Joined October 2020
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Jun 13
PDT Removal Could Be the Biggest Retail Market Catalyst Since $AMC & $GME Era. ππ π€―
More active traders. More liquidity. More option flow. More gamma exposure.
If retail regains participation, shorts may have to adapt to a market they haven't faced since 2020. π
π₯ We've built a #GVM #Squeeze #Indicator just for this, follow/like to participate. No Subscription or fees.
GVM: Growth-Volume-Momentum
Our model filters out the best practical setups - 3x setups, undervalued, catalysts, growth, Darkpool, Institutional, stressed float dynamics, reclaim levels, predictive outcomes, volume expansion, pure greed index.
Shorts don't fear retail investors.
They fear retail investors who find the same undervalued setup at the same time.
High SI. Tight float. Rising volume. Growing awareness.
That's when the pressure starts.
Nobody needs coordination. The data speaks for itself. When risk outweighs conviction, shorts become buyers. One play at a time.
#ShortSqueeze #RetailInvesting #Stocks #MarketStructure #DYOR
x.com/QueTraders/status/2065β¦
Jun 13
$SERV keeps gettng knocked down this week by shorts, not sellers. π€
Here's what nobody sees. π
Buyout candidacy discussed this week across multiple firms. Poor exposure due to recent events.
Postmate, cost Uber $2.6B before it was Serve Robotics Spinoff. Sitting under $600M market cap today.
Huge connections and investment stack, $NVDA, $UBER, $DASH $SYM, $WMT, any idea what the last two have in common?
Robot delivery utilization has increased more than 1400% in 2026. With 2000 units deployed. Scaling shows infrastructure supports expansion.
Technical:
56% off exchange Darkpool volume is the highest in 30 days, between $7-9 range = 100M volume.
77M Share Float
29% Short Interest
@ 21M shares
4.2 days to cover
- Tracked 550k being used daily to aid price control.
Multiple higher gaps to fill, perfect setup for a potential squeeze with 85% rating. Trigger = above avg volume and $9 price reclaim.
Future Valuation Multiples range from normal to full scale.
Short term 3-6x
2030 39-79x
The Math π Part 1 - Retail Ops.
x.com/QueTraders/status/2063β¦
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TradersQue retweeted
One of the first "Be The Grid" deployments.
A 7-well North Dakota pad needed ~1.8 MW of power but faced a 10-month utility delay. High-HβS gas prevented use of field gas for generators.
$UNRG supplied both #LNG fuel & #powergeneration with zero fuel-related outages.
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TradersQue retweeted
Retail Rebellion π π πΈ
The battle begins against Short Interest Manipulation #SQUEEZE
x.com/QueTraders/status/2065β¦
Jun 13
PDT Removal Could Be the Biggest Retail Market Catalyst Since $AMC & $GME Era. ππ π€―
More active traders. More liquidity. More option flow. More gamma exposure.
If retail regains participation, shorts may have to adapt to a market they haven't faced since 2020. π
π₯ We've built a #GVM #Squeeze #Indicator just for this, follow/like to participate. No Subscription or fees.
GVM: Growth-Volume-Momentum
Our model filters out the best practical setups - 3x setups, undervalued, catalysts, growth, Darkpool, Institutional, stressed float dynamics, reclaim levels, predictive outcomes, volume expansion, pure greed index.
Shorts don't fear retail investors.
They fear retail investors who find the same undervalued setup at the same time.
High SI. Tight float. Rising volume. Growing awareness.
That's when the pressure starts.
Nobody needs coordination. The data speaks for itself. When risk outweighs conviction, shorts become buyers. One play at a time.
#ShortSqueeze #RetailInvesting #Stocks #MarketStructure #DYOR
x.com/QueTraders/status/2065β¦
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Jun 11
π§ FYI
Everyone is reading the $SPY chart wrong. Trust me...
Your are tagging the wrong period of oscillators and Gamma effects the market very much today.
PDT helps MMs scalp 3% without 15% cycles.
Headlines will be used as tactics, as if any volume actually comes from them π
SEC can scam $160M off liquidity vs illegal halts
CDEL will make Billions fraudulently exploiting retail off the market for 1% fine.
Companies will cook the books for 3-6 months.
Hedges will claim they were all in cash after it all happens, not before π
Ask yourself, where are we now?
Do you still want in this market... NOOOOoooo! π
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QE π€
x.com/CryptoNobler/status/20β¦
π¨ BREAKING
πΊπΈ FED WILL INJECT $6,638,000,000.00 INTO THE ECONOMY NEXT WEEK, RIGHT BEFORE THE U.S. MARKET OPENS!
NEW FED CHAIR KEVIN WARSH HAS URGENTLY ORDERED THE FED TO BEGIN QE (MONEY PRINTING) TO PREVENT ANOTHER MARKET CRASH.
SOMETHING TERRIBLE IS HAPPENING RIGHT NOWβ¦
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TradersQue retweeted
THE VIDEO: Union Pacific Big Boy 4014 passes over the Tunkhannock Viaduct.
A 1.2-million-pound steam legend crossing one of the largest concrete railroad viaducts ever built. Nicholson, Pennsylvania delivered an unforgettable scene today.
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325,060
TradersQue retweeted
May 31
β‘ Squeeze Indicator Scan - Week of June 1st β‘
$EOSE β’ $SOUN β’ $UPST β’ $TEM β’ $SERV β’ $ONDS β’ $CRML β’ $ELMT
π₯ Tier 1 - Strongest Current Structures
$SOUN π― Squeeze Score: 89%
β’ Short Float: 39.2%
β’ Shares Short: 150.96M
β’ Days to Cover: 4.08
β’ Gamma Zone: $9.25-10.00
β’ Key Trigger: $10
π Pressure activating after reclaiming key levels.
$UPST π― Squeeze Score: 87%
β’ Short Float: 32.5%
β’ Days to Cover: 6.5
β’ Strong options activity
β’ Gamma-sensitive structure
π One of the strongest momentum squeeze candidates.
$TEM π― Squeeze Score: 84%
β’ Elevated short positioning - 33.2%
β’ Strong AI healthcare narrative
β’ Institutional accumulation profile
π Early-stage squeeze structure with strong catalyst potential.
β‘ Tier 2 - Developing Pressure
$ONDS π― Squeeze Score: 79%
β’ Elevated short interest - 31%
β’ Defense/drone sector momentum
β’ Strong volume participation
π Needs increasing borrow stress for full squeeze conditions.
$SERV π― Squeeze Score: 77%
β’ Elevated short interest - 31%
β’ Robotics/AI narrative
β’ Low float characteristics
β’ High volatility profile
π Momentum-driven squeeze candidate.
$EOSE π― Squeeze Score: 75%
β’ Elevated short interest - 31%
β’ Energy storage sector tailwind
β’ Elevated short positioning
β’ Improving technical structure
π Watch for breakout volume expansion.
π‘ Tier 3 - Watchlist Setups
$CRML π― Squeeze Score: 68%
β’ Elevated short interest - 31%
β’ Critical minerals narrative
β’ Speculative participation increasing
β’ Needs sustained volume
π Developing structure, not yet active.
$ELMT π― Squeeze Score: 62%
β’ Elevated short interest - 43%
β’ Low volume participation
β’ Early accumulation signals
β’ Limited squeeze pressure currently
π Requires catalyst volume ignition.
π Current GVM Ranking
$SOUN π₯
$UPST π₯
$TEM π₯
$ONDS β‘
$SERV β‘
$EOSE β‘
$CRML π‘
$ELMT π‘
π§ AI remains the dominant squeeze theme.
The strongest pressure structures continue to be:
$SOUN $UPST $TEM
These are the names most likely to react if volume, options flow, and sector momentum accelerate.
#SOUN #UPST #TEM #ONDS #SERV #EOSE #CRML #ELMT #ShortSqueeze #GammaSqueeze #GVM
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TradersQue retweeted
Jun 13
$SERV: A Simple Valuation Comparison
Many investors know that Uber $UBER acquired Postmates in 2020 for approximately $2.65 billion.
What's interesting is that Serve Robotics originally came out of Postmates, making that acquisition a useful reference point when thinking about SERV's potential value.
SERV currently has about 77 million shares outstanding.
If SERV were valued at the same $2.65 billion that Uber paid for Postmates:
$2.65 Billion Γ· 77 Million Shares = $34.42 per share.
SERV is attempting to automate the most expensive part of delivery: the last mile.
Uber remains a strategic partner.
Not financial advice. Just a valuation comparison using the Postmates acquisition as a reference point.
x.com/QueTraders/status/2065β¦
Jun 13
PDT Removal Could Be the Biggest Retail Market Catalyst Since $AMC & $GME Era. ππ π€―
More active traders. More liquidity. More option flow. More gamma exposure.
If retail regains participation, shorts may have to adapt to a market they haven't faced since 2020. π
π₯ We've built a #GVM #Squeeze #Indicator just for this, follow/like to participate. No Subscription or fees.
GVM: Growth-Volume-Momentum
Our model filters out the best practical setups - 3x setups, undervalued, catalysts, growth, Darkpool, Institutional, stressed float dynamics, reclaim levels, predictive outcomes, volume expansion, pure greed index.
Shorts don't fear retail investors.
They fear retail investors who find the same undervalued setup at the same time.
High SI. Tight float. Rising volume. Growing awareness.
That's when the pressure starts.
Nobody needs coordination. The data speaks for itself. When risk outweighs conviction, shorts become buyers. One play at a time.
#ShortSqueeze #RetailInvesting #Stocks #MarketStructure #DYOR
x.com/QueTraders/status/2065β¦
1
1
540
Jun 13
PDT Removal Could Be the Biggest Retail Market Catalyst Since $AMC & $GME Era. ππ π€―
More active traders. More liquidity. More option flow. More gamma exposure.
If retail regains participation, shorts may have to adapt to a market they haven't faced since 2020. π
π₯ We've built a #GVM #Squeeze #Indicator just for this, follow/like to participate. No Subscription or fees.
GVM: Growth-Volume-Momentum
Our model filters out the best practical setups - 3x setups, undervalued, catalysts, growth, Darkpool, Institutional, stressed float dynamics, reclaim levels, predictive outcomes, volume expansion, pure greed index.
Shorts don't fear retail investors.
They fear retail investors who find the same undervalued setup at the same time.
High SI. Tight float. Rising volume. Growing awareness.
That's when the pressure starts.
Nobody needs coordination. The data speaks for itself. When risk outweighs conviction, shorts become buyers. One play at a time.
#ShortSqueeze #RetailInvesting #Stocks #MarketStructure #DYOR
x.com/QueTraders/status/2065β¦
Jun 13
$SERV keeps gettng knocked down this week by shorts, not sellers. π€
Here's what nobody sees. π
Buyout candidacy discussed this week across multiple firms. Poor exposure due to recent events.
Postmate, cost Uber $2.6B before it was Serve Robotics Spinoff. Sitting under $600M market cap today.
Huge connections and investment stack, $NVDA, $UBER, $DASH $SYM, $WMT, any idea what the last two have in common?
Robot delivery utilization has increased more than 1400% in 2026. With 2000 units deployed. Scaling shows infrastructure supports expansion.
Technical:
56% off exchange Darkpool volume is the highest in 30 days, between $7-9 range = 100M volume.
77M Share Float
29% Short Interest
@ 21M shares
4.2 days to cover
- Tracked 550k being used daily to aid price control.
Multiple higher gaps to fill, perfect setup for a potential squeeze with 85% rating. Trigger = above avg volume and $9 price reclaim.
Future Valuation Multiples range from normal to full scale.
Short term 3-6x
2030 39-79x
The Math π Part 1 - Retail Ops.
x.com/QueTraders/status/2063β¦
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1
945
May 31
β‘ Squeeze Indicator Scan - Week of June 1st β‘
$EOSE β’ $SOUN β’ $UPST β’ $TEM β’ $SERV β’ $ONDS β’ $CRML β’ $ELMT
π₯ Tier 1 - Strongest Current Structures
$SOUN π― Squeeze Score: 89%
β’ Short Float: 39.2%
β’ Shares Short: 150.96M
β’ Days to Cover: 4.08
β’ Gamma Zone: $9.25-10.00
β’ Key Trigger: $10
π Pressure activating after reclaiming key levels.
$UPST π― Squeeze Score: 87%
β’ Short Float: 32.5%
β’ Days to Cover: 6.5
β’ Strong options activity
β’ Gamma-sensitive structure
π One of the strongest momentum squeeze candidates.
$TEM π― Squeeze Score: 84%
β’ Elevated short positioning - 33.2%
β’ Strong AI healthcare narrative
β’ Institutional accumulation profile
π Early-stage squeeze structure with strong catalyst potential.
β‘ Tier 2 - Developing Pressure
$ONDS π― Squeeze Score: 79%
β’ Elevated short interest - 31%
β’ Defense/drone sector momentum
β’ Strong volume participation
π Needs increasing borrow stress for full squeeze conditions.
$SERV π― Squeeze Score: 77%
β’ Elevated short interest - 31%
β’ Robotics/AI narrative
β’ Low float characteristics
β’ High volatility profile
π Momentum-driven squeeze candidate.
$EOSE π― Squeeze Score: 75%
β’ Elevated short interest - 31%
β’ Energy storage sector tailwind
β’ Elevated short positioning
β’ Improving technical structure
π Watch for breakout volume expansion.
π‘ Tier 3 - Watchlist Setups
$CRML π― Squeeze Score: 68%
β’ Elevated short interest - 31%
β’ Critical minerals narrative
β’ Speculative participation increasing
β’ Needs sustained volume
π Developing structure, not yet active.
$ELMT π― Squeeze Score: 62%
β’ Elevated short interest - 43%
β’ Low volume participation
β’ Early accumulation signals
β’ Limited squeeze pressure currently
π Requires catalyst volume ignition.
π Current GVM Ranking
$SOUN π₯
$UPST π₯
$TEM π₯
$ONDS β‘
$SERV β‘
$EOSE β‘
$CRML π‘
$ELMT π‘
π§ AI remains the dominant squeeze theme.
The strongest pressure structures continue to be:
$SOUN $UPST $TEM
These are the names most likely to react if volume, options flow, and sector momentum accelerate.
#SOUN #UPST #TEM #ONDS #SERV #EOSE #CRML #ELMT #ShortSqueeze #GammaSqueeze #GVM
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May 28
$SOUN β‘
π― Squeeze Score: 94% (Live Refresh)
π» GVM Squeeze Indicator
π Updated Short Interest
Short Float: 40.78β41%
Shares Short: 157.1M
Days to Cover: 5.24
Short Interest Change: 7.13%
π Shorts are STILL increasing exposure aggressively.
π₯ Borrow Conditions (Updated)
Borrow Fee (CTB): 16.5β17% current
previously exceeded 30%
Borrow Availability:
FTDs: 2.24M shares failed to deliver
currently 1.6Mβ3.3M shares available
previously collapsed near 20K shares
π Supply loosened slightlyβ¦
BUT crowding remains EXTREME relative to float.
β‘ Most Important Change
The squeeze structure is shifting from: βborrow stress dominantβ
toward: βgamma crowding dominantβ
Meaning:
β Borrow pressure eased somewhat
β
Short interest remains near peak levels
β
DTC still elevated
β
Gamma sensitivity still very high
β
Latest SEC FTDs: 2.24M shares failed to deliver
π Gamma Pressure Zones
π‘ $8.43 = reaction/support zone
π’ $8.73 = reclaim confirmation
π₯ $9.25 = gamma activation zone
π $10 = forced-cover acceleration risk
π Above $10: dealer hedging short covering can stack rapidly.
π Volume Context
Current average volume:
30M shares
π Volume still remains the TRUE ignition trigger.
π§ Macro Read
AI momentum remains supportive:
β
enterprise AI narrative
β
NVDA sector sympathy
β
continued speculative AI flows
BUT:
β οΈ SOUN still needs breakout participation to trigger full squeeze behavior.
π Bottom Line
$SOUN still ranks among the STRONGEST active AI squeeze structures.
β
41% short float
β
157M shares short
β
elevated DTC
β
strong gamma sensitivity
β
active AI narrative
#SOUN #ShortSqueeze #GammaSqueeze #GVM #AIStocks #Stocks #Trading
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$SOUN Short Squeeze Monitor
New Meaningful Change
The most notable development is a further tightening in borrow availability:
Shares available to borrow have declined from roughly 300Kβ350K down to about 200K shares.
Borrow fee remains elevated around 8.9β9.1%, showing that the borrow market remains constrained despite a slight decline from recent peaks.
Current Squeeze Metrics
Short interest remains approximately 150.31 million shares, or 38.1% of float.
Days-to-cover remains approximately 6.07 days, significantly higher than the 4.08 reading from the prior reporting.
Off-exchange short-volume ratio remains elevated at approximately 55.6%.
Why This Matters
The combination of:
1. ~38% short interest,
2. 6 days-to-cover,
3. shrinking borrow inventory (200K shares),
4. sustained borrow fees near 9%,
keeps SOUN in a structurally elevated squeeze setup. The reduction in available shares is the primary change since the previous scan.
Catalyst and Volume Check
No confirmed breakout-volume event has emerged.
No major new SoundHound AI contract, partnership, earnings surprise, or broader AI-sector catalyst capable of forcing widespread short covering was identified in this scan.
Assessment
Status: Elevated Watch
Conditions have tightened modestly due to declining borrow availability, but there is still no evidence of an active squeeze trigger. A significant increase in volume, a sharp rise in borrow fees, a reduction of borrow inventory toward zero, or a major AI-related catalyst would be the next signals to watch.
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TradersQue retweeted
Jun 13
PDT Removal Could Be the Biggest Retail Market Catalyst Since $AMC & $GME Era. ππ π€―
More active traders. More liquidity. More option flow. More gamma exposure.
If retail regains participation, shorts may have to adapt to a market they haven't faced since 2020. π
π₯ We've built a #GVM #Squeeze #Indicator just for this, follow/like to participate. No Subscription or fees.
GVM: Growth-Volume-Momentum
Our model filters out the best practical setups - 3x setups, undervalued, catalysts, growth, Darkpool, Institutional, stressed float dynamics, reclaim levels, predictive outcomes, volume expansion, pure greed index.
Shorts don't fear retail investors.
They fear retail investors who find the same undervalued setup at the same time.
High SI. Tight float. Rising volume. Growing awareness.
That's when the pressure starts.
Nobody needs coordination. The data speaks for itself. When risk outweighs conviction, shorts become buyers. One play at a time.
#ShortSqueeze #RetailInvesting #Stocks #MarketStructure #DYOR
x.com/QueTraders/status/2065β¦
Jun 13
$SERV keeps gettng knocked down this week by shorts, not sellers. π€
Here's what nobody sees. π
Buyout candidacy discussed this week across multiple firms. Poor exposure due to recent events.
Postmate, cost Uber $2.6B before it was Serve Robotics Spinoff. Sitting under $600M market cap today.
Huge connections and investment stack, $NVDA, $UBER, $DASH $SYM, $WMT, any idea what the last two have in common?
Robot delivery utilization has increased more than 1400% in 2026. With 2000 units deployed. Scaling shows infrastructure supports expansion.
Technical:
56% off exchange Darkpool volume is the highest in 30 days, between $7-9 range = 100M volume.
77M Share Float
29% Short Interest
@ 21M shares
4.2 days to cover
- Tracked 550k being used daily to aid price control.
Multiple higher gaps to fill, perfect setup for a potential squeeze with 85% rating. Trigger = above avg volume and $9 price reclaim.
Future Valuation Multiples range from normal to full scale.
Short term 3-6x
2030 39-79x
The Math π Part 1 - Retail Ops.
x.com/QueTraders/status/2063β¦
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1
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Jun 13
Starts Here!! π
x.com/QueTraders/status/2064β¦
Jun 10
$SERV β‘π
As of: June 10, 2026
π― Squeeze Score: 84%
π» GVM Squeeze Indicator
π Short Pressure
- Shares Short: 21.21M
- Short Float: 28.85%
- Days to Cover: 4.2
- Short Interest Change: -0.99%
π Short pressure remains elevated, but the latest official update shows slight cooling.
π₯ Borrow Conditions
- CTB: 19%
- Borrow Available: 45K shares
π Borrow supply is tight.
π CTB is elevated enough to support squeeze pressure.
π Off-Exchange Flow
- Off-Exchange Short Volume: 52.36%
π Internalized short activity remains high.
π Gamma Structure
- Momentum Trigger: Break above recent highs
- Gamma Activation: Continuation with volume
- Forced Cover Risk: Strong breakout tight borrow supply
π Volume Read
- Recent Volume: 7.79M
- Avg Volume Used for DTC: 5.06M
π Participation is constructive and above the DTC average.
π§ GVM Read
- Short Pressure: High
- Borrow Stress: Elevated
- Volume: Improving
- Gamma Sensitivity: Active
- Robotics/AI Narrative: Strong
π Bottom Line
SERV has improved from a pure momentum setup into a stronger squeeze structure.
The key change:
Borrow availability is tight while short float remains high.
π₯ If volume expands with a breakout, SERV can move quickly into higher squeeze-risk territory.
#SERV #Robotics #AIStocks #ShortSqueeze #GammaSqueeze #GVM #Stocks #Trading
41
Jun 13
$SERV keeps gettng knocked down this week by shorts, not sellers. π€
Here's what nobody sees. π
Buyout candidacy discussed this week across multiple firms. Poor exposure due to recent events.
Postmate, cost Uber $2.6B before it was Serve Robotics Spinoff. Sitting under $600M market cap today.
Huge connections and investment stack, $NVDA, $UBER, $DASH $SYM, $WMT, any idea what the last two have in common?
Robot delivery utilization has increased more than 1400% in 2026. With 2000 units deployed. Scaling shows infrastructure supports expansion.
Technical:
56% off exchange Darkpool volume is the highest in 30 days, between $7-9 range = 100M volume.
77M Share Float
29% Short Interest
@ 21M shares
4.2 days to cover
- Tracked 550k being used daily to aid price control.
Multiple higher gaps to fill, perfect setup for a potential squeeze with 85% rating. Trigger = above avg volume and $9 price reclaim.
Future Valuation Multiples range from normal to full scale.
Short term 3-6x
2030 39-79x
The Math π Part 1 - Retail Ops.
x.com/QueTraders/status/2063β¦
Jun 8
$SERV Scale Math Is Wild π
Current robot economics:
1 robot = $13,000 annual revenue
500 robots in a city = $6.5M annual revenue
Now assume SERV reaches deployments similar to the proposed Los Angeles scale in every major city over 1 million population.
706 cities globally projected to have populations over 1M by 2030
500 robots per city
Total fleet: 353,000 robots
Revenue math:
353,000 robots Γ $13,000 = $4.59 BILLION annual revenue
$4.59B would make SERV a completely different company.
Valuation examples: 5Γ sales
= $22.9B market cap
β $304/share
This is not a prediction. It's simply what the math looks like if SERV achieves large-scale adoption across major global cities.
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Jun 13
Jun 9
Serve Robotics (NASDAQ: $SERV ): Physical AI Platform or Overvalued Delivery Robot Company? tradersque.com/serve-roboticβ¦
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TradersQue retweeted
Jun 13
$SERV keeps gettng knocked down this week by shorts, not sellers. π€
Here's what nobody sees. π
Buyout candidacy discussed this week across multiple firms. Poor exposure due to recent events.
Postmate, cost Uber $2.6B before it was Serve Robotics Spinoff. Sitting under $600M market cap today.
Huge connections and investment stack, $NVDA, $UBER, $DASH $SYM, $WMT, any idea what the last two have in common?
Robot delivery utilization has increased more than 1400% in 2026. With 2000 units deployed. Scaling shows infrastructure supports expansion.
Technical:
56% off exchange Darkpool volume is the highest in 30 days, between $7-9 range = 100M volume.
77M Share Float
29% Short Interest
@ 21M shares
4.2 days to cover
- Tracked 550k being used daily to aid price control.
Multiple higher gaps to fill, perfect setup for a potential squeeze with 85% rating. Trigger = above avg volume and $9 price reclaim.
Future Valuation Multiples range from normal to full scale.
Short term 3-6x
2030 39-79x
The Math π Part 1 - Retail Ops.
x.com/QueTraders/status/2063β¦
Jun 8
$SERV Scale Math Is Wild π
Current robot economics:
1 robot = $13,000 annual revenue
500 robots in a city = $6.5M annual revenue
Now assume SERV reaches deployments similar to the proposed Los Angeles scale in every major city over 1 million population.
706 cities globally projected to have populations over 1M by 2030
500 robots per city
Total fleet: 353,000 robots
Revenue math:
353,000 robots Γ $13,000 = $4.59 BILLION annual revenue
$4.59B would make SERV a completely different company.
Valuation examples: 5Γ sales
= $22.9B market cap
β $304/share
This is not a prediction. It's simply what the math looks like if SERV achieves large-scale adoption across major global cities.
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1
702
Jun 13
So, it shall begin... π
Is this bullish?
Asking for a friend. π
x.com/Daily_MailUS/status/20β¦
Jun 12
'The Director of Intelligence, US Air Force has informed the Navy Department that a cycle of reappearance of "Flying Discs" is becoming apparent, and that the beginning of a new interval is imminent' trib.al/7YCFuuV π
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TradersQue retweeted
Jun 12
BREAKING: SpaceX options to begin trading Tuesday
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Jun 13
The comments are an epic treasure trove. π π
x.com/ImBreckWorsham/status/β¦
Posted and then almost instantaneously removed.
What the literal hell is this?
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