diff --git a/src/candidate_tests.ipynb b/src/candidate_tests.ipynb
index 643e5f9..4b9e15e 100644
--- a/src/candidate_tests.ipynb
+++ b/src/candidate_tests.ipynb
@@ -4,40 +4,40 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "# A little non-economic research\n",
+ "# Analyst Code Interview\n",
"\n",
+ "Hi,\n",
"\n",
- "## Existing quiz tests\n",
+ "It's a simple code interview. I shouldn't take you more than an hour, and it's fun :)\n",
"\n",
- "https://www.linkedin.com/skill-assessments/hub/quizzes/ \n",
+ "## Part I. Quizzes\n",
+ "\n",
+ "If you didn't have `Python badge` on LinkedIn then it's time [to do it](https://www.linkedin.com/skill-assessments/hub/quizzes/)! Please share your results with us. By the way, here's my badge.\n",
"\n",
"![](../docs/li.png)\n",
"\n",
- "https://www.w3schools.com/quiztest/quiztest.asp?qtest=PANDAS\n",
- "\n",
- "\n",
- "![](../docs/w3.png)\n"
+ "If you don't have a LinkedIn account or like quizzes, then take another test from [W3 School](https://www.w3schools.com/quiztest/quiztest.asp?qtest=PANDAS).\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "## Code interview\n",
+ "## Part II. Coding\n",
"\n",
- "Datasets:\n",
+ "Please share the screen with us and let's repair our program together. \n",
+ "You can use google.com, StackOverflow, or your favorite IDE. Please use a version of Python greater or equals than 3.8\n",
"\n",
- "1. Binance Open Data: [spot candles](https://github.com/binance/binance-public-data/#klines)\n",
- "2. OpenFIGI: [search API](https://www.openfigi.com/search).\n",
+ "We intend to collect data from [Binance Open Data](https://github.com/binance/binance-public-data/#klines) and analyze it.\n",
"\n",
- "### Binance Open Data\n",
+ "### Stet 1. Download data \n",
"\n",
- "Downloading candles for `BTC/USDT` and `BTC/UDSC` using `bash` or `powershell`:"
+ "Downloading __1-minute candles__ for `BTC/USDT` and `BTC/UDSC` using `bash` or `powershell` scripts:"
]
},
{
"cell_type": "code",
- "execution_count": 2,
+ "execution_count": 1,
"metadata": {
"vscode": {
"languageId": "shellscript"
@@ -48,23 +48,23 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "mkdir: cannot create directory ‘../data/binance’: File exists\n",
- "--2022-06-23 12:48:13-- https://data.binance.vision/data/spot/daily/klines/BTCUSDT/1m/BTCUSDT-1m-2022-06-21.zip\n",
- "Resolving data.binance.vision (data.binance.vision)... 13.224.2.90, 13.224.2.55, 13.224.2.128, ...\n",
- "Connecting to data.binance.vision (data.binance.vision)|13.224.2.90|:443... connected.\n",
+ "mkdir: cannot create directory ‘../data’: File exists\n",
+ "--2022-06-24 11:22:56-- https://data.binance.vision/data/spot/daily/klines/BTCUSDT/1m/BTCUSDT-1m-2022-06-21.zip\n",
+ "Resolving data.binance.vision (data.binance.vision)... 108.138.94.79, 108.138.94.48, 108.138.94.67, ...\n",
+ "Connecting to data.binance.vision (data.binance.vision)|108.138.94.79|:443... connected.\n",
"HTTP request sent, awaiting response... 304 Not Modified\n",
- "File ‘../data/binance/BTCUSDT-1m-2022-06-21.zip’ not modified on server. Omitting download.\n",
+ "File ‘../data/BTCUSDT-1m-2022-06-21.zip’ not modified on server. Omitting download.\n",
"\n",
- "--2022-06-23 12:48:14-- https://data.binance.vision/data/spot/daily/klines/BTCUSDC/1m/BTCUSDC-1m-2022-06-21.zip\n",
- "Resolving data.binance.vision (data.binance.vision)... 13.224.2.90, 13.224.2.55, 13.224.2.128, ...\n",
- "Connecting to data.binance.vision (data.binance.vision)|13.224.2.90|:443... connected.\n",
+ "--2022-06-24 11:22:57-- https://data.binance.vision/data/spot/daily/klines/BTCUSDC/1m/BTCUSDC-1m-2022-06-21.zip\n",
+ "Resolving data.binance.vision (data.binance.vision)... 108.138.94.88, 108.138.94.67, 108.138.94.48, ...\n",
+ "Connecting to data.binance.vision (data.binance.vision)|108.138.94.88|:443... connected.\n",
"HTTP request sent, awaiting response... 304 Not Modified\n",
- "File ‘../data/binance/BTCUSDC-1m-2022-06-21.zip’ not modified on server. Omitting download.\n",
+ "File ‘../data/BTCUSDC-1m-2022-06-21.zip’ not modified on server. Omitting download.\n",
"\n",
- "Archive: ../data/binance/BTCUSDT-1m-2022-06-21.zip\n",
- " inflating: ../data/binance/BTCUSDT-1m-2022-06-21.csv \n",
- "Archive: ../data/binance/BTCUSDC-1m-2022-06-21.zip\n",
- " inflating: ../data/binance/BTCUSDC-1m-2022-06-21.csv \n"
+ "Archive: ../data/BTCUSDT-1m-2022-06-21.zip\n",
+ " inflating: ../data/BTCUSDT-1m-2022-06-21.csv \n",
+ "Archive: ../data/BTCUSDC-1m-2022-06-21.zip\n",
+ " inflating: ../data/BTCUSDC-1m-2022-06-21.csv \n"
]
}
],
@@ -72,27 +72,29 @@
"#!/bin/sh\n",
"\n",
"# create dir for data\n",
- "!mkdir ../data/binance\n",
+ "!mkdir ../data\n",
"\n",
"# download data using GET request\n",
- "!wget -N -P ../data/binance https://data.binance.vision/data/spot/daily/klines/BTCUSDT/1m/BTCUSDT-1m-2022-06-21.zip\n",
- "!wget -N -P../data/binance https://data.binance.vision/data/spot/daily/klines/BTCUSDC/1m/BTCUSDC-1m-2022-06-21.zip\n",
+ "!wget -N -P ../data https://data.binance.vision/data/spot/daily/klines/BTCUSDT/1m/BTCUSDT-1m-2022-06-21.zip\n",
+ "!wget -N -P../data https://data.binance.vision/data/spot/daily/klines/BTCUSDC/1m/BTCUSDC-1m-2022-06-21.zip\n",
"\n",
"# unzip\n",
- "!unzip -o -d ../data/binance ../data/binance/BTCUSDT-1m-2022-06-21.zip \n",
- "!unzip -o -d ../data/binance ../data/binance/BTCUSDC-1m-2022-06-21.zip"
+ "!unzip -o -d ../data ../data/BTCUSDT-1m-2022-06-21.zip \n",
+ "!unzip -o -d ../data ../data/BTCUSDC-1m-2022-06-21.zip"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "Import packages for data analysis"
+ "### Step 2: Import data to Dataframe \n",
+ "\n",
+ "Import packages for data analysis:"
]
},
{
"cell_type": "code",
- "execution_count": 3,
+ "execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
@@ -108,12 +110,12 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "Read data from CSV file to Pandas DataFrame:"
+ "Import data from CSV file to Pandas DataFrame:"
]
},
{
"cell_type": "code",
- "execution_count": 4,
+ "execution_count": 3,
"metadata": {},
"outputs": [
{
@@ -247,7 +249,7 @@
"4 1655769899999 1.717907e+06 1098 36.40944 7.485065e+05 0 "
]
},
- "execution_count": 4,
+ "execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
@@ -264,12 +266,12 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "Set names to columns with 1m candles:"
+ "Set names to columns:"
]
},
{
"cell_type": "code",
- "execution_count": 5,
+ "execution_count": 4,
"metadata": {},
"outputs": [
{
@@ -410,7 +412,7 @@
"4 36.40944 7.485065e+05 0 "
]
},
- "execution_count": 5,
+ "execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
@@ -446,24 +448,7 @@
},
{
"cell_type": "code",
- "execution_count": 6,
- "metadata": {},
- "outputs": [],
- "source": [
- "btcusdt_df['Open_time'] = btcusdt_df.iloc[:, 0].apply(lambda t: datetime.fromtimestamp(t/1000))\n",
- "btcusdt_df['Close_time'] = btcusdt_df.iloc[:, 6].apply(lambda t: datetime.fromtimestamp(t/1000))"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "Find min and max time:"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 7,
+ "execution_count": 5,
"metadata": {},
"outputs": [
{
@@ -488,55 +473,369 @@
"
\n",
" | \n",
" Open_time | \n",
+ " Open | \n",
+ " High | \n",
+ " Low | \n",
+ " Close | \n",
+ " Volume | \n",
" Close_time | \n",
+ " Quote_asset_volume | \n",
+ " Number_of_trades | \n",
+ " Taker_buy_base_asset_volume | \n",
+ " Taker_buy_quote_asset_volume | \n",
+ " Ignore | \n",
"
\n",
" \n",
" \n",
" \n",
- " min | \n",
+ " 0 | \n",
" 2022-06-21 00:00:00 | \n",
- " 2022-06-21 00:00:59.999000 | \n",
+ " 20573.90 | \n",
+ " 20590.00 | \n",
+ " 20552.17 | \n",
+ " 20558.36 | \n",
+ " 70.76925 | \n",
+ " 2022-06-21 00:00:59.999 | \n",
+ " 1.455321e+06 | \n",
+ " 1150 | \n",
+ " 37.36821 | \n",
+ " 7.683845e+05 | \n",
+ " 0 | \n",
"
\n",
" \n",
- " max | \n",
- " 2022-06-21 23:59:00 | \n",
- " 2022-06-21 23:59:59.999000 | \n",
+ " 1 | \n",
+ " 2022-06-21 00:01:00 | \n",
+ " 20558.35 | \n",
+ " 20611.21 | \n",
+ " 20558.35 | \n",
+ " 20606.70 | \n",
+ " 118.06032 | \n",
+ " 2022-06-21 00:01:59.999 | \n",
+ " 2.430514e+06 | \n",
+ " 1402 | \n",
+ " 61.25760 | \n",
+ " 1.260950e+06 | \n",
+ " 0 | \n",
"
\n",
" \n",
- " len | \n",
- " 1440 | \n",
- " 1440 | \n",
+ " 2 | \n",
+ " 2022-06-21 00:02:00 | \n",
+ " 20606.69 | \n",
+ " 20626.89 | \n",
+ " 20552.40 | \n",
+ " 20552.40 | \n",
+ " 130.42894 | \n",
+ " 2022-06-21 00:02:59.999 | \n",
+ " 2.686026e+06 | \n",
+ " 1433 | \n",
+ " 55.80573 | \n",
+ " 1.149409e+06 | \n",
+ " 0 | \n",
+ "
\n",
+ " \n",
+ " 3 | \n",
+ " 2022-06-21 00:03:00 | \n",
+ " 20552.41 | \n",
+ " 20585.69 | \n",
+ " 20539.09 | \n",
+ " 20578.89 | \n",
+ " 103.56318 | \n",
+ " 2022-06-21 00:03:59.999 | \n",
+ " 2.128819e+06 | \n",
+ " 1301 | \n",
+ " 64.57346 | \n",
+ " 1.327338e+06 | \n",
+ " 0 | \n",
+ "
\n",
+ " \n",
+ " 4 | \n",
+ " 2022-06-21 00:04:00 | \n",
+ " 20578.89 | \n",
+ " 20579.90 | \n",
+ " 20537.57 | \n",
+ " 20554.46 | \n",
+ " 83.55509 | \n",
+ " 2022-06-21 00:04:59.999 | \n",
+ " 1.717907e+06 | \n",
+ " 1098 | \n",
+ " 36.40944 | \n",
+ " 7.485065e+05 | \n",
+ " 0 | \n",
"
\n",
" \n",
"\n",
""
],
"text/plain": [
- " Open_time Close_time\n",
- "min 2022-06-21 00:00:00 2022-06-21 00:00:59.999000\n",
- "max 2022-06-21 23:59:00 2022-06-21 23:59:59.999000\n",
- "len 1440 1440"
+ " Open_time Open High Low Close Volume \\\n",
+ "0 2022-06-21 00:00:00 20573.90 20590.00 20552.17 20558.36 70.76925 \n",
+ "1 2022-06-21 00:01:00 20558.35 20611.21 20558.35 20606.70 118.06032 \n",
+ "2 2022-06-21 00:02:00 20606.69 20626.89 20552.40 20552.40 130.42894 \n",
+ "3 2022-06-21 00:03:00 20552.41 20585.69 20539.09 20578.89 103.56318 \n",
+ "4 2022-06-21 00:04:00 20578.89 20579.90 20537.57 20554.46 83.55509 \n",
+ "\n",
+ " Close_time Quote_asset_volume Number_of_trades \\\n",
+ "0 2022-06-21 00:00:59.999 1.455321e+06 1150 \n",
+ "1 2022-06-21 00:01:59.999 2.430514e+06 1402 \n",
+ "2 2022-06-21 00:02:59.999 2.686026e+06 1433 \n",
+ "3 2022-06-21 00:03:59.999 2.128819e+06 1301 \n",
+ "4 2022-06-21 00:04:59.999 1.717907e+06 1098 \n",
+ "\n",
+ " Taker_buy_base_asset_volume Taker_buy_quote_asset_volume Ignore \n",
+ "0 37.36821 7.683845e+05 0 \n",
+ "1 61.25760 1.260950e+06 0 \n",
+ "2 55.80573 1.149409e+06 0 \n",
+ "3 64.57346 1.327338e+06 0 \n",
+ "4 36.40944 7.485065e+05 0 "
]
},
- "execution_count": 7,
+ "execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
- "btcusdt_df[['Open_time', 'Close_time']].aggregate(func=[min, max, len])"
+ "btcusdt_df['Open_time'] = btcusdt_df.iloc[:, 0].apply(lambda t: datetime.fromtimestamp(t/1000))\n",
+ "btcusdt_df['Close_time'] = btcusdt_df.iloc[:, 6].apply(lambda t: datetime.fromtimestamp(t/1000))\n",
+ "\n",
+ "btcusdt_df.head()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "Calculate 1-hour `OHLCV` candles:"
+ "Let's take a look at _Descriptive statistics_ (min, mean, max, standard deviation):"
]
},
{
"cell_type": "code",
- "execution_count": 8,
+ "execution_count": 6,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "\n",
+ "
\n",
+ " \n",
+ " \n",
+ " | \n",
+ " Open_time | \n",
+ " Open | \n",
+ " High | \n",
+ " Low | \n",
+ " Close | \n",
+ " Volume | \n",
+ " Close_time | \n",
+ " Quote_asset_volume | \n",
+ " Number_of_trades | \n",
+ " Taker_buy_base_asset_volume | \n",
+ " Taker_buy_quote_asset_volume | \n",
+ " Ignore | \n",
+ "
\n",
+ " \n",
+ " \n",
+ " \n",
+ " count | \n",
+ " 1440 | \n",
+ " 1440.000000 | \n",
+ " 1440.000000 | \n",
+ " 1440.000000 | \n",
+ " 1440.000000 | \n",
+ " 1440.000000 | \n",
+ " 1440 | \n",
+ " 1.440000e+03 | \n",
+ " 1440.000000 | \n",
+ " 1440.000000 | \n",
+ " 1.440000e+03 | \n",
+ " 1440.0 | \n",
+ "
\n",
+ " \n",
+ " mean | \n",
+ " 2022-06-21 11:59:30 | \n",
+ " 21014.355465 | \n",
+ " 21033.877319 | \n",
+ " 20996.871035 | \n",
+ " 21014.458083 | \n",
+ " 72.479435 | \n",
+ " 2022-06-21 12:00:29.999000320 | \n",
+ " 1.526793e+06 | \n",
+ " 1052.264583 | \n",
+ " 36.245208 | \n",
+ " 7.635009e+05 | \n",
+ " 0.0 | \n",
+ "
\n",
+ " \n",
+ " min | \n",
+ " 2022-06-21 00:00:00 | \n",
+ " 20377.840000 | \n",
+ " 20396.830000 | \n",
+ " 20348.400000 | \n",
+ " 20377.850000 | \n",
+ " 5.391420 | \n",
+ " 2022-06-21 00:00:59.999000 | \n",
+ " 1.128460e+05 | \n",
+ " 227.000000 | \n",
+ " 1.977960 | \n",
+ " 4.127662e+04 | \n",
+ " 0.0 | \n",
+ "
\n",
+ " \n",
+ " 25% | \n",
+ " 2022-06-21 05:59:45 | \n",
+ " 20737.965000 | \n",
+ " 20763.567500 | \n",
+ " 20713.955000 | \n",
+ " 20737.970000 | \n",
+ " 34.139227 | \n",
+ " 2022-06-21 06:00:44.999000064 | \n",
+ " 7.153174e+05 | \n",
+ " 636.000000 | \n",
+ " 15.905650 | \n",
+ " 3.315046e+05 | \n",
+ " 0.0 | \n",
+ "
\n",
+ " \n",
+ " 50% | \n",
+ " 2022-06-21 11:59:30 | \n",
+ " 21073.585000 | \n",
+ " 21095.075000 | \n",
+ " 21052.210000 | \n",
+ " 21073.590000 | \n",
+ " 52.615730 | \n",
+ " 2022-06-21 12:00:29.999000064 | \n",
+ " 1.100389e+06 | \n",
+ " 859.000000 | \n",
+ " 24.948495 | \n",
+ " 5.249121e+05 | \n",
+ " 0.0 | \n",
+ "
\n",
+ " \n",
+ " 75% | \n",
+ " 2022-06-21 17:59:15 | \n",
+ " 21241.470000 | \n",
+ " 21260.690000 | \n",
+ " 21224.115000 | \n",
+ " 21241.467500 | \n",
+ " 82.058207 | \n",
+ " 2022-06-21 18:00:14.999000064 | \n",
+ " 1.718243e+06 | \n",
+ " 1225.250000 | \n",
+ " 39.859655 | \n",
+ " 8.356794e+05 | \n",
+ " 0.0 | \n",
+ "
\n",
+ " \n",
+ " max | \n",
+ " 2022-06-21 23:59:00 | \n",
+ " 21691.550000 | \n",
+ " 21723.000000 | \n",
+ " 21631.910000 | \n",
+ " 21691.550000 | \n",
+ " 732.181400 | \n",
+ " 2022-06-21 23:59:59.999000 | \n",
+ " 1.571181e+07 | \n",
+ " 8776.000000 | \n",
+ " 471.933210 | \n",
+ " 1.013001e+07 | \n",
+ " 0.0 | \n",
+ "
\n",
+ " \n",
+ " std | \n",
+ " NaN | \n",
+ " 325.066922 | \n",
+ " 325.563767 | \n",
+ " 324.575912 | \n",
+ " 324.952908 | \n",
+ " 71.230479 | \n",
+ " NaN | \n",
+ " 1.511238e+06 | \n",
+ " 736.290480 | \n",
+ " 41.559421 | \n",
+ " 8.819089e+05 | \n",
+ " 0.0 | \n",
+ "
\n",
+ " \n",
+ "
\n",
+ "
"
+ ],
+ "text/plain": [
+ " Open_time Open High Low \\\n",
+ "count 1440 1440.000000 1440.000000 1440.000000 \n",
+ "mean 2022-06-21 11:59:30 21014.355465 21033.877319 20996.871035 \n",
+ "min 2022-06-21 00:00:00 20377.840000 20396.830000 20348.400000 \n",
+ "25% 2022-06-21 05:59:45 20737.965000 20763.567500 20713.955000 \n",
+ "50% 2022-06-21 11:59:30 21073.585000 21095.075000 21052.210000 \n",
+ "75% 2022-06-21 17:59:15 21241.470000 21260.690000 21224.115000 \n",
+ "max 2022-06-21 23:59:00 21691.550000 21723.000000 21631.910000 \n",
+ "std NaN 325.066922 325.563767 324.575912 \n",
+ "\n",
+ " Close Volume Close_time \\\n",
+ "count 1440.000000 1440.000000 1440 \n",
+ "mean 21014.458083 72.479435 2022-06-21 12:00:29.999000320 \n",
+ "min 20377.850000 5.391420 2022-06-21 00:00:59.999000 \n",
+ "25% 20737.970000 34.139227 2022-06-21 06:00:44.999000064 \n",
+ "50% 21073.590000 52.615730 2022-06-21 12:00:29.999000064 \n",
+ "75% 21241.467500 82.058207 2022-06-21 18:00:14.999000064 \n",
+ "max 21691.550000 732.181400 2022-06-21 23:59:59.999000 \n",
+ "std 324.952908 71.230479 NaN \n",
+ "\n",
+ " Quote_asset_volume Number_of_trades Taker_buy_base_asset_volume \\\n",
+ "count 1.440000e+03 1440.000000 1440.000000 \n",
+ "mean 1.526793e+06 1052.264583 36.245208 \n",
+ "min 1.128460e+05 227.000000 1.977960 \n",
+ "25% 7.153174e+05 636.000000 15.905650 \n",
+ "50% 1.100389e+06 859.000000 24.948495 \n",
+ "75% 1.718243e+06 1225.250000 39.859655 \n",
+ "max 1.571181e+07 8776.000000 471.933210 \n",
+ "std 1.511238e+06 736.290480 41.559421 \n",
+ "\n",
+ " Taker_buy_quote_asset_volume Ignore \n",
+ "count 1.440000e+03 1440.0 \n",
+ "mean 7.635009e+05 0.0 \n",
+ "min 4.127662e+04 0.0 \n",
+ "25% 3.315046e+05 0.0 \n",
+ "50% 5.249121e+05 0.0 \n",
+ "75% 8.356794e+05 0.0 \n",
+ "max 1.013001e+07 0.0 \n",
+ "std 8.819089e+05 0.0 "
+ ]
+ },
+ "execution_count": 6,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "btcusdt_df.describe(datetime_is_numeric=True)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### Step 2: Transform data\n",
+ "\n",
+ "Calculate __1-hour OHLCV__ candles:"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 7,
"metadata": {},
"outputs": [
{
@@ -817,7 +1116,7 @@
"23 20897.00 20943.17 20551.00 20723.52 2613.77441 2022-06-21 23:59:59.999"
]
},
- "execution_count": 8,
+ "execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
@@ -844,6 +1143,7 @@
" )\n",
"\n",
"btcusdt_1h_df = calculate_ohclv(btcusdt_df)\n",
+ "\n",
"btcusdt_1h_df"
]
},
@@ -851,12 +1151,12 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "Validate results:"
+ "Data validation is very important. Let's write domain-driven asserts:"
]
},
{
"cell_type": "code",
- "execution_count": 9,
+ "execution_count": 8,
"metadata": {},
"outputs": [],
"source": [
@@ -872,12 +1172,14 @@
"cell_type": "markdown",
"metadata": {},
"source": [
- "Do the same for `BTC/USDC` pair:"
+ "### Step 3: Expand the dataset with information about `BTC/USDC` \n",
+ "\n",
+ "Download `BTC/USDC` 1-minute candles and transform it to 1-hour candles:"
]
},
{
"cell_type": "code",
- "execution_count": 10,
+ "execution_count": 9,
"metadata": {},
"outputs": [
{
@@ -1158,17 +1460,17 @@
"23 20880.71 20916.85 20527.90 20699.78 173.22797 2022-06-21 23:59:59.999"
]
},
- "execution_count": 10,
+ "execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
- "btcusdc_df = get_data('BTCUSDC')\n",
- "btcusdc_df = set_column_names(btcusdc_df)\n",
- "btcusdc_df['Close_time'] = btcusdc_df.iloc[:, 6].apply(lambda t: datetime.fromtimestamp(t/1000))\n",
+ "btcusdc_df = get_data('BTCUSDC') # download data\n",
+ "btcusdc_df = set_column_names(btcusdc_df) # set column names\n",
+ "btcusdc_df['Close_time'] = btcusdc_df.iloc[:, 6].apply(lambda t: datetime.fromtimestamp(t/1000)) # convert timestamp to date+time\n",
"\n",
- "btcusdc_1h_df = calculate_ohclv(btcusdc_df)\n",
+ "btcusdc_1h_df = calculate_ohclv(btcusdc_df) # calculate 1h OHCLV candles\n",
"btcusdc_1h_df"
]
},
@@ -1181,68 +1483,666 @@
},
{
"cell_type": "code",
- "execution_count": 11,
+ "execution_count": 10,
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "\n",
+ "
\n",
+ " \n",
+ " \n",
+ " | \n",
+ " Open | \n",
+ " High | \n",
+ " Low | \n",
+ " Close | \n",
+ " Volume | \n",
+ " Close_time | \n",
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\n",
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\n",
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\n",
+ " \n",
+ " 5 | \n",
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+ " 21029.93 | \n",
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\n",
+ " \n",
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\n",
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\n",
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\n",
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+ " 20952.46 | \n",
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\n",
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\n",
+ " \n",
+ " 8 | \n",
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\n",
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+ " 21051.25 | \n",
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\n",
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\n",
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\n",
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\n",
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\n",
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+ " 2022-06-21 12:59:59.999 | \n",
+ " BTC-USDC | \n",
+ "
\n",
+ " \n",
+ " 12 | \n",
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+ " 2022-06-21 12:59:59.999 | \n",
+ " BTC-USDT | \n",
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\n",
+ " \n",
+ " 13 | \n",
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+ " 507.91190 | \n",
+ " 2022-06-21 13:59:59.999 | \n",
+ " BTC-USDC | \n",
+ "
\n",
+ " \n",
+ " 13 | \n",
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+ " 8667.59080 | \n",
+ " 2022-06-21 13:59:59.999 | \n",
+ " BTC-USDT | \n",
+ "
\n",
+ " \n",
+ " 14 | \n",
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+ " BTC-USDT | \n",
+ "
\n",
+ " \n",
+ " 14 | \n",
+ " 21595.13 | \n",
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+ " 21394.05 | \n",
+ " 21572.00 | \n",
+ " 445.73978 | \n",
+ " 2022-06-21 14:59:59.999 | \n",
+ " BTC-USDC | \n",
+ "
\n",
+ " \n",
+ " 15 | \n",
+ " 21571.96 | \n",
+ " 21671.34 | \n",
+ " 21314.94 | \n",
+ " 21370.87 | \n",
+ " 435.99237 | \n",
+ " 2022-06-21 15:59:59.999 | \n",
+ " BTC-USDC | \n",
+ "
\n",
+ " \n",
+ " 15 | \n",
+ " 21590.79 | \n",
+ " 21604.27 | \n",
+ " 21339.07 | \n",
+ " 21392.19 | \n",
+ " 3809.54622 | \n",
+ " 2022-06-21 15:59:59.999 | \n",
+ " BTC-USDT | \n",
+ "
\n",
+ " \n",
+ " 16 | \n",
+ " 21370.08 | \n",
+ " 21533.14 | \n",
+ " 21330.00 | \n",
+ " 21377.52 | \n",
+ " 243.10368 | \n",
+ " 2022-06-21 16:59:59.999 | \n",
+ " BTC-USDC | \n",
+ "
\n",
+ " \n",
+ " 16 | \n",
+ " 21392.18 | \n",
+ " 21550.39 | \n",
+ " 21355.77 | \n",
+ " 21401.52 | \n",
+ " 2421.77629 | \n",
+ " 2022-06-21 16:59:59.999 | \n",
+ " BTC-USDT | \n",
+ "
\n",
+ " \n",
+ " 17 | \n",
+ " 21377.85 | \n",
+ " 21434.58 | \n",
+ " 21168.59 | \n",
+ " 21220.14 | \n",
+ " 291.46137 | \n",
+ " 2022-06-21 17:59:59.999 | \n",
+ " BTC-USDC | \n",
+ "
\n",
+ " \n",
+ " 17 | \n",
+ " 21401.52 | \n",
+ " 21457.82 | \n",
+ " 21195.70 | \n",
+ " 21242.94 | \n",
+ " 3755.82919 | \n",
+ " 2022-06-21 17:59:59.999 | \n",
+ " BTC-USDT | \n",
+ "
\n",
+ " \n",
+ " 18 | \n",
+ " 21242.93 | \n",
+ " 21256.99 | \n",
+ " 21076.48 | \n",
+ " 21100.01 | \n",
+ " 2820.40675 | \n",
+ " 2022-06-21 18:59:59.999 | \n",
+ " BTC-USDT | \n",
+ "
\n",
+ " \n",
+ " 18 | \n",
+ " 21220.14 | \n",
+ " 21233.94 | \n",
+ " 21054.72 | \n",
+ " 21074.20 | \n",
+ " 423.05836 | \n",
+ " 2022-06-21 18:59:59.999 | \n",
+ " BTC-USDC | \n",
+ "
\n",
+ " \n",
+ " 19 | \n",
+ " 21074.81 | \n",
+ " 21279.52 | \n",
+ " 20851.10 | \n",
+ " 20866.39 | \n",
+ " 266.46488 | \n",
+ " 2022-06-21 19:59:59.999 | \n",
+ " BTC-USDC | \n",
+ "
\n",
+ " \n",
+ " 19 | \n",
+ " 21100.00 | \n",
+ " 21306.51 | \n",
+ " 20870.01 | \n",
+ " 20888.64 | \n",
+ " 4015.33528 | \n",
+ " 2022-06-21 19:59:59.999 | \n",
+ " BTC-USDT | \n",
+ "
\n",
+ " \n",
+ " 20 | \n",
+ " 20864.31 | \n",
+ " 20960.98 | \n",
+ " 20645.03 | \n",
+ " 20838.52 | \n",
+ " 330.79569 | \n",
+ " 2022-06-21 20:59:59.999 | \n",
+ " BTC-USDC | \n",
+ "
\n",
+ " \n",
+ " 20 | \n",
+ " 20888.63 | \n",
+ " 20987.38 | \n",
+ " 20666.00 | \n",
+ " 20859.86 | \n",
+ " 4442.87596 | \n",
+ " 2022-06-21 20:59:59.999 | \n",
+ " BTC-USDT | \n",
+ "
\n",
+ " \n",
+ " 21 | \n",
+ " 20838.51 | \n",
+ " 21057.01 | \n",
+ " 20780.29 | \n",
+ " 20958.22 | \n",
+ " 99.09836 | \n",
+ " 2022-06-21 21:59:59.999 | \n",
+ " BTC-USDC | \n",
+ "
\n",
+ " \n",
+ " 21 | \n",
+ " 20859.86 | \n",
+ " 21054.99 | \n",
+ " 20808.00 | \n",
+ " 20972.91 | \n",
+ " 1813.56236 | \n",
+ " 2022-06-21 21:59:59.999 | \n",
+ " BTC-USDT | \n",
+ "
\n",
+ " \n",
+ " 22 | \n",
+ " 20950.07 | \n",
+ " 20975.92 | \n",
+ " 20719.02 | \n",
+ " 20875.37 | \n",
+ " 177.08203 | \n",
+ " 2022-06-21 22:59:59.999 | \n",
+ " BTC-USDC | \n",
+ "
\n",
+ " \n",
+ " 22 | \n",
+ " 20972.91 | \n",
+ " 21003.70 | \n",
+ " 20741.03 | \n",
+ " 20897.00 | \n",
+ " 2945.61650 | \n",
+ " 2022-06-21 22:59:59.999 | \n",
+ " BTC-USDT | \n",
+ "
\n",
+ " \n",
+ " 23 | \n",
+ " 20897.00 | \n",
+ " 20943.17 | \n",
+ " 20551.00 | \n",
+ " 20723.52 | \n",
+ " 2613.77441 | \n",
+ " 2022-06-21 23:59:59.999 | \n",
+ " BTC-USDT | \n",
+ "
\n",
+ " \n",
+ " 23 | \n",
+ " 20880.71 | \n",
+ " 20916.85 | \n",
+ " 20527.90 | \n",
+ " 20699.78 | \n",
+ " 173.22797 | \n",
+ " 2022-06-21 23:59:59.999 | \n",
+ " BTC-USDC | \n",
+ "
\n",
+ " \n",
+ "
\n",
+ "
"
+ ],
+ "text/plain": [
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+ "2 20644.78 20672.98 20331.36 20406.71 195.67023 \n",
+ "3 20433.49 20665.26 20365.00 20614.04 3306.77018 \n",
+ "3 20402.27 20649.99 20331.48 20585.98 290.39210 \n",
+ "4 20614.04 20740.72 20474.41 20656.17 2925.33542 \n",
+ "4 20586.63 20721.10 20449.57 20632.33 205.78459 \n",
+ "5 20656.17 21029.93 20621.14 20890.77 6516.65611 \n",
+ "5 20640.33 20999.00 20594.58 20866.07 412.42477 \n",
+ "6 20890.77 21202.00 20890.77 21192.08 6114.51662 \n",
+ "6 20873.25 21178.00 20873.25 21169.64 524.25894 \n",
+ "7 21192.08 21333.00 20952.46 21120.28 5433.08603 \n",
+ "7 21166.58 21300.00 20913.40 21097.44 304.65113 \n",
+ "8 21097.20 21471.91 21023.64 21327.56 366.29201 \n",
+ "8 21120.28 21500.01 21051.25 21356.32 6241.36801 \n",
+ "9 21342.76 21448.22 21144.24 21182.12 350.77543 \n",
+ "9 21356.32 21470.00 21166.94 21200.00 4961.57496 \n",
+ "10 21175.75 21298.52 21038.30 21270.98 526.66602 \n",
+ "10 21200.01 21307.83 21061.54 21299.27 3982.47578 \n",
+ "11 21273.73 21336.94 20887.17 20948.96 579.00200 \n",
+ "11 21299.02 21361.03 20911.13 20962.42 4685.42524 \n",
+ "12 20936.59 21143.99 20800.00 21079.42 452.07214 \n",
+ "12 20962.42 21163.24 20853.36 21106.20 5596.26303 \n",
+ "13 21079.41 21629.36 20968.21 21592.69 507.91190 \n",
+ "13 21106.19 21650.00 20995.64 21619.31 8667.59080 \n",
+ "14 21619.31 21723.00 21427.82 21590.79 6295.02429 \n",
+ "14 21595.13 21699.98 21394.05 21572.00 445.73978 \n",
+ "15 21571.96 21671.34 21314.94 21370.87 435.99237 \n",
+ "15 21590.79 21604.27 21339.07 21392.19 3809.54622 \n",
+ "16 21370.08 21533.14 21330.00 21377.52 243.10368 \n",
+ "16 21392.18 21550.39 21355.77 21401.52 2421.77629 \n",
+ "17 21377.85 21434.58 21168.59 21220.14 291.46137 \n",
+ "17 21401.52 21457.82 21195.70 21242.94 3755.82919 \n",
+ "18 21242.93 21256.99 21076.48 21100.01 2820.40675 \n",
+ "18 21220.14 21233.94 21054.72 21074.20 423.05836 \n",
+ "19 21074.81 21279.52 20851.10 20866.39 266.46488 \n",
+ "19 21100.00 21306.51 20870.01 20888.64 4015.33528 \n",
+ "20 20864.31 20960.98 20645.03 20838.52 330.79569 \n",
+ "20 20888.63 20987.38 20666.00 20859.86 4442.87596 \n",
+ "21 20838.51 21057.01 20780.29 20958.22 99.09836 \n",
+ "21 20859.86 21054.99 20808.00 20972.91 1813.56236 \n",
+ "22 20950.07 20975.92 20719.02 20875.37 177.08203 \n",
+ "22 20972.91 21003.70 20741.03 20897.00 2945.61650 \n",
+ "23 20897.00 20943.17 20551.00 20723.52 2613.77441 \n",
+ "23 20880.71 20916.85 20527.90 20699.78 173.22797 \n",
+ "\n",
+ " Close_time pair \n",
+ "0 2022-06-21 00:59:59.999 BTC-USDT \n",
+ "0 2022-06-21 00:59:59.999 BTC-USDC \n",
+ "1 2022-06-21 01:59:59.999 BTC-USDC \n",
+ "1 2022-06-21 01:59:59.999 BTC-USDT \n",
+ "2 2022-06-21 02:59:59.999 BTC-USDT \n",
+ "2 2022-06-21 02:59:59.999 BTC-USDC \n",
+ "3 2022-06-21 03:59:59.999 BTC-USDT \n",
+ "3 2022-06-21 03:59:59.999 BTC-USDC \n",
+ "4 2022-06-21 04:59:59.999 BTC-USDT \n",
+ "4 2022-06-21 04:59:59.999 BTC-USDC \n",
+ "5 2022-06-21 05:59:59.999 BTC-USDT \n",
+ "5 2022-06-21 05:59:59.999 BTC-USDC \n",
+ "6 2022-06-21 06:59:59.999 BTC-USDT \n",
+ "6 2022-06-21 06:59:59.999 BTC-USDC \n",
+ "7 2022-06-21 07:59:59.999 BTC-USDT \n",
+ "7 2022-06-21 07:59:59.999 BTC-USDC \n",
+ "8 2022-06-21 08:59:59.999 BTC-USDC \n",
+ "8 2022-06-21 08:59:59.999 BTC-USDT \n",
+ "9 2022-06-21 09:59:59.999 BTC-USDC \n",
+ "9 2022-06-21 09:59:59.999 BTC-USDT \n",
+ "10 2022-06-21 10:59:59.999 BTC-USDC \n",
+ "10 2022-06-21 10:59:59.999 BTC-USDT \n",
+ "11 2022-06-21 11:59:59.999 BTC-USDC \n",
+ "11 2022-06-21 11:59:59.999 BTC-USDT \n",
+ "12 2022-06-21 12:59:59.999 BTC-USDC \n",
+ "12 2022-06-21 12:59:59.999 BTC-USDT \n",
+ "13 2022-06-21 13:59:59.999 BTC-USDC \n",
+ "13 2022-06-21 13:59:59.999 BTC-USDT \n",
+ "14 2022-06-21 14:59:59.999 BTC-USDT \n",
+ "14 2022-06-21 14:59:59.999 BTC-USDC \n",
+ "15 2022-06-21 15:59:59.999 BTC-USDC \n",
+ "15 2022-06-21 15:59:59.999 BTC-USDT \n",
+ "16 2022-06-21 16:59:59.999 BTC-USDC \n",
+ "16 2022-06-21 16:59:59.999 BTC-USDT \n",
+ "17 2022-06-21 17:59:59.999 BTC-USDC \n",
+ "17 2022-06-21 17:59:59.999 BTC-USDT \n",
+ "18 2022-06-21 18:59:59.999 BTC-USDT \n",
+ "18 2022-06-21 18:59:59.999 BTC-USDC \n",
+ "19 2022-06-21 19:59:59.999 BTC-USDC \n",
+ "19 2022-06-21 19:59:59.999 BTC-USDT \n",
+ "20 2022-06-21 20:59:59.999 BTC-USDC \n",
+ "20 2022-06-21 20:59:59.999 BTC-USDT \n",
+ "21 2022-06-21 21:59:59.999 BTC-USDC \n",
+ "21 2022-06-21 21:59:59.999 BTC-USDT \n",
+ "22 2022-06-21 22:59:59.999 BTC-USDC \n",
+ "22 2022-06-21 22:59:59.999 BTC-USDT \n",
+ "23 2022-06-21 23:59:59.999 BTC-USDT \n",
+ "23 2022-06-21 23:59:59.999 BTC-USDC "
+ ]
+ },
+ "execution_count": 10,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
"source": [
"btcusdt_1h_df['pair'] = 'BTC-USDT'\n",
"btcusdc_1h_df['pair'] = 'BTC-USDC'\n",
"\n",
+ "# Join datasets\n",
"candles_1h_df = pd.concat([btcusdt_1h_df, btcusdc_1h_df])\n",
"\n",
+ "# Validate result\n",
"assert(\n",
" isinstance(candles_1h_df, pd.DataFrame)\n",
" and candles_1h_df.shape == (48, 7)\n",
" and (candles_1h_df['pair'].unique() == ['BTC-USDT', 'BTC-USDC']).all()\n",
- ")"
+ ")\n",
+ "\n",
+ "# Sort output by Close_time\n",
+ "candles_1h_df.sort_values('Close_time')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "Plot something interesting... :bulb:"
+ "### Step 4: Advanced analytics and visualization\n",
+ "\n",
+ "Great! We have a dataset with 2 pairs. Let's think about what interesting things can be found there :bulb: and try to visualize it.\n",
+ "Feel free to use your favorite framework(s) for visualization."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "Enrich dataset using Open FIGI API Interaction"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 12,
- "metadata": {},
- "outputs": [
- {
- "ename": "JSONDecodeError",
- "evalue": "Expecting value: line 1 column 1 (char 0)",
- "output_type": "error",
- "traceback": [
- "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
- "\u001b[0;31mJSONDecodeError\u001b[0m Traceback (most recent call last)",
- "\u001b[1;32m/home/dictator/apps/resistance/src/candidate.ipynb Cell 24'\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m 5\u001b[0m json_response \u001b[39m=\u001b[39m response\u001b[39m.\u001b[39mjson()\n\u001b[1;32m 7\u001b[0m \u001b[39mreturn\u001b[39;00m pd\u001b[39m.\u001b[39mDataFrame\u001b[39m.\u001b[39mfrom_dict(json_response[\u001b[39m'\u001b[39m\u001b[39mresult\u001b[39m\u001b[39m'\u001b[39m], orient\u001b[39m=\u001b[39m\u001b[39m'\u001b[39m\u001b[39mcolumns\u001b[39m\u001b[39m'\u001b[39m)\n\u001b[0;32m----> 9\u001b[0m send_request(\u001b[39m'\u001b[39;49m\u001b[39mBTCUSDT\u001b[39;49m\u001b[39m'\u001b[39;49m)\n",
- "\u001b[1;32m/home/dictator/apps/resistance/src/candidate.ipynb Cell 24'\u001b[0m in \u001b[0;36msend_request\u001b[0;34m(ticker)\u001b[0m\n\u001b[1;32m 2\u001b[0m api_url \u001b[39m=\u001b[39m \u001b[39mf\u001b[39m\u001b[39m'\u001b[39m\u001b[39mhttps://www.openfigi.com/search/query?facetQuery=MARKET_SECTOR_DES:%22Curncy%22&num_rows=100&simpleSearchString=\u001b[39m\u001b[39m{\u001b[39;00mticker\u001b[39m}\u001b[39;00m\u001b[39m&start=0\u001b[39m\u001b[39m'\u001b[39m\n\u001b[1;32m 4\u001b[0m response \u001b[39m=\u001b[39m httpx\u001b[39m.\u001b[39mget(api_url)\n\u001b[0;32m----> 5\u001b[0m json_response \u001b[39m=\u001b[39m response\u001b[39m.\u001b[39;49mjson()\n\u001b[1;32m 7\u001b[0m \u001b[39mreturn\u001b[39;00m pd\u001b[39m.\u001b[39mDataFrame\u001b[39m.\u001b[39mfrom_dict(json_response[\u001b[39m'\u001b[39m\u001b[39mresult\u001b[39m\u001b[39m'\u001b[39m], orient\u001b[39m=\u001b[39m\u001b[39m'\u001b[39m\u001b[39mcolumns\u001b[39m\u001b[39m'\u001b[39m)\n",
- "File \u001b[0;32m~/miniconda3/lib/python3.9/site-packages/httpx/_models.py:1517\u001b[0m, in \u001b[0;36mResponse.json\u001b[0;34m(self, **kwargs)\u001b[0m\n\u001b[1;32m 1515\u001b[0m \u001b[39mif\u001b[39;00m encoding \u001b[39mis\u001b[39;00m \u001b[39mnot\u001b[39;00m \u001b[39mNone\u001b[39;00m:\n\u001b[1;32m 1516\u001b[0m \u001b[39mreturn\u001b[39;00m jsonlib\u001b[39m.\u001b[39mloads(\u001b[39mself\u001b[39m\u001b[39m.\u001b[39mcontent\u001b[39m.\u001b[39mdecode(encoding), \u001b[39m*\u001b[39m\u001b[39m*\u001b[39mkwargs)\n\u001b[0;32m-> 1517\u001b[0m \u001b[39mreturn\u001b[39;00m jsonlib\u001b[39m.\u001b[39;49mloads(\u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mtext, \u001b[39m*\u001b[39;49m\u001b[39m*\u001b[39;49mkwargs)\n",
- "File \u001b[0;32m~/miniconda3/lib/python3.9/json/__init__.py:346\u001b[0m, in \u001b[0;36mloads\u001b[0;34m(s, cls, object_hook, parse_float, parse_int, parse_constant, object_pairs_hook, **kw)\u001b[0m\n\u001b[1;32m 341\u001b[0m s \u001b[39m=\u001b[39m s\u001b[39m.\u001b[39mdecode(detect_encoding(s), \u001b[39m'\u001b[39m\u001b[39msurrogatepass\u001b[39m\u001b[39m'\u001b[39m)\n\u001b[1;32m 343\u001b[0m \u001b[39mif\u001b[39;00m (\u001b[39mcls\u001b[39m \u001b[39mis\u001b[39;00m \u001b[39mNone\u001b[39;00m \u001b[39mand\u001b[39;00m object_hook \u001b[39mis\u001b[39;00m \u001b[39mNone\u001b[39;00m \u001b[39mand\u001b[39;00m\n\u001b[1;32m 344\u001b[0m parse_int \u001b[39mis\u001b[39;00m \u001b[39mNone\u001b[39;00m \u001b[39mand\u001b[39;00m parse_float \u001b[39mis\u001b[39;00m \u001b[39mNone\u001b[39;00m \u001b[39mand\u001b[39;00m\n\u001b[1;32m 345\u001b[0m parse_constant \u001b[39mis\u001b[39;00m \u001b[39mNone\u001b[39;00m \u001b[39mand\u001b[39;00m object_pairs_hook \u001b[39mis\u001b[39;00m \u001b[39mNone\u001b[39;00m \u001b[39mand\u001b[39;00m \u001b[39mnot\u001b[39;00m kw):\n\u001b[0;32m--> 346\u001b[0m \u001b[39mreturn\u001b[39;00m _default_decoder\u001b[39m.\u001b[39;49mdecode(s)\n\u001b[1;32m 347\u001b[0m \u001b[39mif\u001b[39;00m \u001b[39mcls\u001b[39m \u001b[39mis\u001b[39;00m \u001b[39mNone\u001b[39;00m:\n\u001b[1;32m 348\u001b[0m \u001b[39mcls\u001b[39m \u001b[39m=\u001b[39m JSONDecoder\n",
- "File \u001b[0;32m~/miniconda3/lib/python3.9/json/decoder.py:337\u001b[0m, in \u001b[0;36mJSONDecoder.decode\u001b[0;34m(self, s, _w)\u001b[0m\n\u001b[1;32m 332\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mdecode\u001b[39m(\u001b[39mself\u001b[39m, s, _w\u001b[39m=\u001b[39mWHITESPACE\u001b[39m.\u001b[39mmatch):\n\u001b[1;32m 333\u001b[0m \u001b[39m\"\"\"Return the Python representation of ``s`` (a ``str`` instance\u001b[39;00m\n\u001b[1;32m 334\u001b[0m \u001b[39m containing a JSON document).\u001b[39;00m\n\u001b[1;32m 335\u001b[0m \n\u001b[1;32m 336\u001b[0m \u001b[39m \"\"\"\u001b[39;00m\n\u001b[0;32m--> 337\u001b[0m obj, end \u001b[39m=\u001b[39m \u001b[39mself\u001b[39;49m\u001b[39m.\u001b[39;49mraw_decode(s, idx\u001b[39m=\u001b[39;49m_w(s, \u001b[39m0\u001b[39;49m)\u001b[39m.\u001b[39;49mend())\n\u001b[1;32m 338\u001b[0m end \u001b[39m=\u001b[39m _w(s, end)\u001b[39m.\u001b[39mend()\n\u001b[1;32m 339\u001b[0m \u001b[39mif\u001b[39;00m end \u001b[39m!=\u001b[39m \u001b[39mlen\u001b[39m(s):\n",
- "File \u001b[0;32m~/miniconda3/lib/python3.9/json/decoder.py:355\u001b[0m, in \u001b[0;36mJSONDecoder.raw_decode\u001b[0;34m(self, s, idx)\u001b[0m\n\u001b[1;32m 353\u001b[0m obj, end \u001b[39m=\u001b[39m \u001b[39mself\u001b[39m\u001b[39m.\u001b[39mscan_once(s, idx)\n\u001b[1;32m 354\u001b[0m \u001b[39mexcept\u001b[39;00m \u001b[39mStopIteration\u001b[39;00m \u001b[39mas\u001b[39;00m err:\n\u001b[0;32m--> 355\u001b[0m \u001b[39mraise\u001b[39;00m JSONDecodeError(\u001b[39m\"\u001b[39m\u001b[39mExpecting value\u001b[39m\u001b[39m\"\u001b[39m, s, err\u001b[39m.\u001b[39mvalue) \u001b[39mfrom\u001b[39;00m \u001b[39mNone\u001b[39m\n\u001b[1;32m 356\u001b[0m \u001b[39mreturn\u001b[39;00m obj, end\n",
- "\u001b[0;31mJSONDecodeError\u001b[0m: Expecting value: line 1 column 1 (char 0)"
- ]
- }
- ],
- "source": [
- "def send_request(ticker: str) -> pd.DataFrame:\n",
- " api_url = f'https://www.openfigi.com/search/query?facetQuery=MARKET_SECTOR_DES:%22Curncy%22&num_rows=100&simpleSearchString={ticker}&start=0'\n",
+ "## Conclusion\n",
"\n",
- " response = httpx.get(api_url)\n",
- " json_response = response.json()\n",
- " \n",
- " return pd.DataFrame.from_dict(json_response['result'], orient='columns')\n",
- "\n",
- "send_request('BTCUSDT')"
+ "Great job! Thanks for your work and ideas. I hope it was an exciting journey!"
]
}
],
|