{"spec_id":"indicator-sma","library":"seaborn","language":"python","code":"\"\"\" anyplot.ai\nindicator-sma: Simple Moving Average (SMA) Indicator Chart\nLibrary: seaborn 0.13.2 | Python 3.13.13\nQuality: 88/100 | Updated: 2026-05-19\n\"\"\"\n\nimport os\n\nimport matplotlib.pyplot as plt\nimport numpy as np\nimport pandas as pd\nimport seaborn as sns\n\n\n# Theme tokens\nTHEME = os.getenv(\"ANYPLOT_THEME\", \"light\")\nPAGE_BG = \"#FAF8F1\" if THEME == \"light\" else \"#1A1A17\"\nELEVATED_BG = \"#FFFDF6\" if THEME == \"light\" else \"#242420\"\nINK = \"#1A1A17\" if THEME == \"light\" else \"#F0EFE8\"\nINK_SOFT = \"#4A4A44\" if THEME == \"light\" else \"#B8B7B0\"\n\n# Okabe-Ito palette — close price first (brand green), then SMAs in canonical order\nPALETTE = {\"Close Price\": \"#009E73\", \"SMA 20\": \"#C475FD\", \"SMA 50\": \"#4467A3\", \"SMA 200\": \"#BD8233\"}\n\nsns.set_theme(\n    style=\"ticks\",\n    rc={\n        \"figure.facecolor\": PAGE_BG,\n        \"axes.facecolor\": PAGE_BG,\n        \"axes.edgecolor\": INK_SOFT,\n        \"axes.labelcolor\": INK,\n        \"text.color\": INK,\n        \"xtick.color\": INK_SOFT,\n        \"ytick.color\": INK_SOFT,\n        \"grid.color\": INK,\n        \"grid.alpha\": 0.10,\n        \"legend.facecolor\": ELEVATED_BG,\n        \"legend.edgecolor\": INK_SOFT,\n    },\n)\n\n# Data — realistic stock price with geometric random walk and mild upward drift\nnp.random.seed(42)\nn_days = 300\ndates = pd.date_range(start=\"2025-01-01\", periods=n_days, freq=\"B\")\nreturns = np.random.normal(0.0005, 0.015, n_days)\nprices = 100 * np.cumprod(1 + returns)\ntrend = np.linspace(0, 20, n_days)\nprices = prices + trend * 0.3\n\ndf = pd.DataFrame({\"date\": dates, \"close\": prices})\ndf[\"sma_20\"] = df[\"close\"].rolling(window=20).mean()\ndf[\"sma_50\"] = df[\"close\"].rolling(window=50).mean()\ndf[\"sma_200\"] = df[\"close\"].rolling(window=200).mean()\n\n# Reshape to long format for seaborn native hue parameter\ndf_long = pd.melt(\n    df, id_vars=[\"date\"], value_vars=[\"close\", \"sma_20\", \"sma_50\", \"sma_200\"], var_name=\"series\", value_name=\"price\"\n)\nlabel_map = {\"close\": \"Close Price\", \"sma_20\": \"SMA 20\", \"sma_50\": \"SMA 50\", \"sma_200\": \"SMA 200\"}\ndf_long[\"series\"] = df_long[\"series\"].map(label_map)\n\n# Plot\nfig, ax = plt.subplots(figsize=(16, 9), facecolor=PAGE_BG)\nax.set_facecolor(PAGE_BG)\n\nsns.lineplot(\n    data=df_long,\n    x=\"date\",\n    y=\"price\",\n    hue=\"series\",\n    palette=PALETTE,\n    hue_order=list(PALETTE.keys()),\n    linewidth=2.2,\n    ax=ax,\n)\n\n# Style\nax.set_title(\"indicator-sma · python · seaborn · anyplot.ai\", fontsize=24, fontweight=\"medium\", color=INK, pad=20)\nax.set_xlabel(\"Date\", fontsize=20, color=INK)\nax.set_ylabel(\"Price ($)\", fontsize=20, color=INK)\nax.tick_params(axis=\"both\", labelsize=16, colors=INK_SOFT)\n\nax.spines[\"top\"].set_visible(False)\nax.spines[\"right\"].set_visible(False)\nax.spines[\"left\"].set_color(INK_SOFT)\nax.spines[\"bottom\"].set_color(INK_SOFT)\n\nax.yaxis.grid(True, alpha=0.12, linewidth=0.8, color=INK)\nax.xaxis.grid(False)\nax.set_axisbelow(True)\n\nlegend = ax.get_legend()\nif legend:\n    legend.set_title(None)\n    legend.get_frame().set_facecolor(ELEVATED_BG)\n    legend.get_frame().set_edgecolor(INK_SOFT)\n    for text in legend.get_texts():\n        text.set_color(INK)\n        text.set_fontsize(16)\n\nfig.autofmt_xdate(rotation=30)\n\nplt.tight_layout()\nplt.savefig(f\"plot-{THEME}.png\", dpi=300, bbox_inches=\"tight\", facecolor=PAGE_BG)\n"}