From c47f8bf8c3ef896b0dfadf1a93b734d1bf7464e9 Mon Sep 17 00:00:00 2001 From: codez0mb1e Date: Fri, 24 Jun 2022 11:39:23 +0000 Subject: [PATCH] Update test --- src/candidate_tests.ipynb | 1144 +++++++++++++++++++++++++++++++++---- 1 file changed, 1022 insertions(+), 122 deletions(-) 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": [ + "
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Open_timeOpenHighLowCloseVolumeClose_timeQuote_asset_volumeNumber_of_tradesTaker_buy_base_asset_volumeTaker_buy_quote_asset_volumeIgnore
count14401440.0000001440.0000001440.0000001440.0000001440.00000014401.440000e+031440.0000001440.0000001.440000e+031440.0
mean2022-06-21 11:59:3021014.35546521033.87731920996.87103521014.45808372.4794352022-06-21 12:00:29.9990003201.526793e+061052.26458336.2452087.635009e+050.0
min2022-06-21 00:00:0020377.84000020396.83000020348.40000020377.8500005.3914202022-06-21 00:00:59.9990001.128460e+05227.0000001.9779604.127662e+040.0
25%2022-06-21 05:59:4520737.96500020763.56750020713.95500020737.97000034.1392272022-06-21 06:00:44.9990000647.153174e+05636.00000015.9056503.315046e+050.0
50%2022-06-21 11:59:3021073.58500021095.07500021052.21000021073.59000052.6157302022-06-21 12:00:29.9990000641.100389e+06859.00000024.9484955.249121e+050.0
75%2022-06-21 17:59:1521241.47000021260.69000021224.11500021241.46750082.0582072022-06-21 18:00:14.9990000641.718243e+061225.25000039.8596558.356794e+050.0
max2022-06-21 23:59:0021691.55000021723.00000021631.91000021691.550000732.1814002022-06-21 23:59:59.9990001.571181e+078776.000000471.9332101.013001e+070.0
stdNaN325.066922325.563767324.575912324.95290871.230479NaN1.511238e+06736.29048041.5594218.819089e+050.0
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" + ], + "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": [ + "
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OpenHighLowCloseVolumeClose_timepair
020573.9020705.7420396.7720672.304235.773922022-06-21 00:59:59.999BTC-USDT
020549.6520703.0820371.7520647.35284.735212022-06-21 00:59:59.999BTC-USDC
120648.0620771.0720482.8320646.88192.505132022-06-21 01:59:59.999BTC-USDC
120672.3020783.9920504.8920670.883892.914122022-06-21 01:59:59.999BTC-USDT
220670.8720699.9320348.4020433.492876.889282022-06-21 02:59:59.999BTC-USDT
220644.7820672.9820331.3620406.71195.670232022-06-21 02:59:59.999BTC-USDC
320433.4920665.2620365.0020614.043306.770182022-06-21 03:59:59.999BTC-USDT
320402.2720649.9920331.4820585.98290.392102022-06-21 03:59:59.999BTC-USDC
420614.0420740.7220474.4120656.172925.335422022-06-21 04:59:59.999BTC-USDT
420586.6320721.1020449.5720632.33205.784592022-06-21 04:59:59.999BTC-USDC
520656.1721029.9320621.1420890.776516.656112022-06-21 05:59:59.999BTC-USDT
520640.3320999.0020594.5820866.07412.424772022-06-21 05:59:59.999BTC-USDC
620890.7721202.0020890.7721192.086114.516622022-06-21 06:59:59.999BTC-USDT
620873.2521178.0020873.2521169.64524.258942022-06-21 06:59:59.999BTC-USDC
721192.0821333.0020952.4621120.285433.086032022-06-21 07:59:59.999BTC-USDT
721166.5821300.0020913.4021097.44304.651132022-06-21 07:59:59.999BTC-USDC
821097.2021471.9121023.6421327.56366.292012022-06-21 08:59:59.999BTC-USDC
821120.2821500.0121051.2521356.326241.368012022-06-21 08:59:59.999BTC-USDT
921342.7621448.2221144.2421182.12350.775432022-06-21 09:59:59.999BTC-USDC
921356.3221470.0021166.9421200.004961.574962022-06-21 09:59:59.999BTC-USDT
1021175.7521298.5221038.3021270.98526.666022022-06-21 10:59:59.999BTC-USDC
1021200.0121307.8321061.5421299.273982.475782022-06-21 10:59:59.999BTC-USDT
1121273.7321336.9420887.1720948.96579.002002022-06-21 11:59:59.999BTC-USDC
1121299.0221361.0320911.1320962.424685.425242022-06-21 11:59:59.999BTC-USDT
1220936.5921143.9920800.0021079.42452.072142022-06-21 12:59:59.999BTC-USDC
1220962.4221163.2420853.3621106.205596.263032022-06-21 12:59:59.999BTC-USDT
1321079.4121629.3620968.2121592.69507.911902022-06-21 13:59:59.999BTC-USDC
1321106.1921650.0020995.6421619.318667.590802022-06-21 13:59:59.999BTC-USDT
1421619.3121723.0021427.8221590.796295.024292022-06-21 14:59:59.999BTC-USDT
1421595.1321699.9821394.0521572.00445.739782022-06-21 14:59:59.999BTC-USDC
1521571.9621671.3421314.9421370.87435.992372022-06-21 15:59:59.999BTC-USDC
1521590.7921604.2721339.0721392.193809.546222022-06-21 15:59:59.999BTC-USDT
1621370.0821533.1421330.0021377.52243.103682022-06-21 16:59:59.999BTC-USDC
1621392.1821550.3921355.7721401.522421.776292022-06-21 16:59:59.999BTC-USDT
1721377.8521434.5821168.5921220.14291.461372022-06-21 17:59:59.999BTC-USDC
1721401.5221457.8221195.7021242.943755.829192022-06-21 17:59:59.999BTC-USDT
1821242.9321256.9921076.4821100.012820.406752022-06-21 18:59:59.999BTC-USDT
1821220.1421233.9421054.7221074.20423.058362022-06-21 18:59:59.999BTC-USDC
1921074.8121279.5220851.1020866.39266.464882022-06-21 19:59:59.999BTC-USDC
1921100.0021306.5120870.0120888.644015.335282022-06-21 19:59:59.999BTC-USDT
2020864.3120960.9820645.0320838.52330.795692022-06-21 20:59:59.999BTC-USDC
2020888.6320987.3820666.0020859.864442.875962022-06-21 20:59:59.999BTC-USDT
2120838.5121057.0120780.2920958.2299.098362022-06-21 21:59:59.999BTC-USDC
2120859.8621054.9920808.0020972.911813.562362022-06-21 21:59:59.999BTC-USDT
2220950.0720975.9220719.0220875.37177.082032022-06-21 22:59:59.999BTC-USDC
2220972.9121003.7020741.0320897.002945.616502022-06-21 22:59:59.999BTC-USDT
2320897.0020943.1720551.0020723.522613.774412022-06-21 23:59:59.999BTC-USDT
2320880.7120916.8520527.9020699.78173.227972022-06-21 23:59:59.999BTC-USDC
\n", + "
" + ], + "text/plain": [ + " Open High Low Close Volume \\\n", + "0 20573.90 20705.74 20396.77 20672.30 4235.77392 \n", + "0 20549.65 20703.08 20371.75 20647.35 284.73521 \n", + "1 20648.06 20771.07 20482.83 20646.88 192.50513 \n", + "1 20672.30 20783.99 20504.89 20670.88 3892.91412 \n", + "2 20670.87 20699.93 20348.40 20433.49 2876.88928 \n", + "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!" ] } ],