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Canada
Joined March 2022
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It's AMAZING to see the continued adoption of ETFs by Canadian Investors! π¨π¦
Since there are still a lot of CDNS not yet benefiting here's an easy list of Canada's Top 10 ETF Providers (by AUM) to share & bookmark with family, friends & followers...
Links to each ππ in π§΅
Too far. I will literally never step foot in the USA ever again.
The world is a beautiful place. No one needs America.
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For every Canadian Investor π¨π¦π
This is your starting line
ππ
Might even be your finish line too. ππ
Check out the returns of the Canadian asset allocation ETFs. Yes, you should benchmark your returns against the AA portfolios of similar risk to your portfolios. cutthecrapinvesting.com/2021β¦
FAFO. π¨π¦π
Over the last few years, the US has imposed a lot of dumb tariffs. But my new @opinion piece reveals what may very well be the dumbest one of all - maybe ever.
And the Iran war has made it even worse. /1
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Not your parents market or portfolioβ¦ ππ
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I β€οΈ Charts! π
Especially when markets start misbehaving.
5 of Wednesday's best charts and insights:
dailychartbook.com/p/if-we-rβ¦
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Lots of interesting takeaways for the potential state of Canadian job disruption ππ
47% of total Canadian payroll sits in jobs that are highly exposed to AI.
This weekend, @karpathy published an AI exposure analysis for the US job market.
I adapted it to Canadian jobs data. Full heatmap + dashboard link below.
3 things that stood out:
1) The higher you're paid, the more exposed you are. Workers earning $100K+ have an average AI exposure of 6.7/10. Those marking under $35K? Just 3.4/10. AI is coming fast for knowledge work, not manual labour.
2) Education amplifies exposure. University-educated workers face the highest AI exposure. Those with no formal education face the least.
3) 7.9M Canadian workers are in high-exposure occupations (score 6+). That's 39% of the workforce.
Check out the heatmap across 500+ job categories:
reuven-rgb.github.io/canadiaβ¦
@KirkLubimov @danielfoch
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Iβm a fan of breaking rules. Except for when it comes to Indexes. π€¦ββοΈπ
This quoted post is unavailable.
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Worth paying attention to ππ
Anthropic just released the most IMPORTANT chart in the AI labor debate.
This comes from the company that builds Claude using data from 2 million real conversations.
Hereβs what it shows.
The blue area is every task AI could theoretically do right now.
The red area is what people are actually using it for.
The gap between them is enormous and that gap is your career runway.
Computer programmers are already 75%
covered.
Customer service reps, data entry workers, financial analysts, theyβre next.
But hereβs what no one is talking about.
The mass layoffs havenβt really started.
Unemployment for exposed workers hasnβt budged.
So whatβs actually happening?
Companies are closing the front door, hiring for workers aged 22 to 25 in AI exposed jobs has dropped 14%.
The most exposed workers arenβt factory workers, theyβre college educated, higher earning.
49% of US jobs now have at least a quarter of their tasks inside AIβs reach.
Thatβs up from 36% just one year ago.
And the red area on that chart,
the real world usage is still a fraction of whatβs possible.
Every month, it grows a bit.
Anthropic built the scoreboard and most people havenβt looked at it yet.
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π¨π¦π
We asked people around the world to rate the morality and ethics of others in their country.
The U.S. is the only place we surveyed where more adults describe the morality and ethics of others living in the country as bad than good. See our full morality report here: pewresearch.org/religion/202β¦
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If probabilities are against us for making money from low valuations then we might need to target opportunities in volatilityβ¦ π€π
The market spends <10% of its time with $VIX above 30.
Those rare moments? They're historically some of the best entry points.
Forward returns at VIX 30+ have historically been strong. Volatility isn't risk - it's opportunity mispriced.
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Regardless of which side your on the back and forth during the various highs and lows is good entertainment ππ
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Donβt forget the βcash dragβ and systematic DCA that usually results in higher ACBs. π
2-24-26 Why Youβll Never Beat The Index (And Thatβs Okay)
Most investors chase returns and compare themselves to an index that isnβt a real portfolio. Indexes donβt pay taxes, trading costs, management fees, or deal with withdrawals.
They also replace failed companies without absorbing permanent capital losses β something individual investors canβt do. That structural advantage makes consistent outperformance extremely difficult.
Because of these differences, obsessing over beating or matching an index can lead to poor psychological decisions. Investors often chase last yearβs winners, assuming recent outperformance will continue.
But markets rotate β sectors and themes shift leadership over time. What worked last year may underperform next year. By jumping into what just worked, investors frequently buy high and set themselves up for disappointment.
Long-term success in investing requires discipline, understanding market rotation, and avoiding the psychological trap of performance envy.
If you like this video, please β€οΈlike and πretweet
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Worth knowing and understanding π
Replying to @shanaka86
The competition for these resources isnβt even close. A real 'Emperor has no clothes' moment for the USA and the West and the rest of Asia and Africa. It's almost like capitalism frorgot it's wallet at home. Shame, because all these world leaders spent so much time talking about talking about how to make life better for everyone.
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