Execution-Driven Trading,
Built Around Risk Control.
SniperAI is a rules-based trading engine, not a prediction feed. Every setup is produced by measurable factors, filtered by market regime and volatility, then managed through a defined lifecycle from entry to TP1, TP2, breakeven, and trailing protection.
How The Engine Works
A trading lifecycle built around deterministic inputs, execution discipline, and post-trade feedback.
Signal Generation
The engine scans liquid futures markets and rejects weak setups early using deterministic rules, BTC regime alignment, and volatility guards.
Adaptive Scoring
Each candidate is scored from measurable factors such as trend alignment, flow, funding, structure, and liquidity context. Factor weights adapt from recent realized outcomes.
Risk-Defined Execution
Approved trades ship with entry, stop, TP1, and TP2 levels. The focus is not just getting in, but defining risk before exposure starts.
Lifecycle Management
When TP1 is hit, the system secures the trade and shifts risk toward breakeven. TP2 captures extension while trailing logic protects open profits.
Outcome Tracking
Every closed trade is classified as WIN, BREAKEVEN, or LOSS, then attributed back to the factors and system behavior that produced it.
Why The System Is Different
Most competitors market entries. SniperAI is built around execution quality, drawdown control, and explainable feedback loops.
Execution Over Predictions
Signals come from a rules-based scoring engine. There are no vague opinions, no discretionary hype, and no hidden overrides disguised as intelligence.
Risk Management First
TP1 protection, breakeven logic, trailing stop behavior, volatility filters, and circuit breakers are part of the system design, not afterthoughts.
Adaptive Feedback Loop
Factor performance is measured continuously so the engine can down-weight weaker contributors and keep improving from actual trade outcomes.
Execution Framework vs Signal Marketing
The difference is not more predictions. It is better process control.
| Feature | SniperAI | Signal Services | Prediction Channels |
|---|---|---|---|
| Deterministic scoring | Yes | Sometimes | No |
| TP1 / TP2 lifecycle | Yes | Rarely | No |
| Breakeven protection | Yes | Rarely | No |
| Trailing stop logic | Yes | Rarely | No |
| Factor attribution | Yes | No | No |
| Adaptive weighting | Yes | No | No |
| Version-based review | Yes | No | No |
| Primary focus | Execution quality | Hit rate | Calls |
Core System Features
Designed to manage trade lifecycle quality, not just generate more entries.
TP1 / TP2 Lifecycle
Trades are structured around staged exits instead of a single target. TP1 secures the position, TP2 handles extension.
Trailing Stop Logic
Once a trade is protected, stop management shifts from loss prevention to profit retention.
Adaptive Scoring
Factor weights adjust based on observed performance so weak signals lose influence without manual guesswork.
Market Regime Filters
BTC trend alignment, volatility guards, and state classification help the engine stand down in unstable conditions.
Circuit Breaker Controls
Loss streak logic can pause new exposure when conditions degrade instead of forcing more trades into noise.
Explainable Attribution
Every trade includes the contributing factors so you can see why it triggered and how the system version is performing.
Recent Trade Outcomes
Completed executions with lifecycle results, factor attribution, and public tracking.
No completed trades yet. Closed executions will appear here once the engine starts logging outcomes.
Follow the engine in real time, including active entries, lifecycle transitions, and execution context before trades are closed.
Unlock Pro AccessAccess The Full Execution Layer
Start with public trade history. Upgrade for real-time setups, lifecycle updates, and deeper system context.
Free
Forever free
- View completed trade outcomes
- Public execution history
- Basic market overview
- Account profile
- Real-time active setups
- Factor attribution & scoring context
- Lifecycle status tracking
Pro
Cancel anytime
- Everything in Free
- Real-time active setups with execution context
- TP1 / TP2 lifecycle updates
- Regime, volatility, and flow filters
- Dashboard with execution metrics
- Telegram trade alerts (coming soon)
- Priority support
Transparency and evaluation
Performance is measured by execution outcomes, not marketing claims.
Metrics are presented as the current public system benchmark and should be read as execution diagnostics, not guarantees. Version note: copy references system version v2, but the current dataset is not version-filtered in the data model.
What Makes The System Auditable
Signals are explainable, attributable, and reviewed through system behavior over time.
Factor Attribution
Each trade records the inputs that contributed to the score, so entries are explainable instead of black-box calls.
Factor-Level Performance
Outcome tracking can be reviewed by factor, making it possible to see which components are adding edge and which are degrading.
Version-Based Discipline
System changes should be evaluated by version so performance can be tied to a specific execution model rather than mixed with prior behavior.
Trading involves risk. There are no guaranteed returns, no promised win rates, and no assurance that past outcomes will repeat under future market conditions.