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How to Build a Robinhood Chain Copy Trading Bot

#robinhood #copytrading #python #tutorial

Copy trading on-chain means automatically following the trading activity of selected wallets.

Instead of manually watching transactions, a bot can monitor target wallets, detect swaps, analyze the trade, calculate a position size, and execute a corresponding transaction.

Robinhood copy trading Bot

In this article, we'll look at the architecture of a Robinhood Chain Copy Trading Bot and the key components needed to build one.

Educational project: The examples below are for development and research. Automated trading involves financial risk.

Copy Trading Bot Architecture

The basic workflow is:

Target Wallet
      ↓
Transaction Detection
      ↓
Trade Classification
      ↓
Risk Analysis
      ↓
Position Sizing
      ↓
Execution
      ↓
Position Tracking
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The bot can monitor:

  • Wallet addresses
  • Token swaps
  • DEX interactions
  • Transaction size
  • Entry price
  • Liquidity
  • Token information
  • Position size
  • Exit transactions

The important part is that the bot should not blindly copy every transaction.

Why Robinhood Chain?

Robinhood Chain is an Ethereum-compatible Layer-2 blockchain built using Arbitrum technology.

The mainnet uses:

Chain ID: 4663
Native Token: ETH
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The testnet uses Chain ID 46630.

Because the network is EVM-compatible, developers can use familiar tools such as Solidity, Foundry, Hardhat, ethers.js, viem, and standard RPC infrastructure.

1. Connect to Robinhood Chain

Your application first needs an RPC or WebSocket connection.

A simple Python configuration:

import os

RPC_URL = os.getenv("RPC_URL")
PRIVATE_KEY = os.getenv("PRIVATE_KEY")
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For real-time wallet monitoring, WebSocket-based infrastructure can be useful.

Robinhood Chain
      ↓
RPC / WebSocket
      ↓
Transaction Monitor
      ↓
Target Wallet Filter
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Never hard-code private keys in your source code.

2. Monitor Target Wallets

Start with the wallets you want to follow:

TARGET_WALLETS = {
    "0xWalletA...",
    "0xWalletB...",
    "0xWalletC..."
}
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When a transaction arrives:

if transaction["from"] not in TARGET_WALLETS:
    return
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You can also configure different copy ratios:

{
  "address": "0xWalletA...",
  "enabled": true,
  "copy_ratio": 0.10,
  "max_position": 500
}
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3. Detect and Decode Trades

A wallet may perform many actions:

ETH transfer
Token transfer
Approval
DEX interaction
Liquidity operation
Token swap
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Only some of these should become copy-trading signals.

The bot therefore needs to decode transactions and normalize supported trades:

trade = {
    "wallet": wallet_address,
    "tx_hash": tx_hash,
    "token_in": token_in,
    "token_out": token_out,
    "amount_in": amount_in,
    "amount_out": amount_out,
    "router": router_address,
    "block_number": block_number,
    "timestamp": timestamp
}
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Now the strategy can work with a standard trade object instead of raw blockchain data.

4. Validate Tokens

Token validation is critical.

Use the contract address as the primary identifier instead of relying only on the token symbol.

Robinhood provides official token-contract information and Stock Token APIs that can be used to retrieve asset and contract data.

For example:

TOKEN_REGISTRY = {
    "0xTokenAddress...": {
        "symbol": "AAPL",
        "supported": True
    }
}
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Then:

if token_address not in TOKEN_REGISTRY:
    return False
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This prevents the bot from interacting with unsupported contracts.

5. Analyze the Trade

The target wallet's transaction is a signal—not necessarily an automatic trade.

Before copying it, evaluate:

Current Price
Liquidity
Trade Size
Transaction Age
Token
Wallet History
Slippage
Portfolio Exposure
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A simple price filter could be:

price_change = (current_price - target_price) / target_price

if price_change > MAX_PRICE_DEVIATION:
    return False
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If the market has already moved too far, the bot can skip the trade.

6. Position Sizing

Don't automatically match the target wallet's dollar amount.

For example:

Target Portfolio = $500,000
Target Trade     = $50,000
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The target allocated:

10%
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If your portfolio is $5,000:

$5,000 × 10% = $500
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A simple implementation:

position_size = target_position * COPY_RATIO

position_size = min(
    position_size,
    MAX_POSITION_SIZE
)
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This allows you to control exposure independently from the target wallet.

7. Execute With Slippage Protection

Once the trade passes all filters, the execution engine creates a new transaction using your wallet.

Target Transaction
       ↓
Detection
       ↓
Analysis
       ↓
Risk Check
       ↓
Position Sizing
       ↓
Your Transaction
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A simplified EVM transaction:

const tx = await signer.sendTransaction({
    to: routerAddress,
    data: calldata,
    value: value
});
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Slippage protection should always be applied.

MAX_SLIPPAGE = 0.01
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If the expected execution price is outside the allowed range, reject the trade.

8. Copy Exits Too

A copy bot shouldn't only copy entries.

Suppose the target does:

BUY 100 TOKEN
      ↓
SELL 40 TOKEN
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If your bot owns 10 tokens, it could reduce the position by:

10 × 40% = 4 TOKEN
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This keeps your exposure approximately aligned with the target.

9. Add Real-Time Market Data

Robinhood Chain provides Stock Token APIs and Data Streams that can provide additional market information for applications.

The architecture can become:

              Target Wallet
                   │
                   ▼
            Transaction Data
                   │
                   │
Market Data ───► Strategy
                   │
                   ▼
              Risk Engine
                   │
                   ▼
             Position Size
                   │
                   ▼
               Execution
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This allows the bot to consider both what the wallet is doing and what the market is doing.

10. Complete System

A clean implementation can separate each responsibility:

                    Target Wallets
                         │
                         ▼
                ┌─────────────────┐
                │ Wallet Monitor  │
                └────────┬────────┘
                         ↓
                ┌─────────────────┐
                │ Tx Decoder      │
                └────────┬────────┘
                         ↓
                ┌─────────────────┐
                │ Strategy        │
                └────────┬────────┘
                         ↓
                ┌─────────────────┐
                │ Risk Engine     │
                └────────┬────────┘
                         ↓
                ┌─────────────────┐
                │ Position Sizing │
                └────────┬────────┘
                         ↓
                ┌─────────────────┐
                │ Executor        │
                └────────┬────────┘
                         ↓
                  Robinhood Chain
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The main processing loop can be simple:

def process_transaction(transaction):

    if not is_target_wallet(transaction):
        return

    trade = decode_trade(transaction)

    if not trade:
        return

    if not strategy.is_supported(trade):
        return

    analysis = strategy.analyze(trade)

    if not analysis.should_copy:
        return

    size = strategy.calculate_position_size(
        trade,
        analysis
    )

    if not risk_manager.approve(trade, size):
        return

    executor.execute(trade, size)
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The separation of responsibilities makes the system easier to test and extend.

Latency Matters

The target wallet always acts before your bot.

A simplified timeline:

T0 → Target submits trade
T1 → Bot detects transaction
T2 → Decode
T3 → Strategy analysis
T4 → Risk checks
T5 → Build transaction
T6 → Submit
T7 → Execution
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For this reason, the critical execution path should remain lightweight:

Detect
  ↓
Decode
  ↓
Analyze
  ↓
Risk Check
  ↓
Execute
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Heavy analytics and historical logging shouldn't unnecessarily block execution.

Test Before Mainnet

A safer development process is:

Local Development
       ↓
Unit Tests
       ↓
Robinhood Chain Testnet
       ↓
Small Mainnet Test
       ↓
Production
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Test:

  • Transaction detection
  • Trade decoding
  • Token validation
  • Position sizing
  • Slippage protection
  • Liquidity checks
  • Failed transactions
  • Exit copying
  • RPC failures
  • Emergency shutdown

Start small and verify every part of the execution pipeline before increasing exposure.

Conclusion

Building a Robinhood Chain Copy Trading Bot requires more than monitoring wallet addresses.

A practical system combines:

Wallet Monitoring
        +
Transaction Decoding
        +
Token Validation
        +
Market Data
        +
Risk Management
        +
Position Sizing
        +
Execution
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The key idea is simple:

Don't blindly copy transactions. Analyze them first.

By separating wallet monitoring, strategy logic, risk management, and execution, you can build a cleaner and more flexible foundation for automated on-chain trading.

Resources

GitHub

The complete project and additional Robinhood Chain trading-bot research are available here:

Robinhood Trading Bot System

https://github.com/Benjam1nCup/Robinhood-Trading-Bot-System

The repository is intended primarily for educational and research purposes.

Robinhood Chain Documentation

Contact

If you're interested in Robinhood Chain trading bots, copy-trading systems, or automated on-chain strategies:

Telegram: https://t.me/BenjaminCup

Disclaimer

This article is for educational and research purposes only. Automated trading involves financial risk. The examples demonstrate development concepts and do not guarantee trading performance or profitability.

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