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What is backtesting in crypto?
Backtesting in crypto refers to the process of evaluating a trading strategy or investment approach using historical market data. It involves simulating trades and analyzing the performance of a strategy based on past market conditions. By testing a strategy against historical data, traders and investors can gain insights into how it would have performed in the past and assess its potential effectiveness in the future.

To conduct a backtest in crypto, traders typically use historical price data, often from cryptocurrency exchanges, and apply their strategy's rules and parameters to generate hypothetical trades. The process involves calculating the strategy's returns, risk metrics, and other performance indicators. Traders can then assess the profitability, drawdowns, and risk-reward characteristics of their strategy over the selected historical period.

Backtesting allows traders to refine and optimize their strategies by analyzing past performance and identifying strengths and weaknesses. It can help in evaluating different trading algorithms, parameters, or timeframes. However, it is important to recognize that backtesting has limitations, as it relies on historical data that may not accurately reflect future market conditions. Nonetheless, it remains a valuable tool for traders to gain insights and make more informed decisions in the cryptocurrency market.
Backtesting in crypto refers to the process of testing a trading strategy using historical market data to evaluate its potential effectiveness. Traders simulate how a strategy would have performed in past market conditions, analysing key metrics like profitability, risk, and win rate. This helps identify strengths and weaknesses before risking real capital. Backtesting requires reliable historical price data, clear trading rules, and tools like TradingView, Python, or specialised backtesting software. While useful, backtesting has limitations—past performance doesn’t guarantee future results, and factors like slippage, liquidity, and sudden market shifts can affect real-world outcomes. Still, it remains a crucial step in developing and refining crypto trading strategies.

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