SpreadNet

SpreadNet Live Arbitrage Feed Active: 0

Initializing SpreadNet live feed...

Waiting for opportunities...

SpreadNet System Stats

Total opportunities

Avg profit

0.00%

Opp/min

0.0

Best

0.00%

Uptime

Last update

Never

Latest slot

How arbitrage works

Buy an asset where it’s cheaper, sell where it’s more expensive. SpreadNet scans multiple DEXs and routes on Solana to surface those price gaps in real time, net of costs.

1 Ingest

Live quotes from DEXs and aggregators (Jupiter, Orca, Raydium)
Unified data model for pairs, prices, depth

2 Normalize

Clean/align symbols, fees, liquidity metadata
Prepare candidates for scoring

3 Score

Net profitability after slippage, fees, TTL decay
Rank by risk-adjusted spread

4 Emit

Lightweight events over SSE/WebSocket to the live feed
Immediate UI updates, minimal payloads

What you see on this page

Live Arbitrage Feed: a terminal-style stream of ranked opportunities
Stats: totals, average profit, best spread, opportunities/min
Next: connect wallet and simulate/execute with guardrails

SpreadNet doesn’t custody funds. It analyzes public prices and will later let you simulate and send transactions with your own wallet.

SPREADNET(1) User Commands SpreadNet Manual

NAME

spreadnet - Solana arbitrage monitoring and execution platform

SYNOPSIS

spreadnet [--connect-wallet] [--monitor] [--execute]

DESCRIPTION

SpreadNet is a zero-cost, high-performance arbitrage engine tailored to the Solana blockchain. It continuously monitors prices across decentralized exchanges (DEXs) and routing services to identify risk-adjusted profit opportunities. The system is designed for low-latency signal generation and transparent decision-making, with a clean terminal-inspired interface for clarity and focus.

While the current MVP focuses on live detection and visualization, the platform architecture already anticipates non-custodial wallet connection and automated execution with configurable risk policies. Every component is modular, allowing incremental improvements without rewrites.

scan stream price quotes and on-chain data across multiple DEXs and aggregators
score compute net profitability after slippage, fees, and TTL decay
alert push minimal, real-time updates via WebSocket to the UI
execute forthcoming automated flow with wallet authorization and guardrails

ARCHITECTURE

The platform follows a hybrid design: a performance-oriented core for data ingestion and opportunity scoring, and a Python/Flask layer for real-time delivery over WebSocket. The UI is intentionally minimal, surfacing only what matters. Key modules:

ingest Solana RPC/WebSocket, Jupiter API, and DEX endpoints
normalize unify quotes, pairs, and liquidity metadata
score probability-weighted profit with TTL and path constraints
emit lightweight events to front-end subscribers

WHY SPREADNET

Solana’s throughput and low fees enable fast, granular execution. SpreadNet exploits this by tracking cross-venue inefficiencies, surfacing only actionable context. The goal is not pretty charts but precise signals and robust automation.

METRICS

Latency

<100ms

DEX coverage

10+

Pairs

50+

FUTURE WORK

wallet connect Phantom/Solflare with granular permissions
automation policy-based execution, caps, and circuit breakers
analytics strategy performance, slippage attribution, risk reports
ai adaptive path selection and liquidity forecasting

DeltaSol Roadmap

[x] Phase 1: Foundation real-time detection • multi-DEX • websocket

Standing up the data plane and signal engine. Streams from Jupiter and DEX RPC endpoints are normalized into a single quote format. A scoring module evaluates each candidate path for net profitability including fees and slippage, with TTL to reflect path decay. Events are emitted to the UI over WebSocket with minimal payloads to preserve responsiveness.

quotes unified schema for price, liquidity, and route metadata
ttl decay-aware scoring, expiring stale opportunities
ui terminal-style live feed for fast mental parsing

[·] Phase 2: Wallet Integration (Q1 2025) Phantom • Solflare • manual execution

Non-custodial connect flow with explicit, reversible permissions. Users can pick an opportunity from the feed and simulate costs before sending. Transactions are constructed client-side with clear display of routes, amounts, expected slippage, and failure modes.

connect Phantom/Solflare with per-session scopes
preview gas, fees, slippage and expected profit
sign clear-sign transactions with readable memos

[·] Phase 3: Automation (Q2 2025) auto-execute • risk controls • strategies

Strategy engine that turns signals into actions under strict guardrails. Users configure per-pair risk budgets, max concurrent trades, slippage caps, and cool-downs. A safety layer halts trading on anomalies.

policies caps, circuit breakers, rate limits
templates conservative / balanced / aggressive modes
telemetry detailed logs and PnL attribution

[·] Phase 4: AI Enhancement (Q3 2025) ML predictions • sentiment • MEV protection

Predictive models anticipate short-lived price dislocations and liquidity fluctuations, improving routing and timing. Sentiment and order flow indicators modulate aggressiveness. MEV-aware execution avoids adverse selection.

forecast path profitability and depth changes
sentiment throttle/boost by market regime
mev protective routing and slot-aware timing

The First Open-Source Solana Arbitrage Platform.