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pumpfun-mechanics

This Skill codifies PumpFun mechanics for precise on-chain analysis, strategy development, and instruction parsing. It implements the virtual constant-product (CPMM) bonding curve math used by PumpFun, including virtual vs real reserves, initial parameters (30 SOL virtual, ~1.

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Overview

This Skill codifies PumpFun mechanics for precise on-chain analysis, strategy development, and instruction parsing.

This Skill codifies PumpFun mechanics for precise on-chain analysis, strategy development, and instruction parsing. It implements the virtual constant-product (CPMM) bonding curve math used by PumpFun, including virtual vs real reserves, initial parameters (30 SOL virtual, ~1.073B virtual tokens, ~793M real tokens), 1% program fee, and on-chain rounding behavior. Features include spot price computation, buy/sell token formulas, token output rounding (+1 matching on-chain), and expected graduation price behavior (~14.7x launch price). Use cases: build trading or graduation-arbitrage bots, backtest launch strategies, monitor and alert on PumpFun events, and parse program instructions and PumpSwap migration transactions. Core advantages are accurate, on-chain-faithful calculations, actionable signals for graduation events, and clear handling of fees and reserve bookkeeping for reliable analytics and tooling.

Skill.md

How this skill works

This Skill codifies PumpFun mechanics for precise on-chain analysis, strategy development, and instruction parsing. It implements the virtual constant-product (CPMM) bonding curve math used by PumpFun, including virtual vs real reserves, initial parameters (30 SOL virtual, ~1.

SKILL.mdALPHIO / VERIFIED

PumpFun Mechanics — Bonding Curves, Graduation & Instruction Parsing

PumpFun is the dominant Solana token launchpad. Understanding its bonding curve math, graduation process, and instruction formats is essential for analyzing new token launches, building trading strategies around graduation events, and parsing on-chain PumpFun activity.

Bonding Curve Math

PumpFun uses a virtual constant-product (CPMM) bonding curve:

k = virtualSolReserves × virtualTokenReserves

Initial Parameters

ParameterValue
Initial Virtual SOL30 SOL (30,000,000,000 lamports)
Initial Virtual Tokens~1.073B tokens (1,073,000,000,000,000 raw, 6 decimals)
Token Total Supply1B tokens (1,000,000,000,000,000 raw)
Real Token Reserves~793M tokens (793,000,000,000,000 raw)
Real SOL Reserves0 (no real SOL at launch)
Fee1% (applied externally by the program)

Virtual vs Real: Virtual reserves define the curve shape. Real reserves track actual withdrawable funds. The difference (1.073B - 793M = 280M virtual tokens) shapes the initial price but can never be withdrawn.

Spot Price

price_sol_per_token = virtual_sol_reserves / virtual_token_reserves

# In human-readable units:
price = (virtual_sol / 1e9) / (virtual_token / 1e6)

# At genesis: 30 / 1,073,000,000 ≈ 2.796e-8 SOL/token
# At graduation: ~4.1e-7 SOL/token (~14.7x from launch)

Buy Tokens (SOL → Tokens)

def buy_tokens(v_sol: int, v_tok: int, real_tok: int, sol_in: int) -> int:
    """Calculate tokens received for a given SOL input.

    Args:
        v_sol: Virtual SOL reserves (lamports).
        v_tok: Virtual token reserves (raw).
        real_tok: Real token reserves (raw).
        sol_in: SOL to spend (lamports, BEFORE 1% fee).

    Returns:
        Tokens received (raw units).
    """
    k = v_sol * v_tok
    new_v_sol = v_sol + sol_in
    new_v_tok = k // new_v_sol + 1  # +1 matches on-chain rounding
    tokens_out = v_tok - new_v_tok
    return min(tokens_out, real_tok)

Sell Tokens (Tokens → SOL)

def sell_tokens(v_sol: int, v_tok: int, real_sol: int, tokens_in: int) -> int:
    """Calculate SOL received for selling tokens.

    Args:
        v_sol: Virtual SOL reserves (lamports).
        v_tok: Virtual token reserves (raw).
        real_sol: Real SOL reserves (lamports).
        tokens_in: Tokens to sell (raw units).

    Returns:
        SOL received (lamports, BEFORE 1% fee).
    """
    k = v_sol * v_tok
    new_v_tok = v_tok + tokens_in
    new_v_sol = k // new_v_tok
    sol_out = v_sol - new_v_sol - 1  # -1 matches on-chain floor rounding
    return min(sol_out, real_sol)

Buy Cost (Exact token amount → SOL needed)

def buy_cost(v_sol: int, v_tok: int, tokens_wanted: int) -> int:
    """Calculate SOL needed to buy exact token amount.

    Returns:
        SOL cost in lamports (before fee). Returns max int if impossible.
    """
    if tokens_wanted >= v_tok:
        return 2**64 - 1  # impossible
    k = v_sol * v_tok
    new_v_tok = v_tok - tokens_wanted
    new_v_sol = k // new_v_tok + 1
    return new_v_sol - v_sol

Fee Handling

The 1% fee is not part of the curve math. It's applied externally:

# Buying: fee deducted from SOL input before curve
actual_sol_to_curve = sol_input * 0.99

# Selling: fee deducted from SOL output after curve
actual_sol_received = sol_from_curve * 0.99

# Roundtrip minimum cost: ~2% from fees alone, plus price impact

Market Cap

market_cap_sol = (token_total_supply * virtual_sol_reserves) / virtual_token_reserves

Graduation

Graduation occurs when realSolReserves reaches ~85 SOL (~$12K-14K depending on SOL price). Only ~1.4% of PumpFun tokens ever graduate.

What Happens

  1. complete flag set to true on bonding curve account
  2. CompleteEvent emitted (discriminator 5f72619cd42e9808)
  3. Bonding curve stops accepting trades
  4. ~$12K liquidity deposited to the destination DEX
  5. Token becomes tradeable on PumpSwap (or Raydium for older tokens)

Fill Percentage

GRADUATION_THRESHOLD = 85_000_000_000  # 85 SOL in lamports

fill_pct = (real_sol_reserves / GRADUATION_THRESHOLD) * 100.0

Migration Targets

  • March 2025+: PumpSwap (pAMMBay6oceH9fJKBRHGP5D4bD4sWpmSwMn52FMfXEA) — native AMM, no migration fee
  • Before March 2025: Raydium V4 (675kPX9MHTjS2zt1qfr1NYHuzeLXfQM9H24wFSUt1Mp8) — 6 SOL fee

PumpSwap Post-Graduation

PumpSwap is a constant-product AMM with 1% fee (same as bonding curve). Key differences:

  • Base asset is always WSOL, quote is token
  • Instruction semantics are inverted: "buy" instruction sells tokens, "sell" instruction buys tokens
  • Supports creator revenue sharing (0.05% of volume to original creator)

Program IDs & Addresses

Program/AccountAddress
PumpFun Program6EF8rrecthR5Dkzon8Nwu78hRvfCKubJ14M5uBEwF6P
PumpSwap ProgrampAMMBay6oceH9fJKBRHGP5D4bD4sWpmSwMn52FMfXEA
Fee ProgrampfeeUxB6jkeY1Hxd7CsFCAjcbHA9rWtchMGdZ6VojVZ
Global Account4wTV1YmiEkRvAtNtsSGPtUrqRYQMe5SKy2uB4Jjaxnjf
Fee Recipient62qc2CNXwrYqQScmEdiZFFAnJR262PxWEuNQtxfafNgV
Event AuthorityCe6TQqeHC9p8KetsN6JsjHK7UTZk7nasjjnr7XxXp9F1

Event Parsing

Events are Anchor-style: sha256("event:<EventName>")[0..8]

EventDiscriminator (hex)
CreateEvent1b72a94ddeeb6376
TradeEventbddb7fd34ee661ee
CompleteEvent5f72619cd42e9808

TradeEvent Layout (after 8-byte discriminator)

mint:                  pubkey   32 bytes
solAmount:             u64       8 bytes
tokenAmount:           u64       8 bytes
isBuy:                 bool      1 byte
user:                  pubkey   32 bytes
timestamp:             i64       8 bytes
virtualSolReserves:    u64       8 bytes
virtualTokenReserves:  u64       8 bytes
realSolReserves:       u64       8 bytes
realTokenReserves:     u64       8 bytes

Critical: Events are in CPI inner instructions. Search for discriminators anywhere in instruction data, not just at offset 0.

Bonding Curve Account Layout

Offset 0:   discriminator          8 bytes
Offset 8:   virtualTokenReserves   u64
Offset 16:  virtualSolReserves     u64
Offset 24:  realTokenReserves      u64
Offset 32:  realSolReserves        u64
Offset 40:  tokenTotalSupply       u64
Offset 48:  complete               bool (1 byte)
Offset 49:  creator                pubkey (32 bytes)

PDA Derivation

PDASeeds
Bonding Curve["bonding-curve", mint]
Bonding Curve V2["bonding-curve-v2", mint]
Creator Vault["creator-vault", creator]

Instruction Discriminators

InstructionHexNotes
buy_exact_sol_in (V2)38fc74089edfcd5fCurrent production buy
sell (V2)33e685a4017f83adCurrent production sell
buy (V1/legacy)66063d1201daebeaLegacy, still seen occasionally
create181ec828051c0777Token creation

Buy Instruction Data (24 bytes)

[0..8]:   discriminator
[8..16]:  spendable_sol_in    u64 LE (total SOL budget, fees deducted internally)
[16..24]: min_tokens_out      u64 LE (slippage floor)

Sell Instruction Data (24 bytes)

[0..8]:   discriminator
[8..16]:  amount_tokens       u64 LE (tokens to sell, raw)
[16..24]: min_sol_output      u64 LE (minimum SOL out, lamports)

Price Impact & Sizing

def price_impact(v_sol: int, v_tok: int, sol_in: int) -> float:
    """Calculate price impact for a buy as a percentage."""
    spot = v_sol / v_tok
    tokens = buy_tokens(v_sol, v_tok, v_tok, sol_in)
    if tokens == 0:
        return float('inf')
    exec_price = sol_in / tokens
    return (exec_price / spot - 1) * 100

Best used for

When to use it

This Skill codifies PumpFun mechanics for precise on-chain analysis, strategy development, and instruction parsing. It implements the virtual constant-product (CPMM) bonding curve math used by PumpFun, including virtual vs real reserves, initial parameters (30 SOL virtual, ~1.

01 · PRE-MEETING

Prepare a decision brief

Turn scattered evidence into a structured case before an investment committee meeting.

02 · TEAM WORKFLOW

Standardize handoffs

Create consistent research outputs across analysts, portfolio managers, and agents.

03 · LIVE UPDATE

Refresh the thesis

Update scenarios after a new catalyst, KPI release, or earnings result.

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