AI Financial (AIFC)
Market Price (8/7/2026): $0.4061 | Market Cap: $51.5 MilSector: Information Technology | Industry: Systems Software
AI Financial (AIFC)
Market Price (8/7/2026): $0.4061Market Cap: $51.5 MilSector: Information TechnologyIndustry: Systems Software
Investment Highlights Why It Matters Detailed financial logic regarding cash flow yields vs trend-riding momentum.
Strong revenue growthRev Chg LTMRevenue Change % Last Twelve Months (LTM) is 44% Megatrend and thematic driversMegatrends include AI in Financial Services. Themes include AI for Fraud Detection, Algorithmic Trading, and Robo-Advisors. | Weak multi-year price returns2Y Excs Rtn is -87%, 3Y Excs Rtn is -114% Meaningful short interestShort Interest Days-to-CoverDTC = (Short Interest Share Quantity) / (Average Daily Trading Volume). Reflects how many days it would take to cover (close out) the short interest based on average volumes. High DTC can signify an increased risk of a short squeeze. is 13.93, Short Interest % of Basic SharesShort Interest % of Basic Shares = (Short Interest Quantity) / (Basic Shares Outstanding). A high fraction of short interest can indicate potential risk of a short squeeze. is 10% | Penny stockMkt Price is 0.4 Not profitable at operating income levelOp Inc LTMOperating Income, Last Twelve Months is -24 Mil, Op Mgn LTMOperating Margin = Operating Income / Revenue Reflects profitability before taxes and before impact of capital structure (interest payments). is -100% Weak revenue growthRev Chg QQuarterly Revenue Change % is -2.8% Significant share based compensationSBC/Rev LTMShare Based Compensation / Revenue (Sales), Last Twelve Months (LTM) is 25% Not cash flow generativeCFO/Rev LTMCash Flow from Operations / Revenue (Sales), Last Twelve Months (LTM) is -75%, FCF/Rev LTMFree Cash Flow / Revenue (Sales), Last Twelve Months (LTM) is -83% Yield minus risk free rate is negativeERPEquity Risk Premium (ERP) = Total Yield - Risk Free Rate, Reflects the premium above risk free assets offered by the investment. is -1184% Key risksAIFC key risks include [1] clinical trial or regulatory approval failure for its lead product candidate, Show more. |
| Strong revenue growthRev Chg LTMRevenue Change % Last Twelve Months (LTM) is 44% |
| Megatrend and thematic driversMegatrends include AI in Financial Services. Themes include AI for Fraud Detection, Algorithmic Trading, and Robo-Advisors. |
| Weak multi-year price returns2Y Excs Rtn is -87%, 3Y Excs Rtn is -114% |
| Meaningful short interestShort Interest Days-to-CoverDTC = (Short Interest Share Quantity) / (Average Daily Trading Volume). Reflects how many days it would take to cover (close out) the short interest based on average volumes. High DTC can signify an increased risk of a short squeeze. is 13.93, Short Interest % of Basic SharesShort Interest % of Basic Shares = (Short Interest Quantity) / (Basic Shares Outstanding). A high fraction of short interest can indicate potential risk of a short squeeze. is 10% |
| Penny stockMkt Price is 0.4 |
| Not profitable at operating income levelOp Inc LTMOperating Income, Last Twelve Months is -24 Mil, Op Mgn LTMOperating Margin = Operating Income / Revenue Reflects profitability before taxes and before impact of capital structure (interest payments). is -100% |
| Weak revenue growthRev Chg QQuarterly Revenue Change % is -2.8% |
| Significant share based compensationSBC/Rev LTMShare Based Compensation / Revenue (Sales), Last Twelve Months (LTM) is 25% |
| Not cash flow generativeCFO/Rev LTMCash Flow from Operations / Revenue (Sales), Last Twelve Months (LTM) is -75%, FCF/Rev LTMFree Cash Flow / Revenue (Sales), Last Twelve Months (LTM) is -83% |
| Yield minus risk free rate is negativeERPEquity Risk Premium (ERP) = Total Yield - Risk Free Rate, Reflects the premium above risk free assets offered by the investment. is -1184% |
| Key risksAIFC key risks include [1] clinical trial or regulatory approval failure for its lead product candidate, Show more. |
Qualitative Assessment
AI Analysis | Feedback
AI Financial (AIFC) stock has lost about 45% since 4/30/2026 because of the following key factors:
1. AI Financial reported a substantial net loss in fiscal Q1 2026, primarily driven by significant unrealized losses on digital assets.
For its fiscal Q1 2026, which ended March 28, 2026, AI Financial announced a net loss from continuing operations of $271.3 million, a considerable increase from a $1.9 million loss in the prior year's comparable quarter. This loss was largely attributed to an unrealized loss of $348.3 million on WLFI tokens. The company's reported earnings per share for Q1 2026 were -$2.14.
2. The company exhibits weak financial health and profitability, raising concerns among analysts and investors.
AI Financial received a low GF Score™ of 24 out of 100, indicating a low potential for long-term returns. Its financial strength was rated 4 out of 10, suggesting potential vulnerabilities, while its profitability rank was 2 out of 10, highlighting ongoing challenges in generating sustainable profits. Furthermore, the Tickeron SMR (Sales, Margin, Return on Equity) rating for AIFC is 99 out of 100 (where 100 is the worst), pointing to weak sales and an unprofitable business model.
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AI Financial (AIFC) stock has lost about 45% since 4/30/2026 because of the following key factors:
1. AI Financial reported a substantial net loss in fiscal Q1 2026, primarily driven by significant unrealized losses on digital assets.
For its fiscal Q1 2026, which ended March 28, 2026, AI Financial announced a net loss from continuing operations of $271.3 million, a considerable increase from a $1.9 million loss in the prior year's comparable quarter. This loss was largely attributed to an unrealized loss of $348.3 million on WLFI tokens. The company's reported earnings per share for Q1 2026 were -$2.14.
2. The company exhibits weak financial health and profitability, raising concerns among analysts and investors.
AI Financial received a low GF Score™ of 24 out of 100, indicating a low potential for long-term returns. Its financial strength was rated 4 out of 10, suggesting potential vulnerabilities, while its profitability rank was 2 out of 10, highlighting ongoing challenges in generating sustainable profits. Furthermore, the Tickeron SMR (Sales, Margin, Return on Equity) rating for AIFC is 99 out of 100 (where 100 is the worst), pointing to weak sales and an unprofitable business model.
3. Negative analyst sentiment and a "Sell" consensus rating reflect a cautious outlook on the stock.
As of July 31, 2026, Wall Street analysts have issued a consensus "Sell" rating for AI Financial based on ratings over the preceding 12 months. Technical indicators in July 2026, such as the Moving Average Convergence Divergence Histogram (MACD) and the Momentum Indicator, both turned negative, suggesting a likely continued downward trend for the stock.
4. Broader market jitters and a rotation away from certain AI infrastructure plays impacted sentiment in the sector.
Mid-July 2026 saw a decline in various AI-linked stocks, including those of AI infrastructure companies, amidst market jitters. Investors have reportedly rotated away from AI infrastructure firms where operating earnings growth is pressured and capital expenditures are debt-funded. As a fintech company focused on blockchain-powered payment and AI-based commerce solutions, AI Financial likely faced headwinds from this broader shift in investor sentiment within the AI sector.
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Stock Movement Drivers
Fundamental Drivers
The -45.9% change in AIFC stock from 4/30/2026 to 8/6/2026 was primarily driven by a -45.4% change in the company's P/S Multiple.| (LTM values as of) | 4302026 | 8062026 | Change |
|---|---|---|---|
| Stock Price ($) | 0.75 | 0.41 | -45.9% |
| Change Contribution By: | |||
| Total Revenues ($ Mil) | 24 | 24 | -0.6% |
| P/S Multiple | 3.9 | 2.1 | -45.4% |
| Shares Outstanding (Mil) | 126 | 127 | -0.3% |
| Cumulative Contribution | -45.9% |
Market Drivers
4/30/2026 to 8/6/2026| Return | Correlation | |
|---|---|---|
| AIFC | -45.9% | |
| Market (SPY) | 6.9% | 42.5% |
| Sector (XLK) | 16.2% | 35.6% |
Fundamental Drivers
nullnull
Market Drivers
1/31/2026 to 8/6/2026| Return | Correlation | |
|---|---|---|
| AIFC | ||
| Market (SPY) | 11.4% | 42.5% |
| Sector (XLK) | 29.0% | 35.6% |
Fundamental Drivers
nullnull
Market Drivers
7/31/2025 to 8/6/2026| Return | Correlation | |
|---|---|---|
| AIFC | ||
| Market (SPY) | 22.6% | 42.5% |
| Sector (XLK) | 41.6% | 35.6% |
Fundamental Drivers
nullnull
Market Drivers
7/31/2023 to 8/6/2026| Return | Correlation | |
|---|---|---|
| AIFC | ||
| Market (SPY) | 73.8% | 42.5% |
| Sector (XLK) | 111.7% | 35.6% |
Price Returns Compared
| 2021 | 2022 | 2023 | 2024 | 2025 | 2026 | Total [1] | |
|---|---|---|---|---|---|---|---|
| Returns | |||||||
| AIFC Return | - | - | - | - | - | -44% | -44% |
| Peers Return | -15% | -72% | 198% | 60% | 37% | 1% | 57% |
| S&P 500 Return | 27% | -19% | 24% | 23% | 16% | 13% | 106% |
Monthly Win Rates [3] | |||||||
| AIFC Win Rate | - | - | - | - | - | 40% | |
| Peers Win Rate | 44% | 33% | 60% | 50% | 58% | 50% | |
| S&P 500 Win Rate | 75% | 42% | 67% | 75% | 67% | 50% | |
Max Drawdowns [4] | |||||||
| AIFC Max Drawdown | - | - | - | - | - | - | |
| Peers Max Drawdown | -57% | -75% | -45% | -40% | -47% | -43% | |
| S&P 500 Max Drawdown | -5% | -25% | -10% | -8% | -19% | -9% | |
[1] Cumulative total returns since the beginning of 2021
[2] Peers: COIN, PYPL, HOOD, GLXY, RIOT.
[3] Win Rate = % of calendar months in which monthly returns were positive
[4] Max drawdown represents maximum peak-to-trough decline within a year
[5] 2026 data is for the year up to 8/6/2026 (YTD)
How Low Can It Go
AIFC has limited trading history. Below is the Information Technology sector ETF (XLK) in its place.
| Event | XLK | S&P 500 |
|---|---|---|
| 2025 US Tariff Shock | ||
| % Loss | -25.7% | -18.8% |
| % Gain to Breakeven | 34.5% | 23.1% |
| Time to Breakeven | 65 days | 79 days |
| 2024 Yen Carry Trade Unwind | ||
| % Loss | -17.0% | -7.8% |
| % Gain to Breakeven | 20.4% | 8.5% |
| Time to Breakeven | 92 days | 18 days |
| Summer-Fall 2023 Five Percent Yield Shock | ||
| % Loss | -10.0% | -9.5% |
| % Gain to Breakeven | 11.2% | 10.5% |
| Time to Breakeven | 15 days | 24 days |
| 2022 Inflation Shock & Fed Tightening | ||
| % Loss | -33.1% | -24.5% |
| % Gain to Breakeven | 49.5% | 32.4% |
| Time to Breakeven | 246 days | 427 days |
| 2020 COVID-19 Crash | ||
| % Loss | -31.2% | -33.7% |
| % Gain to Breakeven | 45.2% | 50.9% |
| Time to Breakeven | 78 days | 140 days |
| Q4 2018 Fed Policy Error / Growth Scare | ||
| % Loss | -23.8% | -19.2% |
| % Gain to Breakeven | 31.2% | 23.8% |
| Time to Breakeven | 100 days | 105 days |
In The Past
State Street Technology Select Sector SPDR ETF's stock fell -25.7% during the 2025 US Tariff Shock. Such a loss loss requires a 34.5% gain to breakeven.
Preserve Wealth
Limiting losses and compounding gains is essential to preserving wealth.
Asset Allocation
Actively managed asset allocation strategies protect wealth. Learn more.
AIFC has limited trading history. Below is the Information Technology sector ETF (XLK) in its place.
| Event | XLK | S&P 500 |
|---|---|---|
| 2025 US Tariff Shock | ||
| % Loss | -25.7% | -18.8% |
| % Gain to Breakeven | 34.5% | 23.1% |
| Time to Breakeven | 65 days | 79 days |
| 2022 Inflation Shock & Fed Tightening | ||
| % Loss | -33.1% | -24.5% |
| % Gain to Breakeven | 49.5% | 32.4% |
| Time to Breakeven | 246 days | 427 days |
| 2020 COVID-19 Crash | ||
| % Loss | -31.2% | -33.7% |
| % Gain to Breakeven | 45.2% | 50.9% |
| Time to Breakeven | 78 days | 140 days |
| Q4 2018 Fed Policy Error / Growth Scare | ||
| % Loss | -23.8% | -19.2% |
| % Gain to Breakeven | 31.2% | 23.8% |
| Time to Breakeven | 100 days | 105 days |
| 2008-2009 Global Financial Crisis | ||
| % Loss | -51.5% | -53.4% |
| % Gain to Breakeven | 106.2% | 114.4% |
| Time to Breakeven | 797 days | 1085 days |
In The Past
State Street Technology Select Sector SPDR ETF's stock fell -25.7% during the 2025 US Tariff Shock. Such a loss loss requires a 34.5% gain to breakeven.
Preserve Wealth
Limiting losses and compounding gains is essential to preserving wealth.
Asset Allocation
Actively managed asset allocation strategies protect wealth. Learn more.
About AI Financial (AIFC)
JanOne Inc. (AIFC) is a diversified public company operating across three distinct segments: biotechnology, recycling, and technology. At its core, it functions as a clinical-stage biopharmaceutical firm dedicated to identifying, acquiring, licensing, developing, and commercializing novel, non-opioid, and non-addictive therapies for the treatment of pain and addiction.
In its Biotechnology segment, the company's lead product candidate is JAN101. This is a patented oral and sustained-release pharmaceutical composition of sodium nitrite, designed to alleviate pain by targeting poor blood flow to the extremities in patients with conditions such as diabetes or peripheral artery disease. Beyond pharmaceuticals, JanOne also provides turnkey appliance recycling and replacement services for utilities and other sponsors of energy efficiency programs through its Recycling segment.
Furthermore, JanOne's Technology segment is involved in designing, developing, and selling cellular transceiver modules and associated wireless services. This multi-faceted approach enables the company to serve diverse markets, from the medical community and patients seeking innovative pain management solutions to utility companies focused on energy efficiency, and businesses requiring advanced wireless communication components.
AI Analysis | Feedback
Here are 1-3 brief analogies for the company:
- It's like a clinical-stage biotech company similar to an early Moderna, but with surprisingly diverse operations in appliance recycling and cellular technology.
- Think of it as a pharmaceutical firm aspiring to develop breakthrough pain treatments like Vertex Pharmaceuticals, yet also running a business akin to an appliance recycling service and a small cellular modem maker.
AI Analysis | Feedback
AI Analysis | Feedback
AI Financial (AIFC), which according to the provided background operates as JanOne Inc., serves a diverse customer base across its three segments: Biotechnology, Recycling, and Technology.
Given that two of its three segments (Recycling and Technology) primarily serve other businesses, and the Biotechnology segment also involves business-to-business partnerships for development and commercialization, the company primarily sells to other companies.
Its major customers fall into the following categories:
- Utilities: These companies engage AI Financial for turnkey appliance recycling and replacement services as part of their energy efficiency programs. The specific names of these utilities are not provided in the description.
- Sponsors of Energy Efficiency Programs: Alongside utilities, these organizations (which can include government entities, non-profits, or other corporations) contract AI Financial for its recycling and replacement services. Specific names are not provided.
- Technology Companies / Manufacturers: Customers for the cellular transceiver modules and associated wireless services provided by the Technology segment would typically be other companies involved in electronics manufacturing, IoT, or telecommunications. Specific names are not provided.
- Biotechnology and Pharmaceutical Companies: For the Biotechnology segment, AI Financial engages in identifying, acquiring, licensing, developing, partnering, and commercializing therapies. These activities imply business-to-business customers in the form of development partners, licensees, or distributors in the pharmaceutical and biotechnology industries. Specific names are not provided.
AI Analysis | Feedback
AI Analysis | Feedback
Tony Isaac
President, Chief Executive Officer
Tony Isaac was appointed CEO of AI Financial Corporation (formerly JanOne Inc. and ALT5 Sigma Corporation) in May 2015, holding the position for over 10 years. He has led the company through its evolution from a clinical-stage biopharmaceutical company (JanOne Inc.) to a fintech company providing blockchain-powered payment, trading, and settlement infrastructure (ALT5 Sigma Corporation), and now to AI Financial Corporation, which is focused on expanding into AI-driven financial infrastructure, payments, and tokenization.
Steven M. Plumb
Director of Finance/Chief Financial Officer
Steven M. Plumb was appointed Director of Finance/Chief Financial Officer of AI Financial Corporation on November 20, 2025.
Anthony Giordano
Chief Technology/Scientific/R&D Officer
Anthony Giordano has served as the Chief Technology/Scientific/R&D Officer since December 2, 2019.
William Inman
Corporate Officer/Principal
William Inman was appointed as a Corporate Officer/Principal on January 20, 2026.
Denis E. Grande
Secretary
Denis E. Grande holds the position of Secretary for AI Financial Corporation.
AI Analysis | Feedback
- Clinical Trial Failure and Regulatory Approval Risk for Lead Product Candidate. As a clinical-stage biopharmaceutical company, a primary risk is the potential failure of its lead product candidate, JAN101, in ongoing or future clinical trials. Even if trials are successful, there is a significant risk that JAN101 may not receive the necessary regulatory approvals (e.g., from the FDA) for commercialization. Such failures or delays could lead to substantial financial losses, hinder the company's ability to generate revenue from its biotechnology segment, and severely impact its overall valuation and future prospects.
- Market Acceptance and Commercialization Challenges. Should JAN101 successfully navigate the clinical and regulatory pathways, the company would then face the considerable challenge of achieving market acceptance and successful commercialization. The market for non-opioid pain treatments and therapies for conditions like peripheral artery disease is competitive. Risks include potential difficulties in gaining physician adoption, securing favorable reimbursement policies, competition from existing or new treatments, and the ability to effectively market and distribute the product.
- Execution Risk from Disparate Business Segments. The company operates across three distinct and seemingly unrelated segments: Biotechnology, Recycling, and Technology. This diversification presents significant execution risks, including challenges in strategic focus, efficient allocation of capital and management resources, and maintaining operational expertise across vastly different industries. The capital-intensive nature of pharmaceutical development may strain resources that could otherwise support the recycling and technology segments, potentially hindering overall company profitability and growth across its varied ventures.
AI Analysis | Feedback
AI Analysis | Feedback
AI Analysis | Feedback
Here are 3-5 expected drivers of future revenue growth for AI Financial (AIFC) over the next 2-3 years:
- Growth in blockchain-powered financial technologies and digital asset services: AI Financial Corporation's primary focus is on providing blockchain-powered payment, trading, and settlement infrastructure for digital assets. Future revenue growth is expected from increased adoption of its platforms, such as ALT 5 Prime for digital asset trading and ALT 5 Pay for crypto-currency payments, leading to higher transaction volumes and an expanded institutional and enterprise client base. The company's infrastructure has already processed over $8 billion in cumulative transaction volume since its inception.
- Expansion into AI-driven financial solutions and tokenization: The company has stated its strategic evolution towards "AI-driven infrastructure" and evaluating "opportunities at the intersection of payments, tokenization, and AI". This strategic direction suggests new product development, enhanced service offerings, and potential market entry into areas leveraging artificial intelligence and tokenization for more programmable and automated financial activities, thereby opening new revenue streams.
- Advancement and commercialization within the Biotechnology segment: AI Financial Corporation continues to operate a Biotechnology segment. While the company's recent strategic announcements highlight its fintech focus, ongoing development and potential commercialization of novel, non-opioid, and non-addictive therapies, like its lead product candidate JAN101 (which targets poor blood flow in patients with diabetes or peripheral artery disease to treat pain), could contribute to future revenue growth, building upon the company's historical foundation in biopharmaceuticals.
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Research & Analysis
Invest in Strategies
Wealth Management
Peer Comparisons
| Peers to compare with: |
Financials
| Median | |
|---|---|
| Name | |
| Mkt Price | 40.50 |
| Mkt Cap | 22.8 |
| Rev LTM | 5,607 |
| Op Inc LTM | 820 |
| FCF LTM | 79 |
| FCF 3Y Avg | 674 |
| CFO LTM | 113 |
| CFO 3Y Avg | 701 |
Growth & Margins
| Median | |
|---|---|
| Name | |
| Rev Chg LTM | 31.3% |
| Rev Chg 3Y Avg | 38.1% |
| Rev Chg Q | 0.4% |
| QoQ Delta Rev Chg LTM | 0.2% |
| Op Inc Chg LTM | -3.9% |
| Op Inc Chg 3Y Avg | 40.4% |
| Op Mgn LTM | 6.6% |
| Op Mgn 3Y Avg | 18.3% |
| QoQ Delta Op Mgn LTM | -0.4% |
| CFO/Rev LTM | 2.0% |
| CFO/Rev 3Y Avg | 21.4% |
| FCF/Rev LTM | 0.1% |
| FCF/Rev 3Y Avg | 19.1% |
Segment Financials
Revenue by Segment| $ Mil | 2025 | 2024 | 2023 | 2022 |
|---|---|---|---|---|
| Fintech | 25 | 12 | 0 | |
| Corporate and other | 0 | 0 | 0 | |
| Biotechnology | 0 | 0 | ||
| Recycling | 40 | |||
| Technology | 0 | |||
| Total | 25 | 12 | 0 | 40 |
| $ Mil | 2025 | 2024 | 2023 | 2022 |
|---|---|---|---|---|
| Fintech | -6 | 0 | 0 | |
| Corporate and other | -17 | -7 | -18 | |
| Biotechnology | -2 | -1 | ||
| Recycling | -2 | |||
| Technology | -14 | |||
| Total | -23 | -7 | -20 | -17 |
| $ Mil | 2024 | 2023 | 2022 |
|---|---|---|---|
| Fintech | 0 | ||
| Discontinued operations | 0 | 9 | 3 |
| Biotechnology | -2 | -2 | 8 |
| Corporate and other | -5 | -16 | |
| Total | -6 | -8 | 11 |
| $ Mil | 2024 | 2023 | 2022 | 2021 |
|---|---|---|---|---|
| Fintech | 64 | 0 | ||
| Biotechnology | 17 | 18 | 0 | 0 |
| Corporate and other | 1 | 1 | ||
| Discontinued operations | 0 | 0 | ||
| Recycling | 15 | 11 | ||
| Technology | 0 | 14 | ||
| Total | 82 | 18 | 15 | 24 |
Price Behavior
| 1M | 2M | 3M | 6M | 1Y | 3Y | |
|---|---|---|---|---|---|---|
| Beta | 1.00 | 2.60 | 2.86 | 0.59 | -1.49 | 0.60 |
| Up Beta | 2.71 | 5.55 | 5.42 | -1.06 | -0.24 | 0.96 |
| Down Beta | 2.63 | 3.54 | 3.12 | -0.60 | -2.01 | -0.08 |
| Up Capture | -253% | -98% | 27% | 11% | 5% | 0% |
| Bmk +ve Days | 11 | 22 | 35 | 67 | 138 | 427 |
| Stock +ve Days | 9 | 17 | 27 | 27 | 27 | 27 |
| Down Capture | 245% | 288% | 283% | 147% | 97% | 55% |
| Bmk -ve Days | 11 | 21 | 28 | 59 | 114 | 326 |
| Stock -ve Days | 13 | 26 | 36 | 36 | 36 | 36 |
[1] Upside and downside betas calculated using positive and negative benchmark daily returns respectively
Based On 1-Year Data
| Annualized Return | Annualized Volatility | Sharpe Ratio | Correlation with AIFC | |
|---|---|---|---|---|
| AIFC | -46.0% | 89.9% | -2.17 | - |
| Sector ETF (XLK) | 43.3% | 25.9% | 1.35 | 35.6% |
| Equity (SPY) | 23.5% | 12.9% | 1.37 | 42.5% |
| Gold (GLD) | 25.3% | 28.3% | 0.79 | 17.9% |
| Commodities (DBC) | 32.4% | 19.8% | 1.30 | -9.2% |
| Real Estate (VNQ) | 12.9% | 13.8% | 0.64 | -14.0% |
| Bitcoin (BTCUSD) | -43.6% | 43.0% | -1.21 | 26.3% |
Smart multi-asset allocation framework can stack odds in your favor. Learn How
Based On 5-Year Data
| Annualized Return | Annualized Volatility | Sharpe Ratio | Correlation with AIFC | |
|---|---|---|---|---|
| AIFC | -11.6% | 89.9% | -2.17 | - |
| Sector ETF (XLK) | 20.2% | 25.8% | 0.70 | 35.6% |
| Equity (SPY) | 13.2% | 17.2% | 0.59 | 42.5% |
| Gold (GLD) | 17.9% | 18.5% | 0.78 | 17.9% |
| Commodities (DBC) | 8.0% | 19.6% | 0.31 | -9.2% |
| Real Estate (VNQ) | 2.3% | 18.9% | 0.02 | -14.0% |
| Bitcoin (BTCUSD) | 10.0% | 53.0% | 0.38 | 26.3% |
Smart multi-asset allocation framework can stack odds in your favor. Learn How
Based On 10-Year Data
| Annualized Return | Annualized Volatility | Sharpe Ratio | Correlation with AIFC | |
|---|---|---|---|---|
| AIFC | -6.0% | 89.9% | -2.17 | - |
| Sector ETF (XLK) | 24.4% | 24.9% | 0.89 | 35.6% |
| Equity (SPY) | 15.3% | 17.9% | 0.73 | 42.5% |
| Gold (GLD) | 11.8% | 16.2% | 0.59 | 17.9% |
| Commodities (DBC) | 7.4% | 18.0% | 0.33 | -9.2% |
| Real Estate (VNQ) | 4.9% | 20.7% | 0.20 | -14.0% |
| Bitcoin (BTCUSD) | 58.3% | 66.2% | 0.98 | 26.3% |
Smart multi-asset allocation framework can stack odds in your favor. Learn How
SEC Filings
Expand for More| Report Date | Filing Date | Filing |
|---|---|---|
| 03/31/2026 | 05/18/2026 | 10-Q |
| 12/31/2025 | 04/13/2026 | 10-K |
| 09/30/2025 | 01/12/2026 | 10-Q |
| 06/30/2025 | 08/12/2025 | 10-Q |
| 03/31/2025 | 05/13/2025 | 10-Q |
| 12/31/2024 | 03/28/2025 | 10-K |
| 09/30/2024 | 11/12/2024 | 10-Q |
| 06/30/2024 | 08/19/2024 | 10-Q |
| 03/31/2024 | 05/03/2024 | 10-Q |
| 12/31/2023 | 04/08/2024 | 10-K |
| 09/30/2023 | 11/14/2023 | 10-Q |
| 06/30/2023 | 08/15/2023 | 10-Q |
| 03/31/2023 | 05/22/2023 | 10-Q |
| 12/31/2022 | 04/17/2023 | 10-K |
| 09/30/2022 | 11/14/2022 | 10-Q |
| 06/30/2022 | 08/15/2022 | 10-Q |
| Report Date | Filing Date | Filing |
|---|---|---|
| 03/31/2026 | 05/18/2026 | 10-Q |
| 12/31/2025 | 04/13/2026 | 10-K |
| 09/30/2025 | 01/12/2026 | 10-Q |
| 06/30/2025 | 08/12/2025 | 10-Q |
| 03/31/2025 | 05/13/2025 | 10-Q |
| 12/31/2024 | 03/28/2025 | 10-K |
| 09/30/2024 | 11/12/2024 | 10-Q |
| 06/30/2024 | 08/19/2024 | 10-Q |
| 03/31/2024 | 05/03/2024 | 10-Q |
| 12/31/2023 | 04/08/2024 | 10-K |
| 09/30/2023 | 11/14/2023 | 10-Q |
| 06/30/2023 | 08/15/2023 | 10-Q |
| 03/31/2023 | 05/22/2023 | 10-Q |
| 12/31/2022 | 04/17/2023 | 10-K |
| 09/30/2022 | 11/14/2022 | 10-Q |
| 06/30/2022 | 08/15/2022 | 10-Q |
| 03/31/2022 | 05/12/2022 | 10-Q |
| 12/31/2021 | 04/01/2022 | 10-K |
| 09/30/2021 | 11/15/2021 | 10-Q |
| 06/30/2021 | 08/16/2021 | 10-Q |
| 03/31/2021 | 05/17/2021 | 10-Q |
| 12/31/2020 | 03/30/2021 | 10-K |
| 09/30/2020 | 11/10/2020 | 10-Q |
| 06/30/2020 | 08/10/2020 | 10-Q |
| 03/31/2020 | 05/12/2020 | 10-Q |
| 12/31/2019 | 04/06/2020 | 10-K |
| 09/30/2019 | 11/19/2019 | 10-Q |
| 06/30/2019 | 08/19/2019 | 10-Q |
AI Financial — Investor Video Playlist





Industry Resources
| Information Technology Resources |
| TechCrunch |
| Wired |
| CIO |
| MIT Technology Review |
| Gartner Insights |
| Ars Technica |
| Systems Software Resources |
| CNET |
| ZDNet |
| Gartner |
| Software Development Times |
External Quote Links
| Y Finance | Barrons |
| TradingView | Morningstar |
| SeekingAlpha | ValueLine |
| Motley Fool | Robinhood |
| CNBC | Etrade |
| MarketWatch | Unusual Whales |
| YCharts | Perplexity Finance |
| FinViz |
Prefer one of these to Trefis? Tell us why.