Most investment platforms talk about being "data-driven." At InvesticaWealth, we show you exactly what that means — step by step. Our 4-stage quantitative process transforms raw market data into a disciplined, risk-controlled investment portfolio.
A fully proprietary, end-to-end quantitative framework — operating 365 days a year.
We start with the signal, not the story. While others read brokerage reports and attend earnings calls, InvesticaWealth ingests structured data at scale. Every model decision starts with clean, processed, bias-free inputs.
Every factor in our model is backtested against 10+ years of Indian market data. If it doesn't demonstrate statistical edge, it doesn't enter our model. Full stop.
80+ factors. One disciplined output. Once data is processed, our proprietary Factor Engine scores every stock in our investment universe against a multi-dimensional framework.
| Factor Category | Key Metrics Analysed | Signal Window | Weight |
|---|---|---|---|
| Momentum | 1M, 3M, 6M, 12M price return relative to peers; sector relative strength | Rolling 12M | High |
| Quality | ROE, ROCE, earnings consistency, debt-to-equity, interest coverage | Last 4 Quarters | High |
| Growth | Revenue acceleration, margin expansion, EPS revision velocity | YoY & QoQ | Medium |
| Value | P/E, P/B, EV/EBITDA vs. sector and 5-year historical averages | Current | Medium |
| Volatility | Beta, standard deviation, max drawdown history, Value-at-Risk | Rolling 6M | Medium |
| Liquidity | Average daily trading volume, bid-ask spread, market impact cost | Rolling 3M | Threshold |
Each stock receives a composite InvesticaWealth Score — a single number aggregating performance across all relevant factors, weighted by the strategy's specific mandate. Only the top-ranked stocks advance to the Portfolio Construction stage.
— InvesticaWealth Quantitative Research Team
No single factor dominates. Composite scoring across 80+ variables ensures robust, diversified signal quality.
Factor weights are calibrated specifically for Indian equity market conditions — not imported from global templates.
Every InvesticaWealth Score is recalculated daily. The model always reflects the most current market information available.
A high InvesticaWealth Score isn't a buy signal. Context is. Every top-ranked stock must pass through our Risk Optimisation Layer before portfolio inclusion.
No single stock exceeds a defined maximum weight. No single sector dominates the portfolio. Concentration risk is systematically controlled.
Stocks that are highly correlated with existing holdings are penalised in the optimisation. We build portfolios of diversified return drivers, not clusters of similar bets.
Before finalising the portfolio, we run historical stress tests and Monte Carlo simulations to estimate downside risk across multiple market scenarios.
Final portfolio selection is based not on raw return potential, but on risk-adjusted return — the best return per unit of risk taken.
💡 Key Insight: Our portfolio construction process explicitly models downside risk — not just expected return. This asymmetric focus on capital preservation is what separates InvesticaWealth from naive quant approaches.
Portfolio construction is just the beginning. InvesticaWealth's execution layer ensures your portfolio stays aligned with the model's current signals — always. Set. Monitor. Rebalance. Repeat.
Rebalancing decisions are generated by the model — never by human discretion. Trade lists are published to Smallcase for seamless one-click execution. You see every buy and sell before it happens.
Model scores update daily based on new data inputs. If portfolio risk metrics breach predefined thresholds, the model flags for rebalancing ahead of the monthly schedule.
Monthly reports show exactly which factors contributed to or detracted from returns. Full transparency — always. No hiding behind vague "market conditions" explanations.
InvesticaWealth's methodology is built on decades of empirical finance research — adapted, stress-tested, and continuously refined for the Indian market context.
Academic studies supporting factor-based investing as a source of persistent excess returns in equity markets globally.
Momentum, Quality, and Value factors have demonstrated long-term outperformance across multiple global market cycles since the 1970s.
Every InvesticaWealth strategy is validated against 10+ years of NSE historical data before going live with investor capital.
The research is unambiguous: active stock picking by human portfolio managers consistently underperforms passive indices after fees. Behavioural biases — overconfidence, loss aversion, recency bias — are the primary culprits.
InvesticaWealth's systematic process eliminates these biases by removing human judgment from individual security selection. The model doesn't have a favourite sector. It doesn't get scared during corrections. It doesn't chase narratives.
You've seen how our process works. Now see it working for your wealth. Explore our three quantitative portfolios and find the right fit for your goals.