Service freelance chez MQL5.com: Gold_m1_ob_bot.

Description

Spécifications

import MetaTrader5 as mt5

import pandas as pd

import time

from datetime import datetime

# ================== CONFIG ==================

SYMBOL = "XAUUSD"

TIMEFRAME = mt5.TIMEFRAME_M1

LOT = 0.01

MAX_OBS = 12 # keeps signals frequent

ATR_PERIOD = 14

IMPULSE_FACTOR = 1.5 # strong candle = impulse

SESSION_START = 8 # GMT (London open)

SESSION_END = 20 # GMT (NY close)

MAX_SPREAD = 30 # points

# ===========================================

if not mt5.initialize():

print("MT5 init failed")

quit()

print("🚀 Gold M1 Order Block Bot started...")

ob_list = [] # list of dicts: {'type': 'bull'/'bear', 'low': , 'high': , 'tp_level': , 'mitigated': False}

def is_london_ny():

hour = datetime.utcnow().hour

return SESSION_START <= hour < SESSION_END

def get_data(bars=100):

rates = mt5.copy_rates_from_pos(SYMBOL, TIMEFRAME, 0, bars)

df = pd.DataFrame(rates)

df['time'] = pd.to_datetime(df['time'], unit='s')

df['atr'] = df['high'].rolling(ATR_PERIOD).max() - df['low'].rolling(ATR_PERIOD).min()

return df

def detect_new_obs(df):

global ob_list

for i in range(3, len(df)-1):

prev = df.iloc[i-1]

curr = df.iloc[i]

atr = curr['atr']

# Bullish OB: bearish candle + strong bullish impulse

if (prev['close'] < prev['open']) and (curr['close'] - curr['open'] > ATR_PERIOD * IMPULSE_FACTOR):

ob = {'type': 'bull', 'low': prev['low'], 'high': prev['open'],

'tp_level': curr['high'], 'mitigated': False}

ob_list.append(ob)

# Bearish OB: bullish candle + strong bearish impulse

elif (prev['close'] > prev['open']) and (curr['open'] - curr['close'] > ATR_PERIOD * IMPULSE_FACTOR):

ob = {'type': 'bear', 'low': curr['open'], 'high': prev['high'],

'tp_level': curr['low'], 'mitigated': False}

ob_list.append(ob)

# Keep only latest unmitigated OBs

ob_list = [ob for ob in ob_list[-MAX_OBS:] if not ob['mitigated']]

def check_mitigation_and_trade(df):

global ob_list

last = df.iloc[-1]

tick = mt5.symbol_info_tick(SYMBOL)

spread = (tick.ask - tick.bid) / mt5.symbol_info(SYMBOL).point

if spread > MAX_SPREAD or not is_london_ny():

return

positions = mt5.positions_get(symbol=SYMBOL)

if positions:

return # only one trade at a time

for ob in ob_list:

if ob['mitigated']:

continue

if ob['type'] == 'bull' and last['low'] <= ob['high'] and last['close'] > ob['low']:

# BUY at Bullish OB mitigation

sl = ob['low'] - 0.3 * last['atr']

tp = ob['tp_level']

request = {

"action": mt5.TRADE_ACTION_DEAL,

"symbol": SYMBOL,

"volume": LOT,

"type": mt5.ORDER_TYPE_BUY,

"price": tick.ask,

"sl": sl,

"tp": tp,

"deviation": 10,

"magic": 123456,

"comment": "OB_Bull_M1",

"type_time": mt5.ORDER_TIME_GTC,

"type_filling": mt5.ORDER_FILLING_IOC,

}

result = mt5.order_send(request)

if result.retcode == mt5.TRADE_RETCODE_DONE:

print(f"✅ BUY | TP set to impulse high {tp}")

ob['mitigated'] = True

elif ob['type'] == 'bear' and last['high'] >= ob['low'] and last['close'] < ob['high']:

# SELL at Bearish OB mitigation

sl = ob['high'] + 0.3 * last['atr']

tp = ob['tp_level']

request = {

"action": mt5.TRADE_ACTION_DEAL,

"symbol": SYMBOL,

"volume": LOT,

"type": mt5.ORDER_TYPE_SELL,

"price": tick.bid,

"sl": sl,

"tp": tp,

"deviation": 10,

"magic": 123456,

"comment": "OB_Bear_M1",

"type_time": mt5.ORDER_TIME_GTC,

"type_filling": mt5.ORDER_FILLING_IOC,

}

result = mt5.order_send(request)

if result.retcode == mt5.TRADE_RETCODE_DONE:

print(f"✅ SELL | TP set to impulse low {tp}")

ob['mitigated'] = True

while True:

df = get_data(100)

detect_new_obs(df)

check_mitigation_and_trade(df)

time.sleep(10) # check every 10 seconds on M1

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Informations sur le projet

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Client

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