Features built for independent, data-driven investors
Sergey Scrap combines automated market scanning, rules-based execution, and transparent reporting in a single zero-commission platform. Explore what powers every decision.
Every tool here exists to remove a manual step
Sergey Scrap was built around a simple premise: independent investors shouldn't have to choose between depth of analysis and speed of action. Each feature below is designed to work together as one pipeline — from data intake to execution to review — so decisions are consistent and repeatable rather than ad hoc.
Because the platform operates on a zero-commission model, the features are built to be used often, on smaller positions and shorter timeframes, without cost friction changing the calculation.
A complete toolkit, not a single dashboard
These are the primary building blocks of the Sergey Scrap platform. Each one is designed to be used independently or chained into a fully automated workflow.
Automated market scanning
Continuous scanning across instruments and timeframes surfaces setups that match your criteria, without manual chart-watching.
Rules-based execution
Translate your own strategy into explicit rules, then let the platform execute consistently once conditions are met.
Zero-commission structure
Trade without per-order fees eating into smaller or more frequent positions, so strategy performance isn't distorted by cost drag.
Transparent reporting
Every signal, trade, and adjustment is logged in plain language, so you can audit exactly why an action was taken.
Risk parameter controls
Set position sizing, exposure limits, and stop conditions once; the platform applies them automatically across every trade.
Custom alert routing
Receive notifications only for the conditions you define, filtering out noise so attention goes to what matters.
Historical backtesting
Run your rule set against historical data before committing capital, to understand behavior under different conditions.
Unified account view
See positions, pending orders, and performance in one place, instead of switching between disconnected tools.
From raw data to a logged decision
The features above aren't isolated — they form a single pipeline that runs continuously once configured.
Define your rules
Set the conditions, instruments, and risk limits that describe your strategy in explicit terms.
Scanning begins
Sergey Scrap continuously checks live market data against your defined conditions, across your selected coverage.
Execution or alert
Depending on your settings, a matching condition either triggers an automated order or sends you an alert to confirm manually.
Logged and reviewable
Each action is recorded with its triggering rule, so performance can be reviewed and rules refined over time.
Configurable, not rigid
Rules can be adjusted at any time without rebuilding your setup from scratch.
Readable logs
No raw data dumps — every entry explains the condition that triggered it.
Single workspace
Scanning, execution, and review live in one interface instead of separate tools.
Common questions about the platform
Do I need coding experience to set up rules?
No. Rules are defined through structured settings rather than code, though the underlying logic is explicit enough for advanced users to fine-tune.
Can I use alerts instead of full automation?
Yes. Each rule set can be configured to send an alert for manual confirmation rather than executing automatically.
Is backtesting included with every plan?
Backtesting is part of the core feature set described here; specific plan details are covered separately during onboarding.
How does the zero-commission model affect execution?
Orders are routed without per-trade commission charges, which is factored into position sizing and reporting so costs don't distort results.
Can I run multiple rule sets at once?
Yes. The platform supports running several independent rule sets in parallel, each with its own risk parameters and logs.
Put these features to work on your own strategy
Set up your first rule set, connect your account, and let Sergey Scrap handle the scanning and execution.
Get startedTrading involves risk. Past performance does not guarantee future results.