Cryptocurrency Investment Analysis Specialist
Budget: $250 – $750 USD
I need a clear, data-driven assessment of several cryptocurrency assets before I commit new capital. The work centres on investment analysis, not general market commentary, so every conclusion must be backed by numbers I can trace.
Here’s what I need from you:
• A comparative valuation of the coins and tokens I list, using recognised metrics such as on-chain activity, network value-to-transactions, and discounted cash-flow proxies where relevant.
• Scenario-based forecasts that show best, base, and worst-case returns over the next 6–12 months, with assumptions stated explicitly.
• A risk profile covering volatility, liquidity, counter-party exposure, and regulatory considerations, supported by Value-at-Risk or similar models.
• An actionable summary that tells me whether to buy, hold, or avoid each asset, including recommended position sizes for a diversified crypto portfolio.
I am comfortable reviewing workbooks built in Excel, Python, or R, and I expect the final package to include the model files, a concise PDF report, and a slide deck that highlights key insights in plain English. Clear citations for any third-party data are essential; I will be replicating your calculations.
If your analysis is robust, transparent, and delivered on time, I’ll look at extending the engagement to ongoing portfolio monitoring.
Here’s what I need from you:
• A comparative valuation of the coins and tokens I list, using recognised metrics such as on-chain activity, network value-to-transactions, and discounted cash-flow proxies where relevant.
• Scenario-based forecasts that show best, base, and worst-case returns over the next 6–12 months, with assumptions stated explicitly.
• A risk profile covering volatility, liquidity, counter-party exposure, and regulatory considerations, supported by Value-at-Risk or similar models.
• An actionable summary that tells me whether to buy, hold, or avoid each asset, including recommended position sizes for a diversified crypto portfolio.
I am comfortable reviewing workbooks built in Excel, Python, or R, and I expect the final package to include the model files, a concise PDF report, and a slide deck that highlights key insights in plain English. Clear citations for any third-party data are essential; I will be replicating your calculations.
If your analysis is robust, transparent, and delivered on time, I’ll look at extending the engagement to ongoing portfolio monitoring.
Related categories:
Python
Excel
Statistics
Finance
Financial Analysis
Statistical Analysis
Data Analysis
Cryptocurrency