The technology behind AlphaSync.
One engineered pipeline from market data to a logged outcome. This page explains each part of it, for traders and for engineers.
System overview
Data flows left to right. Risk control gates execution. Monitoring records everything.
Pre-launch informationThis page describes technology in development ahead of AlphaSync Global's planned start of operations in January 2027. Capabilities, supported platforms and availability are design intent, may change, and are subject to jurisdictional requirements.
Algorithmic trading engine
The coordinator. It schedules each stage and makes sure every strategy sees the same data in the same order.
- Event-driven core
- Reacts to new ticks and bar closes rather than polling on a timer.
- Deterministic evaluation
- The same inputs produce the same decision, which is what makes testing meaningful.
- Strategy isolation
- Each strategy runs with its own state and limits, so one cannot disturb another.
- Shared services
- Data, risk and logging are provided once and used by every product.
Strategy execution engine
Where a strategy's rules become orders.
- Rule evaluation
- Entry, exit and filter conditions checked on each relevant event.
- Order construction
- Size, stop and target calculated from the strategy's parameters and current risk limits.
- Order lifecycle
- Pending, filled, modified and closed states tracked and reconciled with the platform.
- Fail-safe behaviour
- On an unexpected state the engine is designed to stop opening risk, not guess.
AI intelligence layer
Adds context: what kind of market this is, and what that implies.
- Context, not control
- By default the AI layer informs analysis and the trader. It does not place orders on its own.
- Structured output
- Analysis is returned as regime, scenarios and risks, not a single verdict.
- Grounded in data
- Commentary is generated from computed indicators and price structure supplied by the engine.
- Stated uncertainty
- Where evidence conflicts, the output says so.
Market data processing
Clean inputs. Everything downstream depends on them.
- Tick and bar handling
- Prices aggregated into consistent bars across timeframes.
- Validation
- Gaps, duplicates and out-of-range values detected before analysis uses them.
- Spread awareness
- Bid, ask and spread tracked, because cost changes whether a trade is worth taking.
- Session mapping
- Each price is tagged with its trading session for session-based rules.
Technical analysis engine
The calculations strategies and the AI Mentor rely on.
- Indicator library
- Moving averages, momentum, volatility and volume-based measures computed once and shared.
- Market structure
- Swing highs and lows, trend state and range boundaries.
- Support and resistance
- Levels derived from structure, prior sessions and reaction history.
- Consistency
- One implementation of each calculation, so analysis and execution agree.
Multi-timeframe analysis
A setup on M5 means little if H4 disagrees. This layer checks alignment.
- M1 to D1 coverage
- The same analysis run across timeframes.
- Alignment scoring
- How far short-, medium- and long-term views agree.
- Higher-timeframe filters
- Strategies can require agreement before entries are allowed.
- Conflict reporting
- Disagreement between timeframes is surfaced, not hidden.
Execution workflow
The path a single trade takes.
Trade management engine
What happens after the entry.
- Protective orders
- Stop-loss and take-profit attached according to the strategy's rules.
- Dynamic management
- Break-even, trailing and partial-close logic.
- Basket management
- Related orders monitored and closed as a group against a combined limit.
- Time-based exits
- Positions closed when a strategy's time horizon expires.
Risk control framework
Four nested layers. An order must pass all of them.
Risk warningTrading foreign exchange and gold on margin carries a high level of risk and may not be suitable for everyone. You can lose some or all of your capital. Automation and AI analysis do not remove that risk and do not guarantee any result. Read the full risk disclosure.
Broker connectivity
AlphaSync connects to third-party platforms through a dedicated layer with its own monitoring.
API integration
How systems talk to each other.
- Platform bridges
- Communication with MetaTrader terminals through platform-native components.
- Service APIs
- Internal services exposed through authenticated, versioned interfaces.
- Secrets stay server-side
- Broker credentials and API keys are held by backend services, never in a browser or in this website.
- Least privilege
- Each integration is granted only the access it needs.
System monitoring
Knowing the system is healthy before trusting it with an order.
- Health checks
- Data feed, strategy state and connectivity checked continuously.
- Latency tracking
- Round-trip times measured so stale conditions can block execution.
- Alerting
- Abnormal states raised to the trader and to operations.
- Automatic safeguards
- Strategies paused when a dependency is unhealthy.
Logging and diagnostics
If you cannot see why something happened, you cannot improve it.
- Decision records
- Each signal, check and order stored with its inputs and its result.
- Rejection reasons
- When an order is blocked, the log says which rule blocked it.
- Review tooling
- Records designed to feed reports and the AI Mentor's journal analysis.
- Retention
- Storage periods to be set in line with legal and privacy requirements.
Infrastructure architecture
The public website and the trading platform are separate systems by design.
- Separation of concerns
- This website is static and holds no account data. The platform is authenticated and separate.
- Encrypted in transit
- All connections are designed to use TLS.
- Designed for resilience
- Services planned with redundancy and controlled failover.
- No unverified claims
- We will not publish uptime figures or certifications until they can be evidenced.
See the technology before launch.
Request a product demonstration or register for early access. We will contact you as each product opens.