📘 Orderflow Variables in Lipi Script

Orderflow analysis provides traders with a deeper understanding of market dynamics by examining who is in control — buyers or sellers — and how aggressively they are acting. Instead of relying solely on price and volume, orderflow reveals the intensity and direction of trading pressure within each candle.

Lipi Script offers a robust set of orderflow. variables that enable you to access and visualize detailed trade-level information, including the number of trades, aggressor direction, volume imbalance, and delta strength. These variables are optimized for use on footprint on the GoCharting platform, where orderflow data is available.

These tools are essential for identifying concepts like absorption, exhaustion, divergence, and imbalance, allowing for highly informed trading decisions.

🔧 Syntax

All orderflow variables follow this structure:

orderflow.<variable_name>

Example:

plot(orderflow.delta)

📋 Available Orderflow Variables

🧪 Basic Usage Examples

📊 Plot Delta

indicator("Delta Plot", overlay=false)
 
barColor = orderflow.delta >= 0 ? color.green : color.red
 
plot(orderflow.delta, color=barColor, title="Delta", style=plotStyle.bar)

📊 Plot Cumulative Volume Delta(CVD)

indicator("Cumulative Volume Delta (9:15 to 15:30)", overlay=false)
 
// Use your delta input
delta = orderflow.delta
 
// Define session time range (Indian stock market hours)
inSession = (hour == 9 and minute >= 15) or (hour > 9 and (hour < 15 or (hour == 15 and minute <= 30)))
 
// Identify the session start
isSessionStart = (hour == 9 and minute == 15)
 
// Persistent cumulative delta
static int cumDelta = na
 
if isSessionStart {
    cumDelta := delta
} else if inSession {
    cumDelta := cumDelta + delta
} else {
    cumDelta := na 
}
plot(cumDelta, color=color.teal, title="Cumulative Orderflow Delta")
// Add zero horizontal line
hline(0, title="Zero Line", color=color.red, style=hlineStyle.dotted)

📊 Plot Buy and Sell Volume

indicator("Buy/Sell Volume", overlay=false)
 
plot(orderflow.buyvolume, color=color.green, title="Buy Volume")
plot(orderflow.sellvolume, color=color.red, title="Sell Volume")

🔍 Visualize Number of Buy and Sell Trades

indicator("Buy/Sell Trades", overlay=false)
 
plot(orderflow.buy, color=color.green, title="Buy Trades")
plot(orderflow.sell, color=color.red, title="Sell Trades")

📈 Advanced Concepts

🟢 Highlight Strong Buy Pressure with Max Delta

indicator("Strong Buy Pressure", overlay=true)
 
strongBuy = orderflow.maxdelta > 10000
bgcolor(strongBuy ? color.new(color.green, 0.2) : na)

🔴 Highlight Strong Sell Pressure with Min Delta

indicator("Strong Sell Pressure", overlay=true)

strongSell = orderflow.mindelta < -100000
bgcolor(strongSell ? color.new(color.red, 0.2) : na)

🔵 Plot COTHigh

orderflow.cothigh tracks cumulative delta from the moment price hits or revisits a high.

indicator("COTHigh Example", overlay=false)
 
plot(orderflow.cothigh, title="COTHigh", color=color.red)

🟠 Plot COTLow

orderflow.cotlow tracks cumulative delta from the moment price hits or revisits a low.

indicator("COTLow Example", overlay=false)
 
plot(orderflow.cotlow, title="COTLow", color=color.green)

🧠 Tips and Best Practices

• Use delta-based metrics (delta, maxdelta, mindelta) to gauge real-time buying or selling pressure beyond what price alone can show.
• Combining orderflow with price action can help detect exhaustion, absorption, or hidden divergences.
• buyvolume and sellvolume provide a more detailed view of aggressor activity compared to traditional volume.
• Sharp increases in trades or buy/sell counts can indicate momentum ignition or event-driven spikes.
• Orderflow imbalances are most meaningful during breakout attempts or near support/resistance zones.
• Large differences between maxdelta and mindelta within the same candle may reflect volatile or trapped conditions.