The process in five stages
Assets
What stocks, ETFs, bonds, metals and crypto do in a plan.
Stage 01 / 05
Stage 01 / 05
Assets
First we sort instruments by their role, their risk and their place in your overall financial plan.
- Stocks and ETFs as exposure to economic growth
- Bonds, cash and metals as portfolio stabilisers
- Cryptocurrencies as higher-risk exposure
- IKE, IKZE and PPK as Polish tax wrappers, not separate assets
Stage outcomeYou can say why an asset is in your portfolio and what you can realistically expect from it.
Stage 02 / 05
Portfolio
From individual instruments we build a structure that fits your goal, your time horizon and how much volatility you can live with.
- Investor profile and tolerance for drawdowns
- Strategic allocation and limits for each asset class
- Regular contributions (DCA), schedule and use of new savings
- Rebalancing and scenarios for different market conditions
Stage outcomeYou have a coherent portfolio policy with rules for adding capital and restoring target weights.
Stage 03 / 05
Risk
Risk stops being an emotion once it is described by limits, position size and a procedure.
- Money management and the risk of a single trade
- Total portfolio exposure and maximum drawdown
- Stop loss, reward to risk and exit conditions
- Decision journal, overtrading and control of cognitive biases
Stage outcomeYou have a set of rules that protect capital and limit the influence of impulse on your decisions.
Stage 04 / 05
Analysis
Analysis should lead to a decision, so we build it around criteria, scenarios and data you can check.
- Fundamental analysis of companies and business quality
- Technical analysis of crypto markets and price structure
- Selecting data, building a scenario and its invalidation point
- Entry condition, exit plan and a pre-decision checklist
Stage outcomeYou can move from market observation to a hypothesis with defined entry, exit and verification criteria.
Stage 05 / 05
System
The last stage combines rules, data and tools into a process you can repeat, measure and gradually automate.
- Backtesting and control of data and execution quality
- Analytical scripts, alerts and signal scanning
- Decision checklists and regular portfolio reviews
- Limits of algotrading, monitoring and fallback procedures
Stage outcomeYou build your own investor’s workshop: less manual chaos, more repeatable process and feedback.