DEV Community: NinE X

How My Polymarket Dual-Leg Arbitrage Bot (@dual-leg) Generated +$2,506 in 24 Hours — Full Strategy Breakdown

NinE X — Wed, 06 May 2026 17:07:04 +0000

[Intro paragraph]

In May 2026 I launched @dual-leg on Polymarket. In just weeks it has racked up 222 predictions and delivered +$2,506.86 in realized profit in the last 24 hours alone. Positions are currently at $0.00 — everything is closed and banked.

This isn’t a directional prediction bot. It’s a pure dual-leg arbitrage engine that exploits tiny, mathematically guaranteed inefficiencies in Polymarket’s binary Up/Down markets.

The Math Behind Dual-Leg Arbitrage

Every Polymarket binary contract (e.g. “Bitcoin 15-Minute Up or Down”) has two outcomes:

YES (Up) share
NO (Down) share

At resolution the correct share always pays exactly $1.00. Therefore:

Up price + Down price must equal $1.00 at settlement.

When the sum of the best available ask prices dips below $1.00, you can buy one share of each and lock in risk-free profit:

Example:

Best ask Up = $0.48
Best ask Down = $0.49 → Total cost = $0.97 → Guaranteed payout = $1.00 → 3.09% locked profit (minus tiny fees/slippage)

The edge is small per trade, but the frequency is massive.

How the Bot Works (Technical Deep Dive)

Market Scanner

Continuously monitors every active short-term crypto binary market via Polymarket’s public API and WebSocket order books.
Mispricing Detector

Real-time calculation:

if (best_ask_Up + best_ask_Down) < THRESHOLD (e.g. 0.985) → trigger.
Atomic Dual-Leg Execution

The critical part. The bot places both buy orders in the same micro-batch with strict timing (≤50 ms window).
- If one leg fails → auto-cancel or hedge the other instantly.
- Retry logic on transient failures.
- Liquidity & volume filters prevent getting stuck in thin markets.
Position Management
- Hold to resolution for full edge, OR
- Exit early when prices converge (faster capital turnover).
- Dynamic position sizing based on available edge and current portfolio risk.
Risk Controls
- Never naked (always both legs).
- Max exposure per market.
- Automatic shutdown on extreme volatility or API issues.

Result? Near-zero directional risk and compounding small edges 24/7.

Real Performance (as of May 6, 2026)

Account: @dual-leg (joined May 2026)
Predictions: 222
24-hour realized PNL: +$2,506.86
Current positions value: $0.00 (fully realized)
Track record: https://polymarket.com/@dual-leg

This is the same class of strategy that has been documented turning tiny starting capital into six figures in weeks — but @dual-leg is battle-tested and running live right now.

Why I’m Selling the Account

The bot has proven the strategy works at scale. I’m now liquidating the full account + complete automation setup to free up capital for the next phase of development.

Serious buyers only — full handover, documentation, and live monitoring included.

Want it? DM me on Telegram (@xxninex) or reply to the thread.

Link to live profile: https://polymarket.com/@dual-leg

Who’s next to run the money printer?

python #polymarket #trading #bot #how #to #build #polymarkettradingbot

🚀 Just hit +$1,045 PNL in the FIRST MONTH with my Polymarket trading bot (2,211 predictions). Live proof on @devnova2 — now open for sale (full code + strategy) or capital investment to scale. Full breakdown + video in the article 👇

NinE X — Tue, 05 May 2026 07:41:03 +0000

NinE X

Apr 29

How I Built a Profitable Polymarket Trading Bot That Hit +$1,045 PNL in Its First Month (Now Available for Sale or Investment)

#polymarket #trading #bot

Comments

1 min read

How I Built a Profitable Polymarket Trading Bot That Hit +$1,045 PNL in Its First Month (Now Available for Sale or Investment)

NinE X — Wed, 29 Apr 2026 07:05:11 +0000

My automated Polymarket trading bot just delivered +$1,045.09 profit with 2,211 predictions in its very first month (April 2026).

In this video I show:
• Live proof on my public profile @devnova2
• How the bot works (high-level strategy)
• Performance breakdown & risk management
• Why I’m selling the bot + investment opportunities

Trading bot Community (https://t.me/+VRzf6K8qQ7tiN2Qx)
My Polymarket Account: https://www.betmoar.fun/profile/0x86339e69bcf83634ea7fcfa5a495dff07c21cb00?tab=activity

Interested in buying the full bot + code + strategy?

Or investing capital to scale liquidity and volume?

DM me on https://t.me/xxninex right now.

rust #python #polymarket #trading #bot #arbitrage #copytrading #marketmaker #polymarkettradingbot #polymarketcopytradingbot #polymarketbot #tradingbot #copytradingbot #arbitragebot

PredictionMarket #CryptoBot #PassiveIncome

🚨 "Only an insider can pull off a trade this magical." Look at https://polymarket.com/@ugood?tab=positions: Joined April 2026 11 trades. 11 wins. 100% accuracy. All on short-term Bitcoin Up/Down markets. +$41k profit in ONE day.

NinE X — Fri, 17 Apr 2026 13:47:35 +0000

@ugood on Polymarket

Check out this profile on Polymarket.

polymarket.com

"Only an Insider Could Trade Like This": The @ugood Mystery and What’s Really Happening Behind Polymarket

NinE X — Fri, 17 Apr 2026 13:45:03 +0000

One trader goes 11/11 on Bitcoin Up/Down markets, banks $41k in a day, then vanishes. Just another day on Polymarket — or a symptom of deeper issues in prediction markets?

Prediction markets were supposed to be the purest form of crowd wisdom. On Polymarket, anyone can bet real money (crypto) on everything from elections to crypto price moves to geopolitical events.

But when a brand-new account (@ugood) nails every single one of 11 consecutive Bitcoin Up/Down trades for a $41k+ profit in 24 hours… and then goes completely dark?

That’s not wisdom. That’s a red flag.

Profile: https://polymarket.com/@ugood?tab=positions

https://www.betmoar.fun/profile/0xc06383465b7ea3bb6686acdd5bd806dc5f5d27b9?tab=activity

The @ugood Playbook

Joined: April 2026
Trades: 11 short-term BTC directional markets (likely 5-minute intervals)
Win rate: 100%
Profit: Over $41k in one day
Current status: Positions value $0.00, biggest win listed at ~$11.3k, 11 predictions total

This is the classic "hit-and-run" pattern now familiar to Polymarket watchers. New wallets appear, print money on hyper-liquid short-term markets, then ghost to avoid being copied by trading bots and copy-trader tools.

The Bigger Picture: "Informed" Traders Everywhere

@ugood isn’t alone. In 2026, Polymarket has faced wave after wave of scrutiny:

Six accounts reportedly made ~$1M betting on exact U.S. strike timing against Iran.
Fresh wallets netted $400k+ on Nicolás Maduro’s capture hours before it happened.
Researchers estimate "informed" traders have pocketed $143 million in anomalous profits since 2024.

In response, Polymarket updated its rules in March 2026:

Bans on trading stolen confidential information
No illegal tips or second-hand insider info
Prohibits bets by anyone in a position to influence the event

Federal prosecutors have met with the platform. The smell of real insider trading is in the air.

Why This Matters

Prediction markets are powerful because they put skin in the game. But when a tiny group of players with non-public edges consistently extracts massive value, the market stops being efficient and starts looking like a rigged casino.

Possible explanations for @ugood-style magic:

Ultra-sophisticated trading algorithms + low-latency access
Leaked order-flow or exchange signals
Coordinated groups or whales sharing alpha
Actual non-public information (the scary one)

What Needs to Change?

Greater transparency on wallet clustering, faster enforcement, and perhaps on-chain provenance tools. Users deserve to know if they’re betting against genuine crowd wisdom or against someone who already knows the answer.

Conclusion

@ugood’s perfect run is gone as fast as it appeared. But the questions remain.

Is Polymarket the future of information discovery — or just the newest playground for insiders?

What’s your take? Have you spotted similar "magical" traders? Drop your thoughts in the comments.

The Most Profitable Polymarket Trading Strategy in 2026: Why Arbitrage (and Bots) Still Win Big

NinE X — Thu, 16 Apr 2026 21:27:19 +0000

The Most Profitable Polymarket Trading Strategy in 2026 Isn't What You Think*

If you're trading on Polymarket hoping to nail the next big election, crypto crash, or sports upset — you're probably doing it wrong.

Data from 2025–2026 shows that only a small percentage of wallets are consistently profitable. The winners? Not the loud "high-conviction" directional bettors, but traders (mostly bots) quietly extracting edge through arbitrage and market making.

In fact, arbitrage alone has seen tens of millions extracted in guaranteed or near-guaranteed profits, with bots dominating execution.

Why Arbitrage Dominates in 2026

Polymarket turns real-world events into tradable shares priced between $0.01 and $0.99, representing probabilities. When prices don't perfectly reflect math, liquidity, or correlations — opportunities appear.

Simple retail arbitrage has tightened due to competition, but advanced, automated versions remain highly profitable. Here's what actually works today:

1. Cross-Platform Arbitrage (Polymarket vs. Kalshi and others)

Buy the cheaper version of the same (or logically equivalent) outcome on one platform and hedge/sell on another.

Example: "Will the Fed cut rates in June 2026?" Polymarket YES at $0.22 Kalshi equivalent at $0.27 → Buy YES on Polymarket + NO on Kalshi for a locked-in ~5% edge (adjust for fees).

This is often called one of the most reliable setups in 2026, especially in macro and political markets where participant bases differ (crypto-native vs. regulated U.S.).

2. Intra-Market / Sum-to-One Arbitrage

In binary or multi-outcome markets, if the combined prices of all mutually exclusive outcomes sum to less than $1, buy them all.

You’re mathematically guaranteed $1 at resolution.

Real insight: Sophisticated traders pulled an estimated $40 million in such guaranteed profits from 2024–early 2025 data alone. Top performers averaged hundreds per trade, executed thousands of times.

Bots scan for these 24/7.

3. Correlation & Logical Arbitrage

Exploit impossible or mispriced relationships across related markets (e.g., presidential winner vs. party control probabilities).

4. Automated Market Making (The Consistent Workhorse)

Place limit orders on both sides of the spread to capture the bid-ask difference + any maker rebates.

Reported stats for bots: 78–85% win rate, 1–3% monthly returns, very low volatility.

It's "unsexy" but acts as reliable ballast for portfolios. Many top bots combine this with arbitrage for compounded gains.

Bonus High-Edge Variants Bots Love

Latency / Short-Term Crypto Markets (e.g., 5-min or 15-min BTC/ETH up/down): Some bots exploit tiny lags vs. spot exchanges, turning small capital into massive multiples (one reported $313 → $414k in a month at ~98% win rate — though these are extreme and high-frequency).
Information / Probability Edge: Faster processing of news or data than the crowd (less "arbitrage," more alpha).

The Reality Check

Only ~7–17% of Polymarket wallets are net profitable long-term. Bots and disciplined pros take the lion's share.
Simple manual arb spreads have shrunk (median ~0.3% in some analyses), so speed, automation, and scale matter more than ever.
Risks: Gas/taker fees on Polygon, execution slippage, resolution disputes, and capital requirements for meaningful size.

How to Get Started in 2026

Beginners: Start with manual cross-platform checks (monitor Polymarket + Kalshi side-by-side). Use small size and track fees.
Intermediate/Advanced: Build or use bots (Python/JS on USDC). Tools like Dune Analytics dashboards help spot edges. Focus on high-volume or niche markets.
Bankroll Rule: Apply proper sizing (e.g., Kelly Criterion). Diversify across strategies.
Capital Sweet Spot: $100–$10k+ works for testing; larger for scaling market making.

Bottom line: Polymarket in 2026 is less about being a great predictor and more about treating it like a structural inefficiency machine. Arbitrage + market making turns prediction markets into repeatable, math-backed income rather than pure speculation.

Treat it seriously (with discipline and tech), and it can deliver consistent edge. Treat it like gambling, and the house (or the bots) wins.

What’s your experience with Polymarket arb or bots? Drop it in the comments — or share your best edge.

python #polymarket #trading #bot #polymarkettradingbot

Building a Polymarket Trading Bot: EndCycle Sniper Strategy Test & Development Insights

NinE X — Sun, 12 Apr 2026 05:26:46 +0000

Building a Polymarket Trading Bot: Testing the Updated EndCycle Sniper Strategy

Polymarket has quickly become one of the most popular prediction market platforms, especially for event-based trading on politics, crypto, sports, and more. With real money (USDC) on the line and high liquidity on major events, many developers are now building automated trading bots to gain an edge.

In this article, I'll walk through key insights from building and testing a Polymarket trading bot, focusing on the EndCycle Sniper strategy.

What is Polymarket?

Polymarket is a decentralized prediction market built on Polygon (Ethereum layer-2). Users bet on the outcome of real-world events by buying "Yes" or "No" shares. Prices fluctuate between $0.01 and $0.99 based on market sentiment, and the correct outcome pays $1 per share.

It's a goldmine for algorithmic trading because:

Markets are information-driven and often inefficient early on.
High-volume events (elections, crypto launches, etc.) create opportunities for sniping mispriced contracts.
Everything is on-chain and transparent.

The EndCycle Sniper Bot Strategy

The EndCycle Sniper is an updated strategy designed to capitalize on the final phase of a market's lifecycle — when resolution is approaching and liquidity or volatility creates temporary inefficiencies.

Key elements of the strategy typically include:

Monitoring market resolution timelines
Detecting price discrepancies near the "end cycle"
Automated entry/exit based on probability models vs. current share prices
Risk management (position sizing, stop-loss logic)

In the recent strategy test video, the updated bot was put through real market conditions to evaluate profitability, latency, and edge.

Why Build Your Own Trading Bot?

Manual trading on Polymarket works, but bots offer:

24/7 monitoring across hundreds of markets
Faster execution than humans
Data-driven decisions using historical odds, on-chain data, and external signals (news, Twitter sentiment, etc.)
Backtesting capabilities before risking capital

Core Components of a Polymarket Bot

Data Fetching Layer — Pull market data, prices, liquidity, and resolution info via Polymarket's API or subgraph.
Analysis Engine — Probability modeling, arbitrage detection, or sniper logic.
Execution Layer — Interact with smart contracts to buy/sell shares (using ethers.js, web3.py, or similar).
Risk & Monitoring — Logging, alerts, position limits, and wallet management.

Lessons from the EndCycle Sniper Test

From the strategy test:

The updated version showed improved timing on end-cycle opportunities.
Focus on low-latency execution is critical — Polymarket markets can move fast near resolution.
Backtesting against historical resolved markets helps validate edge before going live.
Gas fees on Polygon are low, but still factor them into profitability calculations.

Common pitfalls to avoid:

Over-optimizing on past data (curve-fitting)
Ignoring slippage on low-liquidity markets
Not accounting for resolution disputes or delays

Getting Started with Your Own Bot

Here’s a high-level starting point (Python example using Polymarket's public API):

import requests
import time

def get_active_markets():
    url = "https://gamma-api.polymarket.com/markets"
    params = {"active": True, "limit": 50}
    response = requests.get(url, params=params)
    return response.json()

# Example: Filter markets ending soon
markets = get_active_markets()
for market in markets:
    if market.get("end_date") and "soon" in market["end_date"]:  # customize logic
        print(f"Sniper candidate: {market['question']}")

For full on-chain interaction, you'll need:

A wallet with USDC on Polygon
web3 library or ethers for contract calls
Polymarket's conditional token contracts

Next Steps & Improvements

Integrate real-time price feeds and order book data
Add machine learning for probability forecasting
Implement multi-market portfolio management
Backtest rigorously with historical data

If you're interested in the full strategy test and live demo, check out the video here:

https://www.youtube.com/watch?v=ErLEL2F9_CI

Conclusion

Building a Polymarket trading bot combines blockchain development, data analysis, and trading strategy — a perfect project for developers who want to dive into DeFi and prediction markets.

The EndCycle Sniper approach shows promise for capturing value in the final stages of markets. Start small, test thoroughly, and never risk more than you can afford to lose.

Have you built anything on Polymarket? What's your favorite strategy or tech stack for trading bots? Share in the comments!

rust #python #polymarket #trading #bot #arbitrage #copytrading #marketmaker #polymarkettradingbot #polymarketcopytradingbot #polymarketbot #tradingbot #copytradingbot #arbitragebot

How to develop the polymarket trading bot that makes the stable profits? Now live show: https://www.youtube.com/watch?v=ErLEL2F9_CI Welcome to the strategy test for EndCycle Sniper Bot.

NinE X — Sat, 11 Apr 2026 20:24:51 +0000

youtube.com

How to build a Polymarket trading bot: Fixed Market Reversal Vulnerability in My Polymarket Trading Bot – EndCycle Sniper Update & Live Test Results

NinE X — Fri, 10 Apr 2026 15:18:14 +0000

EndCycle Sniper v2.0: Testing My Updated Polymarket Trading Bot with Smart Score Decision System

The biggest weakness of my original EndCycle Sniper bot was its vulnerability to sudden market reversals on Polymarket.

To solve this, I built a smart score-based decision system that evaluates multiple market characteristics before placing any buy order. The system not only decides whether to buy, but also calculates the optimal buy quantity based on the score.

Today I ran live tests on the updated version. Here's exactly what happened.

First Cycle Results

The decision engine approved buys for three assets:

ETH
SOL
XRP

No assets were rejected in this cycle.

On the actual Polymarket platform:

Only XRP was fully executed.
ETH and SOL orders were still in progress at the time of recording.

The bot now supports fully automatic redemption — no manual intervention required when positions close.

After checking positions, the cycle completed successfully with the position closed.

Second Cycle

In the next cycle, the smart score system demonstrated its value:

SOL was automatically rejected because its score fell below the safe threshold.

This rejection helps minimize potential losses during unfavorable conditions.

Key Improvements in v2.0

Score-based buy approval (instead of always firing)
Dynamic position sizing based on confidence score
Better protection against market reversals
Seamless automatic redemption

The combination allows the bot to chase high-probability opportunities while avoiding low-quality entries.

Video Walkthrough

Watch the full testing process here:

https://www.youtube.com/watch?v=R1bBPF9c4NY

In the video I show the bot interface, score calculations, executed trades, rejected signals, and redemption flow.

Want the Updated EndCycle Sniper Bot?

If you're building or running your own Polymarket trading strategies and want access to this updated version, reach out:

rust #python #polymarket #trading #bot #arbitrage #copytrading #marketmaker #polymarkettradingbot #polymarketcopytradingbot #polymarketbot #tradingbot #copytradingbot #arbitragebot

Open Call: Collaborate on Polymarket Trading Bots – Investment & 70/30 Profit Split

NinE X — Fri, 03 Apr 2026 07:51:33 +0000

Open Collaboration: Polymarket Trading Bots Development

I'm actively looking for collaborators who are willing to invest in advancing the Polymarket Trading Bots suite.

What we're building

High-performance, low-latency Rust-based trading bots for Polymarket featuring:

Latency arbitrage opportunities
Fast 5-minute event sniping (BTC/ETH and more)
Synth / Bittensor AI-powered trading edges
Copy trading and market making strategies
Telegram-controlled interface with simulation & risk management

Collaboration Terms

Investment in further development and optimization
Profit Split: 30% (me) : 70% (you)
Profits generated immediately upon signing the collaboration contract

This is geared toward serious developers, quant traders, or teams who want skin in the game and a larger share of the upside.

Next Steps

If you're interested:

polymarket #tradingbots #rust #crypto #defi #quanttrading

Hi, anyone knows this? Currently limit order takes the fee on polymarket?

NinE X — Thu, 02 Apr 2026 14:09:40 +0000

Introduction to Modern System Design: Why This Course Changes How You Think About Building Scalable Systems

NinE X — Tue, 24 Mar 2026 13:10:45 +0000

If you’ve ever felt that most system-design courses just hand you “copy-paste” solutions, you’re going to love what Educative’s Grokking Modern System Design Interview does differently.

I just went through the opening module — “Introduction to Modern System Design” — and it’s one of the clearest, most thoughtful intros I’ve seen.

What is System Design, really?

System design is the process of defining components and their integration, APIs, and data models to build large-scale systems that meet both functional and non-functional requirements.

It sits at the intersection of:

Computer networking
Parallel computing
Distributed systems

(The classic triangle you’ll see in the course)

The goal? Build systems that are:

Reliable → handle faults, failures, errors
Effective → meet user needs + business requirements
Maintainable → easy to scale up/down and extend with new features

The Building-Block Approach (this is gold)

Instead of treating every design problem from scratch, the course identifies 16 fundamental building blocks (load balancers, caches, databases, message queues, etc.) that appear in almost every modern system.

This does two brilliant things:

You get deep dives + mini-design problems for each block.
When you tackle a real design question, you can focus on the unique parts of the problem instead of reinventing the wheel every time.

Course Philosophy (why it feels fresh)

No boilerplate designs – attacks problems from first principles.
Deep + broad – traditional problems get proper rationale + trade-off discussions; new problems cover availability, consistency, fault-tolerance, maintainability.
Iterative process – real systems improve over iterations. The course teaches you to start simple, spot bottlenecks, and refine (they even recommend doing two passes in interviews).
Interactive learning – guided steps + full end-to-end exercises + quizzes.

Who should take it?

Software engineers prepping for system-design interviews
Backend (and full-stack) developers aiming for principal/engineer or architect roles
Site Reliability Engineers (SREs) who debug production fires daily
Product/Project/Engineering managers who need to steer large-scale systems
Anyone who wants to understand how giant tech companies actually build and evolve their platforms

Prerequisites

Basic distributed systems knowledge helps (they even link a great refresher course). Some networking and OS fundamentals are a bonus.

Bottom line: If you want to understand system design instead of just memorizing answers, this course is the one.

I’m already excited to dive into the rest of the modules.

Have you started it yet? Drop your thoughts below 👇

Course link:

https://www.educative.io/courses/grokking-the-system-design-interview/introduction-to-modern-system-design

DEV Community: NinE X

How My Polymarket Dual-Leg Arbitrage Bot (@dual-leg) Generated +$2,506 in 24 Hours — Full Strategy Breakdown

The Math Behind Dual-Leg Arbitrage

How the Bot Works (Technical Deep Dive)

Real Performance (as of May 6, 2026)

Why I’m Selling the Account

python #polymarket #trading #bot #how #to #build #polymarkettradingbot

🚀 Just hit +$1,045 PNL in the FIRST MONTH with my Polymarket trading bot (2,211 predictions). Live proof on @devnova2 — now open for sale (full code + strategy) or capital investment to scale. Full breakdown + video in the article 👇

How I Built a Profitable Polymarket Trading Bot That Hit +$1,045 PNL in Its First Month (Now Available for Sale or Investment)

How I Built a Profitable Polymarket Trading Bot That Hit +$1,045 PNL in Its First Month (Now Available for Sale or Investment)

rust #python #polymarket #trading #bot #arbitrage #copytrading #marketmaker #polymarkettradingbot #polymarketcopytradingbot #polymarketbot #tradingbot #copytradingbot #arbitragebot

PredictionMarket #CryptoBot #PassiveIncome

🚨 **"Only an insider can pull off a trade this magical."** Look at https://polymarket.com/@ugood?tab=positions: Joined April 2026 **11 trades. 11 wins. 100% accuracy.** All on short-term Bitcoin Up/Down markets. **+$41k profit in ONE day.**

@ugood on Polymarket

**"Only an Insider Could Trade Like This": The @ugood Mystery and What’s Really Happening Behind Polymarket**

The Most Profitable Polymarket Trading Strategy in 2026: Why Arbitrage (and Bots) Still Win Big

Why Arbitrage Dominates in 2026

Bonus High-Edge Variants Bots Love

The Reality Check

How to Get Started in 2026

python #polymarket #trading #bot #polymarkettradingbot

Building a Polymarket Trading Bot: EndCycle Sniper Strategy Test & Development Insights

Building a Polymarket Trading Bot: Testing the Updated EndCycle Sniper Strategy

What is Polymarket?

The EndCycle Sniper Bot Strategy

Why Build Your Own Trading Bot?

Core Components of a Polymarket Bot

Lessons from the EndCycle Sniper Test

Getting Started with Your Own Bot

Next Steps & Improvements

Conclusion

rust #python #polymarket #trading #bot #arbitrage #copytrading #marketmaker #polymarkettradingbot #polymarketcopytradingbot #polymarketbot #tradingbot #copytradingbot #arbitragebot

How to develop the polymarket trading bot that makes the stable profits? Now live show: https://www.youtube.com/watch?v=ErLEL2F9_CI Welcome to the strategy test for EndCycle Sniper Bot.

How to build a Polymarket trading bot: Fixed Market Reversal Vulnerability in My Polymarket Trading Bot – EndCycle Sniper Update & Live Test Results

EndCycle Sniper v2.0: Testing My Updated Polymarket Trading Bot with Smart Score Decision System

First Cycle Results

Second Cycle

Key Improvements in v2.0

Video Walkthrough

Want the Updated EndCycle Sniper Bot?

Links

rust #python #polymarket #trading #bot #arbitrage #copytrading #marketmaker #polymarkettradingbot #polymarketcopytradingbot #polymarketbot #tradingbot #copytradingbot #arbitragebot

Open Call: Collaborate on Polymarket Trading Bots – Investment & 70/30 Profit Split

Open Collaboration: Polymarket Trading Bots Development

What we're building

Collaboration Terms

Next Steps

Links

polymarket #tradingbots #rust #crypto #defi #quanttrading

Hi, anyone knows this? Currently limit order takes the fee on polymarket?

Introduction to Modern System Design: Why This Course Changes How You Think About Building Scalable Systems

What is System Design, really?

The Building-Block Approach (this is gold)

Course Philosophy (why it feels fresh)

Who should take it?

Prerequisites

🚨 "Only an insider can pull off a trade this magical." Look at https://polymarket.com/@ugood?tab=positions: Joined April 2026 11 trades. 11 wins. 100% accuracy. All on short-term Bitcoin Up/Down markets. +$41k profit in ONE day.

"Only an Insider Could Trade Like This": The @ugood Mystery and What’s Really Happening Behind Polymarket