Pinned Tweet
🔎 Thousands of stocks. Which ones deserve your attention?
Here’s a workflow to narrow the search:
🌎 Theme Trac → Find the strong groups
🎯 Leader Trac → Research the stocks leading
📍 Plan Trac → Define the entry, targets, and invalidation
🚫 The goal isn’t a bigger watchlist.
⭐ It’s a shorter list with a clearer reason behind every name.
☑️ That’s the process behind Trade Tracs.
👑 Follow for more theme-to-trade breakdowns.
📋 Day [8]/30 Scorecard: [5]/5
✅Prep: market context done before the open
✅Theme: traded from the leading theme
✅Plan: entry, stop and target set before entry
✅Manage: Entered and exited at planned levels
✅Journal: trade logged and reviewed
📈 Trades: [2] | Result: [2W/0L]
$BE: Calls, Liquidity sweep entry and sold into resistance
$SPY: Puts, Liquidity sweep entry and sold into support
FOMC delivered on volatility providing for some sick trading action during power hour.
🎯 30-Day Consistent Trader Challenge | Day [8]/30
📊 Market check
$SPY [+0.20% PM] | $QQQ [+.40% PM]
Bias: [Risk-on / Only for the morning session]
🔥 Theme leading today: [Datacenter Power]
👀 Watching:
1️⃣ $VRT – Earnings Gap Up
2️⃣ $BE - Sympathy on $VRT earnings
3️⃣ $CRWV – Neoclouds moving premarket
We have a big day ahead with FOMC and Big Tech earnings, my plan is to trade the morning session, and then wait for FOMC reaction.
Plan before the open. Scorecard after the close. 🔁
🎯 30-Day Consistent Trader Challenge | Day [8]/30
📊 Market check
$SPY [+0.20% PM] | $QQQ [+.40% PM]
Bias: [Risk-on / Only for the morning session]
🔥 Theme leading today: [Datacenter Power]
👀 Watching:
1️⃣ $VRT – Earnings Gap Up
2️⃣ $BE - Sympathy on $VRT earnings
3️⃣ $CRWV – Neoclouds moving premarket
We have a big day ahead with FOMC and Big Tech earnings, my plan is to trade the morning session, and then wait for FOMC reaction.
Plan before the open. Scorecard after the close. 🔁
FOMC and Earnings, a big day ahead xitter.cf/i/broadcasts/1qxoNYlzE…
Not much popping off afterhours with tomorrow being a big day of catalysts.
We have FOMC decision and presser tomorrow afternoon and the start of Big Tech earnings afterhours.
Join me tomorrow morning at 8:30AM as I go live to see what action is moving premarket and prepare a watchlist of name for the initial FOMC reaction.
📋 Day [7]/30 Scorecard: [5]/5
✅Prep: market context done before the open
✅Theme: traded from the leading theme
✅Plan: entry, stop and target set before entry
✅Manage: Entry and Exit at planned levels
✅Journal: trade logged and reviewed
📈 Trades: [2] | Result: [2W/0L]
$NBIS: Entry on a bounce off daily level and sold into strength.
$NVDA: Entry on a retest of an order blook and sold into strength.
Today was a solid day in the markets with money rotating back into tech and the AI Trade. I took advantage of this rotation and bounces in a lot of oversold names.
🎯 30-Day Consistent Trader Challenge | Day [7]/30
📊 Market check
$SPY [+0.3% PM] | $QQQ [+0.47% PM]
Bias: [Risk-on]
🔥 Theme leading today: Neocloud $NCLD
👀 Watching:
1️⃣ $OKTA – Looking for a pullback and bounce
2️⃣ $INTC – bounce of yesterday's highs
3️⃣ $NBIS – Oversold bounce
The market has continued excitement especially in the AI space with the Anthropic IPO news yesterday. Oil and Bond Yields are slightly up and I am looking for continued action from yesterday.
Plan before the open. Scorecard after the close. 🔁
I ended the day with a small win on $NVDA.
I waited all afternoon for this entry, I didnt rush it, but it also left me with very little time to hold for a bigger move.
I took a entry on calls on a bounce off an order block and sold into strength. I left some runners with a trailing stop to see where it wants to go through the end of the day
Today has all been about AI Trade relief.
We can see it clearly at the index and theme levels.
$SPY and $QQQ are up strong with the $RSP down but the $IWM up. This tells us the move is concentrated a bit in growth names.
Looking at the themes, we see all the big AI spaces running:
- AI Hardware +6.01%
- Neocloud +4.81%
- Optics +4.43%
- Memory +4.30%
This is two days in a row of money rotating back into tech and a great sign for the rest of the week. If Big Tech earnings deliver, Bond Yields and Oil stay stable or go down, and FOMC is in line, we could easily rally through the week.
🎯 30-Day Consistent Trader Challenge | Day [7]/30
📊 Market check
$SPY [+0.3% PM] | $QQQ [+0.47% PM]
Bias: [Risk-on]
🔥 Theme leading today: Neocloud $NCLD
👀 Watching:
1️⃣ $OKTA – Looking for a pullback and bounce
2️⃣ $INTC – bounce of yesterday's highs
3️⃣ $NBIS – Oversold bounce
The market has continued excitement especially in the AI space with the Anthropic IPO news yesterday. Oil and Bond Yields are slightly up and I am looking for continued action from yesterday.
Plan before the open. Scorecard after the close. 🔁
Premarket is continuing to show optimism in the AI trade on the back of the Anthropic news.
Leading Themes Premarket:
- Neocloud +2.83%
- Emerging Markets +2.76%
- Lidar/Sensors +2.68%
- Digital Assets +2.64%
- Optics +2.5%
- Memory +2.4%
Some of the names I will be watching at open:
$OKTA
$CRDO
$AAOI
$NBIS
$INTC
AI Trade moving premarket, let's dig in xitter.cf/i/broadcasts/1DGleVAXZ…
Afterhours is showing action in AI themes:
Neocloud +1.21%
Optics +1%
AI Hardware +0.9%
Datacenters +0.64%
Stocks I have on watch going into Premarket:
$OKTA
$CRWV
$GLXY
$AAOI
$CRDO
$INTC
Join me tomorrow around 8:30AM when I go live to analyze premarket action and decide the best setups to watch on the day.
Do not take my word about Trade Tracs, listen to someone who is a serious trader and uses the platform. tradetracs.com/signup
I have spent the last couple of weeks exploring Trade Tracs, and I think more traders and investors should know what @CaseyVSilver is building.
First, I want to make something clear. This is NOT a paid partnership or sponsored post. I am not promoting this because someone asked me to. I am sharing it because I have been using the platform, I find it useful, and I believe other traders and investors could benefit from exploring it.
If you follow Casey, you probably already know that he spends a lot of time analyzing the market during his live sessions and sharing his observations with the community.
Trade Tracs is the platform he is building around that work.
And after spending some time going through the different tools, I realized there is much more here than simply looking for stocks that might go up.
Let me explain what I found and how I think these tools can be useful.
First, the Market Overview.
When I open the dashboard, I can quickly see what the major indexes are doing, which sectors are leading, which industries are performing better and how the overall market is behaving.
There are interactive charts with moving averages, market movers, quick insights and direct access to other research tools.
For example, if financial stocks are showing strength while technology is struggling, I can immediately start investigating whether that is just a daily difference or something developing into a broader rotation.
This is useful because I don't want to analyze a stock without understanding the market environment around it.
Then there is Daily Tracs.
This is where Casey's daily market commentary becomes particularly interesting.
He shares his market bias, important index support and resistance levels, macro developments, sectors worth following and stocks on his watchlist.
I also like the historical archive because I can go back and see how his market interpretation changed from one session to another.
For example, one day the market might be preparing for a technology rebound, while the next session earnings results introduce new risks. Having those observations organized helps me understand the thinking behind the changes.
I don't have to agree with every conclusion to find the process useful.
Sector Trac is another tool I particularly like.
It shows how different sectors are performing relative to the broader market and allows comparisons across different timeframes.
You can examine which sectors are strengthening, weakening or holding their position, and explore heatmaps showing how individual companies are contributing.
For example, utilities, healthcare and consumer defensive stocks might start showing better relative performance while technology or consumer cyclical groups weaken.
That immediately gives me something to investigate.
Is the market becoming more defensive? Is leadership changing? Or are we simply looking at a temporary divergence?
The platform also includes sector rotation and money flow classifications. I treat those as indications of changing relative performance, not direct proof of institutional transactions.
Then comes Theme Trac, and this is where things get even more interesting for my own research.
Instead of stopping at traditional sectors, I can investigate specific market themes.
Cybersecurity, enterprise software, memory, semiconductors, AI infrastructure, data center power, rare earths, copper, gold miners, robotics, autonomous vehicles, nuclear energy and many others.
This matters because a sector can look weak while a particular theme inside it is showing relative strength.
Take technology as an example.
Semiconductors could be losing momentum while selected cybersecurity or enterprise software companies are holding up much better.
Or AI infrastructure could be weakening while memory or software applications are attracting more attention.
Theme Trac helps identify these differences without having to manually open dozens of charts just to find out where the stronger pockets might be.
And what about individual trade opportunities?
That is where Signal Tracs becomes useful.
The platform identifies potential setups and presents information such as entry zones, stop levels, targets and its own conviction assessment.
I saw examples involving $CHKP, $CART and $QLYS, each with its own trading plan rather than simply a ticker and a bullish label.
I like that approach because a stock idea without an entry, an invalidation level and a risk assessment is incomplete.
Of course, these are the platform's model assessments, not guaranteed outcomes. I still need to validate the chart myself, but having that information organized gives me a starting point.
The Market Breadth and VIX tools are also worth exploring.
This is something I pay close attention to in my own market analysis.
The platform tracks advancing and declining stocks, participation above important moving averages, broader bullish and bearish classifications and changes in volatility.
Think about a situation where the major indexes are holding up relatively well, but most individual stocks are trading below their intermediate moving averages.
That tells a very different story from the index chart alone.
And combining that information with the VIX helps me understand whether the market environment is becoming more difficult for swing trading.
There is also a Market Regime and Health Scorecard.
This brings trend, breadth and volatility together into a broader assessment of market conditions.
What I find useful is that it doesn't stop at giving the market a label.
It connects that assessment to a trading playbook.
For example, during a difficult environment, the platform may favor smaller starter positions, tighter risk controls, selective pullbacks and more patience instead of chasing breakouts.
It also separates stronger themes from those showing deteriorating momentum.
I already use my own technical systems for these decisions, but seeing another structured interpretation is useful for comparing conclusions and questioning my assumptions.
Now, one area that deserves more attention is the earnings research section.
There is an earnings calendar, historical earnings analysis, surprise tracking, pre-earnings sentiment, model-based earnings expectations and post-earnings reviews.
You can investigate which companies are reporting, what analysts expect, whether estimates have been revised and how previous results compared with expectations.
There is also an Earnings Flag tool that identifies potential chart structures developing after significant earnings gaps.
This is interesting for swing traders.
Imagine a company reports better than expected results, gaps higher and then begins consolidating instead of immediately giving back the move.
Rather than manually searching through hundreds of earnings charts, the platform can help narrow down which ones deserve a closer look.
That doesn't make the setup trade ready, but it can save research time.
And I would treat the earnings prediction scores as screening estimates, not validated probabilities of success.
Macro Trac adds another layer.
This section connects market preparation with economic events, central bank decisions, inflation, bond yields and major global headlines.
It also includes market news sentiment and a broader economic calendar.
For example, if I am preparing a technology swing trade ahead of a Federal Reserve decision, I want to know that the event is coming and understand how it could affect market volatility.
A technically attractive chart can still become a difficult trade when a major macro catalyst changes market conditions.
Being aware of that risk matters.
And there are more tools available.
Scanners, interactive charts, trade planning, a trading journal, market news and other features designed to help organize the process.
I have not explored every feature to the same depth yet, and this is certainly not a complete presentation of the platform.
But what I have seen so far is enough for me to understand the direction Casey is taking.
What I appreciate most is that these tools connect different parts of the trading process.
Market environment first.
Then sector and theme strength.
Then individual stock selection.
Then technical confirmation, entry quality and risk management.
And finally, reviewing the decisions afterward.
That is close to how I already approach the market with my own screening systems, technical indicators and research process.
Trade Tracs doesn't replace those systems for me, and I don't expect it to.
But it gives me another perspective, helps me discover information faster and provides tools that I can compare against my own analysis.
For day traders and swing traders, I think there is quite a bit here worth exploring. Long term investors can also use the sector, theme, earnings and macro tools, although deeper fundamental research remains necessary.
And I want to emphasize something.
Using a tool like this doesn't mean blindly following every signal or accepting every market prediction.
You still need to understand what you are trading, validate the evidence and manage your own risk.
No dashboard can remove uncertainty from the market.
But a well organized research process can help us make more informed decisions.
That is what I look for when evaluating trading tools.
So credit to my friend @CaseyVSilver for the work he is putting into Trade Tracs, for sharing his market analysis with the community and for building something that traders can actually explore and use.
I appreciate people who don't just talk about their process but put real effort into building tools around it.
If you haven't explored the platform, take a look and decide whether it fits your own workflow.
tradetracs.com/
Again, this is not a paid partnership. Just me sharing another tool I have been using in my everyday market research.
And if you find something useful in it, that is exactly why I wanted to share it.
My market journal, not financial advice.
📋 Day [6]/30 Scorecard: [5]/5
✅Prep: market context done before the open
✅Theme: traded from the leading theme
✅Plan: entry, stop and target set before entry
✅Manage: Entered and exited at planned levels
✅Journal: trade logged and reviewed
📈 Trades: [1] | Result: [1W/0L]
$VST: Bought off liquidity sweep
Today we had a lot of solid action with the market up broadly. Tech particularly bounced well off the recent sell off action.
These types of days can be hard with so many stocks moving and a lot of FOMO kicking in.
This is why we plan our trades, so when emotion comes in, we can ignore it, and trade our system.
🎯 30-Day Consistent Trader Challenge | Day [6]/30
📊 Market check
$SPY [+.20% PM] | $QQQ [+.40% PM]
Bias: [Risk-on]
🔥 Theme leading today: [Memory] ([$DRAM])
👀 Watching:
1️⃣ $INTC - bouncing off weekly level
2️⃣ $VST – bouncing off weekly level
3️⃣ $AAOI – bouncing off weekly level
Plan before the open. Scorecard after the close. 🔁
#ConsistentTrader
Days like today are fun to trade but I also find harder to trade.
When everything is ripping, being able to focus on a few stocks is hard.
It is also hard not to chase something you have been watching for a bit.
Big win on $VST
AI names were getting action premarket with AI Power being one of the stronger sub-themes.
I took entry on a liquidity sweep and rode it up to session highs.


















