M-oscillator
[Stratégia] VWAP Mean Magnet v2 (VolSzűrő)Ez a stratégia BTC- oldalazó időszakára van kifejlestve 1 perces chartra.
WT_CROSS Dip Buy Signal(ozkan)This script identifies potential buy opportunities based on WaveTrend (WT_CROSS) momentum crossing below the -60 level — often indicating oversold conditions.
Additional filters include price being above the Kaufman Adaptive Moving Average (KAMA) and volume below the 5-period average, which helps isolate pullbacks within an uptrend.
Buy Signal Conditions:
WT1 < -60
Price > KAMA
Volume < 5-period SMA of volume
Purpose:
To capture early entries at possible local bottoms during bullish trends while avoiding high-volume breakdown traps.
🔔 You can also set an alert based on this condition.
CUO WITH BLUE BULL// Core Ultra Oscillator (CUO) with Blue Bull
//
// The Core Ultra Oscillator (CUO) is a technical analysis tool designed to identify potential trend reversals and breakout opportunities by combining momentum, volume, and divergence analysis.
// It aims to enhance divergence-based trading by incorporating additional filters to reduce false signals during strong market trends.
// The indicator integrates WaveTrend Oscillator, regular volume and Cumulative Volume Delta (CVD), generating unique divergence signals enhanced with trend filters to allow greater flexibility in trading style and market type.
//
// Key Features:
// - WaveTrend Oscillator: Plots momentum with customizable overbought and oversold levels, displaying buy (green dots) and sell (red dots) signals for prints in extreme zones.
// - Divergence Detection: Identifies regular and hidden bullish/bearish divergences on WaveTrend and CVD, using green/red lines to connect fractal points for potential trend reversals.
// - Cumulative Volume Delta (CVD): Measures buying and selling pressure with smoothed, normalized delta, enhanced by trend and slope filters for signal reliability.
// - Trend Shift Dots:
// - Green White Dot: Indicates the end of a bearish CVD trend, suggesting a potential bullish shift.
// - Black Dot (Red Center): Signals the end of a bullish CVD trend, indicating a potential bearish shift.
// - Seven Unique Dot Signals:
// - Blue Dot (Blue Bull): Highlights potential bullish breakouts based on accumulated momentum.
// - Yellow Dot (Gold Extreme Buy): Marks potential buying opportunities near market bottoms, often following an amber dot.
// - Purple Dot (Extreme Sell): Identifies high-probability sell signals using divergence and trend weakness filters.
// - Black Dot (Yellow Center): Targets first sign of weakness after a strong bullish trend ends, aiming to capture significant selloffs.
// - Dark Blue Dot: Signals peaks in oversold regions after a bullish trend has ended and momentum has flipped towards the bears.
// - Dark Grey Dot: Warns of potential tops via CVD bearish divergences, ideally confirmed with Purple Dot or regular divergences.
// - Amber Dot: Indicates potential bottoms via CVD bullish divergences, to be confirmed with Yellow Dot or regular divergences.
// - Comprehensive Alerts: Includes 15 alert conditions for WaveTrend, CVD, and dot signals to support real-time trading decisions.
//
// How to Use:
// - Apply the indicator to any chart to monitor momentum, volume, and divergences.
// - Adjust Trend momentum, WaveTrend, CVD, and trend thinning parameters through input settings.
// - Use dot signals and divergence lines to time trade entries and exits.
// - Configure alerts for real-time notifications of key signals.
//
// Note: This indicator is for informational purposes only and does not constitute financial advice. Users are encouraged to backtest thoroughly and evaluate the indicator’s performance in their trading strategy.
MERV: Market Entropy & Rhythm Visualizer [BullByte]The MERV (Market Entropy & Rhythm Visualizer) indicator analyzes market conditions by measuring entropy (randomness vs. trend), tradeability (volatility/momentum), and cyclical rhythm. It provides traders with an easy-to-read dashboard and oscillator to understand when markets are structured or choppy, and when trading conditions are optimal.
Purpose of the Indicator
MERV’s goal is to help traders identify different market regimes. It quantifies how structured or random recent price action is (entropy), how strong and volatile the movement is (tradeability), and whether a repeating cycle exists. By visualizing these together, MERV highlights trending vs. choppy environments and flags when conditions are favorable for entering trades. For example, a low entropy value means prices are following a clear trend line, whereas high entropy indicates a lot of noise or sideways action. The indicator’s combination of measures is original: it fuses statistical trend-fit (entropy), volatility trends (ATR and slope), and cycle analysis to give a comprehensive view of market behavior.
Why a Trader Should Use It
Traders often need to know when a market trend is reliable vs. when it is just noise. MERV helps in several ways: it shows when the market has a strong direction (low entropy, high tradeability) and when it’s ranging (high entropy). This can prevent entering trend-following strategies during choppy periods, or help catch breakouts early. The “Optimal Regime” marker (a star) highlights moments when entropy is very low and tradeability is very high, typically the best conditions for trend trades. By using MERV, a trader gains an empirical “go/no-go” signal based on price history, rather than guessing from price alone. It’s also adaptable: you can apply it to stocks, forex, crypto, etc., on any timeframe. For example, during a bullish phase of a stock, MERV will turn green (Trending Mode) and often show a star, signaling good follow-through. If the market later grinds sideways, MERV will shift to magenta (Choppy Mode), warning you that trend-following is now risky.
Why These Components Were Chosen
Market Entropy (via R²) : This measures how well recent prices fit a straight line. We compute a linear regression on the last len_entropy bars and calculate R². Entropy = 1 - R², so entropy is low when prices follow a trend (R² near 1) and high when price action is erratic (R² near 0). This single number captures trend strength vs noise.
Tradeability (ATR + Slope) : We combine two familiar measures: the Average True Range (ATR) (normalized by price) and the absolute slope of the regression line (scaled by ATR). Together they reflect how active and directional the market is. A high ATR or strong slope means big moves, making a trend more “tradeable.” We take a simple average of the normalized ATR and slope to get tradeability_raw. Then we convert it to a percentile rank over the lookback window so it’s stable between 0 and 1.
Percentile Ranks : To make entropy and tradeability values easy to interpret, we convert each to a 0–100 rank based on the past len_entropy periods. This turns raw metrics into a consistent scale. (For example, an entropy rank of 90 means current entropy is higher than 90% of recent values.) We then divide by 100 to plot them on a 0–1 scale.
Market Mode (Regime) : Based on those ranks, MERV classifies the market:
Trending (Green) : Low entropy rank (<40%) and high tradeability rank (>60%). This means the market is structurally trending with high activity.
Choppy (Magenta) : High entropy rank (>60%) and low tradeability rank (<40%). This is a mostly random, low-momentum market.
Neutral (Cyan) : All other cases. This covers mixed regimes not strongly trending or choppy.
The mode is shown as a colored bar at the bottom: green for trending, magenta for choppy, cyan for neutral.
Optimal Regime Signal : Separately, we mark an “optimal” condition when entropy_norm < 0.3 and tradeability > 0.7 (both normalized 0–1). When this is true, a ★ star appears on the bottom line. This star is colored white when truly optimal, gold when only tradeability is high (but entropy not quite low enough), and black when neither condition holds. This gives a quick visual cue for very favorable conditions.
What Makes MERV Stand Out
Holistic View : Unlike a single-oscillator, MERV combines trend, volatility, and cycle analysis in one tool. This multi-faceted approach is unique.
Visual Dashboard : The fixed on-chart dashboard (shown at your chosen corner) summarizes all metrics in bar/gauge form. Even a non-technical user can glance at it: more “█” blocks = a higher value, colors match the plots. This is more intuitive than raw numbers.
Adaptive Thresholds : Using percentile ranks means MERV auto-adjusts to each market’s character, rather than requiring fixed thresholds.
Cycle Insight : The rhythm plot adds information rarely found in indicators – it shows if there’s a repeating cycle (and its period in bars) and how strong it is. This can hint at natural bounce or reversal intervals.
Modern Look : The neon color scheme and glow effects make the lines easy to distinguish (blue/pink for entropy, green/orange for tradeability, etc.) and the filled area between them highlights when one dominates the other.
Recommended Timeframes
MERV can be applied to any timeframe, but it will be more reliable on higher timeframes. The default len_entropy = 50 and len_rhythm = 30 mean we use 30–50 bars of history, so on a daily chart that’s ~2–3 months of data; on a 1-hour chart it’s about 2–3 days. In practice:
Swing/Position traders might prefer Daily or 4H charts, where the calculations smooth out small noise. Entropy and cycles are more meaningful on longer trends.
Day trader s could use 15m or 1H charts if they adjust the inputs (e.g. shorter windows). This provides more sensitivity to intraday cycles.
Scalpers might find MERV too “slow” unless input lengths are set very low.
In summary, the indicator works anywhere, but the defaults are tuned for capturing medium-term trends. Users can adjust len_entropy and len_rhythm to match their chart’s volatility. The dashboard position can also be moved (top-left, bottom-right, etc.) so it doesn’t cover important chart areas.
How the Scoring/Logic Works (Step-by-Step)
Compute Entropy : A linear regression line is fit to the last len_entropy closes. We compute R² (goodness of fit). Entropy = 1 – R². So a strong straight-line trend gives low entropy; a flat/noisy set of points gives high entropy.
Compute Tradeability : We get ATR over len_entropy bars, normalize it by price (so it’s a fraction of price). We also calculate the regression slope (difference between the predicted close and last close). We scale |slope| by ATR to get a dimensionless measure. We average these (ATR% and slope%) to get tradeability_raw. This represents how big and directional price moves are.
Convert to Percentiles : Each new entropy and tradeability value is inserted into a rolling array of the last 50 values. We then compute the percentile rank of the current value in that array (0–100%) using a simple loop. This tells us where the current bar stands relative to history. We then divide by 100 to plot on .
Determine Modes and Signal : Based on these normalized metrics: if entropy < 0.4 and tradeability > 0.6 (40% and 60% thresholds), we set mode = Trending (1). If entropy > 0.6 and tradeability < 0.4, mode = Choppy (-1). Otherwise mode = Neutral (0). Separately, if entropy_norm < 0.3 and tradeability > 0.7, we set an optimal flag. These conditions trigger the colored mode bars and the star line.
Rhythm Detection : Every bar, if we have enough data, we take the last len_rhythm closes and compute the mean and standard deviation. Then for lags from 5 up to len_rhythm, we calculate a normalized autocorrelation coefficient. We track the lag that gives the maximum correlation (best match). This “best lag” divided by len_rhythm is plotted (a value between 0 and 1). Its color changes with the correlation strength. We also smooth the best correlation value over 5 bars to plot as “Cycle Strength” (also 0 to 1). This shows if there is a consistent cycle length in recent price action.
Heatmap (Optional) : The background color behind the oscillator panel can change with entropy. If “Neon Rainbow” style is on, low entropy is blue and high entropy is pink (via a custom color function), otherwise a classic green-to-red gradient can be used. This visually reinforces the entropy value.
Volume Regime (Dashboard Only) : We compute vol_norm = volume / sma(volume, len_entropy). If this is above 1.5, it’s considered high volume (neon orange); below 0.7 is low (blue); otherwise normal (green). The dashboard shows this as a bar gauge and percentage. This is for context only.
Oscillator Plot – How to Read It
The main panel (oscillator) has multiple colored lines on a 0–1 vertical scale, with horizontal markers at 0.2 (Low), 0.5 (Mid), and 0.8 (High). Here’s each element:
Entropy Line (Blue→Pink) : This line (and its glow) shows normalized entropy (0 = very low, 1 = very high). It is blue/green when entropy is low (strong trend) and pink/purple when entropy is high (choppy). A value near 0.0 (below 0.2 line) indicates a very well-defined trend. A value near 1.0 (above 0.8 line) means the market is very random. Watch for it dipping near 0: that suggests a strong trend has formed.
Tradeability Line (Green→Yellow) : This represents normalized tradeability. It is colored bright green when tradeability is low, transitioning to yellow as tradeability increases. Higher values (approaching 1) mean big moves and strong slopes. Typically in a market rally or crash, this line will rise. A crossing above ~0.7 often coincides with good trend strength.
Filled Area (Orange Shade) : The orange-ish fill between the entropy and tradeability lines highlights when one dominates the other. If the area is large, the two metrics diverge; if small, they are similar. This is mostly aesthetic but can catch the eye when the lines cross over or remain close.
Rhythm (Cycle) Line : This is plotted as (best_lag / len_rhythm). It indicates the relative period of the strongest cycle. For example, a value of 0.5 means the strongest cycle was about half the window length. The line’s color (green, orange, or pink) reflects how strong that cycle is (green = strong). If no clear cycle is found, this line may be flat or near zero.
Cycle Strength Line : Plotted on the same scale, this shows the autocorrelation strength (0–1). A high value (e.g. above 0.7, shown in green) means the cycle is very pronounced. Low values (pink) mean any cycle is weak and unreliable.
Mode Bars (Bottom) : Below the main oscillator, thick colored bars appear: a green bar means Trending Mode, magenta means Choppy Mode, and cyan means Neutral. These bars all have a fixed height (–0.1) and make it very easy to see the current regime.
Optimal Regime Line (Bottom) : Just below the mode bars is a thick horizontal line at –0.18. Its color indicates regime quality: White (★) means “Optimal Regime” (very low entropy and high tradeability). Gold (★) means not quite optimal (high tradeability but entropy not low enough). Black means neither condition. This star line quickly tells you when conditions are ideal (white star) or simply good (gold star).
Horizontal Guides : The dotted lines at 0.2 (Low), 0.5 (Mid), and 0.8 (High) serve as reference lines. For example, an entropy or tradeability reading above 0.8 is “High,” and below 0.2 is “Low,” as labeled on the chart. These help you gauge values at a glance.
Dashboard (Fixed Corner Panel)
MERV also includes a compact table (dashboard) that can be positioned in any corner. It summarizes key values each bar. Here is how to read its rows:
Entropy : Shows a bar of blocks (█ and ░). More █ blocks = higher entropy. It also gives a percentage (rounded). A full bar (10 blocks) with a high % means very chaotic market. The text is colored similarly (blue-green for low, pink for high).
Rhythm : Shows the best cycle period in bars (e.g. “15 bars”). If no calculation yet, it shows “n/a.” The text color matches the rhythm line.
Cycle Strength : Gives the cycle correlation as a percentage (smoothed, as shown on chart). Higher % (green) means a strong cycle.
Tradeability : Displays a 10-block gauge for tradeability. More blocks = more tradeable market. It also shows “gauge” text colored green→yellow accordingly.
Market Mode : Simply shows “Trending”, “Choppy”, or “Neutral” (cyan text) to match the mode bar color.
Volume Regime : Similar to tradeability, shows blocks for current volume vs. average. Above-average volume gives orange blocks, below-average gives blue blocks. A % value indicates current volume relative to average. This row helps see if volume is abnormally high or low.
Optimal Status (Large Row) : In bold, either “★ Optimal Regime” (white text) if the star condition is met, “★ High Tradeability” (gold text) if tradeability alone is high, or “— Not Optimal” (gray text) otherwise. This large row catches your eye when conditions are ripe.
In short, the dashboard turns the numeric state into an easy read: filled bars, colors, and text let you see current conditions without reading the plot. For instance, five blue blocks under Entropy and “25%” tells you entropy is low (good), and a row showing “Trending” in green confirms a trend state.
Real-Life Example
Example : Consider a daily chart of a trending stock (e.g. “AAPL, 1D”). During a strong uptrend, recent prices fit a clear upward line, so Entropy would be low (blue line near bottom, perhaps below the 0.2 line). Volatility and slope are high, so Tradeability is high (green-yellow line near top). In the dashboard, Entropy might show only 1–2 blocks (e.g. 10%) and Tradeability nearly full (e.g. 90%). The Market Mode bar turns green (Trending), and you might see a white ★ on the optimal line if conditions are very good. The Volume row might light orange if volume is above average during the rally. In contrast, imagine the same stock later in a tight range: Entropy will rise (pink line up, more blocks in dashboard), Tradeability falls (fewer blocks), and the Mode bar turns magenta (Choppy). No star appears in that case.
Consolidated Use Case : Suppose on XYZ stock the dashboard reads “Entropy: █░░░░░░░░ 20%”, “Tradeability: ██████████ 80%”, Mode = Trending (green), and “★ Optimal Regime.” This tells the trader that the market is in a strong, low-noise trend, and it might be a good time to follow the trend (with appropriate risk controls). If instead it reads “Entropy: ████████░░ 80%”, “Tradeability: ███▒▒▒▒▒▒ 30%”, Mode = Choppy (magenta), the trader knows the market is random and low-momentum—likely best to sit out until conditions improve.
Example: How It Looks in Action
Screenshot 1: Trending Market with High Tradeability (SOLUSD, 30m)
What it means:
The market is in a clear, strong trend with excellent conditions for trading. Both trend-following and active strategies are favored, supported by high tradeability and strong volume.
Screenshot 2: Optimal Regime, Strong Trend (ETHUSD, 1h)
What it means:
This is an ideal environment for trend trading. The market is highly organized, tradeability is excellent, and volume supports the move. This is when the indicator signals the highest probability for success.
Screenshot 3: Choppy Market with High Volume (BTC Perpetual, 5m)
What it means:
The market is highly random and choppy, despite a surge in volume. This is a high-risk, low-reward environment, avoid trend strategies, and be cautious even with mean-reversion or scalping.
Settings and Inputs
The script is fully open-source; here are key inputs the user can adjust:
Entropy Window (len_entropy) : Number of bars used for entropy and tradeability (default 50). Larger = smoother, more lag; smaller = more sensitivity.
Rhythm Window (len_rhythm ): Bars used for cycle detection (default 30). This limits the longest cycle we detect.
Dashboard Position : Choose any corner (Top Right default) so it doesn’t cover chart action.
Show Heatmap : Toggles the entropy background coloring on/off.
Heatmap Style : “Neon Rainbow” (colorful) or “Classic” (green→red).
Show Mode Bar : Turn the bottom mode bar on/off.
Show Dashboard : Turn the fixed table panel on/off.
Each setting has a tooltip explaining its effect. In the description we will mention typical settings (e.g. default window sizes) and that the user can move the dashboard corner as desired.
Oscillator Interpretation (Recap)
Lines : Blue/Pink = Entropy (low=trend, high=chop); Green/Yellow = Tradeability (low=quiet, high=volatile).
Fill : Orange tinted area between them (for visual emphasis).
Bars : Green=Trending, Magenta=Choppy, Cyan=Neutral (at bottom).
Star Line : White star = ideal conditions, Gold = good but not ideal.
Horizontal Guides : 0.2 and 0.8 lines mark low/high thresholds for each metric.
Using the chart, a coder or trader can see exactly what each output represents and make decisions accordingly.
Disclaimer
This indicator is provided as-is for educational and analytical purposes only. It does not guarantee any particular trading outcome. Past market patterns may not repeat in the future. Users should apply their own judgment and risk management; do not rely solely on this tool for trading decisions. Remember, TradingView scripts are tools for market analysis, not personalized financial advice. We encourage users to test and combine MERV with other analysis and to trade responsibly.
-BullByte
(MACD) 25 0122 미팅 MACD 볼린저Here is the English translation:
---
"I am currently testing the upload.
The content of the test script involves utilizing Bollinger Bands by linking the Bollinger Band basis line with the MACD's '0' baseline, allowing the MACD to be visualized on the chart."
RSI Divergence(CompactFX)This is the standard "RSI" with "divergence" displayed. Additionally, it has the following features:
- The line color shifts above and below the RSI 50 threshold.
- The MA can be displayed on the RSI.
- Signs of an expected reversal are displayed.
**Examples of Use**
*For Swing Traders
In addition to using the standard RSI, the divergence display can serve as a trigger for further consideration.
*For Scalpers
For athletic traders who prefer intuition over logic and calculation, we recommend customizing the RSI color to your liking for bulls and bears. Consider extending the price until the RSI color changes. Below is my example.
-One-Minute Scalping
When prices are moving above the long-term and short-term MAs, you can hold a position as long as the RSI is above 55 (below 45 for bears). In this case, pivot signs can also be used as a guide for closing positions. Of course, this is best done during periods of high momentum. Five- and 15-minute scalping also works well. However, these only work if you adhere to my logic. Don't forget to adhere to your own logic and framework.
The above is just an example. Feel free to use it as you like.
Swing Strategy MTF with Auto SL/TP + Weekly Pivotsested and Working Notes:
Works on any intraday chart (like 1H or 4H)
Uses Daily trend for confirmation by default
Adjust trend EMAs or pivot TF if needed
Wait for a signal label after candle close
Targets and SL are drawn automatically
—
TFPS - TradFi Pressure ScoreThe Data-Driven Answer to a New Market Reality.
This indicator quantifies the pressure exerted by Wall Street on the crypto market across four critical dimensions: Risk Appetite, Fear, Liquidity Flows, and the Opportunity Cost of Capital. Our research has found that the correlation between this 4-dimensional pressure vector and crypto price action reaches peak values of 0.87. This is your decisive macro edge, delivered in real-time.
The Irreversible Transformation
A fundamental analysis of the last five years of market data proves an irreversible transformation: The crypto market has matured into a high-beta risk asset, its fate now inextricably linked to Traditional Finance (TradFi).
The empirical data is clear:
Bitcoin increasingly behaves like a leveraged version of the S&P 500.
The correlation to major stock indices is statistically significant and persistent.
The "digital gold" narrative is refuted by the data; the correlation to gold is virtually non-existent.
This means standard technical indicators are no longer sufficient. Tools like RSI or MACD are blind to the powerful, external macro context that now dominates price action. They see the effect, but not the cause.
The Solution: A 4-Dimensional Macro-Lens
The TradFi Pressure Score (TFPS) is the answer. It is an institutional-grade dashboard that aggregates the four most dominant external forces into a single, actionable score:
S&P 500 (SPY): The Pulse of Risk Appetite. A rising S&P signals a "risk-on" environment, fueling capital flows into crypto.
VIX: The Market's Fear Gauge. A rising VIX signals a "risk-off" flight to safety, draining liquidity from crypto.
DXY (US-Dollar Index): The Anchor of Global Liquidity. A strong Dollar (rising DXY) tightens financial conditions, creating powerful headwinds for risk assets like Bitcoin.
US 10Y Yield: The Opportunity Cost of Capital. Rising yields make risk-free assets more attractive, pulling capital away from non-yielding assets like crypto.
What makes the TFPS truly unique?
1. Dynamic Weighting (The Secret Weapon):
Which macro factor matters most right now? Is it a surging Dollar or a collapsing stock market? The TFPS answers this automatically. It continuously analyzes the correlation of all four components to your chosen asset (e.g., Bitcoin) and adjusts their influence in real-time. The dashboard shows you the exact live weights, ensuring you are always focused on the factor that is currently driving the market.
2. Adaptive Engine:
The forces driving a 15-minute chart are different from those driving a daily chart. The TFPS engine automatically recalibrates its internal lookback periods to your chosen timeframe. This ensures the score is always optimally relevant, whether you are a day trader or a swing trader.
3. Designed for Actionable Insights
The Pressure Line: The indicator's core output. Is its value > 0 (tailwind) or < 0 (headwind)? This provides an instant, unambiguous read on the macro environment for your trade.
The Z-Score (The Contrarian Signal): The background "Stress Cloud" and the discrete dots provide early warnings of extreme macro greed or fear. Readings above +2 or below -2 have historically pinpointed moments of market exhaustion that often precede major trend reversals.
Lead/Lag Status: Gain a critical edge by knowing who is in the driver's seat. The dashboard tells you if TradFi is leading the price action or if crypto is moving independently, allowing you to validate your trade thesis against the dominant market force.
This is a public indicator with protected source code
Access is now available for traders who understand the new market reality at the intersection of crypto and traditional finance.
You are among the first to leverage what is a new standard for macro analysis in crypto trading. Your feedback is highly valued as I continue to refine this tool.
Follow for updates and trade with the full context!
MACD Signal with Williams %R ColoringA simple fused indicator of 2, 1) MACD signal lines made colouring when 2) Williams % R is in overbought or oversold. not my own coding, just took two readily available indicators and coded them together.
HBD.warning wave scanningAlarms can be set for RSI, MACD, Stochastic, CCI, MFI, EMA50, EMA200, and automatic Fibonacci, among others. The Fibonacci last bar contact alert increases your chances of spotting prices at support levels.
Token Beta vs BTCWant to know how risky a crypto token is compared to Bitcoin?
It looks at the last 30 days of price data (you can change this number) for both the token you’re checking and Bitcoin. It calculates a number called beta, which tells you how much the token’s price swings compared to Bitcoin’s.
For example: If beta is 1.5, the token moves 1.5 times more than Bitcoin (pretty volatile!).
If beta is 0.8, it’s calmer than Bitcoin.
You set a “median beta” (default is 1.2), which is like a middle point for a group of tokens. The script checks if the token’s beta is higher than this median.
If it is, the token gets a score of 1 (meaning it’s riskier than average). If not, it gets a 0.
Table: A box pops up in the top-right corner of the chart, showing:
The token’s name (e.g., “SUIUSD”).
Its beta (e.g., “1.45”).
Its score (1 or 0, colored green for 1, red for 0).
Graphs: It draws a blue line for the beta value and a green bar graph for the score (1 or 0).
strategy15min bar, short-term and scalp strategy, eth, using stdev as trend line, long when price hits the lower line, short when price hits the upper line.
Gold 3min Trading Pro [XAU/USD]# Gold 3min Trading Pro - User Guide
## Overview
This is a professional scalping indicator specifically designed for Gold (XAU/USD) trading on 3-minute timeframes. It combines multiple technical analysis methods to provide high-probability entry signals for short-term trading.
## Key Features
### 1. Multi-Timeframe Trend Analysis
- **Major Trend**: Analyzes 15min, 1H, and 4H timeframes using moving averages
- **Short-term Trend**: Focuses on 3-minute price action and moving average alignment
- **Trend Strength**: Rated from 1-3 based on timeframe agreement
### 2. Core Indicators
- **RSI (9-period)**: Momentum oscillator for overbought/oversold conditions
- **Stochastic (9-period)**: %K and %D lines for entry timing
- **MACD**: Additional trend confirmation
- **Volume Analysis**: Detects volume spikes for signal validation
- **ATR-based Volatility Filter**: Ensures adequate market movement
### 3. Signal Types
- **Primary Signals**: Green triangles (LONG) and Red triangles (SHORT)
- **Enhanced Signals**: Stronger signals with multiple confirmations
- **Confirmation Signals**: Small circles for stochastic crossovers
## How to Use
### 1. Setup
- **Timeframe**: Use on 3-minute charts for Gold (XAU/USD)
- **Settings**: Default settings are optimized for Gold scalping
- **Session Filter**: Enable for London/New York sessions (recommended)
### 2. Entry Conditions
#### LONG Entry:
- Major trend is bullish (green background)
- Short-term trend is up or neutral
- RSI shows bullish momentum
- Stochastic indicates oversold recovery
- Volume spike confirmation
- Strong price action (bullish candle)
#### SHORT Entry:
- Major trend is bearish (red background)
- Short-term trend is down or neutral
- RSI shows bearish momentum
- Stochastic indicates overbought reversal
- Volume spike confirmation
- Strong price action (bearish candle)
### 3. Trade Management
- **Quick Target**: 50% of ATR-based calculation
- **Main Target**: Full ATR-based target
- **Stop Loss**: 60% of ATR below/above entry
- **Time Limit**: Exit if no progress within 20 bars (60 minutes)
### 4. Risk Management
- **Position Size**: Risk 1-2% of account per trade
- **Maximum Trades**: 3-5 trades per session
- **Avoid**: Low volatility periods and major news events
## Visual Elements
### Background Colors
- **Light Green**: Bullish major trend
- **Light Red**: Bearish major trend
- **Yellow**: Volume spike detected
- **Intense Colors**: Very strong trend alignment
### Chart Indicators
- **RSI Line (Blue)**: Main momentum indicator
- **Stochastic %K (Orange)**: Fast stochastic line
- **Stochastic %D (Yellow)**: Slow stochastic line
- **Horizontal Lines**: 70 (overbought), 30 (oversold), 50 (midline)
### Information Table (Top Right)
- Total signal count and performance statistics
- Current market conditions and trend strength
- RSI levels and volatility status
- Trading session information
- Last signal timing
## Alert System
### Standard Alerts
- **Scalp Long Signal**: Basic long entry signal
- **Scalp Short Signal**: Basic short entry signal
- **Premium Signals**: High-quality signals with strong confirmation
- **Trend Reversal**: Major trend change notifications
### Alert Setup
1. Right-click on chart → "Add Alert"
2. Select desired alert condition
3. Configure notification method (popup, email, webhook)
4. Set alert frequency to "Once Per Bar Close"
## Best Practices
### 1. Trading Sessions
- **Optimal**: London-NY overlap (3:00-5:00 PM EST)
- **Good**: London session (2:00-11:00 AM EST)
- **Avoid**: Asian session and major news releases
### 2. Market Conditions
- **Best**: Trending markets with normal to high volatility
- **Moderate**: Ranging markets during active sessions
- **Avoid**: Extremely low volatility or choppy conditions
### 3. Confirmation Rules
- Wait for signal triangle to appear
- Check that major trend aligns with signal direction
- Verify volume spike (yellow background)
- Ensure volatility is adequate (check info table)
### 4. Entry Timing
- Enter immediately after signal confirmation
- Use market orders for scalping speed
- Set stop loss and take profit levels immediately
## Settings Customization
### Essential Settings
- **MA Type**: EMA (recommended) or SMA
- **RSI Length**: 9 (default, can adjust 5-14)
- **Volume Threshold**: 1.8 (higher = fewer but stronger signals)
- **Volatility Filter**: Keep enabled for better signal quality
### Display Options
- **Show Scalping Signals**: Main entry signals
- **Show Performance Stats**: Information table
- **Show Trend Filter**: Background trend colors
- **Use Time Filter**: Session-based filtering
## Performance Optimization
### 1. Backtesting Tips
- Test on different market conditions
- Analyze win rate and average profit/loss
- Adjust settings based on historical performance
### 2. Signal Quality
- Higher trend strength (2-3) = better signals
- Volume confirmation improves success rate
- Enhanced signals have higher probability
### 3. Risk Control
- Never risk more than 2% per trade
- Use proper position sizing
- Stop trading after 3 consecutive losses
## Troubleshooting
### Common Issues
1. **No Signals**: Check volatility filter and session timing
2. **Too Many Signals**: Increase volume threshold or enable filters
3. **Poor Performance**: Verify timeframe (must be 3-minute) and symbol (XAU/USD)
### Support
- Ensure TradingView Pro+ subscription for multi-timeframe data
- Verify Gold symbol matches your broker's format
- Update to latest TradingView version
This indicator is designed for experienced traders familiar with scalping techniques and risk management. Always practice on demo accounts before live trading.
Indexrate Code BIndexrate Code B is an indicator and part of the Indexrate Code Set of Algorithm, which additionally includes the Indexrate Code A strategy.
The Indexrate Code Set of Algorithms can be used for any trading instruments and on any existing markets (Stock market, Forex, Cryptocurrency market, etc.).
Indexrate Code B consists of a set of indicators, oscillators and signals that are uniquely configured to interact with each other and allow traders to analyze the movement of an asset’s price:
- Momentum
This oscillator measures the amount of change in the price of an asset over a certain period of time. This is a great tool for understanding the strength of a trend and its potential sustainability. When the momentum oscillator is rising, it indicates that the price is moving up and vice versa.
Momentum is an advanced technical analysis tool that helps traders determine the rate of change or momentum of the market. It is typically used to determine the strength or rate at which the price of an asset increases or decreases for a set of returns. This oscillator is considered to be "fast moving" and "sensitive" as it reacts quickly to changes in price momentum. The fast-moving nature of this oscillator helps traders get early signals for potential market entry or exit points.
The Momentum Oscillator analyzes the current price compared to the previous price and adds two additional levels of analysis: Buy and Sell Movements and Extremes.
• Buying and Selling Movements: This oscillator layer helps identify the buying and selling pressure in the market. This can provide traders with valuable information about the possible direction of future price movements. When there is high buying pressure (demand), the price tends to rise, and when there is high selling pressure (supply), the price tends to fall.
• Extremes: This layer helps identify extreme overbought or oversold conditions. When the oscillator enters the overbought zone, it may indicate that price has peaked and could potentially reverse. Conversely, if the oscillator enters an oversold zone, it could indicate that the price is at a low and could potentially rebound.
Momentum usage example
Momentum is a sensitive and fast-moving oscillator that quickly adapts to price changes while tracking long-term momentum, making it easier to spot buying or selling opportunities in trends.
-Difference Momentum
The Momentum wave described above consists of two curves combined into a ribbon. Difference Momentum shows the intersection of these waves. Difference Momentum is an important component of the toolkit. It takes into account both the direction and dynamics of market trends. The waves within this system are fast and responsive, acting independently and offering the most relevant information at the most appropriate moments. Their fast response time ensures that traders receive timely information, which is very important in the fast-paced and dynamic world of trading.
An example of using Difference Momentum
Difference Momentum is able to identify trend reversals and pullbacks, allowing traders to enter or exit trades at optimal times.
Movement of the indicator curve from negative to positive values (from bottom to top) for Long and movement of the curve from positive to negative values (from top to bottom) for Short. As well as the intersection of the center line of the indicator channel (value “0”) in one direction or the other. The values can be observed in the status line.
-StochRSI
StochRSI is a type of momentum oscillator that is commonly used in technical analysis to predict price movements. As the name suggests, it is an enhanced form of the traditional Relative Strength Index (RSI) that provides traders with more timely signals to enter and exit the market.
StochRSI works on similar principles but is designed to provide signals ahead of traditional RSI. This is achieved through more complex mathematical modeling and calculations that aim to identify changes in market dynamics before they happen. It takes into account not only current price action, but also takes into account historical data in such a way that changes in trend directions can be anticipated.
Example of using StochRSI
StochRSI is an enhanced version of the traditional relative strength index, offering overbought or oversold market conditions.
The oscillator wave changes color from green to red. Where the green color serves as a priority for Long positions, and the red color serves as a priority for Short positions. Values in the “80” zone and above indicate the asset is overbought, and values in the “20” zone and below indicate the asset is oversold. The values can be observed in the status line.
-Money Flow Index (MFI)
Money Flow Index (MFI) or Money Flow Index is an indicator from the group of oscillators. It reflects the rate at which funds are invested in and withdrawn from a financial asset. Essentially, it measures the pressure of buyers and sellers. The oscillator calculates incoming and outgoing cash flows.
The Money Flow Index helps traders analyze positive and negative money flows and compare these data with price, which in turn allows them to better see trend strength and turning points.
Example of using Money Flow Index (MFI)
The transition of waves from gray to blue means that money is entering the asset, and vice versa from blue to gray means that money is leaving the asset. This leads to the conclusion that when money enters an asset, it becomes more expensive, and when money leaves an asset, it becomes cheaper. A hint of this movement gives the trader additional confirmation of the received signal. The bar at the top of the indicator duplicates the movement of Money Flow Index (MFI) waves for accurate visualization of these transitions. At the same time, when the wave is in blue color (Long), then purchases are considered a priority, and when the wave is in gray color (Short), then sales are considered a priority.
-Trend Score WMA
The Trend Score WMA indicator is an indicator that uses a weighted moving average (WMA). When calculating, each candle is assigned its own weight, which is calculated depending on the selected period. The indicator quickly reacts to market changes. Trend Score WMA is good for quick trading within a day or several days.
The indicator curve resembles a broken line directed up or down, into blue zones (Long) at the top and gray zones (Short) at the bottom. The maximum indicator values are 83 and -83.
Example of using Trend Score WMA
This is an indicator of trend direction. The movement of the indicator curve shows the movement of the trend in real time. The indicator curve moves from bottom to top, from the gray Short zone to the blue Long zone and from top to bottom, from the blue Long zone to the gray Short zone. It is also worth considering that finding a wave in the maximum values of both Long and Short zones may mean the continuation of stronger trend movements.
-Signals
Indexrate Code B(i), shows the direction of price movement, trend breaks, overbought and oversold zones of an asset and creates corresponding signals.
When the Momentum waves intersect, the Difference Momentum wave crosses the zero mark in the status line and the center of the channel boundary (white lines on the indicator having values of 60 and -60), a signal appears in the form of a column of the corresponding color (blue - Long, gray - Short), as well as a cross of the corresponding color appears.
When Momentum Waves intersect and simultaneously cross the channel boundary at a value of 60 or -60, a square of the corresponding color appears. This could mean stronger price movements.
If Momentum waves move from high peaks to lower ones, this also serves as signals for a change in price movement.
When working with the Indexrate Code B(i) indicator, it is necessary to take into account the totality of indicators of other indicators and oscillators to confirm the indicator signals, as shown in their examples.
The Indexrate Code Set of Algorithms is suitable for conservative traders who evaluate their success in the long term, and not in short-term excess profits.
IT IS IMPORTANT TO KNOW that no indicator is capable of 100% predicting a successful trade.
The market is a collection of people. It is thanks to human psychology that shapes the forces of supply and demand that financial markets exist (Charles Dow Theory).
Forecasting based on the analysis of mathematical algorithms (indicators) uses data from past trading - the price of the previous period of time and the volume of previous trading. It is these two indicators that are used by modern technical analysis.
The Indexrate Code Set of Algorithm is based on algorithms that evaluate trends, prices and volume indicators. Besides human psychology, which requires an assessment of the exact preceding periods for a specific timeframe, and not an assessment of the entire period from the moment of listing of a trading instrument on a specific exchange. Since market indicators completely change throughout the trading period and the exchange trading volume also changes.
All updates to the Indexrate Code Set of Algorithm will be free.
Trading is trading on probabilities. Investing is trading on opportunity. Nobody knows the future - Always protect your profits!
Russian translation
Indexrate Code В - это индикатор являющийся частью Комплекта алгоритмов Indexrate Code, включающего в себя дополнительно стратегию Indexrate Code А(s).
Комплект алгоритмов Indexrate Code, может быть использован для любых торговых инструментов и на любых существующих рынках (Фондовый рынок, Форекс, Криптовалютный рынок и тд).
Indexrate Code В состоит из совокупности индикаторов, осцилляторов и сигналов, настроенных уникальным образом для взаимодействия между собой и позволяющих трейдерам комплексно анализировать движение цены актива:
- Momentum
Этот осциллятор измеряет величину изменения цены актива за определенный промежуток времени. Это отличный инструмент для понимания силы тренда и его потенциальной устойчивости. Когда осциллятор импульса растет, это говорит о том, что цена движется вверх и наоборот.
Momentum - это продвинутый инструмент технического анализа, который помогает трейдерам определить скорость изменения или импульс рынка. Обычно он используется для определения силы или скорости, с которой цена актива увеличивается или уменьшается для набора доходностей. Этот осциллятор считается «быстродвижущимся» и «чувствительным», поскольку он быстро реагирует на изменения ценового импульса. Быстродвижущийся характер этого осциллятора помогает трейдерам получать ранние сигналы для потенциальных точек входа или выхода из рынка.
Осциллятор Momentum анализирует текущую цену по сравнению с предыдущей ценой и добавляет два дополнительных уровня анализа: «Движения покупки и продажи» и «Экстремумы».
Движения покупки и продажи: этот слой осциллятора помогает определить давление покупателей и продавцов на рынке. Это может предоставить трейдерам ценную информацию о возможном направлении будущих движений цен. Когда существует высокое давление покупателей (спрос), цена имеет тенденцию расти, а когда существует высокое давление продавцов (предложение), цена имеет тенденцию падать.
Экстремумы: этот слой помогает определить экстремальные условия перекупленности или перепроданности. Когда осциллятор входит в зону перекупленности, это может указывать на то, что цена достигла максимума и потенциально может развернуться. И наоборот, если осциллятор входит в зону перепроданности, это может указывать на то, что цена находится на минимуме и потенциально может отскочить.
Пример использования Momentum
Momentum — это чувствительный и быстро движущийся осциллятор, который быстро адаптируется к изменениям цен, отслеживая при этом долгосрочный импульс, что облегчает обнаружение возможностей покупки или продажи в трендах.
-Difference Momentum
Волна Momentum описанная выше, состоит из двух кривых объединенных в ленту. Difference Momentum, показывает пересечение этих волн. Difference Momentum является важным компонентом набора инструментов. Он учитывает как направление, так и динамику рыночных тенденций. Волны внутри этой системы быстрые и отзывчивые, действуют независимо и предлагают наиболее подходящую информацию в наиболее подходящие моменты. Их быстрое время реагирования гарантирует, что трейдеры получают своевременную информацию, что очень важно в быстро меняющемся и динамичном мире торговли.
Пример использования Difference Momentum.
Difference Momentum способен определять развороты и откаты тренда, позволяя трейдерам входить или выходить из сделок в оптимальные моменты.
Движение кривой индикатора с отрицательных значений в положительные (снизу вверх) для Long и движение кривой с положительных значений в отрицательные (сверху вниз) для Short. А также пересечение центральной линии канала индикатора (значение "0") в одну или в другую сторону. Значения можно наблюдать в строке статуса.
-StochRSI
StochRSI это тип осциллятора импульса, который обычно используется в техническом анализе для прогнозирования движения цен. Как следует из названия, это расширенная форма традиционного индекса относительной силы (RSI), которая предоставляет трейдерам более своевременные сигналы для входа и выхода из рынка.
StochRSI работает по аналогичным принципам, но предназначен для предоставления сигналов, опережающих традиционный RSI. Это достигается за счет более сложного математического моделирования и расчетов, целью которых является выявление изменений в динамике рынка до того, как они произойдут. Он учитывает не только текущее ценовое действие, но также учитывает исторические данные таким образом, чтобы можно было предвидеть изменения в направлениях тренда.
Пример использования StochRSI
StochRSI — это расширенная версия традиционного индекса относительной силы, предлагающая рыночные условия перекупленности или перепроданности.
Волна осциллятора меняет цвет с зеленого на красный. Где зеленый цвет служит приоритетом для позиций Long, а красный цвет приоритетом для позиций Short. Значение в зоне "80" и выше показывают перекупленность актива, а значение в зоне "20" и ниже, показывают перепроданность актива. Значения можно наблюдать в строке статуса.
-Money Flow Index (MFI)
Money Flow Index (MFI) или Индекс денежного потока, — индикатор из группы осцилляторов. Он отражает интенсивность, с которой денежные средства вкладываются в финансовый актив и выводятся из него. По сути, измеряет давление продавцов и покупателей. Осциллятор высчитывает входящие и выходящие денежные потоки.
Money Flow Index помогает трейдерам проанализировать положительные и отрицательные потоки денег и сравнить эти данные с ценой, что в свою очередь позволяет лучше видеть силу тренда и разворотные моменты.
Пример использования Money Flow Index (MFI)
Переход волн из серого цвета в голубой означает, что деньги входят в актив, а наоборот из голубого цвета в серый означает, что деньги из актива выходят. Отсюда следует вывод, что когда деньги входят в актив, он дорожает, а когда деньги выходят из актива, то он дешевеет. Намек на это движение, дает трейдеру дополнительное подтверждение полученного сигнала. Полоса в верхней части индикатора, дублирует движение волн Money Flow Index (MFI) для точности визуализации этих переходов. При этом, когда волна находится в голубом цвете (Long), то приоритетней считаются покупки, а когда волна находится в сером цвете (Short), то приоритетней считаются продажи.
-Trend Score WMA
Индикатор Trend Score WMA - это индикатор использующий взвешенную скользящую среднюю (WMA). При расчете каждой свече присваивается свой вес, который рассчитывается в зависимости от выбранного периода. Индикатор быстро реагирует на изменения рынка. Trend Score WMA хорошо подходит для быстрой торговли в течение дня или нескольких дней.
Кривая индикатора напоминает ломаную линию, направленную вверх или вниз, в зоны голубого цвета (Long) наверху и серого цвета (Short) внизу. Максимальными значениями индикатора являются 83 и -83.
Пример использования Trend Score WMA
Это индикатор направленности тренда. Движение кривой индикатора показывает движение тенденции в реальном времени. Кривая индикатора двигается снизу вверх, от серой зоны Short в голубую зону Long и сверху вниз, от голубой зоны Long до серой зоны Short. Стоит также учесть, что нахождение волны в максимальных значениях зон, как Long так и Short, может означать продолжение более сильных движений тенденции.
-Signals
Indexrate Code В(i), показывает направления движения цены, сломы тренда, зоны перекупленности и перепроданности актива и создает соответствующие сигналы.
Когда волны Momentum пересекаются, волна Difference Momentum пересекает нулевую отметку в строке статуса и центр границы канала (белые линии на индикаторе имеющие значение 60 и -60), появляется сигнал в виде столба соответствующего цвета (голубой - Long, серый - Short), а также появляется крест соответствующего цвета.
Когда Волны Momentum пересекаются и одновременно переходят границу канала в значении 60 или -60, появляется квадрат соответствующего цвета. Это может означать более сильные движения цены.
Если волны Momentum двигаются от высоких пиков к более низким, это тоже служит сигналам к изменению движения цены.
При этом работе с индикатором Indexrate Code В(i), необходимо учитывать совокупность показателей других индикаторов и осцилляторов для подтверждения сигналов индикатора, как показано в их примерах.
Комплект алгоритмов Indexrate Code, подходит консервативным трейдерам, оценивающим свой успех в долгосрочном перспективе, а не в краткосрочной сверх прибыли.
ВАЖНО ЗНАТЬ, что ни один индикатор не способен на 100% предсказать успешную сделку.
Рынок - это совокупность людей. Именно благодаря психологии людей, формирующей силы спроса и предложения, существуют финансовые рынки (Теория Чарльза Доу).
Прогнозирование на основе анализа математических алгоритмов (индикаторов), использует данные прошлых торгов - цену предыдущего периода времени и объем предыдущих торгов. Именно эти два показателя и используются современным техническим анализом.
В основе Комплекта алгоритмов Indexrate Code, лежат алгоритмы оценивающие тенденции, цены и показатели объема. А также психология людей, которая требует оценки точных предшествующих периодов для конкретного таймфрейма, а не оценка всего периода с момента листинга торгового инструмента на конкретной бирже. Так как показатели рынка полностью изменяются на всем торговом периоде и также меняется биржевой объем торгов.
Все обновления Комплекта алгоритмов Indexrate Code, будут бесплатны.
Трейдинг - это торговля на вероятностях. Инвестиции - это торговля на возможностях. Никто не знает будущего - Всегда защищайте свою прибыль.
MACD-RSI Divergence OscillatorMACD-RSI Divergence Oscillator: Dual Confirmation with Momentum + Divergence Signals
This powerful oscillator combines MACD and RSI into a single normalized visual tool, enriched with automatic divergence detection and smart signal alerts. It’s designed to give traders advanced insights into momentum shifts and trend reversals.
Key Features:
• MACD + RSI Combo: Both indicators are scaled and merged into one oscillator for clearer interpretation.
• Automatic Divergence Detection:
• Bullish & Bearish divergences on both MACD and RSI
• Highlights strong divergences when both confirm
• Trading Signals:
• Detects MACD crossovers and RSI reversals
• Smart buy/sell signals based on momentum + divergence
• Custom Oscillator View:
• Plots MACD and RSI on the same scale
• Visual zero-line, overbought/oversold levels, and customizable colors
• Optional Dashboard Table:
• Displays live indicator values, signal states, and divergence status
Ideal For:
• Spotting early trend reversals
• Confirming trade entries/exits
• Avoiding false signals using dual indicator logic
Highly customizable and suitable for all timeframes and asset types.
SExI - Super Exhaustion Indicator [Da_Prof]As we know, the RSI can remain at "overbought" or "oversold" levels for long periods of time while the price continues in that direction. The SExI (Super Exhaustion Indicator) is an indicator designed to help detect exhaustion of strong moves.
The SExI is a combination of the RSI and "upper" Aroon. For the indicator to trigger, the RSI has to be above or below a top/bottom trigger line when the Aroon has had a set number of drives up or down correspondingly. An Aroon top drive is defined as the Aroon hitting 100% on the current candle when the previous candle was below 100%. An Aroon bottom drive is defined as the Aroon hitting 0% on the current candle when the previous candle was above 0%. Consecutive top or bottom drives are counted and exhaustion triggers when these drives hit a setpoint (default is 5 drives = the Aroon exhaustion trigger). When Aroon exhaustion is triggered and the RSI is correspondingly above/below a trigger line, the overall indicator signals exhaustion.
The Aroon drives are visualized at the top and bottom of the indicator. The RSI is plotted as a line that crosses top and bottom trigger lines. There are extreme trigger values for both the bottom and top exhaustion triggers.
This indicator can be used with any asset on any timeframe. It nicely pairs with the Super Strength Indicator (invite-only).
ATR%The time period can be customized, which is suitable for finding short-term high-volatility trading pairs, and may be suitable for finding grid trading.
Smart Price Divergence (MACD Filter) + EMA📌 Purpose
This indicator detects Price Divergences with MACD filtered by a 200 EMA trend condition.
It helps identify high-probability reversal zones aligned with market trend context.
🧠 How It Works
1. MACD Divergence Logic
Bearish Divergence:
Price makes a higher high.
MACD makes a lower high.
Price is above EMA (indicating possible exhaustion in bullish trend).
Bullish Divergence:
Price makes a lower low.
MACD makes a higher low.
Price is below EMA (indicating possible exhaustion in bearish trend).
2. EMA Trend Filter
EMA(200) is used as a directional filter:
Bearish divergences considered above EMA (extended bullish conditions).
Bullish divergences considered below EMA (extended bearish conditions).
3. Visual & Alerts
EMA(200) plotted on chart in orange.
Red triangles for Bearish Divergence.
Green triangles for Bullish Divergence.
Alerts fire for both divergence types.
📈 How to Use
Look for divergence signals as potential reversal alerts.
Combine with support/resistance or price action for confirmation.
EMA ensures signals occur in extended zones, increasing reliability.
Recommended Timeframes: 1h, 4h, D.
Markets: Forex, Crypto, Stocks.
⚙️ Inputs
MACD Fast / Slow / Signal Length
EMA Length (default 200)
⚠️ Disclaimer
This script is for educational purposes only. It does not constitute financial advice.
Always test thoroughly before live trading.
Smart RSI Divergence PRO | Auto Lines + Alerts📌 Purpose
This indicator automatically detects Regular and Hidden RSI Divergences between price action and the RSI oscillator.
It plots divergence lines directly on the chart, labels signals, and includes alerts for automated monitoring.
🧠 How It Works
1. RSI Calculation
RSI is calculated using the selected Source (default: Close) and RSI Length (default: 14).
2. Divergence Detection via Fractals
Swing points on both price and RSI are detected using fractal logic (5-bar patterns).
Regular Divergence:
Bearish: Price forms a higher high, RSI forms a lower high.
Bullish: Price forms a lower low, RSI forms a higher low.
Hidden Divergence:
Bearish: Price forms a lower high, RSI forms a higher high.
Bullish: Price forms a higher low, RSI forms a lower low.
3. Auto Drawing Lines
Lines are drawn automatically between divergence points:
Red = Regular Bearish
Green = Regular Bullish
Orange = Hidden Bearish
Blue = Hidden Bullish
Line width and transparency are adjustable.
4. Labels and Alerts
Labels mark divergence points with up/down arrows.
Alerts trigger for each divergence type.
📈 How to Use
Use Regular Divergences to anticipate trend reversals.
Use Hidden Divergences to confirm trend continuation.
Combine with support/resistance, trendlines, or volume for higher probability setups.
Recommended Timeframes: Works on all timeframes; more reliable on 1h, 4h, and Daily.
Markets: Forex, Crypto, Stocks.
⚙️ Inputs
Source (Close, HL2, etc.)
RSI Length
Toggle Regular / Hidden Divergence visibility
Toggle Lines / Labels
Line Width & Line Transparency
⚠️ Disclaimer
This script is for educational purposes only. It does not constitute financial advice.
Always test thoroughly before using in live trading.
Smart Impulse Exhaustion Finder (ATR + ADX Filter)📌 Purpose
This indicator detects potential exhaustion of strong bullish or bearish impulses at fresh swing highs/lows by combining multiple price action and volatility-based filters.
🧠 How It Works
A signal is triggered only when all core conditions are satisfied:
1. Swing High/Low Detection
Current high (or low) must be the highest (or lowest) over the last Extremum Lookback bars (default: 50).
This ensures the move is significant relative to recent price action.
2. Impulse Confirmation
Price must extend by at least 1 × ATR from the previous swing point.
This filters out minor fluctuations.
3. Exhaustion Conditions (at least 2 out of 3 must be met)
RSI Extreme: RSI > Overbought Level (default: 80) for bearish signals, RSI < Oversold Level (default: 20) for bullish signals.
Volume Spike: Volume > SMA(Volume, Volume SMA Length) × Volume Spike Multiplier.
Candle Wick Rejection: Upper wick ≥ Wick Threshold % for bearish setups, Lower wick ≥ Wick Threshold % for bullish setups.
4. Trend Filter
ADX > ADX Threshold ensures the market is trending and filters out sideways conditions.
5. Candle Body Filter
Candle body must be ≥ Body Size ATR Factor × ATR.
This avoids weak signals from small candles or doji formations.
📈 How to Use
Bearish Signal:
Appears at fresh swing highs with exhaustion conditions met. Useful for tightening stops, taking partial profits, or counter-trend shorts.
Bullish Signal:
Appears at fresh swing lows with exhaustion conditions met. Useful for trailing stops, profit-taking, or counter-trend longs.
Recommended Timeframes: Works best on 1h, 4h, and Daily charts.
Markets: Crypto, Forex, Stocks — wherever volatility and trends are present.
⚙️ Inputs
RSI Length / Overbought / Oversold
Volume SMA Length & Volume Spike Multiplier
Wick Threshold %
Extremum Lookback (bars for highs/lows)
ADX Length & Threshold
Body Size ATR Factor
⚠️ Disclaimer
This script is for educational purposes only and does not constitute financial advice.
Always test thoroughly and apply proper risk management before live trading.
💡 Tip: Combine this tool with your own market context and confluence factors for higher probability setups.
JHW Volume Based Buy and Sell MomentumThe JHW Volume-Based Buy and Sell Momentum indicator is a custom momentum oscillator designed to capture market sentiment based on volume dynamics and price rate of change (ROC). It aims to identify bullish or bearish momentum by analyzing how price reacts to increasing or decreasing trading volume.
Core Logic:
The indicator calculates the Rate of Change (ROC) of the closing price.
It then accumulates this ROC separately based on whether the current volume is lower or higher than the previous bar:
If volume decreases, the ROC is added to a "negative volume index" accumulator.
If volume increases, the ROC is added to a "positive volume index" accumulator.
These two accumulators are combined to form a net momentum line.
Smoothing:
A Simple Moving Average (SMA) is applied to both accumulators over a user-defined period (default: 25 bars).
The sum of these smoothed values forms the signal line.
Visualization:
The indicator plots:
The net momentum line (yellow).
The smoothed signal line (blue).
The area between the two lines is filled with color:
Yellow when momentum is above the signal (bullish).
Blue when momentum is below the signal (bearish).
Bar colors are also adjusted to reflect the current momentum state.
Use Case:
This indicator helps traders:
Detect volume-driven momentum shifts.
Identify potential buy or sell zones based on volume behavior.
Confirm trends or spot early reversals.
XRSI-Momentum IndexThe XRSI Momentum Index is an enhanced, presentation‑ready implementation of the classic Relative Strength Index (RSI) for TradingView.
It retains the mathematical simplicity of J. Welles Wilder’s RSI while adding a modern visual layer and alert framework that makes momentum assessment faster and less error‑prone on intraday as well as swing charts.
Interpretation Guide
Momentum confirmation
RSI above the Neutral (50) → bullish bias; below → bearish bias.
Noise filters
When RSI oscillates only between OB Noise & OS Noise, ignore whipsaw and stay flat or trend‑follow with reduced size.
Reversal scout
A full cross into the OB or OS band (beyond the noise area) followed by a cross back into the Noise band signals early exhaustion.
EMA overlay
• RSI > EMA RSI → momentum acceleration.
• RSI < EMA RSI → momentum cooling.
Combine with price structure (higher‑highs / lower‑lows) for divergence detection.
Quick‑Start
Add to Chart
Indicators → Invite‑only scripts → XRSI Momentum Index (or paste the source into Pine editor).
Tune Zones
For volatile pairs (e.g., GBPJPY), widen OB/OS to 80 / 20.
For range‑bound assets (e.g., EURCHF), tighten to 60 / 40.
Set Alerts
Right‑click indicator → Add alert → choose condition (e.g., “Entry Into Oversold Area”) → route to webhook or app.
Optional EMA Strategy
Overlay price 50/200 EMA on chart; trade only when XRSI and price trend agree.
HBD.warning wave scanningThis indicator is a detailed technical analysis tool designed to track trading splits, identify potential trend reversals, and monitor key price movements in the cryptocurrency markets. Available in multiple versions, these indicators combine various options to help you understand market dynamics. Fibonacci levels automatically change. These are important areas within the orange zone. You can set alarms for these levels. Enjoy the benefits.