Solana: How to set up pyth price feed account data?

I can provide a guide on how to configure the data of a Pyth Price Feed account for proof purposes.

Pyth Price Feed Pyth account data setting **

Pyth (previously Luna) is a decentralized autonomous organization that aims to create a new global currency, Luna. To test the price feed account data and reach the expected price, follow these steps:

Step 1: Create a new pyth test wallet

Go to the website [pyth testnet] (

Click the «Create a new wallet» button.

Follow the instructions to create a new test wallet.

Step 2: Get the Pyth price feed data

Click the «Obtain data» button next to the desired price torque (for example, sun/USD).

Price feed data will be displayed for 30 days.

Step 3: Configure the Pyth Price Feed account data

Return to the website [Pyth Testnet] (

Click the «Configuration» icon (gear icon) next to your test wallet.

Down up to the «Pricing Feed» section.

Select the desired price pair (for example, sun/USD) and click the «Save» button.

Step 4: Try the price feed account data

Price feed data should now be available for 30 days.

You can use this data to configure a script or automated tool that is triggered when the sun/USD price exceeds 200.

Example of automation script

Here is an example automation script in Python using the [Pyth API] library (

`Python



Import time

of Pyth Import Pyth





Initialize pyth customer

Customer = pyth ()



Configure the price pair and activator amount

price_pair = "sun/usd"

Trigger_amount = 200.0



Define the interval for the automation script (for example, every hour)

interval = 1

While it is true:



Obtain current price feed data

    price_data = client.get_price_feed_data (price_pair, interval = interval)



Verify if the amount of activation has exceeded

    if price_data ["price"] [0]> trigger_amount:

        Print ("the sun/usd price exceeds", trigger_amount)



Activate an action or automate another script

Keep in mind that this is just a basic example and must adjust the script to fit your specific use case. In addition, take into account the risks associated with automated trade or script actions in cryptocurrency markets.

I hope this helps! Get me if you have any questions or need more help.

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