Risk Disclosure Statement

Trading in financial markets using algorithmic strategies involves substantial risk, and may not be suitable for all investors. SYSSTRA provides services that allow investors to code, backtest, and deploy trading strategies. However, algorithmic trading is subject to multiple risks, including technological failures, market volatility, liquidity constraints, and unpredictable events.

By using the algorithmic analysis and / or trading services offered by SYSSTRA, you acknowledge and accept the following risks:

1. SYSSTRA is a Technology Provider, Not an Investment Advisor

SYSSTRA does not provide investment advice or financial recommendations. Investors must independently assess trading strategies and make their own decisions. The information provided is purely for informational purposes and should not be regarded as an offer to sell or a solicitation of an offer to buy securities.

2. Risks of Using Internet-Based Technology

The reliance on internet-based platforms introduces technological risks, which may impact the effectiveness of trading strategies. These include:

• Software Failures: Algorithmic models depend on programming code, which may contain errors or unforeseen bugs affecting execution.
• Infrastructure Risks: Server downtime, connectivity issues, or data feed disruptions can lead to unexpected trading outcomes.
• Latency Risks: Delays between order placement and execution may result in unintended losses or missed opportunities.

3. Risks in Coding, Backtesting, and Deploying Strategies

Algorithmic trading strategies rely on historical data and assumed market conditions, which may not always reflect future realities.

• Backtesting Limitations: Past performance does not guarantee future success, and results generated from backtests may not be replicable in live trading.
• Data Integrity: Errors in market data can distort trading signals, leading to inaccurate executions.
• Market Behaviour: Algorithmic strategies may fail to adapt to unforeseen price movements, liquidity changes, or regulatory shifts.

4. Risks of Engaging in Live Algorithmic Trading

Live trading carries additional risks beyond back testing simulations. Investors should be aware of the following:

• Execution Failures: Orders may be rejected due to margin requirements, liquidity constraints, or exchange outages.
• Broker and API Risks: Trading via broker APIs introduces dependencies, and any failures in their infrastructure can disrupt trading operations.
• Market Volatility: Flash crashes, unexpected economic events, or abrupt price swings can lead to large losses.

5. No Guarantee of Performance or Returns

Algorithmic trading strategies are subject to unpredictable market conditions, execution timing issues, and slippage. There are no guarantees of profitability, and losses may occur faster in algorithmic trading than in traditional manual trading methods.

6. Security & Cyber Risks

Algorithmic trading systems rely on internet-based technologies, which are vulnerable to hacking, cyber threats, and unauthorized access. Any security breaches can lead to strategy manipulation, compromised brokerage accounts, or financial loss.

7. Investor, Company, Individual Responsibility

It is the investor’s, companies, or individual sole responsibility to:

• Perform independent due diligence before engaging in algorithmic trading.
• Monitor the performance of analysis, deployed strategies and ensure compliance with regulatory guidelines.
• Understand the risks associated with technical failures, market instability, and liquidity constraints.

By proceeding with SYSSTRA's analysis and / or algorithmic trading services, you acknowledge that you have reviewed, understood, and accepted the risks associated with automated trading. SYSSTRA shall not be held liable for losses arising from trading strategies, execution failures, or market disruptions.