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Step by step, how to answer: - environment still constructive? - which themes are strongest/emerging? - which individual stocks are leading in those themes? 1) environment still constructive? - $vix under ~$20 - leaders of past month-ish still holding highs + behaving well - oil dropping 2) strongest/emerging themes?... - go to finviz - click maps in the top nav bar - click themes on the left panel - switch to 1-week performance from the dropdown - review that + look for rel strength - ^bonus: screenshot that from finviz + add prompt: analyze this market theme heatmap, average all subcategories within each theme, rank the themes from strongest to weakest, and explain where institutional money appears to be flowing. 3) individual stocks leading? - take the strongest themes from step 2 - go to finviz - click screener in the top nav bar - look for the "theme" filter - scroll to bottom, click "custom" - select the checkboxes of the strongest themes - filter those stocks by "perf week" (or month) - put leaders on watchlist answers: 1) yes. vix still crushed. leaders still leading. oil dropping. markets at all-time highs. 2) datacenters, cybersecurity, quantum, space, semis, ai. 3) $DELL, $IONQ, $IBM, $RGTI, etc. Hope this gets ya started, Lucshow more

Luc

36,693 subscribers

14,071 次观看 • 2 个月前 •via X (Twitter)

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All You Need Is Here —— 13 Qullamaggie's Stock and ETF Scans Intraday Scans "Which screen filters my scans? Sure. This is my 'Strongest' scan. These scans are for a specific watchlist I have of the strongest stocks—most of them are growth stocks. Then, like EPs, these are stocks that gap up 7.5% or are up at least 7.5% above yesterday's price, with at least $15 million in dollar volume. Then I have my Momentum watchlist. It’s also a specific watchlist where I pretty much scan for stocks that are up today in that watchlist above yesterday’s highs. This OTC scan... you don’t have to look at that, I’m gonna take it off. I don’t trade OTCs ever; they’ve been dead for many years. For my ETF scan, I look for $30 million in dollar volume and a 6% ADR (Average Daily Range). Then I have Lower Liquidity / Higher ADR scans. These are pretty much stocks that are not very liquid but have a very high ADR, so you can take a smaller position and still make decent money because the stock is likely to make a bigger move. So those are my intraday scans." Weekend & Overnight Scans "Then I have my weekend and overnight scans, which I use to build my watchlists. Pretty much, I scan for the strongest stocks on every timeframe—like one month, six months, three months, two years, one and a half years, etc. They all look the same: $60 million in dollar volume, 3.5% ADR, and ranked among the 7% strongest. The only difference is the timeframe. Then I also scan for the Biggest 5-Day Gainers: $60 million dollar volume and up 25% in the past five days. For ADRs (foreign stocks), you have to scan for them separately in TC2000: $60 million in dollar volume and 3% ADR. So those are pretty much my main scans. Then I also scan for our Biggest Losers on one and two-year timeframes just to find the beaten-down names that could make big moves."

All You Need Is Here —— 13 Qullamaggie's Stock and ETF Scans Intraday Scans "Which screen filters my scans? Sure. This is my 'Strongest' scan. These scans are for a specific watchlist I have of the strongest stocks—most of them are growth stocks. Then, like EPs, these are stocks that gap up 7.5% or are up at least 7.5% above yesterday's price, with at least $15 million in dollar volume. Then I have my Momentum watchlist. It’s also a specific watchlist where I pretty much scan for stocks that are up today in that watchlist above yesterday’s highs. This OTC scan... you don’t have to look at that, I’m gonna take it off. I don’t trade OTCs ever; they’ve been dead for many years. For my ETF scan, I look for $30 million in dollar volume and a 6% ADR (Average Daily Range). Then I have Lower Liquidity / Higher ADR scans. These are pretty much stocks that are not very liquid but have a very high ADR, so you can take a smaller position and still make decent money because the stock is likely to make a bigger move. So those are my intraday scans." Weekend & Overnight Scans "Then I have my weekend and overnight scans, which I use to build my watchlists. Pretty much, I scan for the strongest stocks on every timeframe—like one month, six months, three months, two years, one and a half years, etc. They all look the same: $60 million in dollar volume, 3.5% ADR, and ranked among the 7% strongest. The only difference is the timeframe. Then I also scan for the Biggest 5-Day Gainers: $60 million dollar volume and up 25% in the past five days. For ADRs (foreign stocks), you have to scan for them separately in TC2000: $60 million in dollar volume and 3% ADR. So those are pretty much my main scans. Then I also scan for our Biggest Losers on one and two-year timeframes just to find the beaten-down names that could make big moves."

Will Hu

17,836 次观看 • 4 个月前

Qullamaggie shows His Scans In-Depth “My scans? Sure. This is strongest scan. This scan scans specific watchlist I have for the strongest stocks - most of them are growth stocks. Then like EP, these are stocks that gap up seven and a half percent or are up at least seven and a half percent. Above yesterday’s highs and at least 15 million in dollar volume. Then I have my momentum watch list. It’s also a specific watch list I have. Pretty much scan stocks that are up today in that watch list. ETF scan. 30 million in dollar volume and 6% ADR. And then I have lower liquidity. Higher ADR, these are pretty much like stocks that are not very liquid but have a very high ADR. So you can take a smaller position and still make decent money because the stock is likely to make a bigger move. Those are my intra-day scans. Then I have my weekend and overnight scans. Also, which I use to build my watchlist. Pretty much, scan for the strongest stocks on every time frame. Like 1 month, 6 months, 3 months, 2 years, 1 and a half years, etcetera. They all look the same, like 60 million in dollar volume. 3.5 ADR and ranks among the 7% strongest, and they all look the same. The only difference is the time frame. Then I also scan for the biggest 5-day gainers: 60 million dollar volume and up 25% in the past 5 days. So those are pretty much my main scans, and I also scan for the biggest losers. One and two year time frames, just to find the beaten-down names that could make big moves.”

Qullamaggie shows His Scans In-Depth “My scans? Sure. This is strongest scan. This scan scans specific watchlist I have for the strongest stocks - most of them are growth stocks. Then like EP, these are stocks that gap up seven and a half percent or are up at least seven and a half percent. Above yesterday’s highs and at least 15 million in dollar volume. Then I have my momentum watch list. It’s also a specific watch list I have. Pretty much scan stocks that are up today in that watch list. ETF scan. 30 million in dollar volume and 6% ADR. And then I have lower liquidity. Higher ADR, these are pretty much like stocks that are not very liquid but have a very high ADR. So you can take a smaller position and still make decent money because the stock is likely to make a bigger move. Those are my intra-day scans. Then I have my weekend and overnight scans. Also, which I use to build my watchlist. Pretty much, scan for the strongest stocks on every time frame. Like 1 month, 6 months, 3 months, 2 years, 1 and a half years, etcetera. They all look the same, like 60 million in dollar volume. 3.5 ADR and ranks among the 7% strongest, and they all look the same. The only difference is the time frame. Then I also scan for the biggest 5-day gainers: 60 million dollar volume and up 25% in the past 5 days. So those are pretty much my main scans, and I also scan for the biggest losers. One and two year time frames, just to find the beaten-down names that could make big moves.”

Lone

26,479 次观看 • 8 个月前

I need you to pay ATTENTION. I will keep WARNING you until you LISTEN. Before this week I started warning members that a SELL and PULLBACK was coming. The market was giving us clues. • Many AI leaders failed continuation breakouts. • Momentum started slowing across the strongest sectors. • Even $NVDA, the leader of this entire AI cycle, began showing signs of weakness. • Fewer stocks were participating in the advance. When leadership starts cracking, I pay attention. At the same time, the market has become historically extended 20% That doesn’t mean the bull market is over. It means risk is increasing. My playbook right now: 1.Trim 10-20% from extended winners. 2.Raise some cash. 3.Rotate into stronger risk/reward setups. a watchlist for the next pullback. I still believe AI is the biggest opportunity of this decade. I still believe stocks like $NVDA, $AMD, $ARM, $MU, $SNDK $AVGO and others go much higher over the next several years. But even the strongest bull markets need time to cool off. The goal isn’t to predict every top. The goal is to protect capital so you’re ready to attack the next opportunity. That’s exactly what we’re doing now. I will help you make MILLIONS. You just have to Listen to what I say.

I need you to pay ATTENTION. I will keep WARNING you until you LISTEN. Before this week I started warning members that a SELL and PULLBACK was coming. The market was giving us clues. • Many AI leaders failed continuation breakouts. • Momentum started slowing across the strongest sectors. • Even $NVDA, the leader of this entire AI cycle, began showing signs of weakness. • Fewer stocks were participating in the advance. When leadership starts cracking, I pay attention. At the same time, the market has become historically extended 20% That doesn’t mean the bull market is over. It means risk is increasing. My playbook right now: 1.Trim 10-20% from extended winners. 2.Raise some cash. 3.Rotate into stronger risk/reward setups. a watchlist for the next pullback. I still believe AI is the biggest opportunity of this decade. I still believe stocks like $NVDA, $AMD, $ARM, $MU, $SNDK $AVGO and others go much higher over the next several years. But even the strongest bull markets need time to cool off. The goal isn’t to predict every top. The goal is to protect capital so you’re ready to attack the next opportunity. That’s exactly what we’re doing now. I will help you make MILLIONS. You just have to Listen to what I say.

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Pending Ustaz👳🏽‍♂️📿

22,642 次观看 • 1 年前

Video Walkthrough of My Daily Process: How I merge my Finviz screener, TradingView watchlists, and a 'Compression' screener to generate stalk & focused ideas. Here’s a quick walkthrough of how I generate my stalk/focused ideas—also shared exclusively with my X subscribers through a daily pre-market tweet condensed into a 5-minute reference. A breakdown of the process; 1. Tradingview as my based charting and watchlist management platform. It is tile next to my finviz web browser. 2. I have 13 preset screeners across both platforms , 9 in finviz (post-market to watchlist), 4 in tradingview (watchlist compression, pre-market gapper of stock & etf, watchlist RVOL sorted). Details of each screener are shared in Chapter 3 of You can also get direct Shared Screen access from 3. I copy each screened result from Finviz and paste it into its corresponding TradingView watchlist (e.g., “Hottest Stock” results go into the “Hottest Stock” watchlist). Erik Carell has built a Finviz API workaround that lets you import an entire screen directly into a TradingView watchlist. 4. Screened results aren’t usually actionable on their own, so I add an extra layer— “compression” screener within TradingView—and run it through each dedicated watchlist. This is what I refer to as a “screen within a screen.” My watchlists are color-coded to show which screener each stock came from—and to highlight when a name appears across multiple screeners (e.g.,🔴= Hottest Stock). 5. I review each name that passes the “compression” screener, evaluating them one by one on the chart to determine whether they qualify for my stalk/focused idea watchlist. The criteria I use are outlined in my “15 Hard Rules” in Chapter 6. 6. The same process is then applied at the ETF level, since TradingView separates its Stock and ETF screeners into two different sections. 7. On top of that, I manually review over 160 ETFs to track day-by-day price action/RS across industry groups (not shown in the video). The full workflow—including post-market study—takes at least 2 hours per session. The process flows as follows: Screening → Watchlist Management → Focus List Rebuild & Preparation → Qualitative Market Reading for Situational Awareness → Portfolio Stop Management (when needed). No single screener will ever capture every opportunity. To stay ahead of the market, you need unwavering dedication, discipline, and consistency. Eventually, the market rewards that effort with the strong, or trending moves. But first, you need a strategy and process that fits your lifestyle and is sustainable over the long term. I hope you all find this helpful as we navigate this challenging yet financially rewarding journey.

Video Walkthrough of My Daily Process: How I merge my Finviz screener, TradingView watchlists, and a 'Compression' screener to generate stalk & focused ideas. Here’s a quick walkthrough of how I generate my stalk/focused ideas—also shared exclusively with my X subscribers through a daily pre-market tweet condensed into a 5-minute reference. A breakdown of the process; 1. Tradingview as my based charting and watchlist management platform. It is tile next to my finviz web browser. 2. I have 13 preset screeners across both platforms , 9 in finviz (post-market to watchlist), 4 in tradingview (watchlist compression, pre-market gapper of stock & etf, watchlist RVOL sorted). Details of each screener are shared in Chapter 3 of You can also get direct Shared Screen access from 3. I copy each screened result from Finviz and paste it into its corresponding TradingView watchlist (e.g., “Hottest Stock” results go into the “Hottest Stock” watchlist). Erik Carell has built a Finviz API workaround that lets you import an entire screen directly into a TradingView watchlist. 4. Screened results aren’t usually actionable on their own, so I add an extra layer— “compression” screener within TradingView—and run it through each dedicated watchlist. This is what I refer to as a “screen within a screen.” My watchlists are color-coded to show which screener each stock came from—and to highlight when a name appears across multiple screeners (e.g.,🔴= Hottest Stock). 5. I review each name that passes the “compression” screener, evaluating them one by one on the chart to determine whether they qualify for my stalk/focused idea watchlist. The criteria I use are outlined in my “15 Hard Rules” in Chapter 6. 6. The same process is then applied at the ETF level, since TradingView separates its Stock and ETF screeners into two different sections. 7. On top of that, I manually review over 160 ETFs to track day-by-day price action/RS across industry groups (not shown in the video). The full workflow—including post-market study—takes at least 2 hours per session. The process flows as follows: Screening → Watchlist Management → Focus List Rebuild & Preparation → Qualitative Market Reading for Situational Awareness → Portfolio Stop Management (when needed). No single screener will ever capture every opportunity. To stay ahead of the market, you need unwavering dedication, discipline, and consistency. Eventually, the market rewards that effort with the strong, or trending moves. But first, you need a strategy and process that fits your lifestyle and is sustainable over the long term. I hope you all find this helpful as we navigate this challenging yet financially rewarding journey.

Jeff Sun, CFTe

371,829 次观看 • 7 个月前

How I Find Stocks WHEN Institutional Money Floods In (3 Signs) My strategy comes from my days as a hedge fund strategist—finding breakout stocks when institutional money pours in. Here's my exact system: I look for 3 tell-tale signs: 1. Look for consolidation patterns (sideways movement) 2. Wait for breakout above the 50-day moving average 3. Buy just above recent highs Remember: Don't start with individual stocks. That's overwhelming. I typically start with sectors. I find sectors showing the consolidation pattern (like homebuilders or biotech recovering from terrible years). Then I drill down to industries within those sectors. Finally, I pick the top 2-3 stocks in that industry and look for the same pattern. I call it the "heartbeat pattern": sideways consolidation, breaking above the 50-day MA, taking out recent highs. I set my buy order just above that point. When it triggers, I watch the volume. If it doubles, triples, or quadruples—that's institutional money flooding in. This is how I catch the sweet spot when the big money moves, not after. It takes me 2-3 hours per week, and it's been working for decades. — This is just a small snippet of the 25-minute interview. We also covered: • The exact volume pattern that signals institutional buying is happening NOW • How to automate your exits so emotions don't cost you 20-30% losses • Why "cheap" stocks are a trap—and what to buy instead Just comment “INTERVIEW’ and I’ll DM you the complete interview.

How I Find Stocks WHEN Institutional Money Floods In (3 Signs) My strategy comes from my days as a hedge fund strategist—finding breakout stocks when institutional money pours in. Here's my exact system: I look for 3 tell-tale signs: 1. Look for consolidation patterns (sideways movement) 2. Wait for breakout above the 50-day moving average 3. Buy just above recent highs Remember: Don't start with individual stocks. That's overwhelming. I typically start with sectors. I find sectors showing the consolidation pattern (like homebuilders or biotech recovering from terrible years). Then I drill down to industries within those sectors. Finally, I pick the top 2-3 stocks in that industry and look for the same pattern. I call it the "heartbeat pattern": sideways consolidation, breaking above the 50-day MA, taking out recent highs. I set my buy order just above that point. When it triggers, I watch the volume. If it doubles, triples, or quadruples—that's institutional money flooding in. This is how I catch the sweet spot when the big money moves, not after. It takes me 2-3 hours per week, and it's been working for decades. — This is just a small snippet of the 25-minute interview. We also covered: • The exact volume pattern that signals institutional buying is happening NOW • How to automate your exits so emotions don't cost you 20-30% losses • Why "cheap" stocks are a trap—and what to buy instead Just comment “INTERVIEW’ and I’ll DM you the complete interview.

Felix Prehn 🐶

41,027 次观看 • 6 个月前

How to create Farcaster mini app without coding - Step 1: > Go to ChatGPT > Just type: "I would like to create a Farcaster mini app, can you give me some ideas?" > Choose any one of the ideas - Note: - You can also type your own idea to ChatGPT and alter it - Step 2: - Go to ChatGPT > Paste the first prompt (shared in my channel) > Include the project you chose and tell ChatGPT to alter the prompt according to the idea below - Step 3 - Go to: > Sign up using Gmail or GitHub > Projects -> New Project -> Type the name of your project >Just paste the prompt we created earlier > It will start creating your app > If you need to alter anything, just go to GPT and type: [ I need a prompt to alter "your issue (like changing colour, etc.)" in my app already created in v0app by Vercel ] > Copy the prompt and paste it in v0 > No need to worry about errors , it will rectify them for you > If your project is finished, just click "Publish" on your top right > It will automatically host your app in Vercel > Click "Visit site" to see your app on another device and copy the website URL - Step 4 - Go to: v0 app > Just paste Prompt 2 from the file I provided > Click Publish once it’s completed - Step 5 - Go to: v0 app > Just paste the prompt 3 from the file I provided - Step 6 (Important) > Just paste Prompt 4 from the file I provided - Step 7 > Just paste Prompt 4 from the file I provided - Step 8 > Just paste Prompt 6 from the file I provided > It’s an important step to do — you need to create a manifest inside your app so that you can host it on Farcaster - Step 9 - Go to: > Sign up or Login > Settings → Developers → Mini Apps → Create Manifest (New) > Paste your website URL (remove https) > It should be like: > If you find any error while doing this, just copy and paste it in the v0 app > Once everything is finished, you need to create Account Association > Scan the QR on your mobile and tap and hold the Yes button > It will show an error — just copy and paste those errors into the v0 app > Click Publish again, and then click Refresh in Manifest > Click Open your app > for the main prompt file check our tg channel link in our bio

How to create Farcaster mini app without coding - Step 1: > Go to ChatGPT > Just type: "I would like to create a Farcaster mini app, can you give me some ideas?" > Choose any one of the ideas - Note: - You can also type your own idea to ChatGPT and alter it - Step 2: - Go to ChatGPT > Paste the first prompt (shared in my channel) > Include the project you chose and tell ChatGPT to alter the prompt according to the idea below - Step 3 - Go to: > Sign up using Gmail or GitHub > Projects -> New Project -> Type the name of your project >Just paste the prompt we created earlier > It will start creating your app > If you need to alter anything, just go to GPT and type: [ I need a prompt to alter "your issue (like changing colour, etc.)" in my app already created in v0app by Vercel ] > Copy the prompt and paste it in v0 > No need to worry about errors , it will rectify them for you > If your project is finished, just click "Publish" on your top right > It will automatically host your app in Vercel > Click "Visit site" to see your app on another device and copy the website URL - Step 4 - Go to: v0 app > Just paste Prompt 2 from the file I provided > Click Publish once it’s completed - Step 5 - Go to: v0 app > Just paste the prompt 3 from the file I provided - Step 6 (Important) > Just paste Prompt 4 from the file I provided - Step 7 > Just paste Prompt 4 from the file I provided - Step 8 > Just paste Prompt 6 from the file I provided > It’s an important step to do — you need to create a manifest inside your app so that you can host it on Farcaster - Step 9 - Go to: > Sign up or Login > Settings → Developers → Mini Apps → Create Manifest (New) > Paste your website URL (remove https) > It should be like: > If you find any error while doing this, just copy and paste it in the v0 app > Once everything is finished, you need to create Account Association > Scan the QR on your mobile and tap and hold the Yes button > It will show an error — just copy and paste those errors into the v0 app > Click Publish again, and then click Refresh in Manifest > Click Open your app > for the main prompt file check our tg channel link in our bio

Maran

48,106 次观看 • 8 个月前

How to extract data from papers for literature review in seconds? 1. Go to 2. Upload 2-3 papers you already know are relevant 3. Start with clicking on one paper 4. ResearchCollab do the following for the paper ✦ Provide a short overview of the paper ✦ Identify weaknesses in the paper ✦ Share papers that contrast the existing paper ✦ Extract meta data about the paper ✦ Evaluate each part (e.g., methodology) of the paper ✦ Provide AI chat to extract any other data 5. Now click on the Related Papers button at top right 6. You will get papers related to the seed paper 7. You can click on each paper and read its abstract 8. If you find it relevant, just add it to your list of papers 9. Do the same for the other 2 seed papers 10. This way you will collect all relevant papers 11. And extract data from those papers After this, analyse the data and report the findings. Try ResearchCollab today:

How to extract data from papers for literature review in seconds? 1. Go to 2. Upload 2-3 papers you already know are relevant 3. Start with clicking on one paper 4. ResearchCollab do the following for the paper ✦ Provide a short overview of the paper ✦ Identify weaknesses in the paper ✦ Share papers that contrast the existing paper ✦ Extract meta data about the paper ✦ Evaluate each part (e.g., methodology) of the paper ✦ Provide AI chat to extract any other data 5. Now click on the Related Papers button at top right 6. You will get papers related to the seed paper 7. You can click on each paper and read its abstract 8. If you find it relevant, just add it to your list of papers 9. Do the same for the other 2 seed papers 10. This way you will collect all relevant papers 11. And extract data from those papers After this, analyse the data and report the findings. Try ResearchCollab today:

Faheem Ullah

26,494 次观看 • 5 个月前

Sharing this Godot quick tip for the new people trying to figure out how to mess with the game while it's running! ✨ (Thanks to Daniel Queiroz Porto and and Ian Williams for pointing this out) 1. Go to the Project Settings 2. Click "Advanced Settings" 3. In "Window" highlight "Always on Top" and create a new editor override for it by choosing "editor" from the list and clicking "Add" 4. Enable the new override you just added 5. Now when you run the scene (Ctrl+R) the window will always stay on top! 6. Press the Camera icon on top of the viewport to sync your editor camera to the game camera 7. Click on the "Remote" tab of the Scene panel. All of the changes you make to these objects will sync with your game in real time! Bonus Tip: You can make it switch to the "Remote" tab by default when you run the game if you go to Editor Settings (Ctrl+Comma) -> Network -> Debugger and click "Auto Switch to Remote Scene Tree"! #godottips

Sharing this Godot quick tip for the new people trying to figure out how to mess with the game while it's running! ✨ (Thanks to Daniel Queiroz Porto and and Ian Williams for pointing this out) 1. Go to the Project Settings 2. Click "Advanced Settings" 3. In "Window" highlight "Always on Top" and create a new editor override for it by choosing "editor" from the list and clicking "Add" 4. Enable the new override you just added 5. Now when you run the scene (Ctrl+R) the window will always stay on top! 6. Press the Camera icon on top of the viewport to sync your editor camera to the game camera 7. Click on the "Remote" tab of the Scene panel. All of the changes you make to these objects will sync with your game in real time! Bonus Tip: You can make it switch to the "Remote" tab by default when you run the game if you go to Editor Settings (Ctrl+Comma) -> Network -> Debugger and click "Auto Switch to Remote Scene Tree"! #godottips

passivestar

96,067 次观看 • 2 年前

How to compare 10 papers in 10 seconds? Meet 𝐒𝐜𝐢𝐒𝐩𝐚𝐜𝐞 – this tool compares papers for you. Here is how it works. 1. Go to 2. Click on + 𝑠𝑖𝑔𝑛 and upload the 10 papers. 3. After uploading papers, write your prompt. 𝐶𝑜𝑚𝑝𝑎𝑟𝑒 𝑡ℎ𝑒 𝑢𝑝𝑙𝑜𝑎𝑑𝑒𝑑 10 𝑟𝑒𝑠𝑒𝑎𝑟𝑐ℎ 𝑝𝑎𝑝𝑒𝑟𝑠 4. SciSpace will start comparing the papers. 5. You will see the comparison result on right side. 6. You will see various insights with paper numbers. 7. At the end, you will see summary of the comparison. 8. SciSpace compares the papers based on: ✓ Similarities in research themes ✓ Differences in approaches ✓ Relative strengths and weaknesses ✓ Gaps identified across papers ✓ Relationships and building upon each other 9. To trace to each paper, click on the 𝑝𝑎𝑝𝑒𝑟 𝑛𝑢𝑚𝑏𝑒𝑟𝑠 10. To trace to exact location, click on 𝑙𝑜𝑐𝑎𝑡𝑒 𝑃𝐷𝐹. Where can you use such comparison? You can use it to: ➝ Understand the related literature. ➝ Position the novelty of your research paper. ➝ Understand niche questions in a research area. ➝ Grasp key insights from a bunch of papers in one go. Try SciSpace today:

How to compare 10 papers in 10 seconds? Meet 𝐒𝐜𝐢𝐒𝐩𝐚𝐜𝐞 – this tool compares papers for you. Here is how it works. 1. Go to 2. Click on + 𝑠𝑖𝑔𝑛 and upload the 10 papers. 3. After uploading papers, write your prompt. 𝐶𝑜𝑚𝑝𝑎𝑟𝑒 𝑡ℎ𝑒 𝑢𝑝𝑙𝑜𝑎𝑑𝑒𝑑 10 𝑟𝑒𝑠𝑒𝑎𝑟𝑐ℎ 𝑝𝑎𝑝𝑒𝑟𝑠 4. SciSpace will start comparing the papers. 5. You will see the comparison result on right side. 6. You will see various insights with paper numbers. 7. At the end, you will see summary of the comparison. 8. SciSpace compares the papers based on: ✓ Similarities in research themes ✓ Differences in approaches ✓ Relative strengths and weaknesses ✓ Gaps identified across papers ✓ Relationships and building upon each other 9. To trace to each paper, click on the 𝑝𝑎𝑝𝑒𝑟 𝑛𝑢𝑚𝑏𝑒𝑟𝑠 10. To trace to exact location, click on 𝑙𝑜𝑐𝑎𝑡𝑒 𝑃𝐷𝐹. Where can you use such comparison? You can use it to: ➝ Understand the related literature. ➝ Position the novelty of your research paper. ➝ Understand niche questions in a research area. ➝ Grasp key insights from a bunch of papers in one go. Try SciSpace today:

Faheem Ullah

24,341 次观看 • 5 个月前

My Daily Routine on TradingView Screeners: Discovering Daily Swing Setups Through Multiple Screening, Watchlist Management, and Tightness Screening within Watchlist. Note: This 3-minute video is played at 2x normal speed from real-time. Upon uncovering the screening feature within the 'Watchlist' on TradingView v2 screener, I would like to demonstrate how you can optimize your daily screening routine, efficiently manage your watchlist, and identify potential setups from within it. 1. I utilize a set of 12 swing trading scans to transfer results into individual watchlists, along with two daily scans specifically designed to filter setups within all my watchlist. However, most of these scans are executed on a weekly basis due to the repetitive nature of daily results. But I will showcase the utilization of all screens, including each parameters. 2. Every screen result goes into their individual watchlist. eg. 'Strong Movers >10B Mcap', 'Strong Movers <10B Mcap', 'Fundamental (CANSLIM)', 'Post Earnings Continuation Base', 'Daily Tightness'. I also have watchlist that are already established for 'IPO Base' , 'China Top 30' MCap, 'Short Float', 'Back Watchlist'. 3. After transferring all screening results to individual watchlists, I introduce two additional scan parameters: 'Watchlist Scan Price Above/Below EMA Below 5%.' These parameters aim to identify tight swing trading setups within a range of above and below 5% of the 5-day Exponential Moving Average (EMA). To consolidate the filtered results from all watchlists, you will need to create a new watchlist. In the video, I label this watchlist as 'Scan Result.' This is the only watchlist that I will refresh weekly (delete and rebuild again for the start of the week). You're not obligated to adhere to my screening parameters. If you already have your own set of screens, what I'm illustrating is simply how you can optimize your time more effectively with the introduction of 'watchlist' screening. While this feature offers significant time-saving benefits for daily use, I firmly believe it remains crucial to dedicate time during the weekend to thoroughly review and analyze stocks, identifying potential industry group setups one chart at a time. I would review all the stocks in each individual watchlist on each Saturday. I hope this will be helpful in your process. If you have missed the previous discussion, please find the link below.

My Daily Routine on TradingView Screeners: Discovering Daily Swing Setups Through Multiple Screening, Watchlist Management, and Tightness Screening within Watchlist. Note: This 3-minute video is played at 2x normal speed from real-time. Upon uncovering the screening feature within the 'Watchlist' on TradingView v2 screener, I would like to demonstrate how you can optimize your daily screening routine, efficiently manage your watchlist, and identify potential setups from within it. 1. I utilize a set of 12 swing trading scans to transfer results into individual watchlists, along with two daily scans specifically designed to filter setups within all my watchlist. However, most of these scans are executed on a weekly basis due to the repetitive nature of daily results. But I will showcase the utilization of all screens, including each parameters. 2. Every screen result goes into their individual watchlist. eg. 'Strong Movers >10B Mcap', 'Strong Movers <10B Mcap', 'Fundamental (CANSLIM)', 'Post Earnings Continuation Base', 'Daily Tightness'. I also have watchlist that are already established for 'IPO Base' , 'China Top 30' MCap, 'Short Float', 'Back Watchlist'. 3. After transferring all screening results to individual watchlists, I introduce two additional scan parameters: 'Watchlist Scan Price Above/Below EMA Below 5%.' These parameters aim to identify tight swing trading setups within a range of above and below 5% of the 5-day Exponential Moving Average (EMA). To consolidate the filtered results from all watchlists, you will need to create a new watchlist. In the video, I label this watchlist as 'Scan Result.' This is the only watchlist that I will refresh weekly (delete and rebuild again for the start of the week). You're not obligated to adhere to my screening parameters. If you already have your own set of screens, what I'm illustrating is simply how you can optimize your time more effectively with the introduction of 'watchlist' screening. While this feature offers significant time-saving benefits for daily use, I firmly believe it remains crucial to dedicate time during the weekend to thoroughly review and analyze stocks, identifying potential industry group setups one chart at a time. I would review all the stocks in each individual watchlist on each Saturday. I hope this will be helpful in your process. If you have missed the previous discussion, please find the link below.

Jeff Sun, CFTe

184,147 次观看 • 2 年前

2/9/2026 Daily Recap: Software on the rise - $IGV +3% seeing the long awaited bounce $MSFT $ORCL $PLTR $CRWD all +3% or more on the day. - $XOP continues to act as if a much bigger move is on the horizon over the coming months. $XOM $CVX $XLO $RIG $VAL $TDW - Semis continue to be lead higher by $TSM. $NVDA nice bounce back the past two sessions up 12% and $CRDO releases prelim earnings up 15% in the after hours session. - $ITA with a little more work ahead but nice action from $HWM $PL $RKLB today - $AA with what looks to be a bull flag breakout. Commodities with the metals still acting well. $FCX $SCCO $NEM $AEM. Optic names one of the strongest momentum themes currently. $GLW $LITE $CIEN $AAOI - $WGMI names put on a nice show the last two days. $WULF $APLD best of the bunch. $IREN $CIFR right on the underside of the 50sma. More info tomorrow. - After a strong 2 day rally do we just get a little bit of a market pause?

2/9/2026 Daily Recap: Software on the rise - $IGV +3% seeing the long awaited bounce $MSFT $ORCL $PLTR $CRWD all +3% or more on the day. - $XOP continues to act as if a much bigger move is on the horizon over the coming months. $XOM $CVX $XLO $RIG $VAL $TDW - Semis continue to be lead higher by $TSM. $NVDA nice bounce back the past two sessions up 12% and $CRDO releases prelim earnings up 15% in the after hours session. - $ITA with a little more work ahead but nice action from $HWM $PL $RKLB today - $AA with what looks to be a bull flag breakout. Commodities with the metals still acting well. $FCX $SCCO $NEM $AEM. Optic names one of the strongest momentum themes currently. $GLW $LITE $CIEN $AAOI - $WGMI names put on a nice show the last two days. $WULF $APLD best of the bunch. $IREN $CIFR right on the underside of the 50sma. More info tomorrow. - After a strong 2 day rally do we just get a little bit of a market pause?

Ariel Hernandez

15,104 次观看 • 5 个月前

PhD Students – How to automatically extract data from papers for your literature review? Extracting relevant data from papers is challenging. However, this process can be automated. Meet AnswerThis – a tool that extracts data in seconds. Here is how it works. 1. Go to and log in. 2. After logging in, click on 𝐸𝑥𝑡𝑟𝑎𝑐𝑡 𝑑𝑎𝑡𝑎. 3. Then click on 𝑈𝑝𝑙𝑜𝑎𝑑 𝑃𝐷𝐹 and upload your papers. 4. These are the papers from which you want to extract data. 5. After uploading papers, select data you want to extract. 6. The predefined options are - Key findings - Research gaps - Methodology - Limitations - Future work - Contributions - Practical implications 7. You can also extract custom data e.g., dataset used. 8. For example, I want to extract methodology used in these papers. 9. I selected 𝑀𝑒𝑡ℎ𝑜𝑑𝑜𝑙𝑜𝑔𝑦 and clicked on 𝐴𝑑𝑑 𝐶𝑜𝑙𝑢𝑚𝑛. 10. AnswerThis extract data about methodology used in the papers. 11. You can change data view from normal to Table View. 12. For this, scroll back to top and click on 𝑇𝑎𝑏𝑙𝑒 𝑉𝑖𝑒𝑤. 13. Now for instance, you want to extract more data from these papers. 14. Go back to the top and click on 𝐸𝑥𝑡𝑟𝑎𝑐𝑡 𝑑𝑎𝑡𝑎. 15. Select the data type you want to extract. 16. For example, I want to extract data about future work. 17. So I click on 𝐹𝑢𝑡𝑢𝑟𝑒 𝑊𝑜𝑟𝑘 and then clicked on 𝐴𝑑𝑑 𝑐𝑜𝑙𝑢𝑚𝑛. 18. AnswerThis extracted data about future work from the papers. 19. After extracting the desired data, you can export it. 20. Select the data you want to extract. 21. Then click on 𝐸𝑥𝑝𝑜𝑟𝑡 𝑑𝑎𝑡𝑎. 22. Your data will be exported in CSV format. You can then analyze this data for your literature review. Try AnswerThis today: Anything you'd like to add?

PhD Students – How to automatically extract data from papers for your literature review? Extracting relevant data from papers is challenging. However, this process can be automated. Meet AnswerThis – a tool that extracts data in seconds. Here is how it works. 1. Go to and log in. 2. After logging in, click on 𝐸𝑥𝑡𝑟𝑎𝑐𝑡 𝑑𝑎𝑡𝑎. 3. Then click on 𝑈𝑝𝑙𝑜𝑎𝑑 𝑃𝐷𝐹 and upload your papers. 4. These are the papers from which you want to extract data. 5. After uploading papers, select data you want to extract. 6. The predefined options are - Key findings - Research gaps - Methodology - Limitations - Future work - Contributions - Practical implications 7. You can also extract custom data e.g., dataset used. 8. For example, I want to extract methodology used in these papers. 9. I selected 𝑀𝑒𝑡ℎ𝑜𝑑𝑜𝑙𝑜𝑔𝑦 and clicked on 𝐴𝑑𝑑 𝐶𝑜𝑙𝑢𝑚𝑛. 10. AnswerThis extract data about methodology used in the papers. 11. You can change data view from normal to Table View. 12. For this, scroll back to top and click on 𝑇𝑎𝑏𝑙𝑒 𝑉𝑖𝑒𝑤. 13. Now for instance, you want to extract more data from these papers. 14. Go back to the top and click on 𝐸𝑥𝑡𝑟𝑎𝑐𝑡 𝑑𝑎𝑡𝑎. 15. Select the data type you want to extract. 16. For example, I want to extract data about future work. 17. So I click on 𝐹𝑢𝑡𝑢𝑟𝑒 𝑊𝑜𝑟𝑘 and then clicked on 𝐴𝑑𝑑 𝑐𝑜𝑙𝑢𝑚𝑛. 18. AnswerThis extracted data about future work from the papers. 19. After extracting the desired data, you can export it. 20. Select the data you want to extract. 21. Then click on 𝐸𝑥𝑝𝑜𝑟𝑡 𝑑𝑎𝑡𝑎. 22. Your data will be exported in CSV format. You can then analyze this data for your literature review. Try AnswerThis today: Anything you'd like to add?

Faheem Ullah

21,390 次观看 • 9 个月前

March was yet another banger month for Deepvue. Here's a quick overview of the massive upgrades we pushed out: ∙NEW Theme Tracker app See what's performing (or not) over the last day, week, month, and YTD. You can easily add this app to your dashboard by dragging and dropping in the dashboard module. — ∙IMPROVED Data Panel Resize your data panel dynamically — easy drag to make a one column or two column view. New search feature finds data points, opens categories, and auto-scrolls to them. — ∙ADDED Institutional & Insider Ownership data You can screen for increasing institutional ownership over a multi-quarter period, making it easy to track where the big money is flowing. — ∙NEW Screen Presets Added "Momentum Leaders" plus high/increasing institutional & insider ownership preset screens. ∙ADDED 2024 Model Book Stocks as a preset watchlist from — ∙ UPGRADED UI We've added an undo button for stocks that you may have deleted but want to keep on your watchlists. We also added new icons for quick access to dashboards, screeners, watchlists, and share features on the top menu bar. You'll also see subtle hover effects in the dropdown menus so you'll never lose your place. — User Interface and Experience will continue to be a massive focus of ours into Q2, and we couldn't be more excited about what's to come 💪

March was yet another banger month for Deepvue. Here's a quick overview of the massive upgrades we pushed out: ∙NEW Theme Tracker app See what's performing (or not) over the last day, week, month, and YTD. You can easily add this app to your dashboard by dragging and dropping in the dashboard module. — ∙IMPROVED Data Panel Resize your data panel dynamically — easy drag to make a one column or two column view. New search feature finds data points, opens categories, and auto-scrolls to them. — ∙ADDED Institutional & Insider Ownership data You can screen for increasing institutional ownership over a multi-quarter period, making it easy to track where the big money is flowing. — ∙NEW Screen Presets Added "Momentum Leaders" plus high/increasing institutional & insider ownership preset screens. ∙ADDED 2024 Model Book Stocks as a preset watchlist from — ∙ UPGRADED UI We've added an undo button for stocks that you may have deleted but want to keep on your watchlists. We also added new icons for quick access to dashboards, screeners, watchlists, and share features on the top menu bar. You'll also see subtle hover effects in the dropdown menus so you'll never lose your place. — User Interface and Experience will continue to be a massive focus of ours into Q2, and we couldn't be more excited about what's to come 💪

Deepvue

13,182 次观看 • 1 年前

PhD Students – How to automatically identify 90% of the issues in your research paper before you submit it to a journal? This is possible through manual or automated paper review. First, let’s understand the following. 𝐖𝐡𝐚𝐭 𝐢𝐬 𝐚 𝐩𝐚𝐩𝐞𝐫 𝐫𝐞𝐯𝐢𝐞𝐰? Paper review is a process in which subject matter experts evaluate your paper based on the following criteria: 1. Significance – Is this research important? 2. Novelty – Is this research new? 3. Methodology – Is this research carried out in the correct way? 4. Verifiability – Can other researchers verify this research? 5. Presentation – Is the research presented in the right way? 𝐖𝐡𝐲 𝐭𝐨 𝐡𝐚𝐯𝐞 𝐲𝐨𝐮𝐫 𝐩𝐚𝐩𝐞𝐫 𝐫𝐞𝐯𝐢𝐞𝐰𝐞𝐝 𝐛𝐞𝐟𝐨𝐫𝐞 𝐬𝐮𝐛𝐦𝐢𝐬𝐬𝐢𝐨𝐧? ➟ Identify the critical issues in your paper ➟ Fix those issues to increase the chances of your paper acceptance 𝐇𝐨𝐰 𝐭𝐨 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐞 “𝐬𝐞𝐥𝐟-𝐫𝐞𝐯𝐢𝐞𝐰” 𝐨𝐟 𝐲𝐨𝐮𝐫 𝐩𝐚𝐩𝐞𝐫? Paperpal just launched an amazing feature – AI Review. Using this feature, you can get instant self-feedback. This feature will help you in the following ways. ➝ Check for gaps in your logic ➝ Get feedback on the structure and flow of your writing ➝ Review your research questions ➝ Identify opportunities to strengthen your paper ➝ Increase the chances of your paper acceptance Here is a step-by-step process for using AI Review feature. Step 1: Go to and login. Step 2: Open an existing document or make a new document Step 3: Go to the right-side bar and click on checks | AI Review. Step 4: For this feature to work there should be more than 150 words. Step 5: Copy and paste your paper. Step 6: Now go to the right side and check the prompts Step 7: With these prompts, you will evaluate your paper. Step 8: You will find various prompts e.g., suggest writing feedback, check flow and structure etc. Step 9: You can select a prompt from the existing prompts or write your custom prompt and execute Step 10: Paperpal will generate feedback as per the prompt. Step 11: Read through the feedback and save it for further use. Use other specific prompts for tailored feedback. Step 12: This way you can evaluate various aspects of your paper yourself. This is a very customized and efficient way of automatically reviewing your paper. You can also go one step further to work on the feedback and improve your paper based on suggestions. Please note that AI Review feature does not replace human or expert reviewers in any way. This feature only aims to provide you with quick self-feedback. Try the AI Review feature of Paperpal. Paperpal link:

PhD Students – How to automatically identify 90% of the issues in your research paper before you submit it to a journal? This is possible through manual or automated paper review. First, let’s understand the following. 𝐖𝐡𝐚𝐭 𝐢𝐬 𝐚 𝐩𝐚𝐩𝐞𝐫 𝐫𝐞𝐯𝐢𝐞𝐰? Paper review is a process in which subject matter experts evaluate your paper based on the following criteria: 1. Significance – Is this research important? 2. Novelty – Is this research new? 3. Methodology – Is this research carried out in the correct way? 4. Verifiability – Can other researchers verify this research? 5. Presentation – Is the research presented in the right way? 𝐖𝐡𝐲 𝐭𝐨 𝐡𝐚𝐯𝐞 𝐲𝐨𝐮𝐫 𝐩𝐚𝐩𝐞𝐫 𝐫𝐞𝐯𝐢𝐞𝐰𝐞𝐝 𝐛𝐞𝐟𝐨𝐫𝐞 𝐬𝐮𝐛𝐦𝐢𝐬𝐬𝐢𝐨𝐧? ➟ Identify the critical issues in your paper ➟ Fix those issues to increase the chances of your paper acceptance 𝐇𝐨𝐰 𝐭𝐨 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐞 “𝐬𝐞𝐥𝐟-𝐫𝐞𝐯𝐢𝐞𝐰” 𝐨𝐟 𝐲𝐨𝐮𝐫 𝐩𝐚𝐩𝐞𝐫? Paperpal just launched an amazing feature – AI Review. Using this feature, you can get instant self-feedback. This feature will help you in the following ways. ➝ Check for gaps in your logic ➝ Get feedback on the structure and flow of your writing ➝ Review your research questions ➝ Identify opportunities to strengthen your paper ➝ Increase the chances of your paper acceptance Here is a step-by-step process for using AI Review feature. Step 1: Go to and login. Step 2: Open an existing document or make a new document Step 3: Go to the right-side bar and click on checks | AI Review. Step 4: For this feature to work there should be more than 150 words. Step 5: Copy and paste your paper. Step 6: Now go to the right side and check the prompts Step 7: With these prompts, you will evaluate your paper. Step 8: You will find various prompts e.g., suggest writing feedback, check flow and structure etc. Step 9: You can select a prompt from the existing prompts or write your custom prompt and execute Step 10: Paperpal will generate feedback as per the prompt. Step 11: Read through the feedback and save it for further use. Use other specific prompts for tailored feedback. Step 12: This way you can evaluate various aspects of your paper yourself. This is a very customized and efficient way of automatically reviewing your paper. You can also go one step further to work on the feedback and improve your paper based on suggestions. Please note that AI Review feature does not replace human or expert reviewers in any way. This feature only aims to provide you with quick self-feedback. Try the AI Review feature of Paperpal. Paperpal link:

Faheem Ullah

15,270 次观看 • 1 年前

"It was an amazing setup, so why are all my trade ideas failing now?" Because the setup isn’t the problem...the market environment is. The overall market can make or break individual trades. So how do you know if conditions are good for swing trading? Watch this 30 second clip first. "You need to have some way to quantify when environments change" + know what to focus on. Here's quickly how I do it: Look at $SPY for overall sentiment, $QQQ for growth/tech behavior, and $BTC as a read on speculative appetite. Right, now $SPY has been sitting in a $20 range for almost 3 months now, $QQQ similarly, and $BTC's been is a strong downtrend. Telling me: > breakouts can be unreliable until $SPY picks a true direction > speculative assets (emerging tech, software, crypto) should be risk off for now, until basing occurs. > it's a stock picker's market, and ideas should be rooted in only the strongest themes I'm not super comfortable trading directional strategies in non-directional (choppy) markets. Make sure the current market is conducive for directional swing trading before committing to sizable positions.

"It was an amazing setup, so why are all my trade ideas failing now?" Because the setup isn’t the problem...the market environment is. The overall market can make or break individual trades. So how do you know if conditions are good for swing trading? Watch this 30 second clip first. "You need to have some way to quantify when environments change" + know what to focus on. Here's quickly how I do it: Look at $SPY for overall sentiment, $QQQ for growth/tech behavior, and $BTC as a read on speculative appetite. Right, now $SPY has been sitting in a $20 range for almost 3 months now, $QQQ similarly, and $BTC's been is a strong downtrend. Telling me: > breakouts can be unreliable until $SPY picks a true direction > speculative assets (emerging tech, software, crypto) should be risk off for now, until basing occurs. > it's a stock picker's market, and ideas should be rooted in only the strongest themes I'm not super comfortable trading directional strategies in non-directional (choppy) markets. Make sure the current market is conducive for directional swing trading before committing to sizable positions.

Luc

29,786 次观看 • 5 个月前

4/3/2026 Daily Recap: Are we really to follow through? - Bulls step up on the gap down. Although light volume we are seeing leadership continue to shine! - $UFO can be argued was the strongest group on Thursday. SpaceX IPO is on the horizon and can likely cause a frenzy in the smaller space related names $PL $RKLB $ASTS $LUNR $GSAT - $SMH encouraging action from your semiconductors. $MRVL $AMD $TER $ASML $FORM $AEHR $INTC - Memory stocks have a powerful up week with $MRVL $SNDK $WDC $STX choosing to wake up. - Optics very much a leading group $LITE $CIEN $GLW $VIAV $AAOI. - Despite $USO being up double digits we saw some continued profit taking in the oil and gas names $XOM $VLO $COP $MPC $CVX. - $DXY something to monitor closely. If the Dollar starts to move out from a stage 1 base I think it's possible the metals trade continues to suffer along with on emerging markets. - $XBI held up very well during this market downturn. They still act like the beneficiary of the eventual drop in interest rates. - $IWM did a great job living above the 200sma. Russell is comprised of many regional banks $KRE and biotechs. Almost hard to believe it could be the group which leads us higher if/when the downturn in the markets is done. - Feels like an important week on the cusp of a follow through day but no need to get excited. IF we are going higher we haven't missed a single thing yet!

4/3/2026 Daily Recap: Are we really to follow through? - Bulls step up on the gap down. Although light volume we are seeing leadership continue to shine! - $UFO can be argued was the strongest group on Thursday. SpaceX IPO is on the horizon and can likely cause a frenzy in the smaller space related names $PL $RKLB $ASTS $LUNR $GSAT - $SMH encouraging action from your semiconductors. $MRVL $AMD $TER $ASML $FORM $AEHR $INTC - Memory stocks have a powerful up week with $MRVL $SNDK $WDC $STX choosing to wake up. - Optics very much a leading group $LITE $CIEN $GLW $VIAV $AAOI. - Despite $USO being up double digits we saw some continued profit taking in the oil and gas names $XOM $VLO $COP $MPC $CVX. - $DXY something to monitor closely. If the Dollar starts to move out from a stage 1 base I think it's possible the metals trade continues to suffer along with on emerging markets. - $XBI held up very well during this market downturn. They still act like the beneficiary of the eventual drop in interest rates. - $IWM did a great job living above the 200sma. Russell is comprised of many regional banks $KRE and biotechs. Almost hard to believe it could be the group which leads us higher if/when the downturn in the markets is done. - Feels like an important week on the cusp of a follow through day but no need to get excited. IF we are going higher we haven't missed a single thing yet!

Ariel Hernandez

15,562 次观看 • 3 个月前

Here is a short snippet from our weekly team call today preparing for the week ahead. First I'm going over my trades from last week, the thought process behind all the executions and where my focus is to start this week. In the $TWLO entry we talk about mixing the largest time frames with the smallest ones along with a myriad of other layers of probability that made it exceedingly attractive to size up in a given spot. $DOCN on the other hand we talk about sizing differently and giving ourselves optionality depending how the market wants to start the week, what we want to see out of the action, spots we're looking to aggressively add risk but still positioned so we will not get shaken out of a quick down move if we were to open to weakness. $DDOG we talk about sizing up in that first entry when it triggers and giving ourselves the ability to take profit into a momentum move higher, but still having enough stock to manage for the long term position trade comfortably. Most traders out there don't look into these secondary characteristics of intraday action while mixing in the macro charts in which I feel is our biggest advantage in this market if you understand what to look for. This is where we find the real alpha. We go over lots more in the video. In the full call we talk market expectations as well as individual member's ideas and go across all the current themes firing in the market. We have such a huge advantage heading into the market each week in this manner, all in sync, with hundreds of eyes spread out tracking the information. What an exciting time to be a trader! I can't get over the opportunity this market is set to provide. Hope you enjoy the video and get something out of it. 🫡 Other charts mentioned: $NAVN $INTC $QCOM $FROG $ARM $APLD $CRWV $AFRM $OSS $AAON $INFQ $MOD $AMKR $CCJ $AFRM $SEDG $IREN $AKAM $SATS $RKLB $NOK $ONDS $PLTR $SKM $AVEX $YETI $SEZL

Here is a short snippet from our weekly team call today preparing for the week ahead. First I'm going over my trades from last week, the thought process behind all the executions and where my focus is to start this week. In the $TWLO entry we talk about mixing the largest time frames with the smallest ones along with a myriad of other layers of probability that made it exceedingly attractive to size up in a given spot. $DOCN on the other hand we talk about sizing differently and giving ourselves optionality depending how the market wants to start the week, what we want to see out of the action, spots we're looking to aggressively add risk but still positioned so we will not get shaken out of a quick down move if we were to open to weakness. $DDOG we talk about sizing up in that first entry when it triggers and giving ourselves the ability to take profit into a momentum move higher, but still having enough stock to manage for the long term position trade comfortably. Most traders out there don't look into these secondary characteristics of intraday action while mixing in the macro charts in which I feel is our biggest advantage in this market if you understand what to look for. This is where we find the real alpha. We go over lots more in the video. In the full call we talk market expectations as well as individual member's ideas and go across all the current themes firing in the market. We have such a huge advantage heading into the market each week in this manner, all in sync, with hundreds of eyes spread out tracking the information. What an exciting time to be a trader! I can't get over the opportunity this market is set to provide. Hope you enjoy the video and get something out of it. 🫡 Other charts mentioned: $NAVN $INTC $QCOM $FROG $ARM $APLD $CRWV $AFRM $OSS $AAON $INFQ $MOD $AMKR $CCJ $AFRM $SEDG $IREN $AKAM $SATS $RKLB $NOK $ONDS $PLTR $SKM $AVEX $YETI $SEZL

Shake Pryzby

21,563 次观看 • 1 个月前

Here’s how to ACTUALLY block blue light on your iPhone, most of the apps are actually just filtering a narrow spectrum. This method puts it into pure red light mode. This hack has helped my sleep immeasurably. Step 1: Settings > Accessibility > Display and Text Size > Color Filters Step 2: Turn on color filter > Check “Color Tint” Step 3: Slide the “Intensity” and “Hue” bars all the way to the right (this is maximum red and filters all blue light) Step 4: Go back two screens to “accessibility” then click “Accessibility Shortcut” Step 5: Check “Color Filters” - this turns on the “triple click” function that allows for easy On/Off for this setting How to use: Follow the sun - do not turn off the red light filter until you have consumed true natural red light from the sun in the AM for at least 10-15 mins. I usually wait well into the morning and after my morning outdoor walk before I triple click back to “normal view” Once dusk hits, so too should your red light filter return. So in the winter, that’s like 6p where I live… Ideally, you are not consuming screens at least 2 hours before bed for max circadian support. But if you must, make sure you are at least using this one quick easy technique. Our modern tech lives lead to an absolute decimation of our circadian rhythms, which subsequently leads to all sorts of detrimental impacts like low T, insulin resistance, fat gain, and thyroid dysfunction, amongst many others. Follow Zaid K. Dahhaj and Abud Bakri MD for much deeper analysis on these topics.

Here’s how to ACTUALLY block blue light on your iPhone, most of the apps are actually just filtering a narrow spectrum. This method puts it into pure red light mode. This hack has helped my sleep immeasurably. Step 1: Settings > Accessibility > Display and Text Size > Color Filters Step 2: Turn on color filter > Check “Color Tint” Step 3: Slide the “Intensity” and “Hue” bars all the way to the right (this is maximum red and filters all blue light) Step 4: Go back two screens to “accessibility” then click “Accessibility Shortcut” Step 5: Check “Color Filters” - this turns on the “triple click” function that allows for easy On/Off for this setting How to use: Follow the sun - do not turn off the red light filter until you have consumed true natural red light from the sun in the AM for at least 10-15 mins. I usually wait well into the morning and after my morning outdoor walk before I triple click back to “normal view” Once dusk hits, so too should your red light filter return. So in the winter, that’s like 6p where I live… Ideally, you are not consuming screens at least 2 hours before bed for max circadian support. But if you must, make sure you are at least using this one quick easy technique. Our modern tech lives lead to an absolute decimation of our circadian rhythms, which subsequently leads to all sorts of detrimental impacts like low T, insulin resistance, fat gain, and thyroid dysfunction, amongst many others. Follow Zaid K. Dahhaj and Abud Bakri MD for much deeper analysis on these topics.

Sandeep Palakodeti, MD MPH

207,083 次观看 • 2 年前

The Path to Trading Mastery: Research and Pattern Recognition By Qullamaggie 1. Step-by-Step Market Research The easiest way to start is to research the markets thoroughly. First, get a platform like TC2000 and set your charts to the monthly timeframe. Create a watchlist of all US stocks and filter them by dollar volume instead of just share volume. Aim for liquid names—those with at least $1 billion to $10 billion in monthly dollar volume—to avoid "super thin" or illiquid stocks. 2. Identifying the Big Movers Go through the entire database (roughly 5,000 stocks) and identify the outliers. Look for stocks that: At least doubled in price within six months. Increased 200–300% within a single year. Gained 400–500% over three to four years. Create a separate watchlist for every single stock that has made these massive moves. You will likely end up with a few hundred highly liquid, historical winners. 3. Studying Chart Patterns Go back as far as the 80s or 90s and study their chart patterns. Stocks move in very specific ways. These same patterns occur over and over again—there is nothing truly new in the markets. While there are variations, the patterns that worked in the 90s are the same ones you see today. Focus primarily on price action. You can add a few indicators if you wish—I recommend moving averages—but don't use too many. "Too many indicators is for suckers." Study how these big winners acted during pullbacks: Which moving averages did the best stocks respect or "obey"? How did they behave before the breakout? How did they act once the move was underway? 4. Building Your Mental Database (The 2,000-Hour Rule) Your goal is to build a database in your head. Spend 1,000 hours doing exactly this: printing out charts, studying them, and saving them. (I personally use Evernote to store tens of thousands of these charts). Once you understand the price action, spend another 1,000 hours researching the fundamentals and the news behind those moves. What was driving them? What made a stock go up 500% in a year? If you put in those 2,000 hours of deep research, I promise you: before you know it, you’re going to have ten million dollars in your account.

The Path to Trading Mastery: Research and Pattern Recognition By Qullamaggie 1. Step-by-Step Market Research The easiest way to start is to research the markets thoroughly. First, get a platform like TC2000 and set your charts to the monthly timeframe. Create a watchlist of all US stocks and filter them by dollar volume instead of just share volume. Aim for liquid names—those with at least $1 billion to $10 billion in monthly dollar volume—to avoid "super thin" or illiquid stocks. 2. Identifying the Big Movers Go through the entire database (roughly 5,000 stocks) and identify the outliers. Look for stocks that: At least doubled in price within six months. Increased 200–300% within a single year. Gained 400–500% over three to four years. Create a separate watchlist for every single stock that has made these massive moves. You will likely end up with a few hundred highly liquid, historical winners. 3. Studying Chart Patterns Go back as far as the 80s or 90s and study their chart patterns. Stocks move in very specific ways. These same patterns occur over and over again—there is nothing truly new in the markets. While there are variations, the patterns that worked in the 90s are the same ones you see today. Focus primarily on price action. You can add a few indicators if you wish—I recommend moving averages—but don't use too many. "Too many indicators is for suckers." Study how these big winners acted during pullbacks: Which moving averages did the best stocks respect or "obey"? How did they behave before the breakout? How did they act once the move was underway? 4. Building Your Mental Database (The 2,000-Hour Rule) Your goal is to build a database in your head. Spend 1,000 hours doing exactly this: printing out charts, studying them, and saving them. (I personally use Evernote to store tens of thousands of these charts). Once you understand the price action, spend another 1,000 hours researching the fundamentals and the news behind those moves. What was driving them? What made a stock go up 500% in a year? If you put in those 2,000 hours of deep research, I promise you: before you know it, you’re going to have ten million dollars in your account.

Will Hu

54,905 次观看 • 4 个月前