Alva
0Alva is an agentic finance platform providing access to diverse financial data sources. It connects any AI agent or IDE to various financial metrics and analytics.
3440Updated Yesterday
Finance
Quick InstallView Source
$ npx skills add https://github.com/alva-ai/skills --skill alvaOverview
About This Skill
Alva is an agentic finance platform that integrates with Claude, Cursor, and other AI agents to provide unified access to 250+ financial skills spanning crypto, equities, ETFs, macro, on-chain, and social data. The platform enables AI agents to research market theses with live financial context, build and remix interactive Playbooks, set market alerts, backtest trading strategies using the Altra engine, and connect trading accounts. It runs JavaScript workflows on Alva Cloud with no local infrastructure required, storing time-series data through persistent pipelines that can be scheduled as cronjobs. Teams and researchers use Alva to turn their analysis into hosted web apps, discovering insights across technical indicators (RSI, MACD, Bollinger Bands, and 50+ more), fundamental metrics, analyst targets, insider trades, and real-time social feeds.
How to Use
Install the skill using the npm command provided.
Use Cases
Access crypto market data
Analyze equities and ETFs
Track macroeconomic indicators
Evaluate company fundamentals and price targets
Tags
Setup & Installation
Quick Install
Terminal
$ npx skills add https://github.com/alva-ai/skills --skill alvaAlternative Install (Git Clone)
git clone https://github.com/alva-ai/skillsRequirements
- Claude Code or compatible AI agent
Quick Start Guide
1
Install the Skill
Copy the install command above and run it in your terminal.
2
Open Your AI Agent
Launch Claude Code, Cursor, or your preferred AI coding agent.
3
Try It Out
Use the prompt template or examples below to test the skill.
4
Customize
Adapt the skill to your specific use case and workflow.
Usage Examples
Prompt Template
Act as Alva, a finance data agent. Retrieve and analyze [FINANCIAL_METRIC] for [COMPANY] from [DATA_SOURCE] (e.g., SEC filings, Bloomberg, Yahoo Finance). Include key trends, ratios, or anomalies. Format as a concise report with bullet points and visualizations if possible. Use [COMPANY] = [Ticker Symbol], [FINANCIAL_METRIC] = [e.g., revenue growth, P/E ratio], and [DATA_SOURCE] = [e.g., 10-K, Q2 earnings report].
Example Output
# Alva Finance Report: TSLA Q2 2024 Financial Metrics **Company:** Tesla, Inc. (TSLA) **Report Period:** Q2 2024 (April 1 - June 30) **Data Source:** 10-Q Filing (SEC) ## Key Financial Metrics ### Revenue & Profitability - **Total Revenue:** $24.9B (+19% YoY, -5% QoQ) - *Automotive Revenue:* $21.2B (-7% QoQ due to price cuts) - *Energy Generation & Storage:* $1.5B (+15% YoY) - *Services:* $2.2B (+38% YoY) - **Gross Margin:** 18.2% (down from 19.3% QoQ) - **Net Income:** $1.1B (vs. $2.7B in Q1 2024) ### Operational Highlights - **Vehicle Deliveries:** 466,140 units (-4% YoY, +11% QoQ) - **Energy Storage Deployments:** 9.4 GWh (+22% YoY) - **Free Cash Flow:** -$569M (vs. +$2.2B in Q1 2024) ### Anomalies & Trends - **Price Pressure:** Average ASP dropped to $45,500 (from $47,000 in Q1 2024). - **Regional Performance:** China sales grew 15% YoY, offsetting weaker U.S. demand. - **Debt-to-Equity Ratio:** 0.35 (stable QoQ). ### Visualization Suggestion ``` Revenue Trend (2023-2024): Q1 2023: $23.4B | Q2 2023: $24.9B | Q3 2023: $23.4B | Q4 2023: $25.2B Q1 2024: $23.4B | Q2 2024: $24.9B ``` **Recommendation:** Monitor Q3 2024 guidance for signs of margin stabilization amid price wars.
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