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I have a CSV with roughly 1,600 entries. Each row holds the post time (in ISO 8601 format, e.g. 2025-01-01 20:56:35+00:00), the chart link, and the token’s initial price. The tokens live on Ethereum, Binance Smart Chain, Solana and Base. What I need is an analysis to visit every chart link, and note the local all time high of the token at the beginning of the post time. You can also automate it by code if you can. • the absolute highest price each token reached after it was called till today • the gain expressed both as “X” and as a percentage over the initial price (3.77x and 277%) • how many days (or hours, if you prefer) it took to hit that high • statistics like: tokens that never managed to trade above the initial price. (for example 150 token didn't reach higher pricem 1400 are in profit with ~200%) When the run is complete I want two things: 1. A clean, well-labelled data file (CSV or similar) containing the original fields plus your calculated columns. 2. The code you used, with straightforward instructions so I can rerun it on fresh lists later. Feel free to rely on Python, APIs, browser automation—whatever gets the job done accurately and reproducibly. Speed is welcome, but correctness and clear documentation come first. Example: $LABUBU posted at 05.05.2025. Price: 0.34$. ATH reached at 25.05.2025 1.50$. 4.4x ...
Proje No: 40054375
18 teklifler
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18 freelancer bu proje için ortalama €146 EUR teklif veriyor

Dear Sir, Unlock the full potential of your projects with my expertise as a Data Entry, Virtual Assistant and Project Management Specialist. My diverse skill set encompasses Data Entry, Data Mining, Data Analysis, Excel Expertise, Database Management, and Research, designed to drive your projects to new levels of efficiency and success. With over a decade of experience in managing data-intensive projects, I excel in handling Data Entry and Data Mining tasks with precision. Proficient in tools like Excel, Access, and SQL, I ensure meticulous data organization and insightful analysis. My dedication to accuracy and detail is a cornerstone of my approach. As an experienced researcher, I have a knack for extracting valuable insights through advanced Data Mining techniques. My skills in database management guarantee efficient data storage and retrieval, contributing to streamlined operations. My background in project management enables me to oversee and coordinate tasks seamlessly, ensuring that your projects are executed smoothly and effectively. With a strong focus on continuous improvement and adaptability to new technologies, I am poised to deliver high-quality results immediately. Best regards,
€140 EUR 7 gün içinde
6,9
6,9

Hi there, my name is Ravinder and I am confident in my ability to deliver the comprehensive analysis you require for your Token Peak Price project. Having completed over 180 projects with a strong focus on data automation and analysis, I can confidently leverage my 15+ years of experience and advanced Excel skills to fulfill your needs. With this substantial data set, it's crucial to maintain accuracy and efficiency. My deep understanding of Python, APIs, browser automation, and data manipulation in tools like Excel and Power BI make me a natural fit for this task. You mentioned that reproducibility is important to you; not only will I deliver well-labelled CSV files showcasing calculated columns, but I will also provide you with code and detailed instructions for executing the same process in future. Furthermore, my working knowledge of Ethereum, Binance Smart Chain, Solana, Base combined with strong financial analysis skills ensures that I can precisely identify each token's all-time highs and calculate the gain as X multiplier or percentage over the initial price. Additionally, my expertise in generating statistical summaries will provide you valuable insights like tokens that never traded above their initial price by mentioning their count explicitly. My dedication to producing error-free work within stipulated deadlines further emphasizes why choosing me is a surefire way to accomplish this project effectively and efficiently.
€120 EUR 2 gün içinde
6,2
6,2

I can efficiently handle the Token Peak Price Analysis project. With expertise in Python, Data Processing, Data Entry, Excel, and Web Scraping, I am well-equipped to deliver accurate and reproducible results. The budget can be adjusted as per the full project scope, and my focus is on completing the task within your constraints. My profile showcases 15 years of experience, ensuring top-notch quality. Let's discuss the details and kick off this project promptly. Your satisfaction is my priority. Looking forward to working together.
€175 EUR 7 gün içinde
6,5
6,5

Hi! I am proficient in MS Excel, Google Sheets, Spreadsheet accounting, and its use in business and analysis. I can accurately enter, arrange, analyze, and present your data. Let's Connect
€250 EUR 7 gün içinde
4,8
4,8

Hi there! Manually tracking token peak prices can be extremely time-consuming, and relying on inconsistent charts leads to errors. I can create a Python-based solution that automates visiting every chart link, extracts the all-time-high price for each token after its post time, calculates the gains (absolute and percentage), computes the time to peak, and flags tokens that never surpassed their initial price. You’ll get: * A clean CSV with original data + calculated columns. * Fully commented Python code with instructions so you can run it on any future CSV. Do you want me to include multi-chain support (Ethereum, BSC, Solana, Base) so each token is tracked correctly automatically? Open chat now.
€140 EUR 7 gün içinde
3,4
3,4

Hello — I can deliver the Token Peak Price Analysis exactly as requested. What I’ll do • Visit each chart link (API where available, otherwise automated browser scraping) and record the local all-time-high (ATH) price after the post time. • Compute absolute ATH, gain as “X” and as percentage, and time-to-ATH (days/hours). • Flag tokens that never traded above the initial price and produce summary statistics (counts, percentiles, distribution of gains, median time-to-ATH). Approach & accuracy • Prefer APIs/exchange/chart-provider endpoints for correctness; fall back to headless browser automation (Playwright/Selenium) with robust retries and rate-limiting. • Normalize timestamps to UTC, handle token symbol/contract-address mapping across chains (ETH, BSC, Solana, Base). • Validate noisy charts by cross-checking alternate data sources where possible. Deliverables Clean CSV with original fields + ATH price, gain (X), gain (%), time-to-ATH, status flags. Reusable Python code (well-documented) and run instructions to reproduce on new lists. Short summary report with key stats and example findings. I’ll begin immediately once you share the CSV.
€160 EUR 4 gün içinde
1,3
1,3

Hi there, I am excited to propose a solution for your project 'Token Peak Price Analysis'. With my expertise in cryptocurrency, data processing, and web scraping, I am well-equipped to tackle the task at hand. I will develop a program to visit each chart link, record the local all-time high of the token, calculate the gain in both 'X' factor and percentage over the initial price, determine the time taken to hit that high, and provide insightful statistics on token performance. Upon completion, I will deliver a meticulously labeled data file with all the necessary fields and calculations. Additionally, I will provide you with the code used along with clear instructions for future use. Looking forward to diving into this project and delivering accurate and reliable results. How do you envision incorporating this data into your investment strategy?
€155 EUR 3 gün içinde
0,0
0,0

Hello there, I understand that you require an analysis of approximately 1,600 entries in a CSV file containing post times, chart links, and token initial prices across Ethereum, Binance Smart Chain, Solana, and Base. The analysis will involve visiting each chart link to determine the local all-time high of the token at the beginning of the post time, calculating gains, time taken to reach the high, and additional statistics. My proposed solution involves automating the process using Python and potentially leveraging APIs or browser automation tools to accurately and reproducibly extract the required data. Key Deliverables: - Identification of absolute highest price reached by each token - Calculation of gains in terms of "X" and percentage over initial price - Determination of time taken to reach the high - Analysis of tokens that did not trade above the initial price I'll share my portfolio with you in the DM, showcasing my expertise in Python and web scraping for ensuring quality and reliability. I'd love to connect for a quick chat to discuss your project in more detail. Best regards, Minhal
€140 EUR 7 gün içinde
0,0
0,0

Hello there, I understand that you need an analysis of token peak prices from a CSV file with 1,600 entries, including the highest price reached by each token, gain percentage, duration to reach the peak price, and statistics on tokens trading above the initial price. My approach involves automating the process to visit each chart link, extract the necessary data, and calculate the required metrics accurately. I will ensure that the analysis is thorough, precise, and well-documented. Core Deliverables: - Identification of the absolute highest price for each token - Calculation of the gain in both "X" and percentage over the initial price - Determination of the duration taken to reach the peak price - Compilation of statistics on tokens trading above the initial price I'll share the portfolio with you in the DM. Kindly ping me there. My experience with data analysis and automation ensures quality and efficient delivery. I'd be happy to discuss your project further and answer any questions. Best regards, Malaika
€140 EUR 7 gün içinde
0,0
0,0

This sounds like a captivating project [FirstName]. I comprehend that you seek a thorough analysis of token peak prices from a CSV file containing 1,600 entries across various blockchains like Ethereum, Binance Smart Chain, Solana, and Base. I am well-versed in web scraping, data processing, and data analysis and can provide accurate token price calculations showcasing gains, complete with clear documentation and code for reproducibility within your specified budget. Let's work together to extract maximum value from this rich dataset, presenting you with insightful data file outputs alongside the automated code. With my expertise in Python and data analysis, I am well-prepared to tackle this endeavor and ensure premium outcomes. Excited to collaborate with you on this exciting venture, strategically unlocking hidden insights from your token data. Best regards, TM MOHALE
€125 EUR 3 gün içinde
0,0
0,0

Hi, I’ve built Python-based pipelines before to analyze on-chain token performance using chart links, APIs, and historical OHLCV data across networks like Ethereum, BSC, Solana, and Base. For your CSV of ~1,600 entries, I can write a reproducible script that: Parses your post time and initial price for each token Queries each chart link (or its underlying API) to fetch historical price data from that timestamp onward Calculates the local ATH after the call time, the “X” gain and percentage gain, and the time it took to reach that high Flags tokens that never traded above the initial price and generates summary statistics You’ll get a clean output CSV with the original fields plus all computed metrics, along with well-documented Python code and simple instructions so you can rerun it on new lists in the future.
€140 EUR 7 gün içinde
0,0
0,0

Hannover, Germany
Mar 5, 2025 tarihinden bu yana üye
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