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The year 2023 saw significant highs and lowers for crypto investors. The market is volatile and it’s worth learning how to trade Bitcoin.

Imagine feeling overwhelmed by the rapid changes in Bitcoin’s prices. To help you get started, here is a brief overview of the basics of trading Bitcoin.

Understand the Terminology

Bitcoin can be confusing if you’re new to the technology. There are many buzzwords out there, so it is important to know what they mean.

Platforms like [bybitdotcom] can be a great source of information for both novice and experienced traders. Although terms such as “double expenditure” and “blockchain”, may seem difficult to explain to novice investors, they are crucial to know if you are serious about investing.

Do Your Assignment

It takes a lot of research to become a successful Bitcoin trader. Good knowledge of the market is essential for a successful trade. You must have a solid understanding of the market, regardless of whether you’re a novice or an expert trader.

Solid market research is the foundation of any successful business. Unfortunately, the bitcoin market can make it more complicated than usual. Because there are few reliable sources for market data, this is why it can be more complicated. The only way to be a successful trader of bitcoin is to do your research and learn the market.

No matter your strategy, it is important to do your research and understand what you are doing. You will be better equipped to deal with any problems that might arise.

Like any other financial instrument, trading bitcoin takes time. However, you can start immediately.

Begin with A Small Budget

It is great to invest in bitcoin. Our third dump for bitcoin trading is to be cautious and start small. As a beginner investor, the last thing you want is to invest in a market or asset that you don’t fully understand.

Choose A Safe Wallet

You become a participant in the digital economy by investing in bitcoin. This revolutionizes how we spend and transfer money. We used to be limited to PayPal and Venmo, which rely on a central system that has a middleman to facilitate transactions.

Both the sender and the receiver find the middleman process time-consuming, costly, and risky.

With the right wallet, bitcoin is a secure way to store assets. There are many options, but safety is the most important consideration when choosing a wallet.

New traders should trade with a trusted broker and use the wallet provided by the broker. Your needs and preferences will determine which wallet to choose. You will need to decide which wallet is right for you if you want to create your own wallet.

Also read:

Best CRM software for 2023

Determine and Understand Your Trading Strategy

Every trader is different and each uses a different trading strategy. It is crucial to choose the right style for you in order to succeed.

It is crucial to choose the right strategy for your trading journey. You will be able to trade with real money and take your trading to the next level. Your strategy will define you as a trader.

Hold On Dear Life (HODL) Bitcoin

Bitcoin ownership is a great way of capturing the rising demand and price. However, traders are often confused about whether to buy and hold the currency or day trade it.

The buy-and-hold strategy is the best way to invest in Bitcoin. The best passive way to invest in Bitcoin is through the buy-and-hold strategy. This strategy involves an investor buying Bitcoin and holding them until they reach the desired price. The investor will then not sell Bitcoin until the price reaches the desired level.

It’s a combination of the stock market and gambling. You can make a lot of money if you’re a skilled and lucky gambler.

Bitcoin can be a profitable investment for many investors. They can hold onto the coins and expect them to rise in value over time. Although the market is unpredictable and difficult to predict, many investors find this a viable strategy for long-term investing.

They can avoid market crashes or other problems that could cause financial difficulties for investors. If done correctly, the buy-and-hold strategy can provide a great return on investment in bull and bear markets.

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Impacts Of Bitcoin Trading In Louisiana

The rise of Bitcoin trading has also had an impact on crime rates in Louisiana. According to data from the Louisiana State Police, the number of reported crimes related to Bitcoin increased from just two in 2024 to 27 in 2023. While the majority of these crimes were fraud-related, there were also a number of thefts and robberies that took place as well.

While the impacts of Bitcoin trading on the Louisiana economy have been mostly positive, there are some concerns about the potential for negative consequences as well. For example, if the value of Bitcoin were to suddenly drop, it could lead to a decrease in activity and jobs in the state. Additionally, if more people began using Bitcoin for illegal purposes, it could put additional strain on law enforcement resources.

Overall, the impacts of Bitcoin trading in Louisiana have been mostly positive. The state has seen a boom in Bitcoin-related businesses, and the number of people trading Bitcoin has increased dramatically. This increase in activity has led to more jobs and more money being injected into the local economy. However, there are some concerns about the potential for negative consequences as well. It is important to monitor the situation closely to ensure that any negative effects are minimized.

Bitcoin trading in Louisiana has grown significantly in recent years. With more than $1.4 billion worth of Bitcoin traded in the state in 2023, Louisiana ranks as one of the top 10 states for Bitcoin trading activity.

The rise in Bitcoin trading activity has had a positive impact on the state economy. Louisiana businesses have benefited from increased customer traffic and investment, and the state has collected millions of dollars in tax revenue from Bitcoin trading.

The growth of Bitcoin trading in Louisiana has also created jobs. Hundreds of Louisianans are now employed by Bitcoin exchanges, businesses that facilitate Bitcoin trading, and other related industries.

The benefits of Bitcoin trading extend beyond the state economy. Bitcoin traders in Louisiana have helped to make the state a hub for


innovation. Louisiana is home to several Bitcoin startups, and its exchanges are among the most popular in the world.

The rise of Bitcoin trading in Louisiana has been a boon for the state economy. With more than $1.4 billion worth of Bitcoin traded in the state in 2023, Louisiana ranks as one of the top 10 states for Bitcoin trading activity. The growth of Bitcoin trading in Louisiana has benefited businesses, generated tax revenue, and created jobs. Moreover, Louisiana’s status as a hub for cryptocurrency innovation has been boosted by the rise of Bitcoin trading in the state.

Bitcoin trading can have a positive impact on Louisiana’s economy. Bitcoin trading can provide a way for people to invest in Louisiana businesses and entrepreneurs. Bitcoin trading can also help to create jobs in Louisiana. Bitcoin trading can help to grow the state’s tax base and bring in more revenue for the state. Bitcoin trading can also help to attract new businesses to Louisiana. Overall, Bitcoin trading can have a positive impact on Louisiana’s economy.

Some of the potential negative impacts of Bitcoin trading in Louisiana include:

Bitcoin trading could lead to more money being brought into the state that is not subject to taxation. This could reduce the amount of revenue that the state collects in taxes.

Bitcoin trading could also lead to more crime. Criminals may use Bitcoin to buy and sell illegal goods and services.

If Bitcoin becomes widely used, it could destabilize the traditional banking system. This could lead to a loss of confidence in the banking system and an increase in inflation.

Overall, Bitcoin trading can have both positive and negative impacts on Louisiana’s economy. The state will need to carefully consider these impacts before deciding whether or not to allow Bitcoin trading within its borders.

Bitcoin trading activity has picked up in Louisiana in recent months, as more and more investors have become interested in digital currency. While some have praised Bitcoin for its potential to revolutionize finance, others have raised concerns about its volatile nature and lack of regulation.

Beginner’s Guide To Universal Approximation Theorem


This article puts forth one explanation – the universal approximation theorem.

Let’s start with defining what it is. In simple words, the universal approximation theorem says that neural networks can approximate any function. Now, this is powerful. Because, what this means is that any task that can be thought of as a function computation, can be performed/computed by the neural networks. And almost any task that neural network does today is a function computation – be it language translation, caption generation, speech to text, etc. If you ask, how many layers will be required for any function computation? The answer is only 1.

In this article, we will try and understand why the theorem is true.


There are two important facts to be noted.

1. It is important to realize that the word used is approximate. This means that the function computed is not exact. However, this approximation can be improved as the number of computation units i.e. neurons are increased in the layer and it can be fit to the desired accuracy.

2. The function we compute this way are continuous functions. The generality does not hold for discontinuous functions. However, more often than not, continuous functions prove to be a good enough substitute for discontinuous functions, and therefore, the neural networks can work.

Therefore, let’s go ahead and understand this very important theorem. Before jumping to the visual proof though, let us have a look at a perceptron – the basic unit of computation.


A perceptron can be understood as the basic computation unit of neural networks.


In the above diagram, inputs xi through xn is multiplied with their respective weights wi through wn . This is what forms the weighted inputs which are then summed up (Σ wi xi). Next, this sum passes through a threshold/activation function which functions as an on/off switch. It allows the neuron to fire if the value of the sum is greater than a certain threshold otherwise the input is inhibited. This is the final value that constitutes the output. Activation functions are also the magical ingredient of non-linearity without which, a perceptron and eventually, the neural network would just be a linear combination of inputs. We will use the activation function sigmoid to understand the basics.


We intend to output 1 for inputs greater than a threshold and 0 for inputs less than the threshold. A sigmoid function does exactly that.

But, there’s a problem- the slope of the sigmoid function. In the output layer, we intend to add up outputs of hidden layer neurons. It will be easier to work with adding integers directly than adding the real numbered outputs of the sigmoid function. Therefore, we will need a step function. Turns out, when applied enough weight, the sigmoid function can be tuned to behave just like a step function. So, to make our lives easier, we will do just that.

The weight 1000 seems a good choice. Adding the bias will help shift the curve to the value of x we intend. Since, we have confirmed for ourselves, from here on in the article, we will treat the outputs from individual neurons in the hidden layer as if by a step function.


Let’s start computing functions with a single perceptron in the hidden layer ( hidden layers are the layers except for the input and output layers ).

Let us plot a boolean AND function just to try (it is not related to proof). Both the domain and range of this function are the boolean values {0,1}. In the output ( the bigger circle) the inputs are getting added. This neuron will fire only if both the inputs it receives are 1 otherwise it won’t. By firing, we mean the output is 1, and by not firing we mean, the output is 0.

So, we know how to plot a function. Moving on, let us plot a function using perceptron which outputs 1 on the input being greater than a threshold value T1 and 0 on being less than that. As described in the cases of the previous section, we will have to assign a high weight value and a bias T1 to get the following graph.

Since we have brushed up the basics, let’s move on to understanding the visual proof of the universal approximation theorem. This proof follows closely the visual proof provided by Michael Nilson in his textbook on Neural networks, the link to which is provided in the references section.

What if we want to plot the function wherein 1 is output only when the input value lies between T1 and T2 and in all other cases, the value that is output is 0? For accomplishing this, we will need two perceptrons accepting the same input but with different thresholds as shown here. The network of 2 perceptrons forms an MLP – multi-layer perceptron. Note that the output layer has additive activation yet.

This graph seems like a rectangle. In the face of a continuous function, many rectangles like this can be combined of varying heights to suit the boundary of the function. In terms of architecture, several perceptrons can be stacked together to achieve this function.

This is the approximation of the function we were talking about.

But wait, whatever we have seen till now is only the combination of weighted inputs. We never passed it through the sigmoid function of the final neuron (In the above image, the bigger circle has addition as its function and is never followed by sigmoid). So? It’s easy. Assuming the bias of the final output neuron is 0, we need this hidden layer to calculate σ -1 of the original function. The inverse of a function gives the original value for which the function gave an output. Or in other words, the important property of inverses is:

f(g(x)) = g(f(x)) = x where f(x) is inverse of g(x) ( also denoted by g-1(x) ).

Therefore, σ -1( σ(y) ) = σ ( σ-1(y) ) = y where y is the original function we intend to compute.

So the hidden layers instead compute the inverted function and the final activation inverts it back to the original. The inverted function is still a function and can be approximated using the idea of rectangles described above.

For any continuous function, this approach can be adopted. All the stacked perceptrons form, however, only a single layer in the neural network. The purpose is achieved!

Thus, we establish a visual proof to the universal approximation theorem in two dimensions. This proof stands true for the higher dimensions too, wherein visualization becomes difficult but the concept remains the same.


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Beginner’s Guide To Get A Data Science Internship

This article was published as a part of the Data Science Blogathon.


Generally whoever is pursuing data science would want exposure, an opportunity in this field to feel right, motivated in moving forward, and becoming a renowned data scientist. One of the biggest and meaningful opportunities a student can get in this field is being opted as a Data scientist intern. There are other training and tasks that you can do to sharpen and strengthen your profile/resume but as I am a Data Scientist Intern starting from the month of February 2023, I will share with you my thoughts, the journey that I took; to at least get eligible for this post.

About my Phase

To start off, let me make this very clear that I am not some tech genius, who is on the computer coding from class 6 or 8 or even 11. I am an artist and have always been one, singing for the past 8 years, doing theatre for the past 7 years, dancing classical and lyrical, sketching, and all kind of creative skills similar to these most popular art forms. So definitely, I was behind most of my peers during the initial phase of my computer science engineering at my university (UPES). Throughout the whole first year, I was doing average not anything good enough.

Then comes the second year, the time when I started looking for things that interest me in the technical field. I shortlisted Mobile app development and artificial intelligence, Mobile app dev; because it seemed really cool, I thought I could make those apps that people will use in their daily lives on their phones, and Artificial intelligence because secretly I have been in love with human psychology for a long time so I used to study a lot about it on my own, and when I encountered that people have started putting together the functioning of a neuron in technology (Neural Network). I felt a chill down my spine from excitement. I gave both these fields their individual attention and time.

Seed is Sown

We all at some point in time face such dilemmas, a choice that we don’t know how to make, For me, the deciding factor became my unease feeling when I couldn’t satisfy the curiosity to know more about neural networks and was doing mobile app dev at that time. Once I realized that mobile app is not my priority looking at my excitement for AI, I took a U-turn from app dev and started my first course on Neural Network, I didn’t do any machine learning beforehand cause didn’t know much about it Therefore started straight from Neural Networks with Pytorch. Believe me, I really enjoyed learning about the theory on Neural nets and Deep learning in general but when it came to coding with Pytorch, I couldn’t understand any of its functioning, I had to memorize when, where and which functions to use while coding neural nets to satisfy myself that I know how to code a neural network.


Then came the Covid-19‘s lockdown (22nd March 2023), Wow! what a blessing for me. I already had this big flame lit up inside me to study Deep learning and when I got stuck at my PG in Dehradun due to lockdown, I created a routine so tight, a habit so consistent that I used to study and code for 12-14 hours a day. This was the first time in my life I was enjoying studying so much that all those hours seemed like nothing that could exhaust me, this perseverance was maintained till February of 2023 and things changed after I got my Intern as a Data Scientist for a wonderful Hospitality Start-Up: “Upswing Cognitive Hospitality Solutions”.

Here are the things that I did during my “Zone” (as I like to call it referencing the word from psychology) and think will help you make your skills in Data Science and Machine learning really sharp and useful.

1. Create a Map for yourself

As I told you before my start was off, I started with Deep learning where instead I should have picked a path from basics to Advance, this way your brain learns step by step, and things are understood concretely. So, take your time and discover different directions that are possible with Data Science, machine learning chúng tôi There will be plenty of paths possible but don’t get very particular with all of them; just segment things of your interest (in my case It was Deep learning with Data Science) into basics, Intermediate, Advanced.

Start with basic things and stay on track, first cover all the basic topics of your interest and then solve problems based on those topics without any help. First, you must feel comfortable with what you are currently doing and then make a shift in terms of the difficulty of topics.

2. Keep developing other skills besides this in parallel

Adding ‘Scientist’ at the back of ‘Data’ is not particularly something that you can do after learning few libraries in Python or R or any other data science supporting language. A data scientist must know how to integrate different technologies to achieve the final outcome of the problem. What I mean by this that, you should be familiar with Databases, Git, Github, Deployment related Tech, may it be basic web dev to host your application online or docker to make a container and deploy it on the cloud and stuff.

I am not asking you to learn everything, if your end goal is something different than all this, discover things that are required for your goal along with Data science concepts and coding skills. A must skill I believe every data scientist should focus on is writing, it’s a basic required skill for a data scientist to create a report at the end of a project for their stakeholders, and that report’s presentation is one of the most important steps inside the complete work cycle for a data scientist.

3. Don’t get stuck on one Medium

What I mean by this is everyone has their comfort zone in terms of how they learn things, be it be videos or books or etc. But confiding yourself with only one form of a medium can be restrictive. There are brilliant, absolutely piece of art kind of books available that you should be keen on reading even if you like studying from online videos. This flexibility will help you more than you can realize, reading research papers, blogs, and all.

For people who learn from reading, you can check out some great video courses mentioned below to visualize the concepts with such ease and fun.

4. Socialize Yourself

This step is particularly related to increasing your chances to get Intern positions or even jobs. We can only do so much with our time, if we brand ourselves through our work and social relations, we increase our chances exponentially of getting spotted and offered an opportunity.

This same thing happened to me, In my 5th Semester, I scored 96 in the Python End semester Exam, so when the company reached out to some of the faculties at my university, I was recommended by my python teacher to the in charged teacher and she took a shot with me, after that I gave my interview and got selected as the Intern.

5. Learn Beyond Common

Keep your researcher side active while learning the concepts, Data Science, Machine Learning, and Deep learning are having extensive research going on continuously in every corner of the world. So, keep a broad mind and learn things beyond the steps of the data science work cycle. I am saying this because no knowledge that you gain goes to waste and integration of your knowledge from different stages and dimensions of your life makes you who you are today, along with that it gives you a unique identity and thought process. So, Utilize it.

I am mentioning a couple of things that I learned alongside:

Responsible AI (Ethics in AI)

How people perceive different kinds of Visualization (Visualization Wheel Dimensions)

6. Learn from the Best resources

Video Courses:

Youtube Channel, freeCodeCamp

Coursera Courses :

IBM Data Science Professional Certificate

Applied Data Science from Univerity of Michigan courses if you are interested in Deep learning

Data Science A-Z on Udemy by Kirill Eremenko

Applied Data Science by IBM

For more recommendations, you can contact me on LinkedIn

Data Camp: My favorite resource for Data science. Explore it to your hearts’ content, you will love doing and learning data science on DataCamp.

Reading Courses:

Practical Statistics for Data Scientists 50+ Essential Concepts using R and Python by Peter Bruce, Andrew Bruce, Peter Gedeck

Python Data Science Handbook by Jake VanderPlas published by O’Reilly

The Art of Statistics Learning From Data by David Spiegelhalter

The visual Display of Quantitative Information by Edward R. Tufte

Data Mining Practical machine learning tools and techniques by Ian H. Witten & Eibe Frank

7. Take Proper Notes

This point is self-explanatory, You can’t possibly remember every single thing that you read, learn or study. So to make your personal Search engine (Brain) more efficient and faster taking notes properly is the best way. You will feel more powerful psychologically whenever you see your notes, they depict your hard work, progress and so much knowledge that you have gained till now.

8. Conquer in Steps

You need to feel satisfied with yourself now and then, to keep yourself pushing forward and not letting the flame of learning sincerely vanish. I have seen a lot of people getting scared or tired or just uninterested in work hard after some time. According to my views, This usually happens when you feel that you haven’t reached the goal and you keep on walking without appreciating where you are standing right now, how far have you come through your dedication and hard work.

Therefore Try to set small goals and once you clear them, be proud because you are the best version of yourself right now, not giving up and walking forward with happiness and satisfaction in mind.

9. Contribute to Communities

Just like you are studying from many wonderful resources, why not contribute after a certain point of knowledge and become one yourself for even a single person. The act of sharing knowledge is not good to keep the flow of fresh knowledge alive, but also to make name for yourself. These contributions will give you such importance that nothing else could. Psychologically you will feel really powerful and that would reflect more on your upcoming work. It keeps the learning process strong and sharpens your overall image as a Data scientist or anything else.

Few examples of such communities are, Kaggle, Paperspace, Analytics Vidya, Medium, etc.

10. If possible find a Mentor

Well, this one is particularly not an easy task, but it is an extension to the earlier step of “learning from Best resources”. When you have someone (an expert / or even a more experienced person than you) it drives you in the most optimized direction for your learning, you wander less and grasp more. The best way is to reach out to as many people as possible on LinkedIn (Don’t beg them or irritate them, just be clear and straightforward with what help you need from them).

11. Believe in Yourself

I am mentioning the MOST Important step in the END because even if you understood all the above-mentioned steps except this, you could possibly fail or get lost in so many things that I would definitely not want for you. So, however long it takes, if you are clearing your daily, weekly goals, expanding your network of people,


That was the END of this article, I hope you learned something or the other for your OWN Journey. Share it with me anytime through LinkedIn.

Gargeya Sharma

For more info, check out my GitHub Home Page

LinkedIn        GitHub

Blog Cover Photo by Mantas Hesthaven on Unsplash

Zone Photo by Paul Skorupskas on Unsplash

The media shown in this article are not owned by Analytics Vidhya and is used at the Author’s discretion. 


Crypto Trading: A Detailed Guide For Beginners In 2023

A Guide and Basics of Crypto Trading for Beginners In 2023 are essentially known in this article

A Guide and Basics of Crypto Trading for Beginners In 2023 has become one of the most lucrative fintech pursuits. It can be highly speculative, and understanding what trading tools are accessible may assist buyers in making better, less hazardous choices.

The various order kinds for crypto trading are intended to assist traders in executing an order to purchase or sell a commodity at the best time and price while minimizing costly errors. With the rise of the internet and automated systems, ordinary retail traders in the crypto sector can now keep their purchasing and selling activity under control while completing orders with great simplicity.

What is an Exchange Order Book?

An order book is essentially a list of active purchase (bids) and sale (asks) transactions for a particular trading pair. It is recognized as a marketplace where anyone can participate by bidding to purchase an asset or inquiring about a price if they want to sell it. In the event of a sale, the open order remains in the order book until it is canceled or someone takes the offer or decides to pay the asking price for the particular asset. Each selling combination, such as BTC/USD or BTC/ETH, will have its order book.

What are the Common Crypto Order Types?

Different order kinds enable traders to buy or sell a coin with great freedom, whether they want to target a particular selling or buying price or determine the transaction’s timeline. Orders can exist in either a spot market, where coins are exchanged for instant execution, or in a futures market, where contracts can be established to ensure that an order is completed at a later date. Stop orders allow traders to specify the price at which the order should be executed and are typically set to limit losses if the price of a commodity falls significantly.

Crypto Order Types:

Market orders: A market order is a trader’s command to purchase or sell a coin at the highest available price in the crypto market, with immediate implementation. It is regarded as the most fundamental and essential form of crypto order.

Pros: Crypto market orders are ideal for dealers who do not want to wait for a goal price to be reached, and unlike all other orders, which are dependent on the likelihood that a price will reach the target, market orders are assured to be completed.

Limit orders: A crypto limit order instructs the dealer to purchase or sell a cryptocurrency at a specific price. It is best suitable for the patient trader who can wait for a price goal to be achieved.

Pros: Unlike market orders, crypto limit orders allow for greater freedom in terms of asset price and quantity. They allow traders to establish a minimum price and will only execute at or above that amount.

Cons: Limit orders are only filled if the specified price is met, and even then, execution is not assured, and there is a possibility they will be filled only partly.

Limit Order vs. Stop Order: A stop order differs from a limit order in that it contains a stop price that is only used to trigger a real transaction when the set price is met. Furthermore, a limit order can be seen by the market, whereas a stop order cannot be seen until it is activated.

What’s the Time in Force for Orders?

The time in force instruction specifies how long a crypto order will be operational before being performed or expiring. Setting up an order based on specific time criteria enables traders to stay constant with bitcoin market structures and predictions, particularly if they use time-sensitive trading tools like moving averages.

Shopping With Bitcoin? Keep This Guide Handy

What is Bitcoin anyway? In the simplest of definitions, Bitcoin is a digital currency that is not regulated by any central authority such as a bank or government.

Created by “miners” using specialized hardware, Bitcoin promises faster transactions and secure networks, which is why it’s not hard to understand why this digital currency is gaining more interest around the world. It’s especially a hot topic among entrepreneurs, investors and stock traders, and it’s slowly—but surely—gaining traction among different areas including shopping.

A little bit of Bitcoin must-knows 

A creator with the pseudonym Satoshi Nakamoto published the first proof of concept for Bitcoin back in 2008, which was published in a cryptocurrency mailing list a year after. But Bitcoin’s birthday is January 3 when Nakamoto who has now left the project mined the first 50 Bitcoin units.

On May 22, 2010, Laszlo Hanyecz said that he “successfully traded 10,000 Bitcoins for pizza. This was said to be the first transaction involving the digital currency.

Bitcoin suffered a huge loss in early 2014 when an alleged hacking of Mt. Gox, a Japanese exchange, resulted in $460 million of the currency being stolen. This raised questions about the security of this currency.

Billionaires have divided opinions over Bitcoin. The world’s most famous investor Warren Buffet said of Bitcoin: “Stay away from it. It’s a mirage, basically.” Mark Cuban and Richard Branson, however, are more optimistic about the cryptocurrency with Cuban investing in a venture capital fund that backs it.

By November 2023, Bitcoin has already reached a value of $10,000 per unit. With more than 16.7 million units in circulation, Bitcoin’s market capitalization is estimated at $167,156,585,840.

Your definitive guide to shopping with Bitcoin

Now that you have a better understanding of Bitcoin, here are some tips to help you shop with it:

A little bit of research goes a long way: As with shopping using regular money, it also pays to do your research first before spending your Bitcoin on anything. If you’re going to shop online, visit websites like chúng tôi for reviews of the best products and services that you can find online. If you’re going to a physical store, find out what businesses accept Bitcoin first to avoid any hassles during checkout.

You might need to wait for a confirmation of your payment: If you’re shopping in a physical store that accepts Bitcoin, you might need to wait for a few minutes to an hour for a confirmation that your transaction is accepted before you can take out the item. However, you have the option to buy items and ask the store to send it out to you once payment is confirmed so you don’t need to wait. This also goes the same with buying online where you are usually asked to wait between 10 minutes and an hour to get a confirmation. If it takes longer than that, just relax because the network could be very busy and your payment will go through later.

Of course, if you think that you’re only limited to buying a few products or services because you’re using Bitcoin, you could be in for a surprise.

An overstock is a great place for bargain shopping and Expedia is great for booking flights using Bitcoin. You can also buy products from Amazon using Bitcoin through services like chúng tôi where you can list the products you want to buy, pay to them in Bitcoin units and they’ll pay using a credit card for a small premium.

So, are you ready to go shopping with Bitcoin?

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