SPY SPX ES Price Converter+ [Pt]This is a + version of my original SPY SPX ES Price Converter indicator
Description
The SPY SPX ES Price Converter is a powerful and easy-to-use tool that allows traders to view corresponding price levels for linked instruments in real-time. This includes SPY, SPX, ES, and SPX500USD. Although these instruments often move in sync, differences in price movements, volume, and trading hours can create unique key levels and support/resistance areas for each. By mapping these levels on the same chart, traders can more easily spot trading opportunities and improve their chances of success.
Customizable features
- multiplier from the closest whole number price level
- line color
- line style
- label position / size
- # of levels to display
- toggle current price display table
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This script includes the following premium unique features.
SPY / SPX Gaps detector
A gap is an area on a chart where the price between two bars changes significantly without any trades happening between them. Such gaps often occur when a strong shift in sentiment happens during the hours when markets are usually closed. This indicator highlights these gaps on the chart and extends them further until they have been covered (i.e., when a newer bar has crossed that gap).
Overnight gaps from SPY or SPX can be mapped directly onto ES chart
VWAPs
VWAPs of these linked instruments can be mapped onto the chart. For example, ES VWAP mapped onto SPY chart, or vise versa. This allows for clear visualization of the price action near these VWAP levels.
Custom Cross Instruments Price Targets
Want to trade SPY options while watching ES chart or vise versa? You can setup to 8 price targets and see the corresponding converted price level. No need to switch between charts to try to figure out which price level corresponds to which.
Harga Rata-Rata Terbebani Volume / Volume Weighted Average Price (VWAP)
VWAP+15EMA with RSIVWAP+EMA+RSI Strategy for the group MelléCasH
This strategy will enter a long position when the closing price is above both the VWAP and the 15 EMA, and the RSI is above the specified overbought level. It will exit the position when the price falls by the specified stop loss percentage, rises by the specified take profit percentage, or when the trailing stop loss (which trails the highest price achieved after the position was entered by the specified percentage) is hit. The VWAP, EMA, and RSI indicators are also plotted on the chart for reference.
Moonhub IndexMoonhub Index combines several popular technical indicators to create an aggregated index that aims to give a clearer overall picture of the market. The index takes into account the current market condition (trending, ranging, or volatile) to adjust its calculations accordingly.
The indicators used in this composite index are:
Hull Moving Average (HMA)
Fisher Transform (FT)
Williams Alligator
Moving Average Convergence Divergence (MACD)
Average True Range (ATR)
On-Balance Volume (OBV)
Money Flow Index (MFI)
Accumulation/Distribution (AD)
Pivot Points
True Strength Index (TSI)
Volume-Weighted Average Price (VWAP)
The script calculates the values of each indicator and then normalizes and weighs them according to predefined weights. The composite index is formed by summing the weighted values of each indicator. The final Moon Index is plotted on the chart, along with several other related lines like the exponential moving averages (EMA) and simple moving averages (SMA) of the index.
This custom index can be used by traders to get a more comprehensive view of the market and make better-informed trading decisions based on the combined insights of multiple indicators.
VWAP Breakout Strategy (Momentum, Vol, VWAP, RSI, TrSL)General Description and Unique Features of this Script
Introducing the VWAP Breakout Trading Algorithm for TradingView – the timeless strategy designed to identify the highest probability entries and trades for all financial securities and timeframes.
Unlike other strategies, the VWAP Breakout Strategy considers the buying/selling pressure in the market and supply/demand balance to generate real-time trading signals. The Relative Strength Index (RSI) is used as a technical measure to capture typical breakouts from consolidation periods and pullback entries.
With flexible backtesting options, traders can improve parameter settings depending on their time horizon and the type of financial securities being used. Plus, this pro-version of the VWAP Breakout Strategy offers stop-loss, take-profit, and trailing stop-loss exit strategies for better risk management.
The VWAP Breakout Strategy combines a number of technical indicators, the Moving Average (MA), the Volume Weighted Average Price (VWAP) and the RSI-qualifier to identify potential trend reversals and entry/exit points in the market. The VWAP Breakout Strategy can be used in conjunction with other technical indicators and fundamental analysis to make more informed trading decisions.
To further optimize trading results, this strategy generates trading signals based on real-time price action, rather than relying on the close / open of candles.
The VWAP Breakout Strategy
One important qualifier for generating buy signals is that the stock or other financial security is not in a short-term overbought status (for long-positions), or in a short-term oversold status (for short-positions), respectively.
Additionally, the stock or other financial security needs to go through a consolidation period before buy signals are being generated.
The RSI-indicator is being used as a technical measure in this strategy for that.
• Using moderate parameters for the RSI-qualifier (oversold-level 40 or higher, overbought level 60 or lower) will capture more typical breakouts from consolidation periods.
• Using more extreme parameters for the RSI-qualifier (oversold-level 35 or lower, overbought level 65 or higher) will capture the so-called pullback entries.
Long Entries
When the selling pressure is over and the continuation of the uptrend can be confirmed by the MA / VWAP crossover after reaching a price low, a buy signal is issued by this strategy.
Short Entries
When the byuing pressure is over and the continuation of the downtrend can be confirmed by the MA / VWAP crossover after reaching a price high, a sell signal is issued by this strategy.
Timeless Strategy
The underlying principles of this strategy are based on the buying- / selling pressure in the market as well as the supply and demand balance. The buying / selling volumes are being considered for the generation of trading signals. These sophisticated market principles make this strategy timeless which means it can be applied to 1min-charts, weekly charts as well as anything between those.
Generation of Trading Signals
Real-time process are considered for this pro-version of the VWAP Breakout Strategy. This is another benefit versus many other strategies which only consider the close or open of the canldes for trading signals:
Exit Strategies
This pro-version offers the following exit strategies:
• Stop-Loss
• Take-Profit
• Trailing Stop-Loss
The trailing SL functionality provides another benefit versus most other trading strategies resulting in significantly backtesting- and real-time trading results.
Trades will also be closed when an opposite trading signal is being generated (only applicable for combined long/short strategies).
Flexible Backtesting Option
The strategy offers fully flexible backtesting options to improve the parameter setting strategy, depending on time horizon and type of financial securities being used.
Relative Strength Index (RSI)
The Relative Strength Index (RSI) is a technical indicator developed by Welles Wilder in 1978. The RSI is used to perform a market value analysis and identify the strength of a trend as well as overbought and oversold conditions. The indicator is calculated on a scale from 0 to 100 and shows how much an asset has risen or fallen relative to its own price in recent periods.
The RSI is calculated as the ratio of average profits to average losses over a certain period of time. A high value of the RSI indicates an overbought situation, while a low value indicates an oversold situation. Typically, a value > 70 is considered an overbought threshold and a value < 30 is considered an oversold threshold. A value above 70 signals that a single value may be overvalued and a decrease in price is likely , while a value below 30 signals that a single value may be undervalued and an increase in price is likely.
For example, let's say you're watching a stock XYZ. After a prolonged falling movement, the RSI value of this stock has fallen to 26. This means that the stock is oversold and that it is time for a potential recovery. Therefore, a trader might decide to buy this stock in the hope that it will rise again soon.
The MA / VWAP Crossover Trading Strategy
This strategy combines two popular technical indicators: the Moving Average (MA) and the Volume Weighted Average Price (VWAP). The MA VWAP crossover strategy is used to identify potential trend reversals and entry/exit points in the market.
The VWAP is calculated by taking the average price of an asset for a given period, weighted by the volume traded at each price level. The MA, on the other hand, is calculated by taking the average price of an asset over a specified number of periods. When the MA crosses above the VWAP, it suggests that buying pressure is increasing, and it may be a good time to enter a long position. When the MA crosses below the VWAP, it suggests that selling pressure is increasing, and it may be a good time to exit a long position or enter a short position.
Traders typically use the MA VWAP crossover strategy in conjunction with other technical indicators and fundamental analysis to make more informed trading decisions. As with any trading strategy, it is important to carefully consider the risks and potential rewards before making any trades.
This strategy is applicable to all timeframes and the relevant parameters for the underlying indicators (RSI and MA/VWAP) can be adjusted and optimized as needed.
Backtesting Results
Backtesting gives outstanding results on all timeframes and drawdowns can be reduced to a minimum level. In this example, the hourly chart for MCFT has been used.
Settings for backtesting are:
- Period from April 2020 until April 2021 (1 yr)
- Starting capital 100k USD
- Position size = 25% of equity
- 0.01% commission = USD 2.50.- per Trade
- Slippage = 2 ticks
Other comments
• This strategy has been designed to identify the most promising, highest probability entries and trades for each stock or other financial security.
• The RSI qualifier is highly selective and filters out the most promising swing-trading entries. As a result, you will normally only find a low number of trades for each stock or other financial security per year in case you apply this strategy for the daily charts. Shorter timeframes will result in a higher number of trades / year.
• As a result, traders need to apply this strategy for a full watchlist rather than just one financial security.
Percent of U.S. Stocks Above VWAPThis indicator plots a line reflecting the percentage of all U.S. stocks above or below their VWAP for the given candle. Horizontal lines have been placed at 40% (oversold), 50% (mid-line), and 60% (overbought). I recommend using this indicator as a market breadth indicator when trading individual stocks. In my experience, this indicator is best utilized while trading the major indices (SPX, SPY, QQQ, IWM) or their futures (ES, NQ, RTY) in the following manner:
- When the line crosses 50%, a green or red triangle is plotted indicating the majority of market momentum has turned bullish or bearish based on price positioning vs. VWAP. Look for longs when the line is rising (green) or above 50%, or shorts when the line is falling (red) or below 50%.
- When the line is below 40%, indicator shows red shading; I would not be long anything during this period. When the line exits this level, I begin looking for long entries. This line is adjustable in the indicator settings if you prefer to use a tighter or looser oversold level.
- When the line is above 60%, indicator shows green shading; I would not be short anything during this period. When the line exits this level, I begin looking for short entries. This line is adjustable in the indicator settings if you prefer to use a tighter or looser overbought level.
This indicator uses the TradingView ticker “PCTABOVEVWAP.US”, thus it only updates during NY market hours. If trading futures, I recommend applying VWAP to your chart and using that as the level to trade against in a similar manner, along with your personal price action analysis and other indicators you find useful.
[Hoss] VWAP ADThe VWAP ( Volume Weighted Average Price ) Deviation script is a powerful tool designed for traders to analyze the relationship between price and volume . By calculating deviations around the VWAP , the script allows users to identify key support and resistance levels that can help in making better-informed trading decisions.
The script calculates VWAP based on the chosen data source (default is closing price) and then computes deviations above and below the VWAP using either the Average Deviation or the Standard Deviation method. The user can select the desired method through the script's input options. These deviations are then plotted as bands on the chart, providing a visual representation of the areas where the price may potentially revert or experience a breakout.
A unique and valuable feature of this script is the addition of a monitor that counts the number of times the price crosses above the Upper Deviation level 2 and below the Lower Deviation level 2 within a user-defined lookback period. This monitor is displayed as a table in the bottom right corner of the chart and can be enabled or disabled through an input option.
The cross count monitor serves as a valuable aid to traders by providing insights into the historical frequency of price crossing the deviation levels. This information can be used to identify potential trading opportunities based on historical price behavior around these levels.
VWAP2D+Displays the current and previous days' VWAP. A useful tool for intraday VWAP traders or to optimize longer term entries or exits.
Features:
Shows levels exceeding the average deviation for the time of day as either warm or cool gradients.
Custom alerts including "Closing In Range" which uses the ATR to determine if the closing value in in the vicinity of the current day's VWAP.
JS-TechTrading: VWAP Momentum_Pullback StrategyGeneral Description and Unique Features of this Script
Introducing the VWAP Momentum-Pullback Strategy (long-only) that offers several unique features:
1. Our script/strategy utilizes Mark Minervini's Trend-Template as a qualifier for identifying stocks and other financial securities in confirmed uptrends.
NOTE: In this basic version of the script, the Trend-Template has to be used as a separate indicator on TradingView (Public Trend-Template indicators are available on TradingView – community scripts). It is recommended to only execute buy signals in case the stock or financial security is in a stage 2 uptrend, which means that the criteria of the trend-template are fulfilled.
2. Our strategy is based on the supply/demand balance in the market, making it timeless and effective across all timeframes. Whether you are day trading using 1- or 5-min charts or swing-trading using daily charts, this strategy can be applied and works very well.
3. We have also integrated technical indicators such as the RSI and the MA / VWAP crossover into this strategy to identify low-risk pullback entries in the context of confirmed uptrends. By doing so, the risk profile of this strategy and drawdowns are being reduced to an absolute minimum.
Minervini’s Trend-Template and the ‘Stage-Analysis’ of the Markets
This strategy is a so-called 'long-only' strategy. This means that we only take long positions, short positions are not considered.
The best market environment for such strategies are periods of stable upward trends in the so-called stage 2 - uptrend.
In stable upward trends, we increase our market exposure and risk.
In sideways markets and downward trends or bear markets, we reduce our exposure very quickly or go 100% to cash and wait for the markets to recover and improve. This allows us to avoid major losses and drawdowns.
This simple rule gives us a significant advantage over most undisciplined traders and amateurs!
'The Trend is your Friend'. This is a very old but true quote.
What's behind it???
• 98% of stocks made their biggest gains in a Phase 2 upward trend.
• If a stock is in a stable uptrend, this is evidence that larger institutions are buying the stock sustainably.
• By focusing on stocks that are in a stable uptrend, the chances of profit are significantly increased.
• In a stable uptrend, investors know exactly what to expect from further price developments. This makes it possible to locate low-risk entry points.
The goal is not to buy at the lowest price – the goal is to buy at the right price!
Each stock goes through the same maturity cycle – it starts at stage 1 and ends at stage 4
Stage 1 – Neglect Phase – Consolidation
Stage 2 – Progressive Phase – Accumulation
Stage 3 – Topping Phase – Distribution
Stage 4 – Downtrend – Capitulation
This strategy focuses on identifying stocks in confirmed stage 2 uptrends. This in itself gives us an advantage over long-term investors and less professional traders.
By focusing on stocks in a stage 2 uptrend, we avoid losses in downtrends (stage 4) or less profitable consolidation phases (stages 1 and 3). We are fully invested and put our money to work for us, and we are fully invested when stocks are in their stage 2 uptrends.
But how can we use technical chart analysis to find stocks that are in a stable stage 2 uptrend?
Mark Minervini has developed the so-called 'trend template' for this purpose. This is an essential part of our JS-TechTrading pullback strategy. For our watchlists, only those individual values that meet the tough requirements of Minervini's trend template are eligible.
The Trend Template
• 200d MA increasing over a period of at least 1 month, better 4-5 months or longer
• 150d MA above 200d MA
• 50d MA above 150d MA and 200d MA
• Course above 50d MA, 150d MA and 200d MA
• Ideally, the 50d MA is increasing over at least 1 month
• Price at least 25% above the 52w low
• Price within 25% of 52w high
• High relative strength according to IBD.
NOTE: In this basic version of the script, the Trend-Template has to be used as a separate indicator on TradingView (Public Trend-Template indicators are available in TradingView – community scripts). It is recommended to only execute buy signals in case the stock or financial security is in a stage 2 uptrend, which means that the criteria of the trend-template are fulfilled.
This strategy can be applied to all timeframes from 5 min to daily.
The VWAP Momentum-Pullback Strateg y
For the JS-TechTrading VWAP Momentum-Pullback Strategy, only stocks and other financial instruments that meet the selected criteria of Mark Minervini's trend template are recommended for algorithmic trading with this startegy.
A further prerequisite for generating a buy signals is that the individual value is in a short-term oversold state (RSI).
When the selling pressure is over and the continuation of the uptrend can be confirmed by the MA / VWAP crossover after reaching a price low, a buy signal is issued by this strategy.
Stop-loss limits and profit targets can be set variably.
Relative Strength Index (RSI)
The Relative Strength Index (RSI) is a technical indicator developed by Welles Wilder in 1978. The RSI is used to perform a market value analysis and identify the strength of a trend as well as overbought and oversold conditions. The indicator is calculated on a scale from 0 to 100 and shows how much an asset has risen or fallen relative to its own price in recent periods.
The RSI is calculated as the ratio of average profits to average losses over a certain period of time. A high value of the RSI indicates an overbought situation, while a low value indicates an oversold situation. Typically, a value > 70 is considered an overbought threshold and a value < 30 is considered an oversold threshold. A value above 70 signals that a single value may be overvalued and a decrease in price is likely , while a value below 30 signals that a single value may be undervalued and an increase in price is likely.
For example, let's say you're watching a stock XYZ. After a prolonged falling movement, the RSI value of this stock has fallen to 26. This means that the stock is oversold and that it is time for a potential recovery. Therefore, a trader might decide to buy this stock in the hope that it will rise again soon.
The MA / VWAP Crossover Trading Strategy
This strategy combines two popular technical indicators: the Moving Average (MA) and the Volume Weighted Average Price (VWAP). The MA VWAP crossover strategy is used to identify potential trend reversals and entry/exit points in the market.
The VWAP is calculated by taking the average price of an asset for a given period, weighted by the volume traded at each price level. The MA, on the other hand, is calculated by taking the average price of an asset over a specified number of periods. When the MA crosses above the VWAP, it suggests that buying pressure is increasing, and it may be a good time to enter a long position. When the MA crosses below the VWAP, it suggests that selling pressure is increasing, and it may be a good time to exit a long position or enter a short position.
Traders typically use the MA VWAP crossover strategy in conjunction with other technical indicators and fundamental analysis to make more informed trading decisions. As with any trading strategy, it is important to carefully consider the risks and potential rewards before making any trades.
This strategy is applicable to all timeframes and the relevant parameters for the underlying indicators (RSI and MA/VWAP) can be adjusted and optimized as needed.
Backtesting
Backtesting gives outstanding results on all timeframes and drawdowns can be reduced to a minimum level. In this example, the hourly chart for MCFT has been used.
Settings for backtesting are:
- Period from April 2020 until April 2021 (1 yr)
- Starting capital 100k USD
- Position size = 25% of equity
- 0.01% commission = USD 2.50.- per Trade
- Slippage = 2 ticks
Other comments
• This strategy has been designed to identify the most promising, highest probability entries and trades for each stock or other financial security.
• The RSI qualifier is highly selective and filters out the most promising swing-trading entries. As a result, you will normally only find a low number of trades for each stock or other financial security per year in case you apply this strategy for the daily charts. Shorter timeframes will result in a higher number of trades / year.
• As a result, traders need to apply this strategy for a full watchlist rather than just one financial security.
Auto anchored VWAP Highest/Lowest Last 'n' bars The VWAP (Volume Weighted Average Price) indicator is used to calculate the average price weighted by volume. This indicator is designed to automatically draw VWAPs from the highest and lowest points of the last 'n' bars.
It utilizes arrays to calculate the values of VWAP and plot it on the chart on the last historical bar. This version was coded to get a similar version to the official "VWAP Auto anchored" with the highest/lowest selected settings.
To use VWAP, traders can look for price movements relative to the VWAP line to identify potential support or resistance levels. It can also be used in conjunction with other technical indicators to develop trading strategies.
Vwap Stop lossThe VWAP Stop Loss indicator is a technical analysis tool that helps traders determine where to set their stop loss levels based on the Volume-Weighted Average Price ( VWAP ).
This indicator calculates the VWAP based on a specified length and multiplies it by a factor, which helps determine the distance for the stop loss levels.
When using this indicator, the red line represents the short stop loss level and the teal line represents the long stop loss level.
The lines will adjust automatically with the changing price action to ensure they always remain at the appropriate distance from the VWAP .
This indicator can be used on any time frame and for any market, making it a versatile tool for traders.
It can help you manage your risk by providing an objective method for setting stop loss levels, which can help increase the chances of successful trades.
Additionally, this indicator can also be used in combination with other technical indicators to help make more informed trading decisions.
VWAP filtered MACD Bars with positive MACD histogram value and closing above VWAP are colored, long positions should be taken in areas made of those bars.
Similarly, bars with negative MACD histogram value and closing below VWAP are also colored, short positions should be taken there.
This indicator by default should be a part of your trend following trading system.
In the setting you can change colors
Above grow: positive and rising MACD histogram value
Above fall: positive and falling MACD histogram value
Below fall: negative and falling MACD histogram value
Below grow: negative and rising MACD histogram value
LevelUp^ 5-Day Moving AverageIn collaboration with Brian Shannon, author of two best-selling books on technical analysis, we've put together an indicator that manages the moving average period based on the chart timeframe.
When using AVWAP as described by Brian, we look for stocks where the trend of the 50-SMA is higher. In that scenario, we look to shorter timeframes (intraday charts) to see if the price action is setting up for a low risk trade. We do this by making sure the shorter timeframe(s) align with the longer. As we look at various timeframes, we need to make sure the moving average is consistent across the timeframes, which is done via the 5-day moving average as outlined below.
The 5-Day Moving Average (5-DMA)
Brian explains it best, from his article 5 Day Moving Average posted on his blog:
"If you want to see a five DAY moving average on a chart with 10 minute candles, you have to consider how many 10 minute periods of trading there are in the trading day. The US equities markets are open from 9:30- 4:00 each day, which is 6.5 hours per trading day. In each hour of trading, there are 6-10 minute periods, so during the regular session for equities, the market is open for 390 minutes or 39-10 minute periods per day. If we are to get a five day moving average, we would take the 39-10 minute periods the market is open each day and then multiply that by five days. 39 x 5 = 195. So a 5 DAY moving average is represented by a 195 PERIOD moving average when looking at a 10 minute timeframe."
Here are the supported timeframes and their 5-DMA equivalents:
1-minute 1950
2-minutes 975
3-minutes 650
5-minutes 390
6-minutes 325
10-minutes 195
13-minutes 150
15-minutes 130
26-minutes 75
30-minutes 65
39-minutes 50
65-minutes 30
78-minutes 25
130-minutes 15
195-minutes 10
More Information About Anchored VWAP (AVWAP)
Brian goes into great detail about multiple timeframe analysis and AVWAP in both of his books:
▪ Maximum Trading Gains With Anchored VWAP
▪ Technical Analysis Using Multiple Timeframes
Acknowledgements
Many thanks to Brian Shannon for sharing his expertise on Anchored VWAP and providing feedback and suggestions during the development of the indicator.
Volume Weighted Average Price (VWAP) with Extras [starlord_xrp]This script builds on the standard VWAP buy adding anchor selections for new High, new Low, and for extreme price moves (Percent Change) that can be significate anchor points for the VWAP. The Percent Change is based on "% Price Change" by OrganicPunch and uses a percentage threshold that can be set in the settings.
Two Days Auto Anchored VWAPEasier way to set anchors to today and last trading day's open.
All you need to do is to select today from the dates picker in Setting ➔ Inputs ➔ Anchor Today .
If last workday is holiday for the market, then overwrite by selecting Manually Set Prev Day
Next update: auto set today's anchor, so completely automatic
VWAP 3x Session Reset- This VWAP aims to be used with futures and forex.
- The VWAP is reset at the beginning of each session.
- 3 different sessions can be specified.
- The lines are not drawn when there is no active session.
- The upper and lower bands with standard deviation 2 are also drawn.
Info: The time zone of the picture is Europe/Berlin
VWAP Boulevard [vnhilton](OVERVIEW)
The idea of this indicator comes from traders identifying supply to mainly look for shorts. Scenarios would be gap ups or pump & dumps where huge volume is transacted, & bag-holders are present. Some traders would draw resistance lines, I myself used to draw supply zones using the volume profile on that day, & others used the day VWAP on those days. VWAP Boulevard (I believe the name comes from the trader named team3dstocks) draws day VWAP lines from the highest volume days for a given period (excluding the current day).
(FEATURES)
- Draws horizontal & vertical lines from up to 250 highest volume days out of up to 3568 days, with the ability to hide either of these lines, their thicknesses, styles
- Extend/cut horizontal lines, or extend them all the way to the right
- Show the day VWAP, volume & age for these days in labels, with the ability to show what information you want to see only
- Separate customizable color forms for the lines & labels - ordinary (1 color); volume (2 color gradient from lowest to highest volume of the highest volume days); age (2 color gradient from youngest to oldest volume of the highest volume days)
- Edit offset & size of labels, & hide them
- Hide vertical lines
From left to right: Age color; ordinary color; volume color
250 highest volume days in the past year. Very messy so it's very likely you won't be using this but the ability to draw lines from 250 highest volume days is there if needed
(DRAWDOWNS)
- This indicator will only on the daily timeframe (error message will show up if unaware of this, & can be toggled off). Unfortunately, this would mean you would have to draw the lines manually yourself if you wish to use them on intraday timeframes.
- You may also encounter the 'Pine cannot determine the referencing length of a series. Try using max_bars_back' error. This occurs when the lookback period is very high & the indicator attempts to recalculate I believe. If this happens then reload the indicator.
The logic I used to obtain the highest volume days were to put all of the volume days in a given period in 1 array, then to sort them from highest to lowest, & also store their sorted indices in an separate array as well, so that drawings for each volume day could be done from the 2 arrays.
//Volume for last N periods
var int pastVol = array.new_int(lookbackPeriodFixed)
for i = 0 to lookbackPeriodFixed - 1
array.set(pastVol, i, int(volume ))
sortedIndices = array.sort_indices(pastVol, order.descending) //All Indices of sorted volume from highest to lowest
sortedIndices2 = array.slice(sortedIndices, 0, highestVolDays) //Indices of sorted volume from highest to lowest
array.sort(pastVol, order.descending) //All Volume sorted from highest to lowest
pastVol2 = array.slice(pastVol, 0, highestVolDays) //Volume sorted from highest to lowest
//Drawings
for i = 0 to highestVolDays - 1
index := array.get(sortedIndices, i)
vol := array.get(pastVol, i)
Since these array sizes were determined from the lookback period, it would mean that the request.security() function used to obtain daily values on intraday timeframes wouldn't work for a lookback period >20 (20 * 2 values I believe, which are the day VWAP & the day volume) as TradingView has put a maximum amount of calls of 40 in 1 script. Therefore, for intraday plots to work I would have to change the logic for getting the day VWAP & day volume for the highest days, as the request.security() function doesn't work on for loops, & this would also mean that the user would only be able to draw lines from up to 20 highest volume days instead of 250. I couldn't go forward with this as I wasn't able to find the logic to pick the highest volume days & their day VWAPs & times (indexes) without using a for loop. If anyone has any solutions (including for the 'Pine cannot determine the referencing length of a series. Try using max_bars_back' error) then please let me know. I've also left commented-out code for dealing with intraday drawings for future use.
Power Indicator - EMAs + VWAP + Volume BarThe Power Indicator is intended to return some exponential moving average, vwap, volume bar, and others. With this compilation, you will be able to use them as one indicator in Trading View.
The components are:
- EMA9 - Exponential Moving Average of 9 days
- EMA21 - Exponential Moving Average of 21 days
- EMA50 - Exponential Moving Average of 50 days
- EMA200 - Exponential Moving Average of 200 days
- Volume Bar - This indicator provides the volume of the candle and its strength by showing different colors. It's a way to check expressive volume in one bar.
- Vwap line
- Indicator
If you have any questions, let me know!
Custom_AVWAP_Harpal's-AnchorsAutomated VWAP Indicator written in PineScript for TradingView charts. Automatically Anchored at key swing H/L levels extracted from price and volume time-series.
Indicator takes one Argument, "LookBack (# of Periods)", and then for a given security finds three key anchors, the highest and lowest values in the 'hlc3' column (average of high low and close on the daily timeframe) in the last 'LookBack' # of days. The script displays up to three color coded time-series corresponding to a trailing Volume Weighted Average Price beginning at the anchor dates corresponding to the anchor points listed above.
VWAP Previous VWAP WMQY StdDev Extensions Nadro StyleDisplays Multi-TF VWAP with Std Dev Bands.
Developing VWAP and Std Dev Bands
Previous VWAP and Std Dev Bands
Previous VWAP Extensions
Some Examples
Anchored VWAP BandSimple script to anchor vwap to a drag and drop spot on the chart and display it as a band instead of a line.
the AVAP Band displays:
1. The AVWAP using High as the source
2. The AVWAP using OHLC4 as the source
3. The AVWAP using Low as the source
This is just a different way of visualising VWAP from an anchored point in time (Band vs Line)
Kioseff Trading - AI-Optimized RSIAI-Optimized RSI
Introducing AI-Optimized RSI: a streamlined solution for traders of any skill level seeking to rapidly test and optimize RSI. Capable of analyzing thousands of strategies, this tool cuts through the complexity to identify the most profitable, reliable, or efficient approaches.
Paired with TradingView's native backtesting capabilities, the AI-Optimized RSI learns from historical performance data. Set up is easy for all skill levels, and it makes fine-tuning trading alerts and RSI straightforward.
Features
Purpose : Uncover optimal RSI settings and entry levels with precision. Say goodbye to random guesses and arbitrary indicator use—this tool provides clear direction based on data.
Target Performance : You set the goal, and AI-RSI seeks it out, whether it's maximizing profits, efficient trading, or achieving the highest win rate.
AI-Powered : With intelligent AI recommendations, the tool dynamically fine-tunes your RSI approach, steering you towards ideal strategy performance.
Rapid Testing : Evaluate thousands of RSI strategies.
Dual Direction : Perfect both long and short RSI strategies with equal finesse.
Deep Insights : Access detailed metrics including profit factor, PnL, win rate, trade counts, and more, all within a comprehensive strategy script.
Instant Alerts : Set alerts and trade.
Full Customization : Test and optimize all RSI settings, including cross levels, profit targets and stop losses.
Simulated Execution : Explore the impact of limit orders and other trade types through simulation.
Integrative Capability : Combine your own custom indicators or others from the TradingView community for a personalized optimization experience.
Flexible Timeframes : Set your optimization and backtesting to any date range.
Key Settings
The image above shows explanations for a list of key settings for the optimizer.
Direction : This setting controls trade direction: Long or Short.
Entry Condition : Define RSI entry: Select whether to trigger trades on RSI crossunders or crossovers.
RSI Lengths Range : Choose the range of RSI periods to test and find the best one.The AI will find the best RSI period for you.
RSI Cross Range : Set the range for RSI levels where crosses trigger trade signals. The AI will find the best level for you.
Combinations : Select how many RSI strategies to compare.
Optimization Type : Choose the goal for optimization and the AI: profit, win rate, or efficiency.
Profit Target : Set your profit target with this setting.
Stop Loss : Decide your maximum allowable loss (stop loss) per trade.
Limit Order : Specify whether to include limit orders in the strategy.
Stop Type : Choose your stop strategy: a fixed stop loss or a trailing stop.
How to: Find the best RSI for trading
It's important to remember that merely having the AI-Optimized RSI on your chart doesn't automatically provide you with the best strategy. You need to follow the AI's guidance through an iterative process to discover the optimal RSI settings and strategy.
1.Starting Your Strategy Setup
Begin by deciding your goals for each trade: your profit target and stop loss. You'll also choose how to manage your stops – whether they stay put (fixed) or move with the price (trailing), and whether you want to exit trades at a specific price (limit orders). Keep the initial settings for RSI lengths and cross ranges at their default to give the tool a broad testing field. The AI's guidance will refine these settings to pinpoint the most effective ones through a process of comprehensive testing.
The image above shows our chart prior to any optimization efforts.
Note: the settings shown above in the key settings section will be used to start our demonstration.
2. Follow AI’s suggestions
Optimization Prompt: After loading your strategy, the indicator will prompt you to change the RSI length range and RSI level range to a better performing range.
Continue changing the RSI length range and RSI level range to match the indicator's suggestions until "Best Found" is displayed!
The image above shows results after we applied the tool’s suggestions. New suggestions have appeared, and we will continue to apply them.
Continue to adjust settings as recommended by the optimizer. If no better options are found, the optimizer will suggest increasing the number of combinations. Repeat this process until the optimizer indicates that the optimal setting has been identified.
Success! With the "Best Found" notification, an optimized RSI is now active. The AI will keep refining the strategy based on ongoing performance, ensuring continuous optimization.
AI Mode
AI Mode incorporates Heuristic-Based Adaptive Learning to fine-tune trading strategies in a continuous manner. This feature consists of two main components:
Heuristic-Based Decision Making: The algorithm evaluates multiple RSI-based trading strategies using specific metrics such as Profit and Loss (PNL), Win Rate, and Most Efficient Profit. These metrics act as heuristics to assist the algorithm in identifying suitable strategies for trade execution.
Online Learning: The algorithm updates the performance evaluations of each strategy based on incoming market data. This enables the system to adapt to current market conditions.
Incorporating both heuristic-based decision-making and online learning, this feature aims to provide a framework for trading strategy optimization.
Settings
AI Mode Aggressiveness:
Description: The "AI Mode Aggressiveness" setting allows you to fine-tune the AI's trading behavior. This setting ranges from “Low” to “High”, with “High” indicating a more assertive trading approach.
Functionality: This feature filters trading strategies based on a proprietary evaluation method. A higher setting narrows down the strategies that the AI will consider, leaning towards more aggressive trading. Conversely, a lower setting allows for a more conservative approach by broadening the pool of potential strategies.
Adaptive Learning Aggressiveness:
Description: When Adaptive Learning is enabled, the "Adaptive Learning Aggressiveness" setting controls how dynamically the AI adapts to market conditions using selected performance metrics.
Functionality: This setting impacts the AI's responsiveness to shifts in strategy performance. By adjusting this setting, you can control how quickly the AI moves away from strategies that may have been historically successful but are currently underperforming, towards strategies that are showing current promise.
Optimization
Trading system optimization is immensely advantageous when executed with prudence.
Technical-oriented, mechanical trading systems work when a valid correlation is methodical to the extent that an objective, precisely-defined ruleset can consistently exploit it. If no such correlation exists, or a technical-oriented system is erroneously designed to exploit an illusory correlation (absent predictive utility), the trading system will fail.
Evaluate results practically and test parameters rigorously after discovery. Simply mining the best-performing parameters and immediately trading them is unlikely a winning strategy. Put as much effort into testing strong-performing parameters and building an accompanying system as you would any other trading strategy. Automated optimization involves curve fitting - it's the responsibility of the trader to validate a replicable sequence or correlation and the trading system that exploits it.
VWAP PredatorUsing VWAP as a start point, the VWAP Predator uses proprietary Fibonacci bands to help determine signal criteria. Most traders use VWAP in a simple way to determine whether an instrument is in a bearish or bullish state, but that doesn't help choosing the correct time to go long or short.
The xBat VWAP Predator uses behavioural analysis with volume, price action with open and close proximities to the Fibonacci bands/zones (Fib Zones). The following describes how the xBrat VWAP Predator is different to any standard use of Volume Weighted Average Price and uses xBrat Proprietary Behavioural logic to determine high probability long and Short signals. All of this heavy lifting and logic is done behind the scenes, keeping traders charts clean.
Long Trading Signals - Candle Coloured in Blue - There are many states with the logic to produce these signals, which are briefly described below:
1. The only standard criteria here - The price action must be above the VWAP Line
2. The Price must open below the boundary of one Fib Zone and close into the next Fib Zone
3. That Same Candle has to be an Accumulation Candle (more volume than the preceding candle and More Buyers) - This is determined with our proprietary logic coding
4. The Same signal candle also has to be higher than average volume. Again, our proprietary xBrat Logic just doesn't look back over a set number of bars, it looks at times of day and day of week, plus more to determine a true valuation of higher, lower or equal to average volume.
5. Only when these states are met, plus two more ema proximity logic, Does the xBrat VWAP predator give a Long Signal.
6. Trade Management is either set targets or indeed a simple ema cross which we provide as a ribbon on the chart to help traders. These ema's are different to entry logic. When the Ribbon turns from green to red, the trader should consider exiting the trade
Short Trading Signals - Candle Coloured in Pink - There are many states with the logic to produce these signals, which are briefly described below:
1. The only standard criteria here - The price action must be below the VWAP Line
2. The Price must open above the boundary of one Fib Zone and close into the next Fib Zone
3. That Same Candle has to be a Distribution Candle (more volume than the preceding candle and More Sellers) - This is determined with our proprietary logic coding
4. The Same signal candle also has to be higher than average volume. Again, our proprietary xBrat Logic just doesn't look back over a set number of bars, it looks at times of day and day of week, plus more to determine a true valuation of higher, lower or equal to average volume.
5. Only when these states are met, plus two more ema proximity logic, Does the xBrat VWAP predator give a Short Signal.
6. Trade Management is either set targets or indeed a simple ema cross which we provide as a ribbon on the chart to help traders. These ema's are different to entry logic. When the Ribbon turns from red to green, the trader should consider exiting the trade.
VWAP Predator is a day trading and scalping signals trading indicator.
ZenBot Signals - Trend StrengthI developed this indicator as a "regime detection" for my algo trading bot. It uses the ADX +/- values with a few twists.
- If ADX DI+ is over 30 and DI- is below 20 and falling (inverse for shorts)
- Price action rising/falling thru various VWAP standard deviations indicates a strong trend break
- Some other custom juju (open source so have fun).
I use this primarily to monitor the SPY index as a backdrop for my long and short trades. If the colored line below price bars is red or green, a strong trend is present and there is a decent trade environment.
