r/stocknear 4d ago

Announcement ⏳ 2 Days Left! Don't Miss Out on 50% OFF Your Pro Subscription – Spring Sale Ending Soon!

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2 Upvotes

🚨 Use Promo Code SPRINGSALE for 50% OFF Your Pro Subscription (Annual Plan)! 🚨

This exclusive 2-day offer is your chance to unlock premium data and start making smarter investments with consistent, high-quality returns. Don't wait—this deal won't last long!

🔗 Get Started Now


r/stocknear Feb 18 '25

Meme Before You Buy the Dip, Research on Stocknear – Become a Pro and Save Thousands in Potential Losses!

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5 Upvotes

r/stocknear 1h ago

🗞News🗞 Taiwan eyes zero tariffs with US, pledges more investment

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Upvotes

That was very much expected since Taiwan is extremely dependent on the US to interfere in case of an invasion of China.


r/stocknear 2h ago

🔥New Feature🔥 New Feature 🔥: Options Calculator

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3 Upvotes

Please leave an upvote or downvote if you think this feature is valueable or not.

If you have feedback what I can do to improve it to make it custom to your own setup please let me know.

Link: https://stocknear.com/options-calculator


r/stocknear 8h ago

Discussion Tesla's decline in Europe

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4 Upvotes

r/stocknear 1d ago

Meme Liquidation Day 2025, Never Forget

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5 Upvotes

r/stocknear 2d ago

Meme Big orange turd is in panic mode!!!

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11 Upvotes

r/stocknear 2d ago

Discussion Caught on data: While S&P500 dropped all day, institutions just loaded up $103.43M in dark pools with call premium at 3.7x put levels

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30 Upvotes

This is what market manipulation looks like in real-time. Today the S&P500 sold off aggressively, triggering retail stop losses and panic selling. But look what happened the moment markets closed: massive dark pool orders ($103.43M at 4:13PM alone) while call premium sits at $17.14M vs just -$4.62M for puts.

The price action says 'fear,' but institutional positioning says 'opportunity.'

I've been trading for 10 years and these divergences between public narrative and institutional action are the most reliable edge you can find.

Source: Stocknear


r/stocknear 2d ago

🐂Bullish Stonks🐂 🚨Gamestop is getting hit with massive Dark Pool Orders today🚨 | Going up to +9.1% where everyone else is going down

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6 Upvotes

Check it out in realtime here:

https://stocknear.com/stocks/GME/dark-pool


r/stocknear 2d ago

🐻Bearish Stonks🐻 Current State of the Market

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9 Upvotes

Realtime Updates are here:

https://stocknear.com/heatmap


r/stocknear 2d ago

📊Data/Charts/TA📈 Market Performance for today

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2 Upvotes

Get realtime updates here:

https://stocknear.com/heatmap


r/stocknear 2d ago

⚖️Economic Events🏛️ Today's Most Important Economic Events Summarized

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2 Upvotes

You can check it out here:

https://stocknear.com/economic-calendar


r/stocknear 2d ago

📊Data/Charts/TA📈 Top 5 Most Oversold Companies 📈

1 Upvotes
Rank Symbol RSI Price Change (%) Market Cap
1 CYCU 3.33 0.52 +2.02% 6.12M
2 LGMK 11.84 0.01 -5.70% 902,764
3 FC 11.99 20.66 +0.73% 272.62M
4 NYMTM 13.04 23.10 -2.54% 2.09B
5 VRPX 13.49 0.67 -45.12% 831,854

The complete list can be found here

I’ve compiled a list of the top 5 most oversold companies based on RSI (Relative Strength Index) data. For those who don’t know, RSI is a popular indicator that ranges from 0 to 100, with values below 30 typically indicating that a stock is oversold.

PS: If you find this post valuable please leave an upvote. Would love to hear what you guys think.


r/stocknear 2d ago

📊Data/Charts/TA📈 Top 5 Most Overbought Companies 📉

1 Upvotes
Rank Symbol RSI Price Change (%) Market Cap
1 AIFE 96.58 10.02 +0.10% 110.48M
2 HCVI 94.38 11.70 +0.26% 171.30M
3 OPOF 92.72 36.35 -1.28% 185.54M
4 TCRT 90.91 3.03 -28.20% 4.85M
5 PRA 87.08 23.25 -0.36% 1.19B

The complete list can be found here

I’ve compiled a list of the top 5 most overbought companies based on RSI (Relative Strength Index) data. For those who don’t know, RSI is a popular indicator that ranges from 0 to 100, with values above 70 typically indicating that a stock is overbought.

PS: If you find this post valuable please leave an upvote. Would love to hear what you guys think.


r/stocknear 2d ago

📊Data/Charts/TA📈 Top 5 Actively Traded Penny Stocks by Volume 🚀

1 Upvotes
Rank Symbol Price Change (%) Volume Market Cap
1 MULN 0.08 -1.64% 360.70M 287,276
2 DMN 0.01 -10.60% 273.31M 424,166
3 WCT 0.28 +42.77% 197.63M 5.92M
4 RSLS 0.45 +18.54% 121.49M 1.49M
5 IBO 0.92 +98.30% 114.12M 10.58M

The complete list can be found here

Penny stocks are generally defined as stocks trading below $5 per share. This list is filtered to show only stocks with a volume over 10K.

PS: If you find this post valuable please leave an upvote. Would love to hear what you guys think.


r/stocknear 2d ago

🗞News🗞 Trump’s Trade War Escalates as China Retaliates With 34% Tariffs

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3 Upvotes

r/stocknear 3d ago

Meme Trump has a message.

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66 Upvotes

r/stocknear 2d ago

📊Data/Charts/TA📈 🚨Dark Pool Whales Are Targeting GameStop Premarket – Get Ready🚨

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2 Upvotes

r/stocknear 2d ago

Discussion The 13 Stock Market Trading Laws

2 Upvotes

Hey eveyone,

Some of these laws are well-known trading mantras, and some might just be brutally honest truths. Curious how many will ring true for you?

1. Capital’s Law

Risk expands to fill the available capital.

No matter how cautious you think you are, the amount you’re willing to risk will eventually be fully exposed – often in ways you never expected.

When you allocate too much risk to a single trade or asset, you set the stage for larger-than-anticipated losses. A disciplined position sizing strategy is essential to keep capital safe.

2. Murphy’s Market Law

Anything that can go wrong in trading will go wrong at the worst possible moment.

Just when you think you have a solid plan, the market finds a way to surprise you – usually at the peak of your confidence.

This law reminds you that uncertainty is the only certainty. Always prepare for adverse scenarios with contingency plans and proper risk management.

3. FOMO’s Law

The fear of missing out pushes you to buy high and sell low.

When everyone’s hyped about the next big thing, it’s often the perfect setup for an overpriced entry and a painful exit.

Emotions can lead to irrational decisions. A cool head and a well-defined strategy help you avoid the pitfalls of impulsive trading based on hype.

4. Greed’s Reversal Law

Greed stretches winning trades into disastrous ones.

The moment you decide “just a little more” can turn a profitable run into a significant loss.

Knowing when to take profits is just as important as knowing when to cut losses. Overstaying in a trade due to greed can wipe out gains and hurt your long-term performance.

5. Stop-Loss Law

A plan without a stop-loss is a plan to lose money.

If you enter a trade without a predetermined exit point, you’re essentially inviting disaster.

Stop-loss orders aren’t just safety nets—they’re essential risk management tools. They force you to define your worst-case scenario and protect you from unpredictable market swings.

6. Overconfidence Law

After a winning streak, every trader becomes invincible—until the market proves otherwise.

Success can cloud judgment, making you believe the market owes you more wins than losses.

Overconfidence can lead to reckless risk-taking. Staying humble and continuously analyzing your trades can help maintain discipline and avoid complacency.

7. Analysis Paralysis Law

Overthinking the market can freeze you out of the best opportunities.

Spending too much time on charts and indicators can lead to missing the window for action.

Sometimes a simple, well-practiced strategy beats endless analysis. Trusting your trading plan and acting decisively is often more effective than seeking the “perfect” signal.

8. Herd Mentality Law

When everyone jumps into a trade, the smartest move is to step aside.

Following the crowd often means joining a sinking ship. The majority rarely makes optimal decisions.

Identifying when the herd is moving in and out can help you find contrarian opportunities. Independent thinking is a valuable asset in a market driven by sentiment.

9. Signal vs. Noise Law

Market noise drowns out the true signals—if you listen too closely, you’ll hear nothing but static.

Amid endless chatter and minor fluctuations, the real trends can be elusive.

Learning to filter out irrelevant information and focus on robust indicators can significantly improve your trading decisions. Quality over quantity in data analysis is key.

10. Information Decay Law

By the time the news breaks, the market has already moved on.

News travels fast—but often the reaction has been preemptively priced in by the time you see it.

Relying solely on breaking news for trade decisions can leave you a step behind. Developing strategies that account for this lag is crucial for consistent performance.

11. Emotional Trading Law

Emotions distort judgment more reliably than any market indicator.

Fear, excitement, and panic can turn even the best analysis into irrational actions.

Maintaining emotional discipline is as important as technical know-how. A trading plan that factors in your own biases and emotional triggers can help mitigate costly mistakes.

12. Time Decay Law

In trading, time erodes the value of every position that isn’t actively managed.

Every moment you hold a position, market conditions evolve—sometimes against you.

Active management and timely decisions are critical. Whether it’s an option losing time value or a stock drifting from its entry point, the clock is always ticking against you.

13. Market Memory Law

The market never forgets, and it will remind you of your mistakes—often in the worst way possible.

Every loss leaves a mark that can haunt future trades, whether you acknowledge it or not.

Why it matters

Learning from past errors is essential for long-term success. Embrace your mistakes, analyze them, and adjust your strategies accordingly to avoid repeating them.

None of these laws are written in stone—they’re simply guiding principles to help you navigate the wild, unpredictable world of trading. Embrace these mental models, refine your strategy, and remember: in the market, as in life, humility and discipline often trump sheer brilliance.

If you stick around to read all the mistakes you can check out Stocknear to avoid them all in one tab.


r/stocknear 3d ago

Meme So much winning

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216 Upvotes

r/stocknear 2d ago

Earnings Recent Earnings for Apr 4th 2025

2 Upvotes

Guess (GES) has released its quarterly earnings at 04:15 PM:

  • Revenue of 932.25M exceeds estimates by 24.50M, with 4.62% YoY growth.

  • EPS of $1.48 exceeds estimates by $0.10, with -26.37% YoY decline.

Lifecore Biomedical (LFCR) has released its quarterly earnings at 04:05 PM:

  • Revenue of 35.15M exceeds estimates by 1.92M, with -1.54% YoY decline.

  • EPS of $-0.28 misses estimates by $0.13, with -170.00% YoY decline.

Simulations Plus (SLP) has released its quarterly earnings at 04:06 PM:

  • Revenue of 22.43M exceeds estimates by 512,000, with 22.55% YoY growth.

  • EPS of $0.31 exceeds estimates by $0.05, with -3.12% YoY decline.

Lamb Weston Hldgs (LW) has released its quarterly earnings at 08:30 AM:

  • Revenue of 1.52B exceeds estimates by 31.00M, with 4.32% YoY growth.

  • EPS of $1.10 exceeds estimates by $0.23, with -8.33% YoY decline.

Conagra Brands (CAG) has released its quarterly earnings at 07:30 AM:

  • Revenue of 2.84B misses estimates by 59.00M, with -6.33% YoY decline.

  • EPS of $0.51 misses estimates by $0.02, with -26.09% YoY decline.

Lindsay (LNN) has released its quarterly earnings at 06:45 AM:

  • Revenue of 187.06M exceeds estimates by 9.68M, with 23.46% YoY growth.

  • EPS of $2.44 exceeds estimates by $0.55, with 48.78% YoY growth.

MSC Industrial Direct Co (MSM) has released its quarterly earnings at 06:30 AM:

  • Revenue of 891.72M misses estimates by 16.58M, with -4.66% YoY decline.

  • EPS of $0.72 misses estimates by $0.00, with -38.98% YoY decline.

Acuity Brands (AYI) has released its quarterly earnings at 06:00 AM:

  • Revenue of 1.01B misses estimates by 24.00M, with 11.05% YoY growth.

  • EPS of $3.73 exceeds estimates by $0.03, with 10.36% YoY growth.

Invest in yourself and embrace data-driven decisions to minimize losses, identify opportunities and achieve consistent growth with Stocknear 🚀


r/stocknear 2d ago

Earnings Upcoming Earnings for Apr 4th 2025

2 Upvotes
  • Levi Strauss (LEVI) will report Monday after market closes. Analysts estimate 1.64B in revenue (5.26% YoY) and $0.31 in earnings per share (19.23% YoY).

  • Greenbrier Companies (GBX) will report Monday after market closes. Analysts estimate 877.08M in revenue (1.67% YoY) and $1.24 in earnings per share (20.39% YoY).

  • Dave & Buster's Enter (PLAY) will report Monday after market closes. Analysts estimate 548.77M in revenue (-8.40% YoY) and $0.72 in earnings per share (-30.10% YoY).

Invest in yourself and embrace data-driven decisions to minimize losses, identify opportunities and achieve consistent growth with Stocknear 🚀


r/stocknear 2d ago

📊Data/Charts/TA📈 Premarket Gainers and Losers for Today 🚀📉

1 Upvotes

Here's a summary of today's Premarket Gainers and Losers, showcasing stocks that stood out before the market opened.

📈 Premarket Gainers

Symbol Name Price Change (%) Market Cap
CM Canadian Imperial Bank of Comm 61.46 +4.23% 55.43B
NWSA News Corporation 26.95 +3.42% 15.39B
COR Cencora 297.82 +2.90% 56.12B
RS Reliance Steel & Aluminum Co. 283.83 +2.90% 14.61B
EQR Equity Residential 69.98 +2.13% 26.02B

📉 Premarket Losers

Symbol Name Price Change (%) Market Cap
MUFG Mitsubishi UFJ Financial Group 10.37 -14.19% 140.19B
MFG Mizuho Financial Group, Inc. 4.25 -14.05% 62.05B
AFRM Affirm Holdings, Inc. 34.00 -13.11% 12.53B
CPAY Corpay, Inc. 280.01 -11.73% 22.29B
SMFG Sumitomo Mitsui Financial Grou 12.00 -11.54% 86.99B

More info can be found here: Premarket Gainers and Losers


r/stocknear 3d ago

📊Data/Charts/TA📈 Call your mom, orange man is winning so much for us

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13 Upvotes

Realtime updates for the heatmap can be found here:

https://stocknear.com/heatmap


r/stocknear 2d ago

📊Data/Charts/TA📈 Trump Effect: S&P500 down 10.19% since inauguration while Wall Street quietly positions for more downside

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0 Upvotes

Our platform supports a POTUS tracker to track everything in realtime:

https://stocknear.com/potus-tracker


r/stocknear 3d ago

📊Data/Charts/TA📈 Top 5 Most Oversold Companies 📈

4 Upvotes
Rank Symbol RSI Price Change (%) Market Cap
1 CYCU 3.27 0.50 -0.48% 5.94M
2 LGMK 11.98 0.02 -15.96% 957,294
3 LPRO 14.18 1.21 -5.86% 144.34M
4 MOVE 14.47 1.31 -9.03% 8.69M
5 EHLD 14.99 4.98 -10.59% 14.04M

The complete list can be found here

I’ve compiled a list of the top 5 most oversold companies based on RSI (Relative Strength Index) data. For those who don’t know, RSI is a popular indicator that ranges from 0 to 100, with values below 30 typically indicating that a stock is oversold.

PS: If you find this post valuable please leave an upvote. Would love to hear what you guys think.


r/stocknear 3d ago

📉Loss📉 All the Stocks that I am tracking right now. Thank you Mr. President for your help

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9 Upvotes