vijn

I finally DID IT! $1k profit from $50 on 15-minute markets! Just 2 days ago, I set myself a goal: Achieve a profit of $1,000 on 15-minute markets on Polymarket And I successfully did it! Just this morning, the profit was only $716. Thank you, Polymarket, for the opportunities! Does anyone need a link to my profile? @PolymarketTrade @zscdao

@ninedol u r welcome ! Thank u for support

@vijn_crypto Thanks for flagging this article. I’ll have a read through it now

You won't make money copy-trading on Polymarket until you fix these brutal realities And that's the harsh truth Common Mistakes: > Latency flips +EV to -EV (same trade, worse price = opposite outcome) > Slippage tax (you pay more because master already moved the book) > Wrong sizing (mirroring dollars instead of risk %) -turns small losses into wipeouts > Fake decoy trades (whales pump price to exit into copy bots) The math is unforgiving: If your infrastructure can’t maintain a good EV ratio, you’re operating at a loss I use the Kreo terminal for copy trading: > @vijnadm" target="_blank" rel="nofollow noopener">kreo.app/@vijnadm

@AbigailClas96 true!

@vijn_crypto Where attention is low, edge is high

Which markets are the BEST for copy trading? Everyone thinks it’s all about crypto - big mistake Crypto can print, but it’s far from the only (or even the best) niche right now Here’s what I’m actually looking at lately: > Weather markets > Macro/economic markets > Financial markets > Geopolitical markets These categories are currently home to some of the most profitable and stable traders on Polymarket I filter and copy these types via Kreo: @vijnadm" target="_blank" rel="nofollow noopener">kreo.app/@vijnadm

@morpphhhaw yeah brother, thank u for article!

@vijn_crypto these rules are really important.

@Lummox_eth 5k$ it's great brother

Parletto BETA on Monad is LIVE and everyone can try 10,000$ on betting I have already bet 5,000$ on 5 markets Of course it’s not real money but for example and experience it is too good I also tried the most interesting function it’s Bookie It’s real opportunity for the rich : You can add your money in pool and share total pool size with other traders Min amount is 100$ but I bet on it 5,000$ too Interesting to understand all functions completely The mainnet is coming and the team promise us release in the following week

@gippp69 u just need use AI right

this framing stuck with me: the real cost of ai mistakes usually isn’t the weak first output it’s the retry loop that starts after built a quick terminal around that idea to visualize how vague prompts, missing context, and weak iteration compound over time > the numbers get ugly fast bad prompts don’t just waste tokens they quietly burn hours

@DeFiMole_ @X welcooome!

What shadowban does to micro-KOLs: Lesson learned. Thanks @X for unban!

@Lummox_eth smart promt engineer > default coder

A guy with 47 prompt lines replaced a whole hedge fund. He rewrote a text file 12 times for 4 months. The first version burned $210. The latter consistently brings ~$1040 per month. Key changes that brought the strategy to the black : 1. "First - arguments for and against."Made AI not be a "confident idiot". Result : PL with -$210 → about zero. 2. "Half-Kelly in the sumpt".The bot stopped betting equally on events with a probability of 72% and 88%. Result: a stable plus. 3. "Check yourself for mistakes." AI itself began to look for weaknesses in its forecasts. Winrate rose to 64-68%, there were fewer unprofitable series. Result : +$1040/month. Bonus : simple rules (liquidity filters, confidence decay, daily stop-loss) closed the main loss holes. Conclusion : Your trading strategy is not a code. This is a text file for AI. Write and rewrite it until it starts earning.

@Atenov_D @Polymarket @PolymarketTrade @zscdao @GreatUGB @KrRyMa @Yarpin5 @RAYYAN_THE_OG @sharmabi86 @Cattobreed @sflorimm AI it's future right now

Matthew Berman spent 200 hours perfecting his AI agent. Here's what he learned: > Most people set up an agent once and wonder why it underperforms. The gap isnt the model. Its the architecture around it. - Never use one long chat. Create a Telegram group - just you and the bot and enable Threads. Separate contexts: General, Knowledge Base, CRM. The agent loads only what's relevant, stays focused, works faster. One long chat is a context graveyard. Voice messages work perfectly for long tasks on the go. Use them. - Stop paying per token. API costs compound fast with an active agent. Integrate via Agents SDK (Anthropic) or Codex Auth (OpenAI) to use your existing consumer subscriptions at a fixed monthly rate. - One model for everything is wasteful. Route by task. Sonnet/Opus for planning and core conversations. GPT-5.4 as fallback. Gemini for search and video. Free local models like Qwen for email sorting and routine triage. Pin specific models to specific Telegram threads. Anything taking longer than 10 seconds - code, API calls, file work - gets delegated to a sub-agent automatically. Your main agent never blocks. - Claude and GPT need different prompts. Claude hates CAPS LOCK and "dont do X" instructions. GPT is the opposite. Keep separate system prompt files per model. Run a nightly cron to sync them by meaning while preserving each model's ideal formatting. - Move heavy tasks to 3am. Backups, code checks, documentation updates - all scheduled overnight. Your daytime quota stays intact for actual work. - Security is non negotiable. Filter all inputs through a code layer first, then a separate LLM that quarantines suspicious content. Strip PII from all outputs automatically. Set hard spending limits - an agent caught in an error loop will drain your budget in minutes. Read-only permissions by default. Manual confirmation for anything destructive. - Notifications will drive you insane without batching. Non-critical alerts: one digest every 3 hours. Medium priority: hourly. Instant delivery only for critical failures. 200 hours of mistakes, compressed into 8 rules. Bookmark this. A few hours to set up. Compounds for years.

@0x_Punisher 140x? omg bro, congrats!

@gippp69 Walter?

>small balance >nothing special >same entries >same exits >no big bets >no crazy swings >just repeating one simple loop >now around 60k$ >looks less like trading >more like a system

@gippp69 looked like bot

this looks like the same setup playing out again found another wallet doing 60k$ different size but almost identical behavior 8k+ predictions same pattern every time >no big bets >no crazy swings >just repeating the same logic looks a lot like a Claude-style workflow trigger → process → result at this point it’s hard to call this coincidence

@bu8ekk yeah, think so too

@vijn_crypto Weather markets sound interesting but how do you track them?

@se_margl thank u

@vijn_crypto solid angle but that window closes fast once crypto twitter starts shilling it

@Atenov_D @Polymarket @PolymarketTrade great work Atenov!

I asked my AI to research a topic. It returned confident nonsense. Here's why and how I fixed it in one folder. Standard AI memory is a black box. The agent saves data as vectors - numbers you cant read, cant audit, cant trust. > Ask it to research something and it returns polished nothing. AI slop with emotional flourishes instead of actual analysis. The fix is embarrassingly simple: save everything as Markdown files in Obsidian, backed up to GitHub. Transparent, readable, yours. By week 4-5 something shifts. The agent stops writing like a robot and starts writing in your voice. It connects ideas proactively - things you never explicitly linked. > Thats not a feature you turn on. Its what happens when the memory has structure. Morning intelligence pipeline. Dont use one prompt to gather all your news. Split the work across parallel sub-agents - each one focused, each one faster. Set a cron job for every morning. Specify your local timezone or the agent runs on UTC and your briefing arrives at 3am. The agent scans via Brave Search, X, financial sources - pulls the top 10 events, writes a 2-minute summary directly into Obsidian. If anything touches an investment idea or content angle, it adds it automatically to your ideas backlog file. AI as a trading assistant - and the truth about @Polymarket Arbitrage bots dont work. Hidden platform fees kill the math. Ignore those threads. What does work: give the agent your actual trade journal. Wins, losses, dates, conditions. Ask it to find the hidden variables - what's consistently present in your profitable trades and absent in the losers. Order flow, delta, volume patterns. The agent spots correlations in seconds that would take you weeks to see manually. Your edge already exists in your data. The agent just reads it. > Two plugins that make the architecture work. Smart Connections - local vector search, no API costs. Connects ideas across your vault automatically. QMD as MD - forces the agent to save all outputs in clean Markdown. Obsidian reads everything correctly. Readable memory beats black box memory. Every time. Bookmark this. A few hours to set up. Compounds for years.

@gipppezkv u need EV more than 50% and u be profitable

Most people on Polymarket are still trading takes. The real edge is starting to look more like 5 agents, each doing a different job: >one estimates probability >one hunts for EV >one updates on new information >one handles sizing >one filters noise same market different kind of trader

@fort1kkk yeahh

@vijn_crypto Andrey is cooking for us he thought that Andrey won't detect him

This suspected insider just made $2.14 MILLION on Polymarket betting on a US strike on Iran Using 38 unimaginable accounts The breakdown is insane: > 38 wallets tied to one person > Total profit $2.14M (individual PNLs $30k-$230k) > 4-10 bets per account on military events > Near 100% win-rate on those > Prep started Feb 22 (withdrawals to same Coinbase address) > New accounts created right before Feb 28 strike market > All funds routed back to one Coinbase deposit address Timing, volume, and connections scream insider knowledge If true - biggest suspected insider win in Polymarket history That's just crazy...

@gipppezkv just trade math, not emotion

Strong approach. Most people in prediction markets still trade headlines and emotion. This is much closer to how real edge is built: math probability mispricing entry discipline exit rules That’s how you turn noise into a repeatable process.

@immortalhowwl I'll be honest - most likely yes, haha

@vijn_crypto if u had access to that kind of info would u mess around a bit or nah?