Solana: Decimal precision error for token in phantom

Decimal Precision Error in Solana Phantoms: A Token Swap Issue

Swaps from a liquidity pool, one of the most common challenges you’ll face with Decimal Precision Errors. In this article, Solana’s Popular Wallet Platform.

The Problem: Decimal Precision Errors in Token Swaps

Token Swapping Involves Exchanging One Token for Another within a Liquidity Pool. When performing such an exchange, you need to multiple the input amount by the swap rate (i.E., Tokens and the Swap Rate is 2: 1 (y = x), your calculation would be:

1000 * 2 = 2000

However, when you use Phantom to Interact With A Solana Node Instead, it uses the sol to all calculations. .

The Issue: Phantom’s Decimal Precision

Phantom, user-friendly and integrated Wallet Platform on Solana, has several limitations that contribute to this issue:

• This means that when you perform decimal calculations, they are performed in terms of sol.

• No explicit rounding : Phantom does not explicitly round or truncate numbers during calculations. Instead, it performs floating-point arithmetic, which can lead to small errors due to the inherent precision limitations of binary fractions.

Mitigating Decimal Precision Errors

Token Swaps, you can take a few steps:

• Use decimal arithmetic libraries

  : consider using external libraries like decimal.js orjs-decimal.js, which provide support for Arbitrary-Precision Decimal arithmetic. These libraries allow you to perform calculations with high precision without converting numbers to sol to sol to sol to sol to sol to sol to sol to sol to sol to sol to sol to sol

• Round inputs and outputs explicitly : This helps ensure accuracy and reduces the likelihood of Decimal Precision Errors.

. Check the «Rounding» option in the Settings Menu, which can help improve accuracy.

Conclusion

Decimal Precision Errors are common when swapping tokens on Solana using Phantom. The undercuttering of the underlying issues and application workarounds Remember to test thoroughly and monitor performance for optimal results.

Example Code

Solidity (Solana’s Program Language) That showcases how decimal arithmetic works with Phantom:

« Solidity

Pragma Solidity ^0.8.0;

Tokenswap contract {

// Define the Input and Output Token Addresses

Address Public Xtokenaddress;

Address Public Ytokenaddress;

// Define the Swap Rate as a fraction (e.g., 2: 1)

uint256 public swaprate = 2000; // Equivalent to 1000 * 2

Function Swaptokens (Uint256 _xamount, Uint256 _yamount) Public {

// Calculate the Output Amount Using Decimal Arithmetic

uint256 outputamount = (_xamount * swaprate) / (swaprate – 1);

// Round the Output Amount to 18-19 Digits for Readability

outputamount = outputamount.

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