Acrobat Scrap Platform
Investment decisions informed by predictive modelling, not instinct
Acrobat Scrap analyses digital asset volatility in real time and applies intelligent stop-loss controls to limit drawdowns before they put your initial capital at risk.
Early market volatility can hit investors with limited capital hardest
A student putting aside part of their monthly budget for digital assets will rarely have the spare capacity to ride out a long downturn. Managing a stop-loss manually means checking prices several times a day, which does not sit easily alongside lectures, exams and work. Too often, the position is closed late, once the loss has become difficult to recover.
*Estimate based on behavioural patterns seen in manual trading rather than on Acrobat Scrap's own data.
A stop-loss that adjusts to an asset’s actual volatility rather than a fixed percentage
The system analyses each asset’s price history, trading volume and recent volatility to set a dynamic exit threshold. As market conditions shift, the threshold is updated automatically, without any action required from the user.
Thresholds are adjusted every few minutes in line with the asset’s liquidity.
Exit threshold updated using rolling price and volume windows
The order is executed once the threshold is reached, even if the user is not online.
Once the portfolio’s risk profile is set, the platform monitors it continuously. If the calculated threshold is reached, the exit order is triggered automatically, removing the manual response delay that can often deepen a loss.
Active monitoring, even outside traditional market trading hours.
Point of execution on the simulated price curve
Protect your capital first, then grow it with discipline
Drawdown protection
Limits drawdowns before they erode the capital needed for future trades, rather than relying on an uncertain recovery.
Automated execution
Orders are executed in line with predefined rules, so users do not need to monitor the market throughout the day.
Predictive modeling
The system uses historical and market data to assess potential volatility scenarios, providing a reference point before each position is opened.
How each recommendation is developed
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Step 1
Market data ingestion
Data on prices, volumes and order book depth are sourced from major exchanges and updated continuously.
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Step 2
Normalization and cleaning
Before being fed into the model, the data is filtered to remove isolated anomalies, helping to reduce the risk of false signals.
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Step 3
Risk threshold calculation
The model estimates anticipated volatility and sets an exit range that reflects the user’s chosen risk profile.
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Step 4
Monitoring and adjustment
The threshold is reviewed regularly and adjusted where market conditions change materially.
Reference diagram: a linear workflow from data capture through to order execution, with a quality checkpoint at each stage.
An approach centred on risk management, not speculation
Acrobat Scrap was developed to give people getting started with digital assets access to the same risk management tools used by professional managers. Our focus is on limiting losses and optimising available capital, without making return promises that no model can reliably support.
Each decision the system makes is recorded and available for review, giving users a clear understanding of why an exit was triggered and the market conditions at the time.
Start trading with a clear risk framework rather than relying on guesswork
Set your risk profile and let the system monitor your positions while you focus on what matters.
Investing in digital assets carries a risk of capital loss. Intelligent stop-loss controls can help reduce exposure during sustained market falls, but they cannot remove market risk or guarantee a specific outcome. Acrobat Scrap does not provide personalised financial advice.