Medical Doctor,Prediction Analyst,AI CPP,Lead BD @QwertiAI Building the TPC community

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Prediction markets for beginners Prediction markets let you trade on what you think will happen, not just price charts. Instead of asking “Will this go up?” you ask “Will this event happen?” Examples: • Team wins a match • Candidate wins an election • Project launches before a date You’re trading probability. What does “¢ (cents)” mean? Each market is priced from 0c to 100c. • 100c = 100% chance • 50c = 50% chance • 20c = 20% chance If you buy at 30c and later sell at 60c, you doubled your money. Simple. How a newbie should use prediction markets: Start with events you already understand. Don’t overthink. Don’t trade everything. Pick clear situations. Ask yourself: • Is this being underpriced? • Is the crowd too emotional? • Do I have better info or logic? If yes → trade. If no → skip. Sports as a case study Sports are great for beginners because: • Clear rules • Fast outcomes • Lots of public bias Example: • A strong team loses 1 game • Market overreacts • Odds drop too low That’s opportunity. You’re not betting on vibes you’re betting on probability correcting itself. Politics as a case study Politics is slower but powerful. Markets move on: • Polls • Headlines • Narratives • Emotions Often: • Fear brings mispricing • Confidence brings overpriced odds The edge comes from patience and calm thinking, not hot takes. Market resolving (important): Every prediction market has a resolution condition. That means: • When the event ends • Who decides the outcome • What counts as “Yes” or “No” Always read this. Many beginners lose money by trading a market they don’t fully understand. BIG lesson: You don’t need to stay till the end This is where most people get it wrong. You do NOT need to wait for resolution to make profit. You can: • Buy low • Let sentiment change • Sell higher • Exit early Professional traders care about: price movement not waiting till the end Final mindset (TD;LR) Prediction markets reward: • Clarity • Patience • Discipline They punish: • Emotions • Overconfidence • All in behavior Think in probabilities. Take profits when you have them. Live to trade the next market. That’s how you win. Winners win , Get Bizzy .
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Good morning
Welcome to @YieldFields_RH by @Skarly -video made by me
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I was scrolling through my TikTok page and came across this video I made around May. To be honest, back then, I genuinely thought I was creating some amazing AI videos until I started participating in contests and seeing just how talented, creative, and innovative other people were. Instead of discouraging me, though, it actually motivated me to learn more, experiment more, and push myself to get better. Looking back now, it’s funny to see where I started and how much I’ve learned since then. Sometimes, seeing how good other people are is exactly the motivation you need to level up. #ALHAMDULILAH
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Dr. PC7 🥷🏽 retweeted
Welcome to @YieldFields_RH by @Skarly -video made by me
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Dr. PC7 🥷🏽 retweeted
finally joining this trend btw i started trading 9 days ago
Little by Little.
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Ayooooooo I see a ton of subs in here ! Feels good man! You better have the 🪑 in your name. @themutualfun 👀
I see mee How do I rank up King
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+1 HAPPY BIRTHDAY NETWORKING KING 👑 ❤️
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Winners @XammieCrypt @armanifeante @netrovertHQ Check the instructions on how to claim
Fam 🤯🤯 And @KingAnt said I can choose 3 winners to get gtd Just follow and RT and drop EVM I’ll pick from the comment section Thanks to all that helped me get it to him
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Fam 🤯🤯 And @KingAnt said I can choose 3 winners to get gtd Just follow and RT and drop EVM I’ll pick from the comment section Thanks to all that helped me get it to him
Battle for anthood A re imagination of @KingAnt upcoming NFT collection Enjoy
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$84/$10,000 I use $2 chop hunger almost blind me
$86/$10,000
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omg 🔥 i just called a 52x runner from $4.7k to 200k+ we discover this shiiii 😂 mind you I have called over five 4x runner this morning follow me at @ amiewin on pumpfun
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Gm @KingAnt I’ve followed you Made art Even subscribed to you I appreciate the follow but kindly take some time to Check out my video I made for your upcoming nft Even if you don’t give me WL atleast say if you like it It took time and energy, have a great day,link below
Good morning. ☀️ Happy Friday. 1,111 energy. AntHood all day. ✍️
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Here
Battle for anthood A re imagination of @KingAnt upcoming NFT collection Enjoy
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Go apply for @FomiesNFT Free mint build around fomo Should cook Start here fomies.family/?ref=4c398d3c0… Do not fade this and hear we cooked later it’s 0$ to join
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Evil recieve but thank you Jesus
Today @PsyopAnime chooses the winners for this contest. Hope they remember the guy that made them laugh 😄 Anyways, I wanted to use this opportunity to show y’all exactly how I made my PSYOPANIME video from start to finish. I wanted the final video to feel consistent with the PSYOPANIME universe, so the first thing I did was remake the newscaster pack provided by @PsyopAnime. I kept the same core character designs, but created cleaner character references that would be easier for my video generator to recognize and keep consistent across different scenes. Then came the actual production. Step 1: I planned the full story and broke it down into individual scenes newsroom shots, character moments, cutaways, dialogue, reactions and the crazier sequences. Step 2: I wrote each scene prompt one by one instead of trying to generate the entire video with one huge prompt. This gave me much more control over the characters, camera angles, dialogue and what was happening in each sequence. Step 3: I used @OiiOii_AI, my go-to AI video agent. I opened New Project, fed it my script/prompt and added all the character references I had created. Step 4: Inside the project, I assigned the correct character/reference to each sequence. This was probably one of the most important parts because it helped maintain consistency as the story moved between different anchors, locations and scenes. Step 5: I generated each sequence individually, checked the results and kept building the storyboard until the entire video was complete. The workflow basically became: Character references → Script → Scene prompts → Assign characters → Generate each sequence → Assemble the story. Step 6: Once I was happy with all the generations, I brought everything into CapCut, arranged the final sequence and upscaled the finished video for a cleaner output. Then I posted it. 😄 That was pretty much the entire process. No massive production setup just a clear idea, consistent character references, good prompting, @OiiOii_AI for the generations and CapCut for the finishing touches. In all, I had a really good time making this one. Now we wait for @PsyopAnime to choose the winners. 👀😂
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Dr. PC7 🥷🏽 retweeted
Today @PsyopAnime chooses the winners for this contest. Hope they remember the guy that made them laugh 😄 Anyways, I wanted to use this opportunity to show y’all exactly how I made my PSYOPANIME video from start to finish. I wanted the final video to feel consistent with the PSYOPANIME universe, so the first thing I did was remake the newscaster pack provided by @PsyopAnime. I kept the same core character designs, but created cleaner character references that would be easier for my video generator to recognize and keep consistent across different scenes. Then came the actual production. Step 1: I planned the full story and broke it down into individual scenes newsroom shots, character moments, cutaways, dialogue, reactions and the crazier sequences. Step 2: I wrote each scene prompt one by one instead of trying to generate the entire video with one huge prompt. This gave me much more control over the characters, camera angles, dialogue and what was happening in each sequence. Step 3: I used @OiiOii_AI, my go-to AI video agent. I opened New Project, fed it my script/prompt and added all the character references I had created. Step 4: Inside the project, I assigned the correct character/reference to each sequence. This was probably one of the most important parts because it helped maintain consistency as the story moved between different anchors, locations and scenes. Step 5: I generated each sequence individually, checked the results and kept building the storyboard until the entire video was complete. The workflow basically became: Character references → Script → Scene prompts → Assign characters → Generate each sequence → Assemble the story. Step 6: Once I was happy with all the generations, I brought everything into CapCut, arranged the final sequence and upscaled the finished video for a cleaner output. Then I posted it. 😄 That was pretty much the entire process. No massive production setup just a clear idea, consistent character references, good prompting, @OiiOii_AI for the generations and CapCut for the finishing touches. In all, I had a really good time making this one. Now we wait for @PsyopAnime to choose the winners. 👀😂
A world without food is chaos I present , The edible decline Made with Ai with minimax H3 @PsyopAnime #PsyopAnime #PNNChallenge
Made with AI
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