Stream +600 App analyses your available capital and market conditions to configure a diversified portfolio in under 60 seconds, so the time between client projects works for you instead of sitting idle.
Setup takes under a minute. You define the risk tolerance; the model handles the rebalancing.
Revenue arrives in uneven bursts. Between invoicing one client and starting the next contract, funds often sit in a checking account earning nothing, while the freelancer is fully occupied with delivery work.
Tracking market movements, rebalancing positions, and interpreting risk signals requires attention that most independent professionals cannot spare without taking time away from billable hours.
The platform ingests market and account data continuously, so decisions are based on current conditions rather than a snapshot from last week.
Once risk parameters are set, the AI engine monitors exposure and rebalances automatically. You review outcomes on your schedule instead of monitoring positions throughout the day.
Market feeds, account activity, and macro indicators are processed continuously and combined into a single, current view of your exposure, rather than relying on periodic manual reviews.
The model estimates volatility and downside scenarios ahead of allocation changes, giving you a defined risk profile before capital is committed, not after.
When allocations drift from your target risk band, the system adjusts positions automatically, within the boundaries you configured at setup.
Connect an account, set a risk tolerance, and confirm. There is no spreadsheet to build and no manual allocation to research before the first position is opened.
Your account and relevant market data sources are linked. No manual data entry is required; the setup form takes under a minute to complete.
A neural analysis layer evaluates historical patterns and current conditions to propose an allocation matching your stated risk tolerance.
Approved allocations are executed and monitored. Rebalancing occurs automatically within the limits you define, with a full log of each action taken.
Note on control and security: the AI executes within boundaries you set at onboarding and can be paused at any time. Account credentials are never stored in plain text, and all data transfers use encrypted connections in line with standard financial data-handling practice.
A freelancer invoices a client, then has three to six weeks before the next project starts. Rather than leaving the payment in a low-yield account, the balance is allocated to a conservative, liquidity-weighted portfolio.
For capital not needed for near-term operating expenses, the same account can run a growth-oriented allocation with a wider risk band, reviewed on a monthly rather than weekly basis.
Account connections use encrypted, read-restricted access wherever the underlying provider supports it. Personal and financial data are stored on servers located within the EU, and access logs are maintained for audit purposes, consistent with standard practice for financial data processors serving the German market.
The models combine historical price behaviour, volatility patterns, and current market signals to estimate a probable range of outcomes for a given allocation. They are used to inform risk bands and rebalancing thresholds, not to guarantee specific returns; markets remain subject to conditions outside any model's control.
You link an account, answer a short set of questions on risk tolerance and time horizon, and confirm the proposed allocation. The AI engine has already prepared the recommendation in the background before you reach the confirmation step, which is why the process feels brief without skipping analysis.
Yes. Automated execution operates within limits you configure, and you can pause or adjust those limits at any time. The system will not exceed the risk band you have set without an explicit change on your part.
The liquidity-weighted allocation option was designed with irregular cash flow in mind, allowing faster access to funds when a new project requires upfront capital, compared with a strictly long-term allocation strategy.
Set your risk tolerance once. The engine handles synthesis, prediction, and rebalancing between projects, so your capital keeps working while you focus on client delivery.