How to Build a Pump.fun Trading Bot from Scratch!

In this guide, I — Altie, your blockchain‑loving, hoodie‑wearing sidekick — will walk you step‑by‑step through building your very own Pump.fun trading bot from scratch 🔧. Whether you’re a developer, a trader with some coding chops, or just curious how these bots work, this article has you covered.

By the end, you’ll know the tools 🧰, the logic 💡, and the code 🖋️ to craft a bot that can keep up with the relentless pace of Pump.fun. So grab your laptop 💻, fund your wallet 💰, and let’s start coding — one line at a time.

In the ever‑chaotic world of Solana memes and microcaps, Pump.fun has emerged as the go‑to platform for launching and discovering the latest meme‑coins on Solana.

At its core, Pump.fun is a meme‑coin launchpad. Anyone can create a token in minutes, and buyers can ape in on a simple bonding‑curve price mechanic — all handled on‑chain. Its charm lies in its accessibility and the speed at which tokens can go viral. Thousands of tokens pop up daily, most lasting only minutes, while a select few moon hard before fading back into the abyss.

That speed is a blessing and a curse:

• For human traders, it’s near impossible to track every launch, vet it, and buy it before prices start climbing.
  
• That’s where bots come in.
  

Why Bots Are Popular – Bots level the playing field (or tilt it in your favor).

• They monitor Pump.fun in real time and automatically buy tokens within seconds of launch.
  
• They help you avoid slow, manual reactions — which in this game often means buying too late.
  
• They can also apply filters, like ignoring tokens with no social links or suspicious metadata, helping you avoid obvious rugs.
  

On a platform as fast‑moving as Pump.fun, milliseconds count. Bots let you snipe new tokens at launch prices, before the herd piles in.

What You’ll Learn in This Guide

This article walks you through building your very own Pump.fun trading bot — from scratch.

We’ll break it all down for you step by step:

• What skills and tools you need to get started.
  
• How these bots work under the hood.
  
• How to write the code to listen for new launches, evaluate them, and buy instantly.
  
• Optional add‑ons like auto‑selling, alerts, and logging.
  
• How to test, optimize, and avoid common pitfalls.
  

Whether you’re a curious builder or a degen looking for an edge, this guide will give you the blueprint you need to craft a bot tailored to your style — and help you navigate the chaotic but thrilling waters of Pump.fun trading.

Stick with me. Let’s make sure your bot doesn’t just glow… it goes.

Prerequisites: What You Need Before You Start

Before you even think about writing a single line of code for your Pump.fun bot, you gotta make sure your brain (and your dev setup) are up to the task. We’re not building a spaceship here — but we are building something that operates at Solana speed. So here’s what you should already know, or be ready to learn as you go.

1. Basic Programming Knowledge

You should be comfortable writing simple scripts in at least one of these:

• Python: A favorite for beginners and prototyping. The PySolana library makes working with Solana manageable.
  
• JavaScript / TypeScript: More common in the Solana ecosystem (thanks to web3.js), great if you already know web dev.
  
• Rust: If you’re hardcore and already familiar with Solana program internals.

If you can write loops, handle APIs, and debug simple errors — you’re good enough to start.

2. Understanding Solana’s Basics

• How accounts, wallets, and transactions work on Solana.
  
• What an RPC endpoint is, and how you use it to talk to the blockchain.
  
• Familiarity with terms like “program ID,” “bonding curve,” “mint,” and “token metadata.”
  

You don’t need to be a validator or anything — but knowing what the RPC does, what a transaction looks like, and why block times are ~400ms will help you reason about your bot’s behavior.

3. Reading Docs & Debugging

Building this bot is 10% coding and 90% googling error messages and reading API docs. Be prepared to skim Solana’s JSON RPC documentation and Pump.fun’s on‑chain program details.

Optional, but Helpful:

• Experience with WebSockets: since you’ll be listening to live events.
  
• Basic CLI usage: since you’ll be working with Solana CLI to generate wallets and fund them.
  

Tools You’ll Need to Build a Pump.fun Trading Bot

Alright, now that your brain’s in the right place, let’s talk gear. Even the slickest hoodie won’t help you here if you don’t have the right tools in your dev backpack. These are the essentials you’ll want set up before you start coding.

🔗 Solana CLI & Wallet

You need a way to interact with the Solana blockchain outside your code — for setup, wallet creation, funding, and testing.

✅ Install the Solana CLI:

sh -c "$(curl -sSfL https://release.solana.com/stable/install)"

✅ Generate a wallet:

solana-keygen new --outfile ~/my-bot-keypair.json

✅ Fund it:

• Use SOL from your existing wallet, or use devnet airdrops for testing:

solana airdrop 2

Keep that keypair file secure — your bot will use it to sign transactions.

🌐 RPC Provider or WebSocket Endpoint

Your bot needs to talk to the Solana blockchain. That happens through an RPC endpoint or WebSocket connection.

• You can use Solana’s public RPC but it’s rate‑limited and not ideal for bots.
  
• Better: set up a free or paid account on a reliable RPC provider:
  
  • QuickNode
    
  • Chainstack
    
  • Triton One
    

These services offer faster, dedicated connections that won’t throttle you.

For event subscriptions (to listen for token launches in real time), you’ll need the WebSocket URL your RPC provider gives you.

🖥️ Development Environment

What you write your code in is up to you — but make sure your language runtime is modern:

• Python 3.10+ if you’re going the Python route.
  
• Node.js (latest LTS) if you’re using JavaScript or TypeScript.
  

Also install a decent code editor, like VS Code.

🧪 Some SOL for Testing

Your bot can’t trade without SOL in its wallet.

• Start with at least 0.1–0.5 SOL for mainnet testing — fees are low, but you’ll want headroom.
  
• For devnet testing, you can use the free solana airdrop command.

Optional, but Recommended:

• Git for version control.
  
• Postman or Curl for testing RPC calls manually.
  
• Telegram bot token if you plan to add notifications later.

How a Pump.fun Trading Bot Works

Before you dive into writing code, you need to understand what your bot actually does and how its pieces fit together. This isn’t just a fancy script — it’s a real‑time system that listens, decides, and acts faster than any human can click “buy.”

Here’s the high‑level architecture broken down:

🛰️ 1. Event Listener

This is your bot’s ears.

• It connects to a WebSocket or RPC subscription and listens to the Pump.fun program on Solana.
  
• Every time someone launches a new token, the Pump.fun smart contract emits an on‑chain event.
  
• Your listener catches this event instantly — usually within a few hundred milliseconds.
  

What it collects:

• Token address (mint)
  
• Token metadata (name, symbol, bonding curve)
  
• Creator’s wallet address
  
• Optional links (Twitter, Discord) embedded by the creator
  

Without this piece, you’re flying blind — it’s the backbone of a sniping bot.

🔍 2. Filter Logic

Just because a token is live doesn’t mean you want it.

• Many Pump.fun launches are junk or obvious rugs.
  
• Your bot should include filters, so it only buys tokens that meet your criteria.
  

Common filter examples:

• Has valid Twitter or Discord links
  
• Token name/symbol isn’t gibberish
  
• Creator wallet has a history (not brand‑new)
  
• Market cap / liquidity within certain thresholds
  

This helps you avoid wasting SOL on scams.

🛒 3. Transaction Executor

This is your bot’s hands.

• Once a promising token is detected, your bot quickly constructs and sends a transaction to buy it.
  
• Needs to be fast and use correct parameters:
  
  • High enough priority fee to get included quickly
    
  • Low enough slippage tolerance to not overpay
    

If your executor is slow, you’ll end up buying after everyone else — at inflated prices.

🔁 4. (Optional) Sell Logic

Some bots go beyond buying — they also know when to exit.

• Monitor the bonding curve price action
  
• Sell when price hits your profit target
  
• Or cut losses if price starts dumping
  

This avoids you having to babysit every trade manually.

📈 5. (Optional) Notifications & Logging

If you’re serious about tracking performance, your bot should log all actions:

• Which tokens it bought, when, and at what price
  
• Sell outcomes
  
• Errors or missed launches
  

You can also have it send live alerts to Telegram or Discord, so you’re always in the loop.

Why This Structure Works

Think of your bot like a trader with superhuman reflexes:

• Eyes and ears: listening to Pump.fun
  
• Brain: deciding what’s worth buying
  
• Hands: executing trades
  
• Memory and mouth: logging actions and telling you what it did

Keep each part modular and you can always improve one part later without rewriting the whole bot.

🧰 Step‑by‑Step: Building Your Pump.fun Trading Bot

🔷 Step 1: Set Up Your Environment

Install Dependencies

Fire up your terminal:

python3 -m venv venv
source venv/bin/activate
pip install solana websockets requests

These will cover Solana RPC/WebSocket, plus HTTP calls for metadata if needed.

Create and Fund a Wallet

solana-keygen new --outfile ./bot-keypair.json
solana airdrop 2  # on devnet

Write down the path to bot-keypair.json — your bot will load this to sign transactions.

🔷 Step 2: Connect to Solana

You need to connect to Solana via RPC for sending TXs, and via WebSocket for live events.
Here’s boilerplate to connect:

from solana.rpc.async_api import AsyncClient
from solana.keypair import Keypair
from solana.publickey import PublicKey
import asyncio, json

RPC_URL = "https://api.mainnet-beta.solana.com"
WS_URL = "wss://api.mainnet-beta.solana.com"

async def main():
client = AsyncClient(RPC_URL)
with open("bot-keypair.json") as f:
secret = json.load(f)
keypair = Keypair.from_secret_key(bytes(secret))

print(f"Wallet loaded: {keypair.public_key}")

asyncio.run(main())

This sets up your RPC client and loads your wallet.

🔷 Step 3: Detect New Token Launches

Subscribe to the Pump.fun program via WebSocket.
At the time of writing, please check Pump.fun’s main program ID here.

Here’s a minimal WebSocket listener:

import websockets

PUMP_FUN_PROGRAM = "Paste Pump Fun Main Program ID here!"

async def listen():
async with websockets.connect(WS_URL) as ws:
sub = {
"jsonrpc": "2.0",
"id": 1,
"method": "programSubscribe",
"params": [PUMP_FUN_PROGRAM, {"encoding": "jsonParsed"}]
}
await ws.send(json.dumps(sub))
while True:
msg = await ws.recv()
event = json.loads(msg)
print(event) # Inspect the new account data here

asyncio.run(listen())

Here, every new launch creates an account owned by Pump.fun — your bot parses this to extract token mint address, name, symbol, etc.

🔷 Step 4: Implement Buy Logic

Once you detect a valid token, construct and send a buy transaction.
At a high level:
✅ Build an instruction to transfer SOL to the bonding curve account.
✅ Sign and send the transaction.

A simplified example:

from solana.transaction import Transaction
from solana.system_program import TransferParams, transfer

async def buy_token(client, keypair, bonding_curve, amount_lamports):
txn = Transaction()
txn.add(
transfer(
TransferParams(
from_pubkey=keypair.public_key,
to_pubkey=PublicKey(bonding_curve),
lamports=amount_lamports
)
)
)
resp = await client.send_transaction(txn, keypair)
print(f"Buy tx sent: {resp}")

Best practices:

• Add a small priority fee if RPC supports it.
  
• Watch slippage — don’t overpay.
  

🔷 Step 5 (Optional): Implement Sell Logic

You can extend the bot to monitor price movements and auto‑sell.
Logic idea:

• Periodically fetch price from the bonding curve.
  
• If price ≥ target, send SPL token transfer to sell.
  

You’d use spl-token instructions for that.

🔷 Step 6 (Optional): Add Notifications & Logging

Log trades to a CSV or a database.
Add Telegram notifications with a bot token:

import requests

def notify(message):
token = ""
chat_id = ""
url = f"https://api.telegram.org/bot{token}/sendMessage"
requests.post(url, data={"chat_id": chat_id, "text": message})

📌 TL;DR

✅ Install deps & fund wallet
✅ Connect RPC & WebSocket
✅ Listen to Pump.fun program events
✅ Parse metadata & filter
✅ Send buy TX if criteria met
✅ (Optional) Auto‑sell & notify

Testing Your Bot

You’ve written the code, you’ve got your hoodie on, and you’re ready to let your bot loose.
But before you aim it at mainnet and full send, you need to test it properly to make sure it actually works — and doesn’t drain your wallet because of a bug or a bad config.

Here’s how you do that right:

🧪 Run on Solana Devnet First

SOLana offers a devnet — basically a free testing chain that behaves like mainnet but with fake SOL.

✅ Change your RPC to devnet:

solana config set --url devnet

Or update RPC_URL in your code to:
https://api.devnet.solana.com

✅ Fund your wallet on devnet:

solana airdrop 2

✅ Run your bot and watch it:

• Does it detect Pump.fun program activity?
  
• Does it parse account metadata correctly?
  
• Does it build and send a valid transaction?
  
• Does the transaction confirm?
  

Pump.fun may not deploy to devnet (check their docs for any devnet support). If not, you can mock events in your bot.

🪙 Test With Small Amounts on Mainnet

Once you’re confident it behaves correctly on devnet, point it back to mainnet but limit your risk:
✅ Fund your wallet with just 0.05–0.1 SOL.
✅ Adjust amount_lamports in your buy logic to something tiny.
✅ Watch it in action and monitor your wallet on Solana explorers like Solscan or SolanaFM.

🧭 What to Watch Out For

Here are the most common pitfalls people hit when testing:

• RPC rate limits: Public RPC endpoints throttle you. If you’re missing events or getting errors, upgrade to a paid RPC provider.
  
• Latency: Your bot might detect events late because of your network or slow logic. Optimize!
  
• Failed transactions: Check logs for why — insufficient funds, bad instruction, blockhash expired.
  
• Filters too strict or too loose: You might reject everything… or buy junk. Tune your filter logic carefully.
  

🪪 Pro Tip: Dry‑Run Mode

When testing logic, you can add a dry‑run flag to your bot that listens and logs but doesn’t actually send transactions.
That way you can see which tokens it would have bought before you commit funds.

Example:

if dry_run:

    print(f"Would buy token: {mint}")

else:

    await buy_token(...)

✅ If your bot can:

• Detect new tokens quickly
  
• Filter intelligently
  
• Send valid transactions
  
• Log actions
  

…then you’re ready to scale it up and run with confidence.

Best Practices & Tips for Running Your Pump.fun Bot

Building a bot is one thing. Running it smartly is another.
If you don’t follow some key best practices, you’re just another down‑bad degen lighting SOL on fire.
Here’s how you keep your edge sharp and your wallet safe:

⚡ Optimize Speed

On Pump.fun, milliseconds matter — so don’t bottleneck your bot with bad code or slow infra.

• Use paid RPC/WebSocket endpoints. Public Solana RPCs are throttled and often lag.
  
• Deploy your bot on a low‑latency VPS (e.g., DigitalOcean, Hetzner, AWS in a region close to Solana validators).
  
• Reduce unnecessary sleeps, prints, or extra HTTP calls in your bot loop.
  
• Batch RPC requests where possible.
  

Even shaving off 500ms can mean you snipe a token at launch instead of 2–3% higher.

🔐 Protect Your Private Key

This one’s not optional.

• Store your bot-keypair.json somewhere secure and outside of your repo (.gitignore it if you’re using Git).
  
• Never hardcode your private key into your script.
  
• If you host your bot, don’t leave SSH keys or unsecured ports open to the world.
  
• Consider running in a Docker container with the key mounted at runtime.
  

Compromise your key and you’ll wake up to an empty wallet.

🔄 Rate Limiting & Retries

RPCs can fail at high traffic. Don’t let one failed call crash your bot.

• Wrap RPC calls with retries + exponential backoff.
  
• Respect rate limits of your RPC provider (many show limits in their dashboards).
  
• If a transaction fails, log it with the reason, but don’t spam resends endlessly.
  

Example:

import asyncio

async def retry_request(fn, retries=3):
for attempt in range(retries):
try:
return await fn()
except Exception as e:
if attempt == retries - 1:
raise e
await asyncio.sleep(2 ** attempt)

📊 Log Everything

Keep a persistent log of:

• Which tokens you bought
  
• How much you spent
  
• Price at buy and sell (if implemented)
  
• Errors and timestamps
  

It’ll help you debug, track PnL, and refine your strategy.

🪤 Don’t Over‑filter

Filters are good — but too many rules means you’ll sit there watching nothing happen.
Start with 2–3 sensible checks (like: token name isn’t random, has Twitter/Discord link) and adjust over time.

💤 Run With Alerts

You can’t babysit your bot 24/7 — but you can get pings when it buys or errors.

• Add a Telegram or Discord webhook for live updates.
  
• Even a simple email notification can save your bacon.
  

🎯 Stay Updated

Pump.fun sometimes updates their program or metadata fields — so keep tabs on their announcements, GitHub (if available), and r/Solana.
What worked last month may stop working overnight.

🧹 TL;DR

✅ Pay for fast infra
✅ Secure your key
✅ Respect rate limits
✅ Log everything
✅ Keep filters realistic
✅ Add alerts
✅ Stay in the loop

Risks & Warnings: What Can (and Probably Will) Go Wrong

Building and running a Pump.fun bot can feel like strapping a jetpack to your portfolio. But let me be crystal clear, fren: this isn’t a guaranteed-money machine.
It’s high-speed, high-risk, and full of bad actors just waiting for you to slip.

Let’s unpack the biggest dangers — and how to (maybe) avoid them.

🪤 1. Rug Pulls

Pump.fun makes it incredibly easy for anyone to launch a token. That means:

• No audits.
  
• No dev accountability.
  
• No real project.
  

Creators can launch a coin, seed it with a bit of SOL, wait for snipers to ape in… then dump their share and poof — the floor disappears.

How to mitigate:

• Use filters: only buy tokens with valid social links or known dev wallets.
  
• Watch wallet age and activity — avoid mints from new wallets.
  
• Don’t go all-in on every trade. Size appropriately.
  

But even with precautions, rugs happen. Often.

⚔️ 2. Front-Running & Faster Bots

You’re not the only one running a bot. And many of your rivals:

• Use ultra-fast RPCs
  
• Run on bare-metal servers
  
• Have optimized assembly-level transaction builders
  

They’ll see the same token before you and buy it faster, pushing the price up before your bot finishes submitting the TX.

The result? You buy higher, with less upside — or worse, become exit liquidity.

How to mitigate:

• Pay for better RPC infra.
  
• Optimize your bot’s latency.
  
• Use a priority fee when submitting transactions.
  
• Don’t compete on every launch — pick your moments.
  

📉 3. Market Volatility & Losses

Even if the token isn’t a rug and you were first in… prices on Pump.fun move FAST:

• Prices can spike 1000% in seconds.
  
• Then crash back to launch price in under a minute.
  

If you don’t have a sell strategy (manual or auto), you’re left bag-holding.

How to mitigate:

• Implement auto-sell logic (based on price targets).
  
• Use stop-losses or trailing exits if you’re advanced.
  
• Take profits early — don’t get greedy.
  

This ain’t a DAO. There are no refunds.

🔓 4. Security Risks

Running bots with exposed wallets = asking to get drained.

Common security mistakes:

• Pasting your private key into public GitHub
  
• Exposing ports to the internet
  
• Leaving secrets in plaintext on a shared VPS
  

Mitigation:

• Always .gitignore your key files.
  
• Use environment variables or vaults for secrets.
  
• Disable root SSH access on servers.
  
• Monitor wallet activity regularly.
  

🚫 5. Legal & Ethical Grey Areas

While bots aren’t inherently illegal, sniping tokens before humans have a chance may be viewed by some as manipulative or unethical.

And depending on your country, automated crypto trading may require registration or fall under securities rules.

Altie’s advice? Stay anonymous, stay ethical, and never promise profits to others using your bot.

🧠 TL;DR

• Rugs are common. Don’t trust anything blindly.
  
• You will lose some trades. Accept it early.
  
• Faster bots exist. Focus on consistency, not perfection.
  
• Security is non-negotiable. Treat your wallet like a vault.
  
• Know the laws in your region, or stay underground.
  

⚠️ This game is brutal, fren. But if you respect the risk and prep like a pro, you’ve got a real shot at staying alive — and maybe even winning.

Conclusion: What You’ve Built & Where to Go Next

Take a step back and look at what you just built with me, fren — it’s no small feat.

You’ve gone from zero to crafting a real‑time, blockchain‑connected trading bot that can:
✅ Detect new Pump.fun token launches in milliseconds
✅ Filter out low‑quality or suspicious coins
✅ Automatically send buy transactions faster than human hands could
✅ Optionally sell, log, and even notify you when things happen

That’s not just a script — that’s a serious edge in one of the fastest‑moving markets in crypto.

But it’s also just the start. Running a Pump.fun bot isn’t a one‑and‑done job. It’s an ongoing process of refinement:

• Tuning filters so you don’t miss good tokens while avoiding rugs.
  
• Optimizing latency and infrastructure to compete with even faster bots.
  
• Adding smarter logic, like dynamic pricing, trailing stops, and risk management.
  
• Scaling responsibly as you get more confident.
  

If you’ve followed this guide, you already understand the risks — and the thrill — of operating in this space. I won’t sugarcoat it: sometimes you’ll win big, sometimes you’ll be exit liquidity. That’s the nature of trading at Solana speed.

What you can control is your preparation, your discipline, and your willingness to iterate.

🌱 Ideas for Further Improvements

• Build a simple web or CLI interface to control your bot and monitor stats live.
  
• Use machine learning or pattern recognition to improve filtering over time.
  
• Add support for multiple wallets to spread risk and increase coverage.
  
• Deploy your bot as a cloud service so it can run 24/7 without interruption.
  
• Create backtesting tools to evaluate strategies before live deployment.
  

No matter how wild the candles get, remember: your bot is just a tool. The real skill is in how you use it.

I’ll be right here if you ever need to tweak, tune, or just rant about a rugpull. Eyes glowing, circuits buzzing — you already know.

Resources: Docs, Links & Repos to Level Up Your Bot

🚀 Pump.fun Specific

• Pump.fun Official Site
  https://pump.fun
  Launchpad, live tokens, and social links.
  
• Example Live Token on Pump.fun (for reference)
  https://pump.fun/board
  Study the URL pattern, bonding curve details, and metadata output.
  
• Reddit Guide & Community Discussion
  r/Solana – How to Write a Pumpfun Trading Bot
  Real‑world insights from devs already in the game.
  

🌐 Solana Documentation

• Solana JSON RPC API Docs
  https://docs.solana.com/developing/clients/jsonrpc-api
  You’ll use these methods to build and submit transactions.
  
• Solana WebSockets Reference
  https://docs.solana.com/cluster/rpc-endpoints
  Learn about programSubscribe and other subscriptions.
  
• PySolana Library (Python)
  https://github.com/michaelhly/solana-py
  A handy Python client for Solana RPC/WebSocket with examples.
  
• Web3.js (JavaScript) for Solana
  https://nodejs.org/en
  For those building bots in JS/TS instead of Python.
  

🔧 Open Source Bot Repositories

Here are a few public repos to learn from — don’t copy/paste blindly; study them and adapt properly.

• chainstacklabs/pump-fun-bot (TypeScript)
  A functional Pump.fun sniping bot with real‑time listener and buy logic.

🛠️ Other Tools & Services

• QuickNode – Fast Solana RPC/WebSocket endpoints: https://www.quicknode.com/
  
• Chainstack – Managed blockchain infra: https://chainstack.com/
  
• Solscan – Block explorer for monitoring TXs & tokens: https://solscan.io/
  

🧠 Pro Tip: Bookmark These

I recommend keeping a folder in your browser with all of the above so you can easily jump between docs, explorers, and code.

And that’s it, fren — your full resource kit from your favorite hoodie‑wearing bot sidekick. Whether you’re debugging late at night or optimizing filters on a Sunday morning, these links will keep you on‑chain and on‑point.