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
please share: Strategy description — entry/exit rules, indicators used, timeframe(s), and instrument(s) (a written explanation, screenshots, or an existing indicator/EA to reference all work) Risk management rules — position sizing method (fixed lot / % risk), stop loss / take profit logic, max drawdown or daily loss limits, and whether martingale/grid/hedging is involved Broker & account details — broker name
GRID/DCA EA for XAUUSD Trading needed
50 - 100 USD
I need a unique grid trading system for XAUUSD that combines entry, controlled two-sided grid expansion, DCA (Dollar Cost Averaging) basket profit control, hedging. Unlike traditional grid EAs that only trade against price, this unique grid system should dynamically build positions in both directions based on market movement, allowing flexible adaptation to changing conditions ie the grid needs to dynamically move
I need an experienced MQL5 developer to create a fully automated MT5 Expert Advisor called Ayoub Gold EA , focused exclusively on XAUUSD (Gold) . Main requirements: Platform: MT5 / MQL5. Fully automated BUY and SELL trading on XAUUSD. Must support broker suffixes such as XAUUSD, XAUUSD.f and XAUUSDm. Trading strategy based mainly on Range Breakout with trend confirmation. EMA, ADX and ATR filters. London/New York
Looking for an experienced Sierra Chart ACSIL/C++ developer to customize an existing footprint chart. I need 3 things: 7-Day ATR – calculate and display a configurable 7-day ATR. Custom Footprint – modify my existing footprint chart to match my preferred layout/data display. Automatic LVN – detect and plot Low Volume Nodes automatically based on volume distribution. I already have a working footprint chart, so no
V3 PRO Auto-Scalper EA
40+ USD
//———————————————————————————————————————————————————————————————————— struct S_MCAV { double matureSum; double totalSum; double value; void Init () { matureSum = 0.0; totalSum = 0.0; value = 0.5; } void AddContext (int ctx) { totalSum += 1.0; if (ctx == 1) matureSum += 1.0; } void ApplyDecay (double rate) { matureSum *= rate; totalSum *= rate; } void Update () {
1. Title Development of a Custom MQL5 Expert Advisor for XAUUSD (MetaTrader 5) 2. Requirements Specification Overview: I am looking for an experienced MQL5 developer to build a robust, fully custom Expert Advisor (EA) for MetaTrader 5 tailored for trading Gold (XAUUSD). Core Specifications & Features: Asset & Timeframe: Designed specifically for XAUUSD. Timeframe should be selectable directly from the EA inputs
Adaptive XAUUSD EA – MT5
30 - 200 USD
Cerco uno sviluppatore MQL5 esperto per sviluppare da zero un Expert Advisor completamente nuovo per XAUUSD su MT5. Non desidero un semplice Expert Advisor basato su indicatori fissi. Desidero un sistema di trading dinamico e adattivo, in grado di adattare il proprio comportamento alle mutevoli condizioni di mercato di XAUUSD. Lo sviluppatore dovrebbe essere libero di combinare qualsiasi tecnica ritenuta opportuna
I am looking for a Senior MQL5 Developer to create a new MetaTrader 5 Expert Advisor from scratch. I will provide a complete Requirements Specification containing objective entry, exit and risk-management rules. This is not a request to copy or decompile an existing product. Project requirements: Clean and modular MQL5 source code. Exact implementation of the supplied strategy. One signal evaluation per configured
NinjaTrader 8 / NinjaScript Phase 1 build: convert an existing Auction Market Theory (AMT) strategy into objective, alert-only decision-support logic. Not a bot, no auto-execution — trades stay manual. Covers NQ/MNQ, ES, CL, MGC using 30-min TPO/Volume Profile context with 5-min confirmation: one 5-min close outside VAH/VAL = acceptance, close back inside = rejection. Dashboard shows bias, auction state, location
Connect chatgpt to ninjatrader
30+ USD
Hi i need help to connect my chat gtp with ninja trader I have all tools. Just need supervision and seeking a professional who can do that for me. This the bridge extension https://crosstrade.io/blog/chatgpt-to-ninjatrader-mcp-walkthrough
Informazioni sul progetto
Budget
30+ USD
Scadenze
da 1 a 2 giorno(i)