In crypto algorithmic trading, a 15-millisecond latency difference or unprotected public mempool submission is the difference between alpha and liquidation.
Retail trading bots fail in production because they rely on slow REST polling, lack slippage control, and fall victim to MEV sandwich bots on DEXs. Institutional trading requires direct WebSocket order routing, atomic smart contract execution, private block builder inclusion (Jito on Solana, Flashbots Protect on Ethereum), and automated kill switches that prevent runaway execution during extreme volatility. PROPELOO designs crypto trading bots with strict risk boundaries: dynamic position sizing, tick-level order book reconstruction, and sub-millisecond event loops.
Frequently Asked Questions
What trading strategies can be automated in custom crypto trading bots?
We build custom engines for high-frequency market making (inventory management and spread capture), spatial and triangular cross-exchange arbitrage, automated grid and DCA (dollar-cost averaging) accumulation, delta-neutral funding rate arbitrage between spot and perpetual futures, and DEX liquidity pool snipers with momentum triggers.
How do you protect DEX trading bots from MEV front-running and sandwich attacks?
We eliminate public mempool vulnerability by routing on-chain transactions directly to private block builders. On Solana, we utilize Jito-Solana bundles with dynamic atomic tip bids, ensuring transactions either execute completely or fail without burning fees. On Ethereum and EVM L2s, we submit orders via Flashbots Protect and private RPC relays with strict slippage tolerances.
What latency benchmarks do your Go and Rust crypto bots achieve?
Our Rust and Go execution daemons process incoming WebSocket tick updates and evaluate risk rules within 15 to 45 microseconds. Network latency to exchange matching engines is minimized to sub-2 milliseconds by co-locating servers in exchange-adjacent AWS data centers (Tokyo for Binance/Bybit, Frankfurt/Dublin for European venues).
Which centralized and decentralized exchanges do your trading bots support?
We support all major centralized exchanges with high-throughput WebSocket and FIX API connectivity: Binance, Bybit, OKX, Coinbase Advanced, Kraken, Deribit, and Bitfinex. For decentralized trading, we support Uniswap v3/v4, Raydium, Orca, Camelot, Curve, and Jupiter DEX aggregator.
How are API keys and private wallet keys secured in bot infrastructure?
Exchange API keys are provisioned with Trade-Only permissions (fund withdrawals strictly disabled) and restricted to static elastic IP addresses. Keys are stored in AWS Secrets Manager or HashiCorp Vault and injected into runtime memory. On-chain private keys are held in hardware security modules (HSM) or encrypted ephemeral containers.
Does your bot architecture include automated circuit breakers and emergency kill switches?
Yes. Every trading bot features hard risk boundaries operating independently of the strategy thread. These include maximum drawdown circuit breakers, position size caps, maximum unhedged delta limits, and exchange connection loss fail-safes that automatically cancel open orders and flatten exposure via market orders if thresholds are breached.
How do you backtest strategies against historical tick data before mainnet deployment?
We run event-driven backtesting against raw historical L2 order book depth and trade tape data. The backtester simulates realistic queue priority, exchange fee tiers (maker rebates vs taker fees), dynamic slippage, and latency jitter, ensuring simulated alpha matches live capital execution.
Can the trading bot handle delta-neutral funding rate arbitrage between spot and perpetuals?
Yes. Our funding rate arbitrage bots identify divergence between spot and perpetual contract pricing. When the 8-hour funding rate is positive, the bot buys spot and shorts the perpetual (or vice versa when negative), collecting periodic funding payments while maintaining zero directional exposure.
How does the system handle exchange API rate limits and WebSocket reconnections?
We implement intelligent leaky-bucket and token-bucket rate limiters matching each venue's API tiers. The connection manager maintains heartbeat pings, automatic silent failover across backup WebSocket endpoints, and local order book resynchronization via REST snapshot merges upon any dropped packet.
Who owns the source code and quantitative trading algorithms?
You own 100% of the intellectual property, source code, and configuration scripts unconditionally. Everything transfers at each sprint invoice without ongoing licensing fees or platform lock-in.
