Using AI to Create Effective TradingView Trading Strategies
We'll now guide you through using AI to create effective TradingView trading strategies.
Benefits: Generates Pine Script code with fewer mistakes. Subscribe for one month to set up your strategies, and reactivate only when you need to make changes.
Alternative Free AI Option:
groq.com:
Note: This option is free but tends to produce more errors compared to ChatGPT Plus.
Overview of TradingView Strategies
TradingView strategies use Pine Script as their language framework. We'll leverage ChatGPT to create the Pine Script code. Ensure you have ChatGPT 4o activated, as it's the most powerful model.
Step-by-Step Guide to Setting Up a Pine Script Trading Strategy
How to Set Up Pine Script in TradingView
Copy the Appropriate Pine Script Template:
It is best to start with the testing template to thoroughly backtest your strategy. The next steps in this guide will be written as if you used the testing template.
Step 1: Generate Pine Script Code Using AI
Use ChatGPT 4o (requires ChatGPT Plus membership) or groq.com (free option with Llama3-70b model).
Ensure you have access to ChatGPT Plus or groq.
Input the following text:
Replace the (input_strategy_variables) with your strategy specification
Example Strategy Specification:
For simplicity: "when stochastic and RSI are below 30, buy; and when stochastic and RSI are above 70, sell."
Click the arrow on the right of the message box to start generating the code.
Once complete, copy all of the code generated.
Using ChatGPT 4o to create Pine Script TradingView Strategy Step 2: Implement the Code in TradingView
Open Pine Editor in TradingView:
At the bottom of the screen, click on "Pine Editor."
Click on "Open" in the Pine Editor.
Select "New Strategy" from the dropdown menu.
Remove any default code in the new script and paste the generated code from ChatGPT or groq.
Name and Save the Strategy:
Click on "Untitled script" to rename your strategy.
Click "Save," then "Add to Chart." This will automatically open the backtesting panel for the token and timeframe you're currently on.
Step 3: Obtain the Pair Address for the Token you wish to apply strategy
Type the name of the token you want to trade into the search bar.
Choose the appropriate pool for your token.
On the left side of the screen, locate and click on the pair address to copy it to your clipboard.
Receive $ANDY Pair Address from DexTools Search for the Pair Address in TradingView:
Click the search icon on the top left of the screen.
Paste the pair address into the search bar.
Select the chart title that ends in .USD. This ensures you are using the USD pair, which avoids potential issues with WETH charts.
Paste pair Address in TradingView and Select .USD $ANDY Chart Step 4: Analyzing the Strategy
Make sure you are backtesting the tokens you wish to automate trading. The backtest results for that token will be displayed.
Use the testing script to change the backtest start and end time to determine if it's recently profitable too. The following section of the user guide will go into more detail on back testing.
If the strategy doesn’t generate any orders, consider the following adjustments:
Token Newness: The token may be new.
Strategy Strictness: The strategy might be very strict.
Backtest Date Range: The backtest date range could be too short or not configured correctly.
Adjust Timeframes for More Trades:
Smaller timeframes usually generate more trades. For example, switching from a 1-day to a 1-hour timeframe might increase the number of trades.
Troubleshooting Tips
No Orders Generated: If no orders are generated, it might be due to the token's novelty, the strategy’s strictness, or an incorrectly configured backtest date range. Adjust the parameters and timeframe accordingly.
Adjusting Timeframes: Smaller timeframes typically open up more trades, which can make the strategy more profitable.
Adjust Timeframe to Generate Orders By following these detailed steps, you can create effective TradingView trading strategies using AI.
Check the next section of the user guide for better detail into backtesting.
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