Overbought / Oversold Screener## Introduction
**The Versatile RSI and Stochastic Multi-Symbol Screener**
**Unlock a wealth of trading opportunities with this customizable screener, designed to pinpoint potential overbought and oversold conditions across 17 symbols, with alert support!**
## Description
This screener is suitable for tracking multiple instruments continuously.
With the screener, you can see the instant RSI or Stochastic values of the instruments you are tracking, and easily catch the moments when they are overbought / oversold according to your settings.
The purpose of the screener is to facilitate the continuous tracking of multiple instruments. The user can track up to 17 different instruments in different time intervals. If they wish, they can set an alarm and learn overbought oversold according to the values they set for the time interval of the instruments they are tracking.**
Key Features:
Comprehensive Analysis:
Monitors RSI and Stochastic values for 17 symbols simultaneously.
Automatically includes the current chart's symbol for seamless integration.
Supports multiple timeframes to uncover trends across different time horizons.
Personalized Insights:
Adjust overbought and oversold thresholds to align with your trading strategy.
Sort results by symbol, RSI, or Stochastic values to prioritize your analysis.
Choose between Automatic, Dark, or Light mode for optimal viewing comfort.
Dynamic Visual Cues:
Instantly highlights oversold and overbought symbols based on threshold levels.
Timely Alerts:
Stay informed of potential trading opportunities with alerts for multiple oversold or overbought symbols.
## Settings
### Display
**Timeframe**
The screener displays the values according to the selected timeframe. The default timeframe is "Chart". For example, if the timeframe is set to "15m" here, the screener will show the RSI and stochastic values for the 15-minute chart.
** Theme **
This setting is for changing the theme of the screener. You can set the theme to "Automatic", "Dark", or "Light", with "Automatic" being the default value. When the "Automatic" theme is selected, the screener appearance will also be automatically updated when you enable or disable dark mode from the TradingView settings.
** Position **
This option is for setting the position of the table on the chart. The default setting is "middle right". The available options are (top, middle, bottom)-(left, center, right).
** Sort By **
This option is for changing the sorting order of the table. The default setting is "RSI Descending". The available options are (Symbol, RSI, Stoch)-(Ascending, Descending).
It is important to note that the overbought and oversold coloring of the symbols may also change when the sorting order is changed. If RSI is selected as the sorting order, the symbols will be colored according to the overbought and oversold threshold values specified for RSI. Similarly, if Stoch is selected as the sorting order, the symbols will be colored according to the overbought and oversold threshold values specified for Stoch.
From this perspective, you can also think of the sorting order as a change in the main indicator.
### RSI / Stochastic
This area is for selecting the parameters of the RSI and stochastic indicators. You can adjust the values for "length", "overbought", and "oversold" for both indicators according to your needs. The screener will perform all RSI and stochastic calculations according to these settings. All coloring in the table will also be according to the overbought and oversold values in these settings.
### Symbols
The symbols to be tracked in the table are selected from here. Up to 16 symbols can be selected from here. Since the symbol in the chart is automatically added to the table, there will always be at least 1 symbol in the table. Note that the symbol in the chart is shown in the table with "(C)". For example, if SPX is open in the chart, it is shown as SPX(C) in the table.
## Alerts
The screener is capable of notifying you with an alarm if multiple symbols are overbought or oversold according to the values you specify along with the desired timeframe. This way, you can instantly learn if multiple symbols are overbought or oversold with one alarm, saving you time.
在腳本中搜尋"spx"
Quadratic & Linear Time Series Regression [SS]Hey everyone,
Releasing the Quadratic/Linear Time Series regression indicator.
About the indicator:
Most of you will be familiar with the conventional linear regression trend boxes (see below):
This is an awesome feature in Tradingview and there are quite a few indicators that follow this same principle.
However, because of the exponential and cyclical nature of stocks, linear regression tends to not be the best fit for stock time series data. From my experience, stocks tend to fit better with quadratic (or curvlinear) regression, which there really isn't a lot of resources for.
To put it into perspective, let's take SPX on the 1 month timeframe and plot a linear regression trend from 1930 till now:
You can see that its not really a great fit because of the exponential growth that SPX has endured since the 1930s. However, if we take a quadratic approach to the time series data, this is what we get:
This is a quadratic time series version, extended by up to 3 standard deviations. You can see that it is a bit more fitting.
Quadratic regression can also be helpful for looking at cycle patterns. For example, if we wanted to plot out how the S&P has performed from its COVID crash till now, this is how it would look using a linear regression approach:
But this is how it would look using the quadratic approach:
So which is better?
Both linear regression and quadratic regression are pivotal and important tools for traders. Sometimes, linear regression is more appropriate and others quadratic regression is more appropriate.
In general, if you are long dating your analysis and you want to see the trajectory of a ticker further back (over the course of say, 10 or 15 years), quadratic regression is likely going to be better for most stocks.
If you are looking for short term trades and short term trend assessments, linear regression is going to be the most appropriate.
The indicator will do both and it will fit the linear regression model to the data, which is different from other linreg indicators. Most will only find the start of the strongest trend and draw from there, this will fit the model to whatever period of time you wish, it just may not be that significant.
But, to keep it easy, the indicator will actually tell you which model will work better for the data you are selecting. You can see it in the example in the main chart, and here:
Here we see that the indicator indicates a better fit on the quadratic model.
And SPY during its recent uptrend:
For that, let's take a look at the Quadratic Vs the Linear, to see how they compare:
Quadratic:
Linear:
Functions:
You will see that you have 2 optional tables. The statistics table which shows you:
The R Squared to assess for Variance.
The Correlation to assess for the strength of the trend.
The Confidence interval which is set at a default of 1.96 but can be toggled to adjust for the confidence reading in the settings menu. (The confidence interval gives us a range of values that is likely to contain the true value of the coefficient with a certain level of confidence).
The strongest relationship (quadratic or linear).
Then there is the range table, which shows you the anticipated price ranges based on the distance in standard deviations from the mean.
The range table will also display to you how often a ticker has spent in each corresponding range, whether that be within the anticipated range, within 1 SD, 2 SD or 3 SD.
You can select up to 3 additional standard deviations to plot on the chart and you can manually select the 3 standard deviations you want to plot. Whether that be 1, 2, 3, or 1.5, 2.5 or 3.5, or any combination, you just enter the standard deviations in the settings menu and the indicator will adjust the price targets and plotted bands according to your preferences. It will also count the amount of time the ticker spent in that range based on your own selected standard deviation inputs.
Tips on Use:
This works best on the larger timeframes (1 hour and up), with RTH enabled.
The max lookback is 5,000 candles.
If you want to ascertain a longer term trend (over years to months), its best to adjust your chart timeframe to the weekly and/or monthly perspective.
And that's the indicator! Hopefully you all find it helpful.
Let me know your questions and suggestions below!
Safe trades to all!
Leveraged Share VolumeHello everyone,
Did this quick reference indicator and figured I would share it as nothing like it exists that I could find.
What this does is it pulls leveraged share data and displays the bull share and bear share volume.
There are 5 pre-programmed shares. These include:
SPY
Pulls bull share data from: SPXL and UPRO
Pulls bear share data from: SPXU and SPXS
IWM
Pulls bull share data from: TNA
Pulls bear share data from: TZA
DIA
Pulls bull share data from: UDOW
Pulls bear share data from: SDOW
QQQ
Pulls bull share data from: TQQQ
Pulls bear share data from: SQQQ
XLE
Pulls bull share data from: ERX
Pulls bear share data from: ERY
As there continues to be more leveraged shares available (for example, AAPU, APPD, MSFT, TSLA, etc.) there is also the option to use these manual tickers as these shares become available. The image below shows the data input screen:
The indicator will default to show the data as a ratio. The ratio is calculated by the total bear shares over the total bull shares (sell to buy ratio). If you unselect the Ratio option (displayed in the image above), it will show the raw volume.
When data is displayed as a ratio, you will see the white SMA line. This will show you the average ratio over a 14 period lookback. This is customizeable under the SMA Length input (shown in the image above).
Indicator's purpose:
The aim of the indicator is to provide context as to where the current sentiment is. Its similar in concept to a put to call ratio. The idea is, the more bearish people are, the more inverse shares are being bought, the higher the ratio or raw volume for bear shares and vice versa for bullish situations.
If you would like some more contextual information about the powers of tracking this type of data for trading purposes, you can check out this idea I published about the relationship between leveraged shares and market sentiment/behaviour:
Otherwise, the indicator is pretty straight forward!
Its not meant to be anything but a reference indicator to help give you context of the current market positioning.
If you have any questions or suggestions, please feel free to leave them below.
Thank you for reading and checking out the indicator!
Safe trades everyone!
Biddles OIWAP-Price SpreadThis indicator is the companion to my OIWAP (Open Interested-Weighted Average price) open source indicator.
In observing the OIWAP, what seemed most interesting was the distance between price and OIWAP.
This indicator plots that spread in a histogram.
It seems when price is too high above all OIWAPs, it's locally overbought (sentiment is overly bullish), and vice versa when it's too far below all OIWAPs (sentiment is overly bearish).
But I think there are more unique observations to be made beyond that - I am still in discovery phase myself.
For example: Looking at the SPX while using the ticker override to display BINANCE:BTCUSDT.P OI-Price spread data.
It works on any asset that Tradingview has OI data for. But it's also interesting to view correlated assets by using ticker override in the indicator settings (open the correlated asset w/o OI data in your chart, then set ticker override to a symbol with OI data, like the SPX example above).
>> If you find any interesting observations using it, have suggestions for improving the script, etc., hit me up on Twitter!
>>> @thalamu_
See inside Candles: Directionality %; Constituent Bars & GapsSee inside candles based on user-input LTF setting: get data on 'Directionality' of your candle; Gaps (total and Sum; UP and DOWN); Number of Bull or Bear constituent candles
//Features:
-DIRECTIONALITY: compare length of the 'zig-zag' random walk of lower time frame constituent candles, to the full height of the current candle. Resulting % I refer to as 'directionality'.
-GAPs: what i refer to as 'gaps' are also known as Volume imbalances: the gap between previous candles close and current candle's open (if there is one).
--Gaps total (up vs down gaps). Number of Up gaps printed above bar in green, down gaps printed below bar in red.
--Gaps Sum (total summed UP gap, total summed down gaps. Sum of Up gaps printed above bar in green, Sum of down gaps printed below bar in red.
-Candles Total: Numer of LTF up vs down candles within current timeframe candle. Number of up candles printed above bar in green, Number of down candles printed below bar in red.
//USAGE:
-Primary purpose in this was the Directionality aspect. Wanted to get a measure of how choppy vs how directional the internals of a candle were. Idea being that a candle with high % directionality (approaching 100) would imply trending conditions; while a candle which was large range and full bodies but had a low % directionality would imply the internals were back-and-forth and => rebalanced, potentially indicating price may not need to retrace back into it and rebalance further. All rather experimental, please treat it as such: have a play around with it.
-Number of gaps, Sums of up and down gaps, ratio of up and down constituent candles also intended to serve a similar purpose as the above.
-Set the input lower timeframe; this must obviously be lower then your current timeframe. You will significant differences in results depending on the ratio your timeframes (chart timeframe vs user-input timeframe).
//User Inputs:
-Lower timeframe input (setting child candle size within current chart parent candle).
-Choose function from the four listed above.
-typical formating options: Bull color/bear color txt for gaps functions.
-display % unit or not.
-display vertical or horizontal text.
-Set min / max directionality thresholds; and color code results.
-Toggle on/off 'hide results outside of threshold' to declutter the chart.
-choose label style.
//NOTES:
-Directionality thresholds can be set manually; Max and Min thresholds can be set to filter out 'non-extreme' readings.
-Note that directionality % can sometimes exceed 100%, in cases where price trends very strongly and gaps up continuously such that sum of constituent candles is less than total range of parent candle.
-Personally i like the idea of seeking bold, large-range, full bodied candles, with a lower than typical directionality %; indicating that a price move is both significant and it's already done it's rebalancing; I would see this as potentially favourable for continuation (obviously depending on context).
---- Showcase of the other functions beyond Directionality percentage ----
Candles Total (bull vs Bear). ES1! Hourly; ltf = 5min: Candles total: LTF up candles and LTF down candles making up the current HTF candle (constituent number of UP candles printed above in green, Down candles printed below in red):
Gaps SUM. SPX hourly, ltf = 5min. Sum of 'UP' gaps within candle printed above in green, sum of 'DOWN' gaps printed below in red:
Gaps TOTAL: SPX hourly, ltf = 1min. Simply the total of 'up' gaps vs 'down' gaps withing our candle; based on the user input constituent candles within:
Murder Algo Stats: last portion of Indices closing hour (S&P)Stats regarding the 'murder algo' (last 10mins of the closing hour). Works on all sub-1hr timeframes. Best used on 5min, 10min 15min timeframe. Ideal use on 10min timeframe.
Can be applied to other user input sessions also
What i'm calling the 'Murder Algo' is the tendency of dynamic lower time frame price action in the final 10minutes of the S&P closing hour (or any of the three major US indices: S&P, Nasdaq, Dow).
If there are un-met liquidity targets (i.e. clean highs or lows) as we come into the last portion of the closing hour, price has a tendency to stretch up or down to reach these targets, swiftly.
These statisitics are somewhat experimental/research; trying to quantify this tendency. Please comment below if you think of some additions / modifications that may prove useful.
//Purpose:
-To get statistics of the tendency to 'reach' of the final bar (10minute bar in the above) of the closing hour in Indices (3pm - 4pm NY time).
-Specifically to see how often price reaches for HH or LL in the final bar of the closing hour (most of the time); and to see how far it reaches one way when it does (Mean, median, mode).
//Notes:
-Two sets of historical stats; one is based on the 'solo reach' of the last bar; the other is based on the reach of the last bar from the average price of the preceding bars of the session (purple line in the above)
-Works on any timeframe below hourly. Ideally used on 10min timeframe, but may be interesting to plot on 15min or 5min timeframe also.
-Should also work on custom user-defined session; though this indicator was explicly designed to investigate the 'murder algo': that final rush and/or whipsaw tendency of price in the last few minutes of Regular trading on Indices.
-For S&P, best used on SPX, which gives the longest history of all the S&P variants due to only showing Regular trading hours bars (500 days of history on 10min timeframe, for premium users)
-For most stats, i've rounded to ES1! mintick (i.e. rounded to nearest quarter dollar) =>> This allows more meaningful values for 'mode' statistical measure.
-I trade S&P; but this 'muder algo' phenomenon also obviously presents in Nasdaq and Dow.
//User Inputs:
-Session time input (defaults to closing hour 3pm - 4pm NY time)
-Average method (for the average of all the input session EXCEPT the final bar)
-Toggle on/off Average line.
-other formatting options: text color, table position, line color/style/size.
Example usage with annotations on SPX 500 chart 15m timeframe; using closing hour (3pm-4pm NY time) as our session:
LNL Simple Hedging ToolLNL Simple Hedging Tool
Simple Hedging Tool was created specifically for swing traders who struggle with hedging. This tool helps to spot the ideal moments to put the hedges on (protection of the portfolio during "high risk" times). Simple Hedging Tool will not help you when day trading. It was designed for the daily charts. It is called simple because it is pretty much self-explanatory indicator. The candles are either blue or yellow. Meaning of the colors depend on the version you are using. This tool consist of two versions:
SPX Version:
This version was designed for indexes & overall market benchmarks. In contrast with the VIX version, the SPX version is little more sophisticated since it is based on key market internals. Blue arrows above the candles? More often than not this is signalizing that the key market internals are now approaching bearish signals which means it is the best time to hedge any bullish positions. On the contrary, the yellow arrows are the good reason to lighten up of the shorts & ease off the gas pedal on any bearish outlooks.
VIX Version:
Apart from the black swan events (big market crashes) Vix usually oscillates between the daily extremes. The VIX version is based on a simple bollinger band technique which is visualized with blue & yellow arrows. Whenever the yellow arrows & candles appear, it is good time to put the hedges on & perhaps lighten up on longs.
IMPORTANT DISCLAIMER:
The signals from this tool WILL NOT TELL YOU where to buy or sell! But rather when is a good time TO NOT buy or TO NOT sell. Once the signals appear it does not necessarily mean that the move is over & reversion willl happen immidiately. These signals can be flashing for days even weeks. They are not flashing for you to change the bias but rather tighten up your exposure in case your portfolio is mostly one sided.
Hope it helps.
ADD 2This is a modification to the original ADD script by Tom1trader
I added the option to choose the timeframe, moving average type and length.
Note from the original script:
"This is the NYSE Advancers - decliners which the SPX pretty much follows. You can chart it like any index (ADD -NYSE $ADV MINUS $DECL) but I find it more useful in a separate panel with colors for direction.
The level gives an idea of days move (example: plus or minus 500 is not much movement through the session) but I follow the direction as when more stocks advance (green) or decline (red) the index tends to track it pretty closely.
On SPX , SPY and correlates - very useful for intra-day trading (Scalping or 0DTE option trades) but not for higher time frames at all. If you chart the ADD in a chart and compare 5 minute to daily you will see what I mean."
RSI with Keltner Channel (+EMA Ribbon)Note that the EMA Ribbon is not embedded into the custom RSI with KC. In the future I plan to embed it. The EMA Ribbon I use is the following:
This is my very first attempt at modifying an indicator. I basically attempted to add a Keltner Channel around RSI.
This was used as an alternative channel to the standard Bollinger Band. KC goes hand-in-hand with the EMA Ribbon. KC also helps to better pinpoint relative-overbought/oversold conditions.
In my belief, the 20-80 levels don't behave as overbought/oversold levels. An exponential chart would always be overbought. So a Keltner Channel could in theory (and in practice) give us greater understanding on chart analysis.
This custom indicator is a bodge . It has lots of extra calculations that can be removed. I post this rough indicator for the community to give feedback on how I can improve it, or perhaps give an idea to some of you. Please don't judge me, I wouldn't post it but lately some have asked me about it.
In the future I would like to embed an EMA ribbon in this RSI indicator, just like I did in the following idea.
During this period, I don't really have the time to fix this indicator to my standards. So I will leave it as is for the foreseeable future.
If you have the will and knowledge however, feel free to built upon this indicator and share it!
Tread lightly, for this is hallowed ground.
-Father Grigori
PS. In this indicator, I would replace all the moving averages with an EMA Ribbon "average".
Correlation prix [SP500, TESLA, BTCBefore you see this post I want to thank all the TradingView team. Every day that passes I learn better and better to use Pine script and I owe this to all those who publish and to the philosophy of TradingView. Thanks from Amos
This trading indicator compares the prices of the S&P 500 Index (SP500), Tesla (TSLA), and Bitcoin (BTC) to find correlations between them. To make the prices of SP500 and Tesla comparable to the price of Bitcoin, the indicator multiplies the closing price of Tesla by 114 and the closing price of the S&P 500 Index by 5.6.
In this way we can superimpose the prices on the BTC chart and see what happens.
Average BTC price/ tesla price = 114, so if we multiply the tesla price by 114 times we can superimpose it on the BTC price
At average BTC/SPX price = 5.6, also in this case we multiply the price of SPX by 5.6 to overlay the graph and see any correlations.
The indicator then calculates the average price between SP500 and Tesla, using the formula (SP500 + Tesla) / 2. This calculation creates a new line on the chart that represents the average price between these two assets.
The BTC_SP_TE variable is then calculated as the average of the closing price of Bitcoin and the previously calculated average price of SP500 and Tesla, using the formula (Btc + SP_TE) / 2. This calculation creates another line on the chart that represents the average price between Bitcoin and the previously calculated average between SP500 and Tesla.
The idea behind calculating these averages is to find correlations and patterns between the prices of these assets, which can help identify potential trading opportunities. By comparing the average prices of different assets, the trader can look for trends and patterns that might not be apparent when looking at each asset individually.
The indicator plots these prices on a chart and fills the area between them with either green or fuchsia, depending on which one is higher. The strategy suggests buying Bitcoin when the average price of SP500 and Tesla is higher than the current price of Bitcoin, and selling when it is lower.
To add visual cues to the trading strategy, the indicator uses the plotchar function to display a small triangle below the chart when it detects a potential buying opportunity. This is done with the following parameters:
Value: BTC_SP_TE < Btc and Btc > Btc1 and Btc1 > Btc , which is a logical expression that checks whether the average price of SP500 and Tesla is less than the current price of Bitcoin (BTC_SP_TE < Btc), and whether the current price of Bitcoin is higher than the price 10 bars ago (Btc > Btc1 ) and higher than the price on the previous bar (Btc1 > Btc ).
Text: "Moyen BTC_SP_Te", which is the text to display inside the marker.
Symbol: "▲", which is the symbol to use for the marker. In this case, it is a small triangle pointing upwards.
Location: location.belowbar, which specifies that the marker should be placed below the bar.
I hope this is an example of how to create an indicator on TradingView, remember that correlations do not always last, it is possible that when you see the graph this correspondence no longer exists, do your studies and get inspired.
Fair Value Strategy - ekmllThis is a strategy using SPX's Fair Value derived from Net Liquidity.
The main difference between this one and calebsandfort's one is net liquidity values in this one are calculated in TradingView and doesn't need author's daily library updates to function.
Net Liquidity function is simply: Fed Balance Sheet - Treasury General Account - Reverse Repo Balance
Formula for calculating the fair value of and Index using Net Liquidity looks like this: (WALCL - WTREGEN - RRPONTSYD)/1000000000/scalar - subtractor
The Index Fair Value is then subtracted from the Index value which creates an oscillating diff value.
When diff is greater than the overbought threshold, Index is considered overbought and we go short/sell.
When diff is less than the oversold signal, Index is considered oversold and we cover/buy.
Parameters:
Index: SPX, NDX, RUT
Strategy: Short Only, Long Only, Long/Short
Inverse (bool): check if using an inverse ETF to go long instead of short.
Scalar (float)
Subtractor (int)
Overbought Threshold (int)
Oversold Threshold (int)
Start After Date: When the strategy should start trading
Close Date: Day to close open trades. I just like it to get complete results rather than the strategy ending with open trades.
I've optimized the parameters for SPX.
QQQ Fair Value BandsThis is similar to the SPX Fair Value Bands indicator, but for QQQ.
It is based on the Net Liquidity model:
Net Liquidity = FED - RRP - TGA
RSI Multi Symbol/Time Frame DetectorThis code is an implementation of the Relative Strength Index (RSI) indicator, which is a popular momentum indicator used in technical analysis. The RSI measures the strength of an asset's price action and provides information on whether the asset is overbought or oversold. The code also calculates a moving average of the RSI and allows the user to choose the type of moving average to be calculated (SMA, EMA, SMMA, WMA, or VWMA).
The user can select from different time frames (5, 15, 60, or 240), symbols (SP:SPX, OANDA:EURUSD, or OANDA:NZDUSD), RSI lengths, and moving average types and lengths.
The code starts by defining a function called "ma" for calculating different types of moving averages. This function takes as input the source data for the moving average calculation (the RSI), the length of the moving average, and the type of moving average. The function uses a switch statement to return the appropriate calculation based on the inputted moving average type.
Next, the code calculates the RSI and its moving average. The RSI is calculated using the well-known formula for the RSI, which involves calculating the average gains and losses over a specified period of time and then dividing the average gains by the average losses. The moving average is calculated using the "ma" function defined earlier.
Finally, the code allows the user to choose the symbol and time frame to be used in the RSI calculation, as well as the length of the RSI and the moving average, and the type of moving average. The user can choose from three symbols (SP:SPX, OANDA:EURUSD, OANDA:NZDUSD) and four time frames (5, 15, 60, and 240 minutes). The code then uses the "request.security" function to retrieve the RSI calculation for the selected symbol and time frame.
Note: This code is example for you to use multi timeframe/symbol in your indicator or Strategy , also prevent Repainting Calculation
Global Net Liquidity - Dow Jones Global Fair ValueThis is similar to Global Net Liquidity - SPX Fair Value except it's for Dow Jones Global (symbol: W1DOW here on TradingView).
This is experimental and may change at any time.
Market SnapshotGet a snapshot of the market with the index's last price, distance to selectable moving averages, and breadth data.
Choose to see data based on the Nasdaq or SPX, as well as net highs / lows for the Nasdaq, NYSE or combined.
Snapshot shows:
- Index's (SPX or Nasdaq's) last price
- Put call ratio
- % of stocks above the 50 day moving average for the index of your choice
- % of stocks above the 200 day moving average for the index of your choice
- Distance to or from two selectable moving averages. (negative number means price is below the moving average, positive means price is above)
Configurable options:
- Which moving averages to use
- Where to display the table on your chart
- Table size, background and text colors
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.
Williams Vix Fix ultra complete indicator (Tartigradia)Williams VixFix is a realized volatility indicator developed by Larry Williams, and can help in finding market bottoms.
Indeed, as Williams describe in his paper, markets tend to find the lowest prices during times of highest volatility, which usually accompany times of highest fear. The VixFix is calculated as how much the current low price statistically deviates from the maximum within a given look-back period.
Although the VixFix originally only indicates market bottoms, its inverse may indicate market tops. As masa_crypto writes : "The inverse can be formulated by considering "how much the current high value statistically deviates from the minimum within a given look-back period." This transformation equates Vix_Fix_inverse. This indicator can be used for finding market tops, and therefore, is a good signal for a timing for taking a short position." However, in practice, the Inverse VixFix is much less reliable than the classical VixFix, but is nevertheless a good addition to get some additional context.
For more information on the Vix Fix, which is a strategy published under public domain:
* The VIX Fix, Larry Williams, Active Trader magazine, December 2007, web.archive.org
* Fixing the VIX: An Indicator to Beat Fear, Amber Hestla-Barnhart, Journal of Technical Analysis, March 13, 2015, ssrn.com
* Replicating the CBOE VIX using a synthetic volatility index trading algorithm, Dayne Cary and Gary van Vuuren, Cogent Economics & Finance, Volume 7, 2019, Issue 1, doi.org
Created By ChrisMoody on 12-26-2014...
V3 MAJOR Update on 1-05-2014
tista merged LazyBear's Black Dots filter in 2020:
Extended by Tartigradia in 10-2022:
* Can select a symbol different from current to calculate vixfix, allows to select SP:SPX to mimic the original VIX index.
* Inverse VixFix (from masa_crypto and web.archive.org)
* VixFix OHLC Bars plot
* Price / VixFix Candles plot (Pro Tip: draw trend lines to find good entry/exit points)
* Add ADX filtering, Minimaxis signals, Minimaxis filtering (from samgozman )
* Convert to pinescript v5
* Allow timeframe selection (MTF)
* Skip off days (more accurate reproduction of original VIX)
* Reorganized, cleaned up code, commented out parts, commented out or removed unused code (eg, some of the KC calculations)
* Changed default Bollinger Band settings to reduce false positives in crypto markets.
Set Index symbol to SPX, and index_current = false, and timeframe Weekly, to reproduce the original VIX as close as possible by the VIXFIX (use the Add Symbol option, because you want to plot CBOE:VIX on the same timeframe as the current chart, which may include extended session / weekends). With the Weekly timeframe, off days / extended session days should not change much, but with lower timeframes this is important, because nights and weekends can change how the graph appears and seemingly make them different because of timing misalignment when in reality they are not when properly aligned.
Tickers Info ExtensionWith the indicator you can easily evaluate or compare any ticker with the one you choose in the options.
You can choose any of the tickers I provide in the mod options to your liking :
XAU
DXY
BTC
ETH
SPX
NASDAQ
AVG Stable Dominance
AVG Stock Price
Custom
You can also select or create your own ticker if you select the Custom in Mode option.
If the Compare mode is enabled, then the current ticker you are viewing is divided by the ticker selected in the indicator (in the Mode option).
Thus, you create a new pair and can evaluate the strength of this or that asset.
For example, if you have the ticker BTCUSDT open. And the ticker XAU is selected in the Mode option in the indicator. And the Compare mode is also enabled. Then you will get a new BTCUSDT/XAU pair. That means that now you can see the bitcoin/gold ratio. (Same as EUR/USD etc.)
If the Compare option is switched off then you will see the usual ticker you choose in the Mode option. You can also see if there is a correlation between the selected pairs.
Option ' AVG STABLE.D ' = Calculated as: USDT.D + USDC.D + DAI.D
- This is the average domination of the most important Stable Coins
Option ' AVG STOCK Price ' = Calculated as: (DJI + SPX + NDQ) / 3
- This is the average price of the most important Indexes.
Auto Fibonacci Levels + Auto Trend Line generatorAnother indicator for you guys!!!
This indicator consists of the 5 key Fibonacci retracement levels, plotted automatically to user input settings. I also have included an auto support/resistance trend line generator.
What is a Fibonacci retracement?
'Fibonacci retracement is a method of technical analysis for determining support and resistance levels. It is named after the Fibonacci sequence of numbers, whose ratios provide price levels to which markets tend to retrace a portion of a move before a trend continues in the original direction.' - Wikipedia
How to use the Fibonacci retracement?
- The Fibonacci levels are default. These percentiles from price to the average of the high in a sample and low in a sample give you a guideline of where a bottom may be, where a top may be, and where a range is being created.
- Look for the price to reject from 61.8% and 76.4%, and also look for price to bounce from 38.2% and 23.6%. If a lower low/higher high is made, the fib levels will follow and the percentiles within will be recalculated after a 5 candle offset period.
- If you see price trending towards the lower percentiles (38&23) and using the 50% as resistance, look for a break downwards and vice versa.
-This Fibonacci set as all others is subject to fake-out, always use this with another series indicator, or don't use it as a signal for entry at all (unless you have a backdated strategy)
How to use the trend line generator?
-The trend line generator will only plot when a lower low/higher high has taken place within the input amount of candles. It is also offset by a user amount.
-The check box will give the option to have the trend line's plot or not.
- If you see a green/red dot it means that that will be your first coordinate for the trend line, and until the computations are complete it will give you an idea of which direction it will be in (resistance or support)
-When opening this indicator zoom out all the way to connect any trend lines that do not load automatically.
Let me know if you have any questions, suggestions or issues! Thank you everyone!
-Cheatcode1 :)
SP:SPX TVC:DXY BMFBOVESPA:EUR1! CME:BTC1! BINANCE:BTCUSDT
Rate Of Change Trend Strategy (ROC)This is very simple trend following or momentum strategy. If the price change over the past number of bars is positive, we buy. If the price change over the past number of bars is negative, we sell. This is surprisingly robust, simple, and effective especially on trendy markets such as cryptos.
Works for many markets such as:
INDEX:BTCUSD
INDEX:ETHUSD
SP:SPX
NASDAQ:NDX
NASDAQ:TSLA
Intraday Super SectorsMotivated by Cody to finish what I'd started ...
This indicator plots the two 'Super Sectors' (Cyclical and Defensive) intraday change, viz-a-viz SPX price
* for convenience, it uses the ETF's, rather than the actual sectors. This might make it 0.0001% inaccurate.
For reference:
Defensive Sectors:
XLE Energy (not always considered a true defensive sector, but I've thrown it in here for balance)
XLP Consumer Staples
XLU Utilities
XLV Health Care
Cyclical Sectors:
XLB Materials
XLC Communication Services
XLF Financials
XLI Industrials
XLK Information Technology
XLRE Real Estate
XLY Consumer Discretionary
Why the (soft) red/green cloud?
Well, the theory says is that if the Cyclical Sector is down, while the Defensive Sector is up, this isn't exactly bullish (so a soft red cloud), or if Defensive Stocks are down, while Cyclical Stocks are up, this is perhaps bullish.
Of course, if SPX is down 10%, with Defensive Stocks down 20%, and Cyclical Stocks down 5%, you might get a green cloud, but it ain't exactly a bullish sign
US Sector CorrelationsA new and interesting way to look at Breadth. As for the usefulness of it, one would have to do some proper backtesting to get a full grasp of the capabilities. This is just a concept currently. But in general, SPX holding near ATHs with very low sector correlations can be a topping indicator. SPX selling off with Correlations all very positive across each sector...can be a sign of an impending bottom. But, needs the "full bake" of proper testing and analysis versus just guessing. I like the concept and want to explore it further, and I will. This is just the start.
Gap RiderThis Indicator allows you to make statistics on the performance of any underlying on the days in which an opening gap occurs.
Specifically, the indicator was designed for "0 dte" options trades. In fact, it is possible to find parameters that give a good statistical advantage by opening a spread in the direction of the gap, creating a trade that has a risk-return ratio of 1: 1.
The indicator shows flags on the graph (green in case of gap up, red in case of gap down) and colored boxes (green in case the stock closed in the direction of the gap, red in case the stock closed in the opposite direction to the gap, yellow in the event that the stock closed at a distance that did not allow the spread in options to close in maximum loss or maximum profit, and therefore in breakeven)
The statistics panel, on the other hand, contains all the information necessary to search for parameters that give the trader a good statistical advantage.
In the settings you can filter the days of the week, only gap up or only gap down, ATR thresholds (volatility), points or minimum percentage for which a gap is taken into account, measure of the breakeven (which for options traders should represent the half the width of the spread to open), large gaps filter that takes into consideration only gaps that open out of range compared to the previous session. The Lookback parameter of course is used to set how many bars to take into account for the statistics.
Parameters and recommended strategy:
TODAY 31/08/2021 - Lookback 500 bars (2 years)
UNDERLYING: SPX
FILTERS: only Monday and Wednesday, only gap up, only gap> 0.01%
STRATEGY: exactly at opening, cover an ATM spread in the direction of the gap (example: gap up, I open a long call spread) that has the opening price as a break even, with a risk-return ratio of 1: 1 and leave it open until closing session, or set take profit at 90-95%. It is advisable to take into consideration the SPX statistics but to operate on the ES future so as to be able to open the spread a couple of minutes before the opening of the cash session and prevent the trade from "running away" due to too sudden movements of the opening. .
RESULTS:
124 Trade
70% profitable trades
30% losing trades
Max drawdown 3 trades
So assuming a spread on ES 10 points wide, each trade would gain or lose $ 250, applying the described strategy we would have in two years, investing only $ 250, a profit of $ 12500, with a max drawdown of $ 750. We would therefore have a profit of 5000%, or rather 2500% per year on the invested capital, with a drawdown of a much lower proportion of the profit ($ 750 compared to $ 6250 of annual profit).
The strategy is infinitely scalable by increasing the options contracts used and the impact of the commissions is almost zero.
MONEY MANAGEMENT: Example on a 50K account, with a spread that earns or loses $ 500, in two years it earns $ 25,000, therefore about 12500 per year, with a max drawdown of $ 1500, therefore 25% per year on the ENTIRE ACCOUNT with a maximum drawdown of 3%.
Note: the test was performed without a break even parameter, so the actual result will be more moderate, but of the same explosive nature.
** BUG STILL LOOKING FOR SOLUTION **
only in case the filters are set to take into account ONLY the gap down, the drawdown count in the statistics panel shows an incorrect result "
