KriptoSKriptoS Indicator
KriptoS is a comprehensive indicator designed for cryptocurrency traders seeking robust technical analysis tools. Optimized for 1H, 4H, and 1D timeframes, this indicator combines trend-following, support/resistance analysis, volume analysis, and market dominance data to provide powerful buy/sell signals.
Key Features
Multi-Timeframe Support
The indicator operates on 1-hour (1H), 4-hour (4H), and daily (1D) timeframes. Parameters (Supertrend, RSI, Hull MA, ZigZag) are automatically adjusted for each timeframe.
Supertrend and RSI Integration
Supertrend: Identifies trend direction and generates buy/sell signals.
RSI: Detects overbought (>80) and oversold (<20) conditions, producing top/bottom reversal signals.
Hull Moving Average (Hull MA)
The price-sensitive Hull MA quickly captures trend reversals and provides crossover signals for trading opportunities.
ZigZag-Based Support/Resistance Analysis
Automatically identifies support and resistance levels.
Alerts are triggered when the price approaches (within 1%) or breaks these levels.
Support reaction and resistance rejection signals help analyze price movements.
Volume and Institutional Activity Analysis
Volume strength is categorized (Weak, Moderate, Strong, Very Strong).
Institutional buy/sell signals are detected based on high volume (>300%) and price changes (>2%).
Market Dominance Data
Tracks real-time BTC Dominance (BTCDOM), USDT Dominance (USDTDOM), and total market capitalization (TOTAL, TOTAL2, TOTAL3).
Alerts are generated for dominance changes exceeding 0.5%.
Rapid Market Movements and Pump/Dump Detection
Alerts for price increases (>5%) or decreases (<-5%) within an hour (RapidRise/RapidFall).
Detects pump/dump movements backed by >200% volume surges.
Volatility and ADX Analysis
ATR-based volatility alerts (>3%) highlight high-volatility periods.
ADX measures trend strength for better decision-making.
Visuals and Data Table
Support and resistance levels are displayed as boxes on the chart.
Institutional buy/sell signals are marked with labels.
A table in the top-right corner shows BTC Dominance, USDT Dominance, and total market cap data.
Use Cases
Trend Following: Use Supertrend and Hull MA to identify trend direction.
Support/Resistance Trading: Capture entry/exit points at ZigZag-based levels.
Market Analysis: Monitor dominance and market cap data for broader market trends.
Risk Management: Use volatility and ADX to identify risky market conditions.
Quick Opportunities: Capitalize on pump/dump and institutional signals for rapid price movements.
Setup and Usage
Add the indicator to your TradingView chart.
Select the timeframe (1H, 4H, 1D); parameters adjust automatically.
Observe support/resistance boxes, institutional signal labels, and the market data table on the chart.
Configure alerts (e.g., Long/Short Entry, Support Break, Pump/Dump) for real-time notifications.
Notes
The indicator uses TradingView’s request.security function to fetch external data (BTCDOM, USDTDOM, TOTAL, etc.). Alerts are triggered if data is unavailable.
Alerts are formatted in JSON, making them suitable for bot integrations.
Historical data is supported with max_bars_back=5000 for long-term analysis.
Disclaimer
This indicator is not financial advice. Conduct your own analysis and apply risk management before trading. Cryptocurrency markets are highly volatile; exercise caution.
Trend Analizi
MACD Pullback mit Trendfilter + RSI + ADX + SR + Candle-FilterTitle:
MACD Pullback with Trend Filter, RSI, ADX, Candle Strength & Support/Resistance
Description:
This indicator identifies high-probability pullback entries within strong trends by combining momentum, trend, and price structure filters.
✔️ EMA 200 Trend Filter – confirms overall market direction
✔️ MACD Crossover – identifies pullback reversals
✔️ RSI Filter – avoids entries in overbought/oversold conditions
✔️ ADX Strength Filter – ensures entry only during strong trends
✔️ Candle Strength Filter – confirms with strong-bodied candles
✔️ Dynamic Support & Resistance Zones – based on recent price extremes
✔️ Visual Buy/Sell Signals – arrow plots and background shading
✔️ Alerts – for both long and short entry signals
💡 Best Used For:
Intraday setups (1M to 15M charts)
Trend-following strategies with pullback entries
Filtering low-quality or weak signal candles
⚠️ Note:
This script does not auto-execute trades. Always confirm with your own strategy and risk management.
Signals designed to ride the real Nifty moveIt is a high-conviction positional signal designed to capture medium- to long-term trends in the Nifty index. Built for swing and positional traders, this signal cuts through market noise and highlights clean trend-following opportunities.
Algoguy Toolkit [CuriousB]modified QuantVue GMMA Toolkit to change the moving average bands for Algoguy specs for Scott's Zone Traders Algoguy
bands are:
short term: 7-14 ema in 1 step increments
long term: 30-60 ema in 2 step increments
the oscillator shows:
trend strength in the distance away from the 0 line
compression or short term, long term and both indicating market consolidation possibly affecting reversal or continuation
band cross over
buy and sell signals
alzaem RSPSThis script compares 30 different tokens and find the best performing asset from the 30. The indicator tracks the changes by plotting the equity and changes in the equity.
The script is totally costumizable, feel free to change any thing.
The current configurations are the ones that suit my own approach feel free to find you suitable configuration.
Summary of how the script works:
The provided script is a sophisticated trading indicator written in Pine Script (version 6) for the TradingView platform, named "alzaem RSPS" (Relative Strength Portfolio System). It is designed to analyze and rank multiple assets (up to 30 cryptocurrencies) based on various performance metrics, generate trading signals, and manage a portfolio with an equity curve. Below is a summary of what the script does:
Key Functionalities:
Asset Selection and Scoring:
The script allows users to input up to 30 cryptocurrency symbols (e.g., XRPUSDT, BNBUSDT) and a benchmark (e.g., BTCUSDT).
Assets are scored using a combination of performance metrics, including:
Momentum: Relative strength compared to other assets over a specified period.
Sharpe, Sortino, and Omega Ratios: Risk-adjusted return metrics.
Other Metrics: Percentage gain, Conditional Value at Risk (CVaR), Ulcer Index, Treynor Ratio, Up-Down Capture, and Information Ratio (configurable via inputs).
Scores are calculated by comparing each asset’s metrics against the median and applying a momentum-based ranking system (f_condition function).
Assets must meet a minimum score threshold to be considered for ranking.
Ranking and Winner Selection:
Assets are ranked based on their total scores (initial scores + momentum scores).
The top-ranked assets are stored in the final_winners array, with options to display specific ranks (e.g., Rank 1, Rank 2, or combinations like Rank 1 & 2).
Users can select specific assets to monitor their scores in a table.
Technical Analysis and Signal Generation:
The script uses a combination of technical indicators to generate Long and Short signals:
Double Exponential Moving Average (DEMA): Smooths price data.
Gaussian Filter: Applied to DEMA for noise reduction.
Running Moving Average (RMA): Further smooths the filtered DEMA.
Average True Range (ATR): Creates dynamic bands around the RMA to define Long (LongR) and Short (ShortR) thresholds.
Signals:
Long Signal: When the closing price is above the upper ATR band (LongR).
Short Signal: When the closing price is below the lower ATR band (ShortR).
Signals are plotted as labels on the chart (e.g., "Long" or "Short") if enabled.
Market Trend Analysis:
Analyzes the broader market trend using a market index (e.g., CRYPTOCAP:TOTAL).
Uses multiple indicators to determine market conditions:
Moving Average: Compares market close to a chosen moving average (e.g., LSMA, EMA).
Range Calculations: Uses highest price levels with multipliers to set thresholds.
RSI-based Valuation: Determines if the market is trending or mean-reverting.
Augmented Dickey-Fuller (ADF) Test: Optionally confirms trend or mean-reverting behavior.
Combines these factors to decide if the system should be "in position" (active trading) or not.
Portfolio Management and Equity Curve:
Tracks the portfolio’s equity starting from a user-defined date.
Updates equity based on the performance of selected top-ranked assets (e.g., Rank 1, Rank 1 & 2).
Applies leverage (fixed at 1 in the script) to calculate returns.
Compares the system’s performance to a Buy-and-Hold BTC strategy (equityNot).
Calculates performance metrics like Net Profit, Sharpe Ratio, Sortino Ratio, Omega Ratio, and Maximum Drawdown for both the system and BTC Buy-and-Hold.
Visualization and Output:
Table Display:
Shows system performance metrics (Sharpe, Sortino, Omega, Max Drawdown, Net Profit).
Displays Buy-and-Hold BTC metrics for comparison.
Lists top 5 assets with their scores and user-selected assets’ scores.
Indicates system state (ON/OFF) based on inPosition status.
Shows winner symbols (top-ranked assets).
Chart Elements:
Plots RMA, ATR bands, and candlesticks with customizable color schemes.
Displays equity curves for the system and BTC Buy-and-Hold.
Adds labels for Long/Short signals and equity curve annotations.
Alerts: Triggers alerts for the top-winning coin on each bar close.
Customization:
Extensive input options for:
Timeframes (analysis, short-term, long-term).
Periods for various indicators (DEMA, Gaussian, RMA, ATR, etc.).
Scoring metrics to include/exclude (e.g., use Sharpe, use Momentum).
Visual settings (color modes, label display).
Market trend conditions (e.g., use ADF, valuation thresholds).
Allows users to force display of winners or disable in-position rules.
Workflow Summary:
Data Retrieval: Fetches price and performance data for 30 assets and a market index.
Signal Generation: Uses DEMA, Gaussian filter, RMA, and ATR to generate Long/Short signals.
Asset Scoring: Calculates scores based on user-selected metrics and momentum.
Ranking: Ranks assets and selects top performers.
Market Trend Check: Determines if the system should be active based on market conditions.
Portfolio Update: Adjusts equity based on top-ranked assets’ performance.
Visualization: Displays results in a table, plots indicators, and shows equity curves.
Alerts: Notifies users of the top-winning asset.
Purpose:
The script is designed for traders who want to systematically select and trade cryptocurrencies based on relative strength and risk-adjusted performance metrics. It combines technical analysis, portfolio management, and market trend analysis to create a robust trading system, with a focus on outperforming a simple Buy-and-Hold BTC strategy.
Notes:
Users need to configure inputs carefully to align with their trading strategy and risk tolerance.
The script is complex and resource-intensive due to the large number of assets and calculations.
apply the script to the" TOTAL" chart only on 1D time frame.
If any help is needed contact me in direct messages or on my instagram account: @az.3ym
UltraAlgoguy Toolkit [CuriousB]modified QuantVue GMMA Toolkit to change the moving average bands for UltraGuppy specs for Scott's Zone Traders Algoguy++ (courtesy Anthony Algoguy's updated specs)
bands are:
short term: 10-120 ema in 2 step increments
long term: 150-300 ema in 2 step increments
the oscillator shows:
trend strength in the distance away from the 0 line
compression or short term, long term and both indicating market consolidation possibly affecting reversal or continuation
band cross over
buy and sell signals
MTS📊 MTS (Murrey Math System) Trading Strategy for TradingView 📊
Introduction:
This script implements the Murrey Math System (MTS), a market analysis tool based on a set of pivot points and price ranges, designed to help traders identify key levels of support and resistance.
MTS calculates key price levels based on historical price swings and helps identify price targets, stop-loss levels, and potential breakout zones.
The strategy also includes an adaptive bias panel, showing buy or sell suggestions based on current price action relative to Murrey Math levels.
Key Components:
1. Pivot Calculation and Conditions:
Pivot Lookback & Spikeyness Index:
The pivots: lookback/forward input defines how far back (and forward) the script looks to identify potential pivot points (high and low). A smaller value focuses on more recent swings, while larger values consider a broader range.
The Spikeyness Index (atrMult) allows you to adjust sensitivity to market spikes, utilizing the Average True Range (ATR) to detect sharp price movements that could indicate potential turning points.
Pivot Conditions:
isPivHigh and isPivLow detect local high and low pivot points, respectively.
Spiky Conditions: The spikyH and spikyL conditions filter out pivots that do not meet the spikiness criteria, which is based on ATR and moving averages.
2. Swing High and Swing Low Identification:
The script identifies and stores previous swing highs (HR_prev) and lows (LR_prev), updating them based on the current market structure.
3. Proprietary Calculation:
The propCalc input enables a proprietary calculation method for determining higher or lower levels beyond the typical Murrey Math levels, offering a more adaptive approach to price targets and support/resistance levels.
4. Murrey Math Lines (MML):
MML Calculation:
The code calculates a set of Murrey Math Lines (EightEight, FourEight, ZeroEight), which are key price levels based on the range of the price over a given time period. These levels represent major support and resistance zones, with the EightEight line indicating extremely overbought conditions and ZeroEight signaling deeply oversold conditions.
Level and Extension Lines:
The script also plots additional levels and extensions based on the range between HR and LR, representing key support/resistance levels. These levels are dynamically drawn on the chart, offering clear insights into where price might reverse or break out.
Strategy Logic:
- Breakout and Breakdown:
The Bias Box panel dynamically displays a trade bias, either suggesting to "Buy on Dip" or "Sell on Rise," depending on whether the current price is above or below the midpoint of the Murrey Math range (BEP). This bias is calculated using the market's relationship to the Murrey Math Levels.
- Buy on Dip: When the price is below the midpoint (BEP), suggesting the market is in a buying zone.
- Sell on Rise: When the price is above the midpoint, suggesting the market is in a selling zone.
- Stop-Loss and Target Hints:
The stop-loss (SL) and target levels are dynamically set based on the position relative to HR and LR:
For Buy on Dip: SL is set at LR Low, Target is set at HR High.
For sell on Rise: SL is set at HR Low, Target is set at LR High.
2. Historical and Current Levels:
The script compares the most recent Murrey Math levels with historical levels. This helps identify any shifts or changes in the market structure, enhancing the trader's ability to adapt to new trends.
- Current Levels:
The current levels are drawn from the most recent HR and LR values, with corresponding extensions showing possible breakout or breakdown zones.
- Historical Levels:
Historical levels are drawn in a "ghost" style, helping traders visualize past market conditions and potential support/resistance zones that could still influence price movement.
- Trade Examples:
Example 1: Buy on Dip
a. Scenario:
Price is below the midpoint (BEP), and the bias suggests a buy on dip.
The trader looks for a rebound from the LR Low level, with a target at the HR High.
b. Entry:
Buy when the price reaches the LR Low level.
c. Exit:
Take profit when the price hits the HR High.
d. Stop-Loss:
Place stop-loss at the LR Low.
Example 2: Sell on Rise
a. Scenario:
Price is above the midpoint (BEP), and the bias suggests a sell on rise.
The trader looks for a pullback to the HR Low, with a target at the LR High.
b. Entry:
Sell when the price reaches the HR High level.
c. Exit:
Take profit when the price hits the LR Low.
d. Stop-Loss:
Place stop-loss at the HR Low.
Key Features:
Bias Panel: A table in the top-right corner showing the current market bias (Buy on Dip, Sell on Rise, or Neutral).
Displays real-time trade direction and risk information, such as stop-loss and target hints.
Dynamic Level Adjustment: As the price moves, the script dynamically updates the key levels (HR, LR, and Murrey Math lines), keeping traders aware of the most recent market structure.
Visualization Tools:
The chart is populated with a series of lines and labels that indicate the critical price levels for trading.
Support/Resistance Lines: Each key level is marked with different colors for quick recognition.
Extensions: Additional lines are plotted based on price projections, indicating where the market could potentially move.
Note:
Please note that this is an educational purpose idea, any action/trade taken will be user's own responsibility.
Enjoy!
Regards.
Liquidity [Shahzeb Trades]The Liquidity indicator is designed to identify key liquidity zones in the market with precision. This tool helps traders detect where institutional orders are likely placed, showing potential areas for price sweeps and reversals. Whether you're trading Forex, Crypto, or Binary Options, this indicator highlights buy-side and sell-side liquidity with high accuracy—enabling smarter entries and exits.
Perfect for smart money concept (SMC) and order block traders, this indicator works best when combined with market structure analysis and price action confirmations.
Features:
✅ Highlights liquidity pools (Buy-side/Sell-side)
✅ Confirms directional bias through liquidity sweep signals
✅ Suitable for all timeframes
✅ Ideal for SMC, ICT, and OB strategy traders
✅ Tested and used by Shahzeb Trades
BTC Breakout Alert📈 BTC Breakout & Fakeout Detector with Volume, RSI & MACD Filters
This script helps identify high-confidence breakout setups by combining price action, volume spikes, and optional momentum filters (RSI & MACD). It’s designed to alert you when Bitcoin (or any asset) breaks above a defined resistance level with strong conviction — and warns you if that move turns out to be a fakeout.
🔍 Features:
✅ Confirmed Breakout Alerts: Triggers when price closes above your set resistance level with volume ≥ 1.5× the 20-period average.
⚠️ Fakeout Detection: Highlights when price closes back below resistance within a few candles after breakout.
📊 Momentum Filters:
RSI > 50 for bullish confirmation
MACD line > signal line to support breakout momentum
🔔 Custom Alerts: Built-in alert conditions for both breakout and fakeout events.
🔼🔽 Visual Markers: Arrows plotted directly on the chart for clear entry and caution zones.
🕒 Works on all timeframes and any asset that includes volume data.
Ideal for breakout traders who want more than just a price spike — this tool ensures volume and momentum alignment, helping you reduce false signals and react with more confidence.
DECODE Multi SMA EMANo need to keep reconfiguring your moving averages. Set up to 10 moving averages, 5 x SMA and 5 x EMA, and optionally apply coloured shading between pairs. Once it's set up, just turn them on or off as needed!
Multiple (12) Strong Buy/Sell Signals + Momentum
Indicator Manual: "Multiple (12) Strong Buy/Sell Signals + Momentum"
This indicator is designed to identify strong buy and sell signals based on 12 configurable conditions, which include a variety of technical analysis methods such as trend-following indicators, pattern recognition, volume analysis, and momentum oscillators. It allows for customizable alerts and visual cues on the chart. The indicator helps traders spot potential entry and exit points by displaying buy and sell signals based on the selected conditions.
Key Observations:
• The script integrates multiple indicators and pattern recognition methods to provide comprehensive buy/sell signals.
• Trend-based indicators like EMAs and MACD are combined with pattern recognition (flags, triangles) and momentum-based signals (RSI, ADX, and volume analysis).
• User customization is a core feature, allowing adjustments to the conditions and thresholds for more tailored signals.
• The script is designed to be responsive to market conditions, with multiple conditions filtering out noise to generate reliable signals.
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Key Features:
1. 12 Combined Buy/Sell Signal Conditions: This indicator incorporates a diverse set of conditions based on trend analysis, momentum, and price patterns.
2. Minimum Conditions Input: You can adjust the threshold of conditions that need to be met for the buy/sell signals to appear.
3. Alert Customization: Set alert thresholds for both buy and sell signals.
4. Dynamic Visualization: Buy and sell signals are shown as triangles on the chart, with momentum signals highlighted as circles.
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Detailed Description of the 12 Conditions:
1. Exponential Moving Averages (EMA):
o Conditions: The indicator uses EMAs with periods 3, 8, and 13 for quick trend-following signals.
o Bullish Signal: EMA3 > EMA8 > EMA13 (Bullish stack).
o Bearish Signal: EMA3 < EMA8 < EMA13 (Bearish stack).
o Reversal Signal: The crossing over or under of these EMAs can signify trend reversals.
2. MACD (Moving Average Convergence Divergence):
o Fast MACD (2, 7, 3) is used to confirm trends quickly.
o Bullish Signal: When the MACD line crosses above the signal line.
o Bearish Signal: When the MACD line crosses below the signal line.
3. Donchian Channel:
o Tracks the highest high and lowest low over a given period (default 20).
o Breakout Signal: Price breaking above the upper band is bullish; breaking below the lower band is bearish.
4. VWAP (Volume-Weighted Average Price):
o Above VWAP: Bullish condition (price above VWAP).
o Below VWAP: Bearish condition (price below VWAP).
5. EMA Stacking & Reversal:
o Tracks the order of EMAs (3, 8, 13) to confirm strong trends and reversals.
o Bullish Reversal: EMA3 < EMA8 < EMA13 followed by a crossing to bullish.
o Bearish Reversal: EMA3 > EMA8 > EMA13 followed by a crossing to bearish.
6. Bull/Bear Flags:
o Bull Flag: Characterized by a strong price movement (flagpole) followed by a pullback and breakout.
o Bear Flag: Similar to Bull Flag but in the opposite direction.
7. Triangle Patterns (Ascending and Descending):
o Detects ascending and descending triangles using pivot highs and lows.
o Ascending Triangle: Higher lows and flat resistance.
o Descending Triangle: Lower highs and flat support.
8. Volume Sensitivity:
o Identifies price moves with significant volume increases.
o High Volume: When current volume is significantly above the moving average volume (set to 1.2x of the average).
9. Momentum Indicators:
o RSI (Relative Strength Index): Confirms overbought and oversold levels with thresholds set at 65 (overbought) and 35 (oversold).
o ADX (Average Directional Index): Confirms strong trends when ADX > 28.
o Momentum Up: Momentum is upward with strong volume and bullish RSI/ADX conditions.
o Momentum Down: Momentum is downward with strong volume and bearish RSI/ADX conditions.
10. Bollinger & Keltner Squeeze:
o Squeeze Condition: A contraction in both Bollinger Bands and Keltner Channels indicates low volatility, signaling a potential breakout.
o Squeeze Breakout: Price breaking above or below the squeeze bands.
11. 3 Consecutive Candles Condition:
o Bullish: Price rises for three consecutive candles with higher highs and lows.
o Bearish: Price falls for three consecutive candles with lower highs and lows.
12. Williams %R and Stochastic RSI:
o Williams %R: A momentum oscillator with signals when the line crosses certain levels.
o Stochastic RSI: Provides overbought/oversold levels with smoother signals.
o Combined Signals: You can choose whether to require both WPR and StochRSI to signal a buy/sell.
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User Inputs (Inputs Tab):
1. Minimum Conditions for Buy/Sell:
o min_conditions: Number of conditions required to trigger a buy/sell signal on the chart (1 to 12).
o Alert_min_conditions: User-defined alert threshold (how many conditions must be met before an alert is triggered).
2. Donchian Channel Settings:
o Show Donchian: Toggle visibility of the Donchian channel.
o Donchian Length: The length of the Donchian Channel (default 20).
3. Bull/Bear Flag Settings:
o Bull Flag Flagpole Strength: ATR multiplier to define the strength of the flagpole.
o Bull Flag Pullback Length: Length of pullback for the bull flag pattern.
o Bull Flag EMA Length: EMA length used to confirm trend during bull flag pattern.
Similar settings exist for Bear Flag patterns.
4. Momentum Indicators:
o RSI Length: Period for calculating the RSI (default 9).
o RSI Overbought: Overbought threshold for the RSI (default 65).
o RSI Oversold: Oversold threshold for the RSI (default 35).
5. Bollinger/Keltner Squeeze Settings:
o Squeeze Width Threshold: The maximum width of the Bollinger and Keltner Bands for squeeze conditions.
6. Stochastic RSI Settings:
o Stochastic RSI Length: The period for calculating the Stochastic RSI.
7. WPR Settings:
o WPR Length: Period for calculating Williams %R (default 14).
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User Inputs (Style Tab):
1. Signal Plotting:
o Control the display and colors of the buy/sell signals, momentum indicators, and pattern signals on the chart.
o Buy/Sell Signals: Can be customized with different colors and shapes (triangle up for buys, triangle down for sells).
o Momentum Signals: Custom circle placement for momentum-up or momentum-down signals.
2. Donchian Channel:
o Show Donchian: Toggle visibility of the Donchian upper, lower, and middle bands.
o Band Colors: Choose the color for each band (upper, lower, middle).
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How to Use the Indicator:
1. Adjust Minimum Conditions: Set the minimum number of conditions that must be met for a signal to appear. For example, set it to 5 if you want only stronger signals.
2. Set Alert Threshold: Define the number of conditions needed to trigger an alert. This can be different from the minimum conditions for visual signals.
3. Customize Appearance: Modify the colors and styles of the signals to match your preferences.
________________________________________
Conclusion:
This comprehensive trading indicator uses a combination of trend-following, pattern recognition, and momentum-based conditions to help you spot potential buy and sell opportunities. By adjusting the input settings, you can fine-tune it to match your specific trading strategy, making it a versatile tool for different market conditions.
Signal Reliability Based on Condition Count
The reliability of the buy/sell signals increases as more conditions are met. Here's a breakdown of the probabilities:
1. 1-3 Conditions Met: Lower Probability
o Signals that meet only 1-3 conditions tend to have lower reliability and are considered less probable. These signals may represent false positives or weaker market movements, and traders should approach them with caution.
2. 4 Conditions Met: More Reliable Signal
o When 4 conditions are met, the signal becomes more reliable. This indicates that multiple indicators or market patterns are aligning, increasing the likelihood of a valid buy/sell opportunity. While not foolproof, it's a stronger indication that the market may be moving in a particular direction.
3. 5-6 Conditions Met: Strong Signal
o A signal meeting 5-6 conditions is considered a strong signal. This indicates a well-confirmed move, with several technical indicators and market factors aligning to suggest a higher probability of success. These are the signals that traders often prioritize.
4. 7+ Conditions Met: Rare and High-Confidence Signal
o Signals that meet 7 or more conditions are rare and should be considered high-confidence signals. These represent a significant alignment of multiple factors, and while they are less frequent, they are highly reliable when they do occur. Traders can be more confident in acting on these signals, but they should still monitor market conditions for confirmation.
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You can adjust the number of conditions as needed, but this breakdown should give a clear structure on how the signal strength correlates with the number of conditions met!
Z-Score Trend Monitor [EdgeTerminal]The Z-Score Trend Monitor measures how far the short-term moving average deviates from the long-term moving average using the spread difference of the two — in standardized units. It’s designed to detect overextension, momentum exhaustion, and potential mean-reversion points by converting the spread between two moving averages into a normalized Z-score and tracking its change and direction over time.
The idea behind this is to catch the changes in the direction of a trend earlier than the usual and lagging moving average lines, allowing you to react faster.
The math behind the indicator itself is very simple. We take the simple moving average of the spread between a long term and short term moving average, and divide it by the difference between the spread and spread mean.
This results in a relatively accurate and early acting trend detector that can easily identify overbought and oversold levels in any timeframe. From our own testing, we recommend using this indicator as a trend confirmation tool.
How to Use It:
Keep an eye on the Z-Score or the blue line. When it goes over 2, it indicates an overbought or near top level, and when it goes below -2, it indicates an oversold or near bottom.
When Z-Score returns to zero or grey line, it suggests mean reversion is in progress.
You can also change the Z-Score criteria from 2 and -2 in the settings to any number you’d like for tighter or wider levels.
For scalping and fast trading setups, we recommend shorter SMAs, such as 5 and 20, and for longer trading setups such as swing trades, we recommend 20 and 100.
Settings:
Short SMA: Lookback period of short term simple moving average for the lower side of the SMA spread.
Short Term Weight: Additional weight or multiplier to suppress the short term SMA calculation. This is used to refine the SMA calculation for more granular and edge cases when needed, usually left at 1, meaning it will take the entire given value in the short SMA field.
Long SMA: Lookback period of long term simple moving average for the upper side of the SMA spread.
Long Term Weight: Additional weight or multiplier to suppress the long term SMA calculation. This is used to refine the long SMA calculation for more granular and edge cases when needed, usually left at 1, meaning it will take the entire given value in the long SMA field.
Z-Score Threshold: The threshold for upper (oversold) and lower (overbought) levels. This can also be set individually from the style page.
Z-Score Lookback Window: The lookback period to calculate spread mean and spread standard deviation
Currency Basket vs USD - Trend & RSI Breakdown📊 Indicator Methodology
Currency Basket vs USD – Trend & Valuation Breakdown
💱 Strategy of Rotating Between USD and the Currency Basket
💰 100% cash strategy – always ready for market crashes.
🟢 Hold USD if the trend indicator shows USD is trending.
🔵 Hold the currency basket (EUR, PLN, CZK, CHF, GBP) if the basket is trending.
✅ This way, you're always on the winning side of the trade, never risking a loss of purchasing power.
📈 Since it's a LONG ONLY, NO LEVERAGE strategy, there are no trading or holding fees, except for a small 0.15% FX fee every few months when the trending currency changes.
📈 Trend Indicator
Uses 5 different indicators working together to determine which asset is in a trend.
👀 On the chart it's visualized as:
➕ Plus symbols indicating trend strength (usually ranges from -4 to +4).
🔺 If USD has a higher trend signal than the basket → Hold USD.
🔻 If the basket has a higher signal → Hold the basket.
🕒 Signals typically last several months and operate on the 3D (3-day) timeframe, giving a high probability of catching macro moves.
💡 Valuation Indicator (Z-scored RSI)
Uses RSI with a length of 30.
Z-scored between -1 to 1.
📉 Interpretation:
-1 for USD = too strong → likely stagnation or reversal.
-1 for Basket = undervalued → likely growth or stabilization.
📊 Displayed as a separate line below the main chart.
📍 A horizontal line at 90 is added on the main chart – helping you quickly see what’s above or below this key reference level.
⚙️ How the Strategy Works in Practice
✅ You update the indicator daily (takes only seconds).
✅ The trend indicator tells you which currency to hold.
✅ The valuation indicator prepares you for possible reversals.
🔄 When the trend shifts, you rotate your full position.
⏳ Trades typically last several months.
📈 Usually generates consistent profits of 2–8%.
💪 It grows your capital while keeping you ready to buy assets during major selloffs.
🔍 Best Usage
Use it as a quick scanner to observe trend or valuation changes.
If a signal appears, validate it using additional trend and valuation indicators.
📌 If most agree, take the position.
Tripple Cross Indicator Description:
Triple Cross Indicator is a custom TradingView indicator designed to identify and visualize key EMA crossover signals directly on the chart. It plots three exponential moving averages (EMA 20, EMA 50, EMA 200) and highlights four critical events:
Golden Cross 20/50: EMA 20 crossing above EMA 50 → shown as a yellow diamond below the candle.
Golden Cross 50/200: EMA 50 crossing above EMA 200 → shown as a blue diamond below the candle.
Death Cross 20/50: EMA 20 crossing below EMA 50 → shown as a fuchsia X below the candle.
Death Cross 50/200: EMA 50 crossing below EMA 200 → shown as a red X below the candle.
Alerts are automatically triggered for each crossover event so traders can be notified in real-time without constantly watching the chart.
This indicator provides a clear, simple visualization of trend shifts based on moving average crossovers, useful for swing traders, day traders, or anyone monitoring trend momentum.
⚠️ Disclaimer:
This indicator is for educational and informational purposes only and does not constitute financial advice or a recommendation to buy or sell any security or financial instrument. Trading financial markets involves risk, and past performance is not indicative of future results. Users should conduct their own research and consult with a qualified financial advisor before making trading decisions. The creator of this script is not liable for any financial losses or decisions made based on this indicator.
MTF VEGASThe MTF Tunnel Vegas indicator is a multi-timeframe (MTF) technical analysis tool designed to help traders identify trends and key price zones. It is based on the Vegas Tunnel system, which uses three key exponential moving averages (EMAs) — the 144, 169, and 233-period EMAs — to create a dynamic tunnel or channel on the price chart.
The purpose of this tunnel is to highlight zones where price may react, either as support/resistance or as breakout levels. When price approaches, bounces off, or crosses the tunnel, it can signal potential trading opportunities, whether for continuation or reversal setups.
The MTF component means that the indicator overlays the tunnel from a higher timeframe directly onto the current chart, giving traders a clear view of the larger trend context without needing to switch between multiple charts. This allows for better alignment of short-term decisions with long-term trend dynamics.
Key features:
✅ Plots 144, 169, and 233-period EMA tunnels from higher timeframes
✅ Highlights dynamic zones of support and resistance
✅ Helps traders stay aligned with the dominant trend
✅ Reduces chart noise and improves trade filtering
Trend Factor Simplified - Shared (Crypto)A Trend Following Indicator for crypto, stronger than your thought, entering lower region means you need to be careful of buying/long chance, entering upper region means you need to be careful of selling/short chance, good luck! NOT an oscillator/reversal indicator, don't be mislead by its plotting way.
一个加密货币的趋势跟踪指标，比你想的要强的那种，进入下方区域说明要关注买入/做多机会，进入上方区域说明要关注卖出/做空机会，实际操作试试看就知道了。不是振荡器/反转指标，别用错了。
Essential EMAs (50/100/200) by Koenigsegg⚡ Essential EMAs (50/100/200) — Clean & Focused by Koenigsegg
A no-noise, high-impact EMA trio designed for clarity and precision. This script lays down the 50, 100, and 200 EMAs in a sleek, focused format — perfect for traders who rely on structure, trend, and execution without chart clutter.
Simple. Effective. Intentional.
🔑 Key Features
📏 Plots 50, 100, and 200 EMAs with distinct, easy-to-track colors
🧼 Designed for clean, distraction-free charts — only what matters
🧠 Powered by ta.ema() — fast, reliable, and framework-ready
🎨 Styling:
‣ Green = 50 EMA (short-term structure)
‣ Purple = 100 EMA (mid-term trend)
‣ Red = 200 EMA (macro/long-term bias)
📘 What is an EMA?
An Exponential Moving Average (EMA) is a dynamic average that gives more weight to recent price data. Compared to a simple moving average (SMA), the EMA reacts faster to price changes, making it ideal for identifying evolving trends and structural shifts.
Each EMA here:
- 50 EMA = shorter-term trend, more reactive, faster signal.
- 100 EMA = balanced view, tracks medium-term flows.
- 200 EMA = long-term structure; trusted by institutions.
💡 Pro Tip: EMA Strengths, Weaknesses & Usage
✅ Positives
- Speed & Sensitivity — Reacts faster to trend changes than SMA.
- Trend Clarity — Helps confirm direction and strength of a move.
- Dynamic Support/Resistance — Price often respects EMAs during pullbacks.
- Bias Filter — Quickly spot bullish/bearish context by observing price vs EMA.
⚠️ Negatives
- Lagging Nature — It still relies on past data, so not predictive.
- Choppy Markets — Can give false signals in ranging conditions.
- Over-Reliance — Using EMAs alone without context can mislead entries/exits.
- Not Magic — They show what was, not what will be — your edge must come from strategy, not just lines.
🧠 How to Use EMAs for Edge
📈 Trend Structure
- Bullish Bias: Price above 50/100/200 EMA — especially if they’re stacked: 50 > 100 > 200.
- Bearish Bias: Price below 50/100/200 EMA — stacked 200 > 100 > 50 confirms strength.
🔁 Crossover Signals (Momentum Shifts)
- Bullish Cross: 50 EMA crossing above 100 or 200 = possible trend acceleration.
- Bearish Cross: 50 EMA crossing below 100 or 200 = caution for reversals.
📌 Pro Edge Tip:
The space between EMAs matters. Tight clustering = indecision. Wide separation = trending strength or exhaustion. Use that spacing like a pressure gauge.
🕵️ Dynamic Support/Resistance
- Pullback to 50 EMA in an uptrend = possible re-entry zone.
- Rejection from 200 EMA = macro barrier; failure to break it can signal reversal or continuation failure.
🎯 Purpose
This script delivers the three most respected EMAs in trading — the 50, 100, and 200 — for structural awareness, trend confirmation, and entry/exit precision.
Whether you’re swing trading, day trading, or simply tracking price relative to long-term moving averages, this tool keeps your perspective grounded and your charts clean.
⚠️ Disclaimer
This script is for educational and informational purposes only. It does not constitute financial advice. Always perform your own analysis and trade responsibly.
Heikin Ashi Reversal (5+ Bearish)This indicator is good for buying signals has been developed to get best signals
المؤشر يعطيك نقاط شراء وصفقات بنسبه نجاح عاليه في مناطق ممتازه للشراء
BTC Markup/Markdown Zones by Koenigsegg📈 BTC Markup/Markdown Zones
A handcrafted indicator designed to mark Bitcoin's most critical High Time Frame (HTF) structure shifts. This tool overlays true institutional-level Markup and Markdown Zones, selected manually after deep market review. Whether you're testing strategies or actively trading, this tool gives you the bigger picture at all times.
🔍 Key Features:
✅ HTF Markup & Markdown Zones
Every zone is manually selected — no indicators, no repainting. Just raw market history and real structure.
✅ Two Display Modes
• Background Zones — soft overlays with low opacity for visual context — with the option to increase opacity manually if desired.
• Start Candle Highlight — sharply highlighted candle marking the final pivot before a macro reversal.
✅ Custom Color Controls (Style Tab)
All visual styling lives in the Style tab, with clearly labeled fields:
• Markup Zone
• Markdown Zone
• Start Candle Highlight Markup
• Start Candle Highlight Markdown
✅ Minimal Input Section
Just one toggle: display mode. Everything else is kept clean and intuitive.
🧠 Purpose:
This script is made for any timeframe:
• Zoom into lower timeframes to know whether you're trading inside a Markup or Markdown
• Use it during strategy testing for true structural awareness
📅 Handpicked Macro Turning Points:
Each zone originates from a manually confirmed candle — the last meaningful candle before a shift in control between bulls and bears:
• FRI 19 AUG 2011 12PM – MARK DOWN
• THU 20 OCT 2011 12AM – MARK UP
• WED 10 APR 2013 12PM – MARK DOWN
• FRI 12 APR 2013 12PM – MARK UP
• SAT 30 NOV 2013 12AM – MARK DOWN
• WED 14 JAN 2015 12PM – MARK UP
• SUN 17 DEC 2017 12PM – MARK DOWN
• SAT 15 DEC 2018 12PM – MARK UP
• WED 14 APR 2021 4AM – MARK DOWN
• TUE 22 JUN 2021 12PM – MARK UP
• WED 10 NOV 2021 12PM – MARK DOWN
• MON 21 NOV 2022 8PM – MARK UP
• THU 14 MAR 2024 4AM – MARK DOWN
• MON 5 AUG 2024 12PM – MARK UP
• MON 20 JAN 2025 4AM – MARK DOWN
💡 Zones are manually updated by me after each new confirmed Markup or Markdown.
🧬 Fractal Structure for MTF Systems
Price is fractal — meaning the same principles of structure repeat across all timeframes. In Version 2, this tool evolves by introducing manually selected sub-zones inside each High Time Frame (HTF) Markup or Markdown. These sub-zones reflect Medium Timeframe (MTF) structure shifts, offering precision for traders who operate on both intraday and swing levels.
This makes the indicator ideal for low timeframe (LTF) Markup/Markdown awareness — whether you're managing 15m entries or building multi-timeframe confluence systems.
No auto-zones. No guesswork. Just clean, intentional structure division within the broader trend, handpicked for maximum clarity and edge.
💡 Pro Tip:
When price is inside a Markup Zone, shorting becomes riskier — you're trading against a macro bullish structure.
When inside a Markdown Zone, longing becomes riskier — you're fighting against confirmed bearish momentum.
Use this tool to stay aligned with the broader move, especially when zoomed into smaller timeframes or managing entries/exits during intraday setups.
📈 Markup Phase – Bullish Sentiment
Definition: A period where price makes higher highs and higher lows — the uptrend is in full force.
Why sentiment is bullish:
- Institutions and smart money are already positioned long.
- Public/institutional demand drives prices up.
- Momentum is supported by positive news, breakouts, and FOMO.
- Higher highs confirm buyers are in control.
📉 Markdown Phase – Bearish Sentiment
Definition: A period where price makes lower lows and lower highs — clear downtrend.
Why sentiment is bearish:
- Distribution has already occurred, and supply outweighs demand.
- Smart money is short or sidelined, waiting for deeper prices.
- Panic selling or trend-following traders add downside momentum.
- Lower lows confirm sellers are in control.
❌ Trading Against the Trend — Consequences:
-Reduced Probability of Success
-You’re fighting the dominant flow. Most participants are pushing in the opposite direction.
-Drawdowns & Stop-Outs
-Countertrend trades often get wicked or flushed before any meaningful move, especially without structure-based entries.
-Low Risk-Reward Ratio
-Trends offer sustained moves. Countertrend trades may have small take-profit zones or chop.
-Mental Drain & Doubt
-Fighting momentum causes anxiety, second-guessing, and emotional reactions.
-Missed Opportunities
-Focusing on fighting the trend makes you blind to the high-probability setups with the trend.
-Increased Transaction Costs
-More stop-outs and re-entries mean more fees, more friction.
-FOMO from Watching the Trend Run
-Entering countertrend means you might watch the trend explode without you.
-Confirmation Bias & Stubbornness
-Countertrend traders often look for reasons to justify staying in the wrong direction — leading to bigger losses.
🧠 Summary
In markup = bulls dominate → you swim with the current.
In markdown = bears dominate → going long is like pushing a rock uphill.
Trading with the trend is not just safer, it's smarter. The edge lives in momentum — not ego.
⚠️ Disclaimer
This indicator is for educational and analytical use only. It is not financial advice and should not be relied on for decision-making without personal analysis.
This is not a predictive tool. No indicator can forecast upcoming price movements.
What you see here is based purely on past market behavior — specifically, historical tops and bottoms that marked the start of confirmed reversals.
This script does not know where the next reversal begins, nor can it determine where a new Markup or Markdown starts or ends. It is designed to provide context, not prediction.
Always trade with responsibility and perform your own due diligence.
StochRSI Crossover SignalsStochRSI Strategy V1.2 | Narrow Bands – Crossover-Based Trading Strategy
This strategy is built around the Stochastic RSI indicator on daily candles, using tight entry and exit bands to capture well-defined turning points in price action.
⚙️ Strategy Logic:
Entry (Long):
When the %K line crosses above the %D line, and both are below a defined lower threshold (default: 20) — indicating potential bullish momentum from an oversold state.
Exit (Close):
When the %K line crosses below the %D line, and both are above an upper threshold (default: 80) — indicating waning momentum from an overbought condition.
Stop-Loss:
A fixed stop-loss percentage is calculated from the entry price (default: 10%).
✅ Key Features:
Full synchronization between visual signals (green/red arrows) and actual trade execution.
Clean, focused logic — no external indicators or moving averages required.
Suitable for momentum-based traders seeking precise entries and exits after strong directional moves or extremes.
Middleclass_millionaire_3This powerful TradingView indicator combines moving averages, volume analysis, and dynamic support and resistance levels to deliver highly accurate buy and sell signals across any market. By analyzing the interaction between short- and long-term moving averages, the indicator detects trend shifts with precision. Volume spikes are used to confirm the strength of these moves, reducing false signals and enhancing entry timing. Simultaneously, it maps out key support and resistance zones, helping traders anticipate reversals or breakouts with confidence. The result is a well-rounded tool that provides actionable signals at key market turning points—ideal for traders looking to align momentum, volume, and price structure in one clean, easy-to-use system.
30-Day VWAP with StdDev Bands30-day VWAP script with ±1, ±2 standard deviation bands and shading between them. You can also customize the number of deviations if you like.
Moving Average StrategyFollow me on X! - @TheExpedTrader
For information or questions, reach me at theexpeditiontrader@gmail.com
Moving Average Strategy Indicator
A comprehensive EMA strategy tool to identify market trends with the following setup parameters:
1. Display EMA for current chart time period with graphical overlay showing fill colors for positive/negative correlation (defaulted to 50 for Fast EMA/200 for Slow EMA)
2. Overlay background time frame to show correlation with EMA on different time frame than chart value (defaulted to hourly).
3. Display BB bands with customization as well as a BB Band Cross Up and Cross down test (shows unusual and fast moving market activity by marking BB band intercept with symbol).
4. Display VWAP.
I use this tool primarily with the following configuration:
Daily charts
Fast EMA - 50
Slow EMA - 200
BG Time Frame - Weekly
BG Fast EMA - 3
BG Slow EMA - 9
BB Length - 20
BB Deviation - 4
BG Fast/Slow Crossover enabled
BG Fast/Slow Crossunder enabled
BB Dev Cross Up Test enabled
BB Dev Cross Down Test enabled
Configuration issues:
For some reason there are plot values that cannot be set to absolute. I need to dig deeper into that and will plan to post it out when I resolve the issue. I just set the values to above and below to mitigate for that.
