241 lines
5.8 KiB
Plaintext
241 lines
5.8 KiB
Plaintext
{
|
||
"cells": [
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 2,
|
||
"id": "7a3f41bd",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"import pandas as pd\n",
|
||
"import requests"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 3,
|
||
"id": "3b48e1ce",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"url_all_tickers = 'https://api.mexc.com/api/v1/contract/ticker'"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 10,
|
||
"id": "ab38d984",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"r = requests.get(url_all_tickers)\n",
|
||
"data = r.json()['data']"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 21,
|
||
"id": "1139b1a3",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"df = pd.DataFrame(data)\n",
|
||
"df['fundingRate_pct'] = df['fundingRate']*100"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 22,
|
||
"id": "b00512dc",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"df_trim = df[['symbol','fundingRate_pct','volume24']].copy()\n",
|
||
"df_trim = df_trim.loc[df_trim['volume24'] > 10_000]\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 23,
|
||
"id": "43b053d0",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/html": [
|
||
"<div>\n",
|
||
"<style scoped>\n",
|
||
" .dataframe tbody tr th:only-of-type {\n",
|
||
" vertical-align: middle;\n",
|
||
" }\n",
|
||
"\n",
|
||
" .dataframe tbody tr th {\n",
|
||
" vertical-align: top;\n",
|
||
" }\n",
|
||
"\n",
|
||
" .dataframe thead th {\n",
|
||
" text-align: right;\n",
|
||
" }\n",
|
||
"</style>\n",
|
||
"<table border=\"1\" class=\"dataframe\">\n",
|
||
" <thead>\n",
|
||
" <tr style=\"text-align: right;\">\n",
|
||
" <th></th>\n",
|
||
" <th>symbol</th>\n",
|
||
" <th>fundingRate_pct</th>\n",
|
||
" <th>volume24</th>\n",
|
||
" </tr>\n",
|
||
" </thead>\n",
|
||
" <tbody>\n",
|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>BTC_USDT</td>\n",
|
||
" <td>-0.0007</td>\n",
|
||
" <td>208341522</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>1</th>\n",
|
||
" <td>ETH_USDT</td>\n",
|
||
" <td>0.0012</td>\n",
|
||
" <td>27134917</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>2</th>\n",
|
||
" <td>XAUT_USDT</td>\n",
|
||
" <td>0.0050</td>\n",
|
||
" <td>429520428</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>3</th>\n",
|
||
" <td>SOL_USDT</td>\n",
|
||
" <td>-0.0016</td>\n",
|
||
" <td>188591783</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>4</th>\n",
|
||
" <td>SILVER_USDT</td>\n",
|
||
" <td>0.0000</td>\n",
|
||
" <td>634682239</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>...</th>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>837</th>\n",
|
||
" <td>ENS_USDC</td>\n",
|
||
" <td>0.0100</td>\n",
|
||
" <td>196467</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>838</th>\n",
|
||
" <td>KAITO_USDC</td>\n",
|
||
" <td>-0.0106</td>\n",
|
||
" <td>245467</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>839</th>\n",
|
||
" <td>BIO_USDC</td>\n",
|
||
" <td>0.0050</td>\n",
|
||
" <td>586982</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>840</th>\n",
|
||
" <td>ETC_USDC</td>\n",
|
||
" <td>0.0100</td>\n",
|
||
" <td>117338</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>841</th>\n",
|
||
" <td>MNT_USDC</td>\n",
|
||
" <td>0.0100</td>\n",
|
||
" <td>150912</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"<p>837 rows × 3 columns</p>\n",
|
||
"</div>"
|
||
],
|
||
"text/plain": [
|
||
" symbol fundingRate_pct volume24\n",
|
||
"0 BTC_USDT -0.0007 208341522\n",
|
||
"1 ETH_USDT 0.0012 27134917\n",
|
||
"2 XAUT_USDT 0.0050 429520428\n",
|
||
"3 SOL_USDT -0.0016 188591783\n",
|
||
"4 SILVER_USDT 0.0000 634682239\n",
|
||
".. ... ... ...\n",
|
||
"837 ENS_USDC 0.0100 196467\n",
|
||
"838 KAITO_USDC -0.0106 245467\n",
|
||
"839 BIO_USDC 0.0050 586982\n",
|
||
"840 ETC_USDC 0.0100 117338\n",
|
||
"841 MNT_USDC 0.0100 150912\n",
|
||
"\n",
|
||
"[837 rows x 3 columns]"
|
||
]
|
||
},
|
||
"execution_count": 23,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"df_trim"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "f7b44068",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": []
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": []
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "f91b1c04",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": []
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "71e551f4",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": []
|
||
}
|
||
],
|
||
"metadata": {
|
||
"kernelspec": {
|
||
"display_name": "py_313",
|
||
"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": "3.13.12"
|
||
}
|
||
},
|
||
"nbformat": 4,
|
||
"nbformat_minor": 5
|
||
}
|