{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "In the current, first-price auction-based paradigm, users are presented with three wallet defaults to specify their gas price bids (typically, \"slow\", \"medium\" or \"fast\"), while experienced users can set their own price with advanced settings.\n", "\n", "Since [EIP 1559 equilibrates to a market price](https://ethereum.github.io/abm1559/notebooks/stationary1559.html), we look into defaults that embody the price-taking behaviour of users under 1559. Their wallets presents them with a \"current transaction price\", and a simple **binary option**: transact or not.\n", "\n", "This default is likely sufficient for periods where the basefee is relatively stable, but fails to accurately represent user demand when that demand is shifting upwards, since [strategic users](https://ethereum.github.io/abm1559/notebooks/strategicUser.html) enter bidding wars to get ahead. In this case, a wallet could revert to the well-known UX presenting three price levels, with differentiated guarantees for inclusion and delay, which we'll call **expert mode**.\n", "\n", "Finding the correct price levels to offer as well as the criteria determining when the UI should switch from the \"price-taking\" UI to the \"shifting demand\" UI is discussed via simulations of various demand behaviours. We first import classes from our agent-based transaction market simulation." ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "import os, sys\n", "sys.path.insert(1, os.path.realpath(os.path.pardir))\n", "from typing import Sequence\n", "\n", "from abm1559.utils import constants\n", "\n", "# Target at most 100 transactions per block\n", "gamma = 250000\n", "constants[\"SIMPLE_TRANSACTION_GAS\"] = gamma\n", "\n", "from abm1559.txpool import TxPool\n", "\n", "from abm1559.users import User1559\n", "\n", "from abm1559.userpool import UserPool\n", "\n", "from abm1559.chain import (\n", " Chain,\n", " Block1559,\n", ")\n", "\n", "from abm1559.simulator import (\n", " spawn_poisson_heterogeneous_demand,\n", " update_basefee,\n", ")\n", "\n", "from abm1559.txs import Tx1559\n", "from abm1559.config import rng\n", "\n", "import pandas as pd\n", "import numpy as np\n", "import seaborn as sns\n", "from tqdm.notebook import tqdm\n", "import plotly.express as px\n", "import plotly.io as pio\n", "pd.options.plotting.backend = \"plotly\"\n", "pio.renderers.default = \"plotly_mimetype+notebook_connected\"" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Simulation components\n", "\n", "### Wallet oracle\n", "\n", "We introduce a new element sitting between the user and the market, a `WalletOracle` providing the user with the two UIs discussed above. The wallet features two major parameters:\n", "\n", "- A criterion deciding when to switch from the binary UI to the expert mode. The criterion takes the form of a parameterised expression:\n", "\n", "> Switch to the expert mode whenever the current basefee is $r$% above its moving average of the last $B$ blocks.\n", "\n", "- The price levels to suggest the user in expert mode. Although we settle on _three_ price levels, mimicking the current wallets UI, it may be possible to consider two or four or any other number we think reasonable. For each price level, the wallet suggests a different gas premium, following the rules:\n", "\n", "> - The max priority fee $g_i$ of price level $i$ is $c_i$ times the miner minimum fee $\\delta$, so $g_i = c_i \\cdot \\delta$ with $c_i < c_j, \\, \\forall i < j$.\n", "> - The max fee $m_i$ of price level $i$ is $c_i$ times the current basefee.\n", "\n", "In the simple setting, we'll first look at $c_1 = 1$ (slow users send the smallest acceptable priority fee), $c_2 = 2$ and $c_3 = 3$. Later on, we'll investigate more complex rules:\n", " \n", "> The gas premium $g_i$ of price level $i$ is a function of the recorded premiums in the $B$ last blocks, $g_i = f_i(B_{t-B}, \\dots, B_{t-1})$, with $g_i < g_j, \\, \\forall i < j$." ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "class WalletOracle:\n", " \n", " def __init__(self, sensitivity=0.05, ma_window=5):\n", " self.sensitivity = sensitivity\n", " self.ma_window = ma_window\n", " self.basefees = []\n", " self.ui_mode = \"posted\"\n", " self.expert_defaults = {\n", " key: { \"max_fee\": 0, \"gas_premium\": 0 } for key in [\"slow\", \"medium\", \"fast\"]\n", " }\n", " self.min_premium = 1 * (10 ** 9) # in wei\n", " \n", " def update_defaults(self, basefee):\n", " self.basefees = self.basefees[-(self.ma_window - 1):] + [basefee]\n", " ma_basefee = np.mean(self.basefees)\n", " \n", " if (1 + self.sensitivity) * ma_basefee >= basefee:\n", " # basefee broadly in line with or under its average value in the last blocks\n", " self.ui_mode = \"posted\"\n", " \n", " else:\n", " self.ui_mode = \"expert\"\n", " self.expert_defaults = {\n", " \"slow\": { \"max_fee\": 2*basefee, \"gas_premium\": self.min_premium },\n", " \"medium\": { \"max_fee\": 3*basefee, \"gas_premium\": 2*self.min_premium },\n", " \"fast\": { \"max_fee\": 4*basefee, \"gas_premium\": 3*self.min_premium },\n", " }\n", " \n", " def get_expert_defaults(self, max_fee):\n", " return {\n", " key: {\n", " \"max_fee\": min(max_fee, value[\"max_fee\"]),\n", " \"gas_premium\": value[\"gas_premium\"],\n", " } for key, value in self.expert_defaults.items()\n", " }\n", " \n", " def get_defaults(self, speed, max_fee):\n", " if self.ui_mode == \"posted\":\n", " return (self.ui_mode, {\n", " \"max_fee\": min([max_fee, max([1.5 * self.basefees[-1], self.basefees[-1] + self.min_premium])]),\n", " \"gas_premium\": self.min_premium\n", " })\n", " else:\n", " return (self.ui_mode, self.get_expert_defaults(max_fee)[speed])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### User behaviour with wallets" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We define a new `User` class who uses the wallet defined above to make their pricing decision. This user is an `AffineUser` which experiences a cost for waiting, drawn from some distribution. We assume that users know their quantile in this distribution. For instance, if we draw costs from a uniform distribution between 0 and 1 Gwei per gas unit, then a user with cost 0.85 knows they are in the top 15% of the most impatient users.\n", "\n", "Users who care a lot about fast inclusion tend to choose the fast default. We'll assume that since users know their quantile, they can also identify whether the slow, medium, or fast default is appropriate for them. Assuming the wallet suggests three price levels, we have two numbers $0 < q_1 < q_2 < 0$ such that:\n", "\n", "- Users below quantile $q_1$ choose the slow default.\n", "- Users between quantiles $q_1$ and $q_2$ choose the medium default.\n", "- Users above quantile $q_2$ choose the fast default.\n", "\n", "We'll leave these two numbers $q_1, q_2$ as parameters for the simulation, arbitrarily picking $q_1 = 0.4$ and $q_2 = 0.75$." ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "class UserWallet(User1559):\n", " \n", " def __init__(self, wakeup_block, **kwargs):\n", " super().__init__(wakeup_block, **kwargs)\n", " self.value = self.rng.uniform(low=0, high=20) * (10 ** 9)\n", " self.cost_per_unit = self.rng.uniform(low=0, high=1) * (10 ** 9)\n", " \n", " def expected_time(self, params):\n", " return 0\n", " \n", " def decide_parameters(self, env):\n", " wallet = env[\"wallet\"]\n", " \n", " if self.cost_per_unit <= env[\"cost_quantiles\"][0]:\n", " speed = \"slow\"\n", " elif self.cost_per_unit <= env[\"cost_quantiles\"][1]:\n", " speed = \"medium\"\n", " else:\n", " speed = \"fast\"\n", " \n", " defaults = wallet.get_defaults(speed, self.value)[1]\n", " \n", " return {\n", " **defaults,\n", " \"start_block\": self.wakeup_block,\n", " }" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Transaction pool\n", "\n", "We also define the following transaction pool behaviour:\n", "\n", "- The maximum number of pending transactions in the pool is limited to 500. With our setting of at most 100 transactions in the block (and a target of 50 transactions per block), the pool holds up to 5 full blocks worth of transactions.\n", "- Miners select the highest tip-paying transactions from the pool, where `tip = min(premium, fee_cap - basefee)`, as long as `tip >= MIN_PREMIUM`, with `MIN_PREMIUM` set to 1 Gwei.\n", "- Whenever too many transactions are added to the pool, the pool is resorted by `tip`, with the lowest tip-paying transactions excluded until the pool limit size is recovered." ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "MAX_TX_POOL = 500\n", "MIN_PREMIUM = 1e9\n", "\n", "class TxPoolLimit(TxPool):\n", " \n", " def __init__(self, max_txs=MAX_TX_POOL, min_premium=MIN_PREMIUM, **kwargs):\n", " super().__init__(**kwargs)\n", " self.max_txs = max_txs\n", " self.min_premium = MIN_PREMIUM\n", " \n", " def add_txs(self, txs: Sequence[Tx1559], env: dict) -> Sequence[Tx1559]:\n", " for tx in txs:\n", " self.txs[tx.tx_hash] = tx\n", " \n", " if self.pool_length() > self.max_txs:\n", " sorted_txs = sorted(self.txs.values(), key = lambda tx: -tx.tip(env))\n", " self.empty_pool()\n", " self.add_txs(sorted_txs[0:self.max_txs], env)\n", " return sorted_txs[self.max_txs:]\n", " \n", " return []\n", "\n", "class TxPool1559(TxPoolLimit):\n", " \n", " def select_transactions(self, env, user_pool=None, rng=rng) -> Sequence[Tx1559]:\n", " # Miner side\n", " max_tx_in_block = int(constants[\"MAX_GAS_EIP1559\"] / constants[\"SIMPLE_TRANSACTION_GAS\"])\n", "\n", " valid_txs = [tx for tx in self.txs.values() if tx.is_valid(env) and tx.tip(env) >= self.min_premium]\n", " rng.shuffle(valid_txs)\n", "\n", " sorted_valid_demand = sorted(\n", " valid_txs,\n", " key = lambda tx: -tx.tip(env)\n", " )\n", " selected_txs = sorted_valid_demand[0:max_tx_in_block]\n", "\n", " return selected_txs" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Running the simulation\n", "\n", "Open the code snippet below to see the simulation steps. Every round, we spawn a certain quantity of users, some of them are discouraged by the price level and balk, while others send their transactions in. The transaction pool receives the transactions and the miner includes the highest tip-paying transactions first, breaking ties arbitrarily." ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [], "source": [ "def simulate(demand_scenario, shares_scenario, rng=np.random.default_rng(1)):\n", " # Instantiate a couple of things\n", " txpool = TxPool1559()\n", " basefee = constants[\"INITIAL_BASEFEE\"]\n", " chain = Chain()\n", " metrics = []\n", " user_pool = UserPool()\n", " wallet = WalletOracle()\n", "\n", " for t in tqdm(range(len(demand_scenario)), desc=\"simulation loop\", leave=False):\n", " \n", " # Update oracle\n", " wallet.update_defaults(basefee)\n", " \n", " # We return some demand which on expectation yields demand_scenario[t] new users per round\n", " users = spawn_poisson_heterogeneous_demand(t, demand_scenario[t], shares_scenario[t], rng=rng)\n", " cost_quantiles = np.quantile([u.cost_per_unit for u in users], q = [0.4, 0.75])\n", " \n", " # `params` are the \"environment\" of the simulation\n", " env = {\n", " \"basefee\": basefee,\n", " \"current_block\": t,\n", " \"wallet\": wallet,\n", " \"cost_quantiles\": cost_quantiles,\n", " }\n", " \n", " # Add users to the pool and check who wants to transact\n", " # We query each new user with the current basefee value\n", " # Users either return a transaction or None if they prefer to balk\n", " decided_txs = user_pool.decide_transactions(users, env)\n", "\n", " # New transactions are added to the transaction pool\n", " txpool.add_txs(decided_txs, env)\n", "\n", " # The best valid transactions are taken out of the pool for inclusion\n", " selected_txs = txpool.select_transactions(env)\n", " txpool.remove_txs([tx.tx_hash for tx in selected_txs])\n", "\n", " # We create a block with these transactions\n", " block = Block1559(txs = selected_txs, parent_hash = chain.current_head, height = t, basefee = basefee)\n", " \n", " # The block is added to the chain\n", " chain.add_block(block)\n", "\n", " row_metrics = {\n", " \"block\": t,\n", " \"basefee\": basefee / (10 ** 9),\n", " \"ui_mode\": wallet.ui_mode,\n", " \"users\": len(users),\n", " \"decided_txs\": len(decided_txs),\n", " \"included_txs\": len(selected_txs),\n", " \"blk_min_premium\": block.min_premium() / (10 ** 9), # to Gwei\n", " \"blk_avg_gas_price\": block.average_gas_price(),\n", " \"blk_avg_tip\": block.average_tip(),\n", " \"pool_length\": txpool.pool_length(),\n", " }\n", " metrics.append(row_metrics)\n", "\n", " # Finally, basefee is updated and a new round starts\n", " basefee = update_basefee(block, basefee)\n", "\n", " return (pd.DataFrame(metrics), user_pool, chain)" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "", "version_major": 2, "version_minor": 0 }, "text/plain": [ "simulation loop: 0%| | 0/100 [00:00\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
blockbasefeeui_modeusersdecided_txsincluded_txsblk_min_premiumblk_avg_gas_priceblk_avg_tippool_length
001.000000posted2502311001.02.0000001.000000131
111.125000expert2512081002.03.6150002.490000239
221.265625expert2572061002.03.7256252.460000345
331.423828expert2462001002.03.9138282.490000400
441.601807expert2281911002.04.0418072.440000400
551.802032expert2492101002.04.3220322.520000400
662.027287expert2632151002.04.4972872.470000400
772.280697expert2521891002.04.7306972.450000400
882.565785expert2562031002.05.0357852.470000400
992.886508expert2361791002.05.2865082.400000400
10103.247321expert2341661002.05.6473212.400000400
11113.653236expert2581941002.06.0532362.400000400
12124.109891expert2371661002.06.4898912.380000400
13134.623627expert2291581002.06.9636272.340000400
14145.201580expert2311441002.07.5815802.380000400
15155.851778expert2541511002.08.1617782.310000400
16166.583250expert2501441002.08.8932502.310000400
17177.406156expert2661421001.09.6528672.246710400
18188.331926expert2561271001.010.4119262.080000400
19199.373417expert2461061001.011.2134171.840000400
202010.545094expert255951001.012.2750941.730000395
212111.863231expert232771001.013.4432311.580000372
222213.346134expert241711001.014.9061341.560000343
232315.014401expert24745611.016.4078441.393443327
242415.427297expert25142421.017.0939641.666667327
252515.118751expert24043431.017.0024721.883721327
262614.854173posted24246461.015.8541731.000000327
272714.705631posted27366691.015.7056311.000000324
282815.404149posted23342421.016.4041491.000000324
292915.096066posted24856561.016.0960661.000000324
303015.322507posted26243431.016.3225071.000000324
\n", "" ], "text/plain": [ " block basefee ui_mode users decided_txs included_txs \\\n", "0 0 1.000000 posted 250 231 100 \n", "1 1 1.125000 expert 251 208 100 \n", "2 2 1.265625 expert 257 206 100 \n", "3 3 1.423828 expert 246 200 100 \n", "4 4 1.601807 expert 228 191 100 \n", "5 5 1.802032 expert 249 210 100 \n", "6 6 2.027287 expert 263 215 100 \n", "7 7 2.280697 expert 252 189 100 \n", "8 8 2.565785 expert 256 203 100 \n", "9 9 2.886508 expert 236 179 100 \n", "10 10 3.247321 expert 234 166 100 \n", "11 11 3.653236 expert 258 194 100 \n", "12 12 4.109891 expert 237 166 100 \n", "13 13 4.623627 expert 229 158 100 \n", "14 14 5.201580 expert 231 144 100 \n", "15 15 5.851778 expert 254 151 100 \n", "16 16 6.583250 expert 250 144 100 \n", "17 17 7.406156 expert 266 142 100 \n", "18 18 8.331926 expert 256 127 100 \n", "19 19 9.373417 expert 246 106 100 \n", "20 20 10.545094 expert 255 95 100 \n", "21 21 11.863231 expert 232 77 100 \n", "22 22 13.346134 expert 241 71 100 \n", "23 23 15.014401 expert 247 45 61 \n", "24 24 15.427297 expert 251 42 42 \n", "25 25 15.118751 expert 240 43 43 \n", "26 26 14.854173 posted 242 46 46 \n", "27 27 14.705631 posted 273 66 69 \n", "28 28 15.404149 posted 233 42 42 \n", "29 29 15.096066 posted 248 56 56 \n", "30 30 15.322507 posted 262 43 43 \n", "\n", " blk_min_premium blk_avg_gas_price blk_avg_tip pool_length \n", "0 1.0 2.000000 1.000000 131 \n", "1 2.0 3.615000 2.490000 239 \n", "2 2.0 3.725625 2.460000 345 \n", "3 2.0 3.913828 2.490000 400 \n", "4 2.0 4.041807 2.440000 400 \n", "5 2.0 4.322032 2.520000 400 \n", "6 2.0 4.497287 2.470000 400 \n", "7 2.0 4.730697 2.450000 400 \n", "8 2.0 5.035785 2.470000 400 \n", "9 2.0 5.286508 2.400000 400 \n", "10 2.0 5.647321 2.400000 400 \n", "11 2.0 6.053236 2.400000 400 \n", "12 2.0 6.489891 2.380000 400 \n", "13 2.0 6.963627 2.340000 400 \n", "14 2.0 7.581580 2.380000 400 \n", "15 2.0 8.161778 2.310000 400 \n", "16 2.0 8.893250 2.310000 400 \n", "17 1.0 9.652867 2.246710 400 \n", "18 1.0 10.411926 2.080000 400 \n", "19 1.0 11.213417 1.840000 400 \n", "20 1.0 12.275094 1.730000 395 \n", "21 1.0 13.443231 1.580000 372 \n", "22 1.0 14.906134 1.560000 343 \n", "23 1.0 16.407844 1.393443 327 \n", "24 1.0 17.093964 1.666667 327 \n", "25 1.0 17.002472 1.883721 327 \n", "26 1.0 15.854173 1.000000 327 \n", "27 1.0 15.705631 1.000000 324 \n", "28 1.0 16.404149 1.000000 324 \n", "29 1.0 16.096066 1.000000 324 \n", "30 1.0 16.322507 1.000000 324 " ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df[(df.block <= 30)]" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "data": { "text/html": [ " \n", " " ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.plotly.v1+json": { "config": { "plotlyServerURL": "https://plot.ly" }, "data": [ { "hovertemplate": "variable=basefee
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"title": { "text": "Basefee and average tip per block" }, "xaxis": { "anchor": "y", "autorange": true, "domain": [ 0, 1 ], "range": [ 0, 99 ], "title": { "text": "Block" }, "type": "linear" }, "yaxis": { "anchor": "x", "autorange": true, "domain": [ 0, 1 ], "range": [ 0.19023955283333327, 16.385448496166667 ], "title": { "text": "Value (Gwei)" }, "type": "linear" } } }, "image/png": 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig = df.plot(\"block\", [\"basefee\", \"blk_avg_tip\"])\n", "fig.update_layout(\n", " title = \"Basefee and average tip per block\",\n", " xaxis_title = \"Block\",\n", " yaxis_title = \"Value (Gwei)\"\n", ")\n", "fig" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The plot shows clearly that users are bidding above the minimum miner fee (1 Gwei) at the beginning, while basefee catches up to the congestion level." ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [], "source": [ "# Obtain the pool of users (all users spawned by the simulation)\n", "user_pool_df = user_pool.export().rename(columns={ \"pub_key\": \"sender\" })\n", "\n", "# Export the trace of the chain, all transactions included in blocks\n", "chain_df = chain.export()\n", "\n", "# Join the two to associate transactions with their senders\n", "user_txs_df = chain_df.join(user_pool_df.set_index(\"sender\"), on=\"sender\")" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [], "source": [ "bins = 10\n", "user_txs_df[\"user_sw\"] = user_txs_df.apply(\n", " lambda row: row.value - (row.block_height - row.start_block) * row.cost_per_unit - (row.basefee + row.tip / (10 ** 9)),\n", " axis=1\n", ")\n", "user_txs_df[\"value_bin\"] = pd.cut(user_txs_df[\"value\"], bins=np.linspace(0, 20, bins+1))\n", "user_txs_df[\"cost_bin\"] = pd.cut(user_txs_df[\"cost_per_unit\"], bins=np.linspace(0, 1, bins+1))\n", "user_txs_df[\"user_impatience\"] = user_txs_df.cost_per_unit.apply(\n", " lambda c: \"slow\" if c < 0.4 else \"medium\" if c < 0.75 else \"fast\"\n", ")\n", "grouped = user_txs_df.groupby([\"block_height\", \"value_bin\", \"cost_bin\"]).mean().reset_index()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Plots\n", "\n", "We call _utility_ a measure of user satisfaction. Users have a value for their transaction (in Gwei per gas unit) and a cost for waiting (in Gwei per gas unit per block waited for). When a user with value $v$ and cost for waiting $c$ waits for $t$ blocks and pays $f$, their utility is given by $v - ct - f$.\n", "\n", "In the plot below, we show the utility obtained by users with various value/cost per unit combinations at block 2, with the utility depicted by the colour of the tile: the more dark red, the higher the utility. Higher value users have higher utility, since they are getting a good deal for inclusion! Basefee is low so the total fee is low too, and they don't have to wait for long.\n", "\n", "But note that users with cost for waiting lower than 0.4 are totally absent from the plot. These users choose the \"slow\" option, and so are outbid by more impatient users picking the \"medium\" and \"fast\" options." ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "data": { "application/vnd.plotly.v1+json": { "config": { "plotlyServerURL": "https://plot.ly" }, "data": [ { "coloraxis": "coloraxis", "hovertemplate": "cost_bin: %{x}
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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "gp = grouped[grouped.block_height == 2].copy()\n", "gp['cost_bin'] = gp['cost_bin'].astype('str')\n", "gp['value_bin'] = gp['value_bin'].astype('str')\n", "gp = gp.pivot(\"value_bin\", \"cost_bin\", \"user_sw\").reindex(\n", " np.flip([str(pd.Interval(x, x+2, closed=\"right\")) for x in np.linspace(0, 18, bins)])\n", ")\n", "fig = px.imshow(gp)\n", "fig.update_layout(\n", " title = \"Utility received by users included at block 2\",\n", " xaxis_title = \"Cost per block waited (Gwei per gas unit)\",\n", " yaxis_title = \"Value (Gwei per gas unit)\"\n", ")\n", "fig" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Over time, low value users become priced out. Observe too that between block 1 and 14, users with low cost per unit of time are also priced out: given the high congestion, users with high cost per unit of time who use the \"fast\" wallet default are included in priority.\n", "\n", "After block 14, once basefee is high enough, all higher value users, regardless of their cost per time unit, have a chance at inclusion. It doesn't matter if they are impatient or not. Since basefee prices out everyone except for a demand equal to the block target size, as long as your value is high enough, you'll be included in the next block." ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 13, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "def draw_heatmap(*args, **kwargs):\n", " data = kwargs.pop('data')\n", " d = data.pivot(index=args[1], columns=args[0], values=args[2])\n", " ax = sns.heatmap(d, **kwargs, vmin=0, vmax=20, cmap=\"plasma\", center=5, cbar=False)\n", " ax.invert_yaxis()\n", "\n", "grid_size = 6\n", "fg = sns.FacetGrid(grouped[grouped.block_height < grid_size ** 2], col='block_height', col_wrap = grid_size)\n", "fg.map_dataframe(draw_heatmap, 'cost_bin', 'value_bin', 'user_sw')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Here is another way to look at it. Each round, we are spawning:\n", "\n", "- 40% of very patient users, who choose the \"slow\" option in expert mode\n", "- 35% of medium patient users, who choose the \"medium\" option in expert mode\n", "- 25% of impatient users, who choose the \"fast\" option in expert mode\n", "\n", "If these users all had as much chances of being included, we'd expect to see them in roughly the proportions described above in each block. Yet as the next plot shows us this is not the case at the very beginning." ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [ { "data": { "application/vnd.plotly.v1+json": { "config": { "plotlyServerURL": "https://plot.ly" }, "data": [ { "hovertemplate": "user_impatience=fast
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", "text/html": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import matplotlib.pyplot as plt\n", "counts_df = user_txs_df[[\"block_height\", \"user_impatience\", \"basefee\"]].groupby(\n", " [\"block_height\", \"user_impatience\"]\n", ").count().unstack().fillna(0)\n", "counts_df[\"total\"] = sum([counts_df.iloc[:,i] for i in range(3)])\n", "for i in range(3):\n", " counts_df.iloc[:,i] = counts_df.iloc[:,i] / counts_df[\"total\"] * 100\n", "expected_percent = [25, 35, 40]\n", "for i in range(3):\n", " counts_df.iloc[:,i] = counts_df.iloc[:,i] - expected_percent[i]\n", "pl = counts_df.iloc[:,0:3].rolling(window=4).mean()\n", "pl.columns = pl.columns.droplevel(0)\n", "\n", "fig = px.line(pl)\n", "fig.update_layout(\n", " title = \"Inclusion difference relative to expectation\",\n", " xaxis_title = \"Block\",\n", " yaxis_title = \"Inclusion difference\"\n", ")\n", "fig" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We smooth the plot slightly for readability.\n", "\n", "At the start, fast users dominate, unsurprisingly. As basefee rises and more and more users are priced out (including some fast users who have a low value for their transaction, although they are very impatient), there is room for medium patient users to be included. This keeps going until basefee reaches around its equilibrium point and all users are included in their expected proportions." ] }, { "cell_type": "raw", "metadata": {}, "source": [ "Wallet defaults for EIP 1559" ] }, { "cell_type": "raw", "metadata": {}, "source": [] }, { "cell_type": "raw", "metadata": {}, "source": [ "// References + footnotes\n", "\n", "// Authors\n", "let authorData = [\"barnabe\"];" ] }, { "cell_type": "raw", "metadata": {}, "source": [] } ], "metadata": { "desc": "Simulations towards finding good wallet defaults in 1559", "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.9.5" }, "path": "notebooks/walletDefaults.html", "repo": "abm1559", "title": "Wallet defaults" }, "nbformat": 4, "nbformat_minor": 4 }