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The project allows you to create bots for trading on pump.fun. Its core feature is to snipe new tokens. Besides that, learning examples contain a lot of useful scripts for different types of listeners (new tokens, migrations) and deep dive into calculations required for trading.

For the full walkthrough, see Solana: Creating a trading and sniping pump.fun bot.

For near-instantaneous transaction propagation, you can use the Chainstack Solana Trader nodes.

The official maintainers are in the MAINTAINERS.md file. Leave your feedback by opening Issues.

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🚨 SCAM ALERT: Issues section is often targeted by scam bots willing to redirect you to an external resource and drain your funds. I have enabled a GitHub actions script to detect the common patterns and tag them, which obviously is not 100% accurate. This is also why you will see deleted comments in the issues—I only delete the scam bot comments targeting your private keys. Not everyone is a scammer though, sometimes there are helpful outside devs who comment and I absolutely appreciate it.

⚠️ NOT FOR PRODUCTION: This code is for learning purposes only. We assume no responsibility for the code or its usage. Modify for your needs and learn from it (examples, issues, and PRs contain valuable insights).

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🚀 Getting started

Prerequisites

• Install uv, a fast Python package manager.

If Python is already installed, uv will detect and use it automatically.

Installation

1️⃣ Install Python (if needed)

uv python install

Why? uv will fetch and install the required Python version for your system.

2️⃣ Clone the repository

git clone https://github.com/chainstacklabs/pump-fun-bot.git
cd pump-fun-bot

3️⃣ Set up a virtual environment

# Create virtual environment
uv venv

# Activate (Unix/macOS)
source .venv/bin/activate  

# Activate (Windows)
.venv\Scripts\activate

Virtual environments help keep dependencies isolated and prevent conflicts.

4️⃣ Install dependencies

uv pip install -e .

Why -e (editable mode)? Lets you modify the code without reinstalling the package—useful for development!

5️⃣ Configure the bot

# Copy example config
cp .env.example .env  # Unix/macOS

# Windows
copy .env.example .env

Edit the .env file and add your Solana RPC endpoints and private key.

Edit .yaml templates in bots folder. Each file is a separate instance of a trading bot. Examine its parameters and apply your preferred strategy.

Running the bot

# Option 1: run as installed package
pump_bot

# Option 2: run directly
python -m src.bot_runner

You're all set! 🎉

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Note on limits

Solana is an amazing piece of web3 architecture, but it's also very complex to maintain.

Chainstack is daily (literally, including weekends) working on optimizing our Solana infrastructure to make it the best in the industry.

That said, all node providers have their own setup recommendations & limits, like method availability, requests per second (RPS), free and paid plan specific limitations and so on.

So please make sure you consult the docs of the node provider you are going to use for the bot here. And obviously the public RPC nodes won't work for the heavier use case scenarios like this bot.

For Chainstack, all of the details and limits you need to be aware of are consolidated here: Limits <— we are always keeping this piece up to date so you can rely on it.

Changelog

Quick note on a couple on a few new scripts in /learning-examples:

(this is basically a changelog now)

Also, here's a quick doc: Listening to pump.fun migrations to Raydium

Bonding curve state check

check_boding_curve_status.py — checks the state of the bonding curve associated with a token. When the bonding curve state is completed, the token is migrated to Raydium.

To run:

python check_boding_curve_status.py TOKEN_ADDRESS

Listening to the Raydium migration

When the bonding curve state completes, the liquidity and the token graduate to Raydium.

listen_to_raydium_migration.py — listens to the migration events of the tokens from pump_fun to Raydium and prints the signature of the migration, the token address, and the liquidity pool address on Raydium.

Note that it's using the blockSubscribe method that not all providers support, but Chainstack does and I (although obviously biased) found it pretty reliable.

To run:

python listen_to_raydium_migration.py

The following two new additions are based on this question associatedBondingCurve #26

You can take the compute the associatedBondingCurve address following the Solana docs PDA description logic. Take the following as input as seed (order seems to matter):

• bondingCurve address
• the Solana system token program address: TokenkegQfeZyiNwAJbNbGKPFXCWuBvf9Ss623VQ5DA
• the token mint address

And compute against the Solana system associated token account program address: ATokenGPvbdGVxr1b2hvZbsiqW5xWH25efTNsLJA8knL.

The implications of this are kinda huge:

• you can now use logsSubscribe to snipe the tokens and you are not limited to the blockSubscribe method
• see which one is faster
• not every provider supports blockSubscribe on lower tier plans or at all, but everyone supports logsSubscribe

The following script showcase the implementation.

Compute associated bonding curve

compute_associated_bonding_curve.py — computes the associated bonding curve for a given token.

To run:

python compute_associated_bonding_curve.py and then enter the token mint address.

Listen to new direct full details

listen_new_direct_full_details.py — listens to the new direct full details events and prints the signature, the token address, the user, the bonding curve address, and the associated bonding curve address using just the logsSubscribe method. Basically everything you need for sniping using just logsSubscribe and no extra calls like doing getTransaction to get the missing data. It's just computed on the fly now.

To run:

python listen_new_direct_full_details.py

So now you can run listen_create_from_blocksubscribe.py and listen_new_direct_full_details.py at the same time and see which one is faster.

Also here's a doc on this: Solana: Listening to pump.fun token mint using only logsSubscribe

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Pump.fun bot development roadmap (March - April 2025, mostly completed)

As of March 21, 2025, the bot from the refactored/main-v2 branch is signficantly better over the main version, so the suggestion is to FAFO with v2.

As of April 30, 2025, all changes from refactored/main-v2 are merged into the main version.

Stage	Feature	Comments	Implementation status
Stage 1: General updates & QoL	Lib updates	Updating to the latest libraries	✅
	Error handling	Improving error handling	✅
	Configurable RPS	Ability to set RPS in the config to match your provider's and plan RPS (preferably Chainstack 🤩)	Not started
	Dynamic priority fees	Ability to set dynamic priority fees	✅
	Review & optimize json, jsonParsed, base64	Improve speed and traffic for calls, not just getBlock. Helpful overview.	✅
Stage 2: Bonding curve and migration management	logsSubscribe integration	Integrate logsSubscribe instead of blockSubscribe for sniping minted tokens into the main bot	✅
	Dual subscription methods	Keep both logsSubscribe & blockSubscribe in the main bot for flexibility and adapting to Solana node architecture changes	✅
	Transaction retries	Do retries instead of cooldown and/or keep the cooldown	✅
	Bonding curve status tracking	Checking a bonding curve status progress. Predict how soon a token will start the migration process	✅
	Account closure script	Script to close the associated bonding curve account if the rest of the flow txs fails	✅
	PumpSwap migration listening	pump_fun migrated to their own DEX — PumpSwap, so we need to FAFO with that instead of Raydium (and attempt logSubscribe implementation)	✅
Stage 3: Trading experience	Take profit/stop loss	Implement take profit, stop loss exit strategies	FAFO
	Market cap-based selling	Sell when a specific market cap has been reached	Not started
	Copy trading	Enable copy trading functionality	Not started
	Token analysis script	Script for basic token analysis (market cap, creator investment, liquidity, token age)	Not started
	Archive node integration	Use Solana archive nodes for historical analysis (accounts that consistently print tokens, average mint to raydium time)	Not started
	Geyser implementation	Leverage Solana Geyser for real-time data stream processing	✅
Stage 4: Minting experience	Token minting	Ability to mint tokens (based on user request - someone minted 18k tokens)	FAFO

Development timeline

• Development begins: Week of March 10, 2025
• Implementation approach: Gradual rollout in separate branch
• Priority: Stages progress from simple to complex features
• Completion guarantee: Full completion of Stage 1, other stages dependent on feedback and feasibility