Risparmella analyzes trading strategies generated by artificial intelligence models and makes them available in automatic copy. No technical skills required to get started, no promises of guaranteed earnings.
Most students approaching crypto trading encounter two obstacles: the technical complexity of market analysis and the capital risk on manually managed positions. Understanding when to enter or exit requires time and data that not everyone has available.
Risparmella selects strategies generated by predictive models, subjects them to backtests on time series and makes them copyable with a budget defined by the user. The allocation remains under the student's control at all times.
Each published strategy is first validated on multi-year historical data and subsequently monitored on live data, before being proposed in copy.
The models continuously analyze volumes, volatility and correlations between assets, identifying recurring patterns in market data.
The strategies are calibrated on explicit risk parameters: maximum exposure, acceptable drawdown and time horizon.
The user chooses a published strategy and replicates its operations in proportion to the allocated capital, with the possibility of suspending the copy at any time.
Each published strategy reports backtest results and observed behavior on live data. We do not use user testimonials to support performance.
Illustrative representation of the performance of a strategy compared to a market benchmark over the same period.
Illustrative data for explanatory purposes, not guaranteed returns.
The strategies include exposure thresholds and automatic hedging mechanisms, calibrated to limit losses in adverse market conditions.
Each model is validated with out-of-sample backtest techniques, to reduce the risk of optimized results based only on historical data used in the development phase.
Methodological note: past performances, real or simulated, do not constitute a guarantee of future results. Backtest data is subject to the inherent limitations of any historical simulation.
Each copied position is visible with continuous updates on entry price, current exposure and percentage change.
Some strategies include automatic hedges that reduce net exposure when volatility exceeds predefined thresholds.
It is possible to combine multiple strategies in a single portfolio, setting the weight of each based on the available capital and the level of risk you intend to take. The allocation can be changed at any time, without permanence constraints.
Risparmella was created to make market data readable to those who do not work in finance. The team follows each strategy from the model development phase to publication, checking that the declared risk parameters correspond to the behavior observed on real data.
Strategies that fail consistency checks between backtests and live data are suspended from the copy, regardless of previous results.
The capital remains deposited via the payment channels linked to the user's account. Risparmella does not hold users' own funds outside of copy-activated positions, and each access is protected by two-factor authentication.
There is no minimum threshold imposed by the platform to activate the copying of a strategy. The amount allocated proportionately determines the size of replicated trades, so smaller capitals generate smaller positions.
The models analyze quantitative indicators such as volume, volatility and correlations between assets, generating operational signals according to rules defined during the development phase. The rules remain fixed for the entire duration of the publication of the strategy, barring declared revisions.
Activation takes a few minutes. You can suspend copying or change the allocation at any time, without contractual constraints.