Aqeel

Stocks and options trader, my tweets are trade log and not a financial advise

[Felix Prehn 🐶 @felixprehn]

NVIDIA was $10 in 2022. Palantir was $8 in 2023. Both went up 20x times.

While everyone’s buying the same popular tech stock, there are 5 companies NOBODY is talking about that could hit similar returns.

Here's what they are + why I believe this:

1) NANO Nuclear Energy (NNE)

[Ihtesham Ali @ihteshamali]

Here is the link for you:

https://t.co/xlNTelkiAz

[peoplewish @Peoplewish]

If you feel lost, stop what you are doing and start from square one.

Most people try to fix the wrong problem.

They think they need more information, more tools, more indicators, more motivation, more opinions.

They don’t.

They need a real goal.

Define the goal.

What are you actually trying to accomplish?

Not the vague version. Not the version that sounds good online. The real version, relative to your actual life, your actual constraints, your actual responsibilities, and the things that matter most to you.

You need to make an agreement with yourself.

What matters?
What are you willing to sacrifice?
What are you not willing to sacrifice?
What constraints are real?
What constraints are just excuses?
What does winning actually look like?

Your goal needs to be hardened into something clear enough to guide your decisions. It should become the standard every action is held against.

Build the simplest system that can move you toward that goal.

Do not overcomplicate it.

Most people fail because they build systems they cannot actually follow. Start simple. Build the smallest repeatable process that creates progress.

Test the system.

Pilot it in the real world.

See where it breaks. See where you break. See what works. See what was theory and what actually holds up under pressure.

Install a continuous improvement loop.

Every day, evaluate your actions against your goal.

Did your behavior move you closer or further away?
Did the system work?
Did you follow it?
What needs to be removed?
What needs to be improved?
What needs to be repeated?

This is where the compounding happens.

Revisit the goal.

Your goal is your north star, but you are still allowed to grow.

As your life changes, your goals may change. That does not mean you failed. It means you need to periodically make sure the thing you are chasing is still worth chasing.

Apply this to everything.

Not just trading.

Your body. Your business. Your relationships. Your money. Your habits. Your craft. Your life.

Incremental improvement across all areas is how you compound into something great.

One day at a time.

One step at a time.

[Ben Calusinski @BCalusinski]

This tells you exactly how to build a proper portfolio, instead of gambling your $$$ away in markets

[peoplewish @Peoplewish]

No matter how small your account is, commit now to strictly following four scalable principles:

Risk-on / risk-off filter:
Know when to trade and when to observe. Going to the beach isn’t much fun in the middle of winter. Build yourself a machine where, when the light is green, you press it and make more than you lose. When the light is red, you don’t press it, because that’s how lose more than you make.

Responsible position sizing:
Use roughly 10% of equity until your account size forces you to go smaller. The Legend of Sissa.

Simple entry tactics:
Use century-old patterns with edge. PowerBait caught big bass 50 years ago, and people are still catching big bass with it today.

Simple exit tactics:
Trail moving averages. People don’t take a new route home from work every day just for fun. They take the fastest, easiest, most reliable route. Use the same path until there’s a real reason not to.

It will feel slow at first, but good habits compound. A few years from now, you’ll look back and regret not committing sooner, but you’ll be damn glad you finally did.

[Tale St. Trading @TaleSt_Trading]

Made it public after some tweaks: https://t.co/5rfzMS1Dey

Main features:
1. You can add your own groups with tickers and target ETF
2. You can specify which ticker to use based on TW's industry.
3. You can change the RS weighting. I use shorter RS than normally.

[Lin @Speculator_io]

Solar will power the future of AI.

Elon said “solar electricity will become by far the biggest source of power for civilization".

So, here's the breakdown of the solar sector:

Solar Panels
$FSLR First Solar
$JKS JinkoSolar
$TE T1 Energy
$CSIQ Canadian Solar

Plant Operators
$CWEN Clearway Energy
$ENLT Enlight Renewable Energy
$SPRU Spruce Power

Tracker Systems
$NXT Nextpower
$ARRY Array Technologies
$SHLS Shoals Technologies

Residential
$RUN Sunrun
$TSLA Tesla
$SPWR SunPower

Inverters
$ENPH Enphase Energy
$SEDG SolarEdge Technologies

Energy Providers
$NEE NextEra Energy
$BEP Brookfield Renewable Partners
$AEP American Electric Power

Materials & Equipment
$DQ Daqo New Energy
$VECO Veeco Instruments

[Lin @Speculator_io]

Focus on the leading stocks:

Market Leaders
$SNDK Sandisk
$WDC Western Digital
$STX Seagate
$ARM Arm Holdings
$MU Micron
$MRVL Marvell Technology
$DELL Dell
$BE Bloom Energy
$NBIS Nebius
$FLEX Flex
$AMD AMD
$TSEM Tower Semiconductor
$ASX ASE
$NOK Nokia
$ALAB Astera Labs
$LRCX Lam Research
$TER Teradyne

Next-Gen Leaders
$MXL MaxLinear
$AAOI Applied Optoelectronics
$ICHR Ichor
$UCTT Ultra Clean
$VSH Vishay Intertechnology
$DOCN DigitalOcean
$ATEX Anterix
$VPG Vishay Precision Group
$CDNL Cardinal Infrastructure
$VICR Vicor
$VIAV VIAVI Solutions
$STRL Sterling Infra
$AMBQ Ambiq
$POWL Powell Industries
$HUT Hut 8 Mining
$FORM FormFactor
$FPS Forgent Power

Speculative Leaders
$RXT Rackspace
$AEHR Aehr Test Systems
$HYLN Hyllion
$OPTX Syntec Optics
$PENG Penguin Solutions
$NVTS Navitas Semi
$AMPG Amplitech
$PURR Hyperliquid Strategies
$MRAM Everspin
$FCEL FuelCell Energy
$OSS One Stop Systems
$WULF TeraWulf
$WYFI WhiteFiber
$UMAC Unusual Machines
$OUST Ouster
$POET POET

Never miss a leading stock here:
https://t.co/9MX5NqhVBU

[Lin @Speculator_io]

For years, AI infrastructure has been the leading theme.

And there is no reason to think that has changed.

It has only accelerated.

Chips: $NVDA $AVGO $AMD $ASML $ARM $KLAC
Foundry: $TSM $INTC
Memory: $SNDK $MU $WDC $STX
Networking: $CRDO $ALAB $ANET $MRVL
Photonics: $AAOI $SIVE $AXTI $LITE $COHR $GLW
Servers: $VRT $DELL $HPE
Energy: $BE $TLN $GEV $TE
Data: $INOD $SNOW $DDOG
Neoclouds: $NBIS $CRWV $APLD $IREN $WYFI $BRUN

[Michael | Hypermarkets @itsmichaelluu]

$SPCX makes $20B/year with $2 trillion valuation.

Its revenue will 100x in a few years says $GS.

These 20 companies will explode 10x-20x with $SPCX:

LAUNCH & INFRASTRUCTURE

1. $RKLB (Rocket Lab) — Small satellite launcher, competes & complements SpaceX launch cadence

2. $ASTS (AST SpaceMobile) — Direct-to-cell satellite network, mirrors Starlink Mobile ambitions

3. $LUNR (Intuitive Machines) — NASA lunar lander contracts, Starship Moon mission ground support

4. $RDW (Redwire Space) — Manufactures solar arrays and hardware for satellites and space stations

5. $MNTS (Momentus) — In-space transportation, moves payloads after SpaceX delivers to orbit

SATELLITES & CONNECTIVITY

6. $VSAT (Viasat) — Competing satellite broadband, acquires customers Starlink will absorb

7. $MAXR (Maxar Technologies) — Earth observation satellites, data sold to DoD & NRO like Starshield

8. $GILT (Globalink) — Satellite ground infrastructure connecting Starlink-adjacent networks

9. $IRDM (Iridium) — L-band satellite network, potential Starlink Direct-to-Cell displacement target

10. $TSAT (Telesat) — LEO broadband constellation, competes directly with Starlink globally

DEFENSE & CLASSIFIED

11. $LMT (Lockheed Martin) — Pentagon space contracts, NRO partner overlapping Starshield territory

12. $NOC (Northrop Grumman) — Classified satellite buses, DoD space contracts Starshield competes for

13. $RTX (Raytheon) — Space-based missile defense systems, DoD customer SpaceX serves

14. $KTOS (Kratos Defense) — Satellite ground systems and space communication infrastructure

SEMICONDUCTORS & COMPUTE

15. $NVDA (Nvidia) — AI chips powering orbital compute satellites, critical to AI1 constellation

16. $INTC (Intel) — TerFab chip factory partner in Texas alongside $SPCX and $TSLA

17. $AVGO (Broadcom) — Custom ASICs for satellite modems and RF communication chips

GROUND SYSTEMS & POWER

18. $BSFC (Blue Safari) — Satellite ground station network enabling Starlink data offload

19. $EOSE (Eos Energy) — Grid-scale battery storage powering $SPCX launch facilities

20. $NEE (NextEra Energy) — Largest renewable energy provider supplying $SPCX launch & data centers

I'm 100% adding $SPCX long term + 3 space leaders.

♻️ RESHARE this post and write 1 comment, I'll share my favorite SPACE stocks under $20 with you.

[Lone Stock Trader @LoneStockTrader]

I just created a simplified version of the great Relative Volume at time indicator on TradingView by e2e4mfck and LucF.
I wanted a visually simplified way to know whether the current intraday volume is higher/lower than the average volume a the time.

Note:
- It only works on intraday time frames.
- Color 0 / 1 / 2 / 3 = the histogram colors:
- lime = very strong volume, >= 2.0
- teal/green = above-average volume, >= 1.0
- red = below-average volume
- gray = neutral / unavailable

Here's the pine script code below:
=====================================

//@version=4
MAX_BARS_BACK = 5000

study("Simple Relative Volume at Time", "Simple RelVol Time", false, max_bars_back = MAX_BARS_BACK)

// Inputs
i_period = input(5, "Past Volume Lookback in Days", minval = 1)
i_tf = input("D", "Comparison Timeframe", type = input.resolution)

// Colors
c_high = https://t.co/bYVA7SiStw(color.lime, 0)
c_above = https://t.co/bYVA7SiStw(color.teal, 0)
c_low = https://t.co/bYVA7SiStw(https://t.co/JMQEbO4dvr, 0)
c_neut = https://t.co/bYVA7SiStw(color.gray, 40)

// Converts current chart timeframe into minutes
f_chartTfInMinutes() =>
float _resInMinutes = timeframe.multiplier * (
timeframe.isseconds ? 1. / 60 :
timeframe.isminutes ? 1. :
timeframe.isdaily ? 60. * 24 :
timeframe.isweekly ? 60. * 24 * 7 :
timeframe.ismonthly ? 60. * 24 * 30.4375 : na)

// Returns timeframe in minutes
f_tfInMinutes(_tf) =>
security(syminfo.tickerid, _tf, f_chartTfInMinutes(), lookahead = true)

// Farthest usable lookback
f_optimalLookback(_barNosAtTfTransitions, _userPeriods) =>
int _return = 0
for _i = _userPeriods - 1 to 0
if bar_index - array.get(_barNosAtTfTransitions, _i) > MAX_BARS_BACK - 1
break
_return := _return + 1
_return

// Average cumulative volume from prior TF periods at the same time offset
f_pastVolCum(_msSinceStartOfTf, _timeAtFarthest, _periods, _timesAtTfTransitions) =>
float[] _volumes = https://t.co/gKCqYVHFLm_float(0)
float _cumVolTot = 0.
int _tfNo = 1

var int _userSelectedNoOfPeriods = array.size(_timesAtTfTransitions) - 1

float _timeAtStartOfCurrentTf = array.get(_timesAtTfTransitions, _userSelectedNoOfPeriods)
float _timeAtStartOfPastTf = array.get(_timesAtTfTransitions, _userSelectedNoOfPeriods - 1)

for _i = 1 to MAX_BARS_BACK - 2
float _time = time[_i]

if _time < _timeAtFarthest or _tfNo > _periods
break

if _time < _timeAtStartOfCurrentTf
if _time - _timeAtStartOfPastTf <= _msSinceStartOfTf
_cumVolTot := _cumVolTot + volume[_i]

if _time == _timeAtStartOfPastTf
array.push(_volumes, _cumVolTot)

_tfNo := _tfNo + 1
_timeAtStartOfPastTf := nz(array.get(_timesAtTfTransitions, max(0, _userSelectedNoOfPeriods - _tfNo)))
_cumVolTot := 0.

nz(array.avg(_volumes))

// Detect new comparison timeframe
bool tfReset = nz(change(time(i_tf)), true)

// Store timeframe transition times and bar numbers
var float[] timesAtTfTransitions = https://t.co/gKCqYVHFLm_float(i_period + 1, time)
var int[] barNosAtTfTransitions = https://t.co/gKCqYVHFLm_int(i_period + 1, 0)

// Current cumulative volume
var float cumVolume = 0.

if tfReset
array.push(timesAtTfTransitions, time)
array.shift(timesAtTfTransitions)

array.push(barNosAtTfTransitions, bar_index)
array.shift(barNosAtTfTransitions)

cumVolume := volume
else
cumVolume := cumVolume + volume

// Lookback management
int cappedPeriod = min(i_period, f_optimalLookback(barNosAtTfTransitions, i_period))

float timeAtFarthestLookback = array.get(timesAtTfTransitions, i_period - cappedPeriod)
float msSinceStartOfTf = time - array.get(timesAtTfTransitions, i_period)

// Relative volume calculation
float pastVolume = f_pastVolCum(msSinceStartOfTf, timeAtFarthestLookback, cappedPeriod, timesAtTfTransitions)
float currentVolume = cumVolume
float relVol = pastVolume == 0 ? na : currentVolume / pastVolume

// Error protection
bool chartTfIsTooLow = f_chartTfInMinutes() > f_tfInMinutes(i_tf)
bool noVolume = na(volume)
bool dontPlot = chartTfIsTooLow or noVolume or na(relVol)

// Colors
color relVolColor =
relVol >= 2.0 ? c_high :
relVol >= 1.0 ? c_above :
relVol < 1.0 ? c_low :
c_neut

// Plot
plot(dontPlot ? na : relVol, "Relative Volume", relVolColor, 2, https://t.co/IMN3sLCBoc_columns)

hline(1.0, "Average Volume", color.gray, https://t.co/5ts5Be7wuv_dotted)
hline(1.5, "Strong Volume", https://t.co/bYVA7SiStw(https://t.co/N4LtTzobiO, 0), https://t.co/5ts5Be7wuv_dotted)
hline(2.0, "Very Strong Volume", https://t.co/bYVA7SiStw(color.lime, 0), https://t.co/5ts5Be7wuv_dotted)

// Data window values
plotchar(pastVolume, "Average Past Cumulative Volume", "", https://t.co/L0sJ9hLBVL, size = size.tiny)
plotchar(currentVolume, "Current Cumulative Volume", "", https://t.co/L0sJ9hLBVL, size = size.tiny)
plotchar(relVol, "Relative Volume Ratio", "", https://t.co/L0sJ9hLBVL, size = size.tiny)

// Background warning if chart timeframe is too high
bgcolor(chartTfIsTooLow ? https://t.co/bYVA7SiStw(https://t.co/JMQEbO4dvr, 80) : na)

[Z @ZeeContrarian1]

High Conviction Portfolio

About a year ago, my nephew gathered all his savings, and I told him we were going to invest it in the best ideas we could find.

Over the past 12 months, stocks have come and gone from the portfolio, but I believe the current setup is the strongest it’s ever been. The portfolio is up roughly 143% over the last 12 months.

The biggest contributors so far have been $ZIM, $STAA, and $IMDX.

After adding a few recent positions, I’ve decided not to make many changes. I believe this portfolio has the potential to double again over the next 12 months.

The current top three holdings, where I see the most asymmetric opportunities, are $WGS, $ORCL, and $NOW.

There is no leverage and no options. The strategy is simple: make very concentrated bets and allocate at least 30% to my highest-conviction idea at the time.

Most of the current positions were established over the last two to four weeks. Barring a major change in fundamentals, I don’t expect to make many changes from here.

My nephew is young and doesn’t need the money anytime soon, so this is truly a long-term portfolio. I have no intention of trading these positions.

These are my highest-conviction ideas based on where I see the greatest risk/reward opportunities today. Because of concentration, this portfolio can experience significant drawdowns along the way.

It’s designed for someone young with a long time horizon, not for everyone.

[Jeff Sun, CFTe @jfsrev]

Focus on these 46 leading names trading above $100M dollar volume — there are newer rotational group and may outperform what your current watchlist is surfacing. Run a 'Screen on Watchlist'' across the list for potential entry ideas.

$APP — Advertising Agencies
$FLY — Aerospace & Defense
$LUNR — Aerospace & Defense
$PL — Aerospace & Defense
$RCAT — Aerospace & Defense
$RDW — Aerospace & Defense
$RKLB — Aerospace & Defense
$CLSK — Crypto Mining / Capital Markets
$IREN — Crypto Mining / Capital Markets
$ASTS — Satellite Communication
$ONDS — Communication Equipment
$DELL — AI Servers & Infrastructure
$HPQ — Computer Hardware
$IONQ — Quantum Computing
$QBTS — Quantum Computing
$QUBT — Quantum Computing
$RGTI — Quantum Computing
$SMCI — AI Servers & Infrastructure
$SNDK — Storage Hardware
$UMAC — Drone Hardware
$PLUG — Hydrogen & Fuel Cells
$TE — Energy Infrastructure
$OUST — LiDAR & Sensors
$TTMI — Electronic Components
$APLD — AI Datacenter Infrastructure
$PENG — AI Infrastructure Services
$MP — Rare Earth Materials
$USAR — Rare Earth Materials
$COHR — Optical & Photonics
$ALAB — AI Connectivity Semis
$ARM — CPU Architecture
$CRDO — AI Networking Semis
$GFS — Semiconductor Foundry
$MRVL — AI Networking & Custom Chips
$MU — Memory & HBM
$NVTS — Power Semiconductors
$QCOM — Mobile & Edge AI Semis
$SMTC — Analog & Connectivity Semis
$TSEM — Specialty Semiconductor Foundry
$VSH — Discrete Semiconductors
$WOLF — Silicon Carbide Semiconductors
$BB — Cybersecurity & Software Infrastructure
$INFQ — Quantum Software Infrastructure
$NBIS — AI Cloud Infrastructure
$NTAP — Enterprise Storage & Data Infrastructure
$XNDU — Quantum Software Infrastructure

P.S Chapter 14 'Screen on Watchlist' - https://t.co/44wPqG8oFm

[peoplewish @Peoplewish]

Copy-and-pasteable block for your convenience.
NVDA, AMD, QCOM, AMBA, MBLY, PDYN, TSLA, XPEV, BYDDY, LI, NIO, RIVN, LCID, F, GM, HMC, HYMTF, TM, AVAV, DPRO, KTOS, RCAT, UAVS, ABBNY, FANUY, OMRNY, ROK, SIEGY, TER, YASKY, CGNX, KEYS, KYCCF, NOVT, ZBRA, KITT, KRKNF, AOSL, MPWR, ON, POWI, WOLF, IRBT, RR, SERV, KSCP, AMZN, SYM, ISRG, MBOT, MDT, SYK, EKSO, LFWD, AEVA, HSAI, INVZ, LAZR, LIDR, OUST

[peoplewish @Peoplewish]

The robotics trade is not one bucket.

It is a full-stack Embodied AI theme.

The question is not just:

“Who makes robots?”

The better question is:

Who owns the pieces required to make robots work — and who can actually produce finished robotic systems at scale?

This is why I think the obvious “robotics” basket is too narrow.

The real opportunity is the entire production stack:

compute, software, sensors, batteries, motors, power electronics, autonomy, factories, manufacturing systems, and distribution.

The BTC miner analogy is useful.

Some miners got a second life because AI data centers suddenly made their power, land, and infrastructure valuable.

EV platforms could rhyme with that.

The market may be underestimating which EV companies can repurpose factories, autonomy work, batteries, motors, and sensor stacks into humanoid robots, warehouse robots, delivery robots, drones, or other small-form robotic systems.

Tesla likely leads the American front.

But the broader robotics stack is much bigger than Tesla.

Sub-theme watchlist:

AI compute / robot brains:
$NVDA $AMD $QCOM

Vision chips / edge perception:
$AMBA

Autonomy software:
$MBLY $PDYN

Embodied AI / robot platform leaders:
$TSLA $XPEV $BYDDY

EV robot manufacturing platforms:
$RIVN $LI $NIO

Defense drones:
$AVAV $KTOS $RCAT

Industrial robotics:
$ABBNY $FANUY $TER

Machine vision / robotic inspection:
$CGNX $KYCCF $NOVT

Marine robotics:
$KITT $KRKNF

Power semis / robotic power control:
$MPWR $ON $POWI

Consumer / service robots:
$IRBT $RR $SERV

Security robots:
$KSCP

Warehouse robotics:
$AMZN $SYM

Surgical robotics:
$ISRG $SYK $MDT

Exoskeleton robotics:
$EKSO $LFWD

Robotic sensors / LiDAR:
$OUST $HSAI $AEVA

[Connor Bates @ConnorJBates_]

Charts of interest:

$CRWV $NBIS $LUNR $YSS $BKSY $RKLB $ASTS $PL $ARM $FLY $BE $AMPX $AMZN $GLW $TER $DELL $LWLG $SNDK $SEI $SKM $EWZ $MOD $SOLS $AMD $AMKR $SPIR $FCX $BWXT $HUT $TTMI $VIAV $TSEM $AAOI $AXTI $MRVL $AEHR

Finding the leaders is never the hard part. Getting positioned and catching the meat of the move is where it gets tricky.

Focus on stocks at or near new highs, with big bases and strong thematic or fundamental drivers. Those are the names that make the biggest moves when the environment cooperates.

[Z @ZeeContrarian1]

Usually once or twice a year, when the $VIX spikes to extremes, I tell my followers on instagram-regular people that usually sit on cash with no market knowledge to start buying.

I did it during COVID. I did it again when the market dropped ~15% on tariffs. This year, by luck, I nailed the exact bottom. I don’t always catch it perfectly, but I’m usually close enough.

To simplify things (so they don’t need me), I built a simple framework:

If the $VIX is above 30 and the market is down more than 8%, invest 50%-then scale in until fully invested.

I’ve attached a simple table below that shows if you have $10,000 in cash exactly how much to add at each step-so anyone can follow it without overthinking.

[Ryan Pierpont @RyanPierpont]

🧵Still a lot of noise out there, yet there seems to be even more names that don't care at all. Day by day. Have a good long weekend

[Lin @Speculator_io]

Focus on the leading stocks:

Market Leaders
$SNDK SanDisk
$BE Bloom Energy
$LITE Lumentum
$GLW Corning
$TER Teradyne
$WDC Western Digital
$VRT Vertiv
$FIX Comfort Systems
$ASX ASE Technology
$STX Seagate
$CIEN Ciena
$MU Micron
$COHR Coherent
$LRCX Lam Research
$UI Ubiquiti
$ASML ASML

Growth Leaders
$ICHR Ichor
$VICR Vicor
$FSLY Fastly
$VIAV VIAVI Solutions
$POWL Powell Industries
$ACMR ACM Research
$SOLS Solstice
$PSIX Power Solutions International
$AAOI Applied Optoelectronics
$LASR nLIGHT
$AEIS Advanced Energy Industries
$KLIC Kulicke & Soffa
$CAMT Camtek
$SKYT SkyWater Technology
$ENLT Enlight Renewable Energy
$Q Qnity

Speculative Leaders
$IBRX ImmunityBio
$ERAS Erasca
$OPTX Syntec Optics
$AXTI AXT Inc
$HYMC Hycroft Mining
$AEHR Aehr Test Systems
$UAMY United States Antimony
$NUA New Era Energy
$USAR USA Rare Earth
$WULF TeraWulf
$UUUU Energy Fuels
$RCAT Red Cat Holdings
$CPSH CPS Technologies
$NVTS Navitas Semiconductor
$UEC Uranium Energy Corp
$OSS One Stop Systems

Here's the full list: https://t.co/9MX5NqhVBU

[Lone Stock Trader @LoneStockTrader]

https://t.co/2haFhBI7r0