WTID_OUT_1 [2025-04-04 10:10:14 -0400] 1835 Bytes | 493 tokens | Cum: 493 tkns (6.16% of 8k)
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We need a winner today and it's already 10:10:14 AM on Fri Apr 04, 2025 -0400 ... So let's find out if MicroSectors Energy -3x (WTID) is going up or if it's going nowhere fast. So, I pulled together a bunch of data for you to look over real fast. It's at 22.71 up from 19.128. Is there something here we can get excited about? Help me analyze.

--- COMPANY PROFILE ---
Company: MicroSectors Energy -3x (WTID)
IPO: 2023-02-15 (2 Years Ago)
Shares Outstanding: 160,000
Industry: COMMERCIAL BANKS, NEC
Exchange: ARCX

Here’s the first list of news for MicroSectors Energy -3x:

No news available.

Prior AI Reports for WTID:
1. 2025-04-03 – Score: 70 – Target: 20.0200 – Highs: 19.1800 / – / –
despite-short-term-struggles-company-shows-promising-upward-trend

(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: MicroSectors Energy -3x (WTID).

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.

WTID_OUT_3 [2025-04-04 10:10:15 -0400] 541 Bytes | 156 tokens | Cum: 651 tkns (8.14% 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 - 2025-03-12T19:28:02Z - Top Performing Leveraged/Inverse ETFs: 03/09/2025...
A2 - 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.

WTID_OUT_5 [2025-04-04 10:10:22 -0400] 1098 Bytes | 297 tokens | Cum: 950 tkns (11.88% of 8k)
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Showing A1 (chunk 1 of 5): A1:
**Top Performing Leveraged/Inverse ETFs: 03/09/2025**Date: 2025-03-12Source: {'uri': 'etfdb.com', 'dataType': 'news', 'title': 'ETF Database'}URL: https://etfdb.com/leveraged-inverse-channel/top-performing-leveraged-2025-03-09/UVIX, which offers daily 2x leveraged exposure to short-term VIX futures, topped the list of leveraged ETFs driven by worries of heightened market volatility following Trump's turbulent implementation of trade protectionist policies. VIX, the CBOE Volatility index, has increased to ~26.9 from ~22.8 in the prior week.

2. UVXY - ProShares Ultra VIX Short-Term Futures ETF

UVXY, which offers leveraged exposure to an index of short-term VIX futures contracts, was another volatility-focused fund on the top-performing levered ETFs last week as volatility increased amid fears of an economic downturn triggered a stock market sell-off, exacerbated by a series of new po

--> 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)

WTID_OUT_7 [2025-04-04 10:10:23 -0400] 924 Bytes | 291 tokens | Cum: 1405 tkns (17.56% 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 - 2025-02-20T14:00:00Z - Financial 15 Split Corp. Monthly Dividend Declaration for Class A & Preferred Share
B2 - 2025-02-20T14:00:00Z - North American Financial 15 Split Corp. Monthly Dividend Declaration for Class A & Preferred Share
B3 - 2025-02-20T14:00:00Z - CANADIAN BANC CORP. Monthly Dividend Declaration for Class A & Preferred Share
B4 - 2025-02-20T13:30:00Z - BMO Announces Cash Distributions for Certain BMO ETFs and ETF Series of BMO Mutual Funds for February 2025
B5 - 2025-01-23T14:45:00Z - 3 Unstoppable Dividend Stocks That Can Be Pillars to Build Your Portfolio Around
B6 - 2025-01-06T06:50:00Z - Could the S&P 500 Target 7000+ in 2025?

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.

WTID_OUT_9 [2025-04-04 10:10:25 -0400] 685 Bytes | 202 tokens | Cum: 1609 tkns (20.11% of 8k)
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Showing B4 (chunk 1 of 1): B4:
**BMO Announces Cash Distributions for Certain BMO ETFs and ETF Series of BMO Mutual Funds for February 2025**Date: Unknown DateSource: Unknown SourceURL: https://www.benzinga.com/pressreleases/25/02/n43846973/bmo-announces-cash-distributions-for-certain-bmo-etfs-and-etf-series-of-bmo-mutual-funds-for-februBMO Asset Management Inc. and BMO Investments Inc. announced the February 2025 cash distributions for unitholders of BMO ETFs and exchange-traded series of BMO Mutual Funds.

--> 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)

WTID_OUT_11 [2025-04-04 10:10:26 -0400] 238 Bytes | 59 tokens | Cum: 1710 tkns (21.38% 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.

WTID_OUT_13 [2025-04-04 10:10:42 -0400] 3034 Bytes | 710 tokens | Cum: 2423 tkns (30.29% of 8k)
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This is our set of metrics.
Please analyze the numbers.

+-------------------+----------------+--------------------------------------------+-----------------------+
| Volume: 106 | ATR (14): 1.00 | Perf Week: 44.88% | Market Cap: |
+-------------------+----------------+--------------------------------------------+-----------------------+
| Avg Volume: 3.36K | SMA20: 34.33% | Perf Month: 11.05% | Shs Outstand: |
+-------------------+----------------+--------------------------------------------+-----------------------+
| Rel Volume: 0.29 | SMA50: 29.46% | Perf Quarter: 13.76% | Option/Short: No / No |
+-------------------+----------------+--------------------------------------------+-----------------------+
| RSI (14): 72.34 | SMA200: 29.40% | Index: Solactive MicroSectors Energy Index | Beta: -1.10 |
+-------------------+----------------+--------------------------------------------+-----------------------+

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: 23.02
Average Volume: 2335.17
30-Day High: 23.02
30-Day Low: 15.0531
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[]

WTID_OUT_15 [2025-04-04 10:10:44 -0400] 687 Bytes | 169 tokens | Cum: 2879 tkns (35.99% 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...)

WTID_IN_17 [2025-04-04 10:10:45 -0400] 126 Bytes | 29 tokens | Cum: 2938 tkns (36.73% of 8k)
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====================================
[2025-04-04 10:10:45] # Analysis Completed
Elapsed Time: 31.02 seconds