Specifiche
# Import necessary libraries
import pandas as pd
# Define parameters
stop_loss_percentage = 0.02 # Set stop loss percentage (2% in this example)
take_profit_percentage = 0.05 # Set take profit percentage (5% in this example)
# Read historical price data
df = pd.read_csv("historical_data.csv") # Replace with your historical data file or API integration
# Calculate moving averages
df['SMA_50'] = df['Close'].rolling(window=50).mean()
df['SMA_200'] = df['Close'].rolling(window=200).mean()
# Initialize variables
position = None
entry_price = 0.0
# Start trading loop
for i in range(200, len(df)):
current_price = df['Close'].iloc[i]
# Check for entry conditions
if position is None and df['SMA_50'].iloc[i] > df['SMA_200'].iloc[i]:
position = 'long'
entry_price = current_price
print(f"Enter long position at {entry_price}")
elif position is None and df['SMA_50'].iloc[i] < df['SMA_200'].iloc[i]:
position = 'short'
entry_price = current_price
print(f"Enter short position at {entry_price}")
# Check for exit conditions
if position == 'long' and current_price >= (1 + take_profit_percentage) * entry_price:
position = None
exit_price = current_price
print(f"Exit long position at {exit_price}")
profit = exit_price - entry_price
print(f"Profit: {profit}")
elif position == 'long' and current_price <= (1 - stop_loss_percentage) * entry_price:
position = None
exit_price = current_price
print(f"Exit long position at {exit_price}")
loss = exit_price - entry_price
print(f"Loss: {loss}")
elif position == 'short' and current_price <= (1 - take_profit_percentage) * entry_price:
position = None
exit_price = current_price
print(f"Exit short position at {exit_price}")
profit = entry_price - exit_price
print(f"Profit: {profit}")
elif position == 'short' and current_price >= (1 + stop_loss_percentage) * entry_price:
position = None
exit_price = current_price
print(f"Exit short position at {exit_price}")
loss = entry_price - exit_price
print(f"Loss: {loss}")
Con risposta
1
Valutazioni
Progetti
2
0%
Arbitraggio
1
0%
/
0%
In ritardo
2
100%
Gratuito
2
Valutazioni
Progetti
66
12%
Arbitraggio
12
58%
/
42%
In ritardo
1
2%
Gratuito
3
Valutazioni
Progetti
50
42%
Arbitraggio
3
33%
/
33%
In ritardo
4
8%
Gratuito
4
Valutazioni
Progetti
10
50%
Arbitraggio
6
17%
/
50%
In ritardo
3
30%
In elaborazione
5
Valutazioni
Progetti
4
50%
Arbitraggio
4
0%
/
75%
In ritardo
0
Gratuito
Ordini simili
Need someone to code ORB EA
30 - 70 USD
Hello, I need a professional developer to code an Expert Advisor (EA) for MetaTrader 5 based on a clean London Opening Range Breakout (ORB) strategy. I do not know how to code, so I need someone to make it for me. It would trade on a 5m TF, multiple pairs, idk how EA work, but if i adjust which pairs EA will trade and how much risk per trade would be great. I also atteched a file to make it easier to understand, cuz
THE PIP CRUSHER
61+ USD
**PROJECT TITLE:** MQL5 Expert Advisor — Debug, Fix & Finalize (THE PIP CRUSHER) --- **PROJECT TYPE:** Fix and finalize existing MQL5 Expert Advisor code. This is NOT a strategy development job. The strategy is fully designed and the code is already written. I need a skilled MQL5 developer to compile the code, fix all errors and warnings, verify the logic works correctly, and deliver a clean working EA. --- **ABOUT
1. Trading Instruments: - The robot should trade exclusively on the following currency pairs: - NZD/CHF - NZD/USD - GBP/USD 2. Trading Style: - The robot should implement a day trading strategy, focusing on short-term trades. 3. Risk Management: - Maximum drawdown percentage: 10%. - Stop loss settings: Adjustable based on volatility (suggested default: 30 pips). - Take profit settings: Adjustable
I have an existing working MQL5 Expert Advisor and require an experienced MQL5 programmer/trading-system analyst to independently analyse its historical performance. This is NOT initially a request to rewrite the EA or simply optimize parameters. Current strategy: - MetaTrader 5 - M15 timeframe - EMA / ADX / ATR based - Approximately 1,337 historical trades - Gross Profit approximately USD 271,000 - Gross Loss
Zwivhuya
100+ USD
I would like to be part of this trade because i want to help my family out of the hopeless life we are living now . i thoughts going to school will help me get better job but no i am still sitting for us to eat at home i have to sell my body to someone and get pay with that small money i can buy bread and cooldrink for my family that we can not sleep with emyter stomach
Expert advisor for indicator
50+ USD
I need an Expert Advisor that trades by signal of ADX and Moving Average indicators. It must check and correctly process possible errors in trading operations. The main criteria of opening and closing positions , direction of Moving Average, Price of last bar . Set the number of lots to trade as an input parameter
I need an Expert Advisor based on Vantage signals.It must have check and handling of trade operation errors. The main criteria for opening and closing a position: moving average direction the price is higher the previous bar Trade lots is an input parameter
EA to buy 0.5 lots of BTCUSD on MT5 for Exness Broker
100 - 150 USD
I need you to develop an MT5 Expert Advisor (EA) in MQL5 specifically for BTCUSD , primarily trading on the 1-minute timeframe (M1) . The goal is to build a professional, rule-based automated trading system that trades strong impulsive BTCUSD moves in the direction of the trend , while using strict risk and money management. 1. CORE STRATEGY The EA should NOT randomly buy or sell. The basic sequence should be: Trend
Expert Needs to integrate Volume Density ( Ticks Per Point ) Adaptive Volume Baseline ( Apply with experience ) , Order Flow Tick Volume Based ( required integration is for smooth execution ) , Every other requirement already exists by the expert , True Objective : To identify the true transition from Accumulation to Expansion/Distribution leading to Breakout capturing participation while eliminating false breakouts
Advance XAUUSD MT5 INDICATOR
30 - 50 USD
I need a professional XAUUSD signal indicator for MetaTrader 5, written entirely in MQL5 (.mq5). IMPORTANT: This is NOT an auto-trading EA. It must never open, close or modify trades. It only analyzes XAUUSD and generates signals + MT5 push notifications. 1. Multi-timeframe analysis: H4 → H1 → M30 → M15 → M10 → M5 → M1. 2. Detect market structure: - Swing High / Swing Low - BOS - MSS - CHOCH - Bullish/Bearish HTF
Informazioni sul progetto
Budget
30+ USD
Scadenze
da 1 a 2 giorno(i)