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most Polymarket bots die the same way they quote symmetrically around mid-price price moves they absorb the loss repeat until account is empty the fix has been in academic papers since 2008 Stoikov figured it out studying stock market microstructure the math translates directly to prediction markets here's what...

19,483 Aufrufe • vor 5 Monaten •via X (Twitter)

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I vibe-coded a bot for the 5M / 15M BTC markets on Polymarket. Releasing it for you for free. Open source (Python). I just earned $400 today on Polymarket with this tool myself It doesn’t trade It just prints a signal in the console: UP or DOWN 🔸 The signal appears a few seconds before the Polymarket market actually moves. The bot exploits a Chainlink oracle inefficiency. What matters is that it consistently gives you a 4-8 second lead over the actual quotes on Polymarket. In practice, you’re seeing a few seconds into the future. What you can do with it: 🔸 Possible strategies: 1/ Momentum sniper Bot gives a signal -> instant entry into the current 5-minute market in the direction of the signal (Yes/No). Works best during strong moves >0.3-0.5%. 2/ Last-second scalp before market expiration 3-12 seconds before the 5-minute candle closes, you already see where the BTC candle is going to close. -> Enter Polymarket at the very last moment. 3/ Hedging + arbitrage Strong signal against the current Yes/No price -> hedge your position or catch crowd squeezes. Especially juicy in the final seconds, when odds are still fat, but the outcome is almost decided. 🔸 This is pure price update inefficiency. Open the 5M or 15M BTC market yourself. Run the bot. Watch who moves first. Until this gets tightened up - it’s a clean inefficiency. And yes, if you ape your entire deposit into it, the market will punish you fast. 🔸 But as a tool - this is the closest thing to a "Polymarket money printer" setup I’ve seen recently. Python bot setup instructions on GitHub: DYOR. Print hard, print smart.

0xLanister

18,390 Aufrufe • vor 5 Monaten

how tread.fi mm bot actually works and how to launch it safe for your balance market making with tread is not free yield you're basically renting a very fast trader that: - posts both bids and asks around the mid - tries to keep your net exposure inside a controlled band instead of letting you drift into a huge directional bet - farm tread points in the video below i walk through the clicks: > step one - pick the market and leverage if you farm trade.xyz or Ventuals be careful, those markets completely static on weekends and bot most likely will stop. there's no problems with majors though (btc, eth, hype, etc.) for less risk choose leverage below 10x > step two - fund and size the bot before you touch settings, make sure your inventory is at least a bit higher than the recommended inventory size (think +10-20% buffer) otherwise you have a risk of liquidations recommended inventory depends on the budget, bias and mode you should be ok with that whole amount being actively traded. this is not a tiny test order, this is your working capital for the bot > step three - choose bias type neutral mm goal: max volume with min price impact not profit and no loss, you're just burning dex fees in range of your budget use this if you don't have a strong view on direction long / short skew goal: combine mm with a directional opinion bot front-loads your bias in the first half of the run and unwinds later path matters: you need price behavior to roughly match your bias path (best case is up/down only), not just end higher/lower even if you bet on right direction positive pnl is not guaranteed, you should test with small amount at first to understand algos. > step four - execution mode aggressive - tighter around mid, more fills, faster volume - better for mega-liquid markets where you just want to get done and reduce exposure quickly normal - good default for most large pairs - balances between getting hit and not chasing every move passive - behave closer to a grid: slower, wider - potentially higher returns over longer periods but you need patience and monitoring > step five - run and monitor once the bot is live, watch: - pnl and executed notional (are you bleeding per notional traded?) - participation rate (if you're 80–90% of the market, you're basically trading against yourself) if something looks off, pause early. make sure all positions are closed and orders are canceled. TLDR; inventory is your work balance, it will be used to open positions keep inventory buffer at least at 10%, running with less than recommended inventory is how you get forced into bad fills or even liquidations on a weird move. a bit more inventory = more room for the bot to rebalance without panicking. bias is harder than it looks, with a skewed bot you're not just betting end price > start price, you're betting on the path monitor often, there are a lot of unpredicted maintenances happens on dexes side

xxceptive

17,352 Aufrufe • vor 8 Monaten

Chinese student used AI from Anthropic to turn $1,000 into $1,500,000 He studies at Tsinghua University in Beijing. His account is k9Q2m In such a young age he already make a million simply knowing the right formulas and being able to use Claude Result: $1,430 → $1,550,750 44,364 trades Win rate 100% The biggest win $23,600 on a single bet k9Q2m profile: How it bots work: The bot runs 6 formulas hedge funds use simultaneously, every tick. Most traders guess. This bot calculates. Formula 1 - LMSR Pricing Polymarket prices move on a logarithmic curve. The bot knows the exact price impact before entering. Market says 31¢ for BTC up in 5 minutes. The model sees the curve is mispriced. The bot enters before the correction. Formula 2 - Kelly Criterion Renaissance Capital uses it. Two Sigma uses it. Now your bot uses it. Every bet is sized exactly right. Never too big to blow the account. Never too small to matter. $1,000 bankroll. Consistent edge. Kelly compounds it into something real. Formula 3 - EV Gap Detection The bot scans every BTC market looking for one thing: - Where is the market price wrong by more than 5%? - Market says 30¢. Real probability is 55¢. EV = +0.52. The bot enters. Most people never see this gap. The bot never misses it. Formula 4 - KL-Divergence BTC 5-minute and 15-minute markets are correlated. When they drift apart - that's an arb. The bot measures the statistical distance between them every second. When it crosses 0.2, it flags the trade. This is how hedge funds extracted $100K+ on correlated election markets. The same logic runs here. Formula 5 - Bayesian Updates New block confirmed. Volume spike. Price movement. The bot doesn't ignore signals - it updates. Prior probability was 54%. New data comes in. Posterior jumps to 71%. The bot re-prices in real time while the market is still asleep. Formula 6 - Stoikov Execution Entering at the wrong moment kills the edge. The bot calculates the reservation price-the exact point where the risk-adjusted entry makes sense. It doesn't chase. It doesn't panic. It waits for the right tick, then fills What this means in practice: - Every few seconds the bot runs all six formulas in parallel. - If LMSR confirms mispricing - EV gap is above 5% - Kelly says the bet size is justified - Bayesian posterior agrees - KL-divergence flags the correlated drift - Stoikov clears the execution price Only then does the bot enter. Six filters. One trade. This isn't a trading bot. It's a hedge fund strategy running on a prediction market. The edge is real. The math is public. The difference is most people never build it. Just insert all these formulas into Claude and create your own bot Add this post to bookmarks so you don’t lose it Soon I will publish another bot with working formulas

AdiiX

718,301 Aufrufe • vor 5 Monaten

In 2026, 90% of all Polymarket profits will be taken by Python scripts.. And this is not a prediction. It’s already happening. So if you think political pundits and sports gurus are making profits in these areas, let me be the bearer of bad news. Studies have revealed that merely “16% of users are profitable.” More importantly, “most of these users are not human.” How bots are exactly taking your money: Speed. One bot made $313 into $438K in a month. It’s a simple trick: the bot would look at the btc price a few seconds before the price update on Polymarket by checking the price on Binance. There’s no strategy or intelligence involved: simply beating the latency of the system. Risk-Free Arbitrage It looks for markets where "YES + NO" equals less than $1. "94 cents," for example. The bot buys both sides of the market and makes off with 6 cents guaranteed. This occurs thousands of times daily. Not gambling but math. Stream parsing. In esports, the script is faster than the blink of an eye when parsing the stream for games like Dota 2 and League of Legends. A team fight appears on the screen. The bot has already placed its bets on the winner using the old odds. What is meant by the turning point of 2026? Dynamic fees were introduced on Polymarket to get rid of simple bots. But what happened? The difficulty level on this marketplace simply increased. Today, it is not only fast scripts that win. Full-on AI robots have joined this game. They read news and respond to certain events within a millisecond. But here comes the painful part: barrier to entry is dirt cheap. Virtual private servers for $60 per month. Libraries written in Python waiting on GitHub. But here’s the thing: You don’t have to create a bot of your own. All you have to do is copy those which are already winning. PolyCop helps you to track the most profitable wallets and replicate their trades automatically. No code. No infrastructure. Just tap into the wallets that are already dominating. → Copy the winners: Humans deal on intuition and vibes. Bots play on numbers and network latency. In this game, "intuition" always loses against "code." You have two choices here. You could learn how to code or you could “copy” people who have done it before you

Blaze

65,717 Aufrufe • vor 7 Monaten

I built my own charting platform with Claude Fable, and it does a few things Tradingview straight up can't.. I call it EchoCharts.. so what it basically does is 1) Echoes: this is the big one. it takes the exact shape price action is forming right now them scans thousands of past candles, and finds every time the market looked just like this before. then it shows you what happened next. it'll tell you something like "20 matches, 30% closed higher 24 bars later, median -0.05%", and it draws those past paths forward on the chart so you see the full spread. 2) Sketch search: draw any shape with your mouse, and it finds where price actually did that in real history, then jumps you straight to it. great for the patterns you can feel but can't name. 3) Market clock: A 24-hour dial showing when this market actually moves. volatility, direction and volume, split by hour of the day and day of the week. so you stop trading dead hours and start trading when it counts. plus the basics done clean, candles, volume, a moving average, and RSI. So how it basically works is, it all runs on real binance data, 6,000 live candles.. Echoes matches the shape of the move using correlation, not the price level, so a setup today of bitcoin:native at $63K can match one from years ago at $10K and it only ever looks at fully finished history, it never peeks at the future, so the "what happened next" numbers stay honest. Now, Here’s how i built it: i described what i wanted and claude fable built it. plain javascript, the lightweight-charts library for the chart, around 700 lines, no framework. static site, opens in any browser. one thing i'll be straight about, echoes shows you what happened after similar setups in the past. that's history, not a prediction. it shows you the lay of the land, it doesn't call the future. might open-source the whole thing soon.

Axel Bitblaze 🪓

57,362 Aufrufe • vor 2 Monaten

Before you trade futures, you MUST the contracts you are trading. Every contract, comes with two key numbers: 1) Tick size 2) Tick value Tick size is the smallest price movement the contract can make Tick value is how much money you make or lose per tick Here's how to calculate what one point is worth: For example, let’s look at the NASDAQ 100 E-mini (NQ): • Tick size: 0.25 • Tick value: $5 per tick • One point = 4 ticks × $5 = $20 per point • Margin required: ~$17,600 Or the NASDAQ 100 Micro (MNQ): • Tick size: 0.25 • Tick value: $0.50 per tick • One point = 4 ticks × $0.50 = $2 per point • Margin required: ~$1,760 See the difference? The micro contract is 1/10th the size—perfect for beginners. S&P 500 E-mini (ES): • Tick value: $12.50 per tick • One point = $50 • Margin: ~$15,400 S&P 500 Micro (MES): • Tick value: $1.25 per tick • One point = $5 • Margin: ~$1,540 Why this matters: If your stop loss is 10 points away on MES, you're risking $50. On ES? You're risking $500. It’s the same setup, but different exposure. This is why most beginners blow up—they don't understand contract specs and trade position sizes way too large for their account. Pro tip: Stick to micro contracts (MES, MNQ) until you're consistently profitable. Lower margin means mistakes cost less while you learn. — This is just scratching the surface. In the full 2-hour futures trading masterclass, I break down: • How to calculate exact position sizes so you never blow your account • The 3 beginner mistakes that cost traders thousands (and how to avoid them) • Live chart examples walking through actual entries and exits step-by-step Just comment "FUTURES" and I'll send you the complete masterclass in the next few minutes.

The Trading Geek (Brad Goh)

11,122 Aufrufe • vor 6 Monaten

Stop Gambling, Start Engineering: The Ultimate Guide To CCXT Algorithmic Trading most traders are essentially walking into a high stakes casino with a blindfold on while the house has a high speed laser aimed directly at their bankroll. if you have ever felt the soul crushing weight of a liquidation notification at three in the morning then you know the market is a 24/7 beast that eats human emotion for breakfast there is a hidden bridge that connects your laptop to almost every major crypto exchange in existence and once you cross it the game changes forever. my name is moon dev 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 so i learned to code as in the past i spent hundreds of thousands on devs for app, thinking i would not be able to code myself w/ bots you must iterate to success so i decided to learn live on youtube, and now we are here, fully automated systems trading for me instead of getting liquidated. the secret weapon behind this transition is a library called ccxt which acts as a universal translator for exchanges like binance, bybit, and kucoin most people think they need to spend years studying computer science just to place a single trade via code but that is a lie designed to keep you on the sidelines. the reality is that once you understand how to initialize a connection you can control your entire portfolio with just a few lines of logic. it starts with importing the library and setting up your credentials in a way that doesn't leave your keys exposed to the world the first mistake that bankrupts most manual traders is the inability to act fast enough when the trend shifts. when you build a bot the first thing you need to master is the market order because it allows you to enter or exit a position instantly regardless of the price. it is the ultimate panic button for when a strategy goes south or a massive opportunity presents itself while market orders are great for speed they are the fastest way to get eaten alive by fees if you are not careful. this is where the limit order comes into play allowing you to dictate exactly what price you are willing to pay for an asset. by using a create limit order function you can place your bids and asks in the order book and wait for the market to come to you most traders forget that once an order is placed it stays active until it is either filled or manually removed. i have seen countless accounts go to zero because a bot kept piling on buy orders without ever checking to see if the previous ones were canceled. the cancel all orders function is the invisible shield that prevents your algorithm from accidentally over leveraging your account the real magic happens when you realize you can cancel more than just basic limit orders. there are untriggered conditional orders like stop losses and take profits that often hide in the background of an exchange waiting to ruin your day. by passing specific parameters into your cancel function you can wipe the slate clean and ensure your bot is starting from a neutral state every single time if you want to know what the whales are doing before it shows up on a candle chart then you need to be looking at the raw order book. fetching the order book gives you a direct view of every single bid and ask currently sitting on the exchange. this is the most honest data you can get because it represents real money waiting to be filled at specific price levels you can actually parse this data to find the exact top of the bid and the bottom of the ask to ensure your bot always gets the best possible entry. most retail traders are looking at delayed charts while your bot is reading the tape in real time and calculating the spread. this allows you to place orders that are optimized for the current liquidity rather than just guessing where the price might go one of the biggest hurdles in automation is managing the sheer volume of data that an exchange throws at you. when you fetch open high low close volume data you are getting the historical heartbeat of an asset across any timeframe you choose. this data is the foundation of every technical indicator from simple moving averages to complex machine learning models the problem is that raw data is often a mess of lists and dictionaries that are impossible for a human or a simple script to read efficiently. this is why we use pandas to convert that garbage into a structured data frame that looks exactly like a clean spreadsheet. once your data is in a data frame you can calculate rsi or macd with a single line of code and visualize the entire market structure the path to becoming a successful automated trader is not a sprint but a series of iterations toward a system that works. i chose to learn this live in front of the world because i wanted to prove that anyone can escape the cycle of over trading. you don't need a million dollars to start but you do need a system that removes the human element from the equation if you are still clicking buttons on a website then you are competing against machines that can process thousands of data points per second. it is time to stop playing a rigged game and start building your own edge in the market. the code is there for anyone to grab and the only thing standing between you and a fully automated portfolio is the willingness to sit down and write the first line every algorithm you build is a brick in a wall that protects your capital from the emotional swings of the crypto market. i spend my days refining these systems and sharing the process because i know how lonely it feels to lose everything to a flash crash. we are building a community where code is the tool and financial freedom is the goal the final step is realizing that your balance is just a number that your bot needs to manage with cold logic. by fetching your balance frequently your bot can calculate position sizes based on your total equity ensuring that no single trade can ever wipe you out. this is the difference between gambling and systematic trading and it is accessible to anyone with an internet connection i hope you take these tools and start building something that allows you to sleep peacefully while the markets do their thing. the industry is secretive for a reason but we are breaking those walls down one line of code at a time. the journey is long but the reward of never having to worry about a liquidation again is worth every second of the struggle

Moon Dev

14,105 Aufrufe • vor 6 Monaten