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Bourbon Capital
RT @BourbonCap: Howard Marks: What was the most important event in the financial and investment world in the last 50 years?

Howard Marks: Most people would say Lehman Brothers, 2008, tech bubble..Black Monday.. but i believe that it was the decline in interest rates

declining interest rates are extremely beneficial for assets ownership....

Oaktree Capital Management (Howard Marks) 13F as Sep 2025 https://t.co/WPSyQWpsRV
- Bourbon Insider Research
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God of Prompt
x timeline idea: feed but only for all your bookmarks, ranked by relevance to your recent preferences

@nikitabier
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God of Prompt
who’s gonna tell him

I truly love the singularity https://t.co/niHCWGOsxg
- Chris
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God of Prompt
finally the robots we all need

Everyone talks about humanoids.

Meanwhile, @loki_robotics: https://t.co/Bprpx2nuVP
- Ilir Aliu
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Offshore
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Moon Dev
Clawdbot's first $1,000,000,000 use case is here

She scours tiktok for trends before wall street notices

24/7/365 finding alpha https://t.co/oyuAnBVoRz
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Bourbon Capital
$NVDA CEO Jensen Huang: "Software is a tool..there's this notion that the tool in the software industry is in decline and will be replaced by AI.... you could tell because stock prices are under a lot of pressure and somewhow AI is gonna replace them"

"It is the most illogical thing in the world, and time will prove itself"

One of the most illogical wall Street sell-offs. Eventually, they gonna realize that it makes no sense to replace a hammer for another hammer, it’s better to improve them....a lot software companies will come back stronger

Software % Below from all time high

Moody's $MCO -16%
S&P Global $SPGI -22%
Booking Holdings $BKNG -23%
Cadence Design System $CDNS -24%
Uber $UBER -25%
Microsoft $MSFT -26%
Palo Alto Networks $PANW -28%
Fortinet $FTNT -28%
CrowdStrike $CRWD -29%
ZETA $ZETA -31%
Fair Isaac $FICO -36%
SAP $SAP -38%
Veeva $VEEV -40%
Adobe $ADBE -42%
AppLovin $APP -44%
Intuit $INTU -45%
Spotify $SPOT -45%
Salesforce $CRM -48%
ServiceNow $NOW -51%
Constellation Software $CSU.TO -53%
Duolingo $DUOL -77%
monday $MNDY -70%
- Bourbon Insider Research
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Offshore
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Moon Dev
The Great Equalizer: How To Code A Trading Bot That Never Gets Liquidated

most traders treat the coingecko api like a simple price checker but the real money is hidden in the endpoints that nobody bothers to read. it is the difference between catching a trending coin before it moons and being the exit liquidity for someone who spent ten minutes writing a script. there is a specific way to structure these calls that bypasses the noise and gets you straight to the alpha and if you miss this one detail you will probably just end up with an empty csv file

if you think you need a degree in computer science to escape the liquidation cycle you have already lost the game before it started. i am moon dev and i believe that code is the great equalizer because through losing money with liquidations and over trading i knew i had to automate my trading. i spent hundreds of thousands on developers for apps in the past thinking i would not be able to code myself but now i know better

with bots you must iterate to success so i decided to learn live and now i have fully automated systems trading for me instead of getting liquidated. the scanner we are building here is designed to capture every hourly shift in market sentiment so we have a permanent record of what the crowd was chasing. i have noticed that tokens often trend for a few days before cooling off and then hitting a second much larger wave

by building a local database of these historical trends you can start to see patterns that the web interface simply cannot show you. most traders are looking at the same top ten list on the homepage while we are pulling the raw data directly from the v3 api. there is a secret way to filter for the absolute newest listings before they even hit the front page and i am going to show you how to tap into that stream

getting good at this is mostly just about being willing to read the documentation while everyone else is looking for a shortcut. most people see a rate limit error and give up but that is actually where the edge begins because the friction keeps the lazy traders out. once you find the categories endpoint you can begin searching for artificial intelligence or gaming tokens specifically which allows you to front run narrative shifts

narrative shifts are where the largest multipliers are found but you need to see the actual volume and not just wash trading data. the api allows us to pull specific market cap data and volume metrics that we can then clean using a pandas data frame. if you have never used pandas before it is essentially a spreadsheet on steroids that allows you to sort thousands of rows of data in a fraction of a second

i used to sit at my desk all day trying to find these new coins manually but now the script does the heavy lifting while i sleep. we can set up a function that looks specifically at the new coins page which is a gold mine for finding projects that have only been live for a few hours. capturing these right at the source is the goal because by the time they are trending on twitter the move is already halfway over

when we look at the nft section of the api we are looking for more than just floor prices because that data can be misleading. we need to see the unique holder count and how that number is changing over a twenty four hour period. if you see a collection where the floor is rising but the number of unique addresses is dropping it usually means a few whales are just trading back and forth to create fake hype

using the v3 api for nfts requires a specific endpoint path that is not always obvious if you are just glancing at the main docs. the trick is knowing how to handle the nested json data so you can actually perform math on the price changes. once you have the data in a human readable format like a csv file you can start to build logical filters that only alert you when specific criteria are met

if you are using the free tier of the api you are going to hit a wall very quickly unless you implement a smart time s[...]
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Moon Dev The Great Equalizer: How To Code A Trading Bot That Never Gets Liquidated most traders treat the coingecko api like a simple price checker but the real money is hidden in the endpoints that nobody bothers to read. it is the difference between catching…
leep function. i prefer a two second delay between calls when i am scanning the top twenty collections just to stay under the radar and avoid being blacklisted. if you decide to upgrade to the paid tier you get access to exclusive market data endpoints that provide the kind of depth that professional firms use

the difference between the free and paid versions is basically the speed at which you can iterate and the number of calls you can make per minute. for a beginner the free tier is more than enough to learn the logic and build a basic scanner that runs once an hour. there is a way to bridge this data into a custom dashboard that sends you alerts the moment a specific metric hits a trigger point

building these systems is not about being a genius it is about being consistent and willing to fix the small errors that pop up during the build. i spent part of my day just trying to figure out why my nft data was printing every third line instead of a clean list. that is the reality of coding and automation but once it is fixed the bot works for you forever without complaining or getting tired

automation is the only way to remove the human error that leads to liquidations and blown accounts. i am not a financial advisor but i am a guy who found out that code is the only way to survive the volatility of these markets. once you have your scanner running you can spend your time thinking about strategy instead of staring at candles and wondering if you should click buy

the reason i share everything live is because i want to show that anyone can do this if they are willing to put in the time. i am constantly building new scanners and refining my bots because the market is always evolving. if you can master the coingecko api you have a massive advantage over ninety nine percent of the people trading right now who are just guessing based on memes

it takes effort to move from a manual trader to an automated one but the freedom it provides is worth every hour of frustration. you don't need to spend thousands on developers when you can learn to build these tools yourself and keep all the alpha. the goal is to have a fully automated system that finds the opportunities for you so you can focus on the big picture and stop being a slave to the screen
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