Technical Architecture

Snipe Bot is a high-frequency trading automation system designed to operate in real-time blockchain environments. The architecture is built for reliability, security, and sub-second responsiveness, optimized for use on the Binance Smart Chain. It combines decentralized infrastructure, private RPC nodes, intelligent queue management, and bot-executable logic layers.

Rather than relying on browser-based user interaction or third-party analytics dashboards, Snipe Bot is structured as a pure backend-first execution machine with a Telegram-native frontend. This allows users to issue commands from anywhere, and receive lightning-fast execution and feedback in milliseconds.

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System Components

The technical design is modular and event-driven. Core components are outlined as follows:

1. Telegram Interface Layer

• Acts as the user-facing command line

• Parses commands such as /snipe, /limit, /copy, /cancel, /status

• Maintains per-user session memory and authenticated keys (non-custodial)

• Built with Node.js, Telegraf API, integrated with Redis and FastAPI backend

2. Backend Logic Engine

• Contains rule parsers, job queues, memory managers, and failover routines

• Maps user commands to pre-defined logic sets (e.g., price conditionals, copy logic)

• Interfaces with real-time data through WebSockets and polling

3. Private Node Network (RPC Infrastructure)

• Utilizes multiple geographically distributed full BSC nodes

• Maintains direct access to mempool, reducing public RPC latency

• Enables early detection of liquidity events, token listings, and price action

4. Execution & Sniping Module

• High-speed engine that monitors token prices, DEX states, and liquidity in real-time

• Deploys smart transaction bundles that include pre-checks, simulation, and gas profiling

• Executes within sub-500ms latency under optimized conditions

5. Smart Security Layer

• Analyzes smart contracts before execution using static and dynamic tools

• Simulates sells using dry-run transaction calls to detect honeypots

• Monitors buy/sell tax ranges and liquidity pool behaviors

• Flags unsafe tokens and halts interaction before loss occurs

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Technology Stack

Snipe Bot leverages a modern, battle-tested tech stack to handle thousands of concurrent sessions while maintaining stability and speed.

Component	Stack
Backend	Node.js (with Express + FastAPI)
Blockchain	Web3.js + BSC JSON-RPC APIs
Data Caching	Redis (with TTL per trade context)
Transaction Simulation	BSC forked ganache-cli, eth_call pre-checks
Security Module	Python contract parser, static opcode audit
Frontend Bot	Telegraf.js, Telegram Bot API
DevOps	Dockerized microservices, multi-instance horizontal scaling
Data Relay	WebSocket + polling fallback, mempool scan + LP monitoring

All sensitive data is transient by default. No seed phrases, private keys, or user token balances are stored on any persistent service layer.

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Execution Flow

The real-time execution pipeline is optimized for reliability, and designed to minimize failure points across the trading lifecycle. A typical trade initiated by Snipe Bot passes through the following sequential stages:

1. User Command Parsing: The Telegram bot captures user input (e.g., /snipe 0xToken 0.000015) and parses the command syntax. The input is validated locally before being passed to the backend.

2. Mempool & Price Watch Activation: The bot activates real-time watchers on both mempool and liquidity pool state for the specified token. These watchers remain active until a trigger is reached or timeout occurs.

3. Contract Verification:

Once a trigger fires (e.g., price hit), the token contract is analyzed via:

• eth_call to simulate buy/sell

• Bytecode scanning to identify suspicious or blacklisted patterns

• Liquidity and tax inspection (via router analysis)

4. Transaction Bundle Creation: A raw transaction bundle is prepared:

• Route, gas, slippage parameters calculated

• MEV resistance applied (randomization and pre-gas-boost)

• Optional wallet proxy routing (if set)

5. Execution and Confirmation: The transaction is signed (non-custodially) and broadcasted through the private node. A confirmation poller monitors status, logs receipt, and notifies the user.

6. Logging and Follow-up: Trade logs, result hashes, and PnL estimation are returned to the user in Telegram. If limit orders or trailing stops are active, those processes persist and re-enter the watch queue.

This multi-step system is designed to ensure that each trade is not only fast, but informed and protected.