To understand the difference between manual and algorithmic trading, you may consider the following aspects:AspectManual TradingAlgorithmic TradingDecision-Making ProcessHuman traders analyse markets, news, indicators, and more for decisions.Computer algorithms follow predefined rules and criteria for decisions.ExecutionTraders manually input orders into the trading platform.Trades are automatically executed by the algorithm once signals are generated.Emotional FactorsEmotions like fear and greed can impact decision-making.Emotion-free trading; decisions are based on objective criteria.AdaptabilityTraders can quickly adjust strategies based on market changes.Algorithms execute trades consistently without human intervention.Time CommitmentRequires continuous monitoring during trading hours.Operates 24/7 without constant human presence.ConsistencyDecision-making can vary due to human biases.Trades are executed consistently according to predefined rules.Speed and EfficiencyExecution speed depends on human capabilities.Trades can be executed at high speeds, reducing slippage.BacktestingLimited ability to backtest strategies with historical data.Backtesting allows the evaluation of strategies before deployment.Risk ManagementDecision-making is influenced by emotions, impacting risk management.Risk management is rule-based and consistent.Learning CurveRequires an understanding of technical and fundamental analysis.Requires programming skills and quantitative finance knowledge.FlexibilityFlexibility in decision-making and strategy adjustments.Limited flexibility once the algorithm is set up.There are many reasons to believe that algorithmic trading has some clear advantages over manual trading. However, it is equally important to understand the risks associated with both forms of trading. You can read about things to be cautious about in algo trading here. What are the potential risks or challenges of algo trading?