Portfolio Intelligence Platform

Institutional-grade
portfolio analytics.
Built for the independent professional.

Your client calls at 9am asking about portfolio risk. You should have the answer by 9:02.

MAISNER gives independent wealth managers the same quantitative tools used by institutional desks — without the quant team, without the €2,000/month software, and without rebuilding your covariance matrix in Excel ever again.

Portfolio Optimizer
MAX SHARPE RMT · QUALITY TILT LIVE
Sharpe1.42
Ann. Return+14.8%
Volatility11.2%
CVaR 95%−8.4%
Beta0.64
TickerSector Opt %ReturnQuality
MSFTTechnology20.0%+22.1%0.91
AAPLTechnology24.1%+18.2%0.87
ASMLTechnology16.3%+27.4%0.83
NVDATechnology15.0%+44.7%0.72
GOOGComm. Svc.12.8%+12.8%0.79
JPMFinancials7.0%+9.2%0.81
BRK.BFinancials4.8%+8.8%0.78
Monte Carlo — 10K paths · 10Y
0Y 5Y 10Y P95 med P05
Return dist.
20Analytical modules
779Validated tests
10YPrice history
10KMonte Carlo paths
FMP ProLive market data
EU-readyPRIIPs KID · NL · DE · CH

20 analytical modules. No AI.
€99/month. Pure math only.

MAISNER gives independent wealth managers the quantitative infrastructure previously reserved for institutional desks. RMT covariance, CVaR-LP optimisation, GBM simulation, factor IC, PRIIPs KID — running live in a browser, on demand, per request.

20
Modules
779
Validated Tests
10K
Monte Carlo Paths
5K
CVaR Scenarios
10Y
Price History
11
Quant Factors
Who it is for
Primary
Independent Wealth Managers & RIAs

Managing €5M–€200M AUM. Need proper risk metrics, optimized allocations, and professional reports — without hiring a quant desk. White-label PDF for client delivery. Stress testing for compliance reviews.

Primary
Family Offices

Running multi-asset books with options, bonds, futures, and equities. Need a single platform that understands all asset classes and produces consolidated risk analytics. Portfolio hedging via Yu & Sun model.

Secondary
Sophisticated Private Investors

Self-directed investors who understand MPT and want to apply it rigorously — factor screening, walk-forward backtesting, real-time P&L monitor. Target markets: NL, DE, CH. From €99/month (Starter plan).

The problem it solves
The Gap
  • Institutional analytics platforms cost €1,500–€3,000/month and require specialist operators
  • Excel cannot handle RMT covariance cleaning, Monte Carlo at scale, or options Greeks reliably
  • Free Python tools require coding skill, data pipelines, and infrastructure maintenance
  • Most portfolio SaaS stops at basic Sharpe ratio — no CVaR, no RMT, no factor IC, no hedging
  • Client reporting requires expensive white-label add-ons on top of analytics platforms
How MAISNER solves it
  • Full quant terminal in the browser — €99/mo Starter · €399/mo Professional (no post-launch price increase), no setup, no infrastructure required
  • RMT covariance cleaning, CVaR via LP, Black-Scholes + BAW — all production-ready, 779/779 tests pass
  • No code required — enter tickers and weights, live FMP + Polygon data refreshed on every request
  • 20 analytical modules covering the full investment process: construction → risk → stress → research → monitor
  • White-label PDF with custom firm name, tagline, and logo — generated in seconds for client delivery
Typical workflow
01
Input Portfolio

Enter tickers + weights, or load holdings as share counts. Multi-asset: add options, bonds, futures alongside equities. Save for later.

02
Analyze Risk

Sharpe, Sortino, VaR 95%, CVaR 95%, max drawdown, beta, quality score, sector breakdown, BHB attribution vs SPY.

03
Optimize

RMT-cleaned covariance. Locked weights, sector caps, min/max bounds. Max Sharpe · Min Variance · Equal Weight — all in one run.

04
Stress & Research

Replay historical crises. Custom macro shocks. Walk-forward backtest with PSR overfitting control. 11-factor IC analysis.

05
Report & Monitor

Institutional PDF — standard or white-label. Live P&L in Portfolio Monitor with FX conversion and real-time prices.

What actually changes
Before

"Let me get back to you on the risk numbers" — because they're still sitting in an Excel model that takes two hours to rerun.

After

You run the analysis live during the client call. Sharpe, VaR, stress scenarios, stop levels. In front of them. Done in 12 seconds.

Before

Portfolio construction means picking weights that feel right and checking Sharpe in Excel. Monte Carlo is something you read about in papers.

After

Markowitz MVO with Marchenko-Pastur RMT covariance cleaning. 10,000-path Monte Carlo. 5-mode optimizer. Sector constraints. You click run.

Before

Client reports are manually formatted Word docs or a €200/month white-label PDF add-on on top of a €1,500/month analytics platform.

After

Institutional-quality PDF with your firm name and logo, generated in 3 seconds. Included in every plan. No add-ons.

Before

Preparing a KID document for a client portfolio means either outsourcing it or spending half a day with the regulation text open.

After

PRIIPs KID — EU Regulation 1286/2014 compliant, Method 1 bootstrap, full EN/NL/DE PDF — generated in under 10 seconds from your portfolio.

All 20 modules
Portfolio Optimizer includes 5 optimization modes: Standard · Conservative · Balanced · Aggressive · Dividend
Portfolio Construction5 modules
01
Portfolio Optimizer

Markowitz MVO + RMT covariance cleaning (Marchenko-Pastur). Quality tilt via ROE, margins, debt coverage. 5 modes: Conservative (min variance), Balanced (vol cap), Aggressive (max return), Dividend (yield tilt), Standard (max Sharpe). Outputs Max Sharpe + Min Variance + Equal Weight simultaneously.

MVO · RMT · 5 MODES · STARTER+
02
Constrained Optimizer & Analyzer

Full constraint support: locked weights, min, max, range, sector caps. 2 engines: Standard MVO (Starter) and CVaR LP (Professional). 5 optimization modes. Constrained Analyzer uses current holdings (shares × price) and generates an exact rebalancing trade list.

KKT · SECTOR CAPS · 5 MODES · CVaR: PRO
03
Multi-Asset Optimizer

Combine equities, ETFs, options (BS+BAW), bonds (Vasicek), futures, and crypto in one optimization. CVaR via linear programming on Cholesky-correlated scenarios. Portfolio-level Greeks (Δ, Γ, V). 5 optimization modes.

CVaR LP · BAW · VASICEK · 5 MODES · PROFESSIONAL
04
Long/Short Optimizer

2 portfolio modes: Long/Short (Σw=1) and Market Neutral (Σw=0). 5 objective modes: Standard, Conservative, Balanced, Aggressive, Dividend. Effective return adjusted for borrow rate on short positions. Gross/net exposure constraints.

L/S MVO · MARKET NEUTRAL · 5×2 MODES · STARTER+
05
Long/Short Analyzer

Analyze existing L/S book from actual positions: ticker, quantity, direction, purchase price. Live mark-to-market P&L, gross/net exposure, L/S ratio. RMT-based VaR/CVaR/Sharpe. Sector breakdown by leg. Beta-adjusted stress. 10Y Monte Carlo.

LIVE P&L · VaR/CVaR · SECTOR BY LEG · STARTER+
Analytics & Risk5 modules
06
Portfolio Analyzer

Full risk/return breakdown on existing holdings: Sharpe, Sortino, VaR 95%, CVaR 95%, max drawdown, beta, quality score, sector breakdown. Modes: Standard, Multi-Asset (Professional), Constrained (generates rebalancing plan).

VaR · CVaR · MAX DD · SORTINO · STARTER+
07
Stress Testing

Historical: 2008 GFC, COVID-19, Dot-com, LTCM, Volcker shock, European Debt Crisis, 2022 Rate Shock, Black Monday, and more. Advanced (Professional): custom macro shock builder — independent market, sector, and individual ticker shocks.

HISTORICAL · CUSTOM MACRO · STARTER+ · ADV: PRO
08
Leverage Analyzer

Kelly f*, f*/2, f*/4 optimal leverage fractions. Leveraged return and volatility decay table at 1×–3×. Margin call level: US (25% maintenance) or EU (50%). Monte Carlo liquidation probability via 5K GBM paths. 5 stress scenarios at chosen leverage.

KELLY · GBM MC · US/EU MARGIN · MULTI-ASSET: PRO
09
Stop Loss Calculator

Paleologo APM volatility-based stop levels per position. Portfolio VaR drawdown limit. Sharpe-adjusted stop (non-binding when ≤0). GBM first-passage barrier probability for long and short positions. Kelly connection. Re-entry price.

GBM BARRIER · PALEOLOGO APM · SHARPE-ADJ · MULTI-ASSET: PRO
10
Efficient Frontier

1,500 random portfolios plotted on return/volatility space. Click any scatter point to see exact weight breakdown. Current and optimized portfolio positions marked. Linear assets only — non-linear payoffs excluded to preserve frontier geometry.

1500 PORTFOLIOS · INTERACTIVE · STARTER+
Research Terminal4 modules
11
Factor Library

11 factors: Value (P/E, P/B), Quality (ROE, margins, debt coverage), Momentum (52W, 12M-1M), Low Volatility, Growth (revenue, EPS), Yield (FCF, dividend). IC and ICIR per factor. Quintile spreads. IC trend sparkline. Hit-rate reliability flag for n<8.

IC · ICIR · 11 FACTORS · QUINTILE SPREADS · PRO
12
Signal Analysis

Forward-return IC at 1/3/6/12-month horizons for all 11 factors. OLS ensemble scoring. Long-position hit rate with reliability check. Identifies the highest-predictive-power factors for your ticker universe at your chosen forward period.

FORWARD IC · OLS ENSEMBLE · HIT RATE · PROFESSIONAL
13
Walk-Forward Backtest

Custom factor-based strategy DSL: select top N stocks by factor, set weights (equal/factor/market-cap), rebalance monthly or quarterly. Configurable IS/OOS split, transaction costs. Probabilistic Sharpe Ratio (PSR) controls for multiple-trial overfitting.

PSR · WALK-FORWARD · IS/OOS · PROFESSIONAL
14
Performance Attribution

Brinson-Hood-Beebower (BHB) decomposition vs SPY benchmark. Allocation, selection (using benchmark weights per BHB 1986), and interaction effects by GICS sector. Non-equity assets excluded and renormalized automatically.

BHB 1986 · SPY BENCHMARK · SECTOR GICS · STARTER+
Instruments3 modules
15
Options Engine

Full chain with live IV. European: Black-Scholes. American: Barone-Adesi-Whaley. Greeks: Δ, Γ, Θ, V, ρ. IV back-calculation via Brent's method. Strategy Builder: straddle, strangle, spread, collar, butterfly. 3D P&L/Greek surface across spot × DTE combinations.

BS · BAW · GREEKS · 3D SURFACE · STRATEGY BUILDER
16
Bond Analytics

Bond pricing via Vasicek mean-reverting short-rate model. Macaulay and modified duration, convexity. YTM and price sensitivity. Used standalone in the Bond module and as part of the Multi-Asset optimizer for fixed-income allocation.

VASICEK · DURATION · CONVEXITY · STARTER+
17
Optimal Portfolio Hedging

Yu & Sun (2017) model minimizes Expected Shortfall (ES = TCE) under background risk. Grid search over futures ratio H* and put strike K* on 10,000 GBM simulation paths. Commodity mode and portfolio mode. Evaluates 4 strategies: Protective Put, Collar, Put+Futures, Futures Only.

YU & SUN 2017 · ES/TCE · 10K GBM · 4 STRATEGIES · PROFESSIONAL
Compliance & Operations3 modules
18
Portfolio Monitor

Live P&L tracking per position with FX conversion (EUR/GBP/CHF/JPY). Real-time prices via Polygon and FMP. Starter: equity/ETF positions. Professional: stocks, ETFs, bonds, options, futures — all asset types with full live valuation.

LIVE PRICES · FX · MULTI-ASSET: PRO
19
Tax Loss Harvesting

Identifies positions with harvestable unrealized losses. Computes tax savings at country-specific CGT rates (NL, DE, CH, US, UK, FR, BE). Wash-sale rule flag. Suggests correlated substitute securities to maintain market exposure after harvesting.

NL · DE · CH · US · UK · WASH-SALE · PROFESSIONAL
20
PRIIPs KID Generator

Generates a Key Information Document per EU Regulation 1286/2014. Summary Risk Indicator (SRI 1–7) via annualised VEV. Method 1 historical bootstrap (10,000 paths). Reduction in Yield (RIY) cost disclosure. PDF in EN/NL/DE — compliant draft for AFM/BaFin review. White-label with firm logo.

EU 1286/2014 · SRI · RIY · EN/NL/DE · WHITE-LABEL · PROFESSIONAL
Quantitative methods
  • RMTMarchenko-Pastur eigenvalue cleaning — removes noise from covariance matrix, standard in systematic hedge funds
  • CVaR LPConditional VaR minimization via linear programming on 5000 Cholesky-correlated scenarios (α=95%)
  • BS + BAWEuropean options: Black-Scholes. American: Barone-Adesi-Whaley. Full Greeks: Δ, Γ, Θ, V, ρ
  • VasicekBond pricing, duration, and convexity via mean-reverting short-rate model
  • PSRProbabilistic Sharpe Ratio (PSR, Bailey 2012) controls for backtest overfitting — probability OOS Sharpe > 0
  • GBMMonte Carlo: 10K paths × 10Y. Stop-loss GBM first-passage barrier probability. Leverage liquidation probability: 5K paths
  • BHBBrinson-Hood-Beebower attribution — allocation, selection (benchmark weights), and interaction effects vs SPY
  • Yu & SunOptimal hedging via ES minimization — grid search over futures ratio H and put strike K under background risk
Data pipeline
  • FMP ProPrimary source: fundamentals (PE, ROE, FCF yield, margins), CAGR, momentum, live quotes. Refreshed per request for all optimizer inputs
  • PolygonReal-time tick data. Primary for portfolio monitor live prices and tax harvesting P&L calculations
  • Price History10-year monthly price matrix on server. Used for covariance, RMT, expected return fill-in, Sortino/MDD, hedging vol/beta
  • Stocks.xlsxInternal fundamentals database. Auto-refreshed from FMP before every analysis run. Staleness threshold: 30 days
  • Options ChainFull chain fetched from FMP per ticker: strike, expiry, IV, volume, open interest. Used by Strategy Builder and Multi-Asset optimizer
Security & validation

779 tests / 36 modules — 779/779 PASS (MQV-2026-001, math only). JWT auth, bcrypt, brute-force protection, rate limiting, IDOR guards, CSP headers. Bandit audit: 0 High severity. HTTPS via Let's Encrypt. Full methodology at /methodology.

Quantitative Engine
Production implementations of established methods — not simplifications or approximations.
RMT
λ_max = σ²(1+1/√q)²
Marchenko-Pastur noise threshold. Removes random eigenvectors from the covariance matrix before MVO optimization.
CVaR LP
min w + 1/((1−α)N) Σ z_k
Conditional VaR via linear programming on 5,000 Cholesky-correlated scenarios. α = 95% default, user-adjustable.
Kelly f*
f* = (μ − r_f) / σ²
Optimal leverage fraction. Half-Kelly (f*/2) and quarter-Kelly applied for practical use with vol decay correction.
GBM
dS = μS dt + σS dW_t
10,000 Monte Carlo paths × 10Y for portfolio simulation. First-passage barrier probability for stop-loss levels.
PSR
Φ((SR̂ − SR*) · √(T−1) / σ_SR)
Deflated Sharpe Ratio. Controls for backtest overfitting across multiple strategy trials (Bailey & López de Prado).
BHB 1986
A_s + S_s + I_s = Active Return
Brinson-Hood-Beebower attribution. Allocation, selection (benchmark weights), and interaction effects vs SPY by GICS sector.
BS + BAW
C = S·Φ(d₁) − K·e^(−rT)·Φ(d₂)
Black-Scholes for European options. Barone-Adesi-Whaley early exercise premium for American options. IV via Brent's method.
Vasicek
dr = κ(θ − r)dt + σ dW_t
Mean-reverting short-rate model for bond pricing. Macaulay & modified duration, convexity, YTM sensitivity analysis.
Currently in early access · Access by invitation only
Starter €99/mo (regular €149) · Professional €399/mo — no price increase · Enterprise from €799/mo
See Features ↓ Request Access →
Philosophy

Transparent by construction.
No model you can't explain.

The methods in MAISNER have been peer-reviewed for decades. We implement them precisely, test them independently, and give you the methodology to show your work.

01 — Fiduciary duty
Every number traces back to a formula.

Marchenko-Pastur cleaning, CVaR-LP optimisation, Paleologo stops — each result derives from a published derivation. Your client asks, you answer. Your regulator asks, you answer.

02 — Open methodology
No proprietary black box.

Every formula is published at /methodology. 779 independent tests verify each one to four decimal places. Any quant can read the derivation and check the implementation.

03 — EU AI Act
Outside the high-risk scope.

AI systems in financial services carry high-risk classification under EU AI Act — conformity assessments, documentation obligations, ongoing monitoring. Classical quantitative models do not. Less compliance burden, same institutional depth.

The quant methods in MAISNER — Markowitz (1952), Black-Scholes (1973), Vasicek (1977), Marchenko-Pastur (1967), Kelly (1956), Bailey & López de Prado (2012) — have decades of academic validation behind them. We implement them correctly, test them rigorously, and give you the methodology to show your work.

Why MAISNER

How it compares

The same quantitative depth as institutional platforms — without the cost, the complexity, or the sales process.

Capability MAISNER
€99–€399/mo
Bloomberg
~€2,500/mo
FactSet
~€800–1,500/mo
Excel / Python
free + dev time
MVO Portfolio Optimization ✓ RMT + Quality tilt ✓ PORT module ✓ Optimizer Manual build
Random Matrix Theory (RMT) covariance cleaning ✓ Marchenko-Pastur — not standard — not standard Manual build
CVaR optimization (LP) ✓ 5000 scenarios ✓ add-on module ✓ add-on Manual build
Multi-asset (options + bonds + futures) ✓ All in one optimizer ✓ Multiple modules ✓ with add-ons ✕ very complex
Options pricing: BS + BAW Greeks ✓ Full chain + 3D surface ✓ OVML module ✓ Options add-on Manual build
Historical stress testing ✓ 25+ crises + custom ✓ Scenario analysis ✓ Stress testing Manual build
Factor library + Walk-forward backtest ✓ 11 factors + PSR ✓ Quant tools ✓ Backtesting Manual build
Portfolio hedging (Yu & Sun optimal) ✓ 4 strategies + ES — not standard — not standard ✕ research paper
Tax loss harvesting (NL, DE, CH, US) ✓ Multi-country CGT — not standard — not standard Manual calc
White-label PDF reports ✓ Custom branding ✓ with licence ✓ with add-on
PRIIPs KID (EU 1286/2014, EN/NL/DE) ✓ SRI · Method 1 · white-label PDF ✓ separate module — limited ✕ manual build
Mathematical validation (test suite) ✓ 779 tests / 36 modules ✓ established ✓ established ✕ user's responsibility
No setup, no code, browser-based ✕ terminal install ✕ onboarding needed ✕ requires dev work
Monthly cost €99 – €399
Professional locks in forever
~€2,500 ~€800–1,500 €0 + weeks of dev

Bloomberg and FactSet comparisons are approximate — exact feature availability depends on subscription tier and modules. "—" indicates the feature is not part of the standard offering at any tier.

Live Preview

See it in action

Interactive preview of the terminal interface.

Optimizer
Stress Test
Research
Options Risk
Constrained
Leverage
Stop Loss
Portfolio OptimizerMax Sharpe · RMT · Quality Tilt · 7 Assets
Sharpe (Optimal)1.42
Ann. Return+14.8%
Volatility11.2%
CVaR 95%−8.4%
Performance Metrics
Current Portfolio
Sharpe Ratio0.94
Annual Return11.2%
Volatility14.8%
CVaR 95%−12.4%
Max Drawdown−18.3%
Beta vs SPY0.82
Optimal Allocation
Sharpe Ratio1.42 +0.48
Annual Return14.8% +3.6pp
Volatility11.2% −3.6pp
CVaR 95%−8.4% +4.0pp
Max Drawdown−12.1% +6.2pp
Beta vs SPY0.64 −0.18
Monte Carlo 10Y · Efficient Frontier
Monte Carlo Efficient Frontier
Optimal Weights
TickerSectorOpt WtReturnVolQuality
AAPLTechnology24.1%+18.2%14.8%0.87
MSFTTechnology20.0%+22.1%16.2%0.91
ASMLTechnology16.3%+27.4%22.1%0.83
NVDATechnology15.0%+44.7%38.4%0.72
GOOGComm. Svc.12.8%+12.8%18.7%0.79
JPMFinancials7.0%+9.2%12.4%0.81
BRK.BFinancials4.8%+8.8%11.8%0.78
Stress TestHistorical Scenario Replay · 10 Crises
Worst Scenario2008 GFC
Current Loss−38.4%
Optimal Loss−21.7%
Improvement+16.7pp
Scenario P&L — Current & Optimal Portfolio
Stress test scenario chart
Historical Scenarios
ScenarioPeriodCurrent P&LOptimal P&LMax DD (Curr)Improvement
2008 GFCSep 08 – Mar 09−38.4%−21.7%−42.1%+16.7pp
COVID-19 CrashFeb – Mar 2020−24.8%−14.2%−27.5%+10.6pp
2022 Rate ShockJan – Dec 2022−18.3%−9.8%−21.2%+8.5pp
Dot-com CrashMar 00 – Oct 02−44.2%−28.7%−52.0%+15.5pp
LTCM CrisisAug – Sep 1998−14.2%−8.4%−16.8%+5.8pp
European DebtJul – Sep 2011−11.4%−7.2%−14.1%+4.2pp
Black MondayOct 19, 1987−21.8%−13.4%−22.6%+8.4pp
Factor Explorer11 Factors · IC · ICIR · Quintile Spreads · 3M Horizon
Best Factormomentum_12m
Mean IC0.072
ICIR0.84
IS Sharpe / PSR1.84 / 0.89
Factor IC Summary — 3-Month Forward Returns
FactorCategoryMean ICICIRHit RateL/S Spread
momentum_12mMomentum0.0720.8458.3%+9.4%
quality_compositeQuality0.0640.7156.1%+7.8%
value_compositeValue0.0510.5854.2%+5.9%
low_volatilityRisk0.0480.6255.0%+6.2%
fcf_yieldQuality0.0410.4953.4%+4.8%
momentum_1mMomentum0.0120.1851.2%+1.4%
pe_ratioValue−0.008−0.0949.4%−0.8%
Backtest Equity Curve · Factor Quintile & IC Trend
Backtest Factor quintile
IS Sharpe: 1.84 · OOS Sharpe: 1.21 · Degradation: 34.2% · PSR: 0.89 — Passes OOS validation
Options Risk VisualizerAAPL CALL K=245 · exp 2026-11-20 · BAW model
Spot$255.92
Delta0.6726
Gamma0.00732
Theta/day−0.054
Implied Vol24.3%
Greeks Summary
Position
Option TypeCALL · American (BAW)
Strike / Spot$245 / $255.92
MoneynessITM (+4.5%)
DTE227 days
Live Price$28.50
Risk Parameters
Delta (Δ)0.6726
Gamma (Γ)0.00732
Theta (Θ)−$0.054/day
Vega (V)0.733
Break-even$273.50
P&L Profile & Greeks vs Spot
Options P&L and Greeks
Constrained Optimizer3 Locked · 2 Bounded · 4 Free · KKT Verified
Sharpe (Opt)1.27
Free Budget48.5%
Constraint Cost−0.15 SR
Weight Allocation with Constraints
TickerConstraintLocked WtOptimal WtStatus
AAPLLOCKED20.0%20.0%FIXED
MSFTLOCKED15.0%15.0%FIXED
BRK.BLOCKED16.5%16.5%FIXED
ASML5% – 20%18.4%FREE
JPMMIN 5%10.2%FREE
NOVO-B.COSTANDARD19.9%FREE
Leverage AnalyzerKelly Criterion · Margin Call · 5K GBM paths
Kelly f*4.54×
Half Kelly2.27×
MC Liq. Prob (2×)0.02%
Margin Call Level (EU)−50.0%
Leverage Table — Return / Vol / Sharpe at 1×–3×
LeverageNet ReturnVolatilitySharpeVol DecayMC Drop
1.0×+16.9%17.0%0.760.0%75.0%
1.5×+22.6%25.5%0.73−0.7%66.7%
2.0×+28.3%34.0%0.68−1.4%62.5%
2.5×+34.0%42.5%0.61−2.6%60.0%
3.0×+39.7%51.0%0.52−4.3%58.3%
Leverage Impact — Return & Sharpe at 1×–3×
Leverage return and Sharpe chart
f* = (μ − r_f) / σ² · Vol decay = −½(L²−L)σ² · EU margin maintenance = 50%
Stop Loss CalculatorPaleologo APM · k=2.0 · Horizon 30d · GBM Barrier
Portfolio VaR 95%/30d−7.2%
Max DD Limit−15.6%
Sharpe-Adj. Stop12.3%
Kelly f*2.14×
Position Stop Levels
TickerWeightDaily σStop %Stop PriceBarrier ProbRe-entry
AAPL34%1.182%−12.94%$174.128.4%$171.30
MSFT33%1.098%−12.01%$351.927.1%$346.20
GLD33%0.641%−7.01%$213.853.2%$212.10
GBM Barrier Probability & Stop Levels by k
Stop loss barrier probability chart
stop% = k × daily_σ × √T · Barrier prob = N(−d₁) + exp(−2ν·log_ratio/σ²)·N(−d₂)
Pricing

Transparent pricing. No hidden fees.

Institutional quantitative depth at a fraction of the cost. No hidden fees, no lock-in contracts.

Early Access Discount Early access pricing: Starter €99/mo (regular €149). Professional €399/mo — no price increase after launch. Early access users lock in their rate permanently.
Individual
Starter
€99/month
€149
Regular price €149/month after early access
Early access — locks in at €99 vs €149 after launch
  • Portfolio Analyzer & Optimizer
  • Constrained Optimizer (sector/weight limits)
  • Stress Test (historical scenarios)
  • Monte Carlo (10,000 paths)
  • Leverage Analyzer (Simple — stocks & ETFs)
  • Stop Loss Calculator (Simple — stocks & ETFs)
  • Long/Short Analyzer
  • Long/Short Optimizer
  • Custom risk-free rate, max weight & CVaR confidence
  • Up to 10 saved portfolios
  • PDF export
  • Email support
Firm / RIA
Enterprise
From €799/mo
per seat · custom pricing on request
Multi-seat · SLA · onboarding included
  • Everything in Professional
  • Multiple user seats
  • Team portfolio sharing
  • Custom SLA & uptime guarantee
  • Onboarding & training session
  • Custom branding & domain
  • Dedicated support channel
  • API access (roadmap)
Get Started

Request Access

MAISNER is in early access — by invitation only. Submit your details and we'll be in touch within 48 hours.

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MAISNER — Terms of Service & Disclaimer
MAISNER is a quantitative analytics platform — it provides mathematical decision-support tools, not investment advice and not a regulated financial service. By accessing the platform you confirm that you have sufficient knowledge and experience of financial markets and portfolio management to independently evaluate its outputs, and that you agree to these Terms.
What MAISNER Stands Behind

Our quantitative engines are independently validated across 779 tests covering 36 modules — Markowitz+RMT optimisation, PRIIPs block bootstrap, GBM barrier probabilities, Paleologo stop-loss construction, Yu & Sun hedging simulation, and more. Every formula is verified against independent Python reference implementations with no shared code paths. The complete validation report is published at /validation.

We stand behind the mathematical correctness of every computation this platform produces. What no analytical software can control is the behaviour of markets, the accuracy of third-party data providers, or the investment outcomes of decisions made using our outputs. The sections below define that boundary precisely.

1. Platform Standards & Availability

MAISNER is developed and maintained to professional software standards, with documented uptime monitoring, security audits, and ongoing analytical validation. As with all software-as-a-service platforms, access is provided "as available" — we cannot guarantee uninterrupted service or that every feature will suit every specific use case.

  • All outputs (weights, metrics, scenarios, reports) are mathematical computations derived from historical data and declared model assumptions. They reflect the model, not a guarantee of market behaviour.
  • Features and pricing may evolve; material changes will be communicated in advance.
  • Access may be suspended for breach of these Terms or for security reasons.
2. Our Role: Decision-Support, Not Advice

Nothing MAISNER produces constitutes investment advice, portfolio management, or any regulated financial service — regardless of who is using it or how outputs are applied. In keeping with MiFID II (Directive 2014/65/EU) and applicable regulation, the analytical work is ours; the investment decision, suitability assessment, and any fiduciary duty remain entirely yours.

  • The operator is not a licensed investment advisor, portfolio manager, broker-dealer, or PRIIP manufacturer.
  • Optimised portfolios, factor scores, stress scenarios, and risk metrics are quantitative outputs — your own judgement determines how they are applied.
  • Historical backtests and Monte Carlo simulations illustrate model behaviour under past and simulated conditions; they are not forecasts of future performance.
  • PRIIPs KID drafts are analytical tools to support the responsible PRIIP manufacturer. Final KIDs must be reviewed, validated, and issued by that manufacturer under applicable regulation.

If you manage assets on behalf of others, you are solely responsible for compliance with all regulations governing your advisory, management, or trading activities.

3. Who This Platform Is For

MAISNER is designed for two groups of users:

  • Licensed financial professionals — independent wealth managers, RIAs, family offices, fund managers, and similar practitioners who use quantitative tools as part of their professional practice (all plans).
  • Knowledgeable self-directed investors — individuals with meaningful experience in financial markets who understand the tools they are using: portfolio optimisation, risk metrics, factor analysis, stress testing, and backtesting, and who apply these tools to their own portfolios (Starter plan).

By accessing the platform you represent and warrant that:

  • You have sufficient knowledge, experience, and understanding of financial markets and quantitative methods to evaluate and independently apply the platform's outputs.
  • You understand that all outputs are mathematical models derived from historical data and declared assumptions — they are not guarantees or forecasts of future returns.
  • If you manage assets on behalf of others, you are duly authorised and comply with all applicable regulations.
  • If you are accessing on behalf of an entity, you have authority to bind that entity to these Terms.

MAISNER is not appropriate for persons with no financial market experience who are seeking investment recommendations rather than quantitative tools.

4. Limitation of Liability

To the maximum extent permitted by applicable law:

  • The operator shall not be liable for any direct, indirect, incidental, special, consequential, punitive, or exemplary damages arising from your use of or reliance on the platform, including but not limited to: investment losses, trading losses, lost profits, lost data, business interruption, or reputational damage.
  • The operator shall not be liable for any damages arising from inaccuracies in market data sourced from third-party providers, model errors, data outages, or system failures.
  • Where liability cannot be fully excluded by law, the operator's total aggregate liability for all claims arising under or in connection with these Terms is limited to the subscription fees actually paid by the user in the twelve (12) months immediately preceding the claim.
  • The operator shall not be liable for any claim brought more than twelve (12) months after the event giving rise to the claim first occurred.
5. Indemnification

You agree to indemnify, defend, and hold harmless the operator and its affiliates, officers, and agents from and against any claims, liabilities, losses, damages, costs, and expenses (including reasonable legal fees) arising out of or related to: (i) your use of the platform; (ii) your violation of these Terms; (iii) any investment decision you make based on platform outputs; (iv) your violation of any applicable law or regulation; or (v) any third-party claim arising from your use of the platform.

6. Data Accuracy & Third-Party Data Sources

Market data is sourced from third-party providers (Financial Modeling Prep, Polygon.io, Yahoo Finance). The operator does not control, verify, or guarantee the accuracy, completeness, timeliness, or fitness for purpose of any third-party data.

  • Data may be delayed, stale, incorrect, or missing for certain securities or time periods.
  • Fundamental data reflects provider-reported values and may differ from official regulatory filings.
  • EU, emerging market, and non-US ticker coverage may be incomplete.
  • The operator accepts no liability for any loss caused by erroneous third-party data.
7. Acceptable Use

You agree not to: (i) use the platform for any unlawful purpose or in violation of any applicable regulation; (ii) share, sublicense, or resell access to any third party; (iii) attempt to reverse-engineer, decompile, or extract the platform's source code, algorithms, or models; (iv) use automated means to scrape, harvest, or extract data from the platform; (v) attempt to circumvent security controls or access accounts other than your own; (vi) use outputs to create competing products without written permission.

8. Subscription, Payment & Cancellation

Subscriptions are billed monthly or annually in advance. All fees are exclusive of applicable taxes (including VAT). Fees are non-refundable except where required by mandatory applicable law. You may cancel at any time; cancellation takes effect at the end of the current billing period. The operator reserves the right to modify pricing with thirty (30) days' notice. Continued use after a price change constitutes acceptance of the new pricing.

9. Data Protection (GDPR)

The operator processes personal data as data controller in accordance with Regulation (EU) 2016/679 (GDPR). The legal basis for processing is performance of contract (Art. 6(1)(b) GDPR) — processing is necessary to provide the platform services you have subscribed to. Where processing goes beyond contract performance (e.g. security logging, fraud prevention), the legal basis is the operator's legitimate interests (Art. 6(1)(f) GDPR).

Data collected: account credentials (name, email address, bcrypt-hashed password), session tokens, usage logs (actions, timestamps, IP addresses), and portfolio data you voluntarily upload. No special-category data (Art. 9 GDPR) is collected or required.

Your rights under GDPR (Arts. 15–21): You have the right to access, rectification, erasure, restriction of processing, data portability (Art. 20 — receive your data in a structured, machine-readable format), and to object to processing based on legitimate interests. To exercise any right, contact maisnerplatform@gmail.com. Requests will be handled within 30 days.

Supervisory authority: You have the right to lodge a complaint with the Belgian Data Protection Authority (Autorité de protection des données / Gegevensbeschermingsautoriteit) at dataprotectionauthority.be or any competent supervisory authority in your EU member state of habitual residence.

Personal data is not sold, rented, or disclosed to third parties except where required by law or strictly necessary for service delivery (e.g. hosting infrastructure). Data is retained for the duration of the subscription plus a maximum of 24 months thereafter, unless earlier deletion is requested.

10. Intellectual Property & Output Ownership

The platform's underlying software, algorithms, quantitative models, source code, and trademarks are the exclusive intellectual property of the operator and are protected by applicable IP law. No licence to copy, adapt, or redistribute any part of the platform is granted except as expressly stated in these Terms.

Outputs generated by the platform (optimized portfolio weights, risk metrics, scenario results, factor scores, PDF reports, PRIIPs KID drafts, and any other analytical outputs) belong to the user who generated them. The operator asserts no ownership over user-generated outputs.

User data (portfolios, ticker lists, constraint settings) remains the property of the user at all times. The operator processes this data solely to deliver the contracted service and does not use it for any other purpose, including model training or benchmarking, without explicit written consent.

11. Data Processing Agreement (DPA — Art. 28 GDPR)

Where a user (e.g. a wealth manager, RIA, or family office) inputs personal data relating to their own clients or third parties into the platform, the user acts as data controller and the operator acts as data processor within the meaning of Art. 4(8) and Art. 28 GDPR.

In this capacity, the operator: (i) processes such data only on documented instructions from the controller; (ii) ensures persons authorised to process the data are bound by confidentiality; (iii) implements appropriate technical and organisational security measures (Art. 32 GDPR); (iv) assists the controller in fulfilling data subject rights requests; (v) does not engage sub-processors without prior written authorisation; (vi) deletes or returns all personal data upon termination of services.

Enterprise and Professional subscribers who process client personal data must execute a formal DPA before doing so. A standard DPA is available upon request by emailing maisnerplatform@gmail.com. Failure to execute a DPA does not relieve the controller of its GDPR obligations; it is the user's responsibility to ensure a compliant processing relationship is in place before uploading any client personal data.

12. Governing Law & Jurisdiction

These Terms are governed by and construed in accordance with the laws of Belgium, without regard to its conflict of law provisions. Any dispute arising out of or in connection with these Terms shall be submitted to the exclusive jurisdiction of the competent courts of Brussels, Belgium. Notwithstanding the foregoing, the operator reserves the right to seek injunctive or other equitable relief in any court of competent jurisdiction.

13. Changes to These Terms

The operator reserves the right to modify these Terms at any time. Material changes will be communicated via the platform or by email. Continued use of the platform after the effective date of any modification constitutes acceptance of the revised Terms. If you do not agree to the revised Terms, you must discontinue use.

14. Severability & Entire Agreement

If any provision of these Terms is found to be unenforceable, the remaining provisions shall continue in full force and effect. These Terms constitute the entire agreement between you and the operator regarding the subject matter hereof and supersede all prior agreements, representations, and understandings.