[{"data":1,"prerenderedAt":17},["ShallowReactive",2],{"$fU_uy4cVqKRcTr04kMzExsXW8LMMe2NsStXIj-omqW3Q":3,"$f7NcmWf2jpRQdUfLgdHCJjbU71oCdKyZr7Rro10ddHiw":10},{"title":4,"description":5,"publishedAt":6,"readingTime":7,"tags":8,"content":9},"Full Footprint Launch — Order Flow at Maximum Resolution","We've shipped a complete footprint charting suite on Kiyotaka with 1-second granularity, multiple visualization modes, and integrated session profiles. Here's what's new.","2025-08-09","5 mins",[],"\u003Cblockquote class=\"twitter-tweet\" data-media-max-width=\"1920\">\u003Cp lang=\"en\" dir=\"ltr\">\u003Ca href=\"https://twitter.com/kiyotaka_ai/status/1953868036777136172?ref_src=twsrc%5Etfw\">\u003C/a>\u003C/blockquote> \u003Cscript async src=\"https://platform.twitter.com/widgets.js\" charset=\"utf-8\">\u003C/script>\n\n::div{.alert-info}\nWe've shipped a complete footprint charting suite on Kiyotaka with 1-second granularity, multiple visualization modes, and integrated session profiles. Here's what's new.\n::\n\n## What Are Footprint Charts?\n\n![What Are Footprint Charts?](/public/images/news/footprint.png)\n\nFootprint charts show volume traded at each price level within a candle, split between aggressive buyers and sellers. While candlesticks show you price movement, footprints reveal the actual order flow driving that movement - letting you see absorption, initiative activity, and where real size is trading.\n\n## Three Visualization Modes\n\n::text-image\n**Split Mode** Buy volume on the right, sell volume on the left. Classic footprint view for spotting imbalances and absorption where heavy buying/selling fails to move price.\n![Split Mode](/public/images/news/split-mode.png)\n::\n\n::text-image\n**Delta Mode** Shows net difference between buy and sell volume. Cuts straight to who's in control and reveals divergences between price action and order flow pressure.\n![Delta Mode](/public/images/news/delta-mode.png)\n::\n\n::text-image\n**Total Mode** Stacks all volume regardless of direction. Essentially a micro volume profile for each candle, highlighting acceptance and rejection zones.\n![Total Mode](/public/images/news/total-mode.png)\n::\n\n## POC, VAH, VAL Levels\n\nEvery footprint automatically calculates Point of Control (price with most volume), Value Area High, and Value Area Low (containing 70% of volume). They're statistically significant levels based on actual traded volume that act as magnets and breakout triggers.\n\n## Built-in Session Profiles\n\n![What Are Footprint Charts?](/public/images/news/session-profiles.png)\n\nOne-click session profiles for US, UK, and APAC markets. Compare where volume actually trades across different sessions - that Asian session high might have zero US institutional volume behind it. That London support might get completely ignored by New York traders.\n\nFull customization available for session times, value area percentages, color schemes, and volume filters.\n\n## Footprints + Order Book Heatmaps\n\nThe real edge comes from combining footprints with our order book heatmaps. Heatmaps show where passive liquidity sits in the book. Footprints show what happens when price gets there.\n\nIs that sell wall actually defending? Are those buy orders providing real support or pulling when tested? You're watching the full picture - intention meets execution.\n\n## 1-Second Granularity\n\nThe biggest upgrade: footprints now work down to 1-second candles. Previously, we only supported multi-candle footprints (similar to VPSV), grouping multiple candles into one footprint interval. Now you get tick-by-tick order flow visibility.\n\nThis matters because significant order flow events - iceberg fills, book sweeps, absorption - often happen and resolve in seconds. You're no longer blind to the micro-structure that actually moves price.\n\n## VPSV Note\n\nFor those familiar with VPSV (Volume Profile Session Volume), it's essentially a footprint with multiple candles grouped into the same interval. Our footprints give you that same profile view but with granularity down to individual candles and now even 1-second intervals.",{"previousPost":11,"nextPost":14},{"slug":12,"title":13},"pyth-data-integration","Pyth Data Integration for Real-Time Traditional Market Insights",{"slug":15,"title":16},"kscript-launch","Introducing kScript",1780570385799]