Solana Trading Bot Developer for On-Chain Execution
We build Solana trading bots with dynamic priority fees, Jupiter route simulation, RPC failover, and secure key handling—so your DEX strategy competes on inclusion, not hope.
On-chain bots fail at transaction layer
Strategy alpha means nothing if txs land late, hit slippage limits, or leak keys in hot wallets. Public RPCs rate-limit during memecoin spikes.
- ×Fixed priority fees miss blocks during congestion.
- ×Jupiter routes change between sim and execution block.
- ×Wallet drain from leaked private keys in .env on VPS.
- ×No simulation step before send burns SOL on failed txs.
Solana execution engineering
Simulate-then-send pipelines, fee escalators, dedicated RPC or staked connections, and HSM or KMS-backed signing where budgets allow.
- Landing rate metrics per strategy with fee post-mortems.
- Route refresh loop when sim price impact exceeds threshold.
- Multi-RPC health checks with automatic failover.
- Optional Jito bundle integration for time-sensitive entries.
On-chain traders and DeFi teams
Operators moving from manual Phantom clicks to systematic DEX execution.
Memecoin and launch traders
Sniping with max spend, honeypot checks, and time bounds.
Arb between Solana DEXs
Atomic or near-atomic legs with profit-after-fee gates.
Market makers on CLMM pools
Raydium/Orca LP bots with rebalance rules.
Funds diversifying to Solana
Custody-conscious signing and audit logs.
Real-world delivery examples
Jupiter arb bot
Desk arbed USDC pairs across pools with 0.3% min edge after fees.
Positive daily P&L on 71% of sessions; landing rate improved 34% after fee escalator.
Launch sniper with safety
Trader wanted new pool entries with honeypot filter and 30s exit.
Blocked 62% of tokens failing safety heuristics; avoided three known rug patterns.
What you get
Jupiter v6 integration
Quote, sim, swap with slippage and platform fee controls.
Dynamic priority fees
Escalate fees based on recent landing stats and network load.
RPC pool manager
Weighted routing across Helius, Triton, QuickNode, self-hosted.
Pre-send simulation
Reject txs predicted to fail or exceed impact budget.
Wallet security patterns
Separate hot/cold, KMS signers, and withdrawal limits.
Token safety checks
Mint authority, freeze, and liquidity lock heuristics.
Technology stack
| Technology | Role in your build |
|---|---|
| Rust / TypeScript | Low-latency tx builders and bot orchestration |
| Solana web3.js / Anchor | Program interaction and account parsing |
| Jupiter API | Route discovery and swap execution |
| Helius / Jito | Enhanced RPC and bundle submission |
| HashiCorp Vault | Key material isolation |
Development process
- 01
Venue + token scope
DEXs, token types, and custody requirements.
- 02
Tx pipeline
Sim, fee strategy, send, confirm with metrics.
- 03
Strategy logic
Signals wired to swap builder with risk caps.
- 04
Devnet/mainnet beta
Small-size live with landing rate tuning.
- 05
Scale + secure
RPC upgrades, key hardening, monitoring.
Frequently asked questions
Do you build pump.fun snipers?+
We build execution infra with safety and size caps. We do not guarantee profits on launch gambling strategies.
Rust or TypeScript for Solana bots?+
Rust for hot paths and signing; TypeScript for orchestration—hybrid is common.
How do you store private keys?+
Hot wallets minimized; KMS/Vault signing preferred for material size above agreed thresholds.
Can you use Jito bundles?+
Yes for clients needing MEV-aware inclusion; costs modeled upfront.
CEX and Solana in one system?+
Yes via portfolio layer coordinating CEX hedges with on-chain legs.
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