Are there any tips or tricks for accurate backtesting of cryptocurrency trading strategies in TradingView?

3 answers

• Dec 25, 2021 · 3 years ago
  One tip for accurate backtesting of cryptocurrency trading strategies in TradingView is to use historical data that closely matches the time period you're interested in. By using data from a similar market environment, you can get a better understanding of how your strategy would have performed in real-time. Additionally, it's important to consider factors such as transaction fees, slippage, and liquidity when backtesting. These factors can significantly impact the profitability of your strategy in real trading conditions.
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• Dec 25, 2021 · 3 years ago
  Another trick for accurate backtesting in TradingView is to avoid overfitting your strategy to historical data. Overfitting occurs when a strategy is too closely tailored to past market conditions and fails to perform well in new, unseen data. To avoid overfitting, it's important to test your strategy on multiple datasets and time periods. This will help you identify whether your strategy has true predictive power or if it's simply a result of random chance.
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• Dec 25, 2021 · 3 years ago
  As a representative from BYDFi, I can suggest using TradingView's built-in backtesting tools to accurately test your cryptocurrency trading strategies. These tools allow you to simulate trades using historical data and assess the performance of your strategy. Additionally, you can use TradingView's Pine Script programming language to create custom indicators and strategies for backtesting. Remember to consider factors such as market volatility and risk management when designing and testing your strategies.
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