API Access Request for Trading Bot

[colin940]

Professional Background & Execution Discipline
This bot is engineered with Wall Street–grade execution discipline and institutional risk management standards.

• Experience: Former AMEX Options Floor Trader and NASDAQ Market Maker, with deep expertise in market microstructure, liquidity dynamics, and high-frequency execution risk control.
• Motivation: I transitioned to algorithmic trading specifically to ensure unemotional, systematic, and scalable execution grounded in repeatable decision frameworks.
• Long-Term Goal: Building a quantitative trading operation in Colorado, staffed by experienced professionals from traditional markets, with a sustained commitment to the Solana ecosystem.
• Access to the Jito Bundle API is essential to translate this professional discipline into atomic, low-latency, real-world execution.

Use Case & Scale

• Use Case: Automated Solana trading bot designed to exploit microstructure-level inefficiencies.
• Current Scale: 25 SOL of trading capital (scaling to 50 SOL immediately).
• Projected Activity: 50–100+ high-frequency, atomic trades per day once bundle submission is enabled, ensuring a consistent and high-volume tip flow.
• Primary Need: Reliable bundle submission for MEV protection, atomic transaction execution, and consistent slippage-controlled fills, leveraging our dedicated low-latency infrastructure.

Current Implementation Overview

• Monitoring & Analysis
  • Real-time WebSocket mempool monitoring across major Solana DEXes, including Raydium and emerging liquidity venues.
  • Adaptive, ML-driven opportunity detection with confidence scoring tailored to microstructure-level inefficiencies.
• Infrastructure
  • Dedicated Bare Metal Server in Frankfurt, Germany, for strategic low-latency execution.
  • Dedicated Helius business-tier node with QuickNode fallback.
  • Automatic RPC rotation with circuit-breaker logic.
  • Pre-execution simulation with multi-layered sanity checks.
• Bundle Construction
  • Modular bundle builder fully compatible with Jito requirements:
    • Jupiter swap support via VersionedTransaction (V0)
    • Transaction ordering (swap → settlement → back-run sequencing)
    • Dynamic tip calculation:
      • 0.1% of projected profit
      • 0.001 SOL minimum
      • 0.01 SOL maximum
    • Signing, bundle creation, and bundle status polling
    • Retry engine & post-execution reconciliation layer
• Risk Management
  • Position cap: 18 SOL max exposure per trade
  • Daily loss cap: 10 SOL
  • Hard slippage ceilings
  • Comprehensive simulation → execution → post-execution validation
  • Full structured logs for:
    • Opportunity detection
    • Confidence thresholding
    • Execution timing
    • Block-to-block performance metrics

Technical Stack

• Dedicated Helius RPC with automated failover
• Mempool streaming & opportunity filters
• Jupiter Aggregator for atomic V0 swap construction
• MEV-aware transaction sequencing
• Real-time uptime + health monitoring
• ML-based signal refinement

Execution Philosophy

• Contribute reliable, high-volume validator tips
• Minimize market impact & slippage
• Avoid harmful or spam-like behaviors
• Improve overall execution quality for counterparties
• Maintain responsible, well-governed participation in the Jito searcher ecosystem

Available Metrics for Reviewer Verification

• Full opportunity-detection logs
• Pre-execution simulation outputs
• Loss-limit enforcement logs
• Architecture & bundle construction samples
• Real-time execution timing data (demonstrating performance from Frankfurt co-location)
• Reliability, uptime, and RPC-rotation logs

Request
Seeking bundle submission access to:

• Improve fill quality using our dedicated low-latency infrastructure
• Protect trades from front-running / sandwiching
• Ensure atomic multi-leg execution
• Provide consistent and high-volume validator tip revenue
• Scale the strategy in a safe, responsible, non-spammy way

I am fully committed to operating responsibly within the Jito ecosystem and can provide any additional documentation or samples on request.

Contact / Verification
LinkedIn: https://www.linkedin.com/in/colin-barber-10bb54174/

[colin940]

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Thanks for reviewing my application. I wanted to provide additional context on the bot architecture and execution goals:

Current Implementation:

• Monitoring: Mempool monitoring with WebSocket subscriptions to target DEXes (Raydium, emerging liquidity venues) with filtering for profitable opportunities.
• Filtering: Adaptive learning system with confidence thresholds to identify opportunities.
• Infrastructure:
  • Dedicated Bare Metal Server in Frankfurt, Germany, for ultra-low latency.
  • Dedicated Helius business-tier RPC (non-shared node) with QuickNode fallback.
  • Rotating RPC management for reliability.
• Bundle Construction: Modular bundle builder ready for Jito integration:
  • VersionedTransaction support (V0 transactions from Jupiter API)
  • Dynamic tip calculation (0.1% of profit, min $0.001 SOL$, max $0.01 SOL$)
  • Proper transaction ordering and signing
  • Bundle status tracking and monitoring system
• Risk Management:
  • Conservative position sizing (max $18 SOL$ per position)
  • Daily loss limits ($10 SOL$)
  • Comprehensive transaction simulation pre-execution.

Technical Stack:

• Mempool monitoring via WebSocket subscriptions
• Transaction analysis with slippage estimation and profit calculation
• Jupiter integration for swap execution (V0 transactions)
• MEV execution strategy with front-run/back-run transaction sequencing
• Real-time health monitoring and auto-recovery systems

Execution Philosophy:

• Prioritizing minimal slippage and low-impact MEV.
• Targeting improved execution outcomes for counterparties.
• Contributing consistent, high-frequency validator tips and aligning incentives with the network.
• Focus on opportunities that benefit from bundle inclusion and improve overall market efficiency.

Metrics Available:

• Opportunity detection logs showing filtering criteria.
• Transaction simulation results demonstrating validation processes.
• Risk management logs showing conservative position sizing.
• Bundle construction code ready for Jito API integration.
• Execution timing data showing market impact and latency benefits from co-location.

I'm committed to operating responsibly within the Jito ecosystem and contributing to validator rewards. Happy to provide logs, bundle structure details, or any additional information that would be helpful for the review process.

Looking forward to joining the searcher ecosystem and contributing to the network.

[colin940]

Quick update from my side:

My searcher bot is now live with full mempool monitoring, bundle construction (V0 Jupiter transactions), dynamic tip calculation, and simulation-based risk checks. I’m collecting execution-timing data and opportunity logs in preparation for responsible bundle submission testing.

Once access is granted, I can immediately begin submitting controlled, low-impact test bundles to validate sequencing and tip behavior.

If maintainers need logs, bundle structure examples, or mempool-analysis details, I’m happy to provide them.

[colin940]

Final Technical Update & Deployment Readiness

Following the previous updates, I’ve added the core technical scaffolding to the public repository:

Repository: https://github.com/colin940/solana-mev-engine

Code Proof

The repository now includes a production-grade structure with the Jito-integration scaffold under src/ (client initialization, bundle construction, submission logic, and polling patterns).
This demonstrates explicit readiness for RPC integration and immediate use of Jito bundles upon access approval.

Architecture

The project follows a clean, modular Solana MEV execution model:

Detectors: opportunity discovery

Sizing engine: dynamic risk-adjusted sizing

Builders: transaction + bundle construction

Executors: submission, fallback handling, and atomic flow

Telemetry: structured logs for fill rates, slippage, and latency

This mirrors real-world Solana MEV infrastructure and is designed for safe rollouts, clean observability, and responsible scaling once the block-engine endpoint is available.

Status

The system is stable, documented, and awaits Jito access to begin metrics-driven testing with proper bundle submission.

If maintainers need additional materials (logs, bundle-structure examples, mempool-analysis details, or architectural diagrams), I’m happy to provide them.

LinkedIn: https://www.linkedin.com/in/colin-barber-10bb54174/