RSI + Auto Support + SMC + MA 20/50 vipHow it works:
Pivot Detection: It detects a pivot high and pivot low using the highest() and lowest() functions within a defined range.
Plot Shapes: The script marks these key levels on the chart with red labels for resistance and green labels for support.
Dynamic Lines: It draws dynamic lines that extend to the right whenever a new support or resistance level is detected.
How to use:
Add this script to your TradingView chart.
The support (green) and resistance (red) zones will appear as labels and lines.
You can adjust the length parameter to modify the sensitivity of the pivot detection.
Would you like to explore more advanced features for this SMC indicator, like order blocks or break of structure?
Bandas e Canais
Petru Indicator14 Day range. Percentage move. Analyzes first 14 days and percentage move after given window.
Channels by SmanovIndicator Description
“Channels by Smanov” is a multi-channel indicator that plots dynamic support and resistance zones around a moving average line. It is composed of two main parts:
FL 1 (Flexible Channels):
A Simple Moving Average (SMA) serves as the Basis.
Upper and lower bands are calculated by adding and subtracting an ATR-based buffer from the Basis.
User-defined inputs (such as Half Length, ATR Period, and ATR Multiplier) allow for flexibility in adapting the channel width to different market conditions.
FL 2 (Fixed Channels):
Eight additional bands expand on the same SMA + ATR logic but use fixed ATR multipliers (ranging from 2.2 up to 5.0).
These extra lines can help you gauge more distant levels of potential support or resistance.
By combining an SMA (to smooth price data) with ATR (to gauge volatility), this indicator highlights areas where price may be “stretched” relative to recent volatility. Traders often use channel-based indicators to identify potential “overbought” or “oversold” conditions, as well as to spot trend continuations or reversals.
How to Use / Trading Strategy
Trend Identification (Basis Line):
The middle line (the SMA) can be used as a trend filter:
If price consistently stays above the basis, it suggests an uptrend.
If price consistently stays below the basis, it suggests a downtrend.
Reversal Opportunities (Outer Bands):
When price moves into or beyond the upper bands, it may signal overbought conditions, creating potential short (or profit-taking) opportunities.
Conversely, when price dips into or beyond the lower bands, it may signal oversold conditions, which some traders use for initiating or adding to long positions.
Breakout or Continuation Signals:
In a strong trend, price may “ride” along the outer channels.
A clear break above/below a channel that previously acted as resistance/support could hint at trend continuation.
Failure to break these levels could suggest a potential reversal or consolidation phase.
Stop-Loss Placement:
Traders often place stops just outside a relevant band. For example, if you go long on a dip near a lower band, you might place your stop slightly below that band, relying on the ATR-based buffer to reflect normal volatility.
Multiple Timeframe Analysis:
Consider confirming signals on a higher timeframe (e.g., 4-hour or daily) while taking entries on a lower timeframe.
Channels on higher timeframes can act as stronger support or resistance, offering additional confluence.
Disclaimer
This indicator is provided for educational purposes and does not guarantee specific results. Trading involves risk, and individual traders are responsible for managing their own risk and capital. Always conduct thorough analysis and use appropriate risk management (e.g., stop-losses) when entering any market positions.
Enjoy using Channels by Smanov! Your feedback and personal insights can further refine the indicator’s settings for your preferred trading style. Good luck and trade responsibly!
This Pine Script™ code is subject to the terms of the Mozilla Public License 2.0.
© Smanov_I
Litecoin LTC Logarithmic Fibonacci Growth CurvesHOW THIS SCRIPT IS ORIGINAL: there is no similar script dedicated to LTC, although there are similar ones dedicated to BTC. (This was created by modifying an old public and open source similar script dedicated to BTC.)
WHAT THIS SCRIPT DOES: draws a channel containing the price of LTC within which the Fibonacci extensions are highlighted. The reference chart to use is LTC/USD on Bitfinex (because it has the oldest data, given that Tradingview has not yet created an LTC index), suggested with weekly or monthly timeframe.
HOW IT DOES IT: starting from two basic curves that average the upper and lower peaks of the price, the relative Fibonacci extensions are then built on the basis of these: 0.9098, 0.8541, 0.7639, 0.618, 0.5, 0.382, 0.2361, 0.1459, 0.0902.
HOW TO USE IT: after activating the script you will notice the presence of two areas of particular interest, the upper area, delimited in red, which follows the upper peaks of the price, and the lower area, delimited in green, which follows the lower peaks of the price. Furthermore, the main curves, namely the two extremes and the median, are also projected into the future to predict an indicative trend. This script is therefore useful for understanding where the price will go in the future and can be useful for understanding when to buy (near the green lines) or when to sell (near the red lines). It is also possible to configure the script by choosing the colors and types of lines, as well as the main parameters to define the upper and lower curve, from which the script deduces all the other lines that are in the middle.
Very easy to read and interpret. I hope this description is sufficient, but it is certainly easier to use it than to describe it.
Nadaraya-Watson Envelope [MirsaRemix] + 2 EMAsNombre del indicador: Nadaraya-Watson Envelope + 2 EMAs
Descripción:
Este script combina el cálculo avanzado del indicador Nadaraya-Watson Envelope (NWE) con la inclusión de dos medias móviles exponenciales (EMAs) configurables, proporcionando a los traders una herramienta poderosa para el análisis técnico.
Características principales:
Nadaraya-Watson Envelope (NWE):
Utiliza un modelo de suavizado basado en la ventana gaussiana, permitiendo detectar puntos clave de soporte y resistencia dinámica.
Incluye un modo opcional de "repainting" para obtener un suavizado en tiempo real.
Indicaciones visuales de posibles puntos de cruce (flechas hacia arriba y abajo) cuando el precio cruza los límites del envelope.
Medias Móviles Exponenciales (EMAs):
Dos EMAs configurables para ayudar a identificar tendencias y zonas de entrada/salida.
Colores y longitudes personalizables:
EMA 1: Azul (por defecto con una longitud de 20).
EMA 2: Naranja (por defecto con una longitud de 50).
Interfaz intuitiva:
Opciones para ajustar parámetros como el ancho de banda, el factor de multiplicación, y las longitudes de las EMAs.
Indicador compatible con gráficos de TradingView y diseñado para ser utilizado en cualquier marco temporal.
Usos del indicador:
Identificar tendencias generales del mercado con las EMAs.
Detectar posibles niveles de soporte y resistencia dinámicos con la envolvente Nadaraya-Watson.
Encontrar oportunidades de trading con las señales visuales de cruces de límites.
Este indicador es ideal para traders que buscan combinar estrategias basadas en medias móviles con análisis dinámico de precios. Su versatilidad lo hace útil tanto para estrategias de scalping como de swing trading.
RSI + Auto Support + SMC + MA 20/50+volumCombining Smart Money Concepts (SMC), volume analysis, moving averages, automatic support/resistance detection, and RSI high signals can create a powerful TradingView script for technical analysis and decision-making. Here's an outline of how you can integrate these elements into a Pine Script strategy or indicator:
Smart Money Concepts (SMC):
Identify market structure: Higher highs (HH), higher lows (HL), lower highs (LH), and lower lows (LL).
Highlight key order blocks and liquidity zones.
Volume Analysis:
Use volume as a confirmation tool for breakouts or reversals.
Display relative volume levels to spot unusual activity.
Moving Averages:
Include popular moving averages (e.g., SMA, EMA) for trend detection.
Use crossovers for entry/exit signals.
Auto Support/Resistance:
Automatically plot support and resistance zones based on pivot highs/lows.
Highlight areas of confluence with SMC or volume zones.
RSI High Signals:
Identify overbought/oversold levels on the RSI.
Mark divergence areas for potential reversals.
Here’s a simplified Pine Script to start with:
This script integrates SMC (HH/LL), volume, moving averages, RSI, and auto support/resistance into a single indicator. You can modify it to suit your trading style by adjusting lengths or adding alerts for specific conditions. Let me know if you’d like to refine or expand any part!
8888325335/@version=5
indicator("Bit Bite ht",shorttitle = "Bit Bite hindi technical", overlay = true)
src = input(hl2, title="Source",group = "Trend Continuation Signals with TP & SL")
Multiplier = input.float(2,title="Sensitivity (0.5 - 5)", step=0.1, defval=2, minval=0.5, maxval=5,group = "Trend Continuation Signals with TP & SL")
atrPeriods = input.int(14,title="ATR Length", defval=10,group = "Trend Continuation Signals with TP & SL")
atrCalcMethod= input.string("Method 1",title = "ATR Calculation Methods",options = ,group = "Trend Continuation Signals with TP & SL")
cloud_val = input.int(10,title = "Cloud Moving Average Length", defval = 10, minval = 5, maxval = 500,group = "Trend Continuation Signals with TP & SL")
stopLossVal = input.float(2.0, title="Stop Loss Percent (0 for Disabling)", minval=0,group = "Trend Continuation Signals with TP & SL")
showBuySellSignals = input.bool(true,title="Show Buy/Sell Signals", defval=true,group = "Trend Continuation Signals with TP & SL")
showMovingAverageCloud = input.bool(true, title="Show Cloud MA",group = "Trend Continuation Signals with TP & SL")
percent(nom, div) =>
100 * nom / div
src1 = ta.hma(open, 5)
src2 = ta.hma(close, 12)
momm1 = ta.change(src1)
momm2 = ta.change(src2)
f1(m, n) => m >= n ? m : 0.0
f2(m, n) => m >= n ? 0.0 : -m
m1 = f1(momm1, momm2)
m2 = f2(momm1, momm2)
sm1 = math.sum(m1, 1)
sm2 = math.sum(m2, 1)
cmoCalc = percent(sm1-sm2, sm1+sm2)
hh = ta.highest(2)
h1 = ta.dev(hh, 2) ? na : hh
hpivot = fixnan(h1)
ll = ta.lowest(2)
l1 = ta.dev(ll, 2) ? na : ll
lpivot = fixnan(l1)
rsiCalc = ta.rsi(close,9)
lowPivot = lpivot
highPivot = hpivot
sup = rsiCalc < 25 and cmoCalc > 50 and lowPivot
res = rsiCalc > 75 and cmoCalc < -50 and highPivot
atr2 = ta.sma(ta.tr, atrPeriods)
atr= atrCalcMethod == "Method 1" ? ta.atr(atrPeriods) : atr2
up=src-(Multiplier*atr)
up1 = nz(up ,up)
up := close > up1 ? math.max(up,up1) : up
dn=src+(Multiplier*atr)
dn1 = nz(dn , dn)
dn := close < dn1 ? math.min(dn, dn1) : dn
trend = 1
trend := nz(trend , trend)
trend := trend == -1 and close > dn1 ? 1 : trend == 1 and close < up1 ? -1 : trend
buySignal = trend == 1 and trend == -1
sellSignal = trend == -1 and trend == 1
pos = 0.0
pos:= buySignal? 1 : sellSignal ? -1 : pos
longCond = buySignal and pos != 1
shortCond = sellSignal and pos !=-1
entryOfLongPosition = ta.valuewhen(longCond , close, 0)
entryOfShortPosition = ta.valuewhen(shortCond, close, 0)
sl = stopLossVal > 0 ? stopLossVal / 262 : 99999
stopLossForLong = entryOfLongPosition * (1 - sl)
stopLossForShort = entryOfShortPosition * (1 + sl)
takeProfitForLong1R = entryOfLongPosition * (1 + sl)
takeProfitForShort1R = entryOfShortPosition * (1 - sl)
takeProfitForLong2R = entryOfLongPosition * (1 + sl*2)
takeProfitForShort2R = entryOfShortPosition * (1 - sl*2)
takeProfitForLong3R = entryOfLongPosition * (1 + sl*3)
takeProfitForShort3R = entryOfShortPosition * (1 - sl*3)
long_sl = low < stopLossForLong and pos ==1
short_sl = high> stopLossForShort and pos ==-1
takeProfitForLongFinal = high>takeProfitForLong3R and pos ==1
takeProfitForShortFinal = low 0?entryOfLongPosition :entryOfShortPosition , pos>0?lindex:sindex, pos>0?entryOfLongPosition :entryOfShortPosition , color=entryColor )
line.delete(lineEntry )
stopLine = line.new(bar_index, pos>0?stopLossForLong :stopLossForShort , pos>0?lindex:sindex, pos>0?stopLossForLong :stopLossForShort , color=color.red )
tpLine1 = line.new(bar_index, pos>0?takeProfitForLong1R:takeProfitForShort1R, pos>0?lindex:sindex, pos>0?takeProfitForLong1R:takeProfitForShort1R, color=color.green)
tpLine2 = line.new(bar_index, pos>0?takeProfitForLong2R:takeProfitForShort2R, pos>0?lindex:sindex, pos>0?takeProfitForLong2R:takeProfitForShort2R, color=color.green)
tpLine3 = line.new(bar_index, pos>0?takeProfitForLong3R:takeProfitForShort3R, pos>0?lindex:sindex, pos>0?takeProfitForLong3R:takeProfitForShort3R, color=color.green)
line.delete(stopLine )
line.delete(tpLine1 )
line.delete(tpLine2 )
line.delete(tpLine3 )
labelEntry = label.new(bar_index, pos>0?entryOfLongPosition :entryOfShortPosition , color=entryColor , textcolor=#000000, style=label.style_label_left, text="Entry Price: " + str.tostring(pos>0?entryOfLongPosition :entryOfShortPosition ))
label.delete(labelEntry )
labelStop = label.new(bar_index, pos>0?stopLossForLong :stopLossForShort , color=color.red , textcolor=#000000, style=label.style_label_left, text="Stop Loss Price: " + str.tostring(math.round((pos>0?stopLossForLong :stopLossForShort) *100)/100))
labelTp1 = label.new(bar_index, pos>0?takeProfitForLong1R:takeProfitForShort1R, color=color.green, textcolor=#000000, style=label.style_label_left, text="(1-1) Take Profit: " +str.tostring(math.round((pos>0?takeProfitForLong1R:takeProfitForShort1R) * 100)/100))
labelTp2 = label.new(bar_index, pos>0?takeProfitForLong2R:takeProfitForShort2R, color=color.green, textcolor=#000000, style=label.style_label_left, text="(2-1) Take Profit: " + str.tostring(math.round((pos>0?takeProfitForLong2R:takeProfitForShort2R) * 100)/100))
labelTp3 = label.new(bar_index, pos>0?takeProfitForLong3R:takeProfitForShort3R, color=color.green, textcolor=#000000, style=label.style_label_left, text="(3-1) Take Profit: " + str.tostring(math.round((pos>0?takeProfitForLong3R:takeProfitForShort3R) * 100)/100))
label.delete(labelStop )
label.delete(labelTp1 )
label.delete(labelTp2 )
label.delete(labelTp3 )
changeCond = trend != trend
smaSrcHigh = ta.ema(high,cloud_val)
smaSrcLow = ta.ema(low, cloud_val)
= ta.macd(close, 12, 26, 9)
plot_high = plot(showMovingAverageCloud? smaSrcHigh : na, color = na, transp = 1, editable = false)
plot_low = plot(showMovingAverageCloud? smaSrcLow : na, color = na, transp = 1, editable = false)
plotshape(longCond ? up : na, title="UpTrend Begins", location=location.belowbar, style=shape.circle, size=size.tiny, color=color.new(color.teal,transp = 50) )
plotshape(longCond and showBuySellSignals ? up : na, title="Buy kar lo", text="Buy kar lo", location=location.belowbar, style=shape.labelup, size=size.tiny, color=color.new(color.teal,transp = 50), textcolor=color.white )
plotshape(shortCond ? dn : na, title="DownTrend Begins", location=location.abovebar, style=shape.circle, size=size.tiny, color=color.new(color.red,transp = 50) )
plotshape(shortCond and showBuySellSignals ? dn : na, title="Sell kar do", text="Sell kar do", location=location.abovebar, style=shape.labeldown, size=size.tiny, color=color.new(color.red,transp = 50), textcolor=color.white)
fill(plot_high, plot_low, color = (macdLine > 0) and (macdLine > macdLine ) ? color.new(color.aqua,transp = 85) : na, title = "Positive Cloud Uptrend")
fill(plot_high, plot_low, color = macdLine > 0 and macdLine < macdLine ? color.new(color.aqua,transp = 85) : na, title = "Positive Cloud Downtrend")
fill(plot_high, plot_low, color = macdLine < 0 and macdLine < macdLine ? color.new(color.red,transp = 85) : na, title = "Negative Cloud Uptrend")
fill(plot_high, plot_low, color = macdLine < 0 and macdLine > macdLine ? color.new(color.red,transp = 85) : na, title = "Negative Cloud Downtrend")
mPlot = plot(ohlc4, title="", style=plot.style_circles, linewidth=0)
alertcondition(changeCond, title="Trend Direction Change ", message="Trend direction has changed ! ")
alertLongText = str.tostring(syminfo.ticker) + " BUY ALERT! " +
"Entry Price: " + str.tostring(entryOfLongPosition) +
", Take Profit 1: " + str.tostring(takeProfitForLong1R) +
", Take Profit 2: " + str.tostring(takeProfitForLong2R) +
", Take Profit 3: " + str.tostring(takeProfitForLong3R) +
", Stop Loss Price: " + str.tostring(stopLossForLong)
alertShortText = str.tostring(syminfo.ticker) + " SELL ALERT!" +
", Entry Price: " + str.tostring(entryOfShortPosition) +
", Take Profit 1: " + str.tostring(takeProfitForShort1R) +
", Take Profit 2: " + str.tostring(takeProfitForShort2R) +
", Take Profit 3: " + str.tostring(takeProfitForShort3R) +
", Stop Loss Price: " + str.tostring(stopLossForShort)
longJson = '{"content": "' + alertLongText + '"}'
shortJson = '{"content": "' + alertShortText + '"}'
if longCond
alert(longJson, alert.freq_once_per_bar_close)
if shortCond
alert(shortJson, alert.freq_once_per_bar_close)
Pocket Pivots by Kacher and Morales "Pocket Pivots," identifies potential bullish trading opportunities and technical conditions based on concepts from traders Kacher and Morales. It combines moving averages (SMAs), Bollinger Bands, Keltner Channels, volume analysis, and price action rules to detect:
Pocket Pivots:
Bullish signals triggered when:
Volume exceeds prior downdays (configurable lengths Standard is 10 days).
Price closes above key SMAs (10/50-day).
As Kacher and Morales do not buy wedging charts I added a squeeze check to avoid buy signals
The market is in a volatility "squeeze" (Bollinger Bands within Keltner Channels).
Up/down ratio of the volume must be greater than 1
Volume Pocket Pivots:
Secondary bullish signals based purely on volume spikes and upward price momentum.
This shows normal pocket pivots in yellow. But does not check if all other rules are fullfilled.
SMA Violations:
Marks bearish breakdowns below 10-day or 50-day SMAs
A 10 SMA Violation is normally yellow. But if there was no 10 day violation for Seven Weeks, the first 10 SMA violation shows a red sell signal. Kacher and Morales call it "Seven Week Rule"
Buyable Gap-Ups:
Highlights high-volume gaps up with strong price follow-through.
Visual Elements:
Plots SMAs (10, 50, 200), Bollinger Bands, and Keltner Channels.
Marks signals with colored triangles/diamonds (green = bullish, red = bearish and yellow / blue = informational).
YCLK Al-Sat İndikatörüRSI Period (RSI Periyodu): Adjustable RSI period (default is 14).
Overbought Level (RSI Aşırı Alım): Sets the RSI threshold for overbought conditions (default is 70).
Oversold Level (RSI Aşırı Satım): Sets the RSI threshold for oversold conditions (default is 30).
Take Profit Ratio (Kâr Alma Oranı): Percentage ratio for take-profit levels (default is 1.05 or 5% profit).
Stop Loss Ratio (Zarar Durdurma Oranı): Percentage ratio for stop-loss levels (default is 0.95 or 5% loss).
RSI Calculation: The script calculates the Relative Strength Index (RSI) using the defined period.
Buy Signal: Generated when RSI crosses above the oversold level.
Sell Signal: Generated when RSI crosses below the overbought level.
Buy/Sell Signal Visualization:
Buy Signal: Green upward arrow labeled as "BUY".
Sell Signal: Red downward arrow labeled as "SELL".
Dynamic Take Profit and Stop Loss Levels:
Entry Price: Tracks the price at which a Buy signal occurs.
Take Profit (TP): Automatically calculated as Entry Price * Take Profit Ratio.
Stop Loss (SL): Automatically calculated as Entry Price * Stop Loss Ratio.
These levels are plotted on the chart with:
Blue circles for TP levels.
Red circles for SL levels.
Fibonacci Targets: The script also calculates Fibonacci levels based on the entry price:
Fibonacci 1.236 Level: Shown in purple.
Fibonacci 1.618 Level: Shown in orange.
Additional Visual Details:
Displays the current RSI value at each bar as a yellow label above the chart.
How to Use:
Apply the indicator to your TradingView chart.
Adjust the input parameters (RSI period, overbought/oversold levels, profit/loss ratios) based on your strategy.
Use the Buy and Sell signals to identify potential trade entries.
Use the TP and SL levels to manage risk and lock in profits.
Refer to the Fibonacci levels for extended profit targets.
TRP İndikatörü - Ömer Faruk ŞenBu kod, TRP indikatörüne göre düşüş ve yükseliş sinyalleri üretir.
- Düşüş sinyali: 8. ve 9. mumlar kırmızı ve 7. mumun altında kapanır.
- Yükseliş sinyali: M9 mumu yeşil ve 13 mum sonra yükseliş beklenir.
Sinyaller, grafik üzerinde işaretlenir.
SPX Positioning with Bollinger Bands (Std Dev Scale) YXKSPX Positioning with Bollinger Bands (Std Dev Scale) YXK
Combined Open, Last Candle Close, Midpointgives previos and cuurent trading session open close levels clearly
Camarilla Pivots + EMA'sMy Script with Camarilla Pivot Points Plus the ability to add 5 EMA's to the chart all built into one
Nadaraya-Watson Envelope [LuxAlgo]tr// This work is licensed under a Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) creativecommons.org
// © LuxAlgo
//@version=5
indicator("Nadaraya-Watson Envelope ", "LuxAlgo - Nadaraya-Watson Envelope", overlay = true, max_lines_count = 500, max_labels_count = 500, max_bars_back=500)
//------------------------------------------------------------------------------
//Settings
//-----------------------------------------------------------------------------{
h = input.float(8.,'Bandwidth', minval = 0)
mult = input.float(3., minval = 0)
src = input(close, 'Source')
repaint = input(true, 'Repainting Smoothing', tooltip = 'Repainting is an effect where the indicators historical output is subject to change over time. Disabling repainting will cause the indicator to output the endpoints of the calculations')
//Style
upCss = input.color(color.teal, 'Colors', inline = 'inline1', group = 'Style')
dnCss = input.color(color.red, '', inline = 'inline1', group = 'Style')
//-----------------------------------------------------------------------------}
//Functions
//-----------------------------------------------------------------------------{
//Gaussian window
gauss(x, h) => math.exp(-(math.pow(x, 2)/(h * h * 2)))
//-----------------------------------------------------------------------------}
//Append lines
//-----------------------------------------------------------------------------{
n = bar_index
var ln = array.new_line(0)
if barstate.isfirst and repaint
for i = 0 to 499
array.push(ln,line.new(na,na,na,na))
//-----------------------------------------------------------------------------}
//End point method
//-----------------------------------------------------------------------------{
var coefs = array.new_float(0)
var den = 0.
if barstate.isfirst and not repaint
for i = 0 to 499
w = gauss(i, h)
coefs.push(w)
den := coefs.sum()
out = 0.
if not repaint
for i = 0 to 499
out += src * coefs.get(i)
out /= den
mae = ta.sma(math.abs(src - out), 499) * mult
upper = out + mae
lower = out - mae
//-----------------------------------------------------------------------------}
//Compute and display NWE
//-----------------------------------------------------------------------------{
float y2 = na
float y1 = na
nwe = array.new(0)
if barstate.islast and repaint
sae = 0.
//Compute and set NWE point
for i = 0 to math.min(499,n - 1)
sum = 0.
sumw = 0.
//Compute weighted mean
for j = 0 to math.min(499,n - 1)
w = gauss(i - j, h)
sum += src * w
sumw += w
y2 := sum / sumw
sae += math.abs(src - y2)
nwe.push(y2)
sae := sae / math.min(499,n - 1) * mult
for i = 0 to math.min(499,n - 1)
if i%2
line.new(n-i+1, y1 + sae, n-i, nwe.get(i) + sae, color = upCss)
line.new(n-i+1, y1 - sae, n-i, nwe.get(i) - sae, color = dnCss)
if src > nwe.get(i) + sae and src < nwe.get(i) + sae
label.new(n-i, src , '▼', color = color(na), style = label.style_label_down, textcolor = dnCss, textalign = text.align_center)
if src < nwe.get(i) - sae and src > nwe.get(i) - sae
label.new(n-i, src , '▲', color = color(na), style = label.style_label_up, textcolor = upCss, textalign = text.align_center)
y1 := nwe.get(i)
//-----------------------------------------------------------------------------}
//Dashboard
//-----------------------------------------------------------------------------{
var tb = table.new(position.top_right, 1, 1
, bgcolor = #1e222d
, border_color = #373a46
, border_width = 1
, frame_color = #373a46
, frame_width = 1)
if repaint
tb.cell(0, 0, 'Repainting Mode Enabled', text_color = color.white, text_size = size.small)
//-----------------------------------------------------------------------------}
//Plot
//-----------------------------------------------------------------------------}
plot(repaint ? na : out + mae, 'Upper', upCss)
plot(repaint ? na : out - mae, 'Lower', dnCss)
//Crossing Arrows
plotshape(ta.crossunder(close, out - mae) ? low : na, "Crossunder", shape.labelup, location.absolute, color(na), 0 , text = '▲', textcolor = upCss, size = size.tiny)
plotshape(ta.crossover(close, out + mae) ? high : na, "Crossover", shape.labeldown, location.absolute, color(na), 0 , text = '▼', textcolor = dnCss, size = size.tiny)
//-----------------------------------------------------------------------------}
MA Price BandsSeveral bands based on a moving average, a simple way of marking risk levels of an asset. Comes with many options.
MA on OBV OscillatorSMA
OBV
shows the trend of the market
will assist in showing the direction of the market
Buy Signal with FVG Confirmation (1h,15m,5m)Key Changes:
FVG Conditions Added to buySignal:
The buy signal now requires FVGs on all three timeframes (1h, 15m, 5m) in addition to your original criteria.
buySignal = ... and fvg1h and fvg15m and fvg5m
Simplified FVG Detection:
The detectFVG function now only returns the fvgBullish boolean (no need to return price levels).
How to Use:
Apply to 1-Hour Chart:
The script works best on a 1-hour chart since it combines daily, hourly, and lower timeframe (15m/5m) logic.
Interpret Signals:
A green triangle appears below the price bar when all conditions align, including FVGs on 1h, 15m, and 5m.
Use the shaded FVG zones (teal, orange, purple) to visually confirm gaps.
Set Alerts:
Create an alert in TradingView to notify you when the buySignal triggers.
Important Notes:
Multi-Timeframe Limitations:
Lower timeframe FVGs (15m/5m) are fetched using request.security, which may cause slight repainting on the 1-hour chart.
FVGs are evaluated based on the most recent completed bar in their respective timeframes.
Strategy Strictness:
Requiring FVGs on three timeframes makes the signal very selective. Adjust the logic (e.g., fvg1h or fvg15m) if you prefer fewer restrictions
XAUKILLERThis indicator is structured as follows:
1- The SMA 8-18-50-200 averages are used.
2- The term "FOP" is used to refere to the opening of the Frankfurt Stock Exchange at 9:00 AM.
3- The Asian session is marked, starting at 1:00 AM and ending at 7:00 AM.
4- Restricted Liquidity levels are indicated, corresponding to +127% and -127% of the Asian range.
TREND CAPTURE - Signal Strategy [SRISTI]Its a simple strategy works to capture a small trends in intraday trading. basically built on combination of EMA, VWAP, RSI.
