atheromeri RSI//@version=5
indicator(title="Relative Strength Index", shorttitle="RSI", format=format.price, precision=2, timeframe="", timeframe_gaps=true)
rsiLengthInput = input.int(14, minval=1, title="RSI Length", group="RSI Settings")
rsiSourceInput = input.source(close, "Source", group="RSI Settings")
calculateDivergence = input.bool(false, title="Calculate Divergence", group="RSI Settings", display = display.data_window, tooltip = "Calculating divergences is needed in order for divergence alerts to fire.")
change = ta.change(rsiSourceInput)
up = ta.rma(math.max(change, 0), rsiLengthInput)
down = ta.rma(-math.min(change, 0), rsiLengthInput)
rsi = down == 0 ? 100 : up == 0 ? 0 : 100 - (100 / (1 + up / down))
rsiPlot = plot(rsi, "RSI", color=#7E57C2)
rsiUpperBand = hline(70, "RSI Upper Band", color=#787B86)
midline = hline(50, "RSI Middle Band", color=color.new(#787B86, 50))
rsiLowerBand = hline(30, "RSI Lower Band", color=#787B86)
fill(rsiUpperBand, rsiLowerBand, color=color.rgb(126, 87, 194, 90), title="RSI Background Fill")
midLinePlot = plot(50, color = na, editable = false, display = display.none)
fill(rsiPlot, midLinePlot, 100, 70, top_color = color.new(color.green, 0), bottom_color = color.new(color.green, 100), title = "Overbought Gradient Fill")
fill(rsiPlot, midLinePlot, 30, 0, top_color = color.new(color.red, 100), bottom_color = color.new(color.red, 0), title = "Oversold Gradient Fill")
// Smoothing MA inputs
GRP = "Moving Average"
TT_BB = "Only applies when 'SMA + Bollinger Bands' is selected. Determines the distance between the SMA and the bands."
maTypeInput = input.string("SMA", "Type", options = , group = GRP, display = display.data_window)
maLengthInput = input.int(14, "Length", group = GRP, display = display.data_window)
bbMultInput = input.float(2.0, "BB StdDev", minval = 0.001, maxval = 50, step = 0.5, tooltip = TT_BB, group = GRP, display = display.data_window)
var enableMA = maTypeInput != "None"
var isBB = maTypeInput == "SMA + Bollinger Bands"
// Smoothing MA Calculation
ma(source, length, MAtype) =>
switch MAtype
"SMA" => ta.sma(source, length)
"SMA + Bollinger Bands" => ta.sma(source, length)
"EMA" => ta.ema(source, length)
"SMMA (RMA)" => ta.rma(source, length)
"WMA" => ta.wma(source, length)
"VWMA" => ta.vwma(source, length)
// Smoothing MA plots
smoothingMA = enableMA ? ma(rsi, maLengthInput, maTypeInput) : na
smoothingStDev = isBB ? ta.stdev(rsi, maLengthInput) * bbMultInput : na
plot(smoothingMA, "RSI-based MA", color=color.yellow, display = enableMA ? display.all : display.none)
bbUpperBand = plot(smoothingMA + smoothingStDev, title = "Upper Bollinger Band", color=color.green, display = isBB ? display.all : display.none)
bbLowerBand = plot(smoothingMA - smoothingStDev, title = "Lower Bollinger Band", color=color.green, display = isBB ? display.all : display.none)
fill(bbUpperBand, bbLowerBand, color= isBB ? color.new(color.green, 90) : na, title="Bollinger Bands Background Fill", display = isBB ? display.all : display.none)
// Divergence
lookbackRight = 5
lookbackLeft = 5
rangeUpper = 60
rangeLower = 5
bearColor = color.red
bullColor = color.green
textColor = color.white
noneColor = color.new(color.white, 100)
_inRange(bool cond) =>
bars = ta.barssince(cond)
rangeLower <= bars and bars <= rangeUpper
plFound = false
phFound = false
bullCond = false
bearCond = false
rsiLBR = rsi
if calculateDivergence
//------------------------------------------------------------------------------
// Regular Bullish
// rsi: Higher Low
plFound := not na(ta.pivotlow(rsi, lookbackLeft, lookbackRight))
rsiHL = rsiLBR > ta.valuewhen(plFound, rsiLBR, 1) and _inRange(plFound )
// Price: Lower Low
lowLBR = low
priceLL = lowLBR < ta.valuewhen(plFound, lowLBR, 1)
bullCond := priceLL and rsiHL and plFound
//------------------------------------------------------------------------------
// Regular Bearish
// rsi: Lower High
phFound := not na(ta.pivothigh(rsi, lookbackLeft, lookbackRight))
rsiLH = rsiLBR < ta.valuewhen(phFound, rsiLBR, 1) and _inRange(phFound )
// Price: Higher High
highLBR = high
priceHH = highLBR > ta.valuewhen(phFound, highLBR, 1)
bearCond := priceHH and rsiLH and phFound
plot(
plFound ? rsiLBR : na,
offset=-lookbackRight,
title="Regular Bullish",
linewidth=2,
color=(bullCond ? bullColor : noneColor),
display = display.pane
)
plotshape(
bullCond ? rsiLBR : na,
offset=-lookbackRight,
title="Regular Bullish Label",
text=" Bull ",
style=shape.labelup,
location=location.absolute,
color=bullColor,
textcolor=textColor
)
plot(
phFound ? rsiLBR : na,
offset=-lookbackRight,
title="Regular Bearish",
linewidth=2,
color=(bearCond ? bearColor : noneColor),
display = display.pane
)
plotshape(
bearCond ? rsiLBR : na,
offset=-lookbackRight,
title="Regular Bearish Label",
text=" Bear ",
style=shape.labeldown,
location=location.absolute,
color=bearColor,
textcolor=textColor
)
alertcondition(bullCond, title='Regular Bullish Divergence', message="Found a new Regular Bullish Divergence, `Pivot Lookback Right` number of bars to the left of the current bar.")
alertcondition(bearCond, title='Regular Bearish Divergence', message='Found a new Regular Bearish Divergence, `Pivot Lookback Right` number of bars to the left of the current bar.')
Trend Analysis
Zig Zag + Aroon StrategyBelow is a trading strategy that combines the Zig Zag indicator and the Aroon indicator. This combination can help identify trends and potential reversal points.
Zig Zag and Aroon Strategy Overview
Zig Zag Indicator:
The Zig Zag indicator helps to identify significant price movements and eliminates smaller fluctuations. It is useful for spotting trends and reversals.
Aroon Indicator:
The Aroon indicator consists of two lines: Aroon Up and Aroon Down. It measures the time since the highest high and the lowest low over a specified period, indicating the strength of a trend.
Strategy Conditions
Long Entry Conditions:
Aroon Up crosses above Aroon Down (indicating a bullish trend).
The Zig Zag indicator shows an upward movement (indicating a potential continuation).
Short Entry Conditions:
Aroon Down crosses above Aroon Up (indicating a bearish trend).
The Zig Zag indicator shows a downward movement (indicating a potential continuation).
Exit Conditions:
Exit long when Aroon Down crosses above Aroon Up.
Exit short when Aroon Up crosses above Aroon Down.
High Volume Candle BY TRADING STUDIOMany patterns are preferred and deemed the most reliable by different traders. Some of the most popular are: bullish/bearish engulfing lines; bullish/bearish long-legged doji; and bullish/bearish abandoned baby top and bottom.
WiseOwl Indicator - 1.0 The WiseOwl Indicator - 1.0 is a technical analysis tool designed to help traders identify potential entry points and market trends based on Exponential Moving Averages (EMAs) across multiple timeframes. It focuses on providing clear visual cues for bullish and bearish market conditions, as well as potential breakout opportunities.
Key Features
Multi-Timeframe EMA Analysis: Calculates EMAs on the current timeframe, Daily timeframe, and 15-minute timeframe to confirm trends.
Bullish and Bearish Market Identification: Determines market conditions based on the 200-period EMA on the Daily timeframe.
Directional Candle Coloring: Highlights candles based on their position relative to EMAs to provide immediate visual feedback.
Entry Signals: Plots buy and sell signals on the chart when specific conditions are met on the 1-hour and 4-hour timeframes.
Breakout Candle Highlighting: Colors candles differently when significant price movements occur, indicating potential breakout opportunities.
How It Works
Market Condition Determination:
Bullish Market: When the close price is above the 200-period EMA on the Daily timeframe.
Bearish Market: When the close price is below the 200-period EMA on the Daily timeframe.
Directional Candle Coloring:
Green Background: Applied when the close is above the 50-period EMA and the market is not bearish.
Red Background: Applied when the close is below the 50-period EMA and the market is not bullish.
Uses the Average True Range (ATR) to define a range threshold.
Suppresses signals when EMAs are within this range, indicating a sideways market.
Plotting Entry Signals:
Plots arrows on the chart for potential long and short entries on the 1-hour and 4-hour timeframes.
Breakout Candle Coloring:
Colors candles blue when a bullish breakout condition is met.
Colors candles orange when a bearish breakout condition is met.
How to Use
Trend Identification: Use the background coloring to quickly identify the overall market trend.
Green Background: Suggests bullish conditions; consider looking for long opportunities.
Red Background: Suggests bearish conditions; consider looking for short opportunities.
Entry Signals: Look for plotted arrows on the chart.
Green Upward Arrow: Indicates a potential long entry signal on the 1-hour or 4-hour timeframe.
Red Downward Arrow: Indicates a potential short entry signal on the 1-hour or 4-hour timeframe.
Breakout Opportunities: Watch for candles colored blue or orange.
Blue Candles: Highlight significant upward price movements.
Orange Candles: Highlight significant downward price movements.
Avoiding Ranging Markets: Be cautious when signals are suppressed due to ranging conditions; the market may not have a clear direction.
Example Usage
Identifying a Bullish Market:
The background turns green.
Price crosses above the 50 EMA.
A green upward arrow appears below a candle on the 1-hour or 4-hour chart.
Identifying a Bearish Market:
The background turns red.
Price crosses below the 50 EMA.
A red downward arrow appears above a candle on the 1-hour or 4-hour chart.
Notes
Open-Source Code: The script is open-source, allowing users to review and understand the logic behind the indicator.
Educational Purpose: This indicator is intended to aid in technical analysis and should not be used as the sole basis for trading decisions.
Disclaimer
This indicator is for educational purposes only and does not constitute financial advice. Trading involves risk, and you should consult with a qualified financial advisor before making any investment decisions.
Arshtiq - Multi-Timeframe Trend StrategyMulti-Timeframe Setup:
The script uses two distinct timeframes: a higher (daily) timeframe for identifying the trend and a lower (hourly) timeframe for making trades. This combination allows the script to follow the larger trend while timing entries and exits with more precision on a shorter timeframe.
Moving Averages Calculation:
higher_ma: The 20-period Simple Moving Average (SMA) calculated based on the daily timeframe. This average gives a sense of the larger trend direction.
lower_ma: The 20-period SMA calculated on the hourly (current) timeframe, providing a dynamic level for detecting entry and exit points within the broader trend.
Trend Identification:
Bullish Trend: The script determines that a bullish trend is present if the current price is above the daily moving average (higher_ma).
Bearish Trend: Similarly, a bearish trend is identified when the current price is below this daily moving average.
Trade Signals:
Buy Signal: A buy signal is generated when the price on the hourly chart crosses above the hourly 20-period MA, but only if the higher (daily) timeframe trend is bullish. This ensures that buy trades align with the larger upward trend.
Sell Signal: A sell signal is generated when the price on the hourly chart crosses below the hourly 20-period MA, but only if the daily trend is bearish. This ensures that sell trades are consistent with the broader downtrend.
Plotting and Visual Cues:
Higher Timeframe MA: The daily 20-period moving average is plotted in red to help visualize the long-term trend.
Buy and Sell Signals: Buy signals appear as green labels below the price bars with the text "BUY," while sell signals appear as red labels above the bars with the text "SELL."
Background Coloring: The background changes color based on the identified trend for easier trend recognition:
Green (with transparency) when the daily trend is bullish.
Red (with transparency) when the daily trend is bearish.
Fun Numbers Resistance (10k-1M)round numbers and human tradeable levels
eg
11111 "Repeating 1's"
12345 "Ascending 12345"
42069 "420 + 69 Meme"
71717.1 "Repeating 71's"
76543.21 "Countdown"
Price and TimeСкрипт для зон поодержки и сопротивления от белоруса для белоруса исходя из статистики
[Gw]Adaptive RSI Candles V1 (Refined)//@version=5
indicator(title=' Adaptive RSI Candles V1 (Refined)', shorttitle='ARC RSI', overlay=false)
// Inputs for RSI
rsiLength = input.int(title='RSI Length', defval=14)
multiplier = input.float(title='Range Multiplier:', defval=0.1)
SHOW_RSI_LINE = input.bool(title='Show RSI Line?', defval=true)
// RSI Calculation
rsiValue = ta.rsi(close, rsiLength)
// Calculate high and low values for RSI adaptive range
var float rsiHigh = na
var float rsiLow = na
rsiHigh := na(rsiHigh ) ? rsiValue : (rsiValue >= rsiHigh ? rsiValue : rsiHigh )
rsiLow := na(rsiLow ) ? rsiValue : (rsiValue <= rsiLow ? rsiValue : rsiLow )
rsiRange = (rsiHigh - rsiLow) * multiplier
// Adaptive average calculation for RSI
var float adaptiveRsi = na
adaptiveRsi := na(adaptiveRsi ) ? rsiValue : (rsiValue > adaptiveRsi + rsiRange ? rsiValue : (rsiValue < adaptiveRsi - rsiRange ? rsiValue : adaptiveRsi ))
// Preventing repainting
var float prevAdaptiveRsi = na
prevAdaptiveRsi := ta.valuewhen(ta.change(adaptiveRsi) != 0, adaptiveRsi, 1)
// Plot the adaptive RSI candles with reduced noise
plotcandle(prevAdaptiveRsi, rsiHigh, rsiLow, adaptiveRsi, color=adaptiveRsi > prevAdaptiveRsi ? color.lime : color.red)
// Option to plot the RSI line
plot(title='RSI', series=SHOW_RSI_LINE ? rsiValue : na, color=color.blue, linewidth=1)
// Plot Overbought, Oversold, and 50-Level Lines
hline(70, 'Overbought', color=color.red, linestyle=hline.style_dotted)
hline(50, 'Mid-Level', color=color.gray, linestyle=hline.style_solid)
hline(30, 'Oversold', color=color.green, linestyle=hline.style_dotted)
// Buy/Sell Labels Based on RSI 50-Level Crossover
longCondition = ta.crossover(rsiValue, 50)
shortCondition = ta.crossunder(rsiValue, 50)
if (longCondition)
label.new(bar_index, rsiValue, "Buy", color=color.green, textcolor=color.white, size=size.small, style=label.style_label_up)
if (shortCondition)
label.new(bar_index, rsiValue, "Sell", color=color.red, textcolor=color.white, size=size.small, style=label.style_label_down)
Money Magnet Kalem DSThis script is based on triple screen trading system by Dr. Alexander Elder.
PREREQUISITES:
1. Only suites for Dow Theory and Elliot Wave users
2. Advanced price action knowledge is required
3. Any profits or losses based on this indicator is every traders responsibilities, it has no guarantee to make absolute crazy profits
Depth Trend Indicator - RSIDepth Trend Indicator - RSI
This indicator is designed to identify trends and gauge pullback strength by combining the power of RSI and moving averages with a depth-weighted calculation. The script was created by me, Nathan Farmer and is based on a multi-step process to determine trend strength and direction, adjusted by a "depth" factor for more accurate signal analysis.
How It Works
Trend Definition Using RSI: The RSI Moving Average ( rsiMa ) is calculated to assess the current trend, using customizable parameters for the RSI Period and MA Period .
Trends are defined as follows:
Uptrend : RSI MA > Critical RSI Value
Downtrend : RSI MA < Critical RSI Value
Pullback Depth Calculation: To measure pullback strength relative to the current trend, the indicator calculates a Depth Percentage . This is defined as the portion of the gap between the moving average and the price covered by a pullback.
Depth-Weighted RSI Calculation: The Depth Percentage is then applied as a weighting factor on the RSI Moving Average , giving us a Weighted RSI line that adjusts to the depth of pullbacks. This line is rather noisy, and as such we take a moving average to smooth out some of the noise.
Key Parameters
RSI Period : The period for RSI calculation.
MA Period : The moving average period applied to RSI.
Price MA Period : Determines the SMA period for price, used to calculate pullback depth.
Smoothing Length : Length of smoothing applied to the weighted RSI, creating a more stable signal.
RSI Critical Value : The critical value (level) used in determining whether we're in an uptrend or a downtrend.
Depth Critical Value : The critical value (level) used in determining whether or not the depth weighted value confirms the state of a trend.
Notes:
As always, backtest this indicator and modify the parameters as needed for your specific asset, over your specific timeframe. I chose these defaults as they worked well on the assets I look at, but it is likely you tend to look at a different group of assets over a different timeframe than what I do.
Large pullbacks can create large downward spikes in the weighted line. This isn't graphically pleasing, but I have tested it with various methods of normalization and smoothing and found the simple smoothing used in the indicator to be best despite this.
Filha MalInspirado no Setup Filha Malcriada, esse tem o alvo abaixo da metade do corpo da vela de hoje
EMA 9 MultiTF_EMA18/20/34/44/50/68/98/100/136/198/200/250_<50%bcThis indicator is a combination of a 9 EMA multi-timeframe (weekly, daily, 4-hour, and 1-hour) that is equipped with various EMAs (18, 20, 34, 44, 50, 68, 98, 100, 136, 198, 200, 250) which can be displayed as desired and accompanied by less than 50% body candle.
Stockbee M20The Stockbee M20 Scan is a momentum scan designed to identify stocks with established short-term momentum. It highlights stocks that have moved significantly over the past 30 days, with bullish momentum indicated by a 20%+ increase from the lowest price and bearish momentum by a 20%+ decrease from the highest price. This scan helps traders spot potential setups and build watchlists of stocks that may offer continued movement.
This M20 Indicator serves as a study tool to visualize when stocks historically met these M20 conditions. It marks on the chart where a stock would have triggered the M20 scan, allowing traders to review past momentum patterns and evaluate current movers. An optional Keltner Channel filter further refines signals by excluding stocks that are overextended from their mean price, focusing only on entries closer to the average price.
M20 Conditions and Filter :
M20 Bullish: Price is 20%+ above the lowest point in the past 30 days.
M20 Bearish: Price is 20%+ below the highest point in the past 30 days.
Keltner Channel Filter: Exclude stocks trading outside the 20-period EMA ± 2x 10-period ATR bands.
EMA, SMA, BB & 5-21 StrategyThis Pine Script code displays Exponential Moving Averages (EMA) and Simple Moving Averages (MA) on a TradingView chart based on the user's selection. Users can choose to show EMA, MA, or both. The script includes predefined periods for both EMA ( ) and MA ( ). Each period is displayed in a different color, making it easy to distinguish between each line. This helps traders analyze trends, support, and resistance levels effectively. And Bollinger bands, 5-21 Strategy
Bu Pine Script kodu, Üstel Hareketli Ortalama (EMA) ve Basit Hareketli Ortalama (MA) çizgilerini TradingView grafiğinde kullanıcının seçimine göre gösterir. Kullanıcı EMA, MA veya her ikisini seçebilir. EMA için ve MA için periyotları tanımlıdır. Her çizgi farklı renkte gösterilir, bu da periyotları ayırt etmeyi kolaylaştırır. Bu gösterge, yatırımcıların trendleri, destek ve direnç seviyelerini analiz etmesine yardımcı olur.
On Balance Volume Oscillator of Trading Volume TrendOn Balance Volume Oscillator of Trading Volume Trend
Introduction
This indicator, the "On Balance Volume Oscillator of Trading Volume Trend," is a technical analysis tool designed to provide insights into market momentum and potential trend reversals by combining the On Balance Volume (OBV) and Relative Strength Index (RSI) indicators.
Calculation and Methodology
* OBV Calculation: The indicator first calculates the On Balance Volume, which is a cumulative total of the volume of up days minus the volume of down days. This provides a running tally of buying and selling pressure.
* RSI of OBV: The RSI is then applied to the OBV values to smooth the data and identify overbought or oversold conditions.
* Exponential Moving Averages (EMAs): Two EMAs are calculated on the RSI of OBV. A shorter-term EMA (9-period in this case) and a longer-term EMA (100-period) are used to generate signals.
Interpretation and Usage
* EMA Crossovers: When the shorter-term EMA crosses above the longer-term EMA, it suggests increasing bullish momentum. Conversely, a downward crossover indicates weakening bullish momentum or increasing bearish pressure.
* RSI Divergences: Divergences between the price and the indicator can signal potential trend reversals. For example, if the price is making new highs but the indicator is failing to do so, it could be a bearish divergence.
* Overbought/Oversold Conditions: When the RSI of OBV is above 70, it suggests the market may be overbought and a potential correction could be imminent. Conversely, when it is below 30, it suggests the market may be oversold.
Visual Representation
The indicator is plotted on a chart with multiple lines and filled areas:
* Two EMAs: The shorter-term EMA and longer-term EMA are plotted to show the trend of the OBV.
* Filled Areas: The area between the two EMAs is filled with a color to indicate the strength of the trend. The color changes based on whether the shorter-term EMA is above or below the longer-term EMA.
* RSI Bands: Horizontal lines at 30 and 70 mark the overbought and oversold levels for the RSI of OBV.
Summary
The On Balance Volume Oscillator of Trading Volume Trend provides a comprehensive view of market momentum and can be a valuable tool for traders. By combining the OBV and RSI, this indicator helps identify potential trend reversals, overbought and oversold conditions, and the strength of the current trend.
Note: This indicator should be used in conjunction with other technical analysis tools and fundamental analysis to make informed trading decisions.
Formation Defined Moving Support and ResistanceThe script was originally coded in 2018 with Pine Script version 3, and it was in protected code status. It has been updated and optimised for Pine Script v5 and made completely open source.
The Formation Defined Moving Support and Resistance indicator is a sophisticated tool for identifying dynamic support and resistance levels based on specific price formations and level interactions. This indicator goes beyond traditional static support and resistance by updating levels based on predefined formation patterns and market behaviour, providing traders with a more responsive view of potential support and resistance zones.
Features:
The indicator detects essential price levels:
Lower Low (LL)
Higher Low (HL)
Higher High (HH)
Lower High (LH)
Equal Lower Low (ELL)
Equal Higher Low (EHL)
Equal Higher High (EHH)
Equal Lower High (ELH)
By identifying these key points, the script builds a foundation for tracking and responding to changes in price structure.
Pre-defined Formations and Comparisons:
The indicator calculates and recognises nine different pre-defined formations, such as bullish and bearish formations, based on the sequence of price levels.
These formations are compared against previous levels and formations, allowing for a sophisticated understanding of recent market movements and momentum shifts.
This formation-based approach provides insights into whether the price is likely to maintain, break, or reverse key levels.
Dynamic Support and Resistance Levels:
The indicator offers an option to toggle Moving Support and Resistance Levels.
When enabled, the support and resistance levels dynamically adjust:
Upon a change in the detected formation.
When the bar’s closing price breaks the last defined support or resistance level.
This feature ensures that the support and resistance levels adapt quickly to market changes, giving a more accurate and responsive perspective.
Customisable Price Source:
Users can choose the price source for level detection, selecting between close or high/low prices.
This flexibility allows the indicator to adapt to different trading styles, whether the focus is on closing prices for more conservative levels or on highs and lows for more sensitive level tracking.
This indicator can benefit traders relying on dynamic support and resistance rather than fixed, historical levels. It adapts to recent price actions and market formations, making it useful for identifying entry and exit points, trend continuation or reversal, and setting trailing stops based on updated support and resistance levels.
High/Low Location Frequency [LuxAlgo]The High/Low Location Frequency tool provides users with probabilities of tops and bottoms at user-defined periods, along with advanced filters that offer deep and objective market information about the likelihood of a top or bottom in the market.
🔶 USAGE
There are four different time periods that traders can select for analysis of probabilities:
HOUR OF DAY: Probability of occurrence of top and bottom prices for each hour of the day
DAY OF WEEK: Probability of occurrence of top and bottom prices for each day of the week
DAY OF MONTH: Probability of occurrence of top and bottom prices for each day of the month
MONTH OF YEAR: Probability of occurrence of top and bottom prices for each month
The data is displayed as a dashboard, which users can position according to their preferences. The dashboard includes useful information in the header, such as the number of periods and the date from which the data is gathered. Additionally, users can enable active filters to customize their view. The probabilities are displayed in one, two, or three columns, depending on the number of elements.
🔹 Advanced Filters
Advanced Filters allow traders to exclude specific data from the results. They can choose to use none or all filters simultaneously, inputting a list of numbers separated by spaces or commas. However, it is not possible to use both separators on the same filter.
The tool is equipped with five advanced filters:
HOURS OF DAY: The permitted range is from 0 to 23.
DAYS OF WEEK: The permitted range is from 1 to 7.
DAYS OF MONTH: The permitted range is from 1 to 31.
MONTHS: The permitted range is from 1 to 12.
YEARS: The permitted range is from 1000 to 2999.
It should be noted that the DAYS OF WEEK advanced filter has been designed for use with tickers that trade every day, such as those trading in the crypto market. In such cases, the numbers displayed will range from 1 (Sunday) to 7 (Saturday). Conversely, for tickers that do not trade over the weekend, the numbers will range from 1 (Monday) to 5 (Friday).
To illustrate the application of this filter, we will exclude results for Mondays and Tuesdays, the first five days of each month, January and February, and the years 2020, 2021, and 2022. Let us review the results:
DAYS OF WEEK: `2,3` or `2 3` (for crypto) or `1,2` or `1 2` (for the rest)
DAYS OF MONTH: `1,2,3,4,5` or `1 2 3 4 5`
MONTHS: `1,2` or `1 2`
YEARS: `2020,2021,2022` or `2020 2021 2022`
🔹 High Probability Lines
The tool enables traders to identify the next period with the highest probability of a top (red) and/or bottom (green) on the chart, marked with two horizontal lines indicating the location of these periods.
🔹 Top/Bottom Labels and Periods Highlight
The tool is capable of indicating on the chart the upper and lower limits of each selected period, as well as the commencement of each new period, thus providing traders with a convenient reference point.
🔶 SETTINGS
Period: Select how many bars (hours, days, or months) will be used to gather data from, max value as default.
Execution Window: Select how many bars (hours, days, or months) will be used to gather data from
🔹 Advanced Filters
Hours of day: Filter which hours of the day are excluded from the data, it accepts a list of hours from 0 to 23 separated by commas or spaces, users can not mix commas or spaces as a separator, must choose one
Days of week: Filter which days of the week are excluded from the data, it accepts a list of days from 1 to 5 for tickers not trading weekends, or from 1 to 7 for tickers trading all week, users can choose between commas or spaces as a separator, but can not mix them on the same filter.
Days of month: Filter which days of the month are excluded from the data, it accepts a list of days from 1 to 31, users can choose between commas or spaces as separator, but can not mix them on the same filter.
Months: Filter months to exclude from data. Accepts months from 1 to 12. Choose one separator: comma or space.
Years: Filter years to exclude from data. Accepts years from 1000 to 2999. Choose one separator: comma or space.
🔹 Dashboard
Dashboard Location: Select both the vertical and horizontal parameters for the desired location of the dashboard.
Dashboard Size: Select size for dashboard.
🔹 Style
High Probability Top Line: Enable/disable `High Probability Top` vertical line and choose color
High Probability Bottom Line: Enable/disable `High Probability Bottom` vertical line and choose color
Top Label: Enable/disable period top labels, choose color and size.
Bottom Label: Enable/disable period bottom labels, choose color and size.
Highlight Period Changes: Enable/disable vertical highlight at start of period
M.Kiriti RSI with SMA & WMAThis script is a custom RSI indicator with added SMA and WMA moving averages to smooth RSI trends and improve analysis of momentum shifts.
1. RSI Calculation: Measures 14-period RSI of the closing price, default threshold levels at 70 (overbought) and 30 (oversold).
2. Moving Averages (SMA and WMA):
- SMA and WMA are applied to RSI for trend smoothing.
- SMA gives equal weight; WMA gives more weight to recent values, making it more responsive.
3.Overbought/Oversold Lines and Labels:
- Horizontal lines and scale labels at 70 (overbought) and 30 (oversold) make these levels easy to reference.
This indicator is useful for identifying potential reversal points and momentum trends when RSI crosses its moving averages.
US Party Rule Indicator**Here's a description you can use for the indicator:**
**US Party Rule Indicator**
This indicator visually represents the political party in power in the United States over a specified period. It overlays a colored 200-day Exponential Moving Average (EMA) on the chart. The color of the EMA changes to reflect the ruling party, providing a visual representation of political influence on market trends.
**Key Features:**
- **Dynamic Color-Coded EMA:** The 200-EMA changes color to indicate the party in power (Red for Republican, Blue for Democrat).
- **Clear Visual Representation:** The colored EMA provides an easy-to-understand visual cue for identifying periods of different political parties.
- **Historical Context:** By analyzing the historical data, you can gain insights into potential correlations between party rule and market trends.
**How to Use:**
1. **Add the Indicator:** Add the "US Party Rule Indicator" to your chart.
2. **Interpret the Color:** The color of the 200-EMA indicates the ruling party at that time.
3. **Analyze Market Trends:** Use the indicator to identify potential correlations between political events and market movements.
**Note:** This indicator is for informational purposes only and should not be used as the sole basis for investment decisions. Always conduct thorough research and consider consulting with a financial advisor.
Returns Stationarity Analysis (YavuzAkbay)This indicator analyzes the stationarity of a stock's price returns over time. Stationarity is an important property of time series data, as it determines the validity of statistical analysis and forecasting methods.
The indicator provides several visual cues to help assess the stationarity of the price returns:
Price Returns: Displays the daily percentage change in the stock's closing price.
Moving Average: Shows the smoothed trend of the price returns using a simple moving average.
Z-Score: Calculates the standardized z-score of the price returns, highlighting periods of significant deviation from the mean.
Autocorrelation: Plots the autocorrelation of the price returns, which measures the persistence or "memory" in the time series. High autocorrelation suggests non-stationarity.
The indicator also includes the following features:
Customizable lookback period and smoothing window for the moving statistics.
Lag parameter for the autocorrelation calculation.
Shaded bands to indicate the significance levels for the z-score and autocorrelation.
Visual signals (red dots) to highlight periods that are potentially non-stationary, based on a combination of high z-score and autocorrelation.
Informative labels to guide the interpretation of the results.
This indicator can be a useful tool for stock market analysts and traders to identify potential changes in the underlying dynamics of a stock's price behavior, which may have implications for forecasting, risk management, and investment strategies.
Stochastic RSI V1Stokastik RSI V1 - Kesişim noktaları işaretlendi, aşırı alım ve satım bölgeleri oluşturuldu. Çok ta önemli olmayabilecek değişiklikler işte...
