From 8f8b7c737679b30af9691b23005520eaa7f9a368 Mon Sep 17 00:00:00 2001 From: jepidoptera Date: Thu, 13 Jul 2023 14:17:01 -0500 Subject: [PATCH] deleted some useless lines --- .../notebooks/Omnipool/LP_fees_analysis.ipynb | 126 +++++++++++++----- 1 file changed, 91 insertions(+), 35 deletions(-) diff --git a/hydradx/notebooks/Omnipool/LP_fees_analysis.ipynb b/hydradx/notebooks/Omnipool/LP_fees_analysis.ipynb index 89a3180f..94192b08 100644 --- a/hydradx/notebooks/Omnipool/LP_fees_analysis.ipynb +++ b/hydradx/notebooks/Omnipool/LP_fees_analysis.ipynb @@ -27,7 +27,7 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 7, "id": "deb2bd1c-f250-40ea-a5da-1c0e8d54ab7d", "metadata": { "ExecuteTime": { @@ -53,13 +53,12 @@ "\n", "# same seed, same parameters = same simulation result\n", "random.seed(42)\n", - "price_list = processing.import_binance_prices(['BTC', 'ETH', 'DOT'], start_date='Jan 1 2023', days = 30)\n", "\n", "assets = {\n", " 'HDX': {'usd price': 0.05, 'weight': 0.05},\n", " 'USD': {'usd price': 1, 'weight': 0.20},\n", - " 'BTC': {'usd price': price_list[0]['BTC'], 'weight': 0.10},\n", - " 'ETH': {'usd price': price_list[0]['ETH'], 'weight': 0.50},\n", + " 'BTC': {'usd price': 16541.77, 'weight': 0.10},\n", + " 'ETH': {'usd price': 1196.13, 'weight': 0.50},\n", " 'DOT': {'usd price': 1, 'weight': 0.17},\n", " 'TKN': {'usd price': 1, 'weight': 0.03}\n", "}\n", @@ -94,23 +93,15 @@ " holdings={'TKN': 10000},\n", " trade_strategy=invest_all('omnipool')\n", " ),\n", - " # 'LP2': Agent(\n", - " # holdings={'DOT': 10000},\n", - " # trade_strategy=invest_all('omnipool')\n", - " # )\n", " },\n", " external_market={tkn: assets[tkn]['usd price'] for tkn in assets},\n", " archive_all=False\n", - ")\n", - "\n", - "# copy DOT prices for TKN\n", - "# for j, step in enumerate(price_list): \n", - "# step['TKN'] = step['DOT'] / price_list[0]['DOT']" + ")" ] }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 2, "id": "b3f08712-922b-465f-b04b-5f3057a78ab5", "metadata": { "ExecuteTime": { @@ -125,21 +116,21 @@ "output_type": "stream", "text": [ "Trade volume per day as a fraction of TVL: {'HDX': 0.0, 'USD': 0.0, 'BTC': 0.0, 'ETH': 0.0, 'DOT': 0.0, 'TKN': 0.0}\n", - "Starting simulation...\n" - ] - }, - { - "ename": "KeyError", - "evalue": "'LRNA'", - "output_type": "error", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mKeyError\u001b[0m Traceback (most recent call last)", - "Input \u001b[1;32mIn [3]\u001b[0m, in \u001b[0;36m\u001b[1;34m()\u001b[0m\n\u001b[0;32m 8\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m i \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mrange\u001b[39m(\u001b[38;5;241m6\u001b[39m):\n\u001b[0;32m 9\u001b[0m initial_state\u001b[38;5;241m.\u001b[39magents[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mTrader\u001b[39m\u001b[38;5;124m'\u001b[39m]\u001b[38;5;241m.\u001b[39mtrade_strategy\u001b[38;5;241m=\u001b[39mback_and_forth(\n\u001b[0;32m 10\u001b[0m pool_id\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124momnipool\u001b[39m\u001b[38;5;124m'\u001b[39m,\n\u001b[0;32m 11\u001b[0m percentage\u001b[38;5;241m=\u001b[39mi \u001b[38;5;241m/\u001b[39m \u001b[38;5;241m360000\u001b[39m \u001b[38;5;241m/\u001b[39m (\u001b[38;5;241m1\u001b[39m \u001b[38;5;241m-\u001b[39m asset_fee \u001b[38;5;241m-\u001b[39m lrna_fee)\n\u001b[0;32m 12\u001b[0m ) \u001b[38;5;28;01mif\u001b[39;00m i \u001b[38;5;241m>\u001b[39m \u001b[38;5;241m0\u001b[39m \u001b[38;5;28;01melse\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[1;32m---> 13\u001b[0m events \u001b[38;5;241m=\u001b[39m \u001b[43mrun\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrun\u001b[49m\u001b[43m(\u001b[49m\u001b[43minitial_state\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mtime_steps\u001b[49m\u001b[43m)\u001b[49m \u001b[38;5;28;01mif\u001b[39;00m i \u001b[38;5;241m>\u001b[39m \u001b[38;5;241m0\u001b[39m \u001b[38;5;28;01melse\u001b[39;00m [initial_state\u001b[38;5;241m.\u001b[39marchive()] \u001b[38;5;241m*\u001b[39m time_steps\n\u001b[0;32m 15\u001b[0m trade_volume\u001b[38;5;241m.\u001b[39mappend({tkn: (\u001b[38;5;28msum\u001b[39m([event\u001b[38;5;241m.\u001b[39mpools[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124momnipool\u001b[39m\u001b[38;5;124m'\u001b[39m]\u001b[38;5;241m.\u001b[39mvolume_out[tkn] \n\u001b[0;32m 16\u001b[0m \u001b[38;5;241m/\u001b[39m event\u001b[38;5;241m.\u001b[39mpools[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124momnipool\u001b[39m\u001b[38;5;124m'\u001b[39m]\u001b[38;5;241m.\u001b[39mliquidity[tkn] \u001b[38;5;28;01mfor\u001b[39;00m event \u001b[38;5;129;01min\u001b[39;00m events])\n\u001b[0;32m 17\u001b[0m \u001b[38;5;241m/\u001b[39m time_steps \u001b[38;5;241m*\u001b[39m \u001b[38;5;241m7200\u001b[39m) \u001b[38;5;28;01mfor\u001b[39;00m tkn \u001b[38;5;129;01min\u001b[39;00m assets}\n\u001b[0;32m 18\u001b[0m )\n\u001b[0;32m 19\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mTrade volume per day as a fraction of TVL:\u001b[39m\u001b[38;5;124m'\u001b[39m, trade_volume[i])\n", - "File \u001b[1;32m~\\PycharmProjects\\HydraDX-simulations\\hydradx\\notebooks\\Omnipool\\../..\\model\\run.py:28\u001b[0m, in \u001b[0;36mrun\u001b[1;34m(initial_state, time_steps, silent)\u001b[0m\n\u001b[0;32m 26\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m agent_id, agent \u001b[38;5;129;01min\u001b[39;00m agents\u001b[38;5;241m.\u001b[39mitems():\n\u001b[0;32m 27\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m agent\u001b[38;5;241m.\u001b[39mtrade_strategy:\n\u001b[1;32m---> 28\u001b[0m new_global_state \u001b[38;5;241m=\u001b[39m \u001b[43magent\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mtrade_strategy\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mexecute\u001b[49m\u001b[43m(\u001b[49m\u001b[43mnew_global_state\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43magent\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43munique_id\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 30\u001b[0m events\u001b[38;5;241m.\u001b[39mappend(new_global_state\u001b[38;5;241m.\u001b[39marchive())\n\u001b[0;32m 32\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m silent:\n", - "File \u001b[1;32m~\\PycharmProjects\\HydraDX-simulations\\hydradx\\notebooks\\Omnipool\\../..\\model\\amm\\trade_strategies.py:28\u001b[0m, in \u001b[0;36mTradeStrategy.execute\u001b[1;34m(self, state, agent_id)\u001b[0m\n\u001b[0;32m 26\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mrun_once:\n\u001b[0;32m 27\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mdone \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mTrue\u001b[39;00m\n\u001b[1;32m---> 28\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfunction\u001b[49m\u001b[43m(\u001b[49m\u001b[43mstate\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43magent_id\u001b[49m\u001b[43m)\u001b[49m\n", - "File \u001b[1;32m~\\PycharmProjects\\HydraDX-simulations\\hydradx\\notebooks\\Omnipool\\../..\\model\\amm\\trade_strategies.py:135\u001b[0m, in \u001b[0;36mback_and_forth..strategy\u001b[1;34m(state, agent_id)\u001b[0m\n\u001b[0;32m 132\u001b[0m assets \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mlist\u001b[39m(\u001b[38;5;28mdict\u001b[39m\u001b[38;5;241m.\u001b[39mfromkeys(agent\u001b[38;5;241m.\u001b[39masset_list \u001b[38;5;241m+\u001b[39m omnipool\u001b[38;5;241m.\u001b[39masset_list))\n\u001b[0;32m 133\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m asset \u001b[38;5;129;01min\u001b[39;00m assets:\n\u001b[0;32m 134\u001b[0m \u001b[38;5;66;03m# asset = agent.asset_list[i]\u001b[39;00m\n\u001b[1;32m--> 135\u001b[0m dr \u001b[38;5;241m=\u001b[39m percentage \u001b[38;5;241m/\u001b[39m \u001b[38;5;241m2\u001b[39m \u001b[38;5;241m*\u001b[39m \u001b[43momnipool\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mliquidity\u001b[49m\u001b[43m[\u001b[49m\u001b[43masset\u001b[49m\u001b[43m]\u001b[49m\n\u001b[0;32m 136\u001b[0m lrna_init \u001b[38;5;241m=\u001b[39m state\u001b[38;5;241m.\u001b[39magents[agent_id]\u001b[38;5;241m.\u001b[39mholdings[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mLRNA\u001b[39m\u001b[38;5;124m'\u001b[39m]\n\u001b[0;32m 137\u001b[0m oamm\u001b[38;5;241m.\u001b[39mexecute_swap(omnipool, agent, tkn_sell\u001b[38;5;241m=\u001b[39masset, tkn_buy\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mLRNA\u001b[39m\u001b[38;5;124m'\u001b[39m, sell_quantity\u001b[38;5;241m=\u001b[39mdr, modify_imbalance\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mFalse\u001b[39;00m)\n", - "\u001b[1;31mKeyError\u001b[0m: 'LRNA'" + "Starting simulation...\n", + "Execution time: 80.807 seconds.\n", + "Trade volume per day as a fraction of TVL: {'HDX': 0.010000012495840132, 'USD': 0.010000012502803262, 'BTC': 0.010000012502803355, 'ETH': 0.010000012502802722, 'DOT': 0.010000012502803362, 'TKN': 0.010000011029834038}\n", + "Starting simulation...\n", + "Execution time: 79.858 seconds.\n", + "Trade volume per day as a fraction of TVL: {'HDX': 0.020000024908135065, 'USD': 0.02000002493598734, 'BTC': 0.02000002493598931, 'ETH': 0.020000024935987574, 'DOT': 0.020000024935989045, 'TKN': 0.020000021990042104}\n", + "Starting simulation...\n", + "Execution time: 79.535 seconds.\n", + "Trade volume per day as a fraction of TVL: {'HDX': 0.03000003723686493, 'USD': 0.030000037299553438, 'BTC': 0.030000037299554354, 'ETH': 0.03000003729955458, 'DOT': 0.030000037299555186, 'TKN': 0.030000032880643755}\n", + "Starting simulation...\n", + "Execution time: 83.079 seconds.\n", + "Trade volume per day as a fraction of TVL: {'HDX': 0.040000049482053796, 'USD': 0.040000049593503596, 'BTC': 0.040000049593505595, 'ETH': 0.0400000495935045, 'DOT': 0.040000049593502444, 'TKN': 0.04000004370160887}\n", + "Starting simulation...\n", + "Execution time: 80.962 seconds.\n", + "Trade volume per day as a fraction of TVL: {'HDX': 0.05000006164370618, 'USD': 0.05000006181782769, 'BTC': 0.050000061817830586, 'ETH': 0.05000006181783127, 'DOT': 0.05000006181782925, 'TKN': 0.05000005445297287}\n" ] } ], @@ -150,7 +141,6 @@ "semi_final_state = []\n", "final_state = []\n", "graph_step = 200\n", - "# initial_state._evolve_function = historical_prices(price_list)\n", "for i in range(6):\n", " initial_state.agents['Trader'].trade_strategy=back_and_forth(\n", " pool_id='omnipool',\n", @@ -172,7 +162,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 3, "id": "b5d6dadf-f4e3-4498-b99c-93b726fca2c1", "metadata": { "ExecuteTime": { @@ -181,7 +171,30 @@ }, "tags": [] }, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ "plt.figure(figsize=(20, 5))\n", "plt.title('LP fees earned after one month:')\n", @@ -218,12 +231,35 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 4, "id": "40b300ed-24b1-410e-be52-d64477ab2e2d", "metadata": { "tags": [] }, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "[]" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ "plt.figure(figsize=(20, 5))\n", "plt.title('extrapolated results for one year')\n", @@ -250,9 +286,29 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 6, "id": "799fda6c-4ada-4536-9d6d-3fe0f7eafd37", "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "16541.77\n", + "1196.13\n" + ] + } + ], + "source": [ + "print(assets['BTC']['usd price'])\n", + "print(assets['ETH']['usd price'])\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "7a23a264-33f1-4b26-91d1-486a4e653106", + "metadata": {}, "outputs": [], "source": [] }