Dracennify analyzes real-time market data and automatically replicates strategies with proven performance. Suitable for remote working investors who do not want to spend time watching charts.
The system works with three layers of data processing. Each layer handles a different part of the decision-making process, from data reception to execution itself.
The platform receives market data from multiple sources simultaneously and converts it into a structured format suitable for machine learning models. Processing latency is in the order of milliseconds.
The model estimates the probability of an adverse scenario before opening a position. The result affects the size of the allocation as well as the setting of protection limits.
Trade orders are sent automatically via a secure API connection to exchange partners. The user does not need to be online or interfere with the process.
Strategy selection is based on data, not individual judgment. Every strategy goes through the same multi-step verification.
The algorithm collects strategy results over a longer period of time, including periods of increased volatility.
The strategy is tested on historical data outside of the original training period to verify the stability of the results.
Once approved, the strategy will be placed in the menu for copying. Performance is continuously monitored and suspended when the risk profile deviates.
The dashboard displays the performance curve, risk-adjusted return and current exposure in one view, without the need to switch between tools.
The platform is designed to function without daily attention. This has a direct impact on how it can be included in the income structure.
Freelancers and remote employees often don't have the space to monitor the markets during work hours. Automated execution separates the time-consuming nature of trading from generating revenue.
A replicated strategy reacts to data independently of the investor's personal judgment, reducing correlation with the decisions the user makes on their own in the rest of their portfolio.
Dracennify was born from the need to separate the quality of a trading decision from the time an investor can devote to it. The model does not work with emotion or intuition, only with verifiable patterns in the data.
All communication with the exchange APIs takes place over an encrypted connection with limited permissions. The platform does not have access to withdraw funds from the linked account.
More about the methodologyThe following questions are most often related to the security of the connection, liquidity and historical performance of the models.
The connection takes place via an API key with limited authorization for trading only. The key does not allow withdrawal of funds or change of account payment details.
If the model evaluates the market volume as insufficient for safe execution, the position will not be opened or the order size will be reduced to avoid unwanted price movement.
They are not. Backtesting shows how a strategy has performed in the past, not how it will perform in the future. Therefore, the performance of each strategy is continuously monitored throughout the deployment.
Yes. Termination of copying is immediate and does not require unlinking the stock exchange account as such.
Creating an account and connecting to the exchange API takes minutes. You leave the decision itself to the proven model.