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RT @jfsrev: 27 Strongest Groups with RS Above 85% (1-Month)

$BUG - Pure Cybersecurity Software
$CIBR - Cybersecurity Software & Infra
$XSD - Semiconductors (Equal)
$SOXX - Broad Semiconductor
$EWZ - Brazilian Equities
$BAI - AI & Tech Active
$SMH - Semiconductors Giants
$EUV - Photonics
$IGV - US Tech/Software
$MAGS - Magnificent 7
$MEME - Meme
$WCLD - Cloud Tech
$SVIX - Short VIX Futures (Volatility)
$UNG - Natural Gas
$ARKW - ARK Internet & Next-Gen Tech
$QTUM - Quantum/AI
$AIQ - AI Software & Data Processing
$NASA - Space Economy
$FDN - US Internet Giants
$ROBO - Robotics & Automation
$ILF - Latin America 40
$IDGT - Digital Infrastructure & Data Centers
$SPMO - S&P 500 Momentum
$IYZ - Telecommunications Services
$XTL - Telecom
$XSW - Software (Equal)
$FFTY - IBD 50

RT @jfsrev: $BE via $BEX (Update)

Tough week. Close to stopping out on the final tranche within a single session. Also stopped out on $NET on T+2 on loss this week. If you’ve been struggling with recent entries, with the exception of names like $P, you’re not alone. This has been a difficult market for everyone. $P - https://x.com/jfsrev/status/2105665009569448038

The journey to becoming a successful trader is never easy. There will be uncertainty, setbacks, mistakes, and difficult periods like this one.

But keep going. Stay resilient, learn from every loss, adapt to the market, and keep sharpening your process. Progress is built through consistency and perseverance, and every difficult market is another opportunity to become a better trader.

RT @jfsrev: adventurous only with money you can afford to be wrong about.

RT @jfsrev: This week’s 33 strongest-moving stocks with dollar volume above $100M, organized by industry group.

$TWLO - Software - Infrastructure
$NBIS - Software - Infrastructure
$DOCN - Software - Infrastructure
$BB - Software - Infrastructure
$U - Software - Application
$FROG - Software - Application
$WOLF - Semiconductors
$VSH - Semiconductors
$SMTC - Semiconductors
$MXL - Semiconductors
$CRDO - Semiconductors
$ARM - Semiconductors
$AXTI - Semiconductor Equipment & Materials
$AEHR - Semiconductor Equipment & Materials
$COHR - Scientific & Technical Instruments
$PBF - Oil & Gas Refining & Marketing
$SEI - Oil & Gas Equipment & Services
$TXG - Medical Devices
$PENG - Information Technology Services
$ACN - Information Technology Services
$TTMI - Electronic Components
$OUST - Electronic Components
$CLS - Electronic Components
$FPS - Electrical Equipment & Parts
$BE - Electrical Equipment & Parts
$SMCI - Computer Hardware
$IONQ - Computer Hardware
$VIAV - Communication Equipment
$LITE - Communication Equipment
$HPE - Communication Equipment
$CIEN - Communication Equipment
$AAOI - Communication Equipment
$ASST - Asset Management

RT @jfsrev: adventurous only with money you can afford to be wrong about.

RT @jfsrev: This week’s 33 strongest-moving stocks with dollar volume above $100M, organized by industry group.

$TWLO - Software - Infrastructure
$NBIS - Software - Infrastructure
$DOCN - Software - Infrastructure
$BB - Software - Infrastructure
$U - Software - Application
$FROG - Software - Application
$WOLF - Semiconductors
$VSH - Semiconductors
$SMTC - Semiconductors
$MXL - Semiconductors
$CRDO - Semiconductors
$ARM - Semiconductors
$AXTI - Semiconductor Equipment & Materials
$AEHR - Semiconductor Equipment & Materials
$COHR - Scientific & Technical Instruments
$PBF - Oil & Gas Refining & Marketing
$SEI - Oil & Gas Equipment & Services
$TXG - Medical Devices
$PENG - Information Technology Services
$ACN - Information Technology Services
$TTMI - Electronic Components
$OUST - Electronic Components
$CLS - Electronic Components
$FPS - Electrical Equipment & Parts
$BE - Electrical Equipment & Parts
$SMCI - Computer Hardware
$IONQ - Computer Hardware
$VIAV - Communication Equipment
$LITE - Communication Equipment
$HPE - Communication Equipment
$CIEN - Communication Equipment
$AAOI - Communication Equipment
$ASST - Asset Management

RT @jfsrev: The tech and mega-growth segments would be better represented by this kind of price action, at least it helps avoiding getting caught in the chop.

$RSP $IWM $DIA $IVE

RT @jfsrev: Outsized performance isn’t driven by trade selection alone—it comes down to these four principles, which have a far greater impact on your results than simply being right on a few trades.

Two traders can run the exact same ideas over a full year and still end up with drastically different outcomes—anywhere from +30% to +500% on the same set of trades.

The gap comes down to

1. Execution Quality — the same idea traded to the same exit price can be a 3R vs 10R difference on the same 1R loss. You multiply that by one full year of trade execution. Optimal entry is very important to me, and if you’re subscribed, you’ll know how strict I am about what qualifies as an actionable setup. I am very sure this is the biggest takeaway from the community how entry quality can define your performance in just under 2 weeks (avoiding stop losses specifically).

2. Dynamic Risk as a % of Equity — which drives position sizing and it has to be anchored dynamically to your streak. you can't possibly be trading the same % risk when you are on a downswing, and running the same % risk when market has rewarded your diligence and situational awareness),

3. Capital efficiency — and the ability to compound within a single idea enhanced through leveraged ETFs versus outright stock exposure ( 3x ETF has positive compounding that give you more than 3x return at 33% of the capital required when trend eg. $SOXX +54% vs $SOXL +211% in 42 days)

4. Sell rules — minimizing loss size when wrong ((a stop loss should not be fixated to -1R. It can be done much less than that eg. -0.67R per loss) while maximizing gains when right (are you willing to part some shares to sell at strength on your most eutrophic winner that makes u feel great that day? how controlled are your unrealized profit loss per trade to your final exit?)

Don’t keep repeating the same approach if it isn’t producing the results you want. Use the four rules above as a framework, backtest them against your trading data over the past few years, and review the outcome. You may gain clarity on the direction you need to take next.

https://jfsrev.substack.com/my-trading-tools-process-routine

RT @jfsrev: New market breadth display by @TradingView, just released today. It covers market breadth across countries and, best of all, it’s free for all users.

i.e.
USA: https://t.co/WmBMGfxxIm

India: https://t.co/hOdq2ZBM1E

Singapore: https://t.co/Mvlq3ENVpo

RT @jfsrev: your current situation doesn't define you. all it takes is one good year, one good summer, one good month,

and it all begins with 1 good day.

RT @jfsrev: $DELL — Extremely difficult to short term swing trade this even with decent relative strength. $HPE is similar.

RT @jfsrev: New market breadth display by @TradingView, just released today. It covers market breadth across countries and, best of all, it’s free for all users.

i.e.
USA: https://t.co/WmBMGfxxIm

India: https://t.co/hOdq2ZBM1E

Singapore: https://t.co/Mvlq3ENVpo

RT @jfsrev: $P is the only stock that really stands out (again) alongside $QQQ wedge breakout and reclaim of all major MAs on September 17th.

It compressed back from 10 x ATR% from 50-MA extension to 2.6 in a month, before moving again on September 17th.

Me: "Dear God of Trading, it's me again...."

RT @jfsrev: $NKE - Monthly Chart with Quarterly EPS & Sales Growth YoY

A display of how quarterly earnings and sales growth or deceleration drive long-term stock performance.

Earnings Per Share (EPS): $0.48 beat vs. $0.44
(down 2% YoY)
Revenue: $11.21 billion miss vs. $11.33 billion
(down 4% YoY)

PS: Free EPS & Sales script on @tradingview by @DumbleDax
https://jfsrev.substack.com/i/171965773/my-templates-indicators-that-i-used-and-how-to-utilize-them

RT @jfsrev: 31 Strongest Stocks After a Final 15-Minute Sell Off, Closing at Day Low

$GME - Specialty Retail
$ZETA - Software - Infrastructure
$TWLO - Software - Infrastructure
$TENB - Software - Infrastructure
$OKTA - Software - Infrastructure
$NBIS - Software - Infrastructure
$BB - Software - Infrastructure
$FROG - Software - Application
$DDOG - Software - Application
$SMTC - Semiconductors
$MXL - Semiconductors
$ALAB - Semiconductors
$AXTI - Semiconductor Equipment & Materials
$AEHR - Semiconductor Equipment & Materials
$PBF - Oil & Gas Refining & Marketing
$SEI - Oil & Gas Equipment & Services
$WRBY - Medical Instruments & Supplies
$TXG - Medical Devices
$BRKR - Medical Devices
$TEM - Health Information Services
$AMC - Entertainment
$OUST - Electronic Components
$CLS - Electronic Components
$BE - Electrical Equipment & Parts
$TGB - Copper
$UMAC - Computer Hardware
$P - Computer Hardware
$IONQ - Computer Hardware
$VIAV - Communication Equipment
$LITE - Communication Equipment
$HPE - Communication Equipment

@finviz_com

RT @jfsrev: 31 Strongest Stocks After a Final 15-Minute Sell Off, Closing at Day Low

$GME - Specialty Retail
$ZETA - Software - Infrastructure
$TWLO - Software - Infrastructure
$TENB - Software - Infrastructure
$OKTA - Software - Infrastructure
$NBIS - Software - Infrastructure
$BB - Software - Infrastructure
$FROG - Software - Application
$DDOG - Software - Application
$SMTC - Semiconductors
$MXL - Semiconductors
$ALAB - Semiconductors
$AXTI - Semiconductor Equipment & Materials
$AEHR - Semiconductor Equipment & Materials
$PBF - Oil & Gas Refining & Marketing
$SEI - Oil & Gas Equipment & Services
$WRBY - Medical Instruments & Supplies
$TXG - Medical Devices
$BRKR - Medical Devices
$TEM - Health Information Services
$AMC - Entertainment
$OUST - Electronic Components
$CLS - Electronic Components
$BE - Electrical Equipment & Parts
$TGB - Copper
$UMAC - Computer Hardware
$P - Computer Hardware
$IONQ - Computer Hardware
$VIAV - Communication Equipment
$LITE - Communication Equipment
$HPE - Communication Equipment

@finviz_com

RT @jfsrev: use this direct free link

https://finviz.com/screener?v=111&f=etf_inverse_inverse2x|inverse3x,etf_structuretype_astactivesemitransparent|etfopenendfund|etc,ind_exchangetradedfund,sh_avgvol_o2000,ta_volatility_wo3&ft=4&o=-volume&preset=s151477341

RT @jfsrev: US10Y at 5.25%, Again — A Swing Trader’s Perspective

Many are paying attention to the US 10Y breaching 5.25% — a level last seen in May 2007, roughly 5 months before the market peaked ahead of the Global Financial Crisis sell off.

The historical comparison is interesting, but 5.25% itself does not necessarily signal another 2007. What matters is the potential economic impact of sustained higher rates. As the cost of money rises, refinancing becomes more expensive, interest expenses increase, leverage becomes harder to carry and asset valuations can face pressure. eg. Data center operators face higher costs to finance and service billions of dollars in infrastructure debt, while also will be competing with government bond issuers for the same pool of capital at a higher cost of funding for their next tranche of debt, and homeowners rolling over mortgages face higher debt-service costs and substantial spike in their monthly repayment.

For short term swing traders, the historical parallel itself matters less. What matters is the potential for a higher volatility environment. If that volatility materializes, the opportunity is to remain flexible and capitalize on high reward-to-risk setups, particularly on the inverse side of the market when the technical setup and execution window align.

One way to prepare is to build a separate arsenal of highly liquid inverse instruments of watchlist eg. $SQQQ $SOXS $LABD $TZA $UVIX. At least when the market presents the right setup, you're prepared to act rather than scrambling to find the vehicle after the move has already started.

Just do a simple straight forward screener like this

https://finviz.com/screener?v=111&f=etf_inverse_inverse2x|inverse3x,etf_structuretype_astactivesemitransparent|etfopenendfund|etc,ind_exchangetradedfund,sh_avgvol_o2000,ta_volatility_wo3&ft=4&o=-volume&preset=s151477341

RT @jfsrev: My non negotiables pre-market routines:

1. A 90-minute heavyweight workout
2. A 90-minute coffee session with laptop for post-market position management, screening, and watchlist updates
3. continual 90 minutes dedicated to growth refinement (strategy optimization, journaling, educational content, and your own financial oversight)
4. 45 minutes of functional training or cardio

When you make your decision to go full-time trading, nobody knows how hard you hustle for your goals, how much sleep you lose, or the daily pressure you face without a salaried income.

That's why you remember to do it for yourself.

RT @jfsrev: Keep pushing.

32kg kettlebell lunge swing (5 sets x 20),

100 reps.

RT @jfsrev: Keep pushing.

32kg kettlebell lunge swing (5 sets x 20),

100 reps.

RT @jfsrev: "Your comfort grows as you practice your skills."

RT @jfsrev: @TaPlot @marketsurge Praying all is well. Wishing you nothing but strength through this fight. My timeline has been missing your quality commentary.

RT @jfsrev: Today is likely another September 1st type opportunity.

My most active trading days this month are only 3 (MTD);

September 1st,
September 4th,
Today (September 10th).

I was already peeling size on September 8th when everyone is chasing the breakouts in $DRAM and $SOXX names.

You don't need to trade everyday. Let the action come to you, don't chase it.

RT @jfsrev: A Simple Situational Awareness Read on Near-Term Extension in Under 10-Minutes.

The question that's always on our minds after a month or two of rallies, especially following a red day, is: "Are we too extended in the short term to stay involved?" I would like to share with you some simple tickers that you can put in your watchlist panel with preset overbought/oversold zone, and how I would digest them in a quantitative manner based on recent historical behavior. This approach ignores individual price action and instead focuses on the underlying market dynamics.

I go by this sequence of

1) % Stocks Above 20-MA,
2) MMTW Comparative to ATR% Extension from 50-MA of Their Index Chart,
3) The Current Market Rhythm Based on MA,
4) VIX/VXVCLS Ratio

I want to reiterate that this is primarily useful for short-term swing traders. If you operate on a longer timeframe, you should shift the anchoring metrics accordingly for the same analysis. For example, using % of stocks above the 50-MA instead.

For historical reference on how I’ve used this in real time over the past few years, you can refer to the link provided.
https://jfsrev.substack.com/i/171965773/chapter-5-from-post-market-focus-list-to-pre-market-routine-and-situational-awareness

RT @jfsrev: Today's market is a reminder that the first 30 minutes of a gap-up can be very expensive

RT @jfsrev: