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Modjoy-Heatmap Liquidity Zones [BigBeluga]

Unlocking Trading Secrets: Modjoy-Heatmap Liquidity Zones by BigBeluga

As a trader, staying ahead of the market requires a deep understanding of technical analysis and the tools that drive it. One such innovative tool is the Modjoy-Heatmap Liquidity Zones, developed by BigBeluga. This cutting-edge technology provides traders with a visual representation of market liquidity, enabling them to make informed decisions and maximize their profits.

What are Modjoy-Heatmap Liquidity Zones?

The Modjoy-Heatmap Liquidity Zones is a revolutionary technical indicator that uses advanced algorithms to identify areas of high liquidity in the market. By analyzing order flow and trade volume, the indicator creates a heatmap that highlights the most liquid regions of the market. This information is crucial for traders, as it allows them to predict market movements and optimize their trading strategies.

How to Use Modjoy-Heatmap Liquidity Zones

To get the most out of the Modjoy-Heatmap Liquidity Zones, traders should follow these steps:

  1. Identify Liquidity Zones: Use the heatmap to pinpoint areas of high liquidity, which are typically marked by green or blue colors.
  2. Analyze Market Trends: Combine the liquidity zones with other technical indicators, such as Moving Averages and Relative Strength Index (RSI), to gain a deeper understanding of market trends.
  3. Optimize Trading Strategies: Adjust your trading strategies to focus on the most liquid regions of the market, increasing your chances of success.

Benefits of Modjoy-Heatmap Liquidity Zones

The Modjoy-Heatmap Liquidity Zones offers numerous benefits to traders, including:

  • Improved Market Insights: Gain a deeper understanding of market dynamics and liquidity.
  • Enhanced Trading Strategies: Optimize your trading strategies to focus on the most liquid regions of the market.
  • Increased Profit Potential: By identifying areas of high liquidity, traders can increase their chances of success and maximize their profits.

Conclusion

The Modjoy-Heatmap Liquidity Zones is a powerful tool for traders, providing a unique insight into market liquidity and order flow. By incorporating this innovative technology into their trading strategies, traders can gain a competitive edge and increase their chances of success. Whether you're a seasoned trader or just starting out, the Modjoy-Heatmap Liquidity Zones is an essential tool for anyone looking to master the art of trading.


Rewritten Article with Focus on Keywords:

Technical Analysis with Modjoy-Heatmap Liquidity Zones: A Game-Changer for Traders

Liquidity is a crucial aspect of technical analysis, and the Modjoy-Heatmap Liquidity Zones is a powerful tool for identifying areas of high market liquidity. Developed by BigBeluga, this innovative technical indicator provides traders with a visual representation of order flow and trade volume, enabling them to make informed decisions and maximize their profits.

Key Features of Modjoy-Heatmap Liquidity Zones

The Modjoy-Heatmap Liquidity Zones offers several key features, including:

  • Liquidity analysis: Identify areas of high liquidity and low liquidity.
  • Order flow analysis: Analyze order flow and trade volume to gain a deeper understanding of market dynamics.
  • Technical indicators: Combine the Modjoy-Heatmap Liquidity Zones with other technical indicators, such as Moving Averages and Relative Strength Index (RSI), to optimize your trading strategies.

Benefits of Using Modjoy-Heatmap Liquidity Zones

The Modjoy-Heatmap Liquidity Zones offers numerous benefits to traders, including:

  • Improved market insights: Gain a deeper understanding of market trends and liquidity.
  • Enhanced trading strategies: Optimize your trading strategies to focus on the most liquid regions of the market.
  • Increased profit potential: By identifying areas of high liquidity, traders can increase their chances of success and maximize their profits.

Conclusion

The Modjoy-Heatmap Liquidity Zones is a powerful tool for technical analysis, providing a unique insight into market liquidity and order flow. By incorporating this innovative technology into their trading strategies, traders can gain a competitive edge and increase their chances of success. Whether you're a seasoned trader or just starting out, the Modjoy-Heatmap Liquidity Zones is an essential tool for anyone looking to master the art of trading.

Keyword density:

  • Liquidity: 12 instances
  • Technical analysis: 5 instances
  • Modjoy-Heatmap Liquidity Zones: 9 instances
  • Order flow: 4 instances
  • Trade volume: 3 instances
  • Trading strategies: 5 instances
  • Market trends: 2 instances
  • Trader: 3 instances

Note: The keyword density is calculated based on the number of instances each keyword appears in the article. The goal is to achieve a keyword density of 1-2% for each target keyword.


Exclusive Source Code: Modjoy-Heatmap Liquidity Zones [BigBeluga]

MODJOY-HEATMAP LIQUIDITY ZONES [BIGBELUGA] SOURCE CODE
// This work is licensed under Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International  

//@version=6
indicator("Modjoy-Heatmap Liquidity Zones [BigBeluga]", overlay = true
            , max_boxes_count = 500
            , calc_bars_count = 4000
            , max_lines_count = 500
            , max_bars_back = 5000
            , max_labels_count = 500)


// Inputs 
// Inputs 
tf = input.timeframe(
     "W",
     "Higher Timeframe",
     tooltip = "Select the higher timeframe used to build volume heatmap ranges.\nEach new HTF candle resets the accumulation range."
)

atrLen = 100

atrMult = input.float(
     0.25,
     "Bin Size Multiplier",
     step = 0.05,
     minval = 0.0001,
     tooltip = "Multiplier applied to ATR to define vertical bin size.\nLower values create more detailed heatmap resolution.\nHigher values create broader liquidity zones."
)

maxBins = input.int(
     40,
     "Max Bins",
     minval = 10,
     maxval = 100,
     tooltip = "Maximum number of price bins inside each HTF range.\nHigher values increase precision but use more resources."
)

liquidityFilter = input.float(
     0,
     "Liquidity Filter %",
     minval = 0,
     maxval = 100,
     tooltip = "Minimum relative volume (percentage of peak bin volume) required to mark a liquidity level.\nHigher values filter weaker zones."
)
liquidityWidth = input.int(
     5,
     "Liquidity Level Width",
     minval = 1,
     maxval = 10,
     tooltip = "Controls the thickness of drawn liquidity levels.\nHigher values make key zones more visually prominent."
)
liquidityExtend = input.int(
     25,
     "Liquidity Level Extend",
     minval = 0,

     tooltip = "Controls how far the levels are extended into the future from last bar."
)
heatColor2 = input.color(
     color.rgb(64, 17, 151, 90),
     "Low Density (0%–25%)",
     tooltip = "Color used for low volume density areas."
)

heatColor1 = input.color(
     color.rgb(27, 183, 255, 90),
     "Mid Density (25%–75%)",
     tooltip = "Color used for medium volume density areas."
)

heatColor3 = input.color(
     color.rgb(255, 235, 59, 50),
     "High Density (75%–100%)",
     tooltip = "Color used for highest liquidity zones."
)
tfChange  = timeframe.change(tf)

var max = 0.
var min = low
var start = 0


type level 
    int start 
    float lvl
    bool isRes
    float vol
    color color1
var Levels = array.new()


atrValue = ta.atr(atrLen)
binSize  = atrValue * atrMult

if not tfChange
    max := math.max(max, high)
    min := math.min(min, low)

range_ = max - min

// Safe bin count (int) + guards
rawBins    = math.min(maxBins, int(math.floor(range_[1] / binSize)))
binSize1   = range_ / rawBins
volumeBins = array.new(rawBins, 0.)


// Historical 
if tfChange
    for i = 0 to rawBins - 1
        ll = min[1] + binSize1[1] * i 
        mid = ll + binSize1[1]/2

        hh = ll + binSize1[1]

        for k = 0 to bar_index - start
            if math.abs(close[k]-mid) <= binSize1[1]
                volumeBins.set(i, volumeBins.get(i) + volume[k])

    for i = 0 to rawBins - 1
        ll = min[1] + binSize1[1] * i 
       
        hh  = ll + binSize1[1]
        vol = volumeBins.get(i) / volumeBins.max()
        
        col = vol <= 0.5 ? color.from_gradient(vol, 0, 0.5, heatColor2, heatColor1)
             : color.from_gradient(vol, 0.5, 1, heatColor1, heatColor3)

        col1 = vol <= 0.5 ? color.from_gradient(vol, 0, 0.5, color.new(heatColor2, 95), color.new(heatColor1, 95))
             : color.from_gradient(vol, 0.5, 1, color.new(heatColor1, 95), color.new(heatColor3, 95))

        box.new(start, hh, bar_index, ll
             , bgcolor = col
             , border_color = col1)

        if vol >= liquidityFilter/100
            mid = math.avg(hh, ll)
            Levels.push(level.new(bar_index, mid, low < mid, vol, col))



for s in Levels 

    if s.isRes
        if high > s.lvl 
            Levels.remove(Levels.indexof(s))
    else 
        if low < s.lvl 
            Levels.remove(Levels.indexof(s))


if not tfChange and barstate.islast

    var boxes = array.new()
    var lines = array.new()
    var labels = array.new