WaveTrend MACD Fusion Oscillator [MatrixQuantLabs]WaveTrend MACD Fusion Oscillator is a composite momentum oscillator that combines WaveTrend trend structure with MACD momentum analysis in a unified panel.
It is designed to help traders better align trend strength, wave timing, and signal confirmation through normalization, filtering, and divergence analysis.
Core Concept
Instead of using the original WaveTrend histogram structure, this indicator adopts the standard MACD histogram as its momentum foundation.
This design choice allows for clearer and more reliable differentiation of trend strength, while maintaining consistency across different symbols and timeframes through normalization.
WaveTrend is then applied as a wave timing and signal layer, making the overall structure easier to interpret and more robust in varying market conditions.
Key Features
Normalized MACD for Cross-Market Consistency
• The indicator uses standard MACD parameters (12/26/9) and applies normalization to scale values into a consistent range.
• This helps avoid chart distortion across different symbols and timeframes.
• An optional “Hide Weekly+” mode is provided to prevent higher-timeframe MACD values from compressing the panel scale.
MACD Histogram with Optional MACD Lines
• The MACD histogram visually represents bullish and bearish momentum, with dynamic coloring to reflect momentum expansion or contraction.
• MACD and Signal lines can be optionally displayed when deeper analysis is required.
Divergence Detection (Regular & Hidden)
Built-in divergence detection supports both MACD lines and histogram-based divergences, with selectable modes:
• Regular Divergence for potential reversals
• Hidden Divergence for trend continuation
Pivot-based confirmation and range filters help reduce noise and false signals.
WaveTrend Oscillator with Cross Strength Classification
• The WaveTrend module consists of a main trend line and a signal line, highlighting wave structure and momentum shifts.
• Golden crosses and death crosses are classified into multiple strength levels, allowing users to distinguish minor signals from more significant ones.
• The closer a counter-directional cross occurs to the overbought or oversold zones, the stronger the potential reversal signal.
• Optional Laguerre smoothing can be enabled to reduce noise and improve signal stability.
MACD-Based Signal Filtering
WaveTrend cross signals can be filtered using MACD conditions:
• Histogram Filter: Bullish crosses only when the MACD histogram is bullish, bearish crosses only when bearish
• Zero-Line Filter: Bullish crosses only above the MACD zero line, bearish crosses only below
These filters help align wave signals with the broader momentum context and reduce counter-trend noise.
Parameter Notes
Normalization Period
• Adjust this value if the indicator appears compressed or if different symbols show inconsistent scaling.
Pivot Right
• Higher values provide stronger confirmation with more delay; lower values are more sensitive and respond faster.
Laguerre Smoothing (Gamma)
• Lower values offer stronger smoothing and stability; higher values provide faster but noisier responses.
Usage Notes
• Use WaveTrend crosses to identify wave timing and momentum shifts.
• Use MACD (histogram and zero line) to assess trend direction and momentum strength.
• Divergence signals should be treated as early warnings, not standalone trade triggers.
• Best results are achieved when combined with trend analysis, price structure, or higher-timeframe context.
Disclaimer
This indicator is intended for educational and analytical purposes only and does not constitute financial advice. Always apply proper risk management and confirm signals with additional analysis.
Moving Averages
KC EMA Ribbon with 200 EMAEMA Ribbon 21–50 with 200 EMA Trend Filter
This indicator is designed to identify high-probability trend continuation opportunities using a structured EMA ribbon and a higher-timeframe trend filter.
It combines a 7-EMA ribbon (21 to 50) to visualize momentum and market structure, along with a 200 EMA to define the dominant trend.
Signals appear only when price action, ribbon direction, and overall trend are aligned — helping traders avoid choppy and low-quality setups.
Indicator Components
EMA Ribbon: 21, 25, 30, 35, 40, 45, 50
Trend Filter: 200 EMA (yellow)
No background shading for a clean, price-focused chart
How It Works
The EMA ribbon changes color based on bullish or bearish structure.
A bullish environment occurs when the ribbon is stacked upward and price is above the 200 EMA.
A bearish environment occurs when the ribbon is stacked downward and price is below the 200 EMA.
LONG and SHORT signals are generated only when the market is trending, reducing signal noise.
Trading Logic
LONG setups:
Price above 200 EMA, ribbon bullish, and a pullback followed by bullish continuation.
SHORT setups:
Price below 200 EMA, ribbon bearish, and a pullback followed by bearish continuation.
This indicator is not designed for ranging or sideways markets. It performs best during clear directional trends.
Best Use Cases
Timeframes: 1H, 2H, 4H
Markets: Crypto, Forex, Indices
Style: Trend continuation & swing trading
Important Notes
Avoid trading when the EMA ribbon is compressed or flat.
Best results come from combining this indicator with market structure, key levels, and disciplined risk management.
This tool is meant to support decision-making, not replace a trading plan.
⚠️ This indicator does not predict the market. It helps traders stay aligned with the prevailing trend and manage entries more objectively.
GEOFF LONG/SHORT ENTRY + STOP + TP / FINALIZED + ALERT / EMA
This professional-grade scalper is engineered specifically for the Micro E-mini S&P 500 (MES) and focuses exclusively on high-probability "A+" setups. By stripping away secondary noise, the indicator identifies surgical entries where momentum, trend, and institutional value converge.
### THE "PERFECT SETUP" LOGIC (4-LAYER FILTER)
To ensure the highest strike rate, a trade is only triggered when all four of the following conditions align:
1. TREND: 8 EMA crossing the 21 EMA (Short-term momentum shift).
2. VALUE: Price must be above VWAP for Longs or below VWAP for Shorts (Institutional bias).
3. MOMENTUM: RSI must be > 55 for Longs or < 45 for Shorts (Confirming the "Flush").
4. VOLATILITY: The entry candle must close outside the EMA spread to confirm strength.
### KEY FEATURES
* IRON-CLAD ANCHORING: Uses Pine Script v6 'chart.point' math to mathematically weld boxes and labels to the price bars. Drawings will NOT drift or lag when zooming or panning.
* DYNAMIC RISK CALCULATOR: Automatically calculates Take Profit and Stop Loss levels based on your input points. It displays the real-time dollar gain/loss ($5 per point for MES) directly on the chart.
* SURGICAL VISUALS: Features a 3-label system (Entry Price, Target Price, and Stop Price) positioned externally to keep the candlestick price action clear and visible.
* COLOR-SYNC LOGIC: Intuitively designed so that the Profit Target is ALWAYS Lime/Green and the Risk/Stop is ALWAYS Red, regardless of whether you are in a Long or Short position.
* INTEGRATED ALERTS: Includes built-in alert conditions for "Perfect Long" and "Perfect Short" to sync with phone or browser notifications.
### BEST USED ON:
Optimized for the 1m, 2m, and 5m timeframes for MES Futures.
Alligator Trend ZoneThis indicator is based on Bill Williams’ Alligator it Simplifies trend detection and Visualizes trend strength.
• Green zone when price is above all three Alligator lines (strong bullish trend).
• Red zone when price is below all three lines (strong bearish trend).
• Moving averages (Jaw, Teeth, Lips) are included but hidden by default for a clutter-free view.
• Enable them anytime for deeper analysis.
• Background color shifts with trend bias.
• Bullish/Bearish arrows for quick signal recognition.
• Candle coloring for instant trend visualization.
• Built-in alerts for bullish and bearish setups
Disclaimer:
This script is for educational purposes only. Trading involves risk, and past performance does not guarantee future results. Please test thoroughly and use at your own discretion. You are solely responsible for your trading decisions.
W/D/4HR OTE Aligner (V6) - Alerts This indicator is a multi-timeframe (MTF) alignment and Optimal Trade Entry (OTE) alert tool designed for discretionary manual trading on the 15-minute timeframe.
Here is a description of its core functionality:
W/D/4HR OTE Aligner (V6) - Alerts
This custom TradingView indicator assists manual traders by identifying high-probability trading setups that meet specific structural and momentum criteria across multiple timeframes. It does not place trades automatically but generates a "Trade Signal" used for setting up reliable alerts.
Key Features:
Multi-Timeframe Bias Confirmation: The indicator uses a 50-period Exponential Moving Average (EMA) to confirm that the Weekly, Daily, and 4-Hour timeframes are all aligned in the same direction (all above for bullish, all below for bearish). This provides a strong directional bias.
OTE Zone Identification: It dynamically calculates recent swing highs and lows on the 4-hour chart (using reliable pivot detection) and highlights the Optimal Trade Entry (OTE) zone, typically centered around the 0.618 Fibonacci Retracement level.
15-Minute Entry Signal: Once price enters the OTE zone within the aligned trend direction, the indicator looks for a confirmation entry signal on the 15-minute chart, specifically a 9-period EMA crossing the 20-period EMA.
Manual Alert System: A transparent "Trade Signal" plot provides the trigger source for a manual TradingView alert, notifying the user exactly when all criteria are met for a potential long or short trade entry.
This indicator is a tool for finding precise entry points within dominant, confirmed trends.
for clarity i built this using Google AI to help with being away from the charts it reflects how i wish to progress on my journey so any tips or feed back with me much appreciated
Kalman Exponential SuperTrendThe Kalman Exponential SuperTrend is a new, smoother & superior version of the famous "SuperTrend". Using Kalman smoothing, a concept from the EMA (Exponential Moving Average), this script leverages the best out of each and combines it into a single indicator.
How does it work?
First, we need to calculate the Kalman smoothed source. This is a kind of complex calculation, so you need to study it if you want to know how it works precisely. It smooths the source of the SuperTrend, which helps us smooth the SuperTrend.
Then, we calculate "a" where:
n = user defined ATR length
a = 2/(n+1)
Now we calculate the ATR over "n" period. Classical calculation, nothing changed here.
Now we calculate the SuperTrend using the Kalman smoothed source & ATR where:
kalman = kalman smoothed source
ATR = Average True Range
m = Factor chosen by user.
Upper Band = kalman + ATR * m
Lower Band = kalman - ATR * m
Now we just smooth it a bit further using the "a" and a concept from the EMA.
u1 = Upper Band a bar ago
l1 = Lower Band a bar ago
u = Upper Band
l = Lower Band
Upper = u1 * (1-a) + u * a
Lower = l1 * (1-a) + u * a
When the classical (not Kalman) source crosses above the Upper, it indicates an uptrend. When it crosses below the Lower, it indicates a downtrend.
Methodology & Concepts
When I took a look at the classical SuperTrend => It was just far too slow, and if I made it faster it was noisy as hell. So I decided I would try to make up for it.
I tried the gaussian, bilateral filter, but then I tried kalman and that worked the best, so I added it. Now it was still too noisy and unconsistent, so I revisited my knowledge of concepts and picked the one from the EMA, and it kinda solved it.
In the core of the indicator, all it does is combine them in a really simple way, but if you go more deeply you see how it fits the puzzlé really well.
It is not about trying out random things´=> but about seeking what it is missing and trying to lessen its bad side.
That is the entire point of this indicator => Offer a unique approach to the SuperTrend type, that lessen the bad sides of it.
I also added different plotting types, this is so everyone can find their favorite
Enjoy Gs!
Thanks @BackQuant for making a open source Kalman code <3
Bi-Fi StrategyVersion - Alpha
Only use this indicator on FX:US30 on NY open
Only take Breakout entry's when EMA trend matches the label color!
(More updates coming soon)
Kesisim Panteri + VMAKesişim Panteri + VMA is a combined overlay indicator that merges the EMA 8/13/21 crossover signals of “Kesişim Panteri” with LazyBear’s Variable Moving Average (VMA) trend filter. It plots the three EMAs, prints clear BUY/SELL markers on EMA8–EMA13 crossovers (optionally session-filtered), and shows a compact multi-timeframe trend table (Daily / 4H / 1H). VMA is plotted as an adaptive moving average that reacts to trend strength and can optionally color the line and candles. A dedicated candle-color mode lets you choose whether bars follow the Panteri position, the VMA trend, both (with priority), or stay neutral.
TRharmonic Fib & Pi Bands
# TRharmonic Fibonacci & Pi Bands - Technical Guide
## Theoretical Framework
The indicator is built with dynamic volatility bands based on different Fibonacci ratios (φ = 1.618, φ² = 2.618, φ³ = 4.236, φ⁴ = 6.854) and the mathematical constant π (3.14159) as deviation multipliers. The calculation of the central tendency occurs through using 9 different types of moving averages each (with specific mathematically properties) that are designed for market cycles.
## Moving Average Specifications
**Classical Averages**: Classic Averages are calculated as: Simple MA – arithmetic mean; Exponential MA – weighted, with exponentially decreasing weights, α = 2/(n+1); Smoothed MA (Wilder's RMA) – smoothed using α = 1/n to suppress noise effect; Triangular MA - double-smoothed SMMA(SMMA(x, ⌈(n+1)/2⌉), ⌊(n+1)/2⌋).
Advanced Averages: The Hull MA diminishes delay using the formula WMA(2×WMA(n/2) - WMA(n), √n). Kernel-based estimators utilize Epanechnikov (‘parabolic’, 1-u²) and Gaussian (‘exponential’, exp(-½(i/σ )²) kernel functions. Tis would correspond to the fi new’ expectation via its statistical mean which, for rate dominated data (multiplicative) is the Harmonic = n/Σ(1/xᵢ) (Geometric = exp(Σ log(xᵢ)/n), for multiplicative).
## Band Construction Methodology
Bands are derived from the basis ± (ATR × Fibonacci/Pi multiplier × width coefficient), where ATR undergoes 200-period calculation followed by 100-period RMA smoothing for stability. Each resultant band is further refined via Hull MA to eliminate discontinuities while preserving responsiveness.
## Projection Algorithm
Future band trajectories are extrapolated using MA-type-specific mathematical models. Linear extrapolation applies to SMA; exponential decay characterizes EMA/RMA projections; Hull MA incorporates second-derivative acceleration terms (x + vt + ½at²). Harmonic and Geometric projections operate in reciprocal (1/x) and logarithmic (log x) domains respectively, ensuring mathematical consistency with their computational foundations.
## Interpretation Guidelines
Positioning relative to the basis above it indicates bullishness, while sub-basis positioning suggests bearishness. Heavy band penetration (Fib 3-4 zones) indicates a potential change in market direction or mean reversion. The π band becomes an intermediate reference line between Fib 2 and Fib 3, which often works as a sort of dynamic S/R level because of its commonality in cyclic phenomenon.
## Liquidity Sweep Detection
The former highlights swing pivots beyond Fib 3 bands (according to Smart Money Concepts, institutional liquidity harvesting), reminiscent of possible reversals and thus deserving more attention analysis-wise.
EMA Distance BandsEMA Distance Bands
Use EMA Distance Bands to visualize historical price extension directly on your chart by translating percentage-based distance statistics into multi-tier adaptive price envelopes around a reference EMA.
These bands represent normal vs extreme price behavior relative to a higher-timeframe EMA, giving traders quantitative context about how far price is stretched from its structural mean.
Timeframe-agnostic, the indicator works across all chart and EMA timeframe combinations, making it versatile for scalping, intraday, and swing trading.
✂️ What It Does
- Plots a selectable EMA from any timeframe on your chart
- Measures percentage distance between price and the EMA
- Computes average and standard deviation of this distance over a configurable lookback
- Converts these statistics into price-based bands:
- 0.5σ band → minor deviations / “normal range”
- 1σ band → typical daily/weekly variation
- 2σ band → rare/extreme price extensions
- Shades the “normal range” for visual clarity
Bitcoin Daily Chart vs Weekly EMA
🔦Intention:
EMA Distance Bands are designed to answer the question:
“Where does price normally trade, and how extreme is the current deviation from the structural mean?”
Unlike a simple moving average envelope, the bands quantify rarity, giving traders a clear sense of statistical stretch.
✨ Key Features:
- Timeframe-agnostic EMA reference
- Multi-tier bands (0.5σ, 1σ, 2σ) for granular context
- Dynamic shading of normal range
- Numeric insight: compare current distance vs historical standard deviation
- Non-repainting, fully historical
- Clean on-chart visualization
- Works across all instruments and chart timeframes
📚 How to Read It
Price inside 1σ band → normal, statistically expected range
Price between 1σ and 2σ → stretched, may revert
Price outside 2σ band → extreme, rare price extensions
Compare with EMA Distance Index oscillator to see exact numeric distance relative to current bands
Bitcoin 1h chart vs 4h EMA
📈 Best Practices
- EMA timeframe should be equal to or higher than chart timeframe
- Use for context, risk framing, and identifying stretched conditions
- Combine with chart structure, VWAP, or volume for discretionary signals
- Adjust lookback based on chart timeframe for meaningful bands
🎹 Common Use Cases
- Identify mean-reversion opportunities
- Detect intraday or swing overextensions
- Evaluate trend pullbacks vs session/daily context
- Risk framing and stop placement
- Volatility regime awareness
🛠️ Settings Overview
- EMA Length – period of the reference EMA
- EMA Timeframe – timeframe of EMA calculation (scalable across charts)
- Lookback Bars – number of chart bars used to compute average and standard deviation
🖥️ Why This Is Powerful
This enhanced band system turns your EMA reference into a quantitative envelope, showing where price usually is, how extreme it is currently, and providing numeric and visual context in one tool.
Paired with the EMA Distance Index oscillator, it forms a complete framework for assessing price location and statistical stretch across any timeframe.
⚠️ Disclaimer:
EMA Distance Bands are intended for contextual and statistical analysis of price relative to a selected EMA. The bands illustrate typical ranges and extreme deviations, but do not constitute trade recommendations.
Market conditions can change rapidly, and historical patterns or standard deviations do not predict future price movements. Users are responsible for their own decisions, including risk management, trade execution, and capital allocation.
The developer is not liable for any losses or damages resulting from the use of this indicator. By using this tool, you accept full responsibility for your trading actions.
If you'd like access or have any questions, feel free to reach out to me directly via DM.
aslanogluI am pleased to present you with my buy/sell strategy that you can use in all periods.
I would be pleased to discuss your experiences
SMA 2 & SMA 12 configurables + alertesEnjoy to use this indicator used in Powertrade community.
Thanks to Patrick, for his community.
It's a powerfull signal for sell and buy.
When the SMA 2 days goes above the SMA 12 days, it's a buy signal.
When the SMA 2 days goes below the SMA 12 days, it's a sell signal.
I recommand too, the use of : jeremiefranklin1 indicator based on 2 DEMA 20 + Choch patterns by BigBeluga + daily Candle by Natantia.
This combination will give you a really powerfull trading setup to earn lots of money with different trading assets.
Have fun.
EMA Distance IndexEMA Distance Index
EMA Distance Index measures how far price is extended from a structurally important exponential moving average calculated on a user-selected timeframe. It quantifies price location in percentage terms and compares current conditions to historical norms.
This indicator is timeframe-agnostic and works on any chart timeframe, making it a versatile tool for scalping, intraday, and swing trading.
✂️ What It Does:
- Compares current chart timeframe price to an EMA from a selectable timeframe
- Calculates the percentage distance between price and that EMA
- Computes a rolling average distance to establish historical norms
- Displays this information in a clean oscillator pane
Bitcoin 1h chart vs 4h EMA
🔦 Intention:
EMA Distance Index is designed to answer:
“How far is price from its structural mean, relative to what’s normal?”
Rather than predicting direction, it provides objective context about price location and extension.
✨ Key Features:
- Timeframe-agnostic (works on any chart)
- User-selectable EMA timeframe
- Percentage-based (volatility aware)
- Non-repainting
- Lightweight and fast
- Suitable for discretionary and systematic traders
Bitcoin Daily chart vs Weekly EMA
📈 Best Practices:
- EMA timeframe should be equal to or higher than chart timeframe
- Use as a context tool, not a standalone signal
- Adjust lookback length based on chart timeframe
- Combine with structure, VWAP, or volume analysis
📚 Common Use Cases
- Mean-reversion context
- Overextension identification
- Trend pullback evaluation
- Risk framing and trade location
- Volatility regime awareness
🛠️ Settings Overview
- EMA Length: Period used for EMA calculation
- EMA Timeframe: Timeframe on which EMA is calculated
- Lookback Bars: Number of chart bars used for averaging
⚠️ Disclaimer:
EMA Distance Index is an educational and informational tool that visualizes the distance between price and a selected EMA. It does not provide buy, sell, or trading signals, and should not be used as the sole basis for trading decisions.
Users are responsible for their own trades and risk management. Past performance, averages, or historical data do not guarantee future results. Always consider market structure, risk tolerance, and other technical/fundamental factors before taking any action.
The developer assumes no liability for any losses or damages resulting from the use of this indicator. By using this indicator, you acknowledge and accept these terms.
If you'd like access or have any questions, feel free to reach out to me directly via DM.
ADR/ATR/EMA % FILTERADR%
ATR%
Daily EMA 5 % Distance
Daily EMA 10% Distance
2 Hour EMA 20% Distance
20-Day price control
20-Week price control
XU100 Index 5/20 control on 4-hour
EMA Ribbon WWL📊 EMA Ribbon
EMA Ribbon (Clean – No Background) is a minimalist, professional trend-identification indicator designed for traders who value clarity, structure, and price action over visual clutter.
This ribbon uses multiple exponential moving averages aligned by trend and does not use any background shading or cloud fill, keeping the chart clean and easy to read — ideal for discretionary and higher-timeframe traders.
🔹 How It Works
The ribbon is built from multiple EMAs that align and change color based on market direction.
Green EMAs indicate a bullish trend.
Red EMAs indicate a bearish trend.
A 200 EMA acts as the higher-timeframe trend anchor.
🎯 Best Use Cases
Identify primary market trend
Trade pullbacks into the EMA ribbon
Avoid choppy, sideways markets
Works well on Crypto, Forex, Indices, and Commodities
Recommended timeframes: 15m, 1H, 4H, Daily
TLC INOUT "One line represents an uptrend, signaling an opportunity to buy. When it becomes two lines, be cautious of a reversal and consider selling."
RB System"This indicator uses color changes to signal potential trend reversals. However, no single indicator should be the final authority for your trades. Please exercise caution."
根據顏色判斷是否轉勢的一個指標
單一指標不能做為最後根據
請小心參考
PAE - Price Action Essential**PAE - Price Action Essential** indicator.
This system is engineered to provide high-fidelity market structure readings, blending moving average harmony with algorithmic volume analysis at critical turning points.
---
## 1. Indicator Philosophy
**PAE** operates under the **"Signal over Noise"** principle. Its goal is to declutter the chart of visual distractions, highlighting only the areas where true confluence exists between price action and institutional effort (volume).
---
## 2. Moving Average Dynamics & Action Zone
The system utilizes a hierarchy of four moving averages to segment market flow:
### A. The Action Zone (Short-Term)
This is generated via a dynamic shading between the **Fast MA (9)** and the **Base MA (20)**.
* **Configuration:** Allows the user to select the calculation type (EMA, SMA, WMA, HMA) for both averages simultaneously.
* **Fast MA Colors:**
* `#a5d6a7` (Soft Green) during ascending values.
* `#faa1a4` (Soft Red) during descending values.
* **Purpose:** The shaded area acts as a "value band." Pullbacks into this zone during defined trends often offer the highest probability entry opportunities.
### B. Structural MAs (Mid & Long-Term)
These averages are fixed to **SMA** type to maintain stability in trend analysis:
* **Medium SMA (40):** Uses vibrant colors (**#3179f5** Blue / **#ffee58** Yellow) to clearly mark the primary direction of the current swing.
* **Slow SMA (200):** Uses pastel tones (**#90bff9** / **#fff9c4**) and a dotted style to define the long-term institutional bias.
---
## 3. Pivot Analysis with Smart Volume
**PAE** identifies fractals (Highs and Lows) and automatically classifies them based on their **Relative Volume** compared to the previous 20 candles.
### Visual Classification by Color
To ensure rapid interpretation, labels are set to **Tiny** size, with color serving as the primary data indicator:
| Pivot Type | Color | Volume Condition | Interpretation |
| --- | --- | --- | --- |
| **Strength (MAX)** | `#ff001e` (Bright Red) | `> 160%` of Avg | High-conviction resistance. |
| **Strength (MIN)** | `#0fa600` (Bright Green) | `> 160%` of Avg | High-conviction support. |
| **Base (MAX)** | `#f1adad` (Soft Rose) | Between `30%` - `160%` | Standard market structure. |
| **Base (MIN)** | `#bee7c0` (Soft Mint) | Between `30%` - `160%` | Standard market structure. |
| **Noise** | `#ffffff` (White 67% Transp.) | `< 30%` of Avg | Weak pivots or lack of interest. |
---
## 4. Contextual Information (Tooltips)
Every Pivot label is interactive. By hovering the cursor over the triangles, the trader obtains precise data:
* **Price:** Indicates the exact **Closing** value of the candle that triggered the pivot (MAX or Min).
* **Vol:** Displays the exact percentage of relative volume. For example, a value of **200%** confirms that the candle had double the average volume, validating the strength of that support or resistance level.
---
## 5. Recommended Configuration Parameters
* **Left/Right Bars (3):** The ideal balance between early detection and swing confirmation.
* **Strength Factor (1.60):** Filters for movements backed by professional intent.
* **Noise Factor (0.30):** Identifies exhaustion or lack of participation.
---
### Operational Summary
The **PAE** helps traders stop guessing. If the price reaches the **Action Zone** (shading) and coincides with a **Strength Pivot** (bright color), the probability of a reaction in favor of the trend is significantly high. It is a precision tool designed for traders seeking absolute clarity in their decision-making process.
KP Support ResistneComprehensive Disclaimer and User Responsibility Statement for Indicators and Algorithmic Trading Tools
We are an independent indicator and algorithm (algo) development service provider, engaged solely in the technical development of trading tools based on specific requirements received from users. Our role is strictly limited to designing, coding, and delivering custom-built indicators, scripts, scanners, or algorithmic tools as per user-defined inputs. We do not act as financial advisors, investment advisors, portfolio managers, or trading mentors in any capacity.
It is extremely important for every user to clearly understand the scope, limitations, responsibilities, and risks associated with the use of any indicator, algorithm, or trading-related tool developed or shared by us.
1. No Investment Advice or Recommendations
We do not recommend, suggest, endorse, or advise the use of any indicator, strategy, or algorithm developed by us for live trading purposes. Any tool created by us is purely technical in nature and must not be interpreted as financial, investment, or trading advice.
We strongly advise all users to consult a SEBI-registered investment advisor (RIA) or a SEBI-registered research analyst (RA) before making any trading or investment decisions. Our services do not replace professional financial guidance.
2. Tools Are Developed Based on User Requirements Only
All indicators and algorithms are developed strictly based on requirements received from users, which may include:
Specific entry or exit logic
Custom conditions
Indicator combinations
Risk management formulas
Automation logic
Visual plotting requirements
These requirements are subjective and vary from user to user. A tool developed for one user is tailored to their personal assumptions, preferences, and expectations. As such, the same tool may not be suitable or effective for another user.
We do not evaluate whether a particular logic is profitable, safe, or appropriate for any individual.
3. No Guarantee of Profit or Performance
There is no guarantee of profit, accuracy, consistency, or success when using any indicator or algorithm developed by us. Financial markets are uncertain, volatile, and influenced by numerous unpredictable factors including but not limited to:
Market sentiment
Economic events
News and announcements
Liquidity conditions
Broker execution quality
Slippage and latency
Past performance of any indicator or algorithm does not guarantee future results. Any perceived success in backtesting or paper trading does not ensure similar results in live market conditions.
4. Trading Involves High Risk
Trading and investing in financial markets involves substantial risk, including the potential loss of partial or entire capital. Users must clearly understand that:
Losses can exceed expectations
Capital erosion can occur rapidly
Emotional and psychological stress is common
Overtrading and mismanagement can amplify losses
Users are solely responsible for assessing whether trading aligns with their financial situation, risk tolerance, and personal circumstances.
5. Differences in Capital Size and Risk Capacity
Every trader has a different capital size, which significantly impacts trading outcomes. A strategy that may appear effective for a large capital account may fail for a smaller account due to:
Margin requirements
Lot size constraints
Brokerage costs
Risk exposure
Similarly, risk-reward capacity differs for each individual. Some users can tolerate drawdowns, while others cannot. A one-size-fits-all approach does not exist in trading.
6. Psychological and Mental Health Factors
Trading is not only a technical activity but also a psychological challenge. Factors such as:
Emotional discipline
Fear and greed
Stress management
Mental health
Decision-making under pressure
play a critical role in trading outcomes. We do not assess or account for a user’s psychological readiness or mental health condition. Any tool shared by us may not align with a user’s emotional or mental capacity to handle market fluctuations.
7. Trading Profile and Experience Level
Each user has a unique trading profile, which may include:
Beginner, intermediate, or advanced experience
Intraday, swing, positional, or long-term trading
Manual or automated execution
Asset preference (equity, options, futures, commodities, forex)
A tool developed for a specific trading profile may not work effectively for another profile. Users are fully responsible for determining whether a tool suits their experience level and trading style.
8. No Responsibility for Profit, Loss, or Damages
We shall not be held responsible or liable for any of the following:
Financial losses or missed profits
Incorrect signals or logic behavior
Broker-related issues
API failures or platform downtime
Market gaps or extreme volatility
Emotional distress or decision errors
The use of any indicator or algorithm is entirely at the user’s own risk.
9. Testing and Validation Are User’s Responsibility
Before using any tool in a live trading environment, users must:
Conduct proper backtesting
Perform forward testing or paper trading
Validate results under multiple market conditions
Understand all logic and limitations
We do not guarantee that a tool has been tested across all scenarios unless explicitly agreed upon in writing.
10. No SEBI Registration or Advisory Role
We are not registered with SEBI as an investment advisor, research analyst, or portfolio manager. Our services are limited to technical development only. Any interpretation of our work as advisory services is incorrect and unauthorized.
11. Market Conditions Can Change
Market behavior is dynamic. A logic that works in one market phase (trending, sideways, volatile) may completely fail in another. Indicators and algorithms are not adaptive unless specifically designed to be so.
Users must continuously monitor and evaluate performance.
12. Automation Does Not Eliminate Risk
Automated trading or algorithmic execution does not eliminate risk. In fact, automation can increase risk if:
Logic errors exist
Market conditions change abruptly
Execution happens faster than human intervention
Users must supervise automated systems at all times.
13. Acceptance of Terms
By using, accessing, or implementing any indicator or algorithm developed or shared by us, the user explicitly agrees that:
They understand all risks involved
They take full responsibility for all outcomes
They will not hold us liable for any loss or damage
They will seek advice from a SEBI-registered advisor when needed
14. Final Statement
We provide tools, not advice.
We develop code, not confidence.
We share technology, not guarantees.
Trading success depends on multiple personal and external factors including capital, psychology, discipline, experience, and market conditions. Since these factors differ from person to person, the same indicator or algorithm will not work for everyone.
Users must make informed decisions responsibly and ethically.
Malama's 5x Universal Anchored M.A. (Optional S/R)Malama's 5x Universal Anchored M.A. (5-UMA+) is a comprehensive moving average utility designed to streamline chart analysis by consolidating five fully independent, highly customizable MA slots into a single script instance.
Justification for this Combination (The Mashup): Traders often require multiple moving averages to analyze different time horizons (e.g., the 20, 50, 100, and 200 MAs simultaneously). Using separate indicators for each consumes limited TradingView indicator slots and clutters the interface. Furthermore, most standard MA tools lack advanced "Anchoring" capabilities or adaptive calculation methods. This script solves these issues by unifying 5 independent calculation engines into one optimized tool. It allows traders to mix and match standard MAs (SMA, EMA) with advanced adaptive types (KAMA, VIDYA) and apply custom anchors to specific events (like earnings or market opens) without needing multiple scripts.
How the Components Work Together:
Universal Calculation Engine: Each of the 5 slots can select from over 28 different smoothing algorithms. This allows for direct comparison—for example, plotting a lagging SMA against a responsive Hull MA to gauge trend momentum.
Independent Anchoring Logic: Unlike standard tools that apply one logic to all lines, each slot has its own "Anchor State." Slot 1 can be a rolling EMA, while Slot 2 is anchored to a specific date. The script manages these state variables independently to prevent conflict.
Dynamic S/R Visualization: Each line can optionally toggle "Support/Resistance Mode."
Logic: If Price > MA, the line turns Green (Support). If Price < MA, it turns Red (Resistance).
Interaction: This visual feedback loop helps traders instantly identify trend alignment across multiple timeframes.
Data Dashboard: A modular table system renders real-time data for each active MA, displaying its current value, trend direction (Slope), and percent deviation from price.
Included MA Types & Underlying Math:
Standard: SMA, EMA, WMA, TMA, VWMA, SMMA.
Low Lag: HMA (Hull), ZLEMA (Zero-Lag), DEMA, TEMA, T3.
Adaptive: KAMA (Kaufman), VIDYA (Chande), FRAMA (Fractal), McGinley Dynamic, Kalman Filter.
Ehlers: MAMA/FAMA, Cyber Cycle, Super Smoother, Laguerre, Reflex.
Features:
5 Independent Slots: Configure up to 5 unique MAs on one chart.
Anchored Mode: Anchor any MA to a specific Date/Time, Bar Index, or the First Bar of the chart.
Smart Tables: Individual dashboard panels for each MA that can be positioned anywhere on the screen.
Disclaimer: This tool is for educational analysis only. Trading involves significant risk.
Malama's Quantum Fusion Malama's Quantum Fusion (MQF) is a unified trend-following and reversal system that filters signals by mathematically fusing market "Context" (Probability Zones) with "Kinetics" (Price Action).
Justification for this Combination (The Mashup): Standard indicators often fire signals in isolation, ignoring the broader market regime. For example, a momentum oscillator might signal a "Buy" in a downtrend, or a trend indicator might lag in a chop zone. MQF solves this by combining Regime Detection (ADX), Trend Direction (Supertrend Cloud), and Momentum (RSI/MFI) into a single decision engine. This "Fusion" allows the script to suppress false signals when the market context is unfavorable (e.g., ADX < 20).
Underlying Calculations & Logic (How it Works):
1. The "Probability Zone" Engine (The Context) The script calculates a dynamic probability score for every bar based on a Weighted Superposition Model:
Regime-Adjusted Oscillators: It calculates RSI (14) and MFI (14). Crucially, the script uses ADX to detect the market regime.
In Trends (ADX > 25): Oscillators are weighted for momentum (buying strength).
In Ranges (ADX < 20): Oscillators are weighted for mean reversion (buying oversold).
Wave Deviation: It measures the distance of price from a central 50-period EMA Wave. The further price deviates, the higher the "Reversion Probability" score.
Swing Pivots: It identifies local tops and bottoms. Proximity to these pivots adds to the Zone Score.
2. The Reversal Signal Engine (The Trigger) The "BUY" and "SELL" diamonds are generated only when multiple conditions align:
Candle Pattern: Price must close above the Fast EMA (9) while the Candle High > Previous High.
Trend Cloud: The move must align with the Dual-Supertrend Cloud (Fast Factor 1.5, Slow Factor 3.0).
Signal Filters:
Volume Spike: Requires Volume > (Average Volume * 1.5) to ensure institutional participation.
Chop Filter: Blocks signals if ADX < 20 (configurable).
Risk Filter: Blocks signals if the candle range is excessive, preventing entries on exhaustion candles.
3. Multi-Timeframe (MTF) Trend Alignment To prevent trading against the dominant trend, the script pulls data from higher timeframes (e.g., Weekly trend for Daily charts) using non-repainting security calls. Signals are suppressed if they contradict the higher-timeframe Supertrend direction.
How to Use:
The Dashboard: Monitor the "Prob" (Probability) and "Conf" (Confidence) columns. A score > 75% indicates a high-probability reversal zone.
The Signal: Wait for a Diamond (◆) signal.
Green Diamond: Bullish Entry (Price broke resistance + Trend Aligned + High Probability Zone).
Red Diamond: Bearish Entry (Price broke support + Trend Aligned + High Probability Zone).
Risk Management: Use the dotted Stop Loss lines drawn at the recent Swing High/Low for trade invalidation.
Disclaimer: This script uses request.security for MTF data with lookahead=barmerge.lookahead_off to ensure no repainting occurs. All calculations are performed on confirmed closed bars.
Trend & ML ScreenerMalama's Enhanced Trend & ML Screener (MLScreen) is a multi-asset dashboard designed to provide a comprehensive health check of your watchlist by fusing standard trend metrics with machine learning trend detection.
Justification for this Combination (The Mashup): Evaluating a ticker's true state often requires checking multiple isolated indicators: Ichimoku for cloud position, ADX for trend strength, ATR for volatility, and Moving Averages for momentum. Checking these one by one across 8 tickers is inefficient. This script solves this problem by consolidating these 5 distinct analytical dimensions into a single, unified "State Dashboard," allowing traders to assess the condition of SPY, QQQ, and 6 custom tickers simultaneously.
Implementing the Dr. David Paul Methodology: This screener is specifically engineered to execute the technical side of Dr. David Paul's high-probability investing checklist.
Step 1 (Your Job - Fundamentals): You populate the custom ticker slots with companies you have identified as Undervalued and showing Strong Earnings Growth.
Step 2 (The Script's Job - Technical Validation): The dashboard validates that these companies are "Rising" and safe to buy based on Dr. Paul's strict technical rules:
General Market Filter: Check the top two rows (SPY & QQQ). Dr. Paul states the general market must be Positive (Above the 21-Day EMA). If SPY or QQQ are below the 21 EMA, long positions are avoided.
The "89" Floor: The specific stock must not be under the 89-Day EMA. The dashboard monitors the 89 EMA interaction to ensure the long-term trend is still valid.
Growing Strongly: The "ML Trend" (Machine Learning Slope) confirms that price action is actually rising ("Growing Strongly") to match the earnings growth.
How the Components Work Together:
Machine Learning Trend (ML Trend): The script calculates a Linear Regression Slope. If positive, it confirms the "Rising" price action required to match strong earnings.
Multi-Timeframe Context (MTF Trend): It pulls trend data from the Weekly timeframe to ensure the macro trend supports the daily move.
EMA Crossovers & Positioning: The script monitors the 10, 21, 50, and 89 EMAs. The dashboard highlights crossovers, allowing you to instantly see if SPY is holding the 21 EMA or if a stock is threatening the 89 EMA floor.
Volatility (ATR/ADX): Confirms if the move has genuine strength (ADX) or if volatility is expanding dangerously.
How to Use:
Market Check (The 21 Rule): Look at SPY and QQQ. Verify they are NOT showing "↓ 21" or trading in a Bearish trend. They must be above the 21-Day EMA.
Stock Check (The 89 Rule): Ensure your target value stock is not showing a "↓ 89" signal or trading below the 89 EMA.
Trend Entry: If Fundamentals are good + Market is > 21 EMA + Stock is > 89 EMA, use the ML Trend (Green) as your confirmation to enter the rising move.
Disclaimer: This tool is for educational analysis only. Past performance is not indicative of future results.
Pullback Finder CareCA multi-timeframe pullback detection indicator that identifies optimal entry points during trend corrections. It combines daily trend analysis with intraday momentum, volume, and RSI conditions to pinpoint high-probability reversal points when price pulls back against the primary trend direction.
Perfect for traders looking to buy dips in uptrends or sell rallies in downtrends with precise timing and trend confirmation.
