RSI Positivity (Zone and Change)Mostly a test project developed with Grok.
We calculate the RSI and look back a configurable amount of bars to determine the percentages of bars where:
a) RSI was above 50% (Label: Zone)
b) RSI changed positively (Label: Change)
The RSI can be shown or hidden and RSI length can be chosen (hidden by default with RSI length 14).
Smoothing can be enabled or disabled (enabed by default with smoothing set to 10 bars).
There are vertical lines in the Zone plot that indicate how far we are looking back.
Indicadores y estrategias
Prime Bands [ChartPrime]The Prime Standard Deviation Bands indicator uses custom-calculated bands based on highest and lowest price values over specific period to analyze price volatility and trend direction. Traders can set the bands to 1, 2, or 3 standard deviations from a central base, providing a dynamic view of price behavior in relation to volatility. The indicator also includes color-coded trend signals, standard deviation labels, and mean reversion signals, offering insights into trend strength and potential reversal points.
⯁ KEY FEATURES AND HOW TO USE
⯌ Standard Deviation Bands :
The indicator plots upper and lower bands based on standard deviation settings (1, 2, or 3 SDs) from a central base, allowing traders to visualize volatility and price extremes. These bands can be used to identify overbought and oversold conditions, as well as potential trend reversals.
Example of 3-standard-deviation bands around price:
⯌ Dynamic Trend Indicator :
The midline of the bands changes color based on trend direction. If the midline is rising, it turns green, indicating an uptrend. When the midline is falling, it turns orange, suggesting a downtrend. This color coding provides a quick visual reference to the current trend.
Trend color examples for rising and falling midlines:
⯌ Standard Deviation Labels :
At the end of the bands, the indicator displays labels with price levels for each standard deviation level (+3, 0, -3, etc.), helping traders quickly reference where price is relative to its statistical boundaries.
Price labels at each standard deviation level on the chart:
⯌ Mean Reversion Signals :
When price moves beyond the upper or lower bands and then reverts back inside, the indicator plots mean reversion signals with diamond icons. These signals indicate potential reversal points where the price may return to the mean after extreme moves.
Example of mean reversion signals near bands:
⯌ Standard Deviation Scale on Chart :
A visual scale on the right side of the chart shows the current price position in relation to the bands, expressed in standard deviations. This scale provides an at-a-glance view of how far price has deviated from the mean, helping traders assess risk and volatility.
⯁ USER INPUTS
Length : Sets the number of bars used in the calculation of the bands.
Standard Deviation Level : Allows selection of 1, 2, or 3 standard deviations for upper and lower bands.
Colors : Customize colors for the uptrend and downtrend midline indicators.
⯁ CONCLUSION
The Prime Standard Deviation Bands indicator provides a comprehensive view of price volatility and trend direction. Its customizable bands, trend coloring, and mean reversion signals allow traders to effectively gauge price behavior, identify extreme conditions, and make informed trading decisions based on statistical boundaries.
shadowpipz macro's (Open-Source) Macro Indicator
The Macro Indicator, originally coded by toodegrees and defined by me, is a powerful tool designed to track and visualize key market cycles and shifts within specific timeframes. It highlights areas of significant market activity, allowing traders to identify potential reversals, continuations, or liquidity zones.
How to Use:
Time-Specific Analysis:
The indicator highlights specific time intervals (e.g., 8:20–8:40, 9:20–9:40), marking key zones of price movement. These zones are defined based on the Macro concept, which identifies significant price actions within specific windows of time.
Trend Reversals and Continuation:
Use the highlighted Macro zones to detect potential trend reversals or momentum continuations based on price behavior around these intervals.
Confluence with Other Tools:
Combine the indicator with other tools such as support/resistance levels, candlestick patterns, or momentum oscillators for enhanced trade confirmation.
Multi-Timeframe Application:
Apply the indicator across various timeframes to identify overlapping zones and refine your trading decisions.
Best Practices:
Observe how price interacts with the highlighted zones—these areas can act as key support or resistance points.
Utilize the indicator to monitor liquidity sweeps or potential breakout regions during specific time intervals.
Credit:
The Macro concept was defined by .
The indicator was originally coded by toodegrees.
Disclaimer:
This indicator serves as a supplementary tool and is best used alongside a comprehensive trading strategy. Ensure proper risk management for all trades.
GeometricProgressionPriceLevelsThis indicator plots horizontal lines at values which are terms of a Geometric Progression. 'Base Price' could be any number (use a number nearest to the price of the Symbol/Stock). 'Multiplier For Geometric Progression' is the Multiplication Factor to calculate values between terms. 30 Horizontal lines will be plotted above and 30 Horizontal lines will be plotted below the 'Base Price' number value.
Zero Lag Trend Signals with Heikin Ashi (MTF) [AlgoAlpha]Zero Lag Trend Signals is combined with Heikin Ashi (MTF)
4Vietnamese 3x SupertrendThis strategy attempts to capture long positions in the Vietnamese stock market using a combination of three Supertrend indicators and additional filters. It utilizes pyramiding to enter up to three long positions with a 33.33% allocation each.
Key Elements:
Supertrend Indicators: Three Supertrend indicators are used with different lengths and multipliers to identify potential trend changes.
Entry Conditions:
The strategy looks for a downtrend on the slowest Supertrend (Supertrend3) followed by uptrends on the medium (Supertrend2) and fast (Supertrend1) Supertrends.
Alternatively, if Supertrend3 is still downtrending, but Supertrend1 is downtrending and a significant previous high (highestGreen) exists, an entry signal is generated.
An optional filter allows using the highest of the last two red candles for highestGreen calculation.
Entry Stop Loss:
An optional stop loss can be set based on the entry price of previous long positions, preventing further losses if the price falls below entry prices.
Exit Conditions:
Three exit options are available:
- All Downtrend Exit: Close all positions if all Supertrends turn uptrend and a bearish candlestick pattern (close price lower than open price) is formed.
- Average Price in Loss Exit: Close all positions if the average entry price of open positions is higher than the current closing price (indicating a loss).
- All Positions in Loss Exit: Close all positions if any of the following conditions are met:
A single open position exists, and its entry price is higher than the current close price.
Two open positions exist, and their entry prices are both higher than the current close price.
Three open positions exist, and their entry prices are all higher than the current close price.
Pyramiding: The strategy allows entering up to three long positions with a fixed allocation of 33.33% each.
Customization Options:
The strategy provides various input parameters to customize its behavior:
Supertrend lengths and multipliers for each indicator.
Option to use the highest of the last two red candles for highestGreen calculation.
Enabling/disabling Entry Stop Loss and different exit conditions.
Further Enhancements:
Explore additional entry and exit filters to refine trade signals.
Consider incorporating risk management techniques like position sizing and trailing stops.
Backtest the strategy with historical data to evaluate its effectiveness and identify potential areas for improvement.
Volume Flow IndicatorThe Volume Flow Indicator is an advanced tool designed to help traders analyze market flow by utilizing volume-based insights. By applying filtering techniques and smoothing algorithms, this indicator provides a detailed view of market momentum and potential trend reversals.
Key Features:
1. Volume-Based Trend Analysis: Helps identify bullish or bearish trends based on volume flow.
2. Smoothing Options: Reduces noise using moving averages (SMA or EMA) for more reliable signals.
3. Customizable Visualization: Users can adjust histogram colors, transparency, and smoothing periods.
4. Signal Line: A built-in line that highlights potential momentum shifts when crossed by the VFI.
How It Works:
The indicator calculates the Volume Flow Indicator (VFI) by analyzing the differences between the typical price (HLC3) and its previous value. It applies logarithmic transformations and volume filtering to reduce the impact of extreme spikes that could distort results. The VFI is then smoothed with a moving average, and a signal line is plotted for further analysis.
- Histogram Interpretation:
- Positive values (above the zero line) indicate bullish volume flow (buying pressure).
- Negative values (below the zero line) indicate bearish volume flow (selling pressure).
- Crossovers between the VFI and signal line suggest potential trend reversals.
How to Use:
1. Identifying Market Flow:
- Green histogram bars above the zero line indicate bullish volume flow.
- Red histogram bars below the zero line suggest bearish volume flow.
2. Detecting Reversals:
- Monitor crossovers between the histogram and signal line to spot changes in market sentiment.
3. Combining with Other Tools:
- Use the VFI alongside trendlines or oscillators for improved trade decision-making.
Example Scenarios:
- Bullish Signal: The histogram turns green and crosses above the zero line, indicating potential buying momentum.
- Bearish Signal: The histogram turns red and falls below the zero line, indicating selling pressure.
- Reversal: A crossover between the histogram and signal line signals a possible trend change.
Applications:
This indicator is versatile and supports various trading styles:
- Scalping: Quickly identify volume trends for short-term trades.
- Swing Trading: Spot emerging trends for medium-term opportunities.
- Trend Following: Confirm the strength and continuation of long-term trends.
Notes for Users:
- Alert Conditions: Use the built-in alert settings to stay notified when the VFI crosses the signal line or when volume flow shifts occur.
- Customization: Adjust smoothing parameters and visualization settings to fit your trading strategy.
Read out more:
precisiontradingsystems.com
Samet-AL SAT SinyaL// This Pine Script™ code is subject to the terms of the Mozilla Public License 2.0 at mozilla.org
// © Samce
//@version=5
indicator(title='Samet-AL SAT SinyaL', shorttitle='Samet-AL SAT SinyaL', overlay=true)
pSARbeginningValue = input.int(2, minval=0, maxval=10, title='PSAR başlangıç değeri')
pSARendValue = input.int(2, minval=1, maxval=10, title='PSAR bitiş değeri')
pSARmultiplierValue = input.int(2, minval=0, maxval=10, title=' PSAR katsayi değeri')
pSARbeginningMethod = pSARbeginningValue * .01
pSARendMethod = pSARendValue * .10
pSARmultiplierMethod = pSARmultiplierValue * .01
pSAR_UpValue = ta.sar(pSARbeginningMethod, pSARmultiplierMethod, pSARendMethod)
pSAR_DownValue = ta.sar(pSARbeginningMethod, pSARmultiplierMethod, pSARendMethod)
pSAR_UpColor = close >= pSAR_DownValue ? color.green : na
pSAR_DownColor = close <= pSAR_UpValue ? color.red : na
plot(pSAR_UpValue ? pSAR_UpValue : na, style=plot.style_columns, color=pSAR_UpColor, linewidth=0, title='PSAR yukarı', transp=85)
plot(pSAR_DownValue ? pSAR_DownValue : na, style=plot.style_columns, color=pSAR_DownColor, linewidth=1, title='PSAR aşağı', transp=85)
//Zone Identification - This is once again ATR based method to identify the zone based on its strength
zoneSource = input(hl2, title='Kaynak')
src = input(hl2, title='Kaynak')
zoneLength = input(defval=10, title='ATR Alan Uzunluğu')
zoneMultiplier = input.float(defval=3.0, step=0.1, title='ATR Alan Katsayısı')
zoneATR = ta.atr(zoneLength)
downZone = zoneSource + zoneMultiplier * zoneATR
downZoneNew = nz(downZone , downZone)
downZone := close < downZoneNew ? math.min(downZone, downZoneNew) : downZone
upZone = zoneSource - zoneMultiplier * zoneATR
upZoneNew = nz(upZone , upZone)
upZone := close > upZoneNew ? math.max(upZone, upZoneNew) : upZone
zoneDecider = 1
zoneDecider := nz(zoneDecider , zoneDecider)
zoneDecider := zoneDecider == -1 and close > downZoneNew ? 1 : zoneDecider == 1 and close < upZoneNew ? -1 : zoneDecider
redZone = zoneDecider == -1 and zoneDecider == 1
greenZone = zoneDecider == 1 and zoneDecider == -1
downZoneColor = zoneDecider == -1 ? color.red : color.gray
upZoneColor = zoneDecider == 1 ? color.green : color.gray
downZonePlot = plot(zoneDecider == 1 ? na : downZone, style=plot.style_linebr, linewidth=2, color=color.new(color.red, 0), title='Düşüş Bölgesi')
plotshape(redZone ? downZone : na, location=location.absolute, style=shape.diamond, size=size.tiny, color=color.new(color.red, 0), title='Düşüş Bölgesi Başlangıçı')
plotshape(redZone ? downZone : na, location=location.absolute, style=shape.labeldown, size=size.tiny, color=color.new(color.red, 0), textcolor=color.new(color.white, 0), title='SAT', text='Samet/ SAT(short)')
upZonePlot = plot(zoneDecider == 1 ? upZone : na, style=plot.style_linebr, linewidth=2, color=color.new(color.green, 0), title='Yükseliş Bölgesi')
plotshape(greenZone ? upZone : na, location=location.absolute, style=shape.diamond, size=size.tiny, color=color.new(color.green, 0), title='Yükseliş Bölgesi Başlangıçı')
plotshape(greenZone ? upZone : na, location=location.belowbar, style=shape.labelup, size=size.tiny, color=color.new(color.green, 0), textcolor=color.new(color.white, 0), title='AL', text='Samet/ AL(long)')
aldigimfiyat = str.tostring(ta.valuewhen(greenZone, zoneSource, 0))
sattigimfiyat = str.tostring(ta.valuewhen(redZone, zoneSource, 0))
Buy = greenZone
Sell = redZone
if greenZone == 1
l = label.new(bar_index, na)
label.set_text(l, aldigimfiyat)
label.set_color(l, color.green)
label.set_yloc(l, yloc.belowbar)
label.set_style(l, label.style_label_up)
if redZone == 1
l = label.new(bar_index, na)
label.set_text(l, sattigimfiyat)
label.set_color(l, color.red)
label.set_yloc(l, yloc.abovebar)
label.set_style(l, label.style_label_down)
neutralZonePlot = plot(ohlc4, style=plot.style_circles, linewidth=0, title='Alan Stili')
fill(neutralZonePlot, downZonePlot, color=downZoneColor, title='Düşüş Rengi', transp=90)
fill(neutralZonePlot, upZonePlot, color=upZoneColor, title='Yükseliş Rengi', transp=90)
emaLowerPeriod = input.int(9, minval=1, title='EMA Düşük Periyotlar için')
emaLower = ta.ema(input(close), emaLowerPeriod)
plot(emaLower, color=color.new(color.fuchsia, 0), linewidth=2, title='EMA Düşük Periyot')
showEMA2 = input(false, title='EMA - Orta Periyotlar için')
emaMediumPeriod = input.int(27, minval=1, title='EMA Orta Periyotlar için')
emaMedium = ta.ema(input(close), emaMediumPeriod)
plot(showEMA2 and emaMedium ? emaMedium : na, color=color.new(color.aqua, 0), linewidth=2, title='EMA Orta Periyotlar için')
hmaLongPeriod = input.int(200, minval=1, title='HMA Uzun Periyotlar için')
hmaLong = ta.hma(input(close), hmaLongPeriod)
plot(hmaLong, color=color.new(color.gray, 0), linewidth=2, title='HMA Uzun Periyotlar için')
isCloseAbove = close > emaLower and close > hmaLong
isCloseBelow = close < emaLower and close < hmaLong
isCloseBetween = close > emaLower and close < hmaLong or close < emaLower and close > hmaLong
isNeutral = close > pSAR_DownValue and isCloseBelow or close < pSAR_DownValue and isCloseAbove
barcolor(isNeutral or isCloseBetween ? color.yellow : isCloseBelow ? color.red : isCloseAbove ? color.green : color.black)
position = input(500)
h = ta.highest(position)
info_label_off = input(50, title='Bilgilendirme paneli gösterilsin mi?')
info_label_size = input.string(size.normal, options= , title='Info panel label size')
info_panel_x = timenow + math.round(ta.change(time) * 10)
info_panel_y = h
info_current_close = ' SON KAPANIŞ : ' + str.tostring(close)
disp_panels1 = input(true, title='ALIŞ BİLGİLENDİRME PANELİ İSTİYORMUSUNUZ?')
disp_panels2 = input(true, title='SATIŞ BİLGİLENDİRME PANELİ İSTİYORMUSUNUZ?')
Long = '-=-=-ALIŞ DETAY-=-=- '
Short = '-=-=-SATIŞ DETAY-=-=- '
pp1 = ' Aldıktan sonra geçen BAR : ' + str.tostring(ta.barssince(Buy), '##.##')
pp2 = ' Sattıktan sonra geçen BAR : ' + str.tostring(ta.barssince(Sell), '##.##')
Buyprice = ' Satın aldığımız fiyat : ' + str.tostring(ta.valuewhen(Buy, src, 0), '##.##') + ''
ProfitLong = ' KAR : ' + '(' + str.tostring(100 * ((src - ta.valuewhen(Buy, src, 0)) / ta.valuewhen(Buy, src, 0)), '##.##') + '%' + ')'
Sellprice = ' Satın aldığımız fiyat : ' + str.tostring(ta.valuewhen(Sell, src, 0), '##.##') + ''
ProfitShort = ' KAR : ' + '(' + str.tostring(100 * ((ta.valuewhen(Sell, src, 0) - src) / ta.valuewhen(Sell, src, 0)), '##.##') + '%' + ')'
info_textlongbuy = Long + info_current_close + pp1 + Buyprice + ProfitLong
info_textlongsell = Short + info_current_close + pp2 + Sellprice + ProfitShort
info_panellongbuy = zoneDecider == 1 and disp_panels1 ? label.new(x=info_panel_x, y=info_panel_y, text=info_textlongbuy, xloc=xloc.bar_time, yloc=yloc.price, color=color.green, style=label.style_label_up, textcolor=color.black, size=info_label_size) : na
info_panellongsell = zoneDecider == -1 and disp_panels2 ? label.new(x=info_panel_x, y=info_panel_y, text=info_textlongsell, xloc=xloc.bar_time, yloc=yloc.price, color=color.red, style=label.style_label_up, textcolor=color.black, size=info_label_size) : na
label.delete(info_panellongbuy )
label.delete(info_panellongsell )
Samet-AL SAT SinyaL // This Pine Script™ code is subject to the terms of the Mozilla Public License 2.0 at mozilla.org
// © Samce
//@version=5
indicator(title='Samet-AL SAT SinyaL', shorttitle='Samet-AL SAT SinyaL', overlay=true)
pSARbeginningValue = input.int(2, minval=0, maxval=10, title='PSAR başlangıç değeri')
pSARendValue = input.int(2, minval=1, maxval=10, title='PSAR bitiş değeri')
pSARmultiplierValue = input.int(2, minval=0, maxval=10, title=' PSAR katsayi değeri')
pSARbeginningMethod = pSARbeginningValue * .01
pSARendMethod = pSARendValue * .10
pSARmultiplierMethod = pSARmultiplierValue * .01
pSAR_UpValue = ta.sar(pSARbeginningMethod, pSARmultiplierMethod, pSARendMethod)
pSAR_DownValue = ta.sar(pSARbeginningMethod, pSARmultiplierMethod, pSARendMethod)
pSAR_UpColor = close >= pSAR_DownValue ? color.green : na
pSAR_DownColor = close <= pSAR_UpValue ? color.red : na
plot(pSAR_UpValue ? pSAR_UpValue : na, style=plot.style_columns, color=pSAR_UpColor, linewidth=0, title='PSAR yukarı', transp=85)
plot(pSAR_DownValue ? pSAR_DownValue : na, style=plot.style_columns, color=pSAR_DownColor, linewidth=1, title='PSAR aşağı', transp=85)
//Zone Identification - This is once again ATR based method to identify the zone based on its strength
zoneSource = input(hl2, title='Kaynak')
src = input(hl2, title='Kaynak')
zoneLength = input(defval=10, title='ATR Alan Uzunluğu')
zoneMultiplier = input.float(defval=3.0, step=0.1, title='ATR Alan Katsayısı')
zoneATR = ta.atr(zoneLength)
downZone = zoneSource + zoneMultiplier * zoneATR
downZoneNew = nz(downZone , downZone)
downZone := close < downZoneNew ? math.min(downZone, downZoneNew) : downZone
upZone = zoneSource - zoneMultiplier * zoneATR
upZoneNew = nz(upZone , upZone)
upZone := close > upZoneNew ? math.max(upZone, upZoneNew) : upZone
zoneDecider = 1
zoneDecider := nz(zoneDecider , zoneDecider)
zoneDecider := zoneDecider == -1 and close > downZoneNew ? 1 : zoneDecider == 1 and close < upZoneNew ? -1 : zoneDecider
redZone = zoneDecider == -1 and zoneDecider == 1
greenZone = zoneDecider == 1 and zoneDecider == -1
downZoneColor = zoneDecider == -1 ? color.red : color.gray
upZoneColor = zoneDecider == 1 ? color.green : color.gray
downZonePlot = plot(zoneDecider == 1 ? na : downZone, style=plot.style_linebr, linewidth=2, color=color.new(color.red, 0), title='Düşüş Bölgesi')
plotshape(redZone ? downZone : na, location=location.absolute, style=shape.diamond, size=size.tiny, color=color.new(color.red, 0), title='Düşüş Bölgesi Başlangıçı')
plotshape(redZone ? downZone : na, location=location.absolute, style=shape.labeldown, size=size.tiny, color=color.new(color.red, 0), textcolor=color.new(color.white, 0), title='SAT', text='Samet/ SAT(short)')
upZonePlot = plot(zoneDecider == 1 ? upZone : na, style=plot.style_linebr, linewidth=2, color=color.new(color.green, 0), title='Yükseliş Bölgesi')
plotshape(greenZone ? upZone : na, location=location.absolute, style=shape.diamond, size=size.tiny, color=color.new(color.green, 0), title='Yükseliş Bölgesi Başlangıçı')
plotshape(greenZone ? upZone : na, location=location.belowbar, style=shape.labelup, size=size.tiny, color=color.new(color.green, 0), textcolor=color.new(color.white, 0), title='AL', text='Samet/ AL(long)')
aldigimfiyat = str.tostring(ta.valuewhen(greenZone, zoneSource, 0))
sattigimfiyat = str.tostring(ta.valuewhen(redZone, zoneSource, 0))
Buy = greenZone
Sell = redZone
if greenZone == 1
l = label.new(bar_index, na)
label.set_text(l, aldigimfiyat)
label.set_color(l, color.green)
label.set_yloc(l, yloc.belowbar)
label.set_style(l, label.style_label_up)
if redZone == 1
l = label.new(bar_index, na)
label.set_text(l, sattigimfiyat)
label.set_color(l, color.red)
label.set_yloc(l, yloc.abovebar)
label.set_style(l, label.style_label_down)
neutralZonePlot = plot(ohlc4, style=plot.style_circles, linewidth=0, title='Alan Stili')
fill(neutralZonePlot, downZonePlot, color=downZoneColor, title='Düşüş Rengi', transp=90)
fill(neutralZonePlot, upZonePlot, color=upZoneColor, title='Yükseliş Rengi', transp=90)
emaLowerPeriod = input.int(9, minval=1, title='EMA Düşük Periyotlar için')
emaLower = ta.ema(input(close), emaLowerPeriod)
plot(emaLower, color=color.new(color.fuchsia, 0), linewidth=2, title='EMA Düşük Periyot')
showEMA2 = input(false, title='EMA - Orta Periyotlar için')
emaMediumPeriod = input.int(27, minval=1, title='EMA Orta Periyotlar için')
emaMedium = ta.ema(input(close), emaMediumPeriod)
plot(showEMA2 and emaMedium ? emaMedium : na, color=color.new(color.aqua, 0), linewidth=2, title='EMA Orta Periyotlar için')
hmaLongPeriod = input.int(200, minval=1, title='HMA Uzun Periyotlar için')
hmaLong = ta.hma(input(close), hmaLongPeriod)
plot(hmaLong, color=color.new(color.gray, 0), linewidth=2, title='HMA Uzun Periyotlar için')
isCloseAbove = close > emaLower and close > hmaLong
isCloseBelow = close < emaLower and close < hmaLong
isCloseBetween = close > emaLower and close < hmaLong or close < emaLower and close > hmaLong
isNeutral = close > pSAR_DownValue and isCloseBelow or close < pSAR_DownValue and isCloseAbove
barcolor(isNeutral or isCloseBetween ? color.yellow : isCloseBelow ? color.red : isCloseAbove ? color.green : color.black)
position = input(500)
h = ta.highest(position)
info_label_off = input(50, title='Bilgilendirme paneli gösterilsin mi?')
info_label_size = input.string(size.normal, options= , title='Info panel label size')
info_panel_x = timenow + math.round(ta.change(time) * 10)
info_panel_y = h
info_current_close = ' SON KAPANIŞ : ' + str.tostring(close)
disp_panels1 = input(true, title='ALIŞ BİLGİLENDİRME PANELİ İSTİYORMUSUNUZ?')
disp_panels2 = input(true, title='SATIŞ BİLGİLENDİRME PANELİ İSTİYORMUSUNUZ?')
Long = '-=-=-ALIŞ DETAY-=-=- '
Short = '-=-=-SATIŞ DETAY-=-=- '
pp1 = ' Aldıktan sonra geçen BAR : ' + str.tostring(ta.barssince(Buy), '##.##')
pp2 = ' Sattıktan sonra geçen BAR : ' + str.tostring(ta.barssince(Sell), '##.##')
Buyprice = ' Satın aldığımız fiyat : ' + str.tostring(ta.valuewhen(Buy, src, 0), '##.##') + ''
ProfitLong = ' KAR : ' + '(' + str.tostring(100 * ((src - ta.valuewhen(Buy, src, 0)) / ta.valuewhen(Buy, src, 0)), '##.##') + '%' + ')'
Sellprice = ' Satın aldığımız fiyat : ' + str.tostring(ta.valuewhen(Sell, src, 0), '##.##') + ''
ProfitShort = ' KAR : ' + '(' + str.tostring(100 * ((ta.valuewhen(Sell, src, 0) - src) / ta.valuewhen(Sell, src, 0)), '##.##') + '%' + ')'
info_textlongbuy = Long + info_current_close + pp1 + Buyprice + ProfitLong
info_textlongsell = Short + info_current_close + pp2 + Sellprice + ProfitShort
info_panellongbuy = zoneDecider == 1 and disp_panels1 ? label.new(x=info_panel_x, y=info_panel_y, text=info_textlongbuy, xloc=xloc.bar_time, yloc=yloc.price, color=color.green, style=label.style_label_up, textcolor=color.black, size=info_label_size) : na
info_panellongsell = zoneDecider == -1 and disp_panels2 ? label.new(x=info_panel_x, y=info_panel_y, text=info_textlongsell, xloc=xloc.bar_time, yloc=yloc.price, color=color.red, style=label.style_label_up, textcolor=color.black, size=info_label_size) : na
label.delete(info_panellongbuy )
label.delete(info_panellongsell )
Santa Clause RallyA Santa Claus rally is a calendar effect that involves a rise in stock prices during the last 5 trading days in December and the first 2 trading days in the following January.
The Santa Claus rally can potentially predict the future trend of stocks in the coming year.
Merry Christmas and Happy New Year 🎄🎄🎄
High Probability Signals (Test1)Combined buy and sell signals indicator made on 1/5/25 includes rise, ema,
dynamic up and down divergencethis indicator calculates divergence using up and down vectors and use it for buy sell signals
EMA 50/100/200/300/400 This indicator plots five Exponential Moving Averages (EMAs) with customizable periods: 50, 100, 200, 300, and 400. Each EMA is color-coded for easy identification and displayed directly on the chart. Labels are dynamically added at the latest bar to indicate the EMA values, helping traders quickly assess trend levels and potential support/resistance zones. Ideal for trend analysis and multi-timeframe setups.
sarina3Mix of NAdArAyA + EMA50+ ichimoku clouds
you can buy or sell with crosses
and the color of the clouds
it's better to change the numbers of nadaraya
for further information please text me
Dynamic SMMA & EMA Signal Indicator
Dieses Skript kombiniert SMMA (Smoothed Moving Average) und EMA (Exponential Moving Average) , um dir präzise visuelle Signale und Trendinformationen direkt auf deinem Chart zu liefern. Es bietet farbliche Anpassungen für die Kerzen und flexible Parameter, um die Berechnung der Moving Averages und Signale individuell zu gestalten.
Features:
1. SMMA High und SMMA Low:
- Zeigt zwei SMMA-Linien (High und Low) an, die dir helfen, Unterstützungs- und Widerstandszonen zu erkennen.
- Die Farben und Längen der Linien können individuell angepasst werden.
2. EMA 200:
- Eine dynamische Trendlinie, die dir den langfristigen Marktrichtungstrend anzeigt.
- Kann in den Einstellungen ein- oder ausgeblendet werden.
- Sowohl die Länge als auch die Farbe sind anpassbar.
3. Farbige Kerzen :
- Grüne Kerzen : Signalisiert, dass der Kurs über den SMMA High gestiegen ist (bullisches Momentum).
- Rote Kerzen : Signalisiert, dass der Kurs unter den SMMA Low gefallen ist (bärisches Momentum).
- Gelbe Kerzen : Signalisiert eine neutrale Zone (über EMA 200, aber unter SMMA Low oder umgekehrt).
4. Signalpfeile:
- Ein grüner Pfeil erscheint über der ersten Kerze, die grün wird (bullischer Farbwechsel).
- Ein roter Pfei l erscheint über der ersten Kerze, die rot wird (bärischer Farbwechsel).
- Die Pfeile sind klein und dezent, um das Chart sauber zu halten.
5. Zeitrahmen-Wahl :
- Das Skript ist standardmäßig auf den M5-Zeitrahmen eingestellt, da dies eine höhere Signalgenauigkeit ermöglicht, während es auf einem M1-Chart angezeigt wird.
- Die Berechnung der SMMA und EMA kann unabhängig vom aktuellen Chart-Zeitrahmen angepasst werden (z. B. M5, H1).
6. Optimale Nutzung auf M1-Chart:
- Während das Skript standardmäßig auf M5 eingestellt ist, entfaltet es seine Stärke bei der Analyse und Darstellung auf einem M1-Chart , da die Daten besser auf kurzfristige Bewegungen abgestimmt sind.
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Verwendung:
- Trendidentifikation: Nutze die EMA 200, um den langfristigen Trend zu bestimmen. Kerzen oberhalb der EMA 200 sind tendenziell bullisch, während Kerzen darunter bärisch sind.
- Unterstützung/Widerstand : Die SMMA High und Low bieten dynamische Unterstützungs- und Widerstandsniveaus.
- Signalinterpretation : Grüne und rote Pfeile markieren die ersten Farbwechsel-Kerzen und können als mögliche Einstiegs- oder Ausstiegspunkte betrachtet werden.
Anpassungsmöglichkeiten:
- Länge und Farbe der SMMA High und Low.
- Länge, Farbe und Sichtbarkeit der EMA 200.
- Zeitrahmen für die Moving Average-Berechnung (M5 standardmäßig, aber anpassbar).
- Farben für die Kerzen (Grün, Rot, Gelb).
Adjustable MA Crossover Strategy with Buy and Sell SignalsThe Perfect DCA Spot Trading Strategy
You buy every time you get a buy signal.
Just as an example, $50 every time. Usually, you get 3 to 4 small buy signals before you get a big move up.
I sell when I get a sell signal after a big move, or when I feel I have made enough profit. ;)
Limit order strategyThe Adaptive Trend Flow Strategy with Filters for SPX is a complete trading algorithm designed to identify traits and offer actionable alerts for the SPX index. This Pine Script approach leverages superior technical signs and user-described parameters to evolve to marketplace conditions and optimize performance.
Key Features and Functionality
Dynamic Trend Detection: Utilizes a dual EMA-based totally adaptive method for fashion calculation.
The script smooths volatility the usage of an EMA filter and adjusts sensitivity through the sensitivity enter. This allows for real-time adaptability to market fluctuations.
Trend Filters for Precision:
SMA Filter: A Simple Moving Average (SMA) guarantees that trades are achieved best while the rate aligns with the shifting average trend, minimizing false indicators.
MACD Filter: The Moving Average Convergence Divergence (MACD) adds some other layer of confirmation with the aid of requiring alignment among the MACD line and its sign line.
Signal Generation:
Long Signals: Triggered when the fashion transitions from bearish to bullish, with all filters confirming the pass.
Short Signals: Triggered while the trend shifts from bullish to bearish, imparting opportunities for final positions.
User Customization:
Adjustable parameters for EMAs, smoothing duration, and sensitivity make certain the strategy can adapt to numerous buying and selling patterns.
Enable or disable filters (SMA or MACD) based totally on particular market conditions or consumer possibilities.
Leverage and Position Sizing: Incorporates a leverage aspect for dynamic position sizing.
Automatically calculates the exchange length based on account fairness and the leverage element, making sure hazard control is in area.
Visual Enhancements: Plots adaptive fashion ranges (foundation, top, decrease) for actual-time insights into marketplace conditions.
Color-coded bars and heritage to visually represent bullish or bearish developments.
Custom labels indicating crossover and crossunder occasions for clean sign visualization.
Alerts and Automation: Configurable alerts for each lengthy and quick indicators, well matched with automated buying and selling structures like plugpine.Com.
JSON-based alert messages consist of account credentials, motion type, and calculated position length for seamless integration.
Backtesting and Realistic Assumptions: Includes practical slippage, commissions, and preliminary capital settings for backtesting accuracy.
Leverages excessive-frequency trade sampling to make certain strong strategy assessment.
How It Works
Trend Calculation: The method derives a principal trend basis with the aid of combining fast and gradual EMAs. It then uses marketplace volatility to calculate adaptive upper and decrease obstacles, creating a dynamic channel.
Filter Integration: SMA and MACD filters work in tandem with the fashion calculation to ensure that handiest excessive-probability signals are accomplished.
Signal Execution: Signals are generated whilst the charge breaches those dynamic tiers and aligns with the fashion and filters, ensuring sturdy change access situations.
How to Use
Setup: Apply the approach to SPX or other well suited indices.
Adjust person inputs, together with ATR length, EMA smoothing, and sensitivity, to align together with your buying and selling possibilities.
Enable or disable the SMA and MACD filters to test unique setups.
Alerts: Configure signals for computerized notifications or direct buying and selling execution through third-celebration systems.
Use the supplied JSON payload to integrate with broking APIs or automation tools.
Optimization:
Experiment with leverage, filter out settings, and sensitivity to find most effective configurations to your hazard tolerance and marketplace situations.
Considerations and Best Practices
Risk Management: Always backtest the method with realistic parameters, together with conservative leverage and commissions.
Market Suitability: While designed for SPX, this method can adapt to other gadgets by means of adjusting key parameters.
Limitations: The method is trend-following and can underperform in
Corrected Adaptive Intraday VWAP Dual Signal Generator (1-min)This script is for Personal Use, please use at your own risk. Works only on 1 min chart, and usually identifies over sold and over bought areas intraday.
Aura Vibes EMA Ribbon + VStop + SAR + Bollinger BandsThe combination of Exponential Moving Averages (EMA), Volatility Stop (VStop), Parabolic SAR (PSAR), and Bollinger Bands (BB) offers a comprehensive approach to technical analysis, each serving a distinct purpose:
Exponential Moving Averages (EMA): EMAs are used to identify the direction of the trend by smoothing price data. Shorter-period EMAs react more quickly to price changes, while longer-period EMAs provide a broader view of the trend.
Volatility Stop (VStop): VStop is a dynamic stop-loss mechanism that adjusts based on market volatility, typically using the Average True Range (ATR). This allows traders to set stop-loss levels that accommodate market fluctuations, potentially reducing the likelihood of premature stop-outs.
Parabolic SAR (PSAR): PSAR is a trend-following indicator that provides potential entry and exit points by plotting dots above or below the price chart. When the dots are below the price, it suggests an uptrend; when above, a downtrend.
Bollinger Bands (BB): BB consists of a middle band (typically a 20-period simple moving average) and two outer bands set at standard deviations above and below the middle band. These bands expand and contract based on market volatility, helping traders identify overbought or oversold conditions.
Integrating these indicators can enhance trading strategies:
Trend Identification: Use EMAs to determine the prevailing market trend. For instance, a short-term EMA crossing above a long-term EMA may signal an uptrend.
Entry and Exit Points: Combine PSAR and BB to pinpoint potential entry and exit points. For example, a PSAR dot appearing below the price during an uptrend, coinciding with the price touching the lower Bollinger Band, might indicate a buying opportunity.
Risk Management: Implement VStop to set adaptive stop-loss levels that adjust with market volatility, providing a buffer against market noise.
By thoughtfully combining these indicators, traders can develop a robust trading system that adapts to various market conditions.
Momentum Based Trading StrategyBasic Momentum Based Trading Strategy: This script implements a momentum-based trading strategy using RSI (Relative Strength Index) and MACD (Moving Average Convergence Divergence). It generates buy signals when the market shows oversold conditions and bullish momentum, and sell signals when the market shows overbought conditions and bearish momentum. Visual markers indicate entry and exit points on the chart for easy identification.
