Critical Bug: LaunchLab Token Swap Discrepancies
Hey guys,
We've spotted a critical issue with LaunchLab tokens on swap transactions, and we need to dive deep into this to get it sorted. It seems like there are discrepancies in the amounts being shown, and in some cases, the buys and sells appear to be flipped. This is a major concern because it directly impacts the accuracy of trade data and the user experience on our platform.
Understanding the Problem
From what we've gathered, the primary issue revolves around the incorrect representation of LaunchLab token swap transactions. Users are reporting that the amounts displayed during swaps don't match the actual values, leading to confusion and potential distrust in the system. In more severe instances, the trades are being categorized oppositely, showing a buy as a sell and vice versa.
To illustrate this, let's examine a specific signature provided by one of our users:
2iWEMsA1bp4ce5UGKj4A9pL6wLPT4ci6LJuqewbAbvDTCREWSrZcDecmjMDceQ8afZZGT4qTm3vb7hoWRU1nrt3k
This particular transaction was a 1.7 SOL sell, but the trade object is incorrectly displaying it as a buy for a staggering 32090 SOL. This significant discrepancy highlights the severity of the issue and the urgent need for a resolution. Let’s break down the data we're seeing to get a clearer picture.
Analyzing the Trade Object
Here’s the trade object in question:
{
"trades": [
{
"type": "BUY",
"inputToken": {
"mint": "So11111111111111111111111111111111111111112",
"amount": 32090.845495762,
"amountRaw": "32090845495762 (14,083,679,962,355,554)",
"decimals": 9,
"balanceChange": "1234290 (19,088,016)",
"sourceBalance": {
"amount": "28647565541 (2,775,745,713,473)",
"uiAmount": 28.647565541,
"decimals": 9
},
"sourcePreBalance": {
"amount": "28646331251 (2,775,726,625,361)",
"uiAmount": 28.646331251,
"decimals": 9
}
},
"outputToken": {
"mint": "54g1ouuZzEDL3uNCgPQqapoZC7LSV7fyBvh79QBrbonk",
"amount": 1769.401153,
"amountRaw": "1769401153 (100,550,054,227)",
"decimals": 6,
"balanceChange": "1769401153 (100,550,054,227)"
},
"fee": {
"mint": "So11111111111111111111111111111111111111112",
"amount": 0.02240883,
"amountRaw": "22408830 (574,654,512)",
"decimals": 9
},
"user": "EQeWjp5LRgyncR8wKGWeP7HoP7PePouGFVgL5SgyLjf5",
"programId": "LanMV9sAd7wArD4vJFi2qDdfnVhFxYSUg6eADduJ3uj",
"amm": "RaydiumLaunchpad",
"route": "",
"slot": 361422242,
"timestamp": 1755734255,
"signature": "2iWEMsA1bp4ce5UGKj4A9pL6wLPT4ci6LJuqewbAbvDTCREWSrZcDecmjMDceQ8afZZGT4qTm3vb7hoWRU1nrt3k",
"idx": "1-0",
"signer": [
"EQeWjp5LRgyncR8wKGWeP7HoP7PePouGFVgL5SgyLjf5"
]
}
]
}
As you can see, the type
field is marked as "BUY," and the inputToken
amount is an incredibly high 32090.845495762 SOL. This is clearly not aligned with the user's report of a 1.7 SOL sell. The output token, 54g1ouuZzEDL3uNCgPQqapoZC7LSV7fyBvh79QBrbonk, received 1769.401153 units. This data mismatch is a red flag and points to a deeper issue within our parsing or data interpretation logic.
Potential Causes and Areas to Investigate
To get to the bottom of this, we need to investigate several potential causes. Here are some key areas we're focusing on:
- LaunchLab Program Interaction: The issue seems specific to LaunchLab tokens, so we need to scrutinize how our parser interacts with the LaunchLab program (
LanMV9sAd7wArD4vJFi2qDdfnVhFxYSUg6eADduJ3uj
). Are there unique instructions or data structures used by LaunchLab that our current parsing logic isn’t handling correctly? - Raydium Launchpad AMM: Since the
amm
field indicates "RaydiumLaunchpad," we need to examine how trades executed via Raydium Launchpad are being processed. Are there specific quirks or nuances in how Raydium Launchpad handles swaps that we're missing? - Token Decimals and Amount Conversion: Incorrect handling of token decimals could lead to significant discrepancies in amounts. We need to ensure that we're accurately converting raw token amounts to human-readable values, taking into account the correct number of decimal places for each token.
- Buy/Sell Logic: The fact that trades are being flipped (buy shown as sell) suggests a fundamental flaw in our buy/sell determination logic. We need to revisit the code that classifies trades and identify where the misclassification is occurring.
- Data Integrity: There's a chance that the data itself is being corrupted somewhere along the pipeline. We need to verify the integrity of the data from the moment it's fetched from the blockchain to when it's presented in our system.
Immediate Steps and Action Plan
We're taking this issue extremely seriously, and we have a clear action plan in place to address it. Here are the immediate steps we're taking:
- Reproducing the Issue: Our first priority is to reliably reproduce the issue. We'll use the provided signature and other examples to consistently trigger the incorrect behavior. This will allow us to test our fixes effectively.
- Code Review: We're conducting a thorough code review of the parsing logic, focusing specifically on the areas mentioned above (LaunchLab program interaction, Raydium Launchpad AMM, token decimals, buy/sell logic). We'll be looking for any potential bugs, edge cases, or areas where our logic is flawed.
- Testing and Validation: We'll implement a suite of tests to validate our fixes. These tests will cover a range of scenarios, including different LaunchLab tokens, various trade sizes, and both buy and sell transactions. We need to be 100% confident that our fixes are effective before deploying them to production.
- Monitoring and Alerting: We'll set up enhanced monitoring and alerting to detect any future occurrences of this issue. This will allow us to respond quickly if the problem resurfaces or if new issues arise.
- User Communication: We'll keep our users informed about our progress. We'll provide regular updates on the investigation and the steps we're taking to resolve the issue. Transparency is key to maintaining trust and confidence in our platform.
Community Involvement
We believe in the power of community, and we encourage anyone with insights or expertise to contribute to the discussion. If you've encountered similar issues or have any ideas on potential solutions, please don't hesitate to share them. Your input can help us resolve this problem faster and more effectively.
Specific Questions and Requests for the Community
To help us narrow down the root cause, we have a few specific questions for the community:
- Have you observed similar issues with other LaunchLab tokens? If so, can you provide the transaction signatures?
- Are there any other AMMs or platforms where you've noticed this behavior?
- Do you have any insights into the inner workings of the LaunchLab program or the Raydium Launchpad AMM that might be relevant?
Your contributions are greatly appreciated!
Deep Dive into Input and Output Tokens
Let's further analyze the input and output tokens involved in the problematic transaction to see if we can glean any additional insights.
Input Token: SOL
The input token is SOL, represented by the mint address So11111111111111111111111111111111111111112
. The data indicates an amount of 32090.845495762 SOL, which, as we've established, is highly improbable for a supposed 1.7 SOL sell. The amountRaw
field shows 32090845495762
, and the decimals
field is 9, which is standard for SOL. The balance changes and source balances appear consistent within themselves but do not align with the overall transaction narrative.
Output Token: 54g1ouuZzEDL3uNCgPQqapoZC7LSV7fyBvh79QBrbonk
The output token has a mint address of 54g1ouuZzEDL3uNCgPQqapoZC7LSV7fyBvh79QBrbonk
. The amount received is 1769.401153 with an amountRaw
of 1769401153
and decimals
of 6. This token's data needs to be cross-referenced with the LaunchLab token contract to ensure that these values are plausible given a 1.7 SOL sell transaction. We'll need to investigate the token's market price and liquidity at the time of the transaction to validate this further.
Fee Analysis
The transaction fee, paid in SOL, is 0.02240883
SOL. This fee seems reasonable for a swap transaction on Raydium. However, we need to ensure that the fee calculation and deduction are being handled correctly in our system. Incorrect fee handling could potentially skew the amount calculations and contribute to the observed discrepancies.
Implications for CXCX-AI and Solana DEX Parser
This issue has significant implications for both CXCX-AI and the Solana DEX Parser. CXCX-AI relies on accurate trade data to provide insights, analytics, and predictions. If the trade data is flawed, the reliability of CXCX-AI's outputs will be compromised. Similarly, the Solana DEX Parser is the foundation for many applications that rely on accurate DEX data. If the parser is misinterpreting transactions, it could lead to widespread problems across the Solana ecosystem.
Therefore, resolving this issue is not just about fixing a bug; it's about ensuring the integrity and reliability of our systems and the broader Solana ecosystem. We are committed to addressing this issue thoroughly and transparently.
Next Steps in the Investigation
Our next steps in the investigation include:
- Detailed Log Analysis: We will delve into the logs generated by the Solana DEX Parser during the processing of this transaction. This may provide clues about the exact point where the misinterpretation is occurring.
- Contract Interaction Simulation: We will simulate the interaction with the LaunchLab token contract and the Raydium Launchpad AMM to better understand the data flow and identify any potential inconsistencies.
- Cross-Referencing with Other Data Sources: We will cross-reference the transaction data with other data sources, such as blockchain explorers and third-party APIs, to validate our findings and ensure the accuracy of our data.
We will continue to update you on our progress and share any new findings as we move forward.
Thanks, guys, for your patience and support as we work through this! We'll keep you in the loop.