High and lows round vs full numbersLiterally the name, just checks if a high or low is a full number or decimal (i.e 100.5) then shows the percentage of full number highs vs percentage of full number lows.
I couldn't really find anything useful with it but maybe someone else can
在腳本中搜尋"冈山绿雉vs仙台七夕直播"
Range: OHLC vs Previous OHLC - Version 2Version 1 here -
This is essentially the same as version 1 with one update. You have the freedom to independently choose OHLC for current candle and prior candle.
To elaborate further, Version 1 had 1 choice. For example, Close; you could only compare the close of prior candle to the current candle.
Version 2; you can compare close of the current candle to the low of the prior candle.
stock gain% vs index gain %This shows the relative strength or weakness of a stock vs an index on any given candle price movement.
Negative stock candle and relative strength shows accumulation
Positive stock candle and relative weakness shows distribution
accumulation will plot an 'A'
distribution will plot a 'D'
Range: OHLC vs Previous OHLCThis will plot your choice of OHLC (or any of the averaging choices) of the current candle compared to the previous candle.
For example if you choose "high" for the input and set the chart to daily, you'll see the currently daily high vs the previous daily high.
Green candle represent a higher high and the length of the candle represents how much higher.
Red candles represent a lower high than the previous day and the length is by how much lower.
This indicator is pretty straight forward, look for me to build on this with something a little more elaborate in the near future.
200/100 vs 190/80 EMA [jarederaj]Track the 200/100 EMA cross Vs the 180/90 EMA cross. Also, see the dates when these periods start on the chart.
Bitfinex Long vs Short RatiosWas impressed with the 'Longs vs Shorts Ratio' idea from the tweet below so I coded an indicator, enjoy.
twitter.com
Compare - Oscillator vs BTC momentumI've made a simple indicator to compare the momentum of a trading pair against the momentum of BTC to the dollar. I use it to see how a pair is affected by BTC's momentum... I wouldnt use it to trade off alone, but it can be a useful tool alongside other indicators.
The time range can be adjusted, but I wouldnt reccomend setting it to anything over 12M, or under 1W.... as I'm not sure if it would work.
Any feedback is welcome!
This is an idea I had after looking at a wonderful visualisation made by BarclayJames, link below:
www.tradingview.com
비트코인 한국 프리미엄 캔들 차트 (Bithumb vs Bitfinex) by 호재박스 슈퍼스타지표명: 비트코인 한국 프리미엄 캔들 차트 (Bithumb vs Bitfinex)
제작자: 호재박스 슈퍼스타
홈페이지: hozaebox.com
BTCUSD long vs short ratio+rsiJust a script I want to share with friends on a discord
orange/green line : longs vs short ratio (100 = only longs, 0 = only shorts)
purple line : RSI of (longs-shorts)
Bitcoin Exchanges Premium (Incl Int & GBTC) vs GdaxShows the exchange premiums internationally (Hong Kong, Luxembourg, Korea, Japan, China) vs Gdax. Also includes GBTC Trust price (adjusted).
Index Vs Futures v4.0 (dashed edition)Generalized script of
Originally designed for bitcoin, but can be used to compare between futures and index (or any two symbol expressions).
Conventions:
- green background := futures deviates 'way above' index
- red background := futures deviates 'way below' index
VS Score [SpiritualHealer117]An experimental indicator that uses historical prices and readings of technical indicators to give the probability that stock and crypto prices will be in a certain range on the next close. This indicator may be helpful for options traders or for traders who want to see the probability of a move.
It classifies returns into five categories:
Extreme Rise - Over 2 standard deviations above normal returns
Rise - Between 0.5 standard deviations and 2 standard deviations above normal returns
Flat - Falling in the range of +/- 0.5 standard deviations of normal returns
Fall - Between 0.5 standard deviations and 2 standard deviations below normal returns
Extreme Fall - Over 2 standard deviations below normal returns
It is an adaptive probability model, which trains on the previous 1000 data points, and is calculated by creating probability vectors for the current reading of the PPO, MA, volume histogram, and previous return, and combining them into one probability vector.
