๐๐๐ผ๐ฟ๐"๐
Everyone loves timing sectors: IT today, Pharma tomorrow, PSU next month.
๐ฅ๐ฒ๐ฎ๐น๐ถ๐๐ ๐ฐ๐ต๐ฒ๐ฐ๐ธ ๐ณ๐ฟ๐ผ๐บ ๐ต๐ถ๐๐๐ผ๐ฟ๐ถ๐ฐ๐ฎ๐น ๐ฑ๐ฎ๐๐ฎ:
No retail investor consistently outperforms by rotating sectors.
Average sector fund underperforms broad indices over 5+ years (CRISIL data)
Top-performing sector last year is often bottom next year (e.g., PSU funds 2023โ2024 vs 2025 YTD)
๐๐ฎ๐ฟ๐ฑ ๐ป๐๐บ๐ฏ๐ฒ๐ฟ๐:
Nifty 50 (broad market): ~14% CAGR (10 years)
Average sectoral/thematic fund: ~11โ12% CAGR (with higher volatility)
Success rate of timing sectors correctly twice in a row: <20% (even pros struggle)
๐ช๐ต๐ฎ๐ ๐ฎ๐ฐ๐๐๐ฎ๐น๐น๐ ๐ฏ๐ฒ๐ฎ๐๐ ๐๐ต๐ฒ ๐บ๐ฎ๐ฟ๐ธ๐ฒ๐ ๐ผ๐๐ฒ๐ฟ ๐๐ถ๐บ๐ฒ:
Stay invested in diversified equity (Nifty 500 or flexi-cap)
Let fund managers or indices handle rotation
Rebalance once a year โ donโt chase yesterdayโs winner
Sector rotation feels exciting.
Staying disciplined wins quietly.
#SectorRotation #InvestingStrategy #LongTermInvesting #ThetaCapitals
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"๐ช๐ต๐ ๐ต๐ฌ% ๐ผ๐ณ ๐๐ฎ๐ฟ๐ด๐ฒ-๐๐ฎ๐ฝ ๐๐ฐ๐๐ถ๐๐ฒ ๐๐๐ป๐ฑ๐ ๐๐ฎ๐ถ๐น ๐๐ผ ๐๐ฒ๐ฎ๐ ๐ก๐ถ๐ณ๐๐ ๐ฑ๐ฌ" ๐
Fact: Over the last 10 years, only 8โ12% of large-cap active mutual funds in India have consistently beaten the Nifty 50 Total Return Index (SPIVA India Report).
๐๐ฒ๐ ๐ฟ๐ฒ๐ฎ๐๐ผ๐ป๐ (๐ฏ๐ฎ๐ฐ๐ธ๐ฒ๐ฑ ๐ฏ๐ ๐ฑ๐ฎ๐๐ฎ):
High expense ratios (1โ1.5%) eat 1โ2% returns annually
Large-cap universe is efficient โ alpha is hard to generate consistently
Cash holdings during bull runs drag performance
Mean reversion: Top funds of one cycle underperform the next
๐ฃ๐ฟ๐ผ๐ผ๐ณ (๐ญ๐ฌ-๐๐ฒ๐ฎ๐ฟ ๐ฑ๐ฎ๐๐ฎ):
Nifty 50 TRI: ~14.2% CAGR
Average large-cap fund: ~13.1% CAGR
Only 1 in 10 funds beat the index after fees
๐ฆ๐ถ๐บ๐ฝ๐น๐ฒ ๐๐ผ๐น๐๐๐ถ๐ผ๐ป ๐๐ต๐ฎ๐ ๐๐ผ๐ฟ๐ธ๐:
Switch 70โ80% of large-cap allocation to low-cost Nifty 50/Nifty 100 index funds (expense ratio <0.2%).
Keep 20โ30% in 2โ3 proven active funds for potential alpha.
Stop paying high fees for benchmark-hugging performance.
#MutualFunds #IndexInvesting #ActiveVsPassive #ThetaCapitals
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"๐ง๐ต๐ฒ ๐ฒ๐ฌ/๐ฐ๐ฌ ๐ฃ๐ผ๐ฟ๐๐ณ๐ผ๐น๐ถ๐ผ ๐๐ ๐๐ฒ๐ฎ๐ฑ ๐ถ๐ป ๐๐ป๐ฑ๐ถ๐ฎ โ ๐๐ฒ๐ฟ๐ฒโ๐ ๐ช๐ต๐ฎ๐ ๐๐ฐ๐๐๐ฎ๐น๐น๐ ๐ช๐ผ๐ฟ๐ธ๐ ๐ถ๐ป ๐ฎ๐ฌ๐ฎ๐ฑ"๐
For decades, global investors swore by 60% equity + 40% bonds.
In India? This classic allocation has underperformed pure equity for the last 15 years.
๐๐ฎ๐ฐ๐๐ (๐ฎ๐ฌ๐ฌ๐ตโ๐ฎ๐ฌ๐ฎ๐ฐ ๐ฑ๐ฎ๐๐ฎ):
Nifty 50 TRI: ~13.8% CAGR
10-Year G-Sec: ~7.5% CAGR
60/40 Blend: ~11.2% CAGR (dragged down by low bond yields)
With Indian bond yields stuck at 6.5โ7.5% and inflation at 4โ6%, fixed income barely beats inflation after tax.
๐๐ฒ๐๐๐ฒ๐ฟ ๐ฎ๐น๐๐ฒ๐ฟ๐ป๐ฎ๐๐ถ๐๐ฒ๐ ๐ณ๐ผ๐ฟ ๐๐ป๐ฑ๐ถ๐ฎ๐ป ๐ถ๐ป๐๐ฒ๐๐๐ผ๐ฟ๐ ๐ถ๐ป ๐ฎ๐ฌ๐ฎ๐ฑ:
70โ80% Equity + 20โ30% Debt (for moderate risk)
Gold/REITs/InvITs (5โ10%) for true diversification โ gold delivered 11% CAGR over 20 years
Liquid/Short-duration funds over long bonds for better liquidity & yield
The old 60/40 worked when bonds gave 10โ12%.
Today? Itโs a return killer in a growing economy like India.
Time to rethink your asset allocation.
#AssetAllocation #InvestingIndia #PersonalFinance #ThetaCapitals
๐จ ๐ ๐ฒ๐ฒ๐๐ต๐ผ ๐๐ฃ๐ข ๐๐น๐ฒ๐ฟ๐: ๐๐ป๐ฑ๐ถ๐ฎโ๐ ๐-๐๐ผ๐บ๐บ๐ฒ๐ฟ๐ฐ๐ฒ ๐๐ถ๐ฎ๐ป๐ ๐ถ๐ ๐๐๐ฉ๐ โ ๐ฆ๐๐ฏ๐๐ฐ๐ฟ๐ถ๐ฏ๐ฒ ๐๐ฒ๐ณ๐ผ๐ฟ๐ฒ ๐๐ฒ๐ฐ ๐ฑ! ๐ฑ๐ฅ
๐ Day 2 (Dec 4) and the IPO is already ๐ฏ.๐ฐ๐ด๐
๐๐๐ฏ๐๐ฐ๐ฟ๐ถ๐ฏ๐ฒ๐ฑ โ retail at ๐ฑ๐
!
If youโre looking for the next big social-commerce play, hereโs everything you need in one clean post:
๐๐ผ๐บ๐ฝ๐ฎ๐ป๐ ๐ฆ๐ป๐ฎ๐ฝ๐๐ต๐ผ๐
- Founded 2015 by Vidit Aatrey & Sanjeev Barnwal (IIT-D grads)
- 234M+ annual transacting users | 7L+ sellers | 1.83B orders (last 12 months)
- Zero-commission model for sellers โ loved in Tier 2/3+ India
- Backed by SoftBank, Prosus, Meta, Peak XV
๐๐ฃ๐ข ๐๐ฒ๐๐ฎ๐ถ๐น๐
- Open: Dec 3โ5, 2025
- Price Band: โน105โโน111
- Lot Size: 135 shares โ โน14,985 (retail)
- Issue Size: โน5,421 Cr (Fresh โน4,250 Cr + OFS โน1,171 Cr)
- Allotment: Dec 8 | Listing: Dec 10 (BSE+NSE)
๐๐ถ๐ป๐ฎ๐ป๐ฐ๐ถ๐ฎ๐น๐ (โน ๐๐ฟ)
| Yearย ย ย ย | Revenue | Profit/Loss |
|---------- -|-----------|-------------|
| FY23ย ย ย ย | 5,735ย ย | -1,671ย ย ย |
| FY24ย ย ย ย | 7,615 ย ย | -328ย ย ย ย |
| FY25ย ย ย ย | 9,390ย ย | -3,942ย ย ย |
| H1 FY26ย ย | 5,578 ย ย | -701ย ย ย ย |
Revenue โ 23% YoY | GMV ~โน50,000 Cr+ | Positive free cash flow in FY24
๐๐ฟ๐ฒ๐ ๐ ๐ฎ๐ฟ๐ธ๐ฒ๐ ๐ฃ๐ฟ๐ฒ๐บ๐ถ๐๐บ (๐๐ต๐ถ๐๐๐ผ๐ฟ๐ด๐ฎ๐ฟ๐ต โ ๐๐ฒ๐ฐ ๐ฐ)
- GMP: โน46 (โ from โน42 yesterday)
- Est. Listing: โน157 โ +๐ฐ๐ญ% ๐ฝ๐ฟ๐ฒ๐บ๐ถ๐๐บ
- Expected lot gain: ~โน6,210
๐ฉ๐ฎ๐น๐๐ฎ๐๐ถ๐ผ๐ป
5.3ร FY25 P/S โ cheaper than Nykaa (6x+), Blinkit (10x+)
Risks: Competition (Myntra, Amazon), path to profitability.
Upside: Tier 2/3 dominance + zero-commission moat.
Apply via ASBA/UPI on Zerodha, Groww, or any bank before tomorrow 5 PM!
#MeeshoIPO #IPO2025 #EcommerceIndia #Investing #ThetaCapitals
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"๐ฃ๐ฎ๐๐ ๐ฃ๐ฒ๐ฟ๐ณ๐ผ๐ฟ๐บ๐ฎ๐ป๐ฐ๐ฒ ๐๐๐ฎ๐ฟ๐ฎ๐ป๐๐ฒ๐ฒ๐ ๐๐๐๐๐ฟ๐ฒ ๐ฅ๐ฒ๐๐๐ฟ๐ป๐" โ The #1 Lie 95% of Investors Still Believe ๐ฑ
Youโve seen it on every mutual fund ad (in tiny font at the bottom):
โPast returns are no guarantee of future performance.โ
Yet every single day we meet people who treat last 3-year returns as a crystal ball.
Sharing below a mid-cap fund's historical performance:
- 2017โ2020 โ +4% CAGR (dead money for 3 years)
- 2020โ2023 โ 38% CAGR (everyone looked like a genius)
- Last 1 year โ โ8%
Exactly the same fund. Same manager. Same โstrategyโ.
Just different market cycles.
Here are 4 funds that gave 30%+ CAGR from 2020โ2024 and are now in the bottom quartile in 2025 YTD:
- Quant Small Cap
- Nippon India Small Cap
- HDFC Mid-Cap Opportunities
- Kotak Emerging Equity
All legendary names. All crushed the market for 4 years straight.
All are now negative or flat while Nifty is +12% in 2025.
๐ง๐ฟ๐๐๐ต ๐ฏ๐ผ๐บ๐ฏ:
Top-performing funds of the last cycle almost always become average or bottom performers in the next cycle.
Itโs not bad management โ itโs simple mean reversion + style rotation.
๐ช๐ต๐ฎ๐ ๐ฎ๐ฐ๐๐๐ฎ๐น๐น๐ ๐๐ผ๐ฟ๐ธ๐ (๐ฝ๐ฟ๐ผ๐๐ฒ๐ป ๐ผ๐๐ฒ๐ฟ ๐ฏ๐ฌ ๐๐ฒ๐ฎ๐ฟ๐):
- Invest in consistent, boring funds (12โ15% rolling returns across 5-7-10 years)
- Ignore the โhottest fund of the yearโ list
- Rebalance once a year
- Let time + discipline do the rest
Past performance is comfort food โ it feels good but doesnโt nourish long-term wealth.
#InvestingMyths #MutualFunds #WealthCreation #ThetaCapitals
262
๐ณ๐ด ๐ฆ๐๐ผ๐ฐ๐ธ๐ ๐ถ๐ป ๐๐ถ๐ ๐ฃ๐ผ๐ฟ๐๐ณ๐ผ๐น๐ถ๐ผโฆ ๐ฎ๐ป๐ฑ ๐ฏ๐ฑ% ๐ฐ๐ฎ๐ฝ๐ถ๐๐ฎ๐น ๐ถ๐ป ๐๐๐๐ ๐ง๐ช๐ข ๐ผ๐ณ ๐ง๐ต๐ฒ๐บ! ๐ฑ
Last week we sat down for coffee with a client who manages his own โน1 Crore portfolio.
He opened his demat app with a big smile:
โIโm fully diversified โ I own 78 different stocks!โ
We started scrolling
Top 2 positions โ 35% of the entire portfolio
Next 8 โ another 42%
Bottom 40 stocks โ less than 0.6% weight each (some were โน8,000 positions in a โน1 Cr book)
In reality:
โ He was running a concentrated 10-stock portfolio
โ While paying extra brokerage, taxes, and mental load on 78 names
โ And believing the big number made him โsafeโ
We spent the next hour doing a complete portfolio cleanup (heโs happy for us to share the transformation):
๐๐ฒ๐ณ๐ผ๐ฟ๐ฒ
โข 78 stocks
โข Top 10 = 77% of capital
โข 40 tiny positions = pure noise
โข Heavy sector overlap
โข Almost zero cash
๐๐ณ๐๐ฒ๐ฟ
โข 19 high-conviction stocks + Nifty Bees
โข No single stock >9%
โข Top 10 = 68% (capped & balanced)
โข Nifty Bees = 20% (instant clean 50-stock exposure)
โข 12% cash for opportunities
He looked at the new allocation and said:
โFinally feels like I actually own my money โ not the other way around.โ
Key takeaway (we say this every week, yet most ignore it):
๐๐ถ๐๐ฒ๐ฟ๐๐ถ๐ณ๐ถ๐ฐ๐ฎ๐๐ถ๐ผ๐ป ๐ถ๐ ๐ก๐ข๐ง ๐ฎ๐ฏ๐ผ๐๐ ๐ผ๐๐ป๐ถ๐ป๐ด ๐ฎ๐ ๐บ๐ฎ๐ป๐ ๐๐๐ผ๐ฐ๐ธ๐ ๐ฎ๐ ๐ฝ๐ผ๐๐๐ถ๐ฏ๐น๐ฒ.
it only makes your broker richer.
๐ฅ๐ฒ๐ฎ๐น ๐ฑ๐ถ๐๐ฒ๐ฟ๐๐ถ๐ณ๐ถ๐ฐ๐ฎ๐๐ถ๐ผ๐ป = 15โ20 quality names you truly understand + broad index exposure for the rest.
If your portfolio has more than 25 stocks and you canโt explain every position in one sentenceโฆ
Then you donโt own a portfolio.
Seeing too many stocks in your own list?
Drop โREVIEWโ in the comments or DM us โ weโll do a free, no-strings portfolio health check.
#DiversificationDoneRight #InvestingSmart #ThetaCapitals
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๐จ ๐ ๐๐๐๐ฎ๐น ๐๐๐ป๐ฑ ๐ ๐๐๐ต ๐ง๐ต๐ฎ๐ ๐ต๐ฌ% ๐ผ๐ณ ๐ก๐ฒ๐ ๐๐ป๐๐ฒ๐๐๐ผ๐ฟ๐ ๐ฆ๐๐ถ๐น๐น ๐๐ฒ๐น๐ถ๐ฒ๐๐ฒ โ ๐๐ป๐ฑ ๐๐โ๐ ๐๐ผ๐๐๐ถ๐ป๐ด ๐ง๐ต๐ฒ๐บ ๐๐ฎ๐ธ๐ต๐!
โBuy funds with LOW NAV โ theyโre cheaper and will grow faster!โ
Youโve heard this from uncles, WhatsApp forwards, and even some agents.
Truth: This is 100% nonsense. NAV has ZERO impact on future returns.
NAV is just an accounting number โ like splitting the same pizza into more slices. The size of the pizza (your actual returns) stays exactly the same.
A fund with โน800+ NAV usually got there because it delivered strong returns for 10โ15 years.
A fund with โน20โ30 NAV is either brand new or has been average.
๐ช๐ต๐ฎ๐ ๐ฎ๐ฐ๐๐๐ฎ๐น๐น๐ ๐บ๐ฎ๐๐๐ฒ๐ฟ๐ ๐๐ต๐ฒ๐ป ๐ฐ๐ต๐ผ๐ผ๐๐ถ๐ป๐ด ๐ฎ ๐ณ๐๐ป๐ฑ:
โ
Fund house & manager track record
โ
Consistency of returns
โ
Low expense ratio
โ
Quality of holdings
โ
Risk-adjusted performance
๐ช๐ต๐ฎ๐ ๐ฑ๐ผ๐ฒ๐ ๐ก๐ข๐ง ๐บ๐ฎ๐๐๐ฒ๐ฟ ๐ฎ๐ ๐ฎ๐น๐น:
โ High or low NAV
If youโre still chasing โlow NAVโ funds, youโre probably skipping proven winners like Parag Parikh Flexi Cap, HDFC Flexi Cap, or UTI Nifty Index โ all with high NAVs but market-beating long-term returns.
Stop falling for this 15-year-old myth.
Invest in quality, not โcheap-lookingโ NAV.
#MutualFunds #InvestingMyths #PersonalFinance #WealthCreation #ThetaCapitals
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๐จ ๐ง๐ถ๐ฟ๐ฒ๐ฑ ๐ผ๐ณ ๐๐ ๐ฃ๐ฒ๐ป๐ฎ๐น๐๐ถ๐ฒ๐ ๐๐ฎ๐๐ถ๐ป๐ด ๐ฌ๐ผ๐๐ฟ ๐ฅ๐ฒ๐๐๐ฟ๐ป๐? ๐ฆ๐๐ถ๐๐ฐ๐ต ๐๐ผ ๐ฆ๐ต๐ผ๐ฟ๐-๐ง๐ฒ๐ฟ๐บ ๐๐ฒ๐ฏ๐ ๐๐๐ป๐ฑ๐ & ๐ฆ๐น๐ฒ๐ฒ๐ฝ ๐๐ฒ๐๐๐ฒ๐ฟ! ๐ฐ
Why ๐ฆ๐ต๐ผ๐ฟ๐-๐๐ฒ๐ฟ๐บ ๐ฑ๐ฒ๐ฏ๐ ๐ณ๐๐ป๐ฑ๐ crush ๐๐ถ๐
๐ฒ๐ฑ ๐๐ฒ๐ฝ๐ผ๐๐ถ๐๐ (๐๐๐) for smart, flexible parking of cash.
๐ค๐๐ถ๐ฐ๐ธ ๐๐
๐ฝ๐น๐ฎ๐ถ๐ป๐ฒ๐ฟ: ๐ช๐ต๐ฎ๐ ๐๐ฟ๐ฒ ๐ฆ๐ต๐ผ๐ฟ๐-๐ง๐ฒ๐ฟ๐บ ๐๐ฒ๐ฏ๐ ๐๐๐ป๐ฑ๐?
These are mutual funds investing in high-quality bonds & debt papers with 1-3 year maturities (low risk, low volatility). Perfect for 6-24 month horizons. They beat inflation better than savings accounts, with liquidity on tap.
Star Example: ๐๐๐๐๐ ๐ฃ๐ฟ๐๐ฑ๐ฒ๐ป๐๐ถ๐ฎ๐น ๐ฆ๐ต๐ผ๐ฟ๐ ๐ง๐ฒ๐ฟ๐บ ๐๐๐ป๐ฑ (๐๐ถ๐ฟ๐ฒ๐ฐ๐ ๐๐ฟ๐ผ๐๐๐ต)
- 1-Year Trailing Return: 8.9% (as of Nov 2025)
- Since Inception ๐๐๐๐ฅ: ~๐ณ.๐ด๐ฒ%
- Expense Ratio: Just 0.45% (super low!)
- Exit Load: ZERO โ redeem anytime without penalties!
Compare to FDs: Safe as houses, but locked in. Typical 1-year rate? ~7% p.a. (e.g., SBI/HDFC for general public). Sounds solid... until you need cash early. Boom โ penalties hit!
The Real Test: 6-Month Early Exit Showdown
Invest โน1 Lakh in both. Need money after 6 months? Here's the math (net of all charges):
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ โน1L Battle: FD vs. Short-Term Debt Fund (6 Months)
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐๐ (๐ญ-๐ฌ๐ฒ๐ฎ๐ฟ @๐ณ% ๐ฝ.๐ฎ.)
๐
Premature Withdrawal Penalty: 1% reduction on applicable rate
๐ธ Effective Rate for 6 Months: ~5.5% p.a. (after penalty)
๐ฐ Interest Earned: โน2,750
๐ Maturity Value: โน1,02,750
โ Total Return: 2.75%
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐๐๐๐๐ ๐ฃ๐ฟ๐ ๐ฆ๐ต๐ผ๐ฟ๐ ๐ง๐ฒ๐ฟ๐บ ๐๐๐ป๐ฑ (๐๐ถ๐ฟ๐ฒ๐ฐ๐)
๐
6-Month Trailing Return: ~4.4% (net of 0.45% expense ratio)
๐ซ No Exit Load or Penalties
๐ฐ Gains: โน4,400
๐ Maturity Value: โน1,04,400
โ
Total Return: 4.4%
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
Winner? Debt Fund by โน1,650 ๐ No lock-in drama, higher yields, and tax perks (indexation if held >3 years). FDs shine for seniors (extra 0.5%), but for most? Debt funds = flexibility + alpha.
Got Questions? DM or email thetacapitals@gmail.com.
#DebtFundsVsFD #ShortTermInvesting #MutualFunds #PersonalFinance #ThetaCapitals
"๐ฒ+ ๐๐ฒ๐ฎ๐ฟ๐โฆ ๐ญ๐๐ฅ๐ข ๐ฟ๐ฒ๐๐๐ฟ๐ป๐ ๐ณ๐ฟ๐ผ๐บ ๐ก๐ถ๐ณ๐๐ ๐ฑ๐ฌ โ ๐ฌ๐ฒ๐, ๐๐ผ๐ ๐ฟ๐ฒ๐ฎ๐ฑ ๐๐ต๐ฎ๐ ๐ฟ๐ถ๐ด๐ต๐!" ๐
Today, let's talk the one trait that separates winners from quitters: PATIENCE.
Everyone dreams of 15-20% annual returns on their investments. Sounds great, right? But here's the truth: Markets don't deliver clockwork gains. Some years explode with abnormal highs (hello, 2021's 24% Nifty surge!). Others? Breakeven. Or straight-up negative (like 2022's -4.3%).
The magic happens over decades, not days. Volatility is normal โ it's the price of admission to compounding wealth. Panic-sell during dips? You miss the rebound. Stay put? You capture the upside.
To drive it home, here are the longest periods when Nifty 50 gave literally ZERO net returns (sorted by duration โ longest first). These phases broke countless investors:
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ Longest periods Nifty gave 0% return
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ด 08-Jan-2008ย โย 31-Dec-2013
๐
Durationย ย ย : 2,180 days (~6 years)
๐ Max Drawdownย : -60%
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ด 14-Feb-2000ย โย 24-May-2004
๐
Durationย ย ย : 1,560 days (~4.3 years)
๐ Max Drawdownย : -53%
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ด 03-Mar-2015ย โย 06-Sep-2016
๐
Durationย ย ย : 497 days
๐ Max Drawdownย : -21%
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ด 18-Oct-2021ย โย 11-Nov-2022
๐
Durationย ย ย : 389 days
๐ Max Drawdownย : -16%
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ด 14-Jan-2020ย โย 09-Nov-2020
๐
Durationย ย ย : 300 days
๐ Max Drawdownย : -38% (COVID crash)
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ด 28-Aug-2018ย โย 02-Apr-2019
๐
Durationย ย ย : 217 days
๐ Max Drawdownย : -14%
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
(Yes, post-2008 crash it took 6+ YEARS just to get back to the old high. Brutal. But those who stayed? Rewarded massively later.)
Bottom line: Indian markets deliver ~12-15% CAGR only if you stay invested through the pain. Short-term noise is guaranteed. Ignore it. Build a solid portfolio and let compounding work its magic.
Moral of the story:
๐ฃ๐ฎ๐๐ถ๐ฒ๐ป๐ฐ๐ฒ ๐ถ๐ ๐ป๐ผ๐ ๐ท๐๐๐ ๐ฎ ๐๐ถ๐ฟ๐๐๐ฒ ๐ถ๐ป ๐๐ป๐ฑ๐ถ๐ฎ๐ป ๐บ๐ฎ๐ฟ๐ธ๐ฒ๐๐ โ ๐ถ๐โ๐ ๐๐ต๐ฒ ๐ข๐ก๐๐ฌ ๐๐ฎ๐ ๐๐ผ ๐ด๐ฒ๐ ๐๐ต๐ฎ๐ ๐ญ๐ฎ-๐ญ๐ฑ% ๐๐๐๐ฅ.
#Nifty50 #PatienceInInvesting #LongTermWealth #IndianStockMarket #ThetaCapitals
Date= 8th July (Tue) ๐ข
P&L= 61,281 (1.021%)
Capital = 60L
July ROI= 1.724%
Remark= Traded Sensex expiry basket
See my MTM graph in action, powered by @AlgoTest_in robust trading engine. algotest.in/share/mtm-graph/โฆ
1
19
1,160
Date= 20th June (Fri) ๐ด
P&L= -9,705 (0.161%)
Capital = 60L
June ROI= 1.013%
Remark= Traded Nifty non expiry basket
See my MTM graph in action, powered by @AlgoTest_in robust trading engine. algotest.in/share/mtm-graph/โฆ
2
763
Date= 19th June (Thu) ๐ข
P&L= 29,152 (0.486%)
Capital = 60L
June ROI= 1.174%
Remark= Traded Nifty expiry basket
Check out my @AlgoTest_in MTM Graph algotest.in/share/mtm-graph/โฆ
Date= 11th June (Wed) ๐ด
P&L= -1,534 (0.025%)
Capital = 60L
June ROI= 0.642%
Remark= Traded Nifty non expiry basket
Check out my @AlgoTest_in MTM Graph algotest.in/share/mtm-graph/โฆ
8
706
Date= 10th June (Tue) ๐ข
P&L= 35,003 (0.583%)
Capital = 60L
June ROI= 0.667%
Remark= Traded Sensex expiry basket
Check out my @AlgoTest_in MTM Graph algotest.in/share/mtm-graph/โฆ
Date= 9th June (Mon) ๐ข
P&L= 13,046 (0.217%)
Capital = 60L
June ROI= 0.084%
Remark= Traded Nifty non expiry basket
Check out my @AlgoTest_in MTM Graph algotest.in/share/mtm-graph/โฆ
1
11
801
Date= 4th June (Wed) ๐ข
P&L= 21,214 (0.353%)
Capital = 60L
June ROI= 0.306%
Remark= Traded Nifty non expiry basket
Check out my @AlgoTest_in MTM Graph algotest.in/share/mtm-graph/โฆ
Date= 3rd June (Tue) ๐ด
P&L= -9,928 (0.165%)
Capital = 60L
June ROI= -0.047%
Remark= Traded Sensex expiry basket
Check out my @AlgoTest_in MTM Graph algotest.in/share/mtm-graph/โฆ
2
497
Date= 2nd June (Mon) ๐ข
P&L= 7,069 (0.118%)
Capital = 60L
June ROI= 0.118
Remark= Traded Nifty non expiry basket
1
562
Zerodha response times are 100ms+ vs Flattrade's 20-40ms (AlgoTest).
โน20/order vs Flattrade's โน0 is hard to justify. Slow speeds hurt trading efficiency, especially in volatile markets.
Please fix this ASAP to stay competitive! @zerodha
#Trading #Brokerage #Latency




