NEW Backtest more than crypto!
Dive into the vast world of Forex, Stocks, Indices, ETFs, Commodities, and more.
Safeguard your portfolio, refine your trading algorithm, and explore various assets risk-free. Gain confidence in your strategies with detailed statistics and advanced analytics, allowing you to save both time and capital.
in trading volumes
orders executed
crypto exchanges integrated
(more to come)
countries
Whether you’re fine-tuning an existing Investment Strategy or creating a new one, you have the flexibility to backtest using a wide array of close-to-100 Technical Indicators, including custom ones. Our user-friendly Strategy Builder allows you to effortlessly design your Buy and Sell conditions by simply dragging and dropping operators. If you prefer a head start, explore our range of templates to kick start your trading journey.
NEW Backtest more than crypto! Dive into the vast world of Forex, Stocks, Indices, ETFs, Commodities, and more.
In order to start backesting, you need to select the exchange you want the test to run on. Next, choose the asset and the period for the backtesting. You have thousands of assets available to choose from to put your ideas to work.
Crypto: Our backtesting platform allows you to assess crypto trading strategies by historical data analysis. This empowers you to make informed decisions before venturing into the volatile world of cryptocurrencies, mitigating potential risks while optimizing your returns.
Stocks: Validate your stock trading ideas with precision by leveraging our powerful backtesting tools. Dive deep into historical stock market data to fine-tune your portfolio, enhancing your ability to identify promising investment opportunities and align your strategy with market trends.
Forex: Gain a competitive edge in the forex market by backtesting your trading strategies using our software. This invaluable tool helps you understand the currency market behavior, refine your forex trading approach, and boost your profitability.
ETFs: Diversify your investments with confidence through ETF backtesting capabilities. By analyzing historical ETF data, you can identify optimal entry and exit points, ensuring that your ETF portfolio aligns seamlessly with your investment objectives.
Indices: Our backtesting platform equips you to dissect index trading strategies effectively. Analyze historical index data to adapt your portfolio to global market trends, enabling you to maximize returns and manage risk more efficiently.
Commodities: Evaluate the effectiveness of your commodity trading strategies using our advanced backtesting tools. By leveraging historical commodity data, you can refine your approach, reduce risk, and enhance your overall trading performance.
You get instant results no matter the period of time you chose for the backtest. Compare your strategy with Buy and Hold, check out the Net Profit, ROI % and advanced Statistics to get a deeper understanding of your data. See your trades on the chart and plot indicators to identify optimisation opportunities. To make it even more convenient, everything is based on your favourite TradingView charts.
If you are looking for different results, restart the process and change your setup. Use the data to spot easier what you could have done differently. Change parameters or add more indicators as filters to optimize until you find the winning combination.
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Read more about backtesting
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https://www.vestinda.com/wp-content/uploads/2021/03/VESTINDA-How-to-build-the-best-crypto-trading-strategy.png 423 1210 Alin Breabăn https://www.vestinda.com/wp-content/themes/vestinda/img/v-logo-header-color.svg Alin Breabăn2021-08-16 13:00:112022-10-13 12:08:44How to Create the Best Crypto Trading StrategyFor how long should I backtest a trading strategy?
It depends on the number of trades generated by your trading strategy. If only a few trades are made every month, it means the strategy is a long term one, so you should backtest on a longer period in order to have relevant results. However, we advise you to backtest the strategy on multiple periods of different lengths, to get a proper view on the performance of your strategy.
How do you effectively backtest?
After you build a trading strategy, you have to test it on different assets and different periods. This is because you can be surprised by how a strategy with poor results on an asset is a really profitable one on another asset. In order to effectively backtest, it’s important to evaluate the results and iterate on your strategy based on them.
These are the most important performance statistics you should look at:
How reliable is backtesting?
Backtesting can give really useful insights on how a trading strategy might perform. It helps you invalidate very fast wrong assumptions, test technical indicators in just a few seconds and get analytics on how the strategy would have worked in the market.
If a strategy performs well in backtesting, it gives you the confidence to try it out in live trading. However, it’s important to be aware of the backtesting’s limitations as well. We’re all familiar with the message: “Past performance is no guarantee of future results”. This is true because market conditions can significantly change, so a strategy that was good in the past may not perform well in the future.
Also, you need to make sure that trading fees are included in the backtesting’s results and to understand that during live trading, strategy’s profitability can be affected by slippages and delayed order executions.
What is the backtest method in forex?
A backtest in forex is a process that involves evaluating the historical performance of a trading strategy or system by applying it to past price data. Traders use backtesting to assess how their strategy would have performed in previous market conditions, helping them gauge its potential effectiveness. This analysis typically includes factors such as entry and exit points, position sizing, risk management, and profit and loss calculations.
What are the limitations of backtesting?
Backtesting has limitations, such as assuming past market conditions will repeat, not accounting for slippage and transaction costs, and being sensitive to the choice of historical data. It is important to take the limitations into consideration while going ahead to backtest.
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