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HOW-TO: Generate Binance API Keys for Trading Bot

This is the first of a two-part series that supplements the article Crypto Trading Bot -- Is It For Me?. Configurations of the crypto exchange need to compliment that of the trading bot for them to be able to communicate and trades could then be made.

As mentioned in the article, Binance is my crypto exchange of choice since it has the lowest trading fees, set at 0.1%. Binance developed its own crypto coin which they call Binance Coin (or BNB). Among other things, the primary purposes of this crypto is to pay for trading fees. When used, the trading fee gets a 50% discount, making it 0.05%.

First, register at Binance (if you don't have an account). (I'm requesting to be your referrer, with ID 26356236. Please use this code when asked for a referrer ID.)

Open your inbox and verify the email address you used to register with Binance. The next and most important part of the configuration is to use Binance coin to pay for trading fees. You will find this in your account settings, as seen below.

On the same page, you can generate API keys that the trading bot will use to access your Binance crypto exchange account (see lower left of the screenshot above). Click on the box "API setting".

Binance will be sending an email to confirm the API key creation. Again, check your inbox for that mail.

Once keys are created, make sure the "secret key" is noted down. It will not be shown again.

Last but definitely not least, enable enhanced security settings for your account. Enable 2FA (or two-factor authentication), either by SMS and/or Google Authenticator.

RELATED: Crypto Trading Bot -- Is It For Me?

You are now ready with your Binance crypto exchange account. Next, the cryptohopper settings.

References (affiliate links):
Binance Exchange.
CryptoHopper Bot.

TIP: Crypto Trading Bot -- Is It For Me?

dillagrairdrop, bitcoin, crypto

The major difference between a typical stock exchange (further called fiat stock exchange) and a crypto stock exchange is the fact that crypto stock exchanges are open 24 hours a day, 7 days a week, the whole year round. Fiat stock exchanges have an opening and closing bell, which means at times that the exchange is closed, no trades can be done. What does this mean for you and I? Simple, it means you and I could trade crypto currencies at any time of the day -- even on holidays!

But I need sleep.. I have a day job.. and I don't know how to trade, let alone perform technical analysis or interpret candlesticks, you say. That's why crypto trading bots were made -- to do this for you while you sleep, while you work. It is not exactly set it and forget it, but close enough. I trade crypto currencies using a trading bot. This is why I could sleep and I'm able to function in my day job. How? Let me outline several steps and possibly guide you to do the same.

DISCLAIMER: I'm not a financial advisor, nor do I want to become one. The steps outlined here are to guide you and let you assess if trading crypto currencies using a bot is a viable income generator for you. There is no assurance that it will.

First, you need to have an account on a crypto currency exchange. My recommended crypto exchange is Binance (affiliate link: Binance Exchange). The primary reason why I recommend Binance is due to it having the cheapest trading fees. The default trading fee is 0.1%. And if you have Binance Coins (BNB) and use these to charge trading fees, a 50% discount is given making the trading fee 0.05%. Fees add up as you rack up trades, and that discount is HUGE.

(I have a Binance Account and my referral identification number is 26356236. Should you opt me to be your referrer kindly use this id number when you register. This gesture will enable me to help more people by being able to keep this site running. I appreciate your generosity.)

Next, take a trial of CryptoHopper Bot. While there are other trading bots out there, CryptoHopper is what I have tested and works for me so far. The 30-day trial of CryptoHopper is awesome. This enables you to test it out and see if the service is what you require.

I'm currently in my second week of the trial (a bunny account). During this time, I'm trying to secure the funds required to subscribe a hare account ($49/month). Hare subscription is recommended to take advantage of the trading bot's features. Just the same, the bunny account provided during trial has been productive. See below stats for reference.

CryptoHopper will require API keys from your Binance account. Plug them in to the hopper configuration. The hopper is disabled by default. Just the same double-check to see if it is disabled. Disable "buying" just to be sure.

I initially invested about ~2 ETH (Etherium). I also trade with Etherium as my base currency. Even with the turmoil and volatility going on in the crypto currency market, the CryptoHopper bot has been delivering consistent profits for my investment.

I will go into detail about the setup of each in the next post. For now, my suggestion is to take some Udemy courses on technical analysis and candlesticks interpretation, in preparation for the configuration. This will really help you grasp the concepts of trading and how to setup the hopper.

The courses below have helped and are currently with 100% OFF codes.

Cryptocurrency Masterclass: Technical Analysis for Beginners
Code: BHBJDBJHBD

Learn to Trade for Profit: Candlestick and Technical Trading
Code: LEARNTOTRADE3094

Crypto Trading 101: Buy Sell Trade Cryptocurrency for Profit
Code: FREEBITCOIN

Am not sure for how long these courses will remain free. My tip would be to enroll even if you cannot take the course(s) right away. These have lifetime access, so you literally can take them up in your free time. Grab them while they are still available 100% OFF.

SUGGESTED: Epic Formula to Grow Your Crypto Currency Portfolio

Stay tuned for the guides on how to setup Binance Exchange in tandem with CryptoHopper soon.

References (affiliate links):
* Binance Exchange
* CryptoHopper Bot

TIP: Epic Formula to Grow Your Crypto Currency Portfolio

dillagrairdrop, bitcoin, crypto, faucet

Ever heard of bitcoin? Nowadays it is quite rare to meet somebody who hasn't heard of bitcoin or has not encountered of anyone who talks about bitcoin. Bitcoin is the king of cryptocurrencies -- pretty much like, the US$ Dollar of crypto. It was invented by a nobody named Satoshi Nakamoto. Not much is known about this personality who invented bitcoin.

However, his innovative solution to the Byzantine General's Problem, the blockchain (from which bitcoin is built upon) is really a breakthrough. Bitcoin, the technology, has been synonymous with blockchain. And the other commonly accepted term for it is crypto currency.

Both you and I are already late in the game when it comes to crypto currency, or so it seems. Why is this? If you invested in bitcoin in the late 2000s, the price was less than $1000. This is probably the reason why a lot of people ignored it. Whereas, at the moment it is hovering over $7000. Those who did adopt the tech early on are now millionaires, if not billionaires. People often tend to measure bitcoin or crypto portfolio by the price. So are you really late in the game? Not really.

The question becomes, how do you grow your bitcoin or crypto currency portfolio without having to spend much or without having much background on cryptocurrency? Let me start by avoiding ICOs (or initial coin offerings). Pretty much everybody, even seasoned crypto currency veterans, can loose their hard earned investments in a blink of an eye. If you don't believe me, read about the infamous BitConnect.

The tested and proven ways of growing your crypto portfolio are: faucets and airdrops. Faucets are websites that "trickle" a small amount of bitcoin per period of time -- much like your literal faucet gives droplets of water. The most popular of these websites is https://freebitco.in (this is my affiliate link to that website). The other advantage of this faucet is once you have 30,000 satoshis in your wallet, it starts to earn interest.

The other bitcoin faucet I frequent is https://bitcoinker.com (this is my affiliate link to that website). Unlike, the other faucet, this one requires your having a bitcoin wallet. If you happen to live in the Philippines, you can open a bitcoin wallet in coins.ph. And use it for this faucet.

Airdrops are initial distribution of coins that do not trade in any exchange. Some are listed but generally not traded yet. Their value is a pittance compared to bitcoin itself. However, once the crypto currency gains traction, the value skyrockets. A perfect example of this is EOS.

For now there are a lot of airdrops.. I have a few that I have tested myself. And one of them is MANNA. It is used for distribution of universal basic income (or UBI). If you're interested in the whitepaper checkout their website https://www.mannabase.com (this is my affiliate link to that website). I have received 200 MANNA so far. Airdrop (coin distribution) happens every week.

Another airdrop I personally tried is the crypto ALX, intended for mobile games. You can visit the website https://alax.io (this is my affiliate link to that website) and follow the instructions shown on how to participate in the airdrop. As far as I know, the airdrop is still ongoing and distribution of the initial wave of coins are yet to happen this month.

SUGGESTED: Top Python Courses for Beginners

Regardless of which method you try, these are the proven ways of growing your crypto portfolio without having to shell out or risk your money. Like they say, slowly but surely. Try it out and see for yourself.

NOTE: I have placed affiliate links to both the faucets and airdrops. Should you want to opt out of the referral program, you can simply visit the website prior to the links. I would like to thank you in advance for showing support for this website by using the affiliate links.

TIP: Udemy Download Trick You Must Try

dillagrpython, udemy

In an effort to continuously improve myself, invest in my growth (both personally and professionally) and keep up to date with the data science trend, I have been taking courses in Udemy. I have also shared that journey in this platform -- from Python courses for beginners, Python courses for advanced users, as well as Python courses specific to data science.

One neat feature of Udemy is the ability to download courses to your mobile device for "OFFLINE" viewing, using the Udemy mobile phone application. This works out well, except when your device is storage bound. This is particularly a problem for Apple iPhone users, but may apply to certain Android users as well.

The next best option is to download to your notebook (yes, for desktops as well but they are not that portable to take with you on the go). However, Udemy courses are not downloadable from the web interface, unless the instructor specifically allowed the download. Is it still possible? HOW?!

Yes, it is possible. You are as interested in doing it as I am. And here's how.

First, install Python on your notebook. If you don't have it yet, download miniconda3 (link: https://conda.io/miniconda.html). When installing miniconda3, make sure to include python on your PATH.

Next, clone or download the zip of the udemy-dl github repository (link: https://github.com/r0oth3x49/udemy-dl). Expand the zip file to a directory of your choice. Open the requirements.txt file. Use conda to install the libraries listed. Or if you want simply, run "pip install -r requirements.txt". The use of conda is recommended, but as I have tested pip also works. Either way, it installs the modules or libraries required.

You are now ready to download the Udemy course of your choice. Note and copy the URL of your course.

Then execute "python udemy-dl.py http://www.udemy.com/replace-this-link-with-the-course-url/". Do not forget to replace the http URL with the course URL.

The example below executed for Linux High Availability Clustering.

The payloads for Udemy courses may reach upwards of 3GB. So you can expect this download to take a while, depending on your internet speeds.

RELATED: Top Python Courses for Beginners

There you have it. Udemy course videos for OFFLINE viewing on your notebook.

References:
https://conda.io/miniconda.html (Miniconda3)
https://github.com/r0oth3x49/udemy-dl (udemy-dl)

INFO: Top Python Courses for Data Science

dillagrpython, top list, udemy

If you have stumbled upon this post looking for online Python courses for beginners, or Python courses for advanced users, you may visit their respective links. This post is directed toward the specific tracks for data science and data engineering.

Are you still in doubt if pursuing data science is not for you? This chart should convince you. The chart below shows interest on data science as tracked by Google itself.

Play around with the chart and see the world's interest for data science. As with the "Diffusion of Innovation Theory", there are five (5) major groups at any point in time. We're at the stage where the "early adopters" have tipped the scales -- meaning, the movement has begun. (NOTE: If you're not familiar with the Diffusion of Innovation Theory, there is a link to a reference at the bottom of this page.)

Data has become the new oil, and it is up to you and I to mine it. The following courses will help..

[1] Python A-Z: Python for Data Science.

This course assumes you will jump from beginner (or even having no background at all) and go through the journey of using python for data science. Since it uses a step-by-step approach, you will not be overwhelmed. It also uses real life scenarios of how to tell a story using data translated into visual form.

[2] Python for Data Science and Machine Learning Bootcamp.

If you want to skip the courses for Advanced Users and head straight to data science targetted courses, this is for you. It goes through all machine learning algorithms -- classification, regression and clustering, then goes further into neural networks and deep learning. If you are into TensorFlow or interested in diving straight into it, this course is recommended.

This course got me interested in Python and Spark (PySpark) for Big Data, which is like Pandas on steroids.

[3] Machine Learning A-Z: Hands-On with Python & R.

Training under this course took me the longest time to complete. It is intense as it tackles the theory part first, then moves into not just one but two programming languages, when applicable. Both Python and R are used for machine learning algorithms. The instructor also uses a different IDE -- spyder -- which is quite interesting.

Toward the later part of the training you will be exposed to Artificial Neural Network (ANN) and Convolutional Neural Network (CNN). It is exciting to see how these deep learning techniques are deployed using just a few lines of code.

[4] Deep Learning and Computer Vision A-Z: OpenCV, SSD and GANs.

This course is very interesting. It will demonstrate how computers are taught to perceive the world. And will explain how self-driving cars are made aware of its surroundings. It is quite difficult to describe the experience but if you have got the time (and budget), don't miss taking this course.

Lots of valuable techniques abound from the above courses. They vary in application too. And if there are no barriers to learning from them, my suggestion is to take them up one at a time.

RELATED: Top Python Courses for Beginners

Are you now convinced that pursuit of data science is worth it? At this point, it is clear to see that Python is really a powerful and useful programming language to learn and master. This will really benefit you at the same time equip you for the data science challenges you may face in the future.

Reference(s):
Diffusion of Innovation Theory.