traderize-com

import requests

# Example function to place a simulated trade
def place_trade(api_url, api_key, trade_details):
    headers = {'Authorization': f'Bearer {api_key}'}
    response = requests.post(f'{api_url}/trades', headers=headers, json=trade_details)
    return response.json()

# Trade details
trade_details = {

traderize-com

from EigenLedger import portfolio_analysis, Engine

portfolio = Engine(    
                  start_date= "2018-06-09", #start date for the backtesting
                  portfolio= ["BABA", "PDD", "KO", "AMD","^IXIC"], #assets in your portfolio 
                  weights = [0.2, 0.2, 0.2, 0.2, 0.2], #equal weighting is set by default
                  benchmark = ["SPY"] #SPY is set by default
)

portfolio_analysis(portfolio)

traderize-com

import ch.algotrader.entity.marketData.MarketDataEvent;
import ch.algotrader.entity.trade.Order;
import ch.algotrader.strategy.GenericStrategy;
import ch.algotrader.util.collection.FixedSizeQueue;

public class SMACrossoverStrategy extends GenericStrategy {

    private final FixedSizeQueue<Double> shortWindow = new FixedSizeQueue<>(10);
    private final FixedSizeQueue<Double> longWindow = new FixedSizeQueue<>(30);

traderize-com

using QuantConnect.Algorithm;
using QuantConnect.Indicators;
using QuantConnect.Data.Market;

public class SMACrossoverAlgorithm : QCAlgorithm
{
    private SimpleMovingAverage _smaFast;
    private SimpleMovingAverage _smaSlow;
    private decimal _previous;

traderize-com

class SMACrossoverAlgorithm(QCAlgorithm):
    def Initialize(self):
        self.SetStartDate(2022, 1, 1)
        self.SetEndDate(2022, 12, 31)
        self.AddEquity("SPY", Resolution.Daily)
        self.sma_fast = self.SMA("SPY", 10, Resolution.Daily)
        self.sma_slow = self.SMA("SPY", 30, Resolution.Daily)
        self.previous = None

    def OnData(self, data):