MA Labels (Fully Custom, Padded)On screen reminder of whatever you want. I use it remember what MA line colors are.
Rata-Rata Pergerakan / Moving Averages
Auto-DCF and Margin of Safety SetupDescription
Overview This indicator provides a dual-layered approach to stock valuation by combining a Discounted Cash Flow (DCF) model with Technical Momentum filters. It is designed for investors who seek to align fundamental "Fair Value" with high-probability technical entry points.
How It Works The script automates the valuation process by fetching real-time financial data directly from TradingView’s database.
Fundamental Valuation (DCF):
FCF Projections: It retrieves Free Cash Flow (TTM) and Total Shares Outstanding to calculate FCF per share.
Growth & Discounting: It projects FCF forward for 10 years based on your "Expected Annual Growth Rate" and discounts those values back to the present using the "Discount Rate" (WACC).
Terminal Value: A terminal value is calculated using a exit multiple (P/FCF) at Year 10 to account for the company's value beyond the projection period.
Intrinsic Value: The sum of all discounted cash flows and the terminal value represents the Intrinsic (Fair) Value, plotted as gray circles.
Margin of Safety (MoS):
A "Buy Limit" line (green) is plotted at a user-defined percentage below the Intrinsic Value. This represents the "Margin of Safety" popularized by Benjamin Graham to account for errors in estimation.
Technical Filters (The "Buy Setup"):
A visual Buy Zone appears only when three conditions align:
Value: Price is trading below the Margin of Safety.
Momentum: The RSI is in "Oversold" territory (default < 35).
Price Action: The stock is in a "Deep Pullback" (defined as a 15% drop from its 50-bar high).
How to Use
Settings: You must adjust the Growth Rate and Discount Rate based on the specific company’s historical performance and risk profile.
Visuals: When a setup occurs, the script draws a green box, a technical Stop Loss (based on a buffer below the low), and a Tech Target (a 50% retracement of the recent drop).
Limitations: This script requires request.financial data. It is intended for Stocks only. If no financial data is available for a ticker (e.g., Crypto or Forex), an error label will appear.
Disclaimer This script is for educational purposes only and does not constitute financial advice. DCF models are highly sensitive to input variables; small changes in growth or discount rates can significantly alter the Fair Value.
3 EMA Kesisim-Canengin15 dakikalık grafiklerde ema 8 in sırasıyla 21 ve 50 yi kesmesi ile alim satim sinyali üretir
Super SMA Trio (20 50 200)Three SMAs in one (20, 50, 200). This is self-explanatory. TradingView wants me to add more text even though nobody should have any trouble understanding the script.
Adaptive Nadaraya-Watson (Non Repainting) [Metrify]To understand this implementation of the Nadaraya-Watson estimator, we have to look at the core equation governing non-parametric regression. This script aren't trying to average prices; we are trying to find the probability density of where price should be relative to its recent history.
1. The Kernel Physics (Bandwidth Modulation)
In standard kernel regression, you have a bandwidth parameter (h). This controls the "smoothness" of the curve. If h is too low, the curve jitters with every tick of noise. If h is too high, it acts like a sluggish SMA.
A static h fails because market volatility is dynamic. When the market explodes (high volatility), a tight bandwidth generates false signals. When the market sleeps, a wide bandwidth misses the micro-trends.
It try solving this by making h a function of the Asset's volatility ratio:
heff=h×max(0.5,min(SMA(ATR20,100)ATR20,2.0))
If the current ATR(20) is double the long-term average (100), the bandwidth doubles. This forces the estimator to "zoom out" during chaos, effectively ignoring noise that would otherwise look like a reversal.
vol_ratio = use_vol ? vol_raw / (vol_base == 0 ? 1 : vol_base) : 1.0
vol_mod = math.max(0.5, math.min(vol_ratio, 2.0))
h_eff = h_val * vol_mod
2. The Gaussian Loop (Endpoint Estimation)
Standard Nadaraya-Watson scripts repaint because they calculate the regression over a full window centered on the bar. To make this usable for live trading, we must calculate the Endpoint Estimate.
We iterate backward from the current bar (i=0) to the lookback limit. For every historical price Xi, we calculate a weight wi based on how far away it is in time (distance).
The weight is derived from the Gaussian Kernel function:
wi=exp(−2heff2i2)
Price data closer to the current bar (i=0) gets a weight near 1.0. Data further away (i=50) decays exponentially toward 0.
for i = 0 to lookback by 1
float dist = float(i)
float w = math.exp(-math.pow(dist, 2) / (2 * math.pow(h_eff, 2)))
num := num + w * src
den := den + w
3. Statistical Deviation (MAE vs. StDev)
Most Bollinger Band-style indicators use Standard Deviation (Root Mean Square). The problem with StDev is that it squares the errors, which heavily penalizes large outliers. In crypto or volatile forex pairs, one wick can blow out the bands for 20 bars.
This one use Mean Absolute Error (MAE) instead.
MAE=N1∑∣Price−y^∣
MAE is linear. It measures the average distance price strays from the kernel estimate without squaring the penalty. This creates "tighter" bands that adhere closer to price action during normal trend behavior but don't expand ridiculously during a flash crash.
Pine Script
float error = math.abs(src - y_hat)
float mae = ta.sma(error, lookback)
We project two sets of bands:
Inner Band (Balanced): The "Noise Zone". Price inside here is considered random walk.
Outer Band (Precision): The "Exhaustion Zone". Price reaching here is statistically unlikely (2.8x MAE).
Input & Visual Summary
Kernel Physics:
h_val: The base smoothness. Lower (e.g., 6) = faster, noisier. Higher (e.g., 10) = slower, smoother.
use_vol: Keep this TRUE. It prevents the bands from being too tight during news events.
Envelope Statistics:
mult_in / mult_out: These are your risk settings. 1.5/2.8 is a standard deviation-like setting suited for MAE.
SFP Trend & VWAP Liquidity Pro [Zofesu]🎯 SFP Trend & VWAP Liquidity Pro
Master the Flow with Institutional Precision.
It was primarily built on Nasdaq, sometimes works on Crypto and Commodities, mostly on Indices. Suitable for periods when the market is going sideways. Requires longer setup.
This indicator is a high-performance trading tool designed to identify Swing Failure Patterns (SFP) while maintaining strict alignment with market momentum. By combining Dynamic Liquidity Zones with a Dual-Filter Trend Engine , it ensures you only trade the most high-probability sweeps in the direction of institutional money.
🧠 The Philosophy
Trading liquidity sweeps (SFP) without a trend filter is like catching falling knives. This tool solves that by requiring Confluence . It identifies where retail stop-losses are being hunted and confirms if the major trend (VWAP/MA) is ready to defend that level.
🛠️ Key Features & Functionality
⚡ Smart SFP Detection: Automatically tracks historical Swing Highs and Lows to detect "fakeouts" where price sweeps liquidity and closes back within the range.
🛡️ Dual-Filter Trend Engine: Two fully customizable filters (EMA, SMA, HMA, or VWAP). You can use them to define a "Golden Zone" for entries.
⚓ Professional VWAP Anchoring: Choose how your volume-weighted price resets—Session, Week, Month, or Year. This allows you to track institutional value from intraday to long-term swing perspectives.
📊 Dynamic Liquidity Lines: Real-time visual tracking of the most recent "Upper" and "Lower" liquidity levels.
⚙️ Customizable Modes
The Institutional Fort: Use two slow MAs (e.g., 2000 & 5000) for maximum safety. Only take SFPs that align with the long-term macro trend.
The Volume Specialist: Combine one MA with a Weekly/Monthly VWAP. This aligns price action with pure volume-weighted value.
The Pure Aggressor: Turn off MA filters and use only Session VWAP for high-frequency scalping and rapid liquidity plays.
🚀 How to Trade with STVL Pro
Long Signal (BULL SFP): Price sweeps below a Swing Low but closes above it + Price is trending above your active Filters (A & B).
Short Signal (BEAR SFP): Price sweeps above a Swing High but closes below it + Price is trending below your active Filters (A & B).
You can preset filter A to EMA 2000
You can preset filter B to HMA 5000.
If the price is approaching the green lookback, just switch filter B to VWAP, you don't have to change the numbers. VWAP automatically uses the "Session" setting. So you will have EMA as support on the chart and VWAP will search for SFP. If HMA is closer to the red lookback zone, switch filter A to VWAP, it will search for SFP for short. SFP label may not always appear, it is very strict.
⚠️ Disclaimer
Past performance does not guarantee future results. Always use proper risk management. Designed for disciplined traders who value quality over quantity.
CTR RSI Trigger After MA CrossI use this in connection with my other indicator. Helps confirm my entries. Reach out and let me know if you want to learn how I use this for Bitcoin trading.
CTR Dual Custom MAs + PullbacksUsing this is helping me get in on the pullbacks by watching my higher frame charts and exciting on the lower timeframes. Those interested in learning my trading strategy using this indicator reach out and message back and I will connect with you through my Discord channel. It's free so no worries there.
Super EMA Trio (20 50 200)Triple EMA 20/50/200. This is self-explanatory. TradingView wants me to add more text to this because it thinks people can't figure out how to use this script. I don't know why. It seems pretty dumb of them to require more text for nothing.
Occurrence Scanner | MA Resilience & Breakout LogicThis indicator is designed to quantify the reliability of a Moving Average (MA) as a dynamic Support or Resistance level. Unlike standard crossover indicators that generate signals on every touch, this script employs a rigorous "Zone Tolerance" and "Temporal Confirmation" logic to filter out noise and classify price action into three distinct behaviors: Valid Bounce, Confirmed Breakout, or False Breakout (Trap).
It also integrates an optional Volatility Filter (based on TTM Squeeze mechanics) to prevent false signals during low-volatility "chop" regimes.
HOW IT WORKS:
1. The "Safe Zone" (Buffer Logic): Standard MAs are thin lines. This script creates a programmable "Road" around the MA (defined by the Zone Tolerance % input).
A touch is only considered a potential breakout if the price closes outside this zone.
Wicks that pierce the MA but close inside the zone are treated as Bounces (respecting the level).
2. Event Classification (The Decision Engine): Once the price interacts with the MA Zone, a "Sovereignty Window" (Lookahead Timer) is activated to monitor the subsequent candles:
✅ Bounce: Price tests the MA but never closes outside the Safe Zone during the window. The MA held as support/resistance.
❌ Breakout (Breakdown/Breakup): Price closes outside the Safe Zone. A strict "2-Consecutive Close" logic is applied to confirm the trend change immediately, avoiding premature signals.
⚠️ False Break: Price momentarily closes outside the zone but aggressively reverses to the opposite side within the time window. This identifies "Bull/Bear Traps".
3. The Volatility Filter (Anti-Chop): Market consolidation often leads to MA whipsaws.
The script calculates Bollinger Bands (2.0 std) vs. Keltner Channels (1.5 ATR).
If the Squeeze Filter is enabled in settings, the script forces the scanner to IGNORE any MA touches while volatility is compressed (Squeeze ON). This ensures signals are only generated during active trends.
SETTINGS:
MA Type & Length: Choose between SMA or EMA and the period (e.g., 20, 50, 200).
Zone Tolerance (+/- %): The buffer width. Default is 0.2%. Higher values filter more noise.
Lookahead Candles: The confirmation window size.
Squeeze Filter: Toggle On/Off to ignore signals during low volatility regimes.
INTENDED USE: This tool is intended for Swing Traders and Scalpers looking to statistically validate which Moving Average is being respected by a specific asset. It automates the "visual backtest" process, providing a Dashboard with success rates for Bounces vs. Breaks.
WT Crossover Strategy Main Chart Indicator# WT Crossover Strategy Main Chart Indicator
## Indicator Overview
The WT Crossover Strategy Main Chart Indicator is a trading signal system based on the Wave Trend (WT) indicator, specifically designed for the TradingView platform. This indicator combines WT indicator crossover signals with ATR-based take profit and stop loss calculations, providing traders with clear entry signals and explicit risk management references.
## Core Features
### 1. Trading Signal Identification
- WT Indicator Crossover Signals : Identifies potential trend reversals based on golden crosses/death crosses between WT1 and WT2
- EMA Trend Filtering : Optional EMA20 and EMA200 trend filtering to help confirm trend direction
- Entry Point Markers : Green triangles mark long entry points, red triangles mark short entry points
### 2. Risk Management Visualization
- Fixed-Length SL/TP Lines : Generates 10-bar length dashed lines at entry, marking take profit and stop loss prices
- Trigger Status Display : When take profit or stop loss is triggered, dashed lines turn solid and display "Take Profit Triggered" or "Stop Loss Triggered" labels
- ATR-Based Calculations : Automatically calculates take profit and stop loss prices using ATR indicator, adapting to different market volatility
### 3. Customizable Parameters
- Preset Symbols : Built-in optimized parameters for Gold, Rebar, Fuel Oil, Bitcoin, Ethereum, etc.
- Line Length Adjustment : Customizable display length for take profit and stop loss lines
- ATR Parameter Adjustment : Adjustable ATR period, stop loss multiplier, and take profit multiplier
- Filter Control : Enable or disable zone filtering and trend filtering
## Technical Features
- Fixed-Length Lines : Take profit and stop loss lines only display for a fixed length, avoiding chart clutter
- Status Change Markers : Intuitively displays take profit/stop loss status through line style changes and labels
- Responsive Design : Automatically adapts to different timeframes and symbols
- Clear Visual Hierarchy : Reasonable color scheme and marker size ensure clear and readable charts
## Usage Instructions
1. Load the Indicator : Apply the indicator to your chart
2. Select Symbol : Choose your trading symbol from the presets or manually adjust parameters
3. Observe Signals :
- Consider going long when green triangles appear
- Consider going short when red triangles appear
4. Set Stop Loss : Reference the red dashed line for stop loss placement
5. Set Take Profit : Reference the green dashed line for take profit placement
6. Monitor Status : When dashed lines turn solid and display labels, it indicates take profit or stop loss has been triggered
## Application Scenarios
- Trend Trading : Combined with EMA filtering to identify medium-term trends
- Swing Trading : Utilizes WT indicator's overbought/oversold characteristics to capture price reversals
- Risk Control : Implements scientific risk-reward ratio management through ATR-calculated take profit and stop loss
- Strategy Verification : Serves as an independent indicator to verify your trading strategy signals
## Notes
- This indicator is for reference only and does not constitute investment advice
- It is recommended to use in conjunction with other technical analysis tools
- Please thoroughly backtest before live trading to adapt to your trading style
- Different symbols may require parameter adjustments for optimal results
OU Signals Overlay2 OU SIGNALS OVERLAY
This indicator is designed to be used on the main price chart.
WHAT IT DOES
OU Signals Overlay uses the same logic as the OU Z-score indicator but does not display the Z-score itself.
Instead, it visualizes entries, exits, trade zones, and the second asset directly on the price chart.
HOW IT WORKS
• The same spread and mean-reversion logic is calculated internally
• Entry and exit signals are identical to the Z-score indicator
• The second asset is plotted as a normalized line on the main chart
• Entry points are marked with arrows
• Exit points are marked with a cross
• Trade zones are highlighted only after a position is opened
HOW TO USE
This indicator is primarily a visualization and execution tool.
It allows the trader to:
• See where exactly trades occur on the price chart
• Monitor price behavior during a spread trade
• Visually confirm that signals match the Z-score indicator
All parameters must match the OU Z-score indicator for signals to align.
RECOMMENDED TO USE WITH
• Ornstein–Uhlenbeck Z-score as the signal source
• Correlation Stability to ensure the pair remains statistically meaningful
Trend Regime JMA Bands (50-150-200)Trend Regime JMA Bands is a visual market-context indicator designed to help traders understand overall trend structure and short-term participation using adaptive Jurik Moving Average (JMA) bands.
This script separates market behavior into two distinct layers:
🔹 Structure (Slow Band)
Defines the dominant market regime using classic 50 / 150 / 200 moving-average relationships.
Helps identify bullish, bearish, and transitional environments.
Visual intensity adjusts based on market conditions for clarity.
🔹 Participation (Fast Band)
Represents short-term price engagement aligned with the prevailing structure.
Counter-trend momentum is intentionally filtered out.
Designed to highlight participation only when aligned with the broader trend.
A Choppiness Index (CHOP) calculation is used only to adjust visual confidence of the structural band.
CHOP does not affect trend direction, regime state, or calculations.
This indicator is intended for analysis and visual context only.
It does not generate trade signals, entries, exits, predictions, or recommendations.
⚠️ DISCLAIMER SECTION (REQUIRED & SAFE)
Add this as a separate paragraph in the description:
Disclaimer
This script is provided for educational and analytical purposes only.It is not financial advice. Trading involves risk, and past performance does not guarantee future results. The author assumes no responsibility for trading decisions made using this indicator.
For Loop THMA ~ CharonQuantThe For Loop THMA is a trend classification and momentum confirmation indicator designed to measure directional strength through relative price dominance, not raw crossings.
This indicator blends a Triple Hull Moving Average structure with a for-loop comparison engine and multiple trend quality filters to reduce noise and false signals.
Concept Overview
The core idea behind this indicator is simple:
Instead of asking “did price cross a line?”, it asks
“How often is the price stronger than its recent past?”
By looping over previous THMA values and comparing them to the current value, the indicator builds a directional score that reflects internal momentum and persistence.
This approach allows trends to be evaluated statistically rather than emotionally.
Indicator Components
The For Loop THMA is composed of four layers:
• Triple Hull Moving Average (THMA) as the smoothed price backbone
• For-loop counter to quantify relative dominance over a lookback window
• EMA trend filter to align signals with higher-timeframe bias
• ADX + DMI filter to ensure sufficient trend strength
Signals are only produced when all components align.
For-Loop Logic
The for-loop compares the current THMA value to its past values over a user-defined range.
Each comparison increments or decrements a counter, producing an oscillator that reflects bullish or bearish pressure.
Optional weighting can be enabled to give more importance to recent price action.
This counter becomes the primary decision engine of the indicator.
Visual Interpretation
• The oscillator displays the strength and direction of the trend
• Threshold lines define bullish and bearish regimes
• Bar coloring reflects the active trend state
• Color intensity adapts to directional confidence
Credits and Inspiration
This indicator is inspired by and builds upon:
• THMA ~ CharonQuant
• For Loop MA Indicator from CraftMan18
Development and usage notes:
You must tweak the parameters to fit your market, timeframe, and trading style.
If you do not read this description or do not understand what the indicator is designed to do, do not use it.
Indicators amplify both discipline and mistakes.
Important reminder: No single indicator is sufficient on its own.
Brahmastra Moving Average ADX🔱 BRAHMASTRA MOVING AVERAGE ADX 🔱
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A precision trend detection system that fuses the Average Directional Index (ADX) with a dynamic Weighted Moving Average (WMA) to deliver crystal-clear trend signals.
█ HOW IT WORKS
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This indicator analyzes both TREND STRENGTH (via ADX) and TREND DIRECTION (via +DI/-DI) to color-code the moving average:
🟢 GREEN MA = Strong Uptrend (ADX > threshold + Bullish bias)
🔴 RED MA = Strong Downtrend (ADX > threshold + Bearish bias)
⚫ GRAY MA = Ranging/Weak Trend (ADX below threshold)
█ KEY FEATURES
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✅ ADX-Based Trend Confirmation - Only signals when trend strength is confirmed
✅ Color-Coded WMA - Instantly identify trend direction at a glance
✅ Buy/Sell Signals - Visual markers on trend reversals
✅ Real-Time Info Panel - Live ADX, +DI/-DI values, and trend status
✅ Customizable Visuals - Adjust colors, line width, and fill zones
✅ Built-In Alerts - Get notified on trend changes
█ SETTINGS
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- DI Length (default: 14) - Period for +DI/-DI calculation
- ADX Smoothing (default: 14) - Smoothing period for ADX
- ADX Trend Threshold (default: 18) - Minimum ADX to confirm trend
- MA Length (default: 9) - Period for the Weighted Moving Average
█ HOW TO USE
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1. TREND TRADING: Enter long when MA turns GREEN, short when RED
2. RANGE FILTER: Avoid trades when MA is GRAY (ranging market)
3. CONFIRMATION: Use the info panel to verify ADX strength before entry
4. ALERTS: Set up alerts to catch trend changes automatically
█ BEST TIMEFRAMES
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Works on all timeframes. Recommended: 15M, 1H, 4H, Daily
█ CREDITS
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Developed by Brahmastra Trading Systems
Inspired by the legendary ADX indicator by J. Welles Wilder Jr.
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💡 Like & Follow for more premium indicators!
Nokor Traders CRTThis indicator combines three powerful tools in one to improve market analysis and trading decisions:
• Higher Timeframe Candlestick View – Helps traders understand overall market structure, momentum, and key price behavior from larger timeframes.
• Asia, London, and New York Killzone Sessions – Highlights major market trading sessions to help identify high-liquidity periods and potential volatility opportunities.
• Heikin Ashi Trend Line – Assists in detecting trend direction and potential reversal points with smoother price visualization.
This all-in-one indicator is designed to help traders identify market bias, session volatility, and trend changes more clearly and efficiently.
Admin t.me
Cyberpunk Neural Flux■ Core Concept: The "Cyberpunk Neural Flux" is engineered based on the "Trend Template" logic favored by institutional growth investors and hedge funds.
It monitors the interaction between the 150 MA (The Institutional Baseline) and the 15 MA (High-Frequency Momentum). Large players often use the 150 MA as the "line in the sand" for a healthy trend. This indicator visualizes when short-term momentum aligns with this critical institutional baseline, while the "Noise Gate" filters out choppy price action that traps retail traders.
■ Visual Decoding (Candle Colors)
1. ⚪ WHITE (Reversal BUY)
・Context: Downtrend (Magenta Background).
・Trigger: Price breaks ABOVE the Upper Gate (Fast MA + ATR).
・Meaning: Strong momentum has overcome the downtrend resistance.
2. 🟡 GOLD (Reversal SELL)
・Context: Uptrend (Cyan Background).
・Trigger: Price breaks BELOW the Lower Gate (Fast MA - ATR).
・Meaning: Support has collapsed with strong momentum.
3. 🌑 GRAY (Neutral / Noise)
・Trigger: Price is trapped inside the "Noise Gate" (between Upper & Lower bands).
・Meaning: DO NOT TRADE. The market is indecisive or consolidating.
4. 🟦 CYAN / 🟪 MAGENTA (Trend Follow)
・Meaning: Trend is healthy and continuing outside the noise gate.
■ コンセプト: 「Cyberpunk Neural Flux」は、ヘッジファンドや機関投資家が重視する「トレンド・テンプレート」のロジックに基づいて設計されています。
彼らが「中期トレンドの生命線」として防衛する 150MA(ベースライン)と、短期アルゴリズムが反応する 15MA(モメンタム)の相互作用を監視します。大口投資家が意識するトレンド方向と、短期的な勢いが合致した瞬間のみを可視化し、「ノイズゲート」機能によって個人投資家が狩られやすいレンジ相場を徹底的に排除します。
■ 色の読み方(ローソク足)
1. ⚪ WHITE / 白(反転 - 買い)
・状況: 背景がマゼンタ(下落中)。
・条件: 価格が「15MA + ノイズ幅」を上抜いた。
・意味: 単なるMAタッチではなく、明確な反発エネルギーが確認された状態。
2. 🟡 GOLD / 金(反転 - 売り)
・状況: 背景がシアン(上昇中)。
・条件: 価格が「15MA - ノイズ幅」を下抜いた。
・意味: 単なる押し目ではなく、サポートラインが明確に決壊した状態。
3. 🌑 GRAY / グレー(ノイズ - 待機)
・条件: 価格がゲートの内側(15MA付近)で推移している。
・意味: 「手出し無用」。方向感がなく、エネルギーを溜めている状態です。
4. 🟦 シアン / 🟪 マゼンタ(順張り)
・意味: トレンドが健全に継続中。
Smooth Accelarating RSISmooth Accelerating RSI (SA RSI) | MisinkoMaster
Smooth Accelerating RSI is a refined long-term momentum oscillator designed to deliver smoother RSI behavior while preserving the ability to react when momentum begins to accelerate. The indicator focuses on reducing noise typically found in standard RSI calculations while maintaining responsiveness during meaningful trend transitions.
This makes it particularly suitable for traders who prefer longer-term structure analysis or want cleaner signals across volatile markets.
Key Features
Smoother, longer-term RSI behavior compared to standard RSI
Momentum acceleration component for faster reaction to trend changes
Multiple moving average types supported for flexible smoothing behavior
Configurable trend and value-zone thresholds
Visual trend labeling and colored candles for intuitive reading
Divergence-style momentum histogram for shift detection
Adaptive smoothing to balance responsiveness and stability
How It Works
The indicator builds on traditional RSI logic but introduces layered smoothing and acceleration techniques to improve stability while preserving responsiveness.
Instead of relying on a single smoothing pass, the oscillator blends multiple smoothing layers and applies adaptive acceleration logic. This allows the RSI to remain calm during consolidation yet react quickly when momentum begins to expand.
An additional momentum change component highlights acceleration or deceleration phases, helping traders detect potential trend continuation or exhaustion.
The result is an RSI variant that behaves more smoothly over longer horizons while still adapting when market momentum shifts.
Inputs Overview
Source — Selects the price source used in RSI calculations
RSI Length — Controls the primary RSI calculation period
Smooth Accelerating Length — Controls final smoothing and acceleration responsiveness
MA Type — Selects which moving average method is applied throughout calculations
ALMA Offset & Sigma — Parameters used only when ALMA smoothing is selected
Upper Threshold — Level signaling bullish trend bias
Lower Threshold — Level signaling bearish trend bias
Overbought Threshold — Defines potential exhaustion zones on the upside
Oversold Threshold — Defines potential exhaustion zones on the downside
Usage Notes
Designed for smoother, longer-term momentum tracking
Suitable for traders preferring fewer but more stable signals
Momentum histogram helps identify acceleration or weakening trends
Threshold crossings can indicate directional shifts
Overbought and oversold zones may help locate pullback opportunities
Works best when combined with price action or confirmation tools
Always test parameters according to asset volatility and timeframe
Summary
Smooth Accelerating RSI provides a calmer and more structured alternative to standard RSI while preserving the ability to detect meaningful momentum changes. It is well suited for traders seeking cleaner long-term signals without losing awareness of emerging trend acceleration.
[Saga Trading] Moving Average ProThis open-source indicator provides trend and market structure context using multiple moving averages.
It allows traders to visualize several moving averages simultaneously, with configurable calculation methods (EMA, SMA, or RMA), in order to better assess trend alignment, momentum, and structural bias.
Common references such as the 50-period and 200-period averages are included because they are widely observed by market participants. Crossovers between these averages (often referred to as golden or death crosses) are displayed as structural information only and should not be interpreted as trading signals.
The purpose of this tool is to help traders understand market structure and trend context, not to generate entries or exits.
This indicator is intended for educational and analytical purposes and should be used alongside price action and broader market analysis.
WMA MAD Trend | RakoQuantWMA MAD Trend | RakoQuant is a robust volatility-regime trend system built on Weighted Moving Average structure and Median Absolute Deviation dispersion, engineered to produce clean directional states while suppressing wick-driven noise and unstable ATR distortions.
This tool belongs to the RakoQuant protected research line, combining a smooth WMA baseline, statistically robust volatility envelopes (MAD bands), SuperTrend-style regime logic, and a strength-aware visualization layer designed for consistent performance across trending, mean-reverting, and mixed market environments.
Core Concept
This indicator answers one fundamental question:
Is price holding a statistically meaningful deviation from its WMA baseline, or reverting back into range?
Unlike classic SuperTrend variants that rely on ATR (highly sensitive to spikes and wicks), WMA MAD Trend uses Median Absolute Deviation as its volatility engine — a robust dispersion measure that remains stable in the presence of outliers.
How It Works
1) WMA Baseline (Directional Structure)
At its core, the indicator defines the market’s structural center using a Weighted Moving Average:
* WMA Baseline tracks directional bias with smoother, trend-weighted responsiveness
* The baseline can optionally be smoothed further in intraday mode to reduce micro-chop
This provides a stable anchor for dispersion-based regime classification.
2) MAD Volatility Engine (Robust Dispersion Core)
Instead of ATR, volatility is measured via Median Absolute Deviation (MAD) around the baseline:
* Compute absolute deviation:
|Close − Baseline|
* Take rolling median of deviation over madLen
* Optional normalization scales MAD toward a stdev-like measure (via constant factor)
This makes volatility estimation:
* Outlier-resistant
* Wick-resistant
* Regime-stable during abnormal price spikes
3) MAD Bands + SuperTrend Trailing Logic (Regime State Model)
Bands are built as:
* Upper Band = Baseline + Factor × MAD
* Lower Band = Baseline − Factor × MAD
Then classic SuperTrend-style trailing constraints are applied so the active band persists until a true regime break occurs.
That produces a state engine:
* Bull regime when price breaks above the trailing upper logic (transition into trend-up state)
* Bear regime when price breaks below the trailing lower logic (transition into trend-down state)
This behaves like a structural market regime model, not a reactive oscillator.
4) Strength Engine (Deviation-Based Intensity)
A defining layer of this tool is the MAD Z-score intensity system:
* Compute Z-score:
z = |Close − Baseline| / MAD
* Map into a 0 → 1 strength scale
Interpretation:
* Low deviation = weak regime confidence (likely chop / mean reversion)
* High deviation = strong regime confidence (trend expansion)
5) Intensity Visual Engine (Signal Clarity Layer)
WMA MAD Trend includes a protected visual engine that scales opacity with strength:
* Strong expansion = solid trend band
* Weak deviation = faded band
This gives immediate clarity:
Not all flips are equal — strength is displayed structurally.
6) Optional Institutional Filters
Two optional confirmation modules allow institutional-grade filtering:
Baseline Confirmation
* Bull flips only accepted if price is above baseline
* Bear flips only accepted if price is below baseline
EMA Stack Filter
* Bull only when Fast EMA > Slow EMA
* Bear only when Fast EMA < Slow EMA
These modules make the tool suitable for:
* Directional portfolio bias frameworks (RSPS)
* Regime classification overlays
* Trend confirmation filters for execution systems
7) Strong Flip Tier Alerts
Signal quality is tiered:
* Standard flip alerts
* Strong flip alerts only when deviation strength exceeds a threshold
This produces a higher-confidence regime transition model for swing positioning and exposure scaling.
How To Use
✅ Trend regime overlay
✅ Wick-resistant volatility trend filter
✅ MAD-based deviation strength engine
✅ Directional bias tool for portfolio systems
Best use cases:
* 1H–1D trend frameworks
* Regime filters for signal stacking
* Chop suppression in volatile markets
Suggested workflow:
* Bull bias when the regime is bullish and strength is rising
* Reduce risk / defensive when strength fades or a bearish flip occurs
* Pair with execution tools (breakout/mean-reversion entries) for timing
Screenshot Placement
📸 Example chart / screenshot: snapshot
Gartley + RSI Div + CDC ActionZone Alert//@version=5
indicator("Gartley + RSI Div + CDC ActionZone Alert", overlay=true)
// --- 1. CDC Action Zone Logic ---
ema12 = ta.ema(close, 12)
ema26 = ta.ema(close, 26)
isBlue = close > ema12 and ema12 < ema26
isGreen = ema12 > ema26
cdcSignal = isBlue or isGreen
// --- 2. RSI Bullish Divergence Logic ---
rsiVal = ta.rsi(close, 14)
lbR = 5 // Lookback Left
rbR = 5 // Lookback Right
minLow = ta.pivotlow(rsiVal, lbR, rbR)
isDiv = false
if not na(minLow)
prevLow = ta.valuewhen(not na(minLow), minLow , 0)
prevPrice = ta.valuewhen(not na(minLow), low , 0)
if rsiVal > prevLow and low < prevPrice
isDiv := true
// --- 3. Gartley Approximation (D-Point Focus) ---
// ส่วนนี้ใช้ ZigZag พื้นฐานเพื่อหาจุดกลับตัว (Simplified for Alert)
sz = input.int(10, "ZigZag Sensitivity")
ph = ta.pivothigh(high, sz, sz)
pl = ta.pivotlow(low, sz, sz)
// เงื่อนไขรวม (Combo Strategy)
// ราคาอยู่ที่จุดต่ำสุดใหม่ (Potential D) + RSI ขัดแย้ง + CDC เริ่มเปลี่ยนสี
buyAlert = isDiv and cdcSignal and not na(pl)
// --- การแสดงผลบนกราฟ ---
plotshape(buyAlert, title="Gartley-CDC Buy", style=shape.labelup, location=location.belowbar, color=color.green, text="BUY SETUP", textcolor=color.white, size=size.small)
// วาดเส้น EMA สำหรับ CDC
plot(ema12, color=color.red, linewidth=1)
plot(ema26, color=color.blue, linewidth=1)
// --- ระบบการแจ้งเตือน (Alerts) ---
if buyAlert
alert("SPA Style Setup Found: Gartley D-Point + RSI Div + CDC Signal!", alert.freq_once_per_bar)
Manus KI TradingManus Machiene Learning Beast – Indicator Description
Settings
Use 1h Chart
Use Regime filter: 0.5
Use ADX 20
Use SMA 200
and be happy...
Overview
Manus Machiene Learning Beast is an advanced TradingView indicator that combines Machine Learning (Lorentzian Classification) with trend, volatility, and market regime filters to generate high-quality long and short trade signals.
The indicator is designed for rule-based, disciplined trading and works especially well for set-and-forget, semi-automated, or fully automated execution workflows.
⸻
Core Concept
At its core, the indicator uses a machine-learning model based on a modified K-Nearest Neighbors (KNN) approach.
Instead of standard Euclidean distance, it applies Lorentzian distance, which:
• Reduces the impact of outliers
• Accounts for market distortions caused by volatility spikes and major events
• Produces more robust predictions in real market conditions
The model does not attempt to predict exact tops or bottoms.
Instead, it estimates the probable price direction over the next 4 bars.
⸻
Signal Logic
Long Signals
A long signal is generated when:
• The ML model predicts a positive directional bias
• All enabled filters are satisfied
• A new directional change is detected (non-repainting)
• Optional trend filters (EMA / SMA) confirm the direction
• Optional kernel regression confirms bullish momentum
📍 Displayed as a green label below the bar
Short Signals
A short signal is generated when:
• The ML model predicts a negative directional bias
• Filters confirm bearish conditions
• A new directional change occurs
• Trend and kernel filters align
📍 Displayed as a red label above the bar
⸻
Filters & Components
All filters are modular and can be enabled or disabled individually.
1. Volatility Filter
• Avoids trading during extremely low or chaotic volatility conditions
2. Regime Filter (Trend vs Range)
• Attempts to filter out sideways markets
• Especially important for ML-based systems
3. ADX Filter (Optional)
• Trades only when sufficient trend strength is present
4. EMA / SMA Trend Filters
• Classic trend confirmation (e.g., 200 EMA / 200 SMA)
• Ensures trades are aligned with the higher-timeframe trend
5. Kernel Regression (Nadaraya-Watson)
• Smooths price behavior
• Acts as a momentum and trend confirmation filter
• Can be used in standard or smoothed mode
⸻
Moving Average Overlays
For visual market context, the indicator includes optional overlays:
• ✅ SMA 200
• ✅ HMA 200
Both can be toggled via checkboxes and are visual aids only, unless explicitly enabled as filters.
⸻
Exit Logic
Two exit methods are available:
1. Fixed Exit
• Trades close after 4 bars
• Matches the ML model’s training horizon
2. Dynamic Exit
• Uses kernel regression and signal changes
• Designed to let profits run in strong trends
⚠️ Recommended only when no additional trend filters are active.
⸻
Backtesting & Trade Statistics
The indicator includes an on-chart statistics panel showing:
• Win rate
• Total trades
• Win/Loss ratio
• Early signal flips (useful for identifying choppy markets)
⚠️ This is intended for calibration and optimization only, not as a replacement for full strategy backtesting.
⸻
Typical Use Cases
• Swing trading (M15 – H4)
• Rule-based discretionary trading
• Set-and-forget trading
• TradingView alerts → MT4/MT5 → EA execution
• Prop-firm trading (e.g. FTMO), with proper risk management
⸻
Important Disclaimer
This indicator:
• ❌ does not guarantee profits
• ❌ is not a “holy grail”
• ✅ is a decision-support and structure tool
It performs best when:
• Combined with strict risk management (e.g. ATR-based stops)
• Used in trending or expanding markets
• Executed with discipline and consistency
EMA 9 & 26 Crossover by SN TraderEMA 9 & 26 Crossover by SN Trader – Clean Trend Signal Indicator |
The EMA 9 & 26 Cross (+ Marker) indicator is a lightweight and effective trend-direction and momentum-shift tool that visually marks EMA crossover events using simple “+” symbols placed directly above or below price candles.
This indicator is ideal for scalping, intraday trading, and swing trading across Forex, Crypto, Stocks, Indices, and Commodities.
🔹 Indicator Logic
EMA 9 (Green) → Fast momentum
EMA 26 (Red) → Trend direction
🟢 Green “+” (Below Candle)
Appears when EMA 9 crosses ABOVE EMA 26
Indicates bullish momentum or trend continuation
🔴 Red “+” (Above Candle)
Appears when EMA 26 crosses ABOVE EMA 9
Indicates bearish momentum or potential trend reversal
📈 How to Use
✔ Look for Green “+” for bullish bias
✔ Look for Red “+” for bearish bias
✔ Trade in the direction of higher-timeframe trend
✔ Combine with RSI, UT Bot, VWAP, MACD, Support & Resistance for confirmation
✅ Best For
Trend identification
Momentum confirmation
Scalping & intraday entries
Swing trade timing
Multi-timeframe analysis
⚙️ Features
✔ Clean & minimal design
✔ Non-repainting crossover signals
✔ Works on all timeframes & markets
✔ Pine Script v6 compliant
✔ Beginner & professional friendly
⚠️ Disclaimer
This indicator is for educational purposes only and does not provide financial advice. Always use risk management and additional confirmation before trading.






















