Market and loss risk
Security prices can move rapidly and unpredictably. You may lose some or all of the money invested, and leveraged or complex products can create losses beyond the initial amount.
Data risk
Market data may be real time, delayed, end-of-day, cached, temporarily outdated, incomplete, incorrectly adjusted, or temporarily unavailable depending on source, entitlement, and network conditions.
Model and AI risk
AI systems can hallucinate, misread context, repeat source errors, and produce plausible but incorrect explanations. Models can also behave differently as providers update them.
Historical and backtest risk
Past performance, correlations, samples, simulations, and backtests do not guarantee future results. Small samples, survivorship bias, look-ahead bias, overfitting, and changing market regimes can distort conclusions.
Execution and liquidity risk
Actual trades can differ from displayed prices because of spreads, liquidity, volatility, halts, slippage, latency, and order handling.
Paper trading risk
Paper accounts use virtual funds and simulated execution, not brokerage orders. Paper results are hypothetical, may omit real-world frictions, and must not be treated as evidence that the same result would have occurred with real money.
Concentration and behavioral risk
Overconcentration, excessive trading, leverage, fear of missing out, and reliance on a single tool or source can increase losses.
AI fraud awareness
Be cautious of platforms or promoters claiming that AI guarantees winners or high returns with little risk. Orvanthis should never use such claims.