๐จ๐ญ Global One SI - Prompt
#BTC/USDT M15 #Indicator #Signal #Trading #GlobalOneAI Decentralized Perpetuals Exchange - 290+ assets across #crypto, #forex, #stocks, #indices, and #commodities. All tradeable from your wallet. Just #trade on Hawk/gTrade + Ostium or Vooi @Hawk_trading_bot โฆ
#BTC/USDT M15 #Indicator #Signal #Trading #GlobalOneAI
Decentralized Perpetuals Exchange - 290+ assets across #crypto, #forex, #stocks, #indices, and #commodities. All tradeable from your wallet. Just #trade on Hawk/gTrade + Ostium or Vooi
@Hawk_trading_bot @ostiumbot
@VooiAppBot
๐ฆ @pigeon_trade_bot
๐ฒ @polycoolbot
โ๏ธ gains.trade
โ๏ธ ostium.com
โ๏ธ vooi.io
Prove your #trading skills and get funded!
๐ฅ carrotfunding.io
Unlock your freedom
๐ฑ mtpelerin.com
Decentralized Perpetuals Exchange - 290+ assets across #crypto, #forex, #stocks, #indices, and #commodities. All tradeable from your wallet. Just #trade on Hawk/gTrade + Ostium or Vooi
@Hawk_trading_bot @ostiumbot
@VooiAppBot
๐ฆ @pigeon_trade_bot
๐ฒ @polycoolbot
Prove your #trading skills and get funded!
๐ฅ carrotfunding.io
Unlock your freedom
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๐จ๐ญ Global One SI - Prompt
#ETH/USDT M15 #Indicator #Signal #Trading #GlobalOneAI Decentralized Perpetuals Exchange - 290+ assets across #crypto, #forex, #stocks, #indices, and #commodities. All tradeable from your wallet. Just #trade on Hawk/gTrade + Ostium or Vooi @Hawk_trading_bot โฆ
#ETH/USDT M15 #Indicator #Signal #Trading #GlobalOneAI
Decentralized Perpetuals Exchange - 290+ assets across #crypto, #forex, #stocks, #indices, and #commodities. All tradeable from your wallet. Just #trade on Hawk/gTrade + Ostium or Vooi
@Hawk_trading_bot @ostiumbot
@VooiAppBot
๐ฆ @pigeon_trade_bot
๐ฒ @polycoolbot
โ๏ธ gains.trade
โ๏ธ ostium.com
โ๏ธ vooi.io
Prove your #trading skills and get funded!
๐ฅ carrotfunding.io
Unlock your freedom
๐ฑ mtpelerin.com
Decentralized Perpetuals Exchange - 290+ assets across #crypto, #forex, #stocks, #indices, and #commodities. All tradeable from your wallet. Just #trade on Hawk/gTrade + Ostium or Vooi
@Hawk_trading_bot @ostiumbot
@VooiAppBot
๐ฆ @pigeon_trade_bot
๐ฒ @polycoolbot
Prove your #trading skills and get funded!
๐ฅ carrotfunding.io
Unlock your freedom
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VIEW IN TELEGRAM
Saturday, Feb 14 2026, 12:00 UTC time
๐ Latest Important Headlines โ Market Brief
โ US inflation cools; Fed likely to stay on hold
๐ US CPI surprised to the downside, sending Treasury yields to multi-month lows and boosting market bets that the Fed will remain on hold through 2H. Equity indices saw modest moves (S&P little changed) as investors priced a growing chance of a 2026 soft landing. Economic calendar focus: upcoming GDP, inflation prints and Walmart earnings as catalysts.
๐ FX & rates: dollar flat, yen and CAD react
๐ Dollar broadly flat after the CPI print; yen headed for its strongest weekly gain in ~15 months. Canadian dollar kept weekly gains as US inflation cooled, supporting CAD versus USD. Lower US yields and cooler inflation expectations are weighing on the dollar and supporting risk-sensitive EM/commodity-linked currencies.
๐ Market movers & regional headlines
๐ US stocks & sectors: Tech softened while overall indices ended mixed. Airlines and travel groups warned a potential partial U.S. government shutdown could disrupt airport screening and travel flows โ a downside risk for travel names. IRS tax-season notes: fewer returns but larger refunds so far, a minor consumer-spend datapoint. In Brazil, Ibovespa closed the week in the red amid global risk dynamics.
๐ Macro takeaway for traders
๐ Positioning: Lower yields and cooling inflation raise odds of easier financial conditions, favoring equities but keeping volatility on macro headlines (inflation prints, Fed commentary, US political risks). Watch USD reaction to further CPI/PPI/GDP data, CAD and JPY flows, and event risk from US budget talks and corporate earnings next week.
๐ Latest Important Headlines โ Market Brief
โ US inflation cools; Fed likely to stay on hold
๐ US CPI surprised to the downside, sending Treasury yields to multi-month lows and boosting market bets that the Fed will remain on hold through 2H. Equity indices saw modest moves (S&P little changed) as investors priced a growing chance of a 2026 soft landing. Economic calendar focus: upcoming GDP, inflation prints and Walmart earnings as catalysts.
๐ FX & rates: dollar flat, yen and CAD react
๐ Dollar broadly flat after the CPI print; yen headed for its strongest weekly gain in ~15 months. Canadian dollar kept weekly gains as US inflation cooled, supporting CAD versus USD. Lower US yields and cooler inflation expectations are weighing on the dollar and supporting risk-sensitive EM/commodity-linked currencies.
๐ Market movers & regional headlines
๐ US stocks & sectors: Tech softened while overall indices ended mixed. Airlines and travel groups warned a potential partial U.S. government shutdown could disrupt airport screening and travel flows โ a downside risk for travel names. IRS tax-season notes: fewer returns but larger refunds so far, a minor consumer-spend datapoint. In Brazil, Ibovespa closed the week in the red amid global risk dynamics.
๐ Macro takeaway for traders
๐ Positioning: Lower yields and cooling inflation raise odds of easier financial conditions, favoring equities but keeping volatility on macro headlines (inflation prints, Fed commentary, US political risks). Watch USD reaction to further CPI/PPI/GDP data, CAD and JPY flows, and event risk from US budget talks and corporate earnings next week.
Key watch: US CPI/GDP prints, Fed signals, Walmart earnings, US budget/shutdown developments, CAD/JPY moves.Global ranking of the most profitable companies in the world (Mag 7 vs. World)
Projections for 2025->2026->2027 (Operating Income).
#1: $NVDA (USA, 4.4T MC) ๐บ๐ธ
~$135.0B -> $186.5B -> $240.1 Billion
#2: Samsung Electronics (Korea, $820B MC) ๐ฐ๐ท
~$30.2B -> ~$170B -> ~$226.7 Billion
#3 $MSFT (USA, $2.9T MC)
~$128.5B -> 153.0B -> $181.5 Billion
#4 $GOOGL (USA, $3.7T MC)
~$129.0B -> $142.0B -> $173.0B
#4 Sk Hynix (Korea, $410B MC)
~$32.7B -> ~$124B -> ~$161.0 Billion
#5 $APPL (USA, $3.76T MC)
$133.1B -> $146.0B -> $160.5B
#6 $AMZN (USA, $2.13T MC)
$80.0B -> $105.0B -> $136.5B
#7 $Meta (USA, $1.62T MC)
$83.3 -> $97.0B -> $121.5B
#8 $TSLA (USA, $1.31T MC)
$4.4B -> $8.0B -> $24.0B
Samsung Electronics, a $820B company in Korea is projected to catch up to $NVDA in 2027 in operating income.
Meanwhile Sk Hynix is projected to overtake both $APPL and $AMZN in operating income in 2027.
The main takeaway is that the growth of both US hyperscalers and South Korean equities is astounding due to Artificial Intelligence ramp.
Projections for 2025->2026->2027 (Operating Income).
#1: $NVDA (USA, 4.4T MC) ๐บ๐ธ
~$135.0B -> $186.5B -> $240.1 Billion
#2: Samsung Electronics (Korea, $820B MC) ๐ฐ๐ท
~$30.2B -> ~$170B -> ~$226.7 Billion
#3 $MSFT (USA, $2.9T MC)
~$128.5B -> 153.0B -> $181.5 Billion
#4 $GOOGL (USA, $3.7T MC)
~$129.0B -> $142.0B -> $173.0B
#4 Sk Hynix (Korea, $410B MC)
~$32.7B -> ~$124B -> ~$161.0 Billion
#5 $APPL (USA, $3.76T MC)
$133.1B -> $146.0B -> $160.5B
#6 $AMZN (USA, $2.13T MC)
$80.0B -> $105.0B -> $136.5B
#7 $Meta (USA, $1.62T MC)
$83.3 -> $97.0B -> $121.5B
#8 $TSLA (USA, $1.31T MC)
$4.4B -> $8.0B -> $24.0B
Samsung Electronics, a $820B company in Korea is projected to catch up to $NVDA in 2027 in operating income.
Meanwhile Sk Hynix is projected to overtake both $APPL and $AMZN in operating income in 2027.
The main takeaway is that the growth of both US hyperscalers and South Korean equities is astounding due to Artificial Intelligence ramp.
These numbers are staggering:
Samsung and SK Hynix are projected to become the most profitable companies in the world by 2027.
Their projections exceed $APPL and $GOOGL, both ~$4T companies in operating profit.
For reference, Samsung is valued at ~$820B and SK Hynix is valued at ~$410B.
That would make a ~$410B company in SK Hynix more profitable than $GOOGL ($3.7T) in 2027.
By Morgan Stanley estimates earlier, SK Hynix and Samsung are est. to bring in:
~$387.7 Billion USD combined operating income.
Americaโs two most profitable companies $APPL and $GOOGL combined brought in $263 Billion USD for 2025. (Google $129-132B, Apple $133.1B)
2027 est.
Samsung Electronics: ~$226.7 Billion
Sk Hynix: ~$161.0 Billion
2027 est:
Apple: ~$156B-$165B
Google: ~$168B-178B
The statistics of smaller Korean equities exceeding multi trillion dollar US hyperscalers in profitability is staggering.
Itโs a genuinely interesting point, that a $410B company exceeds $4T+ hyperscalers in profitability.
But the bigger question markets are pricing in is if the memory shortage is ephemeral, or if they become a necessary โOilโ like GPUs for the AI buildout.
If your answer to that is โlikely, might be good to get exposure to Korean, Japanese, or Taiwanese equities.
Samsung and SK Hynix are projected to become the most profitable companies in the world by 2027.
Their projections exceed $APPL and $GOOGL, both ~$4T companies in operating profit.
For reference, Samsung is valued at ~$820B and SK Hynix is valued at ~$410B.
That would make a ~$410B company in SK Hynix more profitable than $GOOGL ($3.7T) in 2027.
By Morgan Stanley estimates earlier, SK Hynix and Samsung are est. to bring in:
~$387.7 Billion USD combined operating income.
Americaโs two most profitable companies $APPL and $GOOGL combined brought in $263 Billion USD for 2025. (Google $129-132B, Apple $133.1B)
2027 est.
Samsung Electronics: ~$226.7 Billion
Sk Hynix: ~$161.0 Billion
2027 est:
Apple: ~$156B-$165B
Google: ~$168B-178B
The statistics of smaller Korean equities exceeding multi trillion dollar US hyperscalers in profitability is staggering.
Itโs a genuinely interesting point, that a $410B company exceeds $4T+ hyperscalers in profitability.
But the bigger question markets are pricing in is if the memory shortage is ephemeral, or if they become a necessary โOilโ like GPUs for the AI buildout.
If your answer to that is โlikely, might be good to get exposure to Korean, Japanese, or Taiwanese equities.
๐จ๐ญ Global One SI - Prompt
$LASR/USD H2 #Indicator #Signal #Trading #GlobalOneAI
$LASR is up almost 30%+ now since I mentioned it last month.
Apparently markets (and guys) really like death ray laser beams that shoot anything down like hypersonic missiles.
Itโs not too hard to imagine the DoD attaching laser beams to $TSLA Optimus Robots and sending them off to war.
If America is building the Death Star in space from Star Wars or the Terminator from Skyney, this company would be it.
That being said, donโt have any right now, but thought others might appreciate under the radar companies like this.
Energy directed lasers are just so futuristic and cool.
Apparently markets (and guys) really like death ray laser beams that shoot anything down like hypersonic missiles.
Itโs not too hard to imagine the DoD attaching laser beams to $TSLA Optimus Robots and sending them off to war.
If America is building the Death Star in space from Star Wars or the Terminator from Skyney, this company would be it.
That being said, donโt have any right now, but thought others might appreciate under the radar companies like this.
Energy directed lasers are just so futuristic and cool.
โ1
There is always a bull market somewhere.
Memory: $SNDK $MU $WDC $STX
Foundries: $TSM $SKYT
Substrates: $AXTI
Chip Equipment: $TER $ACMR $AEHR $ICHR $MTSI
Data Centers: $VRT
Cloud: $FSLY $DOCN
Electronics: $POWL $FIX $VICR
HPC: $APLD $WULF $NUAI
Energy: $BE $ENLT $NXT
Materials: $SOLS $CPSH $GLW
Networking: $LITE $VIAV
Rare Earths: $CRML $USAR
Critical Minerals: $UAMY $UUUU
Drones: $RCAT
Space: $SATL $RKLB $VSAT
Aerospace: $FTAI
Biotech: $ERAS $PAHC
Memory: $SNDK $MU $WDC $STX
Foundries: $TSM $SKYT
Substrates: $AXTI
Chip Equipment: $TER $ACMR $AEHR $ICHR $MTSI
Data Centers: $VRT
Cloud: $FSLY $DOCN
Electronics: $POWL $FIX $VICR
HPC: $APLD $WULF $NUAI
Energy: $BE $ENLT $NXT
Materials: $SOLS $CPSH $GLW
Networking: $LITE $VIAV
Rare Earths: $CRML $USAR
Critical Minerals: $UAMY $UUUU
Drones: $RCAT
Space: $SATL $RKLB $VSAT
Aerospace: $FTAI
Biotech: $ERAS $PAHC
โ1
Most Expensive Things Ever Built by Humans ๐ฐ
1. ๐บ๐ธ Mars Perseverance Rover โ $2.7 Billion
2. ๐บ๐ธ Northrop B-2 Spirit Stealth Bomber โ $4.2 Billion
3. ๐บ๐ธ USS Zumwalt Stealth Destroyer โ $8 Billion
4. ๐จ๐ญ Large Hadron Collider (CERN) โ $9 Billion
5. ๐บ๐ธ Columbia Class Submarine โ $9.15 Billion
6. ๐บ๐ธ James Webb Space Telescope โ $9.7 Billion
7. ๐บ๐ธ Starlink Satellite Constellation โ $10 Billion
8. ๐บ๐ธ Gerald R. Ford Class Aircraft Carrier โ $13 Billion
9. ๐ International Space Station โ $150 Billion
Note: All figures are approximate estimates. Actual costs may vary depending on the source, accounting method, and time period considered.
1. ๐บ๐ธ Mars Perseverance Rover โ $2.7 Billion
2. ๐บ๐ธ Northrop B-2 Spirit Stealth Bomber โ $4.2 Billion
3. ๐บ๐ธ USS Zumwalt Stealth Destroyer โ $8 Billion
4. ๐จ๐ญ Large Hadron Collider (CERN) โ $9 Billion
5. ๐บ๐ธ Columbia Class Submarine โ $9.15 Billion
6. ๐บ๐ธ James Webb Space Telescope โ $9.7 Billion
7. ๐บ๐ธ Starlink Satellite Constellation โ $10 Billion
8. ๐บ๐ธ Gerald R. Ford Class Aircraft Carrier โ $13 Billion
9. ๐ International Space Station โ $150 Billion
Note: All figures are approximate estimates. Actual costs may vary depending on the source, accounting method, and time period considered.
๐จ JUST IN: X is preparing to launch crypto & stock trading directly inside the timeline within the next couple of weeks.
This means users may soon be able to buy, sell, and trade without leaving the app.
If true, this turns X from a social platform into a full #trading + payments super app.
This means users may soon be able to buy, sell, and trade without leaving the app.
If true, this turns X from a social platform into a full #trading + payments super app.
๐จ SOME ECONOMIES ARE 80โ90% MINING
Thatโs not diversification
Thatโs dependency
Top exposure:
โข ๐ง๐ผ Botswana. 92% diamonds
โข ๐ฌ๐ณ Guinea. 87% gold
โข ๐ฒ๐ฑ Mali. 85% gold
โข ๐ง๐ซ Burkina Faso. 84% gold
โข ๐ฟ๐ฒ Zambia. 79% copper
โข ๐จ๐ฉ DRC. 77% copper
Even:
โข ๐ต๐ช Peru. 61% copper
โข ๐ณ๐ฆ Namibia. 61% diamonds
Why it matters:
โข Price volatility = fiscal volatility
โข Political instability = supply shocks
โข ESG pressure = export risk
โข Single-commodity risk dominates GDP
This isnโt just a mining story.
Itโs macro fragility.
When copper or gold moves,
entire national budgets move with it.
#minerals #metals
Thatโs not diversification
Thatโs dependency
Top exposure:
โข ๐ง๐ผ Botswana. 92% diamonds
โข ๐ฌ๐ณ Guinea. 87% gold
โข ๐ฒ๐ฑ Mali. 85% gold
โข ๐ง๐ซ Burkina Faso. 84% gold
โข ๐ฟ๐ฒ Zambia. 79% copper
โข ๐จ๐ฉ DRC. 77% copper
Even:
โข ๐ต๐ช Peru. 61% copper
โข ๐ณ๐ฆ Namibia. 61% diamonds
Why it matters:
โข Price volatility = fiscal volatility
โข Political instability = supply shocks
โข ESG pressure = export risk
โข Single-commodity risk dominates GDP
This isnโt just a mining story.
Itโs macro fragility.
When copper or gold moves,
entire national budgets move with it.
#minerals #metals
๐งฐ OSINT Tool: An Investigatorโs Ready-Made Toolkit
Building an effective OSINT toolkit takes time, and everyone ends up with a slightly different setup ๐
Sometimes, itโs useful to explore how others organize their tools, especially when it comes to niche areas like blockchain investigations โ๏ธ
This toolkit brings together a curated set of links focused on blockchain criminalistics, digital investigations, and threat hunting ๐ต๏ธโโ๏ธ
It includes tools and resources for:
๐ Blockchain analysis
๐ Google dorking
๐ผ Image analysis
๐ IP & network research
๐งพ Data breaches
๐ค Web scraping
osint.intelligenceonchain.com
Building an effective OSINT toolkit takes time, and everyone ends up with a slightly different setup ๐
Sometimes, itโs useful to explore how others organize their tools, especially when it comes to niche areas like blockchain investigations โ๏ธ
This toolkit brings together a curated set of links focused on blockchain criminalistics, digital investigations, and threat hunting ๐ต๏ธโโ๏ธ
It includes tools and resources for:
๐ Blockchain analysis
๐ Google dorking
๐ผ Image analysis
๐ IP & network research
๐งพ Data breaches
๐ค Web scraping
osint.intelligenceonchain.com
CYBERSECURITY VALUE CHAIN
Software is getting punished because AI is coming for large parts of the value chain. The real question for every software company is "does AI compete with you or work for you." In security, AI does not replace the product since it expands the threat surface and creates more demand for the product.
Remember that the bad guys also have LLMs too which is why the AI security stack matters:
โข $ZS zero-trust access
โข $CRWD endpoint protection
โข $FTNT network firewalls at scale
โข $RBRK data resilience & recovery
โข $NET network security at the edge
โข $OKTA identity & access management
โข $S AI-native endpoint & cloud workload security
โข $PANW unified network, cloud & SecOps security
โข $MSFT Azure-integrated security across identity, endpoint & cloud
When an enterprise deploys 1,000 AI agents executing autonomous workflows then they've just created 1,000 new endpoints that need protection. Each agent has credentials, API access and the ability to take actions but each one can be compromised, manipulated or hijacked.
If AI infrastructure is a generational buildout then cybersecurity is a generational growth story.
Software is getting punished because AI is coming for large parts of the value chain. The real question for every software company is "does AI compete with you or work for you." In security, AI does not replace the product since it expands the threat surface and creates more demand for the product.
Remember that the bad guys also have LLMs too which is why the AI security stack matters:
โข $ZS zero-trust access
โข $CRWD endpoint protection
โข $FTNT network firewalls at scale
โข $RBRK data resilience & recovery
โข $NET network security at the edge
โข $OKTA identity & access management
โข $S AI-native endpoint & cloud workload security
โข $PANW unified network, cloud & SecOps security
โข $MSFT Azure-integrated security across identity, endpoint & cloud
When an enterprise deploys 1,000 AI agents executing autonomous workflows then they've just created 1,000 new endpoints that need protection. Each agent has credentials, API access and the ability to take actions but each one can be compromised, manipulated or hijacked.
If AI infrastructure is a generational buildout then cybersecurity is a generational growth story.
๐จ AFRICA IS THE NEXT MINERAL SUPERPOWER
โข ๐จ๐ฉ DRC Cobalt + copper giant
โข ๐ฟ๐ฒ Zambia #Copper belt
โข ๐ฟ๐ผ Zimbabw #Lithium surge
โข ๐ณ๐ฆ Namibia #Uranium + lithium
โข ๐ฟ๐ฆ South Africa PGMs + manganese
โข ๐ฒ๐ฆ Morocco Phosphates
West Africa:
โข #Gold belts across Mali, Burkina, Ghana
โข Bauxite in Guinea
โข Iron ore emerging in Sierra Leone
This isnโt scattered geology.
Itโs strategic concentration.
#Energy transition metals.
Battery inputs.
Defense-critical minerals.
If capital + infrastructure scale:
โข Supply chains diversify from China
โข Western FDI accelerates
โข Resource nationalism intensifies
Africa isnโt peripheral to the transition.
Itโs central to it.
#minerals #mining
โข ๐จ๐ฉ DRC Cobalt + copper giant
โข ๐ฟ๐ฒ Zambia #Copper belt
โข ๐ฟ๐ผ Zimbabw #Lithium surge
โข ๐ณ๐ฆ Namibia #Uranium + lithium
โข ๐ฟ๐ฆ South Africa PGMs + manganese
โข ๐ฒ๐ฆ Morocco Phosphates
West Africa:
โข #Gold belts across Mali, Burkina, Ghana
โข Bauxite in Guinea
โข Iron ore emerging in Sierra Leone
This isnโt scattered geology.
Itโs strategic concentration.
#Energy transition metals.
Battery inputs.
Defense-critical minerals.
If capital + infrastructure scale:
โข Supply chains diversify from China
โข Western FDI accelerates
โข Resource nationalism intensifies
Africa isnโt peripheral to the transition.
Itโs central to it.
#minerals #mining
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Larry Fink admits that pushing renewables will cause a global power shortage
After years of pressuring companies and countries to โtransitionโ to renewables, Larry made a 180.
- The world is short power
- To run data centers, you need dispatchable power
- Renewables wonโt work
In other words, the world needs:
- Coal
- Gas
- Nuclear
- Maybe diesel
All this at a time when we have underinvested in these sectors for more than a decade, thanks to individuals like Larry.
The future of energy is bright.
After years of pressuring companies and countries to โtransitionโ to renewables, Larry made a 180.
- The world is short power
- To run data centers, you need dispatchable power
- Renewables wonโt work
In other words, the world needs:
- Coal
- Gas
- Nuclear
- Maybe diesel
All this at a time when we have underinvested in these sectors for more than a decade, thanks to individuals like Larry.
The future of energy is bright.
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$MP $UUUU $UAMY $USAR $LAC $CRML | United States opened its first new rare earth mine in 70 years at Wyomingโs Brook Mine.
By extracting critical minerals from coal, the project secures a domestic supply for AI and defense to decouple from China.
By extracting critical minerals from coal, the project secures a domestic supply for AI and defense to decouple from China.
๐จ RUSSIA SITS ON $75 TRILLION IN NATURAL RESOURCES
Thatโs more than anyone
Top countries by resource value:
โข ๐ท๐บ #Russia $75T
โข ๐บ๐ธ US $45T
โข ๐ธ๐ฆ Saudi Arabia $34T
โข ๐จ๐ฆ #Canada $33T
โข ๐ฎ๐ท #Iran $27T
โข ๐จ๐ณ #China $23T
โข ๐ง๐ท #Brazil $22T
โข ๐ฆ๐บ Australia $20T
Russiaโs edge:
โข Oil
โข Gas
โข Coal
โข Timber
โข Rare earths
This isnโt GDP.
Itโs underground leverage.
#Energy. #Metals. Strategic materials.
When geopolitics escalates,
countries with reserves hold optionality.
The balance of power isnโt just military.
Itโs geological.
#oott
Thatโs more than anyone
Top countries by resource value:
โข ๐ท๐บ #Russia $75T
โข ๐บ๐ธ US $45T
โข ๐ธ๐ฆ Saudi Arabia $34T
โข ๐จ๐ฆ #Canada $33T
โข ๐ฎ๐ท #Iran $27T
โข ๐จ๐ณ #China $23T
โข ๐ง๐ท #Brazil $22T
โข ๐ฆ๐บ Australia $20T
Russiaโs edge:
โข Oil
โข Gas
โข Coal
โข Timber
โข Rare earths
This isnโt GDP.
Itโs underground leverage.
#Energy. #Metals. Strategic materials.
When geopolitics escalates,
countries with reserves hold optionality.
The balance of power isnโt just military.
Itโs geological.
#oott