Step 1: Accessing TradingView
Start by navigating to the TradingView website.
A link is typically provided in the video description for easy access. The great thing about TradingView is that it offers a completely free platform for users, making backtesting accessible without any subscription fees. This ensures that anyone can test out strategies, regardless of their budget.
Step 2: Selecting a Security
After accessing TradingView, choose a security to test your strategy. TradingView supports a variety of financial instruments, including stocks, forex, and cryptocurrencies. For instance, you can test strategies on the Vanguard S&P 500 ETF (VOO) to evaluate their performance against a broad market index.
To select a security:
- Click on the "Chart" option at the top of the page.
- In the search box, type the ticker symbol or name of the security you wish to analyze.
- Select the appropriate security from the dropdown menu.
Step 3: Accessing the Pine Editor
The Pine Editor is TradingView's scripting environment, where you can create custom trading strategies using Pine Script language.
To access the Pine Editor:
- Look for the tab labeled “Pine Editor” at the bottom of your TradingView chart interface.
- Click this tab to open the Pine Editor where you will input the code for your strategy.
Step 4: Coding Your Trading Strategy
In the Pine Editor, you'll need to write the code that defines your trading strategy.
This involves specifying the conditions for entering and exiting trades, as well as any parameters you want to optimize. Let's go through creating a simple moving average strategy.
- Start by naming your strategy, for example: strategy("Simple Moving Average Strategy")
- Define the variables for your moving averages:
- ema20 = ema(close, 20)
- ema50 = ema(close, 50)
- Set the conditions for long and short entries:
- long = ema20 > ema50
- short = ema20 < ema50
This code sets up a strategy that uses a 20-day and 50-day exponential moving average (EMA) to generate trading signals.
Step 5: Adding Entry Points
Once you’ve defined the basic strategy, you need to specify when the strategy should enter trades.
This involves using the strategy.entry function, which signals the bot to enter a long or short position based on your defined conditions. Below is how to define the entry points for long and short positions:
- Enter a long position when the condition 'long' is met:
- strategy.entry("Long", strategy.long, 1000, when = long)
- Enter a short position when the condition 'short' is met:
- strategy.entry("Short", strategy.short, 1000, when = short)
In this code, the strategy.entry function defines when to enter long or short positions, using the conditions set earlier (long and short) to trigger the entries.
Step 6: Specifying Exit Points
You also need to specify the conditions under which the strategy should exit trades. This is done using the strategy.close function, which tells the bot when to close an existing position. Here’s how to close long and short positions:
- Close a long position when the condition 'short' is met:
- strategy.close("Long", when = short)
- Close a short position when the condition 'long' is met:
- strategy.close("Short", when = long)
These lines of code ensure that the strategy exits positions when the moving averages cross in the opposite direction.
Step 7: Setting the Backtesting Timeframe
It’s essential to set the timeframe over which you want to backtest your strategy. This allows you to see how the strategy performs during different market conditions. To set the backtesting timeframe:
- Define start and end variables using the timestamp function:
- start = timestamp(2021, 1, 1, 0, 0)
- end = timestamp(2021, 8, 1, 0, 0)
- Use an if statement to ensure the strategy only trades within this timeframe:
- if time >= start and time <= end
By restricting the timeframe, you can focus on specific periods of market activity and get a more accurate assessment of your strategy’s performance.
Step 8: Running the Backtest
Once you've coded your strategy and set the timeframe, it's time to run the backtest and analyze the results. To run the backtest:
- Click the "Add to Chart" button to apply the strategy to your chart.
- Open the “Strategy Tester” tab at the bottom of your screen.
This will initiate the backtest, and TradingView will display the results in the Strategy Tester tab.
Step 9: Analyzing Results
The Strategy Tester tab provides detailed information about your strategy's performance. Look at the key metrics like net profit, total closed trades, profit factor, and max drawdown. You can analyze the equity curve to see the strategy’s performance over time and use the list of trades to identify specific instances where the strategy succeeded or failed. By reviewing these metrics, you can determine the strengths and weaknesses of your strategy and make informed decisions about how to improve it.