DataStore/meteora-dlmm-historical-data

Meteora DLMM Historical Data

Decoded Solana mainnet instructions and events from Meteora DLMM (Dynamic Liquidity Market Maker), a concentrated-liquidity DEX where liquidity sits in discrete price bins and the fee rate rises with volatility.

74 tables, 59,575 rows, one row per decoded instruction or event. Program ID LBUZKhRxPF3XUpBCjp4YzTKgLccjZhTSDM9YuVaPwxo.

This is a free sample from datastore.sh, which publishes the complete history as versioned Parquet.

Read this before you analyse it

The sample is capped per table, not per time window. 56 of the 74 tables stop at exactly 1,000 rows. The cap binds hardest on the busiest instructions, so each table covers however long it took to accumulate 1,000 rows — swap_event spans 17 seconds of blocks (2026-06-10 09:38:33 to 09:38:50), while rare instructions like close_bin_array (11 rows) or initialize_preset_parameter (4 rows) are complete over months. Row counts across tables are therefore not comparable as activity measures, and nothing here supports volume trends or backtests. Use it to learn the schema and build a parser.

Swaps appear in two places. The swap* tables are decoded instructions; swap_event is the self-CPI event the program logs. They are different row sets — don't union them. There are also versioned variants (swap / swap2, swap_exact_out / swap_exact_out2), which are separate on-chain instructions, not duplicates.

One transaction can log several swap events. In swap_event, 1,000 rows come from 943 transactions: 891 logged one event, 47 logged two, 5 logged three. Group by sig before summing amounts or you will double-count routed trades.

Amounts are raw base units. Divide by 10^decimals of the mint (9 for SOL, 6 for USDC). No field is decimal-adjusted.

fee_bps is scaled, not literal basis points. Values start at 100,000 and run up through 152,018 in this sample — treat it as a fixed-point field and calibrate against fee / amount_in before quoting a percentage.

What the sample actually contains

From swap_event (1,000 rows, 114 distinct lb_pair pools):

• Direction is lopsided: 752 swaps are X→Y, 248 are Y→X.
• Most swaps barely move price: 36.2% cross zero bins (start_bin_id == end_bin_id), the mean is 0.85 bins and the maximum is 6. Concentrated liquidity is doing its job at this size.
• Fees: every row charges a fee, 98.1% also pay a protocol_fee, but only 12.0% carry a host_fee — integrator referral fees are the exception, not the rule.

Columns shared by every table

Column	Meaning
ts	Block time, UTC
slot	Solana slot
tx_index	Position of the transaction in the block
ix_path	Instruction position; more than one index means an inner (CPI) instruction
sig	Transaction signature, base58 — the join key across tables
remaining	Remaining accounts, JSON, pubkeys as byte arrays (convert to base58 to match explorers)

Order events within a transaction by slot, tx_index, then ix_path.

Loading

from datasets import load_dataset

ds = load_dataset("DataStore/meteora-dlmm-historical-data", "meteora_dlmm_swap_event")

Each table is a separate config named after its file. With pandas:

import pandas as pd

url = "https://huggingface.co/datasets/DataStore/meteora-dlmm-historical-data/resolve/main/meteora_dlmm_swap_event.csv"
df = pd.read_csv(url)

Worth trying

Measure realised fee rate per pool as fee / amount_in and check how it tracks bins crossed — the dynamic fee should rise with volatility. Compare liquidity added through add_liquidity_by_strategy against add_liquidity_by_weight to see which shaping LPs prefer. Join place_limit_order to cancel_limit_order on lb_pair to see how much resting DLMM liquidity is ever filled.

Tables

Table	Rows	Columns
meteora_dlmm_add_liquidity2	1,000	23
meteora_dlmm_add_liquidity_by_strategy	1,000	24
meteora_dlmm_add_liquidity_by_strategy2	1,000	23
meteora_dlmm_add_liquidity_by_strategy_one_side	1,000	24
meteora_dlmm_add_liquidity_by_weight	1,000	29
meteora_dlmm_add_liquidity_by_weight2	1,000	25
meteora_dlmm_add_liquidity_event	1,000	11
meteora_dlmm_add_liquidity_one_side	1,000	24
meteora_dlmm_add_liquidity_one_side_precise2	1,000	22
meteora_dlmm_cancel_limit_order	1,000	26
meteora_dlmm_claim_fee	1,000	21
meteora_dlmm_claim_fee2	1,000	24
meteora_dlmm_claim_fee2_event	1,000	12
meteora_dlmm_claim_fee_event	1,000	11
meteora_dlmm_claim_reward	1,000	19
meteora_dlmm_claim_reward2	1,000	21
meteora_dlmm_claim_reward2_event	1,000	12
meteora_dlmm_claim_reward_event	1,000	11
meteora_dlmm_close_limit_order_if_empty	1,000	14
meteora_dlmm_close_position	1,000	15
meteora_dlmm_close_position2	1,000	12
meteora_dlmm_close_position_if_empty	1,000	12
meteora_dlmm_composition_fee_event	1,000	12
meteora_dlmm_cpi_event	1,000	12
meteora_dlmm_decrease_position_length	1,000	15
meteora_dlmm_decrease_position_length_event	1,000	11
meteora_dlmm_go_to_a_bin	1,000	14
meteora_dlmm_go_to_a_bin_event	1,000	9
meteora_dlmm_increase_position_length	1,000	16
meteora_dlmm_increase_position_length2	1,000	15
meteora_dlmm_increase_position_length_event	1,000	11
meteora_dlmm_initialize_bin_array	1,000	12
meteora_dlmm_initialize_bin_array_bitmap_extension	1,000	12
meteora_dlmm_initialize_lb_pair2	1,000	26
meteora_dlmm_initialize_position	1,000	17
meteora_dlmm_initialize_position2	1,000	16
meteora_dlmm_initialize_position_pda	1,000	18
meteora_dlmm_lb_pair_create_event	1,000	10
meteora_dlmm_place_limit_order	1,000	24
meteora_dlmm_position_close_event	1,000	8
meteora_dlmm_position_create_event	1,000	9
meteora_dlmm_rebalance_liquidity	1,000	38
meteora_dlmm_rebalancing_event	1,000	21
meteora_dlmm_remove_liquidity	1,000	24
meteora_dlmm_remove_liquidity2	1,000	24
meteora_dlmm_remove_liquidity_by_range2	1,000	26
meteora_dlmm_remove_liquidity_event	1,000	11
meteora_dlmm_swap	1,000	24
meteora_dlmm_swap2	1,000	26
meteora_dlmm_swap_event	1,000	17
meteora_dlmm_swap_exact_out	1,000	24
meteora_dlmm_swap_exact_out2	1,000	26
meteora_dlmm_swap_with_price_impact2	1,000	27
meteora_dlmm_update_fees_and_rewards	1,000	12
meteora_dlmm_withdraw_protocol_fee	1,000	21
meteora_dlmm_zap_protocol_fee	1,000	17
meteora_dlmm_initialize_token_badge	956	13
meteora_dlmm_remove_liquidity_by_range	955	26
meteora_dlmm_initialize_customizable_permissionless_lb_pair2	666	25
meteora_dlmm_add_liquidity	309	24
meteora_dlmm_initialize_customizable_permissionless_lb_pair	246	22
meteora_dlmm_initialize_position_by_operator	194	22
meteora_dlmm_set_permissionless_operation_bits	108	14
meteora_dlmm_remove_all_liquidity	58	23
meteora_dlmm_update_position_operator	20	12
meteora_dlmm_update_position_operator_event	20	9
meteora_dlmm_close_bin_array	11	13
meteora_dlmm_set_pair_status_permissionless	11	10
meteora_dlmm_swap_with_price_impact	7	25
meteora_dlmm_increase_observation_event	4	8
meteora_dlmm_increase_oracle_length	4	13
meteora_dlmm_initialize_preset_parameter	4	24
meteora_dlmm_add_liquidity_one_side_precise	1	22
meteora_dlmm_close_token_badge	1	11

License & citation

CC BY-SA 4.0 — share and adapt, including commercially, with attribution and alike licensing.

datastore.sh (2026). Meteora DLMM Historical Data (Sample). https://datastore.sh/datasets/meteora-dlmm