EMA Crossover with Signalswhen the 8 ema line crosses above the 50 ema, a buy signal is initiated. Will not paint again for 24 hours. Should a candle touch the 20 ema line to the downside, a orange X will appear - helps for raising your stop-loss or closing your order.
Multitimeframe
Weekly Open Range [BigBeluga]
A precision weekly range tracker that captures early market positioning from the first moments of the trading week.
By dynamically measuring the highest and lowest points from the first three candles after the Sunday 21:00 UTC open, the indicator builds a reactive support and resistance framework for the week ahead.
It also visualizes the active range with a dynamic box and provides live updates of the current price movement against the established range boundaries.
🔵 KEY FEATURES
Automatically marks the weekly open range starting at Sunday 21:00 UTC .
Identify maximum high and minimum low from the first 3 candles after the weekly open.
if isWeeklyOpen or isWeeklyOpen or isWeeklyOpen or isWeeklyOpen
h = math.max(high, range_box.get_top())
l = math.min(low, range_box.get_bottom())
Draws two horizontal lines from the range extremes, acting as dynamic support/resistance zones throughout the week.
Visualizes the range with a semi-transparent box for clear zone identification.
Includes a compact dashboard panel with:
- Symbol and current price with bullish or bearish bar indication with ▲ / ▼
- Current weekly high/low range values
🔵 USAGE
Treat the high and low of the range as support/resistance zones for the week.
Combine with volume analysis or liquidity tools for entry confirmation .
Refresh your key levels every week as the indicator resets each Sunday night .
Works great alongside Smart Money Concepts (ICT) strategies and weekly planning.
Weekly Open Range gives traders a reliable structure to anchor their week. With clear range mapping, breakout signals, and intuitive visuals, it becomes a valuable part of any strategic trading approach—especially when precision timing around liquidity zones is key.
Cointegration Buy and Sell Signals [EdgeTerminal]The Cointegration Buy And Sell Signals is a sophisticated technical analysis tool to spot high-probability market turning points — before they fully develop on price charts.
Most reversal indicators rely on raw price action, visual patterns, or basic and common indicator logic — which often suffer in noisy or trending markets. In most cases, they lag behind the actual change in trend and provide useless and late signals.
This indicator is rooted in advanced concepts from statistical arbitrage, mean reversion theory, and quantitative finance, and it packages these ideas in a user-friendly visual format that works on any timeframe and asset class.
It does this by analyzing how the short-term and long-term EMAs behave relative to each other — and uses statistical filters like Z-score, correlation, volatility normalization, and stationarity tests to issue highly selective Buy and Sell signals.
This tool provides statistical confirmation of trend exhaustion, allowing you to trade mean-reverting setups. It fades overextended moves and uses signal stacking to reduce false entries. The entire indicator is based on a very interesting mathematically grounded model which I will get into down below.
Here’s how the indicator works at a high level:
EMAs as Anchors: It starts with two Exponential Moving Averages (EMAs) — one short-term and one long-term — to track market direction.
Statistical Spread (Regression Residuals): It performs a rolling linear regression between the short and long EMA. Instead of using the raw difference (short - long), it calculates the regression residual, which better models their natural relationship.
Normalize the Spread: The spread is divided by historical price volatility (ATR) to make it scale-invariant. This ensures the indicator works on low-priced stocks, high-priced indices, and crypto alike.
Z-Score: It computes a Z-score of the normalized spread to measure how “extreme” the current deviation is from its historical average.
Dynamic Thresholds: Unlike most tools that use fixed thresholds (like Z = ±2), this one calculates dynamic thresholds using historical percentiles (e.g., top 10% and bottom 10%) so that it adapts to the asset's current behavior to reduce false signals based on market’s extreme volatility at a certain time.
Z-Score Momentum: It tracks the direction of the Z-score — if Z is extreme but still moving away from zero, it's too early. It waits for reversion to start (Z momentum flips).
Correlation Check: Uses a rolling Pearson correlation to confirm the two EMAs are still statistically related. If they diverge (low correlation), no signal is shown.
Stationarity Filter (ADF-like): Uses the volatility of the regression residual to determine if the spread is stationary (mean-reverting) — a key concept in cointegration and statistical arbitrage. It’s not possible to build an exact ADF filter in Pine Script so we used the next best thing.
Signal Control: Prevents noisy charts and overtrading by ensuring no back-to-back buy or sell signals. Each signal must alternate and respect a cooldown period so you won’t be overwhelmed and won’t get a messy chart.
Important Notes to Remember:
The whole idea behind this indicator is to try to use some stat arb models to detect shifting patterns faster than they appear on common indicators, so in some cases, some assumptions are made based on historic values.
This means that in some cases, the indicator can “jump” into the conclusion too quickly. Although we try to eliminate this by using stationary filters, correlation checks, and Z-score momentum detection, there is still a chance some signals that are generated can be too early, in the stock market, that's the same as being incorrect. So make sure to use this with other indicators to confirm the movement.
How To Use The Indicator:
You can use the indicator as a standalone reversal system, as a filter for overbought and oversold setups, in combination with other trend indicators and as a part of a signal stack with other common indicators for divergence spotting and fade trades.
The indicator produces simple buy and sell signals when all criteria is met. Based on our own testing, we recommend treating these signals as standalone and independent from each other . Meaning that if you take position after a buy signal, don’t wait for a sell signal to appear to exit the trade and vice versa.
This is why we recommend using this indicator with other advanced or even simple indicators as an early confirmation tool.
The Display Table:
The floating diagnostic table in the top-right corner of the chart is a key part of this indicator. It's a live statistical dashboard that helps you understand why a signal is (or isn’t) being triggered, and whether the market conditions are lining up for a potential reversal.
1. Z-Score
What it shows: The current Z-score value of the volatility-normalized spread between the short EMA and the regression line of the long EMA.
Why it matters: Z-score tells you how statistically extreme the current relationship is. A Z-score of:
0 = perfectly average
> +2 = very overbought
< -2 = very oversold
How to use it: Look for Z-score reaching extreme highs or lows (beyond dynamic thresholds). Watch for it to start reversing direction, especially when paired with green table rows (see below)
2. Z-Score Momentum
What it shows: The rate of change (ROC) of the Z-score:
Zmomentum=Zt − Zt − 1
Why it matters: This tells you if the Z-score is still stretching out (e.g., getting more overbought/oversold), or reverting back toward the mean.
How to use it: A positive Z-momentum after a very low Z-score = potential bullish reversal A negative Z-momentum after a very high Z-score = potential bearish reversal. Avoid signals when momentum is still pushing deeper into extremes
3. Correlation
What it shows: The rolling Pearson correlation coefficient between the short EMA and long EMA.
Why it matters: High correlation (closer to +1) means the EMAs are still statistically connected — a key requirement for cointegration or mean reversion to be valid.
How to use it: Look for correlation > 0.7 for reliable signals. If correlation drops below 0.5, ignore the Z-score — the EMAs aren’t moving together anymore
4. Stationary
What it shows: A simplified "Yes" or "No" answer to the question:
“Is the spread statistically stable (stationary) and mean-reverting right now?”
Why it matters: Mean reversion strategies only work when the spread is stationary — that is, when the distance between EMAs behaves like a rubber band, not a drifting cloud.
How to use it: A "Yes" means the indicator sees a consistent, stable spread — good for trading. "No" means the market is too volatile, disjointed, or chaotic for reliable mean reversion. Wait for this to flip to "Yes" before trusting signals
5. Last Signal
What it shows: The last signal issued by the system — either "Buy", "Sell", or "None"
Why it matters: Helps avoid confusion and repeated entries. Signals only alternate — you won’t get another Buy until a Sell happens, and vice versa.
How to use it: If the last signal was a "Buy", and you’re watching for a Sell, don’t act on more bullish signals. Great for systems where you only want one position open at a time
6. Bars Since Signal
What it shows: How many bars (candles) have passed since the last Buy or Sell signal.
Why it matters: Gives you context for how long the current condition has persisted
How to use it: If it says 1 or 2, a signal just happened — avoid jumping in late. If it’s been 10+ bars, a new opportunity might be brewing soon. You can use this to time exits if you want to fade a recent signal manually
Indicator Settings:
Short EMA: Sets the short-term EMA period. The smaller the number, the more reactive and more signals you get.
Long EMA: Sets the slow EMA period. The larger this number is, the smoother baseline, and more reliable trend bases are generated.
Z-Score Lookback: The period or bars used for mean & std deviation of spread between short and long EMAs. Larger values result in smoother signals with fewer false positives.
Volatility Window: This value normalizes the spread by historical volatility. This allows you to prevent scale distortion, showing you a cleaner and better chart.
Correlation Lookback: How many periods or how far back to test correlation between slow and long EMAs. This filters out false positives when EMAs lose alignment.
Hurst Lookback: The multiplier to approximate stationarity. Lower leads to more sensitivity to regime change, higher produces a more stricter filtering.
Z Threshold Percentile: This value sets how extreme Z-score must be to trigger a signal. For example, 90 equals only top/bottom 10% of extremes, 80 = more frequent.
Min Bars Between Signals: This hard stop prevents back-to-back signals. The idea is to avoid over-trading or whipsaws in volatile markets even when Hurst lookback and volatility window values are not enough to filter signals.
Some More Recommendations:
We recommend trying different EMA pairs (10/50, 21/100, 5/20) for different asset behaviors. You can set percentile to 85 or 80 if you want more frequent but looser signals. You can also use the Z-score reversion monitor for powerful confirmation.
BTC Growth | AlchimistOfCrypto🌈 BTC Regression Bands & Halvings – Unveiling Bitcoin's Logarithmic Growth Fields 🌈
"The Bitcoin Regression Bands, engineered through advanced logarithmic mathematics, visualizes the probabilistic distribution of Bitcoin's price evolution within a multi-cycle growth paradigm. This indicator employs principles from hyperbolic regression where decay coefficients create mathematical boundaries that define Bitcoin's long-term value progression. Our implementation features algorithmically enhanced rainbow visualization derived from extensive cycle analysis, creating a dynamic representation of Bitcoin's logarithmic growth with adaptive color gradients that highlight critical halving-based phase transitions in the asset's monetary evolution."
📊 Professional Trading Application
The Bitcoin Regression Bands transcends traditional price prediction models with a sophisticated multi-band illumination system that reveals the underlying structure of Bitcoin's monetary evolution. Scientifically calibrated across multiple halving cycles and featuring seamless rainbow visualization, it enables investors to perceive Bitcoin's position within its macro growth trajectory with unprecedented clarity.
- Visual Theming 🎨
Scientifically designed rainbow gradient optimized for cycle pattern recognition:
- Violet-Blue: Lower value accumulation zones with highest mathematical growth potential
- Green: Fair value equilibrium zone representing the regression mean
- Yellow-Orange: Moderate overvaluation regions indicating potential resistance
- Red: Statistical extreme zones indicating mathematical cycle peaks
- Halving Visualization 🔍
- Precise cycle boundaries demarcating Bitcoin's fundamental supply shock events
- Adaptive band spacing based on mathematical cycle progression
- Multiple sub-cycle markers revealing the probabilistic nature of Bitcoin's trajectory
🚀 How to Use
1. Identify Macro Position ⏰: Locate Bitcoin's current price relative to the regression bands
2. Understand Cycle Context 🎚️: Note position within the current halving cycle for time-based analysis
3. Assess Mathematical Value 🌈: Determine potential over/undervaluation based on band location
4. Adjust Investment Strategy 🔎: Modulate position sizing based on mathematical value assessment
5. Identify Cycle Phases ✅: Monitor band transitions to detect accumulation and distribution zones
6. Invest with Precision 🛡️: Utilize lower bands for strategic accumulation, upper bands for strategic reduction
7. Manage Risk Dynamically 🔐: Scale investment allocations based on mathematical cycle positioning
M.u.l.t.i Indicator [fikri production]"This indicator is designed to help traders identify short-term and long-term trends by using exponential moving averages (EMA). It works best on the 1-hour and 4-hour timeframes, providing clear confirmation of the market's direction.
Users can customize the EMA periods to fit different trading strategies, whether for scalping, swing trading, or longer-term analysis. The indicator is ideal for those who prefer a clean and simple trend-following system without unnecessary noise.
Recommended settings and usage tips are included to help you maximize the performance of this tool."
Bob Volman - Engulfing Pullback with Trend Filter [v6]Dãi ema có tín hiệu để vào lệnh và đi theo xu hướng
Sessions by SHARK [Kyiv Time]Why Forex Sessions Matter
First of all, it is very convenient for a trader to structure their working hours. The best times to open positions are during the London Kill Zone (KZ) and New York Kill Zone (KZ). Based on what happens within each session, you can build your future analysis while considering the overall context.
We must understand that there are specific times of the day that are more or less volatile. Knowing this will help you determine when you should be looking for trade setups and when you should avoid them.
Trading outside of the Kill Zones can lead to holding positions for too long because market liquidity decreases, which in turn leads to lower volatility.
Scalping Bollinger BreakoutThe Scalping Bollinger Breakout Indicator is designed for scalping and short-term trading.
Key features:
Bollinger Bands: Detects volatility-driven breakouts above/below upper/lower bands.
MACD: Confirms bullish/bearish momentum for reliable signals.
Heikin Ashi: Aligns trades with smoothed trend direction, reducing noise.
Volume Filter: Ensures breakouts are supported by elevated volume.
Non-Repainting: Uses closed-bar data for consistent, reliable signals.
Visuals & Alerts: Displays buy/sell triangles and includes trading alerts.
Ideal for fast-paced trading in volatile markets.
MSS + Confirmation + RSI + Strong Candle FilterMSS Strong Confirmed Indicator
This indicator is designed to detect only the strongest entry opportunities based on strict conditions:
✅ MSS (Market Structure Shift) detection.
✅ Waiting for a strong confirmation candle (body > 60% of total candle length).
✅ RSI filter (above 50 for Long, below 50 for Short).
✅ AlphaTrend trend confirmation.
✅ Automatic drawing of Take Profit (TP) and Stop Loss (SL) levels.
Only rare, high-probability entries are shown — no noise, no false signals.
Ideal for traders who prioritize accuracy and quality over quantity.
Script created and designed by Taha Shalata 💎🚀
Ultimate Multi EMA🔹 Ultimate Multi EMA + HTF Bias Line
This script plots four customizable EMAs (8, 21, 50, 200) with flexible colors and line widths.
It also adds an automatic Higher Timeframe (HTF) EMA line:
On the Daily timeframe: shows the Weekly EMA.
On lower timeframes (like 1-minute): shows the Daily EMA.
The HTF EMA helps to easily identify market bias.
All colors and thicknesses can be adjusted in the settings.
Default settings:
EMA 8 (green)
EMA 21 (gold)
EMA 50 (blue)
EMA 200 (black)
HTF EMA (lilac)
Islamabad Forex Academy Strategy-1 Best on 1H-4H forex charts (EURUSD/GBPUSD)
Adjust supertrend multiplier between 2.5-3.2 based on volatility
Switch to close-price crosses during low volatility periods
Combine with London/New York sessions for best results
Clean Liquidity + 8 EMA Body-Match Cross Painter (Custom Alerts)The painted bars represent the liquidity blocks high and low. when you mark the high and low of the painted bars, there is a significant chance for a great setup entry!
Pi Cycle | AlchimistOfCrypto Pi Cycle Top Indicator - A Powerful Market Phase Detector
Developed by AlchimistOfCrypto
🧪 The Pi Cycle uses mathematical harmony to identify Bitcoin market cycle tops
with remarkable precision. Just as elements react at specific temperatures,
Bitcoin price behaves predictably when these two moving averages converge! 🧬
⚗️ The formula measures when the 111-day SMA crosses below the 350-day SMA × 2,
creating a perfect alchemical reaction that has successfully identified the
major cycle tops in 2013, 2017, and 2021.
🔬 Like the Golden Ratio in nature, this indicator reveals the hidden
mathematical structure within Bitcoin's chaotic price movements.
🧮 When the reaction occurs, prepare for molecular breakdown! 🔥
Smart Breakout with ATR Stop-LossThe Smart Breakout indicator combines a classic 20-day Donchian channel breakout with a tight trailing stop, drawing green lines and “ENTRY” labels at the bar after a valid breakout, and red lines and “EXIT” label at the bar after a stop-loss breach.
By default it uses the chart’s timeframe to compute ATR and stops, but you can flip on Daily lock to freeze both ATR and price reads at the daily resolution—so your stops stay the same whether you view at 1s, 15 m, 4h or lower frequency bars.
Key features:
20-day Donchian breakout: entry when price closes above the highest high of the previous 20 bars
2 × ATR(14) trailing stop: initialized at entry and raised only when the new (close – 2 × ATR) exceeds the prior stop
Daily lock option: Ensures all ATR and close values are calculated on the daily timeframe, keeping stop levels consistent across resolutions
Moving Average ToolkitMoving Average Toolkit - Advanced MA Analysis with Flexible Source Input
A powerful and versatile moving average indicator designed for maximum flexibility. Its unique source input feature allows you to analyze moving averages of ANY indicator or price data, making it perfect for creating custom combinations with RSI, Volume, OBV, or any other technical indicator.
Key Features:
• Universal Source Input:
- Analyze moving averages of any data: Price, Volume, RSI, MACD, Custom Indicators
- Perfect for creating advanced technical setups
- Identify trends in any technical data
• 13 Moving Average Types:
- Traditional: SMA, EMA, WMA, RMA, VWMA
- Advanced: HMA, T3, DEMA, TEMA, KAMA, ZLEMA, McGinley, EPMA
• Dual MA System:
- Compare two different moving averages
- Independent settings for each MA
- Perfect for multiple timeframe analysis
• Visual Offset Analysis:
- Dynamic color changes based on momentum
- Fill between current and offset values
- Clear visualization of trend strength
Usage Examples:
• Price Trend: Traditional MA analysis using price data
• Volume Trend: Apply MA to volume for volume trend analysis
• RSI Trend: Smooth RSI movements for clearer signals
• Custom: Apply to any indicator output for unique insights
Settings:
• Fully customizable colors for bull/bear conditions
• Adjustable offset periods
• Independent length settings
• Optional second MA for comparison
Perfect for:
• Advanced technical analysts
• Multi-indicator strategy developers
• Custom indicator creators
• Traders seeking flexible analysis tools
This versatile toolkit goes beyond traditional moving averages by allowing you to apply sophisticated MA analysis to any technical data, creating endless possibilities for custom technical analysis strategies.
1-Hour Candlestick Patterns on 15m Chartplots 1 hour candlesticks on lower timeframe so there is no need to jump from higher time frame to lower time frame.
RSI_Heikinashi📜 Title:
Heikin-Ashi RSI Candle Plot with Multi-Timeframe Analysis and EMA Overlay
📖 Full Description:
This is an original custom indicator that transforms the traditional Relative Strength Index (RSI) into a Heikin-Ashi (HA) candle representation, allowing traders to visualize RSI trends with greater clarity, less noise, and multi-timeframe perspective.
🛠️ Core Concept and Original Method:
Rather than plotting a single RSI line, this script recalculates RSI into a Heikin-Ashi candle format, using a double EMA smoothing method on the RSI data itself.
Here's how the transformation works:
RSI Calculation:
RSI is computed traditionally using Wilder's Moving Average (RMA) for smoothing gains and losses.
The RSI period and price source are fully customizable (default length = 28, source = close).
Heikin-Ashi Style Smoothing (applied to RSI):
The HA Close is calculated as the EMA of the average between the current RSI and previous HA Close.
The HA Open is calculated as the EMA of the average between the previous HA Open and the current HA Close.
The HA High and HA Low are dynamically calculated based on the maximum/minimum values of the current RSI, HA Open, and HA Close.
Smoothing is done via 5-period EMA, which adds a unique layer of trend smoothing without traditional price-based HA calculation.
Multi-Timeframe Comparison:
In addition to plotting the chart timeframe HA RSI, the indicator retrieves the 1-hour timeframe HA RSI using request.security.
This allows traders to align trades with higher timeframe RSI trends, a powerful technique for multi-timeframe confirmation.
50 EMA Overlay:
A 50-period Exponential Moving Average (EMA) is plotted over both the chart timeframe HA RSI and the 1-hour HA RSI.
EMA acts as a trend filter or dynamic support/resistance for RSI behavior.
RSI Bands and Visual Aids:
Standard RSI bands at 70 (Overbought), 50 (Midline), and 30 (Oversold) are plotted.
A shaded background between the 30–70 levels helps highlight RSI range-bound movements versus breakout momentum.
🔥 Why this script is original and useful:
Unique Application:
This is not a simple RSI plot or standard Heikin-Ashi candle — it is a specialized smoothing method applied directly to RSI values for a clearer, noise-reduced momentum reading.
Multi-Timeframe Advantage:
Unlike typical RSI indicators, it includes a 1-hour timeframe comparison alongside the chart timeframe, improving decision-making across intraday and swing strategies.
Advanced Smoothing Logic:
Double EMA smoothing of RSI and HA-style recalculations offer a much smoother signal than traditional RSI or basic RSI/EMA crossovers.
Visualized Trend Strength:
Using colored candles instead of just a line enhances readability and gives an intuitive sense of momentum direction, strength, and possible reversals.
Fully Customizable:
Traders can adjust the RSI period and source depending on asset volatility or timeframe preferences.
📋 How to Use:
Look for HA RSI candles color changes for early momentum shifts.
Use the 50 EMA crossovers on HA RSI to confirm larger trend changes.
Compare chart timeframe vs 1H timeframe HA RSI for stronger signal alignment.
Watch for overbought/oversold breaks beyond the 70/30 bands for trade entries or exits.
⚙️ Inputs:
RSI Length (Default: 28)
RSI Source (Default: Close)
📢 Important Note:
This script is originally conceptualized and custom-built.
It is not a mashup of existing open-source indicators and introduces a new smoothing technique for RSI visualization.
🙏 Credits:
Script developed by Sri_RSI.
Ultimate Multi EMA🔹 Ultimate Multi EMA + HTF Bias Line
This script plots four customizable EMAs (8, 21, 50, 200) with flexible colors and line widths.
It also adds an automatic Higher Timeframe (HTF) EMA line:
On the Daily timeframe: shows the Weekly EMA.
On lower timeframes (like 1-minute): shows the Daily EMA.
The HTF EMA helps to easily identify market bias.
All colors and thicknesses can be adjusted in the settings.
Default settings:
EMA 8 (green)
EMA 21 (gold)
EMA 50 (blue)
EMA 200 (black)
HTF EMA (lilac)
Scalping Supertrend + Stochastic RSIThe Scalping Supertrend + Stochastic RSI Indicator is designed for short-term trading and scalping on lower timeframes. It combines the Supertrend indicator to identify trend direction with the Stochastic RSI to pinpoint overbought/oversold conditions for precise entry and exit signals. The indicator generates buy and sell signals when the Stochastic RSI crosses predefined levels (oversold/overbought) while aligned with the Supertrend’s trend direction.
Flask's Week IndicatorThis indicator shows the start of each new week and syncs local timezone to exchange you trading on.
ICT Ultimate Checklist | MARKET MAVERISK MOHAMMAD ESMAILIIThis indicator serves as a checklist for ICT traders. It stays on the chart regularly because the ICT method has various components for confirmation needed to enter a trade, helping us not to get distracted and stay on our strategy.
