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@Xdamagee

Prediction mode: ON Polymarket whale (in my dreams)

Where I'm not Katılım Temmuz 2022
218 Takip Edilen189 Takipçiler
damage
damage@Xdamagee·
$49 → $9,002. No alpha. No guru. Just math. Most prop traders ask the wrong question. Not "does my strategy make money?" The right one: "what is my net expected value across the entire challenge lifecycle?" Different question. Different game. Here's the equation nobody talks about: NEV = P(pass) × E[payout] − E[total fees] TopStep 50K. $49 challenge fee. 40% pass rate. $9,000 average payout. $300 average cost to get funded. Net expected value: $8,600. But that number is fiction until you understand what actually controls your pass rate. It's not your entries. It's not your indicators. It's this: Win rate × reward − (1 − win rate) × risk Two numbers. That's it. And here's the result nobody expects from the Monte Carlo - A 75% win rate / 0.33 RR strategy passes the challenge roughly twice as often as a 20% win rate / 4:1 RR strategy. Identical expected value per trade. Completely different pass rates. The reason is variance. High RR strategies blow up barrier problems. One bad run. Lower barrier. Done. The challenge isn't a trading account. It's a call option. Your downside is capped at $49. Your upside is real, withdrawn cash. Payoff(x) = max(x, 0) − C That's a convex structure. That's why a zero-alpha strategy can still print positive expected value. Marcus traded manually for two years. Lost $14,000 across three firms. Not bad entries. Bad geometry. He switched to a 70% win rate / 0.67 RR bot. Opening range breakout. NQ futures. 4:47 AM. Day 9. Challenge passed. Fee: $49. First payout: $9,200. He hasn't watched a trading YouTube video since. The full simulation is in the article. 100,000 runs. Optimizer sweeps every fair-game RR combination. Copy-pasteable. numpy and pandas. Runs on a $5 VPS. 87.6% of prop traders never calculate their expected value before buying the challenge. The math isn't hidden. The code isn't proprietary. The formulas are on Wikipedia. The edge is that almost nobody does the arithmetic. Read the full breakdown →
damage@Xdamagee

x.com/i/article/2034…

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m|i|ster
m|i|ster@MisterNoComents·
@Xdamagee Looks like a money-making opportunity
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cvxv666
cvxv666@antpalkin·
@Xdamagee It's a shame Aristotle didn't live to see the PM
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damage
damage@Xdamagee·
@lex_node based or tragic depending on whether you think the hands-off approach has aged well
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_gabrielShapir0
_gabrielShapir0@lex_node·
TIL the Ethereum Foundation is basically a volcel 🌈the more you know...🌈
Tay 💖@tayvano_

@divine_economy @ivangbi_ @lex_node yes, the optimal outcome is morpho and the gf and everyone else in the room are all lowkey super keen to fuck you but not in a way where they expect it to actually happen (or get mad if it doesn’t.)

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۟@MINHxDYNASTY·
someone on the internet just called me yellow boy should i be offended?
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damage
damage@Xdamagee·
@morpphhhaw $400k without touching a cex is a clean headline but the pipeline description is doing a lot of hand-waving
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morph
morph@morpphhhaw·
onchain quants earned ~$400k on Polymarket without touching a single CEX data source? they pulled TradFi prices on Russell 2000, Dow, SPX, Apple, Google and more then ran full‑stack sims before placing a single bet here’s the pipeline: Financial Datasets MCP Server - unlimited historical prices and fundamentals for any ticker, any timeframe free, real market data, exposed via MCP for agents and scripts MiroThinker-H1 - deep research agent (BrowseComp 88.2) that calls the MCP server, cleans the raw feed, engineers features and outputs a simulation‑ready dataset MiroFish simulation system - you upload that dataset, configure parameters, and get a matrix‑level view of how price actually moves across thousands of trajectories at that point you’re not “guessing the market” but you can do easily - just copy such trade agents I'll do that here - @copyt" target="_blank" rel="nofollow noopener">kreo.app/@copyt
cvxv666@antpalkin

Onchain quants earned $400k using financial market simulations. Data source? Financial Datasets MCP Server for stock history access + MiroThinker-H1 for analysis and cooking perfect dataset for sims. Both repos are on GitHub, fully open source. Wallets proofs: -> polymarket.com/profile/0x969f… -> @CamelUp?via=cvxv666" target="_blank" rel="nofollow noopener">polymarket.com/@CamelUp?via=c… They trade bets on Russell 2000, Dow Jones, SPX, Apple, Google and so on. Classic stocks, but they only trade on big centralized exchanges. So how do you even get that data and what do you do with it? Here’s the complete tech stack for exactly that: 1) Financial Datasets MCP Server gives you unlimited price parser for any ticker, any timeframe. Free real data. 2) MiroThinker - a deep research agent optimized for research and prediction, 88.2 on the BrowseComp benchmark. Long-horizon reasoning, verification-first design, step-level + global validation, up to 300 tool calls per task. Agent pulls data through the MCP Server and runs all the necessary research. It builds a ready-to-use dataset for any number of iterations you want 3) MiroFish simulation system - just upload your prepared data here and set the simulation parameters. A guide is available in the post below. BOOM - you now have the matrix-level view of how price actually moves. GitHub links for both tools below: github.com/financial-data… github.com/MiroMindAI/Mir… Save this post so you don’t lose the links and the full pipeline.

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damage
damage@Xdamagee·
@gammichan us being a net exporter changes the domestic politics more than the global price impact
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Gammichan
Gammichan@gammichan·
I've seen some 70s oil crisis comparisons on here but it's important to keep in mind that the oil situation is different now with the US being a net exporter of oil and the largest oil producer of all countries. It's unsurprisingly once again Europe that is poorly positioned.
Gammichan tweet mediaGammichan tweet media
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damage
damage@Xdamagee·
@ryanberckmans what's the actual fiat coverage at launch, because "anything to anything" means nothing if the anything is just usdc to usdt?
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damage
damage@Xdamagee·
@0x_Abdul This gives a clear picture of the current situation without any charts or other tedious stuff
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damage
damage@Xdamagee·
@ThogardPvP @cryptunez ($10,000) on Kick9:06 PMgenuinely not sure what a tweetcel engagement arc looks like but the $10k kick donation lore is a strong origin story
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damage
damage@Xdamagee·
@vijn_crypto decoy trades to bait copy bots is the part most people skip over
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vijn
vijn@vijn_crypto·
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
morph@morpphhhaw

x.com/i/article/2017…

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damage
damage@Xdamagee·
@vorty279 linkedin post found its way to crypto twitter
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vorty
vorty@vorty279·
Claude instead of 9-to-5: How to replace your staff with one AI at 19 I used to sell time for $15/hour. Now I'm a systems operator. I don't have an office and a team, just a laptop and Claude 3 sources of revenue on autopilot: Polymarket Bot: The bot takes +89% of the expectation where people bet on emotions. Works 24/7 AI model grid: Models don't get tired, don't age, and bring advertising receipts Agency freelancing: Speed 20 times higher than the market, quality — like top copywriters Main insight: In 2026, revenue is limited not by your watch, but by the number of running systems. You either control neural networks, or they replace you
Hrundel75 🐷@Hrundel75

x.com/i/article/2034…

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damage@Xdamagee·
@Lummox_eth Sweet dreams mate, make sure you read this
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Lummox@Lummox_eth·
@Xdamagee Before going to bed the best post found Thanks for sharing
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damage
damage@Xdamagee·
@Lummox_eth testnet with fake money is the right way to learn a platform before mainnet
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Lummox
Lummox@Lummox_eth·
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
Parletto@parlettodotbet

Parletto finally found its home. And it’s purple. Fast. Decentralized. EVM compatible. Built for consumer apps. Beta is LIVE on @Monad. Prediction markets meet parlays. Things may break, that’s the point. We’ll keep shipping till mainnet. parletto.bet

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damage
damage@Xdamagee·
@Kicklee89 @Polymarket @zscdao $2t spacex valuation hinges on a roadster unveil and a rocket flight is a lot of narrative weight on two events that have both slipped dates before
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Miss Port
Miss Port@Kicklee89·
Elon’s Double Kill – Roadster Unveil + Starship Flight 12! April 2026 is Elon’s Real Joke: Roadster + Starship V3 Drop → Instant $2T SpaceX Valuation Pump? You Ready? April 2026 is shaping up to be Elon’s biggest month yet: Tesla Roadster unveil (late April) – “next-level banger” confirmed Starship Flight 12 (early–mid April) – first V3 flight, critical for reusable cadence, Starlink scaling & Mars SpaceX IPO targeted summer 2026 (June–July window strongest on Polymarket) Now SpaceX = rockets + Starlink + xAI (Grok, AI compute) + exposure to X. Tesla stays separate. 2025 revenue: ~$15–16B, profit ~$8B (Starlink ~70%). 2026 projection: $22–24B. Polymarket Higher Strikes: 52% chance IPO closing market cap > $2 TRILLION → that would instantly place SpaceX in the top-5 companies worldwide (right now only NVIDIA, Alphabet, Apple, Microsoft & Amazon sit above $2T). April double-drop (Roadster + successful Starship V3 flight) could be the perfect pre-IPO rocket fuel. Polymarket play: 2.0T+ shares at ~53¢ look very cheap if you believe in execution this month. TSLA volatility incoming. SpaceX valuation exploding.
Miss Port tweet media
Elon Musk@elonmusk

True. New Roadster unveil probably in late April.

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damage@Xdamagee·
@shmidtqq this is fiction dressed as alpha
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shmidt@shmidtqq·
His name is bin8888. He integrated his own feed parser directly into his terminal and earned $58,354.54 in 72 hours. While retail investors were nervous about delays in macroeconomic news, he launched a Rust-based WebSocket parser on the command line to retrieve OPEC+ insider leaks in fractions of a second. bin8888 set up a lightweight empirical data processing pipeline to detect changes in the probability of oil supply shocks, converting raw geopolitical chatter into pure alpha returns. When his terminal generated a hidden consensus change signaling stabilization of oil production, he reacted instantly. bin8888 aggressively attacked the "No" side of Polymarket's March crude oil contracts. Having abandoned strike prices of $110, $120, and $105, he bought over 240,000 shares for pennies while the market was still pricing in the supply crunch. His dashboard lit up: position value $156,000, net profit $58,354.54. If your terminal doesn't read the news before it's published, you're a source of liquidity for the exit.
shmidt tweet media
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PredictionMarketTrader
PredictionMarketTrader@PredMTrader·
When you have $500 on Trump not saying "Hormuz" and he keeps talking about "The Strait"
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damage@Xdamagee·
@verrissimus $100k per game and you want deeper books, fair
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