Inpost Capital combines predictive modelling with a liquidity infrastructure built for instant withdrawals, so data-driven recommendations never come with a waiting period attached.
Exposure, risk score, and projected outcomes update on the dashboard as new market data arrives, not on a fixed reporting schedule.
Inpost Capital re-evaluates your position continuously rather than on a fixed schedule. The underlying models ingest new data points as they appear and adjust recommendations within the same session, not the next reporting cycle. Because the liquidity infrastructure was built for same-day access, acting on a new recommendation never means waiting out a lock-up first.
Rather than relying on a single static training set, the models retrain on rolling windows of recent market and behavioural data. This keeps recommendations aligned with current conditions instead of averages drawn from months earlier.
Your dashboard shows current exposure, projected outcomes under different scenarios, and the reasoning behind each recommendation. Every figure updates as new data is processed, so you are looking at the current state of your position rather than a delayed snapshot.
Capital allocated through Inpost Capital is held in structures that support same-day settlement. There is no minimum holding period and no penalty for withdrawing funds shortly after they were deployed.
Inpost Capital was created for investors who want sophisticated analysis without giving up access to their own money. The team combines backgrounds in quantitative finance and software engineering, and the platform is used internally to monitor the same liquidity infrastructure that clients rely on.
The goal is straightforward: turn continuous data analysis into recommendations you can act on in minutes a day, with capital that stays yours to move whenever you need it.
Every recommendation you see can be traced back through the same four steps.
Market feeds, transaction histories, and macroeconomic indicators are collected and normalised continuously throughout the trading day.
Statistical and machine-learning models compare incoming data against historical patterns to identify emerging trends and anomalies.
Identified patterns are translated into position-specific recommendations, weighted by your existing risk parameters and liquidity preferences.
Approved recommendations are executed through the liquidity infrastructure, with the resulting position change reflected on your dashboard the same session.
Every recommendation is issued alongside a risk score, so you can see the basis for a suggestion before acting on it.
Each recommendation carries a risk score calculated from volatility, concentration, and historical drawdown data. Position sizing is adjusted automatically when a risk score exceeds the threshold you have set.
Inpost Capital processes personal and financial data in line with the EU General Data Protection Regulation and applicable German financial regulations. Data handling practices are documented and available on request.
Client data and transaction records are encrypted in transit and at rest. Access to production systems is limited to authenticated personnel and logged for audit purposes.
Risk thresholds, maximum position size, and withdrawal preferences are set by you and can be adjusted at any time without affecting existing liquidity access.
An individual allocating a modest sum outside their main portfolio checks the dashboard periodically, adjusting only when the recommendation engine flags a meaningful shift.
A small business with seasonal cash surpluses places idle funds into the platform between payment cycles, relying on instant withdrawal to cover payroll or supplier payments without penalty.
Someone balancing a full-time job checks the dashboard briefly each day, letting the recommendation engine handle rebalancing while keeping full access to withdraw at any time.
Withdrawal requests are processed the same business day in most cases. Because the underlying liquidity infrastructure does not impose lock-up periods, there is no waiting window built into the process itself, though standard bank transfer times still apply once funds leave the platform.
No prior trading experience is required. Setup asks for basic financial information and your risk preferences, and the models handle the ongoing data analysis from there.
Fees are calculated as a percentage of net returns generated, rather than a flat management fee on total assets. Full fee details are shown before you confirm any allocation, and no fee is charged on unrealised or withdrawn capital.