How much data is available for Deep Backtesting? (2024)

Deep Backtesting allows users to backtest strategies on all data available in TradingView's data storage. The length of the historical data can vary depending on the selected symbol and chart timeframe. On daily and daily-based timeframes, charts display all available data, and the Deep Backtesting mode uses this same data. On intraday timeframes, TradingView keeps a limited amount of data. As a result, the length of the data on intraday timeframes may be shorter than on daily ones.

Please note that the maximum length of historical data per calculation is 2 million bars. If the period used for a backtest covers more than 2 million bars, the strategy will execute on the most recent 2 million bars within the selected period. This limit cannot be extended for now due to technical reasons. Two million bars provide quite a lot of data, and you can use a higher timeframe if you need to test your strategy over a lengthier date range.

If no data exists within the selected Deep Backtesting period, the Strategy Tester will return the error "No data for the selected period and chart timeframe". If only some intraday data is available within the selected period, the strategy will calculate in its typical fashion.

How much data is available for Deep Backtesting? (2024)

FAQs

How much data is available for Deep Backtesting? ›

Please note that Deep Backtesting is only available to Premium users and professional traders, and the maximum number of available bars for backtesting is 2 million.

How much data should you backtest? ›

Aim for at least 200 trades in your backtest, but 500-600 offers even greater reliability for informed decision-making. Beware of "Data Fatigue": Excessively long backtests can mislead you by including drastically different market regimes.

What is the sample size for backtesting? ›

Evaluating Backtesting Results

When it comes to evaluating the results of your backtest, we can focus on a few important performance and trading metrics. However, it is important to remember that a sample size of at least 30 (ideally 50) trades is necessary to get statistically significant results.

What is the data limit for TradingView? ›

While Professional plans offer more historical intraday data: Expert plans have access to 25000 bars, Elite plans have access to 30000 bars, and Ultimate plans can have the maximum number of historical intraday bars, which is 40000. The current limits for each plan can be found on the pricing page in the Data section.

What is the backtest limit on TradingView? ›

Please note that the maximum length of historical data per calculation is 2 million bars. If the period used for a backtest covers more than 2 million bars, the strategy will execute on the most recent 2 million bars within the selected period.

What is a good amount of data? ›

How much data do I need on my phone?
User typeMonthly data usage
Minimal use (basic browsing, messaging)Up to 2GB
Light use (social media, some video streaming)2-5GB
Regular use (frequent video streaming, many app downloads)5-10GB
Heavy use (extensive video streaming, large file transfers)10GB+
1 more row

What is a good sample size for trade? ›

To be 70% confident with a projection that has a 5% margin of error we need 101 trades in our sample. To be 70% confident in your statistical result, you need at least 107 trades in your test sample; to be 99% confidence you need 666 trades.

What is a good sample size for analysis? ›

Many statisticians concur that a sample size of 100 is the minimum you need for meaningful results. If your population is smaller than that, you should aim to survey all of the members. The same source states that the maximum number of respondents should be 10% of your population, but it should not exceed 1000.

What is the backtest ratio? ›

It is calculated as the ratio between annual returns and the Maximum Drawdown the strategy exhibits (Return/Max DD) during the backtest period. For example, if a backtest report for a strategy illustrates a return of Rs 1,00,000 and a maximum drawdown of Rs 15,000, the R/MDD or Calmar Ratio is 6.66.

Is 200 participants a good sample size? ›

As a general rule, sample sizes of 200 to 300 respondents provide an acceptable margin of error and fall before the point of diminishing returns.

How far does TradingView data go? ›

For all seconds-based timeframes, Expert plans have access to 120 days of data, Elite plans have access to 150 days of data, and Ultimate plans can have the maximum length of seconds-based data in Bar Replay, which is 180 days.

What platform is better than TradingView? ›

The best overall TradingView alternative is eToro. Other similar apps like TradingView are MetaTrader 5, Binance Broker, E*Trade Web Platform, and Kite. TradingView alternatives can be found in Financial Analytics Software but may also be in Brokerage Trading Platforms or Investor Relationship Management Software.

What is limit in TradingView? ›

The current limits for the equity index futures are + and - 7%, 13%, and 20% from the previous day's settlement price. If price reaches these levels trading is either paused briefly or for the remainder of the day.

How to deep backtest on TradingView? ›

How does Deep Backtesting work?
  1. Add a strategy to the chart.
  2. Make sure all settings are correct.
  3. Switch to the Deep Backtesting mode.
  4. Select the time interval on which you want to calculate and generate the report.

How much backtesting is enough? ›

I Personally do back test for 6 months to 1 year. some strategies will not be favourable when you go beyond 1 year+. Atleast 6 months is mandate for a good strategy, If a strategy gets max number of profitable trades in last 6 months thats enough.

Is TradingView good for backtesting? ›

In summary, TradingView provides powerful tools for both manual and automated backtesting. However, remember that backtesting is just one part of strategy development. Past performance doesn't guarantee future results, so always trade with caution and proper risk management.

What is a good backtesting result? ›

A well-conducted backtest that yields positive results assures traders that the strategy is fundamentally sound and is likely to yield profits when implemented in reality. In contrast, a well-conducted backtest that yields suboptimal results will prompt traders to alter or reject the strategy.

How do you backtest efficiently? ›

Here are some tips to ensure effective backtesting:
  1. Consider different market scenarios. ...
  2. Aim to keep volatility as low as possible. ...
  3. Backtest using a relevant set of data. ...
  4. Customise backtesting parameters to meet your specific needs to get accurate results. ...
  5. Be careful about over-optimisation.

How long does it take to backtest 100 trades? ›

In other words, there is a very high chance that the strategy is a profitable trading strategy. It takes around 1 hour to back test a strategy 100 times.

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