UCS_Squeeze_Momentum-Optimized_AlertSqueeze Momentum - Alert Indicator.
Set alerts for as many bars as you like. For reference on how to set alerts, please watch the video from Chris Moody, Link - videos.tradingview.com
Cari dalam skrip untuk "momentum"
MAM-MOM -v1EN :
welcome everyone to MAM-MOM -v1.
MAM-MOM is a momentum indicator with input values shorter than traditional values for momentum.
MAM-MOM can only be used with MAMMON v1. It makes it possible to give strong indications according to the structures that it forms.
W & M.
if you wish to access these indicators, please contact me by private message on my trading view profile, or find in signature or in "about me" my website (currently under construction while this publication is being written).
FR :
bienvenue a tous sur MAM-MOM -v1.
MAM-MOM est un indicateur de momentum avec des valeurs d'entrée plus courte que les valeurs traditionnelles pour un momentum.
MAM-MOM s'utilise uniquement avec MAMMON v1. Il permet de donner des indications fortes suivant les structures que celui-ci forme.
W & M.
si vous souhaitez accéder a ces indicateurs, veuillez me contacter par message privé sur mon profil trading view, ou retrouver en signature ou dans "à propos de moi" mon site web ( actuellement en construction pendant la rédaction de cette publication).
Unbounded RSIIntroducing the concept of "Unbounded RSI".
Instead of indexing the average gain and average loss, over the time period of interest, we leave the average gain and loss unbounded. Instead we "bound" them by difference of each and smoothen out this difference in an envelope using exponential average. See code.
What this does to traditional RSI concept?
No concept of "overbought", "oversold"
No concept of "60-40", "70-30" bands and arguments over it
No concept of "Range Shifts"
...
How to use it?
I am generally a positional long trader. So I present my version. Of course, I expect each individual who decide to use this concept, to come up with their ideas, based on their style and temperament.
The points below, I apply on a Weekly Timeframe Chart.
Once, we see a long consolidation and price breakout, we should be able to see "Green" histogram bars. These appear, once we have the stock at least 20% up from the 52WL and the "Unbounded RSI" has turned positive. This can be a good time to "enter" into the scrip.
The height of the bars are significant, since they essentially show, that the "gap" between the avg. gain and avg. loss is widening, indicating momentum. Swing trading can thrive in these environments I guess.
Falling heights indicate that gaps to close, though, the "gap can still be green". This means, momentum is now falling. Swing traders and "quick buck makers", would ideally book profits here. If the color of the bars still remain "Green" it indicates that momentum has reduced but still the gains are "more" than loss on the timeperiod selected.
Once the histogram turns red, it means that the gain is now lower than loss. An increasing height underground, means this loss is widening. Generally, this will corelate with price action (not necessarily volume).
At this time, exits should be looked for, may be also check other factors/indicators to decide, but surely the momentum and the gain% over the timeperiod selected has now gone.
Note for Pine Coders:
The source code can easily be modified to develop this concept further.
For example:
Use different smoothing algorithms
Remove 52WL condition and introduce new additional conditions
Instead of price change of the stock for gain/loss calculations, we use the concept of Relative Strength (RS, not RSI) and measuere the gain/loss based on a benchmark index . I intend to work on this concept, soon.
You shall see a variable "unboundedRSI" which is actually a ratio of the Avg. Gain / Avg. Loss. This ratio is not plotted. It is kept there, for future use.
Many more
PRICE STREAK [DIGGERDOG]PRICE STREAK
This Pine Script, titled **"PRICE STREAK "**, tracks the number of consecutive up or down price closes and visualizes the result in a histogram-style plot. It provides a visual representation of price momentum by counting the number of consecutive days where the closing price is either higher or lower than the previous day. The histogram changes color depending on whether the streak is upward (green) or downward (red).
Key Features:
1. **Upcount and Dncount Calculation:**
- **Upcount** is incremented each time the current close is higher than the previous close. It resets when the close price decreases.
- **Dncount** is incremented each time the current close is lower than the previous close. It resets when the close price increases.
- The script does not differentiate between upward and downward streak lengths in terms of plotting; it combines them in one cumulative count.
2. **Plot with Color-Coded Streaks:**
- The script plots the sum of **Upcount** and **Dncount** as a histogram, where:
- **Green bars** represent upward price streaks (the price is closing higher).
- **Red bars** represent downward price streaks (the price is closing lower).
3. **Threshold Line:**
- A horizontal line is plotted at a value of **2** as a visual threshold to help identify periods where streaks exceed this value. This can be adjusted as needed to indicate different threshold levels for streak significance.
How It Works:
1. **Price Streak Logic:**
- For each bar, the script compares the closing price to the previous bar's closing price:
- If the current close is greater than the previous close, the **Upcount** is incremented, and **Dncount** is reset.
- If the current close is less than the previous close, the **Dncount** is incremented, and **Upcount** is reset.
- The cumulative count of these streaks is plotted.
2. **Color-Coded Histogram:**
- The histogram uses a dynamic color based on whether the streak is upward or downward:
- **Green** for upward streaks.
- **Red** for downward streaks.
Visualization:
- The histogram will help you easily spot whether there has been a significant price streak, whether upward or downward, and how long the streaks last.
- The threshold line helps in identifying when the streaks are significant by providing a reference point (e.g., streaks greater than 2).
Customizations:
- **Threshold**: You can adjust the value of the horizontal line (`hline(2)`) to any number that suits your strategy.
- **Colors**: The green and red colors can be changed to your preference for visual clarity.
Use Case:
This script is ideal for traders who want to track the **momentum** in price movements. If a stock has several consecutive up days or down days, it may indicate **strong momentum** or **trend exhaustion**, depending on the length of the streak. This indicator can help identify potential trend continuation or reversal points.
If you need additional customizations or have any questions, feel free to ask!
BBboss Stoch Trading SuiteIntroducing the BBboss Stoch Trading Suite
***Note***
This indicator's parameters and settings are specifically used for bitcoin technical analysis.
Best used on the lowest time frame chart. (15m - 1h)
Definitions:
Volatility is a statistical measure of the dispersion of returns for a given security or market index, measured by the standard deviation of logarithmic returns.
Stochastic Oscillator is a momentum indicator comparing a particular closing price of a security to a range of its prices over a certain period of time. The sensitivity of the oscillator to market movements is reducible by adjusting that time period or by taking a moving average of the result. It is used to generate overbought and oversold trading signals, utilizing a 0–100 bounded range of values.
Plotted Components of the Trading Suite:
A) A Table with input selected time frames that show the stochastic and volatility value for each asset.
The first column shows the price needed for the stochastic momentum indicator to reverse or change slope.
The second column plots the stochastic value of the input selected timeframes.
The third column plots the direction of the stochastic oscillator
The fourth column plots the volatility of the selected time frames. 0 being low volatility and 100 being highest volatility with a default lookback period of 255.
B) Ray Lines on price chart to reflecting the price needed for the stochastic momentum indicator to reverse or change slope.
C) Historical Lines on the price chart to see more lines on historical bars
Deeper Concepts :
In finance, “mean reversion” is the assumption that a financial instrument's price will tend to move towards the average price over time.
If we apply that same logic to volatility as represented here by the Bollinger band width percentile, the assumption is that the Bollinger band width percentile will tend to contract from extreme highs, and expand from extreme lows over time corresponding to repeated phases of contraction and expansion of volatility .
It is clear that for most assets there are periods of directional trending behavior followed by periods of “consolidation” ( trading sideways in a range ).
This often ends with a tightening range under reducing volume and volatility ( popularly known as “the squeeze” ).
The squeeze typically ends with a “breakout” from the range characterized by a rapid increase in volume , and volatility when price action again trends directionally, and the cycle repeats.
Note: I have turned off Historical Lines by default because I made this indicator specifically for scalping lower timeframes.
With this indicator, you can visualize the momentum on every timeframe on the table and chart to get a real time view on where to manage your positions.
NLS - 52W High Screener (3, 5, 7 Days)This indicator automatically detects stocks that have reached a new 52-week high within the last 3, 5, or 7 days. Perfect for traders looking for breakouts and strong momentum stocks!
📊 Features:
✅ Identifies new 52-week highs within the last 3, 5, or 7 days
✅ Fully Screener-compatible – Easily filter stocks in the TradingView Screener
✅ Plots the 52-week high as a blue line in the chart for better visualization
✅ Built-in alerts to notify you when a new 52W high is reached
✅ Optimized for the 1D (daily) timeframe
🛠️ How to Use in the Screener:
1️⃣ Add & activate the indicator
2️⃣ Open the TradingView Screener
3️⃣ Filter using one of these columns:
Screener 52W High Last 3 Days
Screener 52W High Last 5 Days
Screener 52W High Last 7 Days
4️⃣ Set the filter to "is true" to see relevant stocks
📢 Alerts:
Get notified when a stock reaches a new 52-week high in the last 3, 5, or 7 days!
🔍 Ideal for:
✔ Trend-following & breakout traders 🚀
✔ Swing traders looking for strong stocks 📈
✔ Screener users searching for momentum setups
MomentumThis indicator will give you the momentum readings (rate of change) for five lookback periods (15m, 60m, 4hr, 24hr, 48hr).
This is useful when backtesting or retroactively logging the readings into your trade journal (there is no way to roll back the Forex Factory momentum screener that I know of).
There are lines drawing in the background which are set to 100% transparency by default, so don't be puzzled when you occasionally see the bubbles for the line plots being highlighted on your chart.
Message me with any questions or suggestions.
MomentumAn indicator that depicts the momentum of a trend. The readings are open to interpretation -- a strong momentum to the upside could allow for short-term long trades, or it could mean to take profits and re-enter when the price has cooled off. Best used for long time frames.
TR Buy/Sell Signal PanelI scripted this with chatgpt have fun guys
📊 TR Buy/Sell Signal Panel – Smart Trade Signals with Visual Clarity
The TR Buy/Sell Signal Panel is a standalone indicator inspired by the powerful Traders Reality (TR) methodology.
It detects potential long and short trade setups using classic market behavior patterns such as volume spikes, EMA crossovers, and session-based timing – all visualized cleanly and statically on your chart.
✅ Key Features
Buy Signals (LONG):
Green PVSRA candle (strong bullish candle with momentum)
EMA13 crossing above EMA50
Volume spike (current volume exceeds 20-period average × multiplier)
Triggered only during London or New York trading sessions (UTC)
Sell Signals (SHORT):
Red PVSRA candle (strong bearish move)
EMA13 crossing below EMA50
Volume spike
Also restricted to active session times
📌 Visual Components
Green/Red arrows on the chart indicate Buy/Sell entries
A static info panel in the bottom-right corner displays all signal conditions:
PVSRA active ✅
Volume Spike ✅
EMA Crossover ✅
Session Time ✅
Last Signal: 🟢 BUY / 🔴 SELL
Current Direction: 🟢 LONG / 🔴 SHORT / ❌ NONE
⚙️ Fully Customizable
Adjustable volume spike multiplier
Optional toggle for showing/hiding short signals
Extremely user-friendly layout – ideal for both beginners & experienced traders
📦 Best For:
Scalpers & Intraday Traders
Traders who follow the Traders Reality / Market Maker Method
Anyone who values clean, rule-based trade entries
Note: Works across all timeframes with sufficient volume (e.g., 5min – 4hr). Sessions are based on UTC time – adjust if needed based on your timezone or trading hours.
Top 5 Power Momentum IndicatorHow I Never Trade Against the Trend
"Today I want to reveal another amazing tool in my arsenal when it comes to intraday trading. Now this is only for intraday time frames and not for swings or anything longer than few minutes to few hours ."
from Tic Tock Trading Substack
credit to Vincente
SpartanThe Spartan Strategy.
This is a momentum strategy which attempts to identify when buying pressure or selling pressure is present in the markets.
How to trade the long side:
Once a blue candle appears, enter Long on pullbacks into a blue candle for longs
Place your stop loss on the opposite side of the blue candle.
Target a previous high for longs
How to trade the short side:
Once a red candle appears, enter Short on pullbacks into a red candle for shorts
Place your stop on the opposite side of the red candle.
Target a previous low for shorts
TriTrend Nexus[BullByte]TriTrend Nexus is a comprehensive market analysis tool that consolidates three well-established signals into a single, easy-to-read interface. It is designed to help traders quickly assess the market’s current condition and make more informed decisions about potential trend shifts.
Key Features and Functionality
Composite Signal System
Multi-Faceted Approach :
The indicator combines insights from three distinct market signals into one composite score. This approach provides a more holistic view of market conditions compared to relying on a single indicator.
Clear Classification :
Based on the composite score, TriTrend Nexus categorizes the market into:
Strong Signals : When all three underlying conditions are met, indicating a robust and established trend.
Early Signals : When two out of the three conditions are met, offering an early hint of a potential trend.
Neutral/Choppy : When conditions are ambiguous or conflicting, suggesting a lack of clear market direction.
Trend Qualifiers :
In addition to the composite score, the indicator subtly refines its signal by noting whether a trend is “Rising” or “Fading.” This further aids traders in understanding the momentum behind the signal.
Dynamic Signal Identification
Timely Alerts :
By analyzing the composite data in real time, the indicator quickly identifies when market conditions shift, offering early warning signals that help traders stay ahead of the market.
Adaptive Analysis :
The built-in signal assessment continuously monitors market changes. Whether the market is in the early stages of a move or firmly committed to a trend, TriTrend Nexus adapts its messaging to reflect the evolving conditions.
User-Friendly Dashboard
Integrated Display :
A customizable dashboard provides an at-a-glance summary of key metrics. Users can choose between a detailed view for comprehensive insights or a compact version for a streamlined experience.
Key Metrics Displayed :
Primary Signal : The overall market status, such as “Bullish Strong” or “Bearish Early.”
Composite Nexus Score : A numerical value representing the strength of the current market conditions.
Supporting Data : Essential values that help explain the current signal without overwhelming the trader.
Easy Interpretation :
The dashboard is designed with clarity in mind. Clear labeling and a consistent layout ensure that even traders new to composite indicators can quickly interpret the displayed information.
Visual Clarity and Aesthetic
Color-Coded Signals :
The indicator uses a vibrant color scheme to highlight market conditions:
Bright Green : Signifies a strong bullish trend.
Light Green : Indicates an emerging bullish trend.
Red : Represents a strong bearish trend.
Light Red/Pink : Denotes an early bearish signal.
Gray : Used when market conditions are neutral or choppy.
Graphical Enhancements :
The plotted oscillator visually reinforces the signal classifications with dynamic color transitions. Horizontal markers provide reference points to help traders easily compare the current readings against standard levels.
Customization Options
Adjustable Settings :
Traders can personalize the indicator by modifying input settings such as sensitivity thresholds and period lengths. This flexibility allows the tool to adapt to different market environments and trading styles.
Dashboard Flexibility :
The option to toggle between a full dashboard and a shorter version means that both novice and experienced traders can configure the display to best suit their needs. A more detailed dashboard offers extensive insights, while the compact mode provides a minimalist view for those who prefer simplicity.
Tailored User Experience :
With multiple adjustable parameters, users can fine-tune the indicator to respond precisely to their preferred timeframes and market conditions. This adaptability makes TriTrend Nexus a versatile tool for various trading strategies.
Benefits for Traders
Quick and Informed Decision-Making :
With a single glance at the dashboard and visual cues from the oscillator, traders can quickly gauge whether the market is poised for a strong move, is in the early stages of a trend, or is too volatile for clear signals. This helps in planning timely entries and exits.
Enhanced Market Insight :
By integrating multiple perspectives into one coherent score, the indicator filters out market noise and highlights the prevailing trend more reliably. This can be particularly useful during periods of market uncertainty.
Reduced Analysis Time:
The combination of clear, color-coded signals and an intuitive dashboard reduces the time spent analyzing various individual indicators, allowing traders to focus more on strategy execution.
Customization for Diverse Strategies :
The ability to adjust various input parameters and the dashboard layout ensures that traders can tailor the tool to fit their unique analysis style and market conditions, making it a versatile addition to any trading toolkit.
User-Friendly Interface :
Even for those who are not technically inclined, the clear visual design and straightforward signal descriptions make it easy to understand the current market situation without needing to interpret complex data.
Trend Gauge [BullByte]Trend Gauge
Summary
A multi-factor trend detection indicator that aggregates EMA alignment, VWMA momentum scaling, volume spikes, ATR breakout strength, higher-timeframe confirmation, ADX-based regime filtering, and RSI pivot-divergence penalty into one normalized trend score. It also provides a confidence meter, a Δ Score momentum histogram, divergence highlights, and a compact, scalable dashboard for at-a-glance status.
________________________________________
## 1. Purpose of the Indicator
Why this was built
Traders often monitor several indicators in parallel - EMAs, volume signals, volatility breakouts, higher-timeframe trends, ADX readings, divergence alerts, etc., which can be cumbersome and sometimes contradictory. The “Trend Gauge” indicator was created to consolidate these complementary checks into a single, normalized score that reflects the prevailing market bias (bullish, bearish, or neutral) and its strength. By combining multiple inputs with an adaptive regime filter, scaling contributions by magnitude, and penalizing weakening signals (divergence), this tool aims to reduce noise, highlight genuine trend opportunities, and warn when momentum fades.
Key Design Goals
Signal Aggregation
Merged trend-following signals (EMA crossover, ATR breakout, higher-timeframe confirmation) and momentum signals (VWMA thrust, volume spikes) into a unified score that reflects directional bias more holistically.
Market Regime Awareness
Implemented an ADX-style filter to distinguish between trending and ranging markets, reducing the influence of trend signals during sideways phases to avoid false breakouts.
Magnitude-Based Scaling
Replaced binary contributions with scaled inputs: VWMA thrust and ATR breakout are weighted relative to recent averages, allowing for more nuanced score adjustments based on signal strength.
Momentum Divergence Penalty
Integrated pivot-based RSI divergence detection to slightly reduce the overall score when early signs of momentum weakening are detected, improving risk-awareness in entries.
Confidence Transparency
Added a live confidence metric that shows what percentage of enabled sub-indicators currently agree with the overall bias, making the scoring system more interpretable.
Momentum Acceleration Visualization
Plotted the change in score (Δ Score) as a histogram bar-to-bar, highlighting whether momentum is increasing, flattening, or reversing, aiding in more timely decision-making.
Compact Informational Dashboard
Presented a clean, scalable dashboard that displays each component’s status, the final score, confidence %, detected regime (Trending/Ranging), and a labeled strength gauge for quick visual assessment.
________________________________________
## 2. Why a Trader Should Use It
Main benefits and use cases
1. Unified View: Rather than juggling multiple windows or panels, this indicator delivers a single score synthesizing diverse signals.
2. Regime Filtering: In ranging markets, trend signals often generate false entries. The ADX-based regime filter automatically down-weights trend-following components, helping you avoid chasing false breakouts.
3. Nuanced Momentum & Volatility: VWMA and ATR breakout contributions are normalized by recent averages, so strong moves register strongly while smaller fluctuations are de-emphasized.
4. Early Warning of Weakening: Pivot-based RSI divergence is detected and used to slightly reduce the score when price/momentum diverges, giving a cautionary signal before a full reversal.
5. Confidence Meter: See at a glance how many sub-indicators align with the aggregated bias (e.g., “80% confidence” means 4 out of 5 components agree ). This transparency avoids black-box decisions.
6. Trend Acceleration/Deceleration View: The Δ Score histogram visualizes whether the aggregated score is rising (accelerating trend) or falling (momentum fading), supplementing the main oscillator.
7. Compact Dashboard: A corner table lists each check’s status (“Bull”, “Bear”, “Flat” or “Disabled”), plus overall Score, Confidence %, Regime, Trend Strength label, and a gauge bar. Users can scale text size (Normal, Small, Tiny) without removing elements, so the full picture remains visible even in compact layouts.
8. Customizable & Transparent: All components can be enabled/disabled and parameterized (lengths, thresholds, weights). The full Pine code is open and well-commented, letting users inspect or adapt the logic.
9. Alert-ready: Built-in alert conditions fire when the score crosses weak thresholds to bullish/bearish or returns to neutral, enabling timely notifications.
________________________________________
## 3. Component Rationale (“Why These Specific Indicators?”)
Each sub-component was chosen because it adds complementary information about trend or momentum:
1. EMA Cross
o Basic trend measure: compares a faster EMA vs. a slower EMA. Quickly reflects trend shifts but by itself can whipsaw in sideways markets.
2. VWMA Momentum
o Volume-weighted moving average change indicates momentum with volume context. By normalizing (dividing by a recent average absolute change), we capture the strength of momentum relative to recent history. This scaling prevents tiny moves from dominating and highlights genuinely strong momentum.
3. Volume Spikes
o Sudden jumps in volume combined with price movement often accompany stronger moves or reversals. A binary detection (+1 for bullish spike, -1 for bearish spike) flags high-conviction bars.
4. ATR Breakout
o Detects price breaking beyond recent highs/lows by a multiple of ATR. Measures breakout strength by how far beyond the threshold price moves relative to ATR, capped to avoid extreme outliers. This gives a volatility-contextual trend signal.
5. Higher-Timeframe EMA Alignment
o Confirms whether the shorter-term trend aligns with a higher timeframe trend. Uses request.security with lookahead_off to avoid future data. When multiple timeframes agree, confidence in direction increases.
6. ADX Regime Filter (Manual Calculation)
o Computes directional movement (+DM/–DM), smoothes via RMA, computes DI+ and DI–, then a DX and ADX-like value. If ADX ≥ threshold, market is “Trending” and trend components carry full weight; if ADX < threshold, “Ranging” mode applies a configurable weight multiplier (e.g., 0.5) to trend-based contributions, reducing false signals in sideways conditions. Volume spikes remain binary (optional behavior; can be adjusted if desired).
7. RSI Pivot-Divergence Penalty
o Uses ta.pivothigh / ta.pivotlow with a lookback to detect pivot highs/lows on price and corresponding RSI values. When price makes a higher high but RSI makes a lower high (bearish divergence), or price makes a lower low but RSI makes a higher low (bullish divergence), a divergence signal is set. Rather than flipping the trend outright, the indicator subtracts (or adds) a small penalty (configurable) from the aggregated score if it would weaken the current bias. This subtle adjustment warns of weakening momentum without overreacting to noise.
8. Confidence Meter
o Counts how many enabled components currently agree in direction with the aggregated score (i.e., component sign × score sign > 0). Displays this as a percentage. A high percentage indicates strong corroboration; a low percentage warns of mixed signals.
9. Δ Score Momentum View
o Plots the bar-to-bar change in the aggregated score (delta_score = score - score ) as a histogram. When positive, bars are drawn in green above zero; when negative, bars are drawn in red below zero. This reveals acceleration (rising Δ) or deceleration (falling Δ), supplementing the main oscillator.
10. Dashboard
• A table in the indicator pane’s top-right with 11 rows:
1. EMA Cross status
2. VWMA Momentum status
3. Volume Spike status
4. ATR Breakout status
5. Higher-Timeframe Trend status
6. Score (numeric)
7. Confidence %
8. Regime (“Trending” or “Ranging”)
9. Trend Strength label (e.g., “Weak Bullish Trend”, “Strong Bearish Trend”)
10. Gauge bar visually representing score magnitude
• All rows always present; size_opt (Normal, Small, Tiny) only changes text size via text_size, not which elements appear. This ensures full transparency.
________________________________________
## 4. What Makes This Indicator Stand Out
• Regime-Weighted Multi-Factor Score: Trend and momentum signals are adaptively weighted by market regime (trending vs. ranging) , reducing false signals.
• Magnitude Scaling: VWMA and ATR breakout contributions are normalized by recent average momentum or ATR, giving finer gradation compared to simple ±1.
• Integrated Divergence Penalty: Divergence directly adjusts the aggregated score rather than appearing as a separate subplot; this influences alerts and trend labeling in real time.
• Confidence Meter: Shows the percentage of sub-signals in agreement, providing transparency and preventing blind trust in a single metric.
• Δ Score Histogram Momentum View: A histogram highlights acceleration or deceleration of the aggregated trend score, helping detect shifts early.
• Flexible Dashboard: Always-visible component statuses and summary metrics in one place; text size scaling keeps the full picture available in cramped layouts.
• Lookahead-Safe HTF Confirmation: Uses lookahead_off so no future data is accessed from higher timeframes, avoiding repaint bias.
• Repaint Transparency: Divergence detection uses pivot functions that inherently confirm only after lookback bars; description documents this lag so users understand how and when divergence labels appear.
• Open-Source & Educational: Full, well-commented Pine v6 code is provided; users can learn from its structure: manual ADX computation, conditional plotting with series = show ? value : na, efficient use of table.new in barstate.islast, and grouped inputs with tooltips.
• Compliance-Conscious: All plots have descriptive titles; inputs use clear names; no unnamed generic “Plot” entries; manual ADX uses RMA; all request.security calls use lookahead_off. Code comments mention repaint behavior and limitations.
________________________________________
## 5. Recommended Timeframes & Tuning
• Any Timeframe: The indicator works on small (e.g., 1m) to large (daily, weekly) timeframes. However:
o On very low timeframes (<1m or tick charts), noise may produce frequent whipsaws. Consider increasing smoothing lengths, disabling certain components (e.g., volume spike if volume data noisy), or using a larger pivot lookback for divergence.
o On higher timeframes (daily, weekly), consider longer lookbacks for ATR breakout or divergence, and set Higher-Timeframe trend appropriately (e.g., 4H HTF when on 5 Min chart).
• Defaults & Experimentation: Default input values are chosen to be balanced for many liquid markets. Users should test with replay or historical analysis on their symbol/timeframe and adjust:
o ADX threshold (e.g., 20–30) based on instrument volatility.
o VWMA and ATR scaling lengths to match average volatility cycles.
o Pivot lookback for divergence: shorter for faster markets, longer for slower ones.
• Combining with Other Analysis: Use in conjunction with price action, support/resistance, candlestick patterns, order flow, or other tools as desired. The aggregated score and alerts can guide attention but should not be the sole decision-factor.
________________________________________
## 6. How Scoring and Logic Works (Step-by-Step)
1. Compute Sub-Scores
o EMA Cross: Evaluate fast EMA > slow EMA ? +1 : fast EMA < slow EMA ? -1 : 0.
o VWMA Momentum: Calculate vwma = ta.vwma(close, length), then vwma_mom = vwma - vwma . Normalize: divide by recent average absolute momentum (e.g., ta.sma(abs(vwma_mom), lookback)), clip to .
o Volume Spike: Compute vol_SMA = ta.sma(volume, len). If volume > vol_SMA * multiplier AND price moved up ≥ threshold%, assign +1; if moved down ≥ threshold%, assign -1; else 0.
o ATR Breakout: Determine recent high/low over lookback. If close > high + ATR*mult, compute distance = close - (high + ATR*mult), normalize by ATR, cap at a configured maximum. Assign positive contribution. Similarly for bearish breakout below low.
o Higher-Timeframe Trend: Use request.security(..., lookahead=barmerge.lookahead_off) to fetch HTF EMAs; assign +1 or -1 based on alignment.
2. ADX Regime Weighting
o Compute manual ADX: directional movements (+DM, –DM), smoothed via RMA, DI+ and DI–, then DX and ADX via RMA. If ADX ≥ threshold, market is considered “Trending”; otherwise “Ranging.”
o If trending, trend-based contributions (EMA, VWMA, ATR, HTF) use full weight = 1.0. If ranging, use weight = ranging_weight (e.g., 0.5) to down-weight them. Volume spike stays binary ±1 (optional to change if desired).
3. Aggregate Raw Score
o Sum weighted contributions of all enabled components. Count the number of enabled components; if zero, default count = 1 to avoid division by zero.
4. Divergence Penalty
o Detect pivot highs/lows on price and corresponding RSI values, using a lookback. When price and RSI diverge (bearish or bullish divergence), check if current raw score is in the opposing direction:
If bearish divergence (price higher high, RSI lower high) and raw score currently positive, subtract a penalty (e.g., 0.5).
If bullish divergence (price lower low, RSI higher low) and raw score currently negative, add a penalty.
o This reduces score magnitude to reflect weakening momentum, without flipping the trend outright.
5. Normalize and Smooth
o Normalized score = (raw_score / number_of_enabled_components) * 100. This yields a roughly range.
o Optional EMA smoothing of this normalized score to reduce noise.
6. Interpretation
o Sign: >0 = net bullish bias; <0 = net bearish bias; near zero = neutral.
o Magnitude Zones: Compare |score| to thresholds (Weak, Medium, Strong) to label trend strength (e.g., “Weak Bullish Trend”, “Medium Bearish Trend”, “Strong Bullish Trend”).
o Δ Score Histogram: The histogram bars from zero show change from previous bar’s score; positive bars indicate acceleration, negative bars indicate deceleration.
o Confidence: Percentage of sub-indicators aligned with the score’s sign.
o Regime: Indicates whether trend-based signals are fully weighted or down-weighted.
________________________________________
## 7. Oscillator Plot & Visualization: How to Read It
Main Score Line & Area
The oscillator plots the aggregated score as a line, with colored fill: green above zero for bullish area, red below zero for bearish area. Horizontal reference lines at ±Weak, ±Medium, and ±Strong thresholds mark zones: crossing above +Weak suggests beginning of bullish bias, above +Medium for moderate strength, above +Strong for strong trend; similarly for bearish below negative thresholds.
Δ Score Histogram
If enabled, a histogram shows score - score . When positive, bars appear in green above zero, indicating accelerating bullish momentum; when negative, bars appear in red below zero, indicating decelerating or reversing momentum. The height of each bar reflects the magnitude of change in the aggregated score from the prior bar.
Divergence Highlight Fill
If enabled, when a pivot-based divergence is confirmed:
• Bullish Divergence : fill the area below zero down to –Weak threshold in green, signaling potential reversal from bearish to bullish.
• Bearish Divergence : fill the area above zero up to +Weak threshold in red, signaling potential reversal from bullish to bearish.
These fills appear with a lag equal to pivot lookback (the number of bars needed to confirm the pivot). They do not repaint after confirmation, but users must understand this lag.
Trend Direction Label
When score crosses above or below the Weak threshold, a small label appears near the score line reading “Bullish” or “Bearish.” If the score returns within ±Weak, the label “Neutral” appears. This helps quickly identify shifts at the moment they occur.
Dashboard Panel
In the indicator pane’s top-right, a table shows:
1. EMA Cross status: “Bull”, “Bear”, “Flat”, or “Disabled”
2. VWMA Momentum status: similarly
3. Volume Spike status: “Bull”, “Bear”, “No”, or “Disabled”
4. ATR Breakout status: “Bull”, “Bear”, “No”, or “Disabled”
5. Higher-Timeframe Trend status: “Bull”, “Bear”, “Flat”, or “Disabled”
6. Score: numeric value (rounded)
7. Confidence: e.g., “80%” (colored: green for high, amber for medium, red for low)
8. Regime: “Trending” or “Ranging” (colored accordingly)
9. Trend Strength: textual label based on magnitude (e.g., “Medium Bullish Trend”)
10. Gauge: a bar of blocks representing |score|/100
All rows remain visible at all times; changing Dashboard Size only scales text size (Normal, Small, Tiny).
________________________________________
## 8. Example Usage (Illustrative Scenario)
Example: BTCUSD 5 Min
1. Setup: Add “Trend Gauge ” to your BTCUSD 5 Min chart. Defaults: EMAs (8/21), VWMA 14 with lookback 3, volume spike settings, ATR breakout 14/5, HTF = 5m (or adjust to 4H if preferred), ADX threshold 25, ranging weight 0.5, divergence RSI length 14 pivot lookback 5, penalty 0.5, smoothing length 3, thresholds Weak=20, Medium=50, Strong=80. Dashboard Size = Small.
2. Trend Onset: At some point, price breaks above recent high by ATR multiple, volume spikes upward, faster EMA crosses above slower EMA, HTF EMA also bullish, and ADX (manual) ≥ threshold → aggregated score rises above +20 (Weak threshold) into +Medium zone. Dashboard shows “Bull” for EMA, VWMA, Vol Spike, ATR, HTF; Score ~+60–+70; Confidence ~100%; Regime “Trending”; Trend Strength “Medium Bullish Trend”; Gauge ~6–7 blocks. Δ Score histogram bars are green and rising, indicating accelerating bullish momentum. Trader notes the alignment.
3. Divergence Warning: Later, price makes a slightly higher high but RSI fails to confirm (lower RSI high). Pivot lookback completes; the indicator highlights a bearish divergence fill above zero and subtracts a small penalty from the score, causing score to stall or retrace slightly. Dashboard still bullish but score dips toward +Weak. This warns the trader to tighten stops or take partial profits.
4. Trend Weakens: Score eventually crosses below +Weak back into neutral; a “Neutral” label appears, and a “Neutral Trend” alert fires if enabled. Trader exits or avoids new long entries. If score subsequently crosses below –Weak, a “Bearish” label and alert occur.
5. Customization: If the trader finds VWMA noise too frequent on this instrument, they may disable VWMA or increase lookback. If ATR breakouts are too rare, adjust ATR length or multiplier. If ADX threshold seems off, tune threshold. All these adjustments are explained in Inputs section.
6. Visualization: The screenshot shows the main score oscillator with colored areas, reference lines at ±20/50/80, Δ Score histogram bars below/above zero, divergence fill highlighting potential reversal, and the dashboard table in the top-right.
________________________________________
## 9. Inputs Explanation
A concise yet clear summary of inputs helps users understand and adjust:
1. General Settings
• Theme (Dark/Light): Choose background-appropriate colors for the indicator pane.
• Dashboard Size (Normal/Small/Tiny): Scales text size only; all dashboard elements remain visible.
2. Indicator Settings
• Enable EMA Cross: Toggle on/off basic EMA alignment check.
o Fast EMA Length and Slow EMA Length: Periods for EMAs.
• Enable VWMA Momentum: Toggle VWMA momentum check.
o VWMA Length: Period for VWMA.
o VWMA Momentum Lookback: Bars to compare VWMA to measure momentum.
• Enable Volume Spike: Toggle volume spike detection.
o Volume SMA Length: Period to compute average volume.
o Volume Spike Multiplier: How many times above average volume qualifies as spike.
o Min Price Move (%): Minimum percent change in price during spike to qualify as bullish or bearish.
• Enable ATR Breakout: Toggle ATR breakout detection.
o ATR Length: Period for ATR.
o Breakout Lookback: Bars to look back for recent highs/lows.
o ATR Multiplier: Multiplier for breakout threshold.
• Enable Higher Timeframe Trend: Toggle HTF EMA alignment.
o Higher Timeframe: E.g., “5” for 5-minute when on 1-minute chart, or “60” for 5 Min when on 15m, etc. Uses lookahead_off.
• Enable ADX Regime Filter: Toggles regime-based weighting.
o ADX Length: Period for manual ADX calculation.
o ADX Threshold: Value above which market considered trending.
o Ranging Weight Multiplier: Weight applied to trend components when ADX < threshold (e.g., 0.5).
• Scale VWMA Momentum: Toggle normalization of VWMA momentum magnitude.
o VWMA Mom Scale Lookback: Period for average absolute VWMA momentum.
• Scale ATR Breakout Strength: Toggle normalization of breakout distance by ATR.
o ATR Scale Cap: Maximum multiple of ATR used for breakout strength.
• Enable Price-RSI Divergence: Toggle divergence detection.
o RSI Length for Divergence: Period for RSI.
o Pivot Lookback for Divergence: Bars on each side to identify pivot high/low.
o Divergence Penalty: Amount to subtract/add to score when divergence detected (e.g., 0.5).
3. Score Settings
• Smooth Score: Toggle EMA smoothing of normalized score.
• Score Smoothing Length: Period for smoothing EMA.
• Weak Threshold: Absolute score value under which trend is considered weak or neutral.
• Medium Threshold: Score above Weak but below Medium is moderate.
• Strong Threshold: Score above this indicates strong trend.
4. Visualization Settings
• Show Δ Score Histogram: Toggle display of the bar-to-bar change in score as a histogram. Default true.
• Show Divergence Fill: Toggle background fill highlighting confirmed divergences. Default true.
Each input has a tooltip in the code.
________________________________________
## 10. Limitations, Repaint Notes, and Disclaimers
10.1. Repaint & Lag Considerations
• Pivot-Based Divergence Lag: The divergence detection uses ta.pivothigh / ta.pivotlow with a specified lookback. By design, a pivot is only confirmed after the lookback number of bars. As a result:
o Divergence labels or fills appear with a delay equal to the pivot lookback.
o Once the pivot is confirmed and the divergence is detected, the fill/label does not repaint thereafter, but you must understand and accept this lag.
o Users should not treat divergence highlights as predictive signals without additional confirmation, because they appear after the pivot has fully formed.
• Higher-Timeframe EMA Alignment: Uses request.security(..., lookahead=barmerge.lookahead_off), so no future data from the higher timeframe is used. This avoids lookahead bias and ensures signals are based only on completed higher-timeframe bars.
• No Future Data: All calculations are designed to avoid using future information. For example, manual ADX uses RMA on past data; security calls use lookahead_off.
10.2. Market & Noise Considerations
• In very choppy or low-liquidity markets, some components (e.g., volume spikes or VWMA momentum) may be noisy. Users can disable or adjust those components’ parameters.
• On extremely low timeframes, noise may dominate; consider smoothing lengths or disabling certain features.
• On very high timeframes, pivots and breakouts occur less frequently; adjust lookbacks accordingly to avoid sparse signals.
10.3. Not a Standalone Trading System
• This is an indicator, not a complete trading strategy. It provides signals and context but does not manage entries, exits, position sizing, or risk management.
• Users must combine it with their own analysis, money management, and confirmations (e.g., price patterns, support/resistance, fundamental context).
• No guarantees: past behavior does not guarantee future performance.
10.4. Disclaimers
• Educational Purposes Only: The script is provided as-is for educational and informational purposes. It does not constitute financial, investment, or trading advice.
• Use at Your Own Risk: Trading involves risk of loss. Users should thoroughly test and use proper risk management.
• No Guarantees: The author is not responsible for trading outcomes based on this indicator.
• License: Published under Mozilla Public License 2.0; code is open for viewing and modification under MPL terms.
________________________________________
## 11. Alerts
• The indicator defines three alert conditions:
1. Bullish Trend: when the aggregated score crosses above the Weak threshold.
2. Bearish Trend: when the score crosses below the negative Weak threshold.
3. Neutral Trend: when the score returns within ±Weak after being outside.
Good luck
– BullByte
TechniTrendMasterIntroducing "TechniTrendMaster"
The TechniTrendMaster indicator is designed to bring clarity and depth to your trading strategy. This indicator combines robust trend analysis with volume insights, giving you a comprehensive view of the market’s pulse. Let's break down the features.
🔵 Analysis Mode
TechniTrendMaster's Analysis Mode provides various configurations tailored to specific market behaviors. Here are the options you can utilize:
🔹Strong Movements: Focuses on powerful market shifts, ideal for capturing major trend changes and high-momentum moves. Perfect for identifying strong breakout opportunities.
🔹Reversal: Detects potential turning points in the market, signaling when a trend might be about to change direction, allowing for well-timed entries and exits.
🔹Consolidations: Spots periods of low volatility where the market moves sideways, helping you avoid trading traps and anticipate breakout scenarios.
🔹Momentum-Driven: Prioritizes momentum in the market, identifying when the force behind price movement is accelerating or decelerating.
🔹Balanced: Offers a well-rounded view of the market by weighing both trend direction and volume equally, making it suitable for stable market conditions.
🔹Volatility Adapted: Adjusts to periods of increased or decreased volatility, providing accurate signals regardless of market conditions.
🔹Trend Confirmation: Confirms the strength and sustainability of a trend, allowing traders to enter trades with higher confidence.
🔹Short-Term Scalping: Tailored for traders who focus on Short-Term and Scalp trades, offering rapid insights for intraday or short-term trading strategies.
🔵 Trend Analysis Mode
The Trend Analysis Mode allows you to customize how trends are detected and analyzed:
🔹Default: A balanced mode for general use, offering reliable trend identification across different market conditions.
🔹Aggressive: A more sensitive setting that reacts quickly to market changes, ideal for traders looking to capitalize on smaller, quicker movements.
🔹Conservative: Takes a cautious approach, favoring long-term stability over short-term fluctuations, perfect for risk-averse traders.
🔹Volatility Aware: Focuses on adapting to volatility shifts, giving accurate trend signals even in erratic markets.
🔹Range Bound: Targets horizontal price movements and channel trades, helping traders take advantage of well-defined ranges.
🔵 Divergence
Divergence is a powerful tool within TechniTrendMaster, highlighting discrepancies between price movement and underlying volume. These differences can indicate potential reversals or trend continuations before they are visible on price charts alone.
🔵 Hidden Divergence
Hidden divergence is a subtle yet crucial signal that reveals when an existing trend might resume after a temporary correction. This mode provides early detection of trend continuity opportunities, giving traders a significant advantage in timing.
🔵 Divergence Mode
TechniTrendMaster includes different divergence detection settings to suit your analysis style:
🔹Standard: Captures typical divergence patterns for general analysis.
🔹Short-Term Focused: Concentrates on short-lived divergences, offering rapid detection of shifts for active traders.
🔹Long-Term Analysis: Highlights divergence in a broader context, which is better for understanding the overall market direction.
🔹High Sensitivity: Prioritizes capturing even the smallest shifts in the market, making it excellent for high-frequency trading or volatile environments.
🔹Low Sensitivity: Reduces market noise, only reacting to more significant changes in trend or volume. It’s perfect for traders who seek higher accuracy with fewer false signals.
🔵 Dynamic Channel
TechniTrendMaster features a Dynamic Channel, that automatically adapts to market conditions. This channel provides a visual guide to price action, adjusting in real-time based on current trends and volatility. It identifies key support and resistance zones, making it easier to spot breakouts, trend continuations, or potential reversals.
🔵 Volume Integration
Volume is a critical part of TechniTrendMaster, offering deeper insights beyond just price movement. By analyzing volume patterns alongside trends, the indicator highlights the strength and reliability of market shifts. This integration ensures that traders can distinguish between genuine movements backed by solid volume and weak trends that might not hold.
🔵 A Solution for All Trading Styles
TechniTrendMaster’s strength lies in its versatility. No matter your trading approach—be it scalping, swing trading, trend following, or range trading—this indicator adapts to your needs. Here's how it caters to different trader profiles:
🔹Scalpers get precise, quick-response insights through the Short-Term Scalping and High Sensitivity settings, helping them capture minute price movements.
🔹Swing Traders benefit from modes like Reversal, Balanced, and Momentum-Driven, which focus on identifying trends and shifts that occur over several days.
🔹Long-Term Investors will find the Conservative, Low Sensitivity, and Long-Term Analysis modes ideal for filtering noise and sticking to broader market trends.
🔹Volatility Traders can rely on the Volatility Adapted and Volatility Aware options to get accurate signals even during unpredictable periods.
🔓 Unlock Access :
Check out the Author's Instructions or Dm me to Unlock the Access.
Parameter Free RSI [InvestorUnknown]The Parameter Free RSI (PF-RSI) is an innovative adaptation of the traditional Relative Strength Index (RSI), a widely used momentum oscillator that measures the speed and change of price movements. Unlike the standard RSI, which relies on a fixed lookback period (typically 14), the PF-RSI dynamically adjusts its calculation length based on real-time market conditions. By incorporating volatility and the RSI's deviation from its midpoint (50), this indicator aims to provide a more responsive and adaptable tool for identifying overbought/oversold conditions, trend shifts, and momentum changes. This adaptability makes it particularly valuable for traders navigating diverse market environments, from trending to ranging conditions.
PF-RSI offers a suite of customizable features, including dynamic length variants, smoothing options, visualization tools, and alert conditions.
Key Features
1. Dynamic RSI Length Calculation
The cornerstone of the PF-RSI is its ability to adjust the RSI calculation period dynamically, eliminating the need for a static parameter. The length is computed using two primary factors:
Volatility: Measured via the standard deviation of past RSI values.
Distance from Midpoint: The absolute deviation of the RSI from 50, reflecting the strength of bullish or bearish momentum.
The indicator offers three variants for calculating this dynamic length, allowing users to tailor its responsiveness:
Variant I (Aggressive): Increases the length dramatically based on volatility and a nonlinear scaling of the distance from 50. Ideal for traders seeking highly sensitive signals in fast-moving markets.
Variant II (Moderate): Combines volatility with a scaled distance from 50, using a less aggressive adjustment. Strikes a balance between responsiveness and stability, suitable for most trading scenarios.
Variant III (Conservative): Applies a linear combination of volatility and raw distance from 50. Offers a stable, less reactive length adjustment for traders prioritizing consistency.
// Function that returns a dynamic RSI length based on past RSI values
// The idea is to make the RSI length adaptive using volatility (stdev) and distance from the RSI midpoint (50)
// Different "variant" options control how aggressively the length changes
parameter_free_length(free_rsi, variant) =>
len = switch variant
// Variant I: Most aggressive adaptation
// Uses standard deviation scaled by a nonlinear factor of distance from 50
// Also adds another distance-based term to increase length more dramatically
"I" => math.ceil(
ta.stdev(free_rsi, math.ceil(free_rsi)) *
math.pow(1 + (math.ceil(math.abs(50 - (free_rsi - 50))) / 100), 2)
) +
(
math.ceil(math.abs(free_rsi - 50)) *
(1 + (math.ceil(math.abs(50 - (free_rsi - 50))) / 100))
)
// Variant II: Moderate adaptation
// Adds the standard deviation and a distance-based scaling term (less nonlinear)
"II" => math.ceil(
ta.stdev(free_rsi, math.ceil(free_rsi)) +
(
math.ceil(math.abs(free_rsi - 50)) *
(1 + (math.ceil(math.abs(50 - (free_rsi - 50))) / 100))
)
)
// Variant III: Least aggressive adaptation
// Simply adds standard deviation and raw distance from 50 (linear scaling)
"III" => math.ceil(
ta.stdev(free_rsi, math.ceil(free_rsi)) +
math.ceil(math.abs(free_rsi - 50))
)
2. Smoothing Options
To refine the dynamic RSI and reduce noise, the PF-RSI provides smoothing capabilities:
Smoothing Toggle: Enable or disable smoothing of the dynamic length used for RSI.
Smoothing MA Type for RSI MA: Choose between SMA and EMA
Smoothing Length Options for RSI MA:
Full: Uses the entire calculated dynamic length.
Half: Applies half of the dynamic length for smoother output.
SQRT: Uses the square root of the dynamic length, offering a compromise between responsiveness and smoothness.
The smoothed RSI is complemented by a separate moving average (MA) of the RSI itself, further enhancing signal clarity.
3. Visualization Tools
The PF-RSI includes visualization options to help traders interpret market conditions at a glance.
Plots:
Dynamic RSI: Displayed as a white line, showing the adaptive RSI value.
RSI Moving Average: Plotted in yellow, providing a smoothed reference for trend and momentum analysis.
Dynamic Length: A secondary plot (in faint white) showing how the calculation period evolves over time.
Histogram: Represents the RSI’s position relative to 50, with color gradients.
Fill Area: The space between the RSI and its MA is filled with a gradient (green for RSI > MA, red for RSI < MA), highlighting momentum shifts.
Customizable bar colors on the price chart reflect trend and momentum:
Trend (Raw RSI): Green (RSI > 50), Red (RSI < 50).
Trend (RSI MA): Green (MA > 50), Red (MA < 50).
Trend (Raw RSI) + Momentum: Adds momentum shading (lighter green/red when RSI and MA diverge).
Trend (RSI MA) + Momentum: Similar, but based on the MA’s trend.
Momentum: Green (RSI > MA), Red (RSI < MA).
Off: Disables bar coloring.
Intrabar Updating: Optional real-time updates within each bar for enhanced responsiveness.
4. Alerts
The PF-RSI supports customizable alerts to keep traders informed of key events.
Trend Alerts:
Raw RSI: Triggers when the RSI crosses above (uptrend) or below (downtrend) 50.
RSI MA: Triggers when the moving average crosses 50.
Off: Disables trend alerts.
Momentum Alerts:
Triggers when the RSI crosses its moving average, indicating rising (RSI > MA) or declining (RSI < MA) momentum.
Alerts are fired once per bar close, with descriptive messages including the ticker symbol (e.g., " Uptrend on: AAPL").
How It Works
The PF-RSI operates in a multi-step process:
Initialization
On the first run, it calculates a standard RSI with a 14-period length to seed the dynamic calculation.
Dynamic Length Computation
Once seeded, the indicator switches to a dynamic length based on the selected variant, factoring in volatility and distance from 50.
If smoothing is enabled, the length is further refined using an SMA.
RSI Calculation
The adaptive RSI is computed using the dynamic length, ensuring it reflects current market conditions.
Moving Average
A separate MA (SMA or EMA) is applied to the RSI, with a length derived from the dynamic length (Full, Half, or SQRT).
Visualization and Alerts
The results are plotted, and alerts are triggered based on user settings.
This adaptive approach minimizes lag in fast markets and reduces false signals in choppy conditions, offering a significant edge over fixed-period RSI implementations.
Why Use PF-RSI?
The Parameter Free RSI stands out by eliminating the guesswork of selecting an RSI period. Its dynamic length adjusts to market volatility and momentum, providing timely signals without manual tweaking.
MomentumSignal Kit RSI-MACD-ADX-CCI-CMF-TSI-EStoch// ----------------------------------------
// Description:
// ----------------------------------------
// MomentumKit RSI/MACD-ADX-CCI-CMF-TSI-EStoch Suite is a comprehensive momentum indicator suite designed to provide robust buy and sell signals through the consensus of multiple normalized momentum indicators. This suite integrates the following indicators:
// - **Relative Strength Index (RSI)**
// - **Stochastic RSI**
// - **Moving Average Convergence Divergence (MACD)** with enhanced logic
// - **True Strength Index (TSI)**
// - **Commodity Channel Index (CCI)**
// - **Chaikin Money Flow (CMF)**
// - **Average Directional Index (ADX)**
// - **Ehlers' Stochastic**
//
// **Key Features:**
// 1. **Normalization:** Each indicator is normalized to a consistent scale, facilitating easier comparison and interpretation across different momentum metrics. This uniform scaling allows traders to seamlessly analyze multiple indicators simultaneously without the confusion of differing value ranges.
//
// 2. **Consensus-Based Signals:** By combining multiple indicators, MomentumKit generates buy and sell signals based on the agreement among various momentum measurements. This multi-indicator consensus approach enhances signal reliability and reduces the likelihood of false positives.
//
// 3. **Overlap Analysis:** The normalization process aids in identifying overlapping signals, where multiple indicators point towards a potential change in price or momentum. Such overlaps are strong indicators of significant market movements, providing traders with timely and actionable insights.
//
// 4. **Enhanced Logic for MACD:** The MACD component within MomentumKit utilizes enhanced logic to improve its responsiveness and accuracy in detecting trend changes.
//
// 5. **Debugging Features:** MomentumKit includes advanced debugging tools that display individual buy and sell signals generated by each indicator. These features are intended for users with technical and programming skills, allowing them to:
// - **Visualize Signal Generation:** See real-time buy and sell signals for each integrated indicator directly on the chart.
// - **Adjust Signal Thresholds:** Modify the criteria for what constitutes a buy or sell signal for each indicator, enabling tailored analysis based on specific trading strategies.
// - **Filter and Manipulate Signals:** Enable or disable specific indicators' contributions to the overall buy and sell signals, providing flexibility in signal generation.
// - **Monitor Indicator Behavior:** Utilize debug plots and labels to understand how each indicator reacts to market movements, aiding in strategy optimization.
//
// **Work in Progress:**
// MomentumKit is continuously evolving, with ongoing enhancements to its algorithms and user interface. Current debugging features are designed to offer deep insights for technically adept users, allowing for extensive customization and fine-tuning. Future updates aim to introduce more user-friendly interfaces and automated optimization tools to cater to a broader audience.
//
// **Usage Instructions:**
// - **Visibility Controls:** Users can toggle the visibility of individual indicators to focus on specific momentum metrics as needed.
// - **Parameter Adjustments:** Each indicator comes with customizable parameters, allowing traders to fine-tune the suite according to their trading strategies and market conditions.
// - **Debugging Features:** Enable the debugging mode to visualize individual indicator signals and adjust their contribution to the overall buy/sell signals. This requires a basic understanding of the underlying indicators and their operational thresholds.
//
// **Benefits:**
// - **Simplified Analysis:** Normalization simplifies the process of analyzing multiple indicators, making it easier to identify consistent signals across different momentum measurements.
// - **Improved Decision-Making:** Consensus-based signals backed by multiple normalized indicators provide a higher level of confidence in trading decisions.
// - **Versatility:** Suitable for various trading styles and market conditions, MomentumKit offers a versatile toolset for both novice and experienced traders.
//
// **Technical Requirements:**
// - **Programming Knowledge:** To fully leverage the debugging and signal manipulation features, users should possess a foundational understanding of Pine Script and the mechanics of momentum indicators.
// - **Customization Skills:** Ability to adjust indicator parameters and debug filters to align with specific trading strategies.
//
// **Disclaimer:**
// This indicator suite is intended for educational and analytical purposes only and does not constitute financial advice. Trading involves significant risk, and past performance is not indicative of future results. Always conduct your own analysis or consult a qualified financial advisor before making trading decisions.
Crypto-DX Crypto Directional Index [chhslai]Crypto-DX can be used to help measure the overall strength and direction of the crypto market trend.
Furthermore, it can be used as a screener to find out cryptocurrencies which are accumulating momentum and tends to potentially pump or dump.
How this indicator works :
If the Crypto-DX cross above the zero-level, it could be an indication that there is a trend reversal into upward. You should close your short position or place a long order right away.
If the Crypto-DX cross below the zero-level, it could be an indication that there is a trend reversal into downward. You should close your long position or place a short order right away.
If the Crypto-DX is consolidated around the zero-level, it could be an indication that the trend may be ended and followed by a sideway market. You are suggested not to place any order and wait for the market moves.
Divergence based trading strategy is fully applicable, just like the MACD.
Screener features :
Plot "Crypto Index" and "5 Custom Crypto"
Plot "Crypto Index" and "Top 30 Crypto"
Ocean Indicator [CC]The Ocean Indicator was created by Jim Sloman (Ocean Theory pgs 39-47). Sadly he passed away a few years ago so it is extremely hard to find his code or more information about his trading system other than through his books so I did my best to replicate all of his work and I will be publishing his indicators over the next few weeks. Big thanks to @altcoinz for giving me all of the information I needed to replicate his work. Since this is his basic foundation for everything else he has done, I will be publishing it first. I had to change things a bit to provide clear buy and sell signals so let me know your thoughts.
This is essentially his version of a momentum indicator and the basics of it are to buy when momentum is increasing and sell when it is decreasing. I have included strong buy and sell signals in addition to normal ones and darker colors are for strong signals and lighter colors are for normal signals. Buy when the line turns green and sell when it turns red.
Let me know if there are any other indicators you would like to see me publish!
MomentumAccelerationOscillator (MAO)This new oscillator quantifies acceleration in momentum. There are a number of key features:
1. Values above zero signify an acceleration in buying momentum
2. Values below zero signify an acceleration in selling momentum
3. Green bars above the zero line signify increasing acceleration in buying momentum.
4. Red bars above the zero line signify decreasing acceleration in buying momentum.
5. Red bars below the zero line signify increasing acceleration in selling momentum.
6. Green bars below the zero line signify decreasing acceleration in selling momentum.
This oscillator can be used to build many trading systems. Here are two ideas:
1. Buy on crossover of the zero line (=acceleration in buying momentum). Exit on two consecutive red bars (=decreasing acceleration in buying momentum).
2. In existing up trend (MAO > 0), buy on colour change from grey to green (=increasing acceleration in buying momentum). Exit on two consecutive red bars (=decreasing acceleration in buying momentum).
3CRGANG - HISTOGRAMThe 3CRGANG - HISTOGRAM is a breakthrough tool, developed to consolidate multiple oscillators, including their Fibonacci-modified versions, into a single, streamlined indicator. This isn’t just a combination of tools—i t’s a carefully engineered solution built to address the nuanced challenges traders face, such as market noise, varying data availability, and trend alignment across multiple timeframes.
Behind the scenes, significant debugging ensures it performs flawlessly even in situations where volume data isn’t provided by brokers. With automatic adjustments that adapt to different conditions, the indicator allows traders to remain focused on decision-making. Every enhancement, from signal optimization to noise reduction, reflects careful design choices to provide practical, actionable insights.
This tool is designed to give traders clarity, speed, and an edge, enabling them to focus on the markets without worrying about technical details.
How It’s Different from Basic Indicators
Rather than simply mashing up popular indicators like MACD, RSI, and more , —it’s a strategic tool designed to detect key momentum shifts, divergences, and trends in real time.
This script combines Fibonacci-modified oscillators and classic indicators in a unique way, providing multi-dimensional insights to enhance your trading decisions.
Reduce market noise: Fast and slow averages are used to generate histograms that filter out false signals.
Optimize alerts: Fibonacci-based calculations fine-tune oscillators to detect trends at key turning points.
Multi-timeframe momentum: This allows for tracking higher timeframe momentum while making decisions on lower timeframes—a powerful feature for trend alignment.
Key Features and Unique Value
Oscillator Flexibility: Choose from multiple oscillators to fit your strategy, including both momentum-based and volatility-based approaches.
Fibonacci Enhancements: These versions increase precision, providing greater confidence in signals at critical levels.
MTF Compatibility: Analyze higher timeframe momentum on shorter charts to maintain alignment with the broader trend.
Custom Alerts: Color-coded histograms and moving averages provide visual cues to keep your trades in sync with momentum changes.
How It Works
The indicator plots fast and slow averages for the selected oscillator, and the difference between these averages forms the histogram. Custom color coding shows whether momentum is increasing or weakening. The proprietary modification factor adjusts the signal sensitivity, allowing traders to fine-tune the indicator for their strategy.
Visual Alerts:
Green Bars: Indicate bullish momentum.
Red Bars: Suggest bearish momentum.
Buy Only / Sell Only Zones: Alert traders when the indicator suggests favoring either long or short trades.
This indicator minimizes false signals by blending momentum oscillators with volume-weighted filters and smooth moving averages, ensuring better signal quality.
Use Case: Like a Traffic Light for Your Trades
Green means Go: Enter or hold long positions during green bars, signaling upward momentum.
Red means Stop (or Go Short): Exit long positions or enter short trades when red bars appear, indicating bearish momentum.
The Buy Only and Sell Only alerts help traders stay aligned with dominant trends and avoid counter-trend trades in high-momentum phases.
Real-World Examples :
Divergences (BTCUSD):
When the price action ranges, wedges, or behaves unusually, the histogram—being highly sensitive — alerts traders ahead of potential reversals or continuation moves.
This gives traders more time to assess market conditions and prepare their strategy before momentum shifts.
Multi-Timeframe Momentum (ADAUSD):
Momentum from a higher timeframe aligns with the trend on a lower timeframe, helping traders time their entries accurately.
The Priceless Edge for Traders
The 3CRGANG offers more than just another way to analyze markets—it provides a priceless edge by streamlining multiple indicators into a single tool. With the flexibility to switch between oscillators, multi-timeframe momentum tracking, and proprietary enhancements, it’s designed to help traders stay ahead in both trending and volatile markets.
Disclaimer
This indicator is a trading tool designed to provide insights into market trends, but it does not guarantee results. Trading involves risk, and past performance does not predict future outcomes. Use it alongside proper risk management practices.
