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A deterministic execution engine for precision-critical market entries.

Viper Sniper is a hybrid V8–WASM routing engine.
Every decision is benchmarked, governed, and fail-closed — by design.

Built for people who would rather miss a trade than take one on uncertain state.

Viper Sniper is built for time-critical market entries such as new token launches, liquidity additions, and high-competition price dislocations.

It executes only when state is provably consistent — otherwise it aborts.

  • Monitors launch/liquidity events and state changes
  • Validates and freezes state before acting
  • Enforces guardrails before any execution

Designed to compete for same-block or near-block entries without sacrificing state correctness.

  • New token launches and initial liquidity events
  • Entries where ordering and state consistency matter more than raw speed
  • Conditions where RPC jitter, mempool noise, and async drift break naïve bots

Most trading systems are built for demo environments.

They assume clean data, orderly timestamps, and predictable timing. Under those conditions, everything works. Then the system touches real markets.

Bursts of data arrive where there used to be quiet. Functions that "always finish in time" don't. Providers hiccup silently. Corrections arrive after logic has already fired. The system doesn't crash.

It just stops being correct.

The most dangerous failures are the ones that don't announce themselves. Async drift between components that should be synchronised. Race conditions that occur intermittently. Events that arrive out of order and break assumptions that were never made explicit.

Logs look normal. Metrics stay green. Behaviour quietly diverges.

Teams respond by optimising.

They tune parameters. They chase latency. Benchmarks improve. The benchmarks are lies.

Real conditions include garbage collection pauses, memory pressure, network jitter, and scheduler unpredictability. Benchmarks exclude all of these by design. Worse, many "optimisations" trade determinism for speed. A non-blocking read shaves milliseconds but introduces ordering ambiguity.

Fast and wrong is worse than slow and right.

Then there is intelligence.

Adaptive systems can learn the wrong lesson. But the real danger is not learning — it's overriding. When intelligence is allowed to bypass a safety check because it "knows better," authority transfers from logic to inference.

Rules are auditable. Models are not. Rules fail predictably. Models fail in ways that cannot be anticipated.

Most systems are built for the happy path. They assume success and treat failure as an exception.

This is backwards.

Systems should assume failure and prove otherwise. Every execution path should answer one question:

What happens when this doesn't work?

If the answer is "it probably will," the design is incomplete.

How it's different

Every decision is made from a frozen snapshot

The world the system sees is the world it acts on.

No drift. No mid-cycle surprises.

Guardrails dominate intelligence

The limit wins. Always.

Intelligence without constraint is unbounded risk.

Validation runs before action

Every time. No exceptions.

If validation cannot complete, execution cannot begin.

Determinism is chosen over speed

Fast and wrong is not fast. It is wrong that happens quickly.

Abort authority is absolute

Abort means abort.

The difference between controlled failure and uncontrolled loss.

Silent failure is forbidden

Problems are visible — or they are unacceptable.

Execution flow (simplified)

Market State Frozen Decision Zone State locked. No mutation. Pre-flight checks fail Limits enforced exceeded Confidence threshold below ABORT Abort Logged. No action. Execute trade Execution Ledger

Proof, not claims

All performance characteristics are measured, benchmarked, and enforced.
Nothing shown here is theoretical.

Incremental O(1) hot-path execution

Operation Full recalc (μs) Incremental (μs) Speedup
VWAP ~235 ~0.48 ~494×

Deterministic engine routing

Operation Mode Engine Reason
SMA / EMA Batch V8-JIT Faster for simple arithmetic
VWAP Large batch WASM Faster for complex math
All indicators Tick Incremental O(1) latency under load

Trigger-time latency

Path Avg latency
RPC execution ~99 ms
Pre-signed cache hit ~1.6 μs

Enforced safety & determinism

Domain Tests Purpose
Frozen Data Zone (FDZ) 50 Prevent execution drift
Guardrails 16 Enforce safety dominance
Property-based invariants 51 Bound correctness
Orchestrator 52 Enforce routing rules

Access & release model

Access is staged because failure is assumed, not ignored.

Why access is gated

Trading systems do not fail because too few people use them.

They fail when usage outpaces understanding.

Access is gated to ensure:

  • performance characteristics remain measurable
  • safety constraints remain enforceable
  • failure modes surface early, not silently

The release sequence

1. Read-only exposure

Visibility before execution. Everything is observable.

2. Simulated execution

Full pipeline, no market impact. The goal is behavioural understanding.

3. Limited live execution

Gradual introduction. If anything behaves unexpectedly, access contracts.

A note on responsibility

This system provides structural integrity — not guarantees.

Markets remain adversarial. Capital remains at risk. Responsibility remains with the operator.

Request access

Access is priced at an infrastructure tier and shared during onboarding.

What happens next

  • Submissions are reviewed manually
  • Qualified applicants receive read-only access first
  • Progression follows the staged release model