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File size: 18,558 Bytes
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{
"cells": [
{
"cell_type": "code",
"execution_count": 25,
"metadata": {},
"outputs": [],
"source": [
"import requests\n",
"\n",
"response = requests.get(url='https://intellistock-logic-api.hf.space/signal/daily_report')"
]
},
{
"cell_type": "code",
"execution_count": 26,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'null'"
]
},
"execution_count": 26,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"response.text"
]
},
{
"cell_type": "code",
"execution_count": 23,
"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>time</th>\n",
" <th>rsi</th>\n",
" <th>stoch_rsi</th>\n",
" <th>stoch_rsi_smooth_k</th>\n",
" <th>stoch_rsi_smooth_d</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>2023-12-07</td>\n",
" <td>65.420561</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>2023-12-08</td>\n",
" <td>64.768683</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>2023-12-11</td>\n",
" <td>67.554077</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>2023-12-12</td>\n",
" <td>72.770416</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>2023-12-13</td>\n",
" <td>63.064765</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>2023-12-14</td>\n",
" <td>66.107333</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>2023-12-15</td>\n",
" <td>66.107333</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>2023-12-18</td>\n",
" <td>54.626032</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>2023-12-19</td>\n",
" <td>56.828222</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>2023-12-20</td>\n",
" <td>57.201055</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td>2023-12-21</td>\n",
" <td>58.736128</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11</th>\n",
" <td>2023-12-22</td>\n",
" <td>56.030814</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>12</th>\n",
" <td>2023-12-25</td>\n",
" <td>61.392775</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>13</th>\n",
" <td>2023-12-26</td>\n",
" <td>65.298983</td>\n",
" <td>58.822336</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>14</th>\n",
" <td>2023-12-27</td>\n",
" <td>63.567390</td>\n",
" <td>49.278926</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>15</th>\n",
" <td>2023-12-28</td>\n",
" <td>61.802450</td>\n",
" <td>39.551732</td>\n",
" <td>49.217665</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>16</th>\n",
" <td>2023-12-29</td>\n",
" <td>58.868764</td>\n",
" <td>23.383166</td>\n",
" <td>37.404608</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>17</th>\n",
" <td>2024-01-02</td>\n",
" <td>57.689131</td>\n",
" <td>26.679023</td>\n",
" <td>29.871307</td>\n",
" <td>38.831193</td>\n",
" </tr>\n",
" <tr>\n",
" <th>18</th>\n",
" <td>2024-01-03</td>\n",
" <td>59.439694</td>\n",
" <td>41.926101</td>\n",
" <td>30.662763</td>\n",
" <td>32.646226</td>\n",
" </tr>\n",
" <tr>\n",
" <th>19</th>\n",
" <td>2024-01-04</td>\n",
" <td>63.135439</td>\n",
" <td>74.115357</td>\n",
" <td>47.573493</td>\n",
" <td>36.035854</td>\n",
" </tr>\n",
" <tr>\n",
" <th>20</th>\n",
" <td>2024-01-05</td>\n",
" <td>63.922147</td>\n",
" <td>87.099769</td>\n",
" <td>67.713742</td>\n",
" <td>48.649999</td>\n",
" </tr>\n",
" <tr>\n",
" <th>21</th>\n",
" <td>2024-01-08</td>\n",
" <td>63.195960</td>\n",
" <td>77.309191</td>\n",
" <td>79.508106</td>\n",
" <td>64.931780</td>\n",
" </tr>\n",
" <tr>\n",
" <th>22</th>\n",
" <td>2024-01-09</td>\n",
" <td>58.210753</td>\n",
" <td>23.520713</td>\n",
" <td>62.643224</td>\n",
" <td>69.955024</td>\n",
" </tr>\n",
" <tr>\n",
" <th>23</th>\n",
" <td>2024-01-10</td>\n",
" <td>47.303255</td>\n",
" <td>0.000000</td>\n",
" <td>33.609968</td>\n",
" <td>58.587099</td>\n",
" </tr>\n",
" <tr>\n",
" <th>24</th>\n",
" <td>2024-01-11</td>\n",
" <td>48.930438</td>\n",
" <td>9.042052</td>\n",
" <td>10.854255</td>\n",
" <td>35.702482</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25</th>\n",
" <td>2024-01-12</td>\n",
" <td>47.355696</td>\n",
" <td>0.291406</td>\n",
" <td>3.111153</td>\n",
" <td>15.858458</td>\n",
" </tr>\n",
" <tr>\n",
" <th>26</th>\n",
" <td>2024-01-15</td>\n",
" <td>51.294546</td>\n",
" <td>22.179103</td>\n",
" <td>10.504187</td>\n",
" <td>8.156531</td>\n",
" </tr>\n",
" <tr>\n",
" <th>27</th>\n",
" <td>2024-01-16</td>\n",
" <td>52.920318</td>\n",
" <td>33.799258</td>\n",
" <td>18.756589</td>\n",
" <td>10.790643</td>\n",
" </tr>\n",
" <tr>\n",
" <th>28</th>\n",
" <td>2024-01-17</td>\n",
" <td>52.920318</td>\n",
" <td>33.799258</td>\n",
" <td>29.925873</td>\n",
" <td>19.728883</td>\n",
" </tr>\n",
" <tr>\n",
" <th>29</th>\n",
" <td>2024-01-18</td>\n",
" <td>52.246125</td>\n",
" <td>29.742473</td>\n",
" <td>32.446997</td>\n",
" <td>27.043153</td>\n",
" </tr>\n",
" <tr>\n",
" <th>30</th>\n",
" <td>2024-01-19</td>\n",
" <td>56.430468</td>\n",
" <td>54.920704</td>\n",
" <td>39.487478</td>\n",
" <td>33.953449</td>\n",
" </tr>\n",
" <tr>\n",
" <th>31</th>\n",
" <td>2024-01-22</td>\n",
" <td>57.009994</td>\n",
" <td>58.407855</td>\n",
" <td>47.690344</td>\n",
" <td>39.874940</td>\n",
" </tr>\n",
" <tr>\n",
" <th>32</th>\n",
" <td>2024-01-23</td>\n",
" <td>51.148631</td>\n",
" <td>23.138580</td>\n",
" <td>45.489046</td>\n",
" <td>44.222290</td>\n",
" </tr>\n",
" <tr>\n",
" <th>33</th>\n",
" <td>2024-01-24</td>\n",
" <td>47.226857</td>\n",
" <td>0.000000</td>\n",
" <td>27.182145</td>\n",
" <td>40.120512</td>\n",
" </tr>\n",
" <tr>\n",
" <th>34</th>\n",
" <td>2024-01-25</td>\n",
" <td>47.943262</td>\n",
" <td>4.486198</td>\n",
" <td>9.208259</td>\n",
" <td>27.293150</td>\n",
" </tr>\n",
" <tr>\n",
" <th>35</th>\n",
" <td>2024-01-26</td>\n",
" <td>53.394081</td>\n",
" <td>56.147873</td>\n",
" <td>20.211357</td>\n",
" <td>18.867254</td>\n",
" </tr>\n",
" <tr>\n",
" <th>36</th>\n",
" <td>2024-01-29</td>\n",
" <td>53.394081</td>\n",
" <td>63.039333</td>\n",
" <td>41.224468</td>\n",
" <td>23.548028</td>\n",
" </tr>\n",
" <tr>\n",
" <th>37</th>\n",
" <td>2024-01-30</td>\n",
" <td>51.068464</td>\n",
" <td>39.267642</td>\n",
" <td>52.818283</td>\n",
" <td>38.084703</td>\n",
" </tr>\n",
" <tr>\n",
" <th>38</th>\n",
" <td>2024-01-31</td>\n",
" <td>51.821749</td>\n",
" <td>46.967477</td>\n",
" <td>49.758151</td>\n",
" <td>47.933634</td>\n",
" </tr>\n",
" <tr>\n",
" <th>39</th>\n",
" <td>2024-02-01</td>\n",
" <td>71.598259</td>\n",
" <td>100.000000</td>\n",
" <td>62.078373</td>\n",
" <td>54.884935</td>\n",
" </tr>\n",
" <tr>\n",
" <th>40</th>\n",
" <td>2024-02-02</td>\n",
" <td>76.739543</td>\n",
" <td>100.000000</td>\n",
" <td>82.322492</td>\n",
" <td>64.719672</td>\n",
" </tr>\n",
" <tr>\n",
" <th>41</th>\n",
" <td>2024-02-05</td>\n",
" <td>79.582589</td>\n",
" <td>100.000000</td>\n",
" <td>100.000000</td>\n",
" <td>81.466955</td>\n",
" </tr>\n",
" <tr>\n",
" <th>42</th>\n",
" <td>2024-02-06</td>\n",
" <td>80.603826</td>\n",
" <td>100.000000</td>\n",
" <td>100.000000</td>\n",
" <td>94.107497</td>\n",
" </tr>\n",
" <tr>\n",
" <th>43</th>\n",
" <td>2024-02-07</td>\n",
" <td>81.903526</td>\n",
" <td>100.000000</td>\n",
" <td>100.000000</td>\n",
" <td>100.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>44</th>\n",
" <td>2024-02-15</td>\n",
" <td>75.753630</td>\n",
" <td>82.265035</td>\n",
" <td>94.088345</td>\n",
" <td>98.029448</td>\n",
" </tr>\n",
" <tr>\n",
" <th>45</th>\n",
" <td>2024-02-16</td>\n",
" <td>77.934427</td>\n",
" <td>88.553980</td>\n",
" <td>90.273005</td>\n",
" <td>94.787117</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" time rsi stoch_rsi stoch_rsi_smooth_k stoch_rsi_smooth_d\n",
"0 2023-12-07 65.420561 NaN NaN NaN\n",
"1 2023-12-08 64.768683 NaN NaN NaN\n",
"2 2023-12-11 67.554077 NaN NaN NaN\n",
"3 2023-12-12 72.770416 NaN NaN NaN\n",
"4 2023-12-13 63.064765 NaN NaN NaN\n",
"5 2023-12-14 66.107333 NaN NaN NaN\n",
"6 2023-12-15 66.107333 NaN NaN NaN\n",
"7 2023-12-18 54.626032 NaN NaN NaN\n",
"8 2023-12-19 56.828222 NaN NaN NaN\n",
"9 2023-12-20 57.201055 NaN NaN NaN\n",
"10 2023-12-21 58.736128 NaN NaN NaN\n",
"11 2023-12-22 56.030814 NaN NaN NaN\n",
"12 2023-12-25 61.392775 NaN NaN NaN\n",
"13 2023-12-26 65.298983 58.822336 NaN NaN\n",
"14 2023-12-27 63.567390 49.278926 NaN NaN\n",
"15 2023-12-28 61.802450 39.551732 49.217665 NaN\n",
"16 2023-12-29 58.868764 23.383166 37.404608 NaN\n",
"17 2024-01-02 57.689131 26.679023 29.871307 38.831193\n",
"18 2024-01-03 59.439694 41.926101 30.662763 32.646226\n",
"19 2024-01-04 63.135439 74.115357 47.573493 36.035854\n",
"20 2024-01-05 63.922147 87.099769 67.713742 48.649999\n",
"21 2024-01-08 63.195960 77.309191 79.508106 64.931780\n",
"22 2024-01-09 58.210753 23.520713 62.643224 69.955024\n",
"23 2024-01-10 47.303255 0.000000 33.609968 58.587099\n",
"24 2024-01-11 48.930438 9.042052 10.854255 35.702482\n",
"25 2024-01-12 47.355696 0.291406 3.111153 15.858458\n",
"26 2024-01-15 51.294546 22.179103 10.504187 8.156531\n",
"27 2024-01-16 52.920318 33.799258 18.756589 10.790643\n",
"28 2024-01-17 52.920318 33.799258 29.925873 19.728883\n",
"29 2024-01-18 52.246125 29.742473 32.446997 27.043153\n",
"30 2024-01-19 56.430468 54.920704 39.487478 33.953449\n",
"31 2024-01-22 57.009994 58.407855 47.690344 39.874940\n",
"32 2024-01-23 51.148631 23.138580 45.489046 44.222290\n",
"33 2024-01-24 47.226857 0.000000 27.182145 40.120512\n",
"34 2024-01-25 47.943262 4.486198 9.208259 27.293150\n",
"35 2024-01-26 53.394081 56.147873 20.211357 18.867254\n",
"36 2024-01-29 53.394081 63.039333 41.224468 23.548028\n",
"37 2024-01-30 51.068464 39.267642 52.818283 38.084703\n",
"38 2024-01-31 51.821749 46.967477 49.758151 47.933634\n",
"39 2024-02-01 71.598259 100.000000 62.078373 54.884935\n",
"40 2024-02-02 76.739543 100.000000 82.322492 64.719672\n",
"41 2024-02-05 79.582589 100.000000 100.000000 81.466955\n",
"42 2024-02-06 80.603826 100.000000 100.000000 94.107497\n",
"43 2024-02-07 81.903526 100.000000 100.000000 100.000000\n",
"44 2024-02-15 75.753630 82.265035 94.088345 98.029448\n",
"45 2024-02-16 77.934427 88.553980 90.273005 94.787117"
]
},
"execution_count": 23,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"response = requests.post(\n",
" url=\"https://intellistock-data-api.hf.space/data/get_rsi\",\n",
" json={\n",
" 'symbol': 'FPT',\n",
" 'periods': 14,\n",
" 'smooth_k': 3,\n",
" 'smooth_d': 3\n",
" }\n",
")\n",
"import json\n",
"import pandas as pd\n",
"\n",
"pd.DataFrame(json.loads(response.text))"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "hfenv",
"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": "3.10.0"
},
"orig_nbformat": 4
},
"nbformat": 4,
"nbformat_minor": 2
}
|