MagicTradeBot & Exchange Rate Limit Compliance

MagicTradeBot is designed to support 24/7 automated trading across hundreds of cryptocurrency pairs. However, most centralized exchanges (CEXs) impose strict API rate limits, and exceeding them may result in temporary suspensions, IP blocks, or degraded performance.

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⚠️ The Rate Limit Challenge

Each exchange enforces specific request-per-second limits. Continuously scanning hundreds of trading pairs in real time across multiple exchanges can easily violate these thresholds.

To avoid triggering API bans or performance issues, MagicTradeBot implements advanced rate limit controls to comply with exchange restrictions automatically.

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🛠️ MagicTradeBot's Rate Limit Management

• ⏱️ Uses rate-limited API scheduling that adjusts request speed dynamically
• 📊 Monitors response headers (e.g., X-RateLimit-Remaining) to detect when limits are near
• 🧠 Automatically introduces delays when the API usage nears thresholds
• 🔁 Divides large crypto pair lists into smaller chunks for staggered scanning
• 🕐 Utilizes the refreshRate setting (e.g., every 5 seconds) to scan one chunk at a time

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✅ Recommended Deployment Strategy

To ensure optimal performance and API compliance, follow these practices:

1️⃣ Split Symbols Across Multiple Accounts

• Create separate exchange accounts or sub-accounts (e.g., Binance Main, Bybit Sub1, Bitget Spot, OKX Futures)
• Assign different groups of trading pairs to each account
• This reduces request concentration on a single API key

2️⃣ Run Multiple Bot Instances

• Launch separate MagicTradeBot instances for each exchange/account
• Example: bot-binance-main, bot-bybit-sub1, bot-okx-spot
• Each bot will handle only a limited number of pairs — improving reliability and response time

3️⃣ Use Refresh Rate Smartly

• Set the refreshRate in config.yaml appropriately (e.g., 5 seconds)
• Avoid very low intervals if you’re monitoring hundreds of pairs from a single instance

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📦 Example Setup: 500 Crypto Pairs

Suppose you want to scan and trade across 500 crypto pairs. You could split the load like this:

This modular approach allows each bot to handle fewer requests, stay within rate limits, and reduce latency.

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🧩 Fault Tolerance

By splitting your strategy across multiple accounts and instances:

• 🛑 If one bot instance fails (due to an exchange outage or internal error), others will continue operating independently
• ⚙️ It becomes easier to scale or isolate specific performance bottlenecks
• 📉 Minimizes the risk of being locked out of an entire exchange API due to overuse