For futures trading, save these three repositories to build your own liquidation map. Use the Hyperliquid Python SDK to read and monitor wallet positions, then sort BTC long and short positions by size and estimated liquidation price. This lets you see where large positions cluster above and below the current price. Next, use the Trading Terminal to turn your observation logic into a strategy and run backtests and simulations with Freqtrade. What’s useful here is adding another reference point during monitoring: when price approaches a certain level, you can see how many positions nearby are at risk of forced liquidation. But don’t assume a downward move is inevitable just because there are more longs below. Large players may add margin or reduce positions, changing liquidation prices. First, continuously record data, then compare it with actual liquidations to understand what insights this map truly provides. Place the three repositories in the comments.