Momentum stayed firm on Feb 4 with multiple names printing higher highs for a third straight session. $ORKT led the list, rallying 83.1% on volume up more than 5,000%, while $ZSL, $ETQ, and $BMNZ followed with gains above 57% each. $PSIG stood out with a 12,869% jump in traded volume, signaling aggressive accumulation backed by conviction flow.
In the Bollinger Band group, $SNDK remained a clear leader, advancing 62.6% with 28M shares traded, confirming sustained breakout momentum. $CONI and $CRCD also pressed against upper bands with price gains of 57% and 56%, both supported by expanding volume. $MOD and $LRN each showed follow‑through up 48.7% and 28.4%, extending the trend into industrials and education names.
The tape reflects broad continuation of strength in small and mid‑cap momentum. When price expansion and volume spikes align across multiple sessions, it highlights durable participation and conviction buying rather than isolated volatility.
The Feb 4 options tape showed a sharp pickup in split‑side selling across several high‑profile names. $WMT led with a 3,850% increase in split‑sold flow over the last three sessions, reflecting heavy profit‑taking after its recent advance. $BKNG followed at 2,300%, and $BX posted a 1,028% rise, confirming continued rotation out of crowded longs.
In semiconductors, $SMH and $SMCI both recorded triple‑digit percentage increases in split selling, 44% and 152% respectively. The $SMH chart showed a clear fade through the session with growing volume on each sell wave, aligning with the broader unwind across the chip group.
Energy and infrastructure names such as $UNG, up 783%, and $LITE, up 1,600%, added further evidence of a shift toward defensive positioning.
The steady three‑day build in split‑sold flow suggests controlled distribution rather than panic. When multiple sectors show synchronized selling of premium, it often indicates institutions are rebalancing risk post‑earnings rather than exiting entirely.
The Feb 4 tape showed tight, high‑value rotations across semiconductors and select large‑cap tech. $AVGO dominated flow with multiple split trades on the Mar 6 2026 $310C line, totaling over $40M in premium. The repeated prints on both buy and sell sides indicate disciplined two‑way positioning rather than fresh directional bets.
$NVDA followed with a $172.5P split trade worth $8.9M and a $180C sweep for $7.4M, showing the market managing gamma exposure after recent volatility. $TSLA also appeared with a $150C sweep for $7M, keeping options activity concentrated in megacaps.
Beyond tech, accumulation was visible in defensive and commodity names. $NVO, $LLY, and $XBI all showed steady call buying between $6M and $11M in premium, while $SLV continued to print on both sides of the tape with a $7.2M sell at the $90C.
Overall, the session reflected controlled, institution‑led balancing across chip names and defensives. When both tech and healthcare register steady premium turnover, it often points to rotation rather than liquidation.
Earnings for Feb 4 feature heavyweight reports across tech, healthcare, and global finance. $GOOG leads after hours with a $4.15T market cap and a $2.58 EPS estimate, anchoring tech sentiment into the close. $QCOM also reports late, with a $163B cap and a $2.80 EPS estimate, offering a key look at chip demand.
Pre‑market action is dominated by pharma and financials. $LLY sets the tone with a $987B valuation and a strong $6.99 EPS forecast, followed closely by $ABBV and $NVS at $2.66 and $1.99, respectively. $NVO joins the list at $0.90 EPS, extending visibility across the healthcare complex.
In financials, $SAN and $UBS report early with $0.25 EPS projections each, providing insight into European credit conditions and cross‑border capital flows. $UBER and $BSX round out the morning session at $0.79 and $0.78 EPS, reflecting transportation and medical device strength.
Macro data hits early with ADP Non‑Farm Employment Change at 07:15, followed by Services PMI at 09:00 — a dense slate of catalysts spanning labor, tech, and healthcare to start the week.
Strategy gets you into the trade. Psychology keeps you in the game. 🧠
Most traders spend years refining their entry criteria but ignore the mental framework required to execute it. This graphic outlines the four non-negotiables for longevity:
✅ Risk Management: Never risk more than 3% of your account on a single trade.
✅ Competence: Only trade what you understand—don't chase hype.
✅ Discipline: Always use a stoploss. No mental stops. No excuses.
Build your mind first. The profits will follow.
Did you win because you were right, or because you refused to fold? 😰
A green PnL doesn't always mean a good trade. The MAE (Maximum Adverse Excursion) chart (Top Right) reveals how much "heat" (drawdown) you endured to get that win.
If your Green Dots are scattered far to the right, it means you are sitting through massive losses and hoping the price comes back.
That isn't trading; that's hoping.
If a trade goes that far against you, it should be a Red Dot, not a lucky Green one.
How much is your hesitation costing you? 💸
We often hold losers too long and cut winners too short. This tool proves it mathematically.
The Stop Loss/PT Simulator takes your actual trades and re-runs them with fixed exit rules.
The results in this example are shocking. ✨
That is a 2,400% increase just by removing human emotion from the exit. Don't guess. Simulate.
New feature tomorrow 👀
We think this is going to be helpful for a lot of traders
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It works *really* well with some of the other features we already have 😉
We're just getting started. 🔥
Your subconscious has patterns. The AI reveals them. 🧬
We often don't realize that we trade differently on Thursday evenings compared to Monday mornings.
This feature digs deep into your behavioral data to find those nuances.
Here, the AI spotted a critical risk management insight: "Implement Stop-Loss for XAUUSD.FOREX." It quantified the benefit, noting that using a stop-loss limits average losses to -$30, while successful take-profits yield +$50.
This is data-driven coaching that proves exactly why you need to stick to your rules. Diagnose your habits. Prescribe the fix.