Build trading strategies
with no code
& start earning
Automated Strategies & Backtesting results for VDEM
Here are some VDEM trading strategies along with their past performance. You can validate these strategies (and many more) for free on Vestinda across thousands of assets and many years of historical data.
Automated Trading Strategy: Follow the trend on VDEM
The backtesting results from October 28, 2022 to October 28, 2023 reveal some interesting statistics for the trading strategy. With a profit factor of 1.05, it indicates that for every dollar invested, the strategy yielded a profit of 1.05 dollars. The annualized return on investment (ROI) stands at a modest 0.42%, indicating a small but positive gain over the period. On average, trades were held for two weeks and five days, suggesting a relatively short-term approach. With an average of 0.15 trades per week, the strategy had a low trading frequency. Out of a total of eight closed trades, only 37.5% were winning trades, highlighting a relatively low success rate.
Automated Trading Strategy: Lock and keep profits on VDEM
The backtesting results for the trading strategy from October 28, 2016, to October 28, 2023, show promising statistics. The profit factor stands at 1.29, indicating a positive outcome. The annualized ROI is calculated at 1.97%, suggesting steady returns over the seven-year period. The average holding time for trades is 10 weeks and 4 days, allowing for strategic decision-making. With an average of 0.04 trades per week, the frequency is relatively low. Considering 17 closed trades, the return on investment amounts to 14.08%. Although the winning trades percentage stands at 41.18%, the strategy outperforms buy and hold, generating excess returns of 13.39%. These statistics point to a successful trading strategy.
Automated Trading Strategy: MACD Trend-Following with KAMA and Dojis on VDEM
During the backtesting period from October 28, 2022, to October 28, 2023, the trading strategy demonstrated a profit factor of 1.11, indicating that for every dollar risked, a profit of $1.11 was generated. The annualized return on investment (ROI) stood at a modest 2.28%, suggesting a slow but steady growth in capital. On average, trades were held for approximately 4 days and 1 hour, indicating a short-term approach. With an average of 0.63 trades per week, there was moderate trading activity. A total of 33 trades were closed during the period, with only 33.33% of them being winners. Overall, these statistics highlight the need for further analysis and potential adjustments in the trading strategy.
VDEM's Data-Driven Trading Approach
Quantitative trading, also known as algorithmic trading, can greatly assist in automating the trading of VDEM, the Vanguard FTSE Emerging Markets ETF. This approach relies on mathematical models and data analysis to make informed trading decisions. By using sophisticated algorithms, quantitative trading can quickly analyze large amounts of market data, identify trends and patterns, and execute trades accordingly. This automated process reduces the risk of human error and allows for faster and more efficient trading. Quantitative trading strategies can be tailored to specific market conditions and investment objectives, optimizing returns while minimizing risks. With its ability to process vast amounts of data and execute trades at high speed, quantitative trading can greatly enhance trading efficiency and ultimately improve investment outcomes for VDEM.
VDEM: Unpacking Vanguard's Emerging Markets Investment Option.
VDEM, or Vanguard FTSE Emerging Markets UCITS ETF, is a one-of-a-kind asset under Vanguard Funds Public Limited Company. This unique investment offers investors exposure to the emerging markets across the globe. With VDEM, investors can tap into the potential growth and diversification opportunities provided by economies on the rise. The fund tracks the performance of the FTSE Emerging Index, which encompasses a broad range of stocks from emerging market countries. This asset offers a cost-effective and efficient way for investors to gain access to a diverse set of emerging markets, from China and India to Brazil and Russia, among others. VDEM allows investors to participate in the long-term growth prospects of these markets, while also benefiting from the expertise and reputation of Vanguard, a trusted global investment management company.
Mitigating VDEM Risks: Effective Management Strategies
Risk management is crucial for VDEM to mitigate potential negative outcomes. VDEM employs a comprehensive approach that includes identifying, assessing, and prioritizing risks. By conducting rigorous analysis and regular monitoring, VDEM strives to proactively identify emerging risks. This enables them to take appropriate preventive measures and implement effective risk mitigation strategies. VDEM places a strong emphasis on diversification, spreading investments across a wide range of emerging market assets. Additionally, they utilize advanced risk modeling techniques to ensure optimal risk-return trade-offs. VDEM's risk management framework also encompasses ongoing review and evaluation of risk exposure. By continuously refining their risk management strategies, VDEM aims to deliver long-term value to investors while safeguarding their capital.
Testing VDEM Trading Strategies
Backtesting trading strategies for VDEM is a crucial step for investors. By testing historical data against a defined strategy, investors can evaluate its performance in different market scenarios. It helps in understanding the strengths and weaknesses of the strategy. Backtesting allows investors to assess risk, determine potential returns, and make informed decisions. The process involves analyzing various factors such as entry and exit points, stop-loss levels, and risk management techniques. It is essential to consider transaction costs, slippage, and other variables while backtesting. Backtesting provides a valuable opportunity to fine-tune trading strategies and optimize portfolio performance. It enables investors to gain confidence in their trading approach, enhancing their potential for success in the VDEM market.
Popular VDEM Trading Tactics
Common VDEM trading strategies include trend following, mean reversion, and momentum investing.
Trend following strategy involves buying VDEM when its price is in an upward trend and selling when it is in a downward trend.
Mean reversion strategy involves buying VDEM when its price deviates significantly from its historical average and selling when the price returns to the average.
Momentum investing strategy involves buying VDEM when its price is showing strong momentum and selling when the momentum weakens.
Traders also employ a combination of these strategies, depending on market conditions and their risk appetite.
It's important to note that these strategies are not foolproof and should be used as part of a well-diversified investment portfolio.
Copy Crypto trading
Build trading strategies
with no code
Backtest trading strategies
on Crypto, Forex, Stocks, etc.
Risk-free Paper Trading
Automate trading strategies
with Live Trading
Frequently Asked Questions
Leverage trading refers to a strategy in which traders use borrowed funds to magnify their potential profits. By utilizing leverage, traders can control larger positions in the market with a smaller amount of capital. This is achieved by borrowing funds from a broker, allowing traders to increase their market exposure beyond their initial investment. However, leverage trading involves a higher level of risk, as losses are also magnified. It is crucial to have a solid understanding of the market and risk management strategies to effectively engage in leverage trading.
For beginners, a long-term, diversified investment strategy is often recommended. This strategy involves buying and holding a mix of different assets, such as stocks, bonds, and exchange-traded funds (ETFs), with the goal of growing your investment over time. This approach allows beginners to minimize the risks associated with short-term trading and volatility, focusing on the long-term potential of the market. Additionally, learning about fundamental analysis and identifying quality companies can be beneficial for making informed investment decisions. While it may not provide quick gains, a diversified strategy offers a solid foundation for beginners to develop their trading skills and gain familiarity with the market.
There are several effective automated trading strategies for VDEM (Volatile Designated E-Mini). First, momentum trading can be utilized, where positions are taken based on the direction and strength of price trends. Another approach is mean reversion, involving buying when the price is below its average and selling when it is above. Breakout trading is also effective, focusing on entering positions when price breaks above or below key levels.
Furthermore, statistical arbitrage, which involves exploiting price divergences between related securities, can prove profitable for VDEM trading. Additionally, pattern recognition strategies, like using technical indicators or candlestick patterns, can provide valuable entry and exit signals. It is important to note that assessing market conditions and adapting strategies accordingly is crucial for successful automated trading in VDEM.
Algorithmic trading can indeed be profitable. By using sophisticated algorithms to execute trades at high speeds and exploit market inefficiencies, traders can potentially generate profits. This approach eliminates human emotion from the decision-making process and allows for instantaneous reactions to market conditions. However, it is important to note that success in algorithmic trading requires robust strategies, careful risk management, and continuous monitoring. Profitability may also be influenced by market conditions, competition, and the quality of the algorithm itself. Therefore, while algorithmic trading has the potential for profitability, it is not guaranteed and requires ongoing refinement and adaptation.
In conclusion, trading strategies for VDEM can greatly enhance the potential returns of this popular asset. By incorporating technical analysis, automated trading strategies, and sound risk management, investors can optimize their investment potential. Quantitative trading offers an efficient and automated approach to trading VDEM, utilizing mathematical models and data analysis to make informed decisions. Risk management is crucial to safeguard investors' capital and mitigate potential negative outcomes. Backtesting trading strategies allows investors to evaluate performance and fine-tune their approach. Additionally, common VDEM trading strategies such as trend following, mean reversion, and momentum investing can be employed to maximize returns. However, it is important to remember that these strategies should be part of a well-diversified investment portfolio.