Analyze your historical Finage data automatically with AI
Swiftask connects your AI agents to Finage data streams. Turn years of market data into strategic reports and key trends instantly.
Result:
Save hours of daily analysis. Make investment decisions based on real-time processed data.
AI Agents
finage
Connector finage · Secure OAuth 2.0
Manual financial data processing is a bottleneck
Analyzing historical market data is complex. Between extracting Finage data, cleaning CSVs, and modeling in Excel, your analysts waste precious time on low-value tasks instead of focusing on strategy.
Main negative impacts:
Data processing overload
Collecting and formatting historical data consumes 80% of analyst time, limiting their ability to provide insights.
Risk of human error
Manual handling of large volumes of financial data drastically increases the risk of calculation or interpretation errors.
Decision-making latency
The delay between data extraction and actionable reporting prevents optimal reactivity in volatile markets.
Swiftask automates Finage historical data ingestion. Our AI agents analyze these streams, identify correlations, and generate decision-making summaries automatically.
BEFORE / AFTER
What changes with Swiftask
Traditional manual process
An analyst manually downloads Finage price data, imports it into a spreadsheet, applies complex formulas, cleans formatting errors, and finally produces a chart. This process takes hours and is difficult to replicate daily.
Automated analysis with Swiftask + Finage
The Swiftask agent automatically queries the Finage API at regular intervals. Data is ingested, normalized, and analyzed by the AI. A summary report is generated instantly and delivered to your team.
4 steps to automate your financial analysis
1
STEP 1 : Connect your Finage API key
Integrate your Finage credentials securely into the Swiftask interface to authorize access to historical data streams.
2
STEP 2 : Define analysis parameters
Configure the AI agent to target specific assets, timeframes, and technical indicators relevant to your strategy.
3
STEP 3 : Configure report triggers
Schedule the agent to produce analyses at specific times or in response to market variations detected via Finage.
4
STEP 4 : Automate distribution
The analysis result is automatically sent via email, Slack, or Teams to your decision-makers.
AI agent analysis capabilities
The agent processes time series, OHLC prices, volumes, and derived indicators provided by Finage.
- Target connector: The agent performs the right actions in finage based on event context.
- Automated actions: Automatic calculation of moving averages, technical pattern detection, asset correlation, executive summary generation, and volatility alerts.
- Native governance: Every analysis is archived with its source data to ensure total traceability and auditability.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-finage@swiftask.ai ). You keep full visibility on every action and every sent message.
Key takeaway: The agent automates repetitive decisions and leaves high-value actions to your teams.
Competitive advantages for your financial management
Increased productivity
Free your analysts from data-entry tasks so they can focus on pure strategy.
Technical precision
Eliminate human errors through rigorous algorithmic processing of Finage streams.
Operational scalability
Analyze thousands of assets simultaneously without increasing your workload.
Strategic reactivity
Access insights as soon as data is available on Finage, without human latency.
Simplified compliance
Benefit from a complete history of every analysis and the source data used.
Security and data privacy
Swiftask applies enterprise-grade security standards for your finage automations.
- API key encryption: Your Finage credentials are encrypted and isolated, ensuring secure connection without exposure.
- Strict access control: Granular rights management within your Swiftask workspace.
- Full audit logs: Every query and analysis is logged for total transparency.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Impact on your performance
| Metric | Before | After |
|---|---|---|
| Processing time | 3-5 hours daily | A few seconds |
| Volume of assets analyzed | Limited by human time | Unlimited (automation) |
| Data reliability | Risk of human error | Algorithmic accuracy |
Take action with finage
Save hours of daily analysis. Make investment decisions based on real-time processed data.