This is the same as my background up/down except it displays a column to show if the stock is above or below the previous day close.
When looking at numerous charts, you can instantly see if they are up or down for the day. For me, I like to be going long on the stocks that are already moving up and short on the ones that are moving down. When using lower time...
OBV that should reset on a daily session break. Looks neat when you scroll out all the way. Good use remains to be found; I believe this could be a useful reference for a more fleshed out idea for 'local zone' OBVs. Maybe comparing previous sessions' daily OBVs to current.
Binque's Multi-Moving Average - One indicator with four simple moving average and four exponential moving averages, plus as a bonus a Day High moving average and a Day Low Moving Average.
Simple Moving Average or MA(14), MA(50), MA(100) and MA(200) all in one indicator
Exponential Moving Average or EMA(8), EMA(14), EMA(20) and EMA(33) all in one indicator
Daily OHL + Weekly OHL + Asian range + intraday kill zones (daily open at 00:00UTC)
Vertical Boxes Color Code:
brownish-red = Asian range time frame
blue = London Open kill zone
green = NY kill zone
purple = London Close kill zone
This daily volume data contains collective total from
BTC-e BTC/USD (From Q3 2011 to Q3 2016)
BTCChina BTC/CNY (From Q3 2011 to Q2 2017)
Coinsetter BTC/USD (From Q3 2014 to Q1 2016)
MtGox BTC/USD (From July 2010 - 2014 only))
OKcoin International BTC/USD (From Q3 2014 to Q2...
This indicator provides the pip value from various key levels I've found important in my trading system.
The results are graphed. I suggest that you choose the 2 most important ones you want to graph otherwise the indicator gets difficult to read.
The important data is the actual numbers but I've found it helpful to understand how a ticker moves in regards to...
After reading Cam Hui's blog post about his "Trifecta" bottom spotting model I thought I'd try my hand at scripting it as an indicator. The results are pretty close to what he describes. Though the data TradingView feeds me doesn't seem to be identical to what he's using on StockCharts.com the results are close enough that I will call the effort a success worth publishing.