A proprietary indicator reads the tone of Copom and the Fed the instant they are released, without waiting for human reports.Statement by Bruno Funchal to InfoMoney / Espresso Outliers
What Did Bradesco Asset Build to Read Interest Rate Decisions?
The asset manager built an in-house artificial intelligence model that classifies the tone of decisions by the Central Bank and the Federal Reserve as soon as the texts are published. The system analyzes the wording of official press releases and automatically generates a score measuring whether the monetary authority leaned more toward hiking rates (hawk) or easing policy (dove), making the metric available directly on the Bloomberg terminal.
The innovation was detailed by Bradesco Asset CEO Bruno Funchal during an interview with analyst Clara Sodré on the program Espresso Outliers, reported by InfoMoney. As the executive explained, the management team does not wait for the traditional round of market analyst reports to map the direction of the text: the quantitative model converts the official document into a numerical signal at the exact moment of release.
The technology earned the firm international recognition from British publication Global Finance, which honored Bradesco Asset in the category of Best Innovation in Artificial Intelligence. The initiative reflects an infrastructure that began taking shape back in 2022, ahead of the global popularization of tools like ChatGPT.
Measures the monetary aggressiveness of Copom and the Fed directly on Bloomberg.
Global award for Best AI Innovation in a worldwide corporate competition.
Dedicated in-house division built before the wave of commercial language models.
How Is This Technology Applied to Fund Management?
The natural language signal feeds systematic investment models and supports the traditional fixed-income and multi-market trading desks. By quantifying the Central Bank's stance, the manager eliminates reading delays and adjusts positions in interest rates, foreign exchange, and derivatives within a fraction of a second after the official release.
According to InfoMoney's reporting, Bradesco Asset built its thesis around the development of proprietary data. Rather than relying solely on open data that all market participants on Faria Lima consume simultaneously, the firm seeks execution advantages through algorithms designed in-house.
“When a press release comes out from the Central Bank or the Fed, our AI indicates how hawkish or dovish the statement is. This can assist in quantitative strategies or decision-making.”Bruno Funchal, CEO of Bradesco Asset, on Espresso Outliers
The technological strategy coincides with recognition in local performance awards. In the recent edition of the InfoMoney Outliers Awards, Bradesco Asset secured 1st place in the Best Private Credit Fixed Income Fund category, 1st place in the Popular Vote, 2nd position in Best Variable Income Pension Fund, and 3rd place in a second Private Credit Fixed Income class, according to data from the event hosted on Faria Lima.
Can the Average Investor Compete With That Speed?
Not in terms of immediate reaction speed. Algorithmic reading of news and central bank minutes closes any short-term arbitrage window for anyone attempting to trade Copom announcements manually via a brokerage platform.
When the Central Bank of Brazil's press release drops, institutional bots have already processed the semantics of each paragraph, compared them with the previous statement, and readjusted orders in DI interest rate futures contracts. Individual retail investors attempting to guess the market's first move the following day usually pay the price of lag.
- Quantitative and institutional funds: Execute orders in milliseconds based on the deviation between expected vocabulary and published text.
- Proprietary data: Generates real asymmetry against competitors who wait for manual analysis to take on risk.
- Retail investors in the short term: Attempting to trade Copom or Fed releases has become an asymmetric game against dedicated algorithms.
- Reliance on third parties: Those waiting for social media summaries operate minutes behind screen prices.
Short-term interest rate trading is now restricted to machines. For you, as an unitholder or independent investor, trying to anticipate every line of the Copom minutes is a strategy with a structural technical disadvantage. The individual investor's role remains focused on long-term consistency, careful selection of managers with proven infrastructure, and the pursuit of contracted real yields that protect wealth against inflation.
How to Position Yourself Amid the Advance of Algorithms in the Market?
The rational response for retail investors is to separate high-frequency noise from what generates lasting wealth. While institutional desks fight over fractions of a basis point at the opening of the yield curve following a press release, long-term wealth is built on structural allocation.
Avoid day-trading monetary policy decisions — interest rate futures contracts and the U.S. dollar absorb the tone of the statement before any report opens on your computer screen.
Evaluate the technology behind multi-market and quantitative funds — if you outsource management by paying an administration fee, verify whether the firm invests in proprietary data processing capabilities or merely replicates generic models.
Maintain focus on government bonds and quality private credit — the carry from high real yields (IPCA+) is independent of the exact second when the manager's artificial intelligence processed the Central Bank's comma.
Bradesco Asset's case illustrates an irreversible trend in the Brazilian financial market: artificial intelligence has transitioned from a mere text assistant to a central piece of treasury and allocation infrastructure. Understanding the limitations of retail trading is the first step toward avoiding losses in contests where machines start with a head start.
