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Is it true that digital currencies are not just a passing trend? Will it stay with us in the years ahead? Well, cryptocurrencies have been shaking up the global economy, from the rise of Bitcoin to Dogecoin becoming real money. So, the short answer is most likely a yes! Amidst this crypto excitement, we must not forget the role of Crypto APIs as the backbone of the economic evolution. This article will explore how Crypto APIs are shaping the financial industry, from giving market access to supporting institutional adoption. If you're not aware of Crypto APIs, don't worry! This topic may sound challenging to follow, but we'll make it easy for you to understand. Let's start from the basics! Crypto APIs: The Definition and Key Players Do you know how apps and websites seamlessly interact with cryptocurrency data? That's the Crypto APIs' job. A crypto API is like a bridge connecting your app or website to cryptocurrency data and services. It lets you check the latest Bitcoin price, trade cryptocurrencies, and manage your digital wallet automatically. Essentially, they facilitate communication between applications and cryptocurrency platforms. This relationship makes transactions and data retrieval hassle-free for users. Before going further, let's get to know some major providers of Crypto APIs. We've listed four leading players in this industry. CoinGecko: Offers comprehensive cryptocurrency data and analytics.


CoinMarketCap: Provides extensive insights into global cryptocurrency markets.


Binance: Empowers trading and investment through robust API services.


Coinbase: Facilitates seamless integration for buying, selling, and managing cryptocurrencies.
How Crypto APIs are Shaping the Industry As the main discussion, we'll explore how these players take part in a more secure and beneficial crypto transaction. At least, crypto APIs offer seven benefits to users in this modern world. #1. Fetching Market Information Access to relevant and up-to-date data is necessary to navigate cryptocurrencies. Crypto APIs make it easier to get real-time and historical data about crypto prices, trading volumes, market capitalization, and more. For example, in a real-life scenario, CoinGecko's API allows developers to fetch up-to-date market data. They can integrate these endpoints into financial apps or websites to display live market data and compare multiple cryptocurrencies at once. This accessibility to timely data educates traders to make informed investment decisions. Crypto APIs also give them real-time insights without constantly monitoring multiple platforms. #2. Offering Trading with Automated Strategies Thanks to Crypto APIs, trading can now be automated. Many API providers support algorithmic trading through features like order placement, portfolio management, and risk assessment. Traders can deploy trading bots programmed to execute buying/selling orders based on certain circumstances, including price movements and technical indicators. This automation minimizes human error and helps traders use time effectively. It also optimizes trade execution speed as it operates around the clock to ensure opportunities are captured swiftly in a volatile market. #3. Fortifying Security and Compliance Standards The decentralized and often anonymous system of digital currencies has led to skepticism about asset security and compliance standards. Crypto APIs offer advanced security protocols across digital asset platforms. The major API players offer top-tier security systems, such as two-factor authentication (2FA) and encrypted data transmission. Moreover, they support compliance with KYC/AML regulations by enabling identity verification processes to be seamlessly integrated into the trading workflow. So, what can these security protocols do in real-life scenarios? Such features can protect user funds and data more effectively while also fostering trust among institutional investors and regulatory authorities. #4. Streamlining Payment Processing Crypto APIs facilitate seamless transactions by providing secure and efficient payment gateways. Now, traders and businesses can accept cryptocurrency payments easily. Businesses in all industries can now securely accept cryptocurrencies as a payment method using a digital wallet powered by crypto API. Explainer video companies, for instance, can use cryptocurrencies to pay for their services. If you're a merchant, crypto APIs can automate payment processes. They also help manage invoices and convert cryptocurrencies into fiat or other digital assets. This advancement boosts transaction speed and security. Moreover, it expands the adoption of cryptocurrencies as a viable payment method in everyday transactions while maintaining security. #5. Advancing DeFi and NFT Integration Crypto APIs have a big role in advancing decentralized finance (DeFi) and non-fungible token (NFT) integration. They help developers to create decentralized applications (dApps) that facilitate trading, lending, and exchanging digital collectibles. For example, platforms like Uniswap and OpenSea provide APIs that enable seamless interaction with smart contracts. Smart contracts are tools to ensure secure and transparent transactions without intermediaries. Crypto APIs accelerate innovation in the blockchain economy by allowing users to participate in DeFi activities and trade NFTs easily. They make financial services and digital assets more accessible and efficient for users worldwide. #6. Fostering Innovation in Financial Services Innovations are key to survival in any market, including financial services. Crypto APIs can drive innovation in traditional financial services by leveraging blockchain technology. Institutions can utilize APIs for cross-border payments, automated settlements through smart contracts, and real-time access to market data. The use of smart contracts, for example, enables the tokenization of real-world assets and enhances transparency in financial transactions. Moreover, crypto APIs for financial institutions can reduce transaction costs and mitigate risks, leading to operational efficiency. At the same time, financial services can explore new business models and expand their service capabilities to stay ahead of the curve. #7. Promoting Institutional Adoption Crypto APIs can be solutions for institutions adopting cryptocurrencies and blockchain technology. They offer secure, compliant, and user-friendly ecosystems with institutional-grade features, such as secure custody services and regulatory compliance tools. Moreover, institutions can utilize scalable infrastructure to handle large transaction volumes. Institutional investors can leverage crypto APIs to enable them to integrate digital assets into their portfolios and operations efficiently. Crypto APIs also facilitate the mainstream acceptance of cryptocurrencies among institutional investors. By enhancing trust, security, and usability, they help pave the way for broader adoption in traditional financial sectors. To the Future: Takeaway In other words, Crypto APIs are beyond tools. Developers circling around the crypto industry should leverage Crypto APIs to revolutionize the way traders and institutions interact with cryptocurrencies and blockchain technology. From streamlining payment processing to advancing decentralized finance (DeFi) and non-fungible token (NFT) integration, Crypto APIs empower developers and institutions alike to innovate and expand their capabilities in the digital economy. Undoubtedly, Crypto APIs will remain at the forefront of shaping the future of global financial systems. As a result, we can expect more secure and convenient transactions with digital money. Is it true that digital currencies are not just a passing trend? Will it stay with us in the years ahead? Well, cryptocurrencies have been shaking up the global economy, from the rise of Bitcoin to Dogecoin becoming real money. So, the short answer is most likely a yes! Amidst this crypto excitement, we must not forget the role of Crypto APIs as the backbone of the economic evolution. This article will explore how Crypto APIs are shaping the financial industry, from giving market access to supporting institutional adoption. If you're not aware of Crypto APIs, don't worry! This topic may sound challenging to follow, but we'll make it easy for you to understand. Let's start from the basics! Crypto APIs: The Definition and Key Players Do you know how apps and websites seamlessly interact with cryptocurrency data? That's the Crypto APIs' job. A crypto API is like a bridge connecting your app or website to cryptocurrency data and services. It lets you check the latest Bitcoin price, trade cryptocurrencies, and manage your digital wallet automatically. Essentially, they facilitate communication between applications and cryptocurrency platforms. This relationship makes transactions and data retrieval hassle-free for users. Before going further, let's get to know some major providers of Crypto APIs. We've listed four leading players in this industry. CoinGecko: Offers comprehensive cryptocurrency data and analytics. CoinMarketCap: Provides extensive insights into global cryptocurrency markets. Binance: Empowers trading and investment through robust API services. Coinbase: Facilitates seamless integration for buying, selling, and managing cryptocurrencies.
How Crypto APIs are Shaping the Industry CoinGecko: Offers comprehensive cryptocurrency data and analytics. CoinGecko: Offers comprehensive cryptocurrency data and analytics. CoinGecko: CoinMarketCap: Provides extensive insights into global cryptocurrency markets. CoinMarketCap: Provides extensive insights into global cryptocurrency markets. CoinMarketCap: Binance: Empowers trading and investment through robust API services. Binance: Empowers trading and investment through robust API services. Binance: Coinbase: Facilitates seamless integration for buying, selling, and managing cryptocurrencies. How Crypto APIs are Shaping the Industry Coinbase: Facilitates seamless integration for buying, selling, and managing cryptocurrencies. Coinbase: How Crypto APIs are Shaping the Industry As the main discussion, we'll explore how these players take part in a more secure and beneficial crypto transaction . At least, crypto APIs offer seven benefits to users in this modern world. crypto transaction crypto transaction #1. Fetching Market Information Access to relevant and up-to-date data is necessary to navigate cryptocurrencies. Crypto APIs make it easier to get real-time and historical data about crypto prices, trading volumes, market capitalization, and more. For example, in a real-life scenario, CoinGecko's API allows developers to fetch up-to-date market data. They can integrate these endpoints into financial apps or websites to display live market data and compare multiple cryptocurrencies at once. This accessibility to timely data educates traders to make informed investment decisions. Crypto APIs also give them real-time insights without constantly monitoring multiple platforms. #2. Offering Trading with Automated Strategies Thanks to Crypto APIs, trading can now be automated. Many API providers support algorithmic trading through features like order placement, portfolio management, and risk assessment. Traders can deploy trading bots programmed to execute buying/selling orders based on certain circumstances, including price movements and technical indicators. This automation minimizes human error and helps traders use time effectively. It also optimizes trade execution speed as it operates around the clock to ensure opportunities are captured swiftly in a volatile market. #3. Fortifying Security and Compliance Standards The decentralized and often anonymous system of digital currencies has led to skepticism about asset security and compliance standards. Crypto APIs offer advanced security protocols across digital asset platforms. The major API players offer top-tier security systems, such as two-factor authentication (2FA) and encrypted data transmission. Moreover, they support compliance with KYC/AML regulations by enabling identity verification processes to be seamlessly integrated into the trading workflow. So, what can these security protocols do in real-life scenarios? Such features can protect user funds and data more effectively while also fostering trust among institutional investors and regulatory authorities. #4. Streamlining Payment Processing Crypto APIs facilitate seamless transactions by providing secure and efficient payment gateways. Now, traders and businesses can accept cryptocurrency payments easily. Businesses in all industries can now securely accept cryptocurrencies as a payment method using a digital wallet powered by crypto API. Explainer video companies , for instance, can use cryptocurrencies to pay for their services. Explainer video companies Explainer video companies If you're a merchant, crypto APIs can automate payment processes. They also help manage invoices and convert cryptocurrencies into fiat or other digital assets. This advancement boosts transaction speed and security. Moreover, it expands the adoption of cryptocurrencies as a viable payment method in everyday transactions while maintaining security. #5. Advancing DeFi and NFT Integration Crypto APIs have a big role in advancing decentralized finance (DeFi) and non-fungible token (NFT) integration. They help developers to create decentralized applications (dApps) that facilitate trading, lending, and exchanging digital collectibles. decentralized finance (DeFi) decentralized finance (DeFi) For example, platforms like Uniswap and OpenSea provide APIs that enable seamless interaction with smart contracts. Smart contracts are tools to ensure secure and transparent transactions without intermediaries. Crypto APIs accelerate innovation in the blockchain economy by allowing users to participate in DeFi activities and trade NFTs easily. They make financial services and digital assets more accessible and efficient for users worldwide. #6. Fostering Innovation in Financial Services Innovations are key to survival in any market, including financial services. Crypto APIs can drive innovation in traditional financial services by leveraging blockchain technology. Institutions can utilize APIs for cross-border payments, automated settlements through smart contracts, and real-time access to market data. The use of smart contracts, for example, enables the tokenization of real-world assets and enhances transparency in financial transactions. Moreover, crypto APIs for financial institutions can reduce transaction costs and mitigate risks, leading to operational efficiency. At the same time, financial services can explore new business models and expand their service capabilities to stay ahead of the curve. #7. Promoting Institutional Adoption Crypto APIs can be solutions for institutions adopting cryptocurrencies and blockchain technology. They offer secure, compliant, and user-friendly ecosystems with institutional-grade features, such as secure custody services and regulatory compliance tools. Moreover, institutions can utilize scalable infrastructure to handle large transaction volumes. Institutional investors can leverage crypto APIs to enable them to integrate digital assets into their portfolios and operations efficiently. Crypto APIs also facilitate the mainstream acceptance of cryptocurrencies among institutional investors. By enhancing trust, security, and usability, they help pave the way for broader adoption in traditional financial sectors. To the Future: Takeaway In other words, Crypto APIs are beyond tools. Developers circling around the crypto industry should leverage Crypto APIs to revolutionize the way traders and institutions interact with cryptocurrencies and blockchain technology. From streamlining payment processing to advancing decentralized finance (DeFi) and non-fungible token (NFT) integration, Crypto APIs empower developers and institutions alike to innovate and expand their capabilities in the digital economy. Undoubtedly, Crypto APIs will remain at the forefront of shaping the future of global financial systems. As a result, we can expect more secure and convenient transactions with digital money.

Cryptocurrency in the Future: How Crypto APIs are Shaping the Industry 

Authors:
(1) Xiao-Yang Liu, Hongyang Yang, Columbia University (xl2427,hy2500@columbia.edu);
(2) Jiechao Gao, University of Virginia (jg5ycn@virginia.edu);
(3) Christina Dan Wang (Corresponding Author), New York University Shanghai (christina.wang@nyu.edu). Table of Links Abstract and 1 Introduction 2 Related Works and 2.1 Deep Reinforcement Learning Algorithms 2.2 Deep Reinforcement Learning Libraries and 2.3 Deep Reinforcement Learning in Finance 3 The Proposed FinRL Framework and 3.1 Overview of FinRL Framework 3.2 Application Layer 3.3 Agent Layer 3.4 Environment Layer 3.5 Training-Testing-Trading Pipeline 4 Hands-on Tutorials and Benchmark Performance and 4.1 Backtesting Module 4.2 Baseline Strategies and Trading Metrics 4.3 Hands-on Tutorials 4.4 Use Case I: Stock Trading 4.5 Use Case II: Portfolio Allocation and 4.6 Use Case III: Cryptocurrencies Trading 5 Ecosystem of FinRL and Conclusions, and References 3.5 Training-Testing-Trading Pipeline The "training-testing" workflow used by conventional machine learning methods falls short for financial tasks. It splits the data into training set and testing set. On the training data, users select features and tune parameters; then evaluate on the testing data. However, financial tasks will experience a simulation-to-reality gap between the testing performance and real-live market performance. Because the testing here is offline backtesting, while the users’ goal is to place orders in a real-world market. FinRL employs a “training-testing-trading" pipeline to reduce the simulation-to-reality gap. We use historical data (time series) for the “training-testing" part, which is the same as conventional machine learning tasks, and this testing period is for backtesting purpose. For the “trading" part, we use live trading APIs, such as CCXT, Alpaca, or Interactive Broker, allowing users carry out trades directly in a trading system. Therefore, FinRL directly connects with live trading APIs: 1). downloads live data, 2). feeds data to the trained DRL model and obtains the trading positions, and 3). allows users to place trades. Fig. 4 illustrates the “training-testing-trading” pipeline: Step 1). A training window to retrain an agent. Step 2). A testing window to evaluate the trained agent, while hyperparameters can be tuned iteratively. Step 3). Use the trained agent to trade in a trading window. Rolling window is used in the training-testing-trading pipeline, because the investors and portfolio managers need to retrain the model periodically as time goes ahead. FinRL provides flexible selections of rolling windows, such as monthly, quarterly, yearly windows, or by users’ specifications. This paper is available on arxiv under CC BY 4.0 DEED license. Authors: (1) Xiao-Yang Liu, Hongyang Yang, Columbia University (xl2427,hy2500@columbia.edu); (2) Jiechao Gao, University of Virginia (jg5ycn@virginia.edu); (3) Christina Dan Wang (Corresponding Author), New York University Shanghai (christina.wang@nyu.edu). Authors: Authors: (1) Xiao-Yang Liu, Hongyang Yang, Columbia University (xl2427,hy2500@columbia.edu); (2) Jiechao Gao, University of Virginia (jg5ycn@virginia.edu); (3) Christina Dan Wang ( Corresponding Author ), New York University Shanghai (christina.wang@nyu.edu). Corresponding Author Table of Links Abstract and 1 Introduction Abstract and 1 Introduction 2 Related Works and 2.1 Deep Reinforcement Learning Algorithms 2 Related Works and 2.1 Deep Reinforcement Learning Algorithms 2.2 Deep Reinforcement Learning Libraries and 2.3 Deep Reinforcement Learning in Finance 2.2 Deep Reinforcement Learning Libraries and 2.3 Deep Reinforcement Learning in Finance 3 The Proposed FinRL Framework and 3.1 Overview of FinRL Framework 3 The Proposed FinRL Framework and 3.1 Overview of FinRL Framework 3.2 Application Layer 3.2 Application Layer 3.3 Agent Layer 3.3 Agent Layer 3.4 Environment Layer 3.4 Environment Layer 3.5 Training-Testing-Trading Pipeline 3.5 Training-Testing-Trading Pipeline 4 Hands-on Tutorials and Benchmark Performance and 4.1 Backtesting Module 4 Hands-on Tutorials and Benchmark Performance and 4.1 Backtesting Module 4.2 Baseline Strategies and Trading Metrics 4.2 Baseline Strategies and Trading Metrics 4.3 Hands-on Tutorials 4.3 Hands-on Tutorials 4.4 Use Case I: Stock Trading 4.4 Use Case I: Stock Trading 4.5 Use Case II: Portfolio Allocation and 4.6 Use Case III: Cryptocurrencies Trading 4.5 Use Case II: Portfolio Allocation and 4.6 Use Case III: Cryptocurrencies Trading 5 Ecosystem of FinRL and Conclusions, and References 5 Ecosystem of FinRL and Conclusions, and References 3.5 Training-Testing-Trading Pipeline The "training-testing" workflow used by conventional machine learning methods falls short for financial tasks. It splits the data into training set and testing set. On the training data, users select features and tune parameters; then evaluate on the testing data. However, financial tasks will experience a simulation-to-reality gap between the testing performance and real-live market performance. Because the testing here is offline backtesting, while the users’ goal is to place orders in a real-world market. FinRL employs a “training-testing-trading" pipeline to reduce the simulation-to-reality gap. We use historical data (time series) for the “training-testing" part, which is the same as conventional machine learning tasks, and this testing period is for backtesting purpose. For the “trading" part, we use live trading APIs, such as CCXT, Alpaca, or Interactive Broker, allowing users carry out trades directly in a trading system. Therefore, FinRL directly connects with live trading APIs: 1). downloads live data, 2). feeds data to the trained DRL model and obtains the trading positions, and 3). allows users to place trades. Fig. 4 illustrates the “training-testing-trading” pipeline: Step 1) . A training window to retrain an agent. Step 1) Step 2). A testing window to evaluate the trained agent, while hyperparameters can be tuned iteratively. Step 2). Step 3). Use the trained agent to trade in a trading window. Step 3). Rolling window is used in the training-testing-trading pipeline, because the investors and portfolio managers need to retrain the model periodically as time goes ahead. FinRL provides flexible selections of rolling windows, such as monthly, quarterly, yearly windows, or by users’ specifications. This paper is available on arxiv under CC BY 4.0 DEED license. This paper is available on arxiv under CC BY 4.0 DEED license. available on arxiv

How FinRL's Pipeline Enhances Trading Performance in Real-time Markets

How Cryptocurrency APIs Drive Growth in the Blockchain Industry

In the fast-paced world of cryptocurrencies, timely and accurate data is not just valuable—it's crucial. For traders, developers, and crypto enthusiasts, CoinGecko's API has emerged as an indispensable tool, offering a comprehensive suite of data points from live prices to historical data and NFT market insights. Here's why CoinGecko’s API is a leader in this space and how you can leverage its capabilities in your projects. The Value of Cryptocurrency Data APIs Cryptocurrency Data APIs like CoinGecko provide essential data that helps in making informed trading decisions, developing applications, and conducting market analysis. They serve as the backbone for various crypto-related applications, enhancing functionality by providing real-time access to price movements, market capitalization, trading volumes, and much more. Why CoinGecko API? Comprehensive Data Coverage: CoinGecko tracks over 2 million tokens across 100+ blockchain networks and 1,000+ exchanges, ensuring that you have all the data you need at your fingertips.
Reliability and Uptime: With a proven track record since 2014 and a 99.9% uptime, CoinGecko ensures that your applications run smoothly with continuous data flow.
Ease of Use: The API is designed to be user-friendly, catering to both novice developers and seasoned professionals with well-documented endpoints and straightforward integration processes. Real-World Use Cases Market Analysis Tools
Developers can integrate CoinGecko API into market analysis tools to provide users with real-time and historical market data. This helps traders identify trends, evaluate market conditions, and make more informed decisions.
Example: A developer creates a web application that displays the top 10 cryptocurrencies by market cap with their price changes and trading volume over the past 24 hours.

Portfolio Management Applications
Portfolio management apps can use CoinGecko API to track the current value of holdings in various cryptocurrencies, updating portfolio values in real-time based on the latest market prices.
Example: An app pulls in data from CoinGecko to update the user’s investment in Bitcoin, Ethereum, and other altcoins, providing notifications if certain assets exceed or drop below predefined thresholds.

Educational Platforms
Educational platforms that teach cryptocurrency trading can use the API to show live market data to students, helping them understand market dynamics as they learn.
Example: A trading course website uses real-time data from CoinGecko to illustrate how sudden news events impact cryptocurrency prices. Tutorial: Building a Simple Crypto Price Tracker Using CoinGecko API Step 1: Setting Up
Begin by registering on the CoinGecko website to access the API keys. Once you have your key, set up a basic project environment in your preferred coding language. Step 2: Fetching Data
Using the /simple/price endpoint, you can fetch real-time price data. Here’s a quick snippet in Python: import requests

url = "https://api.coingecko.com/api/v3/simple/price?ids=bitcoin&vs_currencies=usd"
response = requests.get(url)
price = response.json()['bitcoin']['usd']
print(f"Current Bitcoin Price: USD {price}") Step 3: Expanding Functionality
Expand your tracker by adding more cryptocurrencies and additional data points like trading volume or market cap by adjusting the API requests. CoinGecko’s API is more than just a tool—it's a gateway to understanding and interacting with the entire cryptocurrency market. Whether you’re building the next great crypto application or simply enhancing your trading strategy, CoinGecko provides the reliable, comprehensive data you need to succeed. Start exploring today and see how CoinGecko API can transform your approach to the crypto universe! In the fast-paced world of cryptocurrencies, timely and accurate data is not just valuable—it's crucial. For traders, developers, and crypto enthusiasts, CoinGecko's API has emerged as an indispensable tool, offering a comprehensive suite of data points from live prices to historical data and NFT market insights. Here's why CoinGecko’s API is a leader in this space and how you can leverage its capabilities in your projects. CoinGecko’s API The Value of Cryptocurrency Data APIs Cryptocurrency Data APIs like CoinGecko provide essential data that helps in making informed trading decisions, developing applications, and conducting market analysis. They serve as the backbone for various crypto-related applications, enhancing functionality by providing real-time access to price movements, market capitalization, trading volumes, and much more. CoinGecko Why CoinGecko API? Comprehensive Data Coverage: CoinGecko tracks over 2 million tokens across 100+ blockchain networks and 1,000+ exchanges, ensuring that you have all the data you need at your fingertips. Reliability and Uptime: With a proven track record since 2014 and a 99.9% uptime, CoinGecko ensures that your applications run smoothly with continuous data flow. Ease of Use: The API is designed to be user-friendly, catering to both novice developers and seasoned professionals with well-documented endpoints and straightforward integration processes. Comprehensive Data Coverage : CoinGecko tracks over 2 million tokens across 100+ blockchain networks and 1,000+ exchanges, ensuring that you have all the data you need at your fingertips. Comprehensive Data Coverage Reliability and Uptime : With a proven track record since 2014 and a 99.9% uptime, CoinGecko ensures that your applications run smoothly with continuous data flow. Reliability and Uptime Ease of Use : The API is designed to be user-friendly, catering to both novice developers and seasoned professionals with well-documented endpoints and straightforward integration processes. Ease of Use Real-World Use Cases Market Analysis Tools
Developers can integrate CoinGecko API into market analysis tools to provide users with real-time and historical market data. This helps traders identify trends, evaluate market conditions, and make more informed decisions.
Example: A developer creates a web application that displays the top 10 cryptocurrencies by market cap with their price changes and trading volume over the past 24 hours. Portfolio Management Applications
Portfolio management apps can use CoinGecko API to track the current value of holdings in various cryptocurrencies, updating portfolio values in real-time based on the latest market prices.
Example: An app pulls in data from CoinGecko to update the user’s investment in Bitcoin, Ethereum, and other altcoins, providing notifications if certain assets exceed or drop below predefined thresholds. Educational Platforms
Educational platforms that teach cryptocurrency trading can use the API to show live market data to students, helping them understand market dynamics as they learn.
Example: A trading course website uses real-time data from CoinGecko to illustrate how sudden news events impact cryptocurrency prices. Market Analysis Tools Developers can integrate CoinGecko API into market analysis tools to provide users with real-time and historical market data. This helps traders identify trends, evaluate market conditions, and make more informed decisions. Example: A developer creates a web application that displays the top 10 cryptocurrencies by market cap with their price changes and trading volume over the past 24 hours. Market Analysis Tools Market Analysis Tools Developers can integrate CoinGecko API into market analysis tools to provide users with real-time and historical market data. This helps traders identify trends, evaluate market conditions, and make more informed decisions. Example : A developer creates a web application that displays the top 10 cryptocurrencies by market cap with their price changes and trading volume over the past 24 hours. Example Portfolio Management Applications Portfolio management apps can use CoinGecko API to track the current value of holdings in various cryptocurrencies, updating portfolio values in real-time based on the latest market prices. Example: An app pulls in data from CoinGecko to update the user’s investment in Bitcoin, Ethereum, and other altcoins, providing notifications if certain assets exceed or drop below predefined thresholds. Portfolio Management Applications Portfolio Management Applications Portfolio management apps can use CoinGecko API to track the current value of holdings in various cryptocurrencies, updating portfolio values in real-time based on the latest market prices. Example : An app pulls in data from CoinGecko to update the user’s investment in Bitcoin, Ethereum, and other altcoins, providing notifications if certain assets exceed or drop below predefined thresholds. Example Educational Platforms Educational platforms that teach cryptocurrency trading can use the API to show live market data to students, helping them understand market dynamics as they learn. Example: A trading course website uses real-time data from CoinGecko to illustrate how sudden news events impact cryptocurrency prices. Educational Platforms Educational Platforms Educational platforms that teach cryptocurrency trading can use the API to show live market data to students, helping them understand market dynamics as they learn. Example : A trading course website uses real-time data from CoinGecko to illustrate how sudden news events impact cryptocurrency prices. Example Tutorial: Building a Simple Crypto Price Tracker Using CoinGecko API Step 1: Setting Up Begin by registering on the CoinGecko website to access the API keys. Once you have your key, set up a basic project environment in your preferred coding language. Step 1: Setting Up Step 2: Fetching Data Using the /simple/price endpoint, you can fetch real-time price data. Here’s a quick snippet in Python: Step 2: Fetching Data /simple/price import requests

url = "https://api.coingecko.com/api/v3/simple/price?ids=bitcoin&vs_currencies=usd"
response = requests.get(url)
price = response.json()['bitcoin']['usd']
print(f"Current Bitcoin Price: USD {price}") import requests

url = "https://api.coingecko.com/api/v3/simple/price?ids=bitcoin&vs_currencies=usd"
response = requests.get(url)
price = response.json()['bitcoin']['usd']
print(f"Current Bitcoin Price: USD {price}") Step 3: Expanding Functionality Expand your tracker by adding more cryptocurrencies and additional data points like trading volume or market cap by adjusting the API requests. Step 3: Expanding Functionality CoinGecko’s API is more than just a tool—it's a gateway to understanding and interacting with the entire cryptocurrency market. Whether you’re building the next great crypto application or simply enhancing your trading strategy, CoinGecko provides the reliable, comprehensive data you need to succeed. Start exploring today and see how CoinGecko API can transform your approach to the crypto universe!

Unlocking the Power of Crypto Markets with CoinGecko API

The cryptocurrency world is a rapidly evolving landscape, with new projects, technologies, and investment opportunities emerging what feels like every single day. In this fast-paced environment, having access to comprehensive and up-to-date data is crucial for everyone from developers to traders to analysts. That's where crypto data APIs come into play. These powerful tools provide programmatic access to aggregated market data, on-chain metrics, price feeds, asset metadata, and more from thousands of blockchain networks and crypto exchanges. By tapping into these APIs, builders can create cutting-edge apps that put a wealth of cryptocurrency intelligence at users' fingertips. Apps You Can Build When You Have Access to Robust Crypto Data Streams Trading Platforms and Tools For traders, having access to historical price data alongside live market tickers is like giving a fighter pilot their instrument panel. By integrating a crypto data API like CoinGecko, developers can build advanced trading terminals that display candlestick charts, depth charts, order books and more for thousands of trading pairs across centralized and decentralized exchanges. But it goes beyond just visualizing the data. With flexible API access, you can calculate complex technical indicators on the fly, backtest automated trading strategies against years of historical data, and execute trades directly through the API. Essentially, you have all the building blocks to create a comprehensive trading platform or analysis toolkit. Perhaps most powerfully, machine learning can be layered on top to create self-teaching algorithms that identify patterns in the market data and execute trades based on those patterns. The possibilities are endless when you combine crypto data with AI/ML capabilities. Portfolio Tracking and Crypto Finance Apps For anyone holding a diversified basket of crypto assets, whether they're a day trader or long-term investor, keeping track of your portfolio across dozens of wallets and exchanges is a headache. But it doesn't have to be. By integrating coin metadata like ticker symbols, logos, descriptions and links to blockchain explorers from crypto data APIs, developers can build intuitive portfolio tracking apps that automatically sync all of a user's asset balances and provide a clean interface to monitor performance over time. The metadata also enables more advanced functionality like pricing in fiat terms, profit/loss calculations, and tax reporting features. We're just scratching the surface of ways to improve crypto finance management UX thanks to centralized access to this data. Analytics for DeFi, NFTs, DAOs and Web3 The decentralized finance (DeFi) space is booming, with on-chain trading volumes and total value locked hitting new highs seemingly every month. Projects in the NFT, DAO, and broader Web3 sectors are also seeing an explosion of activity and engagement. But analyzing the trends and opportunities in these areas requires robust on-chain data - information about liquidity pools, orders, trades, mints, token distributions, and more flowing directly from the blockchains where this activity is happening. This is exactly the type of data that crypto APIs like CoinGecko are focused on aggregating and expo sing through clean APIs. Whether it's a dashboard monitoring major DeFi lending activity, an analytical tool that identifies the hottest new NFT collections, or a data viz that maps the connections between the thousands of DAOs, on-chain crypto data is the key ingredient enabling the next wave of blockchain analytics and intelligence apps. Dig into the capabilities of a platform like CoinGecko and you'll find API endpoints that let you track stats on over 500 different decentralized exchanges, pull granular order book data for DEX trading pairs, analyze token transfers and smart contract interactions, and much more. In a space that is inherently decentralized with no single source of truth, having an aggregator that seamlessly combines on-chain data across networks into unified APIs is a game-changer for those of us building Web3 apps, services, and tooling. The Future: How Crypto Data + AI Will Transform Industries As transformative as crypto data APIs have already been for the development of blockchain and cryptocurrency applications, we're really just seeing the tip of the iceberg in terms of their potential impact. I'm most excited about the future intersection of crypto data and artificial intelligence. Being able to combine the wealth of data accessible through API streams with large language models, computer vision, simulation environments, and other cutting-edge AI technologies is going to open up entirely new frontiers of innovation. We're already starting to see examples of this convergence in the form of crypto trading bots that use machine learning to identify patterns and automatically execute trades. But I expect we'll see AI-powered crypto apps and services start to proliferate across domains like: Financial services: Intelligent crypto robo-advisors that provide personalized portfolio management, lending, trading and financial planning guidance tailored to each individual's risk profile and situation


Regulatory compliance: AI models that analyze on-chain activity and transaction patterns to detect fraud, money laundering and other illicit activity in real-time.


Economic simulation: Virtual environments for simulating and testing new blockchain-based economic, financial and governance models before deploying them in the real world.


Asset discovery: AI assistants that can analyze millions of data points to identify up-and-coming crypto assets, DeFi protocols and NFT collections before they explode in popularity.


Gaming and virtual worlds: Open-world blockchain games and metaverse experiences that leverage AI for creating infinite environments, stories, characters and experiences that respond intelligently to players' actions. The possibilities are truly mind-boggling when you have a torrent of live crypto data streaming in that can be consumed and learned from by artificial intelligence models with each passing second. At this pivotal moment when blockchain data is proliferating rapidly but is largely siloed across different networks and platforms, crypto data aggregators and their standardized APIs will act as critical connective layers. They'll provide the canonical pipelines for getting all of that on-chain information into the machines that will shape our decentralized digital future. This grand vision may still be a few years away, but the foundations are being built today by platforms working to comprehensively organize and expose the full scope of crypto asset data. For developers who want to start putting these powerful building blocks to use, there's never been a better time to start plugging into crypto's open data streams through robust APIs. Integrate once, and you'll be able to build apps and services that can interface with the entire blockchain ecosystem as it continues its exponential expansion. Just like the internet opened up entirely new worlds of innovation by democratizing information flows, crypto data APIs are the on-ramp to uncovering value in the vast frontier of decentralized data and assets. Put on your builder helmet and start plugging in. The cryptocurrency world is a rapidly evolving landscape, with new projects, technologies, and investment opportunities emerging what feels like every single day. In this fast-paced environment, having access to comprehensive and up-to-date data is crucial for everyone from developers to traders to analysts. That's where crypto data APIs come into play. These powerful tools provide programmatic access to aggregated market data, on-chain metrics, price feeds, asset metadata, and more from thousands of blockchain networks and crypto exchanges. By tapping into these APIs, builders can create cutting-edge apps that put a wealth of cryptocurrency intelligence at users' fingertips. Apps You Can Build When You Have Access to Robust Crypto Data Streams Trading Platforms and Tools For traders, having access to historical price data alongside live market tickers is like giving a fighter pilot their instrument panel. By integrating a crypto data API like CoinGecko, developers can build advanced trading terminals that display candlestick charts, depth charts, order books and more for thousands of trading pairs across centralized and decentralized exchanges. But it goes beyond just visualizing the data. With flexible API access, you can calculate complex technical indicators on the fly, backtest automated trading strategies against years of historical data, and execute trades directly through the API. Essentially, you have all the building blocks to create a comprehensive trading platform or analysis toolkit. Perhaps most powerfully, machine learning can be layered on top to create self-teaching algorithms that identify patterns in the market data and execute trades based on those patterns. The possibilities are endless when you combine crypto data with AI/ML capabilities. Portfolio Tracking and Crypto Finance Apps For anyone holding a diversified basket of crypto assets, whether they're a day trader or long-term investor, keeping track of your portfolio across dozens of wallets and exchanges is a headache. But it doesn't have to be. By integrating coin metadata like ticker symbols, logos, descriptions and links to blockchain explorers from crypto data APIs, developers can build intuitive portfolio tracking apps that automatically sync all of a user's asset balances and provide a clean interface to monitor performance over time. The metadata also enables more advanced functionality like pricing in fiat terms, profit/loss calculations, and tax reporting features. We're just scratching the surface of ways to improve crypto finance management UX thanks to centralized access to this data. Analytics for DeFi, NFTs, DAOs and Web3 The decentralized finance (DeFi) space is booming, with on-chain trading volumes and total value locked hitting new highs seemingly every month. Projects in the NFT, DAO, and broader Web3 sectors are also seeing an explosion of activity and engagement. But analyzing the trends and opportunities in these areas requires robust on-chain data - information about liquidity pools, orders, trades, mints, token distributions, and more flowing directly from the blockchains where this activity is happening. This is exactly the type of data that crypto APIs like CoinGecko are focused on aggregating and expo sing through clean APIs. Whether it's a dashboard monitoring major DeFi lending activity, an analytical tool that identifies the hottest new NFT collections, or a data viz that maps the connections between the thousands of DAOs, on-chain crypto data is the key ingredient enabling the next wave of blockchain analytics and intelligence apps. Dig into the capabilities of a platform like CoinGecko and you'll find API endpoints that let you track stats on over 500 different decentralized exchanges, pull granular order book data for DEX trading pairs, analyze token transfers and smart contract interactions, and much more. In a space that is inherently decentralized with no single source of truth, having an aggregator that seamlessly combines on-chain data across networks into unified APIs is a game-changer for those of us building Web3 apps, services, and tooling. The Future: How Crypto Data + AI Will Transform Industries As transformative as crypto data APIs have already been for the development of blockchain and cryptocurrency applications, we're really just seeing the tip of the iceberg in terms of their potential impact. I'm most excited about the future intersection of crypto data and artificial intelligence. Being able to combine the wealth of data accessible through API streams with large language models, computer vision, simulation environments, and other cutting-edge AI technologies is going to open up entirely new frontiers of innovation. We're already starting to see examples of this convergence in the form of crypto trading bots that use machine learning to identify patterns and automatically execute trades. But I expect we'll see AI-powered crypto apps and services start to proliferate across domains like: But I expect we'll see AI-powered crypto apps and services start to proliferate across domains like: Financial services: Intelligent crypto robo-advisors that provide personalized portfolio management, lending, trading and financial planning guidance tailored to each individual's risk profile and situation Regulatory compliance: AI models that analyze on-chain activity and transaction patterns to detect fraud, money laundering and other illicit activity in real-time. Economic simulation: Virtual environments for simulating and testing new blockchain-based economic, financial and governance models before deploying them in the real world. Asset discovery: AI assistants that can analyze millions of data points to identify up-and-coming crypto assets, DeFi protocols and NFT collections before they explode in popularity. Gaming and virtual worlds: Open-world blockchain games and metaverse experiences that leverage AI for creating infinite environments, stories, characters and experiences that respond intelligently to players' actions. Financial services: Intelligent crypto robo-advisors that provide personalized portfolio management, lending, trading and financial planning guidance tailored to each individual's risk profile and situation Financial services: Intelligent crypto robo-advisors that provide personalized portfolio management, lending, trading and financial planning guidance tailored to each individual's risk profile and situation Financial services: Regulatory compliance: AI models that analyze on-chain activity and transaction patterns to detect fraud, money laundering and other illicit activity in real-time. Regulatory compliance: AI models that analyze on-chain activity and transaction patterns to detect fraud, money laundering and other illicit activity in real-time. Regulatory compliance: Economic simulation: Virtual environments for simulating and testing new blockchain-based economic, financial and governance models before deploying them in the real world. Economic simulation: Virtual environments for simulating and testing new blockchain-based economic, financial and governance models before deploying them in the real world. Economic simulation: Asset discovery: AI assistants that can analyze millions of data points to identify up-and-coming crypto assets, DeFi protocols and NFT collections before they explode in popularity. Asset discovery: AI assistants that can analyze millions of data points to identify up-and-coming crypto assets, DeFi protocols and NFT collections before they explode in popularity. Asset discovery: Gaming and virtual worlds: Open-world blockchain games and metaverse experiences that leverage AI for creating infinite environments, stories, characters and experiences that respond intelligently to players' actions. Gaming and virtual worlds: Open-world blockchain games and metaverse experiences that leverage AI for creating infinite environments, stories, characters and experiences that respond intelligently to players' actions. Gaming and virtual worlds: The possibilities are truly mind-boggling when you have a torrent of live crypto data streaming in that can be consumed and learned from by artificial intelligence models with each passing second. At this pivotal moment when blockchain data is proliferating rapidly but is largely siloed across different networks and platforms, crypto data aggregators and their standardized APIs will act as critical connective layers. They'll provide the canonical pipelines for getting all of that on-chain information into the machines that will shape our decentralized digital future. This grand vision may still be a few years away, but the foundations are being built today by platforms working to comprehensively organize and expose the full scope of crypto asset data. For developers who want to start putting these powerful building blocks to use, there's never been a better time to start plugging into crypto's open data streams through robust APIs. Integrate once, and you'll be able to build apps and services that can interface with the entire blockchain ecosystem as it continues its exponential expansion. Just like the internet opened up entirely new worlds of innovation by democratizing information flows, crypto data APIs are the on-ramp to uncovering value in the vast frontier of decentralized data and assets. Put on your builder helmet and start plugging in.

How Crypto Data APIs and AI are Shaping the Future of Finance and Technology

Calling All Writers: Learn What The Crypto-API Writing Contest Is All About From The CoinGecko Team

সমস্ত লেখকদের কল করা হচ্ছে: CoinGecko টিম থেকে ক্রিপ্টো-এপিআই লেখার প্রতিযোগিতাটি কী তা জানুন

Aufruf an alle Autoren: Erfahren Sie vom CoinGecko-Team, worum es beim Crypto-API-Schreibwettbewerb geht

Llamando a todos los escritores: aprenda de qué se trata el concurso de redacción Crypto-API del equipo CoinGecko

Appel à tous les écrivains : découvrez en quoi consiste le concours d'écriture Crypto-API auprès de l'équipe CoinGecko

सभी लेखकों को बुलावा: कॉइनगेको टीम से जानें क्रिप्टो-एपीआई लेखन प्रतियोगिता क्या है

ライターの皆さんへ: CoinGecko チームから暗号 API ライティング コンテストについて学びましょう

모든 작가에게 전화하기: CoinGecko 팀으로부터 Crypto-API 글쓰기 콘테스트의 모든 내용을 알아보세요

Ligando para todos os escritores: saiba do que se trata o concurso de redação de Crypto-API da equipe CoinGecko

Обращение ко всем писателям: узнайте, что такое конкурс авторов Crypto-API, от команды CoinGecko

Tüm Yazarlara Çağrı: CoinGecko Ekibinden Kripto API Yazma Yarışmasının Neyle İlgili Olduğunu Öğrenin

Kêu gọi tất cả người viết: Tìm hiểu nội dung cuộc thi viết về tiền điện tử-API từ nhóm CoinGecko

召集所有作家：从 CoinGecko 团队了解 Crypto-API 写作比赛的全部内容

The crypto market has left its wild wild west days behind, and it is in the process of embracing regulations. This means that the existing blockchain and crypto infrastructure will either have to revamp itself to meet compliance requirements or retire from the market. E-Money Network is one of the world’s first blockchains to comply with the European Union’s (EU) MiCA regulations and this is a big win for Web3. What Is MiCA? Market in Crypto Assets (MiCA) is a framework that came into force in June 2023 to regulate the crypto market across Europe. The legislation delineates the rules for the issuance and transactions of crypto-assets and stablecoins. It also lays down regulatory requirements for crypto-asset service providers (CASPs). The emergence of MiCA makes one thing clear - that crypto-assets are here to stay. MiCA classifies crypto-assets into 3 distinct categories, namely asset-reference tokens (ARTs), electronic money tokens (EMTs)/e-money tokens, and other crypto-assets. ARTs encompass crypto assets that maintain a stable value by referencing other assets such as fiat currencies, securities, commodities, physical assets like gold, and even other crypto assets. EMTs are also fiat-backed tokens stored on the blockchain. However, unlike ARTs which can be pegged to multiple currencies and assets, EMTs have 1:1 backing with fiat currency. The third category of crypto assets includes all other crypto assets that cannot be categorized as ARTs or EMTs. For example, blockchain-based utility tokens for accessing goods and services provided by the issuer of the token. MiCA’s classification of crypto-assets has profound implications for the crypto industry, particularly for stablecoin issuers and crypto asset service providers (CASPs). The $150 billion stablecoin market faces stringent regulatory scrutiny, marking a significant shift towards transparency and accountability. MiCA regulations are aimed at protecting the interests of its legitimate stakeholders and preventing the misuse of crypto-assets for illicit activities like conducting scams, funding terrorism, and money laundering. However, there are concerns regarding MiCA stifling growth and innovation in the industry. Businesses that are keen on operating within the EU will have to expend significant resources on meeting compliance requirements. This will prove to be exclusionary for small bootstrapped projects. E Money Network’s Solution for MiCA Regulations E Money Network is an L1 modular blockchain designed to foster an ecosystem for the tokenization of Real-World Assets (RWAs). The difference between E Money Network and other RWA blockchains is that E Money’s revolutionary potential is not just hypothetical. Regulatory compliance is built into the E Money Network, which gives its products an edge over other similar products. E Money Network's approach seamlessly aligns with upcoming regulations like MiCA (Markets in Crypto Assets) in Europe, establishing it as an early adopter in crypto regulatory compliance. The platform distinguishes itself through four foundational proofs: Proof of Identity: Providing secure on-chain identity verification. Proof of Compliance: Incorporating on-chain Know Your Transaction (KYT) and Anti-Money Laundering (AML) modules. Proof of Ownership: Ensuring transparency via on-chain mechanisms. Proof of Custody: Offering on-chain custody solutions to safeguard assets. A key advantage of E Money Network lies in its capability to facilitate the issuance and distribution of E-money tokens, backed by fiat currency while ensuring MiCA compliance. E-money tokens, backed 1:1 with fiat currency, enable expeditious transactions on a regulated blockchain. Owing to this capability, E Money Network is poised to capture a sizable market share of the current stablecoin market in Europe. Thus, E Money Network’s MiCA compliance positions it to become the foundational network for all innovation in crypto spaces, particularly with RWAs. E Money Network’s Testnet is Live The E Money Network’s testnet went live recently. This allows users to have a first-hand experience of how the platform will function upon the launch of the Mainnet. The network recorded an impressive up to 1000 transactions per second (tps) during internal testing. E Money Network has launched a rewards program in which users can complete social and on-chain quests. Developers also have the opportunity to win grants for building and deploying their applications on the testnet. More about the testnet, quest program, and grant program can be found here. About E Money Network E Money Network is the regulated Modular RWA blockchain powered by Scallop. Scallop is now streamlining its focus and mission towards leveraging blockchain technology and has launched E Money Network as its primary product. E Money serves as an L1 blockchain designed for seamless interoperability between DeFi 2.0 and RWA tokenization, effectively establishing a network to bridge the liquidity divide between Web 2.0 and Web 3.0. The crypto market has left its wild wild west days behind, and it is in the process of embracing regulations. This means that the existing blockchain and crypto infrastructure will either have to revamp itself to meet compliance requirements or retire from the market. E-Money Network is one of the world’s first blockchains to comply with the European Union’s (EU) MiCA regulations and this is a big win for Web3. The crypto market has left its wild wild west days behind, and it is in the process of embracing regulations. This means that the existing blockchain and crypto infrastructure will either have to revamp itself to meet compliance requirements or retire from the market. E-Money Network is one of the world’s first blockchains to comply with the European Union’s (EU) MiCA regulations and this is a big win for Web3. What Is MiCA? Market in Crypto Assets (MiCA) is a framework that came into force in June 2023 to regulate the crypto market across Europe. The legislation delineates the rules for the issuance and transactions of crypto-assets and stablecoins. It also lays down regulatory requirements for crypto-asset service providers (CASPs). The emergence of MiCA makes one thing clear - that crypto-assets are here to stay. Market in Crypto Assets Market in Crypto Assets MiCA classifies crypto-assets into 3 distinct categories, namely asset-reference tokens (ARTs), electronic money tokens (EMTs)/e-money tokens, and other crypto-assets. ARTs encompass crypto assets that maintain a stable value by referencing other assets such as fiat currencies, securities, commodities, physical assets like gold, and even other crypto assets. EMTs are also fiat-backed tokens stored on the blockchain. However, unlike ARTs which can be pegged to multiple currencies and assets, EMTs have 1:1 backing with fiat currency. The third category of crypto assets includes all other crypto assets that cannot be categorized as ARTs or EMTs. For example, blockchain-based utility tokens for accessing goods and services provided by the issuer of the token. MiCA’s classification of crypto-assets has profound implications for the crypto industry, particularly for stablecoin issuers and crypto asset service providers (CASPs). The $150 billion stablecoin market faces stringent regulatory scrutiny, marking a significant shift towards transparency and accountability. $150 billion stablecoin $150 billion stablecoin MiCA regulations are aimed at protecting the interests of its legitimate stakeholders and preventing the misuse of crypto-assets for illicit activities like conducting scams, funding terrorism, and money laundering. However, there are concerns regarding MiCA stifling growth and innovation in the industry . Businesses that are keen on operating within the EU will have to expend significant resources on meeting compliance requirements. This will prove to be exclusionary for small bootstrapped projects. stifling growth and innovation in the industry stifling growth and innovation in the industry E Money Network’s Solution for MiCA Regulations E Money Network is an L1 modular blockchain designed to foster an ecosystem for the tokenization of Real-World Assets (RWAs). E Money Network E Money Network The difference between E Money Network and other RWA blockchains is that E Money’s revolutionary potential is not just hypothetical. Regulatory compliance is built into the E Money Network, which gives its products an edge over other similar products. E Money Network's approach seamlessly aligns with upcoming regulations like MiCA (Markets in Crypto Assets) in Europe, establishing it as an early adopter in crypto regulatory compliance. The platform distinguishes itself through four foundational proofs: Proof of Identity: Providing secure on-chain identity verification. Proof of Identity: Providing secure on-chain identity verification. Proof of Compliance: Incorporating on-chain Know Your Transaction (KYT) and Anti-Money Laundering (AML) modules. Proof of Compliance: Incorporating on-chain Know Your Transaction (KYT) and Anti-Money Laundering (AML) modules. Proof of Ownership: Ensuring transparency via on-chain mechanisms. Proof of Ownership: Ensuring transparency via on-chain mechanisms. Proof of Custody: Offering on-chain custody solutions to safeguard assets. Proof of Custody: Offering on-chain custody solutions to safeguard assets. A key advantage of E Money Network lies in its capability to facilitate the issuance and distribution of E-money tokens, backed by fiat currency while ensuring MiCA compliance. E-money tokens, backed 1:1 with fiat currency, enable expeditious transactions on a regulated blockchain. Owing to this capability, E Money Network is poised to capture a sizable market share of the current stablecoin market in Europe. Thus, E Money Network’s MiCA compliance positions it to become the foundational network for all innovation in crypto spaces, particularly with RWAs. E Money Network’s Testnet is Live The E Money Network’s testnet went live recently. This allows users to have a first-hand experience of how the platform will function upon the launch of the Mainnet. The network recorded an impressive up to 1000 transactions per second (tps) during internal testing. E Money Network has launched a rewards program in which users can complete social and on-chain quests. Developers also have the opportunity to win grants for building and deploying their applications on the testnet. More about the testnet, quest program, and grant program can be found here . rewards program rewards program here here About E Money Network E Money Network is the regulated Modular RWA blockchain powered by Scallop. Scallop is now streamlining its focus and mission towards leveraging blockchain technology and has launched E Money Network as its primary product. E Money serves as an L1 blockchain designed for seamless interoperability between DeFi 2.0 and RWA tokenization, effectively establishing a network to bridge the liquidity divide between Web 2.0 and Web 3.0.

E Money Network Is a MiCA-Compliant Blockchain: Here’s Why It’s a Big Deal

ই মানি নেটওয়ার্ক হল একটি এমআইসিএ-কমপ্লায়েন্ট ব্লকচেইন: এখানে কেন এটি একটি বড় চুক্তি

E Money Network ist eine MiCA-kompatible Blockchain: Darum ist das eine große Sache

E Money Network es una cadena de bloques compatible con MiCA: he aquí por qué es tan importante

E Money Network est une blockchain conforme à MiCA : voici pourquoi c'est une grosse affaire

ई मनी नेटवर्क एक MiCA-अनुरूप ब्लॉकचेन है: जानिए क्यों यह एक बड़ी बात है

E Money Network は MiCA 準拠のブロックチェーンです。これが重要な理由です。

E Money Network는 MiCA 호환 블록체인입니다. 이것이 중요한 이유는 다음과 같습니다.

E Money Network é um blockchain compatível com MiCA: é por isso que é um grande negócio

Сеть электронных денег — это блокчейн, соответствующий требованиям MiCA: вот почему это так важно

E Money Network, MiCA Uyumlu Bir Blockchaindir: İşte Neden Önemli?

Mạng E Money là một Blockchain tuân thủ MiCA: Đây là lý do tại sao nó lại là một vấn đề lớn

E Money Network 是符合 MiCA 标准的区块链：这就是为什么它如此重要

Automated or algorithmic trading involves executing buy or sell orders based on pre-programmed instructions fed to a computer. Its appeal is that it leverages computers’ greater speed and analytical prowess relative to humans to produce better results. The global automated trading market is by 2028, compared to $12 billion as of 2020. projected to reach $31 billion Algorithmic traders need intermediate to advanced programming skills to build trading robots. They’re traders before programmers, so they also need in-depth knowledge of the financial markets. Many algorithmic traders build trading robots and deploy them with their capital to hopefully make profits. That’s not the only way they can monetize their skills. People pay top dollar for trading robots built by third-party developers, often because they lack the coding skills to develop theirs. An intriguing way algorithmic traders can make money is by joining crowdsourced automated trading communities where they can get paid for building algorithms. Crowdsourced Trading This type of trading leverages combined intelligence and expertise from across the globe. It doesn't matter where the algorithmic traders are. They just need the required skills plus a functioning PC and web browser to participate in crowdsourced trading endeavors. Crowdsourced trading is a relatively new endeavor in the finance sector, but the idea of online crowdsourcing goes back decades. Here are some older examples: - A website that allows members to upload stock imagery and receive royalties from their work. iStockPhoto - The well-known free-access online encyclopedia with millions of contributors worldwide. Wikipedia - A GPS app that allows users to submit road info, such as traffic and accident reports, to benefit other users. Waze - An editable geographic database of the world with over 8 million contributors. OpenStreetMap The rise of crowdsourcing has concurred with the declining barriers to information access. Smartphones, email, improved internet connections, and many other tools have made it feasible to crowdsource information on a scale like never before. It’s no surprise that crowdsourcing has shown its usefulness in the finance sector where information is critical. Pros & Cons of Crowdsourced Trading Crowdsourced trading has its advantages and disadvantages like any other trading strategy. The main advantage of crowdsourced trading is that it equalizes the playing field for global traders. People not living within like and London can compete with traders in those areas that enjoy the benefits of proximity. major financial hub New York Giant hedge funds with deep pockets get a competitive advantage in the financial markets by hiring the best talent and paying for the most sophisticated computing resources. The rise of crowdsourced trading has given such funds access to a larger pool of talent they can empower to produce better results. The main disadvantage of crowdsourced trading for finance firms is sifting through the noise. Most algorithms on crowdsourced platforms aren’t ingenious. It takes a lot of time to identify the ones that will likely generate substantial profits. Besides, if a trader comes up with a superb trading strategy, they may not want to share it with others. Earning Profit from Crowdsourced Trading Many hedge funds are turning toward crowdsourcing to pick winning trading strategies. Hence, if you’re a skilled algorithmic trader, you can carve up a slice of the growing market. The two main ways to earn profits from crowdsourced trading are: Building and selling your algorithms; Deploying your algorithms with capital from crowdsourced capital. Building and selling your algorithms The skills needed to build trading algorithms aren’t easy to develop. An algorithmic trader must have a thorough understanding of the markets they’re operating in alongside sufficient programming knowledge to feed trading instructions to a computer. Investors lacking these skills pay significant sums to buy trading algorithms created by experts. There are some platforms where you can sell your trading algorithms like . This platform includes a marketplace where users can purchase trading robots and deploy them with their capital. If you have the skills, you can create and list your trading robot on the marketplace and earn money whenever someone buys it. MQL5.community The MQL5 platform also includes a freelance marketplace where you can find clients that want trading robots built to their specifications and bid for the job. If you’re capable, why not monetize your skills? Another good thing about MQL5 is that it allows you to test your trading robot before listing it on the marketplace. It supports backtesting, which is testing your algorithms on historical data, and forward testing, which entails testing your algorithms on live market data. Deploying Algorithms with Capital Some traders have ample skills to build trading robots but lack the capital to deploy them on the market and earn profits. These traders would be pleased to know that hedge funds are becoming increasingly receptive to funding crowdsourced investments. For instance, has committed . hedge fund honcho Steve Cohen $250 million in capital to algorithmic traders around the globe If you have what it takes to manage other people’s money, you can sign up on one of the popular crowd-sourced investment platforms (e.g., Quantopian and Quantiacs) and vie for capital. These platforms allocate substantial money (up to $1 million or more) to the best algorithms. If yours is selected, you’ll get a percentage of the profits. Note that this process is super competitive. You’ll be vying with thousands of people with top-notch analytical, finance, and programming skills– the best of the best. Is Crowdsourced Trading Right for You? Whether crowdsourced trading would be a fulfilling endeavor depends on many factors, such as your goals, geographical location, and how much time you can devote to trading. If you’re a full-time trader living within a major financial hub, it might be smarter to avoid the crowdsourced trading route and raise capital from local investors. On the other hand, if you’re living far away from major financial hubs, it’ll be wiser to seek capital from crowdsourced platforms where it’s easier to find willing investors. Before joining any crowdsourced trading platform, familiarize yourself with its rules, compensation structure, and target audience.

How to Earn Profit on Crowd-sourced Automated Trading Communities

We live in an era where believe it or not almost everything can be possible. Nowadays technology helps us to reach goals that were once only an aspect of imagination. Longevity is one of them. It is one of those aspects that starts to come to our minds, especially when we are not in our 30’s anymore. However, we all know that longevity is hard to conquer, but is it really not a possibility in the era of technology? Longevity with technology For example, thanks to technology and digital innovations people now can age in a place they always wanted and still be connected to their loved ones, or reach them any time they want. Technology also helps to improve inclusive work and home environments, making it more productive and easy to live a healthy lifestyle. According to researchers, because of the improvement of our environment, better and easier access to healthcare, cleaner water and better living conditions, the average life span has increased dramatically, and technology took a significant part in this journey.  All of these advances are moving us towards a revolutionary era. This constant improvement in the long term with advances in technology, better understanding of human behavior and biology of aging will move toward longevity and health promotion. The other side of technology wonder is science. Nowadays we have an opportunity to combine technology with science and create something that can help us to improve. Around of the variation in life span is determined by genetics, however, the answer to how it contributes to the longevity definition is still a question for the future. The study of longevity genes is a developing science. The good news is that many scientists put more and more interest towards this evolutionary process as a result now we can start seeing products that can make longevity more possible than ever before. 25 % The big question is, do people want to live longer? According to Pew Research center, around of American adults stated that they want to live up to 100 years old. As of this, the conclusion is quite obvious. But why do people want to live that long? 70% Due to the changes of the past century and the help of science, medicine and technology, the world has evolved into having better living conditions and more opportunities. People have become more optimistic and positive about their lives. They want to experience more. Moreover, it is important to add that the most difficult fact we have to come up with in our mortal lives is our own death. This is one of the reasons why longevity has become so important and enhancing more and more every year. Longevity and Biotechnology Biotechnology is technology based on biology. With modern biotechnology now we have an opportunity to use living processes or systems to create products or other technology to improve the quality of human life. Depending on the tools that are used and the applications involved, biotech has an opportunity to overlap with molecular biology, bionics, bioengineering, genetic engineering and nanotechnology. How does it work? Although biotechnology is a subject that considers many different aspects which are very different and unique, today our purpose is to take a closer look at how biotechnology and longevity work together. Biotech companies are creating longevity businesses that target specific age-related processes and creating products for customers’ full-fledged lives. And now, considering the current pandemic and vaccines, it has helped this industry to emerge as more people are interested in longevity meaning and concerned about living longer and extending healthy years. According to the Aging Analytics Agency, past years motivated to improve not only biotech companies, but the longevity sector in particular. And one of the most popular products for longevity health plan are supplements - being created for reversing human’s biological aging. Supplements created for longevity health plan In fact, these supplements do not only do that! It does not promise that you will be able to live 100 years or more, however, they are created in a way to improve your body health, so that you would feel better than you should in a particular age. A few companies truly differentiate from the industry as they presents a different perspective and appealing aspects that make this kind of supplement even more interesting. As an example, - a supplement which is created to increase the production of NAD+. Hello100 NMN What is NAD+? It is an element that naturally occurs in the body and plays a significant role in generating energy. Hello100 uses a unique, holistic delivery system this way increasing NMN’s bioavailability. Moreover, it is believed that it also repairs DNA cells, sharpens the mind and improves muscle tone and endurance. Another unique aspect that truly shows the company's involvement into the creation of a more effective product is the use of liposomal form. Liposomal pills are created in order to offer a faster and more stable delivery and ensure that supplements will be delivered to the bloodstream. Another one to grab the attention is from . The company itself believes in personalized, scientific wellness which has the possibility to extend the duration of human’s life span and create healthier lives. Throne All their products come from the ambition to empower individuals to live a healthier life. The supplement contains a new, authentic form of nicotinamide riboside that is exclusive to this particular brand. Moreover, this longevity supplement NR is bound to hydrogen malate salt. The supplement helps to clean the body from the old cells, by removing aging cells from the body. In addition, as well as, the previously mentioned supplement, this one also created to support cellular energy this way benefiting energy production. Final words As the era of technology has a significant effect on the way we live, such as a better environment, easier access to information and healthcare or better living conditions, no surprise that it has an impact on how and how long we are going to live in the future. The science of longevity has significant potential considering that people get interested in longevity more than before. With the help of improving biotechnology and people's interest in this purpose, longevity supplements will reach their golden years sooner than thought. Moreover, the companies that differentiate from the market are the ones we all should look forward to, considering that if they are creating liposomal for more stable delivery or personalized supplement for that brand, in particular, these companies show that there are more ways and more improvement that can be done in the future.

What does Longevity Mean in a Technology Era?

In this tutorial, we’ll be using Alpaca, Python, Docker, and AWS to create a fully scalable algorithmic crypto trading bot that can execute in your sleep. The strategy that will be used is based on the popular . You can check out all the source code for this article in this or in this . Supertrend indicator GitHub repository Google Colab Without further ado, let’s get started! Step 1: Creating Alpaca and AWS Accounts Setting up Alpaca In order to create the algorithmic trading bot system used in this article, the first step is to create an Alpaca account. If you don’t have an account yet, you can for free! Alpaca offers both a live brokerage as well as a paper trading platform but you can sign up just for paper trading. sign up here After creating an account, you will need to create your API credentials to access Alpaca data via Python. Save both the API Key as well as the Secret Key into a safe place on your computer. These keys will allow us to retrieve live price data for cryptocurrencies as well as execute trades in our paper trading account. Setting up AWS In order to deploy the trading bot, we’ll need an AWS account. You can for a free tier account, which offers more than 100 different services and in our case, 2200 hours of Amazon ECS Anywhere coverage. Fortunately, the sign-up process is relatively straightforward, but to learn more about what the free tier consists of, check out this . sign up link Step 2: Creating Trading Bot in Python Now that we have the accounts necessary to get started, we can start building the trading bot in Python. For this tutorial, we’ll be creating a bot that trades Bitcoin based on the signals of the Supertrend indicator. The Supertrend indicator is a popular tool for crypto swing trading as well as trend following systems but can be adapted to any timeframe. It’s calculated by using the difference between the current average true range and the average price from the most recent price bar. Import Dependencies First, we’ll need to import all of the required dependencies we’ll be using in the bot including smtplib for email communication, pandas-ta for the calculation of the supertrend indicator, and alpaca-trade-api for live market data and paper trading account access. If you have not yet installed some of these dependencies, you can go ahead and pip install them in your terminal. # Import Dependencies
import smtplib
import pandas as pd
import pandas_ta as ta
import alpaca_trade_api as tradeapi
from email.mime.text import MIMEText
from email.mime.multipart import MIMEMultipart Define Variables The next step is to define most of the general variables we’ll be needing throughout the program. For the API and Secret keys, you can paste the values you stored from step 1 of this tutorial when creating an Alpaca account. For the trading strategy, we’ll be buying and selling Bitcoin and each transaction will consist of 1 quantity. # API Credentials
API_KEY='********'
SECRET_KEY='********'
api = tradeapi.REST(API_KEY, SECRET_KEY,'https://paper-api.alpaca.markets')

# Define crypto related variables
symbol = 'BTCUSD'
qty_per_trade = 1 Create Function to Check Account Positions Next, we have to create a function to check whether the trading account currently holds any Bitcoin. If it does, we can return the quantity of Bitcoin that is being held. If there is no Bitcoin, then the function will just return 0. This is important because, in the next function which handles the buying and selling, we can focus on buying only if there is currently no Bitcoin in the account. Otherwise, we’ll monitor the sell signal to see if the position should be closed. # Check Whether Account Currently Holds Symbol
def check_positions(symbol):
    positions = api.list_positions()
    for p in positions:
        if p.symbol == symbol:
            return float(p.qty)
    return 0 Create Function to Trade Bitcoin Finally, we can create a function to retrieve the data, calculate the supertrend indicator signals, and execute the buy/sell orders. First, the function takes in an input of bar data which is used for the live current close price. Using the pandas-ta module discussed earlier, we can calculate the supertrend indicator as a column and concatenate it to the dataframe with pricing information. If the closing price is above the supertrend indicator, then a buy signal is issued. If the closing price is below the supertrend indicator, then a sell signal is issued. So by using the latest values from the dataframe, we can create boolean values for buy and sell signals. We can set the code to buy 1 quantity of Bitcoin if there is currently no position and if a buy signal is true. Likewise, we can set the code to sell 1 quantity of Bitcoin if there is currently a position and if a sell signal is true. Wrapping the entire function in a try/except block ensures that the program will not break due to errors, and will simply print out the error message. Since this is a trading bot and is intended to run throughout market hours, it’s best if the program is continuously running. # Supertrend Indicator Bot Function
def supertrend_bot(bar):
    try:
        # Get the Latest Data
        dataframe = api.get_crypto_bars(symbol, tradeapi.TimeFrame(1, tradeapi.TimeFrameUnit.Minute)).df
        dataframe = dataframe[dataframe.exchange == 'CBSE']
        sti = ta.supertrend(dataframe['high'], dataframe['low'], dataframe['close'], 7, 3)
        dataframe = pd.concat([dataframe, sti], axis=1)

        position = check_positions(symbol=symbol)
        should_buy = bar["c"] > dataframe["SUPERT_7_3.0"][-1]
        should_sell = bar["c"] < dataframe["SUPERT_7_3.0"][-1]
        print(f"Price: {bar["c"]}")
        print("Super Trend Indicator: {}".format(dataframe["SUPERT_7_3.0"][-1]))
        print(f"Position: {position} | Should Buy: {should_buy}")

        # Check if No Position and Buy Signal is True
        if position == 0 and should_buy == True:
            api.submit_order(symbol, qty=qty_per_trade, side='buy')
            message = f'Symbol: {symbol} | Side: Buy | Quantity: {qty_per_trade}'
            print(message)
            # send_mail(message)

        # Check if Long Position and Sell Signal is True
        elif position > 0 and should_sell == True:
            api.submit_order(symbol, qty=qty_per_trade, side='sell')
            message = f'Symbol: {symbol} | Side: Sell | Quantity: {qty_per_trade}'
            print(message)
            # send_mail(message)
        print("-"*20)

    except Exception as e:
        print (e)
        # send_mail(f"Trading Bot failed due to {e}") Step 3: Implementing Email Communication System Create Function for Sending Emails A critical aspect of any algorithmic trading system is having a built-in communication system where updates can be sent about any potential errors, transactions, or status. With Python, it’s extremely easy to set up email messaging using the packages email and smtplib. The first step is to set the variables for the sending and receiving emails. The email that is sending the messages must have the setting set to be off. Due to security reasons, it’s for the best if you create an entirely new email just for this trading strategy. “Less Secure Apps” Next, we can set the “from” tag equal to the algorithm name, subject title equal to our bot, and mail content using the input of text for the function. Using smtplib, we can access the gmail server, log in using the credentials given, and send the email message. You can now uncomment all of the send_mail function calls from the previous step! # Send an Update Email After Every Trade
def send_mail(message_text):
    # Define email related variables
    sender_email = '**************'
    sender_password = '**************'
    receiver_email = '**************'

    # Create a multipart message and set headers
    message = MIMEMultipart()
    message['From'] = 'Crypto Trading Algorithm'
    message['To'] = receiver_email
    message['Subject'] = 'Supertrend Indicator Bot'

    # Add body to email and send
    mail_content = message_text
    message.attach(MIMEText(mail_content, 'plain'))
    session = smtplib.SMTP('smtp.gmail.com', 587)
    session.starttls()
    session.login(sender_email, sender_password)
    text = message.as_string()
    session.sendmail(sender_email, receiver_email, text)
    session.quit()
    print ('Mail Sent')

    return {"Success": True} Step 4: Stream Live Data From Alpaca Set Up Alpaca Live Crypto Data The last step of building the Python bot is to start streaming live market data for Bitcoin from Alpaca. Fortunately, Alpaca makes this process extremely easy. First, we have to create an instance of the data streaming API by calling the Stream method in which we pass the API keys. We can also specify that we want raw data only from the Coinbase exchange. Then, we can create an asynchronous function to receive the live bar data and within this function, we can call the supertrend_bot function we made in step 2. Here, we can send an email that the trading bot is now live, subscribe to crypto data, and start streaming live data! # Create instance of Alpaca data streaming API
alpaca_stream = tradeapi.Stream(API_KEY, SECRET_KEY, raw_data=True, crypto_exchanges=['CBSE'])

# Create handler for receiving live bar data
async def on_crypto_bar(bar):
    print(bar)
    supertrend_bot(bar)

send_mail("Trading Bot is Live")

# Subscribe to data and assign handler
alpaca_stream.subscribe_crypto_bars(on_crypto_bar, symbol)

# Start streaming of data
alpaca_stream.run() Step 5: Dockerizing the Python Program Creating a Dockerfile In the next step, we’ll be deploying the code to AWS Elastic Container Services. To do that, we must first dockerize the python program we have just created. If you have not already done so, the first step is to onto your machine. Once you’ve done so, you should be able to run the following command in your terminal and receive a valid response such as “Docker version 20.10.14, build a224086”. download Docker docker -v Next, you must enter into your project directory in which you have the python program we have created and then create a Dockerfile. Using the terminal, you can simply run the command below! touch Dockerfile So far, the project directory should be something similar to what’s below. .
├── crypto_bot.py
├── Dockerfile Now, we can start populating the Dockerfile with the information it needs to containerize the application. First, we should pull down a tagged Python base image using the FROM command. The version 3.7.6 can be changed to suit your needs. Then, we can ADD the source file to the container’s base folder which in this case is crypto_bot.py. In order to use third-party libraries like alpaca-trade-api and pandas-ta in our docker app, we have to install them using the RUN pip install command. Lastly, we can add the final command that Docker will run once it’s fully set up. At this point, our Dockerfile is complete and we just have to build it within our terminal. FROM python:3.7.6

ADD crypto_bot.py .

RUN pip install alpaca-trade-api pandas-ta

CMD [ "python", "./crypto_bot.py" ] In order to build the docker app, we can return to our terminal in the same project directory and run the following command. You can replace “python-imagename” with whatever name you’d like to call this docker app! docker build -t python-imagename . In order to build the docker app, we can return to our terminal in the same project directory and run the following command. You can replace “python-imagename” with whatever name you’d like to call this docker image! Once the docker app is done building, you can run the following command to run it and you should see that the Python program will run as usual. Hopefully, you should have received an email that the trading bot is live and that trades can be executed. Keep in mind that with any changes you make to the program, you must rebuild the docker app using the previous command and run it again with the command below. And that’s it, our Python program has been fully dockerized! docker run -t python-imagename Step 6: Deploying to AWS Cloud Provider AWS CLI Configuration In order to get our docker app up and running in the cloud, we first need to if it has not already been installed. download the AWS command-line interface Once the CLI is installed, we can run the following command in our terminal to log in to our AWS account and get started with the deployment. aws configure After running this command, your terminal will ask you to provide your AWS Access Key ID and your AWS Secret Access Keys. Both of these can be found within your AWS account within security credentials. You can leave the default region name and output format as they currently are. AWS ECS Repositories Now that we’ve logged into our account in the terminal, the next step is to get our local docker app into an ECS repository in AWS. To do that, type in “ECS Repositories” in the search bar and click on the first Features link. On the ECS repositories screen, you can go ahead and create a new repository, give it a name, and leave the rest of the settings as their default state. Now, you should have a screen that’s similar to the one below. If you open up the repository and click on the “View push commands” button, you’ll be able to see the commands that are needed to push our local docker app into this repository. Follow the instructions on your screen (similar to the one below) in your local terminal. Your app should now be pushed to AWS! AWS ECS Clusters In the AWS console, navigate to AWS ECS and click the “create cluster” button. For the cluster template, click on “EC2 Linux + Networking” and continue to the next step. On the next page, you can configure the cluster to suit your specific needs. In this particular case, you only need to change six things. Create a name for your cluster Under instance configuration, change the EC2 instance type to t3a.micro Under networking, select the default dropdown value for VPC Under networking, select the default dropdown value for Subnets Under networking, select Enabled for “Auto assign public IP” Under networking, select the default dropdown value for “Security Group” After these steps, you can go ahead and create the cluster. Once, the process has been completed you should see the ECS cluster has been created, the ECS Instance IAM Policy was attached, and the CloudFormation Stack was created. AWS Task Definitions Once your cluster has been created, click on the “Task Definitions” button under Clusters in the left-hand sidebar. Click on create a new task definition, pick EC2 as the launch type compatibility and continue on to the next step. Enter a task name and scroll down to the section named Task size. Here, you can enter whatever memory and CPU values you are comfortable with. Then, click on Add container under “Container definitions.” Enter a name once again and for the image, paste the container image URL that you received from AWS. It should be similar to “https://public.ecr.aws/g9l6a0m7/crypto-bot:latest.” Then, you can scroll to the bottom of the page and create the task definition. AWS Deploying Tasks Finally, return back to the main clusters page so that you can see a screen similar to the one below. Enter into your cluster, and navigate to the Tasks tab. There, you should see an option to run a new task. Click on that button and a new popup wIll appear like the one below. Select EC2 as the launch type, and under task definition, select the name of the task you created in the previous step. Enter in the name of the cluster you just created under the Cluster dropdown. Then, go ahead and run the task. At this point, the app should be up and running on AWS! Conclusion In this tutorial, we covered everything from creating a live trading bot and implementing email communication to dockerizing a Python program and deploying it onto AWS ECS. While the strategy in the article was basic and not intended to be used as a full trading system, the processes to build a fully scalable system around a Python bot are the same so you can now automate anything you’d like! Thanks for reading, and I hope you learned something about creating algorithmic trading bots with the Alpaca Crypto API! Please note that this article is for general informational purposes only. All screenshots are for illustrative purposes only. Alpaca does not recommend any specific cryptocurrencies. Cryptocurrency services are made available by Alpaca Crypto LLC ("Alpaca Crypto"), a FinCEN registered money services business (NMLS # 2160858), and a wholly-owned subsidiary of AlpacaDB, Inc. Alpaca Crypto is not a member of SIPC or FINRA. Cryptocurrencies are not stocks and your cryptocurrency investments are not protected by either FDIC or SIPC. Depending on your location, cryptocurrency services may be provided by West Realm Shires Services, Inc., d/b/a FTX US (NMLS #1957771). This is not an offer, solicitation of an offer, or advice to buy or sell cryptocurrencies, or open a cryptocurrency account in any jurisdiction where Alpaca Crypto, or FTX US respectively, are not registered or licensed, as applicable. Cryptocurrency is highly speculative in nature, involves a high degree of risks, such as volatile market price swings, market manipulation, flash crashes, and cybersecurity risks. Cryptocurrency is not regulated or is lightly regulated in most countries. Cryptocurrency trading can lead to large, immediate and permanent loss of financial value. You should have appropriate knowledge and experience before engaging in cryptocurrency trading. For additional information, please click . here Please see alpaca.markets and Alpaca’s Disclosure Library for more information.

How to Build an Algorithmic Crypto Trading Bot in 6 Steps

Today, an awful lot of crypto assets are flowing into liquidity pools which arrived as an alternative to the traditional markets with buyers, sellers, and order book. Running on the AMM model, liquidity pools have proved to be a secure and efficient income source. What is a liquidity pool? How does a liquidity pool work? What are the top liquidity pools? Let’s go through the nuts and bolts! What Is a Liquidity Pool? A liquidity pool is a pool of tokens locked in a smart contract allowing you to trade crypto. Sorry to burst your bubble if you ever thought of liquidity pools being filled with water. As for the traditional exchanges, the trade is successful only when buyers or sellers agree on the price and the amount. These conditions often make the process complicated. To put it simply, you have to set a price which others are ready to buy or sell at. Here, everything runs in a different way. Liquidity pools work according to the algorithm which allows you to sell or buy regardless of the price, day time and availability of appropriate buyers or sellers. How Do Liquidity Pools Work? On the DEX, there is no order book and no live market maker. Liquidity pools are run by the algorithm, which stands for automated market maker. Let’s break it down further into a few insights. AMM Crypto holders deposit their assets and create trading pairs making them available for traders. 1. Liquidity providers earn commission on their deposit which is a part of trading fees. Usually, commissions are based on the percentage of the amount of liquidity they have provided. 2. Traders pay trading fees for swapping crypto assets deposited by liquidity providers. 3. Liquidity pools enhance trading by offering incentives to liquidity providers for depositing their funds. 4. There is no need for any third-party intermediary. The more crypto assets are placed in a liquidity pool, the better liquidity and trading experience this pool can offer. 5. What are Automated Market Makers? In the earlier days, DEXs ran the same model as centralized exchanges to facilitate trades. This model proved to be insufficient and ineffective, that’s why, later on, decentralized exchanges switched to the Automated Market Maker model (AMM). make instant swaps possible by eliminating the gap between buyers and sellers; you don’t have to look and wait for preferable price conditions. Everything is run by the algorithm including setting up the price and matching buyers and sellers. In return, automated market makers charge a small fee for each trade. Automated market makers Using Liquidity Pools in 2022 Today, the crypto space is bubbled with multiple decentralized exchanges running on different blockchains, with the vast majority coming from Ethereum. Nonetheless, more new DEXs are launching on Binance Smart Chain, Solana, Polygon, and others. Once again, a liquidity pool is a pool of tokens locked in a smart contract allowing you to trade crypto. Liquidity pools work according to the algorithm which allows you to sell or buy regardless of the price, day time and availability of appropriate buyers or sellers.

DeFi Learning: What Is a Liquidity Pool?

is an artificial-intelligence-based Sentiment Analyzer of the live crypto market that provides actionable insights around crypto markets. Panther Quant The crypto market is . As it has ballooned in the past one year, the valuation of the entire . There is no doubt that there is an increasing number of investors that have jumped aboard the crypto bandwagon. With the launch of various financial products like ETFs, there is now an ever-increasing interest in the space. While every trader/investor is here to maximize their profits and hedge against inflation, there is a problem. largely driven by sentiment crypto industry has jumped to over $2.2T in market cap from a mere $350B in mid-2020 The crypto market is largely driven by the sentiments of crypto traders than concrete fundamentals. This also adds to being one of the reasons for the nature of the Crypto market! Highly Volatile The Need for Sentiment Analysis Our platform is being launched with one clear objective — to provide our users with actionable insights on the prevailing sentiments in the market. In that pursuit, we use high-quality AI bots that scan the market and the news on various websites like CoinDesk, Twitter, CoinTelegraph, Messari among others to look for the ongoing sentiment on the chosen assets. Users can leverage this information to craft their trading strategies. What does Panther Quant Offer? Here are the most noticeable features that Panther Quant offers. : Users have the option to backtest their strategy on historical data, which will be provided by our platform. Back-testing Strategy Based on Historical Data Once you have had a chance to look at the historical data, you can easily optimize your trading strategy to squeeze the most out of it in the current market conditions. At this stage, you can easily calculate the risk-reward ratio per the data analyzed. Hyper-Optimize Your Trading Strategy: Once the trading strategy is completely optimized, then it can easily be dry run on the market. This is where real-time sentiment analysis (on the trading pairs identified by the users previously) will be done. Based on that data, you will be suggested the top trading pairs at that given instant in the market. Dry Run on Live Market: Well, pretty much ! We provide you with real-time data on the prevailing sentiment of the market. This helps you craft top-notch and high-profit-grossing trading strategies. You have the option to stress-test these strategies within a live market (or even do a dry run for it). Everything Create an NFT of Your Trading Strategy Yes, it is true. And we know that this is something that you have probably . With Panther, you have the option to of . never heard of before create an NFT your favorite and/or most successful trading strategies Once you have stress-tested your strategies in all markets and have made consistent profits from it, you can simply that strategy and it to fellow traders on our platform. tokenize Sell/Lease/Auction Panther will guide you throughout the process of creating an NFT of your strategy. When was the last time you heard about a functional NFT of trading strategies? Probably never!

We Built a Crypto Trading Algo Based on AI Sentiment Analysis

From Axie to Enjin Coin to Gala, there are thousands of Gaming tokens, which can make it overwhelming when a user gets started in the Gaming Industry. Many tokens have been on rollercoaster rides over the course of time. While we also see some new projects like , the Gaming Metaverse has begun new projects involving the revolutionary approach. GameInfinity : To help you get started, we have covered the top 5 gaming tokens based on their market capitalization (AXS) Axie Infinity n Market Cap - $7.38 Billio Axie Infinity is one of the most popular blockchain gaming startups created by Sky Mavis back in 2018 in Vietnam. The game leverages Ethereum-based cryptocurrency AXS and SLP. AXS and SLP be traded on Ethereum exchange for bitcoin using Smart Contracts. Smooth Love Portion (SLP) and AXIS Infinity Shard (AXS) are the two tokens used for this project. As per the CoinMarket Cap reports, the current ranking is #27 with a market cap of $7,328,223,989 USD at the time of writing. It has a circulating supply of 60,907,500 AXS coins and a max. supply of 270,000,000 AXS coins. Sky Mavis, the developer of Axie Infinity has raised $152 million at a nearly $3 billion valuation to help grow its Axie- infinity “play-to-earn” game. The blockchain-based game has also seen its native crypto token rally by 2100%, since the beginning of July. (MANA) Decentraland Market Cap -  $1,442,110,163 Decentraland is one of the most immersive blockchain games on the market. The game utilizes the Ethereum blockchain which focuses on purchasing and customizing 3D space represented by a non-fungible asset called LAND. MANA is Decentraland’s cryptocurrency token. An ERC 20 token that can be used to purchase plots of LAND as well as pay for in-world goods and services. MANA created it's all-time high of $4.95 on October 30, 2021. As per the CoinMarket Cap ranking, MANA is ranked in #75, with a live market cap of $1,442,110,163 USD. It has a circulating supply of 1,816,965,691 MANA coins and the max. supply is not available. Decentraland was co-founded by Ariel Meilich and Esteban Ordano — both of whom have stepped down from major positions at the project but still work alongside Decentraland as advisors. (ENJ) Enjin Coin Market Cap - $1,364,463,311 Enjin Coin is an Ethereum - ERC 20 based token that is a decentralized platform. The Enjin platform is one of the most interesting projects in NFT.  There are already many projects on the Enjin platform. The most focused ones are gaming and enterprise. The gaming cryptocurrency has allowed content creators and gamers a new way of being virtual owners.  Gamers can trade their assets and grow their digital wallet with real values as they continue to play. ENJ has jumped over 3,000% in the past year. As per the CoinMarket Cap, it’s ranking as #80, with a live market cap of $1,364,463,311 USD at the time of writing. It has a circulating supply of 834,340,660 ENJ coins and a max. supply of 1,000,000,000 ENJ coins. (SAND) The Sandbox Market Cap - $4915,276,185 The Sandbox has been in the industry since 2015. It is called the Sandbox because it is the ultimate sandbox game, giving players the ability to create anything they want with the availability of numerous resources. Additionally, with Blockchain, players will be able to share and monetize their creations via non-fungible tokens making them even more attractive. As per the CoinMarketCap, it is ranking as #116, with a live market cap of $679,761,888 USD at the of writing. It has a circulating supply of 892,246,119 SAND coins and a max. supply of 3,000,000,000 SAND coins. The Sandbox was launched in 2011 by Piwol, which is a blockchain-based virtual world allowing its users to create, build, buy and sell digital assets in the form of a game. (WAXP) WAX Market Cap - $495,276,185 WAX was co-founded by William Quigley and Jonathan Yantis and is purpose build on blockchain in 2017. It is designed to make e-commerce transactions faster, simpler, and secure for every involving party. As per the CoinMarketCap, WAX is ranked as #134, with a live market cap of $495,276,185 USD at the time of writing. It has a circulating supply of 1,773,286,648 WAXP coins and the max. supply is not available.

Top 5 Gaming Tokens by Market Capitalization

Are you aware of how the were carried out when there was no internet or computers? Back then, stock exchanges had active trading floors filled with brokers and traders. To make a trade or a purchase, they had to shout or use hand signals to alert others about their buy or sell orders. It looked a whole lot like an auction at a fish market today. buying and selling of stocks But then came computers and the internet to change the game completely. That not only replaced the archaic trading system on the floors of exchanges but also made it possible for individual investors to participate in markets on an equal footing. But that wasn't the last market-altering shift that would happen. The Algorithmic or Automated Trading Era Next came the era - where computers are programmed to trade independently when specific criteria are met. This made it possible to execute complex trading strategies with pinpoint precision. Investors and brokers gained the ability to plot their strategies many moves in advance. And they could also protect themselves from downside risk with automated stop-loss orders. algorithmic or automated trading The new trading systems also made a variety of possible. They took automated trading to the next level by allowing computers to trade based on a variety of price signals analyzed in real-time. And since the computers can execute a near-limitless number of trades in an instant, high-frequency trading to exploit every minute price movement became the norm. useful algorithmic trading tools Algorithmic trading strategies also came with another advantage. Traders could use software like and platforms like to backtest their strategies against historical market data. That meant they would know their strategy's odds of success before committing real money to it. It marked the final shift from intuition-based trading to data-backed analytical trading. MetaTrader 5 TradingView Enter Artificial Intelligence But algorithmic trading wasn't perfect. Using algorithmic trading, we can tell a computer to do A when B occurs. For example, an order to buy a stock (A) when RSI<30 (B). When condition B (RSI<30) is met, the computer performs action A (buys the stock). That's automated trading. Humans program and specify conditions in advance and the computer does everything else. But preprogrammed strategies can fall apart when confronted with contradictory or unexpected data. It's a vulnerability that has already spurred in the recent past. numerous mass-selloffs Artificial intelligence (AI), however, goes a step further. AI trading solutions can train on multiple types of data to understand how and why markets move as they do. Applying AI to the task of stock trading can allow computers to figure out those A and B conditions themselves and get results with minimum risk. And they should also have the ability to shift strategies on the fly with no further human intervention. Human Intelligence vs. Artificial Intelligence The great thing about AI systems is that they can process gigantic amounts of information in mere seconds, far exceeding the ability of human traders. The fintech app , for example, built proprietary AI-driven algorithms to instantly analyze information from a variety of data sources. It considers historical company and stock data, international markets, news announcements and social sentiment, financial reports, and even stocks' compatibility with investors' existing portfolios. Front The result is to quickly show investors the potential risk for any investment, so they can make more informed decisions in a fraction of the time. AI systems consider all the technical, fundamental, sentimental, and lots of other micro and macro factors to make the correct evaluation in real-time. They bring some of the art of the old-school intuition-based trader together with the power of data-backed analysis. And stock trading AI systems are improving fast. This past June, researchers at the University of Cagliari reported the results of a project that used a convolutional neural network (CNN) to power a buy and hold stock trading strategy. The CNN trained on historical S&P 500 data and could predict the live market with 50% accuracy. And with some minor modifications, . it did better than break even Is AI a Game Changer? While it's still too early to declare AI the next big thing in stock trading, all of the early signs are pointing in that direction. Already, basic AI systems can do a better-than-average job at predicting market movements. And they don't suffer from the tendency to , as human traders do. They approach every situation with cool rationality – which means they can exploit market movements that run counter to the underlying data. trade based on emotions AI can also protect traders from mistakes and work to stabilize markets, unlike algorithmic trading. A wide range of tasks (automation spectrum) can be performed without human intervention through AI that was impossible before. fat-finger trading With AI, can evaluate millions of data points and carry out trades at the most favorable price points, and analysts can make market predictions with increased accuracy. And AI can also help large trading firms to mitigate risk while aiming at the highest possible gains. Robo-advisors However, to perform such functions, a large amount of data is required. An AI model can only provide superior predictions when the primary dataset it learns from is large and diverse. And developers must ensure to utilize training methods that don't leave the AI with blind spots or inherent biases. Only then can an AI-based trading system have a solid foundation upon which to build. Pitfalls of AI in Trading With that said, some factors could prevent AI from coming to dominate financial markets. As with any other type of technical innovation, there are bound to be missteps along the way. And considering the speed of today's markets and their growing dependence on automation, even a slight hiccup could cause havoc. And there's also the possibility of AI being used for purposeful market manipulation. Back in 2010, a rogue trader used an algorithm to try and sway markets to their advantage – . With AI in the mix, such schemes might grow ever-more sophisticated, depending on what kind of fail-safe mechanisms evolve to constrain automated traders. with disastrous results And there's still the matter of AI's immaturity as a technology. Even now, as impressive as AI trading systems are, they can't fully replicate human intuition. That could leave AI systems open to external manipulation. For example, suppose an AI system tracks an influencer, Mr. X, using sentiment analysis. It would be up to its training data to inform a decision on how to weigh Mr. X's opinions. The AI can't yet factor in real-time contextual data. However, a seasoned human trader might have known that Mr. X's followers, given his history, would discount his opinion and act accordingly – producing a contradictory result. And if an individual influencer carried enough weight with an AI, they might decide to try and influence that AI's decision-making for their own benefit. The possibility of such outside manipulation – however remote – will remain a stumbling block for AI trading systems. That is until they evolve further and can make more intuitive decisions on their own. AI Trading Offers an Edge Over Algorithm Trading What is clear, however, is that AI-powered trading holds several advantages over its algorithm-only predecessors. First, there's the fact that an algorithm-driven system is always limited by the skills of the person using it. Because they cannot conduct independent analysis, they won't always deliver profitable results. An AI-powered system, by contrast, can make decisions based on rich data in real-time. AI can process massive amounts of data far faster than a human trader ever could, which increases the chances that it will make sound and reasoned decisions. And it can make those decisions fast enough to exploit even the tiniest market movements, or to counteract unexpected market swings by remaining flexible. Managing Risks All of these factors mean that AI is already one of the best tools available to forecast which stocks to invest in. The risk-management benefits of current-generation AI tools alone make it more than worth using. And for that reason, it's no surprise that AI is already in use by the stock markets themselves for that purpose. NASDAQ, for example, adopted an AI-powered anti-fraud system at the end of 2019. It's purpose-built to that caused the flash crash referenced earlier. And because the system can learn to spot other types of malicious activity, it may come to act as a check on some of the pitfalls of AI-powered trading identified here. detect and defeat the exact type of market manipulation The Bottom Line The bottom line is that AI has already revolutionized the stock market. It may not be as visible as the technologies it's displacing, but its influence is undeniable. And this is just the beginning. Moving forward, there's an excellent chance that AI will continue to evolve new feature sets to aid investors, brokers, and market regulators. But even at this early stage, AI-powered trading tools can reduce the time, in-depth knowledge, and intuition necessary to build a strong portfolio for the long term. We haven't reached the point where human traders become irrelevant, but today's AI has closed the gap between casual investors and professional traders considerably. And given how fast that has happened – it won't be long before AI becomes the new foundation of the stock markets of the future. Photos licensed via contributor's Adobe Stock account, by metamorworks, peshkov, AndSus.

The Evolution and Future of AI in the Stock Market

rading signals are an easy way to monitor the markets without monitoring the markets. Instead of following someone else’s – create your own. Become a better trader while enjoying life and never miss a move on as many trading pairs as you want to follow. The appeal of trading signals Trading based on signals you get from a “certified profitable trader” looks like an easy way to earn money. No responsibility, nothing to monitor – just potential profits. There are numerous apps, email lists, Telegram groups, WhatsApp groups, Discord servers and sites that claim their win rate is 85%! That claim is a stretch to say the least. Two traders can be trading the same strategy. Yet one may end the day in the green and the other in the red. You could get lucky a few times and make a few pips or satoshis. Still in terms of you profiting long term or developing as a trader you would be standing still. Basing your trading on signals is a bad idea for a few reasons: 1. You never learn anything about trading Your trades are blindly executed. No time spent with the charts, no backtesting, no money management. Your confidence stays low. You never improve your trading. The lack of transparency of what strategy you are trading makes it impossible to optimize. Your trading psychology remains that of a novice. 2. It might be a scam It’s easier to sell fake signals than to become a great, profitable trader so people do it. Even mentions signals among the most frequent types of trading scams. The internet is not . Investopedia short on personal examples 3. The signals might come late Small market caps that are easy to manipulate are plenty in crypto particularly. You might be used in a pump and dump scheme by a group or individual or just for the personal profit of the signal sender. They usually stack up on some cheap altcoin. Then send “the signal” in waves to smaller groups within the same signal group. The value of the altcoin gradually starts going up. By the time you buy in, it starts to go down. In the end while the signal provider sells their holdings at the top. You end up with bags of a tanking asset. But wait I have a job and a life, am I supposed to stare at charts all day? We get it, the image of a lonely trader with 4 screens around them may not be a feasible pastime for you. You still want to track market conditions on multiple pairs. You still want to profit from big moves. Every Golden Cross, MACD crossover or Price move above the SMA(50) should be on your radar. Plus, their combinations and combinations with different indicators or fundamentals. Good news! There is a better way to get your own trading signals! Imagine, you set your conditions and get an alert. Yes, price alerts are old news. But knowing that BTC dominance is down by 2% in the last day and a bullish engulfing just appeared on the ETH weekly charts? Or you’re waiting on a MACD crossover, a bullish doji and price over the 50 SMA. Be in the know whenever this is happening on ANY and EVERY pair you’re interested without staring at the charts. Running paper traded strategies on CLEO.one and opting for notifications is one of the easiest, most powerful and flexible ways to generate trading signals. Trading signals from Paper Trading What you can expect from paper trading on CLEO.one Test your strategies on live market conditions without risking any fundsOwn signals straight from the market Forget about coding all is done through simple typing Backtesting for crypto, forex and equities included Among you can find a wide range of fundamental and technical indicators. Feel free to use our free strategies on your paper trading account: our featured strategies Combination of VWAP, RSI, Candlestick patterns (BTC/USDT) Using purely Volume Weighted Average Price (LINK/BTC) Using purely Exponential Moving Average (ETH/USDT) Free Paper Trading Strategy VWAP crossing Simple EMA You can find more information about our free strategies and what you can do with them. In case you prefer to create your own strategies, for instance RSI or the Golden Cross, it’s also a . piece of cake How to set up your own signals on CLEO.one paper trading You must first . The same strategy can paper trade on as many pairs that you would like so you know that key conditions have been met wherever you are. Then you can opt for notifications whenever a position is opened or closed or a liquidation happens. set the strategy to paper trade How to set notifications: 1. Click ’Paper Trading’ on the left-hand side 2. Scroll down to your strategies and change the one you like 3. Click the bell icon on the right-hand side and tick the required notifications 4. Tick the boxes for the notification you would like to get (email recommended) on the pop-up window and click ‘Save’ Example: Setting up overbought/oversold levels with RSI RSI indicates overbought and oversold events, used to spot trend reversals and thus entry or exit points for your position. The asset is considered overbought when and oversold when it . This can be specified easily as so: RSI is above 70 is below 30 To customize, simply click on the name of the indicator, and you’ll be able to change the settings in a pop-up window. You can of course mix and match this with BTC dominance, MACD or any other technical indicator or candlestick pattern. Example: Setting up a Golden Cross You can easily set up the popular ‘Golden Cross’ signaling system. All you need to do, is to type the below condition, click ‘ ’ and tailor it to your needs. Setting the first one to 15, the second one to 50 is a commonly used strategy. Try different values, run a test, and see, if you can achieve better results. SMA See . You can backtest or run straight on the exchange! all the different types of strategies that you can set in CLEO.one

How To Create Your Customized Trading Signal Alerts

Malta-based ICO regulation In November, Malta passed a 63-page regulation detailing the requirements for issuing virtual financial assets, better known as cryptocurrencies, cryptoassets or tokens. While many in the crypto community welcome this change as the beginning of the end of the “Wild West” stage, it has both benefits and downsides to issuers of new tokens. When it comes to ICO whitepaper writing, it’s new territory. Is the Malta regulation crypto-friendly? As one of the first jurisdictions to pass clear and detailed requirements around ICOs, including details on ICO whitepapers, Malta has attracted a tremendous amount of attention as a crypto-friendly jurisdiction. On the one hand, clarity in regulation provides a level of protection and assurance for founders and investors. Just knowing what is and isn’t acceptable allows companies a level of certainty when establishing themselves. It’s impossible to know if you are going to run amiss of the law if you don’t know what the law is. As of November, the “Virtual Financial Assets Act, 2018” gives issuers of “virtual financial assets” the assurance of having a guideline to follow. Yet, the Malta regulations are so extensive and specific, it’s hard to consider them crypto-friendly. As the experts on ICO and STO whitepaper writing, we’ll focus this article specifically on the aspects of ICO whitepapers within that law, and go through what we’ve seen. Before there were whitepapers, by the way, there were “business plans”, executive summaries, and slide decks. In other words, the world of investing in startups has always had documentation that goes along with it. The Malta regulation, to the best of our knowledge, is the first attempt at defining what should be in a business plan presented to private investors. While stock market regulations have always been clear on what needs to be in an investor prospectus, for speculative investments in emerging technologies, there has never been such a specification. Business plans and slide decks are varied in their content because businesses need flexibility to live. Market conditions and customer demands change. Technology changes. Most investors in early stage startups will tell you that they don’t believe any of the financial projections. Early-stage investing is risky and requires a founding team with agility and creativity. For that reason, a highly detailed business plan (ICO or STO whitepaper) can be too restrictive to allow the business breathing room for change with the market. Already, we are seeing the closing of blockchain startups which can’t deliver, or who found the market doesn’t need what they promised. Because they don’t have the ability to “pivot” like a regular startup, they simply have to close the doors and return what’s left to the token holders. Perhaps this is a good thing. If you aren’t able to deliver, you should return whatever money you have left. In the past, that would require both the founders and the investors to agree on that step. Today, if you have a foundation, and you are authorized by law only to follow the letter of your whitepaper, there really is no other choice. How long will my whitepaper be? First of all, there’s the issue of length. Based on the current regulation, it’s unlikely that any compliant whitepaper will be able to cover all the items in less than 60 pages. In other words, your whitepaper length just doubled. Is that good for investors? I’m not sure. So far, our experience with long ICO whitepapers is that they include a fair amount of meaningless technical jargon (more on that later in this article). The good: no more Satoshi For investors, the good news is that the Malta regulations mandate that the issuers of the ICO need to be know people and provide their full contact information. In other words, if you claim your name is Satoshi Nakomoto, you have to prove it before you can issue a regulated whitepaper. For the cyberpunk revolutionary types, this isn’t great news, but let’s just say that the Satoshis of the world were never looking for legitimacy from the government in the first place. For the rest of us, in particular people who are looking for a real return on investment, this is good news. The act goes even further, making sure that every board member is also identified, and requiring a financial history of the founders. The law also requires disclosure of legal proceedings that might affect the standing of the issuers of the ICO. All of this is good news, and if the whitepaper does comply with the law, this significantly simplifies the amount of researchers will need to do before investing in an ICO. Caveat on the “good” part. For blockchain startups in areas such as privacy, security, freedom of speech and other areas that have reason to fear government intervention, this is not good news. Identifying and tracking of people has become one of the biggest issues of this century, particularly in totalitarian style governments and dictatorships. For blockchain startups looking to create a more free world, the Maltese requirement of identification is distinctly crypto-unfriendly. The weird: Be honest. One of the strangest parts of the Malta Virtual Financial Assets Act is a basic decency clause in article 9, basically stating that the issuer of financial assets should be honest, skillful, careful, manage conflicts, and have in place the appropriate administrative and security arrangements. Yes. Ok, we understand. You shouldn’t go into business unless you are competent and know how to run a business. At the same time, it just strikes us as odd that this would be the law. How are you going to enforce this? People are incompetent all the time and they think they have the right administrative procedures in place, but I’ve seen very few startups that actually do have the right people, operations, and security structures in place. In fact, you might be hard-pressed to find the parliamentarian or government worker with the qualifications to identify business acumen, competency or proper procedure. So, in theory, nice. In fact, not enforceable. It gets weirder: you’re liable but not really In a further attempt to say that dishonesty would be punished, the act goes on to state that the issuer is liable for damages based on any misinformation in the whitepaper, or if the information in the whitepaper contradicts other information in the whitepaper. Unless you had good reason to believe it was true. Or if you included a warning that includes key information (it’s not clear what “key information means”) about investing in this type of asset. So, don’t worry. Even though it says you are liable, all you need to do is believe it yourself or issue a warning and you are off the hook. Again, nice try, but not likely to create any level of enforcement. It is truly incredible what lawmakers can pass, isn’t it? The basics: they stay basic The Malta regulation provides clear directives regarding the ICO whitepaper writing required. The basics haven’t changed. A whitepaper, as defined in the law, is pretty much a business plan. You have to state what the business is about clearly, not omit anything of substance unless it would harm your company, and you need to write a summary. To comply with Maltese law the ICO whitepaper writing should be in English, and you can translate to any other language you like. The technical details are the sticky part To create a Malta-compliant ICO whitepaper becomes a serious undertaking when you dive into the details, 38 of them, to be precise. The regulation addresses the minutiae of the technical requirements in a way that reflects just how much regulators truly understand technology startups. In order to be compliant the whitepaper needs to delve into the protocol and platform, describe the project’s scalability and sustainability, technological risks, functionality of the tokens, interoperability, consensus algorithm, incentivization model, details of the smartcontracts, smartcontract protocols, and auditing mechanisms. The details of the AML and KYC are also required. While this seems like an admirable attempt to get a real sense of the technology being developed, the problem lies in the fact that developing new technology requires flexibility. The blockchain space is still in early stages, and while some areas are well-established, others are still being explored. For example, in the area of AML and KYC, there are off-the-shelf and SaaS platforms to perform those basic functions. It doesn’t make sense to develop your own KYC, because if you use these platforms, they’ll keep you protected. In the same way, you can use off-the-shelf token issuance platforms with built-in smartcontract auditing. On the other extreme, consensus mechanisms, particularly in the area of governance, are still in the emergent stages. Proof-of-work is on its way out and proof-of-stake mechanisms are still being improved. The longer it gets, the stranger the tale The Malta regulation requires a high level of detail on the technology, including the blockchain technology, security mechanisms, etc. Is this something that either investors or government officials can understand well enough to regulate? As writers in the tech world for cumulatively over a century, we’ve been flatly unimpressed by many of extensive technical sections we’ve read in recent ICO whitepapers and STO whitepapers. (Some of the technology sections are fantastic, but the majority are not.) One of our observations is that companies that have absolutely no reason to develop proprietary blockchains are saying that they will do so, expounding on the reasons why their blockchain is necessary. These whitepapers utilize terminology which may have been interesting 3 years ago, but today is common knowledge. These technical sections tend to lack imagination and generally point to the fact that their CTO probably isn’t qualified. In fact, recently I had inquiries from companies that asked us to help find them a blockchain engineer to write these sections. Does this mean they are scammers? Sometimes. More frequently it means they are legitimate startup people with a business idea that makes sense but they don’t need blockchain. They are just using the blockchain terminology and the ICO in order to raise money. They are inflating the technology section around blockchain because that’s what investors want to hear. At least, that’s what they tell me investors want to hear. In short, the technology section requirement isn’t likely to help anyone make better investments, but it will inflate your whitepaper, take you longer to write, and cost more. In conclusion In conclusion, we are neutral about the Malta regulation. From our business perspective, it’s good for service providers but not so good for founders. Theoretically, once there is a standardized process, it should be cheaper and faster to issue a Security Token Offering (STO) or a Initial Coin Offering (ICO), but in fact, we are seeing just the opposite. Most of the companies we’ve been working with lately are finding the process harrowing and the legal fees even higher than before. Similarly, for us as ICO whitepaper writers there will be more opportunities, and the whitepapers are longer. In other words, the whitepapers will cost more. Is more better? We doubt it. Business will go on as usual, regardless of the level of detail of your business plan, STO whitepaper or ICO whitepaper. Having a great whitepaper isn’t the same as having a good business, and having a good business isn’t the same as being good at raising capital. The best thing we can say about the regulation is that it creates a greater barrier to entry for ICO and STO fundraising. Unfortunately, that’s also the worst thing we can say about it.

Is the Malta ICO regulation crypto-friendly?

With hundreds of compelling crypto projects in development and dozens announced each week, it’s challenging for enthusiasts and investors to stay on top of major events. The existing news platforms are often slow, unreliable or biased, and the deep research options are unimaginative. Despite immense momentum for the industry, there’s still no standout product in crypto news and information. This is the void we’re aiming to fill with — named for “Blockchain” plus “Terminal”. Berminal Berminal.com Desktop Product At its core, Berminal is a powerful crypto and blockchain information platform with a mobile app and desktop product. The crypto industry moves fast. Project foundations, exchanges, banks, and regulatory agencies often make sudden changes that wildly shift market sentiment. Berminal’s team of journalists are among the first to aggregate and publish all of the breaking announcements in a digestible format, hand-crafted for mass consumption. Berminal is also committed to supporting traders and technicians, as candlestick charts powered by TradingView are built into the desktop platform. Berminal thrives as a live crypto news platform and trading hub. Berminal also succeeds as a research platform because of its robust functionality and tools. With historical data and resources for each asset, a savvy crypto investor will feel at home jumping into deep analysis. We’ve sourced whitepapers, official social media accounts and websites, and quantitative data around token economics to give investors the total information package as they dive into analysis of nascent projects. You can or send yourself the link over text message by . download Berminal going here Product Features The clean interface of the Berminal platform is intuitively navigated. Tabs for the News Feed, Live Market Data, and User Profile serve distinct purposes to drive home a complete research experience. Whether you’re looking to read the day’s news or complete a deep-dive into a specific crypto asset, the Berminal platform has all of relevant data and features you’ll need. We’ll detail each of the mobile app’s three major tabs below. Berminal News Feed (Home Tab) Open the Berminal News Feed from the app or website and you will find the most important and timely information about the entire crypto space. It’s updated around the clock and available in 11 different languages. The News Feed is the heart of the platform because it’s curated manually by over a dozen experienced, multilingual crypto journalists from around the world. Every story in the News Feed is sourced, summarized and translated into all 11 languages instantly. This makes Berminal a convenient solution for crypto enthusiasts globally. News Feed navigation and content discoverability is made easy through five swipe-able categories titled Featured, Regulation, Influencer, Official, and All. Language options are toggled quickly through a dropdown menu in the top left corner of the screen. Story sentiment is gauged through reader voting, where readers express bullish or bearish sentiment for each piece of content. Readers looking for historical articles can use the search function to find the exact content they want. Each article can be saved to a favorites list or shared individually across social networks and messaging apps with just a few taps. The Home Tab has powerful functionality laid out in a surprisingly intuitive way. Live Market Data (Market Tab) The Live Market Data tab features asset-specific live price data, charts, news, and both technical and fundamental analysis for over 100 assets. Navigating to the asset of your choice is made easy through tabs for both a customizable watchlist and a complete list of assets in the app. From either list, just tap on the asset of your choice to view its Detail Page. The Detail Pages house all of the project-specific information we’ve compiled, and can serve as a research hub for crypto investors of all levels of sophistication. The Detail Page is where you’ll find everything from launch dates, token economics, total supply, lists of key investors, consensus algorithms, handcrafted original project summaries, and links to white papers, official social profiles and websites. A newly launched feature brings mapping of Long-Short Ratios for each asset to the Detail Page. The Long-Short Ratios map the most recent pending orders sourced from Bitfinex and Binance. Use the Market Tab to drill down into the specific projects you care most about. All of the information you could want is available, empowering readers to get up to speed on the latest developments quickly. User Profile (Me Tab) The User Profile tab introduces the BERM Utility Token and Protocol. In its first iteration, users can earn BERM for creating an account from this tab. Refer-a-friend functionality also lives here, where users can earn additional BERM for making successful referrals. Downloading the app through will get you 50 BERM tokens. this link BERM will ultimately play a crucial role in protocol governance, incentivizing good behavior in a system designed to decentralize news and the dissemination of information online. As detailed in our , the Berm Protocol will empower readers and BERM token holders to elect Content Delegates, tasked with validating information reported by content creators. The Content Delegates will be required to stake BERM to participate, and they will also earn BERM for successful curation and validation. The Berm Protocol is currently in development, being built on top of IOST, and we plan to reveal more about our progress soon. whitepaper The User Profile tab links to , which has trended on Combot as the fastest-growing group on Telegram for most of the July, exploding to 75,000+ members in just a few weeks. Berminal’s Official Telegram Group Product Outlook — What’s Next The team at is hard at work designing and building new powerful features. Look for rollouts to include advanced technical analysis, customizable charting, more robust community functionality and much more over the coming months. We’ve built a foundation for the ultimate crypto research terminal, but we’re far from finished. Berminal We launched Berminal just over a month ago and early feedback has been overwhelmingly positive. We’ve grown quickly with over 300,000 users and 75,000 Telegram members, and we’re excited to connect with the people that have found Berminal useful. If you have product feedback, want to join the team (we’re hiring!) or just want to connect we’d love to hear from you. Send us an email at or drop a comment below. hello@berminal.com The Berminal Team More Resources: , , , , Berminal Whitepaper Twitter Telegram Homepage Download Link

Introducing Berminal: The Crypto News Platform

Strategy Development and Implementation While most strategies that are successful long term are based on a mix of technical and fundamental factors, the fundamental behaviors which are exploited are often very nuanced and vary hugely, so its hard to generalize for an article. As such, we’ll be focusing more on the tools and methods for making strategies based on technical analysis. Visual Strategy Creation and Refinement There are many great financial charting tools available, with various different specialties, my personal favourite free option being . tradingview.com _Live quotes, free charts and expert trading ideas. TradingView is a social network for traders and investors on Stock…_www.tradingview.com Free Stock Charts, Stock Quotes and Trade Ideas One of the most useful features for creation is its simple scripting language to create both trading indicators and back-testable strategies. While the back-testing tool is rather limited in its functionality, it serves as a good first step sanity check. strategy Simple creation of trading indicators which are then overlaid directly onto the chart allows for rapid testing and debugging of ideas, as its much quicker to create a script and visually check it against the market than to fully implement and back test it. This rapid development process is a good first step to making certain types of strategies, particularly for active trading strategies that act on single symbols at a time. However, it won’t do you any good for portfolio strategies or those which incorporate advanced hedging. For that, you’ll want to create your own tools for visualising full back-tests with multiple trading pairs. This is where the logging features of your back-tester will come in. With the end results being plotted in your graphing tool of choice, such as (for ). matplotlib Python _Matplotlib is a Python 2D plotting library which produces publication quality figures in a variety of hardcopy formats…_matplotlib.org Matplotlib: Python plotting - Matplotlib 2.2.2 documentation Full Back-tester Framework: (Simple example of a multi-symbol back-tester based on position handler from — full script at end of this post) previous article _For example, if a stop-loss order would have been triggered during the span of a bar, then you'd want to add some…_blog.alpaca.markets Algo Trading for Dummies - Building a Custom Back-tester (Part 3) Various plots, such as scatter graphs or hierarchical clustering, can be used to efficiently display and contrast different variations of the back-tested strategy and allow fine tuning of parameters. Implementing and Back-testing One of the easiest traps to fall into with the design of any predictive system is over-fitting to your data. It’s easy to see amazing results in back-tests if a strategy has been trained to completely fit the testing data. However, the strategy will almost certainly fall at the first hurdle when tested against anything out of sample, so is useless. Meanwhile, at the other end of the spectrum, it is also possible to create a system which is overgeneralised. For example, a strategy which is supposed to actively trade the S&P 500 could easily turn a profit long term by always signaling long. But that completely defeats the purpose of trying to create the bot in the first place The best practices for back-testing a system: Verify against out of sample data. If the strategy has been tuned against one set of data, it obviously going to perform well against it. All back-tests should be performed against a different set of data, whether that be a different symbol in the same asset class or the same symbol over a different time sample. Verify all strategies against some kind of benchmark. For a portfolio strategy you’d want to compare risk-adjusted returns metrics. For an active trading strategy you can look at risk:reward and win rate. Sanity check any strategies that pass the back-test. Where possible, look back over the specific set of steps it takes to make any trading signals. Do they make logical sense? If this isn’t possible (for example with Machine Learning), plot a set of its signals for out of sample data. Do they appear consistent and reasonable? If the strategy has gotten this far, run live tests. Many platforms offer paper-trading accounts for strategy testing. If not, you may be able to adapt your back-testing tool to accept live market data. Once you finally have a fully tested and working strategy which you are happy with, you can run it with small amounts of capital on a testing account. While the strategy may be perfect, there is always the possibility of bugs in the trading bot itself. Final Thoughts Creating any effective trading strategy is hard, especially so when you also have to deal with defining it in objective terms that can be converted into code. It can be especially frustrating when nothing seems to produce reliable results. However, sticking to good practices when it comes to the data science of back-testing and refining a strategy will pay off vs learning those same lessons when a strategy under-performs with real money. By Matthew Tweed Full back-tester framework: Please follow and for fresh posts on Financial Market, Algorithmic Trading, Technology. Alpaca Automation Generation You can find us , if you use twitter. @AlpacaHQ If you’re a hacker and can create something cool that works in the financial market, please check out our project “ Commission Free Stock Trading API ” where we provide simple REST Trading API and real-time market data for free. Brokerage services are provided by Alpaca Securities LLC ( ), member FINRA/SIPC. Alpaca Securities LLC is a wholly-owned subsidiary of AlpacaDB, Inc. alpaca.markets

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