HIBS_OUT_1 [2025-04-04 06:57:55 -0400] 2084 Bytes | 594 tokens | Cum: 594 tkns (7.42% of 8k)
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We're scouting for winners today. Its 6:57:54 AM on Fri Apr 04, 2025 -0400 and I'm looking at Direxion Daily S&P (HIBS) up to 34.57 from 29.95

Help me investigate to see if its got potential or just another dud. So, I pulled together a bunch of data for you to look over real fast.

--- COMPANY PROFILE ---
Company: Direxion Daily S&P (HIBS)
IPO: 2019-11-07 (5 Years Ago)
Shares Outstanding: 1,280,000
Exchange: ARCX

Here’s the first list of news for Direxion Daily S&P:

C1 - Apr-03-25 12:14PM - From Liberation Day To Capitulation Day
C2 - Apr-02-25 06:27PM - S&P 500: Indicators Signal Rising Recession Risk
C3 - Mar-24-25 10:41AM - Here's What Could Happen On April 2nd
C4 - Oct-24-22 03:30PM - Risky ETFs Drawing Investors Amid Elusive Profits
C5 - Nov-26-19 05:35PM - Leveraged, Inverse ETFs Help Investors Access Tactical Tool Sets

Prior AI Reports for HIBS:
1. 2025-04-03 – Score: 92 – Target: 43.8200 – Highs: 29.9500 / – / –
strong-performance-metrics-suggest-bullish-outlook-for-undisclosed-company

(Note: Highs = Same day / 2nd day / 3rd day)

GUIDELINES FOR AI:
==============

1) You are the **AI analyst-investigator**. I am **ScanScor**, a unified document retrieval and reporting system.
Your role is to examine all available company data and draw sound conclusions.

2) To request additional information, refer to any listed documents using their reference codes.
The company under analysis is: Direxion Daily S&P (HIBS).

3) As the analysis proceeds, continue reviewing documents until you feel confident in your judgment.
When ready, you will:
- Write a brief summary
- Generate a headline
- Assign a MARKET_SCORE[XX]
- Set a PRICE_TARGET[XX]

4) For now, restrict your response to just **three tokens**.
To request a document, reply with its reference code(s), such as:
- `C1`, `C2`, `C3`, etc.
- To load more documents, reply with: `NEX`

News articles, SEC filings, and key metrics will be revealed in subsequent prompts.
Stay focused. Gather evidence. Continue until your conclusions are clear.

HIBS_OUT_3 [2025-04-04 06:57:57 -0400] 654 Bytes | 196 tokens | Cum: 793 tkns (9.91% of 8k)
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Showing C1 (chunk 1 of 1): C1:
**From Liberation Day To Capitulation Day**
Date: Apr-03-25 12:14PM
Source: (Seeking Alpha)
URL: https://seekingalpha.com/article/4772818-from-liberation-day-to-capitulation-day?utm_source=finviz.com&utm_medium=referral&feed_item_type=article

Error fetching article: 403 Client Error: Forbidden for url: https://seekingalpha.com/article/4772818-from-liberation-day-to-capitulation-day?utm_source=finviz.com&utm_medium=referral&feed_item_type=article

--> You can ask for 1) More of this item with: MOR, 2) the NEXt section with: NEX, or 3) a different item by it's handle (ex. C3, S2) (only 3 chars don't summarize yet)

HIBS_OUT_5 [2025-04-04 06:57:58 -0400] 703 Bytes | 226 tokens | Cum: 1055 tkns (13.19% of 8k)
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We present this news so you can catch the big movers from recently breaking news.
Here's a list of news articles you can literally read just by asking.
Usually the first item is the most important.

A1 - 2025-04-02T18:40:57Z - Top Performing Leveraged/Inverse ETFs: 03/30/2025...
A2 - 2025-04-02T18:26:14Z - Top Performing Leveraged/Inverse ETFs: 03/30/2025...
A3 - 2025-03-12T19:28:02Z - Top Performing Leveraged/Inverse ETFs: 03/09/2025...
A4 - 2025-03-12T19:10:15Z - Top Performing Leveraged/Inverse ETFs: 03/09/2025...

Request an article by its reference number. (Ex., "A1" gets the first item)
You may also say NEX to go to the next listing.
Response to this prompt limited to 3 chars.

HIBS_OUT_7 [2025-04-04 06:58:05 -0400] 1098 Bytes | 306 tokens | Cum: 1363 tkns (17.04% of 8k)
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Showing A1 (chunk 1 of 4): A1:
**Top Performing Leveraged/Inverse ETFs: 03/30/2025**Date: 2025-04-02Source: {'uri': 'etfdb.com', 'dataType': 'news', 'title': 'ETF Database'}URL: https://etfdb.com/leveraged-inverse-channel/top-performing-leveraged-2025-03-30/The SOXS ETF, which inversely tracks the PHLX Semiconductor Index, topped the list of levered/ inverse ETFs with ~16.5% returns in the last week. Concerns about tariffs triggering a global trade war, hindering growth, and potentially causing a recession were the main reasons behind the fall. The semiconductor segment lost over 9%, and IT was the worst-performing sector in the last five days.

2. SSG - Proshares Ultrashort Semiconductors

SSG ETF, which offers 2x daily short leverage to the Dow Jones U.S. Semiconductors Index, was another top performing inverse ETF, gaining by more than 14% last week. The semiconductor segment registered a fall of more than 9% i

--> You can ask for 1) More of this item with: MOR, 2) the NEXt section with: NEX, or 3) a different item by it's handle (ex. C3, S2) (only 3 chars don't summarize yet)

HIBS_OUT_9 [2025-04-04 06:58:09 -0400] 1100 Bytes | 295 tokens | Cum: 1829 tkns (22.86% of 8k)
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Showing A1 (chunk 2 of 4): n the last five days amid tariff and recessionary concerns.

3. UVIX - 2x Long VIX Futures ETF

UVIX, which offers daily 2x leveraged exposure to short-term VIX futures, topped the list of leveraged ETFs driven by heightened market volatility following Trump's administration policies, the health of the U.S. economy, and recessionary fears. VIX, the CBOE Volatility Index, has increased to ~22 from ~17.6 in the prior week.

4. FNGD - MicroSectors FANG+™ Index -3X Inverse Leveraged ETN

The FNGD ETF, which provides inverse exposure to US big tech equity, was on the list of top inverse ETFs as the technology sector lost ~5% and was the worst-performing sector in the last five days, led by tariff concerns as many tech companies depend on imported components and overseas manufacturing.

5. HIBS - Direxion Daily S&P 500 High Beta Bear 3X Shares

HIBS, which provides inverse exposure to the U.S.

--> You can ask for 1) More of this item with: MOR, 2) the NEXt section with: NEX, or 3) a different item by it's handle (ex. C3, S2) (only 3 chars don't summarize yet)

HIBS_OUT_11 [2025-04-04 06:58:10 -0400] 729 Bytes | 262 tokens | Cum: 2180 tkns (27.25% of 8k)
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This is our final list of news.
News AI can literally read just by asking.
Don't miss the breaking news!

B1 - 2024-04-23T12:00:00Z - 5 Best Inverse-Leveraged ETFs of Last Week
B2 - 2024-02-29T06:58:00Z - The Red Flag Looming Over Markets
B3 - 2024-02-27T16:45:00Z - This Is Nuts - An Entire Market Chasing One Stock
B4 - 2024-01-21T11:15:00Z - Exit The Magnificent 7, Enter The Troubling 3 Nvidia, Meta, And Microsoft
B5 - 2024-01-16T15:00:00Z - 5 Leveraged, Inverse ETFs Winning at the Start of 2024
B6 - 2024-01-04T16:00:00Z - Inverse ETFs Soar at the Start of 2024

Request an article by its reference number. (Ex., "B1" gets the first item)
You can say NEX to go to the next listing.
Response limited to 3 chars.

HIBS_OUT_13 [2025-04-04 06:58:12 -0400] 457 Bytes | 138 tokens | Cum: 2320 tkns (29.00% of 8k)
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Showing B3 (chunk 1 of 1): B3:
**This Is Nuts - An Entire Market Chasing One Stock**Date: Unknown DateSource: Unknown SourceURL: https://seekingalpha.com/article/4673807-entire-market-chasing-one-stockNumerous companies in the S&P 1500 alone are trading well above 10x price-to-sales.

--> You can ask for 1) More of this item with: MOR, 2) the NEXt section with: NEX, or 3) a different item by it's handle (ex. C3, S2) (only 3 chars don't summarize yet)

HIBS_OUT_15 [2025-04-04 06:58:13 -0400] 238 Bytes | 59 tokens | Cum: 2431 tkns (30.39% of 8k)
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This is our list of SEC filings.
If empty, the search returned no recent filings.

Request filing by its reference number. (Ex., "S1" gets the first item)
You can say NEX to go to the next listing.
Response limited to 3 chars.

HIBS_OUT_17 [2025-04-04 06:58:25 -0400] 2962 Bytes | 706 tokens | Cum: 3140 tkns (39.25% of 8k)
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This is our set of metrics.
Please analyze the numbers.

+---------------------+----------------+--------------------------------+-------------------------+
| Volume: 739,917 | ATR (14): 2.23 | Perf Week: 30.39% | Market Cap: |
+---------------------+----------------+--------------------------------+-------------------------+
| Avg Volume: 287.79K | SMA20: 26.50% | Perf Month: 41.14% | Shs Outstand: |
+---------------------+----------------+--------------------------------+-------------------------+
| Rel Volume: 2.64 | SMA50: 48.59% | Perf Quarter: 57.38% | Option/Short: Yes / Yes |
+---------------------+----------------+--------------------------------+-------------------------+
| RSI (14): 69.50 | SMA200: 45.61% | Index: S&P 500 High Beta Index | Beta: -3.98 |
+---------------------+----------------+--------------------------------+-------------------------+

The next section covers any insider trading if any are accessible.

[Company Financial Summary]
[Company Details]
Name: N/A
Market Cap: N/A
Shares Outstanding: N/A
Sector: N/A

[Financial Statements - Latest Quarter]
Total Assets: N/A
Total Liabilities: N/A
Total Equity: N/A
Revenue (Quarter): N/A
Net Income: N/A
Earnings Per Share (EPS): N/A

[Price Metrics - Last 30 Days]
Latest Close: 29.95
Average Volume: 256728.95
30-Day High: 29.95
30-Day Low: 20.45
No detailed financial data available.
==== END OF FINANCIAL REPORT ====

You are now requested to make a summary analysis.
Do not say you lacked information. Save that for the final survey.

Now complete this report with the following:

1) Brief Summary: Explain your findings in one well-worded paragraph.

2) MARKET_SCORE: Estimate a number between 1 and 100 to represent the likelihood of an upward price move over the next day, week, or longer. Use the format: MARKET_SCORE[XX]
Weigh all relevant data —- news, SEC filings, fundamentals, and metrics —- and assign each element appropriate weight to calculate a general MARKET_SCORE[XX].
This score should be grounded in objective reasoning and guided by your analytical judgment.
XX must be a whole number between 1 and 100.

3) PRICE_TARGET: The current price of {ticker} is {current_price}.
If you believe it’s likely to rise, calculate a reasonable new price target.
For example, if you expect a 50% increase, say: PRICE_TARGET[{increased_price}]
You are encouraged to reference prior price performance when making this estimate.

4) AI_RPT_HEADLINE: Provide a thought-provoking headline (8–12 words) summarizing the situation.
Examples:
- AI_RPT_HEADLINE[{co_name} makes news with FDA approval fueling high investor optimism]
- AI_RPT_HEADLINE[Declining sales plague {ticker}, worsening an already negative outlook]

Return only:
1) Brief Summary
2) MARKET_SCORE[]
3) PRICE_TARGET[]
4) AI_RPT_HEADLINE[]

HIBS_OUT_19 [2025-04-04 06:58:29 -0400] 687 Bytes | 169 tokens | Cum: 3580 tkns (44.75% of 8k)
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Finally, if more data could have improved your confidence which would you have chosen? **Choose one option:**
-> X0 <- Nothing more would have helped my analysis
-> X1 <- More news listings
-> X2 <- More SEC filing extractions (10-K, 10-Q, 8-K) Financials, risk disclosures, and business changes
-> X3 <- More SEC Insider trading extractions (Form 3, 4, 5) Direct buys/sells from executives and institutions
-> X4 <- Broader sector & market news
-> X5 <- Your past analysis on similar companies (specify metrics)
-> X6 <- More financial metrics
-> X7 <- Your past analysis on this company
-> X8 <- Something altogether different (explain...)

HIBS_IN_21 [2025-04-04 06:58:29 -0400] 126 Bytes | 29 tokens | Cum: 3697 tkns (46.21% of 8k)
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====================================
[2025-04-04 06:58:29] # Analysis Completed
Elapsed Time: 34.93 seconds