Anton Ladnyi, CFA · Private Portfolio Advisory
Finally - a risk number,
not a risk category.
Most advisors ask if you're "conservative" or "aggressive." We solve for your exact risk aversion coefficient — the parameter that governs your optimal portfolio allocation - using the same quantitative framework institutional portfolio managers use to build client mandates.
Example output - your result will look like this
EXAMPLE
Risk Aversion Coefficient · A_final · Black-Litterman MVO Input
Coefficient A
4.2
A_final · Utility maximisation parameter
Moderately Growth-Oriented
With a risk aversion coefficient of 4.2, your optimal portfolio balances capital growth with measured downside protection. Expected return: 9–13% p.a. Max drawdown: −25 to −35%.
Risk Position
Balanced
Time Horizon
15 years
Capacity Score
72/100 · Moderate–High
Profile Consistency
Low
Target Return
9–13% p.a.
Max Drawdown
−25 to −35%
Typical Allocation
60% Eq / 25% FI / 15% Alt
ML Divergence
Low
Risk Spectrum Position
Aggressive Growth
Capital Preservation
Recommended Allocation
Equities
60%
Fixed Income
25%
Alternatives
15%
10+
Years Goldman Sachs
& J.P. Morgan IB
& J.P. Morgan IB
A = f(λ,σ²,μ)
Utility Theory
Scoring Engine
Scoring Engine
20
Calibrated
Assessment Questions
Assessment Questions
MVO
Black-Litterman
Portfolio Output
Portfolio Output
The Methodology
01
Behavioural Assessment
20 calibrated questions across 6 modules - tolerance, capacity, goals, time horizon, experience, constraints. Designed to surface how you actually behave, not how you think you do.
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02
Coefficient Derivation
Your responses are scored against revealed preference theory and utility maximisation models. The engine outputs A - your unique risk aversion coefficient, not a category label.
→
03
Portfolio Generation
Coefficient A feeds directly into Black-Litterman MVO on your selected securities. Output: optimal weights, target return, max drawdown tolerance, and full simulation data.
CFA Charterholder
Anton Ladnyi, CFA
Private Investment Advisor · MSc International Business Management
Goldman Sachs · Equity Research
J.P. Morgan · Wealth Management
CFA Charterholder
8+ Yrs IB
"I built this tool to apply the same quantitative frameworks - utility theory, Black-Litterman optimisation, Monte Carlo simulation - that I used at Goldman and JPMorgan, for private clients who deserve institutional-grade analysis."
What You Receive
01
A
Your exact risk number
Know precisely how much equity, bonds, and alternatives your portfolio should hold - derived from how you actually behave under pressure, not what you say you prefer.
02
◈
A portfolio built for you, not a template
Black-Litterman MVO weights across your selected securities - target return, max drawdown, Sharpe estimates. Specific to your coefficient, not a generic model.
03
✦
Private implementation - from number to live portfolio
Work directly with Anton to implement your IPS, structure tax-efficiently, select the right broker, and execute. The step robo-advisors cannot take.
Client feedback
"
I'd done three different bank risk questionnaires and got three different answers - "moderate," "balanced," "moderately aggressive." Risk DNA gave me an actual number. It changed how I thought about the whole thing.
"
The portfolio simulation was more rigorous than anything my private bank had produced. The session with Anton helped me understand exactly what my current allocation was costing me in risk-adjusted terms.
"
I was sceptical about another online tool, but the coefficient-based output is genuinely different. Seeing exactly where I sit on the spectrum - with the maths behind it - made the whole exercise feel real.
~10 minutes
·
20 questions
·
No signup required
·
Institutional methodology
·
Your number appears once it's calculated
Free · No signup
Risk Profile + Portfolio Simulation
Coefficient A, MVO weights, Monte Carlo output
→
€150
Portfolio Health Check
Expert review of your existing holdings, PDF report
→
€750
Strategic Session
Full IPS, implementation, broker setup, execution
Why this is different from every other option
Standard bank questionnaire
5–10 generic questions
Output: "You are Moderate Risk"
No mathematical basis shown
Same template for all clients
No portfolio construction output
Robo-advisor
Algorithm, no human judgment
Generic model portfolio output
Black-box allocation logic
No bespoke mandate or IPS
No advisor accountability
Risk DNA
20 calibrated behavioural questions
Output: your exact coefficient A = 3.47
Utility theory + revealed preference
Personalised to your specific answers
Black-Litterman MVO weights output
Module A · 01 of 06 - Behavioural Tolerance
How do you actually behave under pressure?
Most investors overestimate their risk tolerance in calm markets. These six questions are designed to surface your revealed preferences - what you'd actually do, not what you think you'd do.
Question 01 / 20
Your portfolio drops 25% in three months. What do you do?
Question 02 / 20
At what loss level would you stop sleeping soundly?
Question 03 / 20
Which outcome feels psychologically worse to you?
This measures loss aversion vs. regret aversion - a key behavioural finance distinction with direct implications for portfolio construction.
Question 04 / 20
A major market crash happens (−40% in 6 months). How do you feel about your portfolio?
This assesses your baseline emotional composure under extreme stress.
Question 05 / 20
How often do you typically check your investment portfolio?
Question 06 / 20
In a volatile market environment, which statement best describes you?
0 / 6 answered
Module B · 02 of 06 - Goals & Time Horizon
✓ Module A complete
What is this money actually for?
Time horizon is one of the most powerful variables in portfolio construction - it determines how much short-term volatility is mathematically irrelevant to your outcome. Your goal shapes the whole model.
Question 07 / 20
When will you need primary access to this capital?
Question 08 / 20
Your primary investment goal for this portfolio:
Question 09 / 20
Which best describes your current life stage and financial priorities?
Question 10 / 20
How important is it that this portfolio reach a specific numeric target at a specific date?
Question 11 / 20
If your portfolio underperformed its benchmark by 8% in one year, how would you react?
0 / 5 answered
Module C · 03 of 06 - Financial Capacity
✓ Module B complete · Halfway through
Can your finances absorb a serious drawdown?
Risk tolerance and risk capacity are different things. You might be emotionally ready to watch a portfolio fall 40% - but if you'd need that capital within 18 months, that exposure is structurally reckless regardless of temperament.
Question 12 / 20
Your primary income source:
Question 13 / 20
This portfolio represents what share of your total investable wealth?
Including all liquid assets - not real estate or pension entitlements.
Question 14 / 20
How many months of living expenses do you keep in liquid cash or equivalents?
Question 15 / 20
Your current level of outstanding debt (mortgages, loans, credit) relative to income:
Question 16 / 20
Do you have guaranteed income sources that could cover essential expenses if your portfolio lost 30% this year?
0 / 5 answered
Module D · 04 of 06 - Experience & Constraints
✓ Module C complete
What have you lived through, as an investor?
Investors who've experienced a real bear market respond differently from those who've only seen bull runs. Lived experience is a genuine data point - it calibrates both your resilience and your blind spots.
Question 17 / 20
Your investment experience:
Question 18 / 20
What is the largest personal portfolio loss you have experienced and maintained your strategy through?
Question 19 / 20
Are there any asset classes, sectors, or instruments you wish to exclude from your portfolio?
This helps define hard constraints for the optimiser.
Question 20 / 20
Do you incorporate Environmental, Social, or Governance (ESG) criteria into your investment decisions?
0 / 4 answered
Module E · 05 of 06 - Quantitative Inputs
✓ Module D complete · Final stretch
What are your exact limits?
Your drawdown tolerance and return expectations feed directly into the utility function that derives your risk aversion coefficient A - the core output of this entire assessment.
Leaning toward
—
This updates in real time as you move the sliders below. Your exact risk coefficient is computed by the scoring engine once you confirm your inputs.
Your name — used on your report
Name
Risk Parameters
These three inputs determine your A coefficient
Monte Carlo Parameters
Used for portfolio projection modelling
Investment horizon
Initial investment
$
Monthly contribution
$
Target wealth goal
$
All 20 questions complete
Your inputs are ready. Review your answers below - then confirm to run the coefficient calculation. This takes about 3 seconds.
Confirm & Calculate · 06 of 06
Almost there.
Confirm & run the calculation.
Your answers below will be run through the scoring engine to derive your risk aversion coefficient. Take a moment to confirm they reflect how you'd genuinely behave - not how you'd like to behave.
Your coefficient A will be computed immediately after you confirm your securities on the next screen.
Final Step - Portfolio Universe
Build your investment universe.
Choose the securities the engine will optimise. When you click Calculate, the scoring engine computes your exact risk coefficient and weights these securities to maximise your utility function given that profile.
Strategy Presets
Click any strategy to load its securities. You can then add or remove individual tickers.
or build your own
⌕
No results for that search - try the ticker symbol directly (e.g. ORCL for Oracle, MSFT for Microsoft).
0
securities selected
min 3 · max 20
No securities selected
Choose a strategy preset above - or type a ticker to build from scratch
Run optimisation
Select at least 3 securities to continue.