bybit-order-bookDownload, process, and backtest ByBit derivatives historical order book data. Use this skill when the user wants to: (1) download historical order book snapshots from ByBit's derivatives history-data page using Selenium automation, (2) process/unzip ob500 JSONL files and filter to depth 50, (3) run any of 10 order-book-based trading strategies (Order Book Imbalance, Breakout, False Breakout, Scalping, Momentum, Reversal, Spoofing Detection, Optimal Execution, Market Making, Latency Arbitrage) against the data, or (4) generate full backtest performance reports with PnL, Sharpe ratio, win rate, max drawdown, and strategy comparison. Triggers on: "bybit order book", "order book backtest", "download bybit data", "ob500", "order book imbalance", "spoofing detection strategy", "market making backtest", "crypto order book", "depth of book backtest", "bybit historical data".
Install via ClawdBot CLI:
clawdbot install davidm413/bybit-order-bookGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://www.bybit.com/derivatives/en/history-data`Audited Apr 17, 2026 · audit v1.0
Generated Mar 21, 2026
A quantitative hedge fund uses this skill to backtest 10 order-book-based strategies on ByBit derivatives data, identifying profitable signals like order book imbalance and spoofing detection. They download historical snapshots, process them to depth 50, and generate performance reports to optimize parameters before live deployment.
A crypto exchange or market-making firm employs this skill to simulate market-making strategies, assessing spread dynamics and execution quality using ByBit's order book data. They process data with downsampling to evaluate PnL and Sharpe ratios, ensuring robust liquidity provision in volatile markets.
Researchers at a university use this skill to study crypto market behavior, downloading and processing ByBit order book data to analyze features like microprice and volume imbalance. They backtest strategies such as latency arbitrage to publish findings on market efficiency and trading patterns.
A regulatory body or compliance team utilizes this skill to detect spoofing activities in crypto derivatives by backtesting the spoofing detection strategy on historical ByBit data. They generate reports to identify manipulative patterns and enhance market surveillance protocols.
A fintech training platform integrates this skill into courses, allowing students to download ByBit data, process it, and backtest strategies like breakout and reversal. They customize parameters to learn practical trading skills and analyze performance metrics in a controlled environment.
Offer a cloud-based service where users upload ByBit data or use integrated downloads to backtest order book strategies via a web interface. Charge subscription fees based on data volume and advanced analytics features, targeting quants and traders.
Provide consulting services to financial institutions, using this skill to develop and optimize proprietary trading strategies based on ByBit order book data. Revenue comes from project-based fees and ongoing performance-based commissions.
Sell processed and enriched ByBit order book datasets (e.g., filtered to depth 50 with derived features) to researchers and firms. Offer add-ons like pre-computed strategy backtest results, generating revenue through one-time purchases or data subscriptions.
💬 Integration Tip
Ensure Chrome/Chromium is installed and undetected-chromedriver is updated to bypass Cloudflare; use downsampling during processing to manage memory and speed up backtests.
Scored Apr 19, 2026
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