{"spec_id":"renko-basic","library":"matplotlib","language":"python","code":"\"\"\" anyplot.ai\nrenko-basic: Basic Renko Chart\nLibrary: matplotlib 3.10.9 | Python 3.13.13\nQuality: 88/100 | Updated: 2026-05-17\n\"\"\"\n\nimport os\n\nimport matplotlib.patches as mpatches\nimport matplotlib.pyplot as plt\nimport numpy as np\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# imprint semantic anchors\nBULLISH = \"#009E73\"  # green — upward\nBEARISH = \"#AE3030\"  # red — downward\n\n# Generate synthetic price data\nnp.random.seed(42)\nn_points = 200\n\n# Start price and simulate daily returns\nstart_price = 100\nreturns = np.random.normal(0.001, 0.02, n_points)\nprices = start_price * np.cumprod(1 + returns)\n\n# Renko brick calculation\nbrick_size = 2.0\n\n\ndef calculate_renko_bricks(close_prices, brick_size):\n    \"\"\"Calculate Renko bricks from close prices.\"\"\"\n    bricks = []\n    if len(close_prices) == 0:\n        return bricks\n\n    current_price = np.floor(close_prices[0] / brick_size) * brick_size\n\n    for price in close_prices:\n        diff = price - current_price\n        num_bricks = int(abs(diff) // brick_size)\n\n        if num_bricks > 0:\n            direction = 1 if diff > 0 else -1\n            for _ in range(num_bricks):\n                brick_bottom = current_price if direction > 0 else current_price - brick_size\n                bricks.append({\"bottom\": brick_bottom, \"top\": brick_bottom + brick_size, \"direction\": direction})\n                current_price += direction * brick_size\n\n    return bricks\n\n\n# Calculate Renko bricks\nbricks = calculate_renko_bricks(prices, brick_size)\n\n# Create figure\nfig, ax = plt.subplots(figsize=(16, 9), facecolor=PAGE_BG)\nax.set_facecolor(PAGE_BG)\n\n# Draw bricks\nbrick_width = 0.8\ngap = 0.1\n\nfor i, brick in enumerate(bricks):\n    color = BULLISH if brick[\"direction\"] > 0 else BEARISH\n    edge_color = INK_SOFT\n\n    rect = mpatches.Rectangle(\n        (i + gap / 2, brick[\"bottom\"]),\n        brick_width,\n        brick_size,\n        linewidth=1.5,\n        edgecolor=edge_color,\n        facecolor=color,\n        alpha=0.9,\n    )\n    ax.add_patch(rect)\n\n# Set axis limits\nax.set_xlim(-1, len(bricks) + 1)\nall_prices = [b[\"bottom\"] for b in bricks] + [b[\"top\"] for b in bricks]\nax.set_ylim(min(all_prices) - brick_size, max(all_prices) + brick_size)\n\n# Labels and styling\nax.set_xlabel(\"Brick Number\", fontsize=20, color=INK)\nax.set_ylabel(\"Price ($)\", fontsize=20, color=INK)\nax.set_title(\"renko-basic · matplotlib · anyplot.ai\", fontsize=24, fontweight=\"medium\", color=INK)\nax.tick_params(axis=\"both\", labelsize=16, colors=INK_SOFT)\n\n# Subtle grid for price levels\nax.yaxis.grid(True, alpha=0.10, linewidth=0.8, color=INK)\nax.set_axisbelow(True)\n\n# Spine styling\nax.spines[\"top\"].set_visible(False)\nax.spines[\"right\"].set_visible(False)\nfor s in (\"left\", \"bottom\"):\n    ax.spines[s].set_color(INK_SOFT)\n\n# Legend with theme-adaptive styling\nbullish_patch = mpatches.Patch(color=BULLISH, label=\"Bullish (Price Up)\")\nbearish_patch = mpatches.Patch(color=BEARISH, label=\"Bearish (Price Down)\")\nleg = ax.legend(handles=[bullish_patch, bearish_patch], loc=\"upper left\", fontsize=16)\nif leg:\n    leg.get_frame().set_facecolor(ELEVATED_BG)\n    leg.get_frame().set_edgecolor(INK_SOFT)\n    plt.setp(leg.get_texts(), color=INK_SOFT)\n\nplt.tight_layout()\nplt.savefig(f\"plot-{THEME}.png\", dpi=300, bbox_inches=\"tight\", facecolor=PAGE_BG)\n"}