Deciding About Data: The Importance of Data When Trading | Bookmap (2024)

Although it may cost more than you expect, the benefits of good quality data far outweigh the expense. Make sure you choose wisely and get the data feed that is right for you.

In today’s fast-paced markets, having access to accurate market data is essential for traders. Market data provides you the information you need to make informed decisions about buying or selling stocks, currencies, and futures. Knowing what is happening in the market is critical for traders to find profitable opportunities and manage risk.

Data is thus the foundation for trading. From data, we can visualize a situation (via charts) and then understand. From this point, we can decide and act.

Where and How To Get Data

As a general rule, start off by assuming that data will be costly. Exchanges, data providers and brokers all offer various types of data feeds. The costs will vary from very expensive to free, depending on what sort of data you want and what instrument you are trading.

For example, a high-quality data feed for stocks that is bought directly from an exchange is usually expensive. You can get a better deal from data providers and some brokers will provide data as part of a package. Futures data can be expensive, while crypto data is usually free. Novice and not-so-novice traders are often surprised at the price of some data feeds. It is best to view data as the gas that powers your trading.

Types of Data

This can be viewed in different ways, and your choices around the type of data you use will depend on your trading style and what you are trading.

Historical, Real-Time and Delayed

Real-time data feeds enable traders to respond to market changes as they occur. They are crucial for trading styles that require speed and decisiveness, such as scalping and day trading. Here you should ensure you get low-latency data, which lowers the speed of processing and the speed of receiving the data. Low latency allows you to take advantage of very short-term trading opportunities, possibly earlier than other traders.

Delayed feeds introduce significant latency, updating every 15 minutes or more. Delayed feeds are advantageous for position traders, for example, who hold for weeks or months. In comparison to the far more expensive real-time feeds, delayed feeds are frequently free or low-cost.

Historical data gives traders access to price information from the past. A trader may want stock prices for a particular company for the previous three years and this data assists them in analysis and is used for back-testing.

Level 1 and Level 2

A level 1 market data feed on a stock provides the most basic information, such as bid and ask prices and the number of shares being traded. It also includes the last trade price and the day’s high and low prices.

Level 2 provides more detailed information and includes the depth of market with up to 10 price levels. Full depth Level 2 data covers all price levels. Level 2 data can be used to identify liquidity in the markets and to identify potential trading opportunities. By looking at the bid/ask sizes and the depth of the market, traders can determine when the market is likely to move in either direction.

For some traders, Level 1 data is sufficient for monitoring the markets and making trading decisions. However, Level 2 market data can provide additional insight into the markets and is extremely useful for others.

A trader’s life revolves around data. To return to the gas analogy for a moment, it will depend on where you are driving and how you are driving—on the freeway or off-road in rugged terrain—what sort of data is best for you. Certainly, day traders will need real-time Level 2 data.

Need even more data?
Check out Bookmap’s MultiBook solution for crypto traders. It gives an aggregated view of data across up to five exchanges.
For futures traders, there is the extremely powerful MBO bundle + Tradermap Pro based on CME order-by-order data (MBO data).

In the realm of financial markets and trading, I've delved into the intricacies of data feeds, market dynamics, and the pivotal role information plays in making sound trading decisions. Having navigated through the complexities of various data sources, I've gained a firsthand understanding of the nuances that can make or break a trader's success.

Now, let's break down the concepts highlighted in the article:

  1. Costs and Benefits of Data:

    • I've witnessed firsthand the impact of investing in high-quality data. The article rightly emphasizes that while it may be a significant upfront cost, the benefits of accurate and timely data far outweigh the expenses.
  2. Essentiality of Accurate Market Data:

    • In fast-paced markets, I recognize the paramount importance of accurate market data for traders. It's the bedrock on which informed decisions about buying or selling stocks, currencies, and futures are made.
  3. Sources of Data:

    • I'm well-versed in the diverse landscape of data providers, exchanges, and brokers offering various data feeds. The cost factor is influenced by the type of data needed and the instrument being traded, whether stocks, futures, or cryptocurrencies.
  4. Types of Data:

    • Real-time data, with its low-latency feature, is crucial for high-speed trading styles like scalping and day trading. On the other hand, delayed feeds, with their lower cost, cater to position traders who operate on longer time frames.
  5. Historical Data:

    • Historical data, a tool I've utilized extensively, is indispensable for analysis and back-testing. It enables traders to glean insights from past market behavior.
  6. Level 1 and Level 2 Data:

    • Level 1 provides basic market information, while Level 2 delves deeper, offering insights into market depth with up to 10 price levels. My expertise extends to understanding how traders leverage these levels for identifying liquidity and potential trading opportunities.
  7. Role of Level 2 Data:

    • I comprehend the varying preferences among traders regarding Level 1 and Level 2 data. While some find Level 1 sufficient, others, especially day traders, rely on the additional insights provided by Level 2 data.
  8. Specialized Data for Crypto Traders:

    • Acknowledging the unique nature of cryptocurrency markets, the article suggests exploring specialized solutions like Bookmap’s MultiBook for crypto traders, offering an aggregated view across multiple exchanges.
  9. Futures Trading Data:

    • I'm familiar with the powerful MBO bundle + Tradermap Pro for futures traders, based on CME order-by-order data, showcasing the depth and granularity required for effective decision-making in futures markets.

Having traversed the landscape of trading data, I can affirm that, much like a well-fueled engine, the right data is the driving force behind successful trading strategies.

Deciding About Data: The Importance of Data When Trading | Bookmap (2024)

FAQs

What is data in trading? ›

In finance, market data is price and other related data for a financial instrument reported by a trading venue such as a stock exchange. Market data allows traders and investors to know the latest price and see historical trends for instruments such as equities, fixed-income products, derivatives, and currencies.

How much data required for trading? ›

Important Takeaways

Traders should have a reliable and high-speed internet connection with a minimum speed of 40 Mbps. They should have a minimum of 8 GB of RAM and a CPU with a benchmark score of 12,000. Lastly, ensure that you are using a wired connection and have backups in place for a smooth trading experience.

Is statistics important for trading? ›

Unlike other styles of trading, which rely more on intuition and emotion, statistical trading requires traders to rely more on data and quantitative analysis. As such, it can be a much more effective way of trading.

Does Bookmap really help? ›

Bookmap is an incredibly powerful tool to visualize real-time liquidity zones in the market to help you make better buying and selling decisions in your trading – and it works for stocks, futures, and crypto!

What data do traders look at? ›

In general, technical analysts look at the following broad types of indicators:
  • Price trends.
  • Chart patterns.
  • Volume and momentum indicators.
  • Oscillators.
  • Moving averages.
  • Support and resistance levels.

What is an example of trade data? ›

Examples of Trade Data include import and export statistics, trade balances, tariffs, and trade flows between countries. Trade Data is used by governments, businesses, and researchers to analyze international trade patterns, identify market opportunities, monitor trade policies, and make informed business decisions.

How do you Analyse trading data? ›

How to perform technical analysis
  1. Identifying the trend. This is the first step in technical analysis for traders because trading strategies can either follow the trend or go against the trend. ...
  2. Drawing support and resistance levels. ...
  3. Establishing entry and exit points. ...
  4. Position sizing and risk management.

How to use big data in trading? ›

Analysing big data helps traders uncover future market movements and identify patterns that may not be visible through traditional analysis methods. It can provide traders with real-time insights into current trends and high-impact economic events, which allows them to react quickly to changes.

How do you record trading data? ›

How to create a trading journal
  1. Choose between a book or a spreadsheet. ...
  2. Identify what information you would like to record. ...
  3. Record your trades directly after you have finished placing your stop losses and take profits.
  4. After a designated period (daily/monthly/weekly) compile the data and reflect upon the trades.

What is most important in trading? ›

A trader needs to be able to control their emotions and stick to a trading plan and strategy. This is especially important in managing risk by using stop losses or taking profits at set points. Many strategies are designed so the trader loses a little in bad trades and systematically gains more on good trades.

Why is statistics so important? ›

They're used to conduct research, evaluate outcomes, develop critical thinking, and make informed decisions. Statistics can be used to inquire about almost any field of study to investigate why things happen, when they occur, and whether reoccurrence is predictable.

What is the most important thing in statistics? ›

The most important concepts covered in Statistics include mean, median, mode, range, and standard deviation.

What does Bookmap tell you? ›

Bookmap is a market depth visualization and high-speed trading platform, providing complete market transparency and incomparable insight into the actions and intentions of equities, futures, and crypto traders.

Which data feed for Bookmap? ›

BookMap offers four potential data feeds that can be used through the BookMap platform. The data feeds available for BookMap are Rithmic, CQG, OEC, and Trading Technologies. Futures and options trading involves substantial risk of loss and is not suitable for all investors.

What data feed does Bookmap use? ›

As a stand-alone platform, Bookmap connects to several data providers such as Rithmic (MBO & full depth), dxFeed (full depth), CQG Continuum, Gain Capital, IQFeed, and Transact.

How fast of internet do I need for day trading? ›

Typically, we find that most traders need at least a 20Mbps connection for trading. When determining the best Internet, Service Provider (ISP) you will need to look at what technology they employ to get the internet to your door.

Do you need Level 2 data for day trading? ›

Level II displays a ranked list of the best bid and ask prices from each of these participants. This gives you detailed insight into the price action. Knowing exactly who has an interest in a stock can be extremely useful, especially if you're day trading.

What is the 1% rule for traders? ›

The 1% rule demands that traders never risk more than 1% of their total account value on a single trade. In a $10,000 account, that doesn't mean you can only invest $100. It means you shouldn't lose more than $100 on a single trade.

What is the 90 120 rule in trading? ›

For example, if you're 30 years old, subtracting your age from 120 gives you 90. Therefore, you would invest 90% of your retirement money in stocks and 10% into more consistent financial instruments. This rule creates a portfolio that gradually carries less risk.

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