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
Pivot Reverse
50+ USD
Basic rules, sell at R3, buy at S3, entry criteria is bullish candle close after price touched S3, bearish candle close after price touched R3, fixed lot size, trade closes in profit when price hits current days pivot point or follow days pivot point, price closes in loss when price closes above or below next days R1 or S1 the close in loss. Basic rules for now but profitable strategy. Will like to optimize profits
Hi, can you define entry conditions based on 100 or 200 trades? If you need more history, i can give you more trades. It is EURUSD with great results! If you can do it, contact me
The Ultimate Trading Bot
30+ USD
take your time better make it for days and have good bot than never benefits both of us. Make the bot have zero errors and backtest it for a 2 year period
Wise Legend
30 - 500 USD
I want this robot to alert me on a good entry point on the trading flat form ether to buy or to sell. And also alert me when to close the market. And alert me on market continuations
I have an existing MT5 Expert Advisor with the original MQ5 source code. I need an experienced MQL5 developer to review, debug and professionally improve the existing EA, not build an unrelated EA from scratch. The EA is mainly for XAUUSD and already contains entry signals, EMA filters, automatic lot sizing, basket profit management, spread/margin protection, news filtering and recovery logic. The main problem is the
Exact Pine Script Conversion: The EA must replicate my Pine Script exactly — including Support/Resistance, Liquidity Grab/Sweep, 30 EMA, Entry, SL, TP, Partial Booking and Breakeven . No assumptions or changes to the logic. Accurate Entries: The EA must enter exactly according to the Pine Script conditions, including the correct candle and price level after the Support/Resistance or Liquidity Sweep setup. SL & TP: SL
I buy EA for USDEUR or XAUUSD for FTMO with proven backtest. Send me images with backtest reports where daily max dd is 1% on 200k account. I can buy several eas if you have them with proofs. Need images of backtesting for 5 years
Cerco uno sviluppatore MQL5 esperto per lavorare su un Expert Advisor (EA) XAUUSD per MetaTrader 5 già esistente , versione attuale XAU_V59.mq5 . L'obiettivo è modificare, correggere e sviluppare il codice esistente senza stravolgere la logica già presente , mantenendo le regole ei parametri già definiti, salvo le modifiche espressamente richieste. REQUISITI FONDAMENTALI Il codice deve essere scritto in MQL5 nativo e
I need an MT5 Expert Advisor for a mean-reversion strategy on EURUSD: single entry at local price extremes, fixed stop loss and take profit, no grid and no averaging. Position size must be calculated automatically so that risk per trade is capped at a fixed USD amount, with a daily loss limit and a pause after consecutive losses. I will send the full specification — entry conditions, filters and all input parameters
Create EA based on indicator, Basic Harmonic Pattern
60 - 100 USD
I trade NAS 100 using Harmonic Patterns. I want to create a MT5 EA to trade based on this indicator: https://www.mql5.com/en/market/product/78325?source=Site +Market+MT5+Indicator+Search+Rating006%3abasic+harmonic+patterns I want the EA to have the same take profit levels as indicator: TP1, TP2, TP3 (select in inputs which TP to use). The EA should also use the same Stop Loss as indicator, with the option to adjust
Informazioni sul progetto
Budget
30+ USD
Scadenze
da 1 a 2 giorno(i)