80% DE ACERTIVIDADE - 54 MILHÕES DE CENÁRIOS FUTUROS - MODELOS PROPRIETÁRIOS - ATUAÇÃO B2B GLOBAL
AI Context
Proprietary models with deep learning
68 M
of future scenarios and stochastic forecasts
91%
Regarding agreements in commercial operations:
B2B & B2C
Glocal performance in banking, industry and proprietary accounts.
WHO ARE WE?
At the intersection of technology and high-value markets, the
TM Quant is a deep tech company specializing in quantitative intelligence applied to market data.
We work with data science and high-performance proprietary algorithms, offering solutions for pricing, risk analysis, and decision support. With a consolidated presence in the agricultural, financial, and governmental sectors, we integrate technology, modeling, and strategic vision to transform data into a competitive advantage.
Planting strategy, reaping results!
CUSTOMIZED SOLUTIONS
Volatility in the commodities ecosystem directly impacts margins and working capital, requiring quick, well-structured decisions with good governance.
THESIS CONTEXT — HOW IT WORKS
We integrate fundamental and technical variables to generate actionable forecasts and decisions with governance.
Variable blocks:
Climate
Energy
Freight
Exchange
Market risk
Fundamentalist analysis
Technical analysis
Trading rules
Risk policies
Integrated data → Quantitative models → Probabilistic scenarios → Risk policy → Strategic decision-making
COMMODITIES - QUANTITATIVE INTELLIGENCE
Proprietary models and indicators applied to commodities, energy, exchange rates, and logistics.
Our Commodities:
Soybeans · Corn · Soybean meal · Soybean oil · Chicken · Robusta coffee · Cocoa · Dollar · DDG (Dried Distillers Grains) · Coffee · Beef · Sugar · Palm oil · Cotton · Wheat · B3 corn · Petroleum · Diesel · Freight · Natural gas · Ethanol · Copper · Gasoline
BANKS
Quantitative Intelligence for Credit Analysis and Scoring, Credit Hedge Strategy, and Risk Monitoring.
Target audience: Treasury, Market Intelligence, Risk, Investments, Proprietary Trading Desk.
AGRO-CORPORATE / INDUSTRY
Thesis on Physical and Futures Trading, Stochastic Forecasting, Trading Signals, Risk Policy and Trading Hedging.
Target audience: CFOs, Treasury, Procurement, Business Planning, Proprietary Trading Desk.
POD - Proprietary Portfolio
Credit intelligence and quantitative fund operations.
Target audience: Banks, investment funds, asset managers, and asset management firms.
Sharpe 3.2 | 794% of CDI
PERFORMANCE
SUCCESS STORIES
We identified tactical buying windows when the probability of an increase decreases and the basis weakens, resulting in lower average costs and lighter working capital.
PRACTICAL CASE: CORN
Historical savings of 14% in corn origination.
CASE STUDY: COPPER
Paraguayan client with EBITDA increase of 1.48% per month.
We synchronize futures contracts with industrial cycles and electricity demand to guarantee predictable budgets and protected margins. A systematized and executable Risk Policy.
CUSTOMERS AND PARTNERS
