The Future of Automated Trading Systems
Systematic Trading. Continuous Market Scanning. Automated Execution.
10XT turns trading strategies into continuously running systems that scan markets, detect opportunities, and trade automatically with full visibility and user control.
Live System Library
Reference Systems
Six live system frameworks covering the most common observable market structures. Observe system behavior, clone a framework, then choose your own pairs, capital allocation, risk profile, and deployment mode.
Systems are organized by market behavior, not by a single ticker.
Trend System
Continuation and direction
Stays aligned with established trend structure and participates in continuation rather than reversal.
- Best for persistent directional markets
- Combines trend filters and strength
- Built for continuation, not prediction
Momentum System
Acceleration and impulse
Captures short-term directional acceleration when momentum builds and follow-through is present.
- Best for active market phases
- Seeks strong directional impulse
- Designed for fast market movement
Breakout System
Volume-confirmed range expansion
Trades clean breaks from established ranges when price expands with confirming volume.
- Best for decisive range expansion
- Confirms participation with volume
- Focused on clean directional breaks
Mean Reversion System
Rotational snapback behavior
Looks for oversold pullbacks inside stable ranges and exits into price recovery.
- Best for choppy, rotational markets
- Looks for downside extension and recovery
- Built to capture snapback behavior
Volatility System
Compression and expansion
Waits for volatility compression and trades breakout expansion confirmed by nearby market structure.
- Best for volatility compression setups
- Combines squeeze behavior with validation
- Designed for expansion after contraction
Wyckoff System
Structural reclaim after liquidity sweeps
Identifies spring-and-reclaim behavior after support sweeps and enters when structure is reclaimed.
- Best for reclaim and accumulation phases
- Looks for false breakdowns and recovery
- Structure-aware entry logic
Together, these six reference systems represent the most common observable market structures: trend, momentum, breakout, mean reversion, compression/expansion, and structural reclaim.
Demo Systems are frameworks for observation and cloning. User configuration determines markets, capital, risk, exchange, and paper/live deployment.
Infrastructure built for systems
Technology
10XTraders is system-native trading infrastructure built for continuously running automated trading systems.
The platform combines exchange-native trading interfaces, cloud-native runtime infrastructure, and user-controlled system deployment so traders can move beyond alerts, bots, and manual execution.
At its core, 10XT extends the battle-tested Freqtrade engine, trusted by algorithmic traders worldwide. On top of that foundation, we built a distributed systems layer that manages runtime state, execution continuity, exchange connectivity, and system-level visibility across venues.
The result is a live trading environment where systems can scan markets, trade continuously, and remain visible under real market conditions.
Section 1
Core Infrastructure
Cloud-Native Runtime Orchestration
Every system runs in its own isolated runtime container managed by a Kubernetes-based orchestration layer. Each system gets dedicated compute, persistent state, and lifecycle management — independent of other systems and independent of the user's local machine.
Deterministic System Lifecycle
Systems start, run, and stop under deterministic conditions controlled by the user. Runtime state, configuration, and execution context are preserved across restarts so behavior remains consistent across sessions.
Continuous System Deployment
Systems are deployed once and continue running until the user stops them. There is no need to keep a browser tab open, no need to keep a local terminal alive, no need for the trader to be online for the system to operate.
Execution Resilience
Each runtime is monitored for liveness and execution continuity. When a runtime becomes unhealthy, the platform attempts recovery automatically — systems do not silently stop running because of an underlying infrastructure issue.
Section 2
Execution & Monitoring
Multi-Exchange Connectivity
Native, authenticated connectivity into supported exchanges (Bitget, Bybit, OKX, and others as they come online) using each venue's production trading APIs. Orders, positions, balances, and runtime status are read directly from the exchange — not approximated from a feed.
Runtime Execution Layer
A dedicated execution layer translates system decisions into exchange-side orders with order management, retry handling, and reconciliation built in. Execution does not depend on the trader watching the screen or manually relaying signals.
System Integrity Controls
Systems run inside defined capital boundaries with paper and live modes, per-system risk caps, and exchange-side controls. The platform makes it explicit which mode a system is in and which boundaries apply.
Real-Time Observability
Live visibility into trade activity, signals, runtime behavior, balances, positions, and market conditions — all from one workbench. Logs, charts, and order history are presented inline so the trader always knows what a system is doing.
Section 3
Security & Reliability
Non-Custodial Trading Model
10XTraders never takes custody of user funds. Trading happens on the user's own exchange account via authenticated API keys, and the platform never holds or moves user balances off-venue.
System-Level Isolation
Each user's systems are isolated from other users' systems at the runtime level. There is no shared execution state across accounts — one user's system behavior cannot affect another user's system behavior.
Operational Continuity
Runtimes are monitored, restarted on failure, and resumed against the user's last known system state so a transient infrastructure event does not become a silent outage in the user's portfolio.
User-Controlled Deployment
Systems start and stop on user action. The platform does not auto-deploy strategies or auto-route capital — every deployment is an explicit, user-initiated decision.
Section 4
System Layer
Reference Systems
A curated library of reference trading systems (mean reversion, Wyckoff reclaim, volatility, breakout, momentum, trend) covering distinct market behaviors. Each reference system is documented, parameterized, and deployable as-is.
User-Defined Market Universes
Systems run against user-defined market universes — the trader chooses which pairs, which venues, and which timeframes participate. Universes can be changed without rebuilding the underlying system logic.
Paper and Live Modes
Every system can run in paper mode (no real orders) or live mode (real orders against the user's exchange account). Modes can be switched explicitly, and the platform clearly labels which mode a running system is in.
Multi-System Participation
Multiple systems can run concurrently against the same or overlapping market universes — each with its own state, risk envelope, and execution behavior. Systems are managed independently, not as a single monolithic strategy.
Section 5
AI-Assisted Refinement
Controlled System Refinement
AI assists with refining behavior of existing systems — adjusting trend confirmation, breakout sensitivity, trade frequency, aggressiveness, and market focus — inside the platform's controlled trading frameworks.
User Review Required
Refinements are surfaced to the user as proposed changes that the user can review, accept, or reject before they reach a live system. AI does not silently mutate running systems.
Bounded Adjustments
AI-assisted changes are bounded by each system's defined parameters and risk envelope. The platform constrains the space of changes so refinement happens inside well-known limits, not outside them.
No Black-Box Trading
The trader always sees the system, its parameters, and its current behavior. AI assists the trader, but the trader remains the operator of record — there is no opaque autonomous trading layer hiding under the system.
Multi-System Trading Environment
- Continuous market scanning
- Multi-system portfolio structure
- Trade execution visibility
- System-level separation
- Paper and live deployment
- Continuous runtime monitoring
- AI-assisted refinement inside controlled frameworks
Professional traders have traded through systems for decades.
Beyond charts and alerts.
Beyond isolated bots.
A live environment for automated trading systems.