GifariKemal
0d25548ed5
- Move utility scripts to scripts/ (check_market, check_positions, etc.) - Move test files to tests/ (test_modules, test_mt5_connection, etc.) - Move deprecated dashboards to archive/ - Move research files to docs/research/ - Add sys.path fix to all moved Python files - Rewrite README.md with architecture diagram and badges - Add CLAUDE.md project guide - Add MIT LICENSE - Update .gitignore with archive/ pattern Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
115 lines
4.0 KiB
Python
115 lines
4.0 KiB
Python
"""Quick market analysis script"""
|
|
# Run from project root: python scripts/check_market.py
|
|
import sys, os
|
|
sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
|
|
|
|
from dotenv import load_dotenv
|
|
load_dotenv()
|
|
|
|
from src.mt5_connector import MT5Connector
|
|
from src.smc_polars import SMCAnalyzer
|
|
from src.config import TradingConfig
|
|
|
|
config = TradingConfig()
|
|
mt5 = MT5Connector(config.mt5_login, config.mt5_password, config.mt5_server, config.mt5_path)
|
|
mt5.connect()
|
|
|
|
# Get data
|
|
df = mt5.get_market_data('XAUUSD', 'M15', 500)
|
|
print('=== MARKET DATA ===')
|
|
print(f'Candles: {len(df)}')
|
|
print(f'Last close: {df["close"].tail(1).item():.2f}')
|
|
|
|
# Current price
|
|
tick = mt5.get_tick('XAUUSD')
|
|
print(f'Bid: {tick.bid:.2f}, Ask: {tick.ask:.2f}')
|
|
print(f'Spread: {(tick.ask - tick.bid):.2f}')
|
|
|
|
# SMC Analysis
|
|
smc = SMCAnalyzer()
|
|
df_smc = smc.calculate_all(df)
|
|
|
|
# Check last 20 candles for SMC patterns
|
|
print('')
|
|
print('=== SMC PATTERNS (Last 20 candles) ===')
|
|
last_20 = df_smc.tail(20).select(['time', 'close', 'bos', 'choch', 'is_fvg_bull', 'is_fvg_bear', 'ob', 'fvg_signal', 'market_structure']).to_dicts()
|
|
|
|
pattern_found = False
|
|
for i, row in enumerate(last_20):
|
|
markers = []
|
|
if row.get('bos', 0) != 0:
|
|
markers.append(f'BOS={row["bos"]}')
|
|
if row.get('choch', 0) != 0:
|
|
markers.append(f'CHoCH={row["choch"]}')
|
|
if row.get('is_fvg_bull'):
|
|
markers.append('FVG_BULL')
|
|
if row.get('is_fvg_bear'):
|
|
markers.append('FVG_BEAR')
|
|
if row.get('ob', 0) > 0:
|
|
markers.append('OB_BULL')
|
|
if row.get('ob', 0) < 0:
|
|
markers.append('OB_BEAR')
|
|
|
|
if markers:
|
|
pattern_found = True
|
|
print(f' [{i}] {row["close"]:.2f} | {" | ".join(markers)}')
|
|
|
|
if not pattern_found:
|
|
print(' No patterns in last 20 candles!')
|
|
|
|
# Generate signal
|
|
signal = smc.generate_signal(df_smc)
|
|
print('')
|
|
print('=== SMC SIGNAL RESULT ===')
|
|
if signal:
|
|
print(f'Signal: {signal.signal_type}')
|
|
print(f'Entry: {signal.entry_price:.2f}')
|
|
print(f'SL: {signal.stop_loss:.2f}')
|
|
print(f'TP: {signal.take_profit:.2f}')
|
|
print(f'Confidence: {signal.confidence:.0%}')
|
|
print(f'Reason: {signal.reason}')
|
|
else:
|
|
print('Signal: NONE - No valid setup')
|
|
|
|
# Check last 5 candles
|
|
print('')
|
|
print('Last 5 candles detail:')
|
|
last_5 = df_smc.tail(5).to_dicts()
|
|
for i, row in enumerate(last_5):
|
|
print(f' [{i}] Close={row["close"]:.2f}, BOS={row.get("bos",0)}, CHoCH={row.get("choch",0)}, FVG_B={row.get("is_fvg_bull",False)}, FVG_S={row.get("is_fvg_bear",False)}, OB={row.get("ob",0)}')
|
|
|
|
# Check overall SMC stats
|
|
print('')
|
|
print('=== SMC STATISTICS (All 500 candles) ===')
|
|
bos_bull = df_smc.filter(df_smc['bos'] > 0).height
|
|
bos_bear = df_smc.filter(df_smc['bos'] < 0).height
|
|
choch_bull = df_smc.filter(df_smc['choch'] > 0).height
|
|
choch_bear = df_smc.filter(df_smc['choch'] < 0).height
|
|
fvg_bull = df_smc.filter(df_smc['is_fvg_bull'] == True).height
|
|
fvg_bear = df_smc.filter(df_smc['is_fvg_bear'] == True).height
|
|
ob_bull = df_smc.filter(df_smc['ob'] > 0).height
|
|
ob_bear = df_smc.filter(df_smc['ob'] < 0).height
|
|
|
|
print(f'BOS Bullish: {bos_bull}, BOS Bearish: {bos_bear}')
|
|
print(f'CHoCH Bullish: {choch_bull}, CHoCH Bearish: {choch_bear}')
|
|
print(f'FVG Bullish: {fvg_bull}, FVG Bearish: {fvg_bear}')
|
|
print(f'OB Bullish: {ob_bull}, OB Bearish: {ob_bear}')
|
|
|
|
# Check when was the last BOS/CHoCH
|
|
print('')
|
|
print('=== LAST STRUCTURE BREAKS ===')
|
|
bos_indices = df_smc.with_row_index().filter(df_smc['bos'] != 0).select(['index', 'time', 'close', 'bos']).tail(3).to_dicts()
|
|
choch_indices = df_smc.with_row_index().filter(df_smc['choch'] != 0).select(['index', 'time', 'close', 'choch']).tail(3).to_dicts()
|
|
|
|
print('Last 3 BOS:')
|
|
for row in bos_indices:
|
|
candles_ago = 499 - row['index']
|
|
print(f' {row["time"]} | Close={row["close"]:.2f} | BOS={row["bos"]} | {candles_ago} candles ago')
|
|
|
|
print('Last 3 CHoCH:')
|
|
for row in choch_indices:
|
|
candles_ago = 499 - row['index']
|
|
print(f' {row["time"]} | Close={row["close"]:.2f} | CHoCH={row["choch"]} | {candles_ago} candles ago')
|
|
|
|
mt5.disconnect()
|