Swiftask leverages Mboum's real-time data to filter, analyze, and monitor your investment opportunities, with no coding required.
Result:
Turn complex data streams into clear, actionable investment decisions.
The complexity of manual financial screening
Monitoring thousands of stocks manually is impossible. Analysts spend hours cross-referencing disparate data, risking human error and slow response times to market volatility.
Main negative impacts:
Swiftask automates your financial screening by integrating Mboum data feeds. Your AI agents apply your investment strategies 24/7, filtering assets based on your precise conditions.
BEFORE / AFTER
What changes with Swiftask
Traditional management
The analyst manually checks terminals, downloads spreadsheets, applies Excel filters, and hopes they haven't missed an important alert overnight.
Swiftask + Mboum approach
Your AI agent continuously scans Mboum data, identifies assets matching your criteria, and sends an actionable summary directly to your communication channel.
Deploy your intelligent screening in 4 steps
STEP 1 : Initialize your Swiftask agent
Create a specialized financial analysis agent within Swiftask without writing any code.
STEP 2 : Connect Mboum data feeds
Integrate Mboum APIs to access real-time stock market data and financial indicators.
STEP 3 : Define dynamic filters
Configure your screening parameters (P/E, market cap, volatility, etc.) in Swiftask.
STEP 4 : Monitor and alert
Activate the agent to receive instant notifications as soon as an asset meets your conditions.
Your financial agent's analysis capabilities
The agent cross-references price data, fundamental ratios, and technical indicators provided by Mboum to validate your investment hypotheses.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-mboum@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.
Operational benefits of AI-driven screening
1. Increased accuracy
Eliminate errors related to manual entry or filtering of financial data.
2. Execution speed
Analyze thousands of assets in milliseconds thanks to automation.
3. Continuous availability
Your screening runs even when markets are closed, ready for the opening bell.
4. Total customization
Adapt your screening strategies without relying on rigid third-party solutions.
5. Strategic alignment
Ensure every analysis strictly follows your investment thesis.
Security and data integrity
Swiftask applies enterprise-grade security standards for your mboum automations.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Impact on your financial efficiency
| Metric | Before | After |
|---|---|---|
| Screening time | Several hours per day | Seconds |
| Missed opportunities | High | Near zero |
| Data reliability | Human error risk | Full standardization |
| Processing cost | High human resource cost | AI-optimized |
Take action with mboum
Turn complex data streams into clear, actionable investment decisions.