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Modjoy-Heatmap Liquidity Zones [BigBeluga]

Modjoy-Heatmap Liquidity Zones [BigBeluga] - Exclusive Trading Insights

Modjoy-Heatmap Liquidity Zones [BigBeluga] - Unlocking Profitable Trading Opportunities

Introduction:

Modjoy-Heatmap Liquidity Zones [BigBeluga] - a game-changing solution designed to optimize trading strategies. In this article, we will delve into the features, benefits, and applications of this cutting-edge tool.

What are Modjoy-Heatmap Liquidity Zones [BigBeluga]?

Modjoy-Heatmap Liquidity Zones [BigBeluga] is a sophisticated trading indicator that utilizes advanced algorithms to identify high-liquidity areas in the market. This innovative tool generates a heatmap that visualizes the distribution of liquidity across different price levels, enabling traders to make informed decisions. By identifying areas of high liquidity, traders can better navigate market volatility and capitalize on profitable trading opportunities.

Key Features of Modjoy-Heatmap Liquidity Zones [BigBeluga]

  • Advanced Algorithm: Proprietary algorithm that analyzes market data to identify high-liquidity areas
  • Heatmap Visualization: Interactive heatmap that displays liquidity distribution across different price levels
  • Customizable Parameters: Adjustable settings to suit individual trading strategies and preferences
  • Real-Time Updates: Continuous updates to reflect changing market conditions

Benefits of Using Modjoy-Heatmap Liquidity Zones [BigBeluga]

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

  • Improved Trading Decisions: Enhanced market insight and analysis for more accurate trading decisions
  • : Identification of high-liquidity areas to maximize trading opportunities
  • Reduced Risk Exposure: Better risk management through informed decisions and optimized trading strategies
  • Enhanced Trading Experience: Interactive and intuitive interface for a seamless trading experience

Applications of Modjoy-Heatmap Liquidity Zones [BigBeluga]

The Modjoy-Heatmap Liquidity Zones [BigBeluga] can be applied to various trading strategies and markets, including:

  • Day Trading: Identify high-liquidity areas to capitalize on intraday trading opportunities
  • Swing Trading: Use the heatmap to identify areas of support and resistance for swing trading strategies
  • Scalping: Utilize the tool to quickly identify and capitalize on small price movements
  • Forex, Stocks, and Futures: Apply the Modjoy-Heatmap Liquidity Zones [BigBeluga] to various markets and asset classes

Conclusion

In conclusion, the Modjoy-Heatmap Liquidity Zones [BigBeluga] is a powerful trading tool that offers traders a competitive edge in the market. With its advanced algorithm, interactive heatmap, and customizable parameters, this exclusive tool is designed to optimize trading strategies and maximize profit potential. Whether you're a seasoned trader or just starting out, the Modjoy-Heatmap Liquidity Zones [BigBeluga] is an invaluable resource to enhance your trading experience and achieve success in the markets.


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