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
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
Gold robot
30 - 1000 USD
Hello everyone, I’m looking for a developer who has an algorithm in their arsenal that generates quick profits over the long term. I’m interested in a scalping expert advisor—it can be a one-shot, averaging, or grid strategy, with or without TP/SL. Please share your ideas and results; I’ll consider all options. The most important thing is the result. Good luck
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
Hi. I am looking for an experienced MQL5 developer for an advanced XAUUSD MT5 indicator. Before choosing a developer, I would like to see a small proof-of-concept or an example of a similar indicator you have already developed. My final indicator must be written from scratch in MQL5 and I must receive the complete .mq5 source code + compiled .ex5 . Main requirements: XAUUSD MT5 / MQL5 Indicator only — NO AutoTrading
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
We are looking for an experienced MQL5 developer who also has real trading experience to build our existing trading strategy into a fully automated MT5 Expert Advisor (EA). We already have our entry and exit trading rules documented . We are not looking for someone to invent a strategy for us. We need someone who understands trading well enough to understand our rules, discuss them with us in normal trading terms
i have indicator for Trading View, also copy for NT, i need someone to improve and check the NT version (indicator is simple is volume density koncept)…. when i put same settings on TV version and NT version i have diffrerent results, but this can be because diffrent market data or fact that TV sending tick info in blocks , not tick by tick like NT8 on both. I(ndicator base on counting volume) so besied that is it
Purpose Develop a transparent and conservative Expert Advisor for MetaTrader 5. Profit is not guaranteed; acceptance is based on correct implementation, risk controls and reproducible testing. 1. Platform and instruments - Native MQL5 Expert Advisor for MetaTrader 5. - Symbols: EURUSD and USDJPY. - Working timeframe: H1. Higher-timeframe trend filter: H4. - Must support standard broker symbol suffixes/prefixes and
AI-Powered Forex Trading EA for MetaTrader 5
700 - 1500 USD
I need a professional AI-assisted Forex trading Expert Advisor (EA) for MetaTrader 5. The EA should not be based on a simple single indicator strategy. I want a robust multi-factor trading system that can analyze market conditions, trend, momentum, volatility, price action and risk before entering a trade. Requirements: Forex trading on MT5 Automated analysis and trade execution Dynamic entry and exit decisions Stop
Informazioni sul progetto
Budget
30+ USD
Scadenze
da 1 a 2 giorno(i)