87 lines
5.6 KiB
Plaintext
87 lines
5.6 KiB
Plaintext
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"import pygwalker as pyg\n",
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"import polars as pl\n",
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"df = pl.read_csv('./298040/day/candle-day-250.csv',try_parse_dates = True)\n",
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"gwalker = pyg.walk(df)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/html": [
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"<div><style>\n",
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".dataframe > thead > tr > th,\n",
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".dataframe > tbody > tr > td {\n",
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" text-align: right;\n",
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"}\n",
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"</style>\n",
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"<small>shape: (269, 4)</small><table border=\"1\" class=\"dataframe\"><thead><tr><th>ema-12</th><th>ema-24</th><th>ema-9</th><th>stockBusinessDate</th></tr><tr><td>f64</td><td>f64</td><td>f64</td><td>i64</td></tr></thead><tbody><tr><td>59911.60352</td><td>59889.675354</td><td>59814.168558</td><td>20220516</td></tr><tr><td>59851.850215</td><td>59853.99495</td><td>59692.710697</td><td>20220517</td></tr><tr><td>59829.057941</td><td>59841.298859</td><td>59615.888371</td><td>20220518</td></tr><tr><td>59802.759162</td><td>59827.49876</td><td>59519.860464</td><td>20220519</td></tr><tr><td>59957.029803</td><td>59916.846478</td><td>59699.82558</td><td>20220520</td></tr><tr><td>60058.111311</td><td>59970.485302</td><td>59799.781975</td><td>20220523</td></tr><tr><td>60174.74382</td><td>60028.788372</td><td>59924.727469</td><td>20220524</td></tr><tr><td>60447.781331</td><td>60170.422143</td><td>60305.909336</td><td>20220525</td></tr><tr><td>60901.286151</td><td>60402.632764</td><td>61007.386671</td><td>20220526</td></tr><tr><td>61163.022482</td><td>60507.209527</td><td>61459.233338</td><td>20220527</td></tr><tr><td>61449.641325</td><td>60612.184268</td><td>61999.041673</td><td>20220530</td></tr><tr><td>61641.893837</td><td>60648.026378</td><td>62448.802091</td><td>20220531</td></tr><tr><td>…</td><td>…</td><td>…</td><td>…</td></tr><tr><td>87354.701447</td><td>88824.112259</td><td>85744.086036</td><td>20230530</td></tr><tr><td>88393.886285</td><td>89539.252455</td><td>87030.107546</td><td>20230531</td></tr><tr><td>89685.253406</td><td>90368.752669</td><td>88787.634432</td><td>20230601</td></tr><tr><td>90913.75393</td><td>91122.557248</td><td>90559.54304</td><td>20230602</td></tr><tr><td>91315.869919</td><td>91367.997009</td><td>91124.4288</td><td>20230605</td></tr><tr><td>91826.003753</td><td>91660.866314</td><td>91905.536</td><td>20230607</td></tr><tr><td>92106.927407</td><td>91805.289472</td><td>92381.92</td><td>20230608</td></tr><tr><td>92323.377778</td><td>91901.4016</td><td>92802.4</td><td>20230609</td></tr><tr><td>91834.666667</td><td>91588.48</td><td>92128.0</td><td>20230612</td></tr><tr><td>91440.0</td><td>91344.0</td><td>91560.0</td><td>20230613</td></tr><tr><td>91200.0</td><td>91200.0</td><td>91200.0</td><td>20230614</td></tr><tr><td>91200.0</td><td>91200.0</td><td>91200.0</td><td>20230615</td></tr></tbody></table></div>"
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],
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"text/plain": [
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"shape: (269, 4)\n",
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"┌──────────────┬──────────────┬──────────────┬───────────────────┐\n",
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"│ ema-12 ┆ ema-24 ┆ ema-9 ┆ stockBusinessDate │\n",
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"│ --- ┆ --- ┆ --- ┆ --- │\n",
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"│ f64 ┆ f64 ┆ f64 ┆ i64 │\n",
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"╞══════════════╪══════════════╪══════════════╪═══════════════════╡\n",
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"│ 59911.60352 ┆ 59889.675354 ┆ 59814.168558 ┆ 20220516 │\n",
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"│ 59851.850215 ┆ 59853.99495 ┆ 59692.710697 ┆ 20220517 │\n",
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"│ 59829.057941 ┆ 59841.298859 ┆ 59615.888371 ┆ 20220518 │\n",
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"│ 59802.759162 ┆ 59827.49876 ┆ 59519.860464 ┆ 20220519 │\n",
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"│ … ┆ … ┆ … ┆ … │\n",
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"│ 91834.666667 ┆ 91588.48 ┆ 92128.0 ┆ 20230612 │\n",
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"│ 91440.0 ┆ 91344.0 ┆ 91560.0 ┆ 20230613 │\n",
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"│ 91200.0 ┆ 91200.0 ┆ 91200.0 ┆ 20230614 │\n",
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"│ 91200.0 ┆ 91200.0 ┆ 91200.0 ┆ 20230615 │\n",
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"└──────────────┴──────────────┴──────────────┴───────────────────┘"
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]
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},
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"execution_count": 5,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"df.sort(\"stockBusinessDate\", descending=False).select(pl.col(\"stockClosingPrice\").ewm_mean(span=14.0, adjust=False).alias(\"ema-12\"),\n",
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" pl.col(\"stockClosingPrice\").ewm_mean(span=24.0, adjust=False).alias(\"ema-24\"),\n",
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" pl.col(\"stockClosingPrice\").ewm_mean(span=9.0, adjust=False).alias(\"ema-9\"),\n",
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" pl.col(\"stockBusinessDate\")\n",
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" )"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.11.3"
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},
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"orig_nbformat": 4
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}
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