import os import matplotlib.pyplot as plt import matplotlib.patches as patches import math os.makedirs('images', exist_ok=True) candle_types = [ 'Bull_1', 'Bull_2', 'Bull_3', 'Bull_4', 'Bear_1', 'Bear_2', 'Bear_3', 'Bear_4', 'Doji_1', 'Doji_2', 'Doji_3', 'Doji_4' ] alignments = [ 'GAP_UP', 'GAP_DOWN', 'ENGULFING', 'HARAMI', 'OVERLAP_UPPER', 'OVERLAP_LOWER', 'PIERCING_CLOUD', 'EQUAL_OPEN', 'OPEN_EQUALS_HIGH', 'OPEN_EQUALS_LOW', 'CONTINUATION', 'CLOSE_EQUALS_OPEN', 'CLOSE_EQUALS_HIGH', 'CLOSE_EQUALS_LOW', 'MEETING_LINES', 'HIGH_EQUALS_OPEN', 'EQUAL_HIGH', 'HIGH_EQUALS_LOW', 'HIGH_EQUALS_CLOSE', 'LOW_EQUALS_OPEN', 'LOW_EQUALS_HIGH', 'EQUAL_LOW', 'LOW_EQUALS_CLOSE' ] def get_base_candle(c_type, base_y=50.0, body_size=10.0, wick_size=5.0): half_body = body_size / 2.0 top_body = base_y + half_body bot_body = base_y - half_body if c_type == 'Bull_1': # H > C > O > L return (bot_body, top_body + wick_size, bot_body - wick_size, top_body) elif c_type == 'Bull_2': # C=H > O > L return (bot_body, top_body, bot_body - wick_size, top_body) elif c_type == 'Bull_3': # H > C > O=L return (bot_body, top_body + wick_size, bot_body, top_body) elif c_type == 'Bull_4': # C=H > O=L return (bot_body, top_body, bot_body, top_body) elif c_type == 'Bear_1': # H > O > C > L return (top_body, top_body + wick_size, bot_body - wick_size, bot_body) elif c_type == 'Bear_2': # H > O > C=L return (top_body, top_body + wick_size, bot_body, bot_body) elif c_type == 'Bear_3': # H=O > C > L return (top_body, top_body, bot_body - wick_size, bot_body) elif c_type == 'Bear_4': # H=O > C=L return (top_body, top_body, bot_body, bot_body) elif c_type == 'Doji_1': return (base_y, base_y + wick_size + half_body, base_y - wick_size - half_body, base_y) elif c_type == 'Doji_2': return (base_y, base_y, base_y - wick_size - half_body, base_y) elif c_type == 'Doji_3': return (base_y, base_y + wick_size + half_body, base_y, base_y) elif c_type == 'Doji_4': return (base_y, base_y, base_y, base_y) def get_c2(type1, align, type2): c1_body_size = 10.0 c1_wick_size = 5.0 O1, H1, L1, C1 = get_base_candle(type1, 50.0, c1_body_size, c1_wick_size) top1 = max(O1, C1) bot1 = min(O1, C1) mid1 = (O1 + C1) / 2.0 c2_body_size = 10.0 c2_wick_size = 5.0 base_y = 50.0 if align == 'GAP_UP': base_y = H1 + c2_body_size/2.0 + c2_wick_size + 2.0 elif align == 'GAP_DOWN': base_y = L1 - c2_body_size/2.0 - c2_wick_size - 2.0 elif align == 'ENGULFING': c2_body_size = c1_body_size * 1.5 c2_wick_size = c1_wick_size * 1.5 base_y = mid1 elif align == 'HARAMI': c2_body_size = c1_body_size * 0.5 c2_wick_size = c1_wick_size * 0.5 base_y = mid1 elif align == 'OVERLAP_UPPER': base_y = top1 elif align == 'OVERLAP_LOWER': base_y = bot1 elif align == 'PIERCING_CLOUD': c2_body_size = 18.0 base_y = mid1 + 4.0 elif align == 'EQUAL_OPEN': base_y += (O1 - get_base_candle(type2, 50.0, c2_body_size, c2_wick_size)[0]) elif align == 'OPEN_EQUALS_HIGH': base_y += (H1 - get_base_candle(type2, 50.0, c2_body_size, c2_wick_size)[0]) elif align == 'OPEN_EQUALS_LOW': base_y += (L1 - get_base_candle(type2, 50.0, c2_body_size, c2_wick_size)[0]) elif align == 'CONTINUATION': base_y += (C1 - get_base_candle(type2, 50.0, c2_body_size, c2_wick_size)[0]) elif align == 'CLOSE_EQUALS_OPEN': base_y += (O1 - get_base_candle(type2, 50.0, c2_body_size, c2_wick_size)[3]) elif align == 'CLOSE_EQUALS_HIGH': base_y += (H1 - get_base_candle(type2, 50.0, c2_body_size, c2_wick_size)[3]) elif align == 'CLOSE_EQUALS_LOW': base_y += (L1 - get_base_candle(type2, 50.0, c2_body_size, c2_wick_size)[3]) elif align == 'MEETING_LINES': base_y += (C1 - get_base_candle(type2, 50.0, c2_body_size, c2_wick_size)[3]) elif align == 'HIGH_EQUALS_OPEN': base_y += (O1 - get_base_candle(type2, 50.0, c2_body_size, c2_wick_size)[1]) elif align == 'EQUAL_HIGH': base_y += (H1 - get_base_candle(type2, 50.0, c2_body_size, c2_wick_size)[1]) elif align == 'HIGH_EQUALS_LOW': base_y += (L1 - get_base_candle(type2, 50.0, c2_body_size, c2_wick_size)[1]) elif align == 'HIGH_EQUALS_CLOSE': base_y += (C1 - get_base_candle(type2, 50.0, c2_body_size, c2_wick_size)[1]) elif align == 'LOW_EQUALS_OPEN': base_y += (O1 - get_base_candle(type2, 50.0, c2_body_size, c2_wick_size)[2]) elif align == 'LOW_EQUALS_HIGH': base_y += (H1 - get_base_candle(type2, 50.0, c2_body_size, c2_wick_size)[2]) elif align == 'EQUAL_LOW': base_y += (L1 - get_base_candle(type2, 50.0, c2_body_size, c2_wick_size)[2]) elif align == 'LOW_EQUALS_CLOSE': base_y += (C1 - get_base_candle(type2, 50.0, c2_body_size, c2_wick_size)[2]) return get_base_candle(type2, base_y, c2_body_size, c2_wick_size) def is_bullish(O, C): return C > O def is_bearish(O, C): return C < O def determine_standard_name(c1_type, O1, H1, L1, C1, c2_type, O2, H2, L2, C2): # This remains simple heuristic, exact namings aren't fully robust for 3000+ combinations return "-" def draw_candle(ax, x, O, H, L, C): if C > O: color = 'green' elif C < O: color = 'red' else: color = 'black' ax.plot([x, x], [L, H], color=color, linewidth=2) top = max(O, C) bottom = min(O, C) height = max(top - bottom, 0.2) if top == bottom else (top - bottom) rect = patches.Rectangle((x - 0.3, bottom if top != bottom else bottom - 0.1), 0.6, height, linewidth=1, edgecolor=color, facecolor=color) ax.add_patch(rect) def get_pattern_desc(align): descriptions = { 'GAP_UP': 'C2 completely above C1', 'GAP_DOWN': 'C2 completely below C1', 'ENGULFING': 'C2 body engulfs C1 body', 'HARAMI': 'C2 body inside C1 body', 'OVERLAP_UPPER': 'C2 centered on C1 High/Open', 'OVERLAP_LOWER': 'C2 centered on C1 Low/Close', 'PIERCING_CLOUD': 'Large gap and heavy overlap', 'EQUAL_OPEN': 'O2 = O1', 'OPEN_EQUALS_HIGH': 'O2 = H1', 'OPEN_EQUALS_LOW': 'O2 = L1', 'CONTINUATION': 'O2 = C1', 'CLOSE_EQUALS_OPEN': 'C2 = O1', 'CLOSE_EQUALS_HIGH': 'C2 = H1', 'CLOSE_EQUALS_LOW': 'C2 = L1', 'MEETING_LINES': 'C2 = C1', 'HIGH_EQUALS_OPEN': 'H2 = O1', 'EQUAL_HIGH': 'H2 = H1', 'HIGH_EQUALS_LOW': 'H2 = L1', 'HIGH_EQUALS_CLOSE': 'H2 = C1', 'LOW_EQUALS_OPEN': 'L2 = O1', 'LOW_EQUALS_HIGH': 'L2 = H1', 'EQUAL_LOW': 'L2 = L1', 'LOW_EQUALS_CLOSE': 'L2 = C1' } return descriptions.get(align, align) def get_candle_logic(c_type, suffix): if c_type == 'Bull_1': return f"H{suffix} > C{suffix} & O{suffix} & L{suffix}
C{suffix} > O{suffix} & L{suffix}
O{suffix} > L{suffix}" elif c_type == 'Bull_2': return f"(C{suffix} = H{suffix}) > O{suffix} & L{suffix}
C{suffix} > O{suffix} & L{suffix}
O{suffix} > L{suffix}" elif c_type == 'Bull_3': return f"H{suffix} > C{suffix} & O{suffix} & L{suffix}
C{suffix} > O{suffix} & L{suffix}
O{suffix} = L{suffix}" elif c_type == 'Bull_4': return f"(C{suffix} = H{suffix}) > O{suffix} & L{suffix}
C{suffix} > O{suffix} & L{suffix}
O{suffix} = L{suffix}" elif c_type == 'Bear_1': return f"L{suffix} < C{suffix} & O{suffix} & H{suffix}
C{suffix} < O{suffix} & H{suffix}
O{suffix} < H{suffix}" elif c_type == 'Bear_2': return f"(C{suffix} = L{suffix}) < O{suffix} & H{suffix}
C{suffix} < O{suffix} & H{suffix}
O{suffix} < H{suffix}" elif c_type == 'Bear_3': return f"L{suffix} < C{suffix} & O{suffix} & H{suffix}
C{suffix} < O{suffix} & H{suffix}
O{suffix} = H{suffix}" elif c_type == 'Bear_4': return f"(C{suffix} = L{suffix}) < O{suffix} & H{suffix}
C{suffix} < O{suffix} & H{suffix}
O{suffix} = H{suffix}" elif c_type == 'Doji_1': return f"H{suffix} > C{suffix} & O{suffix}
C{suffix} = O{suffix}
C{suffix} & O{suffix} > L{suffix}" elif c_type == 'Doji_2': return f"H{suffix} = C{suffix} & O{suffix}
C{suffix} = O{suffix}
C{suffix} & O{suffix} > L{suffix}" elif c_type == 'Doji_3': return f"H{suffix} > C{suffix} & O{suffix}
C{suffix} = O{suffix}
C{suffix} & O{suffix} = L{suffix}" elif c_type == 'Doji_4': return f"H{suffix} = C{suffix} & O{suffix}
C{suffix} = O{suffix}
C{suffix} & O{suffix} = L{suffix}" return "" def get_alignment_logic(align): logic_map = { 'GAP_UP': 'L_C0 > H_C-1', 'GAP_DOWN': 'H_C0 < L_C-1', 'ENGULFING': '(max(O_C0, C_C0) > max(O_C-1, C_C-1)) & (min(O_C0, C_C0) < min(O_C-1, C_C-1))', 'HARAMI': '(max(O_C0, C_C0) < max(O_C-1, C_C-1)) & (min(O_C0, C_C0) > min(O_C-1, C_C-1))', 'OVERLAP_UPPER': '((O_C0 + C_C0) / 2) = max(O_C-1, C_C-1)', 'OVERLAP_LOWER': '((O_C0 + C_C0) / 2) = min(O_C-1, C_C-1)', 'PIERCING_CLOUD': '(O_C0 > H_C-1) & (C_C0 < ((O_C-1 + C_C-1)/2))', 'EQUAL_OPEN': 'O_C0 = O_C-1', 'OPEN_EQUALS_HIGH': 'O_C0 = H_C-1', 'OPEN_EQUALS_LOW': 'O_C0 = L_C-1', 'CONTINUATION': 'O_C0 = C_C-1', 'CLOSE_EQUALS_OPEN': 'C_C0 = O_C-1', 'CLOSE_EQUALS_HIGH': 'C_C0 = H_C-1', 'CLOSE_EQUALS_LOW': 'C_C0 = L_C-1', 'MEETING_LINES': 'C_C0 = C_C-1', 'HIGH_EQUALS_OPEN': 'H_C0 = O_C-1', 'EQUAL_HIGH': 'H_C0 = H_C-1', 'HIGH_EQUALS_LOW': 'H_C0 = L_C-1', 'HIGH_EQUALS_CLOSE': 'H_C0 = C_C-1', 'LOW_EQUALS_OPEN': 'L_C0 = O_C-1', 'LOW_EQUALS_HIGH': 'L_C0 = H_C-1', 'EQUAL_LOW': 'L_C0 = L_C-1', 'LOW_EQUALS_CLOSE': 'L_C0 = C_C-1' } return logic_map.get(align, "") def get_logic_string(c1_type, align, c2_type): lines1 = get_candle_logic(c1_type, "_C-1") lines2 = get_candle_logic(c2_type, "_C0") align_rule = get_alignment_logic(align) return f"{{
{lines1}
{lines2}
{align_rule}
}}" patterns = [] # Generate all patterns for t1 in candle_types: for align in alignments: for t2 in candle_types: patterns.append((t1, align, t2)) total_patterns = len(patterns) patterns_per_img = 10 markdown_lines = [] markdown_lines.append(f"# Complete Exhaustive Set of 2-Candle Patterns (Total: {total_patterns})") markdown_lines.append("") markdown_lines.append("| Code_Name | Pattern_Description | Pattern_Logic | Standard_Name | Image Reference |") markdown_lines.append("|---|---|---|---|---|") for i in range(0, total_patterns, patterns_per_img): batch = patterns[i:i+patterns_per_img] fig, axes = plt.subplots(2, 5, figsize=(20, 8)) fig.subplots_adjust(hspace=0.4, wspace=0.3) axes = axes.flatten() for ax in axes: ax.set_visible(False) for j, (t1, align, t2) in enumerate(batch): ax = axes[j] ax.set_visible(True) O1, H1, L1, C1 = get_base_candle(t1, 50.0, 10.0, 5.0) O2, H2, L2, C2 = get_c2(t1, align, t2) draw_candle(ax, 1, O1, H1, L1, C1) draw_candle(ax, 2, O2, H2, L2, C2) min_y = min(L1, L2) - 5 max_y = max(H1, H2) + 5 ax.set_ylim(min_y, max_y) ax.set_xlim(0, 3) ax.set_xticks([]) ax.set_yticks([]) code_name = f"{t1}_{align}_{t2}" std_name = determine_standard_name(t1, O1, H1, L1, C1, t2, O2, H2, L2, C2) desc = get_pattern_desc(align) ax.set_title(f"{code_name}", fontsize=9) img_name = f"plot_{i//patterns_per_img + 1}.png" logic_str = get_logic_string(t1, align, t2) markdown_lines.append(f"| {code_name} | {desc} | {logic_str} | {std_name} | {img_name} |") img_path = os.path.join('images', img_name) plt.savefig(img_path, bbox_inches='tight') plt.close(fig) with open('2C_patterns.md', 'w') as f: f.write("\n".join(markdown_lines)) print(f"Generated {total_patterns} patterns and saved to images folder. MD written to 2C_patterns.md")