Update CSV With ATH Market Cap Data (Solana Meme Coins)

@katepesic

Hello, I can help you complete the two CSV files by checking each Solana token contract address and identifying the highest market cap reached after the provided call time. I will keep the original CSV structure unchanged and add the required column: MC After Call ATH For each token, I will verify the data using reliable sources such as DexScreener, GeckoTerminal, Birdeye, or GMGN, depending on data availability for each contract address. If any token cannot be found or reliable data is not available, I will leave the field blank and provide a separate list of missing or unavailable tokens. Deliverables: • Two completed CSV files with the new ATH column filled in • List of missing/unavailable tokens, if any • Short note explaining the data source used Estimated completion time: 1–2 days, depending on the number of rows. Kind regards, Katerina

@nareshk44

✅ Hello, I’m Naresh. With extensive experience in cryptocurrency data analysis, Excel/CSV processing, and large-scale data validation, I can accurately enrich your CSV files with post-call ATH market cap values while preserving the original structure of the datasets. ➡️ I can deliver: ✔ Analysis of each Solana token using the provided contract addresses ✔ Verification of the highest market cap achieved strictly after the recorded call time ✔ Addition of the new "MC After Call ATH" column without altering existing data ✔ Cross-referencing using reliable sources such as DexScreener, GeckoTerminal, Birdeye, and other available market data providers ✔ Separate list of tokens that cannot be located or verified ✔ Updated CSV files maintaining the original formatting and column order ✔ Quality checks to ensure ATH values are based on post-call performance only ✔ Brief documentation outlining the data source(s) and methodology used My focus will be on accuracy, consistency, and transparent verification of each ATH value to ensure reliable results. Please open the chat for further discussion. Thanks & regards, Naresh

@maxscender

I can help you automate this data enrichment process. To ensure accuracy, I will use a Python script utilizing the DexScreener or Birdeye APIs to fetch historical OHLCV data for each Contract Address. The script will filter for the maximum market cap specifically within the timestamp range following your "Call Time." This approach avoids manual entry errors, handles large datasets efficiently, and allows me to generate a secondary log file for any tokens that are either missing from the APIs or have no recorded trading history after the call time. Your original CSV structure will remain preserved.

@HasanainAR

I read your project requirements and would be thrilled to collaborate with you. Let’s connect to discuss further

@nemanjam61

Hello, I have experience with developing checklist functionalities for short-term rental management systems and similar platforms. I've implemented features like customizable checklists, real-time status updates, and user notifications to streamline operations and enhance user engagement. For your project, I can build an intuitive checklist that allows property managers to add or modify tasks dynamically while integrating with existing booking systems. A technical scenario could involve automating reminders for cleaning tasks based on booking calendars. Let's discuss!

@goranm16

Hi, I can help complete both CSVs by checking each Solana contract against a reliable market data source and calculating the highest MC reached only after the given call time. I’d start by validating the CSV structure and timestamps, then run a small script to fetch token history, compare post-call values, and write back the new “MC After Call ATH” column without changing the original layout. The main risk is missing or inconsistent token data across sources, so I’ll leave unfound tokens blank and provide a clear missing-token list instead of guessing. Estimated completion: within 1 day Fixed price: $30 Thanks!

@eshashehzadi99

Hi, I can complete this project accurately by analyzing each Solana token using reliable sources such as Birdeye, GeckoTerminal, DexScreener, and GMGN. I will verify the highest market cap reached after the specified call time, add the "MC After Call ATH" column, and populate every row with validated data. I understand that only ATHs occurring after the call timestamp should be considered. The completed CSV files will be returned in the required format with careful attention to accuracy and consistency. Looking forward to working with you.

@riya100

Hi, I can do this. I build data pipelines in Python and work directly with Solana price APIs (Birdeye, GeckoTerminal, DexScreener), so it's a good fit. Approach: for each contract address I pull full price history from your call time to now, take the highest point after the call, and compute peak market cap. I add the "MC After Call ATH" column, keep your file structure unchanged, and return both CSVs. Tokens that can't be resolved (rugged/delisted/no history) are left blank and listed in a separate missing-tokens note. Source: Birdeye OHLCV as primary (best historical depth for Solana memes), GeckoTerminal/DexScreener as fallback. Short note included documenting what was used. Two quick things to lock price/timeline: 1. Total rows across both files? 2. Date of the oldest call? (Free APIs cover ~6 months; older needs paid Birdeye, ~$99/mo — I can cover and bill back or use your key.) Note: ATH market cap is derived from peak price using the supply implied by your Call MC, keeping it consistent with your existing column. Happy to adjust the basis if you prefer. Send me the two answers and I'll confirm the final quote. Thanks

@Danzy262

Hi, I read your project carefully. You need accurate enrichment of Solana meme coin call data by validating each contract address and appending the post-call ATH market cap using reliable on-chain sources. What you'll get: • Clean processing of both CSV files without altering original structure • Contract address validation for each token (CA-level matching) • Retrieval of ATH market cap strictly AFTER call time • New column: “MC After Call ATH” added to each row • Identification list of missing/untraceable tokens • Consistent use of trusted sources like DexScreener, Birdeye, GMGN, or GeckoTerminal • Final CSV files returned ready for analysis • Short report explaining data sources and method used “I’m a verified freelancer and I’ve completed similar projects with 5⭐ feedback for accuracy and delivery.” I can complete this in 1–2 days for $20. Please send me a message so we can get started immediately.

@omkumarsingh1

I've done this kind of work before, pulling post-call ATH data for meme coins across Solana using DexScreener and GMGN APIs. The tricky part isn't fetching prices, it's matching them to the exact call timestamp and ignoring pre-call highs, which most people get wrong. Here's what I'll deliver: both CSVs with a new "MC After Call ATH" column populated, blank cells flagged, and a clean list of any tokens that couldn't be traced (dead/rugged/unlisted). Data source will be DexScreener's OHLCV endpoint, cross-verified with GMGN where needed. Timeline: 24 hours from file receipt. Price: $45 USD. Depends on how many row and tokens. Send the files and I'll start immediately.

@RKhakhula

Hi There, I can help you extract the maximum market cap data for your Solana meme coin calls. Using Python and pandas, I will process your two CSV files to scan each contract address. To ensure accuracy, I will retrieve the highest market cap reached specifically after your noted call times by querying reliable crypto data APIs such as DexScreener or GeckoTerminal. The original structure of your files will remain exactly the same, with the new MC After Call ATH column added and filled. Any tokens that cannot be fetched will be left blank, and I will deliver a separate list detailing those missing addresses along with a note explaining the specific data source used for the extraction. I can complete this task within 3 business days. The fixed price quote for the entire project is 30 USD. Let's contact to discuss details. Solution Vector Roman Khakhula

@salahuddin1973

Hello, I see you're looking to update your CSV files with ATH market cap data for Solana meme coins, which involves scanning each token and adding a new column called "MC After Call ATH" with the highest price or market cap reached after the call time. To accomplish this, I would utilize reliable data sources such as GMGN or GeckoTerminal to fetch the required data and then update the CSV files accordingly, making sure to keep the original file structure unchanged. Can you tell me if there's a preferred data source you'd like me to use for this task? https://www.freelancer.com/u/salahuddin1973 Best regards, Naufal Salahuddin

@seayniclabs

The job requires tracking post-call ATH market caps for Solana meme coins, which demands precise timestamped on-chain data aggregation across multiple DEX aggregators. I’ll build a Python script that queries DexScreener and Birdeye APIs to fetch the highest market cap after each call time, appending MC After Call ATH to both CSVs while preserving structure. Missing tokens will be logged separately. Validation uses public endpoints with sample contract addresses and timestamps. If a token’s market cap data is unavailable due to delisting or insufficient liquidity after the call time, the field remains blank. Are the call times in UTC or could they be in local timezone with no explicit offset? $30

@MrDeaDpool707

hey, i'll do it in 1-3 day depending on the number of rows in your csv with fixed price of $20 let's get it done

@EthanKCK

Dear Client, I understand the need to update the CSV files with ATH Market Cap Data for Solana meme coins. Recently, my team completed a similar project involving data manipulation and analysis for cryptocurrency assets. To approach this task, we will scan each token, verify the highest market cap reached post the call time, and add the new column "MC After Call ATH" with accurate data sourced from reputable platforms like GMGN and Birdeye. With a background in data analysis and extensive experience in handling cryptocurrency-related projects, we assure you of precise and timely deliverables. Estimated completion time is within 3-4 business days, and we provide a fixed price quote upon your request. Is there anything specific you'd like me to focus on first? Happy to discuss the details if this sounds like a good fit. Regards, Ethan KCK