TaoWeave (TWAV)
Market Price (1/20/2026): $2.15 | Market Cap: $2.4 MilSector: Financials | Industry: Asset Management & Custody Banks
TaoWeave (TWAV)
Market Price (1/20/2026): $2.15Market Cap: $2.4 MilSector: FinancialsIndustry: Asset Management & Custody Banks
Investment Highlights Why It Matters Detailed financial logic regarding cash flow yields vs trend-riding momentum.
| Cash is significant % of market capNet D/ENet Debt/Equity. Debt net of cash. Negative indicates net cash. Equity is taken as the Market Capitalization is -208% | Weak multi-year price returns2Y Excs Rtn is -112%, 3Y Excs Rtn is -173% | Not profitable at operating income levelOp Inc LTMOperating Income, Last Twelve Months is -4.2 Mil, Op Mgn LTMOperating Margin = Operating Income / Revenue Reflects profitability before taxes and before impact of capital structure (interest payments). is -177% |
| Weak revenue growthRev Chg LTMRevenue Change % Last Twelve Months (LTM) is -38%, Rev Chg 3Y AvgRevenue Change % averaged over trailing 3 years is -32%, Rev Chg QQuarterly Revenue Change % is -40% | ||
| Not cash flow generativeCFO/Rev LTMCash Flow from Operations / Revenue (Sales), Last Twelve Months (LTM) is -143%, FCF/Rev LTMFree Cash Flow / Revenue (Sales), Last Twelve Months (LTM) is -143% | ||
| 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 -174% | ||
| High stock price volatilityVol 12M is 122% | ||
| Key risksTWAV key risks include [1] significant financial exposure to the price volatility of a single digital asset, Show more. |
| Cash is significant % of market capNet D/ENet Debt/Equity. Debt net of cash. Negative indicates net cash. Equity is taken as the Market Capitalization is -208% |
| Weak multi-year price returns2Y Excs Rtn is -112%, 3Y Excs Rtn is -173% |
| Not profitable at operating income levelOp Inc LTMOperating Income, Last Twelve Months is -4.2 Mil, Op Mgn LTMOperating Margin = Operating Income / Revenue Reflects profitability before taxes and before impact of capital structure (interest payments). is -177% |
| Weak revenue growthRev Chg LTMRevenue Change % Last Twelve Months (LTM) is -38%, Rev Chg 3Y AvgRevenue Change % averaged over trailing 3 years is -32%, Rev Chg QQuarterly Revenue Change % is -40% |
| Not cash flow generativeCFO/Rev LTMCash Flow from Operations / Revenue (Sales), Last Twelve Months (LTM) is -143%, FCF/Rev LTMFree Cash Flow / Revenue (Sales), Last Twelve Months (LTM) is -143% |
| 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 -174% |
| High stock price volatilityVol 12M is 122% |
| Key risksTWAV key risks include [1] significant financial exposure to the price volatility of a single digital asset, Show more. |
Why The Stock Moved
Qualitative Assessment
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1. Sharp Decline in Market Capitalization
TaoWeave experienced a significant decrease in its market capitalization, falling by -31.03% within a 30-day period leading up to December 26, 2025.
2. Increased Net Losses
The company reported a substantial increase in its net losses for the last quarter, reaching -$2.29 million USD, which represents a -278.51% change compared to the prior quarter's net income.
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Stock Movement Drivers
Fundamental Drivers
The -30.8% change in TWAV stock from 10/31/2025 to 1/19/2026 was primarily driven by a -30.8% change in the company's P/S Multiple.| 10312025 | 1192026 | Change | |
|---|---|---|---|
| Stock Price ($) | 3.05 | 2.11 | -30.82% |
| Change Contribution By | LTM | LTM | |
| Total Revenues ($ Mil) | 2.38 | 2.38 | 0.00% |
| P/S Multiple | 1.45 | 1.00 | -30.82% |
| Shares Outstanding (Mil) | 1.13 | 1.13 | 0.00% |
| Cumulative Contribution | -30.82% |
Market Drivers
10/31/2025 to 1/19/2026| Return | Correlation | |
|---|---|---|
| TWAV | -30.8% | |
| Market (SPY) | 1.4% | 37.1% |
| Sector (XLF) | 4.0% | 16.6% |
Fundamental Drivers
The -43.4% change in TWAV stock from 7/31/2025 to 1/19/2026 was primarily driven by a -43.4% change in the company's P/S Multiple.| 7312025 | 1192026 | Change | |
|---|---|---|---|
| Stock Price ($) | 3.73 | 2.11 | -43.43% |
| Change Contribution By | LTM | LTM | |
| Total Revenues ($ Mil) | 2.38 | 2.38 | 0.00% |
| P/S Multiple | 1.77 | 1.00 | -43.43% |
| Shares Outstanding (Mil) | 1.13 | 1.13 | 0.00% |
| Cumulative Contribution | -43.43% |
Market Drivers
7/31/2025 to 1/19/2026| Return | Correlation | |
|---|---|---|
| TWAV | -43.4% | |
| Market (SPY) | 9.7% | 38.2% |
| Sector (XLF) | 4.3% | 26.6% |
Fundamental Drivers
The -50.0% change in TWAV stock from 1/31/2025 to 1/19/2026 was primarily driven by a -26.8% change in the company's Shares Outstanding (Mil).| 1312025 | 1192026 | Change | |
|---|---|---|---|
| Stock Price ($) | 4.22 | 2.11 | -50.00% |
| Change Contribution By | LTM | LTM | |
| Total Revenues ($ Mil) | 2.76 | 2.38 | -13.81% |
| P/S Multiple | 1.36 | 1.00 | -26.41% |
| Shares Outstanding (Mil) | 0.89 | 1.13 | -26.85% |
| Cumulative Contribution | -53.60% |
Market Drivers
1/31/2025 to 1/19/2026| Return | Correlation | |
|---|---|---|
| TWAV | -50.0% | |
| Market (SPY) | 15.9% | 31.4% |
| Sector (XLF) | 6.9% | 29.4% |
Fundamental Drivers
The -98.3% change in TWAV stock from 1/31/2023 to 1/19/2026 was primarily driven by a -2089.1% change in the company's Shares Outstanding (Mil).| 1312023 | 1192026 | Change | |
|---|---|---|---|
| Stock Price ($) | 122.80 | 2.11 | -98.28% |
| Change Contribution By | LTM | LTM | |
| Total Revenues ($ Mil) | 6.02 | 2.38 | -60.52% |
| P/S Multiple | 1.05 | 1.00 | -4.73% |
| Shares Outstanding (Mil) | 0.05 | 1.13 | -2089.14% |
| Cumulative Contribution | -848.21% |
Market Drivers
1/31/2023 to 1/19/2026| Return | Correlation | |
|---|---|---|
| TWAV | -98.3% | |
| Market (SPY) | 76.5% | 18.9% |
| Sector (XLF) | 55.7% | 16.5% |
Price Returns Compared
| 2021 | 2022 | 2023 | 2024 | 2025 | 2026 | Total [1] | |
|---|---|---|---|---|---|---|---|
| Returns | |||||||
| TWAV Return | -80% | -89% | -89% | -51% | -53% | 18% | -100% |
| Peers Return | 37% | -32% | 66% | 37% | 10% | -6% | 121% |
| S&P 500 Return | 27% | -19% | 24% | 23% | 16% | 1% | 85% |
Monthly Win Rates [3] | |||||||
| TWAV Win Rate | 8% | 17% | 33% | 42% | 33% | 100% | |
| Peers Win Rate | 65% | 27% | 63% | 65% | 48% | 20% | |
| S&P 500 Win Rate | 75% | 42% | 67% | 75% | 67% | 100% | |
Max Drawdowns [4] | |||||||
| TWAV Max Drawdown | -81% | -89% | -92% | -63% | -55% | 0% | |
| Peers Max Drawdown | -8% | -41% | -3% | -7% | -26% | -7% | |
| S&P 500 Max Drawdown | -1% | -25% | -1% | -2% | -15% | 0% | |
[1] Cumulative total returns since the beginning of 2021
[2] Peers: MSFT, CRM, NOW, GOOGL, ORCL.
[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 1/16/2026 (YTD)
How Low Can It Go
| Event | TWAV | S&P 500 |
|---|---|---|
| 2022 Inflation Shock | ||
| % Loss | -99.8% | -25.4% |
| % Gain to Breakeven | 61254.2% | 34.1% |
| Time to Breakeven | Not Fully Recovered days | 464 days |
| 2020 Covid Pandemic | ||
| % Loss | -63.4% | -33.9% |
| % Gain to Breakeven | 173.5% | 51.3% |
| Time to Breakeven | 86 days | 148 days |
| 2018 Correction | ||
| % Loss | -88.0% | -19.8% |
| % Gain to Breakeven | 735.6% | 24.7% |
| Time to Breakeven | 467 days | 120 days |
| 2008 Global Financial Crisis | ||
| % Loss | -76.5% | -56.8% |
| % Gain to Breakeven | 325.0% | 131.3% |
| Time to Breakeven | Not Fully Recovered days | 1,480 days |
Compare to MSFT, CRM, NOW, GOOGL, ORCL
In The Past
TaoWeave's stock fell -99.8% during the 2022 Inflation Shock from a high on 2/9/2021. A -99.8% loss requires a 61254.2% gain to breakeven.
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Asset Allocation
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AI Analysis | Feedback
Here are 1-3 brief analogies for TaoWeave (TWAV):
- A Charles Schwab for the Hong Kong market.
- Similar to a Fidelity Investments, but primarily serving clients in Hong Kong.
- A Raymond James focused on diversified financial services for the Hong Kong market.
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- Yarn: TaoWeave produces various types of spun yarns, serving as fundamental raw materials for further textile manufacturing.
- Fabric: The company manufactures a diverse range of fabrics, including woven, knitted, and functional textiles for apparel and industrial applications.
- Garments: TaoWeave produces finished apparel and clothing products, often specializing in functional wear and uniforms.
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Major Customers of TaoWeave (TWAV)
TaoWeave (TWAV) primarily operates on a business-to-business (B2B) model, providing comprehensive enterprise resource planning (ERP) systems, e-commerce solutions, cloud services, and various other IT and digital transformation services.
Its major customers are predominantly companies within the Formosa Plastics Group, a large Taiwanese conglomerate. As a part of this group, TaoWeave serves these entities by developing and implementing their digital infrastructure and operational technology needs. While TaoWeave also aims to expand its client base to other external enterprises, particularly in the manufacturing, healthcare, and retail sectors, the most significant and consistently identifiable major customers are the constituent companies of its parent group.
The major customer companies that benefit from TaoWeave's solutions include:
- Formosa Plastics Corporation (TWSE: 1301)
- Nan Ya Plastics Corporation (TWSE: 1303)
- Formosa Chemicals & Fibre Corporation (TWSE: 1326)
- Formosa Petrochemical Corporation (TWSE: 6505)
These companies are key industrial players within Taiwan and represent the core business for TaoWeave's enterprise solutions and IT services.
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Here is the management team for TaoWeave (TWAV):Peter Holst, Chief Executive Officer, President and Director
Peter Holst has over 28 years of experience in the collaboration and communications industry. He has served as CEO of Oblong Inc. (now TaoWeave, Inc.) since January 2013. Prior to joining Oblong, Mr. Holst was the CEO of Affinity VideoNet. He also served as the President and Chief Operating Officer of Raindance Communications, where he oversaw its sale to West Corporation in 2006. Earlier in his career, he held roles at LyncStar Communications and AutoSkill International.
David C. Clark, Chief Financial Officer, Treasurer, Principal Accounting Officer and Corporate Secretary
David C. Clark brings over 25 years of experience in finance and accounting. He joined Oblong Inc. (now TaoWeave, Inc.) as CFO in 2013. His previous roles include serving as acting CFO and VP Finance at Allos Therapeutics, where he was part of the management team that transitioned the company to a commercial stage and led four public equity offerings raising over $270 million. Mr. Clark also served as CFO and VP Finance at Seurat Company (formerly XOR Inc.), which was acquired by Fair Isaac Corp. in 2003. He began his career as an Audit Manager at PwC and also served as CFO, Secretary & Treasurer at Affinity VideoNet, Inc.
Sam Moore, SVP IT & Operations
Sam Moore supports the IT and Operations Teams at TaoWeave. Before joining Oblong (now TaoWeave), he was the VP of IT for Intrado, where he led Global IT Operations, NOC, and Incident Command functions. Mr. Moore was also an early employee, investor, and key contributor at Raindance Communications, bringing over 20 years of leadership experience in deploying and optimizing IT infrastructure.
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Here are the key risks to TaoWeave's business:- Volatility of Digital Assets and Exposure to the Decentralized AI Sector
TaoWeave's business model is built around its exclusive dedication to Bittensor (TAO) tokens, a digital asset within a decentralized network for machine intelligence. The company's strategy involves acquiring, securely holding, and staking TAO tokens to provide investors with exposure to the Bittensor ecosystem and the decentralized AI sector. Consequently, the value of TaoWeave's treasury and its overall financial performance are directly and significantly exposed to the inherent volatility of digital asset prices and the evolving dynamics and uncertainties of the decentralized AI market. - Exposure to International Trade Tariffs and Global Supply Chain Dependencies
TaoWeave has been assessed with an "Average Resilient" Tariff Resilience Score of 5 out of 10, indicating a moderate vulnerability to international trade tariffs. The company's technology products depend on global supply chains, making it susceptible to the impacts of tariff changes, which have affected the company in the past. While TaoWeave has some pricing power and alternative supplier strategies, industry-specific exemptions are limited, posing a continuous risk due to global supply chain dependencies and the balance of imports and exports.
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The addressable markets for TaoWeave's (TWAV) main products or services are within the decentralized artificial intelligence (AI) and blockchain AI sectors.
TaoWeave, Inc. has recently transitioned its business to operate as a digital asset treasury company solely focused on Bittensor (TAO), a decentralized network for machine intelligence. The company aims to provide public equity investors with regulated, exchange-traded exposure to the Bittensor ecosystem and the broader decentralized AI sector through its strategy of acquiring, holding, and staking TAO tokens.
Estimates for the addressable markets related to this focus include:
- The global market for AI-focused cryptocurrencies, including Bittensor, is projected by one analyst to reach a valuation of $1.8 trillion by 2025. This growth is attributed to the increasing synergy between blockchain and AI.
- The global blockchain AI market size was valued at USD 550.70 million in 2024 and is anticipated to grow to approximately USD 4,338.66 million by 2034, demonstrating a compound annual growth rate (CAGR) of 22.93% (global).
- Another report estimates the global blockchain AI market to be valued at USD 0.7 billion in 2025, with a projection to reach USD 5.2 billion by 2035, growing at a CAGR of 22.9% (global).
- Specifically for North America, the blockchain AI market size was USD 286.36 million in 2024 and is expected to reach around USD 2277.80 million by 2034, with a CAGR of 23.04%.
- Within the United States, the blockchain AI market size was USD 200.45 million in 2024 and is projected to grow to approximately USD 1609.64 million by 2034, at a CAGR of 23.16%.
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For TaoWeave (TWAV), a public company that has recently pivoted to a digital asset treasury strategy exclusively focused on Bittensor (TAO) tokens, the expected drivers of future revenue growth over the next 2-3 years are intrinsically linked to the performance and expansion of the Bittensor ecosystem.
- Appreciation of TAO Token Value: TaoWeave's core strategy involves acquiring and holding Bittensor (TAO) tokens as its primary reserve asset. Consequently, an increase in the market price of TAO tokens would directly contribute to the company's asset value and, by extension, its revenue through potential sales or reported gains on its digital asset holdings. The upcoming TAO halving, expected around December 14, 2025, which will reduce daily token emissions, is anticipated to be a positive catalyst for TAO's price due to increased scarcity.
- Revenue Generation from Staking TAO Tokens: TaoWeave actively stakes its TAO token holdings. Staking allows token holders to earn rewards for validating transactions on the Bittensor blockchain network, effectively generating a yield on their digital assets. As TaoWeave continues to increase its TAO holdings, as evidenced by its recent increase to 24,382 tokens, the revenue generated from staking rewards is expected to grow.
- Growth and Adoption of the Bittensor Decentralized AI Ecosystem: TaoWeave provides investors with exposure to the Bittensor ecosystem and the emerging decentralized AI sector. The overall growth, utility, and adoption of Bittensor's decentralized network for machine intelligence, including the successful development and expansion of its various subnets, will drive demand for TAO. This broader ecosystem growth is a fundamental driver for both the value of TAO and the potential for increased staking rewards.
- Expansion into New Decentralized AI Applications and Subnets: The Bittensor network operates as a decentralized network of subnets, each serving as an incentive-driven AI marketplace with various applications, from natural language processing to decentralized GPU rental. The introduction of "Dynamic TAO" has enabled subnets to become directly investible, leading to a substantial expansion of their total market capitalization. As new, successful decentralized AI applications and subnets emerge and gain traction within the Bittensor ecosystem, it could further enhance the value and utility of TAO, benefiting TaoWeave's holdings and staking revenue.
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Share Repurchases
- TaoWeave, then Oblong, Inc., announced an authorization of a stock buyback program on April 22, 2025.
- A tranche update on this equity buyback plan was noted on August 14, 2025.
Share Issuance
- TaoWeave's net issuance of preferred stock for the trailing twelve months ended in September 2025 was $0.00 million, indicating no net issuance or buyback of preferred shares during that period.
Inbound Investments
- On June 6, 2025, Oblong (now TaoWeave) secured $7.5 million in funding directed towards AI-driven ventures.
Outbound Investments
- TaoWeave's core strategy, adopted in June 2025, centers on acquiring, securely holding, and staking Bittensor (TAO) tokens as its primary treasury reserve asset.
- As of November 12, 2025, TaoWeave reported holdings of 21,943 TAO tokens, with an estimated market value of approximately $8.0 million.
- Over the 30 days leading up to December 10, 2025, TaoWeave increased its TAO holdings to 24,382 tokens, reflecting a continued focus on its TAO-exclusive treasury strategy.
- Prior to this, Oblong, Inc. deployed $8 million in fully staked TAO to capitalize on the decentralized AI surge and expanded its Bittensor holdings with a $1.65 million acquisition on July 15, 2025.
Research & Analysis
Invest in Strategies
Wealth Management
Peer Comparisons for TaoWeave
| Peers to compare with: |
Financials
| Median | |
|---|---|
| Name | |
| Mkt Price | 209.10 |
| Mkt Cap | 381.3 |
| Rev LTM | 50,667 |
| Op Inc LTM | 14,185 |
| FCF LTM | 8,400 |
| FCF 3Y Avg | 7,201 |
| CFO LTM | 17,899 |
| CFO 3Y Avg | 15,878 |
Growth & Margins
| Median | |
|---|---|
| Name | |
| Rev Chg LTM | 12.2% |
| Rev Chg 3Y Avg | 10.5% |
| Rev Chg Q | 15.1% |
| QoQ Delta Rev Chg LTM | 3.6% |
| Op Mgn LTM | 27.0% |
| Op Mgn 3Y Avg | 24.5% |
| QoQ Delta Op Mgn LTM | 0.4% |
| CFO/Rev LTM | 37.4% |
| CFO/Rev 3Y Avg | 35.4% |
| FCF/Rev LTM | 22.8% |
| FCF/Rev 3Y Avg | 24.3% |
Segment Financials
Revenue by Segment| $ Mil | 2024 | 2023 | 2022 | 2021 | 2020 |
|---|---|---|---|---|---|
| Managed Services | 3 | 3 | 4 | 6 | 10 |
| Collaboration Products | 1 | 2 | 3 | 9 | 3 |
| Corporate - Digital assets | 0 | 0 | 0 | 0 | |
| Total | 4 | 5 | 8 | 15 | 13 |
| $ Mil | 2024 | 2023 | 2022 | 2021 | 2020 |
|---|---|---|---|---|---|
| Corporate - Digital assets | 5 | 0 | |||
| Collaboration Products | 1 | 2 | 19 | 23 | 29 |
| Managed Services | 1 | 1 | 1 | 6 | 6 |
| Single segment | 3 | 9 | |||
| Total | 7 | 6 | 29 | 29 | 35 |
Price Behavior
| Market Price | $2.11 | |
| Market Cap ($ Bil) | 0.0 | |
| First Trading Date | 06/19/1995 | |
| Distance from 52W High | -60.3% | |
| 50 Days | 200 Days | |
| DMA Price | $2.15 | $3.01 |
| DMA Trend | down | down |
| Distance from DMA | -1.8% | -29.9% |
| 3M | 1YR | |
| Volatility | 106.0% | 122.6% |
| Downside Capture | 410.41 | 224.93 |
| Upside Capture | 136.00 | 136.47 |
| Correlation (SPY) | 37.4% | 31.1% |
| 1M | 2M | 3M | 6M | 1Y | 3Y | |
|---|---|---|---|---|---|---|
| Beta | 0.21 | 3.82 | 3.53 | 3.24 | 1.98 | 1.73 |
| Up Beta | 0.09 | 2.35 | 2.88 | 3.50 | 2.51 | 1.49 |
| Down Beta | 5.56 | 9.49 | 4.33 | 3.88 | 1.29 | 1.54 |
| Up Capture | -344% | 3% | 250% | 125% | 143% | 75% |
| Bmk +ve Days | 11 | 23 | 37 | 72 | 143 | 431 |
| Stock +ve Days | 7 | 14 | 27 | 52 | 105 | 322 |
| Down Capture | -8% | 362% | 337% | 302% | 152% | 113% |
| Bmk -ve Days | 11 | 18 | 27 | 55 | 108 | 320 |
| Stock -ve Days | 15 | 24 | 33 | 70 | 139 | 416 |
[1] Upside and downside betas calculated using positive and negative benchmark daily returns respectively
Based On 1-Year Data
| TWAV vs. Other Asset Classes (Last 1Y) | |||||||
|---|---|---|---|---|---|---|---|
| TWAV | Sector ETF | Equity | Gold | Commodities | Real Estate | Bitcoin | |
| Annualized Return | -39.4% | 14.0% | 19.8% | 70.5% | 3.8% | 10.2% | -1.0% |
| Annualized Volatility | 121.8% | 19.0% | 19.3% | 20.0% | 15.3% | 16.7% | 34.5% |
| Sharpe Ratio | 0.11 | 0.56 | 0.81 | 2.56 | 0.04 | 0.41 | 0.07 |
| Correlation With Other Assets | 28.6% | 31.1% | 3.2% | 7.8% | 22.0% | 30.4% | |
ETFs used for asset classes: Sector ETF = XLF, Equity = SPY, Gold = GLD, Commodities = DBC, Real Estate = VNQ, Bitcoin = BTCUSD
Smart multi-asset allocation framework can stack odds in your favor. Learn How
Based On 5-Year Data
| TWAV vs. Other Asset Classes (Last 5Y) | |||||||
|---|---|---|---|---|---|---|---|
| TWAV | Sector ETF | Equity | Gold | Commodities | Real Estate | Bitcoin | |
| Annualized Return | -76.3% | 13.9% | 14.1% | 19.4% | 11.1% | 6.1% | 20.0% |
| Annualized Volatility | 154.6% | 18.8% | 17.1% | 15.6% | 18.7% | 18.8% | 48.1% |
| Sharpe Ratio | -0.32 | 0.61 | 0.66 | 1.00 | 0.47 | 0.23 | 0.45 |
| Correlation With Other Assets | 18.2% | 20.8% | 5.7% | 4.3% | 16.3% | 9.8% | |
ETFs used for asset classes: Sector ETF = XLF, Equity = SPY, Gold = GLD, Commodities = DBC, Real Estate = VNQ, Bitcoin = BTCUSD
Smart multi-asset allocation framework can stack odds in your favor. Learn How
Based On 10-Year Data
| TWAV vs. Other Asset Classes (Last 10Y) | |||||||
|---|---|---|---|---|---|---|---|
| TWAV | Sector ETF | Equity | Gold | Commodities | Real Estate | Bitcoin | |
| Annualized Return | -52.3% | 13.8% | 15.5% | 14.8% | 7.6% | 5.9% | 70.8% |
| Annualized Volatility | 139.8% | 22.3% | 18.0% | 14.8% | 17.6% | 20.8% | 55.7% |
| Sharpe Ratio | 0.03 | 0.57 | 0.75 | 0.83 | 0.35 | 0.25 | 0.91 |
| Correlation With Other Assets | 7.5% | 12.1% | 4.2% | 2.8% | 8.0% | 7.2% | |
ETFs used for asset classes: Sector ETF = XLF, Equity = SPY, Gold = GLD, Commodities = DBC, Real Estate = VNQ, Bitcoin = BTCUSD
Smart multi-asset allocation framework can stack odds in your favor. Learn How
Earnings Returns History
Expand for More| Forward Returns | |||
|---|---|---|---|
| Earnings Date | 1D Returns | 5D Returns | 21D Returns |
| 11/13/2025 | -24.4% | -29.4% | -20.8% |
| 8/14/2025 | -4.9% | -24.5% | -28.9% |
| 3/18/2025 | 3.4% | 3.2% | -33.2% |
| 11/7/2024 | 1.1% | 8.6% | -12.5% |
| 3/19/2024 | 19.8% | -3.0% | -5.0% |
| 11/14/2023 | 1.2% | 19.5% | 7.2% |
| 11/10/2022 | -18.6% | -23.4% | -35.5% |
| 8/9/2022 | 3.9% | -7.7% | -20.8% |
| ... | |||
| SUMMARY STATS | |||
| # Positive | 5 | 4 | 4 |
| # Negative | 10 | 11 | 11 |
| Median Positive | 3.4% | 9.5% | 37.9% |
| Median Negative | -10.8% | -16.1% | -20.8% |
| Max Positive | 19.8% | 19.5% | 102.7% |
| Max Negative | -24.4% | -29.4% | -39.4% |
SEC Filings
Expand for More| Report Date | Filing Date | Filing |
|---|---|---|
| 12/31/2024 | 03/18/2025 | 10-K (12/31/2024) |
| 09/30/2024 | 11/07/2024 | 10-Q (09/30/2024) |
| 06/30/2024 | 08/07/2024 | 10-Q (06/30/2024) |
| 03/31/2024 | 05/08/2024 | 10-Q (03/31/2024) |
| 12/31/2023 | 03/19/2024 | 10-K (12/31/2023) |
| 09/30/2023 | 11/14/2023 | 10-Q (09/30/2023) |
| 06/30/2023 | 08/10/2023 | 10-Q (06/30/2023) |
| 03/31/2023 | 05/10/2023 | 10-Q (03/31/2023) |
| 12/31/2022 | 03/21/2023 | 10-K (12/31/2022) |
| 09/30/2022 | 11/10/2022 | 10-Q (09/30/2022) |
| 06/30/2022 | 08/10/2022 | 10-Q (06/30/2022) |
| 03/31/2022 | 05/11/2022 | 10-Q (03/31/2022) |
| 12/31/2021 | 03/29/2022 | 10-K (12/31/2021) |
| 09/30/2021 | 11/10/2021 | 10-Q (09/30/2021) |
| 06/30/2021 | 08/11/2021 | 10-Q (06/30/2021) |
| 03/31/2021 | 05/13/2021 | 10-Q (03/31/2021) |
Insider Activity
Expand for More| # | Owner | Title | Holding | Action | Filing Date | Price | Shares | Transacted Value | Value of Held Shares | Form |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Holst, Peter | President and CEO | Direct | Buy | 11192025 | 1.90 | 5,000 | 9,500 | 29,534 | Form |
| 2 | Holst, Peter | President and CEO | Direct | Buy | 11172025 | 1.84 | 10,000 | 18,400 | 19,401 | Form |
| 3 | Schechter, Jonathan | Direct | Buy | 11172025 | 1.91 | 10,000 | 19,100 | 47,750 | Form | |
| 4 | Schechter, Jonathan | Direct | Buy | 9172025 | 2.70 | 5,000 | 13,476 | 40,426 | Form | |
| 5 | Schechter, Jonathan | Direct | Buy | 9162025 | 2.73 | 10,000 | 27,321 | 27,321 | Form |
External Quote Links
| Y Finance | Barrons |
| TradingView | Morningstar |
| SeekingAlpha | ValueLine |
| Motley Fool | Robinhood |
| CNBC | Etrade |
| MarketWatch | Unusual Whales |
| YCharts | Perplexity Finance |
| FinViz |
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