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I’ve been writing about the path to Financial Independence since 2009—today, I’m living it full-time. 📈
Life doesn’t always go to plan. In 2020, at age 50, I faced sudden retrenchment. With the world under COVID restrictions and job offers scarce, I had to make a choice. 🧵
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1/7 🔩 POCL (Pondy Oxides & Chemicals), India's largest secondary lead recycler, has tripled profit in two years but the stock is down ~38% from its high. Here's what's going on 🧵 #POCL #Recycling
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U.S. stock futures fell on Wednesday evening as Nvidia shares tumbled in extended trading following a report that the chipmaker's board was preparing to remove Chief Executive Jensen Huang, raising concerns about stability at the compa
@grok please verify
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#TIINDIA (NSE): a bounce, not yet a breakout 🔍
CMP 2,286 (+3.46%)
Daily and weekly charts both say the same thing: the recovery attempt is real, but the trend hasn't turned.
Thread 🧵👇
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ATH BO Alert
ALL-TIME HIGH BREAKOUT ALERT! 🔥
14 stocks broke above their previous all-time highs and closed at record levels today! 🚀
💠MCX
💠Marico
💠TVS Motor
💠Phoenix Mills
💠Navin Fluorine
💠Karnataka Bank
💠Sai Life Sciences
💠Asahi India Glass
💠South Indian Bank
💠Unimech Aerospace
💠Kotak Mahindra Bank
💠Indo Count Industries
💠Kwality Pharmaceuticals
💠Sona BLW Precision Forgings
11-11-2026
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Teradyne appears compelling right now because the increasing complexity of AI processors requires more sophisticated testing, which has driven robust revenue and earnings growth. The recent market-driven pullback has created an attractive risk-reward profile for investors who believe AI-related semiconductor demand will persist beyond short-term volatility.
$TER closed at $245.40 yesterday. It has fallen 39.3% over six months, the steepest decline of the three, yet it is still up 33.9% over 12 months.
Technically, TER remains below its 50-day and 200-day moving averages around $350, with an RSI near 34 that is approaching oversold territory and a negative MACD, yet the stock has staged a strong recent rebound of more than 12% in a single session, indicating possible exhaustion of selling pressure.
Pivot support is near $229.82 and resistance near $254.83.
Average analyst targets near $425 imply about 70% upside, with some individual forecasts extending higher and supporting a view that the shares offer meaningful appreciation potential from current levels.
Source: Investing.com
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Astera Labs merits consideration amid the volatility because its pure-play status in AI interconnects has driven explosive revenue growth exceeding 150% year-over-year in recent quarters, making the current dip a potential entry into a company central to overcoming data-center bottlenecks even as the broader AI trade faces skepticism.
ALAB stock closed at $216.18 last night. It has held up best of the three, down only 4.5% over six months and up 24.8% over 12 months.

On the technical side, the stock trades below its 50-day moving average near $297 and 200-day average near $256, with an RSI in the mid-to-high 30s and a bearish MACD, although a recent double-digit percentage bounce suggests buyers may be stepping in after the recent sell-off.
Pivot support sits near $201.57 and resistance near $226.11.

Analyst consensus targets cluster around $340, pointing to approximately 60% upside. Citi flagged networking names like it as likely to see the largest sales estimate revisions. Bank of America also includes it among its sector favorites.
Source: Investing.com
1/7 🧵 $TSM: the company that quietly makes the chips behind most of AI. Q3'26: revenue $46.7B (+41% YoY), gross margin 66.4%, net margin 51.1%. Here's my read 👇 (Educational, not advice)
Teradyne appears compelling right now because the increasing complexity of AI processors requires more sophisticated testing, which has driven robust revenue and earnings growth. The recent market-driven pullback has created an attractive risk-reward profile for investors who believe AI-related semiconductor demand will persist beyond short-term volatility.
$TER closed at $245.40 yesterday. It has fallen 39.3% over six months, the steepest decline of the three, yet it is still up 33.9% over 12 months.
Technically, TER remains below its 50-day and 200-day moving averages around $350, with an RSI near 34 that is approaching oversold territory and a negative MACD, yet the stock has staged a strong recent rebound of more than 12% in a single session, indicating possible exhaustion of selling pressure.
Pivot support is near $229.82 and resistance near $254.83.
Average analyst targets near $425 imply about 70% upside, with some individual forecasts extending higher and supporting a view that the shares offer meaningful appreciation potential from current levels.
Source: Investing.com
1/7 🧵 $TSM: the company that quietly makes the chips behind most of AI. Q3'26: revenue $46.7B (+41% YoY), gross margin 66.4%, net margin 51.1%. Here's my read 👇 (Educational, not advice)
Lam Research $LRCX attractive now because its exposure to sustained wafer-fab equipment spending for high-bandwidth memory and logic chips positions it to benefit as AI demand continues, even if near-term multiples have compressed amid broader market caution.
LRCX closed at $222.39 on Tuesday. The shares are down 31.7% over six months but still up 33.6% over 12 months.

Technically, LRCX shares sit below both the 50-day and 200-day moving averages near $280 to $284, with a 14-day RSI around 39 and a negative MACD, confirming a near-term downtrend, yet a recent sharp rebound on elevated volume hints at potential stabilization after the steep decline.
Daily classical pivots place support near $209.33 and resistance near $227.95.

At current levels, the stock trades well below average analyst price target in the $360 range, implying upside of 63%. Bank of America lists the stock among its top picks in the semiconductor sector, and Citi named it a top buy-rated pick right before the sell-off.
Source: Investing.com
1/7 🔎 Corning ($GLW): the glassmaker that became an AI-infrastructure name — and then lost ~61% from its $271.78 peak.
Is it a bargain now, or still pricey? Let's break it down. 🧵
(Not investment advice.)
The Great Investment Paradox
🧵 1/12 | The Great Investment Paradox
Why do investors keep pouring money into crowded markets while ignoring emerging sectors with enormous growth potential?
The biggest opportunities are often hiding where the crowd isn’t looking.
But there’s a reason capital behaves differently.
Let’s decode it. 👇
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The Great Investment Paradox
🧵 1/12 | The Great Investment Paradox
Why do investors keep pouring money into crowded markets while ignoring emerging sectors with enormous growth potential?
The biggest opportunities are often hiding where the crowd isn’t looking.
But there’s a reason capital behaves differently.
Let’s decode it. 👇
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