Profit-Taking Backtesting

Simulate the follow-buying behavior of all network addresses to validate strategies through real transaction execution.

Profit-Taking Backtesting is a sophisticated feature provided by 1step that simulates the buying and selling activities of the entire network, helping users validate their trading strategies in a realistic manner. This tool identifies high-performing smart money addresses and assists users in achieving higher profit margins through phased profit-taking, rather than simply mirroring sell-offs. Here’s how it works:

1. Simulated Real Transactions:

   1. Realistic Historical Simulation: This feature accurately replicates historical trading data to make the backtesting results as close to real-world scenarios as possible, enhancing the reliability of the strategy validation.

1. Entry and Exit Points:

   1. Entry Points: Through simulation, the tool mimics the real-time smart money buying operations, allowing users to follow these profitable moves.

   2. Exit Points: It also simulates high-level sell operations, ensuring users can realize gains at optimal times.

2. Risk Warning for Projects:

   1. Comprehensive Risk Assessment: The platform backtests all projects using historical data, issuing risk warnings from multiple dimensions such as "Pi Xiu" tokens (tokens designed to benefit only the project creators) and low liquidity. This process eliminates malicious projects and ensures the reliability of the smart money addresses being tracked.

3. Profit Metrics:

   1. Profit Interval Analysis: The tool assesses smart money addresses across various profit intervals, such as 5x, 10x, 50x, and 100x. It analyzes earning potential, including "Pi Xiu" participation rates, zero-return rates for non-"Pi Xiu" investments, and holding times, offering a comprehensive view of profitability.

4. Advanced Filtering Options:

   1. Customizable Filters: Users can personalize the analysis by setting filters across various metrics to find their ideal smart money addresses, aligning with their trading preferences.

1. Project Detail Analysis:

   1. Detailed Transaction Insights: The feature displays all trading activities of target addresses within the chosen statistical period. It includes simulated buying and selling activities, profitability, highest trading returns, and other detailed metrics for each token. Real historical transaction hashes are provided as price references, enhancing the credibility of backtesting data.