ATR Table 2.0ATR Table 2.0
This script was created in order to display a table that "calculates" how far the price can go on the current day .
The script is a table with 3 lines that calculates:
First Line - Day TR: The True Range of the current day ( - , including an Opening GAP if it exists);
Second Line - 10 Day ATR: The Average True Range of the asset (including Opening GAPs) for the last 10 days;
Third LIne - Range Consumed: How much of the 10 Day ATR it was consumed on the current day.
Example of how to use the information on the table and the understanding of it's purpose:
1) Supose you are day trading an asset that, during the last 10 days, have moved around $1.00 a day - This is the 10 Day ATR.
2) On this day, after 2 hours of the opening market, the price have already moved $0.50 (supose that it has moved $0.30 up and $0.35 down from the close of the prior day and the price is now near the close of the prior day).
3) In this situation, knowing that the price often moves around $1.00 a day, and knowing that it already moved $0.65 ($0.30 up and $0.35 down based on the close of the prior day), you may pay attention when the price breaksthrough the max or the min of the day, cause it can still move $0.35 in that direction ($1.00 - $0.65).
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ATR Table 2.0
Esse script foi criado para disponibilizar uma tabela que "calcula" quanto o preço pode andar ainda no dia em questão .
O script é uma tabela com 3 linhas que calcula:
Primeira Linha - TR do Dia: O Range Verdadeira do dia em questão ( - , incluindo GAP de Abertura se for o caso);
Segunda Linha - ATR de 10 Dias: A média do Range Verdadeira do ativo (incluindo GAPs de abertura) dos últimos 10 dias;
Terceira Linha - Range Consumido: O quanto do ATR de 10dias já foi consumido no dia em questão.
Exemplo de como usar essa informação na tabela e o entendimento do seu propósito:
1) Suponha que você está realizando day trade de um ativo que, durante os últimos 10 dias, se move em torno de $1.00 por dia. Esse é o ATR de 10 dias.
2) Nesse dia, após 2 horas da abertura do pregão, o preço já se moveu $.050 (suponhamos que ele tenha se moveu $0.30 para cima e $0.35 para baixo a partir do fechamento do dia anterior e agora o preço está próximo do fechamento do dia anterior).
3) Nessa situação, sabendo que o preço se move por volta de $1.00 por dia, e sabendo que ele já se moveu $0.65 ($0.30 pra cima e $0.35 pra baixo a partir do fechamento do dia anterior), você deve se atentar para quando o preço romper a máxima ou a mínima do dia, pois ele pode se mover ainda $.035 na direção do rompimento ($1.00 - $0.65).
Educational
[ChasinAlts] All-Timers [MO]*** PLEASE NOTE: THIS SCRIPT WILL MAKE TV's SERVERS FLEX IT'S MUSCLES SO IT WILL SLOW DOWN OTHER PROCESSES WITHIN TV (HIDE THEM IF NECESSARY TO REGAIN THE SPEED/FUNCTION...OR DELETE THEM...WHAT DO I CARE???) ESP IF YOU HAVE 3-4 ITERATIONS AS I DO TO SHOW THE WHOLE KUCOIN MARGIN MARKET ***
G'day Tradeurs, Hope everyone is having a FAN-FRIGGIN-TASTIC DAY!!! Right now (November 2nd, 2022) is a GREAT time to look for coins that are near their ALL-Time Low
due to the incoming bull market rearing its head around the corner (I'd wait for ONE MORE big dump to be safe though). And how GREAT would it be to even have
$50 of a coin with 10X leverage (I wouldn't suggest this to others though) at the near bottom said market? That is the reason for me publishing this.
This is a quick little scanner script thats part of my "Market Overview" series. Nothing monumental or advanced regarding the ATH/ATL calculations.
Perhaps one thing slightly different here than others is both the % from ATH and % from ATL is calculated and the result is the % that the price is between it's ATH/ATL.
So, it will show the All Time High/All Time Low BUT ONLY to the extent that the TF will allow. Ie. For the Free Planned Users, they can only get data as far back as
5,000 bars would provide. Thus, the ATH/ATL will not show the ACTUAL ATH/ATL but the highest high/lowest low within the last 5,000 bars. So if you want to get more
granular then I suggest you going with a Lower TF but if you want to see the ACTUAL ATH/ATL then the Daily TF or higher is what you're looking for. Make sure to note
that when a coin's plot is staying even with the 0 or 100 line(0 being the ATL within the TF and vise versa) that means the coin is pushing the ATH/ATL further than it
previously was, Also, as with many of my other scripts, I've included a coin filter that will either allow or disallow the plot to be printed depending on if the
"Printed Bar Count" is selected and if it's % is above the threshold (set by the user). This filter will pretty much be useless on the higher TF so don't expect a change
in the data output if you're using a HTF and have that filter selected for use. Elaboration on the inner-workings of MOST inputs can be found in the tooltips provided
along side it and viewed within the settings menu by hovering your curser over the little circled "i" next to the appropriate setting (or near it if the tooltips are
referencing each other or other inputs around itself). May the force be with your trades (in my best Darth Vader voice). Toodles. -ChasinAlts
10y3mYieldInversionThis indicator shows when the US 3 Month treasury yield goes above the 10 year yield.
Support Bands indicatorSupport Band to follow Trends.
We can see clear where price is Trading. Observe how moving averages are developing or aligning to change trend or continuation.
Green up trend vs Red Down Trend
Band 1
8EMA Green Line vs 10SMA Light blue Line
Band 2
21EMA Orange Line vs 30 SMA Brown Line
Also includes
1 SMA Gray line for closing when you're looking at weakly charts.
40 SMA darker Gray
50 SMA Blue
100 SMA White
150 SMA Pink
200 SMA Yellow
300 SMA Dark Red
I hope it helps you to see when price is trending up and a set correctly your stop.
Automatic Closest FVG with BPRFair Value Gaps are a hugely popular concept and because of that there are numerous indicators available. This one however, was designed to automate the process of actually using them in trading.
Designed with lower time frame entries in mind (though will work on HTF just as well), this indicator automatically draws the closest, non-mitigated FVG, to the current price, cutting out the work of looking for what FVG is relevant.
The indicator also has an option to show when the current nearest pair of FVGs form a BPR or 'balanced price range'.
There are various option for what counts as mitigation, including no mitigation at all, and when mitigated an FVG is no longer considered for proximity searching.
2nd DerivativeLike the 1st derivative, the 2nd derivative is also made out as dynamic. As in, instead of using close-open. Good-Luck, and if you spot something you'd like to add, make it so!
As per the display, the circles are set in color black, at 0%, and a Smooth MA overlay to represent the average.
First DerivativeThis script shows how first derivative is calculated from a 'dynamic-perspective'. Normally, you'd use: (close-open)/open x 100%. Unfortunately, i believe experience shows us, this puts you at a disadvantage, since the markets are moving continuously.
As per the display, the circles are made black, at 0%, and a smoothed-MA is made as an overlay.
Ichimoku Cloud Middle LineMiddle Line Ichimoku cloud for my friend and me
The Ichimoku Cloud is a collection of technical indicators that show support and resistance levels, as well as momentum and trend direction. It does this by taking multiple averages and plotting them on a chart. It also uses these figures to compute a “cloud” that attempts to forecast where the price may find support or resistance in the future.
The Ichimoku Cloud was developed by Goichi Hosoda, a Japanese journalist, and published in the late 1960s.
1
It provides more data points than the standard candlestick chart. While it seems complicated at first glance, those familiar with how to read the charts often find it easy to understand with well-defined trading signals.
Advanced Donchian Channels
Advanced Donchian Channels displays future donchian channel values based on the current information on the chart.
It displays a normal donchian channel at the specified user length with the future values extending from the current bar.
Depending on the direction of price movement, these values do not repaint. It is known when it does and does not repaint, and the actions are normal. See below for more information.
In a down trend, when the price is making new lows, the future "channel low" value will update every time the low is broken. The mean will also update, since the mean is the average of the channel high and channel low.
In a downtrend, the "channel high" value is concrete . It will not update until the high is broken.
Reverse these examples for uptrends.
Q;
How does it know the future values?
A:
Consider This: If we are below the current highest high, going down (aka: not setting new highs), the donchian channel "high" value will create a flat top, the flat top will start to decrease after we go further than our specified length. This is because the highest high within our specified length is no longer what it was previously. This action of time decay is a consistent movement of donchian channels . Because of this I am able to calculate these values before the current bar actually reaches them.
The indicator calculates the current length donchian channel at the current bar and then for every future bar up to your length specified it subtracts 1 from your length, calculates and displays the values accordingly.
The farthest future value is 1 length and the current bar is your specified length.
VALUES WILL ONLY BE UPDATED WHEN THE CHANNEL HIGH OR LOW IS BROKEN.
If price stays within the channel, all the future channel values will become solidified when the time reaches them.
This is not a gimmick, This data is accurate and can be used to help see future price trends
This chart should assist in visualizing what data you are seeing in this indicator.
Enjoy!
Trading range display with BoxThis script is just for reference to see the trading range.
Do not use this strategy logic, it is just Test strategy.
The trading range is colored depending on whether it is profitable or not.
You can change the color if you want.
When you declare the strategy, put (process_orders_on_close=true,calc_on_every_tick=true, max_boxes_count=500) in your script.
Then it can show you current open trading as well.
If you use switching strategy (e.g longposition to shortposition right away), it may not show you the range properly.
In that case, reduse the test period.
IT IS Repainting Reference.
If you want to see your strategy result visually,
Just copy and paste from line 22 in my script.
Good Luck everyone.
전략 거래 기간 동안을 보여주는 지표입니다.
이 지표에 쓰인 전략은 단순 테스트용 입니다. 절대 사용하지 마세요.
각 거래기간은 수익이냐 아니냐에 따라 색깔이 정해 집니다.
색깔은 여러분이 변경하실 수 있습니다.
전략을 선언부에 process_orders_on_close=true,calc_on_every_tick=true, max_boxes_count=500 을 넣으시면 현재 오픈 거래도 보실 수 있습니다.
스위칭 전략(롱에서 숏으로 바로 전환하는 전략)을 쓰시는 분들은 아마 테스트 기간을 줄이라는 경고를 받으실 수 있습니다.
이 지표는 리페이팅이 될 수 있습니다.
전략 결과를 눈으로 보고 싶으신 분들은 22번째 줄 부터 카피하시면 됩니다.
행운이 있길..
---strategy set---
default_qty_value=10
commission_value=0.04
slippage=2
ERDAL SARIDAS Visual RSIOne-stop shop for all your divergence needs, including:
(1) A single metric for divergence strength across multiple indicators.
(2) Labels that make it easy to spot where the truly strong divergence is by showing the overall divergence strength value along with the number of divergent indicators. Hovering over the label shows a breakdown of each divergent indicator and its individual divergence strength value.
(3) Fully customizable, including inputs for pivot lengths, divergence types, and weights for every component of the divergence strength calculation. This allows you to quickly and easily optimize the output for any chart. Don't worry, the default settings will have you covered if you're not interested in what's going on under the hood.
The Divergence Strength Calculation:
The total divergence strength value is the sum of the divergence strengths of all indicators for which divergence was detected at a given bar. Each indicator's individual divergence strength is comprised of two basic components: (1) |ΔPrice| - the magnitude of the change in price over the divergence period (pivot-to-pivot), and (2) |ΔIndicator| - the magnitude of the change in indicator value over the divergence period.
Because different indicators' scales and volatility can vary greatly, the Δ values are expressed in terms of standard deviation to ensure that the values are meaningful and equitable across all indicators and assets/instruments/currency pairs, etc:
|ΔIndicator| = |indicator_value_1 - indicator_value_2| / 2 * StDev(indicator_series,100)
Calculation Weights:
All components of the calculation are weighted and can be modified on the Inputs page in settings (weights are simply multipliers). For example, if you think hidden divergence should carry less weight than regular divergence, you can assign it a lesser weight. Or if you think RSI divergence is worth more than OBV divergence, you can adjust their weights accordingly. List of weights:
Regular divergence weight - default = 1
Hidden divergence weight - default = 1
ΔPrice weight - default = 0.5 (multiplied by the ΔPrice component)
ΔIndicator weight - default = 1.5 (multiplied by the ΔIndicator component)
RSI weight - default = 1.1
OBV weight - default = 0.8
MACD weight - default = 0.9
STOCH weight - default = 0.9
Development for additional indicators is ongoing, as is research into the optimal weight configuration(s).
Other Inputs:
Pivot lengths - specify the number of bars before and after each pivot high/low to consider it a valid candidate for divergence.
Lookback bars and Lookback pivots - specify the number of bars or the number of pivots to look back across.
Price sources - specify separate price sources for bullish and bearish divergence
Display settings - specify how lines and labels should display, including which divergence strength values should show the largest labels. Include/exclude specific divergence types and indicators.
Please report any bugs, or let me know if you have any enhancement suggestions or requests for additional indicators.
Coppock Unchanged
An implementation of the "Coppock Unchanged" plot concept by Tom McClellan.
Simply put, assume that for each bar, an alternative close creates a Coppock Plot that is unchanged , i.e. a close that generates a flat coppock curve.
This coppock unchanged plot can be used to:
1) identify a start of a trend on a long timescale (monthly) when the price goes above the coppock unchanged plot after a major correction
2) potentially identify an end of a trend when the prices goes below the coppock unchanged plot
See Tom McClellan's article 'Coppock Curve Still Working On a Major Bottom Signal' for a full explanation...
Newzage - Fed Net LiquidityThe Fed Net Liquidity indicator is a concept discovered by Max Anderson to calculate the fair value of SPX (S&P 500 Index).
The formula he shared on Twitter uses the Fed Balance Sheet, TGA (Treasury General Account), and Reverse Repo.
Net Liquidity = Fed Balance Sheet - (TGA + Reverse Repo)
The data for each component above is accessible on the FRED website.
Fed Balance Sheet fred.stlouisfed.org
Treasury General Account (TGA) fred.stlouisfed.org
Reverse Repo fred.stlouisfed.org
This script uses net liquidity (NL) fair value calculation for SPX, then estimates entry and next target exit target for both long and short trades on SPY.
The script added RSI oversold/overbought signal to the original NL signal from Max... improving the "precision" of the buy/sell signals.
The script also uses RSI to estimate targets based on how overbought or oversold the index/SPY is.
SpreadTrade - Auto-Cointegration (ps5)Decsription: Auto-Cointegration-Based Pair Trading Strategy (revised version)
To review, there are three popular styles of Pair trading: distance-based pair trading, correlation-based pair trading and cointegration-based pair trading. Typically, they require preliminary statistical estimation of the viability of the corresponding strategy.
Basically a pair trade strategy boils down to shorting the outperforming instrument and going long on the underperforming instrument whenever the temporary correlation weakens which means one instrument is going up and another is going down. Apart from the typical cointegration strategy which employs two cointegrated instruments, this script uses just one instrument, in base timeframe and in lagged timeframe, actually making it an auto-cointegration, or better still, an auto-correlation strategy.
Notice that each moving average function may require different Threshold settings.The orange cross symbol indicates the exit points. To filter out the signals use higher values for the LongWindow and the Threshold parameters. Also pay attention that in some cases with some moving averages the color of the signals has to be inverted.
Educational: lines, linefill, labels & boxesThis educational script contains different examples regarding lines , linefill , labels & boxes
First part shows the use of array.new() without first
retrieving line.new() which then are put in a linefill.new()
At every start of the week a linefill.new() is added with the top line being
previous Weekly high , and the bottom line being previous Weekly low ,
if close doesn't go above top line, or below bottom line, both lines will be made longer
with 1 bar_index ( line.set_x2 ), otherwise the lines stop, and change color
Please read the comments in the script as well
Cheers!
Fed Net Liquidity Indicator v2Updated script for jlb05013's original Fed Net Liquidity Indicator. TradingView was bringing in the FRED data in different units than they used to. This code fixes it.
This indicator aims to present a "Net Liquidity" indicator comprised of the Fed Balance sheet , less the TGA account and Overnight Reverse REPO agreements.
Net Liquidity = Fed Balance Sheet - ( TGA + Reverse REPO)
This is an overlay that can be added to stock or other charts (like SPY ) to see how the market may appear correlated to Net Liquidity - injection of liquidity into the markets.
This was hypothesized by Max Anderson, this is just a script realizing that posting.
New updates include a resolution feature, and an option to offset backwards by 2 days per original intent.
Daily Profile (Nephew_Sam_)From getting several requests to combine many of my indicators into one, this indicator plots everything you need for a Daily Profile.
1. Session = Current session + Daily dividers + day of the week
2. Open Lines = Plot the open of the day, midnight, week and month
3. Asian Range = Plots the asian range with an option for midpoint and extending lines
4. Previous OHLC = Plot the previous day/week/month OHLC
EVERY line/label/color/size/style is fully customizable in this indicator.
Important to adjust your timezone to get the correct data
[Sniper] SuperTrend + SSL Hybrid + QQE MODHi. I’m DuDu95.
**********************************************************************************
This is the script for the series called "Sniper".
*** What is "Sniper" Series? ***
"Sniper" series is the project that I’m going to start.
In "Sniper" Series, I’m going to "snipe and shoot" the youtuber’s strategy: to find out whether the youtuber’s video about strategy is "true or false".
Specifically, I’m going to do the things below.
1. Implement "Youtuber’s strategy" into pinescript code.
2. Then I will "backtest" and prove whether "the strategy really works" in the specific ticker (e.g. BTCUSDT) for the specific timeframe (e.g. 5m).
3. Based on the backtest result, I will rate and judge whether the youtube video is "true" or "false", and then rate the validity, reliability, robustness, of the strategy. (like a lie detector)
*** What is the purpose of this series? ***
1. To notify whether the strategy really works for the people who watched the youtube video.
2. To find and build my own scalping / day trading strategy that really works.
**********************************************************************************
*** Strategy Description ***
This strategy is from " QQE MOD + supertrend + ssl hybrid" by korean youtuber "코인투데이".
"코인투데이" claimed that this strategy will make you a lot of money in any crypto ticker in 15 minute timeframe.
### Entry Logic
1. Long Entry Logic
- Super Trend Short -> Long
- close > SSL Hybrid baseline upper k
- QQE MOD should be blue
2. Short Entry Logic
- Super Trend Long -> Short
- close < SSL Hybrid baseline lower k
- QQE MOD should be red
### Exit Logic
1. Long Exit Logic
- Super Trend Long -> Short
2. Short Entry Logic
- Super Trend Short -> Long
### StopLoss
1. Can Choose Stop Loss Type: Percent, ATR, Previous Low / High.
2. Can Chosse inputs of each Stop Loss Type.
### Take Profit
1. Can set Risk Reward Ratio for Take Profit.
- To simplify backtest, I erased all other options except RR Ratio.
- You can add Take Profit Logic by adding options in the code.
2. Can set Take Profit Quantity.
### Risk Manangement
1. Can choose whether to use Risk Manangement Logic.
- This controls the Quantity of the Entry.
- e.g. If you want to take 3% risk per trade and stop loss price is 6% below the long entry price,
then 50% of your equity will be used for trade.
2. Can choose How much risk you would take per trade.
### Plot
1. Added Labels to check the data of entry / exit positions.
2. Changed and Added color different from the original one. (green: #02732A, red: #D92332, yellow: #F2E313)
3. SuperTrend and SSL Hybrid Baseline is by default drawn on the chart.
4. If you check EMA filter, EMA would be drawn on the chart.
5. Should add QQE MOD indicator manually if you want to see QQE MOD.
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*** Rating: True or False?
### Rating:
→ 3.5 / 5 (0 = Trash, 1 = Bad, 2 = Not Good, 3 = Good, 4 = Great, 5 = Excellent)
### True or False?
→ True but not a 'perfect true'.
→ It did made a small profit on 15 minute timeframe. But it made a profit so it's true.
→ It worked well in longer timeframe. I think super trend works well so I will work on this further.
### Better Option?
→ Use this for Day trading or Swing Trading, not for Scalping. (Bigger Timeframe)
→ Although the result was not good at 15 minute timeframe, it was quite profitable in 1h, 2h, 4h, 8h, 1d timeframe.
→ Crypto like BTC, ETH was ok.
→ The result was better when I use EMA filter.
### Robust?
→ Yes. Although result was super bad in 5m timeframe, backtest result was "consistently" profitable on longer timeframe (when timeframe was bigger than 15m, it was profitable).
→ Also, MDD was good under risk management option on.
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*** Conclusion?
→ I recommend you not to use this on short timeframe as the youtuber first mentioned.
→ In my opinion, I can use on longer timeframe like 2h or bigger with EMA filter, stoploss and risk management.
[Sniper] SSL Hybrid + QQE MOD + Waddah Attar StrategyHi. I’m DuDu95.
**********************************************************************************
This is the script for the series called "Sniper".
*** What is "Sniper" Series? ***
"Sniper" series is the project that I’m going to start.
In "Sniper" Series, I’m going to "snipe and shoot" the youtuber’s strategy: to find out whether the youtuber’s video about strategy is "true or false".
Specifically, I’m going to do the things below.
1. Implement "Youtuber’s strategy" into pinescript code.
2. Then I will "backtest" and prove whether "the strategy really works" in the specific ticker (e.g. BTCUSDT) for the specific timeframe (e.g. 5m).
3. Based on the backtest result, I will rate and judge whether the youtube video is "true" or "false", and then rate the validity, reliability, robustness, of the strategy. (like a lie detector)
*** What is the purpose of this series? ***
1. To notify whether the strategy really works for the people who watched the youtube video.
2. To find and build my own scalping / day trading strategy that really works.
**********************************************************************************
*** Strategy Description ***
This strategy is from "SSL QQE MOD 5MIN SCALPING STRATEGY" by youtuber "Daily Investments".
"Daily Investments" claimed that this strategy will make you some money from 100 trades in any ticker in 5 minute timeframe.
### Entry Logic
1. Long Entry Logic
- close > SSL Hybrid Baseline.
- QQE MOD should turn into blue color.
- Waddah Attar Explosion indicator must be green.
2. Short Entry Logic
- close < SSL Hybrid Baseline
- QQE MOD should turn into red color.
- Waddah Attar Explosion indicator must be red.
### Exit Logic
1. Long Exit Logic
- When QQE MOD turn into red color.
2. Short Entry Logic
- When QQE MOD turn into blue color.
### StopLoss
1. Can Choose Stop Loss Type: Percent, ATR, Previous Low / High.
2. Can Chosse inputs of each Stop Loss Type.
### Take Profit
1. Can set Risk Reward Ratio for Take Profit.
- To simplify backtest, I erased all other options except RR Ratio.
- You can add Take Profit Logic by adding options in the code.
2. Can set Take Profit Quantity.
### Risk Manangement
1. Can choose whether to use Risk Manangement Logic.
- This controls the Quantity of the Entry.
- e.g. If you want to take 3% risk per trade and stop loss price is 6% below the long entry price,
then 50% of your equity will be used for trade.
2. Can choose How much risk you would take per trade.
### Plot
1. Added Labels to check the data of entry / exit positions.
2. Changed and Added color different from the original one. (green: #02732A, red: #D92332, yellow: #F2E313)
3. SSL Hybrid Baseline is by default drawn on the chart.
4. If you check EMA filter, EMA would be drawn on the chart.
5. Should add QQE MOD and Waddah Attar Explosion indicator manually if you want to see QQE MOD.
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*** Rating: True or False?
### Rating:
→ 1.5 / 5 (0 = Trash, 1 = Bad, 2 = Not Good, 3 = Good, 4 = Great, 5 = Excellent)
### True or False?
→ False
→ Doesn't Work on 5 minute timeframe. Also, it doesn't work on crypto.
### Better Option?
→ Use this for Day trading or Swing Trading, not for Scalping. (Bigger Timeframe)
→ Although the result was bad at 5 minute timeframe, it was profitable in 1h, 2h, 4h, 8h, 1d timeframe.
→ BTC, ETH was ok.
→ The result was better when I use EMA filter (only on longer timeframe).
### Robust?
→ So So. Although result was bad in short timeframe (e.g. 30m 15m 5m), backtest result was "consistently" profitable on longer timeframe.
→ Also, MDD was not that bad under risk management option on.
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*** Conclusion?
→ Don't use this on short timeframe.
→ Better use on longer timeframe with filter, stoploss and risk management.
Price Correction to fix data manipulation and mispricingPrice Correction corrects for index and security mispricing to the extent possible in TradingView on both daily and intraday charts. Price correction addresses mispricing issues for specific securities with known issues, or the user can build daily candles from intraday data instead of relying on exchange reported daily OHLC prices, which can include both legitimate special auction and off-exchange trades or illegitimate mispricing. The user can also detect daily OHLC prices that don’t reflect the intraday price action within a specified percent deviation. Price Correction functions as normal candles or bars for any time frame when correction is not needed.
On the 4th of October 2022, the AMEX exchange, owned by the New York Stock Exchange, decided to misprice the daily OHLC data for the SPY, the world’s largest ETF fund. The exchange eliminated the overnight gap that should have occurred in the daily chart that represents regular trading hours by showing a wick connecting near the close of the previous day. Neither the SPX, the SP500 cash index that the SPY ETF tracks, nor other SPX ETFs such as VOO or IVV show such a wick because significant price action at that level never occurred. The intraday SPY chart never shows the price drop below 372.31 that day, but there is a wick that extends to 366.57. On the 6th of October, they continued this practice of using a wick that connects with the close of the previous day to eliminate gaps in daily price action. The objective of this indicator is to fix such inconsistent mispricing practices in the SPY, NYA, and other indices or securities.
Price Correction corrects for the daily mispricing in the SPY to agree with the price action that actually occurred in the SPX index it tracks, as well as the other SPX ETFs, by using intraday data. The chart below compares the Price Correction of the SPY (top) to the SPX (middle) and the original mispriced SPY (bottom) with incorrect wicks. Price correction (top) removes those incorrect wicks (bottom) to match the SPX (middle).
The daily mispricing of the SPY follows after the successful deployment of the NYSE Composite Index mispricing, NYA, an index that represents all common stocks within the New York Stock Exchange, the largest exchange in the world. The importance of the NYA should not be understated. It is the price counterpart to NYSE’s market internals or statistics. Beginning in 2021, the New York Stock Exchange eliminated gaps in daily OHLC data for the NYA by using the close of the previous day as the open for the following day, in violation of their own NYSE Index Series Methodology. The Methodology states for the opening price that “The first index level is calculated and published around 09:30 ET, when the U.S. equity markets open for their regular trading session. The calculation of that level utilizes the most updated prices available at that moment.” You can verify for yourself that this is simply not the case. The first update of the NYA price for each day matches the close of the previous day, not the “most updated prices available at that moment”, causing data providers to often represent the first intraday bar with a huge sudden price change when an overnight price change occurred instead. For example, on 13 Jun 2022, TradingView shows a one-minute bar drop 2.3%. With a market capitalization of roughly 23 trillion dollars, the NYSE composite capitalization did not suddenly drop a half-trillion dollars in just one minute as the intraday chart data would have you believe. All major US indices, index ETFs, and even foreign indices like the Toronto TAX, the Australian ASXAL, the Bombay SENSEX, and German DAX had down gaps that day, except for the mispriced NYSE index. Price Correction corrects for this mispricing in daily OHLC data, as shown in the main chart at the top of this page comparing the original NYA (top) to the Price Corrected NYA (bottom).
Price Correction also corrects for the intraday mispricing in the NYA. The chart below shows how the Price Correction (top) replaces the incorrect first one-minute candles with gaps (bottom) from 22 Sep 2022 to 29 Sep 2022. TradingView is inconsistent in how intraday data is reported for overnight gaps by sometimes connecting the first intraday bar of the day to the close of the previous day, and other times not. This inconsistency may be due to manually changing the intraday data based on user support tickets. For example, after reporting the lack of a major gap in the NYA daily OHLC prices that existed intraday for 13 Jun 2022, TradingView opted to remove the true gap in intraday prices by creating a 2.3% half-a-trillion-dollar one-minute bar that connected the close of the previous day to show a sudden drop in price that didn’t occur, instead of adding the gap in the daily OHLC data that actually took place from overnight price action.
Price Correction allows users to detect daily OHLC data that does not reflect the intraday price action within a certain percent difference by changing the color of those candles or bars that deviate. The chart below clearly shows the start of the NYSE disinformation campaign for NYA that started in 2021 by painting blue those candles with daily OHLC values that deviated from the intraday values by 0.1%. Before 2021, the number of deviating candles is relatively sparse, but beginning in 2021, the chart is littered with deviating candles.
If there are other index or security mispricing or data issues you are aware of that can be incorporated into Price Correction, please let me know. Accurate financial data is indispensable in making accurate financial decisions. Assert your right to accurate financial data by reporting incorrect data and mispricing issues.
How to use the Price Correction
Simply add this “indicator” to your chart and remove the mispriced default candles or bars by right clicking on the chart, selecting Settings, and de-selecting Body, Wick, and Border under the Symbol tab. The Presets settings automatically takes care of mispricing in the NYA and SPY to the extent possible in TradingView. The user can also build their own daily candles based off of intraday data to address other securities that may have mispricing issues.
