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Gaussian Regression Wave | Lyro RSOverview
Gaussian Regression Wave by Lyro RS is a multi-functional technical analysis indicator designed to visualize trend reversals, volatility bands, and momentum shifts using a Gaussian-filtered linear regression approach. It combines price smoothing, standard deviation zones, and Heikin Ashi visualization into one configurable module. The indicator is especially tailored for short-term reversal trading and includes multiple display modes and dynamic regime detection.
Introduction
The Gaussian Regression Wave introduces a comprehensive framework for interpreting price dynamics through a blend of statistical smoothing, volatility filtering, and trend detection. Without revealing internal logic, the core methodology is centered on Gaussian-based smoothing of a momentum-derived linear regression, further layered with volatility envelopes and optional Heikin Ashi representation.
Purpose
This tool was designed to help traders identify potential market reversals with greater clarity on lower timeframes. It integrates a multi-dimensional view of trend momentum, volatility, and overbought/oversold zones. Intended primarily for reversal trading, it is best utilized on lower timeframe charts such as 1-minute, 5-minute, or 15-minute periods. The indicator provides flexible modes that allow traders to assess trend conditions, strength of price moves, and reversal zones in real time. Additionally, the regime detector allows users to adapt visually to trending versus mean-reverting environments.
Originality and Uniqueness
Unlike traditional regression or moving average indicators, this script introduces a Gaussian filter applied to a momentum-adjusted regression wave, which results in more adaptive and noise-filtered signals. It integrates a wide variety of moving average smoothing methods, which are customizable, alongside a configurable volatility engine using both ATR and standard deviation logic. The ability to toggle between classic and Heikin Ashi modes adds visual clarity, while the inclusion of a background-colored regime detector and a table-based summary panel provides an at-a-glance understanding of market state. The indicator's modularity, visual flexibility, and incorporation of both statistical and price-action elements make it distinct from conventional trend-following or reversal tools.
Inputs
Source: Defines the price input for calculations, such as close, open, high, or low.
LR Length: Defines a period for one of the calculations.
Select MA Type: Allows the user to choose from several smoothing methods (e.g., EMA, HMA,
TEMA). Each affects how responsive or smoothed the final regression output is.
Smoothing Length: Determines the smoothing applied post-regression. A higher value increases lag but improves noise reduction.
Gaussian Length: Number of bars over which the Gaussian weights are calculated. A longer length increases smoothness.
Gaussian Sigma: Adjusts the width of the Gaussian distribution curve. Higher sigma results in a flatter curve and broader smoothing effect.
ATR Length: Defines the lookback period for calculating the Average True Range, used to estimate volatility.
ATR Factor: A multiplier applied to the ATR to scale the dynamic range of the indicator.
Standard Deviation Length: Period used for computing standard deviation boundaries, affecting band sensitivity.
Reverse Calculations: When enabled, flips regime coloration, which may be more suitable for interpreting lower timeframe behavior.
Market Regime Detector: Toggles whether regime analysis is active and allows selection between short-term or long-term views.
Regime Trend Color / Regime Mean Reversion Color: Custom user-defined colors for regime states.
Background Color Transparency: Adjusts the opacity of regime background coloration for visual emphasis or subtlety.
Use 0 as Middle Line: Replaces the midline with a static zero level, offering a normalized view of mean reversion zones.
Standard Deviation Length: Sets the calculation length for standard deviation used in SD band plotting.
Standard Deviation Multiplier: Determines how wide the bands are around the midline based on standard deviation multiples.
Enable Take Profit: Enables markers for potential profit-taking conditions based on standard deviation thresholds.
Display Variation: Chooses between standard candle plots or Heikin Ashi-style rendering for a smoother appearance.
Select Mode: Toggles between visual modes — Trend, Strength, or Reversals — depending on user focus.
Custom Color Palette: Offers four pre-configured color themes for bullish and bearish conditions.
Use Custom Palette: Allows manual selection of custom up and down colors.
Custom Up / Down: Sets personalized signal colors for bullish and bearish conditions.
Force Table Overlay: Ensures the state table overlays on the chart, even in constrained layouts.
LR MOM Modes Table: Sets the screen location for the summary table.
Table Size: Adjusts the size of the state display for better chart readability.
Features
Gaussian Smoothing: A hand-coded Gaussian filter smooths input data across a user-defined length and sigma range. This helps reduce short-term noise while maintaining essential trend structure.
Dynamic Regression Wave: Momentum values derived from price are passed through a linear regression, followed by optional smoothing using any of sixteen different MA types. This produces a centerline that visually oscillates with price momentum.
Dual Plot Modes: Users can switch between classic candle visualization and a Heikin Ashi-based mode. The HA mode provides smoother visuals, particularly helpful for observing transitions and reversals.
Volatility Bands: The indicator plots two layers of standard deviation bands (1 and 2 standard deviations). These bands dynamically contract or expand with volatility and can act as reversal or breakout zones.
Midline Options: The script gives the choice between using a dynamically calculated SMA midline or a fixed level at zero, depending on whether users want a normalized reference.
Market Regime Detector: Through background shading, the indicator helps users distinguish trending vs. mean-reverting environments. Users can choose between long-term or short-term perspectives. An optional reversal switch inverts the coloring logic, adapting better to fast or slow markets.
Visual Display Modes:
Trend Mode: Colors candles based on their relationship to the regression midline.
Strength Mode: Applies gradient coloring to price candles, indicating relative momentum intensity.
Reversals Mode: Highlights candles that breach outer deviation zones, helping identify potential exhaustion points.
Take-Profit Signal Markers: Displays small x-crosses above or below candles at designated deviation thresholds to suggest likely profit-taking opportunities in both long and short positions.
Color Customization: Supports full palette customization, either through predefined themes or user-defined color values, allowing better integration with user chart styles.
Summary Table: A compact on-chart table dynamically reports the state of trend, strength, reversal, and regime analysis using clear symbols and color-coded status.
Alert Conditions: Includes a comprehensive set of alerts for each mode and visualization type, allowing real-time notification of trend shifts, momentum changes, reversal signals, and regime transitions.
Conclusion
Gaussian Regression Wave combines several statistical and visual techniques to help traders interpret market conditions with a focus on reversals. Designed for lower timeframes, it provides flexible tools to analyze price behavior across multiple lenses: trend, strength, volatility, and regime. With extensive configuration options and visual modes, the indicator caters to both discretionary and systematic traders who seek real-time confirmation of price exhaustion or momentum shift. The inclusion of Gaussian smoothing, multiple moving average types, and an integrated regime detector makes it a highly adaptable tool within a structured trading system.
⚠️ Disclaimer
This indicator is a technical analysis tool and does not guarantee results. It should be used in conjunction with additional analysis methods and proper risk management strategies. The creators of this indicator are not responsible for any financial decisions made based on its signals.
CVD 5 lines configurableENG:
CVD = Cumulative Volume Delta
Volume delta in this script is calculated as an approximation:
if the candle is bullish (close > open) → delta = +volume
if the candle is bearish (close < open) → delta = −volume
if it’s a doji (close == open) → delta = 0
Then the script creates a cumulative sum over time (ta.cum(delta)), meaning:
when buying pressure dominates → CVD rises
when selling pressure dominates → CVD falls
This is not “true” bid/ask delta (TradingView usually doesn’t have tape data), but a practical approximation based on candle direction and volume.
What the 5 lines represent
You have 5 lines in the panel:
Line 1: CVD (raw cumulative delta)
Line 2: MA on CVD (e.g. EMA 21)
Line 3: MA on CVD (e.g. EMA 50)
Line 4: MA on CVD (e.g. EMA 200)
Line 5: MA on CVD (custom, e.g. 100)
For lines 2–5 you can set:
MA type: EMA / SMA / RMA / WMA
length
color
line width
visibility (on/off)
How to read it in practice
CVD above its MAs → buying dominance (demand momentum)
CVD below its MAs → selling dominance (supply momentum)
CVD crossing an MA or shorter MA crossing a longer MA → change in demand/supply momentum
the longer the MA (e.g. 200), the more it reflects the background / volume trend
Divergences: what the ^ and v markers mean
The script detects regular divergences between price and CVD at pivots (local highs/lows).
Pivots mean the signal appears with a delay of pLen candles (this is normal).
Bullish divergence ( ^ marker )
price makes a lower low (LL)
CVD makes a higher low (HL)
➡️ suggests that despite price falling, selling pressure is weakening / accumulation is occurring → potential bounce.
Bearish divergence ( v marker )
price makes a higher high (HH)
CVD makes a lower high (LH)
➡️ suggests that despite price rising, buying pressure is weakening / distribution → potential pullback or drop.
What this is used for
Trend confirmation: whether moves have real volume “fuel”
Early warnings: divergences often appear before price reversals
Entry filters: e.g. only take LONGs when CVD > MA(200), or when after a divergence CVD breaks above MA(21)
Most important limitation
CVD here is an approximation (based on candle direction).
On some instruments / timeframes it works very well, on others less so — therefore it’s best used as a confirmation tool, not a standalone signal.
Personally recommended settings
EMA 8
EMA 34
EMA 50
EMA 200
I do not use divergence markers personally, although that may simply mean I haven’t found the right settings yet.
Simple cheat sheet (remember this)
Price CDV What it means Bias
↑ ↑ real buying LONG
↓ ↓ real selling SHORT
↑ ↓ distribution SHORT soon
↓ ↑ accumulation LONG soon
Daytime Bull/Bear IndicatorThis is an indicator that uses moving averages and support/resistance levels to quickly determine whether to enter the market.
The above is for personal academic research and does not constitute any investment advice.
這是一個藉由均線以及支撐壓力的指標
快速判斷是否可進場
-------------------------------------------------
＊以上皆為個人學術研究，不構成任何建議投資＊
Lionmaker's Orb Trader (Beta) - For the Berevers.Orb trader with some ITC variables. Wait for ORB to form, then jump in for scalps if you see it print. Not financial advice.
VWMA SuperTrend | RakoQuantVWMA SuperTrend | RakoQuant is a volume-weighted trend regime system built from first principles using a VWMA equilibrium baseline and a classic ATR volatility envelope, engineered for clean directional state detection, systematic backtesting, and portfolio-ready regime filtering.
This script is part of the RakoQuant protected research line, combining institutional-grade visuals, persistent regime logic, and a full indicator-native performance table normally reserved for strategies.
Core Concept
This indicator answers one key question:
Is price trending above a volume-weighted equilibrium (bull regime), trending below it (bear regime), or transitioning between states?
Unlike standard SuperTrend variants that anchor to price averages with no volume context, this version anchors trend structure to VWMA, meaning:
* High-volume candles have higher influence
* Regime shifts reflect real participation
* Trend containment becomes more structurally valid in crypto and high-variance markets
How It Works
1. VWMA Equilibrium Baseline (Participation-Weighted Mean)
The core baseline is:
VWMA(Source, Length)
This produces a regime anchor that reflects where price is being accepted with volume, not just where price traded.
The default implementation uses High as the source to align regime structure with aggressive buying pressure during expansions.
2. ATR Volatility Envelope (SuperTrend Bands)
Volatility is defined through ATR, forming upper/lower containment bands around the VWMA mean:
* Upper Band = VWMA + Factor × ATR
* Lower Band = VWMA − Factor × ATR
A trailing-band SuperTrend engine ensures the active band persists until a flip condition occurs, creating a true state model rather than candle-to-candle noise.
3. Intraday Signal Smoothing (Anti-Chop Filter)
To reduce whipsaw on lower timeframes, the script includes an optional smoothing module:
* VWMA baseline smoothing (EMA)
* ATR smoothing (EMA)
Enabled only in Intraday Mode, preserving clean swing behavior while improving lower timeframe stability.
4. Persistent Regime State + Flip Events
The indicator maintains a persistent state:
* Bull Regime: trend band flips bullish (green state)
* Bear Regime: trend band flips bearish (red state)
Flip events are exposed through:
* Alerts
* Optional BUY / SELL labels
* Backtest table engine
RQ Visual Engine (UniStrat Palettes)
This protected release includes the full RQ Visual Engine with premium palette support:
✅ Classic
✅ Alpha
✅ Desert
✅ Premium
✅ Navy
✅ Warm
✅ Toxic
✅ Neo
✅ Matrix
All line colors, fills, candle painting, and dashboard styling inherit the selected palette automatically.
♛ RQ Custom Metrics (Indicator Backtest)
The defining feature of this protected script is the built-in:
♛ RQ Custom Metrics Engine
A full indicator-native backtest system that outputs performance statistics without converting to a strategy.
The dashboard reports:
* Equity Max Drawdown
* Intra-Trade Max Drawdown
* Profit Factor
* % Profitable
* Sharpe Ratio
* Sortino Ratio
* Omega Ratio Ω
* Half Kelly Exposure
* Total Trades
* Net Profit %
Displayed inside the signature table:
𝓑𝓪𝓬𝓴𝓽𝓮𝓼𝓽 𝓜𝓮𝓽𝓻𝓲𝓬𝓼
This allows systematic evaluation before building a full execution model.
How To Use
✅ Trend regime confirmation tool
✅ Directional filter for RSPS / UniStrat systems
✅ Volume-weighted SuperTrend containment model
✅ Works best on 4H–1D for swing structures, and 15m–1H with Intraday smoothing enabled
Recommended workflow:
* Only trade long when regime is bullish
* Defensive/cash when regime flips bearish
* Combine with breakout or momentum execution confluences
Screenshot Placement
📸 Example chart / screenshot:
MultiTF EMA OverlayIndicator overlay with optimal EMAs across multiple timeframes (15m, 30m, 1h, 4h) that can be enabled or disabled using flags.
EMA stands for Exponential Moving Average.
MS TRADING (STRATEGY)This indicator is designed to help traders identify market trend, key support & resistance levels, and high-probability trade zones.
It combines moving averages and price structure to provide clear visual signals directly on the chart.
This tool can be used for scalping, intraday, and swing trading across Forex, Crypto, and Indices.
⚠️ Disclaimer: This indicator is for educational purposes only and should not be considered financial advice. Always use proper risk management.
Rasta Long/ShortRasta Long/Short
Rasta Long/Short is a rule-based, state-flip trading strategy designed for structural market analysis and systematic behavior study. The strategy models directional regime changes using the relationship between a fast EMA and a smoothed reference line, with optional higher-timeframe trend filtering and clearly defined risk boundaries.
The system operates as a binary state machine: price action is interpreted as either bullish or bearish based on crossover dynamics, and positions flip accordingly. The objective is not prediction, but consistent response to confirmed structural shifts in momentum.
Core Logic Overview
At its foundation, the strategy compares:
An EMA of the selected source, and
A smoothed version of that EMA (SMA / EMA / RMA / WMA selectable).
Crossovers between these two lines define directional transitions:
A crossover to the upside signals a bullish state.
A crossover to the downside signals a bearish state.
These transitions are treated as state changes, not discretionary signals, allowing the strategy to alternate cleanly between long and short exposure or operate in restricted modes.
Trade Modes
The strategy supports three execution modes:
Long Only – participates only in bullish regimes.
Short Only – participates only in bearish regimes.
Long + Short – flips continuously between both states.
This flexibility allows the same framework to be studied across different asset classes, market conditions, and directional biases.
EMA 8/21 Trend Filter (Optional)
An optional EMA 8 / EMA 21 filter can be enabled to gate bullish entries only, while bearish logic remains ungated. This asymmetric design reflects the reality that many markets exhibit different behavior on the upside versus the downside.
An adaptive release mechanism is included:
If the EMA 8/21 filter flips bullish while the internal state is already bullish, the strategy can enter immediately rather than waiting for a new crossover.
This helps reduce missed transitions during strong trend resumptions.
Execution Model
Signals are evaluated in real time with per-bar locking to prevent duplicate actions.
A bar-close backup path is included to ensure structural flips are not missed.
Position management enforces one active position at a time.
All flips are handled explicitly (long → short → long) to maintain clean state transitions.
Risk Management
Risk is handled through independent fixed stop-loss levels for long and short positions, defined as a percentage of entry price. These stops are:
Direction-specific
Always active once a position is open
Visualized directly on the chart (optional)
The strategy does not rely on profit targets or curve-fitting logic. Risk control is explicit and transparent.
Visual Structure
To support visual analysis, the strategy includes:
EMA and smoothed reference plots
Optional colored “fog” between lines to highlight directional state
Optional structural “DNA rungs” drawn between the EMA and smoothed line to visualize compression, expansion, and regime shifts
Optional labels marking state transitions
All visual elements can be enabled or disabled independently.
Intended Use
This script is provided as a research and educational framework for studying trend structure, state transitions, and systematic execution logic. It is suitable for:
Market structure analysis
Strategy behavior comparison across assets and timeframes
Educational review of state-based trading systems
It is not a prediction tool and makes no claims regarding profitability or performance.
Notes
Results will vary by market, timeframe, and configuration.
Users are encouraged to study behavior across different conditions rather than relying on a single configuration.
All parameters are fully adjustable to support experimentation and learning.
EMA 5/9/21/50/200 + VWAP + Supertrend singhsinnerBest for Intraday and positional. no need to add other indicators. extremely strong trend price move with 5ema, for rentry see 21ema as support. 9 & 21 cross above for fresh entry n cross down for exit. 5ema for early entry
MoonRush V2📌 MoonRush V2 – Trend, EMA, ATR & RSI Toolkit
MoonRush V2 is a technical analysis indicator designed to help traders visualize
market trend, volatility-based price zones, RSI extremes, and trade planning levels
by combining multiple analytical tools into a single, configurable indicator.
This indicator is for educational and analytical purposes only.
It does not provide financial advice or guarantee trading results.
🔹 1. EMA Trend System
MoonRush V2 uses a dual EMA system as its primary trend detection method:
Fast EMA (default: 38)
Slow EMA (default: 62)
Optional EMA smoothing to reduce market noise
Trend Definition
Bullish Trend: Fast EMA crosses above Slow EMA
Bearish Trend: Fast EMA crosses below Slow EMA
If no crossover occurs, the previous trend state is maintained
The indicator can optionally:
Color EMA lines
Color price bars
Apply background shading
Fill the area between EMAs
All visual elements can be enabled or disabled via the ALL SWITCH panel.
🔹 2. Trend Visualization
To improve chart readability:
Green color represents bullish conditions
Red color represents bearish conditions
“BULL” and “BEAR” labels appear on EMA crossovers
This allows traders to quickly identify the prevailing market direction.
🔹 3. River System (ATR-Based Zones)
The River System is a volatility-based price zone framework built using:
An EMA as the central reference line
Long-period ATR to reflect broader market volatility
The system generates:
Support levels: S1 / S2 / S3
Resistance levels: R1 / R2 / R3
These levels are displayed as filled zones:
Green zones indicate support areas
Red zones indicate resistance areas
They are intended to highlight areas where price may react or consolidate.
🔹 4. RSI Extreme Visualization
MoonRush V2 integrates RSI analysis to identify extreme market conditions:
Multiple Oversold levels (e.g., 20 / 30 / 40)
Multiple Overbought levels (e.g., 60 / 70 / 80)
When RSI reaches extreme values:
Diamond and circular markers appear
Signals are aligned with outer River levels (S3 / R3)
This helps visualize potential exhaustion or pullback zones.
🔹 5. Overbought / Oversold Area Boxes
When RSI remains:
Above the Overbought threshold → a red price box is drawn
Below the Oversold threshold → a green price box is drawn
These boxes dynamically expand based on price highs and lows,
highlighting price regions associated with RSI extremes directly on the chart.
🔹 6. Multi-Timeframe Trend Dashboard
A built-in table displays trend and RSI information across multiple timeframes:
Chart timeframe
1m / 5m / 15m / 30m
1h / 4h / 1D
For each timeframe, the table shows:
Trend direction (Bullish / Bearish) based on EMA alignment
RSI value
Color coding:
Green background = RSI above 50
Red background = RSI below 50
This feature supports top-down and multi-timeframe analysis.
🔹 7. Entry Reference (EMA Crossover)
Reference signals are generated when:
EMA crossover occurs → BUY reference
EMA crossunder occurs → SELL reference
These signals are visual references only and are not automated trade orders.
🔹 8. TP / SL Projection (ATR-Based)
The indicator can project potential trade management levels using ATR:
Entry reference price
Take Profit levels (TP1 / TP2 / TP3)
Optional Stop Loss level
All levels are volatility-adjusted and extend forward on the chart
to assist with risk and reward planning.
🔹 9. Event & Statistics Table
MoonRush V2 includes an informational event table that tracks:
Number of signals generated per day
Win / Loss outcomes (based on TP or SL interactions)
Daily win rate
Drawdown of the most recent signal
Maximum drawdown for the day
The data resets automatically each day
and is displayed as a readable message table on the chart.
⚠️ Disclaimer
MoonRush V2 is a technical analysis tool for educational use only.
It does not constitute financial advice or investment recommendations.
Users should test, adjust parameters, and manage risk according to their own strategy.
EMA 9 / 15 / 20 / 26EMA 9 / 15 / 20 / 26 – Multi EMA Trend Indicator (Pine Script v6)
This indicator plots four Exponential Moving Averages (EMAs) — 9, 15, 20, and 26 — on the price chart to help traders identify trend direction, momentum strength, and dynamic support/resistance zones.
Designed for scalping, intraday trading, and swing trading, this script works across Forex, Crypto, Stocks, Indices, and Commodities on all timeframes.
🔹 EMA Settings & Color Coding
EMA 9 (Red) → Very fast momentum
EMA 15 (Green) → Short-term trend
EMA 20 (Yellow) → Intermediate trend filter
EMA 26 (Blue) → Trend confirmation & pullback zone
📈 How to Use
Bullish Trend
EMA 9 > EMA 15 > EMA 20 > EMA 26
Price holding above EMAs
Buy on pullbacks toward EMA 15 / EMA 20
Bearish Trend
EMA 9 < EMA 15 < EMA 20 < EMA 26
Price below EMAs
Sell on pullbacks toward EMA 15 / EMA 20
Sideways Market
EMAs tangled together
Avoid trades or switch to range strategies
✅ Best Use Cases
EMA crossover confirmation
Trend filtering for scalping strategies
Pullback entries
Support & resistance mapping
Works perfectly with UT Bot, RSI, MACD, VWAP, Price Action
⚙️ Features
✔ Lightweight & non-repainting
✔ Pine Script Version 6 compliant
✔ Works on all symbols & timeframes
✔ Beginner-friendly & professional-grade
⚠️ Disclaimer
This indicator is for educational purposes only. It does not provide financial advice. Always use proper risk management and confirm signals with additional indicators or price action.
SQZMOM + Donchian [jakdongjung]📌 Overview
This strategy is designed to capture high-probability "breakout" moves that occur after periods of low volatility. It combines the legendary Squeeze Momentum logic with a 200-period SMA trend filter and uses Donchian Channels for a robust trailing stop-loss.
The core philosophy is simple: Wait for the market to "squeeze" (compress), then enter when volatility expands in the direction of the major trend.
🛠 Key Components
Squeeze Momentum (The Engine): It compares Bollinger Bands (volatility) to Keltner Channels (average range). When Bollinger Bands are inside the Keltner Channels, the market is in a "Squeeze." We enter when the squeeze releases, indicating a surge in momentum.SMA 200 Filter (The Compass): To increase the win rate, the strategy only takes Long trades when the price is above the 200 SMA and Short trades when the price is below it.Donchian Channel (The Guard): Instead of a fixed percentage stop, we use the lowest low (for longs) or highest high (for shorts) of the last $n$ bars. This allows the stop-loss to move dynamically with the market.Smart Risk Management (The Foundation): The strategy automatically calculates your Position Size based on your risk appetite (default 2% of total equity). It looks at the distance to your stop-loss and tells you exactly how much to buy or sell.
📈 Entry Conditions
Long Entry (Buy)Volatility: The "Squeeze" must be releasing (Grey or Blue bars).
Momentum: The Squeeze histogram must be positive (above the zero line).
Trend Filter: The current price must be above the 200 SMA.
Entry Mode: Can be set to "Strict" (only on the first release) or "Any" (anytime the momentum is positive and not in a tight squeeze).
Short Entry (Sell)Volatility: The "Squeeze" must be releasing.
Momentum: The Squeeze histogram must be negative (below the zero line).
Trend Filter: The current price must be below the 200 SMA.
📉 Exit & Stop Loss
LogicTrailing Stop: The strategy uses the Donchian Channel as a trailing exit.
For Longs, the exit is triggered if the price hits the lowest low of the last 20 bars (customizable).For Shorts, the exit is triggered if the price hits the highest high of the last 20 bars.
Visual Aid: The stop-loss levels are plotted on your chart in real-time (Red for Long, Green for Short) only when a position is active, keeping your chart clean.
💰 Money Management Rule
This strategy does not use a "fixed lot" size. It uses Dynamic Position Sizing
🚀 How to use this for study
Observe the "Grey Zone": Notice how the strategy prepares for a move when the dots turn from red to grey.
Trend Alignment: Watch how the 200 SMA prevents "fake-outs" during a counter-trend squeeze.
Backtest: Use the TradingView Strategy Tester to see how the Risk Management protects your capital during losing streaks.
Happy Trading and stay disciplined!
InvestomThis system generates buy and sell signals based on the momentum in stock prices. The principle is straightforward:
- Buy when a buy signal is triggered.
- Sell when a sell signal is triggered.
Momentum strategies are designed to capture trends by following the direction of price movement. However, it is important to exercise caution:
- In non-trending or sideways markets, momentum signals can become unreliable.
- Frequent false signals in such conditions may lead to rapid capital erosion due to repeated entries and exits.
Therefore, while momentum-based trading can be highly effective in trending markets, traders must remain vigilant and apply risk management techniques to protect their capital when markets lack clear direction.
Phoenix2.0's 2 EMA CrossThis indicator plots a dynamic 8 EMA vs 21 EMA ribbon with color-changing trend shading, plus optional VWAP, EMA108 (direction filter), and an EMA16 exit guide.
It triggers alerts on bull/bear EMA crossovers and flags low-separation “chop zones” to help avoid noisy entries, while showing a small table with EMA/close distance stats.
MT360MT360 – Multi-Timeframe EMA 360 Trend Overview
MT360 is a clean and powerful multi-timeframe indicator based on the EMA 360, designed to give you an instant overview of market direction across multiple timeframes.
The indicator calculates the EMA 360 simultaneously for M1, M2, M5, M15, M30, H1, H4, and D1 and dynamically colors each EMA line depending on whether price is trading above or below it. This makes it easy to instantly identify bullish and bearish conditions across different timeframes.
Key features:
🟢🔴 Dynamic color changes per timeframe (fully customizable)
🏷️ Optional labels displayed directly on each EMA line
📊 LONG/SHORT table showing the trend status of all timeframes at a glance
🎛️ Extensive customization options (colors, position, transparency, text size)
👁️ Master toggle to quickly show or hide labels and the table
MT360 is ideal for:
Trend filtering for day trading and scalping
Quick multi-timeframe market analysis
Supporting directional bias decisions (LONG vs. SHORT)
⚠️ Disclaimer:
This indicator does not generate trading signals. It is intended purely for trend and market structure analysis. Use at your own risk.
Varma's Trend Indicator (Advanced Multi-Filter Swing)It is an advanced trend-following indicator that uses smoothed Heikin-Ashi data instead of raw price to filter market noise and highlight high-quality trends.
The script calculates a normalized Trend Score (-100 to +100) based on the strength of the Heikin-Ashi candle body relative to its range, giving a clear view of momentum quality—not just direction.
Key Features
Heikin-Ashi trend engine with EMA/ALMA/ZLEMA smoothing
Multi-filter confirmation: Slope, ATR volatility, Dead-Zone, HTF momentum proxy, ADX/DI, and RSI
Two-stage signals:
BUY / SELL → early swing detection
BUY✔ / SELL✔ → momentum-confirmed entry
Color-coded trend ribbon (Green = Bullish, Red = Bearish)
Best Use
Designed for trending markets (Forex sessions, indices, high-volume stocks).
Lagging by design—focuses on probability and trend quality, not scalping.
Tip: If the ribbon flips often, enable the Dead-Zone or ADX filter to avoid sideways markets.
Nealer EMAMy EMA setup uses a stacked configuration of 8 / 21 / 55 / 244 periods, designed to capture short-, medium-, and long-term market trends simultaneously. This multi-layered approach provides clear visual cues for trend direction, support and resistance levels, and dynamic market momentum. I also have the option to overlay an anchored VWAP on an as-needed basis, which adds a context-specific reference point for price action, enhancing trade precision and decision-making. The combination of stacked EMAs and optional VWAP allows for both trend-following strategies and more tactical, volatility-aware entries and exits.
ST Buy & Sell SignalDisclaimer: This indicator is provided for educational and informational purposes only and does not constitute financial or investment advice, nor a recommendation to buy or sell any asset. Trading and investing involve risk, and past performance or indicator signals do not guarantee future results. The user is solely responsible for all trading decisions and risk management, and the creator of this indicator assumes no liability for any financial losses resulting from its use.
EDY Pivot ProThe EDY Pivot Pro indicator is a professional technical analysis tool designed to provide traders with a structured and comprehensive view of market trends.
Key Features
Pivot Points: Supports Fibonacci, Traditional, Woodie, Classic, DM, and Camarilla types.
Timeframe Mapping (Auto Anchor):
10-second candles → 15-minute pivots
1-minute candles → 1-hour pivots
5-minute candles → 4-hour pivots
1-hour and 4-hour candles → Weekly pivots
Daily candles → Monthly pivots
Weekly candles → Quarterly (calendar-based) or 13-week rolling pivots
Monthly candles → Yearly pivots
Moving Averages (SMA & EMA): Tracks trend direction using 21, 50, 100, and 200-period averages.
Slope & Flat Alerts: Detects changes in moving average slopes and identifies sideways conditions.
Pivot + 200 SMA Trend Analysis: Combines pivot levels with the 200 SMA to highlight major trend reversals.
ATR-Based Stop Levels: Establishes dynamic stop-loss levels based on volatility, with alerts when price breaches these thresholds.
Combined Trend Strength Alerts: Generates signals for strong positive or negative trends by analyzing pivot direction, 200 SMA slope, and ATR values together.
This framework provides traders with a disciplined and professional approach to monitoring both short-term price movements and long-term market trends.
