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Social Intelligence for Crypto, NFTs, and Stocks - there's more to markets than trading off price.

Lunar Crush

As a trader, you might wonder how you can take your trading to the next level. The is perfect for traders who want to write scripts and work with bots to trigger specific trade activity, but you need a platform that will let you perform the trades. LunarCrush monitors the internet for signals that will identify your next asset opportunity. LunarCrush API If you’re familiar with 3Commas, then you know that it’s a platform for trading with bots. You connect your favorite exchange to your 3Commas dashboard account, and you can automate much of the research and trading that takes hours to do manually. The platform also has an API that can be used in conjunction with the LunarCrush API. LunarCrush serves as your automated research tool, and the 3Commas API serves as a way to take botted action when the LunarCrush research reaches specific thresholds that you determine and design in your scripted bot. The LunarCrush API returns numerous signals that can be used in custom trader scripts. Using custom scripts with LunarCrush and 3Commas gives you more flexibility in what you want to do instead of being tied to preset features coded in the dashboard. This simple starter guide will help new traders get acclimated to the LunarCrush API and see what it can do for trader bots. In this example, we’ll use Galaxy Score, which is a score calculated from several social and price metrics. You can read about the other LunarCrush makes available from the API, but this guide will focus on Galaxy Score as an example. data A brief description of Galaxy Score: Galaxy score™ is a combination of four metrics — the price score, social impact score, average sentiment, and correlation rank. It measures the relative price appreciation between current and previous interval MACD (moving average convergence divergence), engagement and impact across various social media platforms, average sentiment classified by our machine-learning engines, and correlation of social media volumes and spam to price and volume. The metrics are aggregated and normalized to a scale of 100. To understand more about why you would use Galaxy Score to guide your trades, check out the illustrating LunarCrush and 3Comma bots work together. These videos will help you figure out the best ways to work with LunarCrush data and use them to build automation into your trading in 3Commas. Trading Parrot videos Using Galaxy Score, a trader could identify the top crypto opportunities for several assets and trigger trades on the 3Commas platform. You first retrieve the top opportunities via the LunarCrush API endpoint and then use the endpoint on the 3Commas API to act. Before you decide on the action that you want to take, make sure that the action is available on the . coins smart_trades 3Commas API Before you start, you need: . A LunarCrush API key , which requires signing up for their dashboard service. You can create a key with a 3-day trial account to test it out. A 3Commas API key Writing a Simple Python Script to View Coin Data We’ll be using Python as our scripting language, but you can see several other language examples in the . For brevity, we’ll return only the top 2 coins and look at the JSON output. You can, of course, pull the top 10 or top 20 coins and review them. LunarCrush documentation The sort and limit parameters can be used on the coin endpoint to perform the query. Since the galaxy_score sort value sorts with the most popular asset first, you can use it with a limit value of “2” to get the top two assets. The following code snippet uses the API to pull the top 2 coins based on their Galaxy Score and prints them to the screen: import requests
import json


# Define the URL for lunarcrush and set the authorization header. 
# This header is standard when passing keys to an API and must be present to
# successfully execute queries against the API.

apiUrl = "https://lunarcrush.com/api3/coins?sort=galaxy_score&limit=2"
headers = {"Authorization":"Bearer <your_api_keys>"}
response = requests.request("GET", apiUrl, headers=headers)

print(json.dumps(response.json(), indent=2)) The print command displays: {
"data": [
    {
      "id": 72743,
      "s": "SUZUME",
      "n": "Shita-Kira Suzume",
      "p": 3.8585999e-06,
      "v": 400666.64,
      "pc": -8.82,
      "pch": -3.15,
      "mc": 0,
      "gs": 68,
      "gs_p": 48,
      "ss": 824467,
      "as": 3.354166666666666,
      "sv": 1261,
      "c": 79,
      "sd": 0.2051035394961736,
      "d": 0,
      "acr": 750,
      "acr_p": 30,
      "tc": 1660255200,
      "categories": "defi,erc20,meme"
    },
    {
      "id": 483,
      "s": "BOMB",
      "n": "BOMB",
      "p": 0.21063406,
      "v": 131720.37,
      "pc": 8.72,
      "pch": -0.88,
      "mc": 172195,
      "gs": 67,
      "gs_p": 36.5,
      "ss": 186953,
      "as": 3.7999999999999994,
      "sv": 60,
      "c": 5,
      "sd": 0.005897728801816271,
      "d": 1.7071053333987078e-05,
      "acr": 160,
      "acr_p": 428,
      "tc": 1567036800,
      "categories": ""
    }
  ]
} The gs value is the Galaxy Score metric, so as you can see SUZUME is the first asset listed with a Galaxy Score of 68. BOMB is the next asset with a Galaxy Score of 67. We can step through each of these values to act as the 3Commas API. The first step is to add a loop to the code to iterate through each asset. In this example, the name of the asset and its Galaxy Score are printed but will be replaced with 3Commas API action calls: import requests
import json

# Define the URL for lunarcrush and set the authorization header. 
# This header is standard when passing keys to an API and must be present to
# successfully execute queries against the API.

apiUrl = "https://lunarcrush.com/api3/coins?sort=galaxy_score&limit=2"
headers = {"Authorization":"Bearer <your_api_keys>"}
response = requests.request("GET", apiUrl, headers=headers)
res = response.json()

print(json.dumps(response.json(), indent=2))


# Loop through each coin in the response
for coin in res['data']:
    print("name: ", coin['s'])
    print("galaxy score: ", coin['gs']) Now that you’ve tested the LunarCrush API, you can add code to act on the 3Commas API. We’re doing a simple trade in the following code with the new 3Commas code bolded: import requests
import json
import os
from py3cw.request import Py3CW

p3cw = Py3CW(
key='<your_3commas_key>',
secret='<your_3commas_secret>',
request_options={
'request_timeout': 10,
'nr_of_retries': 1,
'retry_status_codes': [502]
}
)


# Define the URL for lunarcrush and set the authorization header. 
# This header is standard when passing keys to an API and must be present to
# successfully execute queries against the API.

apiUrl = "https://lunarcrush.com/api3/coins?sort=galaxy_score&limit=2"
headers = {"Authorization":"Bearer <your_api_keys>"}
response = requests.request("GET", apiUrl, headers=headers)
res = response.json()


# Loop through each coin in the response
for coin in res['data']:
    # Send the coin information to 3Commas and make a purchase
    error, data = p3cw.request(
        entity='smart_trades_v2',
        action='new',
        payload={
            "account_id": your_account_id,
            "pair": "<your_pair>",
            "instant": "true",
            "position": {
                "type": "buy",
                "units": {
                    "value": "0.01"
                },
                "order_type": "market"
            }
        }
    ) In this code snippet, the p3cw 3Commas wrapper simplifies all the calls to the API. The “entity” can be one of several listed in the . In each of the entity helpers, you can read how to send a payload (command) to the API to act. In this example, trade is done using the smart_trades_v2 endpoint, but you can also make changes to a bot, your account, deals, and the marketplace. wrapper documentation You can add a filter to drill down even further. It’s not enough to pull only coins with the highest Galaxy Score for some traders. You might want a coin with a high trading volume, market cap, or one within a specific category. This filter would be programmed in your Python script, so it takes some extra development. Let’s take the script and edit it to only work with coins in the NFT category. import requests
import json
import os
from py3cw.request import Py3CW

p3cw = Py3CW(
key='<your_3commas_key>',
secret='<your_3commas_secret>',
request_options={
'request_timeout': 10,
'nr_of_retries': 1,
'retry_status_codes': [502]
}
)


# Define the URL for lunarcrush and set the authorization header. 
# This header is standard when passing keys to an API and must be present to
# successfully execute queries against the API.

apiUrl = "https://lunarcrush.com/api3/coins?sort=galaxy_score&limit=50"
headers = {"Authorization":"Bearer <your_api_keys>"}
response = requests.request("GET", apiUrl, headers=headers)
res = response.json()


# Loop through each coin in the response
for coin in res['data']:
    # The chosen filter is to only work with coins in the NFT category, 
    # so eliminate anything that isn't an NFT
    # You can use any filter you want from the LunarCrush categories
    if coin['categories'].find('nft') > -1:
        # Send the coin information to 3Commas and make a purchase
        error, data = p3cw.request(
            entity='smart_trades_v2',
            action='new',
            payload={
                "account_id": your_account_id,
                "pair": "<your_pair>",
                "instant": "true",
                "position": {
                    "type": "buy",
                    "units": {
                        "value": "0.01"
                    },
                    "order_type": "market"
                }
            }
        ) The newly added lines of code are bolded. It determines if the asset is in the NFT category before processing it on the 3Commas API. You can filter trades even further using any of the data points returned by LunarCrush. Here is the output using a coin with its annotations to describe values you’ll find in the API: {
      id: 11880 LunarCrush internal ID for the asset,
      s: RAY symbol,
      n: Raydium Protocol name,
      p: 0.65456285 Price,
      v: 27393233.82 Volume (USD),
      pc: 6.9 Percent change (24 Hours),
      pch: -1.04 Percent change (1 Hour),
      mc: 87523220 Market cap,
      gs: 70.5 Galaxy ScoreTM,
      gs_p: 40.5 Galaxy ScoreTM previous 24h,
      ss: 59960 Social score/engagement,
      as: 4.029166666666666 Average sentiment - using a scoring system from 1 to 5 with 1 being very bearish and 5 being very bullish,
      sv: 63 Social volume/mentions,
      c: 14 Social contributors (24 hours),
      sd: 0.014487283164701735 Social dominance,
      d: 0.008159268441644609 Market dominance,
      acr: 198 ALTRankTM,
      acr_p: 515 ALTRankTM previous 24h,
      tc: 1619553600 Time created,
      categories: defi, solana,
        
    } LunarCrush returns the highest-scoring datasets by default, meaning that the default sort order is the highest Galaxy Score coin to the lowest Galaxy Score coin. The limit is set to 50 in this latest example, so the top 50 coins based on Galaxy Score are returned. You may at some point want to get the lowest value Galaxy Score coins, so you can reverse the sort order using the “desc” parameter. Here is the same code, but in descending order: import requests
import json
import os
from py3cw.request import Py3CW

p3cw = Py3CW(
key='<your_3commas_key>',
secret='<your_3commas_secret>',
request_options={
'request_timeout': 10,
'nr_of_retries': 1,
'retry_status_codes': [502]
}
)


# Define the URL for lunarcrush and set the authorization header. 
# This header is standard when passing keys to an API and must be present to
# successfully execute queries against the API.

apiUrl = "https://lunarcrush.com/api3/coins?sort=galaxy_score&limit=50&desc=1"
headers = {"Authorization":"Bearer <your_api_keys>"}
response = requests.request("GET", apiUrl, headers=headers)
res = response.json()


# Loop through each coin in the response
for coin in res['data']:
    # The chosen filter is to only work with coins in the NFT category, 
    # so eliminate anything that isn't an NFT
    # You can use any filter you want from the LunarCrush categories
    if coin['categories'].find('nft') > -1:
        # Send the coin information to 3Commas and make a purchase
        error, data = p3cw.request(
            entity='smart_trades_v2',
            action='new',
            payload={
                "account_id": your_account_id,
                "pair": "<your_pair>",
                "instant": "true",
                "position": {
                    "type": "buy",
                    "units": {
                        "value": "0.01"
                    },
                    "order_type": "market"
                }
            }
        ) Try out both code snippets to see the difference in your dataset. We limit it to 50 coins, but you can leave the parameter empty to return all coins or limit your dataset even further.** ** While this is a simple script, you can get much more creative and complex by writing your bots in the language of your choice. The two APIs offer a flexible way to control your trade activity to optimize your profits and lower your overhead. For example, you could write a script that continually polls the LunarCrush API for the best opportunities and automatically performs trades without lifting a finger. Lower Your Research and Immediately Capitalize on Asset Opportunities Building with LunarCrush introduces opportunities that you might not know without hours of research and constant monitoring. Let LunarCrush help you simplify and automate your discovery process, and use it to automate trades against any bot interface. Check out what’s happening in the market__ now, or . sign up to get started

Your First Simple Crypto Trading Bot Using LunarCrush and 3Commas

Imagine your own custom Twitter Bot posting real-time market updates for your favorite cryptocurrencies. It is possible with Python, , and . Below we will outline a step-by-step process utilizing Python. The bot pulls information from . The metrics for Bitcoin, Ethereum, Litecoin stored as formatted variables and tweeted out automatically every 30 minutes. Tweepy LunarCRUSH LunarCRUSH Setting up a Twitter Development Account and Tweepy Let’s start off by installing . It’s simple enough through terminal using the pip command: Tweepy pip install tweepy Next, you need to create a .Twitter for Developers provides access to the Twitter API in order to Publish and analyze Tweets, optimize ads, and create unique customer experiences. Check out the . You can perform multiple tasks through this API. See below some of them:Post and retrieve tweetsFollow and unfollow usersPost direct messagesBefore you are able to use the Twitter API endpoints, create a developer account and generate your API keys. . You must answer questions on how you plan to use the API and accept the Twitter Developer Agreement, and then you will be granted access to the Developer Dashboard.Once you are approved access to the Developers for Twitter, log in to the and create your App. This step will automatically generate your consumer API keys and access tokens, remember, you should keep them secret: Twitter developer account Twitter API documentation here You can apply for a developer account directly here developer site The developer account should be linked to the Twitter account where you want to have the bot active. From the Twitter Development platform, you are able to edit the app permissions. In my example, I have granted my app permission to read, write and send direct messages. Introduction to LunarCRUSH — Social Listening For Crypto In order to start pulling in cryptocurrency social insights, you must head over to and set up an account. LunarCRUSH.com In the left-hand navigation, head to Developers and select API Docs. Generate V2 API Key Once you are in the API Docs, generate your V2 API Key. Building a Twitter bot with Python, Tweepy, LunarCRUSH Let’s start building our Twitter bot. As mentioned previously, you will use the which works seamlessly with Twitter API and LunarCRUSH API / LunarSTREAM™.First, import . Tweepy makes it easier to authenticate to the API through our Twitter App secret keys.Below is an extract of code, do this by creating a instance to bypassing the consumer key and consumer secret as arguments.In order to be able to make requests to the API, send back an access token. Use the method to store the access request token for our session. . Note that I have included ‘ instead of my real secret keys. Replace ‘ with your secret keys that you can obtain in your . Tweepy library tweepy OAuthHandler handle our login auth.set_access_token Now, you are ready to control our Twitter Account with Python XXX’ XXX’ Twitter Developers Dashboard tweepy urllib.request ssl json time
ssl._create_default_https_context = ssl._create_unverified_context consumer_key = consumer_secret = access_token = access_token_secret = auth = tweepy.OAuthHandler(consumer_key, consumer_secret)
auth.set_access_token(access_token, access_token_secret)
api = tweepy.API(auth) import import import import import # Oauth keys "XXX" "XXX" "XXX" "XXX" # Authentication with Twitter Our variable is where you store the auth settings. You will use it to make requests to the Twitter API.The idea of this twitter bot is to publish a different tweet, every x amount of minutes with specific cryptocurrency coin / token metrics. This can be easily done using & .Let’s add our LunarCRUSH API Keys to the code. Simply add: api LunarCRUSH API LUNARSTREAM™ api_key = "XXX" Now you are authenticated with LunarCRUSH API. It is time to decide which Cryptocurrencies you would like to integrate into your tweets. Use to store the different crypto symbols. For instance, ‘LTC’ is Litecoin, ‘ETH’ is Ethereum, and ‘BTC’ is Bitcoin. coin_list coin_list = [ , , ]
coins = .join(coin_list) # Allows adding as many coins as desired "LTC" "ETH" "BTC" ',' A list of the fields desired from the API — key is the LunarCRUSH key, and the value is the field name outputted to Twitter. { : } "LUNAR_CRUSH_KEY" "RENDERED_NAME" For example, to add tweet_replies: { : }, "tweet_replies" "Tweet Replies: " you would add this to the list below. List comprehensions provide a concise way to create lists. Common applications are to make new lists where each element is the result of some operations applied to each member of another sequence or iterable, or to create a subsequence of those elements that satisfy a certain condition. — Python Data Structures Docs Now you can map which values you would like to pull from LunarCRUSH API. As the program becomes more complex, this should be written in a more robust manner. map = [
    { : },
    { : },
    { : },
    { : },
    { : },
    { : },
    { : },
    { : },
    { : },
    { : },
    { : },
    { : },
    { : },
    { : }, "name" "" "symbol" "" "price" " Price: " "percent_change_24h" " - 24 Hour Percent Change: " "market_cap" " Market Cap: " "volume_24h" " 24 Hour Volume: " "url_shares" " URL Shares: " "reddit_posts" " Reddit Posts: " "tweets" " Tweets: " "galaxy_score" " Galaxy Score: " "volatility" " Volatility: " "social_volume" " Social Volume: " "news" " News: " "close" " Close: " Now, iterate over each of the fields from LunarCRUSH which gets the value from LunarCRUSH and renders it with the field name. url = + api_key + + coins
    assets = json.loads(urllib.request.urlopen(url).read()) asset assets[ ]:
        asset_tweet = field map:
            key = list(field.keys())[ ]
            value = list(field.values())[ ]
            asset_tweet = final_render(asset_tweet, value, key, asset)
        print(asset_tweet)
        print(len(asset_tweet)) api.update_status(status=asset_tweet) :
    main()
    time.sleep( ) : def main () "https://api.lunarcrush.com/v2?data=assets&key=" "&symbol=" for in 'data' "" for in 0 0 # Posts tweets # Runs main() every 30 minutes while True 1800 Complete Python Code Full code Github Repository Example Crypto Twitter Bot Tweet Additional Functionalities to Include in a LunarCRUSH + Python Twitter BotNot only can you post tweets; our LunarCRUSH Python Tweepy Twitter Bot can perform additional functionalities.For example:Pull information about a particular Twitter user — Send direct messages — Follow and unfollow users — Block and unblock users — User methods Direct Message Methods Friendship Methods Block Methods Configuration Options It is possible to configure the bot to extract additional features. For example: ?key={API_KEY_HERE} - Required to render the widgets.
?symbol=BTC - Change the symbol that displayed the widgets.
?interval= Week - Change the time interval being displayed the charts (default Week).
?price_correlation=true|false - Show a price line addition to the selected metric (default = false)
?metric=galaxy_score - Change the timeseries metric being displayed (Metric widget only).
?animation=true|false - Show hide component animations (default = true)
?theme={See themes section instructions}
?scrolling=true|false (default = true) - Enable disable scrolling on the widget inner content. Use this you want to set scrolling=false on the iframe a fixed height but still want to allow scrolling within the widget. is in 1 in is 1 in or for or if with You have the ability to configure and add all available metrics from LunarCRUSH: market_cap (Market Cap)
galaxy_score (Galaxy Score)
price_score (Price Score)
average_sentiment (Average Sentiment)
social score (Social Impact Score)
market_cap (Market Cap)
galaxy_score (Galaxy Score)
price_score (Price Score)
average_sentiment (Average Sentiment)
social score (Social Impact Score)
correlation_rank (Correlation Rank)
volatility (Volatility)
social_score (Social Volume)
social_volume (Social Volume)
twitter_volume (Twitter Volume)
reddit_volume (Reddit Volume)
news_volume (News Volume)
search_volume (Search Volume)
spam_volume (Spam Volume)
bullish_sentiment (Bullish Sentiment)
bearish_sentiment (Bearish Sentiment)

Metrics Widgets
average_sentiment (Average Sentiment)
correlation_rank (Correlation Rank)
galaxy_score (Galaxy Score)
market_cap (Market Cap)
market rank (Market Cap Rank)
news_articles (News Volume)
popular_tweet (Popular Tweets)
price_btc (Price BTC)
price_score (Price Score)
priceclose (Price Close)
pricehigh (Price High)
pricelow (Price Low)
priceopen (Price Open)
reddit_comment (Reddit Comments)
reddit_post (Reddit Posts)
reddit reddit_comment (Reddit Volume)
search_average (Search Volume)
social score (Social Impact Score)
social_score (Social Volume)
tweet (Twitter Volume)
tweet_sentiment1 (Very Bearish Sentiment)
tweet_sentiment2 (Bearish Sentiment)
tweet tweet_sentiment (Negative Sentiment)
tweet_sentiment3 (Neutral Sentiment)
tweet_sentiment4 (Bullish Sentiment)
tweet_sentiment5 (Very Bullish Sentiment)
tweet sentiment5 (Positive Sentiment)
tweet impact1 (Very Bearish Sentiment Impact)
tweet impact2 (Bearish Sentiment Impact)
tweet impact3 (Neutral Sentiment Impact)
tweet impact4 (Bullish Sentiment Impact)
tweet impact5 (Very Bullish Sentiment Impact)
tweet_spam (Spam Volume)
volatility (Volatility)
volumefrom (Market Volume Open)
volumeto (Market Volume Close) _impact_ _impact_ _cap_ _post_ _impact_ _sentiment2_ _sentiment4_ _sentiment_ _sentiment_ _sentiment_ _sentiment_ _sentiment_ Final Thoughts Within a few lines of code, your easily configurable Twitter bot now pulls data from LunarCRUSH and automatically engages your audience with real-time reliable social insights.There are a few things that can be done to improve the code, such as additional LunarCRUSH parameters to tweet robust cryptocurrency data or visually appealing tweets with images and hashtags.Please let me know in the comments if you have any questions or suggestions. Share your knowledge, open source your projects, participate in a community (any community!), and maybe just maybe publish a blog post about it. Knowledge is Power! Constructive criticism and feedback are welcomed. Nicholas Resendez can be reached on Instagram @nirholas , on LinkedIn , and Twitter @nickresendez for updates on new articles.

Building a Twitter Bot to Automate Posting Cryptocurrency News with Python [A Step-by-Step Guide]

Embracing Change and Finding Happiness in the Unknown Life is always full of surprises, and as we venture into the realm of artificial intelligence, we are witnessing an exciting new chapter in human history. Like the twists and turns of our own personal journeys, the development of AI brings with it the promise of new paths, people, and ideas. It's a thrilling time to be alive, and as we continue to explore the ever-evolving landscape of AI, it's essential to stay the course, follow our hearts, and remain true to our ideals. In a world that is continuously evolving, our conscience serves as a guiding light, and it's essential to listen to our inner voice as we navigate the uncharted territory of AI. Happiness, after all, is what we are all striving for, and the advancements in AI have the potential to create a happier, more fulfilling future for all. Just like life, the progression of AI is filled with unexpected events and bittersweet moments. We cannot always time everything perfectly, but as long as we can adapt and continue to move forward, we are on the right track. The recent breakthroughs in AI, such as ChatGPT by OpenAI, are prime examples of the incredible progress we have made, and yet, there is still so much more to discover. If you are working in the service economy you would have to be fighting hard to not see the headlines that AI is coming for your job soon. It’s been plastered all over the internet and it sure is intimidating. Publications like Forbes (1) and CNBC (2) are shouting that you’ll lose your job, all the while there are running lists of tech layoffs (3) as this rolling recession continues. Embracing this journey requires constant self-improvement and the willingness to learn. As we continue to develop AI technology, we must also strive to improve our own outlook, personality, goals, and maturity. We have a unique opportunity to put ourselves through a progression of self that many in history will not have a chance for, and it's vital that we seize this opportunity with open arms. The future of AI is filled with both promise and uncertainty, but it's up to us to face these challenges head-on and learn from them. It may take time to muster up the confidence and ability to turn our thoughts into actual decisions, but once we do, the rewards will be well worth the effort. Reinventing yourself is not easy but if it were it would not be so rewarding. Alas, please do not forget, this is not the first time in history new technologies came for your job. Farming and agriculture (4) made up the super majority of work for over 50 years in America. The rise of new techniques and technologies which had the ability to seem as mind blowing, if not more impressive than artificial intelligence, came their way. The logistical disruption planes, trains, and automobiles had on the broader economies must have felt similar if not more impactful. If you take a moment to linger, the disruption of 1900-1950 (5) seems much more incredible than 1970 - 2020 (6). I mean, come on, we had air conditioning in 1902, what else did you need?! The point here is the disruption will likely be much slower than the ‘end of times’ article you are reading on today’s digital newsstand. The initial rush to adopt this new technology will pan out for some businesses and not for others. You will likely see major improvements in software and your experiences using them. For example, who doesn’t want, “Netflix as a prompt” where you can ask to watch an incredibly tailored movie? “Netflix please show me a dystopian future movie set on a goldilocks planet starring Kevin Bacon and myself, make it 1 hour and 45 minutes long because I have a rocket to catch.” My question back would be what kind of true disruption is this? It’s a service economy disruption in the content and media industry. You would then need to ask yourself, well, what kind of device are they watching this content on? Has there been a new piece of hardware invented? Are they watching it on an Oculus VR? How many more Oculus VR competitors are there now? Have there been 50,000 new high tech jobs created because of that? Is it a wearable watch that pulls it up on a hologram? Whoa, how many companies do that? Are there another 200,000 jobs there? These are all questions we do not know the exact answer to. What we do know is historically old jobs get replaced with new jobs. If you look at history, pandemic aside, with all the technological disruption that has happened, the highest sustained rate of unemployment was in 1933 (7) and it was the Great Depression. What caused this? A stock market crash, collapse of world trade, government politics, bank failures, and panics. So the short answer is, no. Even though sliced bread was invented in 1930, technology didn’t come for your job. New inventions and technologies are not coming for you, they are creating an opportunity for you to go create a new one. As we stand at the precipice of a new era in artificial intelligence, let us boldly step forward into the unknown, eager to learn, grow, and find happiness in the ever-changing landscape of AI. Together, we can forge a brighter, more fulfilling future for all – one that is fueled by the limitless potential of AI and the indomitable spirit of human innovation. Author: Joe Vezzani, Co-Founder & CEO @ LunarCrush | Twitter LinkedIn (1) https://www.forbes.com/sites/jackkelly/2023/04/04/workers-face-fears-of-further-layoffs-ai-stealing-jobs-and-higher-inflation/?sh=3c19e6093976 (2) https://www.cnbc.com/2023/04/15/these-are-the-tech-jobs-most-threatened-by-chatgpt-and-ai.html (3) https://techcrunch.com/2023/04/27/tech-industry-layoffs (4) https://www.mckinsey.com/\~/media/mckinsey/featured insights/future of organizations/five lessons from history on ai automation and employment/svg_workfuture_v3_ex2_4_rj_exhibit_2.svgz?cq=50&cpy=Center (5) https://www.timetoast.com/timelines/inventions-between-1900-and-1950 (6) https://www.popularmechanics.com/technology/g24668233/best-inventions/ (7) https://en.as.com/latest_news/what-was-the-highest-unemployment-rate-in-us-history-n/#:\~:text=It is estimated that the,around 25 percent in 1933

The Future of Artificial Intelligence

This is not a history lesson on Bitcoin, & I’m not going to preach about how incredible it is (which it is). This is meant to serve you as a simple resource to get all of the data/information that relates to Bitcoin so that you can create your own unique toolkit. Like a domino effect from hell, institutions that got faked out by COVID & the FED are beginning to topple. It has been unfortunate for many innocent people that got unrightfully caught in the crossfire, my heart goes out to you. However, as one door closed, another opened. This economic shitshow has accelerated the adoption of crypto. Moving forward, digital assets will only grow in popularity as they prove to be more trustworthy than any government; especially BTC. If you still don’t agree with this statement, GTFO. If you don’t want to be the government’s bit*h anymore, WELCOME! Being the foundation upon which the greater cryptocurrency industry has been built, BTC has become the defacto choice for individuals & institutions that are serious about building a diversified, evergreen portfolio. The most difficult task of all when getting into the cryptoverse is organization. Back in the day, navigating the interwebs for Bitcoin was a daunting task; tons of single purpose sites that were tucked away in the ultra-niche crevices of private chatrooms & cypherpunk threads were unusable by many. After 10 years of innovation, one would think its much better now…however, the smorgasbord of multi-purpose tools that are not so neatly randomized by the highest bidder under googles algorithms causes just as much organizational confusion. Instead of just telling you to just go scavenger the internet for different tools/resources, I’ve tried to organize them for you below. The vast majority of these tools are free; very few are behind paywalls. While I don’t appreciate paywalls, I must admit that any paid service included below are honestly awesome. The Original Bitcoin Whitepaper https://bitcoin.org/bitcoin.pdf Market Data: Prices, money flows, trading pairs, exchanges & all the other good stuff — LiveCoinWatch https://www.livecoinwatch.com/price/Bitcoin-BTC — CoinMarketCap https://coinmarketcap.com/currencies/bitcoin/ — Messari https://messari.io/asset/bitcoin — CryptoCompare https://www.cryptocompare.com/coins/btc/overview/ — CoinCodex https://coincodex.com/crypto/bitcoin/ — Conlib https://coinlib.io/coin/BTC/Bitcoin — Blockchain https://www.blockchain.com/explorer/assets/btc — TheBlock https://www.theblock.co/data/on-chain-metrics/bitcoin — CoinDance https://coin.dance/stats — Bitcoinity.org https://data.bitcoinity.org/markets/volume/30d?c=e&t=b — LunarCrush https://lunarcrush.com/coins/btc/bitcoin Tokensight— https://tokeninsight.com/en/coins/2365/overview On-Chain Explorers: Raw blockchain data: blockheights, blocktimes, mempools, & more. — Blockchair https://blockchair.com/bitcoin — Blockstream https://blockstream.info/ — Bitaps https://bitaps.com/ — Bitquery https://explorer.bitquery.io/bitcoin — Blockcypher https://live.blockcypher.com/btc/ — BitcoinExplorer https://bitcoinexplorer.org/ — Sochain https://sochain.com/BTC — Blockpath https://blockpath.com/ — OXT https://oxt.me/ Cool Extras: Data, stats, & insights that you won’t find anywhere else. — Fear & Greed Index https://alternative.me/crypto/fear-and-greed-index/ — Bitcoin Death Tracker https://99bitcoins.com/bitcoin-obituaries/ BitcoinAbuse — https://www.bitcoinabuse.com/ Bitnodes — https://bitnodes.io/ Educational: I have only used a few of these, but have recommended the others to many of my friends that have used & loved them. — Bitcoin Intro https://bitcoin-intro.com/ — Nakamoto Institute https://nakamotoinstitute.org/literature/ — Crypto Startup School https://a16zcrypto.com/crypto-startup-school/ — Cryptocurrency Engineering & Design (MIT) https://ocw.mit.edu/courses/mas-s62-cryptocurrency-engineering-and-design-spring-2018/video_galleries/lecture-videos/ — Blockchain & Money (MIT) https://ocw.mit.edu/courses/15-s12-blockchain-and-money-fall-2018/video_galleries/video-lectures/ — Bitcoin for Everyone https://learn.saylor.org/course/view.php?id=468 — LearnMeABitcoin https://www.youtube.com/@learnmeabitcoin/videos?view=0&sort=dd&shelf_id=0 Books: This is a very small selection of books that I have read (par 1). There are not all just about Bitcoin; these are readings that help structure a mental framework for understanding the bigger picture & implications of it. — The Bitcoin Standard https://saifedean.com/books/the-bitcoin-standard — The Fiat Standard https://saifedean.com/books/the-fiat-standard — Antifragile https://www.amazon.com/Antifragile — The Black Swan https://www.amazon.com/Black-Swan — Digital gold https://www.amazon.com/Digital-Gold — Book of Satoshi https://www.bookofsatoshi.com/ — The Blocksize War https://www.amazon.com/Blocksize-War — Mastering Bitcoin https://github.com/bitcoinbook/bitcoinbook Podcasts: Listen to some of the best quality conversations & discussions about Bitcoin. What Bitcoin Did — https://www.whatbitcoindid.com/ The Bitcoin Standard — https://saifedean.com/podcast Bitcoin Audible — https://bitcoinaudible.com/ Orange Pill — https://orangepill.buzzsprout.com/ Bitcoin Infinity — https://bitcoininfinitypodcast.com/ Blue Collar Bitcoin — https://bluecollarbitcoinpodcast.podbean.com/ Bitcoin Matrix — https://bitcoinmatrix.libsyn.com/ Why Bitcoin — https://whybitcoinpodcast.com/ Cashback & Micro Rewards: A little free fun along the way never hurt anyone (ref links below) — Fold App https://foldapp.com/ — Lolli https://www.lolli.com/ — Satsback https://satsback.com/ — Bitcoinget https://www.bitcoinget.com/ — FreeBitcoin Faucet https://freebitco.in/site/bitcoin-faucet/ These are just a few of the resources that I am personally familiar with & use/have used on a regular basis. There are many reputable people that provide more incredible resources in the space such as & . Jameson Lopp Andreas Antonopoulos I always suggest rather than getting lost in the organization of a million links, just start somewhere. Before you know it, you’ll get further than you think. A little Poem on BTC to close this out: Hard times come & go. Great men suffer & they grow. Fear not failure dear friend, for it too shall pass. Until that time comes, more Bitcoin you must amass See all you sexy motherfuckers on the Moon 🥂 Also published here

All of the Tools You Need to Get Involved With Bitcoin: Get Ahead of the Game

98% of startups fail because they are . Funding is the lifeline of a crypto startup or any startup for that matter. But once a crypto startup raises funds, the risk of failure is shared by both investors and founders. Due diligence is paramount to prevent money from going down the drain. unable to raise funds Events like the and Squid Game rug pull highlight the extreme risk in the crypto market. Investors (both VCs and retail) have lost millions of dollars due to such scams. While it is comparatively easy to identify scam crypto projects, the real challenge is to spot genuine projects with underlying factors that eventually lead to failure. Here are the factors that lead to a crypto startup’s failure: FTX fiasco Inability to raise funds Poor business model Cash crunch Regulation issues Legal challenges Best Tools To Evaluate A Crypto Project For Investment More than 21,000 crypto projects are in existence as of now. Evaluating each one of them is a monumental challenge. It is practically impossible to evaluate even a few hundred of them. Thankfully, there are tools that help VCs and institutional investors assess the potential of a crypto project before investing. Token Sniffer Token Sniffer helps you differentiate genuine crypto projects from scams. You can search for various tokens on both Ethereum and Binance Smart Chain on it. The tool provides real-time metrics and scoring for every token to evaluate risk. You can search any Ethereum or BSC token by its name or contract address to ascertain if a crypto project is a scam. DeFiLlama DeFiLlama is a TVL (total value locked) aggregator that tracks more than 800 DeFi protocols from over 80 different blockchains. TVL is the most significant DeFi indicator that helps you denote the popularity of a crypto project by calculating the number of active users. A growing user base indicates that a crypto project has strong real-world utility. Through DeFiLlama, you can compare the TVL of Layer 1 blockchains, Decentralized apps, and NFT projects. You can simply enter the token’s name on DeFiLlama to measure its TVL. Token Terminal Token Terminal aggregates financial data from the leading blockchain and DeFi applications. The terminal presents the financial metrics of a crypto project in an easy-to-understand way, giving you an insight into the performance of a cryptocurrency. Analyzing a cryptocurrency’s performance is critical before making an investment-related decision. Here are the factors that Token Terminal evaluates: Total Revenue Protocol Revenue Price to Sales Ratio Price to Earnings Ratio Total Value Locked (TVL) LunarCrush LunarCrush is a social intelligence platform that analyzes multiple social media platforms to monitor the sentiment of investors. LunarCrush analyzes millions of social media conversations related to crypto to let you know what people are talking about. Community engagement is vital to the success of any crypto project and LunarCrush helps investors understand the magnitude of community management related to the crypto project they are analyzing. Cointree News The Crypto industry operates 24/7. It is practically impossible for investors to remain glued to their screens around the clock to stay ahead of the trend. Cointree delivers the most important news in the crypto industry directly to your inbox. In a highly volatile industry like crypto, staying up to date with the latest news is critical to making profitable investments. With the most important news directly in your inbox, you can take timely investment-related decisions. Conclusion The crypto industry is a constantly evolving industry and the risk increases with the rise in the number of cryptocurrencies. While it may look like a lucrative investment opportunity, it is extremely important to separate fundamentally strong tokens from scam coins. As an investor, you must assess vital metrics like TVL, community engagement, business model, and tokenomics before putting your money in a token.

5 Tools To Decide If a Crypto Project Is Worth Investing In

*ting, ting* No, that is not your monthly paycheck coming in. It is Hackernoon’s socials notifications! If you say you don’t have any social account, you are either lying or being a kid who is too cool for popular stuff. Face it, there is no faster nor better way to connect than being present on social media. Getting the gist of it, Hackernoon is basically everywhere, from A to Z, covering most of the alphabet with our presence on social media platforms. Newest to the fam, HackerNoon welcomed one of the best heroes who came to rescue us from the bluebird disaster - ! Connect with us on Mastodon ! Mastodon here Here are all the links to these HackerNoon social media channels: Amazon Bloomberg BuiltIn CB Insights Changelog Clubhouse Crunchbase Cryptopanik Den DeepStash DevDojo ( ) Digg Official Blockchain Discourse Everipedia Facebook Feeder Flipboard GIPHY GitHub GitLab Glassdoor Google Books Google News Kaggle Imgur Instagram iTunes Learnerby Library of Congress Linkedin LunarCrush Minds Newsbreak ( ) OpenSea team Pinterest ProductHunt ReadWrite ( ) Reddit other subreddits Refind RSS Showwcase Spotify StartEngine Stitcher Tealfeed Tribel Twitch Twitter Unsplash Wikipedia Yahoo Finance Youtube If you ever got lost in this overwhelming Internet world, get back here and talk to Hackernoon whenever you want about everything tech crazy! Follow us on and also , , , , Twitter Linkedin, Google News, GIPHY, Instagram, iTunes Facebook, GitHub Youtube . Mastodon And of course, is where you can ALWAYS find us! Hackernoon.com

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Tokens and Coins Every day we discover new cryptocurrency projects on different blockchain platforms, where the preselected list can be found on , , or other crypto aggregator sites. Coingecko Coinmarketcap The cryptocurrency projects are categorized as a coin and token. The coin is a native currency of a (in most cases it’s a blockchain, but we have other architectures like ). Smart Contract Platform DAG The token can be emitted by everyone (in the ) on these platforms and in most cases is associated with a cryptocurrency project. Permissionless Blockchain We can also have many tokens or coins associated with one project. In most situations, one is used as a currency and another for protocol governance. A few examples are or . Theta Phantasma Chain . Many of them are scams, don't have a business sense, or are managed by inexperienced teams. For these reasons, people often fail to score profits due to a lack of cryptocurrency understanding. Over 13000 crypto projects are available and this number is growing every day To navigate in this space, we need a framework to narrow the scope of our findings because cryptocurrency research takes some time. This process is called screening, or pre-selection. Screening (Pre-Selection) We have many methods to screen potential crypto projects. We can divide them into 4 groups: 1. – choosing projects based on their social activity, a recommendation from influencers or social media groups. Social Heimdall CoinGossip LunarCrush MoonFactor Evai 2. – usage of metrics from traditional financial analysis like or new one introduces for crypto like . Fundamental P/E TVL TokenTerminal Blocknomy CryptoMiso Messari DefiLlama 3. – focusing on a specific niche or (gaming, media, meme coin etc.). Categories category CoinGecko CoinMarketCap 4. – investing in projects from different phases or with a specific market cap. For example, we can hunt for projects before listing ( , or ). Maturity ICO launchpad launchpool CoinCheckUp GemsReviews Screening Strategies There is not any best way for screening. However, you can choose any of these approaches or even mix them to create your own screening strategy. To give you an example of how it can look: 1.	Projects recommended by some Twitter accounts (you can check to get some recommendations) my account 2.	From specific categories like gamefi 3.	WIth our defined criteria (number of Twitter followers, specific blockchain, backed by VC…) 4.	Before the project is in the public sale phase Now, when we know what do we want to create, we can deep dive into this process. Screening Process The efficient screening process enables us to narrow available projects which can be analyzed later in the Selection part. The Investment Process and Selection will be covered in detail in other articles. We need to start with a (tool) or in order to catch promising projects. After this, we will have to apply our criteria and do preselection. Based on the strictness of it, we will have fewer or more coins for further investigation. This should be adjusted based on our time availability, like – how many projects do we want to analyze per week? And so on... Screener Screening Strategy Most of the criteria will depend on our source or chosen screener. If we are using fundamental scanners, we can focus on some parameters like MC, Users, or TVL. When these details are not available in our screener, we can always look for them on coin listing sites like Coingecko or Coinmarketcap. I am also always adding – why exactly I am buying this and how do I want to earn on this investment? This is especially useful for Evidence-Based Assessment from module 4 of . Investment Thesis Cryptocurrency Investment Framework If still, you get more projects than you can handle, you can create a queue for them. This also means that you should find a way to order them (or choose randomly). Another approach is to add additional criteria. I like , especially with the combination of the investment thesis. SWOT analysis Let’s do an example for Bitcoin. Investment Thesis Example - Bitcoin – increased adoption being perceived as a source of value, inflation hedge, digital gold narrative and payment method via a . Everything that creates demand and increases the price due to limited supply. Investment Thesis Lightning Network : SWOT analysis • – first cryptocurrency, broad adoption among individuals, companies and countries Strengths • – old architecture, some energy consumption controversies Weaknesses • – adoption from different companies and countries, higher availability to the individual via traditional finance Opportunities • – regulation and banning bitcoin in a certain jurisdiction, companies selling bitcoin for-profit and changing narration of digital gold Threads You can also find many examples on the internet: This will give you less or more confidence for an investment thesis and help decide if you want to spend some time researching this project. SWOT analysis also shows you where should you put focus during your research. You can also consider dividing your investment thesis and swot analysis in the short and long term (depending on your Investment Strategy). Screening Framework Let’s recap the main points: 1. -> where and how do I want to find it? Screener and screening strategy 2. -> what is the most important for me? Screening criteria 3. -> what do I know about this? SWOT analysis 4. -> why I want to buy this? Investment thesis What next? In the next articles, we will cover Investment and Selection process. After it, you will be able to start researching your crypto projects. I will share with you my framework, some examples and tips on how to start. You can also follow me on to get more investment frameworks and cryptocurrency analyses. Twitter Nothing in this article constitutes professional investment advice. Please do your own thorough research before making any investment decisions. Disclaimer:

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