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Name

As of 05/29/2024

Price

Aum/Mkt Cap

YIELD

Annualized forward dividend yield. Multiplies the most recent dividend payout amount by its frequency and divides by the previous close price.

Exp Ratio

Expense ratio is the fund’s total annual operating expenses, including management fees, distribution fees, and other expenses, expressed as a percentage of average net assets.

Watchlist

BTD Capital Fund

DIP | Active ETF

$29.83

$1.09 M

0.00%

0.77%

Vitals

YTD Return

15.6%

1 yr return

29.3%

3 Yr Avg Return

N/A

5 Yr Avg Return

N/A

Net Assets

$1.09 M

Holdings in Top 10

43.7%

52 WEEK LOW AND HIGH

$29.8
$22.82
$30.00

Expenses

OPERATING FEES

Expense Ratio 0.77%

SALES FEES

Front Load N/A

Deferred Load N/A

TRADING FEES

Turnover N/A

Redemption Fee N/A

Min Investment

Standard (Taxable)

N/A

IRA

N/A

Fund Classification

Fund Type

Exchange Traded Fund

Name

As of 05/29/2024

Price

Aum/Mkt Cap

YIELD

Annualized forward dividend yield. Multiplies the most recent dividend payout amount by its frequency and divides by the previous close price.

Exp Ratio

Expense ratio is the fund’s total annual operating expenses, including management fees, distribution fees, and other expenses, expressed as a percentage of average net assets.

Watchlist

BTD Capital Fund

DIP | Active ETF

$29.83

$1.09 M

0.00%

0.77%

DIP - Profile

Distributions

  • YTD Total Return 15.6%
  • 3 Yr Annualized Total Return N/A
  • 5 Yr Annualized Total Return N/A
  • Capital Gain Distribution Frequency Annually
  • Net Income Ratio N/A
DIVIDENDS
  • Dividend Yield 0.0%
  • Dividend Distribution Frequency Monthly

Fund Details

  • Legal Name
    BTD Capital Fund
  • Fund Family Name
    Dipetf
  • Inception Date
    Dec 12, 2022
  • Shares Outstanding
    N/A
  • Share Class
    N/A
  • Currency
    USD
  • Domiciled Country
    US

Fund Description

The Fund is an actively managed exchange-traded fund (“ETF”) and seeks to achieve its investment objective by investing primarily in individual U.S. equity securities (generally consisting of common stocks and real estate investment trusts (“REITs”)) included in the S&P 500 that Kaiju ETF Advisors (“Kaiju” or the “Sub-Adviser”), utilizing a proprietary artificial intelligence (“AI”)driven algorithm (the “Kaiju Algorithm”), has identified as oversold in the market. The Sub-Adviser uses the Kaiju Algorithm to (i) select “oversold” securities for the Fund, (ii) identify market conditions that inform the Sub-Adviser’s buying and selling of securities, and (iii) employ risk management techniques to protect against major market corrections.
The term “oversold” describes a condition where a security is trading at a price below its perceived fair market value, as determined by the Sub-Adviser, as a result of various external factors, including high-frequency trading, liquidity voids (i.e., sudden changes in price without enough liquidity between the original price level and the final price level), and market panic. The oversold securities represent short-term buying opportunities, or individual security pricing “dips.” The Fund will “buy the dip” with respect to individual oversold securities based on the Kaiju Algorithm’s analysis of technical indicators, including a company’s past price movements, trading volumes, liquidity levels, and investor sentiments. The Kaiju Algorithm takes a Stratified Risk Distribution® approach to distribute the potential candidates for inclusion in the Fund across sectors and industries to eliminate sector over-weighting within the Fund. However, the Fund may invest a significant portion of its assets in a given sector from time-to-time.
The Fund may invest in the securities of companies of any market capitalization, but primarily invests in large capitalization companies (i.e., an issuer whose market capitalization at the time of purchase is $10 billion or above). In addition to individual equity
securities, the Fund may invest in U.S. equity ETFs. In the event that the Kaiju Algorithm does not identify any oversold securities, the Fund may exclusively hold such ETFs, as well as cash and cash equivalents.
Individual equity securities are typically held for a period of time ranging from one day to seven days, but may be held longer depending on the model’s signals. The Sub-Adviser generally instructs that a security be sold when the security achieves the Kaiju Algorithm’s estimate of fair value, and/or the Kaiju Algorithm identifies that a return to the security’s fair value price is probable. The Fund frequently and actively purchases and sells securities.
The number of positions held by the Fund varies at any given time; each position’s weighting is determined by the Kaiju Algorithm.
To manage portfolio risk and to protect against major market corrections, the Sub-Adviser employs an AI-driven regime classification engine and an AI-driven regime change detection engine. The regime classification engine attempts to correctly identify the current regime of each security held by the Fund; the engine is designed to identify how current market conditions can be classified (e.g., bull market, bear market, neutral market, or “unknown”). The regime change detection engine attempts to determine whether the regime identified by the regime classification engine is likely to persist, or if not, change in which direction; the engine is designed to identify if a change in classification is imminent.
A bull market is typically characterized by a period of material increase in the overall U.S. stock market, and a bear market is typically characterized by a period of material decrease in the overall U.S. stock market. Market conditions are considered neutral when neither bear nor bull market conditions exist. When market conditions cannot be classified, the regime classification engine labels the market conditions as “unknown” (i.e., when a combination of factors have never appeared in the last 20 years, such as the COVID-19 pandemic).
Together, the two engines act as an early warning system to identify whether a security is more or less likely to weather large market corrections as compared to that security’s peers. When the engines identify a high probability of a major market correction, the Kaiju Algorithm employs various risk management techniques, including holding individual securities for reduced periods of time, allocating more of the Fund’s portfolio to U.S. equity ETFs, or by holding cash and cash equivalents.
Read More

DIP - Performance

Return Ranking - Trailing

Period DIP Return Category Return Low Category Return High Rank in Category (%)
YTD 15.6% -6.4% 29.7% 0.90%
1 Yr 29.3% -2.0% 48.5% 4.58%
3 Yr N/A* -5.2% 30.4% 93.44%
5 Yr N/A* 0.4% 44.8% 59.95%
10 Yr N/A* 1.0% 24.4% 68.76%

* Annualized

Return Ranking - Calendar

Period DIP Return Category Return Low Category Return High Rank in Category (%)
2023 6.8% -16.9% 46.1% 41.86%
2022 N/A -64.7% 4.6% N/A
2021 N/A -44.2% 57.5% N/A
2020 N/A -23.2% 285.0% N/A
2019 N/A -21.4% 48.5% N/A

Total Return Ranking - Trailing

Period DIP Return Category Return Low Category Return High Rank in Category (%)
YTD 15.6% -6.4% 29.7% 0.90%
1 Yr 29.3% -2.0% 48.5% 4.58%
3 Yr N/A* -5.2% 30.4% N/A
5 Yr N/A* 0.4% 44.8% N/A
10 Yr N/A* 1.0% 24.4% N/A

* Annualized

Total Return Ranking - Calendar

Period DIP Return Category Return Low Category Return High Rank in Category (%)
2023 7.4% -15.9% 46.7% 77.91%
2022 N/A -42.0% 8.5% N/A
2021 N/A 3.6% 129.7% N/A
2020 N/A -22.6% 304.8% N/A
2019 N/A -12.7% 52.1% N/A

DIP - Holdings

Concentration Analysis

DIP Category Low Category High DIP % Rank
Net Assets 1.09 M 0 163 B 99.91%
Number of Holdings 26 2 1683 97.59%
Net Assets in Top 10 475 K 420 K 33.9 B 99.91%
Weighting of Top 10 43.70% 4.8% 98.8% 8.67%

Top 10 Holdings

  1. Universal Health Services Inc 4.52%
  2. Newmont Corp 4.48%
  3. Crown Castle Inc 4.45%
  4. Viatris Inc 4.39%
  5. GLOBALFOUNDRIES Inc 4.34%
  6. Alliant Energy Corp 4.33%
  7. Starbucks Corp 4.32%
  8. UnitedHealth Group Inc 4.32%
  9. FirstEnergy Corp 4.31%
  10. MongoDB Inc 4.24%

Asset Allocation

Weighting Return Low Return High DIP % Rank
Stocks 		96.17% 1.86% 108.67% 82.25%
Cash 		3.83% 0.00% 38.18% 17.31%
Preferred Stocks 		0.00% 0.00% 14.68% 20.43%
Other 		0.00% -1.68% 39.72% 42.19%
Convertible Bonds 		0.00% 0.00% 3.66% N/A
Bonds 		0.00% -1.92% 73.23% 20.07%

Stock Sector Breakdown

Weighting Return Low Return High DIP % Rank
Utilities 		0.00% 0.00% 27.04% N/A
Technology 		0.00% 0.00% 54.02% N/A
Real Estate 		0.00% 0.00% 90.54% N/A
Industrials 		0.00% 0.00% 42.76% N/A
Healthcare 		0.00% 0.00% 30.08% N/A
Financial Services 		0.00% 0.00% 58.05% N/A
Energy 		0.00% 0.00% 54.00% N/A
Communication Services 		0.00% 0.00% 26.58% N/A
Consumer Defense 		0.00% 0.00% 34.10% N/A
Consumer Cyclical 		0.00% 0.00% 22.74% N/A
Basic Materials 		0.00% 0.00% 21.69% N/A

Stock Geographic Breakdown

Weighting Return Low Return High DIP % Rank
US 		96.17% 1.86% 108.67% 62.98%
Non US 		0.00% 0.00% 26.07% 40.86%

DIP - Expenses

Operational Fees

DIP Fees (% of AUM) Category Return Low Category Return High Rank in Category (%)
Expense Ratio 0.77% 0.03% 14.82% 64.01%
Management Fee 0.75% 0.00% 1.50% 81.57%
12b-1 Fee N/A 0.00% 1.00% N/A
Administrative Fee N/A 0.00% 0.50% N/A

Sales Fees

DIP Fees (% of AUM) Category Return Low Category Return High Rank in Category (%)
Front Load N/A 1.00% 5.75% N/A
Deferred Load N/A 0.95% 5.00% N/A

Trading Fees

DIP Fees (% of AUM) Category Return Low Category Return High Rank in Category (%)
Max Redemption Fee N/A 1.00% 2.00% N/A

Related Fees

Turnover provides investors a proxy for the trading fees incurred by mutual fund managers who frequently adjust position allocations. Higher turnover means higher trading fees.

DIP Fees (% of AUM) Category Return Low Category Return High Rank in Category (%)
Turnover N/A 0.00% 488.00% N/A

DIP - Distributions

Dividend Yield Analysis

DIP Category Low Category High DIP % Rank
Dividend Yield 0.00% 0.00% 36.05% 0.09%

Dividend Distribution Analysis

DIP Category Low Category High Category Mod
Dividend Distribution Frequency Monthly Annual Quarterly Annual

Net Income Ratio Analysis

DIP Category Low Category High DIP % Rank
Net Income Ratio N/A -1.51% 4.28% N/A

Capital Gain Distribution Analysis

DIP Category Low Category High Capital Mode
Capital Gain Distribution Frequency Annually Annually Annually Annually

Distributions History

View More +

DIP - Fund Manager Analysis

Tenure Analysis

Category Low Category High Category Average Category Mode
0.05 86.59 8.01 16.42

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