DEV Community: ItsRagnar

Building a Copy Trading System for Prediction Markets

ItsRagnar — Thu, 02 Jul 2026 07:07:31 +0000

One of the most exciting aspects of prediction markets isn't necessarily making predictions yourself.

It's building systems that automatically follow people who consistently make better predictions than everyone else.

This concept—commonly known as copy trading—has become increasingly popular across traditional finance, crypto, and prediction markets like Polymarket. Instead of spending hours researching every market, you can automate the process of identifying skilled traders and replicating their positions while managing your own risk.

Recently, I built a copy trading workflow for Polymarket that automatically mirrors selected traders with configurable allocation rules, slippage protection, and risk management.

I also recorded a complete walkthrough explaining how the system works.

📺 Watch the full video:

https://www.youtube.com/watch?v=MLEaycRHR0I

Why Copy Trading?

Most market participants don't consistently outperform the market.

But some traders do.

Rather than trying to become the smartest predictor in every category, copy trading focuses on identifying traders with a proven edge and automatically following their activity.

A simplified workflow looks like this:

Trader Places Order
        ↓
Blockchain Event
        ↓
Bot Detects Trade
        ↓
Risk Management
        ↓
Execution Engine
        ↓
Follower Position Opened

Detecting trades is actually the easy part.

The real engineering challenge is determining:

Which traders deserve to be copied
How much capital should be allocated
When a trade should be ignored
When a trader should be removed from the portfolio

Finding the Right Traders

Not every profitable trader is worth copying.

When selecting accounts, I generally look for traders who:

Focus on a specific market niche
Maintain consistent long-term profitability
Have a meaningful trading history
Avoid oversized or highly volatile positions
Demonstrate disciplined capital management

One interesting observation is that many of the best-performing traders aren't necessarily the biggest accounts.

Some relatively unknown traders quietly generate impressive returns through disciplined execution, making them ideal candidates for automated strategies.

Position Sizing

One of the biggest design decisions in any copy trading system is deciding how much capital to allocate.

There are two common approaches.

Fixed Allocation

Every copied trade receives the same amount.

Example:

Trader buys $500
You buy $10

Trader buys $5
You buy $10

Advantages

Predictable risk
Simple capital planning
Prevents oversized exposure

Disadvantages

Doesn't reflect trader conviction
Can over-allocate small trades

Percentage Allocation

Instead of using a fixed amount, positions scale with the trader.

Trader buys $100
You copy 50%
You buy $50

Trader buys $20
You copy 50%
You buy $10

Advantages

Preserves conviction
Scales naturally with position size

Disadvantages

Large trades increase risk
Requires stronger portfolio management

In practice, the best systems support both allocation methods depending on the trader being followed.

Slippage Protection

Execution quality is one of the hardest problems in copy trading.

By the time your bot receives a trade:

The original trader has already entered.
Market prices may have changed.
Liquidity may have shifted.

Without proper controls, what was a profitable entry for the leader may become a poor entry for the follower.

A typical execution flow looks like:

Trade Detected
       ↓
Current Market Price
       ↓
Calculate Slippage
       ↓
Within Threshold?
       ↓
Execute or Reject

Setting maximum slippage thresholds helps prevent chasing trades that have already moved too far.

Why Speed Matters

Prediction markets can move surprisingly fast.

A skilled trader enters.

The market reacts.

Copy traders arrive seconds later.

Those few seconds often determine whether you're capturing the same edge—or simply providing exit liquidity.

That's why low-latency infrastructure matters.

Useful components include:

WebSocket subscriptions
Event-driven architecture
Real-time order monitoring
Fast execution pipelines
Automatic retry logic

The faster your execution, the closer your fills will be to the original trader's.

Monitoring Performance

One common mistake is assuming a trader who performed well last month will continue performing well indefinitely.

Markets evolve.

Strategies lose effectiveness.

Edges disappear.

A robust copy trading platform should continuously evaluate every trader using metrics such as:

ROI
Win rate
Average position size
Drawdown
Risk-adjusted returns
Recent performance trends

The system should automatically reduce or eliminate capital allocated to traders whose performance deteriorates.

Automation shouldn't stop at copying trades—it should extend to selecting who gets copied.

Beyond Copy Trading

The next generation of copy trading systems will move beyond simply mirroring trades.

Instead, they'll function as automated portfolio managers capable of:

Following multiple traders simultaneously
Dynamically allocating capital
Rebalancing exposure automatically
Disabling underperforming strategies
Applying custom portfolio risk rules
Optimizing allocations based on historical performance

At that point, you're no longer building a copy trading bot.

You're building an intelligent portfolio management system for prediction markets.

Open Source

If you'd like to explore the implementation or build your own trading workflows, I've open-sourced the project on GitHub.

GitHub Repository

DextersSlab / Polymarket-Arbitrage-Trading-Bot

Polymarket Arbitrage Bot | Polymarket Trading Bot | Polymarket Arbitrage Bot | Polymarket Trading Bot | Polymarket Arbitrage Bot | Polymarket Trading Bot | Polymarket Arbitrage Bot | Polymarket Trading Bot | Polymarket Arbitrage Bot | Polymarket Trading Bot | Polymarket Arbitrage Bot | Polymarket Trading Bot | Polymarket Arbitrage Bot | Polymarket

Polymarket Arbitrage Trading Bot (BTC, ETH Momentum Arbitrage trading bot)

TypeScript bot for Polymarket CLOB V2 5-minute BTC and ETH Up/Down markets. It monitors Chainlink strike/spot vs order books, enters momentum-aligned positions late in each epoch, optionally completes the opposite leg for a boxed pair, and manages exits with configurable risk rules.

You can check this bot pnl with this account.

https://polymarket.com/@9g9g99

BTC-ETH-Momentum-Arbitrage-Bot-9g9g99.mp4

Built with @polymarket/clob-client-v2 and Node.js 20+. See V2_MIGRATION.md for Polymarket exchange upgrade notes.

Features

Dual-market confirmation — BTC and ETH must align before entries (reduces false signals)
Chainlink Data Streams — strike at epoch open + live spot for spot_minus_strike
High-frequency monitor — REST CLOB /book polling (~150ms), merged btc/eth wave logs
Six strategy phases — buy1, buy2, buy3, buy4, risk1, risk2, risk3
Paper trading — simulated fills without live CLOB orders
Optional redeem — gasless redeem via Polymarket builder relayer after epoch end
Deposit wallet…

View on GitHub

The repository includes examples for interacting with Polymarket and serves as a solid starting point for building trading automation, arbitrage strategies, or copy trading infrastructure.

Learn More

I regularly publish videos covering prediction markets, Polymarket automation, algorithmic trading, and open-source trading tools.

YouTube Channel

https://www.youtube.com/@ItsRagnar

If you're interested in building trading infrastructure or experimenting with prediction market automation, consider subscribing for future tutorials and project breakdowns.

Final Thoughts

Copy trading sounds deceptively simple:

Find a profitable trader and copy their trades.

In reality, building a successful system requires solving several engineering problems around execution speed, slippage control, position sizing, trader evaluation, and risk management.

The traders matter.

But the infrastructure around them matters even more.

As prediction markets continue to grow, I believe automated portfolio management and intelligent copy trading systems will become one of the most important areas of development for traders and builders alike.

Best Polymarket Trading Tools in 2026 (Analytics, Copy Trading, Execution & Arbitrage Bots)

ItsRagnar — Tue, 30 Jun 2026 16:52:10 +0000

Polymarket has become one of the most active prediction markets in crypto, where traders speculate on real-world outcomes ranging from macroeconomic events to politics, sports, and crypto price movements.

While many users trade directly on the platform, advanced participants often rely on external tools to gain an edge. These tools help with market analytics, smart money tracking, faster execution, copy trading, and even automated arbitrage strategies.

This guide breaks down some of the most widely used Polymarket tools today, along with an open-source arbitrage trading bot from GitHub that demonstrates how automation is being applied in this ecosystem.

1. HashDive – Smart Money & Whale Analytics

HashDive is a Polymarket analytics platform focused on wallet-level intelligence and market flow tracking.

It provides:

Smart money scoring
Whale buy/sell detection
Wallet profitability tracking (P&L)
Market volume and sentiment breakdown
Holder distribution (YES/NO positioning)

One of its key strengths is visibility into large and historically profitable wallets. Traders can inspect top participants in a market, analyze their behavior, and track whether high-conviction “smart money” is accumulating or exiting positions.

Typical use cases include:

Identifying informed traders early
Validating trade ideas using wallet behavior
Spotting accumulation before price movement

2. PolyCop – Copy Trading Automation

PolyCop is a copy trading system designed to automatically replicate the trades of selected wallets on Polymarket.

Core features include:

Wallet-based copy trading
Adjustable position sizing (percentage mirroring)
Automated execution
Portfolio tracking
Low-latency trade replication

Workflow:

Identify a profitable wallet (often via analytics tools like HashDive)
Add the wallet address into PolyCop
Set copy ratio (for example 50% or 100%)
The bot mirrors trades automatically

This approach is popular among users who want exposure to experienced traders without actively managing positions.

3. TradeFox – Advanced Trading Terminal

TradeFox is a dedicated trading interface built for faster execution and more advanced trading workflows compared to the standard Polymarket UI.

Key features:

Faster order execution
Improved order book visualization
Portfolio dashboard
Market filters (liquidity, volume, probability)
Integrated copy trading tools

It is primarily aimed at active traders who need speed, clarity, and better execution tools.

4. PolySites – Detecting Unusual Trading Activity

PolySites focuses on identifying abnormal or statistically unusual trading behavior across markets.

It highlights:

Large or sudden wallet trades
Rapid position changes
Emerging low-profile wallets making aggressive bets
Activity spikes in specific markets

While often discussed in the context of “insider-like” behavior, it’s important to clarify that unusual trading does not confirm insider information. It simply identifies patterns that may be worth further research.

Traders typically use it as a discovery and signal-generation tool rather than a predictive system.

5. PolySpy – New Market Alerts

PolySpy is a market alert system designed to notify users when new prediction markets are created.

This is useful because newly launched markets often have:

Low liquidity
Inefficient pricing
Wide spreads
Early-stage arbitrage opportunities

Users can configure alerts based on categories such as:

Crypto
Politics
Macro events
Sports

Early access to new markets can sometimes provide informational advantages before liquidity and pricing stabilize.

Bonus: Open-Source Polymarket Arbitrage Trading Bot (GitHub)

Beyond analytics and execution tools, one of the most interesting developments in the ecosystem is the rise of automated arbitrage systems.

One example is this open-source project:

[Polymarket Arbitrage Trading Bot (GitHub)]

DextersSlab / Polymarket-Arbitrage-Trading-Bot

Polymarket Arbitrage Bot | Polymarket Trading Bot | Polymarket Arbitrage Bot | Polymarket Trading Bot | Polymarket Arbitrage Bot | Polymarket Trading Bot | Polymarket Arbitrage Bot | Polymarket Trading Bot | Polymarket Arbitrage Bot | Polymarket Trading Bot | Polymarket Arbitrage Bot | Polymarket Trading Bot | Polymarket Arbitrage Bot | Polymarket

Polymarket Arbitrage Trading Bot (BTC, ETH Momentum Arbitrage trading bot)

You can check this bot pnl with this account.

https://polymarket.com/@9g9g99

BTC-ETH-Momentum-Arbitrage-Bot-9g9g99.mp4

Built with @polymarket/clob-client-v2 and Node.js 20+. See V2_MIGRATION.md for Polymarket exchange upgrade notes.

Features

Dual-market confirmation — BTC and ETH must align before entries (reduces false signals)
Chainlink Data Streams — strike at epoch open + live spot for spot_minus_strike
High-frequency monitor — REST CLOB /book polling (~150ms), merged btc/eth wave logs
Six strategy phases — buy1, buy2, buy3, buy4, risk1, risk2, risk3
Paper trading — simulated fills without live CLOB orders
Optional redeem — gasless redeem via Polymarket builder relayer after epoch end
Deposit wallet…

View on GitHub

This bot is designed to detect and execute arbitrage opportunities across Polymarket markets.

What the Bot Does

The core idea behind arbitrage in prediction markets is simple:

In an efficient binary market:

YES price + NO price ≈ 1.00

When this relationship breaks due to latency, liquidity imbalance, or inefficiencies, temporary arbitrage opportunities can appear.

The bot typically:

Monitors order books in real time
Detects pricing inefficiencies between YES and NO outcomes
Executes trades when spreads become profitable
Attempts to lock in low-risk or near risk-free returns
Includes simulation (paper trading) modes for testing strategies

Common Arbitrage Strategy

A typical approach used in these bots:

Buy the underpriced outcome (YES or NO)
Hedge exposure on the opposite side
Exit when pricing converges to fair value

Some implementations target:

Short-duration markets (e.g., 15-minute events)
High-liquidity binary markets
Rapid price dislocations during news events

Alternative Open-Source Approaches

Other similar bots on GitHub often implement variations such as:

YES/NO parity detection (sum ≠ 1.00)
Multi-market arbitrage scanning
Websocket-based real-time monitoring
CLOB API integration
Risk controls (position limits, stop logic, exposure caps)

These systems are typically experimental and require strong technical understanding of trading infrastructure.

Important Reality Check

While arbitrage sounds attractive, real-world performance is constrained by several factors:

Opportunities are extremely short-lived
Competition is dominated by fast automated systems
Liquidity is often limited
Profit margins are usually small
Execution speed is critical

In practice, arbitrage in prediction markets is less about strategy design and more about infrastructure, latency, and execution reliability.

How These Tools Work Together

A more complete Polymarket workflow often combines multiple tools:

PolySpy → discover new markets early
HashDive → analyze smart money positioning
PolySites → detect unusual wallet behavior
TradeFox → execute trades efficiently
PolyCop → replicate successful traders
Arbitrage Bot → automate inefficiency capture

Final Thoughts

The Polymarket ecosystem has evolved into a layered trading environment where data, speed, and automation all play important roles.

Each tool serves a different function:

Analytics platforms improve research quality
Copy trading simplifies strategy execution
Trading terminals improve speed and usability
Bots introduce automation and algorithmic strategies

However, none of these tools eliminate risk. Prediction markets remain inherently uncertain, and outcomes depend on liquidity, timing, and market behavior rather than tools alone.

Used together, they form a more complete trading stack — but success still depends on disciplined risk management and a clear understanding of market dynamics.

Polymarket Explained: How Prediction Markets Work and How to Get Started

ItsRagnar — Wed, 24 Jun 2026 17:13:56 +0000

Prediction markets are rapidly becoming one of the most fascinating developments in finance, betting, and information discovery.

Platforms like Polymarket allow anyone to trade on future events, from elections and sports outcomes to cryptocurrency prices, economic indicators, and even global news events.

What makes prediction markets unique is that they don't rely on traditional bookmakers setting odds. Instead, participants trade directly against each other, creating a market-driven probability for future events.

With monthly trading volume recently surpassing billions of dollars, prediction markets are quickly becoming one of the most accurate ways to measure public expectations about the future.

In this guide, we'll explore how Polymarket works, how to get started, and how traders can potentially gain an edge.

What Is Polymarket?

Polymarket is a decentralized prediction market platform where users can buy and sell probabilities for future events.

Examples include:

Will Bitcoin rise in the next 5 minutes?
Will a specific political candidate win an election?
Will oil prices increase this month?
Will a major geopolitical event occur?
Will a sports team win a championship?

Instead of betting against a sportsbook, you're trading directly with other market participants.

The market itself determines the odds.

How Prediction Market Pricing Works

Every market has two sides:

YES

You believe the event will happen.

NO

You believe the event will not happen.

Prices range between:

$0.01
$1.00

A market trading at:

$0.20 implies roughly a 20% probability
$0.50 implies roughly a 50% probability
$0.80 implies roughly an 80% probability

As traders buy and sell shares, prices continuously adjust.

For example:

If many traders suddenly buy YES shares, the YES price rises and the NO price falls.

The market constantly updates to reflect collective expectations.

Why Prediction Markets Are Becoming So Popular

One reason prediction markets have exploded in popularity is their ability to aggregate information from thousands of participants.

Unlike opinion polls or expert forecasts, prediction markets require participants to put money behind their beliefs.

This creates strong incentives for accuracy.

As a result, prediction markets are increasingly being referenced by:

Journalists
Financial analysts
Researchers
Political commentators
Institutional investors

Many experts now consider prediction markets among the best forecasting tools available.

Getting Started on Polymarket

Creating an account is straightforward.

Users can sign up using:

Google
Crypto wallets
MetaMask
Other Web3 authentication methods

After creating an account, users can:

Choose a username
Enable trading permissions
Deposit funds
Begin trading immediately

Funding options include:

Cryptocurrency transfers
Exchange transfers
Apple Pay
Google Pay
Debit cards
Credit cards

This significantly lowers the barrier to entry for new users.

Understanding Market Pages

Each market contains several important components.

Price Chart

The chart shows how probabilities have changed over time.

Breaking news can dramatically impact prices within minutes.

For example, a geopolitical announcement could move a market from:

14% probability
To 50% probability

Almost instantly.

Trading Interface

Users can:

Buy YES shares
Buy NO shares
Sell existing positions
Place limit orders

This works similarly to a traditional financial exchange.

Activity Feed

The activity section displays:

Recent trades
Position changes
Market participants

Many traders use this information to study market behavior.

The Power of Limit Orders

One feature many beginners overlook is the ability to place limit orders.

Instead of buying immediately, you can specify the price you are willing to pay.

For example:

Current market price:

$0.48

Desired entry:

$0.45

A limit order waits until the market reaches your target price before executing automatically.

This can help improve entries and reduce slippage.

Why Liquidity Matters

Liquidity is one of the most important concepts in prediction markets.

A highly liquid market has:

Many buyers
Many sellers
Tight spreads

This allows traders to enter and exit positions efficiently.

Markets with little activity can be problematic because:

Large spreads exist
Orders may not fill
Prices can move dramatically after a single trade

Before entering a position, it's always worth checking:

Trading volume
Order book depth
Bid-ask spread

Understanding the Order Book

The order book shows current market demand.

Bids

Prices buyers are willing to pay.

Asks

Prices sellers are willing to accept.

For example:

Buyers at $0.47
Sellers at $0.48

This creates a 1-cent spread.

The deeper the order book, the easier it is to execute larger trades without significantly moving the market.

Always Read the Rules

One of the biggest mistakes new traders make is failing to read market resolution criteria.

Every Polymarket market includes detailed rules describing exactly how the outcome will be determined.

For example:

A market about shipping traffic may require a specific published metric to exceed a defined threshold.

Even if the event appears to have happened in real life, the market only resolves according to its stated rules.

Understanding these rules is essential before risking capital.

Popular Market Categories

Polymarket offers a huge variety of markets.

Politics

Election forecasts, policy decisions, government actions, and geopolitical events.

Sports

Live sports trading and championship predictions.

Cryptocurrency

Short-term and long-term crypto markets.

Economics

Interest rates, inflation, employment data, and financial indicators.

Breaking News

Markets tied to major world events and headlines.

This diversity makes Polymarket attractive to traders with different expertise.

Bitcoin 5-Minute Markets

One of the most active categories on Polymarket is crypto prediction markets.

These markets frequently reset every few minutes and allow traders to speculate on short-term Bitcoin price movements.

For example:

Will Bitcoin close higher in 5 minutes?
Will Bitcoin close lower in 5 minutes?

These fast-moving markets attract both manual traders and algorithmic trading bots.

Using Trading Bots on Polymarket

As prediction markets grow, many traders are exploring automation.

Trading bots can:

Monitor markets continuously
Execute trades instantly
Manage risk automatically
Identify arbitrage opportunities
React faster than human traders

For developers interested in automated trading, this open-source project provides an excellent starting point:

GitHub Repository:

DextersSlab / Polymarket-Arbitrage-Trading-Bot

Polymarket Arbitrage Bot | Polymarket Trading Bot | Polymarket Arbitrage Bot | Polymarket Trading Bot | Polymarket Arbitrage Bot | Polymarket Trading Bot | Polymarket Arbitrage Bot | Polymarket Trading Bot | Polymarket Arbitrage Bot | Polymarket Trading Bot | Polymarket Arbitrage Bot | Polymarket Trading Bot | Polymarket Arbitrage Bot | Polymarket

Polymarket Arbitrage Trading Bot (BTC, ETH Momentum Arbitrage trading bot)

You can check this bot pnl with this account.

https://polymarket.com/@9g9g99

BTC-ETH-Momentum-Arbitrage-Bot-9g9g99.mp4

Built with @polymarket/clob-client-v2 and Node.js 20+. See V2_MIGRATION.md for Polymarket exchange upgrade notes.

Features

Dual-market confirmation — BTC and ETH must align before entries (reduces false signals)
Chainlink Data Streams — strike at epoch open + live spot for spot_minus_strike
High-frequency monitor — REST CLOB /book polling (~150ms), merged btc/eth wave logs
Six strategy phases — buy1, buy2, buy3, buy4, risk1, risk2, risk3
Paper trading — simulated fills without live CLOB orders
Optional redeem — gasless redeem via Polymarket builder relayer after epoch end
Deposit wallet…

View on GitHub

The project demonstrates automated trading strategies for Polymarket's Bitcoin and Ethereum markets and can be customized for more advanced use cases.

Watch the Full Video Tutorial

For a complete walkthrough of Polymarket, including account setup, funding, market analysis, and trading examples, watch the full video:

https://www.youtube.com/watch?v=_HBFIN3nHJ0

Follow me for More Trading Content

If you're interested in:

Prediction markets
Crypto investing
Trading strategies
Passive income ideas
Market analysis

Subscribe to My YouTube channel:

https://www.youtube.com/@ItsRagnar

Final Thoughts

Prediction markets represent a fascinating evolution in forecasting and financial markets.

By allowing thousands of participants to trade probabilities in real time, platforms like Polymarket create a constantly updating estimate of future events.

Whether you're interested in politics, sports, crypto, economics, or world events, prediction markets offer a unique way to express opinions, discover information, and potentially profit from being correct.

As trading volume continues to grow and more institutions begin paying attention, prediction markets may become one of the most important information networks of the next decade.

How I’m Using AFK Auto Trading on Polymarket-Style Bitcoin Prediction Markets

ItsRagnar — Wed, 24 Jun 2026 06:28:43 +0000

The world of prediction markets continues to evolve, and one of the most interesting developments I've seen recently is the rise of automated trading tools designed specifically for short-term Bitcoin prediction markets.

In this article, I'll break down a new AFK Auto Trade feature demonstrated by Ragnar on YouTube, explain how it works, discuss potential strategies, and show how traders can combine automation with open-source tools like the Polymarket Trading BTC/ETH Bot to build more advanced workflows.

What Is AFK Auto Trading?

AFK Auto Trading is designed to automate entries into short-duration prediction markets, specifically Bitcoin markets that settle every 5 or 15 minutes.

Instead of manually watching charts and placing trades, users can configure rules that tell the bot exactly when to enter a position.

The bot continuously monitors the market and executes trades when predefined conditions are met.

For example:

Enter a trade between minutes 13:00 and 14:20 of a 15-minute market
Only buy if the market probability is between 70% and 95%
Require Bitcoin to have moved a minimum amount before triggering
Apply stop-loss protection automatically
Set position sizing and the number of rounds to monitor

This allows traders to run strategies while away from their screens.

Understanding the Late-Stage Strategy

One of the strategies demonstrated in the video focuses on entering near the end of a market.

The reasoning is simple:

As a market approaches expiration, there is more information available about where Bitcoin is likely to finish. This potentially increases confidence in the outcome while still leaving enough time for profitable execution.

Example settings:

Market Type

15-minute Bitcoin market

Entry Window

13:00 – 14:20

Probability Range

Minimum probability: 70%
Maximum probability: 95%

Price Movement Filter

Minimum BTC move: +$75

Position Size

$12 per trade

Stop Loss

Exit if probability falls back to 50%

This approach attempts to balance confidence and reward by entering only when momentum and market odds align.

Trading the Downside

The same framework can be applied to bearish setups.

Instead of buying "UP," traders can configure the bot to buy "DOWN."

Example settings:

Entry Window: 13:00 – 14:20
Probability Range: 70% – 95%
BTC Drawdown Requirement: -$60 to -$400
Direction: DOWN

This enables traders to participate regardless of market direction.

Early Breakout Strategy

Another interesting concept mentioned in the demonstration is the breakout strategy.

Instead of entering near expiration, the trader enters very early in the market.

Example:

Entry between 30 seconds and 2 minutes after market open
Enter when strong momentum appears
Use tight stop losses
Use take-profit targets

This strategy aims to capture fast moves immediately after a new market begins.

However, it carries significantly more risk because there is less information available compared to late-stage entries.

Why Risk Management Matters

No automated strategy guarantees profits.

Even highly optimized systems can experience losing streaks.

Key risk management principles include:

Start Small

Use small position sizes while testing.

Use Stop Losses

Protect capital during unexpected reversals.

Avoid Overleveraging

Never risk money you cannot afford to lose.

Track Results

Maintain a journal of:

Win rate
Average return
Market conditions
Strategy variations

The goal is to identify what works before scaling position sizes.

Taking Automation Further with Open-Source Tools

For traders interested in building more advanced systems, an open-source project worth exploring is:

GitHub Repository:

DextersSlab / Polymarket-Arbitrage-Trading-Bot

Polymarket Arbitrage Bot | Polymarket Trading Bot | Polymarket Arbitrage Bot | Polymarket Trading Bot | Polymarket Arbitrage Bot | Polymarket Trading Bot | Polymarket Arbitrage Bot | Polymarket Trading Bot | Polymarket Arbitrage Bot | Polymarket Trading Bot | Polymarket Arbitrage Bot | Polymarket Trading Bot | Polymarket Arbitrage Bot | Polymarket

Polymarket Arbitrage Trading Bot (BTC, ETH Momentum Arbitrage trading bot)

You can check this bot pnl with this account.

https://polymarket.com/@9g9g99

BTC-ETH-Momentum-Arbitrage-Bot-9g9g99.mp4

Built with @polymarket/clob-client-v2 and Node.js 20+. See V2_MIGRATION.md for Polymarket exchange upgrade notes.

Features

Dual-market confirmation — BTC and ETH must align before entries (reduces false signals)
Chainlink Data Streams — strike at epoch open + live spot for spot_minus_strike
High-frequency monitor — REST CLOB /book polling (~150ms), merged btc/eth wave logs
Six strategy phases — buy1, buy2, buy3, buy4, risk1, risk2, risk3
Paper trading — simulated fills without live CLOB orders
Optional redeem — gasless redeem via Polymarket builder relayer after epoch end
Deposit wallet…

View on GitHub

This bot provides a foundation for creating automated trading workflows around Bitcoin and Ethereum prediction markets.

Potential enhancements include:

Custom entry signals
Technical indicator filters
Volatility detection
Dynamic position sizing
Risk-adjusted execution rules
Performance analytics

Developers can study the codebase and adapt it to their own trading style.

Key Takeaways

The AFK Auto Trade feature lowers the barrier to entry for automated prediction market trading.

Its strengths include:

✅ Rule-based execution

✅ Flexible market timing

✅ Both bullish and bearish setups

✅ Built-in stop-loss support

✅ Hands-off operation

However, automation is not a substitute for strategy.

The edge comes from developing unique rules, testing them extensively, and continuously refining performance.

As more traders use identical settings, profitable opportunities may diminish. The most successful traders will likely be those who adapt, experiment, and create their own variations.

Watch the Full Demonstration

If you'd like to see the AFK Auto Trade feature in action, watch Ragnar's video here:

https://www.youtube.com/watch?v=a9qDyTJhebA

You can also follow Ragnar's channel for more content focused on Polymarket trading strategies, automation tools, and prediction market insights:

https://www.youtube.com/@ItsRagnar

Final Thoughts

Automated trading tools are becoming increasingly powerful within prediction markets. Features like AFK Auto Trade allow traders to participate in opportunities without constantly monitoring charts, while open-source projects provide additional flexibility for those who want deeper customization.

Whether you're experimenting with late-stage probability trades or early breakout setups, the most important factor remains disciplined risk management and continuous testing.

Trade carefully, start small, and focus on building a repeatable process rather than chasing quick profits.

How to Copy Trade Smart Money on Polymarket: The Complete 2026 Guide

ItsRagnar — Mon, 22 Jun 2026 15:18:24 +0000

Polymarket has become one of the hottest platforms in crypto and prediction markets.

Every day, traders are making thousands—and sometimes hundreds of thousands—of dollars by correctly predicting everything from Bitcoin price movements to elections, sports outcomes, geopolitical events, and breaking news.

But what if you don't have the time to spend hours researching markets?

What if you could simply find the smartest traders on Polymarket and automatically copy their trades?

That's exactly what copy trading allows you to do.

In this guide, we'll cover:

What copy trading is
How Polymarket copy trading works
How to find profitable wallets
How to automate trades using Polygen
How AI can help discover winning traders
Open-source trading bots for Polymarket
Tips to improve your results

Why Copy Trading Works

One of the biggest advantages of Polymarket is transparency.

Every trade happens on-chain.

That means you can see:

Which wallets are profitable
Their historical performance
Current positions
Trading activity
Win rates
Portfolio growth

Unlike traditional finance, where hedge funds hide their positions, prediction markets allow anyone to analyze successful traders.

Instead of trying to outperform the market from scratch, many traders simply identify successful wallets and mirror their actions.

What Is Polygen?

Polygen is currently one of the most popular copy trading tools for Polymarket.

It operates through Telegram and allows users to:

Copy profitable traders automatically
Execute trades within seconds
Set custom risk management rules
Manage stop losses and take profits
Automate specific market strategies

One of the biggest reasons for its growing popularity is speed.

Fast execution matters significantly when copying prediction market trades because prices can move rapidly after large orders enter the market.

Why Polygen Became Even More Powerful

Recently, Polygen acquired Polymarket Analytics.

This is a major development because Polymarket Analytics has long been one of the most valuable research tools in the ecosystem.

The platform provides access to:

More than 2.5 million trader profiles
Historical performance data
Wallet analysis
Market statistics
Position tracking
Profit and loss analytics

The combination of copy trading and advanced analytics creates a powerful workflow for discovering and following successful traders.

Setting Up Your Copy Trading Account

Getting started is relatively straightforward.

After creating your account, you'll receive a dedicated Polymarket wallet.

You can either:

Fund the wallet directly
Import an existing wallet

One important security step is exporting your private key and backing it up in a wallet such as MetaMask.

This ensures you maintain access to your funds even if you lose access to Telegram or the trading bot itself.

Understanding Copy Trading Settings

The real power comes from configuring your copy trading strategy correctly.

Most platforms offer several ways to mirror trades.

Fixed Amount

Every copied trade uses the same amount.

Example:

Trader buys $1,000
You buy $10

Simple and beginner-friendly.

Percentage-Based Copying

Your trade size scales proportionally.

Example:

Trader enters $500
You copy at 10%
Your position becomes $50

Portfolio Weighting

This approach adjusts positions relative to account size.

Example:

Trader portfolio = $10,000
Your portfolio = $1,000

If they allocate 10% of their account to a trade, your account automatically allocates 10% as well.

This is often the most balanced approach for long-term copy trading.

Risk Management Matters

One mistake many beginners make is copying everything blindly.

Instead, configure:

Minimum and Maximum Probability

You may only want to copy trades between:

10% probability
90% probability

This avoids situations where traders enter extremely high-confidence positions with limited upside.

Slippage Controls

Large trades can move market prices significantly.

Setting a maximum slippage threshold helps prevent entering trades at substantially worse prices than the original trader.

Position Limits

Cap the maximum amount allocated to any single trade.

This reduces risk and improves diversification.

How to Find Profitable Traders

Finding the right wallets is arguably more important than choosing the right copy trading software.

This is where analytics platforms become extremely valuable.

When researching traders, look for:

Consistent Profitability

Avoid traders who achieved one lucky win.

Look for sustained performance over months.

Active Positions

A trader who hasn't traded recently may no longer be relevant.

Win Rate

Higher win rates can indicate strong decision-making, though they should be analyzed alongside risk management.

Portfolio Growth

Examine the equity curve rather than just total profit.

Consistent growth often signals repeatable strategies.

Why Most People Copy the Wrong Wallets

Many users simply copy the most popular traders.

This creates several problems:

Increased competition
Worse entries
More slippage
Reduced profitability

Instead, consider looking beyond the first page of leaderboards.

There are millions of traders on Polymarket, and many profitable wallets remain relatively undiscovered.

The best opportunities often come from finding skilled traders before everyone else does.

Using AI to Find Winning Wallets

One of the most interesting developments in prediction market trading is the use of AI.

Instead of manually reviewing thousands of traders, AI systems can:

Analyze wallet performance
Filter poor-performing accounts
Detect emerging traders
Monitor changes in profitability
Generate ranked watchlists

This dramatically reduces research time while uncovering opportunities that manual analysis might miss.

As prediction markets continue growing, AI-powered trader discovery may become one of the strongest competitive advantages available.

Going Beyond Copy Trading

While copy trading is powerful, many traders eventually move toward automation.

Polymarket provides APIs and developer tools that allow users to build:

Market-making bots
Arbitrage systems
Signal generators
Portfolio trackers
AI-powered trading agents

If you're interested in exploring automated Polymarket trading, this open-source project is an excellent place to start:

Useful Open-Source Trading Bot

DextersSlab / Polymarket-Arbitrage-Trading-Bot

Polymarket Arbitrage Bot | Polymarket Trading Bot | Polymarket Arbitrage Bot | Polymarket Trading Bot | Polymarket Arbitrage Bot | Polymarket Trading Bot | Polymarket Arbitrage Bot | Polymarket Trading Bot | Polymarket Arbitrage Bot | Polymarket Trading Bot | Polymarket Arbitrage Bot | Polymarket Trading Bot | Polymarket Arbitrage Bot | Polymarket

Polymarket Arbitrage Trading Bot (BTC, ETH Momentum Arbitrage trading bot)

You can check this bot pnl with this account.

https://polymarket.com/@9g9g99

BTC-ETH-Momentum-Arbitrage-Bot-9g9g99.mp4

Built with @polymarket/clob-client-v2 and Node.js 20+. See V2_MIGRATION.md for Polymarket exchange upgrade notes.

Features

Dual-market confirmation — BTC and ETH must align before entries (reduces false signals)
Chainlink Data Streams — strike at epoch open + live spot for spot_minus_strike
High-frequency monitor — REST CLOB /book polling (~150ms), merged btc/eth wave logs
Six strategy phases — buy1, buy2, buy3, buy4, risk1, risk2, risk3
Paper trading — simulated fills without live CLOB orders
Optional redeem — gasless redeem via Polymarket builder relayer after epoch end
Deposit wallet…

View on GitHub

This repository demonstrates how automated systems can trade BTC and ETH prediction markets on Polymarket and serves as a valuable educational resource for developers interested in prediction market automation.

Common Copy Trading Mistakes

Avoid these mistakes if you want better results.

Copying Too Many Traders

More traders doesn't always mean more profits.

Focus on quality rather than quantity.

Ignoring Market Liquidity

Low-liquidity markets can cause severe slippage.

Chasing Recent Winners

Past performance alone does not guarantee future results.

Over-Allocating Capital

Always manage risk and avoid putting too much capital into a single trader.

The Future of Prediction Market Trading

Prediction markets continue to attract:

Retail traders
Quantitative analysts
AI developers
Institutional participants

As trading volume grows, tools like copy trading, analytics platforms, and automated trading bots are becoming increasingly important.

The traders who combine strong research, automation, and disciplined risk management will likely have the biggest advantage moving forward.

Watch the Full Video Guide

For a complete walkthrough of Polymarket copy trading, wallet research, and Polygen setup, watch the full video:

https://www.youtube.com/watch?v=vphw2fFDiRU

Follow for More AI and Trading Content

I regularly publish content covering:

AI agents
Polymarket strategies
Trading automation
Crypto tools
Wallet analytics
Business workflows

Subscribe here:

https://www.youtube.com/@ItsRagnar

Final Thoughts

Copy trading is one of the fastest ways to gain exposure to successful prediction market traders without spending countless hours researching every market yourself.

However, success ultimately comes down to choosing the right traders, managing risk properly, and continuously improving your process.

With analytics platforms, AI-powered research, and automated execution tools becoming more sophisticated every month, prediction market trading is entering an entirely new era.

Those who learn how to leverage these tools effectively may find themselves with a significant edge in one of the fastest-growing sectors in crypto.

How to Build an AI Trading Bot for Polymarket Using Claude Code (Step-by-Step Guide)

ItsRagnar — Sat, 20 Jun 2026 16:45:30 +0000

Prediction markets are becoming one of the most exciting applications of AI and automation. Instead of manually scanning hundreds of markets, traders can now build bots that analyze opportunities, execute trades, and manage positions automatically.

In this guide, I'll show you how to get started building your own AI-powered Polymarket trading bot using Claude Code, the official Polymarket CLI, and an open-source trading bot repository that can help accelerate development.

Why AI Trading Bots Are Perfect for Prediction Markets

Prediction markets like Polymarket create thousands of opportunities across politics, crypto, sports, economics, and world events.

The challenge is that humans can't monitor every market 24/7.

AI agents can:

Scan markets continuously
Identify potential trading opportunities
Execute trades automatically
Follow predefined risk management rules
Remove emotional decision-making

This makes prediction markets an ideal environment for automation.

Getting Started with Polymarket

Before building a bot, you'll need:

A Polymarket account
Funds deposited into your account
A wallet connected to Polymarket
Claude Code or another AI coding assistant
The official Polymarket CLI

The Polymarket CLI allows AI agents and scripts to:

Query active markets
Retrieve market data
Manage positions
Execute trades directly from the terminal

This creates the foundation for fully automated trading systems.

Setting Up the Official Polymarket CLI

The first step is installing the Polymarket CLI.

For Mac and Linux users, Homebrew provides the easiest installation method.

Once installed, you can verify the setup by running:

polymarket

After that, import your wallet:

polymarket wallet import

Important: Never expose your private key to AI chats, screenshots, or public repositories. Only enter sensitive wallet information directly into your terminal.

Once connected, you can view balances, active trades, and market data directly from the command line.

Building a Basic AI Trading Strategy

One of the most powerful aspects of Claude Code is that you can describe strategies in plain English.

For example:

Create a bot that scans markets every 10 minutes and buys outcomes priced between 88¢ and 94¢ that close within 4 hours. Limit trades to six per day and no more than ten active positions.

Claude can generate the entire script, test it, fix errors, and provide a runnable version automatically.

This dramatically reduces the technical barrier to creating trading bots.

Open-Source Trading Bot You Can Study

If you want a more advanced starting point, I recommend checking out this GitHub repository:

Polymarket Trading BTC ETH M Bot

GitHub:

DextersSlab / Polymarket-Arbitrage-Trading-Bot

Polymarket Arbitrage Bot | Polymarket Trading Bot | Polymarket Arbitrage Bot | Polymarket Trading Bot | Polymarket Arbitrage Bot | Polymarket Trading Bot | Polymarket Arbitrage Bot | Polymarket Trading Bot | Polymarket Arbitrage Bot | Polymarket Trading Bot | Polymarket Arbitrage Bot | Polymarket Trading Bot | Polymarket Arbitrage Bot | Polymarket

Polymarket Arbitrage Trading Bot (BTC, ETH Momentum Arbitrage trading bot)

You can check this bot pnl with this account.

https://polymarket.com/@9g9g99

BTC-ETH-Momentum-Arbitrage-Bot-9g9g99.mp4

Built with @polymarket/clob-client-v2 and Node.js 20+. See V2_MIGRATION.md for Polymarket exchange upgrade notes.

Features

Dual-market confirmation — BTC and ETH must align before entries (reduces false signals)
Chainlink Data Streams — strike at epoch open + live spot for spot_minus_strike
High-frequency monitor — REST CLOB /book polling (~150ms), merged btc/eth wave logs
Six strategy phases — buy1, buy2, buy3, buy4, risk1, risk2, risk3
Paper trading — simulated fills without live CLOB orders
Optional redeem — gasless redeem via Polymarket builder relayer after epoch end
Deposit wallet…

View on GitHub

This project demonstrates how automated trading strategies can be applied to Polymarket markets focused on Bitcoin and Ethereum-related events.

Benefits of studying existing open-source bots:

Learn trading bot architecture
Understand market scanning logic
Improve risk management systems
Customize strategies for your own goals
Save development time

Rather than starting from scratch, you can analyze the repository and build on proven concepts.

Risk Management Matters More Than Strategy

Many beginners focus only on finding winning trades.

Professional traders focus on:

Position Sizing

Never risk too much capital on a single market.

Trade Limits

Restrict the number of trades per day to avoid overtrading.

Active Position Limits

Cap total open positions to prevent excessive exposure.

Logging and Analytics

Track every trade so you can evaluate performance over time.

A mediocre strategy with strong risk management often outperforms a great strategy with poor discipline.

AI + Prediction Markets: A Growing Opportunity

We're still early in the evolution of AI-powered trading agents.

As large language models become better at:

Information analysis
News interpretation
Data aggregation
Event forecasting

we'll likely see increasingly sophisticated prediction-market trading systems emerge.

The combination of AI reasoning and prediction markets creates a fascinating environment for experimentation.

Video Tutorial

If you'd like to watch the complete walkthrough that inspired this guide, check out this YouTube video:

https://www.youtube.com/watch?v=SYU59fn2ltQ

The tutorial demonstrates how to install the Polymarket CLI, connect your wallet, and build a basic automated trading bot using Claude Code.

Follow My AI & Automation Content

I regularly share tutorials about:

AI agents
Automation workflows
Trading bots
Claude Code
Open-source AI projects
Business automation

Subscribe to my YouTube channel:

https://www.youtube.com/@ItsRagnar

Final Thoughts

Building AI-powered trading bots for prediction markets is no longer reserved for professional developers.

With tools like Claude Code, the official Polymarket CLI, and open-source projects such as the BTC/ETH Polymarket Trading Bot, anyone can start experimenting with automated trading strategies.

Start simple, prioritize risk management, and gradually improve your system as you learn more about prediction markets and AI automation.

The future of trading is increasingly automated—and prediction markets are one of the most exciting places to explore that future today.

World Cup $500 Trading Challenge Using Prediction Markets (Polymarket Copy Trading Strategy)

ItsRagnar — Fri, 19 Jun 2026 10:04:42 +0000

The World Cup has just started, and I’m running a live trading challenge where I start with $500 and try to grow it as much as possible by trading football-related prediction markets.

The core idea is simple:
I’ll be actively trading on Polymarket, while also copy trading some of the most profitable wallets using a copy trading system called PolyCup.

What I’m Building

For this challenge, I created a brand-new account with $500 and connected it to:

Polymarket trading account
PolyCup copy trading system via Telegram

The goal is to combine:

My own live discretionary trades
Automated copy trading from high-performing wallets

This allows me to compare strategy vs “smart money” in real time.

Why Polymarket + Copy Trading?

I’m using Polymarket because it enables:

Sports prediction markets (football / World Cup outcomes)
Real-time liquidity and pricing
Easy entry/exit on event-based trades

On top of that, I’m using PolyCup (a copy trading tool built around Polymarket wallets) to:

Track profitable traders
Copy trades automatically
Backtest strategies before allocating capital

Strategy Overview

The challenge runs for 4 weeks and includes:

Weekly update videos
Live trade tracking via Telegram
Portfolio updates and performance breakdowns

I’m starting conservatively to avoid overexposure early, then gradually scaling into higher-confidence positions.

Example Trades (Early Positions)

Here are some of the initial trades placed in the account:

1. Mexico vs South Africa

$40 on Mexico to win (~70% implied probability)
Thesis: home advantage + stronger squad depth + crowd support

2. Morocco to Win Group

$30 position
Thesis: strong unbeaten run + undervalued compared to Brazil

3. Ivory Coast to Win Group

$20 position
Thesis: underdog upside + favorable early fixtures

These are structured as medium-risk directional bets with potential for early exits if odds move favorably.

Copy Trading & Backtesting

One of the most powerful features I’m using is wallet backtesting.

Instead of blindly copying traders, I can simulate:

Historical performance
Win rate
Portfolio growth over time
Risk-adjusted returns

This helps identify whether a wallet is genuinely profitable or just lucky short-term.

Useful Trading Bot (GitHub)

For anyone interested in building or experimenting with automation on prediction markets, here is a useful open-source project:

[Polymarket Trading Bot (BTC/ETH/M Bot) GitHub]

DextersSlab / Polymarket-Arbitrage-Trading-Bot

Polymarket Arbitrage Bot | Polymarket Trading Bot | Polymarket Arbitrage Bot | Polymarket Trading Bot | Polymarket Arbitrage Bot | Polymarket Trading Bot | Polymarket Arbitrage Bot | Polymarket Trading Bot | Polymarket Arbitrage Bot | Polymarket Trading Bot | Polymarket Arbitrage Bot | Polymarket Trading Bot | Polymarket Arbitrage Bot | Polymarket

Polymarket Arbitrage Trading Bot (BTC, ETH Momentum Arbitrage trading bot)

You can check this bot pnl with this account.

https://polymarket.com/@9g9g99

BTC-ETH-Momentum-Arbitrage-Bot-9g9g99.mp4

Built with @polymarket/clob-client-v2 and Node.js 20+. See V2_MIGRATION.md for Polymarket exchange upgrade notes.

Features

Dual-market confirmation — BTC and ETH must align before entries (reduces false signals)
Chainlink Data Streams — strike at epoch open + live spot for spot_minus_strike
High-frequency monitor — REST CLOB /book polling (~150ms), merged btc/eth wave logs
Six strategy phases — buy1, buy2, buy3, buy4, risk1, risk2, risk3
Paper trading — simulated fills without live CLOB orders
Optional redeem — gasless redeem via Polymarket builder relayer after epoch end
Deposit wallet…

View on GitHub

This repo includes trading automation logic that can be adapted for:

Market scanning
Trade execution
Strategy testing

YouTube Walkthrough

If you want a deeper explanation of how these systems work in practice, here’s a useful video:

Polymarket Trading Bot Tutorial

It covers setup and strategy ideas for automated prediction market trading.

My Channel (Live Updates)

I’ll be posting weekly updates, including:

Portfolio performance
Winning / losing trades
Strategy changes
Copy trading results

Follow along here:

ItsRagnar YouTube Channel

Final Thoughts

This challenge is an experiment in combining:

Human decision-making
Prediction market inefficiencies
Copy trading intelligence

The goal isn’t just to “bet on football,” but to understand whether structured trading + smart wallet replication can consistently outperform random market participation.

Each week I’ll be publishing results and refining the strategy based on performance.

The Ultimate Guide to Polymarket Trading Bots, Copy Trading, and Analytics Tools in 2026

ItsRagnar — Wed, 17 Jun 2026 14:18:53 +0000

Best Polymarket Trading Bots and Tools for Smarter Prediction Market Trading

Polymarket has become the leading prediction market platform, attracting traders looking to profit from politics, crypto, sports, and global events. As competition increases, many traders are using specialized tools and trading bots to gain an edge.

Inspired by this YouTube video, here's a quick overview of some of the best Polymarket tools available today:

Video: https://www.youtube.com/watch?v=yyP94nyLnzo

1. HashDive

HashDive is an analytics platform that helps traders track:

Whale activity
Smart money wallets
Market volume
Large YES and NO holders
Trader performance

It's useful for finding successful traders and understanding where large amounts of capital are being placed.

2. Polycop

Polycop is one of the most popular copy-trading platforms for Polymarket.

Features include:

Wallet copy trading
Adjustable position sizing
Fast trade execution
Portfolio management

If you find a profitable wallet, Polycop can automatically mirror its trades.

3. TradeFox

TradeFox provides a professional trading terminal for Polymarket.

Benefits include:

Faster order execution
Advanced market filters
Portfolio tracking
Integrated copy trading

It's designed for active traders who want a more efficient interface.

4. PolySites

PolySites focuses on identifying unusual trading activity from newer wallets.

Traders can monitor:

Large positions
Unusual trades
Wallet behavior
Market entries

This can help uncover interesting market signals before they become obvious.

5. PolySpy

PolySpy sends alerts when new Polymarket markets launch.

Since new markets often have lower liquidity and pricing inefficiencies, early notifications can help traders find opportunities before the crowd.

Open-Source Polymarket Trading Bots

For developers and algorithmic traders, several open-source projects are available.

Polymarket Python SDK

https://github.com/Polymarket/py-sdk

Official SDK for building trading bots, collecting market data, and automating strategies.

Polymarket CLI

https://github.com/Polymarket/polymarket-cli

Command-line tools for interacting with Polymarket directly from scripts and servers.

Polymarket Copy Trading Bot

https://github.com/ducksybils/polymarket-copytrading

Remember that no tool guarantees profits. Always manage risk carefully and test strategies before trading with significant capital.

An open-source example of automated wallet copy trading on Polymarket.

BTC & ETH Trading Bot

DextersSlab / Polymarket-Arbitrage-Trading-Bot

Polymarket Arbitrage Bot | Polymarket Trading Bot | Polymarket Arbitrage Bot | Polymarket Trading Bot | Polymarket Arbitrage Bot | Polymarket Trading Bot | Polymarket Arbitrage Bot | Polymarket Trading Bot | Polymarket Arbitrage Bot | Polymarket Trading Bot | Polymarket Arbitrage Bot | Polymarket Trading Bot | Polymarket Arbitrage Bot | Polymarket

Polymarket Arbitrage Trading Bot (BTC, ETH Momentum Arbitrage trading bot)

You can check this bot pnl with this account.

https://polymarket.com/@9g9g99

BTC-ETH-Momentum-Arbitrage-Bot-9g9g99.mp4

Built with @polymarket/clob-client-v2 and Node.js 20+. See V2_MIGRATION.md for Polymarket exchange upgrade notes.

Features

Dual-market confirmation — BTC and ETH must align before entries (reduces false signals)
Chainlink Data Streams — strike at epoch open + live spot for spot_minus_strike
High-frequency monitor — REST CLOB /book polling (~150ms), merged btc/eth wave logs
Six strategy phases — buy1, buy2, buy3, buy4, risk1, risk2, risk3
Paper trading — simulated fills without live CLOB orders
Optional redeem — gasless redeem via Polymarket builder relayer after epoch end
Deposit wallet…

View on GitHub

A trading bot focused on Bitcoin and Ethereum prediction markets, useful for learning how automated Polymarket strategies work.

Final Thoughts

Whether you're tracking whales, copying successful traders, or building your own automated system, these tools can help improve your Polymarket trading workflow. Combining analytics platforms with open-source trading bots gives traders more information, faster execution, and greater flexibility in prediction markets.

Remember that no tool guarantees profits. Always manage risk carefully and test strategies before trading with significant capital.

I Built an AI-Powered Polymarket Wallet Scanner and Copy Trading Workflow

ItsRagnar — Tue, 16 Jun 2026 16:24:53 +0000

I Built an AI-Powered Polymarket Wallet Scanner and Copy Trading Workflow

Prediction markets have become one of the most interesting areas in crypto, and platforms like Polymarket have created a new category of traders who consistently generate profits by identifying market inefficiencies.

One question many traders ask is:

What if instead of trying to outperform everyone, you simply found the best traders and copied them?

In this article, I'll break down an AI-powered workflow that scans hundreds of Polymarket wallets, ranks the most profitable traders, and helps identify potential wallets for copy trading.

This article is inspired by the following YouTube experiment:

YouTube Video: https://www.youtube.com/watch?v=sPhZqKYUFLQ

The Idea

The system automatically analyzes hundreds (or even thousands) of Polymarket wallets every day and ranks them based on:

Historical profitability
Consistency
Trading activity
Risk profile
Market specialization
Win rate
Position sizing behavior

Instead of manually researching thousands of traders, the AI narrows the list down to the top candidates.

The workflow looks like this:

Polymarket Wallets
        ↓
AI Wallet Scanner
        ↓
Wallet Ranking System
        ↓
Top 10 Candidates
        ↓
Manual Review
        ↓
Copy Trading Selection

The key insight is that AI isn't making the trades.

It's filtering data and helping identify traders worth following.

Why Use AI for Wallet Discovery?

The biggest challenge in copy trading isn't execution.

It's finding traders who:

Have a proven track record
Are consistently profitable
Don't rely on a single lucky trade
Manage risk appropriately
Trade markets you understand

Reviewing hundreds of wallets manually can take hours.

AI can do it in minutes.

Daily Wallet Scanning Process

A typical daily workflow might look like:

Step 1: Collect Wallet Data

Gather:

Wallet addresses
Historical positions
Closed trades
Open positions
P&L history
Market categories

Step 2: Apply Filters

Remove wallets that:

Have insufficient trading history
Show extremely high risk
Have low activity
Demonstrate inconsistent performance

Step 3: Score Wallets

Example scoring metrics:

score = (
    profit_score * 0.4 +
    consistency_score * 0.3 +
    activity_score * 0.2 +
    risk_score * 0.1
)

Step 4: Generate Report

The AI produces a ranked list:

Rank	Wallet	Score
1	Wallet A	95
2	Wallet B	92
3	Wallet C	90
...	...	...

Only the highest-ranked wallets are reviewed manually.

Example Trading Categories

One interesting observation is that profitable traders often specialize.

Examples include:

Geopolitics

Traders focused on:

Elections
International conflicts
Government decisions

Sports

Specialists in:

NBA
NFL
Soccer
Tennis

Crypto Markets

Prediction markets related to:

Bitcoin
Ethereum
ETF approvals
Regulatory developments

Rather than following generalists, many successful copy traders focus on specialists.

Risk Management Lessons

One of the biggest takeaways from the experiment was position sizing.

A trader being copied might place:

A $5 trade
A $50 trade
A $5,000 trade

all within the same day.

Blindly mirroring trade size can create problems.

A safer configuration includes:

Fixed Position Sizes

Example:

Wallet A → $7 per trade
Wallet B → $10 per trade
Wallet C → $6 per trade

Maximum Exposure Per Market

Maximum Per Market = $50

This prevents over-allocation to a single prediction market.

Ignore Tiny Trades

Example:

Ignore trades under $5

This reduces noise and unnecessary execution costs.

Results of the Experiment

During the experiment:

Starting balance: ~$490
Mid-experiment peak: ~$610
Final balance after one week: ~$400

At one point the portfolio was up more than $100.

Later, several large sports favorites lost unexpectedly, causing a significant drawdown.

This highlights an important reality:

Even when copying profitable traders, losses are inevitable.

Copy trading is not a guaranteed strategy.

The quality of the wallets matters, but risk management matters even more.

Scaling Beyond 500 Wallets

A more advanced system could scan:

5,000 wallets
50,000 wallets
Entire prediction market ecosystems

Additional metrics could include:

Sharpe ratio
Market specialization score
Drawdown analysis
Trade timing accuracy
Liquidity impact
Correlation between wallets

This is where AI becomes particularly powerful.

Humans can review 20 wallets.

AI can review 20,000.

Open-Source Projects for Inspiration

If you're interested in building your own Polymarket bot, here are several open-source repositories worth exploring.

Polymarket Copy Trading Bot

GitHub:

https://github.com/phoneixtrade/polymarket-copy-trading-bot

Features:

Copy trading automation
Wallet monitoring
Position replication

Polymarket Copytrading

GitHub:

https://github.com/ducksybils/polymarket-copytrading

Features:

Automated trade mirroring
Wallet tracking
Event-driven execution

Polymarket BTC / ETH Trading Bot

GitHub:

DextersSlab / Polymarket-Arbitrage-Trading-Bot

Polymarket Arbitrage Bot | Polymarket Trading Bot | Polymarket Arbitrage Bot | Polymarket Trading Bot | Polymarket Arbitrage Bot | Polymarket Trading Bot | Polymarket Arbitrage Bot | Polymarket Trading Bot | Polymarket Arbitrage Bot | Polymarket Trading Bot | Polymarket Arbitrage Bot | Polymarket Trading Bot | Polymarket Arbitrage Bot | Polymarket

Polymarket Arbitrage Trading Bot (BTC, ETH Momentum Arbitrage trading bot)

You can check this bot pnl with this account.

https://polymarket.com/@9g9g99

BTC-ETH-Momentum-Arbitrage-Bot-9g9g99.mp4

Built with @polymarket/clob-client-v2 and Node.js 20+. See V2_MIGRATION.md for Polymarket exchange upgrade notes.

Features

Dual-market confirmation — BTC and ETH must align before entries (reduces false signals)
Chainlink Data Streams — strike at epoch open + live spot for spot_minus_strike
High-frequency monitor — REST CLOB /book polling (~150ms), merged btc/eth wave logs
Six strategy phases — buy1, buy2, buy3, buy4, risk1, risk2, risk3
Paper trading — simulated fills without live CLOB orders
Optional redeem — gasless redeem via Polymarket builder relayer after epoch end
Deposit wallet…

View on GitHub

Features:

Market-making strategies
BTC/ETH prediction trading
Automated execution

Future Improvements

Some enhancements I'd add:

AI Wallet Classification

Automatically categorize traders into:

Sports experts
Political experts
Crypto experts
Macro experts

Performance Forecasting

Use historical behavior to estimate:

Future risk
Expected profitability
Drawdown probability

Multi-Wallet Portfolio Optimization

Instead of copying individual traders:

Wallet A → 30%
Wallet B → 25%
Wallet C → 20%
Wallet D → 25%

This creates diversification across trading styles.

Final Thoughts

The most interesting takeaway isn't the profit or loss.

It's that AI can dramatically reduce the research required to discover high-quality traders.

Rather than spending hours searching through wallets manually, AI can:

Analyze thousands of traders
Filter out poor performers
Rank the strongest candidates
Present only the best opportunities for human review

In my opinion, this is one of the most practical applications of AI in prediction markets today.

The AI isn't replacing the trader.

It's helping the trader focus on the most valuable information.

Have you built any Polymarket bots or copy trading systems? I'd love to hear about your approach in the comments.

AI #Polymarket #Crypto #PredictionMarkets #TradingBots #MachineLearning #Automation #Python #OpenSource #Web3

Strong liquidity reduces slippage, improves trade execution, and enables larger position sizes without significantly impacting prices.

ItsRagnar — Fri, 12 Jun 2026 16:07:59 +0000

Benjamin-Cup

Jun 10

Building a Liquidity Monitoring Engine for a Polymarket Trading bot: Architecture, Strategy, and Real-Time Market Intelligence

#tutorial #beginners #python #opensource

7 min read

Polymarket trading Ladder strategy bot

ItsRagnar — Wed, 11 Mar 2026 15:37:54 +0000

Building a Polymarket Liquidity Maker Bot in Python (Crypto 5m–1d Markets) - DEV Community

Prediction markets are one of the most interesting financial experiments on the internet. Platforms...

dev.to

Really solid project. Open-source tools like this will help push forward prediction market automation and crypto trading research.

ItsRagnar — Thu, 05 Mar 2026 06:45:33 +0000

Polymarket Trading Bot : Real-Time Arbitrage, Momentum Strategies, and Production Features (Open Source) - DEV Community

Polymarket Trading Bot: Automated Polymarket Trading Strategies for Crypto Prediction...

dev.to