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Swing Trading

January 15, 2024

Swing trading is a popular trading strategy that involves taking advantage of short-term price movements or "swings" within a larger trend. Swing traders aim to capture gains by entering and exiting positions over a period of days or weeks, rather than holding positions for months or years like long-term investors.

The main objective of swing trading is to identify and capitalize on short-term price fluctuations, known as swings, which occur as a result of market volatility, news events, or technical indicators. Unlike day trading, which involves making multiple trades within a single day, swing traders typically hold positions for a few days or weeks, allowing them to benefit from larger price movements.

To successfully engage in swing trading, traders must possess a solid understanding of technical analysis, including chart patterns, trend lines, and indicators like moving averages, MACD (Moving Average Convergence Divergence), and RSI (Relative Strength Index). These tools help traders identify potential entry and exit points, as well as determine the strength of a trend and potential reversals.

One of the key principles of swing trading is to follow the overall trend of the market. Swing traders typically trade in the direction of the prevailing trend, whether it is bullish (upward) or bearish (downward). By doing so, they increase their chances of making profitable trades and avoid going against the broader market sentiment.

Swing traders often use a combination of technical and fundamental analysis to identify potential trades. Fundamental analysis involves assessing the financial health and prospects of a company, industry, or economy to determine the underlying value of an asset. This can include analyzing earnings reports, economic data, news events, and industry trends. By combining fundamental analysis with technical analysis, swing traders can gain a more comprehensive view of the market and make informed trading decisions.

Risk management is crucial in swing trading, as it is in any form of trading. Traders must set stop-loss orders to limit potential losses and protect their capital. Stop-loss orders are price levels at which traders exit a trade if the price moves against them. This helps prevent significant losses and ensures that trades are not emotionally driven.

In addition to risk management, proper position sizing is essential in swing trading. Traders should calculate the appropriate position size based on their risk tolerance and the potential reward of the trade. This involves considering the distance between the entry and stop-loss levels and the target price, as well as the trader's account size.

Another aspect of swing trading is timing the market. Swing traders aim to enter trades when the price is at a favorable point, offering a high probability of success. This can be achieved by waiting for price retracements or pullbacks within a trend, where the price temporarily moves against the overall trend before resuming its direction. By buying near support levels during an uptrend or selling near resistance levels during a downtrend, swing traders can improve their entry points and increase the likelihood of profitable trades.

While swing trading can be a profitable strategy, it requires discipline, patience, and continuous learning. Traders must constantly monitor the markets, adapt to changing conditions, and refine their strategies. It is important to remember that not all trades will be winners, and losses are inevitable. However, by adhering to a solid trading plan, managing risk effectively, and avoiding emotional decision-making, swing traders can potentially achieve consistent profits over time.

BY
ChatGPT4

January 18, 2024

Interest in Bitcoin ETFs Falls Fast on the 3rd Day of Trading

Trading activity in the new Bitcoin ETFs fell rapidly yesterday. While several of the ETFs made it into the top 5 most heavily traded ETFs on Friday, interest on Tuesday, when trading resumed after the MLK holiday, the bloom was off the rose.

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January 15, 2024

Bitcoin ETFs Debut with a Splash

The long-awaited Bitcoin ETFs debuted in yesterday's trading, making quite a splash. Three Bitcoin ETFs were among the five most actively traded ETFs: GBTC, IBIT, and FBTC, all trading more than 10 million shares.

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January 15, 2024

Day Trading

Day trading is a trading strategy where traders buy and sell securities within the same trading day taking advantage of short-term price fluctuations in various assets to make quick profits. Day traders aim to capitalize on small price movements by entering and exiting positions multiple times throughout the day.

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January 15, 2024

Day Trading Strategies

Day traders employ a variety of strategies in the quest to make profitable trades. This is a list of the more common ones:

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January 15, 2024

Quantitative Trading

Quantitative trading, also known as algorithmic trading or algo trading, is a method of trading financial assets using advanced mathematical and statistical models. It involves the use of computer algorithms to execute trades based on predefined rules and strategies. This approach to trading has gained significant popularity in recent years, with many institutional investors and hedge funds adopting it as an integral part of their investment strategies.

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January 15, 2024

Swing Trading

Swing trading is a popular trading strategy that involves taking advantage of short-term price movements or "swings" within a larger trend. Swing traders aim to capture gains by entering and exiting positions over a period of days or weeks, rather than holding positions for months or years like long-term investors.

>Read More

January 15, 2024

Algorithmic Trading

The main objective of algorithmic trading is to maximize profits by taking advantage of short-term market inefficiencies. It aims to exploit price discrepancies, liquidity imbalances, and other temporary market conditions that might arise within fractions of a second. By automating the trading process, algorithmic trading eliminates human emotions and biases, enabling faster and more efficient execution of trades.

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January 15, 2024

Trade on MACD-QQQ

This strategy creates a portfolio of QQQ (Invesco Trust Series 1) that is traded in correspondence with logic defined by the Moving Average Convergence/Divergence (MACD) lagging indicator. The MACD strategy is a commonly employed algorithmic trading strategy, and can be calculated using Exponential Moving Averages (EMAs) by hand using the following formulas.

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April 29, 2024

Trade IWB on News Sentiment

This strategy creates a portfolio of IWB (iShares Russell 1000 ETF) that is bought based on the recent news sentiments. The state of the news being reported has an incredible effect on the stock market, as popular reporting agencies can directly increase/decrease people’s optimism about the economy, leading to a snowball effect, of sorts.

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January 17, 2024

Build a Crypto ETF in MachineTrader™

Building custom ETFs using MachineTrader™ visual programming toolkit is easy to do and often an effective way to enhance your portfolio. While technically these aren’t algorithmic trading strategies, you can easily add flows that will optimize the ETF based on performance of the individual assets.

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January 17, 2024

Introducing - Independent Trading Platforms

The latest significant change in the investment world is the rise of what we call, "independent trading platforms" (ITPs). These are software platforms whose user-friendly web and mobile applications provide all of the functionality of trading platforms, but pass the actual trade executions off, through an API, to the registered broker-dealer of the user's choice.

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January 17, 2024

Why MachineTrader™?

Monitoring minute-by-minute (or second-by-second) changes in time series charts of prices is a pretty tedious task. While a number of trading platforms offer off-the-shelf algorithms or bots for automating strategies, we've found that it's hard to make money using an algo that other traders are employing, or worse, other traders have programmed to work against.

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January 17, 2024

Trading Stocks, Cryptos and Pattern Day Trading

You're a newbie to trading and you open your Robinhood account and begin to actively trade fractional shares of Tesla (TSLA). Your first dozen trades of the day work great as you pick the best moments to buy and sell. All of a sudden your account is flagged with a 'pattern day trader' warning.

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