Plot background depending on Index EMA 10 and EMA 20This indicator gives the user an easy way to check the conditions of the market.
Up market should be good for breakout traders.
Down market should be good for breakdown shortsellers
The others should be good for pullback buyers.
This script automaticlly check which index should be used for the depending on which ticker is view. If no match is found indicator will use IXIC as reference.
The script works for Nordic and US stocks.
"OMXSPI"
"OBX"
"OMXSPI"
"OMXHPI"
"OMXCPI"
"IXIC"
It then alculated the EMA10 and EMA20 for the index and plots the background depending on 6 differnet conditions.
EMA10 below EMA20 and EMA10 and EMA20 is sloping down. //Down market
EMA10 above EMA20 and EMA10 and EMA20 is sloping up. //Up market
EMA10 below EMA20 and EMA10 sloping up and EMA20 is sloping down. //First indication by market to move up
EMA10 above EMA20 and EMA10 sloping down and EMA20 is sloping up. //First indication by market to move down
EMA10 below EMA20 and EMA10 sloping up and EMA20 is sloping up. //Possible MA cross over
EMA10 below EMA20 and EMA10 sloping down and EMA20 is sloping down. //Possible MA cross over
Breadth Indicators
QFL Screener [ ZCrypto ]The QFL Screener is a robust tool inspired by Quickfingersluc's trading strategy.
Known as the Base Strategy or Mean Reversals, QFL focuses on identifying moments of panic selling and buying , presenting opportunities to enter trades at deeply discounted prices.
The QFL Screener is designed to enhance your trading efficiency by simultaneously scanning 40 symbols.
You have the flexibility to enable or disable specific symbols from the screening process, allowing you to tailor the screener to your preferred markets and instruments.
The Screener has a built-in alerts system . As soon as the QFL conditions align for any of the scanned symbols, you'll receive instant notifications, empowering you to take prompt action and seize potential trading opportunities.
In addition, I've incorporated a visual element to complement the alerts. Once the conditions are true, a green arrow shape will appear directly on the chart, providing a clear and intuitive signal of the QFL opportunity.
To provide a clear overview, our screener presents a comprehensive table that highlights when the QFL condition becomes true for each symbol. This table acts as a visual guide, enabling you to monitor the status of multiple symbols at a glance, streamlining your trading decision-making process.
With the QFL Screener, you gain an edge in identifying profitable trade setups based on Quickfingersluc's renowned approach. Experience the convenience of simultaneous screening, real-time alerts, and an intuitive table display, all in one user-friendly tool.
% Stocks Above MABreadth indicator showing % stocks above various moving averages. Histogram is positive (blue) when % stocks above selected MA is greater than 50%. Histogram is negative (red) when % of stocks above selected MA is less than 50%. Data manipulation causes the actual % value in y-axis to be incorrect but enhances visualization. Actual %'s are simply the displayed values + 50.
Improvements / suggestions welcome.
QuantumBands - Tutor Metatrader🚀 QuantumBands - Tutor Metatrader 🚀
📖 Description:
QuantumBands is a powerful technical indicator designed to enhance your trading analysis. It combines the popular Bollinger Bands with a unique twist, providing you with valuable insights into market dynamics. This indicator is presented by the Tutor Metatrader channel, offering expert guidance and education on using the indicator effectively.
🔍 How it Works:
QuantumBands calculates the Bollinger Bands based on a defined period and multiplier. The indicator plots the middle band (basis), the upper band, and the lower band on your chart, visualizing potential price volatility and areas of support and resistance. Additionally, it generates buy and sell signals when the price crosses the bands, helping you identify potential entry and exit points in your trading strategy.
🎯 Key Features:
- Customizable period and multiplier for the Bollinger Bands.
- Clear visual representation of the bands for easy analysis.
- Buy and sell signals for potential trading opportunities.
- Backed by the expertise of Tutor Metatrader channel.
📚 How to Use:
1. Set the desired period and multiplier for the Bollinger Bands.
2. Look for price action near the bands and monitor for potential reversals or breakouts.
3. Pay attention to buy and sell signals generated when the price crosses the bands.
4. Consider additional factors and perform proper risk management before executing trades.
⚠️ Disclaimer: Trading involves risk, and this indicator should be used as a tool to support your analysis. Always perform your due diligence and combine the indicator with other technical and fundamental analysis methods.
🌟 Enjoy using QuantumBands for your trading analysis, and remember to check out the Tutor Metatrader channel for expert guidance and educational content!
💡 Share your feedback and trading experiences with QuantumBands - Tutor Metatrader in the comments below. Happy trading!
On-Balance Accumulation Distribution (Volume-Weighted)The On-Balance Accumulation Distribution (OBAD) indicator is designed to analyze the accumulation and distribution of assets based on volume-weighted price movements. The indicator helps traders identify periods of buying and selling pressure and assess the strength of market trends. By incorporating volume and price data, the OBAD indicator provides valuable insights into the flow of funds in the market.
To calculate the OBAD, the indicator multiplies the volume, price, and volume factor (user-defined) with the price change and aggregates the values over a specified length. This results in a histogram and a line plot representing the OBAD values. The OBAD signal line is derived by applying a simple moving average (SMA) to the OBAD values over a shorter period (9 by default). The crossover of the OBAD line and signal line can indicate potential entry or exit points.
The OBAD indicator utilizes coloration to enhance its visual representation and interpretation. The OBAD background is colored based on the relationship between the OBAD values and the OBAD signal line. When the OBAD values are above the signal line, the background is displayed in lime, suggesting a bullish accumulation scenario. Conversely, when the OBAD values are below the signal line, the background is colored fuchsia, indicating a bearish distribution pattern. The bar coloration is also applied to provide further visual cues, with lime representing bullish conditions and fuchsia denoting bearish conditions. When the OBAD signal line is above 0, it is colored green. Conversely, if the signal line is below 0, it is colored maroon.
The length parameter in the OBAD indicator determines the number of periods used in the calculation. Shorter lengths, such as 10 or 20, can make the indicator more responsive to recent price and volume changes, providing quicker signals. This can be beneficial for short-term traders or in fast-paced markets. Conversely, longer lengths, such as 50 or 100, smooth out the indicator and provide a broader view of accumulation and distribution over a more extended period. This may suit longer-term traders or when analyzing trends in less volatile markets. Traders should experiment with different lengths to find the optimal balance between responsiveness and smoothness that aligns with their trading goals.
The volume factor parameter allows traders to adjust the weighting of volume in the OBAD calculation. By modifying this factor, traders can emphasize the impact of volume on the indicator. Increasing the volume factor amplifies the influence of volume in the OBAD calculation, making it more sensitive to volume changes. This can be advantageous when volume is considered a significant driver of price movements, such as during news events or market catalysts. On the other hand, decreasing the volume factor reduces the impact of volume, making the indicator less sensitive to volume fluctuations. Traders can experiment with different volume factors to align the indicator's responsiveness with their analysis of volume patterns and its importance in their trading decisions.
The signal line period parameter determines the number of periods used to calculate the moving average of the OBAD values. Adjusting this parameter can help smooth out the indicator and filter out short-term noise or provide more timely signals. A shorter signal line period, such as 5 or 7, provides more sensitive and frequent crossovers with the OBAD values, potentially offering early entry or exit signals. This can be useful for traders seeking shorter-term trades or more agile trading strategies. Conversely, a longer signal line period, such as 9 or 14, smooths out the indicator and provides more stable signals. This may suit traders who prefer longer-term trends or a more conservative approach. Traders should consider their trading timeframe and the desired balance between responsiveness and stability when adjusting the signal line period.
The OBAD indicator can be applied in various trading strategies and scenarios. It helps traders identify potential trend reversals, confirm existing trends, and generate entry and exit signals. For example, when the OBAD histogram transitions from fuchsia to lime, it may suggest a shift from selling to buying pressure, signaling a potential buying opportunity. Traders can also use the OBAD indicator in conjunction with other technical analysis tools, such as trendlines or support/resistance levels, to confirm signals and make more informed trading decisions.
-- Trend Reversal Identification : The OBAD indicator can be useful in identifying potential trend reversals. When the OBAD values cross above the signal line after being below it, it may suggest a shift from bearish distribution to bullish accumulation. Conversely, when the OBAD values cross below the signal line after being above it, it may indicate a transition from bullish accumulation to bearish distribution. Traders can use these crossovers as potential signals to enter or exit trades in anticipation of a trend reversal.
-- Confirmation of Trend Strength : The OBAD indicator can act as a confirmation tool for assessing the strength of existing trends. When the OBAD values remain consistently above the signal line, it confirms the presence of strong bullish accumulation and validates the upward trend. Similarly, when the OBAD values stay consistently below the signal line, it confirms the presence of strong bearish distribution and validates the downward trend. Traders can use this confirmation to have more confidence in the prevailing trend and adjust their trading strategies accordingly.
-- Divergence Analysis : Divergence between the price and the OBAD indicator can provide valuable insights. Bullish divergence occurs when the price forms lower lows while the OBAD indicator forms higher lows, suggesting a potential trend reversal to the upside. Conversely, bearish divergence occurs when the price forms higher highs while the OBAD indicator forms lower highs, indicating a potential trend reversal to the downside. Traders can use these divergences as additional confirmation signals in their trading decisions.
-- Volume Analysis : The OBAD indicator incorporates volume data, making it particularly useful for volume analysis. Traders can analyze the relationship between OBAD values and volume levels to gauge the strength and validity of price movements. Higher OBAD values accompanied by higher volume can indicate strong accumulation or distribution, providing confirmation for potential trade setups. On the other hand, lower OBAD values accompanied by low volume may suggest a lack of participation and potentially signal caution in trading decisions.
It is important to note that the OBAD indicator, like any other technical indicator, has certain limitations. It relies on historical price and volume data, which may not always accurately reflect current market conditions or future price movements. Traders should exercise caution and use the OBAD indicator in conjunction with other analysis techniques and risk management strategies. Additionally, customization of the OBAD parameters, such as adjusting the length or volume factor, can provide flexibility to adapt the indicator to different market conditions and trading preferences.
Overall, the OBAD indicator serves as a valuable tool for traders to gauge the accumulation and distribution patterns in the market. Its calculation based on volume-weighted price movements and the coloration enhancements make it visually appealing and intuitive to interpret. By incorporating the OBAD indicator into trading strategies and considering its limitations, traders can potentially improve their decision-making process and enhance their trading outcomes.
Hui-Heubel Liquidity RatioThe Hui-Heubel Liquidity Ratio (lhh) is a measurement of market resiliency and liquidity. Higher values indicate a more liquid and resilient market, lower values indicate a more fragile market susceptible to volatile moves. It does not work on all tickers (for example, if something does not report volume).
Generally, you will see lhh rise when stocks sell off and fall when they are bought. Occasionally you will see scenarios where price will go up while lhh does as well, often this is a symptom of short covering.
Includes two configurable SMAs and a configurable lookback window.
Intraday Intensity ModesIntraday Intensity Index was created by David Bostian and its use was later featured by John Bollinger in his book "Bollinger on Bollinger Bands" . It is categorically a volume indicator and considered to be a useful tool for analyzing supply and demand dynamics in the market. By measuring the level of buying and selling pressure within a given trading session it attempts to provide insights into the strength of market participants' interest and their aggressiveness in executing trades throughout the day. It can be used in conjunction with Bollinger Bands® or other envelope type indicators as a complimentary indicator to aid in trying to identify potential turning points or trends.
Intraday intensity is calculated based upon the relationship between the price change and the volume of shares traded during each daily interval. It aims to capture the level of buying or selling activity relative to the overall volume. A high intraday intensity value suggests a higher level of buying or selling pressure, indicating a more active and potentially volatile market. Conversely, a low intraday intensity value indicates less pronounced trading activity and a potentially quieter market. Overall, intraday intensity provides a concise description of the intensity of trading activity during a particular trading session, giving traders an additional perspective on market dynamics. Note that because the calculation uses volume this indicator will only work on symbols where volume is available.
While there are pre-existing versions within community scripts, none were found to have applied the calculations necessary for the various modes that are presented within this version, which are believed to be operating in the manner originally intended when first described by Bostian and again later by Bollinger. When operating in default modes on daily or lower chart timeframes the logic used within this script tracks the intraday high, low, close and volume for the day with each progressing intraday bar.
The BB indicator was included on the top main chart to help illustrate example usage as described below. The Intraday Intensity Modes indicator is pictured operating in three different modes beneath the main chart:
• The top pane beneath the main chart shows the indicator operating as a normalized 21 day II% oscillator. A potential use while in this mode would be to look for positive values as potential confirmation of strength when price tags the upper or lower Bollinger bands, and to look for negative values as potential confirmation of weakness when price tags the upper or lower Bollinger bands.
• The middle pane shows the indicator operating as an "open ended" cumulative sum of II. A potential use while in this mode would be to look for convergence or divergence of trend when price is making new highs or lows, or while price is walking the upper or lower Bollinger bands.
• The bottom pane shows the indicator operating in standard III mode, which provides independent values per session.
Indicator Settings: Inputs tab:
Osc Length : Set to 1 disables oscillation, values greater than 1 enables oscillation for II% (Intraday Intensity percent) mode.
Tootip : Hover mouse over (i) to show recommended example Settings for various modes.
Cumulative : When enabled values are cumulatively summed for the entire chart and indicator operates in II mode.
Normalized : When enabled a rolling window of Osc Length values are summed and normalized to the rolling window's volume.
Intrabar : When enabled price range and volume are evaluated for intensity per bar instead of per day which is a departure from the original
concept. Whenever this setting is enabled the indicator should be regarded as operating in an experimental mode.
Colors For Up Down : Sets the plot colors used, may be overridden in Settings:Style tab.
Styles / Width : Sets the plot style and width used, may be overridden in Settings:Style tab.
This indicator is designed to work with any chart timeframe, with the understanding that when used on timeframes higher than daily the indicator becomes "IntraPeriod" intensity, for example on weekly bars it would be "IntraWeek" intensity. On Daily or lower timeframes the indicator operates as "IntraDay" intensity and is being updated on each bar as each day progresses. If the experimental setting Intrabar is enabled then the indicator operates as "IntraBar" intensity and is no longer constrained to daily or higher evaluations, for example with Intrabar enabled on a 4H timeframe the indicator would operate as "Intra4H" intensity.
NOTICE: This is an example script and not meant to be used as an actual strategy. By using this script or any portion thereof, you acknowledge that you have read and understood that this is for research purposes only and I am not responsible for any financial losses you may incur by using this script!
Mervaleta BreadthFellow Merval investors/traders , I'm sharing this script with you that allows you to calculate a breadth indicator using the components of the Merval Index (IMV) from Argentina.
This breadth indicator shows the percentage of stocks that are above a moving average. In this case, you can choose between an EMA or SMA, and you can select the period of the moving average.
The components that make up the index and were used for this script are as follows:
AGRO
ALUA
BBAR
BMA
BYMA
CEPU
COME
CRES
CVH
EDN
GGAL
HARG
LOMA
MIRG
PAMP
SUPV
TECO2
TGNO4
TGSU2
TRAN
TXAR
VALO
YPFD
For all of them, their dollar value in CCL was used, calculated with GGAL.
Enjoy :)
NSDT Custom High and Low LinesFirst, the credit for the original script to plot a High and Low between a certain time goes to developer paaax.
I took that idea, converted it to Pinescript V5, cleaned up the code, and added a few more lines so you can plot different levels based on time of day.
Published open source like the original.
The example shown has:
Blue - plotting from the start of the Futures Asian session to the start of the Futures USA Session. (6:00PM - 9:30AM Eastern)
Yellow - plotting from the start of the Futures Europe session to the start of the Futures USA Session. (3:00AM - 9:30AM Eastern)
Green - plotting from the start of the Futures US Premarket session to the start of the Futures USA Session. (8:00AM - 9:30AM Eastern)
These are great levels to use for breakouts and/or support and resistance.
Combine these levels with the 5 min Open Range levels, as you have some good trades.
Each of the three sessions have individual start and end times that can be modified by the trader, so you can easily mark off important areas for your style of trading.
Z-Score(Slope(OBV(LBC)))Summary : Market price is simply a dance of liquidity to the specific market.
tl;dr: "Cash come-in, market moon; Cash go-out, market doom"
In Simple Language : Large changes in the money flow to an asset often mark local price extremia.
Academic paper:
Title: Z-Score(Slope(OBV)): An Efficient Indicator for Identifying Local Extremes in Asset Prices
Abstract: This paper presents a novel trading indicator, Z-Score(Slope(OBV)), that aims to predict local extremes in asset prices by analyzing the patterns of money flow. The indicator is constructed using the Z-score of the slope of the On Balance Volume (OBV).
Hypothesis: The price levels at which the money flows into and out of an asset often mark local extremes. This notion underpins our exploration of the Z-Score(Slope(OBV)) indicator's potential in identifying these critical points.
1. On Balance Volume (OBV): The OBV is a momentum indicator that leverages the volume flow to forecast potential changes in asset prices. It operates on the premise that changes in volume often presage shifts in price. The OBV algorithm adds a period's volume to the cumulative total when the closing price is up and subtracts it when the closing price is down. Therefore, an ascending OBV suggests positive volume pressure, potentially heralding higher prices, while a declining OBV signifies negative volume pressure, possibly indicating lower prices.
2. Slope: In this context, the slope represents the rate of change of the OBV. It is a measure of the rise-over-run for a linear regression line through the OBV data points. By evaluating the slope of the OBV, we can extract valuable insights into the momentum of the volume. A positive slope indicates increasing volume momentum, suggesting growing interest in the asset, while a negative slope implies declining volume momentum, potentially reflecting dwindling interest.
3. Z-Score: The Z-score is a statistical measure that delineates a data point's relationship to the mean of a group of values, expressed in terms of standard deviations from the mean. For instance, a Z-score of 0 reveals that the data point's score aligns with the mean score. Positive Z-scores indicate values higher than the mean, and negative Z-scores represent values lower than the mean. Applying the Z-score to the slope of the OBV allows us to comprehend the degree of deviation of the current OBV slope from its historical mean.
A Z-score of 1 suggests that the OBV's slope is one standard deviation from the mean, which implies that the slope is within the range of values where approximately 68% (not 67%) of all values lie.
A Z-score of 2 implies that the slope is two standard deviations from the mean, thus within the range where roughly 95% of all values lie.
A Z-score of 3 indicates that the slope is three standard deviations from the mean, putting it within the range where about 99.7% of all values lie.
Z-scores of 4 and 5 and beyond are increasingly rare and represent extreme values.
4. The Z-Score(Slope(OBV)) Indicator and Line Break Chart Synergy: The Z-Score(Slope(OBV)) indicator's efficiency is further amplified when visualized using a Line Break chart. This chart type disregards time, concentrating solely on price changes, thus providing a clear visualization of market trends. When combined with the Line Break chart, the Z-Score(Slope(OBV(LBC))) indicator can help traders identify trend shifts more accurately and promptly, reinforcing the hypothesis that price levels where money flows into and out of an asset often mark local extremes.
In summary, the Z-Score(Slope(OBV)) indicator, combining volume, momentum, and statistical analysis, provides a robust tool for traders to predict local extremes in asset prices.
Regarding Implementation:
- This is implemented using Pinescript V5
- Uses inbuilt ta module
- Very effective and simple and efficient computation in 30 lines of code
Tick Profile HeatmapThis is a market internal TICK heatmap with the intent of displaying areas of price associated to stronger reactions with NYSE TICK (by default).
This code is based off of a variation of a Volume Profile coded originally by colejustice who originally used code from LuxAlgo . The full-width volume bars that colejustice setup were replaced with full-width bars representative of TICK breaking +/- $500, the current cumulative value representing the "heat" is comprised of hlc3 by default but that can be changed. In a future update I may add additional logic here to capture highs and lows in the heatmap specifically, and perhaps additional colors.
As with other traditional profiling studies, this indicators purpose is to visualize correspondence to specific price levels, allowing rapid assessment where the most TICK activity is occurring, and where it hasn't been. This information may provide areas of support and resistance and regions where price may move quickly repeatedly.
All of the same input guidance that colejustice provided is the same for those pre-existing inputs:
Inputs are set up such that you can customize the lookback period, number of rows, and width of rows for most major timeframes individually. Timeframes between those available will use the next lower timeframe settings (e.g., 2m chart will use the 1m settings.)
Zero usage of volume is present in this indicator, only TICK data so please don't confuse it with volume studies.
Adjusted OBVThis script shows On-Balance Volume adjusted for volume weighted candle body size.
This means that the wick lengths, body length, and sell/buy pressure are calculated into percentages of volume that contributed to each.
The body volume is the accumulatively tracked across candles to give a more accurate On-Balance Volume that has been traded to achieve the current price over time.
The script output is in Orange and for comparison the original technical OBV is in Blue.
As this is my first script, I hope to update it to include a 'buy' and 'sell' pressure gauge to perhaps turn this from a mere indicator into potentially a bit more predictive.
In the meantime, it should be useful for tracking OBV for other uses in a more accurate and less volatile way.
[TT] Sectors Dist % From MA- The script shows the distance in percentages from the 200 MA (or any other MA period) , for the 11 SP500 sectors.
- It works based on the current time frames.
Could be useful when working with mean reversion strategies to detect extremes zones and overbought/oversold conditions in the given sectors compared others.
MESThe Double Bollinger Bands strategy is a trend-following strategy that aims to identify high-probability trading opportunities in trending markets. The strategy involves using two sets of Bollinger Bands with different standard deviation values to identify potential entry and exit points.
Bollinger Bands are a technical analysis tool that consists of three lines plotted on a price chart: a simple moving average (SMA) in the middle, and an upper and lower band that are each a certain number of standard deviations away from the SMA. The standard deviation value determines the width of the bands, with a larger deviation resulting in wider bands.
In this indicator, the first set of Bollinger Bands is calculated using a length of 20 bars and a standard deviation of 2, while the second set uses a length of 20 bars and a standard deviation of 3. The bands are plotted on the price chart along with the SMA for each set.
The buy signal is generated when the price falls below the lower band of the second set of Bollinger Bands (the 3-standard deviation band) and then rises above the lower band of the first set (the 2-standard deviation band). This is interpreted as a potential reversal point in a downtrend and a signal to enter a long position.
Conversely, the sell signal is generated when the price rises above the upper band of the second set of Bollinger Bands and then falls below the upper band of the first set. This is interpreted as a potential reversal point in an uptrend and a signal to enter a short position.
To make it easier to identify buy and sell signals on the price chart, the indicator plots triangles above the bars for sell signals and below the bars for buy signals.
Overall, the Double Bollinger Bands strategy can be a useful tool for traders who want to follow trends and identify potential entry and exit points. However, as with any trading strategy, it is important to backtest and thoroughly evaluate its performance before using it in live trading.
Mean ReversionThe "Mean Reversion" indicator in this script is a popular trading strategy that is based on the concept that over time, prices tend to move back towards their mean or average. This trading strategy seeks to identify instances where the price has deviated significantly from its mean and therefore presents an opportunity to profit from its eventual reversion to the mean.
The script calculates the distance between the current price and the EMA using the ATR, which is a measure of volatility. By multiplying the ATR by a specified factor, the script establishes a distance between the current price and the EMA. If the price falls below this distance, it triggers a potential buy signal, indicating that the price may be oversold and due for a rebound.
The script also uses Bollinger Bands to help identify potential buying and selling opportunities. The Bollinger Bands are a technical indicator that measures the volatility of an asset by plotting two standard deviations away from a moving average. When the price moves outside of the Bollinger Bands, it can indicate that the asset is overbought or oversold, potentially triggering a buy or sell signal.
The script's "buySignal" variable is triggered when the price is below the EMA by the specified ATR distance and also falls below the lower Bollinger Band. Conversely, the "sellSignal" variable is triggered when the price is above the EMA by the specified ATR distance and also rises above the upper Bollinger Band.
The script plots the EMA, Bollinger Bands, and the buy and sell signals on the chart for easy visualization. Additionally, the script includes alerts that can be set up to notify the user when a buy or sell signal is triggered, so that they can act on the information in a timely manner.
In summary, this script is a Mean Reversion indicator that aims to identify potential opportunities to buy or sell assets based on deviations from their mean price using a combination of the ATR, EMA, and Bollinger Bands.
duval Moyenne Mobile Exponentielle Doubleindicateur permet de prendre des decision a partie des donnes de moyennes mobiles znb un seuk indicateur ne permet pas de prendre une decision d'achat ou de vente
Educational Strategy : TRIPLE DRAG-ON SYSTEM V.1The Triple Dragon System is a technical trading strategy that uses a combination of three different indicators to identify potential buy and sell signals in the market. The three indicators used in this strategy are the Extended Price Volume Trend (EPVT), the Donchian Channels, and the Parabolic SAR. Each of these indicators provides different types of information about the market, and by combining them, we can create a more comprehensive trading system.
The EPVT is used to identify potential trend changes and measure the strength of a trend. The Donchian Channels are used to identify the direction of the trend, while the Parabolic SAR is used to provide additional confirmation of trend changes and help determine potential entry and exit points.
In this strategy, we first use the EPVT and Donchian Channels to identify the direction of the trend. When the EPVT is above its baseline and the price is above the upper Donchian Channel, it suggests an uptrend. Conversely, when the EPVT is below its baseline and the price is below the lower Donchian Channel, it suggests a downtrend.
Once we have identified the trend direction, we use the Parabolic SAR to help determine potential entry and exit points. When the Parabolic SAR is below the price and flips to above the price, it suggests a potential buy signal. Conversely, when the Parabolic SAR is above the price and flips to below the price, it suggests a potential sell signal.
To further refine our trading signals, we use multiple timeframes to confirm the trend direction and ensure that we are not entering the market during a period of high volatility. We also use multiple take-profit levels to lock in profits and manage risk.
Overall, the Triple Dragon System is a comprehensive technical trading strategy that combines multiple indicators to provide clear entry and exit signals. By using a combination of trend-following and momentum indicators, we can identify potential trading opportunities while minimizing risk. Please note that this strategy is for educational purposes only and should not be taken as financial advice.
BTC Log High/LowThis indicator aims to display the price index of Bitcoin based on its logarithmic high and low values. Indicator calculates the logarithmic high and low values of Bitcoin using specific mathematical formulas and then applies a price index formula to obtain a value for each bar on the chart. The resulting value is plotted on the chart as a line, representing the Bitcoin price index.
The indicator also includes several horizontal lines at specific levels, which can be adjusted by the user. The lines are used to indicate important price levels and act as support and resistance levels. Additionally, the indicator includes two moving averages, a 100-period exponential moving average (EMA) and a 200-period EMA, which can be used to identify trends.
LNL Smart TICKLNL Smart TICK
This study is mostly beneficial for intraday traders. It is basically a user-friendly "colorful" representation of the $TICK chart with highlighted $TICK extremes. This indicator also includes: a simple trend gauge that can visualize the bias for the day, cumulative tick cloud which is showing the cumulative strength of either longs & shorts on the day.
$TICK Trend Gauge
Although it is just a exponential moving average. This average (default set on 20) works quite well as an overall gauge for the day. Whenever the gauge is green (above zero), any negative $TICK values below -500 can offer great pullback opportunities. Same applies for the red gauge. 20 EMA is below zero ? Great time to fade any +500 or +1000 tick readings. Obviously the gauge can be ajdusted to any number based on personal style.
$TICK Extremes (little triangles)
These little triangles are triggered anytime $TICK jumps above or below the pre-set values of +1000 or -1000. By just simply observing the $TICK triangles during the day can tell you how much volaility or pressure there is. Sometimes there will be 20 green triangles and only 2 red ones. That obviously mean there is a strong bearish pressure. But there will be days when you are not going to see any triangles at all which can mean there is either a low volatility or the price is stuck in the indecisive market.
Cumulative $TICK Cloud
Cumulative $TICK by itself is a great study for day traders. It is basically running "counting" $TICK that is adding the previous $TICK values from previous bars. Cumulative $TICK can create a direct picture of the current market sentiment. It is not just a simple green / red line but a cloud that can really show you the depth on the $TICK. Some days, the cloud will be quite wide which is a good sign for the strength to one side, but sometimes the cloud will be so narrow it will practically disappear. This would be telling you the exact opposite - not much conviction to any side. Of course the depth as well as the color of the cloud can change during the day.
$TICK & Cumulative $TICK Tables
By just looking at these tables. You can immidiately tell the state of the current $TICK. They both can be red or green. It all depends whether the values are positive or negative. The tables are just a little visual addition to the whole $TICK study.
Hope it helps.
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.
Volume DockThis oscillator has two different modes:
The first one called RSIs is a comparison between the Relative strength index of the Accumulation/Distribution (and the On Balance Volume) and the normal price, to analyze the differences in momentum between the price with volume and without.
The second one, called Dock, is similar except for the fact that the lines are smoothed using the hull moving average formula, this mode is great to signal entries and for reversal analyzing.
Rolling Candle Closes Summationscript to sum rolling 20 (default) period's prices together
use on volume indicators to get the likes of McClellan Summation
User selection: rolling periods to add
