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How to Build a pons Liquidity Sniper Bot on Robinhood Chain

#robinhood #bot #architecture #tutorial

Detect new token launches, analyze liquidity, and automate onchain trading with TypeScript and viem.

Robinhood Chain is creating an interesting environment for developers who want to build automated onchain trading systems.

Because Robinhood Chain is EVM-compatible, we can use familiar Ethereum tooling such as TypeScript, viem, Solidity, WebSockets, and smart-contract events.

In this tutorial, we'll build the foundation of a pons liquidity sniper bot that detects newly launched tokens, finds their liquidity pools, evaluates the market, and prepares trades based on predefined risk rules.

⚠️ Disclaimer: This tutorial is for educational purposes only. Automated trading involves significant financial risk. Do not use real funds until you have thoroughly tested your strategy and infrastructure.

What We're Building

The bot follows an event-driven architecture:

pons Factory
     │
     │ TokenLaunched
     ▼
Launch Detector
     │
     ▼
Pool Analyzer
     │
     ├── Liquidity
     ├── Price
     ├── Slippage
     ├── Price Impact
     └── Risk Checks
     │
     ▼
Trade Executor
     │
     ▼
Position Monitor
     │
     ▼
Exit Strategy
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The important idea is that we're listening to the blockchain instead of scraping a website.

The pons documentation recommends indexing the factory's TokenLaunched event and then monitoring the corresponding pool's Swap events.

Prerequisites

You'll need:

  • Node.js
  • TypeScript
  • Basic EVM knowledge
  • A Robinhood Chain wallet
  • Some ETH for testing transactions
  • An RPC endpoint

We'll use:

  • TypeScript
  • viem
  • dotenv

Install the dependencies:

npm init -y

npm install viem dotenv
npm install -D typescript tsx @types/node
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1. Connect to Robinhood Chain

Robinhood Chain is an Ethereum-compatible Layer-2.

The current mainnet configuration includes:

Chain ID: 4663
Native token: ETH
RPC:
https://rpc.mainnet.chain.robinhood.com
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Official documentation:

Robinhood Chain Documentation

Create a .env file:

RPC_URL=https://rpc.mainnet.chain.robinhood.com
PRIVATE_KEY=YOUR_PRIVATE_KEY
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Never commit .env to GitHub.

For production, use a dedicated trading wallet and a reliable RPC provider.

2. Create the Robinhood Chain Client

Create src/config.ts:

import "dotenv/config";
import { createPublicClient, http } from "viem";

export const robinhood = {
  id: 4663,
  name: "Robinhood Chain",
  nativeCurrency: {
    name: "Ether",
    symbol: "ETH",
    decimals: 18,
  },
  rpcUrls: {
    default: {
      http: [
        process.env.RPC_URL ??
          "https://rpc.mainnet.chain.robinhood.com",
      ],
    },
  },
} as const;

export const publicClient = createPublicClient({
  chain: robinhood,
  transport: http(),
});
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Now our application can read blockchain state and subscribe to events.

If we later need to execute transactions, we'll create a wallet client using a private key stored securely outside the source code.

3. Detect New pons Tokens

This is the core of the sniper.

The pons factory emits a TokenLaunched event containing information about the new token and its pool.

The event looks like:

event TokenLaunched(
    address indexed token,
    address indexed deployer,
    address indexed dexFactory,
    address pairToken,
    address pool,
    uint256 dexId,
    uint256 launchConfigId,
    uint256 positionId,
    uint256 restrictionsEndBlock,
    uint256 initialBuyAmount
)
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We can define it with viem:

import { parseAbiItem } from "viem";

const launchEvent = parseAbiItem(
  "event TokenLaunched(" +
  "address indexed token," +
  "address indexed deployer," +
  "address indexed dexFactory," +
  "address pairToken," +
  "address pool," +
  "uint256 dexId," +
  "uint256 launchConfigId," +
  "uint256 positionId," +
  "uint256 restrictionsEndBlock," +
  "uint256 initialBuyAmount)"
);
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Now we can watch the factory:

const PONS_FACTORY =
  "0xA5aAb3F0c6EeadF30Ef1D3Eb997108E976351feB";

publicClient.watchEvent({
  address: PONS_FACTORY,
  event: launchEvent,

  onLogs(logs) {
    for (const log of logs) {
      console.log("New token:", log.args.token);
      console.log("Pool:", log.args.pool);

      analyzeLaunch(log.args);
    }
  },
});
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The bot now has a real-time launch detector.

4. Analyze the New Pool

Detecting a launch doesn't mean we should immediately buy.

First, collect market information.

For each new pool, we want to know:

Token
Pool
Liquidity
Price
Volume
Price impact
Slippage
Launch restrictions
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A simple strategy interface could look like:

interface MarketData {
  token: `0x${string}`;
  pool: `0x${string}`;
  liquidityEth: number;
  priceImpactBps: number;
  slippageBps: number;
}
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Then create a risk filter:

const MIN_LIQUIDITY = 1;
const MAX_PRICE_IMPACT = 1000;
const MAX_SLIPPAGE = 500;

function shouldBuy(data: MarketData): boolean {
  if (data.liquidityEth < MIN_LIQUIDITY) {
    return false;
  }

  if (data.priceImpactBps > MAX_PRICE_IMPACT) {
    return false;
  }

  if (data.slippageBps > MAX_SLIPPAGE) {
    return false;
  }

  return true;
}
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The numbers above are examples only. Your actual thresholds should come from testing and risk analysis.

5. Why Liquidity Matters

One of the biggest mistakes when trading newly launched tokens is looking only at market capitalization.

Imagine:

Market Cap: $500,000
Liquidity:  $8,000
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The market cap might look impressive, but the available liquidity is tiny.

A relatively small order can therefore create significant price impact.

That's why our bot should focus on:

Liquidity
+
Expected output
+
Price impact
+
Slippage
+
Trade size
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A simple position-sizing rule could be:

const maxTradeEth = liquidityEth * 0.005;
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This prevents the bot from becoming an excessively large participant in a small pool.

6. Check Launch Restrictions

Newly launched pools may have protocol-specific restrictions.

pons exposes restrictionsEndBlock through the launch event.

That means the bot should check the current block before attempting an entry:

const currentBlock =
  await publicClient.getBlockNumber();

if (currentBlock < restrictionsEndBlock) {
  console.log("Launch restrictions still active");
  return;
}
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This is a good example of why a trading bot should understand the protocol rather than simply send transactions as quickly as possible.

Always verify the current pons documentation and deployment configuration before relying on a particular restriction mechanism.

7. Calculate Price

pons uses Uniswap V3 pools.

The pool's slot0() contains the sqrtPriceX96 value used to derive the current pool price.

Conceptually:

sqrtPriceX96
      ↓
Price ratio
      ↓
Token0 / Token1
      ↓
Adjust token ordering
      ↓
Token price
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Using viem:

const slot0Abi = [
  {
    type: "function",
    name: "slot0",
    stateMutability: "view",
    inputs: [],
    outputs: [
      { name: "sqrtPriceX96", type: "uint160" },
      { name: "tick", type: "int24" },
      { name: "observationIndex", type: "uint16" },
      { name: "observationCardinality", type: "uint16" },
      { name: "observationCardinalityNext", type: "uint16" },
      { name: "feeProtocol", type: "uint8" },
      { name: "unlocked", type: "bool" }
    ]
  }
] as const;

const [sqrtPriceX96] =
  await publicClient.readContract({
    address: pool,
    abi: slot0Abi,
    functionName: "slot0",
  });
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The exact price calculation must account for token decimals and whether the target token is token0 or token1.

8. Execute Only After Simulation and Risk Checks

Once our filters pass, the flow becomes:

Token detected
      ↓
Pool verified
      ↓
Liquidity sufficient
      ↓
Restrictions checked
      ↓
Price calculated
      ↓
Slippage estimated
      ↓
Trade size calculated
      ↓
Transaction simulated
      ↓
Transaction submitted
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A good bot should simulate or quote the trade before submitting it whenever the integration supports it.

Don't blindly send a swap into a newly created pool.

9. Monitor the Position

The strategy doesn't end after buying.

The bot should store information such as:

interface Position {
  token: `0x${string}`;
  pool: `0x${string}`;
  entryPrice: bigint;
  amount: bigint;
  entryBlock: bigint;
  txHash: `0x${string}`;
}
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Then monitor the pool's Swap events.

This allows us to track:

  • Price
  • Trading volume
  • Pool activity
  • Price movement
  • Exit conditions

10. Add an Exit Strategy

A sniper bot needs an exit strategy just as much as an entry strategy.

For example:

Take Profit 

Entry
  ↓
+50%
  ↓
Sell
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Stop Loss 

Entry
  ↓
-20%
  ↓
Sell
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Trailing Stop 

Entry
  ↓
Price rises
  ↓
Record highest price
  ↓
Price falls X%
  ↓
Sell
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You can also create a liquidity-based exit:

Liquidity drops below threshold
             ↓
        Reduce / Exit
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For newly launched tokens, liquidity changes can sometimes be more informative than price alone.

11. Add a Kill Switch

Automated trading systems need emergency controls.

For example:

let tradingEnabled = true;

function emergencyStop() {
  tradingEnabled = false;
}
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Before submitting a transaction:

if (!tradingEnabled) {
  return;
}
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Other useful limits include:

Maximum trade size
Maximum daily loss
Maximum open positions
Maximum slippage
Maximum price impact
Maximum gas expenditure
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These controls are much more important than making the bot execute a few milliseconds faster.

Final Architecture

The complete system now looks like:

                   Robinhood Chain
                          │
                          ▼
                     pons Factory
                          │
                    TokenLaunched
                          │
                          ▼
                   Launch Detector
                          │
                          ▼
                    Pool Analyzer
                          │
                          ▼
                     Risk Engine
                          │
                    ┌─────┴─────┐
                    │           │
                  PASS         FAIL
                    │           │
                    ▼           ▼
              Trade Executor   Stop
                    │
                    ▼
                Swap Router
                    │
                    ▼
             Position Monitor
                    │
                    ▼
                 Exit
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The most important lesson is that a liquidity sniper shouldn't simply be:

"See new token → buy immediately."

A better system is:

Detect → Analyze → Filter → Size → Execute → Monitor → Exit

Speed matters, but selection and risk management matter more.

What's Next?

The basic architecture can be extended with:

  • WebSocket RPC
  • Redis event queues
  • PostgreSQL trade history
  • Historical backtesting
  • Automatic position sizing
  • Advanced price-impact calculations
  • Telegram/Discord alerts
  • Transaction simulation
  • Multiple RPC providers
  • Automatic failover
  • Prometheus/Grafana monitoring

Robinhood Chain also provides additional developer infrastructure such as Stock Token APIs and Data Streams.

Robinhood Chain Data Streams

These can become useful as the strategy evolves beyond simple launch detection.

Resources

Robinhood Chain

Robinhood Chain Docs

Connecting to Robinhood Chain

Connecting to Robinhood Chain

Smart Contracts

Smart Contracts

Stock Token APIs

Stock Token APIs

Data Streams

Data Streams

pons

pons Documentation

GitHub

The complete project is available here:

Robinhood Chain Bot

You can use it as a starting point for experimenting with event monitoring, liquidity analysis, automated execution, and Robinhood Chain trading infrastructure.

Conclusion

Building a liquidity sniper bot is less about writing a fast swap transaction and more about building a reliable decision-making system.

The core pipeline is:

Blockchain Events
       ↓
Launch Detection
       ↓
Liquidity Analysis
       ↓
Risk Management
       ↓
Position Sizing
       ↓
Execution
       ↓
Position Monitoring
       ↓
Exit
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If you're interested in building on Robinhood Chain, pons provides an interesting environment for experimenting with event-driven onchain applications.

The best sniper isn't necessarily the bot that buys first.

It's the bot that knows when not to buy.

Connect

GitHub logo Benjam1nCup / Robinhood-Trading-Bot-System

Robinhood Chain Trading Bot Robinhood Bot Robinhood copy trading bot Robinhood sniper bot

Robinhood Chain Trading Bot | Robinhood Chain Sniper Bot | Robinhood Chain Copy Trading Bot

An open-source and Strong Strategy collection of Robinhood Chain trading bot and Robinhood Chain sniper bot and Robinhood Chain copy trading bot in Python for high-performance automated on-chain trading.

Robinhood bot dashboard

This repository is primarily intended for educational and research purposes. It includes strategy concepts, implementation approaches, and selected performance screenshots to help developers understand how different automated trading strategies can be designed and tested on Robinhood Chain.

Robinhood Chain is an Ethereum-compatible Layer-2 blockchain built with Arbitrum technology. The mainnet uses Chain ID 4663, ETH as the native gas token, and provides EVM-compatible infrastructure for developers building on-chain applications and trading systems.

The repository does not provide a complete production-ready trading bot source code. Instead, it provides strategy descriptions and research materials that you can use as a foundation for developing your own system.

If you…


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Contact: Telegram: https://t.me/BenjaminCup

If you're building something similar on Robinhood Chain, feel free to check out the repository and experiment with the strategy.

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