SNOW

BUZZ · Weight increase · 2d

Currently trading at $271.87, Snowflake Inc. is at 97% of its $280.16 52-week high, having delivered a 90-day return of +50.6% and a 30-day return of +4.1%. This sustained ascent coincided with BUZZ's sentiment-tracking methodology identifying a strengthening positive perception for SNOW across social media and news. The fund, which passively tracks sentiment intensity, increased SNOW's portfolio allocation from 0.6100% on July 2nd to 0.6600% by July 14th, with distinct bumps on July 13th and 14th. This consecutive weight gain indicates a rising positive sentiment score, as interpreted by the ETF's NLP algorithm, even as the stock approached the upper bound of its annual trading range. This specific move for Snowflake highlights BUZZ's direct translation of aggregated crowd sentiment into portfolio adjustments, regardless of current price levels.

weight 0.620% → 0.660% (+0.040 pp)·stock up 14.8% in the 30 days before

Jul 14·entry $275.94·now $274.34Fresh

BUZZ · Accumulation · 5d

The weight in BUZZ for SNOW showed a gradual accumulation, climbing from 0.5500% to 0.6200% over the June 25th to July 7th period, with minor fluctuations. This steady increase directly aligns with BUZZ's algorithmic sentiment tracking, which analyzes NLP signals from social media, blogs, and news. SNOW's recent price action, including a 30-day return of +47.1% and its current position at 93% of its 52-week high, would predictably generate a sustained and growing volume of positive public discussion. As an ETF designed to passively reflect such crowd signals, BUZZ's index would steadily elevate SNOW's ranking based on this rising sentiment intensity, leading to the observed incremental allocation adjustments within its monthly rebalancing cycle.

weight 0.550% → 0.620% (+0.070 pp)·stock up 7.6% in the 30 days before

Jul 7·entry $262.74·now $274.34Drifting

BUZZ · Accumulation · 5d

The gradual increase in Snowflake's (SNOW) weighting within BUZZ, moving from 0.54% to 0.61% over ten trading days, reflects a consistent, rising positive sentiment. This incremental accumulation aligns directly with BUZZ's algorithmic sentiment tracking method, which uses NLP across social media and news to rank stocks by positive intensity. With SNOW experiencing a 30-day return of 52.6% and trading at 94% of its 52-week high, these price movements would naturally fuel heightened positive discussions across the digital channels BUZZ monitors. Such a sustained and slow build-up of weight, rather than an abrupt shift, is consistent with BUZZ's structure as a passive ETF whose index rebalances monthly, suggesting a steady climb in SNOW's sentiment ranking throughout this period.

weight 0.540% → 0.600% (+0.060 pp)·stock up 8.6% in the 30 days before

Jul 6·entry $262.09·now $274.34Drifting

BUZZ · Accumulation · 5d

Snowflake's substantial recent price appreciation, showing a 58.3% 30-day return and trading at $262.09, which is 94% of its 52-week high of $280.16, has evidently generated heightened positive sentiment. This observable uptrend in public discourse regarding the Information Technology company, captured by BUZZ's NLP algorithms across social media and news, appears to be the driving force behind the fund's portfolio adjustments. As an algorithmic sentiment tracker designed to passively hold stocks ranked by positive-sentiment intensity, BUZZ's gradual increase of SNOW's weight from 0.54% to 0.61% suggests that sustained positive commentary has elevated the stock's sentiment ranking. The consistent and increasing intensity of positive sentiment likely led the underlying BUZZ NextGen AI US Sentiment Leaders Index to incrementally adjust SNOW's target allocation, which the ETF subsequently tracks at these elevated price levels.

weight 0.540% → 0.610% (+0.070 pp)·stock down 0.4% in the 30 days before

Jul 2·entry $260.15·now $274.34Drifting

BUZZ · Accumulation · 5d

SNOW's 30-day return of +55.8% and its current price of $260.15, sitting at 93% of its 52-week high of $280.16, indicate a period of considerable upward price momentum leading into late June and early July. This price trajectory likely amplified discussions across social media, blogs, and news, which BUZZ's NLP methodology analyzes to rank stocks by positive-sentiment intensity. The algorithmic sentiment tracker's gradual accumulation, increasing SNOW's weight from 0.5100% on June 22nd to 0.6000% by July 1st, directly correlates with this surge in public interest and detected positive sentiment. BUZZ, as a fund passively tracking its index through monthly rebalances, reflects the sustained positive market chatter surrounding SNOW as it approached its recent valuation peaks.

weight 0.510% → 0.600% (+0.090 pp)·stock down 6.8% in the 30 days before

Jul 1·entry $261.19·now $274.34Drifting

BUZZ · Weight increase · 2d

BUZZ initiated its allocation to Snowflake with an initial 0.52% weight on June 18th, subsequently increasing its exposure in a stepped progression over several trading days to reach 0.59% by June 26th. This incremental accumulation directly reflects the ETF's algorithmic sentiment tracking, where SNOW's recent 30-day return of +59.8% and 90-day return of +40.4% likely generated a significant and sustained wave of positive discussion across social media, blogs, and news. As the BUZZ NextGen AI US Sentiment Leaders Index identifies intensifying positive sentiment from its NLP analysis, it increases SNOW's ranking, leading to these observed weighting adjustments within its passive, monthly rebalancing framework. The company's current price of $251.65, nearing 90% of its 52-week high, provides a clear basis for the elevated crowd optimism that BUZZ's methodology is specifically designed to capture, translating a retail-crowd signal into portfolio allocations.

weight 0.540% → 0.590% (+0.050 pp)·stock up 42.1% in the 30 days before

Jun 26·entry $248.96·now $274.34Chased

BUZZ · New entry · 1d

BUZZ, which tracks sentiment leaders by applying NLP to social media and news, initiated a position in SNOWFLAKE INC, reflecting a significant rise in positive public chatter. This new 0.52% allocation on June 18th indicates that SNOW's sentiment intensity qualified it for inclusion during the ETF's monthly index reconstitution, a process that determines its approximately 75 US large/mid cap holdings. The algorithmic sentiment tracker's move aligns with SNOW's recent market performance, where the stock registered a +48.6% return over the past 30 days. Currently trading at $226.59, or 81% of its 52-week high, SNOW's valuation reflects the momentum captured by BUZZ's methodology, which functions as a retail-crowd signal.

weight 0 → 0.520% (new)·stock up 37.0% in the 30 days before

Jun 18·entry $232.29·now $274.34Chased

LQAI · Weight increase · 3d

LQAI, managed through the LG-Qraft collaboration, applies Qraft's AI ranking to its US large-cap core universe of approximately 100 holdings, rebalancing weekly. The AI-driven selection engine likely identified a strengthening signal in Snowflake (SNOW) over recent days, prompting the consecutive weight increase from 0.19% to 0.29%. This incremental allocation by the AI-managed portfolio, which aims for an AI-driven name selection without heavy factor tilts, likely reflects a positive algorithmic assessment of SNOW's current market momentum. The system would have registered the stock's +86.2% 30-day return, guiding the weekly rebalance to adjust its exposure to this name now trading at 100% of its 52-week high. The fund's position, midway between broad and concentrated momentum strategies, allows for such adaptive changes based on its AI's evolving conviction.

weight 0.190% → 0.290% (+0.100 pp)·stock up 105.3% in the 30 days before

Jun 1·entry $280.16·now $274.34Fresh

LQAI · Weight increase · 2d

Snowflake shares currently trade at $255.55, representing 92% of its 52-week high of $277.14, following a strong 30-day return of +77.5%. The LG-Qraft collaboration's AI engine, which drives LQAI's weekly rebalances and stock selections within its US large-cap core universe, likely registered this significant recent price movement. This AI-driven ranking, operating between broad and concentrated momentum styles, appears to have increased conviction in Snowflake on May 28th and May 29th, elevating its weight from 0.19% to 0.25% and then 0.27% as the stock approached its yearly peak. The consecutive increases in allocation to SNOW suggest the Qraft model is identifying sustained positive signals, integrating Snowflake's price appreciation into its AI-powered core large-cap selection process despite its position near the top of its 52-week range.

weight 0.190% → 0.270% (+0.080 pp)·stock up 81.0% in the 30 days before

May 29·entry $255.55·now $274.34Drifting

LQAI · Weight increase · 2d

The Qraft AI engine, which drives LG-Qraft's LQAI ETF, consistently increased its allocation to Snowflake (SNOW) across its weekly rebalances, moving the weight from 0.11% to 0.19% between May 7th and May 18th. This gradual accumulation within a portfolio of approximately 100 US large caps suggests the AI's ranking algorithm is identifying a sustained positive trend for SNOW. The model likely registered the company’s recent 30-day return of +10.1%, signaling a recovery from its prior deeper decline. The AI’s core large-cap methodology, designed to select names without heavy factor tilt, appears to have valued SNOW's recent price action as a compelling signal for increased weighting.

weight 0.170% → 0.190% (+0.020 pp)·stock up 14.1% in the 30 days before

May 18·entry $164.24·now $274.34Chased