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ZzGTRzZ
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ZzGTRzZ
@GamingTechReels
Always @CReactionf Your favorite perp trader. Join the Locale below
Katılım Ocak 2024
258 Takip Edilen741 Takipçiler

Talk less trade more $btc
First 500k-5m now at 2.1m in 3 weeks
Second 500k-5m now at 780k in 3 weeks
Second shared privately in InnerCircle
Talk less work more..
$btc

Chento@ChentoTrades
71% chance of BTC going down today, still weekend so be careful $btc
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Clean call for my peeps, first ape in a long time. Gimme millies
Join the locale if you want more bangers in this shit market
t.me/GTRLocale

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@DarkShiba_Bonk @cladzsol @chatgpt21 The fact that you think I aped a play with danny in the comms 🤡🤡🤣😂😂
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@DarkShiba_Bonk @cladzsol @chatgpt21 You are the exact type of person he benefits from, you new guys really are cannon fodder
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@DarkShiba_Bonk @cladzsol @chatgpt21 You answered my question lol this fool out here defending Danny HAHAHAHH im dead
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@GamingTechReels @cladzsol @chatgpt21 He has better things to do than wasting all of his time finding comments to fud
How in the world are you not tired?
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ZzGTRzZ retweetledi

@MoonDevOnYT Amazing tool Moon, thanks for sharing this gem. I recently discovered your X and have gone down a rabbit hole regarding this type of trading. Keep up the grind🔥
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The 80% Edge: A Python Framework To Track Polymarket Whales And Trade No Markets Like A Hedge Fund
i built a window into the minds of the biggest traders on earth because following the money is the only way to survive in prediction markets. most people are just scrolling through lists of questions and guessing while whales are dropping six figures on outcomes that seem impossible to the average person. if you stick around i will show you the exact data source i use to automate my systems and why the secret to winning might be betting on the word no
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. in the past i spent hundreds of thousands on devs for apps thinking i would not be able to code myself but now i build everything live on youtube. with bots you must iterate to success and that is where this dashboard comes in to give us the edge we need to stop getting liquidated
the most interesting part of this data is the section dedicated to no markets because there is a stat going around that eighty percent of prediction markets resolve as no. if you can filter for these specifically you might have found the closest thing to a holy grail in this ecosystem. i am already building a bot specifically to exploit this trend because being a contrarian with data is much more profitable than being a dreamer with a hunch
tracking sweeps is how we find the big traders coming in to move the needle before anyone else even notices the trend is starting. we track anything over a hundred dollars but you can easily scale that up to look for thousand dollar entries if you want more conviction. identifying these moves allows us to see where the smart money is flowing in real time without having to guess which way the wind is blowing
the whales tab is for the heavy hitters who buy over five thousand dollars worth of shares in a single massive transaction. someone recently put over a hundred and seventy thousand dollars into a hockey game which is a perfect example of how emotional these markets can get. even though it is a sports market the sheer size of the trade tells you that someone is betting with extreme confidence or perhaps some form of inside information
i try to ignore the noise from sports and crypto because those traders are often driven by pure emotion or already covered by my other bots. prediction markets are a different beast entirely and you need to see the raw data of geopolitical events and interest rate shifts to find real alpha. this dashboard lets you skip the fluff and go straight to the markets that actually move the needle for a systematic trader
edge markets are where the real opportunity lives because these are the outcomes that are not yet fully decided by the crowd. i get rid of the decided markets where the odds are already ninety seven percent because there is no profit left to harvest there. focusing on the markets that are still in flux gives our algorithms a chance to capture the movement before the consensus is reached
clusters are when multiple people are buying into the same trade and creating a massive surge in volume that signals a major shift. we saw over seven hundred sweeps for the fed decreasing interest rates which resulted in over fifty six thousand dollars of concentrated volume. when you see this much activity in one spot you know there is a consensus forming among the big players that you cannot afford to ignore
the closing soon tab is where the real pressure happens as the window for opportunity starts to shut in the final twenty four hours. watching the whale activity in these final moments tells you exactly who is trying to hedge or who has inside information on an outcome. i use this data to refine my algorithms every day because in this game if you are not iterating you are just waiting to be someone else's exit liquidity
it is hard to find what matters on the main platform because discovery is a major hurdle when there are thousands of active questions. my tool solves this by putting everything on one page so you can jump directly into the most relevant trades. this kind of efficiency is what separates the traders who get liquidated from the ones who actually build lasting systems
building bots for prediction markets requires a different kind of data feed than just looking at a price chart on a screen. we need to see the sentiment and the size of the bets being placed on specific world events as they happen. this dashboard provides the raw input for my no market algorithm which is currently the most exciting project i am working on in my bedroom
the first evolution of this tool is completely free because i want the community to have the same vantage point that i use for my own trading. you can stop scrolling and start analyzing where the real volume is flowing without spending a dime on expensive data feeds. the goal is to build a machine that trades for us so we can step away from the screen and let the code do the heavy lifting for our portfolios
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