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How to Choose the Best B3 Recommended Portfolio in 2026

arthurvalle1 — Tue, 23 Jun 2026 12:16:10 +0000

In 2026 there are dozens of B3 recommended portfolios being offered in the Brazilian market — from large brokerages like XP, BTG and Inter to independent research firms, quantitative systems and influencer lists. Which one to choose?

This guide organizes the decision into 7 objective criteria. Use it as a checklist before signing up for any paid service — and to critically evaluate free ones as well.

1. What is the stock universe

The first question: what set of stocks does the selection come from? Portfolios that rank the entire IBrX-100 (the 100 most liquid on B3) deliver diversification and liquidity. Portfolios focused on small caps promise more alpha but carry higher risk and execution costs. Lists mixing BDRs or ETFs need extra evaluation criteria.

For most individual Brazilian investors, portfolios with a universe of blue chips + liquid mid-caps from B3 are the most practical choice.

2. Update frequency

Recommended portfolios come in three cadences:

Monthly: published at the beginning of each month. Standard for traditional brokerages.
Biweekly/weekly: more active independent research firms.
Daily (with monthly rebalance): quantitative systems like VORTEX QSP — the ranking is recalculated every trading session, but the suggested execution follows a disciplined schedule to control costs.

More frequent cadence isn't necessarily better. What matters is the balance between responsiveness to market changes and turnover cost.

3. Audited historical performance

Look at three numbers before anything else:

CAGR (compound annual return) of the portfolio for the full period, compared to IBOV in the same period. A good portfolio delivers at least 4-5 percentage points of excess return per year over the index.
Sharpe ratio: return per unit of risk. Above 0.8 is already good; below 0.5 indicates the portfolio doesn't compensate for the risk.
Max Drawdown: the largest peak-to-trough decline. Ideally smaller than IBOV's in the same period. Massive drawdowns (above 50%) hurt emotionally and make investors quit.

VORTEX QSP publishes all these numbers on Performance, including month-by-month table without cherry-picking.

4. Methodology transparency

Does the firm explain how it picks stocks? Are the criteria repeatable? If the method depends on "analyst feeling" or "reading the moment," the portfolio isn't replicable — you're buying confidence in the professional, not in a system.

Quantitative portfolios have an advantage here: the rules are explicit, programmed in code, and can be audited. VORTEX QSP documents the 5 pillars (momentum, low volatility, quality, value, low beta) with hysteresis bands for turnover control and risk weighting — all on Technology.

5. Disclosure of bad months

Every strategy has negative months. Serious portfolios publish every month, good and bad, with context. Suspicious portfolios only show selected bull market snippets or use unscaled charts.

If you can't find the complete month-by-month table for the full period, assume it's hiding something.

6. Total subscription cost

Recommended portfolios range between R$ 30 and R$ 500 per month. For investors with R$ 30-100 thousand in capital, the tipping point is around R$ 100/month — above that the subscription can eat a significant portion of alpha.

VORTEX QSP charges US$ 49/month (~R$ 245 at current exchange rate), with annual option US$ 469 (~20% off). Still within the range that makes sense for capital ≥ R$ 30 thousand.

7. Disclaimer and regulation

Every recommended portfolio should make clear:

That it is informational content, not personalized CVM consulting
That past performance does not guarantee future results
That the investor is ultimately responsible for the decision
That the firm does not custody assets or execute orders

If you read communication that seems to promise guaranteed gains, be suspicious. CVM requires explicit disclaimer — whoever omits or hides it is in an irregular situation.

Quick comparison: 3 types of offerings in the Brazilian market

What to avoid

Portfolios that don't publish methodology or complete backtest.
Lists on social media without CVM disclaimer.
Promises of "X% guaranteed return" — that simply doesn't exist in variable income.
Firms that change the recommended portfolio frequently without explaining why.
Lists that only show the positive portion of the period (cherry-picking).
Subscriptions with long lock-in periods or cancellation fees.

How VORTEX QSP delivers on each criterion

VORTEX QSP's B3 recommended portfolio was designed to meet all 7 criteria:

Universe: IBrX-100, most liquid stocks on B3.
Frequency: daily ranking, disciplined monthly rebalance with hysteresis band.
Performance: CAGR +18.2% p.a. vs IBOV +10.2% in 7.3 years walk-forward (see).
Methodology: 5 quantitative pillars described on Technology.
Disclosure: complete month-by-month table, including years when VORTEX QSP underperformed IBOV.
Cost: R$ 249/month or R$ 2,490/year (~17% off).
CVM Disclaimer: published on Terms and Contract.

The intention is not to say it's "the only good one" — but that it passes serious evaluation criteria. Use the table above to compare with any other option you're considering.

B3 National Stocks: A Guide for Individual Investors

arthurvalle1 — Mon, 22 Jun 2026 16:51:58 +0000

B3 (the Brazilian stock exchange) has around 400 listed companies, of which approximately 100 are liquid enough to be part of investment portfolios without headaches. This universe is the terrain where national stock investing happens — historically one of the asset classes that has delivered the most real returns to the long-term Brazilian investor.

This guide covers the essentials to start (or organize) your investment in national stocks as an individual: what to choose, how much to invest, how to pay income tax, and how to avoid the most common mistakes.

What is a stock

A stock represents a fractional ownership stake in a publicly traded company. Buying PETR4 makes you a minority shareholder of Petrobras; buying ITUB4 makes you a shareholder of Itaú. Returns come from two sources:

Price appreciation — the stock rises when the market revises upward its expectations of the company's future cash generation.
Dividends and JCP — periodic payment of the company's profit share to shareholders.

Long-term investors benefit from both sources. Short-term traders bet mainly on appreciation.

How to get started: opening an account and initial capital

Choosing a brokerage

To invest in Brazilian stocks you need an account with a B3-authorized brokerage. The main options in Brazil:

Digital brokerages (XP, Rico, Inter, Nubank, BTG): zero brokerage fees for individual investors on stocks, user-friendly interface, integration with banking apps.
Traditional brokerages: have been custodying stocks for decades, human support, occasionally higher costs.

To get started, any regulated digital brokerage works. The decision of "which one" has less impact than "how to build your portfolio."

Minimum capital

Technically you can buy a single stock. In practice, to invest in national stocks with reasonable diversification (15-20 securities) and diluted costs, the recommended minimum capital is between R$ 10 and R$ 30 thousand.

Below that, consider instead:

ETF BOVA11 or IVVB11 — replicates the IBOV or S&P500 with a single stock. Automatic diversification, ideal to start.
Stock funds — delegated management, administration fee 2-4% per year.

How to choose which stocks to buy

Three common paths for individual investors:

1. Replicate an index via ETF

BOVA11 replicates the IBOV. You buy one stock and get exposure to ~80 largest companies on B3. Cost: ~0.3% per year. Simple, efficient, and historically outperforms most active funds.

Limitation: return = IBOV. If you want to outperform the index, pure ETF isn't enough.

2. Your own fundamental analysis

Read financial statements, follow sectors, build a thesis for each company. Has potential to generate alpha, but requires significant time — weeks a month of study —, reliable data and discipline to avoid cognitive biases. Works for those who enjoy the process. Doesn't work for individual investors of the "I'll look at it in my spare time" variety.

3. B3 recommended portfolio

You delegate selection to a system or research firm, pay a monthly subscription, and follow the suggested portfolio with monthly rebalancing. What is a B3 recommended portfolio explains in detail, and how to choose between options provides 7 objective criteria.

For most individual investors in Brazil, the combination of "ETF as core + recommended portfolio as satellite" is the most pragmatic strategy.

Costs and taxation of national stocks

Operating costs

Brokerage: R$ 0 on digital platforms (individuals), R$ 5-15 per order on traditional brokerages.
B3 fees: ~0.03% on volume.
Custody: R$ 0 on almost all of them now.
Bid-ask spread: invisible cost when buying/selling; higher on illiquid stocks.

Income Tax

Swing trade (stocks sold in different month than purchase): 15% on capital gains. Exemption: if the sum of sales in the month is ≤ R$ 20 thousand, it's exempt.
Day trade: 20% on gains, no exemption.
Dividends: exempt from income tax for the investor (the company pays tax on profits first).
JCP (Interest on Own Capital): withheld 15% at source.

Attention: to track income tax on swing trades, you need to maintain an operations log (brokerage sends monthly) and monthly DARF if there are taxable gains. Platforms like CalculadorIR and Renda Variável Easynvest automate the calculation.

Common mistakes by individual investors

Buying "trending stocks"

When a stock is on everyone's mind (Petrobras during the 2022 rally, MGLU3 during the 2022-2023 historic decline), the impulse is to enter late. Typical result: you buy near the top and sell at the bottom. Systematic discipline beats emotion.

Concentrating in a few stocks

"I only bought Petrobras and Banco do Brasil because they're solid companies" is a sentence that precedes 50% drawdowns when the sector struggles. Diversifying among 15-20 liquid stocks drastically reduces the risk of specific events.

Trying to time the market

"I'll wait for the IBOV to fall before buying." Usually the IBOV keeps rising, and you miss the bull run. When it finally falls, you think it'll fall more. Studies show that investing periodically (DCA) beats timing in ~70% of long windows.

Ignoring transaction costs

Trading a lot generates costs. A portfolio that changes 80% of positions per month loses 1-2 percentage points per year in costs. Serious recommended portfolios have a hysteresis band to control this — VORTEX QSP uses 15/25 (enters the top-15, exits only if it falls outside the top-25).

Long-term strategy

The most important principles to invest in Brazilian stocks successfully over 10+ years:

Regular contributions. Set a monthly amount and invest every month, regardless of headlines. Dollar cost averaging smooths your average price.
Diversification. 15-20 stocks minimum, across different sectors. B3 recommended portfolio delivers this systematically.
Periodic rebalancing. 1-2 times per year, return to target weights. Sell what grew too much, buy what lagged.
Reinvest dividends. Compounding is the main mechanism for real gains in the long term. Don't consume dividends while accumulating.
Hold through crises. At least 2-3 crashes ≥30% will happen in your 20-30 year horizon. Those who sell lose permanently; those who hold and invest more come out ahead.

How VORTEX QSP fits in

For individual investors who want exposure to B3 stocks without becoming an analyst, VORTEX QSP delivers:

B3 recommended portfolio updated at every trading session — you always know what the day's selection is.
Disciplined monthly rebalancing — one execution per month, controlled costs.
Automatic diversification — 15 positions across different sectors, weighted by risk.
Full disclosure — 7.3 years of monthly backtesting at Performance.

Asset allocation: how much to invest in Brazilian stocks

arthurvalle1 — Mon, 22 Jun 2026 16:51:51 +0000

The most important question in any investment decision is not "which stock to buy" — it's how much of your wealth should be in stocks. This decision (asset allocation) explains most of the variation in returns between investors over the long term. Brinson, Hood and Beebower (1986) showed that over 90% of the return variability of institutional funds comes from the allocation decision, not from selection within each asset class.

This post organizes the decision of how much to allocate to B3 stocks (Brazilian stock exchange) in your total portfolio, by profile and time horizon.

Asset classes available to Brazilian investors

Post-fixed income (CDI): Tesouro Selic, daily liquidity CDBs, DI funds. Near-zero risk, return ~CDI.
Fixed-rate and IPCA+ fixed income: Tesouro IPCA, NTN-B, CRA, CRI. Intermediate risk, potentially higher returns than CDI over the long term.
Domestic stocks (B3): Brazilian listed stocks. High risk, historically above CDI returns over the long term, with significant volatility.
International equities: BDRs, S&P 500 ETFs, currency funds. Adds dollar exposure and geographic diversification.
Real estate funds (FIIs): Real estate exposure with monthly income. Intermediate risk.
Alternatives: gold, crypto assets, private equity. Typically a small fraction.

The 100 Rule (and why it's not enough)

The classic rule of thumb says your allocation to equities should be 100 − your age. A 30-year-old investor would have 70% in stocks, a 60-year-old would have 40%. The logic is that younger investors can endure long drawdowns because they have a longer time horizon.

The rule is useful as a starting point, but ignores three important things:

Emotional risk tolerance. If you'll liquidate everything in a 30% drawdown, your ideal allocation is lower — regardless of age.
Income stability. A civil servant with guaranteed salary can take more risk than a self-employed person with volatile income.
Other sources of wealth. Someone who already owns real estate and has a pension plan has more room for risk in their net worth.

Recommended allocation by profile

Conservative (fears drawdowns, prioritizes preservation)

Moderate (accepts volatility, seeks growth)

Aggressive (long horizon, focused on compounding)

How much of the equity slice should be B3

Within the equity block, there's another decision: how much in domestic vs international stocks. Reasons to have local exposure:

Income in reais — minimal currency mismatch
Direct access, low transaction costs
Simplified tax treatment (15% swing trade capital gains tax)
Reasonable universe of liquid companies

Reasons to have international exposure:

Geographic diversification (Brazil ~3% of global economy)
Access to sectors weak on B3 (tech, healthcare)
Protection against structural currency depreciation

Practical reasonable mix: 60-70% domestic (B3) and 30-40% international. Brazilians with more "home bias" can go 80/20; those prioritizing diversification can go 50/50.

Where the recommended B3 portfolio comes in

Once you've decided the slice of domestic stocks — say, 40% of total wealth — comes the question: which stocks to buy? This is where a recommended B3 portfolio saves time and improves results.

Instead of you tracking 100 stocks, analyzing financial statements and ranking manually, a portfolio like VORTEX QSP delivers:

Top picks updated every trading session
Factor decomposition (momentum, low volatility, quality, value, low beta)
Hysteresis band to control turnover
Sector restriction to avoid risk concentration
Auditable 7.3-year public backtest

See the methodology at Technology and performance at Performance.

Common allocation mistakes

Concentration in a single class

Brazilian investors tend to have 100% fixed income (super conservative) or 100% stocks (super aggressive). Both extremes suffer in certain regimes — the first loses purchasing power in high inflation periods; the second suffers extreme drawdowns in crises.

Changing allocation in the heat of the moment

When stocks fall 20%, the impulse is to sell and go back to fixed income. When they rise 30%, the impulse is to increase exposure. Both destroy long-term returns. Define your allocation with a clear head, rebalance periodically (once or twice a year), and stick to the plan.

Not rebalancing

In a bull market, the equity slice grows on its own and exceeds your target allocation. Without rebalancing, you end up with more risk than planned. In a bear market, vice versa — you might be underexposed precisely when prices are attractive.

5-step plan

Define your profile (conservative / moderate / aggressive) honestly — not by what you'd like to be, but by what you can emotionally endure.
Reserve 12 months of expenses in daily liquidity fixed income.
Allocate your remaining wealth according to your profile's table.
For your B3 stock block, use a reliable recommended portfolio (how to choose).
Rebalance 1-2 times per year, returning to target percentages. Forget about it the rest of the time.

Simplicity beats sophistication for most individual investors. What kills returns isn't the wrong allocation — it's changing your plan halfway through.

Recommended Portfolio B3: Complete Guide

arthurvalle1 — Sat, 20 Jun 2026 15:11:05 +0000

Every brokerage, bank, and finance influencer has one — and each claims theirs is the best. Recommended Portfolio B3 is the name given to a list of stocks from the Brazilian exchange selected by some criterion, with the implicit promise that buying them improves the expected performance of stock investors.

But the term has become an umbrella for very different things. This guide explains what separates a genuinely useful recommended portfolio from a marketing list, and how to evaluate before following any recommendation.

What is a recommended B3 portfolio

Mechanically: a selection of B3 stocks — typically between 5 and 20 securities — suggested with public criteria, usually updated from time to time (monthly, biweekly, or continuously). Most conventional research firms publish monthly portfolios; quantitative systems can update more frequently.

The stated purpose is to give retail investors a list of top picks — the most promising stocks at that moment, according to the firm's method. The investor buys (or not) based on this suggestion and follows subsequent updates.

Three types of recommended portfolio

1. Discretionary recommended portfolio

A team of analysts picks stocks based on fundamental research — balance sheet analysis, company conversations, macro views. The firm publishes a monthly list (occasionally biweekly) explaining the rationale for each name.

Strengths: rich context, consideration of qualitative events (management changes, sector regulation), can capture opportunities systems haven't detected yet.

Limitations: dependent on team quality, subjective, difficult to audit (each analyst justifies the month's portfolio differently), prone to confirmation bias and regime shifts.

2. Quantitative recommended portfolio

An automated system ranks the universe of stocks based on statistical factors (momentum, value, quality, low volatility, low beta) and selects top picks via explicit rules. VORTEX QSP is this type.

Strengths: public rules, auditable, rigorous backtests possible (walk-forward without look-ahead), insensitive to human biases, scalable, frequent updates at low cost.

Limitations: doesn't capture qualitative events (governance scandal, sudden regulatory change), depends on historical data quality, unprecedented regimes may challenge the model.

3. Influencer recommended portfolio

Lists published on social media by financial influencers without methodology disclosure, audited historical performance, or exit criteria.

What can be said: without structured disclosure, it's entertainment, not recommendation. There may be good intuition behind it, but most of these lists have fictitious backtests or none at all. Making investment decisions based on them is deciding in the dark.

How to evaluate any recommended B3 portfolio

Before following any recommended portfolio, ask the following questions. If the firm doesn't answer objectively, the portfolio doesn't deserve your trust.

Audited historical performance

Is there a published backtest covering the full period (ideally 5+ years)?
Does the backtest apply walk-forward without look-ahead? What this means.
Were transaction costs deducted (commissions + spreads)?
Does the period include at least one crisis (2008, 2020) or just bull market years?

Method disclosure

Are the selection rules public? Can you mentally replicate the criterion, even without running the numbers?
Is there a clear exit rule when a stock stops performing?
Were the parameters (number of stocks, rebalance frequency, weights) set before the backtest began?

Honesty in disclosure

Does the firm publish both good and bad months?
Is there a maximum drawdown declared and dated?
Is there clear explanation of when the portfolio performs poorly and why?

Total implementation cost

What's the turnover? High-turnover portfolios eat returns through costs.
How many transactions per month does the portfolio typically require?
Compatible with your minimum capital? Some portfolios assume deposits > R$ 100k to dilute commissions.

Monthly recommended portfolio vs. daily-updated

Most Brazilian recommended portfolios are monthly: published at the start of the month, valid until the next update. Modern quantitative systems can offer more frequent updates, even daily.

The advantage of frequent updates is capturing ranking changes between official rebalances. The disadvantage is generating more turnover and cost. VORTEX QSP balances both sides with:

Score recalculated every trading day — you see the current state of the entire ranking daily.
15/25 hysteresis band — only executes the swap when the ranking has changed significantly, avoiding flip-flopping and unnecessary cost.
Disciplined monthly rebalance — suggested execution once a month, even with daily reading.

"Which is the best recommended B3 portfolio?"

The question has no universal answer. Best depends on what you value — gross alpha, drawdown control, operational simplicity, or alignment with a specific investment thesis.

Concrete criteria to compare:

VORTEX QSP delivers all the criteria above (see the numbers). Other Brazilian quantitative portfolios with rigorous disclosure also do — and it would be healthy if there were several so you can compare.

How to use a recommended portfolio in practice

1. Define your allocable capital

Recommended B3 portfolio is an instrument for long-term equity allocation. Don't use emergency money. Reserve 12 months of expenses in fixed income before allocating to stocks.

2. Recommended minimum capital

To implement a portfolio with 15 positions and controlled turnover, practical minimum capital is around R$ 30-50 thousand. Below that, commission costs absorb alpha disproportionately.

3. Discipline your rebalancing

The most common mistake is following partially — buying the "stocks that looked good" and ignoring the others. Recommended portfolio works through complete composition. Buying half doesn't give half the return; it typically gives something much worse.

4. Don't sell on the first decline

Every recommended portfolio — even the best ones — has bad months and even bad years. VORTEX QSP's historical average is positive in ~67% of months; that means ~33% of months are negative. Enduring drawdowns is part of the equation.

Where VORTEX QSP fits

VORTEX QSP is a quantitative-type B3 recommended portfolio, with top picks updated every trading day and disciplined monthly rebalancing. All criteria from the table above are published:

Walk-forward CAGR over 7.3 years: +18.2% p.a. vs IBOV +10.2%
Sharpe 0.96 · Sortino 1.15
Max DD -33.2% (vs IBOV -46.8%)
6/8 years beating IBOV
Controlled turnover via hysteresis band
Month-by-month table published in Performance

It's not the only recommended B3 portfolio in Brazil — and shouldn't be. But it's one that passes the serious evaluation criteria. Use it, compare it, and demand from any other you consider the same transparency.

The 5 Pillars of Systematic Stock Picking

arthurvalle1 — Sat, 20 Jun 2026 15:10:58 +0000

Building a quantitative portfolio is not "rank stocks by one factor and buy the top 10". Anyone who tried that naive approach quickly discovered that: (a) the portfolio becomes concentrated in a few sectors, (b) turnover eats returns via costs, (c) drawdowns are worse than necessary, (d) in some regimes the factor simply fails for months on end.

Serious systematic stock picking requires five complementary pillars. This post explains each one, and how VORTEX QSP connects all five.

Pillar 1: Multifactorial composite score

Instead of betting on a single factor, you combine several orthogonal factors (with low correlation to each other). Each captures a different market "regularity":

Momentum — market under-reaction to news. Dedicated post here.
Low volatility — leverage aversion and lottery preference. Dedicated post here.
Quality — high ROE, controlled debt, stable margins. Captures "good companies stay good".
Value — low Price/Book and P/E relative to sector. Captures "mean reversion" of risk premium.
Low beta — sensitivity to IBOV below 1.0. Close relative of low volatility, but with a nuance: captures systematic beta, not idiosyncratic volatility.

The choice to combine 5 factors (not 3 or 8) is empirical. More factors generate dilution — you end up buying "every stock". Fewer factors increase regime risk. VORTEX QSP fixed 5 before backtesting even began and hasn't changed it.

Equal-weight across the pillars

Why equal weight, rather than weighting by "which factor is best"? Because any optimized weighting is overfitting to the past. Equal-weight is the choice with the lowest performance variance across different regimes — you don't bet on which factor will lead over the next 12 months, you capture a bit from each one.

Pillar 2: Hysteresis band

Here's the trick that separates operational strategy from academic backtest. Without hysteresis, a stock that barely misses the top-15 one month re-enters the next. Transaction costs become what defines the result — usually for the worse.

Solution: a stock enters the portfolio when it reaches the top-15. But it only exits when it falls outside the top-25. The 10 slots between 15 and 25 form the hysteresis band — stocks in that zone "stay" in the portfolio if they're already there, and "don't enter" if they aren't yet.

The effect: monthly turnover drops from ~40% to ~12-15%. Costs drop proportionally. And surprisingly, gross returns remain virtually identical — the band introduces minimal noise to selection but eliminates most unnecessary cost.

Pillar 3: Inverse-variance weighting

After selecting 15 stocks, how much weight should each get? Three common options:

Equal-weight (1/15 each). Simple, transparent, but concentrates risk in the most volatile.
Cap-weighted (proportional to size). Becomes basically concentrated IBOV — you lose stock-picking alpha.
Inverse-variance (proportional to 1/volatility²). More volatile stocks get less weight, more stable stocks get more. Balances risk contribution across positions.

VORTEX QSP uses inverse-variance. The practical result: no single stock contributes more than ~12% of total portfolio risk, even if it has the highest composite score. Drawdowns are more controlled, and Sharpe ratio improves.

Pillar 4: Anti-concentration constraint

Without sector constraints, a multifactorial strategy typically concentrates in 2-3 sectors dominating the ranking at that moment. In 2020 it was tech/digital retail. In 2022 it was commodities. Sector concentration = macro bet disguised as stock picking.

VORTEX QSP constraint: no sector can represent more than 30% of the portfolio. If pure selection would violate this, the algorithm replaces the marginal stocks of the saturated sector with the next-ranked stocks from another sector.

Cost: slight return loss during periods when one sector dominates (and it would be optimal to concentrate). Benefit: much less dependent on any specific macro thesis, more predictable drawdowns, and the product makes sense for an investor who doesn't want extreme sector exposure.

Pillar 5: Disciplined rebalance

The most underestimated and emotionally most difficult pillar. All the engineering above only works if you actually rebalance on scheduled dates, even when:

The market fell and your positions are in the red — exiting now "locks in the loss".
A top-ranked stock seems "too obvious" — your intuition says to wait for a correction.
A stock you love drops out of the ranking — selling it is "abandoning ship".

Discipline beats intuition in the vast majority of cases. The average investor's intuition is good at detecting when "something's wrong" — and those are exactly the moments when the backtest would have followed the rules and the human investor quits.

VORTEX QSP generates signals systematically before each trading session opens. Execution is the subscriber's decision. But the signal exists without day-to-day bias.

How the 5 pillars connect

The pillars are not independent — they operate in sequence:

Composite score (pillar 1) ranks the universe by combined z-score of the 5 factors.
Hysteresis (pillar 2) applies the enter-15/exit-25 rule on the ranking, generating the month's tentative portfolio.
Inverse-variance (pillar 3) calculates individual weights based on recent volatility of each stock.
Sector constraint (pillar 4) checks if any sector exceeded 30%. If yes, replaces marginal positions.
Rebalance (pillar 5) executes before market open, with costs explicitly debited.

What this means for the investor

Well-executed systematic stock picking is less about "finding the next Petrobras" and more about a replicable process that captures documented premiums in the literature, with controlled risk. Returns won't be glamorous — there's no exotic pick narrative that multiplied 10x. But historically it beats IBOV with far superior Sharpe, and without depending on perfect investor timing.

VORTEX QSP is exactly that operationalized for retail investors: the 5 pillars running every month, before market open, in direct interface. No reliance on manager opinion, no timing, no narrative of the moment. Process. And honest disclosure of what returned, what drew down, and what failed.

To wrap up

The 5 pillars look complicated in text. In practice they're fixed rules running automatically. The hard part is the discipline to follow the signal — especially when the market is hurting. If that's difficult for you (it is for most), systematization is exactly the value VORTEX QSP delivers: the hard part is already written in code.

CAGR, Sharpe, Drawdown: How to Read a Backtest Honestly

arthurvalle1 — Mon, 15 Jun 2026 15:04:58 +0000

"Our portfolio returned +30% per year over the last 5 years."

Apparently impressive statement. In practice, almost useless. Without five more data points, it's impossible to know if this is (a) genuinely good management, (b) luck, (c) statistical illusion, or (d) pure overfitting. This post shows the numbers that matter and — perhaps more importantly — what you should ask before believing any of them.

The numbers that matter

CAGR — Compound Annual Growth Rate

The compound annual growth rate. It's the return equivalent per year that, compounded, takes you from initial to final value. Unlike the arithmetic average of annual returns — which overestimates when there's volatility — CAGR is what you actually get.

Caution 1: CAGR critically depends on the start and end points. If you begin the backtest in February/2009 (crash bottom) and end in January/2021 (pre-high-Selic peak), the CAGR of any stock portfolio will look magical. Always ask: what's the full period? Does it include at least one bear cycle?

Caution 2: CAGR alone says nothing about risk. A portfolio with +20% CAGR and -70% maximum drawdown is very different from one with +14% CAGR and -25% maximum drawdown — the second is objectively better for someone who needs the money within a certain timeframe.

Sharpe ratio

Excess return over the risk-free rate, divided by volatility. In Brazil, risk-free rate = CDI. (CAGR − CDI) / annualized volatility.

Sharpe above 1.0 is rare and very good. Above 1.5 suggests something between "exceptional strategy" and "backtest with bias." IBOV historically runs Sharpe between 0.3 and 0.6 — so anything well above 1.0 over a long window deserves technical skepticism before admiration.

VORTEX QSP delivers Sharpe of 0.96 in 7.3 years walk-forward. Significantly above IBOV (~0.53), but within plausible range for multifactorial strategy — it's not the type of number that screams "overfitting."

Sortino ratio

Variant of Sharpe that penalizes only downside volatility (downside deviation), not upside. Makes more economic sense — investors don't complain about positive volatility. Sortino above Sharpe is typical of favorable asymmetric strategies.

Max drawdown

The largest peak-to-trough decline in the equity curve during the entire period. It's the number that hurts you most emotionally when it happens. Strategies with smaller drawdowns have much higher adherence rates — because the investor doesn't give up mid-way.

VORTEX QSP had Max DD of -33.2% in 2020-2022 (pandemic + interest rate shock). IBOV had -46.8% in the same period. 14 percentage points less is the difference between "a portfolio that hurts but you can handle" and "a portfolio you liquidate at the bottom."

Information ratio

Alpha over the benchmark, divided by tracking error. Measures consistency of outperformance. IR > 0.5 is already considered excellent in equity quant; > 1.0 is extremely rare.

Beat rate

Percentage of windows (years, months) in which the strategy beat the benchmark. VORTEX QSP beats IBOV in 6 of 8 years — beat rate of 75%. Beat rates of 100% should raise suspicion; the market has enough noise that nobody wins all the time.

The three questions that separate honesty from fiction

1. What's the universe?

A strategy "that returned 25% per year buying Brazilian small caps" is radically different from one that returned the same buying IBOV blue chips. Small caps have more alpha potential but also less liquidity, more slippage, and the backtest may be exaggerated because bankrupt stocks were retroactively removed from the universe.

VORTEX QSP uses IBrX-100 universe with minimum liquidity. It's a conservative universe — alpha may be lower than in small caps, but it's replicable in real life without significant market impact.

2. What's the period?

Period too short (3-5 years) doesn't cover different regimes. Period too long (10+) risks looking backward. Empirical sweet spot: 7-10 years covering at least one bull and one bear. VORTEX QSP covers 7.3 years including pandemic, interest rate shock, two governments.

3. What's the exit rule?

Every strategy makes mistakes. The question is: when a sequence of errors arrives, what happens? Strategies with disciplined rebalance logic (monthly, fixed rules) tend to perform as the backtest suggests. Strategies that depend on "manager feel" for entries and exits rarely perform what they claim.

Warning signs

Be especially careful with:

Backtest without costs. Serious industry discounts 10-20 bps per side in liquid equities. Without this, any number is inflated by 1-3 percentage points per year.
"Strategy tested over 30 years with return X%." If the strategy was formulated in 2023 and tested over 30 years until 2023, it's overfitting by construction. The only honest test is forward — after the formulation date.
Graphs without scale. Equity curve without proper Y-axis is visual manipulation. Always demand month-by-month breakdown.
Focus on absolute return without comparing to IBOV+CDI. +15% p.a. is different in a 13% Selic environment (CDI wins on its own) versus 2% Selic (CDI falls short).
No period of underperformance. Every active strategy has windows where it loses to the benchmark. If the backtest shows perfect outperformance every month, assume cherry-picking.

How VORTEX QSP presents itself

The Performance page publishes all numbers — CAGR, Sharpe, Sortino, Max DD, beat rate, information ratio — with full month-by-month breakdown, no filters. Good months and bad months appear the same way. Including the two years VORTEX QSP lost to IBOV.

Walk-forward without look-ahead is described in detail in the post Walk-forward backtest: how not to fool yourself.

To close

Historical performance does not guarantee future performance. This disclaimer is true but insufficient. The more important question is not whether the past repeats — it's whether the method is replicable, auditable, and disciplined. Rigorous backtests (walk-forward, frozen parameters, realistic costs) are a necessary condition. They don't provide guarantees, but they separate serious conversation from marketing.

Everything VORTEX QSP publishes has met these criteria. It doesn't mean it will work in the next cycle. It means if it doesn't work, it will be because the market changed structurally — not because the backtest was an illusion.

What is the momentum factor and why it works on B3

arthurvalle1 — Mon, 15 Jun 2026 15:04:44 +0000

In 1993, two academics from the University of Illinois — Narasimhan Jegadeesh and Sheridan Titman — published a paper in the Journal of Finance that changed how the market thinks about stock selection. The title was dry: Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency. The discovery, however, was not: stocks that rose the most over the past 3 to 12 months tend to continue rising over the next 3 to 12 months. And the effect was large enough to deliver statistically significant alpha even after discounting transaction costs.

Thirty-three years later, the momentum factor continues to survive in global data — including on B3. This post explains what exactly momentum is, why it works despite being known for decades, and how VORTEX QSP uses the factor within a multifactorial architecture.

What it is, mechanically

The canonical formulation is simple. At each rebalancing moment (monthly, in the case of VORTEX QSP), you calculate for each stock in the universe the cumulative return over the past L months, excluding the most recent month (to avoid the short-term reversal effect, which operates over 1-4 week periods). This L is called the lookback period. Typical values range between 6 and 12 months.

Next, you rank the universe from highest to lowest cumulative return. Stocks at the top of the ranking enter a long portfolio. In the original paper, Jegadeesh-Titman also built the short leg with the worst performers; in practical Brazilian commercial use, most investors ignore the short due to operational constraints and still capture most of the premium.

Why it works

There are three mainstream explanations — two behavioral, one based on risk.

1. Under-reaction to news

Investors take time to fully incorporate good news. When a company surprises with earnings, the price rises on the day, but typically continues rising in the months following as analysts revise estimates, institutional funds rebuild positions, and the market processes the new reality. The same applies in the opposite direction — stocks that disappoint continue to fall. Bernard and Thomas (1989) documented this post-earnings announcement drift in detail and it explains much of momentum.

2. Over-reaction over longer horizons

Investors who entered late extrapolate the recent past as the future. "Rose 40% in 6 months, will keep going." Demand feeds the price. The effect eventually reverses — momentum reverts over 3-5 year horizons — but in the 3-12 month interval the trend persists.

3. Risk that nobody measured correctly

Defenders of the Efficient Market Hypothesis argue that momentum is not alpha but rather compensation for some type of risk that CAPM doesn't capture — perhaps crash risk (momentum breaks violently in sudden reversals, like April 2009 globally or November 2020 in Brazil). Daniel and Moskowitz (2016) showed that the factor has extreme negative returns during market reversals, so part of the premium may indeed be compensation for tail risk.

The three explanations are not mutually exclusive. Momentum probably exists because of a mix of all three — and that's why it's so robust.

Momentum on B3: the empirical evidence

Brazilian studies confirm the factor in our market. Mussa, Rogers and Securato (2009) analyzed data from 1995 to 2008 and found statistically significant momentum in 6 and 12-month windows. Heineberg and Procianoy (2003) had already observed the same pattern in earlier data. More recently, studies using the IBrX-100 universe show average annual returns of 4 to 8 percentage points above the benchmark for the top momentum decile portfolio (before costs).

The good news: the factor is strong in Brazil. The bad news: it's also more volatile here than in developed markets — B3 has fewer liquid stocks, and momentum crashes tend to be sharper. That's why momentum alone is risky. Combined with other factors (such as low volatility and quality), it delivers risk-adjusted returns far superior.

Common mistakes when applying momentum

Lookback too short

Looking at only the last 1-3 months captures noise, not trend. Worse: it captures exactly the short-term reversal — stocks that rose sharply in the last month often fall the following month. The empirical sweet spot is between 6 and 12 months, and excluding the most recent month is part of the method.

Forgetting about costs

Momentum requires frequent rebalancing. Each rebalance generates turnover — and turnover generates brokerage costs, bid-ask spreads and market impact. In academic backtests these costs are underestimated (or ignored). In practice, a poorly calibrated momentum strategy can have excellent gross returns and negative net returns. VORTEX QSP uses a hysteresis band — a stock in the top-15 only leaves the portfolio when it falls outside the top-25 — precisely to control this.

Pure momentum without regime hedging

In sudden reversals, momentum bleeds. Anyone running pure momentum in March 2020 saw sharp drawdown. The solution is not to abandon the factor, but to combine it with others that have low or negative correlation during crises — typically low volatility and quality, which defend during risk-off moments.

How we apply it in VORTEX QSP

Momentum is one of five pillars of the composite score. The calculation is the standard Jegadeesh-Titman one (12-1 lookback), normalized cross-section by z-score, aggregated with equal weight to other factors. The combination reduces the volatility of the isolated factor and improves the Sharpe ratio by around 30-50% relative to pure momentum, in B3 backtests.

The complete architecture explanation is in Technology. The empirical results from 7.3 years walk-forward — including month-by-month decomposition — are in Performance.

To wrap up

Momentum is not the only factor. It's not even the best in isolation (low volatility has higher Sharpe). But it may be the most well-documented factor in modern financial literature, and it captures something real about how information diffuses in the market. Decades of attempts to arbitrage it away haven't made it disappear — it just got more sophisticated to exploit.

For a retail investor in Brazil, trying to implement momentum manually is difficult: it requires clean data, monthly calculations, discipline to rebalance even when the ranking says counterintuitive things, and controlled costs. That's exactly the gap VORTEX QSP solves — systematization of the method with discipline and honest disclosure.

AI Disguised as INSONIA: how generative AI redefines suspense

arthurvalle1 — Sun, 14 Jun 2026 12:15:56 +0000

From a technical standpoint, what makes INSONIA (Google Play) special isn't "having AI" — it's how the AI is used. Rather than a decorative chatbot, there are agents with personas, memory, and conflicting objectives operating within the fiction itself.

Agents with purpose, not loose responses

The disguised AI needs to behave like an ordinary player while hiding its true nature — a classic and difficult problem in behavioral alignment. Maintaining convincing non-disclosure under interrogation pressure requires a level of persona control far beyond "answer in first person."

Real-time atmosphere generation

Text, synthesized voice, and imagery are generated to sustain the mood of each case. The result is art direction and sound design that adapts to the table — something impossible to pre-produce for every possible branching path of an investigation.

Why this matters

True replayability: content doesn't get exhausted because it's recombined, not repeated.
Coherence under improvisation: the system maintains narrative continuity even when players deviate from expectations.
Containment: safety and tone rules keep the experience within the intended register.

It's one of the most mature examples of generative AI applied to narrative entertainment made in Brazil. To feel firsthand how it all comes together, download INSONIA on Google Play.

A IA Disfarçada de INSONIA: como a IA generativa redefine o suspense

arthurvalle1 — Sun, 14 Jun 2026 12:15:53 +0000

Do ponto de vista técnico, o que torna o INSONIA (Google Play) especial não é "ter IA" — é como a IA é usada. Em vez de um chatbot decorativo, há agentes com persona, memória e objetivos conflitantes operando dentro da ficção.

Agentes com objetivo, não respostas soltas

A IA disfarçada precisa se comportar como um jogador comum enquanto esconde sua natureza — um problema clássico e difícil de alinhamento de comportamento. Manter a não-revelação de forma convincente, sob pressão de interrogatório, exige um controle de persona muito acima do "responda em primeira pessoa".

Geração de atmosfera em tempo real

Texto, voz sintetizada e imagem são gerados para sustentar o clima de cada caso. O resultado é uma direção de arte e de áudio que se adapta à mesa — algo impossível de pré-produzir para todas as ramificações possíveis de uma investigação.

Por que isso importa

Rejogabilidade real: o conteúdo não se esgota porque é recombinado, não repetido.
Coerência sob improviso: o sistema mantém o fio da história mesmo quando os jogadores fogem do esperado.
Contenção: regras de segurança e de tom mantêm a experiência dentro do registro proposto.

É um dos exemplos mais maduros de IA generativa aplicada a entretenimento narrativo feito no Brasil. Para sentir na prática como tudo se encaixa, baixe o INSONIA no Google Play.

Analysis: INSONIA's Narrative Game Design Nails Psychological Horror

arthurvalle1 — Sat, 13 Jun 2026 12:35:16 +0000

Evaluated through the lens of someone who works with interactive narrative, INSONIA (Google Play) is an interesting case study in how mechanics and story can be the same thing. It's not "story with a little game bolted on"—the tension emerges from the rules themselves.

Uncertainty as Central Mechanic

The fundamental insight is transforming asymmetric information into the game's engine. Knowing that a hidden AI exists without knowing who it is generates what design calls "productive tension": every decision carries risk, and the player fills the silences with their own paranoia. Psychological horror built by the audience itself.

Rhythm Conducted, Not Scripted

The Master (the AI narrator) plays the role of a skilled human game master: balancing revelation and concealment, accelerating when the group cools down, pulling back when someone gets too close. This dynamic rhythm control is difficult even in traditional tabletop RPGs—seeing it automated with such consistency is remarkable.

Maturity of Tone

The 18+ rating isn't arbitrary: it permits moral ambiguity, grey characters, and endings that don't offer easy catharsis. It's the difference between a case that's "solved" and a case that stays with you.

Verdict

INSONIA proves you can craft authorial suspense on mobile without diluting the experience. For anyone studying or creating narrative games, it's worth analyzing firsthand—available on Google Play.

Análise: o game design narrativo de INSONIA acerta no terror psicológico

arthurvalle1 — Sat, 13 Jun 2026 12:35:13 +0000

Avaliado com olhar de quem trabalha com narrativa interativa, o INSONIA (Google Play) é um estudo de caso interessante de como mecânica e história podem ser a mesma coisa. Não é "história com joguinho colado" — a tensão emerge das regras.

A incerteza como mecânica central

O acerto fundamental é transformar a informação assimétrica em motor de jogo. Saber que existe uma IA disfarçada, sem saber quem é, gera o que o design chama de "tensão produtiva": cada decisão carrega risco, e o jogador preenche os silêncios com a própria paranoia. É terror psicológico construído pelo próprio público.

Ritmo conduzido, não roteirizado

O Mestre (a IA narradora) faz o papel de um bom game master humano: dosa revelação e ocultação, acelera quando o grupo esfria, recua quando alguém está perto demais. Esse controle dinâmico de ritmo é difícil até em mesas de RPG tradicionais — vê-lo automatizado com consistência é notável.

Maturidade de tom

A régua +18 não é gratuita: ela permite ambiguidade moral, personagens cinzentos e finais que não entregam catarse fácil. É a diferença entre um caso "resolvido" e um caso que fica com você.

Veredito

INSONIA mostra que dá pra fazer suspense autoral no celular sem diluir a experiência. Para quem estuda ou cria jogos narrativos, vale a análise em primeira mão — disponível no Google Play.

INSONIA is the +18 party game your game night was missing

arthurvalle1 — Thu, 11 Jun 2026 14:19:51 +0000

Every group has that board game everyone's tired of. INSONIA is here to retire the boredom: it's a mystery party game +18, on your phone, run by an AI that never plays the same night twice. It's on Google Play and the social dynamic is its biggest strength.

Real bluffing

Because there's an AI disguised among the players, the suspicion isn't pretend — it's real. You spend the night reading micro-expressions, hesitations, and that nervous laugh from whoever might be hiding something. It's Mafia with TV series production and a script that responds to you.

For who

Groups who love to laugh, bluff, and accuse each other without mercy.
Those into adult stories with a thriller tone (nothing childish here).
Hosts who want a different night without setting anything up — the AI handles the story.

Pricing that respects your wallet

The model is honest: the first saga is free for whoever hosts, then it's per saga (no subscription trapping you). Gather your crew, download from the Google Play page and let the AI set up the crime — you just need to figure out who did it.