Forex Relative Strength MatrixTraders often feel uncertain about which Forex pair to open a position with. This indicator is designed to help in that regard.
This indicator was created as described in the book Swing Trading with Heiken Ashi and Stochastics. In the original, the author suggests using it for swing trading. The author recommends applying it to a monthly chart with an 8-period moving average to analyze the context.
The logic of the indicator is to measure the relative strength of each currency by checking if the price of each Forex pair is above or below a chosen moving average. If the price is above the moving average, the base currency is awarded 1 point, indicating strength. If below, it scores 0, indicating weakness. By accumulating points across multiple pairs, the indicator ranks currencies from strongest to weakest, helping traders identify potential pairs for trading.
Trend Identification:
After identifying relative strength, the trader should observe the general trend using a 100-period SMA on 4-hour charts. If the price is above the SMA, the trend is bullish; if below, it is bearish.
Buy Logic:
A buy is triggered when the base currency is strong (price is above the moving average) and the quote currency is weak (price is below the moving average). After identifying the trend direction, the entry is confirmed by a color change in Heiken Ashi candles (from red to green in an uptrend) and a stochastic crossover in the trend’s direction.
Sell Logic:
A sell is triggered when the base currency is weak (price is below the moving average) and the quote currency is strong (price is above the moving average). The sell entry is confirmed by a color change in Heiken Ashi candles (from green to red in a downtrend) and a stochastic crossover aligned with the trend.
Entry Chart:
The entry chart used is the 4-hour chart. The trader should look for entry signals following a pullback in the trend direction, using Heiken Ashi candles. Entry is made when the Heiken Ashi candles change color (from red to green in an uptrend) and there is a smooth crossover of the stochastic indicator in the trend’s direction.
It would also be possible to adapt the indicator for day trading strategies with targets of 1 to 2 days. Here is a recommended setup:
Relative Strength Identification (1-Hour Chart):
Instead of monthly charts, use a 1-hour chart to identify currency strength with a 20-period moving average.
The 20-period moving average on the 1-hour chart captures a balanced view of short- to medium-term direction, covering nearly a day’s worth of trading but with enough sensitivity for day trading.
General Trend (5-Minute Chart with 100 SMA):
On the 5-minute chart, observe the 100-period SMA to identify the general trend direction throughout the day.
Price above the 100 SMA indicates an uptrend, and below indicates a downtrend, confirming the movement in shorter timeframes.
Entry Chart and Signals (5-Minute Chart):
Use the 15-minute chart to look for entry opportunities, focusing on pullbacks in the main trend direction.
Entry Signals: Enter the position when Heiken Ashi candles change color in the trend direction (from red to green in an uptrend) and the stochastic indicator makes a smooth crossover in the trend’s direction.
Strength
Trend Strength After Reversal
This indicator measures trend strength after the reversal.
It can catch early reversal based on engulfing candlestick pattern or just the regular reversal.
Every reversal have to be confirmed by a close above reversal pattern.
Trend strength is measured by counting subsequent closing confirming the reversal
Strength/Weakness IndicatorThe Strength/Weakness Indicator is a customisable tool designed to help traders identify key areas of market strength and weakness based on the 50% Fibonacci retracement level .
█ Underlying Concept:
The concept behind this indicator draws heavily on the principles of Fibonacci retracement and WD Gann’s market theories , particularly the importance of the 50% level in signalling critical psychological areas of support and resistance. Historically, the 50% retracement level has been regarded as a key marker where markets either find new buyers/sellers or continue a trend. Gann himself placed significant emphasis on the halfway point of a previous market move as a critical level for market strength and reversal.
Strength : When an asset is trading above the 50% retracement level, it suggests that buyers are in control and that the market is showing strength. This is particularly useful for traders aiming to ride the continuation of an uptrend.
Weakness : Conversely, when the price falls below the 50% retracement level, it indicates that sellers are dominating, and the market is showing signs of weakness. This can be an early indication of a potential reversal or further decline.
█ Key Features:
1 — Multi-Timeframe Fibonacci Analysis :
This indicator supports up to two distinct retracement levels, allowing traders to analyse multiple timeframes simultaneously. Customise the look-back periods for each level to track the highest high and lowest low over your chosen period.
The tool is adaptable to short-term, swing trading, and long-term investing, making it useful across different trading styles.
2 — Dynamic Strength/Weakness Labelling :
The script dynamically calculates and displays whether the asset is “STRONG” or “WEAK” based on its position relative to the 50% retracement levels. If the price is above both levels, it is considered "VERY STRONG." Conversely, trading below both levels signals "VERY WEAK" conditions. This real-time feedback helps traders gauge market sentiment with ease.
3 — Customizable Visual Representation :
Both retracement levels are fully customisable, including line colours, styles, and thicknesses. The script offers custom background fills—highlighting areas of strength (green) and weakness (red)—to provide a clear visual aid for identifying key price zones.
Traders can modify the appearance of text labels (size, colour, position) and choose whether to extend lines left, right, both directions, or not at all.
4 — Cross-Timeframe Validation :
Traders can cross-reference price action between two timeframes to confirm trends. If both levels signal strength or weakness, it validates market momentum, increasing confidence in trade decisions.
5 — Strategic Decision-Making Aid :
The indicator aids in identifying support and resistance zones based on the 50% retracement level. Use it to time entries and exits effectively: price above the 50% level suggests potential trend continuation, while falling below may indicate reversal.
█ How It Works:
1 — Defining Custom Timeframes :
The trader selects custom time periods (days, weeks, months, or years) to calculate the highest high and lowest low, allowing precise control over the analysis.
2 — Calculating Strength/Weakness :
Once the 50% retracement level is calculated, the price’s position relative to it determines the market’s condition. Above 50% signals strength, below signals weakness.
3 — Comparing Multiple Timeframes :
Enable a second retracement level to compare different time periods. This feature is useful for spotting divergences between short-term and long-term trends or validating strength across timeframes.
█ How to Use:
1 — Assess Market Conditions :
If price trades above both 50% retracement levels, it indicates strong bullish momentum. Conversely, trading below both levels signals bearish conditions.
2 — Plan Entries/Exits :
Use the 50% level as a reference for support and resistance. Plan to enter when the price bounces off the 50% level, or exit if it breaks down below this critical level.
3 — Cross-Timeframe Analysis :
Validate the market trend by comparing retracement levels across different timeframes. This helps in confirming whether the trend is strong enough to justify holding a position.
█ Why This Indicator is Unique:
Comprehensive Multi-Timeframe Analysis : While most Fibonacci indicators focus on a single period, this tool provides a deeper understanding by allowing traders to compare price action across multiple timeframes.
Customizable and Dynamic : The real-time strength/weakness labeling, customizable background fills, and the ability to analyze two retracement levels simultaneously make this tool adaptable to any trading strategy.
Valuable for All Traders : Whether you are day trading, swing trading, or investing long-term, the Strength/Weakness Indicator offers clarity on key market levels and sentiment, improving decision-making for entries and exits.
Disclaimer : This script is for educational purposes and is not financial advice. Trading involves significant risk, so please consult a professional advisor before making investment decisions. For the best results, use this indicator alongside other technical analysis methods like trend lines or moving averages to help you confirm signals and make more informed decisions.
Candle Closing Strength Indicator (CCS)This indicator measures and displays the closing strength of each candle relative to its range.
It assigns a value from 0 to 100, where
- 0 indicates a close at the candle's low,
- 100 indicates a close at the high, and
- 50 represents a close at the midpoint.
The strength is shown as a number on each candle, color-coded green for values 50 and above (bullish) and red for values below 50 (bearish). This visual representation helps traders quickly assess the strength and direction of price movements across different timeframes.
This is only the price action strength. Further strength can be verified with volume.
Intramarket Difference Index StrategyIntramarket Difference Indicator (IDI) Strategy:
In layman’s terms this strategy compares two indicators across (correlated) markets and exploits their differences.
📍 Import Notes:
This Strategy calculates trade position size independently, this means that the ‘Order size’ input in the ‘Properties’ tab will have no effect on the strategy. Why ? because this allows us to define custom position size algorithms which we can use to improve our risk management and equity growth over time. Here we have the option to have fixed quantity or fixed percentage of equity ATR (Average True Range) based stops in addition to the turtle trading position size algorithm.
‘Pyramiding’ does not work for this strategy’, similar to the order size input togeling this input will have no effect on the strategy as the strategy explicitly defines the maximum order size to be 1.
This strategy is not perfect, and as of writing of this post I have not traded this algo.
Always take your time to backtests and debug the strategy.
🔷 The IDI Strategy:
By default this strategy pulls data from your current TV chart and then compares it to the base market, be default BINANCE:BTCUSD . The strategy pulls SMA and RSI data from either market (we call this the difference data), standardizes the data (solving the different unit problem across markets) such that it is comparable and then differentiates the data, calling the result of this transformation and difference the Intramarket Difference (ID). The formula for the the ID is
ID = market1_diff_data - market2_diff_data (1)
Where
market(i)_diff_data = diff_data / ATR(j)_market(i)^0.5,
where i = {1, 2} and j = the natural numbers excluding 0
Formula (1) interpretation is the following
When ID > 0: this means the current market outperforms the base market
When ID = 0: Markets are at long run equilibrium
When ID < 0: this means the current market underperforms the base market
To form the strategy we define one of two strategy type’s which are Trend and Mean Revesion respectively.
🔸 Trend Case:
Given the ‘‘Strategy Type’’ is equal to TREND we define a threshold for which if the ID crosses over we go long and if the ID crosses under the negative of the threshold we go short.
The motivating idea is that the ID is an indicator of the two symbols being out of sync, and given we know volatility clustering, momentum and mean reversion of anomalies to be a stylised fact of financial data we can construct a trading premise. Let's first talk more about this premise.
For some markets (cryptocurrency markets - synthetic symbols in TV) the stylised fact of momentum is true, this means that higher momentum is followed by higher momentum, and given we know momentum to be a vector quantity (with magnitude and direction) this momentum can be both positive and negative i.e. when the ID crosses above some threshold we make an assumption it will continue in that direction for some time before executing back to its long run equilibrium of 0 which is a reasonable assumption to make if the market are correlated. For example for the BTCUSD - ETHUSD pair, if the ID > +threshold (inputs for MA and RSI based ID thresholds are found under the ‘‘INTRAMARKET DIFFERENCE INDEX’’ group’), ETHUSD outperforms BTCUSD, we assume the momentum to continue so we go long ETHUSD.
In the standard case we would exit the market when the IDI returns to its long run equilibrium of 0 (for the positive case the ID may return to 0 because ETH’s difference data may have decreased or BTC’s difference data may have increased). However in this strategy we will not define this as our exit condition, why ?
This is because we want to ‘‘let our winners run’’, to achieve this we define a trailing Donchian Channel stop loss (along with a fixed ATR based stop as our volatility proxy). If we were too use the 0 exit the strategy may print a buy signal (ID > +threshold in the simple case, market regimes may be used), return to 0 and then print another buy signal, and this process can loop may times, this high trade frequency means we fail capture the entire market move lowering our profit, furthermore on lower time frames this high trade frequencies mean we pay more transaction costs (due to price slippage, commission and big-ask spread) which means less profit.
Note it is possible that after printing a buy the strategy then prints many sell signals before returning to a buy, which again has the same implications. The image below showcases the theory above, by allowing our winner to run we may capture more profit.
Valid trades are denoted by solid green and red arrows respectively and all other valid trades which occur within the original signal are light green and red small arrows, if we were to close our trades when the IDI returns to its equilibrium of 0 our average bars per trade would be very low and we would not capture the general trend.
Note by capturing the sum of many momentum moves we are essentially following the trend hence the trend following strategy type.
Here we also print the IDI (with default strategy settings with the MA difference type), we can see that by letting our winners run we may catch many valid momentum moves, that results in a larger final pnl that if we would otherwise exit based on the equilibrium condition.
Note if you would like to plot the IDI separately copy and paste the following code in a new Pine Script indicator template.
indicator("IDI")
// INTRAMARKET INDEX
var string g_idi = "intramarket diffirence index"
ui_index_1 = input.symbol("BINANCE:BTCUSD", title = "Base market", group = g_idi)
// ui_index_2 = input.symbol("BINANCE:ETHUSD", title = "Quote Market", group = g_idi)
type = input.string("MA", title = "Differrencing Series", options = , group = g_idi)
ui_ma_lkb = input.int(24, title = "lookback of ma and volatility scaling constant", group = g_idi)
ui_rsi_lkb = input.int(14, title = "Lookback of RSI", group = g_idi)
ui_atr_lkb = input.int(300, title = "ATR lookback - Normalising value", group = g_idi)
ui_ma_threshold = input.float(5, title = "Threshold of Upward/Downward Trend (MA)", group = g_idi)
ui_rsi_threshold = input.float(20, title = "Threshold of Upward/Downward Trend (RSI)", group = g_idi)
//>>+----------------------------------------------------------------+}
// CUSTOM FUNCTIONS |
//<<+----------------------------------------------------------------+{
// construct UDT (User defined type) containing the IDI (Intramarket Difference Index) source values
// UDT will hold many variables / functions grouped under the UDT
type functions
float Close // close price
float ma // ma of symbol
float rsi // rsi of the asset
float atr // atr of the asset
// the security data
getUDTdata(symbol, malookback, rsilookback, atrlookback) =>
indexHighTF = barstate.isrealtime ? 1 : 0
= request.security(symbol, timeframe = timeframe.period,
expression = [close , // Instentiate UDT variables
ta.sma(close, malookback) ,
ta.rsi(close, rsilookback) ,
ta.atr(atrlookback) ])
data = functions.new(close_, ma_, rsi_, atr_)
data
// Intramerket Difference Index
idi(type, symbol1, malookback, rsilookback, atrlookback, mathreshold, rsithreshold) =>
threshold = float(na)
index1 = getUDTdata(symbol1, malookback, rsilookback, atrlookback)
index2 = getUDTdata(syminfo.tickerid, malookback, rsilookback, atrlookback)
// declare difference variables for both base and quote symbols, conditional on which difference type is selected
var diffindex1 = 0.0, var diffindex2 = 0.0,
// declare Intramarket Difference Index based on series type, note
// if > 0, index 2 outpreforms index 1, buy index 2 (momentum based) until equalibrium
// if < 0, index 2 underpreforms index 1, sell index 1 (momentum based) until equalibrium
// for idi to be valid both series must be stationary and normalised so both series hae he same scale
intramarket_difference = 0.0
if type == "MA"
threshold := mathreshold
diffindex1 := (index1.Close - index1.ma) / math.pow(index1.atr*malookback, 0.5)
diffindex2 := (index2.Close - index2.ma) / math.pow(index2.atr*malookback, 0.5)
intramarket_difference := diffindex2 - diffindex1
else if type == "RSI"
threshold := rsilookback
diffindex1 := index1.rsi
diffindex2 := index2.rsi
intramarket_difference := diffindex2 - diffindex1
//>>+----------------------------------------------------------------+}
// STRATEGY FUNCTIONS CALLS |
//<<+----------------------------------------------------------------+{
// plot the intramarket difference
= idi(type,
ui_index_1,
ui_ma_lkb,
ui_rsi_lkb,
ui_atr_lkb,
ui_ma_threshold,
ui_rsi_threshold)
//>>+----------------------------------------------------------------+}
plot(intramarket_difference, color = color.orange)
hline(type == "MA" ? ui_ma_threshold : ui_rsi_threshold, color = color.green)
hline(type == "MA" ? -ui_ma_threshold : -ui_rsi_threshold, color = color.red)
🔸 Mean Reversion Case:
We stated prior that mean reversion of anomalies is an standerdies fact of financial data, how can we exploit this ?
We exploit this by normalizing the ID by applying the Ehlers fisher transformation. We now assume our series is approximately normally distributed. To form the strategy we employ the same logic as for e the z score, if the FT normalized ID >< 2.5 or -2.5 respectively we buy or short respectively. We also employ the same exit conditions (fixed ATR stop and trailing Donchian Trailing stop)
🔷 Position Sizing:
If ‘‘Fixed Risk From Initial Balance’’ is toggled true this means we risk a fixed percentage of our initial balance, if false we risk a fixed percentage of our equity (current balance).
Note we also employ a volatility adjusted position sizing formula, the turtle training method which is defined as follows.
Turtle position size = (1/ r * ATR * DV) * C
Where,
r = risk factor coefficient (default is 20)
ATR(j) = risk proxy, over j times steps
DV = Dollar Volatility, where DV = (1/Asset Price) * Capital at Risk
🔷 Risk Management:
Correct money management means we can limit risk and increase reward (theoretically). Here we employ
Max loss and gain per day
Max loss per trade
Max number of consecutive losing trades until trade skip
To read more see the tooltips (info circle).
Note the ATR stop losses and take profits are defined, with the prior being default.
ATR SL and TP defined
🔷 Hurst Regime (Regime Filter):
The Hurst Exponent (H) aims to segment the market into three different states, Trending (H > 0.5), Random Geometric Brownian Motion (H = 0.5) and Mean Reverting / Contrarian (H < 0.5). In my interpretation this can be used as a trend filter that eliminates market noise.
We utilize the trending and mean reverting based states, as extra conditions required for valid trades both strategy types respectively, in the process increasing our trade entry quality.
🔷 Example model Architecture:
Here is an example of one configuration of this strategy, combining all aspect discussed in this post.
Enhanced Alligator Trend Indicator By Er. Parvez HaleemPurpose: The Enhanced Alligator Trend Indicator aims to identify strong and reliable buy and sell signals on the price chart by combining the Alligator Indicator with trend strength and volume filters. It is specifically designed for use on a 1-minute chart to enhance precision in short-term trading decisions.
Components:
Alligator Indicator:
Jaw Line (Blue): Calculated as a simple moving average (SMA) of the closing price over a specified period (default: 13 bars). Represents the long-term trend.
Teeth Line (Red): Calculated as a simple moving average (SMA) of the closing price over a shorter period (default: 8 bars). Represents the medium-term trend.
Lips Line (Green): Calculated as a simple moving average (SMA) of the closing price over an even shorter period (default: 5 bars). Represents the short-term trend.
Trend Strength Indicator:
Relative Strength Index (RSI): Measures the strength of the current trend, using a default period of 14 bars. RSI values above 50 suggest a bullish trend, while values below 50 suggest a bearish trend.
Volume Filter:
Volume Threshold: Filters signals based on trading volume to ensure they only appear when volume exceeds a specified threshold (default: 100,000). This helps to avoid low-volume noise and enhance signal reliability.
Additional Trend Filters:
Short-Term SMA: A simple moving average with a default period of 20 bars, used to assess short-term trend direction.
Long-Term SMA: A simple moving average with a default period of 50 bars, used to assess long-term trend direction.
SMA Crossover: A bullish crossover occurs when the short-term SMA is above the long-term SMA, and a bearish crossover occurs when the short-term SMA is below the long-term SMA.
Signal Generation:
Buy Signal: Generated when:
The Lips line is above the Teeth line, and the Teeth line is above the Jaw line (indicating a bullish alignment in the Alligator Indicator).
The RSI is above 50 (indicating strong bullish trend strength).
The trading volume exceeds the specified volume threshold (indicating sufficient trading activity).
The short-term SMA is above the long-term SMA (confirming a bullish trend).
Sell Signal: Generated when:
The Lips line is below the Teeth line, and the Teeth line is below the Jaw line (indicating a bearish alignment in the Alligator Indicator).
The RSI is below 50 (indicating strong bearish trend strength).
The trading volume exceeds the specified volume threshold (indicating sufficient trading activity).
The short-term SMA is below the long-term SMA (confirming a bearish trend).
Plotting on Chart:
Alligator Lines: The Jaw, Teeth, and Lips lines are plotted directly on the price chart in blue, red, and green, respectively, to indicate the long-term, medium-term, and short-term trends.
Buy/Sell Signals: Buy signals are plotted below the price bars in green, and sell signals are plotted above the price bars in red. These signals are marked with labels ("BUY" and "SELL") to clearly indicate trading opportunities.
Debugging: RSI and SMA lines are plotted but hidden by default. They can be revealed for verification purposes to ensure the correctness of the indicator’s calculations.
Alerts:
Buy Alert: Triggers when a buy signal condition is met, sending a notification that a buy opportunity has been identified.
Sell Alert: Triggers when a sell signal condition is met, sending a notification that a sell opportunity has been identified.
Relative Strength (Volatility Adjusted)The volatility adjusted relative strength indicator offers a more precise approach to traditional RS indicators by incorporating volatility adjustments into its calculations. This will provide traders with a more nuanced view of relative performance between a selected instrument and a comparison index.
Identifying Relative Strength (RS) and Weakness (RW) against a benchmark like the SPY is crucial for traders, as it highlights institutional activity in an equity, which retail traders rarely achieve on their own. However, the traditional method of simply comparing the rate of change of a stock to the rate of change for the SPY can be flawed. This method often fails to account for the inherent volatility of each stock, leading to misleading RS/RW readings.
Consider two stocks that both move in response to SPY's movements. If SPY moves significantly more than its average (measured by its ATR), and the stock does the same, traditional RS calculations might show strength when, in fact, the stock is just mirroring SPY's increased volatility. For instance, if SPY typically moves $0.25 an hour but suddenly moves $1, and a stock typically moves $0.50 but moves $2, the stock's apparent RS might be overstated, when in reality there is no relative strength for the stock.
By adjusting for volatility using the ATR (Average True Range), we normalize these movements and get a clearer picture of true RS/RW. For example, if SPY moves 5 times its average rate and a stock moves the same multiple of its own ATR, the RS should be considered neutral rather than strong. Similarly if a stock in absolute terms moves $1 while the SPY also moves $1 but the stock usually moves at twice the rate of the SPY, the stock should be considered relatively weak - not neutral.
Usage
Use this to identify stocks with actual strength or weakness compared to the market.
When the RS line is above 0 and above the moving average it indicates a stock with relative strength that is still gaining more strength.
When the RS line is above 0 but above the moving average it indicates a stock with relative strength that is currently losing strength.
When the RS line is below 0 and below the moving average it indicates a stock with relative weakness that is still losing strength.
When the RS line is below 0 but above the moving average it indicates a stock with relative weakness that is starting to gain back some strength.
ZORZOR (Zone of Outperformance Ratio) with Supporting Indicators
This custom indicator introduces an approach to measuring asset performance through the Zone of Outperformance Ratio (ZOR), complemented by two supporting indicators for comprehensive market analysis.
1. ZOR (Zone of Outperformance Ratio)
The ZOR is the cornerstone of this indicator, offering a unique perspective on an asset's performance across multiple time zones:
Measures the degree of an asset's outperformance against a benchmark (default: NSE:NIFTY) across different time zones
Utilizes a weighted multi-timeframe approach for a holistic performance view
Combines performance ratios from 63, 126, 189, and 252-day zones and results in a score between 0-99, with higher scores indicating stronger outperformance across zones
Key Features:
Fully configurable weights for each timeframe (63, 126, 189, 252 days)
Customizable benchmark symbol
Color-coded display: Blue for scores ≥60 (strong performance), Red for scores <60 (weaker performance)
2. Supporting Indicators
To enhance analysis and provide context to the ZOR score, two additional indicators are included:
a) Distance to 52-week High:
Calculates the percentage distance between current price and 52-week high
Color-coded for quick interpretation:
Yellow-green when price is above 52-week high
Dark green when price is below 52-week high
Helps identify potential overbought conditions or breakout scenarios
b) Distance to EMA:
Shows percentage distance from current price to a user-defined EMA (default: 21-day)
Helps gauge short-term momentum relative to the trend
Useful for identifying potential mean reversion opportunities
Originality and Usefulness
The ZOR indicator offers a fresh perspective on relative performance by:
Combining multiple timeframes into a single, easy-to-interpret score
Applying a non-linear transformation to emphasize recent performance
Providing a flexible framework for comparing assets against any chosen benchmark
The supporting indicators complement the ZOR by offering additional context:
Distance to 52-week High helps identify potential trend strength and breakout scenarios
Distance to EMA provides insights into short-term momentum and potential mean reversion
This combination allows traders to:
Quickly identify outperforming assets across multiple timeframes
Assess whether an asset is extended from its long-term highs or short-term average
Make more informed decisions by considering relative performance, trend strength, and momentum in a single view
How to Use
1. Add the indicator to your chart
2. Customize settings in the indicator properties:
- Set benchmark symbol
- Toggle visibility of supporting indicators
- Customize EMA length for Distance to EMA
- Adjust ZOR calculation weights(Optional)
3. Interpret the color-coded labels:
- ZOR: Blue (strong performance) or Red (weaker performance)
- Distance to High: Yellow-green (above 52-week high) or Dark green (below)
- Distance to EMA: Purple label showing percentage
4. Use in conjunction with other technical and fundamental analysis for comprehensive trading decisions
This indicator provides a unique, multi-faceted approach to performance analysis, combining relative strength measurement with trend and momentum indicators for a holistic market view.
RSI DeviationAn oscillator which de-trends the Relative Strength Index. Rather, it takes a moving average of RSI and plots it's standard deviation from the MA, similar to a Bollinger %B oscillator. This seams to highlight short term peaks and troughs, Indicating oversold and overbought conditions respectively. It is intended to be used with a Dollar Cost Averaging strategy, but may also be useful for Swing Trading, or Scalping on lower timeframes.
When the line on the oscillator line crosses back into the channel, it signals a trade opportunity.
~ Crossing into the band from the bottom, indicates the end of an oversold condition, signaling a potential reversal. This would be a BUY signal.
~ Crossing into the band from the top, indicates the end of an overbought condition, signaling a potential reversal. This would be a SELL signal.
For ease of use, I've made the oscillator highlight the main chart when Overbought/Oversold conditions are occurring, and place fractals upon reversion to the Band. These repaint as they are calculated at close. The earliest trade would occur upon open of the following day.
I have set the default St. Deviation to be 2, but in my testing I have found 1.5 to be quite reliable. By decreasing the St. Deviation you will increase trade frequency, to a point, at the expense of efficiency.
Cheers
DJSnoWMan06
Dynamic Candle StrengthHow It Works
Initialization of Dynamic Levels:
The first candle's high and low are taken as the initial dynamic high and dynamic low levels.
If the next candle's close price is above the dynamic high, the candle is colored green, indicating bullish conditions.
If the next candle's close price is below the dynamic low, the candle is colored black, indicating bearish conditions.
If a candle's high and low crossed both the dynamic high and dynamic low, the dynamic high and low levels are updated to the high and low of that candle, but the candle color will continue with the same color as the previous candle.
Maintaining and Updating Dynamic Levels:
The dynamic high and low are only updated if a candle's close is above the current dynamic high or below the current dynamic low.
If the candle does not close above or below these levels, the dynamic high and low remain unchanged.
Visual Signals:
Green Bars: Indicate that the candle's close is above the dynamic high, suggesting bullish conditions.
Black Bars: Indicate that the candle's close is below the dynamic low, suggesting bearish conditions.
This method ensures that the dynamic high and low levels are adjusted in real-time based on the most recent significant price movements, providing a reliable measure of market sentiment.
RSI Confirm Trend with Williams (W%R)RSI Confirm Trend with Williams (W%R)
This is the "RSI Confirm Trend with Williams (W%R)" indicator
This is a modification of the "RSI Trends" indicator by zzzcrypto123.
What Is the Relative Strength Index (RSI)?
The relative strength index (RSI) is a momentum indicator used in technical analysis. RSI measures the speed and magnitude of a security's recent price changes to evaluate overvalued or undervalued conditions in the price of that security.
What is Williams %R?
Williams %R, also known as the Williams Percent Range, is a type of momentum indicator that moves between 0 and -100 and measures overbought and oversold levels. The Williams %R may be used to find entry and exit points in the market. The indicator is very similar to the Stochastic oscillator and is used in the same way. It was developed by Larry Williams and it compares a stock’s closing price to the high-low range over a specific period, typically 14 days or periods.
How Does "RSI Confirm Trend with Williams (W%R)" work?
This indicator combines the momentum of both RSI and Williams %R by adding upper and lower thresholds. When the thresholds are broken, this indicator changes color from gray to either green or red.
What Are The Thresholds?
The default RSI thresholds are 55 and 45. These values are configurable.
The default Williams %R thresholds are 80 and 20. These values are configurable and made positive so it can be plotted against the RSI line.
How To Use?
When the RSI exceeded the upper/lower thresholds, the RSI line color will change from gray to lighter green/red color.
When the Williams %R exceeded the upper/lower thresholds, the RSI color will change to darker green/red color signifying a strong momentum in that direction.
When the RSI color is gray, this means the RSI and Williams %R thresholds are not broken which can also signify as no trend or consolidation.
The Williams %R line is not displayed by default but can be enabled using the checkbox provided in the Style tab.
This "RSI Confirm Trend with Williams (W%R)" indicator can be combined with other technical indicators to verify the idea behind this theory.
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Disclaimer
The information contained in this indicator does not constitute any financial advice or a solicitation to buy or sell any securities of any type.
My scripts/indicators/ideas are for educational purposes only!
RSI AcceleratorThe Relative Strength Index (RSI) is like a fitness tracker for the underlying time series. It measures how overbought or oversold an asset is, which is kinda like saying how tired or energized it is.
When the RSI goes too high, it suggests the asset might be tired and due for a rest, so it could be a sign it's gonna drop. On the flip side, when the RSI goes too low, it's like the asset is pumped up and ready to go, so it might be a sign it's gonna bounce back up. Basically, it helps traders figure out if a stock is worn out or revved up, which can be handy for making decisions about buying or selling.
The RSI Accelerator takes the difference between a short-term RSI(5) and a longer-term RSI(14) to detect short-term movements. When the short-term RSI rises more than the long-term RSI, it typically refers to a short-term upside acceleration.
The conditions of the signals through the RSI Accelerator are as follows:
* A bullish signal is generated whenever the Accelerator surpasses -20 after having been below it.
* A bearish signal is generated whenever the Accelerator breaks 20 after having been above it.
RSI Overbought/Oversold [Overlay Highlighter]Indicator to show when the RSI is in oversold(Below 30) or overbought (Above 70) conditions. The background color of the chart changes colors in the areas where the above conditions are met.
Price can often reverse in these areas. However, this depends on the strength of the trend and price may continue higher or lower in the direction of the overall trend.
Divergence has been added to aid the user in timing reversals. Divergences are plotted by circles above or below the candles. Divergence is confirmed so there is a delay of one candle before the signal is given on the previous candle. Again, everything depends on the strength of the trend so use proper risk management.
Once the RSI has entered into oversold/overbought conditions, it is recommended to wait for divergence before entering into the trade near areas of support or resistance. It is recommended to utilize this strategy on the H4 timeframe, however, this particular strategy works on all timeframes.
This indicator is a modified version of seoco's RSI Overbought/Oversold + Divergence Indicator . The user interface has been refined, is now overlayed on the chart, and my own divergence code has been inserted.
RSI over screener (any tickers)█ OVERVIEW
This screener allow you to watch up to 240 any tickers you need to check RSI overbought and oversold using multiple periods, including the percentage of RSIs of different periods being overbought/oversold, as well as the average between these multiple RSIs.
█ THANKS
LuxAlgo for his RSI over multi length
I made function for this RSI and screener based on it.
allanster for his amazing idea how to split multiple symbols at once using a CSV list of ticker IDs
█ HOW TO USE
- hide chart:
- add 6 copies of screener
- change list number at settings from 1 to 6
- add you tickers
Screener shows signals when RSI was overbought or oversold and become to 0, this signal you may use to enter position(check other market condition before enter).
At settings you cam change Prefics, Appendix and put you tickers.
limitations are:
- max 40 tickers for one list
- max 4096 characters for one list
- tickers list should be separated by comma and may contains one space after the comma
By default it shows almost all BINANCE USD-M USDT tickers
Also you can adjust table for your screen by changing width of columns at settings.
If you have any questions or suggestions write comment or message.
Supertrended RSI [AlgoAlpha]🚀📈 Introducing the Supertrended RSI Indicator by AlgoAlpha!
Designed to empower your trading decisions, this innovative Pine Script™ creation marries the precision of the Relative Strength Index (RSI) with the dynamic prowess of the SuperTrend methodology. Whether you’re charting the course of cryptos, riding the waves of stock markets, or navigating the futures landscape, our SuperTrended RSI Indicator is your go-to tool for uncovering unique trend insights and crafting trading strategies. 🌟
Key Features:
🔍 Enhanced RSI Analysis: Combines the traditional RSI with a supertrend calculation for a dynamic look at market trends.
🔄 Multiple Moving Averages: Offers a selection of moving averages including SMA, HMA, EMA, and more for tailored analysis.
🎨 Customizable Visuals: Choose your own color scheme for uptrends and downtrends to match your trading dashboard.
📊 Flexible Input Settings: Tailor the indicator with customizable lengths, factors, and smoothing options.
⚡ Real-Time Alerts: Set alerts for bullish and bearish reversals to stay ahead of market movements.
Quick Guide to Using the Supertrended RSI Indicator
Maximize your trading with the Supertrended RSI by following these streamlined steps! 🚀✨
🛠 Add the Indicator: Search for "Supertrended RSI " in TradingView's Indicators & Strategies. Customize settings like RSI length, MA type, and Supertrend factors to fit your trading style.
🎨 Visual Customization: Adjust uptrend and downtrend colors for clear trend visualization.
📊 Market Analysis: Watch for the Supertrend color change for trend reversals. Use the 70 and 30 lines to spot overbought/oversold conditions.
🔔 Alerts: Enable notifications for reversal conditions to capture trading opportunities without constant chart monitoring.
How It Works:
At the core of this indicator is the combination of the Relative Strength Index (RSI) and the Supertrend framework, it does so by applying the SuperTrend on the RSI. The RSI settings can be adjusted for length and smoothing, with the option to select the data source. The Supertrend calculation takes into account a specified trend factor and the Average True Range (ATR) over a given period to determine trend direction.
Visual elements include plotting the RSI, its moving average, and the Supertrend line, with customizable colors for clarity. Overbought and oversold conditions are highlighted, and trend changes are filled with distinct colors.
🔔 Alerts: Enable alerts for crossover and crossunder events to catch every trading opportunity.
🌈 Whether you're a seasoned trader or just starting, the Supertrended RSI offers a fresh perspective on market trends. 📈
💡 Tip: Experiment with different settings to find the perfect balance for your trading style!
🔗 Explore, customize, and enhance your trading experience with the Supertrended RSI Indicator! Happy trading! 🎉
Relative Strength Scatter Plot [LuxAlgo]The Relative Strength Scatter Plot indicator is a tool that shows the historical performance of various user-selected securities against a selected benchmark.
This tool is inspired by Relative Rotation Graphs®. Relative Rotation Graphs® is a registered trademark of JOOS Holdings B.V. This script is neither endorsed, nor sponsored, nor affiliated with them.
🔶 USAGE
This tool depicts a simple scatter plot using the relative strength ratio as the X-axis and its momentum as the Y-axis of the user-selected symbols against the selected benchmark.
The graph is divided into four quadrants, and the interpretation of the graph is done depending on where a point is situated on the graph:
A point in the green quadrant would indicate that the security is leading the benchmark in strength, with positive strength momentum.
A point in the yellow quadrant would indicate that the security is leading the benchmark in strength, with negative strength momentum.
A point in the blue quadrant would indicate that the security is lagging behind the benchmark in strength, with positive strength momentum.
A point in the red quadrant would indicate that the security is lagging behind the benchmark in strength, with negative strength momentum.
The trail of each symbol allows the user to see the evolution of the relative strength momentum relative to the relative strength ratio. The length of the trail can be controlled by the "Trail Length" setting.
🔶 DETAILS
Our relative strength ratio estimate is first obtained from the relative strength between the symbol of interest and the benchmark, the result is then smoothed using a linearly weighted moving average (wma). This result is then normalized with a wma of the smoothed relative strength, this ratio is again smoothed with the wma and multiplied by 100.
The relative strength momentum estimate is obtained from the ratio between the previously estimated RS-Ratio and its wma, this ratio is then multiplied by 100.
🔶 SETTINGS
Calculation Window: Calculation window of the RS-Ratio and RS-Momentum metrics.
Symbols: Symbols used for the computation of the graph, each settings line allows us to determine whether the symbol is to be displayed on the graph as well as its color.
Benchmark: Benchmark symbol used for the computation of the graph. Indices are commonly used as a benchmark.
🔹 Graph Settings
Trail Length: Number of past data points to display on the graph for each symbol.
Resolution: Controls the horizontal length of the graph.
MUJBOT - Multi-TF RSI Table
The "Multi-TF RSI Table" indicator is a comprehensive tool designed to present traders with a quick visual summary of the Relative Strength Index (RSI) across multiple timeframes, all within a single glance. It is crafted for traders who incorporate multi-timeframe analysis into their trading strategy, aiming to enhance decision-making by identifying overall market sentiment and trend direction. Here's a rundown of its features:
User Inputs: The indicator includes customizable inputs for the RSI and Moving Average (MA) lengths, allowing users to tailor the calculations to their specific trading needs. Additionally, there is an option to display or hide the RSI & MA table as well as to position it in various places on the chart for optimal visibility.
Multi-Timeframe RSI & MA Calculations: It fetches RSI and MA values from different timeframes, such as 1 minute (1m), 5 minutes (5m), 15 minutes (15m), 1 hour (1h), 4 hours (4h), and 1 day (1D). This multi-timeframe approach provides a thorough perspective of the momentum and trend across different market phases.
Trend and Sentiment Analysis: For each timeframe, the script determines whether the average RSI is above or below the MA, categorizing the trend as "Rising", "Falling", or "Neutral". Moreover, it infers market sentiment as "Bullish" or "Bearish", based on the relationship between the RSI and its MA.
Dynamic Color-Coding: The indicator uses color-coding to convey information quickly. It highlights the trend and sentiment cells in the table with green for "Bullish" and red for "Bearish" conditions. It also shades the timeframe cells based on the RSI value, with varying intensities of green for "Oversold" conditions and red for "Overbought" conditions, providing an immediate visual cue of extreme market conditions.
Customization and Adaptability: The script is designed with customization in mind, enabling users to adjust the RSI and MA lengths according to their trading strategy. Its adaptable interface, which offers the option to display or hide the RSI & MA table, ensures that the tool fits into different trading setups without cluttering the chart.
Ease of Use: By consolidating critical information into a simple table, the "Multi-TF RSI Table" indicator saves time and simplifies the analysis process for traders. It eliminates the need to switch between multiple charts or timeframes, thus streamlining the trading workflow.
In essence, the "Multi-TF RSI Table" is a powerful indicator for Pine Script users on TradingView, offering a multi-dimensional view of market dynamics. It is ideal for both novice and experienced traders who seek to enhance their technical analysis with an at-a-glance summary of RSI trends and market sentiment across various timeframes.
Relative Strength Trend Indicator (RSTI)This indicator is called the "Relative Strength Trend Indicator" (RSTI), designed to assess the relative strength of a trend.
Here is a detailed explanation of how it works and how traders can interpret it:
Indicator Operation:
1. Data Source (src): The indicator considers a data source, typically the closing price (close), but this can be adjusted according to the trader's preferences.
2. Period Length (Length): This determines the period used to calculate the simple moving average (SMA) of the data source. A longer period smoothes the indicator, while a shorter period makes it more responsive.
3. Multiplier (Multiplier): This is a multiplication factor applied to the Average True Range (ATR), adjusting the width of the bands.
4. Signal Length (Signal Length): This period is used to calculate the simple moving average of the relative strength (l_strength). It determines the sensitivity of the signal to changes in relative strength.
Interpretation of the Indicator:
1. Upper Strength Band (Upper Level): This line is drawn at 80 and represents a high strength level. When relative strength exceeds this value, it may indicate a potential overbought market.
2. Lower Strength Band (Lower Level): This line is drawn at 20 and represents a low strength level. When relative strength is below this value, it may indicate a potential oversold market.
3. RSTI Strength: The main line of the indicator, representing the calculated relative strength. When this line exceeds 50, it may indicate an uptrend, while a value below 50 may indicate a downtrend.
4. Filling Zones: These colored zones between levels 80 and 50, and between 50 and 20, can help quickly visualize relative strength. A colored zone above 50 indicates positive strength, while a colored zone below 50 indicates negative strength.
Qualities of the Indicator:
1. Adaptability: The use of ATR and the flexibility of parameters (length, multiplier, signal_length) allow the indicator to adapt to different market conditions.
2. Visual Clarity: Colored filling zones and horizontal lines make it easy to visualize relative strength levels.
3. Strength Signal: The signal line (RSTI Strength) allows traders to quickly spot changes in relative strength, facilitating decision-making.
4. Responsiveness: The combination of smoothed moving averages and relative strength indicators allows responsiveness to trend changes while reducing false signals.
It is essential to note that while this indicator can provide valuable insights, it is always recommended to use it in conjunction with other technical analysis tools for informed decision-making.
Donchian Channels StrengthTL;DR - A different approach calculating strength based on Donchain channels
My approach calculating strength by using the difference between price and donchain average. It is possible to use the highest/lowest value of a given source (like close) or to use the highest high/lowest low (by using the option 'include wicks') for the strength calculation
I added multiple moving averages which can be used in the calculations incl. SMMA (RMA) which is used in RSI calculation and works best for me.
Usage is similar to RSI: DC Strength oscillates between 0 and 100. Low values (<20) indicate a bearish situation while high values (>80) indicate bullish ones. Center line (50) crossings can also indicate a possible trend change.
Amazing Oscillator (AO) [Algoalpha]Description:
Introducing the Amazing Oscillator indicator by Algoalpha, a versatile tool designed to help traders identify potential trend shifts and market turning points. This indicator combines the power of the Awesome Oscillator (AO) and the Relative Strength Index (RSI) to create a new indicator that provides valuable insights into market momentum and potential trade opportunities.
Key Features:
Customizable Parameters: The indicator allows you to customize the period of the RSI calculations to fine-tune the indicator's responsiveness.
Visual Clarity: The indicator uses user-defined colors to visually represent upward and downward movements. You can select your preferred colors for both bullish and bearish signals, making it easy to spot potential trade setups.
AO and RSI Integration: The script combines the AO and RSI indicators to provide a comprehensive view of market conditions. The RSI is applied to the AO, which results in a standardized as well as a less noisy version of the Awesome Oscillator. This makes the indicator capable of pointing out overbought or oversold conditions as well as giving fewer false signals
Signal Plots: The indicator plots key levels on the chart, including the RSI threshold(Shifted down by 50) at 30 and -30. These levels are often used by traders to identify potential trend reversal points.
Signal Alerts: For added convenience, the indicator includes "x" markers to signal potential buy (green "x") and sell (red "x") opportunities based on RSI crossovers with the -30 and 30 levels. These alerts can help traders quickly identify potential entry and exit points.
Sector relative strength and correlation by KaschkoThis script provides a quick overview of the relative strength and correlation of the symbols in a sector by showing a line chart of the close prices on a percent scale with all symbols starting at zero at the left side of the chart. It allows a great deal of flexibility in the configuration of the sectors and symbols in it. The standard preset sectors cover the most important futures markets and their symbols.
However, up to ten sectors with up to ten symbols each can be freely configured. Each sector is defined by a single line that has the following format:
Sector name:Symbol suffix:List of comma separated symbols
For example, the first predefined sector is defined as follows.
Energies:1!:CL,HO,NG,RB
1. The name of the sector is "Energies"
2. The suffix is "1!", i.e., to each symbol in the list "1!" is appended to get the continous future for the given symbol root. When using stock, forex or other symbols, simply leave the suffix empty.
3. The list of comma separated symbols is "CL,HO,NG,RB", i.e. crude oil, heating oil, natural gas and gasoline. As the suffix is "1!", the actual symbols whose prices are shown are "CL1!","HO1!","NG1!" and "RB1!"
You can choose to use settlement-as-close and back-adjusted contracts. The sector can also be determined automatically ("Auto-select"). In this case, it is determined to which sector the symbol currently displayed in the main chart belongs and the script displays it in the context of the other symbols in the sector.
By selecting a suitable chart time frame and time range, you can quickly determine which symbols in the sector are stronger or weaker and which are more or less strongly correlated.
The following symbols are best suited for a quick trial, as the sectors are preset for these:
CL1!,ES1!,6A1!,6B1!,6c1!,6E1!,6J1!,6M1!,6N1!,6S1!,GC1!,GF1!,HE1!,HG1!,HO1!,LBR1!,LE1!,NG1!,NQ1!,PA1!,PL1!,RB1!,SI1!,YM1!,ZB1!,ZC1!,ZF1!,ZL1!,ZM1!,ZN1!,ZO1!,ZR1!,ZS1!,ZT1!,ZW1!,CC1!,CT1!,DX1!,KC1!,OJ1!,SB1!,RTY1!
You can also use the script to compare any symbols (e.g. different shares) with each other. Preferably use the "Custom" sector for this.
Volume and Price Z-Score [Multi-Asset] - By LeviathanThis script offers in-depth Z-Score analytics on price and volume for 200 symbols. Utilizing visualizations such as scatter plots, histograms, and heatmaps, it enables traders to uncover potential trade opportunities, discern market dynamics, pinpoint outliers, delve into the relationship between price and volume, and much more.
A Z-Score is a statistical measurement indicating the number of standard deviations a data point deviates from the dataset's mean. Essentially, it provides insight into a value's relative position within a group of values (mean).
- A Z-Score of zero means the data point is exactly at the mean.
- A positive Z-Score indicates the data point is above the mean.
- A negative Z-Score indicates the data point is below the mean.
For instance, a Z-Score of 1 indicates that the data point is 1 standard deviation above the mean, while a Z-Score of -1 indicates that the data point is 1 standard deviation below the mean. In simple terms, the more extreme the Z-Score of a data point, the more “unusual” it is within a larger context.
If data is normally distributed, the following properties can be observed:
- About 68% of the data will lie within ±1 standard deviation (z-score between -1 and 1).
- About 95% will lie within ±2 standard deviations (z-score between -2 and 2).
- About 99.7% will lie within ±3 standard deviations (z-score between -3 and 3).
Datasets like price and volume (in this context) are most often not normally distributed. While the interpretation in terms of percentage of data lying within certain ranges of z-scores (like the ones mentioned above) won't hold, the z-score can still be a useful measure of how "unusual" a data point is relative to the mean.
The aim of this indicator is to offer a unique way of screening the market for trading opportunities by conveniently visualizing where current volume and price activity stands in relation to the average. It also offers features to observe the convergent/divergent relationships between asset’s price movement and volume, observe a single symbol’s activity compared to the wider market activity and much more.
Here is an overview of a few important settings.
Z-SCORE TYPE
◽️ Z-Score Type: Current Z-Score
Calculates the z-score by comparing current bar’s price and volume data to the mean (moving average with any custom length, default is 20 bars). This indicates how much the current bar’s price and volume data deviates from the average over the specified period. A positive z-score suggests that the current bar's price or volume is above the mean of the last 20 bars (or the custom length set by the user), while a negative z-score means it's below that mean.
Example: Consider an asset whose current price and volume both show deviations from their 20-bar averages. If the price's Z-Score is +1.5 and the volume's Z-Score is +2.0, it means the asset's price is 1.5 standard deviations above its average, and its trading volume is 2 standard deviations above its average. This might suggest a significant upward move with strong trading activity.
◽️ Z-Score Type: Average Z-Score
Calculates the custom-length average of symbol's z-score. Think of it as a smoothed version of the Current Z-Score. Instead of just looking at the z-score calculated on the latest bar, it considers the average behavior over the last few bars. By doing this, it helps reduce sudden jumps and gives a clearer, steadier view of the market.
Example: Instead of a single bar, imagine the average price and volume of an asset over the last 5 bars. If the price's 5-bar average Z-Score is +1.0 and the volume's is +1.5, it tells us that, over these recent bars, both the price and volume have been consistently above their longer-term averages, indicating sustained increase.
◽️ Z-Score Type: Relative Z-Score
Calculates a relative z-score by comparing symbol’s current bar z-score to the mean (average z-score of all symbols in the group). This is essentially a z-score of a z-score, and it helps in understanding how a particular symbol's activity stands out not just in its own historical context, but also in relation to the broader set of symbols being analyzed. In other words, while the primary z-score tells you how unusual a bar's activity is for that specific symbol, the relative z-score informs you how that "unusualness" ranks when compared to the entire group's deviations. This can be particularly useful in identifying symbols that are outliers even among outliers, indicating exceptionally unique behaviors or opportunities.
Example: If one asset's price Z-Score is +2.5 and volume Z-Score is +3.0, but the group's average Z-Scores are +0.5 for price and +1.0 for volume, this asset’s Relative Z-Score would be high and therefore stand out. This means that asset's price and volume activities are notably high, not just by its own standards, but also when compared to other symbols in the group.
DISPLAY TYPE
◽️ Display Type: Scatter Plot
The Scatter Plot is a visual tool designed to represent values for two variables, in this case the Z-Scores of price and volume for multiple symbols. Each symbol has it's own dot with x and y coordinates:
X-Axis: Represents the Z-Score of price. A symbol further to the right indicates a higher positive deviation in its price from its average, while a symbol to the left indicates a negative deviation.
Y-Axis: Represents the Z-Score of volume. A symbol positioned higher up on the plot suggests a higher positive deviation in its trading volume from its average, while one lower down indicates a negative deviation.
Here are some guideline insights of plot positioning:
- Top-Right Quadrant (High Volume-High Price): Symbols in this quadrant indicate a scenario where both the trading volume and price are higher than their respective mean.
- Top-Left Quadrant (High Volume-Low Price): Symbols here reflect high trading volumes but prices lower than the mean.
- Bottom-Left Quadrant (Low Volume-Low Price): Assets in this quadrant have both low trading volume and price compared to their mean.
- Bottom-Right Quadrant (Low Volume-High Price): Symbols positioned here have prices that are higher than their mean, but the trading volume is low compared to the mean.
The plot also integrates a set of concentric squares which serve as visual guides:
- 1st Square (1SD): Encapsulates symbols that have Z-Scores within ±1 standard deviation for both price and volume. Symbols within this square are typically considered to be displaying normal behavior or within expected range.
- 2nd Square (2SD): Encapsulates those with Z-Scores within ±2 standard deviations. Symbols within this boundary, but outside the 1 SD square, indicate a moderate deviation from the norm.
- 3rd Square (3SD): Represents symbols with Z-Scores within ±3 standard deviations. Any symbol outside this square is deemed to be a significant outlier, exhibiting extreme behavior in terms of either its price, its volume, or both.
By assessing the position of symbols relative to these squares, traders can swiftly identify which assets are behaving typically and which are showing unusual activity. This visualization simplifies the process of spotting potential outliers or unique trading opportunities within the market. The farther a symbol is from the center, the more it deviates from its typical behavior.
◽️ Display Type: Columns
In this visualization, z-scores are represented using columns, where each symbol is presented horizontally. Each symbol has two distinct nodes:
- Left Node: Represents the z-score of volume.
- Right Node: Represents the z-score of price.
The height of these nodes can vary along the y-axis between -4 and 4, based on the z-score value:
- Large Positive Columns: Signify a high or positive z-score, indicating that the price or volume is significantly above its average.
- Large Negative Columns: Represent a low or negative z-score, suggesting that the price or volume is considerably below its average.
- Short Columns Near 0: Indicate that the price or volume is close to its mean, showcasing minimal deviation.
This columnar representation provides a clear, intuitive view of how each symbol's price and volume deviate from their respective averages.
◽️ Display Type: Circles
In this visualization style, z-scores are depicted using circles. Each symbol is horizontally aligned and represented by:
- Solid Circle: Represents the z-score of price.
- Transparent Circle: Represents the z-score of volume.
The vertical position of these circles on the y-axis ranges between -4 and 4, reflecting the z-score value:
- Circles Near the Top: Indicate a high or positive z-score, suggesting the price or volume is well above its average.
- Circles Near the Bottom: Represent a low or negative z-score, pointing to the price or volume being notably below its average.
- Circles Around the Midline (0): Highlight that the price or volume is close to its mean, with minimal deviation.
◽️ Display Type: Delta Columns
There's also an option to utilize Z-Score Delta Columns. For each symbol, a single column is presented, depicting the difference between the z-score of price and the z-score of volume.
The z-score delta essentially captures the disparity between how much the price and volume deviate from their respective mean:
- Positive Delta: Indicates that the z-score of price is greater than the z-score of volume. This suggests that the price has deviated more from its average than the volume has from its own average. Such a scenario could point to price movements being more significant or pronounced compared to the changes in volume.
- Negative Delta: Represents that the z-score of volume is higher than the z-score of price. This might mean that there are substantial volume changes, yet the price hasn't moved as dramatically. This can be indicative of potential build-up in trading interest without an equivalent impact on price.
- Delta Close to 0: Means that the z-scores for price and volume are almost equal, indicating their deviations from the average are in sync.
◽️ Display Type: Z-Volume/Z-Price Heatmap
This visualization offers a heatmap either for volume z-scores or price z-scores across all symbols. Here's how it's presented:
Each symbol is allocated its own horizontal row. Within this row, bar-by-bar data is displayed using a color gradient to represent the z-score values. The heatmap employs a user-defined gradient scale, where a chosen "cold" color represents low z-scores and a chosen "hot" color signifies high z-scores. As the z-score increases or decreases, the colors transition smoothly along this gradient, providing an intuitive visual indication of the z-score's magnitude.
- Cold Colors: Indicate values significantly below the mean (negative z-score)
- Mild Colors: Represent values close to the mean, suggesting minimal deviation.
- Hot Colors: Indicate values significantly above the mean (positive z-score)
This heatmap format provides a rapid, visually impactful means to discern how each symbol's price or volume is behaving relative to its average. The color-coded rows allow you to quickly spot outliers.
VOLUME TYPE
The "Volume Type" input allows you to choose the nature of volume data that will be factored into the volume z-score calculation. The interpretation of indicator’s data changes based on this input. You can opt between:
- Volume (Regular Volume): This is the classic measure of trading volume, which represents the volume traded in a given time period - bar.
- OBV (On-Balance Volume): OBV is a momentum indicator that accumulates volume on up bars and subtracts it on down bars, making it a cumulative indicator that sort of measures buying and selling pressure.
Interpretation Implications:
- For Volume Type: Regular Volume:
Positive Z-Score: Indicates that the trading volume is above its average, meaning there's unusually high trading activity .
Negative Z-Score: Suggests that the trading volume is below its average, signifying unusually low trading activity.
- For Volume Type: OBV:
Positive Z-Score: Signifies that “buying pressure” is above its average.
Negative Z-Score: Signifies that “selling pressure” is above its average.
When comparing Z-Score of OBV to Z-Score of price, we can observe several scenarios. If Z-Price and Z-Volume are convergent (have similar z-scores), we can say that the directional price movement is supported by volume. If Z-Price and Z-Volume are divergent (have very different z-scores or one of them being zero), it suggests a potential misalignment between price movement and volume support, which might hint at possible reversals or weakness.
Bollinger RSI BandsIndicator Description:
The "Bollinger RSI Bands" is an advanced technical analysis tool designed to empower traders with comprehensive insights into market trends, reversals, and overbought/oversold conditions. This multifaceted indicator combines the unique features of candle coloration and Bollinger Bands with the Relative Strength Index (RSI), making it an indispensable tool for traders seeking to optimize their trading strategies.
Purpose:
The primary purpose of the "Bollinger RSI Bands" indicator is to provide traders with a holistic view of market dynamics by offering the following key functionalities:
Candle Coloration: The indicator's signature candle colors - green for bullish and red for bearish - serve as a visual representation of the prevailing market trend, enabling traders to quickly identify and confirm market direction.
RSI-Based Moving Average: A smoothed RSI-based moving average is plotted, facilitating the detection of trend changes and potential reversal points with greater clarity.
RSI Bands: Upper and lower RSI bands, set at 70 and 30, respectively, help traders pinpoint overbought and oversold conditions, aiding in timely entry and exit decisions.
Bollinger Bands: In addition to RSI bands, Bollinger Bands are overlaid on the RSI-based moving average, offering insights into price volatility and highlighting potential breakout opportunities.
How to Use:
To maximize the utility of the "Bollinger RSI Bands" indicator, traders can follow these essential steps:
Candle Color Confirmation: Assess the color of the candles. Green candles signify a bullish trend, while red candles indicate a bearish trend, providing a clear and intuitive visual confirmation of market direction.
Overbought and Oversold Identification: Monitor price levels relative to the upper RSI band (70) for potential overbought signals and below the lower RSI band (30) for potential oversold signals, allowing for timely adjustments to trading positions.
Trend Reversal Recognition: Observe changes in the direction of the RSI-based moving average. A transition from bearish to bullish, or vice versa, can serve as a valuable signal for potential trend reversals.
Volatility and Breakout Opportunities: Keep a watchful eye on the Bollinger Bands. Expanding bands signify increased price volatility, often signaling forthcoming breakout opportunities.
Why Use It:
The "Bollinger RSI Bands" indicator offers traders several compelling reasons to incorporate it into their trading strategies:
Clear Trend Confirmation: The indicator's distinct candle colors provide traders with immediate confirmation of the current trend direction, simplifying trend-following strategies.
Precise Entry and Exit Points: By identifying overbought and oversold conditions, traders can make more precise entries and exits, optimizing their risk-reward ratios.
Timely Trend Reversal Signals: Recognizing shifts in the RSI-based moving average direction allows traders to anticipate potential trend reversals and adapt their strategies accordingly.
Volatility Insights: Bollinger Bands offer valuable insights into price volatility, aiding in the identification of potential breakout opportunities.
User-Friendly and Versatile: Despite its advanced features, the indicator remains user-friendly and versatile, catering to traders of all experience levels.
In summary, the "Bollinger RSI Bands" indicator is an indispensable tool for traders seeking a comprehensive view of market dynamics. With its unique combination of candle coloration and Bollinger Bands, it empowers traders to make more informed and strategic trading decisions, ultimately enhancing their trading outcomes.
Note: Always utilize this indicator in conjunction with other technical and fundamental analysis tools and exercise prudence in your trading decisions. Past performance is not indicative of future results.
