Conservative
Risk: Low
Prioritize capital preservation. Trade low frequency on low volatility assets.
4–6%Simulated annual performance
Copy-trading strategies with AI
Data-driven decisions, executed by AI
Pulso IA identifies strategies with verifiable history. You replicate them without programming or analyzing data.
Illustrative scenario – typical week
- 12,400 Analyzed operations
- 6 Active strategies
- 1.2s Average execution time
Example data for illustrative purposes, do not constitute actual results.
The problem
Analyzing markets by hand is time consuming and requires experience.
Reviewing indicators, comparing assets and adjusting positions requires several hours each week. Most individual investors do not have that time.
Learning quantitative analysis has a long curve. Meanwhile, the market continues to move.
The solution
Replicate strategies, don't study data science from scratch.
Copy-trading transfers the analysis to models trained with historical data. You follow the signs, without programming or interpreting statistics.
Up to 90%
Estimated reduction in manual analysis time, in reference scenario.
Who we are
An analytical, not speculative, approach
Pulso IA bridges the gap between data science and private investing. A technical team develops and monitors each model before publishing it.
Copy-trading allows you to follow decisions based on data without spending hours on analysis. You maintain control over risk at all times.
How it works
Three steps, without constant manual intervention
The entire process occurs between data capture and the executed order.
01 · Analyze
Data Aggregation
The system analyzes prices, volume and volatility of multiple markets in real time.
02 · Optimize
AI Filtering
Predictive models optimize signal selection and discard statistical noise.
03 · Replicate
Autorun
Orders are submitted without manual intervention, based on risk limits you define.
Methodological transparency
Strategies with documented hypothetical performance
Each strategy is classified by risk level and time horizon before being activated.
Balanced
Risk: Medium
Combine stable assets with tactical positions with greater relative movement.
8–12%Simulated annual performance
Aggressive
Risk: High
Seek greater profitability by assuming greater exposure to market volatility.
15–22%Simulated annual performance
The above figures correspond to simulations based on historical market data. They do not constitute a guarantee of future results or an investment recommendation.
Methodology
Risk management and operational discipline
Each strategy defines exposure limits before trading. The system stops the activity if the thresholds configured by the user are exceeded.
Data integrity
The models are trained with verified market data. Sources are reviewed on an ongoing basis to reduce training bias.
Start replicating strategies with data, not intuition
Set your risk limits and activate automatic tracking in just a few minutes.
Start nowAccess is subject to identity verification and risk profile definition.