XAUUSD Scalping System [MACD + EMA + UT Bot + LinReg]//@version=5
indicator("XAUUSD Scalping System ", overlay=true)
// === INPUTS ===
fastLen = input.int(8, title="MACD Fast Length")
slowLen = input.int(21, title="MACD Slow Length")
signalLen = input.int(5, title="MACD Signal Smoothing")
linregLen = input.int(14, title="Linear Regression Length")
emaLen = input.int(21, title="EMA Length")
atrPeriod = input.int(10, title="UT Bot ATR Period")
atrMultiplier = input.float(2.0, title="UT Bot ATR Multiplier")
// === EMA ===
ema = ta.ema(close, emaLen)
plot(ema, title="21 EMA", color=color.orange, linewidth=1)
// === MACD ===
macdLine = ta.ema(close, fastLen) - ta.ema(close, slowLen)
signalLine = ta.ema(macdLine, signalLen)
hist = macdLine - signalLine
macdBull = hist > 0 and hist > hist
macdBear = hist < 0 and hist < hist
// === Linear Regression ===
linreg = ta.linreg(close, linregLen, 0)
bullCandle = close > linreg
bearCandle = close < linreg
barcolor(bullCandle ? color.new(color.green, 40) : bearCandle ? color.new(color.red, 40) : na)
// === UT Bot ===
atr = ta.atr(atrPeriod)
upperBand = close + atr * atrMultiplier
lowerBand = close - atr * atrMultiplier
var float trend = na
trend := na(trend ) ? 1 : trend
trend := close > upperBand ? 1 : close < lowerBand ? -1 : trend
buyUT = ta.crossover(trend, 0)
sellUT = ta.crossunder(trend, 0)
// === ENTRY CONDITIONS ===
longCondition = buyUT and bullCandle and macdBull and close > ema
shortCondition = sellUT and bearCandle and macdBear and close < ema
plotshape(longCondition, title="BUY Signal", location=location.belowbar, color=color.green, style=shape.labelup, text="BUY", size=size.small)
plotshape(shortCondition, title="SELL Signal", location=location.abovebar, color=color.red, style=shape.labeldown, text="SELL", size=size.small)
bgcolor(longCondition ? color.new(color.green, 85) : shortCondition ? color.new(color.red, 85) : na, title="Signal Background")
// === Alerts ===
alertcondition(longCondition, title="BUY Alert", message="XAUUSD BUY setup triggered!")
alertcondition(shortCondition, title="SELL Alert", message="XAUUSD SELL setup triggered!")
Indicadores de Banda
Uniswap LP Range Helper by Dayn12Sir
A lightweight Pine Script indicator that lets you:
Visualize any v3/v4 position – set lower/upper ticks, entry price and deposit; the script draws the range and entry lines.
See token balances – labels show how much Token0 or Token1 you’ll hold when the price hits the lower or upper boundary.
Estimate earnings – enter pool TVL, 24 h volume and fee-tier (%). An optional k-factor boosts fees if your range is tighter than the average pool. The panel displays daily fees (USD) and projected APR %.
Toggle everything – check-boxes quickly hide/show range lines, entry line, balance labels or fee label.
Works on any USD-quoted chart; just update the inputs to match the pool you’re analysing.
-------------------------------------------------------------------------------------------------------------
Небольшой Pine Script-индикатор, который позволяет:
Визуализировать позицию v3/v4 — задайте нижнюю/верхнюю границы, цену входа и депозит; скрипт рисует диапазон и линию входа.
Показать остатки токенов — подписи отображают, сколько Token0 или Token1 останется при выходе по нижней или верхней границе.
Оценить доход — введите TVL пула, объём за 24 ч и комиссию пула (%). Дополнительный k-factor увеличивает доход, если ваш диапазон уже среднего. В панели выводятся суточные комиссии (USD) и прогноз APR %.
Управлять отображением — чек-боксы позволяют скрыть/показать линии диапазона, линию входа, подписи остатков или подпись комиссий.
Работает на любом графике, котируемом в USD; достаточно подставить реальные данные пула.
RSI + Stoch + Double Rebond EMA21 (GBPUSD & EURUSD)When the price makes 1 bounce on the ema21 + rsi and stocha in overbought or oversold, it sends me an alert.
DAVPAK LONG AND SHORTDAVPAK LONG AND SHORT is a multi-timeframe MACD-based indicator designed to detect long and short entry signals with high precision across five configurable timeframes (5min, 15min, 30min, 1H, 4H).
The script draws color-coded vertical lines when a MACD crossover is detected in each timeframe, with customizable color, line style, and thickness.
MACD values are scaled to enhance visual clarity.
Configurable alerts are included for each crossover event.
Additionally, the MACD and signal lines are plotted with distinct colors to identify bullish or bearish momentum easily.
The indicator also includes ±270, ±1000, and ±2000 visual zones to guide overbought/oversold regions.
Features:
MACD-based logic across multiple timeframes
Custom styling per timeframe
Scalable MACD visualization
Alert-ready
Visual crossover markers on chart
Ideal for:
Scalpers, swing traders, and MTF confirmation strategies.
RSI + Stoch + Double Rebond EMA21 (GBPUSD & EURUSD)When the price makes 1 bounce on the ema21 + rsi and stocha in overbought or oversold, it sends me an alert.
My Custom IndicatorThis script implements a simple yet effective RSI-based trading strategy. It uses the Relative Strength Index (RSI) to generate buy and exit signals based on overbought and oversold conditions.
How It Works:
Buy Entry: When RSI crosses above 30 (indicating recovery from an oversold state).
Exit: When RSI crosses below 70 (potential reversal from an overbought state).
Plots the RSI line and key thresholds (30/70) directly on the chart.
Designed for backtesting with TradingView’s strategy function.
Features:
Fully automated entry and exit logic
Customizable RSI settings (just edit the code)
Visual RSI plot and threshold lines
Works on any asset or timeframe
This strategy is suitable for trend-following or mean-reversion setups, and is best used in combination with other filters (like moving averages or price action patterns) for improved accuracy
EMA 9 vs EMA 150 Cross Indicator//@version=5
indicator("EMA 9 vs EMA 150 Cross Indicator", overlay=true)
// Input EMAs
shortEmaLen = input.int(9, title="Short EMA (Fast)")
longEmaLen = input.int(150, title="Long EMA (Slow)")
// Calculate EMAs
emaShort = ta.ema(close, shortEmaLen)
emaLong = ta.ema(close, longEmaLen)
// Detect Crosses
bullishCross = ta.crossover(emaShort, emaLong)
bearishCross = ta.crossunder(emaShort, emaLong)
// Plot EMAs
plot(emaShort, title="EMA 9", color=color.gray)
emaColor = emaShort > emaLong ? color.green : color.red
plot(emaLong, title="EMA 150", color=emaColor, linewidth=2)
// Plot Arrows
plotshape(bullishCross, title="Buy Signal", location=location.belowbar, color=color.green, style=shape.arrowup, size=size.small)
plotshape(bearishCross, title="Sell Signal", location=location.abovebar, color=color.red, style=shape.arrowdown, size=size.small)
Mathematical Previous Day's Levels🧠 Mathematical Previous Day's Levels
This powerful indicator combines price action logic with mathematically derived levels to help traders visualize key intraday and positional support/resistance zones.
deal for:
Intraday Traders (NIFTY/BANKNIFTY focused)
Mathematical/Quant-based trading strategies
Those who combine technical levels with market structure
Anyone who wants clarity with clean visual aids
🚀 Kapsamlı Kripto Teknik Analizkta fib crt göstergesi crt bölgesi beyaz mum ile belirtilmiş fib seviyeleri otomatik yeniler
Price Density Strategy ScoreBased on the rules we defined, a composite score (-3 to +3) is calculated and displayed as colored bars below the chart:
Dark green (+3): Strong buy signal
Light green (+1, +2): Mildly bullish
Gray (0): Neutral
Light red (-1, -2): Mildly bearish
Dark red (-3): Strong sell signal
根据我们定义的规则，计算一个综合分数（-3 到 +3），并在图表下方用不同颜色的柱状图显示出来：
深绿色 (+3)：强力买入信号
浅绿色 (+1, +2)：温和看涨
灰色 (0)：中性
浅红色 (-1, -2)：温和看跌
深红色 (-3)：强力卖出信号
All in one V2.3 [NMTUAN]Introducing All-in-one V2.3 : Your Complete Trading Compass!
Are you searching for a single, powerful trading system that offers a holistic view of the market and pinpoints optimal entry and exit points? Look no further than All-in-one V2.3 , the meticulously refined indicator system developed by author Nguyễn Minh Tuấn. This comprehensive solution is designed to empower traders with everything they need to navigate any financial market, on any timeframe.
All-in-one V2.3 integrates a full suite of essential trading tools, providing you with unparalleled clarity and precision:
Advanced Trend Identification: Get a crystal-clear understanding of market direction. Our system's sophisticated trend indicators help you cut through the noise, ensuring you're always aligned with the prevailing market momentum.
Dynamic Support & Resistance: Say goodbye to guesswork. All-in-one V2.3 accurately identifies dynamic support and resistance levels, giving you critical insights into potential price turning points for strategic decision-making.
Comprehensive Market Insights: From market sentiment to volatility, this system offers a panoramic view of the market's underlying dynamics. You'll gain a deeper understanding of what's driving price action, enabling more informed trades.
The true power of All-in-one V2.3 lies in its versatility and comprehensive nature. It's engineered to adapt to your trading style and preferences, making it ideal for:
Any Financial Product: Whether you trade stocks, forex, commodities, cryptocurrencies, or indices, All-in-one V2.3 provides relevant and actionable insights across the board.
Any Timeframe: From scalping on minute charts to long-term investing on daily or weekly charts, the system seamlessly adjusts to your preferred trading horizon.
With All-in-one V2.3 , you're not just getting a collection of indicators; you're gaining a fully integrated trading environment that helps you:
See the Big Picture: Understand how various market forces are interacting.
Choose Optimal Entry/Exit Points: Confidently identify when to enter and exit trades for maximum potential.
Simplify Your Analysis: Reduce clutter and focus on what truly matters for profitable trading.
Empower your trading with All-in-one V2.3 and experience market clarity like never before.
Ready to elevate your trading journey?
Zero Lag Trend Signals (MTF) [AlgoAlpha]// This Pine Script™ code is subject to the terms of the Mozilla Public License 2.0 at mozilla.org
// © AlgoAlpha
//@version=5
indicator("Zero Lag Trend Signals (MTF) ", shorttitle="AlgoAlpha - 0️⃣Zero Lag Signals", overlay=true)
length = input.int(70, "Length", tooltip = "The Look-Back window for the Zero-Lag EMA calculations", group = "Main Calculations")
mult = input.float(1.2, "Band Multiplier", tooltip = "This value controls the thickness of the bands, a larger value makes the indicato less noisy", group = "Main Calculations")
t1 = input.timeframe("5", "Time frame 1", group = "Extra Timeframes")
t2 = input.timeframe("15", "Time frame 2", group = "Extra Timeframes")
t3 = input.timeframe("60", "Time frame 3", group = "Extra Timeframes")
t4 = input.timeframe("240", "Time frame 4", group = "Extra Timeframes")
t5 = input.timeframe("1D", "Time frame 5", group = "Extra Timeframes")
green = input.color(#00ffbb, "Bullish Color", group = "Appearance")
red = input.color(#ff1100, "Bearish Color", group = "Appearance")
src = close
lag = math.floor((length - 1) / 2)
zlema = ta.ema(src + (src - src ), length)
volatility = ta.highest(ta.atr(length), length*3) * mult
var trend = 0
if ta.crossover(close, zlema+volatility)
trend := 1
if ta.crossunder(close, zlema-volatility)
trend := -1
zlemaColor = trend == 1 ? color.new(green, 70) : color.new(red, 70)
m = plot(zlema, title="Zero Lag Basis", linewidth=2, color=zlemaColor)
upper = plot(trend == -1 ? zlema+volatility : na, style = plot.style_linebr, color = color.new(red, 90), title = "Upper Deviation Band")
lower = plot(trend == 1 ? zlema-volatility : na, style = plot.style_linebr, color = color.new(green, 90), title = "Lower Deviation Band")
fill(m, upper, (open + close) / 2, zlema+volatility, color.new(red, 90), color.new(red, 70))
fill(m, lower, (open + close) / 2, zlema-volatility, color.new(green, 90), color.new(green, 70))
plotshape(ta.crossunder(trend, 0) ? zlema+volatility : na, "Bearish Trend", shape.labeldown, location.absolute, red, text = "▼", textcolor = chart.fg_color, size = size.small)
plotshape(ta.crossover(trend, 0) ? zlema-volatility : na, "Bullish Trend", shape.labelup, location.absolute, green, text = "▲", textcolor = chart.fg_color, size = size.small)
plotchar(ta.crossover(close, zlema) and trend == 1 and trend == 1 ? zlema-volatility*1.5 : na, "Bullish Entry", "▲", location.absolute, green, size = size.tiny)
plotchar(ta.crossunder(close, zlema) and trend == -1 and trend == -1 ? zlema+volatility*1.5 : na, "Bearish Entry", "▼", location.absolute, red, size = size.tiny)
s1 = request.security(syminfo.tickerid, t1, trend)
s2 = request.security(syminfo.tickerid, t2, trend)
s3 = request.security(syminfo.tickerid, t3, trend)
s4 = request.security(syminfo.tickerid, t4, trend)
s5 = request.security(syminfo.tickerid, t5, trend)
s1a = s1 == 1 ? "Bullish" : "Bearish"
s2a = s2 == 1 ? "Bullish" : "Bearish"
s3a = s3 == 1 ? "Bullish" : "Bearish"
s4a = s4 == 1 ? "Bullish" : "Bearish"
s5a = s5 == 1 ? "Bullish" : "Bearish"
if barstate.islast
var data_table = table.new(position=position.top_right, columns=2, rows=6, bgcolor=chart.bg_color, border_width=1, border_color=chart.fg_color, frame_color=chart.fg_color, frame_width=1)
table.cell(data_table, text_halign=text.align_center, column=0, row=0, text="Time Frame", text_color=chart.fg_color)
table.cell(data_table, text_halign=text.align_center, column=1, row=0, text="Signal", text_color=chart.fg_color)
table.cell(data_table, text_halign=text.align_center, column=0, row=1, text=t1, text_color=chart.fg_color)
table.cell(data_table, text_halign=text.align_center, column=1, row=1, text=s1a, text_color=chart.fg_color, bgcolor=s1a == "Bullish" ? color.new(green, 70) : color.new(red, 70))
table.cell(data_table, text_halign=text.align_center, column=0, row=2, text=t2, text_color=chart.fg_color)
table.cell(data_table, text_halign=text.align_center, column=1, row=2, text=s2a, text_color=chart.fg_color, bgcolor=s2a == "Bullish" ? color.new(green, 70) : color.new(red, 70))
table.cell(data_table, text_halign=text.align_center, column=0, row=3, text=t3, text_color=chart.fg_color)
table.cell(data_table, text_halign=text.align_center, column=1, row=3, text=s3a, text_color=chart.fg_color, bgcolor=s3a == "Bullish" ? color.new(green, 70) : color.new(red, 70))
table.cell(data_table, text_halign=text.align_center, column=0, row=4, text=t4, text_color=chart.fg_color)
table.cell(data_table, text_halign=text.align_center, column=1, row=4, text=s4a, text_color=chart.fg_color, bgcolor=s4a == "Bullish" ? color.new(green, 70) : color.new(red, 70))
table.cell(data_table, text_halign=text.align_center, column=0, row=5, text=t5, text_color=chart.fg_color)
table.cell(data_table, text_halign=text.align_center, column=1, row=5, text=s5a, text_color=chart.fg_color, bgcolor=s5a == "Bullish" ? color.new(green, 70) : color.new(red, 70))
/////////////////////////////////////////ALERTS FOR SMALL ARROWS (ENTRY SIGNALS)
alertcondition(ta.crossover(close, zlema) and trend == 1 and trend == 1, "Bullish Entry Signal",
message="Bullish Entry Signal detected. Consider entering a long position.")
alertcondition(ta.crossunder(close, zlema) and trend == -1 and trend == -1, "Bearish Entry Signal",
message="Bearish Entry Signal detected. Consider entering a short position.")
/////////////////////////////////////////ALERTS FOR TREND CONDITIONS
alertcondition(ta.crossover(trend, 0), "Bullish Trend")
alertcondition(ta.crossunder(trend, 0), "Bearish Trend")
alertcondition(ta.cross(trend, 0), "(Bullish or Bearish) Trend")
alertcondition(ta.crossover(s1, 0), "Bullish Trend Time Frame 1")
alertcondition(ta.crossunder(s1, 0), "Bearish Trend Time Frame 1")
alertcondition(ta.cross(s1, 0), "(Bullish or Bearish) Trend Time Frame 1")
alertcondition(ta.crossover(s2, 0), "Bullish Trend Time Frame 2")
alertcondition(ta.crossunder(s2, 0), "Bearish Trend Time Frame 2")
alertcondition(ta.cross(s2, 0), "(Bullish or Bearish) Trend Time Frame 2")
alertcondition(ta.crossover(s3, 0), "Bullish Trend Time Frame 3")
alertcondition(ta.crossunder(s3, 0), "Bearish Trend Time Frame 3")
alertcondition(ta.cross(s3, 0), "(Bullish or Bearish) Trend Time Frame 3")
alertcondition(ta.crossover(s4, 0), "Bullish Trend Time Frame 4")
alertcondition(ta.crossunder(s4, 0), "Bearish Trend Time Frame 4")
alertcondition(ta.cross(s4, 0), "(Bullish or Bearish) Trend Time Frame 4")
alertcondition(ta.crossover(s5, 0), "Bullish Trend Time Frame 5")
alertcondition(ta.crossunder(s5, 0), "Bearish Trend Time Frame 5")
alertcondition(ta.cross(s5, 0), "(Bullish or Bearish) Trend Time Frame 5")
alertcondition(ta.crossover(close, zlema) and trend == 1 and trend == 1, "Bullish Entry")
alertcondition(ta.crossunder(close, zlema) and trend == -1 and trend == -1, "Bearish Entry")
bullishAgreement = s1 == 1 and s2 == 1 and s3 == 1 and s4 == 1 and s5 == 1
bearishAgreement = s1 == -1 and s2 == -1 and s3 == -1 and s4 == -1 and s5 == -1
alertcondition(bullishAgreement, "Full Bullish Agreement", message="All timeframes agree on bullish trend.")
alertcondition(bearishAgreement, "Full Bearish Agreement", message="All timeframes agree on bearish trend.")
Super Stock Ranking v6 - Rank 1-100Overview:
This powerful indicator is designed to evaluate and rank all stocks across the entire market based on multi-timeframe price performance. It helps traders and investors quickly identify the strongest stocks—those consistently outperforming their peers over various cycles.
Key Features:
Volumatic Variable Index Dynamic Average [BigBeluga]Strong Buying Power Detector – Indicator Introduction This indicator is designed to identify stocks exhibiting strong buying pressure — a key characteristic of potential market leaders and super-performing stocks. By analyzing volume dynamics,
KY CO KHOEThis powerful custom indicator is designed to help traders identify potential super stocks—those with exceptional momentum, trend alignment, and breakout behavior. By combining multiple proven techniques into a single view, this tool gives you a data-driven edge in spotting high-probability trade setups.
“Risk-Asset Liquidity Meter”The CN10Y / DXY / HY-OAS Liquidity Gauge distills three cross-asset signals into a single real-time line that has proven highly responsive to global liquidity swings. By dividing China’s 10-year government-bond yield (a proxy for PBoC policy) by both the U.S. Dollar Index level (a barometer of worldwide dollar tightness) and the ICE BofA U.S. High-Yield credit spread (a daily read on risk appetite), the indicator rises when monetary conditions loosen—China is easing, the dollar is softening, and credit markets are calm—and falls when any of those pillars tighten. Traders pair the raw ratio with its 50-day simple moving average to smooth noise and generate directional signals: sustained moves above the MA typically foreshadow strength in Bitcoin, alt-coins, equities and EM assets, while decisive breaks below it often flag oncoming funding stress or risk-off episodes. Because all inputs update daily and are freely sourced (TVC\:CN10Y, TVC\:DXY, FRED\:BAMLH0A0HYM2), the gauge is a lightweight yet powerful compass for anyone who needs a fast, transparent snapshot of global liquidity’s push-and-pull on crypto and other risk markets.
BB Reentry Alert by miewKey Features of This System:
• Automatically detects “BB False Breakout Traps”
• Simple and easy to use – no need to wait for additional Price Action
• Higher win rate when combined with support/resistance levels or Order Blocks
Sonic R + Regression + Supertrend sonic R , polynomial regession , super trend . i love you , i love you
True Strength Index By DejanTrue Strength Index (TSI)
The True Strength Index is a price momentum oscillator based on double smoothing processing, primarily used to identify overbought/oversold market conditions and trend strength. This version is independently developed and maintained by the Dejan Team, optimized specifically for cryptocurrency trading.
1. Key Features
Double Smoothing Processing: Utilizes two exponential moving average (EMA) calculations on price changes to reduce market noise
Momentum Indicator: Reflects both the rate and direction of price changes
Zero-line Oscillation: Typically fluctuates between +30 and -30
2. Calculation Formula
TSI = (Double-smoothed price change / Double-smoothed absolute price change) × 100
Where:
Primary EMA period: Typically 25
Secondary EMA period: Typically 13
Signal line: Usually a 7-12 period EMA
3. Usage Guidelines
Zero-line Crossovers :
TSI crosses above zero: Buy signal
TSI crosses below zero: Sell signal
Overbought/Oversold Conditions :
TSI > +30: Potential overbought condition
TSI < -30: Potential oversold condition
Divergence Analysis :
Price reaches new high while TSI fails to make new high: Potential bearish divergence
Price reaches new low while TSI fails to make new low: Potential bullish divergence
Signal Line Crossovers :
TSI crosses above signal line: Buy signal
TSI crosses below signal line: Sell signal
4. Advantages and Limitations
Advantages :
Highly responsive to price changes
Effectively filters out short-term volatility
Adaptable to multiple timeframes
Limitations :
May remain in overbought/oversold territory for extended periods during strong trends
Requires confirmation from additional indicators for reliable signals
The TSI indicator works best when combined with other technical analysis tools to enhance trading signal accuracy.
Contact:
QQ: 673008865
WeChat: dejan_he
Combined Indicators: RSI, DMI, ATR, EMA, SMAit is a script that adds every single type of indicator ( but not ribbons ) ...
give it your interest and try it out !!!
feel free to give it a like ...
yours truly jitendra thakur ...
Satyam: Custom IndicatorThis script has two main functions focusing on EMAs (Exponential Moving Average) and Stochastic RSI.
EMAs
EMAs are typically used to give a view of bullish / bearish momentum. When the shorter EMA (calculated off more recent price action) crosses, or is above, the slower moving EMA (calculated off a longer period of price action), it suggests that the market is in an uptrend. This can be an indication to either go long on said asset, or that it is more preferable to take long setups over short setups. Invalidation on long setups is usually found via price action (e.g. previous lows) or simply waiting for an EMA cross in the opposite direction (i.e. shorter EMA crosses under longer term EMA).
This is not a perfect system for trade entry or exit, but it does give a good indication of market trends. The settings for the EMAs can be changed based on user inputs, and by default the candles are coloured based on the crosses to make it more visual. The default settings are based on “Trader XO’s” settings who is an exceptional swing trader.
RSI
Stochastic RSI is a separate indicator that has been added to this script. RSI measures Relative Strength (RSI = Relative Strength Index). When RSI is <20 it is considered oversold, and when >80 it is overbought. These conditions suggests that momentum is very strong in the direction of the trend.
If there is a divergence between the price (e.g. price is creating higher highs, and stoch RSI is creating lower highs) it suggests the strength of the trend is weakening. Whilst this script does not highlight divergences, what it does highlight is when the shorter term RSI (K) crosses over D (the average of last 3 periods). This can give an indication that the trend is losing strength.
Combination
The EMAs indicate when trend shifts (bullish or bearish).
The RSI indicates when the trend is losing momentum.
The combination of the two can be used to suggest when to prefer a directional bias, and subsequently shift in anticipation of a trend reversal.
Note that no signal is 100% accurate and an interpretation of market conditions and price action will need to be overlayed to
