Volume Flow v3

DepthHouse Volume Flow indicator is used to help determine trend direction strictly based on Negative and Positive volume data. How to Read: - Moving Average crossovers are used to help determine a possible trend…

Pine ScriptTrend following EMA SMA Volume

Author: ChaoZhang
Complexity: Starter · 67 lines
Parameters: 3
Backtest bar: 45m · intraday
Tested on: BTC/USDT · futures

Jump to code View in vault Original on FMZ

DepthHouse Volume Flow indicator is used to help determine trend direction strictly based on Negative and Positive volume data.

How to Read:

Moving Average crossovers are used to help determine a possible trend change or retracement.
The area cloud on the bottom is calculated by the difference of the moving averages. This could be used to help determine the trending volume strength.
Bright colored volume bars are large volume spikes calculated by the x factor in the options.

Other changes:

DepthHouse is going open source with numerous of its indicators. This is only one of many!
Volume is now displayed without being altered for calculations.

backtest

Parameters

Name	Default	What it controls
v_input_1	0	Moving Average Type: Simple \| Exponential \| Double Exponential
v_input_2	14	MA Length
v_input_3	3.1	Factor For Breakout Candle

Source Pine Script

/*backtest
start: 2022-04-22 00:00:00
end: 2022-05-21 23:59:00
period: 45m
basePeriod: 5m
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/

//@version=4
//DepthHouse Trading Indicators
// by oh92
study("Volume Flow v3", shorttitle="Volume Flow [DepthHouse]")

maType =    input(title="Moving Average Type", options=["Simple", "Exponential", "Double Exponential"], defval="Simple")
length =    input(14, title="MA Length")
x      =    input(3.1, title="Factor For Breakout Candle")

//////////////////////////
// oh92 favorite colors //
//////////////////////////
red   = #FF510D      //#ff848a // #FA8072 // #323433 // #ff848a
green = #5AA650      // #8cffe5 // #6DC066 // #80aebd // #8cffe5

// Basic Volume Calcs //
vol  =  volume
bull =  close>open?vol:0 
bear =  open>close?vol:0

// Double EMA Function //
dema(src, len) => (2 * ema(src, len) - ema(ema(src, len), len))

// BEAR Moving Average Calculation
bullma = maType == "Exponential" ?        ema(bull, length) :
         maType == "Double Exponential" ? dema(bull, length) :
         sma(bull, length)

// BEAR Moving Average Calculation //
bearma = maType == "Exponential" ?        ema(bear, length) :
         maType == "Double Exponential" ? dema(bear, length) :
         sma(bear, length)

// ma dif //
vf_dif = bullma-bearma
vf_absolute = vf_dif > 0 ? vf_dif : vf_dif * (-1)

// Volume Spikes //
gsig=crossover(bull, bullma*x)?vol:na
rsig=crossover(bear, bearma*x)?vol:na

// Color Calcs //
vdClr = vf_dif > 0 ? green : red
vClr=close>open?green:red

// Plots //
plot(vol, color=vClr, style=plot.style_columns, transp=80, title="Volume")
plot(bullma*2, color=green, linewidth=1, transp=0, title="Bull MA")
plot(bearma*2, color=red, linewidth=1, transp=0, title="Bear MA")

plot(gsig, style=plot.style_columns, transp=50, color=green, title="Bull Vol Spike")
plot(rsig, style=plot.style_columns, transp=50, color=red, title="Bear Vol Spike")

plot(vf_absolute/2.5, style=plot.style_area, color=vdClr, title="Difference Value")

if gsig
    strategy.entry("Enter Long", strategy.long)
else if rsig
    strategy.entry("Enter Short", strategy.short)

Published by ChaoZhang on the FMZ strategy square · last modified 2022-05-23. Collected in the Quant Trading Vault. Unvalidated research: re-test with your own data and costs before trusting it.

Build this with AgenKit

A spec is not a trading system. Paste this into your coding agent and AgenKit runs a specialist team — architecture, test-first build, risk gates, review — with paper trading on by default.

in Claude Code, Cursor, Codex & 4 more

/agenkit build a production-grade trading bot with a backtest engine, risk controls and paper trading by default from strategies/Volume-Flow-v3.md

npx agenkit install engineering-kit in your project
Paste the command into your agent and approve each phase
Get tests, backtest, risk controls and a paper-trading switch

Get AgenKit How /agenkit works

Understand it first

Before you run this, read the lesson behind the idea and how to backtest it honestly. Specs like this one are the survivors of an unknown number of trials; deflate their results accordingly.

Parameters

Source Pine Script

Build this with AgenKit

Understand it first

Related specs