All-Time High with Percentage Drops for ETF's and Large CapsPlots the percentage drop levels from the All-Time High of any ticker. You can use this within a pullback trading system. For example, if you historically look at the average pullback of large cap stocks and ETF's, you can use this indicator to plot the levels it could pullback to for an entry to go long. It can be used as potential targets when trading a ticker short. Another use for this is to backtest the set percentage targets using TradingView's bar replay feature to see how ETF's and large cap stocks have reacted at these levels.
Currently percentage levels are statically set to 1, 2, 3, 5, 7, 10, & 20% levels below the All-Time High.
*Not financial advice but in my opinion the current percentage levels set (see above) are best used for ETF's and Large Cap Stocks.
Pesquisar nos scripts por "文华财经tick价格"
MY:Aggregated Volume BTC:DERIVATIVES█ MY Aggregated Volume BTC DERIVATIVES
This indicator shows a panel to display the Bitcoin Trading Volume of different exchanges. A lot of traders follow the default volume indicator provided by tradingview. This default indicator shows the volume for the current ticker (example BTCUSD:BITSTAMP), but each exchange has its own volume.
In a matter of visibility and accessibility, I've decided to aggregate the volume of almost all the Bitcoin exchanges (tickers) in tradingview.
This indicator helps identifying decreasing volume, where the volume comes from (spot or derivatives). A decreasing DERIVATIVES volume isn't a good sign as it shows a decrease in the buying pressure.
The panel has 1 main configuration : Display mode, showing Aggregated (all exchanges in one bar) or Difference (Stacked bar)
The other configuration Legend Item Gap and Legend X Gap is for when the difference mode is selected. It affects the position of the legend. Some might have smaller screens, bigger screens, viewport zoomed in etc.
Due to the number of exchanges, and pinescript limitations, I had to split the volume in 2 indicators, the SPOT volume, and the DERIVATIVES volume. The script in this page is specific to the DERIVATIVES volume. For the SPOT, please refer to my other available script.
Exchange list :
// OKEX:BTCUSDPERP
// OKEX:BTCUSDTPERP
// FTX:BTCPERP
// BTSE:BTCPFC
// KRAKEN:XBTUSDPERP
// BITMEX:XBTUSD
// HUOBI:BTCPERP
// DERIBIT:BTCPERP
// BINANCE:BTCPERP
// BINANCE:BTCUSDTPERP
// PHEMEX:BTCUSD
// BITGET:BTCUSDPERP
// BITGET:BTCUSDTPERP
MY:Aggregated Volume BTC:SPOT█ MY Aggregated Volume BTC SPOT
This indicator shows a panel to display the Bitcoin Trading Volume of different exchanges. A lot of traders follow the default volume indicator provided by tradingview. This default indicator shows the volume for the current ticker (example BTCUSD:BITSTAMP), but each exchange has its own volume.
In a matter of visibility and accessibility, I've decided to aggregate the volume of almost all the Bitcoin exchanges (tickers) in tradingview. Some have been commented out (Kucoin, FTX) due to high volume data which was hiding the other ones.
This indicator helps identifying decreasing volume, where the volume comes from (spot or derivatives). A decreasing SPOT volume isn't a good sign as it shows a decrease in the buying pressure.
The panel has 1 main configuration : Display mode, showing Aggregated (all exchanges in one bar) or Difference (Stacked bar)
The other configuration Legend Item Gap and Legend X Gap is for when the difference mode is selected. It affects the position of the legend. Some might have smaller screens, bigger screens, viewport zoomed in etc.
Due to the number of exchanges, and pinescript limitations, I had to split the volume in 2 indicators, the SPOT volume, and the DERIVATIVES volume. The script in this page is specific to the SPOT volume. For the DERIVATIVES, please refer to my other available script.
Exchange list :
// BINANCE:BTCUSD
// BINANCE:BTCUSDT
// BINANCE:BTCEUR
// COINBASE:BTCUSD
// COINBASE:BTCUSDT
// COINBASE:BTCEUR
// KRAKEN:XBTUSD
// KRAKEN:XBTUSDT
// KRAKEN:XBTEUR
// BITFINEX:BTCUSD
// BITFINEX:BTCEUR
// HUOBI:BTCUSDT
// HUOBI:BTCUSDC
// OKEX:BTCUSDT
// FTX:BTCUSD DISABLED FOR NOW, TO MUCH VOLUME
// FTX:BTCUSDT DISABLED FOR NOW, TO MUCH VOLUME
// KUCOIN:BTCUSDT DISABLED FOR NOW, TO MUCH VOLUME
// KUCOIN:BTCUSDC DISABLED FOR NOW, TO MUCH VOLUME
// GEMINI:BTCUSD
// GEMINI:BTCEUR
// PHEMEX:BTCUSDT
// BITTREX:BTCUSD
// BITTREX:BTCUSDT
// BITTREX:BTCEUR
Rainbow Strategy BacktestingRainbow Strategy Backtesting base on "Rainbow Moving Average" Strategy as below:
1.Rainbow Moving Average setup
- Source: source of 1st MA
- Type: SMA/EMA
- Period: period of 1st MA
- Displacement: period of 2nd MA to 7th MA with source is previous MA
2.Trend Define
- Up Trend: Main MA moving at the top of Rainbow
- Down Trend: Main MA moving at the bottom of Rainbow
- Sideway: Main MA moving between the top and the bottom of Rainbow
3.Signal
- Buy Signal: When Rainbow change to Up Trend.
- Sell Signal: When Rainbow change to Down Trend.
- Exit: When Rainbow change to Sideway.
4.RSI Filter
- "Enable": Only signals have 1st RSI moving between Overbought and Oversold and 2nd RSI moving outside Middle Channel are accepted.
- The filter may help trader avoid bull trap, bear trap and choppy market.
5.Backtesting Infomation
- Ticker: BTCUSDT
- Timeframe: H1
- Rainbow parameter:
+ Source: hlc3
+ Type: SMA
+ Period: 12
+ Displacement: 3
- RSI Filter parameter:
+ Enable
+ 1st RSI filter: period 12, overbought 65, oversold 35
+ 2nd RSI filter: period 9, upper middle 56, lower middle 44
VT R Cloudsettings for the VT R Indicator
VT R TIme (Minues) = 10
Session Time = 09:25 - 09:35
Show VT R Ticked
Show VWMA Ticked
VWMA Period = 10
Long Trade Rules
1. Close ABove buy above
2. trade above ma
3. volume > ma (volume Settings Given Below)
4. sl below sell below
Short Trade Rules
1. close below sell below
2. trade below ma
3. volume > ma (volume Settings Given Below)
4. sl above buy above
Volume Indicator has to be added manually i suggest to use the default Volume Indicator
Settings for the Volume Indicator
Lookback = 10
ShowMA Ticked
LengthMA = 10
Random Synthetic Asset GenerationThis script generates pseudo-random asset data . Due to the nature of the random generator, it is impossible to use this indicator as input for other indicators because the instance of the script that the indicator is applied to will automatically be different from the instance that is plotted on the chart. Therefore, the idea is to use this script in other scripts (to make it possible to backtest on random data, for example).
The script has four main input parameters.
Random Number Generator Method: It supports two methods for generating the pseudo-random numbers (one by Ricardo Santos and one by Wichmann-Hill).
Seed: You can specify the seed to use. Each unique seed will generate a unique set of pseudo-random data.
Intrabar Volatility: This basically sets how volatile the generated wicks will be (0 = no wicks).
Price Multiplier: This is just a multiplier for the generated price data, so that you can scale up or down the generated price data.
You can also change the colors of the bars.
In addition to this, the indicator also generates random volume. In order to make it possible to show both volume and price, you need to have two identical instances of the indicator. One on the chart, and one in its own panel. Then, go into the Style tab in the indicator settings on the instance in the panel. Untick Up-Candles and Down-Candles boxes, and tick the Volume box.
In a similar manner, you can also plot the true range data and the candle change data as well, by ticking one of those boxes instead.
String Manipulation Framework [PineCoders FAQ]█ OVERVIEW
This script provides string manipulation functions to help Pine coders.
█ FUNCTIONS PROVIDED
f_strLeft(_str, _n)
Function returning the leftmost `_n` characters in `_str`.
f_strRight(_str, _n)
Function returning the rightmost `_n` characters in `_str`.
f_strMid(_str, _from, _to)
Function returning the substring of `_str` from character position `_from` to `_to` inclusively.
f_strLeftOf(_str, _of)
Function returning the sub-string of `_str` to the left of the `_of` separating character.
f_strRightOf(_str, _of)
Function returning the sub-string of `_str` to the right of the `_of` separating character.
f_strCharPos(_str, _chr)
Function returning the position of the first occurrence of `_chr` in `_str`, where the first character position is 0. Returns -1 if the character is not found.
f_strReplace(_src, _pos, _str)
Function that replaces a character at position `_pos` in the `_src` string with the `_str` character or string.
f_tickFormat()
Function returning a format string usable with `tostring()` to round a value to the symbol's tick precision.
f_tostringPad(_val, _fmt)
Function returning a string representation of a numeric `_val` using a special `_fmt` string allowing all strings to be of the same width, to help align columns of values.
`f_tostringPad()`
Using the functions should be straightforward, but `f_tostringPad()` requires more explanations. Its purpose is to help coders produce columns of fixed-width string representations of numbers which can be used to produce columns of numbers that vertically align neatly in labels, something that comes in handy when, for example, you need to center columns, yet still produce numbers of various lengths that nonetheless align.
While the formatting string used with this function resembles the one used in tostring() , it has a few additional characteristics:
• The question mark (" ? ") is used to indicate that padding is needed.
• If negative numbers must be handled by the function, the first character of the formatting string must be a minus sign ("-"),
otherwise the unary minus sign of negative numbers will be stripped out.
• You will produce more predictable results by using "0" rather than "#" in the formatting string.
You can experiment with `f_tostringPad()` formatting strings by changing the one used in the script's inputs and see the results on the chart.
These are some valid examples of formatting strings that can be used with `f_tostringPad()`:
"???0": forces strings to be four units wide, in all-positive "int" format.
"-???0": forces strings to be four units wide, plus room for a unary minus sign in the first position, in "int" format.
"???0.0": forces strings to be four units wide to the left of the point, all-positive, with a decimal point and then a mantissa rounded to a single digit.
"-???0.0?": same as above, but adds a unary minus sign for negative values, and adds a space after the single-digit mantissa.
"?????????0.0": forces the left part of the float to occupy the space of 10 digits, with a decimal point and then a mantissa rounded to a single digit.
█ CHART
The information displayed by this indicator uses the values in the script's Inputs, so you can use them to play around.
The chart shows the following information:
• Column 0 : The numeric input values in a centered column, converted to strings using tostring() without a formatting argument.
• Column 1 : Shows the values formatted using `f_tostringPad()` with the formatting string from the inputs.
• Column 2 : Shows the values formatted using `f_tostringPad()` but with only the part of the formatting string left of the decimal point, if it contains one.
• Column 3 : Shows the values formatted using `f_tostringPad()` but with the part of the formatting string left of the decimal point,
to which is added the right part of the `f_tostringPad()` formatting string, to obtain the precision in ticks of the symbol the chart is on.
• Column 4 : Shows the result of using the other string manipulation functions in the script on the source string supplied in the inputs.
It also demonstrates how to split up a label in two distinct parts so that you can vertically align columns when the leftmost part contains strings with varying lengths.
You will see in our code how we construct this column in two steps.
█ LIMITATIONS
The Pine runtime is optimized for number crunching. Too many string manipulations will take a toll on the performance of your scripts, as can readily be seen with the running time of this script. To minimize the impact of using string manipulation functions in your scripts, consider limiting their calculation to the first or last bar of the dataset when possible. This can be achieved by using the var keyword when declaring variables containing the result of your string manipulations, or by enclosing blocks of code in if blocks using barstate.isfirst or barstate.islast .
█ NOTES
To understand the challenges we face when trying to align strings vertically, it is useful to know that:
• As is the case in many other places in the TadingView UI and other docs, the Pine runtime uses the MS Trebuchet font to display label text.
• Trebuchet uses proportionally-spaced letters (a "W" takes more horizontal space than an "I"), but fixed-space digits (a "1" takes the same horizontal space as a "3").
Digits all use a figure space width, and it is this property that allows us to align numbers vertically.
The fact that letters are proportionally spaced is the reason why we can't vertically align columns using a "legend" + ":" `+ value structure when the "legend" part varies in width.
• The unary minus sign is the width of a punctuation space . We use this property to pad the beginning of numbers
when you use a "-" as the first character of the `f_tostringPad()` formatting string.
Our script was written using the PineCoders Coding Conventions for Pine .
The description was formatted using the techniques explained in the How We Write and Format Script Descriptions PineCoders publication.
█ THANKS
Thanks to LonesomeTheBlue for the `f_strReplace()` function.
Look first. Then leap.
Joseph Nemeth Heiken Ashi Renko MTF StrategyFor Educational Purposes. Results can differ on different markets and can fail at any time. Profit is not guaranteed. This only works in a few markets and in certain situations. Changing the settings can give better or worse results for other markets.
Nemeth is a forex trader that came up with a multi-time frame heiken ashi based strategy that he showed to an older audience crowd on a speaking event video. He seems to boast about his strategy having high success results and makes an astonishing claim that looking at heiken ashi bars instead of regular candlestick bar charts can show the direction of the trend better and simpler than many other slower non-price based indicators. He says pretty much every indicator is about the same and the most important indicator is price itself. He is pessimistic about the markets and seems to think it is rigged and there is a sort of cabal that created rules to favor themselves, such as the inability of traders to hedge in one broker account, and that to win you have to take advantage of the statistics involved in the game. He believes fundamentals, chart patterns such as cup and handle and head and shoulders, and fibonacci numbers don't matter, only price matters. The foundation of his trading strategy is based around heiken ashi bars because they show a statistical pattern that can supposedly be taken advantage of by them repeating around seventy or so percent of the time, and then combines this idea with others based on the lower time frames involved.
The first step he uses is to identify the trend direction in the higher time frame(daily or 4 hourly) using the color of the heiken ashi bar itself. If it is green then take only long position after the bar completes, if it is red then take only short position. Next, on a lower time frame(1 hour or 30 minutes) look for the slope of the 20 exponential moving average to be sloping upward if going long or the slope of the ema to be sloping downward if going short(the price being above the moving average can work too if it's too hard to visualize the slope). Then look for the last heiken ashi bar, similarly to the first step, if it is green take long position, if it is red take short position. Finally the entry indicator itself will decide the entry on the lowest time frame. Nemeth recommends using MACD or CCI or possibly combine the two indicators on a 5 min or 15 min or so time frame if one does not have access to renko or range bars. If renko bars are available, then he recommends a 5 or 10 tick bar for the size(although I'm not sure if it's really possible to remove the time frame from renko bars or if 5 or 10 ticks is universal enough for everything). The idea is that renko bars paint a bar when there is price movement and it's important to have movement in the market, plus it's a simple indicator to use visually. The exit strategy is when the renko or the lowest time frame indicator used gives off an exit signal or if the above conditions of the higher time frames are not being met(he was a bit vague on this). Enter trades with only one-fifth of your capital because the other fifths will be used in case the trades go against you by applying a hedging technique he calls "zero zone recovery". He is somewhat vague about the full workings(perhaps because he uses his own software to automate his strategy) but the idea is that the second fifth will be used to hedge a trade that isn't going well after following the above, and the other fifths will be used to enter on another entry condition or if the other hedges fail also. Supposedly this helps the trader always come out with a profit in a sort of bushido-like trading tactic of never accepting defeat. Some critics argue that this is simply a ploy by software automation to boost their trade wins or to sell their product. The other argument against this strategy is that trading while the heiken ashi bar has not completed yet can jack up the backtest results, but when it comes to trading in real time, the strategy can end up repainting, so who knows if Nemeth isn't involving repainting or not, however he does mention the trades are upon completion of the bar(it came from an audience member's question). Lastly, the 3 time frames in ascending or descending fashion seem to be spaced out by about factors of 4 if you want to trade other time frames other than 5/15min,30min/1hour, or 4hour/daily(he mentioned the higher time frame should be atleast a dozen times higher than the lower time frame).
Personally I have not had luck getting the seventy+ percent accuracy that he talks about, whether in forex or other things. I made the default on renko bars to an ATR size 1 setting because it looks like the most universal option if the traditional mode box size is too hard to guess, and I made it so that you can switch between ATR and Traditional mode just in case. I don't think the strategy repaints because I think TV set a default on the multi-time frame aspects of their code to not re-paint, but I could be wrong so you might want to watch out for that. The zero zone recovery technique is included in the code but I commented it out and/or remove it because TV does not let you apply hedging properly, as far as I know. If you do use a proper hedging strategy with this, you'll find a very interesting bushido type of trading style involved with the Japanese bars that can boost profits and win rates of around possibly atleast seventy percent on every trade but unfortunately I was not able to test this part out properly because of the limitation on hedging here, and who knows if the hedging part isn't just a plot to sell his product. If his strategy does involve the repainting feature of the heiken ashi bars then it's possible he might have been preaching fools-gold but it's hard to say because he did mention it is upon completion of the bars. If you find out if this strategy works or doesn't work or find out a good setting that I somehow didn't catch, please feel free to let me know, will gladly appreciate it. We are all here to make some money!
PIPT | Power Index Pool Token | DeFi indexPowerPool provides a DeFi index that has too many components to be used as a chart ticker.
So here is an indicator to bypass the ticker limit.
From the PowerPool docs : app.powerpool.finance
The chart shows it in comparison to other DeFi indexes, quite a difference as you can see!
DPI | DeFi Pulse IndexTokenSets and DeFi Pulse provide a DeFi index that has too many components to be used as a chart ticker.
So here is an indicator to bypass the ticker limit.
From the TokenSets docs : www.tokensets.com
The chart shows it in comparison to other DeFi indexes, quite a difference as you can see!
sDEFI IndexThe Synthetix Exchange provides a DeFi index that has too many components to be used as a chart ticker.
So here is an indicator to bypass the ticker limit.
From the Synthetics docs : docs.synthetix.io
DeFi Index (sDEFI)
Contract: 0xe1aFe1Fd76Fd88f78cBf599ea1846231B8bA3B6B
Token | Initial Weight
---------------------------
Aave | 15%
Synthetix Network Token | 15%
yearn.finance | 15%
Uniswap | 10%
Compound | 7.50%
Maker | 7.50%
Balancer | 5%
Curve DAO Token | 5%
Kyber Network | 5%
Ren | 5%
UMA | 5%
Wrapped Nexus Mutual | 5%
The chart shows it in comparison to FTX's DeFi index, quite a difference as you can see!
CC - Consolidated Interval Display (CID)Ever wish you didn't have to rapidly flip between 6 different intervals to get the full picture?
Yeah, me too. Do you also wish that you kind of understood how the shift / unshift function works for arrays?
Yeah, I did too. Both of those birds are taken care of with one stone!
The Consolidated Interval Display uses the new Array structure and security to display data for 5m, 15m, 45m, 1h, 4h and 1d intervals SIMUTANEOUSLY! Regardless of which interval you're looking at you can get the full picture of numerical data without flipping around to get it.
This is my first script trying to use arrays. It basically shows the following for the given ticker:
ATR14, RSI7, RSI14, SMA50, SMA200 and VWAP at the 5 minute level.
ATR14, RSI7, RSI14, SMA50, SMA200 and VWAP at the 15 minute level.
ATR14, RSI7, RSI14, SMA50, SMA200 and VWAP at the 45 minute level.
ATR14, RSI7, RSI14, SMA50, SMA200 and VWAP at the 1 hour level.
ATR14, RSI7, RSI14, SMA50, SMA200 and VWAP at the 4 hour level.
ATR14, RSI7, RSI14, SMA50, SMA200 and VWAP at the 1 day level.
To make it more or less busy, I've allowed you to toggle off any of the levels you wish. I've also chosen to leave this as open source, as it's nothing too experimental, and I hope that it can gain some traction as an Array example that the public can use! If you don't like the different values that are shown, use this source code example as a spring-board to put values that you do care about onto the labels.
If this code has helped you at all please drop me a like or some constructive criticism if you do not think it's worth a like.
Good luck and happy trading friends.
If this gets traction, I will post something similar for a combination of SPY, VIX, GOLD, QQQ, IWM and TLT.
Margin Zones 5 (MZE5)Extended version of MZE script.
This indicator can be set up for 5 different tickers, so you can fill up your favourite tikers as fixed and switch between them without changing settings options of Tick Count, Margin and POC
Using option "Show default Zones if not Matched" - you can set up default options,
switching off "Show default Zones if not Matched" - will hide indicator for not matched tikers
By default option is Off
RUS:
Расширенная версия индикатора MZE, которая позволяет сделать настройки одновременно для 5 разных тикеров, соответственно переключаясь между отслеживаемыми тикерами не нужно каждый раз менять настройки. Достаточно один раз настроить базовые настройки к любимым тикерам и только корректировать значение Маржи и Обеспечения.
Используя Опцию "Show default Zones if not Matched" ("Показывать, когда нет совпадения") - индикатор будет отображаться для всех тикеров с настройками по умолчанию.
И наоборот (по умолчанию): при снятой галочке - индикатор будет отображаться только на тех тикерах, к которым привязан, и не будет мешать на остальных
Bitcoin Logarithmic Curves OscillatorThis a companion indicator for the Bitcoin Logarithmic Growth Curves indicator.
This is an oscillator version of the above. When the indicator is at / near 1 then Bitcoin price is at / near the upper range of its long-term logarithmic growth trend. When at / near 0 then price is at / near the lower range of that trend.
This indicator only works with the BLX Brave New Coin Index (ticker:BLX) and only on 1 day, 3 day, or 1 week timeframes.
ANN MACD : 25 IN 1 SCRIPTIn this script, I tried to fit deep learning series to 1 command system up to the maximum point.
After selecting the ticker, select the instrument from the menu and the system will automatically turn on the appropriate ann system.
Listed instruments with alternative tickers and error rates:
WTI : West Texas Intermediate (WTICOUSD , USOIL , CL1! ) Average error : 0.007593
BRENT : Brent Crude Oil (BCOUSD , UKOIL , BB1! ) Average error : 0.006591
GOLD : XAUUSD , GOLD , GC1! Average error : 0.012767
SP500 : S&P 500 Index (SPX500USD , SP1!) Average error : 0.011650
EURUSD : Eurodollar (EURUSD , 6E1! , FCEU1!) Average error : 0.005500
ETHUSD : Ethereum (ETHUSD , ETHUSDT ) Average error : 0.009378
BTCUSD : Bitcoin (BTCUSD , BTCUSDT , XBTUSD , BTC1!) Average error : 0.01050
GBPUSD : British Pound (GBPUSD,6B1! , GBP1!) Average error : 0.009999
USDJPY : US Dollar / Japanese Yen (USDJPY , FCUY1!) Average error : 0.009198
USDCHF : US Dollar / Swiss Franc (USDCHF , FCUF1! ) Average error : 0.009999
USDCAD : Us Dollar / Canadian Dollar (USDCAD) Average error : 0.012162
SOYBNUSD : Soybean (SOYBNUSD , ZS1!) Average error : 0.010000
CORNUSD : Corn (ZC1! ) Average error : 0.007574
NATGASUSD : Natural Gas (NATGASUSD , NG1!) Average error : 0.010000
SUGARUSD : Sugar (SUGARUSD , SB1! ) Average error : 0.011081
WHEATUSD : Wheat (WHEATUSD , ZW1!) Average error : 0.009980
XPTUSD : Platinum (XPTUSD , PL1! ) Average error : 0.009964
XU030 : Borsa Istanbul 30 Futures ( XU030 , XU030D1! ) Average error : 0.010727
VIX : S & P 500 Volatility Index (VX1! , VIX ) Average error : 0.009999
YM : E - Mini Dow Futures (YM1! ) Average error : 0.010819
ES : S&P 500 E-Mini Futures (ES1! ) Average error : 0.010709
GAZP : Gazprom Futures (GAZP , GZ1! ) Average error : 0.008442
SSE : Shangai Stock Exchange Composite (Index ) ( 000001 ) Average error : 0.011287
XRPUSD : Ripple (XRPUSD , XRPUSDT ) Average error : 0.009803
Note 1 : Australian Dollar (AUDUSD , AUD1! , FCAU1! ) : Instrument has been removed because it has an average error rate of over 0.13.
The average error rate is 0.1850.
I didn't delete it from the menu just because there was so much request,
You can use.
Note 2 : Friends have too many requests, it took me a week in total and 1 other script that I'll share in 2 days.
Reaching these error rates is a very difficult task, and when I keep at a low learning rate, they are trained for a very long time.
If I don't see the error rate at an average low, I increase the layers and go back into a longer process.
It takes me 45 minutes per instrument to command artificial neural networks, so I'll release one more open source, and then we'll be laying 70-80 percent of the world trade volume with artificial neural networks.
Note 3 :
I would like to thank wroclai for helping me with this script.
This script is subject to MIT License on behalf of both of us.
You can review my original idea scripts from my Github page.
You can use it free but if you are going to modify it, just quote this script .
I hope it will help everyone, after 1-2 days I will share another ann script that I think is of the same importance as this, stay tuned.
Regards , Noldo .
Premium/Discount (Input)Used to show Contango or Backwardation in futures contracts vs spot price. You can input your own tickers so can technically can be used to compare anything.
* In this example I'm showing Okex Quarterly contract vs Okex spot index price because it showcases it better.
* If you are using this after 2019 the default setting will not work because I set it to Bitmex which does not currently have a "current contract in front" ticker available.
It should be fairly self explanatory, but just ask below if you have any questions.
ck - Crypto Correlation IndicatorA simple Correlation Indicator initially configured for Crypto Trader use (but other markets can use this too).
It plots the correlation between the current chart (say BTCUSD ) versus 4 user-definable indices, currency pairs, stocks etc.
By default, the indicator is preconfigured for:
GOLD (Oz/$),
Dow Jones Index (DJI),
Standard & Poor 500 Index (SPX) ,
Dollar Index ( DXY )
You can set the period (currently 1D resolution) in the "Period" box in the settings, valid inputs are:
minutes (number), days (1D, 2D, 3D etc), weeks (1W, 2W etc), months (1M, 2M etc)
Length is the lagging period/smoothing applied - default is 14
When changing comparison instruments/tickers, you may find it useful to prefix the exchange with the instrument's ticker, for example:
Binance:BTCUSDT, NYSE:GOOG etc
*** Idea originally from the brilliant Backtest Rookies - backtest-rookies.com ***
WOW no repainting and no security() call! 100% real results!If you couldn't tell by the title, this is a joke lmao.
TV has an awful backtesting engine and I just wanted to prove this with a super simple script.
We buy when close > open
and sell when close < open.
That's it.
There is also some risk management and trade closing when we reach a certain drawdown, but wait!
TradingView doesn't know what equity drawdown is because they don't use tick data or any lower timeframe data! Wowow!
Ps - all tickdata for Forex & CFD historical data is free from Dukascopy if you want to perform your own backtesting ;)
Dukascopy Data
Enjoy
-DasanC
Put/Call Ratio De-TrendedExperimenting with de-trending the various Put/Call Ratios.
Use with tickers PCCE, PCC, PCE, PCOEX, etc. Type "PUT" in the ticker field to see the many options. Use daily charts. Then you can hide the put call ratio and overlay SPX to see the signals. The default MAs are a common way to detrend. Basically takes the 10 day moving average and 127 day moving average(half year in trading days), to "de-trend" the ratio to weed out the noise that is seen in the ratio.
If you can find anything useful or interesting with this, let me know. I think it is useful as is, but if you find an interesting way to use it let me know.
BFXLS - BitFinex Long/Shorts
Small improvement upon the above script - all credit should really go to pigloo
Auto-detects ticker and automatically loads the long/shorts for it - so works on more than just BTC
Note - only works on BitFinex and only works for tickers which have long and short data available!
Green area = Longs
Red area = Shorts
Lighter area = Longs - Shorts
EVWMA Acc/Dist. Pressure & FRACTAL BANDS by @XeL_ArjonaEVWMA ACCUMULATION/DISTRIBUTION PRESSURE & FRACTAL BANDS
Version: 3.0 @ 4.11.2015
By Ricardo M Arjona @XeL_Arjona
DISCLAIMER:
The following indicator IS NOT INTENDED TO BE A FORMAL INVESTMENT ADVICE OR TRADING RECOMMENDATION BY THE AUTHOR, nor should be construed as such. Users will be fully responsible by their use regarding any kind of trading vehicles or assets.
The following script and ideas within this work are FREELY AND PUBLICLY availables on the Web for NON LUCRATIVE ACTIVITIES and must remain as is.
-== IMPORTANT: THIS IS AN EXPERIMENTAL INDICATOR ==-
What is this?
This work is a derivation of my previous Accumulation/Distribution scripts publicly available in TradingView in an effort to clean, speedup and make the indicator cleaner as possible.
The current indicator is based on already tested and Mathematically proof concepts as described below:
The MAIN Rolling back median line or "Vortex" is constructed by a simple and equal weighting of distributed volume along the candle range (This approach is just an "estimator" of Buyers Vs. Sellers given the lack of tick resolution in TradingView, a real "DELTA" can only be 100% reliable with Market Depth (Ask/Bid ticks)), Given this, with each "volume weights", the price is post-processed against a true statistical Average calculation formerly: ELASTIC VOLUME WEIGHTED MOVING AVERAGE.
The FRACTAL BANDS are just Standard Deviation's with GOLDEN RATIO as multiplier (1.618) derived one from each other within it's origin on the former "Vortex Median".
The Standard Error Bands comply as the original indicator described by Jon Andersen but given the true statistical nature of EVWMA, the original LinReg line has been substituted by the former.
ALL NEW IDEAS OR MODIFICATIONS to this indicator are welcome in favor to deploy a better technical tool. Any important addition to this work MUST REMAIN PUBLIC by means of CreativeCommons CC & TradingView user rules. (C) 2015 @XeL_Arjona
Cumulative Returns by Session [BackQuant]Cumulative Returns by Session
What this is
This tool breaks the trading day into three user-defined sessions and tracks how much each session contributes to return, volatility, and volume. It then aggregates results over a rolling window so you can see which session has been pulling its weight, how streaky each session has been, and how sessions relate to one another through a compact correlation heatmap.
We’ve also given the functionality for the user to use a simplified table, just by switching off all settings they are not interested in.
How it works
1) Session segmentation
You define APAC, EU, and US sessions with explicit hours and time zones. The script detects when each session starts and ends on every intraday bar and records its open, intraday high and low, close, and summed volume.
2) Per-session math
At each session end the script computes:
Return — either Percent: (Close−Open)÷Open×100(Close − Open) ÷ Open × 100(Close−Open)÷Open×100 or Points: (Close−Open)(Close − Open)(Close−Open), based on your selection.
Volatility — either Range: (High−Low)÷Open×100(High − Low) ÷ Open × 100(High−Low)÷Open×100 or ATR scaled by price: ATR÷Open×100ATR ÷ Open × 100ATR÷Open×100.
Volume — total volume transacted during that session.
3) Storage and lookback
Each day’s three session stats are stored as a row. You choose how many recent sessions to keep in memory. The script then:
Builds cumulative returns for APAC, EU, US across the lookback.
Computes averages, win rates, and a Sharpe-like ratio avgreturn÷avgvolatilityavg return ÷ avg volatilityavgreturn÷avgvolatility per session.
Tracks streaks of positive or negative sessions to show momentum.
Tracks drawdowns on cumulative returns to show worst runs from peak.
Computes rolling means over a short window for short-term drift.
4) Correlation heatmap
Using the stored arrays of session returns, the script calculates Pearson correlations between APAC–EU, APAC–US, and EU–US, and colors the matrix by strength and sign so you can spot coupling or decoupling at a glance.
What it plots
Three lines: cumulative return for APAC, EU, US over the chosen lookback.
Zero reference line for orientation.
A statistics table with cumulative %, average %, positive session rate, and optional columns for volatility, average volume, max drawdown, current streak, return-to-vol ratio, and rolling average.
A small correlation heatmap table showing APAC, EU, US cross-session correlations.
How to use it
Pick the asset — leave Custom Instrument empty to use the chart symbol, or point to another symbol for cross-asset studies.
Set your sessions and time zones — defaults approximate APAC, EU, and US hours, but you can align them to exchange times or your workflow.
Choose calculation modes — Percent vs Points for return, Range vs ATR for volatility. Points are convenient for futures and fixed-tick assets, Percent is comparable across symbols.
Decide the lookback — more sessions smooths lines and stats; fewer sessions makes the tool more reactive.
Toggle analytics — add volatility, volume, drawdown, streaks, Sharpe-like ratio, rolling averages, and the correlation table as needed.
Why session attribution helps
Different sessions are driven by different flows. Asia often sets the overnight tone, Europe adds liquidity and direction changes, and the US session can dominate range expansion. Separating contributions by session helps you:
Identify which session has been the main driver of net trend.
Measure whether volatility or volume is concentrated in a specific window.
See if one session’s gains are consistently given back in another.
Adapt tactics: fade during a mean-reverting session, press during a trending session.
Reading the tables
Cumulative % — sum of session returns over the lookback. The sign and slope tell you who is carrying the move.
Avg Return % and Positive Sessions % — direction and hit rate. A low average but high hit rate implies many small moves; the reverse implies occasional big swings.
Avg Volatility % — typical intrabars range for that session. Compare with Avg Return to judge efficiency.
Return/Vol Ratio — return per unit of volatility. Higher is better for stability.
Max Drawdown % — worst cumulative give-back within the lookback. A quick way to spot riskiness by session.
Current Streak — consecutive up or down sessions. Useful for mean-reversion or regime awareness.
Rolling Avg % — short-window drift indicator to catch recent turnarounds.
Correlation matrix — green clusters indicate sessions tending to move together; red indicates offsetting behavior.
Settings overview
Basic
Number of Sessions — how many recent days to include.
Custom Instrument — analyze another ticker while staying on your current chart.
Session Configuration and Times
Enable or hide APAC, EU, US rows.
Set hours per session and the specific time zone for each.
Calculation Methods
Return Calculation — Percent or Points.
Volatility Calculation — Range or ATR; ATR Length when applicable.
Advanced Analytics
Correlation, Drawdown, Momentum, Sharpe-like ratio, Rolling Statistics, Rolling Period.
Display Options and Colors
Show Statistics Table and its position.
Toggle columns for Volatility and Volume.
Pick individual colors for each session line and row accents.
Common applications
Session bias mapping — find which window tends to trend in your market and plan exposure accordingly.
Strategy scheduling — allocate attention or risk to the session with the best return-to-vol ratio.
News and macro awareness — see if correlation rises around central bank cycles or major data releases.
Cross-asset monitoring — set the Custom Instrument to a driver (index future, DXY, yields) to see if your symbol reacts in a particular session.
Notes
This indicator works on intraday charts, since sessions are defined within a day. If you change session clocks or time zones, give the script a few bars to accumulate fresh rows. Percent vs Points and Range vs ATR choices affect comparability across assets, so be consistent when comparing symbols.
Session context is one of the simplest ways to explain a messy tape. By separating the day into three windows and scoring each one on return, volatility, and consistency, this tool shows not just where price ended up but when and how it got there. Use the cumulative lines to spot the steady driver, read the table to judge quality and risk, and glance at the heatmap to learn whether the sessions are amplifying or canceling one another. Adjust the hours to your market and let the data tell you which session deserves your focus.
Gann Fan Strategy [KedarArc Quant]Description
A single-concept, rule-based strategy that trades around a programmatic Gann Fan.
It anchors to a swing (or a manual point), builds 1×1 and related fan lines numerically, and triggers entries when price interacts with the 1×1 (breakout or bounce). Management is done entirely with the fan structure (next/previous line) plus optional ATR trailing.
What TV indicators are used
* Pivots: `ta.pivothigh/ta.pivotlow` to confirm swing highs/lows for anchor selection.
* ATR: `ta.atr` only to scale the 1×1 slope (optional) and for an optional trailing stop.
* EMA: `ta.ema` as a trend filter (e.g., only long above the EMA, short below).
No RSI/MACD/Stoch/Heikin/etc. The logic is one coherent framework: Gann price–time geometry, with ATR as a scale and EMA as a risk filter.
How it works
1. Anchor
* Auto: chooses the most recent *confirmed* pivot (you control Left/Right).
* Manual: set a price and bar index and the fan will hold that point (no re-anchoring).
* Optional Re-anchor when a newer pivot confirms.
2. 1×1 Slope (numeric, not cosmetic)
* ATR mode: `1×1 = ATR(Length) × Multiplier` (adapts to volatility).
* Fixed mode: `ticks per bar` (constant slope).
Because slope is numeric, it doesn’t change with chart zoom, unlike the drawing tool.
3. Fan Lines
Builds classic ratios around the 1×1: 1/8, 1/4, 1/3, 1/2, 1/1, 2/1, 3/1, 4/1, 8/1.
4. Signals
* Breakout: cross of price over/under the 1×1 in the EMA-aligned direction.
* Bounce (optional): touch + reversal across the 1×1 to reduce whipsaw.
5. Exits & Risk
* Take-profit at the next fan line; Stop at the previous fan line.
* If a level is missing (right after re-anchor), a fallback Risk-Reward (RR) is used.
* Optional ATR trailing stop.
Why this is unique
* True numeric fan: The 1×1 slope is calculated from ATR or fixed ticks—not from screen geometry—so it is scale-invariant and reproducible across users/timeframes.
* Deterministic anchor logic: Uses confirmed pivots (with your L/R settings). No look-ahead; anchors update only when the right bars complete.
* Fan-native trade management: Both entries and exits come from the fan structure itself (with a minimal ATR/EMA assist), keeping the method pure.
* Two entry archetypes: Breakout for momentum days; Bounce for range days—switchable without changing the core model.
* Manual mode: Lock a session’s bias by anchoring to a chosen swing (e.g., day’s first major low/high) and keep the fan constant all day.
Inputs (quick guide)
* Auto Anchor (Left/Right): pivot sensitivity. Higher values = fewer, stronger anchors.
* Re-anchor: refresh to newer pivots as they confirm.
* Manual Anchor Price / Bar Index: fixes the fan (turn Auto off).
* Scale 1×1 by ATR: on = adaptive; off = use ticks per bar.
* ATR Length / ATR Multiplier: controls adaptive slope; start around 14 / 0.25–0.35.
* Ticks per bar: exact fixed slope (match a hand-drawn fan by computing slope ÷ mintick).
* EMA Trend Filter: e.g., 50–100; trades only in EMA direction.
* Use Bounce: require touch + reverse across 1×1 (helps in chop).
* TP/SL at fan lines; Fallback RR for missing levels; ATR Trailing Stop optional.
* Transparency/Plot EMA: visual preferences.
Tips
* Range days: larger pivots (L/R 8–12), Bounce ON, ATR Multiplier \~0.30–0.40, EMA 100.
* Trend days: L/R 5–6, Breakout, Multiplier \~0.20–0.30, EMA 50, ATR trail 1.0–1.5.
* Match the TV Gann Fan drawing: turn ATR scale OFF, set ticks per bar = `(Δprice between anchor and 1×1 target) / (bars) / mintick`.
Repainting & testing notes
* Pivots require Right bars to confirm; anchors are set after confirmation (no look-ahead).
* Signals use the current bar close with TradingView strategy mechanics; real-time vs. bar-close can differ slightly, as with any strategy.
* Re-anchoring legitimately moves the structure when new pivots confirm—by design.
⚠️ Disclaimer
This script is provided for educational purposes only.
Past performance does not guarantee future results.
Trading involves risk, and users should exercise caution and use proper risk management when applying this strategy.
