[{"data":1,"prerenderedAt":964},["ShallowReactive",2],{"post:\u002Fblog\u002Fwhat-is-a-footprint-chart-complete-guide":3,"blog-all-posts":896},{"id":4,"title":5,"author":6,"body":7,"category":880,"coverAlt":881,"coverImage":56,"date":882,"dateModified":880,"description":883,"draft":884,"extension":885,"faqs":880,"meta":886,"navigation":887,"ogImage":888,"ogImageAlt":880,"order":880,"path":889,"readTime":890,"section":880,"sectionOrder":880,"seo":891,"seoTitle":892,"stem":893,"tag":894,"__hash__":895},"content\u002Fblog\u002Fwhat-is-a-footprint-chart-complete-guide.md","What Is a Footprint Chart? The Complete Guide for 2026","mrD-Indicators",{"type":8,"value":9,"toc":853},"minimark",[10,36,47,50,65,70,73,80,102,113,117,120,141,160,165,172,200,215,228,232,235,239,246,256,263,269,273,284,287,296,300,307,310,327,336,410,422,431,435,438,442,449,452,474,477,483,493,497,524,528,535,539,546,550,561,568,578,582,585,611,614,618,626,664,667,671,687,698,702,705,743,754,758,772,778,788,794,798,801,833,841,844],[11,12,13,14,18,19,22,23,26,27,30,31,35],"p",{},"A ",[15,16,17],"strong",{},"footprint chart"," shows you what a candlestick chart hides: ",[15,20,21],{},"trade volume at every individual price"," inside each bar, split between ",[15,24,25],{},"aggressive buyers"," and ",[15,28,29],{},"aggressive sellers",". Instead of seeing only open, high, low, and close, you see the ",[32,33,34],"em",{},"microstructure"," of the move — who actually traded, where, and how aggressively.",[11,37,38,39,42,43,46],{},"If you have heard the term \"order flow trading\" and wondered what tool serious futures and crypto traders use to read it, this is the chart. It is also called a ",[15,40,41],{},"cluster chart"," or ",[15,44,45],{},"numbers chart"," depending on the platform, but the underlying data is the same.",[11,48,49],{},"This guide explains what a footprint chart is, the three display modes (Bid×Ask, Delta, Volume), how aggressor classification works under the hood, and how to start reading one with confidence. By the end you will understand the language well enough to read every other footprint article on the internet — and decide whether this view belongs in your own workflow.",[11,51,52,57],{},[53,54],"img",{"alt":55,"src":56},"Footprint chart rendered inline on candlesticks, with bid volume on the left, ask volume on the right, delta-colored cells, imbalance markers, and POC highlighting","\u002Fblog\u002Ffootprint-chart-advanced.png",[32,58,59,60,64],{},"A footprint chart inside ",[61,62,63],"code",{},"kline-orderbook-chart",". Each candle is exploded into rows: ask-initiated volume on the left, bid-initiated on the right, with the POC (point of control) highlighted at the level that traded the most.",[66,67,69],"h2",{"id":68},"what-is-a-candlestick-chart-missing","What is a candlestick chart missing?",[11,71,72],{},"A candlestick tells you four numbers per bar: open, high, low, close — plus a single total volume figure underneath. That is enough to read trend and structure on a higher timeframe, and millions of traders work happily with nothing more.",[11,74,75,76,79],{},"But a candlestick is a ",[32,77,78],{},"summary",". It collapses every trade in the bar's window into one OHLC tuple and one volume bar. You cannot see:",[81,82,83,90,96],"ul",{},[84,85,86,89],"li",{},[15,87,88],{},"Where"," inside the bar the volume actually happened. Was the candle's range traded uniformly, or did 80% of the size hit one tight zone?",[84,91,92,95],{},[15,93,94],{},"Who"," was the aggressor at each price. Did buyers lift offers all the way up, or did they pull back while passive bids absorbed selling?",[84,97,98,101],{},[15,99,100],{},"Whether the close"," was supported by genuine aggression or just a thin drift after the real action ended in the middle of the bar.",[11,103,104,105,108,109,112],{},"Most of the time these questions do not matter. But around key levels — a daily high, VWAP, a previous swing — they matter a lot. A green close at resistance with the bulk of buying happening ",[32,106,107],{},"below"," the level and selling absorbing every push ",[32,110,111],{},"above"," tells a very different story than a green close where buyers aggressed straight through the level. The footprint shows you the difference.",[66,114,116],{"id":115},"how-a-footprint-is-built","How a footprint is built",[11,118,119],{},"Every footprint cell is built from a trade stream. Each trade carries three pieces of information:",[121,122,123,129,135],"ol",{},[84,124,125,128],{},[15,126,127],{},"Price"," — the level at which the trade printed.",[84,130,131,134],{},[15,132,133],{},"Volume"," — the size of the trade.",[84,136,137,140],{},[15,138,139],{},"Aggressor side"," — was the trade initiated by the buyer (lifting the offer) or the seller (hitting the bid)?",[11,142,143,144,147,148,151,152,155,156,159],{},"The engine groups all trades inside one candle into rows by price. Each row is a ",[15,145,146],{},"price bin"," equal to the symbol's ",[15,149,150],{},"tick size"," (or an aggregated step when zoomed out). Inside each row, it splits the volume into two buckets: ",[15,153,154],{},"bid-initiated"," (aggressive sells that hit the bid) and ",[15,157,158],{},"ask-initiated"," (aggressive buys that lifted the offer).",[161,162,164],"h3",{"id":163},"aggressor-classification-the-one-technical-detail-that-matters","Aggressor classification — the one technical detail that matters",[11,166,167,168,171],{},"Every major exchange feeds a flag on each trade telling the consumer which side was aggressive. On Binance, the field is called ",[61,169,170],{},"isBuyerMaker",". The convention is:",[81,173,174,187],{},[84,175,176,179,180,183,184,186],{},[61,177,178],{},"isBuyerMaker = true"," → the buyer was the passive maker, so ",[15,181,182],{},"the seller was the aggressor",". This is an aggressive sell. The engine adds the volume to ",[15,185,158],{}," (the seller hit the bid).",[84,188,189,192,193,196,197,199],{},[61,190,191],{},"isBuyerMaker = false"," → the seller was the passive maker, so ",[15,194,195],{},"the buyer was the aggressor",". This is an aggressive buy. The engine adds the volume to ",[15,198,154],{}," (the buyer lifted the offer).",[11,201,202,203,206,207,210,211,214],{},"If you have ever wondered why \"bid\" and \"ask\" labels on a footprint chart can feel inverted from intuition, that is why. ",[15,204,205],{},"Bid-initiated"," does not mean \"trade at the bid\"; it means \"the trade was initiated by someone who lifted the ",[32,208,209],{},"ask"," and got matched against passive ",[32,212,213],{},"bid"," orders.\" This is the standard convention every professional charting platform uses.",[11,216,217,218,221,222,227],{},"The footprint chart is therefore a chart of ",[15,219,220],{},"aggression",", not of resting orders. The orderbook heatmap shows resting orders; the footprint shows what actually traded against them. The two views complement each other, which is why professional traders run them side-by-side. (We covered the heatmap side in our ",[223,224,226],"a",{"href":225},"\u002Fblog\u002Fhow-to-read-orderbook-heatmap-trading","orderbook heatmap reading guide",".)",[66,229,231],{"id":230},"the-three-display-modes","The three display modes",[11,233,234],{},"Once the trade volume is binned by price and split by aggressor, the engine can paint it three different ways. Every footprint platform offers some flavor of these three; the names vary.",[161,236,238],{"id":237},"_1-bidask-split-footprint","1. Bid×Ask (split footprint)",[11,240,241,242,245],{},"Each price row has a thin ",[15,243,244],{},"middle spine",", with bid-initiated volume spreading to the right and ask-initiated volume spreading to the left. The bar width on each side is proportional to the volume.",[247,248,253],"pre",{"className":249,"code":251,"language":252},[250],"language-text","        ask side          │          bid side\n    ◄─────────────────────┼─────────────────────►\n                      middle\n","text",[61,254,251],{"__ignoreMap":255},"",[11,257,258,259,262],{},"This is the ",[15,260,261],{},"classic"," footprint view, and the one most order-flow educators teach with. You see the full picture: at each price, exactly how much aggressive selling versus aggressive buying happened. POC (the highest-volume row) is highlighted, and color intensity hints at how the row compares to the rest of the candle.",[11,264,265,268],{},[15,266,267],{},"Use it when:"," you want maximum information. The trade-off is screen real estate — at narrow candle widths the chart can become hard to read, so platforms will automatically simplify the drawing when zoomed out.",[161,270,272],{"id":271},"_2-delta-mode","2. Delta mode",[11,274,275,276,279,280,283],{},"Each row collapses to a ",[15,277,278],{},"single horizontal bar"," centered on the spine. The bar's width represents the ",[32,281,282],{},"net"," delta at that level (bid-initiated minus ask-initiated), and the color encodes the sign — green if buyers dominated, red if sellers dominated.",[11,285,286],{},"This view trades detail for clarity. You no longer see the exact buy and sell numbers, only the result of the contest at each price. A big green bar at a row means \"buyers dominated this row by a lot\"; a big red bar means \"sellers dominated this row by a lot.\" Rows where the two sides traded roughly equally collapse to a near-invisible neutral bar.",[11,288,289,291,292,295],{},[15,290,267],{}," you care about ",[32,293,294],{},"who was stronger"," at each level, not the exact split. It is faster to scan than Bid×Ask, especially on small candles.",[161,297,299],{"id":298},"_3-volume-mode-mono-or-delta-tinted","3. Volume mode (Mono or Delta-tinted)",[11,301,302,303,306],{},"Each row shows the ",[15,304,305],{},"total"," volume (bid + ask combined). Width follows total size, regardless of which side traded.",[11,308,309],{},"The engine offers two colorings:",[81,311,312,318],{},[84,313,314,317],{},[15,315,316],{},"Mono"," (default): every bar uses the same neutral hue. Opacity rises with volume — high-volume rows are solid, low-volume rows are translucent. Color carries no directional signal.",[84,319,320,323,324,326],{},[15,321,322],{},"Delta-tinted",": width still follows total volume, but the hue shifts toward green or red based on the ",[32,325,282],{}," delta at that price.",[11,328,329,331,332,335],{},[15,330,267],{}," you want to spot ",[32,333,334],{},"where the market spent the most size"," without being distracted by the buy-vs-sell split. Mono is especially good for finding intra-bar HVNs (high-volume nodes) at a glance.",[337,338,339,355],"table",{},[340,341,342],"thead",{},[343,344,345,349,352],"tr",{},[346,347,348],"th",{},"Mode",[346,350,351],{},"You see",[346,353,354],{},"Color encodes",[356,357,358,372,385,398],"tbody",{},[343,359,360,366,369],{},[361,362,363],"td",{},[15,364,365],{},"Bid×Ask",[361,367,368],{},"Buy vs sell split",[361,370,371],{},"Side (green = buy, red = sell) + intensity",[343,373,374,379,382],{},[361,375,376],{},[15,377,378],{},"Delta",[361,380,381],{},"Net flow per price",[361,383,384],{},"Sign of delta (positive vs negative)",[343,386,387,392,395],{},[361,388,389],{},[15,390,391],{},"Volume — Mono",[361,393,394],{},"Total size per price",[361,396,397],{},"Intensity only (neutral)",[343,399,400,405,407],{},[361,401,402],{},[15,403,404],{},"Volume — Delta-tinted",[361,406,394],{},[361,408,409],{},"Intensity + delta direction",[11,411,412,413,415,416,418,419,421],{},"Most professional traders settle on one preferred mode and stay there. ",[15,414,365],{}," is the most informative once your eye is trained. ",[15,417,378],{}," is the easiest to scan on small charts. ",[15,420,391],{}," is the cleanest visual identity. There is no objectively \"best\" mode; pick the one that matches how you actually scan.",[11,423,424,428],{},[53,425],{"alt":426,"src":427},"Footprint chart settings panel showing display mode toggle, tick aggregation, palette, font size, and volume coloring options","\u002Fblog\u002Ffootprint-chart-settings.png",[32,429,430],{},"Footprint Settings let you switch modes, change palette, tweak tick aggregation, and toggle stacked imbalance detection — all on the live chart.",[66,432,434],{"id":433},"core-concepts-you-will-keep-hearing","Core concepts you will keep hearing",[11,436,437],{},"A few terms appear in every order-flow article. Memorise them once and they stop being noise.",[161,439,441],{"id":440},"poc-point-of-control","POC — Point of Control",[11,443,444,445,448],{},"The price row inside the candle with the ",[15,446,447],{},"highest total volume"," (bid + ask combined). The POC is the level where the most trading happened during that bar. It is visually highlighted in every display mode — usually with a stronger color, a thicker bar, or a small tick mark.",[11,450,451],{},"Traders watch the POC for two reasons:",[81,453,454,464],{},[84,455,456,459,460,463],{},[15,457,458],{},"Within the bar",", the POC's ",[32,461,462],{},"position"," matters. POC near the high of a green bar with supporting delta suggests aggressive buying held value up. POC near the low of a red bar with supporting sell delta suggests sellers held value down.",[84,465,466,469,470,473],{},[15,467,468],{},"Across bars",", POCs from prior bars often act as ",[15,471,472],{},"magnets"," on retest. Price tends to revisit them, especially when they cluster.",[161,475,378],{"id":476},"delta",[11,478,479,482],{},[15,480,481],{},"Delta at a single price"," = bid-initiated volume − ask-initiated volume. Positive means buyers were more aggressive at that price, negative means sellers were.",[11,484,485,488,489,492],{},[15,486,487],{},"Bar delta"," = the sum of all level deltas in the candle. It is the single most-watched footprint number: \"what was the net aggression for this bar?\" Most platforms also offer a ",[15,490,491],{},"delta strip"," under the chart showing per-bar delta as a thin pane, so you can scan delta trend without reading every cell.",[161,494,496],{"id":495},"imbalance","Imbalance",[11,498,499,500,503,504,507,508,511,512,515,516,519,520,227],{},"When one side at a single price level is ",[15,501,502],{},"many times larger"," than the other (e.g. 3× or more), that row is called ",[15,505,506],{},"imbalanced",". A single imbalanced row is unremarkable. But when ",[15,509,510],{},"several adjacent rows"," show the ",[32,513,514],{},"same directional lopsidedness",", that is a ",[15,517,518],{},"stacked imbalance"," — the engine treats it as a tradable event and emits an IMB signal. (We cover stacked imbalances in depth in the dedicated ",[223,521,523],{"href":522},"\u002Fblog\u002Fstacked-imbalances-footprint-chart-guide","stacked imbalances guide",[161,525,527],{"id":526},"tick-aggregation","Tick aggregation",[11,529,530,531,534],{},"By default each row is one tick wide. But on liquid instruments — BTCUSDT at $0.01 tick — that produces hundreds of rows per candle, most of which are noise. The engine lets you set a ",[15,532,533],{},"tick aggregation"," factor (e.g. $5 or $10) that groups N ticks into one display row. This is purely a visual control; it does not change the underlying data, just how it is bucketed for display.",[161,536,538],{"id":537},"side-profile","Side profile",[11,540,541,542,545],{},"Some chart engines render a ",[15,543,544],{},"vertical profile panel"," beside the footprint, showing aggregated bid\u002Fask volume across a window of bars on its own scale. It is essentially \"footprint, but a wider window.\" Useful when you are scrolling history but want a fixed reading of where current volume is concentrating.",[66,547,549],{"id":548},"footprint-requires-a-trade-stream","Footprint requires a trade stream",[11,551,552,553,556,557,560],{},"This is the practical gotcha that catches every first-time footprint user. A standard candle chart only needs ",[15,554,555],{},"klines"," (1m \u002F 5m \u002F 1h OHLC bars). A footprint chart needs the ",[15,558,559],{},"raw trade tape"," — every individual trade with its price, size, and aggressor side.",[11,562,563,564,567],{},"For futures and major crypto pairs this is rarely a problem; exchanges stream the trade tape over WebSocket and any modern charting library can subscribe to it. But for thin instruments, fragmented venues, or historical replay outside a paid data provider's window, you may not have the data needed to build the cells. Some platforms work around this by accepting ",[15,565,566],{},"pre-aggregated footprint clusters"," from the backend instead of raw trades — that is also acceptable, as long as the clusters were built with correct aggressor classification.",[11,569,570,571,573,574,577],{},"If you are building a charting product on top of ",[61,572,63],{},", the library accepts both modes: raw trades streamed over WebSocket ",[32,575,576],{},"or"," pre-aggregated cluster data POSTed in bulk. The display logic is identical either way.",[66,579,581],{"id":580},"when-the-footprint-matters-most","When the footprint matters most",[11,583,584],{},"A footprint is not always informative. In the middle of a thin Asian session with no news and no flow, you can stare at the rows and see nothing actionable. The view earns its keep at specific moments:",[81,586,587,593,599,605],{},[84,588,589,592],{},[15,590,591],{},"At key levels."," Watch the footprint as price tags a previous swing high, the daily VWAP, or a session boundary. Did aggressive buyers push through, or did sellers absorb every lift?",[84,594,595,598],{},[15,596,597],{},"Around news."," A footprint on a CPI release candle tells you whether the move was driven by liquidations or by genuine directional aggression.",[84,600,601,604],{},[15,602,603],{},"At trend turns."," A confirmed reversal almost always shows up in the footprint first — exhaustion delta in the trend direction, then a clear shift on the bar that breaks structure.",[84,606,607,610],{},[15,608,609],{},"For trade management."," Mid-trade, the footprint tells you whether the move is being supported by fresh aggression or running on inertia.",[11,612,613],{},"If you cannot find any of these contexts on your current chart, the footprint will not help you. Order flow is a confirmation tool, not a screen for ideas. Higher-timeframe structure and key levels come first; the footprint sharpens entries and exits inside that structure.",[66,615,617],{"id":616},"how-to-read-a-footprint-the-workflow","How to read a footprint — the workflow",[11,619,620,621,625],{},"Once you understand the building blocks, the read map is straightforward. We expanded this into its own guide — ",[223,622,624],{"href":623},"\u002Fblog\u002Fhow-to-read-footprint-chart-patterns","How to Read a Footprint Chart: 8 Patterns Every Trader Must Know"," — but the short version is:",[121,627,628,634,640,646,652,658],{},[84,629,630,633],{},[15,631,632],{},"Anchor on structure first."," Mark your trend, levels, and volatility on a higher timeframe. The footprint confirms or challenges your idea, it does not generate one.",[84,635,636,639],{},[15,637,638],{},"Scan the POC"," of the current bar relative to open and close. Aligned POC and close suggests genuine commitment; opposing POC and close suggests absorption or fade.",[84,641,642,645],{},[15,643,644],{},"Read delta"," at three levels: per-cell (where did one side dominate?), per-bar (was the net direction supportive?), and across bars (is there persistent one-sided aggression?).",[84,647,648,651],{},[15,649,650],{},"Look for stacked imbalances"," at extremes — multiple adjacent rows of one-sided dominance is the engine's signal that one side committed hard.",[84,653,654,657],{},[15,655,656],{},"Compare to the previous bar."," Did the POC rotate up, down, or stay flat? Did delta confirm continuation or reverse?",[84,659,660,663],{},[15,661,662],{},"Combine with heatmap and CVD"," if you have them. Footprint = what traded; heatmap = what was resting; CVD = the running total.",[11,665,666],{},"Plenty of traders make this their entire methodology. Others use it as a second-layer filter on top of a structural setup. Both work.",[66,668,670],{"id":669},"what-about-candlestick-patterns","What about candlestick patterns?",[11,672,673,674,677,678,681,682,686],{},"You do not throw away candlesticks when you start using footprints. The candle is the ",[32,675,676],{},"frame","; the footprint is the ",[32,679,680],{},"contents inside the frame",". We compare the two head-to-head in ",[223,683,685],{"href":684},"\u002Fblog\u002Ffootprint-chart-vs-candlestick-chart","Footprint Chart vs Candlestick Chart: Why You Need Both",", but the short answer is: structure on candles, micro on footprint.",[11,688,689,690,693,694,697],{},"A pin bar at support means a lot more if the footprint shows the lower wick was absorbed by stacked buying. A bullish engulfing means a lot more if the second candle's delta dwarfed the first. The footprint adds ",[32,691,692],{},"quantitative confirmation"," to ",[32,695,696],{},"qualitative patterns"," — and that combination is where most experienced order-flow traders settle.",[66,699,701],{"id":700},"footprint-and-signal-detection","Footprint and signal detection",[11,703,704],{},"Modern footprint engines do not just paint the cells; they scan them for tradable events. The library behind this site emits six signal types automatically, all derived from per-bar statistics (volume, delta, POC, range, wicks) plus a recent lookback:",[81,706,707,713,719,725,731,737],{},[84,708,709,712],{},[15,710,711],{},"ABS"," — Absorption (heavy aggression near an extreme without follow-through).",[84,714,715,718],{},[15,716,717],{},"IMB"," — Stacked imbalance (consecutive rows of one-sided dominance).",[84,720,721,724],{},[15,722,723],{},"DIV"," — Delta divergence (new price extreme with disagreeing delta).",[84,726,727,730],{},[15,728,729],{},"EXH"," — Exhaustion (high volume + wick pattern signalling effort vs result mismatch).",[84,732,733,736],{},[15,734,735],{},"UA"," — Unfinished auction (one-sided trade at the bar extreme).",[84,738,739,742],{},[15,740,741],{},"HVN"," — High volume node (POC volume well above recent average).",[11,744,745,746,749,750,753],{},"Each tag is a ",[32,747,748],{},"helper",", not a buy\u002Fsell recommendation. We unpack what each one means in the ",[223,751,752],{"href":623},"reading patterns guide",".",[66,755,757],{"id":756},"frequently-asked-questions","Frequently asked questions",[11,759,760,763,764,767,768,771],{},[15,761,762],{},"Is the footprint chart the same as the volume profile?","\nNo. A volume profile aggregates volume by price over a ",[32,765,766],{},"window of bars"," (a session, a range, a custom selection). A footprint shows volume by price ",[32,769,770],{},"inside a single bar",". The two views are complementary — a footprint is the per-bar micro-detail; a volume profile is the multi-bar summary.",[11,773,774,777],{},[15,775,776],{},"Do I need expensive software to use footprints?","\nNot anymore. Professional desktop platforms have historically charged a substantial monthly fee per user for a footprint view, but modern web charting libraries — including the one we ship — render the same view in a browser canvas with no install. The display data only requires the public trade stream, which every major exchange provides for free.",[11,779,780,783,784,787],{},[15,781,782],{},"Will the footprint give me an edge?","\nTools do not give an edge — execution does. The footprint gives you ",[32,785,786],{},"better information","; whether that translates into better trades depends on whether you build a process around it. Traders who replay charts and journal each footprint read get an edge over time; traders who glance at it and click buttons do not.",[11,789,790,793],{},[15,791,792],{},"Crypto vs futures — does it work for both?","\nYes. The aggressor classification works identically on every exchange that publishes trade-side flags (Binance, Bybit, OKX, CME, ICE, all of them). The only difference is liquidity — crypto tends to have higher trade frequency and wider rows on small ticks, while equity index futures tend to have fewer rows on tighter ticks. Tick aggregation handles both.",[66,795,797],{"id":796},"where-to-go-next","Where to go next",[11,799,800],{},"If this was your introduction, the natural next reads are:",[121,802,803,810,818,825],{},[84,804,805,809],{},[15,806,807],{},[223,808,624],{"href":623}," — the tactical companion: every pattern the chart can show and what each one typically means.",[84,811,812,817],{},[15,813,814],{},[223,815,816],{"href":522},"Stacked Imbalances on a Footprint Chart: Setup, Reading, and Trading"," — deep-dive into the single most-watched footprint event.",[84,819,820,824],{},[15,821,822],{},[223,823,685],{"href":684}," — head-to-head comparison with the chart type you already use.",[84,826,827,832],{},[15,828,829],{},[223,830,831],{"href":225},"How to Read an Orderbook Heatmap — 5 Patterns Every Order Flow Trader Must Know"," — the companion view to the footprint, showing resting liquidity instead of executed aggression.",[11,834,835,836,840],{},"If you are a developer evaluating which library to use to embed footprint into a product, our ",[223,837,839],{"href":838},"\u002Fblog\u002Forderbook-heatmap-chart-library-comparison-2026","Orderbook Heatmap Chart Library Comparison"," covers the landscape, with pricing and a build-it-yourself estimate.",[842,843],"hr",{},[11,845,846],{},[32,847,848,849,852],{},"Footprint chart powered by ",[223,850,63],{"href":851},"\u002Fcharting-library",", the same native engine that renders this guide's screenshots. Free for development and personal use; commercial licences from $890\u002Fyr.",{"title":255,"searchDepth":854,"depth":854,"links":855},2,[856,857,861,866,873,874,875,876,877,878,879],{"id":68,"depth":854,"text":69},{"id":115,"depth":854,"text":116,"children":858},[859],{"id":163,"depth":860,"text":164},3,{"id":230,"depth":854,"text":231,"children":862},[863,864,865],{"id":237,"depth":860,"text":238},{"id":271,"depth":860,"text":272},{"id":298,"depth":860,"text":299},{"id":433,"depth":854,"text":434,"children":867},[868,869,870,871,872],{"id":440,"depth":860,"text":441},{"id":476,"depth":860,"text":378},{"id":495,"depth":860,"text":496},{"id":526,"depth":860,"text":527},{"id":537,"depth":860,"text":538},{"id":548,"depth":854,"text":549},{"id":580,"depth":854,"text":581},{"id":616,"depth":854,"text":617},{"id":669,"depth":854,"text":670},{"id":700,"depth":854,"text":701},{"id":756,"depth":854,"text":757},{"id":796,"depth":854,"text":797},null,"Footprint chart with bid volume on left, ask volume on right, delta coloring, and POC highlight","2026-05-08","A footprint chart shows trade volume at every price inside a candle — bid vs ask, delta, and POC. The complete beginner's guide with the three display modes, how aggressor classification works, and how to start reading order flow.",false,"md",{},true,"https:\u002F\u002Fmrd-indicators.com\u002Fmrd-indicators-cover-v2.png","\u002Fblog\u002Fwhat-is-a-footprint-chart-complete-guide","10 min read",{"title":5,"description":883},"What Is a Footprint Chart? Complete Guide for Order Flow Traders | mrD-Indicators","blog\u002Fwhat-is-a-footprint-chart-complete-guide","FOOTPRINT","Y4fmL2q4Ki6rjKAtNs5Gw8vZm23VwPwJoO9eDF8RMYY",[897,906,914,923,931,938,944,951,952,956,960],{"path":898,"title":899,"description":900,"tag":901,"date":902,"readTime":903,"coverImage":904,"coverAlt":905},"\u002Fblog\u002Fhow-to-read-dom-ladder-trading","How to Read the DOM Ladder: An Order-Flow Trading Guide","The DOM ladder (depth of market) shows resting bid\u002Fask size, aggressive buy and sell volume, and per-level delta live. Learn to read walls and absorption.","ORDER FLOW","2026-06-03","13 min read","\u002Fblog\u002Fdom-ladder-hero.png","Real-time DOM ladder with green resting bid bars below price, red resting ask bars above, aggressive buy and sell volume columns and a signed delta column",{"path":907,"title":908,"description":909,"tag":901,"date":910,"readTime":911,"coverImage":912,"coverAlt":913},"\u002Fblog\u002Fliquidation-heatmap-trend-trading-guide","Liquidation Heatmap + RSI: Trading Long-Term Trend Waves","Combine the liquidation heatmap with RSI to ride long-term trend waves: forced-deleveraging mechanics, an RSI regime filter, and a swing framework across 500+ Binance altcoin pairs.","2026-06-02","16 min read","\u002Fblog\u002Fliq\u002Fliquidation-heatmap-cover.png","Liquidation heatmap and RSI on a BTC\u002FUSDT chart in a downtrend, bright clusters marking estimated force-liquidation zones above and below price",{"path":915,"title":916,"description":917,"tag":918,"date":919,"readTime":920,"coverImage":921,"coverAlt":922},"\u002Fblog\u002Frsi-momentum-value-and-structure-guide","RSI as a Momentum Instrument: Value and Structure","What RSI really measures: momentum, not overbought\u002Foversold. RSI momentum value (Cardwell range rules), structure (Baeyens), and why momentum leads price.","RSI","2026-05-31","28 min read","\u002Fblog\u002Frsi\u002Frsi-cover.png","RSI panel showing the momentum line, bull and bear range zones, and a multi-timeframe RSI table — the value and structure dimensions of RSI momentum",{"path":924,"title":925,"description":926,"tag":901,"date":927,"readTime":928,"coverImage":929,"coverAlt":930},"\u002Fblog\u002Ftrading-with-cvd-profile","Trading with CVD Profile: A Practical Guide","How to read a CVD Profile and trade four repeatable setups — trapped traders, distribution top, accumulation bottom, and absorption resolution — with clear entry rules.","2026-05-24","12 min read","\u002Fblog\u002Fcvd-profile-og.png","BTC\u002FUSDT chart with CVD Profile — buy vs sell volume at each price, POC highlight, and delta share for order-flow trading",{"path":932,"title":933,"description":934,"tag":901,"date":935,"readTime":928,"coverImage":936,"coverAlt":937},"\u002Fblog\u002Ftrading-chart-with-depth-heatmap-guide","Trading Chart with Depth Heatmap: Complete Guide [2026]","Learn how a trading chart with depth heatmap visualises real-time orderbook liquidity behind candlesticks. Patterns to read, tools that support it, and a 50-line JavaScript implementation.","2026-05-15","\u002Fblog\u002Ftrading-chart-with-depth-heatmap-hero.png","BTC\u002FUSDT chart with orderbook depth heatmap, footprint, liquidation overlay, and RSI",{"path":225,"title":939,"description":940,"tag":901,"date":941,"readTime":890,"coverImage":942,"coverAlt":943},"How to Read an Orderbook Heatmap for Trading: 5 Patterns That Print Money","Five orderbook heatmap patterns every trader should recognise on sight: resting walls, spoofing flashes, iceberg refresh, liquidity vacuums, and stacked accumulation. With real BTC\u002FUSDT examples.","2026-05-12","\u002Fblog\u002Forderbook-heatmap-patterns.png","Orderbook heatmap on a candlestick chart, with bright bid stripes below and ask stripes above price",{"path":838,"title":945,"description":946,"tag":947,"date":948,"readTime":949,"coverImage":56,"coverAlt":950},"Choosing an Orderbook Heatmap Chart Library: A Practical Buyer's Guide for 2026","A practical buyer's guide for picking a JavaScript orderbook heatmap chart library. The technical requirements that actually matter, the questions to ask, the build-it-yourself cost estimate, and a checklist you can run on any candidate.","CHARTING","2026-05-10","11 min read","Footprint chart with bid\u002Fask volume at every price level, delta coloring, imbalance detection, and POC highlighting",{"path":889,"title":5,"description":883,"tag":894,"date":882,"readTime":890,"coverImage":56,"coverAlt":881},{"path":623,"title":624,"description":953,"tag":894,"date":954,"readTime":903,"coverImage":427,"coverAlt":955},"Learn how to read a footprint chart in practice. Eight order-flow patterns — absorption, stacked imbalance, delta divergence, exhaustion, unfinished auction, HVN, POC rotation, and supportive-vs-fading delta — with examples and trader interpretation.","2026-05-06","Footprint chart with delta-colored cells, POC highlight, and stacked imbalance markers",{"path":522,"title":816,"description":957,"tag":894,"date":958,"readTime":949,"coverImage":56,"coverAlt":959},"Stacked imbalances are the most-watched footprint signal. Learn the diagonal vs horizontal detection methods, how to calibrate ratio and min rows, what bullish and bearish stacks mean, and how traders use them in practice.","2026-05-04","Footprint chart showing stacked imbalance zones with bracket markers and tinted cells",{"path":684,"title":685,"description":961,"tag":894,"date":962,"readTime":890,"coverImage":936,"coverAlt":963},"A head-to-head comparison of footprint and candlestick charts. What each one shows, what each one hides, the data each requires, and how to combine them in one workflow. With concrete examples of when the footprint changes your read.","2026-05-02","Trading chart with candlesticks, depth heatmap, and footprint cells visible inline",1780669143764]