Risk Disclosure Statement

Effective Date: January 1, 2026
Last Updated: January 24, 2026

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Introduction

This Risk Disclosure Statement provides a comprehensive explanation of the risks associated with using Uptick's Services and investing based on our algorithmic recommendations. This document supplements our Terms of Service, which contains liability limitations and other important disclaimers.

IMPORTANT: Please read this entire document carefully. Investing in securities carries substantial risk of loss, including the potential loss of your entire investment. Uptick's algorithmic recommendations are not personalized investment advice and do not guarantee investment returns.

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1. Algorithm and Model Risk

What Is Algorithm Risk?

Uptick's recommendations are generated by proprietary mathematical models based on historical data and statistical analysis. Like all models, our algorithms are subject to inherent limitations and risks.

Key Risks with Our Algorithm

1.1 Computational Errors and Bugs

• Our algorithms may contain undetected errors, bugs, or logical flaws that produce incorrect recommendations
• Mathematical errors in calculations could lead to unsuitable recommendations
• Software bugs could cause recommendations to fail or produce erroneous outputs
• We conduct extensive testing, but cannot guarantee error-free operation

1.2 Model Assumptions May Not Hold

• Our models are built on assumptions about how markets function and how securities perform
• These assumptions may not be valid in all market conditions
• Market behavior can change, invalidating model assumptions
• Black swan events and unprecedented market conditions can break model assumptions

1.3 Inability to Predict Future Performance

• Historical data cannot guarantee future results
• Securities markets are inherently unpredictable
• Past patterns of security price movements do not guarantee they will repeat
• Our models may fail to predict turning points, crashes, or recoveries

1.4 Incomplete Variable Capture

• Models cannot account for ALL variables that affect security prices
• Omitted variables (unknown factors, irrational behavior, external shocks) can significantly impact returns
• New, previously unknown factors may emerge that our model does not account for
• Political, social, and technological changes can disrupt market patterns

1.5 Reliance on Incomplete or Outdated Data

• Our models use data that may be incomplete, outdated, or subject to revision
• Data corrections or revisions can occur after recommendations are made
• Information asymmetries mean some market participants have access to better data
• Our algorithms cannot access real-time information that might change recommendations

1.6 Model Overfitting

• Our algorithms have been developed and optimized using historical data
• This optimization process can create "overfitting," where the model captures patterns unique to the past
• Patterns that worked well in the past may not repeat in the future
• Models may be too narrowly tailored to historical conditions

Impact on You

If our algorithm contains errors or its assumptions fail:

• Recommendations could be systematically wrong
• Losses could be substantial and widespread across many users
• There is no human review process to catch algorithmic errors
• You would bear full responsibility for losses resulting from flawed recommendations

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2. Data Quality and Completeness Risk

What Data Does Uptick Use?

Our algorithms analyze data from multiple sources:

• Market Data: OHLCV (Open, High, Low, Close, Volume) from exchanges
• Corporate Filings: 10-K annual reports, 10-Q quarterly reports, 8-K current reports
• News and Information: Financial news, earnings announcements, corporate announcements
• Sentiment Data: Social media sentiment, analyst sentiment, news tone analysis
• Macroeconomic Data: Federal Reserve economic data, employment statistics, inflation data, interest rates

Data Quality Risks

2.1 Third-Party Data Errors

• Data from third-party providers (Yahoo Finance, SEC, news services, etc.) may contain errors
• We cannot verify or audit the accuracy of third-party data
• Data quality problems can propagate through our models and affect recommendations
• We have limited recourse if data providers provide inaccurate information

2.2 Data Delays and Staleness

• Market data may not be truly real-time; delays of minutes to hours are common
• Corporate filings may be delayed or revised
• News data may be incomplete or subject to revision
• Our recommendations could be based on stale information

2.3 Data Gaps and Incompleteness

• Historical data may have gaps or missing values
• Some securities may have sparse historical data
• International data may be less reliable or complete
• Recent IPOs or newly listed securities have limited historical data

2.4 Corporate Action Data Problems

• Stock splits, dividends, mergers, spinoffs require data adjustments
• Incorrect corporate action data can distort historical analysis
• Survivorship bias: delisted or bankrupt companies are excluded from historical data
• This distortion can make past performance appear better than it actually was

2.5 Data Corrections and Revisions

• Financial data is frequently revised by companies and data providers
• Corporate earnings can be restated
• SEC filings can be amended
• These corrections occur AFTER our recommendations are made
• Past data we relied on may turn out to be inaccurate

2.6 Data Provider Service Issues

• Data feeds may experience outages or delays
• Data providers may change their data formats or availability
• Some data sources may become unavailable
• Service disruptions could cause recommendations to become unreliable

Impact on You

Poor data quality can mean:

• Recommendations are based on incorrect or stale information
• The algorithm makes decisions using flawed inputs
• Recommendations could systematically misdirect capital
• You may not know that data quality problems affected recommendations until losses occur

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3. Market Risk

What Is Market Risk?

Securities markets are inherently volatile, uncertain, and unpredictable. Even well-researched recommendations can perform poorly due to market conditions beyond anyone's control.

Key Market Risks

3.1 Price Volatility

• Security prices fluctuate constantly based on numerous factors
• Volatility can increase dramatically during uncertain periods
• Price movements can be abrupt and severe
• Securities can decline 20%, 50%, or more in short periods

3.2 Securities Can Decline Substantially

• Any security recommended by Uptick can decline significantly in value
• It is possible to lose most or all of your investment in a security
• Even high-quality companies with strong fundamentals can decline substantially
• Market-wide declines can affect all securities, regardless of individual quality

3.3 Liquidity Risk

• During market stress, the ability to sell securities at desired prices diminishes
• "Bid-ask spreads" (the difference between buy and sell prices) can widen significantly
• Large positions may be difficult to sell without accepting lower prices
• In extreme cases, markets can freeze and trading becomes difficult

3.4 Market-Wide Movements

• Individual stocks move in correlation with broader market movements
• Market declines affect most securities, regardless of fundamentals
• Sector rotations can cause entire industries to underperform
• Market risk cannot be eliminated through diversification alone

3.5 Interest Rate Risk

• Rising interest rates can harm stock valuations
• Some securities are more sensitive to interest rate changes
• Our algorithm may not perfectly anticipate interest rate movements
• Unexpected rate changes can cause significant losses

3.6 Currency Risk (for international securities)

• Currency exchange rates can fluctuate
• Foreign investments are subject to currency depreciation risk
• Our algorithms may not effectively hedge currency risk
• Currency movements can offset or amplify returns

3.7 Transaction Costs

• When you execute trades based on recommendations, you incur trading costs
• Commissions, bid-ask spreads, and market impact reduce returns
• Our backtests do NOT include these costs
• Actual returns will be lower than backtested results

3.8 Taxes

• Investment gains are subject to capital gains taxes
• Trading based on recommendations can trigger tax liabilities
• Our recommendations do NOT consider your specific tax situation
• Tax drag on returns is not included in backtests
• Consulting a tax professional is essential

Impact on You

Market risk means:

• Securities can decline significantly regardless of quality
• You can lose substantial portions of your investment
• Recommendations do not protect against market downturns
• Even "good" recommendations can result in losses

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4. Tail Risk and Black Swan Events

What Are Tail Risk and Black Swan Events?

"Tail risk" refers to the possibility of extreme, rare events that fall far outside the range of historical experience. "Black swan events" are highly improbable events that have massive impact when they occur.

Historical Black Swan Examples

• 2008 Financial Crisis: Markets declined 50%+ as financial system nearly collapsed
• 2020 COVID-19 Pandemic: Markets crashed then recovered abruptly; volatility surged
• 2022 Russian Invasion: Geopolitical shock caused energy and commodity spikes
• 9/11 Terrorist Attacks: Market closed for 4 days; reopened with massive decline

Tail Risks Beyond Historical Data

Our algorithms are trained on historical data, typically 5 years of market history. However, tail events often have no historical precedent. Examples of potential tail risks:

4.1 Geopolitical Events

• Major wars or regional conflicts
• Terrorist attacks or cyber attacks on financial infrastructure
• Political instability or regime changes
• International sanctions or trade wars
• Nuclear incidents or weapons proliferation

4.2 Natural Disasters and Pandemics

• Severe hurricanes, earthquakes, or tsunamis
• Widespread pandemics or epidemics
• Extreme weather events (floods, droughts, wildfires)
• Space weather events (solar flares, coronal mass ejections)

4.3 Economic Shocks

• Severe recessions or depressions
• Currency collapses in major economies
• Sovereign debt defaults
• Inflation or deflation spirals

4.4 Technological Disruptions

• Sudden technological obsolescence
• Cyber attacks on critical infrastructure
• Power grid failures
• Internet outages

4.5 Market Dislocations

• Flash crashes where prices plummet in minutes
• Circuit breakers halt trading at wrong times
• Derivative market dislocations (VIX spikes)
• Credit market freezes

4.6 Systemic Failures

• Bank failures or financial institution collapses
• Contagion effects spreading across markets
• Liquidity crises where assets cannot be sold
• Payment system failures

Why Our Algorithm Cannot Predict Tail Events

• By definition, tail events fall outside historical patterns
• If they occurred regularly, they would be in our historical data
• Our models are calibrated to "normal" conditions
• Assumptions that hold 99% of the time break down during tail events
• Risk models systematically underestimate tail risk probability

Impact of Tail Events on Your Portfolio

• Entire portfolio value could decline 30%, 50%, or more in weeks or days
• Securities recommended by Uptick could perform worse than overall market
• Liquidity may vanish; difficult to sell at any price
• Economic recovery could take years
• You could lose most or all of your investment

Our Position on Tail Risk

We do NOT attempt to predict or hedge against tail risk. We assume that:

• Tail events are too rare to model reliably
• Hedging against all tail risks is prohibitively expensive
• Users should be prepared for severe losses during extreme events
• You should only invest capital you can afford to lose completely

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5. Overfitting and Backtesting Bias

For Detailed Backtesting Methodology

For comprehensive information on how we conduct backtesting, including detailed step-by-step methodology, assumptions, backtesting biases, and performance gap analysis, please see:

Reference: "How Uptick Works" → Section 5.4: Detailed Backtesting Methodology

That document provides detailed explanations of:

• Step-by-step backtesting process and data collection
• All assumptions underlying backtests and their realistic impact
• Types of backtesting bias (data mining, overfitting, survivorship, look-ahead)
• Impact of trading costs and taxes on realistic performance
• The typical performance gap between backtested and forward performance
• Our forward performance monitoring procedures

Key Takeaway: Even carefully conducted backtests cannot reliably predict future performance due to changing market conditions, biases in the testing process, and unrealistic assumptions about costs and execution.

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What Is Overfitting?

Overfitting occurs when a model becomes too tailored to historical data. The model captures patterns that are unique to the past and unlikely to repeat in the future. Overfitting makes past performance look better than future performance will be.

Backtesting Methodology and Limitations

Our Backtesting Approach:

• We test our algorithms on 5 years of historical data
• We optimize algorithms to maximize Sharpe ratio (risk-adjusted returns)
• We evaluate recommendations that were made in the past
• We calculate what returns would have been if past recommendations were followed

Critical Backtesting Limitations:

5.1 Unrealistic Assumptions

• Backtests assume perfect execution at historical prices
• Actual trading involves bid-ask spreads and market impact
• Backtests do NOT include commissions or trading fees
• Backtests do NOT include taxes
• Backtests assume you could have traded at the exact historical price

5.2 Look-Ahead Bias

• Backtests use data that was not available at the time recommendations would have been made
• We optimize using all available historical data
• In reality, you would not have had access to this data at the time
• This bias makes past recommendations appear better than they actually were

5.3 Survivorship Bias

• Our backtests only include securities that exist today
• Securities that were delisted, went bankrupt, or merged are excluded
• These failed securities had poor returns
• By excluding them, backtest returns appear artificially good
• This is a major source of bias in historical analysis

5.4 Selection Bias

• We choose which factors and methodologies to test
• We test many different models and parameters
• We report the best-performing models
• Poor-performing models are not reported
• This "data mining" makes results appear better than they really are

5.5 Market Regime Changes

• Markets go through different regimes (bull markets, bear markets, high volatility, low volatility, etc.)
• Our 5-year backtest may cover only certain market regimes
• Recommendations optimized for one regime may fail in another regime
• Future market conditions may be very different from the past

5.6 Structural Changes in Markets

• Market structure changes over time (e.g., rise of passive investing, high-frequency trading)
• Correlations between securities change
• Volatility regimes change
• The future may look very different from the past

The Backtesting Trap

Backtesting is useful for understanding how models performed historically, but it creates a false sense of confidence:

• It is easy to find a model that worked well in the past
• It is much harder to find a model that will work well in the future
• Past success often does NOT indicate future success
• This is one of the most important lessons in investing

Impact on You

Backtesting bias means:

• Our past performance may significantly overstate future performance
• Recommendations optimized for past conditions may fail in future conditions
• You should not assume future results will match backtested results
• Losses could be substantial if the algorithm fails on new market conditions

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6. No Human Review and Oversight Risk

How Our Algorithm Works

All Uptick recommendations are generated purely by automated algorithms. No human:

• Reviews recommendations for accuracy
• Validates recommendations for suitability
• Checks for errors or anomalies
• Considers special circumstances
• Provides alternative perspectives

Why This Is a Risk

6.1 Errors Go Undetected

• If the algorithm contains a bug, no human will catch it
• Systematic errors could affect all recommendations
• Incorrect data could propagate undetected
• Edge cases or unusual situations go unchecked

6.2 No Suitability Assessment

• An algorithm cannot assess whether a recommendation is suitable for you
• A recommendation could be wrong for your specific circumstances
• An algorithm does not know your risk tolerance, time horizon, or goals
• Human judgment would catch unsuitable recommendations; automation cannot

6.3 No Second Opinion

• A human investment adviser would provide perspective on recommendations
• Human experience might flag problematic recommendations
• Algorithms lack judgment and intuition
• You have no human expert to consult within Uptick

6.4 No Exception Handling

• Algorithms follow fixed rules and cannot make exceptions
• Unusual but important situations go unhandled
• Market events that break normal patterns might not be addressed
• Algorithms cannot "think outside the box"

6.5 Algorithmic Bias

• Our algorithms may have systematic biases we are not aware of
• Biases could favor certain types of securities or strategies
• Biases could disadvantage certain investors
• We may not discover these biases for months or years

Impact on You

Lack of human review means:

• No one is checking whether recommendations are right for you
• Algorithmic errors could affect all users equally
• You cannot escalate concerns to a human adviser within Uptick
• You are entirely dependent on algorithm accuracy

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7. Limited Scope of Analysis

What Uptick Does NOT Consider

Uptick provides stock recommendations and portfolio rebalancing suggestions only. We do NOT provide comprehensive financial planning. Specifically, we do NOT consider:

7.1 Tax Implications

• We do NOT optimize for your tax situation
• We do NOT conduct tax-loss harvesting
• We do NOT consider capital gains taxes
• We do NOT know your tax bracket
• You could have significant unexpected tax liabilities

7.2 Estate Planning and Wealth Transfer

• We do NOT consider your estate planning goals
• We do NOT help with wealth transfer to heirs
• We do NOT address charitable giving strategies
• We do NOT consider generational wealth strategies

7.3 Insurance Needs

• We do NOT assess your insurance coverage
• We do NOT consider life, disability, or liability insurance
• We do NOT help with insurance gap analysis
• Uninsured risks could devastate your financial plan

7.4 Debt Management

• We do NOT consider your debt situation (mortgages, loans, credit cards)
• We do NOT optimize debt repayment strategies
• We do NOT consider debt-to-equity ratios
• High debt could amplify losses from investment mistakes

7.5 Retirement Planning

• We do NOT conduct retirement income analysis
• We do NOT calculate how much you need to save
• We do NOT plan for Social Security optimization
• We do NOT consider healthcare costs in retirement

7.6 Income and Expense Planning

• We do NOT know your income situation
• We do NOT know your monthly expenses
• We do NOT know your emergency fund needs
• We do NOT consider job stability or income volatility

7.7 Overall Net Worth

• We do NOT consider real estate holdings
• We do NOT consider business interests
• We do NOT consider collectibles or alternative assets
• We do NOT know your total wealth picture

7.8 Life Goals and Priorities

• We do NOT know your financial goals
• We do NOT know your time horizon
• We do NOT know your risk tolerance
• We do NOT know your values and priorities

Why This Matters

Stock selection and portfolio allocation are only parts of comprehensive financial planning. Without considering the full picture:

• Recommendations could be wrong for your overall financial situation
• You could be taking inappropriate risks
• You could be missing important financial planning opportunities
• Professional financial advisers typically conduct comprehensive planning

Our Recommendation

You should consult with a qualified financial planner or investment adviser who will:

• Assess your complete financial situation
• Consider all of the above factors
• Develop a comprehensive plan
• Provide personalized recommendations
• Monitor and adjust as your life changes

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8. Cybersecurity and Data Breach Risk

Security Measures We Implement

We use industry-standard security measures:

• Encryption: Data encrypted in transit (TLS 1.2+) and at rest
• Authentication: Password hashing and authentication protocols
• Access Controls: Limited access to user data; access logging
• Firewalls: Network firewalls and intrusion detection
• Regular Audits: Security assessments and penetration testing

Cybersecurity Risks Despite Our Efforts

8.1 Sophisticated Attackers

• Skilled hackers and organized cybercrime groups target financial companies
• Nation-state actors conduct industrial espionage
• Attackers have advanced tools and techniques
• No company can guarantee 100% security against determined adversaries

8.2 Zero-Day Vulnerabilities

• Security vulnerabilities are discovered regularly
• "Zero-day" vulnerabilities are unknown to vendors and exploited by attackers
• We patch vulnerabilities when discovered, but exploits can happen in the interim
• Future vulnerabilities cannot be predicted

8.3 Insider Threats

• Employees or contractors with access could steal data
• Malicious insiders are difficult to prevent
• Former employees might retain access
• Inside threats can bypass external security controls

8.4 Third-Party Vulnerabilities

• We rely on third-party providers (Google Cloud, Stripe, etc.)
• A breach at a third party could expose your data
• We cannot directly control third-party security
• Shared infrastructure increases risk

8.5 Social Engineering

• Attackers use phishing, pretexting, and other social engineering
• Even security-conscious employees can fall for sophisticated attacks
• Attackers can impersonate legitimate companies or employees
• Social engineering can bypass technical controls

8.6 Supply Chain Attacks

• Attackers compromise software vendors or hardware manufacturers
• Malware is included in legitimate software or hardware
• Companies unknowingly install compromised systems
• These attacks are very difficult to detect

What Could Happen If We Are Breached

If Uptick experiences a data breach:

• Your portfolio composition and trading patterns could be stolen
• Cybercriminals could target you with scams or identity theft
• Your data could be sold on dark web markets
• Your email address could be added to spam/phishing lists
• Financial or reputational damage could result

Our Breach Notification Procedures

If we discover a data breach:

• We will notify you within 30 days
• We will describe what data was exposed
• We will explain what steps we're taking
• We will provide guidance on protecting yourself
• We will comply with applicable laws (GDPR, CCPA, etc.)

Your Responsibility

• Use strong, unique passwords for your Uptick account
• Enable multi-factor authentication if available
• Never share account credentials
• Be suspicious of unexpected emails or requests
• Monitor your financial accounts for unauthorized activity
• Consider identity theft protection services

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9. Operational Risk and Service Outages

Service Disruption Risks

9.1 Platform Downtime

• The Uptick platform may experience downtime for maintenance or emergencies
• Technical failures could make the service temporarily unavailable
• During outages, you cannot access recommendations or update your portfolio
• Critical recommendations might be unavailable during important market events

9.2 Data Availability Issues

• Data feeds may experience delays or failures
• Third-party data providers may have outages
• Your account data might become temporarily inaccessible
• Portfolio snapshots might be unavailable during critical times

9.3 Software Bugs

• Despite testing, our systems may have bugs or errors
• Bugs could cause incorrect recommendations
• Performance degradation could slow the platform
• Bugs could cause data corruption or loss

9.4 Capacity Issues

• During high-volume periods, the service may slow down
• The platform may become unresponsive
• Queue times for processing might increase
• You might not be able to access the service when you need it most

9.5 Third-Party Service Failures

• Google Cloud (our infrastructure provider) could experience outages
• Stripe (payment processor) could have disruptions
• Data providers could discontinue service
• Cascading failures could take our service offline

9.6 Disaster and Recovery

• Natural disasters (earthquakes, floods, etc.) could damage data centers
• Recovery from disasters takes time (hours to days)
• Data loss could occur despite backups
• Service restoration may take longer than expected

Long-Term Risks

9.7 Service Discontinuation

• Uptick may discontinue the Services at any time
• We may discontinue specific features with limited notice
• If service is discontinued, you lose access to recommendations and data
• You would need to find alternative services

9.8 Acquisition or Bankruptcy

• Uptick could be acquired; new ownership might change the service
• Uptick could experience financial difficulties and eventually fail
• In bankruptcy, your account data might be compromised
• There is no guarantee of service continuity

Impact on You

Service disruptions mean:

• You might be unable to access recommendations when markets move
• You might miss important trading opportunities
• You might be unable to execute time-sensitive trades
• Long-term service discontinuation could force you to migrate to another platform

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10. Regulatory Risk

Evolving Regulatory Landscape

The regulatory environment for algorithmic advisory and financial data analytics is rapidly evolving. Rules that do not exist today may be enacted tomorrow.

Potential Regulatory Changes

10.1 SEC Regulations on Algorithmic Advice

• SEC may require registration or licensing of algorithmic advisory services
• SEC may impose rules on how recommendations must be presented
• SEC may require specific disclosures or risk warnings
• SEC may restrict certain recommendation methodologies

10.2 State Securities Regulations

• Individual states may impose different requirements
• State regulators may require registration or licenses
• State laws may impose fiduciary duties
• State regulations may be stricter than federal rules

10.3 Data Privacy Regulations

• New privacy regulations may impose stricter requirements
• GDPR and CCPA may be modified or expanded
• Other countries may enact privacy laws affecting us
• Compliance costs could increase significantly

10.4 International Regulations

• European regulators may impose restrictions on algorithmic services
• Asian regulators may impose new requirements
• Other countries may block or restrict Uptick's services
• International compliance could become prohibitively expensive

10.5 Market Manipulation Regulations

• Regulators may impose rules on algorithmic trading
• Regulators may restrict certain trading strategies
• Market surveillance may increase
• Regulatory scrutiny of algorithmic strategies may increase

Impact of Regulatory Changes

• Uptick's Service could be restricted or prohibited
• Recommendations could be required to change
• Costs could increase, affecting pricing
• Service could be discontinued in certain jurisdictions
• You might be unable to use the service

Our Approach

We monitor regulatory developments and attempt to remain compliant. However:

• We cannot guarantee we will comply with all future regulations
• Regulatory interpretation is often unclear
• Enforcement is unpredictable
• We may not discover compliance gaps until regulators notify us

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11. Third-Party Dependency Risk

Third-Party Services We Rely On

11.1 Infrastructure Providers

• Google Cloud: Hosts our data and systems
• If Google Cloud fails, our service goes offline
• We depend on their security, reliability, and availability
• We cannot directly control their operations

11.2 Payment Processors

• Stripe: Processes payments and subscriptions
• Payment processing failures would prevent billing
• Changes to Stripe's terms could affect our service
• We depend on Stripe's continued operation

11.3 Data Providers

• Market data providers: Stock prices, volume, trading data
• Financial data providers: Corporate filings, earnings data
• News providers: Financial news and announcements
• Sentiment data providers: Social media analysis
• Macroeconomic data providers: Government economic data

11.4 Analytics Providers

• Google Analytics: Website analytics
• Customer analytics platforms: User behavior tracking
• Changes to these services could affect our operations

Dependency Risks

11.5 Data Provider Service Issues

• Third-party data providers may discontinue service
• Data quality may degrade
• Pricing may increase
• Service agreements could change unfavorably
• Alternative data sources may not be available

11.6 Infrastructure Provider Issues

• Cloud providers may experience extended outages
• Cloud pricing may increase
• Terms of service may change unfavorably
• Cloud providers may discontinue services
• Migration to another provider is expensive and time-consuming

11.7 Vendor Lock-In

• Switching providers is difficult and expensive
• Our systems are optimized for current providers
• Data migration could take months
• Service disruption is unavoidable during migration

11.8 Vendor Bankruptcy or Failure

• Any third-party vendor could fail or go bankrupt
• Failure of a critical vendor could take us offline
• We may have no alternative suppliers
• Recovery could take weeks or months

Our Mitigation

We:

• Maintain contracts with critical vendors
• Have backup plans for critical services (where feasible)
• Monitor vendor financial health and performance
• Diversify data sources where possible

However:

• We cannot eliminate dependency risk
• Single-point-of-failure risks remain
• Some services have no viable alternatives
• You should assume service disruptions are possible

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12. Summary of Risks

Investing in securities based on Uptick's algorithmic recommendations involves substantial risks:

1. Algorithm Risk: Our algorithms may contain errors or invalid assumptions
2. Data Quality Risk: Our data sources may contain inaccuracies or be outdated
3. Market Risk: Securities can decline significantly regardless of recommendations
4. Tail Risk: Extreme, unpredictable events can cause massive losses
5. Backtesting Bias: Past performance may not predict future performance
6. No Human Review: No human checks whether recommendations are suitable
7. Limited Scope: We do not provide comprehensive financial planning
8. Cybersecurity Risk: Breaches could expose your data or lead to identity theft
9. Operational Risk: Service disruptions could occur; service could be discontinued
10. Regulatory Risk: New regulations could restrict or eliminate our service
11. Third-Party Risk: Failures by vendors could disrupt our service

The Bottom Line

You should assume that any securities recommended by Uptick could decline significantly in value, and you could lose most or all of your investment. You should only invest capital you can afford to lose completely. Before investing based on any Uptick recommendation, you should:

• Conduct your own due diligence
• Consult with a qualified financial adviser
• Assess suitability for your specific situation
• Ensure you understand the risks
• Consider your risk tolerance and time horizon

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13. Important Disclaimers

Investment Risk Disclaimer

Investing in securities involves risk of loss. Past performance does not guarantee future results. You could lose most or all of your investment. All investments are subject to market risk and may decline in value.

No Investment Advice

Uptick does NOT provide investment advice, investment recommendations, or financial planning services. Our recommendations are algorithmic outputs provided for informational purposes only. They do not constitute investment advice tailored to your specific situation.

Not a Fiduciary

Uptick does NOT act as your investment adviser or fiduciary. We have no legal duty to act in your best interest. You are solely responsible for determining whether any recommendation is suitable for you.

Not an Investment Adviser

Uptick is NOT a registered investment adviser with the SEC or any state regulator. We do not provide investment advisory services. See our Terms of Service for additional disclaimers.

Consult Professionals

Before making any investment decision based on Uptick's recommendations, you should consult with:

• A qualified financial adviser or investment professional
• A tax professional regarding tax implications
• An attorney regarding legal considerations
• Insurance and risk management professionals

No Guarantee

There is no guarantee that Uptick's recommendations will be accurate, suitable, or profitable. We make no warranties regarding the performance of recommended securities.

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14. Additional Resources

• Terms of Service: https://uptick.ai/terms-of-service
• Privacy Policy: https://uptick.ai/privacy-policy
• How Uptick Works: https://uptick.ai/how-it-works
• Investment Adviser FAQ: https://uptick.ai/investment-adviser-faq

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15. Contact Information

For questions about this Risk Disclosure Statement, please contact:

Email: contact@uptick.ai

Mailing Address: Uptick, Inc. Attn: Legal Team 1120 Avenue of the Americas Fourth Floor New York, NY 10036 United States

Response Time: We will respond to inquiries within 30 days.

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END OF RISK DISCLOSURE STATEMENT

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