VIX Reversal Scalper by Trend Friend - Stocks OnlyVIX REVERSAL SCALPER BY TREND FRIEND - STOCKS ONLY
This indicator is built for scalping, but can be used for swing trades by adjusting the signal settings to a higher number.
This indicator is meant for stocks with a lot of price action and volatility, so for best results, use it on charts that move similar to the S&P 500 or other similar charts.
This indicator uses real time data from the stock market overall, so it should only be used on stocks and will only give a few signals during after hours. It does work ok for crypto, but will not give signals when the US stock market is closed.
**HOW TO USE**
When the VIX Volatility Index trend changes direction, it will give a bull or bear signal on the chart depending on which way the VIX is now trending. Follow these when price is near support/resistance or fibonacci levels.
For more signals with earlier entries, go into settings and reduce the number. 10-100 is best for scalping. For less signals with later entries, change the number to a higher value. Use 100-500 for swing trades. Can go higher for long swing trades.
***MARKETS***
This indicator should only be used on the US stock markets as signals are given based on the VIX volatility index which measures volatility of the US Stock Markets.
***TIMEFRAMES***
This indicator works on all time frames.
**NOTE**
Repainting does happen but it is seldom. If I get enough requests to remove repainting I will, but since it is built for early entries, preventing it from repainting will make the signals show up later than normal.
Due to various factors, this indicator might not give exit signals every time it should, so be sure to watch the price action for entries/exits and don't rely solely on this indicator.
**INVERSE CHARTS**
If you are using this on an inverse ETF and the signals are showing backwards, please comment with what chart it is and I will configure the indicator to give the correct signals. I have included over 50 inverse ETFs into the code to show the correct signals on inverse charts, but I'm sure there are some that I have missed so feel free to let me know and I will update the script with the requested tickers.
***TIPS***
Try using numerous indicators of ours on your chart so you can instantly see the bullish or bearish trend of multiple indicators in real time without having to analyze the data. Some of our favorites are our Auto Fibonacci, Directional Movement Index, Volume Profile, Auto Support And Resistance and Money Flow Index in combination with this Vix Reversal Scalper. They all have real time Bullish and Bearish labels as well so you can immediately understand each indicator's trend.
In den Scripts nach "能做t++0的etf有哪些" suchen
Overnight Gap AnalysisThere is a wide range of opinion on holding positions overnight due to gap risk. So, out of curiosity, I coded this analysis as a strategy to see what the result of only holding a position overnight on an asset would be. The results really surprised me. The script backtests 10+ years, and here are the findings:
Holding a position for 1 hour bar overnight on QQQ since January 2010 results in a 545% return. QQQ's entire return holding through the same period is 643%
The max equity drawdown on holding that position overnight is lower then the buy/hold drawdown on the underlying asset.
It doesn't matter if the last bar of the day is green or red, the results are similar.
It doesn't matter if it is a bull or bear market. Filtering the script to only trade when the price is above the 200-day moving average actually reduces its return from 545% to 301%, though it does also reduce drawdown.
I see similar patterns when applying the script to other index ETFs. Applying it to leveraged index ETFs can end up beating buy/hold of the underlying index.
Since this script holds through the 1st bar of the day, this could also speak to a day-opening price pattern
The default inputs are for the script to be applied to 1 hour charts only that have 7 bars on the chart per day. You can apply it to other chart types, but must follow the instructions below for it to work properly.
What the script is doing :
This script is buying the close of the last bar of the day and closing the trade at the close of the next bar. So, all trades are being held for 1 bar. By default, the script is setup for use on a 1hr chart that has 7 bars per day. If you try to apply it to a different timeframe, you will need to adjust the count of the last bar of the day with the script input. I.e. There are 7 bars per day on an hour chart on US Stocks/ETFs, so the input is set to 7 by default.
Other ways this script can be used :
This script can also test the result of holding a position over any 1 bar in the day using that same input. For instance, on an hour chart you can input 6 on the script input, and it will model buying the close of the 6th bar of the day while selling on the close of the next bar. I used this out of curiosity to model what only holding the last bar of the day would result in. On average, you lose money on the last bar every day.
The irony here is that the root cause of this last bar of the day losing may be people selling their positions at the end of day so that they aren't exposed to overnight gap risk.
Disclaimer: This is not financial advice. Open-source scripts I publish in the community are largely meant to spark ideas that can be used as building blocks for part of a more robust trade management strategy. If you would like to implement a version of any script, I would recommend making significant additions/modifications to the strategy & risk management functions. If you don’t know how to program in Pine, then hire a Pine-coder. We can help!
MS Market Timing ModelThis script uses subtle sentiment analysis to try to reduce the risk of positioning in assets. By "assets" I mean: the QQQ ETF as a synonym for positioning in Nasdaq-100 stocks and the TLT ETF as a placeholder for US government bonds with very long maturity and that as a risk-averse alternative. The coloring of the pseudo capital curve means:
* green = 100% QQQ
* red = 100% TLT
* yellow = 50% QQQ/50% TLT
Live off your portofolio (decumulate)This indicator simulates living off your portofolio consisting of a single security or stock such as the SPY etf or even Bitcoin. The simulation starts at a certain point on the chart (which you input as year and month).
Withrawals from the portofolio are made each month according to the yearly withdrawal rate you enter, such as the 4% SWR. The monthly withdrawal income is calculated in USD at the beginning of the retirement period and then adjusted according to the US inflation (CPI) on 01/01 of each year.
The blue graph represents the USD value of the remaining portofolio.
This indicator is meant to be used on daily, weekly or monthly time frame. It may not work properly (and makes little sense to use) on intraday timeframe or larger time frames such as quarterly (3M).
When withdrawing, the indicator considers that fractional stock values can be used (the portofolio value is kept as a float). This may not be true, as most stock brokers currently don't allow this.
It does not explicitly take into account dividends. In order to do this you will have to enable "Adjust for dividends" by clicking on "adj" in the lower right corner of the screen, or by using the indicator on a Total Return (TR) index such as DAX. Unfortunately SPX does not have dividend data, you will have to use the SPY etf (which doesn't have a long history)
Moving Average and PerformanceThis indicator combines several tools that are used daily for analysis:
The performance of the action we are seeing.
The percentage of retracement the stock has made from its all time high.
Possibility of using up to four exponential or simple moving averages in the length we want.
It allows to see or not the levels of four moving averages in daily temporality.
This indicator is unique since it allows you to see in real time the performance of the Stock or ETF that is being analyzed, which allows you to make a timely decision for short, medium or long-term investments.
If you are doing scalping, swing, or intraday trading, you can see the retracement it has made from the ATH (3, 5, 10 or 13%) which can become Supports or Resistances where the price can rebound, Likewise, the levels of the moving averages in 1D temporality can be observed at the same time, which are usually dynamic supports or resistances and it can also be observed in the same temporality of the chart four moving averages that the trader can configure in the length that you deem convenient to improve your analysis and make decisions as quickly as possible.
Este indicador es único ya que permite ver en tiempo real el rendimiento de la Acción o ETF que se está analizando, lo cual permite tomar una decisión oportuna para las inversiones a corto, mediano o largo plazo.
Si se está haciendo trading tipo scalping, swing, o intradía, se puede observar el retroceso que ha hecho desde el ATH (3, 5, 10 o 13%) el cual puede convertirse en Soportes o Resistencias en donde el precio puede hacer rebotes, así mismo se pueden estar observando al mismo tiempo los niveles de las medias móviles en temporalidad de 1D, los cuales usualmente son Soportes o resistencias dinámicas y también se puede observar en la misma temporalidad del gráfico cuatro medias móviles que el trader puede configurar en la longitud que crea conveniente para mejorar su análisis y tomar decisiones lo más rápido posible.
Retroceso 3%, 5%, 20% desde ATHThe Script shows us the% retracement that an action or ETF normally makes after it reaches its ATH, it also allows us to see the EMA 8, 21 and the MA 50 that show us the trend
El Script nos muestra el % de retroceso que normalmente hace una acción o ETF después que llega a su ATH, también nos permite ver las ver las EMA 8, 21 y la MA 50 que nos muestran la tendencia
Buy in Bollinger Band uptrend (Weekly and Daily) // © PlanTradePlanMM 6/14/2020
// ---------------------------------------------------
// Name: Buy in Bollinger Band uptrend (Weekly and Daily)
// ---------------------------------------------------
// Key Points in this study:
// 1. Long in BB Upper band, probability of price going up is more than 50%
// 2. Buy at the bottom 1/4 of upper band (Upper line - EMA), Stop is EMA, tartget is Upper line; it matches risk:reward=1:3;
//
// Draw Lines:
// BB Upper : is the Target (Black line)
// BB EMA : is the initial Stop (Black line)
// BuyLine : EMA20 + 1/4 of (Target-Stop), which matches risk:/reward=1:3 naturally
// Prepare Zone : between EMA and BuyLine
// buyPrice : Blue dot line only showing when has long position, Which shows entry price.
// StopPrice : Black dot line only showing when has long position, Which shows updated stop price.
//
// Add SMA(50) to filter the trend. Price >= SMA, allow to long
//
// What (Condition): in BB uptrend band
// When (Price action): Price cross over BuyLine;
// How (Trading Plan): Buy at BuyLine;
// Initial Stop is EMA;
// Initial Target is BB Upper Line;
//
// FollowUp: if price moves up first, and the EMA is higher than Entry point, Use EMA as new stop. At least "make even" in this trade;
//
// Exit: 1. Initial stop -- "Stop" when down first, close below stop price.
// 2. Target reached -- "TR" when up quickly, Target reached
// 3. make even -- "ME" when small up and down, Exit at entry Price
// 4. Small Winner -- "SM" when EMA above Entry price, Exit when close below EMA, and higher than entry Price
//
// --------------
// Because there are too many flags in up trend study already, I will create a down trend script separately.
// Uptrend study is good for SPY, QQQ, and strong stocks.
// Downtrend Study is good for weak ETF, stock, and (-2x, -3x) ETFs, such as FAZ, UVXY, USO, XOP, AAL, CCL
// -----------------------------------------------------------------------------------------------------------------
// Back test Weekly and daily chart for SPY, QQQ
// If it will be a big Gap down or a big down move, stop at close price could be a big loss; But this way could avoid may noise, to stay in a trending position longer.
// When buy in trending move, the position could be hold for a big range.
// The best samples are SPY and QQQ daily chart.
//
// Better to use another way to verify the long term up trend first.
// For single stock, it is better shows more relative strength than SPY.
basic fixed fraction strategyOne of the most common trading strategy is to invest a certain percentage in an asset, and keep the percentage fixed. For example you invest 2% in a stock, and as the value goes up you sell. And as the value goes down you buy. Always trying to keep the value of how much you have invested in that asset at 2%.
This works very well with assets that are stable. If you have something that fluctuates around a value, you will find yourself that each time it has gone back to the value in which you entered, you have actually gained something. With an asset that grows it also works. But in general you might find that more aggressive investments are more profitable. On the other side if there is a bubble, and you invest from the beginning using this strategy you will find yourself at the end of the bubble having gained something. Not as much as having bought all at the beginning and having sold all at the end, but still you will have sold going up, and bought going down. Plus you will have gained in the fluctuation.
Where is instead very dangerous is in stock and assets that go to zero. This because you might invest just 2% in an investment. But then as the strategy works you keep investing more as you are trying to keep 2%. You basically can lose all your money in this way (like if you were invested 100% in an asset). Very dangerous. This is why you should only use this with assets that you are sure cannot go to zero (an ETF on S & P 500 could be a good example).
So I coded this strategy on TradingView. basically it will ask you what percentage you want to invest. Then starts with entering with an order of that amount, and will then keep sitself at the same percentage. The system is discrete, as it can only buy a discrete number of contract.
Note that if you use this for cryptocurrency (where you can buy a fraction of a coin, like 0.01 btc) then you should multiply the money that you have by 10, 100, 1000 ... depending on how many digits after the comma your exchange permit you to trade.
If you are using this for forex or crypto it is quite easy that the number of order will explode. As such I added the date range taken from Allanster great script
One way to use Fixed Fractioning is to calculate the Kelly Index of an asset (which will give you a percentage), and then invest half or a quarter of the kelly in that coin, and then keep this fixed.
Another way (which goes well beyond what this script can do alone) to use the Fixed Fractioning is, if you have two assets that are anticorrelated (has a negative correlation), then investing a certain percentage of your capital in one and another percentage in another. And then each time one goes up (and the other goes down) you sell the one that is going up, and buy the one that is going down to keep the percentages fixed.
Something else, it is pretty common for people to invest around 80% of their money in an ETF that follows tha S&P500. This is why here we use 80%. Generally I have seen a more common investment strategy to be around 2%.
As everybody says: I am not responsible for your money. Study before investing.
Recovery StrategyDescription:
The Recovery Strategy is a long-only trading system designed to capitalize on significant price drops from recent highs. It enters a position when the price falls 10% or more from the highest high over a 6-month lookback period and adds positions on further 2% drops, up to a maximum of 5 positions. Each trade is held for 6 months before exiting, regardless of profit or loss. The strategy uses margin to amplify position sizes, with a default leverage of 5:1 (20% margin requirement). All key parameters are customizable via inputs, allowing flexibility for different assets and timeframes. Visual markers indicate recent highs for reference.
How It Works:
Entry: Buys when the closing price drops 10% or more from the recent high (highest high in the lookback period, default 126 bars ~6 months). If already in a position, additional buys occur on further 2% drops (e.g., 12%, 14%, 16%, 18%), up to 5 positions (pyramiding).
Exit: Each trade exits after its own holding period (default 126 bars ~6 months), regardless of profit or loss. No stop loss or take-profit is used.
Margin: Uses leverage to control larger positions (default 20% margin, 5:1 leverage). The order size is a percentage of equity (default 100%), adjustable via inputs.
Visualization: Displays blue markers (without text) at new recent highs to highlight reference levels.
Inputs:
Lookback Period for High Peak (bars): Number of bars to look back for the recent high (default: 126, ~6 months on daily charts).
Initial Drop Percentage to Buy (%): Percentage drop from recent high to trigger the first buy (default: 10.0%).
Additional Drop Percentage to Buy (%): Further drop percentage to add positions (default: 2.0%).
Holding Period (bars): Number of bars to hold each position before selling (default: 126, ~6 months).
Order Size (% of Equity): Percentage of equity used per trade (default: 100%).
Margin for Long Positions (%): Percentage of position value covered by equity (default: 20%, equivalent to 5:1 leverage).
Usage:
Timeframe: Designed for daily charts (126 bars ~6 months). Adjust Lookback Period and Holding Period for other timeframes (e.g., 1008 hours for hourly charts, assuming 8 trading hours/day).
Assets: Suitable for stocks, ETFs, or other assets with significant price volatility. Test thoroughly on your chosen asset.
Settings: Customize inputs in the strategy settings to match your risk tolerance and market conditions. For example, lower Margin for Long Positions (e.g., to 10% for 10:1 leverage) to increase position sizes, but beware of higher risk.
Backtesting: Use TradingView’s Strategy Tester to evaluate performance. Check the “List of Trades” for skipped trades due to insufficient equity or margin requirements.
Risks and Considerations:
No Stop Loss: The strategy holds trades for the full 6 months without a stop loss, exposing it to significant drawdowns in prolonged downtrends.
Margin Risk: Leverage (default 5:1) amplifies both profits and losses. Ensure sufficient equity to cover margin requirements to avoid skipped trades or simulated margin calls.
Pyramiding: Up to 5 positions can be open simultaneously, increasing exposure. Adjust pyramiding in the code if fewer positions are desired (e.g., change to pyramiding=3).
Market Conditions: Performance depends on price drops and recoveries. Test on historical data to assess effectiveness in your market.
Broker Emulator: TradingView’s paper trading simulates margin but does not execute real margin trading. Results may differ in live trading due to broker-specific margin rules.
How to Use:
Add the strategy to your chart in TradingView.
Adjust input parameters in the settings panel to suit your asset, timeframe, and risk preferences.
Run a backtest in the Strategy Tester to evaluate performance.
Monitor open positions and margin levels in the Trading Panel to manage risk.
For live trading, consult your broker’s margin requirements and leverage policies, as TradingView’s simulation may not match real-world conditions.
Disclaimer:
This strategy is for educational purposes only and does not constitute financial advice. Trading involves significant risk, especially with leverage and no stop loss. Always backtest thoroughly and consult a financial advisor before using any strategy in live trading.
Fear & Greed [theUltimator5]This indicator attempts to replicate CNN's Fear & Greed Index methodology to measure market sentiment on a scale from 0-100. It combines seven key market components into a single sentiment score, where lower values indicate fear and higher values indicate greed.
Note: It is impossible to perfectly replicate the true Fear & Greed indicator due to data limitations, so this indicator attempts to best replicate the output for each of the (7) components using available data.
The uniqueness of this indicator comes from the calculation methods for the 7 components as well as the visual representation of the data, which includes a table and selectable plots for each of the 7 components which make up the overall sentiment. Existing variants of the Fear & Greed Index have substantial flaws in the calculations of several of the components which result in warped final sentiment numbers. This indicator attempts to better track all 7 components and provide a closer model to the actual Fear & Greed index.
Here are the seven components and a brief description of how each are calculated:
1. Market Momentum
Calculation: S&P 500 current price vs. 125-day moving average
Measures how far the market has moved from its long-term trend
Uses CNN-style Z-score normalization over 252 trading days
Higher values indicate strong upward momentum (greed)
Lower values suggest declining momentum (fear)
2. Stock Strength
Calculation: S&P 500 RSI scaled to 252-day range
Uses 14-period RSI of the S&P 500 index
Normalizes RSI values based on their 252-day minimum and maximum
Measures overbought/oversold conditions relative to recent history
Higher values indicate overbought conditions (greed)
Lower values suggest oversold conditions (fear)
3. Price Breadth
Calculation: Modified McClellan Oscillator
Primary: Uses NYSE advancing vs. declining issues with 7-day smoothing
Fallback: Compares sector performance (QQQ, IWM vs. SPY)
Measures how many stocks participate in market moves
Broader participation indicates healthier trends
Narrow breadth suggests selective or weak trends
4. Put/Call Ratio
Calculation: Inverted CBOE Put/Call ratios
Primary: CBOE Equity-only Put/Call ratio (more sensitive)
Fallback: CBOE Total Put/Call ratio
Uses 5-day average and applies CNN normalization
Higher put/call ratios indicate fear (inverted to lower scores)
Lower put/call ratios suggest complacency (higher scores)
5. Market Volatility
Calculation: VIX relative to its 50-day average
Compares current VIX level to its 50-day moving average
Measures deviation from normal volatility expectations
Higher VIX relative to average indicates fear (lower scores)
Lower relative VIX suggests complacency (higher scores)
6. Safe Haven Demand
Calculation: Stock returns vs. bond yield changes
Compares 20-day smoothed S&P 500 returns to Treasury yield changes
When stocks outperform bonds, indicates risk appetite (higher scores)
When bonds outperform stocks, suggests risk aversion (lower scores)
Uses Treasury 10-year yields as the safe haven benchmark
7. Junk Bond Demand
Calculation: High-yield bond spread analysis
Measures yield spread between junk bonds (JNK ETF) and Treasuries
Compares current spread to its 5-day average
Narrowing spreads indicate risk appetite (higher scores)
Widening spreads suggest risk aversion (lower scores)
The combined sentiment is plotted as a single line which changes color based on the current sentiment value.
0-25: Extreme Fear (Red) - Market panic, oversold conditions
26-45: Fear (Orange) - Cautious sentiment, bearish bias
46-55: Neutral (Yellow) - Balanced market sentiment
56-75: Greed (Light Green) - Optimistic sentiment, bullish bias
76-100: Extreme Greed (Green) - Market euphoria, potentially overbought
There are dashed lines to represent the threshold values for each of the sentiments to better visualize transitions.
The table displays each of the (7) components of the index and their respective values. The table can be toggled on/off and the position can be moved.
An optional secondary line can be toggled on to display (1) of the (7) components as a unique color and the component name and value will highlight on the table. The secondary line can be used to dig into the main driving forces behind the overall index value.
Real-Time FTFC Dashboard (Styled)Full Time Frame Continuity dashboard that monitors real-time market direction across multiple timeframes for any stock, ETF, or index. Uses green, red, and pause emojis to visually indicate bullish, bearish, or inactive periods, helping traders quickly assess overall market alignment.
200 SMA (5%/-3% Buffer) for SPY & QQQ In my testing TQQQ is an absolute monster of an ETF that performs extremely well even from a buy and hold standpoint over long periods of time, its largest drawback is the massive drawdown exposure that it faces which can be easily sidestepped with this strategy.
This strategy is meant to basically abuse TQQQ's insane outperformance while augmenting the typical 200SMA strategy in a way that uses all of its strengths while avoiding getting whipsawed in sideways markets.
The strategy BUYS when price crosses 5% over the 200SMA and then SELLS when price drops 3% below the 200SMA. Between trades I'll be parking my entire account in SGOV.
So maximizing profit while minimizing risk.
You use the strategy based off of QQQ and then make the trades on TQQQ when it tells you to BUY/SELL.
Here are some reasons why I will be using this strategy:
Simple emotionless BUY and SELL signals where I don't care who the president is, what is happening in the world, who is bombing who, who the leadership team is, no attachment to individual companies and diversified across the NASDAQ.
~85% win percentage and when it does lose the loses are nothing compared to the wins and after a loss you're basically set up for a massive win in the next trade.
Max drawdown of around 53% when using TQQQ
You benefit massively when the market is doing well and when there is a recession you basically sit in SGOV for a year and then are set up for a monster recovery with a clear easy BUY signal. So as long as you're patient you win regardless of what happens.
The trades are often very long term resulting in you taking advantage of Long Term Capital Gains tax advantage which could mean saving up to 15-20% in taxes.
With only a few trades you can spend time doing other stuff and don't have to track or pay attention to anything that is happening.
Simple, easy, and massively profitable.
Options Strategy V1.3📈 Options Strategy V1.3 — EMA Crossover + RSI + ATR + Opening Range
Overview:
This strategy is designed for short-term directional trades on large-cap stocks or ETFs, especially when trading options. It combines classic trend-following signals with momentum confirmation, volatility-based risk management, and session timing filters to help identify high-probability entries with predefined stop-loss and profit targets.
🔍 Strategy Components:
EMA Crossover (Fast/Slow)
Entry signals are triggered by the crossover of a short EMA above or below a long EMA — a traditional trend-following method to detect shifts in momentum.
RSI Filter
RSI confirms the signal by avoiding entries in overbought/oversold zones unless certain momentum conditions are met.
Long entry requires RSI ≥ Long Threshold
Short entry requires RSI ≤ Short Threshold
ATR-Based SL & TP
Stop-loss is set dynamically as a multiple of ATR below (long) or above (short) the entry price.
Take-profit is placed as a ratio (TP/SL) of the stop distance, ensuring consistent reward/risk structure.
Opening Range Filter (Optional)
If enabled, the strategy only triggers trades after price breaks out of the 09:30–09:45 EST range, ensuring participation in directional moves.
Session Filters
No trades from 04:00 to 09:30 and from 16:00 to 20:00 EST, avoiding low-liquidity periods.
All open trades are closed at 15:55 EST, to avoid overnight risk or expiration issues for options.
⚙️ Built-in Presets:
You can choose one of the built-in ticker-specific presets for optimal conditions:
Ticker EMAs RSI (Long/Short) ATR SL×ATR TP/SL
SPY 8/28 56 / 26 14 1.4× 4.0×
TSLA 23/27 56 / 33 13 1.4× 3.6×
AAPL 6/13 61 / 26 23 1.4× 2.1×
MSFT 25/32 54 / 26 14 1.2× 2.2×
META 25/32 53 / 26 17 1.8× 2.3×
AMZN 28/32 55 / 25 16 1.8× 2.3×
You can also choose "Custom" to fully configure all parameters to your own market and strategy preferences.
📌 Best Use Case:
This strategy is especially suited for intraday options trading, where timing and risk control are critical. It works best on liquid tickers with strong trends or clear breakout behavior.
Mongoose Conflict Risk Radar v1.1 (Separate Panel) description
The Mongoose Capital: Risk Rotation Index is a macro market sentiment tool designed to detect elevated risk conditions by aggregating signals across key asset classes.
This script evaluates trend strength across 8 ETFs representing major risk-on and risk-off flows:
GLD – Gold
VIXY – Volatility
TLT – Long-Term Bonds
SPY – S&P 500
UUP – U.S. Dollar Index
EEM – Emerging Markets
SLV – Silver
FXI – China Large-Cap
Each asset is assigned a binary signal based on price position vs. its 21-period SMA (or a crossover for bonds). The signals are then totaled into a composite Risk Rotation Score, plotted as a bar graph.
How to Use
0–2 = Low risk-on behavior
3–4 = Caution / Mixed regime
5–8 = Elevated conflict or macro stress
Use this as a macro confirmation layer for trend entries, risk reduction, or allocation shifts.
Alerts
Set alerts when the index exceeds 5 to track major rotations into defensive assets.
Out of the Noise Intraday Strategy with VWAP [YuL]This is my (naive) implementation of "Beat the Market An Effective Intraday Momentum Strategy for S&P500 ETF (SPY)" paper by Carlo Zarattini, Andrew Aziz, Andrea Barbon, so the credit goes to them.
It is supposed to run on SPY on 30-minute timeframe, there may be issues on other timeframes.
I've used settings that were used by the authors in the original paper to keep it close to the publication, but I understand that they are very aggressive and probably shouldn't be used like that.
Results are good, but not as good as they are stated in the paper (unsurprisingly?): returns are smaller and Sharpe is very low (which is actually weird given the returns and drawdown ratio), there are also margin calls if you enable margin check (and you should).
I have my own ideas of improvements which I will probably implement separately to keep this clean.
Options Betting Range - FixedOptions Betting Range
Options Betting Range is a powerful TradingView indicator designed to streamline options trading by visualizing high-probability price ranges for key symbols. With automated trendlines and clear labels, it empowers traders to make precise, data-driven decisions based on customizable prediction and execution dates.
## Key Features
Broad S&P 500 Coverage: Supports most S&P 500 stock symbols, excluding those with insufficient options volume for reliable data, alongside major ETFs and indices like SPY, IWM, QQQ, DIA, TLT, ^GSPC, ^IXIC, ^RUT, ^NDX, and ^SOX.
Automated Trendlines: Plots dashed and solid trendlines to mark high/low price boundaries, triggered only on specified prediction dates for clean, uncluttered charts.
Customizable Inputs: Configure prediction and execution dates to align with your trading strategy.
Clear Visuals: Color-coded labels (green for highs, purple for lows) display price ranges and percentage spreads for rapid decision-making.
Single-Execution Logic: Draws trendlines once per prediction date, ensuring chart clarity and efficiency.
## How It Works
Based on the latest daily open interest data, the indicator calculates swing ranges for different strike dates, drawing trendlines and labels to visualize potential price boundaries for options trading.
## Why Use It?
Streamlined Analysis: Automates range visualization, saving time and reducing manual charting.
Strategic Clarity: Objective price levels minimize emotional bias and enhance trade planning.
Versatile Application: Ideal for day traders, swing traders, and options strategists across multiple markets.
## Tips for Best Use
Regular Updates: To maintain the accuracy of options betting ranges, periodically update the indicator. On the view page, hover over the indicator name and click the blue whirlwind icon to complete the update.
## Get Started
Add Options Betting Range to your TradingView chart, select a supported symbol, and customize your prediction/execution dates. Leverage the visualized price ranges to execute precise options trading strategies with confidence.
Period High/Low Percentage DifferenceCheck for price away from 200 days high/low and from recent high and low. Found it difficult to keep switching from regular to percentage in chart. I use it for ETF investing.
Sector Relative StrengthDescription
This script compares sector performance relative to the S&P 500. Sector price levels or charts alone can mislead, because they tend to move with the broader market. An increase in a sector’s price does not necessarily indicate strength, as it may simply be following the index.
For more a more reliable picture, the script calculates a ratio between each sector ETF and SPY. If the ratio has increased, the sector has outperformed the index. In case it has declined, the sector has underperformed. If the value is near zero, the sector has moved in line with the index. The sectors are presented in a table and sorted on relative performance.
Calculation Method
The performance is expressed as a percentage change in the ratio over a user-defined lookback period. The default lookback is set to 21 bars, which corresponds to one month on a daily chart. This value can be adopted in the settings to match preferred time period.
Z-Score
In addition to the percentage change, the script calculates a Z-score of the ratio, which measures how far the current value deviates from its recent mean. A high positive Z-score indicates that the ratio is significantly above its average, while a negative value indicates it is below. This normalization allows for comparison between sectors with different price levels or volatility profiles.
Table Columns
- Relative %: The sector's performance relative to SPY over the selected lookback period
- Z-Score: Standardized measure of current performance ratio is relative to its average
- Trend Arrow: Indicates the direction of relative performance up down or flat
Example Interpretation
For example, if XLK shows a 3.7% change, it has outperformed SPY over the selected period. Another sector might show a -2.1% change, which indicates underperformance. While both values shows relative strength or weakness, the Z-score is optional and can provide additional context based on how unusual that performance is compared to the sector's own recent behavior.
Use Case
This approach helps evaluate overall market conditions and supports a top-down method. By starting with sector performance, it becomes easier to identify where the market is showing leadership or weakness. This allows the stock selection process to be more deliberate and can help refine or customize screeners based on certain sectors.
SPY Trend-Based Buy Signals🔹 Overview
This indicator identifies potential buy signals on any asset by combining MACD and Stochastic Oscillator crossovers, while using the SPY’s trend (via exponential moving averages) as a broader market filter.
It helps traders stay aligned with macro momentum and avoid counter-trend entries.
🔍 How it works
SPY Trend Filter (Daily Timeframe):
Pulls SPY (S&P 500 ETF) data using EMAs (5, 20, 80)
Categorizes SPY market trend with color codes:
🟢 Green: Strong uptrend (EMA5 > EMA20 > EMA80)
🟡 Yellow: Potential uptrend / early momentum (EMA5 < EMA20 > EMA80)
🔴 Red: Downtrend (EMA5 < EMA20 < EMA80)
🔵 Blue: Possible trend reversal or mixed trend (EMA5 > EMA20 < EMA80)
Buy Signal Conditions (Combined Logic):
A signal is only triggered when:
- SPY trend is either yellow or blue (indicating a neutral-to-bullish or early recovery environment)
-The Stochastic Oscillator's %D line is below 50, showing possible upside
- A bullish MACD crossover occurs on the current symbol
🟢 Green signal: MACD crossover occurs below 0 (early reversal)
🟠 Orange signal: MACD crossover occurs above 0 (momentum continuation)
📈 Visual Output
🟢 Green label below the bar when an early reversal setup occurs
🟠 Orange label above the bar when a trend continuation signal appears
✅ Best Use Case
Ideal for:
Swing traders and position traders
LEAPS (long-term options) traders aligning entries with SPY trend
Anyone seeking clean, contextual entries filtered by market momentum
⚠️ Note: This indicator is most effective when used on fundamentally strong stocks that are sector leaders with solid earnings growth and market presence. Use technical signals as a complement to quality fundamentals.
ℹ️ Clarification: The moving averages displayed on the chart (e.g., on QQQ) are for visual reference only, to help users understand the color logic of the SPY trend filter. The actual logic and signals are based on SPY’s moving averages, regardless of the charted symbol.
Retirement Portfolio Dashboard1. Set It Up
Paste the script into the Pine Script editor in TradingView
Add to chart (use a daily chart for any TSX ticker)
Configure the inputs on the right panel:
Choose your ETF tickers (default: VFV, XAW, XIC)
Enter your target allocations (U.S., Global, Canada, Cash)
Set your current portfolio value and contribution plan
Adjust your expected return and rebalance trigger
📊 2. What It Tracks
💼 Allocation Overview
Target vs. actual % for each asset class
CAD value of each component
Performance YTD based on Jan 2nd start
Drift % to see how far each asset has deviated
📈 Growth Forecast
Future value projection with contributions
Weighted return (based on typical historical returns)
Inflation-adjusted real return (assuming 2% inflation)
⚠ Rebalancing
If any drift exceeds your set threshold (e.g., 5%), the script:
Highlights the issue in red
Displays "⚠ Rebalance Suggested"
Triggers a TradingView alert if you've activated it
🔔 3. Set Up Alerts
Go to Alerts > Create Alert
Choose your script from the dropdown
Under Condition, select "Rebalance Alert"
Choose your desired alert type (popup, email, webhook, etc.)
✅ 4. How to Use It Effectively
Task What to Do
Monitor allocations Check dashboard weekly or monthly
Spot imbalances Use Drift % and Status (green/red)
Forecast retirement growth Adjust contributions, return rate, and horizon
Prepare to rebalance Use alerts when drift > threshold
Tune assumptions Change expected returns or inflation rate as needed
💡 Tips
You can edit return assumptions (e.g., make Global equity more conservative)
Use this on a “blank” ticker (like TSX:XIC) so you don't overlay the chart
Copy values from your broker or retirement account to update real allocations
Bottom and Top finder [theUltimator5]🧭 Bottom and Top Finder — Multi-Symbol Momentum Divergence Detector
The Bottom and Top Finder by theUltimator5 is a highly configurable, momentum-based indicator designed to identify potential market reversal points using a multi-symbol relative strength comparison framework. It evaluates Directional Movement Index (DMI) values from up to three correlated or macro-influential assets to determine when the current instrument may be approaching a bottom (oversold exhaustion) or a top (overbought exhaustion).
🧠 How It Works
This script computes both the +DI (positive directional index) and -DI (negative directional index) for:
The currently selected chart symbol
Up to three user-defined reference symbols (e.g., sector leaders, macro ETFs, currencies, volatility proxies)
It uses a logarithmic percent-change approach to normalize all movement metrics, ensuring results are scale-invariant and price-neutral — meaning it works consistently whether a stock trades at $1 or $100,000. This makes the comparison between different assets meaningful, even if they trade on different scales or volatility levels.
The indicator then:
Compares the +DI values of the reference symbols to the current symbol’s +DI → seeking bottoming signals (suggesting the current symbol is unusually weak).
Compares the -DI values of the reference symbols to the current symbol’s -DI → seeking topping signals (suggesting the current symbol is unusually strong on the downside).
These comparisons are aggregated using a weighted average, where you control the influence (multiplier) of each reference symbol.
🔁 Trigger Logic
The indicator generates two dynamic lines:
Bot Line (Bottom Line): Based on reference +DI vs. current +DI
Top Line: Based on reference -DI vs. current -DI
If the Bot Line rises above the user-defined threshold, it may signal that capitulation or oversold conditions are developing. Similarly, if the Top Line rises above its threshold, it may indicate a blow-off top or overbought selling pressure.
To avoid false positives, a second smoothing-based condition must also be met:
The line must significantly exceed its moving average, confirming momentum divergence.
When both conditions are true, the indicator highlights the background in light red (bottom alert) or green (top alert) for easy visual scanning.
🔧 Key Inputs & Customization
You can fine-tune this tool using the following parameters:
Smoothing Length: Controls how smooth or sensitive the DI values are.
Reference Symbols: Up to 3 assets (default: RSP, HYG, DXY) — customizable for sector, macro, or inverse relationships.
Influence Multipliers: Adjust the weight each symbol has on the overall signal.
Display Options:
Toggle to highlight the chart background during trigger conditions.
Toggle to display a real-time table of reference symbols and their influence levels.
📈 Visual Output
Two plotted lines: One for bottoms and one for tops
Dynamically colored based on how far they exceed thresholds
Background highlights to mark trigger zones
Optional table displaying the current reference symbol setup and weights
🛠 Best Use Cases
This tool is ideal for:
Identifying short-term tops or bottoms using momentum exhaustion
Spotting divergences between an asset and broader market or sector health
Macro analysis with assets like SPY, QQQ, GME, MSFT, BTC, etc...
Pair trading signals or market breadth confirmation/disagreement
It complements other technical indicators like RSI, MACD, Bollinger Bands, or price structure patterns (double bottoms/tops, etc.)
HBND ReferenceChart the HBND as an index based on weighting found on the HBND Etf website. For best results display the adjusted close since HBND is a high yielding fund. The weightings have to be updated manually.
There are three display options:
1. Normalize the index relative to the symbol on the chart (presumably HBND) and this is the default.
2. Percentage change relative to the first bar of the index
3. The raw value which will be the tlt price * tlt percentage weighting + vglt price * vglt percentage weighting + edv percentage weighting * edv price.
[SHORT ONLY] Internal Bar Strength (IBS) Mean Reversion Strategy█ STRATEGY DESCRIPTION
The "Internal Bar Strength (IBS) Strategy" is a mean-reversion strategy designed to identify trading opportunities based on the closing price's position within the daily price range. It enters a short position when the IBS indicates overbought conditions and exits when the IBS reaches oversold levels. This strategy is Short-Only and was designed to be used on the Daily timeframe for Stocks and ETFs.
█ WHAT IS INTERNAL BAR STRENGTH (IBS)?
Internal Bar Strength (IBS) measures where the closing price falls within the high-low range of a bar. It is calculated as:
IBS = (Close - Low) / (High - Low)
- Low IBS (≤ 0.2) : Indicates the close is near the bar's low, suggesting oversold conditions.
- High IBS (≥ 0.8) : Indicates the close is near the bar's high, suggesting overbought conditions.
█ SIGNAL GENERATION
1. SHORT ENTRY
A Short Signal is triggered when:
The IBS value rises to or above the Upper Threshold (default: 0.9).
The Closing price is greater than the previous bars High (close>high ).
The signal occurs within the specified time window (between `Start Time` and `End Time`).
2. EXIT CONDITION
An exit Signal is generated when the IBS value drops to or below the Lower Threshold (default: 0.3). This prompts the strategy to exit the position.
█ ADDITIONAL SETTINGS
Upper Threshold: The IBS level at which the strategy enters trades. Default is 0.9.
Lower Threshold: The IBS level at which the strategy exits short positions. Default is 0.3.
Start Time and End Time: The time window during which the strategy is allowed to execute trades.
█ PERFORMANCE OVERVIEW
This strategy is designed for Stocks and ETFs markets and performs best when prices frequently revert to the mean.
The strategy can be optimized further using additional conditions such as using volume or volatility filters.
It is sensitive to extreme IBS values, which help identify potential reversals.
Backtesting results should be analyzed to optimize the Upper/Lower Thresholds for specific instruments and market conditions.
