Risk Disclosure — Skala Dohodov

CRITICAL NOTICE: Trading digital assets, cryptocurrencies, contracts for difference (CFDs), and foreign exchange instruments carries a very high level of market risk and can result in the rapid and total loss of your invested capital. You should never commit funds that you cannot afford to lose completely.

1. Purpose of this Disclosure

This Risk Disclosure Notice is provided by Skala Dohodov to inform prospective users of the substantial financial and operational hazards inherent in digital currency trading and algorithmic software utilization. This document cannot disclose all conceivable risks or aspects of the financial markets, but serves as a clear outline of major volatility, technological, and liquidity variables.

Prior to opening an account, utilizing our software, or deploying capital through partner brokerages, you must assess whether algorithmic digital asset engagement aligns with your personal investment objectives, experience level, and financial situation.

2. Extreme Volatility of Cryptocurrency Assets

Cryptocurrencies, including Bitcoin (BTC), Ethereum (ETH), and emerging alternative tokens, exhibit price volatility substantially higher than traditional asset classes such as equities, sovereign bonds, or major fiat currencies. Market quotations can fluctuate by tens of percent within hours or minutes.

Price swings are driven by unpredictable external developments, including regulatory interventions, global geopolitical friction, shifts in protocol governance, sudden liquidity withdrawal, and broader market sentiment. High volatility can trigger sudden liquidations of open market positions.

3. Algorithmic and Automated Execution Risks

Skala Dohodov provides algorithmic software interfaces that process quantitative indicators, historic volatility calculations, and automated execution signals. You must acknowledge the following critical constraints:

No Guaranteed Outcomes: Algorithmic mathematical modeling is fundamentally probabilistic. No mathematical strategy, artificial intelligence model, or indicator can guarantee profitable trades or eliminate market risk.
Backtesting Limitations: Performance simulations, calculators, and backtested results displayed across the Platform represent theoretical mathematical models. Past or simulated performance is not an indicator of future market results.
Market Anomaly Risk: Machine learning algorithms are developed based on historical distributions. In conditions of abnormal market turbulence, flash crashes, or liquidity fragmentation, algorithmic assumptions can fail, leading to unexpected financial drawdowns.

4. Leverage and Margin Hazards

If you choose to trade digital asset derivatives or CFDs through third-party brokerages using leverage, both gains and losses become magnified. Trading on margin means that even a minor unfavorable market movement may result in the total liquidation of your collateral balance. You may be required to deposit supplementary funds on short notice to avoid automatic position closure.

5. Technical, Network, and Latency Hazards

Operational reliance on algorithmic platforms entails technological risks that lie beyond our direct operational control:

Latency and Slippage: Market price execution at external venues is subject to execution latency. The actual executed order price may differ significantly from the displayed algorithmic quote (slippage).
System Outages: Disruptions to your internet connection, cloud infrastructure outages, hardware failures, or downtime at exchange API endpoints can prevent order modification or emergency stop-loss execution.
Cybersecurity and Smart Contract Hazards: Digital asset networks and decentralized bridges remain subject to protocol bugs, cyber-attacks, and malicious exploits.

6. Absence of Regulatory Depositor Protection

Cryptocurrency assets are largely unbacked by central banking institutions. In many jurisdictions, including the United Kingdom, trading unbacked cryptoassets does not fall under statutory compensation schemes, such as the Financial Services Compensation Scheme (FSCS) or Financial Ombudsman Service (FOS) dispute resolution. Investors have no recourse to public compensation funds in the event of platform insolvency or trading losses.

7. Independent Professional Advice

Skala Dohodov operates strictly as a technology and mathematical modeling platform. We do not evaluate your personal financial standing, nor do we offer bespoke advice. You are strongly advised to seek independent advice from a certified, regulated financial advisor before committing capital to speculative cryptocurrency markets.

8. Contact Regarding Risk Inquiries

For questions concerning the platform's computational methods or risk disclosures, contact us via email at [email protected] or at our registered address: Fenchurch Street 135, LS1 5AT Leeds, United Kingdom.