Ruben.Ramiro - Momentum Breakout StrategyThis strategy is designed to capture breakout movements aligned with the prevailing trend, using a combination of Exponential Moving Averages (EMAs), Relative Strength Index (RSI), and Average True Range (ATR) for entry signals and risk management. It includes clear long/short entry conditions, dynamic stop-losses.
1. Trend Identification
Uses two EMAs:
• Fast EMA (default 20 periods)
• Slow EMA (default 50 periods)
The trend is considered bullish if EMA Fast > EMA Slow, and bearish if EMA Fast < EMA Slow.
2. Momentum Filter (RSI)
Applies a 14-period RSI to avoid entries during overbought/oversold conditions:
• Avoids long entries when RSI > 70 (overbought)
• Avoids short entries when RSI < 30 (oversold)
3. Breakout Logic
Detects breakouts over a configurable period (default: 5 candles):
• Resistance: Highest high over the last N periods (excluding the current one)
• Support: Lowest low over the last N periods (excluding the current one)
4. Entry Conditions
Long Entry:
• Price breaks above recent resistance
• Uptrend confirmed (EMA Fast > EMA Slow)
• RSI not overbought
Short Entry:
• Price breaks below recent support
• Downtrend confirmed (EMA Fast < EMA Slow)
• RSI not oversold
5. Position Management
Stop-Loss and Trailing Stop based on ATR:
Stop-Loss:
• For long: entry price - (ATR * SL multiplier)
• For short: entry price + (ATR * SL multiplier)
Trailing Stop:
• Uses same ATR * trailing multiplier for both trail_points and trail_offset
• Defaults for both SL and trailing multiplier: 1.5x ATR
6. Alerts (Webhook)
JSON-formatted webhook alerts:
• Long entry: Market buy order
• Short entry: Market sell order
7. Visual Cues
• Green triangle below bar for Long entries
• Red triangle above bar for Short entries
Sentiment
SENEE Buy Sell Signal Easy to use:
Buy signal has appeared >>> open long position
Sell signal has appeared >>> open short position
Green ext signal has appeared >>> close long position
Red ext signal has appeared >>> close short position
The colour is an analysis of the trend:
Green bars >>> Up trend
Red bars >>> Down trend
White bars >>> side way
Blue bars >>> Overbought
Orange bars >>> Oversold
How to be setting:
Candles period is Calculation range >>> up to you
Overbought oversold sensitivity is Sensitivity of calculation of
Overbought and Oversold zone
Signal sensitivity is Sensitivity of calculation of Buy,Sell and ext signals
///// Good luck /////
🧠 BEAST Empathy MeterEntry Note:
The BEAST Empathy Meter can be used as a stand alone Indictaor, but it reveals its full strength in combination with the use of "ULTIMATIVES BEAST (LSTM + XGBoost + GARCH + Trend & Momentum" - Indicator
🧠 BEAST Empathy Meter – Emotional Intelligence for the Markets
➤ "Because every great algorithm needs a heart."
🔍 What is the BEAST Empathy Meter?
The BEAST Empathy Meter is a standalone emotional intelligence module designed to measure real-time market sentiment and emotional tension in price action – using a unique combination of logic-based indicators, momentum, volume, volatility, and macro market structure.
It acts as the emotional brain of your trading toolkit, built to complement the powerful logic engine of the main BEAST system.
While the BEAST focuses on detecting optimal entries and exits with precision and AI-enhanced logic, the Empathy Meter focuses on how the market "feels."
🧬 How does it work?
The BEAST Empathy Meter computes a scaled Empathy Score ranging from –100 (extreme fear) to +100 (euphoria), based on these weighted components:
🔑 Components used in Empathy Score:
Component Purpose
Candle structure Detects aggressive or indecisive candles
Volatility shifts Measures tension, contraction, or sudden expansion
Volume change Gauges crowd participation and conviction
Momentum (ROC) Senses acceleration or exhaustion
Trend alignment (EMA21/EMA50) Confirms direction & structure
Squeeze detection Identifies calm before breakout
Pattern emotion Detects Dojis after strong moves = uncertainty
RSI exhaustion Spots emotional overreach (FOMO or panic)
MACD structure Measures internal consistency in the trend
Weekly MACD Aligns local emotions with macro-trend
Setup override logic Overrides score if BEAST is about to trigger entry
Each component is scored numerically, then weighted and blended into a single Empathy Score, which is visually represented by a semi-circular Tachometer – built directly into your chart.
🔁 Real-time Logic Example
If the market is overbought, momentum fades, and a Doji forms → Empathy Score drops toward 0 or below.
If volume spikes, the MACD crosses bullish, trend is intact, and ROC accelerates → Score rises toward 80+.
If a short setup is triggered by the BEAST, the Empathy Score is automatically adjusted downward to reflect the dominant emotion.
🎯 How does it interact with BEAST?
Together, they create a symbiotic system:
BEAST Core Logic 🧠 Empathy Meter 💓
Detects trades via ML, patterns & signals Gauges market sentiment & mood
Uses CNN + LSTM + Wavelet + GCN Uses weighted indicator-based emotion model
Executes only when setups are valid Reflects how emotionally mature the setup is
Operates with logic & statistics Operates with structure-based intuition
➡️ You can use Empathy Meter to:
Confirm BEAST entries when sentiment aligns (e.g., Long Setup + EmpathyScore > 50)
Avoid entries in conflicting sentiment zones (e.g., Short Setup + Score still positive)
Monitor market fear, indecision or greed without relying on news or headlines
🌐 Use Cases
🔸 Add it to any BEAST-powered chart for emotional overlay
🔸 Use it independently as a market mood dashboard
🔸 Combine it with other systems (e.g., LuxAlgo, SMC, etc.) for enhanced context
🔸 Integrate it into screener logic to identify emotional setups across assets
🌟 Why it stands out
✅ No NLP required – Empathy is based on hard logic, not Twitter.
✅ Built by a trader for traders – emotion measured where it actually happens: the chart.
✅ Fully open and customizable – adjust weights, labels, visual zone thresholds.
💬 Final Thought
"A perfect entry is worthless if the market isn't emotionally ready for it."
The BEAST Empathy Meter ensures that your trading decisions are not only logical –
but emotionally aligned with market psychology.
Shall we build emotion-aware trading together?
Drop a like ❤️, comment, or remix – and become part of the BEAST movement.
🧠💥🔥
MA Trend ScoreA Trend Score Indicator inspired by an interview by Navy Ramavat, where I liked the idea presented and decided to publish a script for it.
Disclaimer: I am not associated with Navy Ramavat in any manner.
The goal is to objectify the trend of an instrument and calculate a score which represents the trend strength and direction.
The score is calculated as follows:
If price is > EMA 20 add 1 to the score
If price is > EMA 50 add 1 to the score
If price is > EMA 100 add 1 to the score
If EMA 20 is > EMA 50 add 1 to the score
If EMA 20 is > EMA 100 add 1 to the score
If EMA 50 is > EMA 100 add 1 to the score
If EMA 20 is < EMA 50 deduct 1 from the score
If EMA 20 is < EMA 100 deduct 1 from the score
If EMA 50 is < EMA 100 deduct 1 from the score
The highest score can be 6, and lowest score can be -6
The trend score can be used as per your discretion on the long and short side.
An example of using the trend score on the long side for position sizing is:
100% position size if Score greater than 4
75% position size if Score between 2-4
50% position size if Score between 0-2
25% position size if Score between 0 and -2
0% position size if Score is less than -2
Ranked Parabolic Curve Detector (Adaptive + Reversion Aware)The Parabolic Curve Detector is a smart, adaptable trading signal engine designed to help you spot true momentum — not the flashy head-fakes, but sustained, accelerating moves that have the potential to go parabolic. Whether you’re new to trading or looking to sharpen your edge, this tool combines a suite of time-tested and modern techniques into one unified signal, all while adjusting to changing market conditions.
The core idea is simple: detect when price is not just rising, but accelerating, like a curve bending upward. To do that, the script analyzes the log of price and calculates both:
Slope1: how fast the price is moving (momentum)
Slope2: how fast that momentum is changing (acceleration)
Over a user-defined number of bars (which amounts to sensitivity ), the script checks for consistency. So, for example, if both slope1 and slope2 have been positive for 4 bars, that’s a strong signal.
But it doesn’t stop there.
The key is weighted Intelligence
What makes this tool uniquely customizable is that each layer of signal logic is weighted:
Slope1 and Slope2: You can assign how much these matter (e.g., 60% for slope1, 20% for slope2)
Ichimoku Trend Filter: A bullish setup (Tenkan > Kijun) can contribute to the total score
RSI Context: The indicator checks for overextension (RSI > 70 and falling) and mean-reversion potential (RSI < 45 and rising), adjusting scores accordingly
You can fine-tune these weights to match your trading style — whether you prefer to catch early momentum, ride mature trends, or fade reversals.
Finally, there is adaptive Intelligence . This isn’t a static signal. The indicator auto-adjusts its strictness using:
Slope Flip Rate: If price changes direction frequently, the required bar count increases
Volatility (ATR): In volatile markets, the threshold for signal confirmation tightens to avoid noise
You can turn this adaptive behavior on or off. When enabled, it makes the script self-tuning across timeframes — more reactive on clean moves, more skeptical in chop.
How to Use It
Start on a log-scaled daily chart
Enable the indicator and optionally turn on Adaptive Sensitivity
Look for:
Green Circles = bullish signal with favorable RSI + trend
Orange Circles = still bullish, but possibly overextended
For bearish setups, enable Parabolic Drops in settings
I am still experimenting with it, so if you find a better way to use it, let us know!
My suggested tweaks :
sensitivity: 3–5 for normal, higher for stricter
signalThreshold: 0.7–0.85 depending on how picky you want to be
Weights for slope1/slope2/trend
RSI boost/penalty levels
Session Profile AnalyzerWhat’s This Thing Do?
Hey there, trader! Meet the Session Profile Analyzer (SPA) your new go-to pal for breaking down market action within your favorite trading sessions. It’s an overlay indicator that mixes Rotation Factor (RF), Average Subperiod Range (ASPR), Volume Value Area Range (VOLVAR), and TPO Value Area Range (TPOVAR) into one tidy little toolkit. Think of it as your market vibe checker momentum, volatility, and key levels, all served up with a grin.
The Cool Stuff It Does:
Rotation Factor (RF) : Keeps tabs on whether the market’s feeling bullish, bearish, or just chilling. It’s like a mood ring for price action shows “UP ↑,” “DOWN ↓,” or “NONE ↔.”
ASPR : Averages out the range of your chosen blocks. Big swings? Tiny wiggles? This tells you the session’s energy level.
VOLVAR : Dives into volume to find where the action’s at, with a smart twist it adjusts price levels based on the session’s size and tiny timeframe moves (capped at 128 so your chart doesn’t cry).
TPOVAR : Grabs lower timeframe data to spot where price hung out the most, TPO-style. Value zones, anyone?
Dynamic Precision : No ugly decimal overload SPA matches your asset’s style (2 decimals for BTC, 5 for TRX, you get it).
How to Play With It:
Session Start/End : Pick your trading window (say, 0930-2200) and a timezone (America/New_York, or wherever you’re at).
Block Size : Set the chunk size for RF and ASPR like 30M if you’re into half-hour vibes.
Value Area Timeframe : Go micro with something like 1S for VOLVAR and TPOVAR precision.
Label : Size it (small to huge), color it (white, neon pink, whatever), and slap it where you want (start, mid, end).
How It All Works (No PhD Required):
RF : Imagine breaking your session into blocks (via Block Size). For each block, SPA checks if the high beats the last high (+1) or not (0), and if the low dips below the last low (-1) or not (0). Add those up, and boom positive RF means upward vibes, negative means downward, near zero is “meh.” Use it to catch trends or spot when the market’s napping.
ASPR : Takes those same blocks, measures high-to-low range each time, and averages them. It’s your volatility pulse big ASPR = wild ride, small ASPR = snooze fest. Great for sizing up session action.
VOLVAR : Here’s the fun part. It takes the session’s full range (high minus low), divides it by the average range of your tiny Value Area Timeframe bars (e.g., 1S), and picks a sensible number of price levels capped at 128 so it doesn’t overthink. Then it bins volume into those levels, finds the busiest price (POC), and grows a 70% value area around it. Perfect for spotting where the big players parked their cash.
TPOVAR : Grabs midpoints from those tiny timeframe bars, sorts them, and snips off the top and bottom 15% to find the 70% “value zone” where price chilled the most. Think of it as the market’s comfort zone great for support/resistance hunting.
Why You’ll Like It:
Whether you’re scalping crypto, swinging forex, or dissecting stocks, SPA’s got your back. Use RF to catch momentum shifts like jumping on an “UP ↑” trend or fading a “DOWN ↓” exhaustion. ASPR’s your secret weapon for sizing up trades: a big ASPR (say, 100 on BTC) means you can aim for juicy targets (like 1-2x ASPR) or set invalidations tight when it’s tiny (e.g., 0.001 on TRX) to dodge chop. VOLVAR and TPOVAR are your level-finders nail those key zones where price loves to bounce or break, perfect for entries, stops, or profit grabs. It’s like having a trading co-pilot who’s chill but knows their stuff.
Heads-Up:
Load enough history for those micro timeframes to shine (1S needs some bars to work with).
Keeps things light won’t bog down your chart even with decent-sized sessions.
Let’s Roll:
Slap SPA on your chart, tweak it to your style, and watch it spill the beans on your session. Happy trading, fam may your pips be plenty and your losses few!
TICK Bias Timer with EMA Position📌 Description
This indicator tracks the time in minutes that the Exponential Moving Average (EMA) of the NYSE USI:TICK remains above or below the zero line. It serves as a powerful market breadth confirmation tool to support your intraday directional bias.
Rather than focusing on momentary TICK spikes, this tool emphasizes duration and persistence of buying/selling pressure across the entire NYSE – helping traders stay on the right side of the flow.
🔧 Features
✅ Measures how long the EMA of TICK stays above or below 0
✅ Visual plots of upward and downward pressure duration (in minutes)
✅ Background color changes based on EMA position relative to 0
✅ Automatic daily reset at a customizable time (e.g. 15:30 for RTH open)
✅ Gap filter to avoid spikes during overnight or weekend sessions
✅ Clean, minimalist design – built for real-time decision making
🎯 How to Use
EMA > 0 for 10+ minutes → sustained bullish breadth → intraday bullish bias
EMA < 0 for 10+ minutes → sustained bearish breadth → intraday bearish bias
Frequent flip between sides → uncertain or choppy market → trade with caution
Can be used in confluence with Volume Profile, VWAP, price action, and Bookmap to reinforce trade setups.
💡 Ideal For:
Scalpers looking for flow confirmation
Day traders who want to filter fake strength/weakness
Professionals using TICK, USI:ADD , USI:VOLD , and other internals for decision-making
Sentiment OscillatorIn the complex world of trading, understanding market sentiment can be like reading the emotional pulse of financial markets. Our Sentiment Oscillator is designed to be your personal market mood translator, helping you navigate through the noise of price movements and market fluctuations.
Imagine having a sophisticated tool that goes beyond traditional price charts, diving deep into the underlying dynamics of market behavior. This indicator doesn't just show you numbers – it tells you a story about market sentiment, combining multiple financial signals to give you a comprehensive view of potential market directions.
The Sentiment Oscillator acts like a sophisticated emotional barometer for stocks, cryptocurrencies, or any tradable asset. It analyzes price changes, market volatility, trading volume, and long-term trends to generate a unique sentiment score. This score ranges from highly bullish to deeply bearish, providing traders with an intuitive visual representation of market mood.
Green zones indicate positive market sentiment, suggesting potential buying opportunities. Red zones signal caution, hinting at possible downward trends. The oscillator's gray neutral zone helps you identify periods of market uncertainty, allowing for more calculated trading decisions.
What sets this indicator apart is its ability to blend multiple market factors into a single, easy-to-understand indicator. It's not just about current price – it's about understanding the deeper currents moving beneath the surface of market prices.
Traders can use this oscillator to:
- Identify potential trend reversals
- Understand market sentiment beyond price movement
- Spot periods of market strength or weakness
- Complement other technical analysis tools
Whether you're a day trader, swing trader, or long-term investor, the Sentiment Oscillator provides an additional layer of insight to support your trading strategy. Remember, no indicator is a crystal ball, but this tool can help you make more informed decisions in the dynamic world of trading.
Relative Crypto Dominance Polar Chart [LuxAlgo]The Relative Crypto Dominance Polar Chart tool allows traders to compare the relative dominance of up to ten different tickers in the form of a polar area chart, we define relative dominance as a combination between traded dollar volume and volatility, making it very easy to compare them at a glance.
🔶 USAGE
The use is quite simple, traders just have to load the indicator on the chart, and the graph showing the relative dominance will appear.
The 10 tickers loaded by default are the major cryptocurrencies by market cap, but traders can select any ticker in the settings panel.
Each area represents dominance as volatility (radius) by dollar volume (arc length); a larger area means greater dominance on that ticker.
🔹 Choosing Period
The tool supports up to five different periods
Hourly
Daily
Weekly
Monthly
Yearly
By default, the tool period is set on auto mode, which means that the tool will choose the period depending on the chart timeframe
timeframes up to 2m: Hourly
timeframes up to 15m: Daily
timeframes up to 1H: Weekly
timeframes up to 4H: Monthly
larger timeframes: Yearly
🔹 Sorting & Sizing
Traders can sort the graph areas by volatility (radius of each area) in ascending or descending order; by default, the tickers are sorted as they are in the settings panel.
The tool also allows you to adjust the width of the chart on a percentage basis, i.e., at 100% size, all the available width is used; if the graph is too wide, just decrease the graph size parameter in the settings panel.
🔹 Set your own style
The tool allows great customization from the settings panel, traders can enable/disable most of the components, and add a very nice touch with curved lines enabled for displaying the areas with a petal-like effect.
🔶 SETTINGS
Period: Select up to 5 different time periods from Hourly, Daily, Weekly, Monthly and Yearly. Enable/disable Auto mode.
Tickers: Enable/disable and select tickers and colors
🔹 Style
Graph Order: Select sort order
Graph Size: Select percentage of width used
Labels Size: Select size for ticker labels
Show Percent: Show dominance in % under each ticker
Curved Lines: Enable/disable petal-like effect for each area
Show Title: Enable/disable graph title
Show Mean: Enable/disable volatility average and select color
EMA Stacking Indicator with VWAP, MACD and ConfirmationEMA Stacking Indicator with VWAP & MACD Confirmation
This indicator combines EMA stacking, VWAP positioning, and MACD crossovers to help identify potential trend continuation and reversal points.
Features:
✅ EMA Stacking Strategy – Uses 10, 20, and 50 EMA to detect bullish and bearish trends.
✅ VWAP Confirmation – Ensures price is above VWAP for bullish signals and below for bearish signals.
✅ MACD Crossovers – Highlights bullish and bearish MACD crossovers with arrows for extra confirmation.
✅ Custom Colors & Signals – Clearly plotted moving averages and buy/sell markers to improve chart visibility.
How It Works:
A bullish trend is detected when the 10 EMA > 20 EMA > 50 EMA, and price is above VWAP.
A bearish trend is detected when the 10 EMA < 20 EMA < 50 EMA, and price is below VWAP.
MACD Bullish Crossovers (green arrows) indicate potential uptrend momentum.
MACD Bearish Crossovers (red arrows) suggest possible downtrend shifts.
This tool is perfect for traders looking to combine moving averages with volume-weighted confirmation and MACD momentum shifts for stronger trade setups.
🔹 Let me know your thoughts and feedback! 🚀
Volume Pro Indicator## Volume Pro Indicator
A powerful volume indicator that visualizes volume distribution across different price levels. This tool helps you easily identify where trading activity concentrates within the price range.
### Key Features:
- **Volume visualization by price levels**: Green (lower zone), Magenta (middle zone), Cyan (upper zone)
- **VPOC (Volume Point of Control)**: Shows the price level with the highest volume concentration
- **High and Low lines**: Highlights the extreme levels of the analyzed price range
- **Customizable historical analysis**: Configurable number of days for calculation
### How to use it:
- Colored volumes show where trading activity concentrates within the price range
- The VPOC helps identify the most significant price levels
- Different colors allow you to quickly visualize volume distribution in different price areas
Customizable with numerous options, including analysis period, calculation resolution, colors, and visibility of different components.
### Note:
This indicator works best on higher timeframes (1H, 4H, 1D) and liquid markets. It's a visual analysis tool that enhances your understanding of market structure.
#volume #vpoc #distribution #volumeprofile #trading #analysis #indicator #professional #pricelevels #volumedistribution
Cumulative Histogram TickThis script is designed to create a cumulative histogram based on tick data from a specific financial instrument. The histogram resets at the start of each trading session, which is defined by a fixed time.
Key Components:
Tick Data Retrieval:
The script fetches the closing tick values from the specified instrument using request.security("TICK.NY", timeframe.period, close). This line ensures that the script works with the tick data for each bar on the chart.
Session Start and End Detection:
Start Hour: The script checks if the current bar's time is 9:30 AM (hour == 9 and minute == 30). This is used to reset the cumulative value at the beginning of each trading session.
End Hour: It also checks if the current bar's time is 4:00 PM (hour == 16). However, this condition is used to prevent further accumulation after the session ends.
Cumulative Value Management:
Reset: When the start hour condition is met (startHour), the cumulative value (cumulative) is reset to zero. This ensures that each trading session starts with a clean slate.
Accumulation: For all bars that are not at the end hour (not endHour), the tick value is added to the cumulative total. This process continues until the end of the trading session.
Histogram Visualization:
The cumulative value is plotted as a histogram using plot.style_histogram. The color of the histogram changes based on whether the cumulative value is positive (green) or negative (red).
Usage
This script is useful for analyzing intraday market activity by visualizing the accumulation of tick data over a trading session. It helps traders identify trends or patterns within each session, which can be valuable for making informed trading decisions.
HEMA Trend Levels [AlgoAlpha]OVERVIEW
This script plots two Hull-EMA (HEMA) curves to define a color-coded dynamic trend zone and generate context-aware breakout levels, allowing traders to easily visualize prevailing momentum and identify high-probability breakout retests. The script blends smoothed price tracking with conditional box plotting, delivering both trend-following and mean-reversion signals within one system. It is designed to be simple to read visually while offering nuanced trend shifts and test confirmations.
█ CONCEPTS
The Hull-EMA (HEMA) is a hybrid moving average combining the responsiveness of short EMAs with the smoothness of longer ones. It applies layered smoothing: first by subtracting a full EMA from a half-length EMA (doubling the short EMA's weight), and then by smoothing the result again with the square root of the original length. This process reduces lag while maintaining clarity in direction changes. In this script, two HEMAs—fast and slow—are used to define the trend structure and trigger events when they cross. These crossovers generate "trend shift boxes"—temporary support or resistance zones drawn immediately after trend transitions—to detect price retests in the new direction. When price cleanly retests these levels, the script marks them as confirmations with triangle symbols, helping traders isolate better continuation setups. Color-coded bars further enhance visual interpretation: bullish bars when price is above both HEMAs, bearish when below, and neutral (gray) when indecisive.
█ FEATURES
Bullish and bearish bar coloring based on price and HEMA alignment.
Box plotting at each crossover (bullish or bearish) to create short-term decision zones.
Real-time test detection: price must cleanly test and bounce from box levels to be considered valid.
Multiple alert conditions: crossover alerts, test alerts, and trend continuation alerts.
█ USAGE
Use this indicator on any time frame and asset. Adjust HEMA lengths to match your trading style—shorter lengths for scalping or intraday, longer for swing trading. The shaded area between HEMAs helps visually define the current trend. Watch for crossovers: a bullish crossover plots a green support box just below price, and a bearish one plots a red resistance box just above. These zones act as short-term decision points. When price returns to test a box and confirms with strong rejection (e.g., closes above for bullish or below for bearish), a triangle symbol is plotted. These tests can signal strong trend continuation. For traders looking for clean entries, combining the crossover with a successful retest improves reliability. Alerts can be enabled for all key signals: trend shift, test confirmations, and continuation conditions, making it suitable for automated setups or discretionary traders tracking multiple charts.
Coinbase Premium IndexThe Coinbase Premium Index is a measure of the percentage difference between the price of any coin on Coinbase Pro (USD pair) and the price on Binance (USDT trading pair). It helps differentiate between global and US-specific market sentiment
Major benefits:
Choose between USD or USDC for the Coinbase pair — they can behave differently in rare but actionable situations.
Apply it to any coin, not just BTC. Open any USDT-based chart on any exchange, and the script will automatically compare it with Coinbase’s USD or USDC price.
Highlight only active U.S. trading hours, cutting out irrelevant noise.
Display key thresholds that signal buying or selling pressure.
Multi EMA Cloud (13, 48, 200 EMAs)WORKS BEST ON THE 2 MIN
you’ll see the bullish and bearish areas filled based on the interaction between the 13 EMA and the 48 EMA,
The color changes help traders quickly identify trend shifts and potential trade opportunities.
This indicator is great for trend-following traders who want a visual representation of momentum shifts for better entry and exit decisions
leave anything in the comments for suggestions or new indicators to make.
Multi EMA Cloud (Bullish & Bearish)How It Works
1. EMAs Used:
8 EMA (Short-term) → Reacts quickly to price changes
20 EMA (Medium-term) → Provides a smoother trend
50 EMA (Longer-term) → Indicates overall trend direction
200 EMA (Major trend) → Acts as a key long-term support/resistance level
2. Cloud Fills for Trend Strength
Bullish Clouds (Uptrend Confirmation)
Blue Fill: When the 8 EMA is above the 20 EMA → Strong short-term trend
Green Fill: When the 20 EMA is above the 50 EMA → Confirms bullish momentum
Bearish Clouds (Downtrend Confirmation)
Red Fill: When the 8 EMA is below the 20 EMA → Short-term bearish signal
Orange Fill: When the 20 EMA is below the 50 EMA → Confirms downtrend
3. Trading Insights
When the 8 EMA and 20 EMA are stacked above the 50 EMA and 200 EMA, it signals a strong uptrend.
When the 8 EMA and 20 EMA fall below the 50 EMA and 200 EMA, it signals a strong downtrend.
The color changes help traders quickly identify trend shifts and potential trade opportunities.
This indicator is great for trend-following traders who want a visual representation of momentum shifts for better entry and exit decisions
10,20 EMA with Buy/Sell SignalsExplanation:(Create by Samaresh Panda)
The script calculates the 10-period and 20-period EMAs using the ta.ema function.
A buy signal is generated when the 10 EMA crosses above the 20 EMA (ta.crossover).
A sell signal is generated when the 10 EMA crosses below the 20 EMA (ta.crossunder).
The signals are plotted as shapes on the chart:
Green up-arrow for buy signals.
Red down-arrow for sell signals.
Crypto Breakout Screener (1H)The Crypto Breakout Screener (1H) identifies coins showing early signs of bullish momentum after testing bottom support levels. It combines gap percentage, volume surge, RSI range, and MACD crossover to highlight potential breakout setups. Designed for the 1-hour timeframe, this tool helps traders catch moves before they fully develop.
ATH Pullback Levels with AlertsThe following identifies the following levels:
1. Correction - 10% Pullback from ATH
2. Midpoint - 15% Pullback from ATH
3. Bear Market - 20% Pullback from ATH
Rotational Factor CalculationThe Rotational Factor is a simple, objective means for evaluating day timeframe attempted direction based on the market's half hour auction rotations. At any point in time during the day, the running tally can help keep general awareness for whether buyers or sellers are in control, and if a transition is taking place. It is also helpful to use as one of a handful of variables that categorize the session's Directional Performance to assist in possible direction for the next session. This method is from Dalton's Mind Over Market's book and in part helps answer the question, which way is the market trying to go? This can then be applied to the second question, is the market doing a good job in it's attempted direction? Staying aware of these two questions keeps current sentiment and expectations in check.
Calculation method
Each 30min RTH candle gets a score:
if the high is higher than the previous candle's high: +1
if the high is lower than the previous candle's high: -1
if the low is higher than the previous candle's low: +1
if the low is lower than the previous candle's low: -1
if the high (or low) of a candle is equal to the high (or low) of the previous candle: 0
The running tally intraday text is displayed in blue. Once the session closes the text is displayed in orange and remains listed over the final candle of the day for 30 days. The RTH candles are calculated until the end of the RTH session (3pm EST) even though the session's full tally is displayed over the final candle at 3:30pm EST.
Seasonality Monthly v2.0//@version=5
indicator("Seasonality Monthly v2.0", "Seasonality Monthly v2.0", format = format.volume)
if not timeframe.ismonthly and not timeframe.isdaily
runtime.error("Please switch timeframe to either Daily or Monthly")
i_year_start = input(2000, "Start Year")
// i_method = input.string("time", "Method", options= )
i_method = "time_close"
i_text_size = input.string(size.auto, "Text Size", )
//--------------------------------------------------------Functions----------------------------------------------------
f_array_stats(array_) =>
count_pos_ = 0
count_neg_= 0
count_ = 0
sum_ = 0.0
if not na(array_) and array.size(array_) > 0
for i_ = 0 to array.size(array_) - 1
elem_ = array.get(array_, i_)
if not na(elem_)
sum_ += elem_
count_ += 1
switch
elem_ > 0 => count_pos_ += 1
elem_ < 0 => count_neg_ += 1
avg_ = count_ > 0 ? sum_ / count_ : 0.0
//-------------------------------------------------------------------------------------------------------------------
= request.security(syminfo.tickerid, "M", [year(time_close), month(time_close), nz(close/close -1)], gaps = barmerge.gaps_on, lookahead = barmerge.lookahead_on )
// month_ = switch i_method
// "time" => month(time)
// "time_close" => month(time_close)
// year_ = switch i_method
// "time" => year(time)
// "time_close" => year(time_close)
var year_start_ = math.max(year_, i_year_start)
var no_years_ = year(timenow) - year_start_ + 1
var matrix data_ = matrix.new(no_years_,13,na)
var table table_ = na
var text_color_ = color.white
var bg_color_ = color.gray
// chg_pct_ = nz(close/close -1)
if year_ >= year_start_
// log.info(str.format("Time {0} Year {1} Month {2} ChgPct {3,number,#.##%}", str.format_time(time_close), year_, month_, chg_pct_))
cur_val_ = nz(matrix.get(data_, year_-year_start_, month_-1))
matrix.set(data_, year_-year_start_, month_-1, cur_val_ + chg_pct_)
// if barstate.islast
// log.info("ROWS {0}", no_years_ + 7 )
if barstate.islast
table_ := table.new(position.middle_center, 13, no_years_ + 7, border_width = 1)
// log.info("ROWS {0}", year_ - year_start_ + 7 )
table.cell(table_, 0, 0, str.format("Seasonality Monthly Performance - {0}:{1}", syminfo.prefix, syminfo.ticker), text_color = text_color_, bgcolor = color.blue, text_size = i_text_size)
table.merge_cells(table_, 0,0,12,0)
row = 1
table.cell(table_, 0, row, "Year", text_color = text_color_, bgcolor = bg_color_, text_size = i_text_size)
table.cell(table_, 1, row, "Jan", text_color = text_color_, bgcolor = bg_color_, text_size = i_text_size)
table.cell(table_, 2, row, "Feb", text_color = text_color_, bgcolor = bg_color_, text_size = i_text_size)
table.cell(table_, 3, row, "Mar", text_color = text_color_, bgcolor = bg_color_, text_size = i_text_size)
table.cell(table_, 4, row, "Apr", text_color = text_color_, bgcolor = bg_color_, text_size = i_text_size)
table.cell(table_, 5, row, "May", text_color = text_color_, bgcolor = bg_color_, text_size = i_text_size)
table.cell(table_, 6, row, "Jun", text_color = text_color_, bgcolor = bg_color_, text_size = i_text_size)
table.cell(table_, 7, row, "Jul", text_color = text_color_, bgcolor = bg_color_, text_size = i_text_size)
table.cell(table_, 8, row, "Aug", text_color = text_color_, bgcolor = bg_color_, text_size = i_text_size)
table.cell(table_, 9, row, "Sep", text_color = text_color_, bgcolor = bg_color_, text_size = i_text_size)
table.cell(table_, 10, row, "Oct", text_color = text_color_, bgcolor = bg_color_, text_size = i_text_size)
table.cell(table_, 11, row, "Nov", text_color = text_color_, bgcolor = bg_color_, text_size = i_text_size)
table.cell(table_, 12, row, "Dec", text_color = text_color_, bgcolor = bg_color_, text_size = i_text_size)
for row_ = 0 to no_years_ - 1
table.cell(table_, 0, 2+row_, str.tostring(row_ + year_start_), text_color = text_color_, bgcolor = bg_color_, text_size = i_text_size)
for col_ = 0 to 11
val_ = nz(matrix.get(data_, row_, col_),0.0)
val_color_ = val_ > 0.0 ? color.green : val_ < 0.0 ? color.red : color.gray
table.cell(table_, 1+col_, 2+row_, str.format("{0,number,###.##%}", val_), bgcolor = color.new(val_color_,80), text_color = val_color_, text_size = i_text_size)
true
//Aggregates
row_ = no_years_ + 2
table.cell(table_, 0, row_, "AVG", text_color = text_color_, bgcolor = bg_color_, text_size = i_text_size)
table.cell(table_, 0, row_+1, "SUM", text_color = text_color_, bgcolor = bg_color_, text_size = i_text_size)
table.cell(table_, 0, row_+2, "+ive", text_color = text_color_, bgcolor = bg_color_, text_size = i_text_size)
table.cell(table_, 0, row_+3, "WR", text_color = text_color_, bgcolor = bg_color_, text_size = i_text_size)
for col_ = 0 to 11
arr_ = matrix.col(data_, col_)
// val_ = array.sum(arr_)
= f_array_stats(arr_)
val_color_ = sum_ > 0 ? color.green : sum_ < 0 ? color.red : color.gray
table.cell(table_, 1+col_, row_, str.format("{0,number,###.##%}", avg_), bgcolor = color.new(val_color_,50), text_color = val_color_, text_size = i_text_size)
table.cell(table_, 1+col_, row_+1, str.format("{0,number,###.##%}", sum_), bgcolor = color.new(val_color_,50), text_color = val_color_, text_size = i_text_size)
table.cell(table_, 1+col_, row_+2, str.format("{0}/{1}", count_pos_, count_), bgcolor = color.new(val_color_,50), text_color = color.new(color.white, 50), text_size = i_text_size)
table.cell(table_, 1+col_, row_+3, str.format("{0,number,#.##%}", count_pos_/count_), bgcolor = color.new(val_color_,50), text_color = color.new(color.white, 50), text_size = i_text_size)
true
Supertrend & SMA 200 Strategy1. Indicators Used:
Supertrend (10,3): Identifies the trend direction.
SMA 200: Acts as a long-term trend filter.
2. Trend Identification:
Uptrend: Price is above the 200 SMA, and Supertrend is bullish.
Downtrend: Price is below the 200 SMA, and Supertrend is bearish.
Sideways Market: When neither condition is met.
