This video is showing how to construct an automated cryptocurrency trading bot which is making buying decisions based on the top performing Coin (over the last 24 h) on the whole Binance platform. These coins are most probably Altcoins and bear a huge amount of risk. Please really see this as an experiment.
Disclaimer: This video is not an investment advice and is for educational and entertainment purposes only! Cryptocurrency and automated trading is bearing a high amount of risk which might result in a total loss of your invested capital.
00:00 - 01:36 Introduction / Strategy explanation / Disclaimer
01:36 - 02:22 Set up (libraries etc.)
02:22 - 05:50 Get skyrocketing cryptos: Filters
05:50 - 06:30 Struggling with parentheses (Skip this)
06:30 - 11:58 Get the top performing crypto
11:58 - 12:59 Get minute data for the top crypto
12:59 - 14:10 Trading dollar amounts with Binance
14:10 - 22:40 Strategy Option I: NOT using Socket Manager
22:40 - 23:30 Running the bot Option I
23:30 - 26:56 Strategy: Using the Socket Manager
26:56 - 27:35 Outcome of the first trade
27:35 - 28:53 Running the bot Option II
28:53 - 30:19 Some Trades the Bot made this morning
Create a Twitter bot with Python that tweets images or status updates at a set interval. The Python script also scrapes the web for data.
📺 The video in this post was made by freeCodeCamp.org
The origin of the article: https://www.youtube.com/watch?v=8u-zJVVVhT4&list=PLWKjhJtqVAbnqBxcdjVGgT3uVR10bzTEB&index=14
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No programming language is pretty much as diverse as Python. It enables building cutting edge applications effortlessly. Developers are as yet investigating the full capability of end-to-end Python development services in various areas.
By areas, we mean FinTech, HealthTech, InsureTech, Cybersecurity, and that's just the beginning. These are New Economy areas, and Python has the ability to serve every one of them. The vast majority of them require massive computational abilities. Python's code is dynamic and powerful - equipped for taking care of the heavy traffic and substantial algorithmic capacities.
Programming advancement is multidimensional today. Endeavor programming requires an intelligent application with AI and ML capacities. Shopper based applications require information examination to convey a superior client experience. Netflix, Trello, and Amazon are genuine instances of such applications. Python assists with building them effortlessly.
Python can do such numerous things that developers can't discover enough reasons to admire it. Python application development isn't restricted to web and enterprise applications. It is exceptionally adaptable and superb for a wide range of uses.
Python is known for its tools and frameworks. There's a structure for everything. Django is helpful for building web applications, venture applications, logical applications, and mathematical processing. Flask is another web improvement framework with no conditions.
Web2Py, CherryPy, and Falcon offer incredible capabilities to customize Python development services. A large portion of them are open-source frameworks that allow quick turn of events.
Simple to read and compose
Python has an improved sentence structure - one that is like the English language. New engineers for Python can undoubtedly understand where they stand in the development process. The simplicity of composing allows quick application building.
The motivation behind building Python, as said by its maker Guido Van Rossum, was to empower even beginner engineers to comprehend the programming language. The simple coding likewise permits developers to roll out speedy improvements without getting confused by pointless subtleties.
Utilized by the best
Alright - Python isn't simply one more programming language. It should have something, which is the reason the business giants use it. Furthermore, that too for different purposes. Developers at Google use Python to assemble framework organization systems, parallel information pusher, code audit, testing and QA, and substantially more. Netflix utilizes Python web development services for its recommendation algorithm and media player.
Massive community support
Python has a steadily developing community that offers enormous help. From amateurs to specialists, there's everybody. There are a lot of instructional exercises, documentation, and guides accessible for Python web development solutions.
Today, numerous universities start with Python, adding to the quantity of individuals in the community. Frequently, Python designers team up on various tasks and help each other with algorithmic, utilitarian, and application critical thinking.
Python is the greatest supporter of data science, Machine Learning, and Artificial Intelligence at any enterprise software development company. Its utilization cases in cutting edge applications are the most compelling motivation for its prosperity. Python is the second most well known tool after R for data analytics.
The simplicity of getting sorted out, overseeing, and visualizing information through unique libraries makes it ideal for data based applications. TensorFlow for neural networks and OpenCV for computer vision are two of Python's most well known use cases for Machine learning applications.
Thinking about the advances in programming and innovation, Python is a YES for an assorted scope of utilizations. Game development, web application development services, GUI advancement, ML and AI improvement, Enterprise and customer applications - every one of them uses Python to its full potential.
The disadvantages of Python web improvement arrangements are regularly disregarded by developers and organizations because of the advantages it gives. They focus on quality over speed and performance over blunders. That is the reason it's a good idea to utilize Python for building the applications of the future.
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The ability to send digital currencies anonymously makes crypto trading popular among investors and traders. A cryptocurrency trading bot is an excellent way to automate the trading process using fundamental technical indicators. Unlike humans, such artificial intelligence-based fintech blockchain solutions take less time to execute tasks and can work 24/7 to invest time in analyzing various trades.
A cryptocurrency app development company plays a crucial role in the development of a crypto trading bot for aspects like Technical Expertise, Strategy and Planning, Bot Design and Development, Security and Compliance, Integration with Exchanges, Testing and Quality Assurance, and much more.
Crypto Trading Bots
Crypto trading bots are software programmes that execute trade orders automatically when certain market conditions are met. They represent cryptocurrency owners. They begin purchasing and selling crypto assets at the optimal time to profit.
Bots can automate a variety of activities, saving traders time and effort. Investors can use their time to concentrate on critical parts of their trading strategy, increasing productivity.
Cryptocurrency trading bots can also be used to backtest ideas against historical data. They can identify potential problems and optimise techniques..
Read More | Everything You Need to Know about Crypto Trading Bots
The Working of a Crypto Trading Bot
Features of a Crypto Trading Bot
Also, Visit | Maximizing Crypto Exchange Efficiency with Crypto APIs
Types of Crypto Trading Bot
This bot utilizes the concept of arbitrage to use the price imbalances in two or more markets.
Coin Lending Bots
Investors can use coin lending bots to lend cryptos to margin traders.
Trend Trading Bots
A trend trading bot analyses asset momentum and buys/sells in accordance with the trend’s direction.
Market Maker Bots
Market maker bots profit from trading assets at higher prices than the selling price.
Suggested Read | Exploring Crypto Arbitrage Trading Bot and Development
Popular Crypto Trading BotsKryll
Kryll is a crypto trading bot to assist traders in simplifying their crypto trading management. Crypto builder is the best function of this platform. It aids in script development without previous coding knowledge.
CryptoHopper is a trading bot that has several features like a live trading terminal, portfolio management, backtesting, and more. The bot also has multiple exchange support so that investors get the best deals.
Also, Check | Shifting Towards Web3 Crypto Wallet Development
Need Assistance in the Development Process
Read a complete and detailed blog here — Crypto Trading Bot Development | A Complete Guide
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Use python, selenium, and chrome web driver to create an Instagram bot! This script will log into instagram and like and comment on posts with a specific hashtag. We will also deploy the bot to PythonAnywhere so you can run it 24/7!
Please note that this is for educational purposes. Using a bot on instagram is against their terms and conditions!
We will start by setting up chrome web driver, selenium, and our python virtual environment. Then, we’ll log into instagram. Next, we’ll implement the like and comment by hashtag method. Finally, we’ll deploy it to PythonAnywhere using pyvirtualdisplay.
Selenium website: https://www.selenium.dev/
Chrome web driver: https://chromedriver.chromium.org/downloads
Using selenium in PythonAnywhere: https://help.pythonanywhere.com/pages/selenium/
PythonAnywhere virtual environment: https://help.pythonanywhere.com/pages/Virtualenvs/
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