Tutti gli ordini
Regolamenti
Guarda come ordinare un robot di trading
Leggi le Regole prima di pubblicare un ordine o di eseguirlo.
Come Ordinare un Robot di Trading in MQL5 e MQL4
Visualizza un esempio di Specifiche dei requisiti necessarie per ordinare un robot
Nuovi ordini nella categoria:
31 - 466 USD
40 - 50 USD
30 - 500 USD
30 - 40 USD
100 - 300 USD
30+ USD
40+ USD
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
We are looking for an expert algorithmic trading developer to build a high-performance, fully automated Custom Expert Advisor (EA) or trading bot. The bot must integrate advanced Smart Money Concepts (SMC) , Inner Circle Trader (ICT) methodologies, and Volume Spread Analysis (VSA) with a high-frequency trading (HFT) style execution and scaling model. The core objective is to program a bot that identifies
I am looking to see if you can convert my pinescript into a NinjaTrader bot so I can get automated trading instead of manually doing it in TradingView i would like to get it to just do the trades for me based on my script. let me know who can do this perfectly
EA: Smart Break-Even & Partial Close Manager
30 - 200 USD
Develop an Expert Advisor for MetaTrader 5 that manages existing positions. Features Automatically detect all open positions. Apply Break-Even after price reaches a configurable profit. Partial Close: Close X% of volume at the first target. Move Stop Loss to Break-Even. ATR Trailing Stop (optional). Magic Number filter. Comment filter. Symbol filter. Trading session filter. Retry mechanism for trade operations
An expert adviser based on MQL5
30+ USD
Requirements Specification Here is an example of Requirements Specification for the development of the MACD Sample Expert Advisor, which is available in the MetaTrader 5 standard package. 1. The idea of the trading system is as follows : market entries are performed when MACD's main and signal lines intersect in the current trend direction . 2. Trend is determined based on the Exponential Moving Average with
JazzDaBot
30+ USD
""" Wick Reversal Strategy — core logic ===================================== Rules (as specified): - Timeframe: 15-minute candles - Entry: candle wick >= WICK_MULTIPLIER x body -> signal candle - long lower wick -> enter LONG at next candle's open - long upper wick -> enter SHORT at next candle's open - Exit: an opposite-direction wick candle forms while in a position - Stop-loss: just beyond the signal candle's
Ninjatrader 8 bot development
30+ USD
Hello, I want a simple bot for NinjaTrader8. I need a bot that operates automatically on Nasdaq (NQ/MNQ). Requirements: open buys and sells following a simple trend strategy, configurable stop loss and take profit, risk per trade of 1 to 2% of capital, if it loses 3% in a day, stop trading until the next day. Compatible with backtesting, delivery of the source code and the working bot in NinjaTrader 8. My initial
a { text-decoration: none; color: #464feb; } tr th, tr td { border: 1px solid #e6e6e6; } tr th { background-color: #f5f5f5; } Project Overview I am looking for an experienced algorithmic trading developer to build a professional Expert Advisor (EA) for MetaTrader 5 and/or cTrader. The objective is to create a robust automated trading system focused exclusively on XAUUSD (Gold) . This project is intended for serious
I'm looking for a skilled Python developer to help expand and improve an existing Python game. The project is already functional, and I need someone who can add new features, improve gameplay mechanics, optimize performance, and maintain clean, well-structured code. Experience with game development in Python is preferred
EA based on 5 mintues timeframe candles
100 - 250 USD
{ "strategy_name": "M5 EMA Scalper", "timeframe": "M5", "indicators": { "ema_fast": 20, "ema_slow": 50, "rsi": 14, "atr": 14 }, "entry_rules": { "buy": [ "EMA20 > EMA50", "Price closes above EMA20", "RSI > 55" ], "sell": [ "EMA20 < EMA50", "Price closes below EMA20", "RSI < 45" ] }, "risk_management": { "risk_per_trade": 1.0, "stop_loss_atr": 1.5, "take_profit_rr": 2.0
Hola, traders e inversores: Desarrollamos soluciones de trading algorítmico para MetaTrader 4 y MetaTrader 5. Creamos bots, indicadores y herramientas a medida que convierten estrategias manuales en sistemas automáticos, configurables y orientados a una gestión de riesgo sólida. Hemos trabajado en automatizaciones que integran entradas y salidas por reglas, cálculo de lotaje, control de drawdown, filtros de horario y
Informazioni sul progetto
Budget
30+ USD
Scadenze
da 1 a 2 giorno(i)