MTC – Multi-Timeframe Trend Confirmator V2MTC – Multi-Timeframe Trend Confirmator V2
A comprehensive trend analysis indicator that systematically combines six technical indicators across three customizable timeframes, using a weighted scoring system to identify high-probability trend conditions.
ORIGINALITY AND CONCEPT
This indicator is original in its approach to multi-timeframe trend confirmation. Rather than relying on a single indicator or timeframe, it creates a composite score by evaluating six different technical conditions simultaneously across three timeframes. The scoring system weighs certain indicators more heavily based on their reliability in trend identification. The visual gauge provides an at-a-glance view of trend alignment across timeframes, making it easier to identify when multiple timeframes agree - a condition that typically produces stronger, more reliable trends.
HOW IT WORKS - DETAILED SCORING METHODOLOGY
The indicator evaluates six technical conditions on each timeframe. Each condition contributes to a composite score:
EMA 200 (Weight: 1 point)
Bullish: Price closes above EMA 200 (+1)
Bearish: Price closes below EMA 200 (-1)
Rationale: Long-term trend direction
SMA 50/200 Crossover (Weight: 1 point)
Bullish: SMA 50 above SMA 200 (+1)
Bearish: SMA 50 below SMA 200 (-1)
Rationale: Golden/Death cross confirmation
RSI 14 (Weight: 1 point)
Bullish: RSI above 55 (+1)
Bearish: RSI below 45 (-1)
Neutral: RSI between 45-55 (0)
Rationale: Momentum filter with buffer zone to avoid chop
MACD (12,26,9) (Weight: 1 point)
Bullish: MACD line above signal line (+1)
Bearish: MACD line below signal line (-1)
Rationale: Trend momentum confirmation
ADX 14 (Weight: 2 points - DOUBLE WEIGHTED)
Requires ADX above 25 to activate
Bullish: DI+ above DI- and ADX > 25 (+2)
Bearish: DI- above DI+ and ADX > 25 (-2)
Neutral: ADX below 25 (0)
Rationale: Trend strength filter - only counts when a strong trend exists. Double weighted because ADX is specifically designed to measure trend strength, making it more reliable than oscillators.
Supertrend (Factor: 3.0, ATR Period: 10) (Weight: 2 points - DOUBLE WEIGHTED)
Bullish: Direction indicator = -1 (+2)
Bearish: Direction indicator = +1 (-2)
Rationale: Dynamic support/resistance that adapts to volatility. Double weighted because Supertrend provides clear, objective trend signals with built-in stop-loss levels.
COMPOSITE SCORE CALCULATION:
Total possible score range: -10 to +10 points
Score interpretation:
Score > 2: UPTREND (majority of indicators bullish, especially weighted ones)
Score < -2: DOWNTREND (majority of indicators bearish, especially weighted ones)
Score between -2 and +2: NEUTRAL/RANGING (mixed signals or weak trend)
The threshold of +/- 2 was chosen because it requires more than just basic agreement - it typically means at least 3-4 indicators align, or that the heavily-weighted indicators (ADX, Supertrend) confirm the direction.
MULTI-TIMEFRAME LOGIC:
The indicator calculates the composite score independently for three timeframes:
Higher Timeframe (default: 4H) - Major trend direction
Mid Timeframe (default: 1H) - Intermediate trend
Lower Timeframe (default: 15min) - Entry timing
Main Trend Confirmation Rule:
The indicator only signals a confirmed trend when BOTH the higher timeframe AND mid timeframe scores agree (both > 2 for uptrend, or both < -2 for downtrend). This dual-timeframe confirmation significantly reduces false signals during choppy or ranging markets.
HOW TO USE IT
Setup:
Add indicator to chart
Customize timeframes based on your trading style:
Scalpers: 15min, 5min, 1min
Day traders: 4H, 1H, 15min (default)
Swing traders: Daily, 4H, 1H
Toggle individual indicators on/off based on your preference
Adjust Supertrend parameters if needed for your instrument's volatility
Reading the Gauge (Top Right Corner):
Each row shows one timeframe
Left column: Timeframe label
Middle column: Visual strength bars (10 bars = maximum score)
Green bars = Bullish score
Red bars = Bearish score
Yellow bars = Neutral/ranging
More filled bars = stronger trend
Right column: Numerical score
Trading Signals:
Entry Signals:
Long Entry: Wait for upward triangle arrow (appears when higher + mid TF both bullish)
Confirm gauge shows green bars on higher and mid timeframes
Lower timeframe should ideally turn green for entry timing
Chart background tints light green
Short Entry: Wait for downward triangle arrow (appears when higher + mid TF both bearish)
Confirm gauge shows red bars on higher and mid timeframes
Lower timeframe should ideally turn red for entry timing
Chart background tints light red
Position Management:
Stay in position while higher and mid timeframes remain aligned
Consider reducing position size when mid timeframe score weakens
Exit when higher timeframe trend reverses (daily label changes)
Avoiding False Signals:
Ignore signals when gauge shows mixed colors across timeframes
Avoid trading when scores are close to threshold (+/- 2 to +/- 4 range)
Best trades occur when all three timeframes align (all green or all red in gauge)
Use the numerical scores: higher absolute values (7-10) indicate stronger, more reliable trends
Practical Examples:
Example 1 - Strong Uptrend Entry:
Higher TF: +8 (strong green bars)
Mid TF: +6 (strong green bars)
Lower TF: +4 (moderate green bars)
Action: Look for long entries on lower timeframe pullbacks
Background is tinted green, upward arrow appears
Example 2 - Ranging Market (Avoid):
Higher TF: +3 (weak green)
Mid TF: -1 (weak red)
Lower TF: +2 (neutral yellow)
Action: Stay out, wait for alignment
Example 3 - Trend Reversal Warning:
Higher TF: +7 (still green)
Mid TF: -3 (turned red)
Lower TF: -5 (strong red)
Action: Consider exiting longs, prepare for potential higher TF reversal
Customization Options:
Timeframes: Adjust all three to match your trading horizon
Indicator Toggles: Disable indicators that don't suit your instrument:
Disable RSI for highly volatile crypto markets
Disable SMA crossover for range-bound instruments
Keep ADX and Supertrend enabled for trending markets
Visual Preferences:
Arrow size: 5 options from Tiny to Huge
Gauge size: Small/Medium/Large for different screen sizes
Toggle arrows on/off if you only want the gauge
Alert Setup:
Right-click chart, "Add Alert"
Condition: MTC v6 - UPTREND or DOWNTREND
Get notified when multi-timeframe confirmation occurs
Best Practices:
Use with Price Action: The indicator works best when combined with support/resistance levels, chart patterns, and volume analysis
Risk Management: Even with multi-timeframe confirmation, always use stop losses
Market Context: Works best in trending markets; less reliable in strong consolidation
Backtesting: Test the default settings on your specific instrument and timeframe before live trading
Patience: Wait for full multi-timeframe alignment rather than taking premature signals
Technical Notes:
All calculations use Pine Script's security function to fetch data from multiple timeframes
Prevents repainting by using confirmed bar data
Gauge updates in real-time on the last bar
Daily labels mark at the open of each new daily candle
Works on all instruments and timeframes
This indicator is ideal for traders who want objective, systematic trend identification without the complexity of analyzing multiple indicators manually across different timeframes.
-NATANTIA
Trend
Unentangle – Probability‑Based Trend Indicator using Chan TheoryUnentangle – Probability‑Based Trend Indicator using Chan Theory
**Overview:**
Unentangle is a custom TradingView indicator inspired by Chan Theory (Chanlun).
It automatically detects and visualizes market structures such as Bi (Trend Stroke), Xian (Line Segment), and Pivot.
By combining structural recognition with statistical analysis of historical patterns, the script provides traders with probability-based buy/sell signals.
This helps traders make more confident, data-driven decisions rather than relying solely on alerts.
Why "Unentangle"?
Market data often looks tangled and chaotic, making it hard to see clear structures and its trend.
This indicator is designed to "un-entangle" the data, revealing Chan Theory patterns and its trend probability so traders can view the market more clearly and make confident decisions.
**Key Features:**
- Automatic recognition of Chanlun structures Bi(Trend Stroke), Xian(Line Segment), Pivot
- Visual drawing of Chanlun elements directly on the chart
- Probability calculations for up and down trends based on historical Chanlun top and bottom patterns
**How It Works:**
The script analyzes price movements to identify Chanlun structures.
It then visually draws Chanlun elements, making it easier to follow Chan Theory without manual plotting.
Once structures are detected, it calculates the statistical probability of signals based on similar historical Chanlun top and bottom setups.
This allows traders to evaluate the confidence level of trades based on current price action.
**Usage:**
Apply the indicator to a clean chart.
The script will automatically display Chanlun structures and probability-based signals.
Traders can use these signals as part of their decision-making process, combining them with their own strategies and risk management rules.
On the chart, a green box indicates an uptrend and a red box indicates a downtrend.
The percentage inside the box shows how much of the current trend has progressed.
For example, “83%” in a green box means the uptrend has already advanced 83%, with only 17% potential space remaining for up trend.
**Notes:**
- This script is closed-source, but its logic is based on Chan Theory principles and statistical analysis of historical Chanlun top/bottom price patterns.
- It is intended for educational and analytical purposes, not as financial advice.
Unentangle – 基于缠论结构的趋势概率指标
**概述：**
Unentangle 是一个基于缠论的 TradingView 自定义指标。
它能够自动识别并可视化市场结构，包括笔、线段和中枢。
通过结合结构识别与历史数据的统计分析，该脚本可以生成基于概率的买卖信号，
帮助交易者在决策时更有依据，而不仅仅依赖提示。
为什么叫 “Unentangle”？
市场数据常常像一团乱麻，难以看清结构。
这个指标的目的就是“解缠”，让缠论的结构及其概率清晰呈现，
帮助交易者更直观地理解市场并做出更有依据的决策。
**功能亮点：**
- 自动识别缠论结构（笔、线段、中枢）
- 在图表上直观绘制缠论元素
- 基于历史顶底数据的趋势概率计算
- 提供信号可信度评估，辅助交易决策
**工作原理：**
脚本会分析价格走势以识别缠论结构。
识别完成后，它会自动绘制缠论元素，使得学习和应用缠论更加直观，无需手动绘制。
同时，脚本会基于历史顶底形态计算趋势的统计概率，
帮助交易者评估当前价格下的交易可信度。
**使用方法：**
将指标应用到干净的图表上。
脚本会自动显示缠论结构和基于概率的信号。
交易者可以将这些信号作为决策参考，并结合自己的策略与风险管理规则。
在图表中，绿色方框表示当前处于上升趋势，红色方框表示下降趋势。
方框中的百分比表示当前趋势的进展程度。
例如，绿色方框显示“83%”意味着当前上升趋势已经完成了 83%，仅剩 17% 的上涨空间。
**注意事项：**
- 本脚本为闭源，但逻辑基于缠论原理与历史数据的统计分析。
- 本脚本仅用于教育与分析目的，不构成任何投资建议。
Titan EMA Liquidity [Stansbooth]
🔥 Precision EMA + FVG Liquidity Sweep System
Advanced Buy/Sell Signal Engine for High-Probability Trade Entries
Unlock a new level of precision with this all-in-one market structure indicator built for traders who demand accuracy, clarity, and confidence.
This tool combines EMA trend filtration , Fair Value Gap (FVG) detection , and liquidity sweep analysis to deliver powerful buy and sell signals that align with institutional price behavior.
✅ Key Features
Dynamic EMA Trend Filter:
Identifies true trend direction and filters out low-quality trades. Signals only trigger when momentum aligns with higher-timeframe directional bias.
Smart FVG Detection:
Automatically highlights bullish and bearish Fair Value Gaps, helping you spot premium/discount zones where institutional traders seek entries.
Liquidity Sweep Identification:
Detects equal highs/lows, stop hunts, and engineered liquidity grabs—then confirms reversals when price sweeps liquidity and returns inside structure.
High-Accuracy Signal Engine:
Buy/Sell alerts trigger only when three layers agree:
1. EMA trend alignment
2. FVG confirmation
3. Liquidity sweep completion
This results in cleaner signals , fewer false entries, and strong trend continuation setups.
Optimized for All Market Conditions:
Works for scalping, day trading, and swing trading across Forex, Crypto, Indices, and Stocks.
What This Indicator Helps You Achieve
Capture smart-money style entries with reduced drawdown
Enter after liquidity grabs instead of before them
Avoid chop with EMA-filtered market direction
Spot precision premium/discount zones using automatic FVG mapping
Obtain high-confidence Buy/Sell signals based on institutional concept
Why Traders Love It
This system isn’t just another signal generator—it’s a market-structure aware model that reads the chart the same way professional traders do.
Every signal is based on probability stacking , giving you the clarity and confidence to take the best setups while ignoring noise.
DeepClean Linear indicator 1. Indicator Name
DeepClean Linear indicator
2. One-Line Introduction
A trend-recognition indicator that overlays a “transparent wave” on price, removing noise and revealing directional bias and trend intensity in a highly intuitive visual form.
3. Overall Summary
The DeepClean Linear indicator calculates trend direction using changes in linear regression slope and determines trend strength by comparing how consistently the regression line moves over a defined lookback window.
Rather than merely identifying trend direction, the indicator applies a triple-layer noise-filtering process (EMA → SMA → RMA) to produce a clean, wave-shaped data line that filters out unnecessary market noise.
This transparent wave sits directly on top of price, allowing traders to visually compare price movement and trend strength at the same time.
A stronger trend results in a taller, thicker wave, while weakening momentum causes the wave to thin, making it easier to spot trend continuation, exhaustion, or upcoming reversal.
Color automatically shifts based on trend:
Bright cyan/teal during bullish conditions
Reddish tones during bearish conditions
Transparency dynamically adjusts depending on strength
The indicator excels at identifying the true underlying trend by ignoring minor fluctuations and is well suited for scalping, swing trading, and position trading.
It also significantly reduces false signals in ranging markets, making it ideal for trend-following strategies.
4. Advantages
① Ultra-Clean Noise-Reduced Wave
Utilizes a 3-stage smoothing filter (EMA → SMA → RMA) to produce a much cleaner wave than standard moving averages, highlighting only core trend movement.
② Trend Direction & Strength at a Glance
Based on comparative linear regression behavior, the indicator quantifies both direction and strength, making convergence/divergence highly visible.
③ Intuitive Price Overlay Visualization
The semi-transparent wave sits directly on price action, allowing traders to instantly see divergence from price, trend weakening, or early turning points.
④ Dynamic Transparency Coloring
Strong trends appear bold and intense, while weaker trends fade visually—making signal interpretation effortless.
⑤ Excellent Range Filtering
During low-direction phases (state = 0), the wave turns neutral, preventing forced or premature entries.
⑥ Multi-Timeframe Compatibility
The wave remains stable from 1-minute to weekly charts, making it suitable for trend analysis, execution, and risk control across all timeframes.
📌 Core Concept Overview
The indicator evaluates the relative comparison of linear regression values over the last n periods.
A positive trend value indicates bullish bias
A negative trend value indicates bearish bias
Intensity represents strength and controls wave height
waveTop / waveBot define the visual wave area relative to price
State Values
1 = Bullish Trend
-1 = Bearish Trend
0 = Neutral / Weak Direction
⚙️ Settings Overview
Option Description
Trend Lookback (n) Comparison window for regression slope. Higher = bigger trend focus.
Range Tolerance (%) Strength threshold to classify bullish/bearish movement. Higher = more conservative.
Source Price source for regression calculations.
Linear Reg Length Length of the linear regression.
Noise Filter Strength (smoothK) Controls the smoothing intensity. Higher = smoother wave.
Wave Amplitude (amp) Adjusts the height/thickness of the wave.
Bull/Bear Color Colors for bullish/bearish waves.
Base Transparency Base opacity level; modified dynamically by trend strength.
📈 Bullish Timing Recognition Examples
Wave begins turning brighter teal and more opaque, indicating strengthening upward pressure.
waveTop expands above price, signaling early trend expansion.
State flips to 1, often marking a trend restart or early reversal phase.
A steadily rising wave height suggests sustained bullish momentum.
📉 Bearish Timing Recognition Examples
Wave shifts into red tones, showing bearish dominance.
waveBot expands below price, indicating rising downside volatility.
State stays at -1 while intensity increases, signaling entry into strong downtrend conditions.
A shift from weak → strong bearish intensity can provide short-entry timing cues.
🧪 Recommended Usage
Use as a core component in trend-following systems
Adjust position size based on wave thickness (trend strength)
Combine with RSI/MACD to reduce false signals during overbought/oversold zones
Sudden wave expansion during volatility increases helps detect trend acceleration
In sideways markets, frequent state = 0 readings help avoid low-probability trades
🔒 Important Notes
As a trend-based indicator, it may misread choppy/ranging markets
Because of smoothing, signals may appear slightly delayed
Extreme news volatility can temporarily distort trend clarity
GardFx - Fusion - ORBFusion ORB & Bias Monitor
This indicator is a comprehensive toolkit designed for session-based traders. It combines an Opening Range Breakout (ORB) visualizer with a Multi-Timeframe (MTF) trend bias dashboard. It is designed to help traders identify key session levels while keeping track of the broader market trend.
How it Works
1. Opening Range Breakout (ORB) Lines The script identifies the High and Low prices established during the first 15 minutes of a specific session or a manually defined start time.
Calculation: The script tracks the high and low values of candles occurring within the 15-minute window defined by the user settings. It then projects these levels forward using line.new.
Reset Logic: The lines automatically reset at the start of a new session (London or New York) or at specific reset times to ensure the chart remains clean for the next trading opportunity.
2. Multi-Timeframe Bias Dashboard The dashboard provides a quick "Bullish" or "Bearish" sentiment check across four timeframes: Daily, 4-Hour, 1-Hour, and 15-Minute.
Methodology: The script uses request.security to fetch the closing price and a 50-period Exponential Moving Average (EMA) for each timeframe.
Signal:
Bullish: Current Close > 50 EMA
Bearish: Current Close < 50 EMA
3. Exchange Clock & Session Tracker A built-in clock displays the current Exchange Time and identifies the active trading session (Asia, London, or New York). This uses timenow and timezone-specific checks to account for Daylight Savings Time shifts between London and New York.
Settings
Automate Session Times: Toggles between automatic detection of London (08:00) and NY (09:30) opens, or a manual user-defined start time.
Manual Start Hour/Minute: Defines the start of the ORB calculation if automation is disabled.
Bias EMA Length: Adjustable length for the trend detection EMA (Default: 50).
Visuals: Users can customize line colors, width, and toggle the mid-line display.
Usage This tool is best used on lower timeframes (e.g., 1-minute or 5-minute) to visualize the 15-minute opening range boundaries. Traders often observe price action around these high/low lines to determine potential breakouts or reversals, using the MTF Dashboard to align trades with the higher timeframe momentum.
New York Session Volume Momentum SystemNew York Session Volume Momentum System
This indicator is specifically designed for stock trading during New York market hours on the 1-hour timeframe. It combines volume spike detection with adaptive volatility bands and directional momentum filtering to identify high-probability entry points during the most liquid trading sessions.
Optimal Usage:
Timeframe: 1-Hour chart (critical for proper signal generation)
Market: U.S. stocks during New York open (9:30 AM - 4:00 PM EST)
Asset Class: Equities with sufficient volume characteristics
Technical Methodology:
Volume Spike Detection:
Continuously monitors volume relative to a 14-period moving average
Identifies abnormal volume events (threshold: 1.0x average) which typically occur at market open and during significant price moves
Volume confirmation reduces false signals during low-liquidity periods
Adaptive Volatility Bands:
Uses an 8-period volatility measurement (Average True Range) to create dynamic upper and lower bands
Bands automatically tighten during volume spikes (0.8x multiplier) to capture early momentum shifts
Trailing mechanism adjusts based on price action to lock in directional bias
Directional Momentum Filter:
Employs dual exponential moving averages (8-period fast, 21-period slow) to determine market bias
When fast MA > slow MA: System only generates buy signals (bullish environment)
When fast MA < slow MA: System only generates sell signals (bearish environment)
Filter can be toggled off for range-bound markets
Signal Generation Logic:
VOL BUY/SELL: High-confidence signals requiring both momentum shift AND volume confirmation
TREND FLIP: All momentum reversals (green to red or red to green) regardless of volume
Signals only trigger on candle close to eliminate intra-bar repainting
Visual labels placed dynamically using volatility-based spacing for clarity
Risk Management Framework:
This system is designed around a fixed risk-reward ratio methodology:
Required Target: 2R (2x your initial risk)
Stop Loss Placement: Place stops beyond the green/red momentum line (not the candle wick). This line represents the validated support/resistance level based on volatility and volume dynamics.
Position Sizing: Calculate risk per trade based on distance from entry to stop loss
Example: If your stop loss is $1 away from entry, your profit target should be $2 away
The 2R target aligns with the statistical distribution of price moves following volume-confirmed momentum shifts on the 1-hour timeframe. Historical testing shows this ratio provides optimal balance between achievable targets and favorable win rates.
Critical Entry Rules:
AVOID EARNINGS REPORTS:
Never trade signals on stocks during their earnings announcement days or the immediate session following earnings releases. Earnings volatility creates unpredictable price action that invalidates the volume/momentum relationship this system relies upon. Always check the earnings calendar before taking positions.
Large Opening Candle Strategy:
If the first 1-hour candle after New York open (9:30-10:30 AM EST) shows an unusually large range:
DO NOT enter immediately on the signal
WAIT for the second candle to form a pullback toward the momentum line
Enter on the pullback candle when price approaches the green (for buys) or red (for sells) momentum line
Benefit: This gives you a much tighter stop loss placement directly below/above the colored line, improving your risk-reward ratio significantly
Why it works: Large opening candles often retrace before continuing, allowing better entry positioning without changing your 2R target
Why 1-Hour and New York Open?
The 1-hour timeframe captures institutional order flow without the noise of lower timeframes while remaining responsive enough for intraday position management. New York market hours provide the highest volume and liquidity for U.S. equities, making volume spike signals more statistically significant and reliable.
Settings Overview:
Volatility Period: 8 (optimized for 1H)
Volatility Multiplier: 3.0
Volume MA Period: 14
Volume Spike Threshold: 1.0
Fast/Slow MA: 8/21 (responsive for hourly trading)
Trend Filter: Enabled by default
Alert options for both VOL signals and all trend flips
Important Disclaimers:
This indicator does not predict future price movements. It identifies historical patterns and volume anomalies based on mathematical calculations. The 2R target is a risk management guideline, not a performance guarantee. Market conditions vary, and not all setups will reach their targets.
Proper position sizing, stop loss discipline, and understanding of market context are essential. This tool is most effective when combined with broader market analysis, sector rotation awareness, and sound trading psychology.
Past signal accuracy does not guarantee future results. All trading involves risk of loss. Users should paper trade and backtest on their specific instruments before risking capital.
SPY/QQQ Customizable Price ConverterThis is a minimalist utility tool designed for Index traders (SPX, NDX, RUT). It allows you to monitor the price of a reference asset (like SPY, QQQ) directly on your main chart without cluttering your screen.
Key Features:
1.🖱️ Crosshair Sync for Historical Data (Highlight): Unlike simple info tables that only show the latest price, this script allows for historical inspection.
· How it works: Simply move your mouse crosshair over ANY historical candle on your chart.
· The script will instantly display the closing price of the reference asset (e.g., SPY) for that specific time in the Status Line (top-left) or the Data Window. Perfect for backtesting and reviewing price action.
2.🔄 Fully Customizable Ticker: Default is set to SPY, but you can change it to anything in the settings.
e.g.
· Trading NDX Change it to QQQ.
· Trading RUT Change it to IWM.
3.📊 Clean Real-Time Dashboard:
· A floating table displays the current real-time price of your reference asset.
· Color-coded text (Green/Red) indicates price movement.
· Fully customizable size, position, and colors to fit your layout.
DEMA ATR Strategy [PrimeAutomation]⯁ OVERVIEW
The DEMA ATR Strategy combines trend-following logic with adaptive volatility filters to identify strong momentum phases and manage trades dynamically.
It uses a Double Exponential Moving Average (DEMA) anchored to ATR volatility bands, creating a self-adjusting trend baseline.
When the adjusted DEMA shifts direction, the strategy enters positions and scales out profit in phases based on ATR-driven targets.
This system adapts to volatility, filters noise, and seeks sustained directional moves.
⯁ KEY FEATURES
DEMA-Volatility Hybrid Filter
Uses Double EMA with ATR expansion/compression logic to form a dynamic trend baseline.
Directional Shift Entries
Entries occur when the adjusted DEMA flips trend (bullish crossover or bearish crossunder vs its past value).
Noise Reduction Mechanism
ATR range caps extreme moves and prevents false flips during choppy volatility spikes.
Multi-Level Take Profits
Targets scale out positions at 1×, 2×, and 3× ATR multiples in the trade direction.
Volatility-Adaptive Targets
ATR multiplier ensures profit targets expand/contract based on market conditions.
Single-Direction Exposure
No pyramiding; the strategy flips position only when trend shifts.
Automated Trade Finalization
When all profit targets trigger, the position is fully closed.
⯁ STRATEGY LOGIC
Trend Direction:
DEMA baseline is modified using ATR upper/lower envelopes.
• If the adjusted DEMA rises above previous value → Bullish
• If it falls below previous value → Bearish
Entry Rules:
• Enter Long when bullish shift occurs and no long position exists
• Enter Short when bearish shift occurs and no short position exists
Take Profit Logic:
3 partial exits for each trade based on ATR:
• TP1 = ±1× ATR
• TP2 = ±2× ATR
• TP3 = ±3× ATR
Profit distribution: 30% / 30% / 40%
Exit Conditions:
• Exit when all TPs hit (full scale-out if sum of all TPs 100%)
• Opposite trend signal closes current trade and opens new one
⯁ WHEN TO USE
Trending environments
Medium–high volatility phases
Swing trading and intraday trend plays
Markets that respect momentum continuation (crypto, indices, FX majors)
⯁ CONCLUSION
This strategy blends DEMA trend recognition with ATR-based volatility adaptation to generate cleaner directional entries and structured take-profit exits. It is designed to capture momentum phases while avoiding noise-driven false signals, delivering a disciplined and scalable trend-following approach.
Trend TraderMost trend indicators don’t offer continuation signals or accurate bounce points, so I created this indicator that uses one of the most common trading levels (EMAs). This indicator uses the 50, 100, and 200 EMAs along with WaveTrend signals to trade trends. Buy Signals are filtered so that they only show up when the 100 EMA is above the 200. And Inverse for Sell Signals.
This indicator works well with both Stocks and Crypto. Default settings work best on 15 min, 1H, 2H, and 4H.
(Chart examples are using Heikin Ashi Candles, on Log Scale.)
*Buy and Sell Signals do not repaint.
Settings:
- Ability to show all buy and sell signals regardless of trend.
- To change the sensitivity of the buy and sell signals, change the “Average Length”
- (The lower the number the more sensitive, the higher the number the less they pop up)
- Ability to change EMA Lengths
imgur.com
Simple Line📌 Understanding the Basic Concept
The trend reverses only when the price moves up or down by a fixed filter size.
It ignores normal volatility and noise, recognizing a trend change only when price moves beyond a specified threshold.
Trend direction is visually intuitive through line colors (green: uptrend, red: downtrend).
⚙️ Explanation of Settings
Auto Brick Size: Automatically determines the brick/filter size.
Fixed Brick Size: Manually set the size (e.g., 15, 30, 50, 100, etc.).
Volatility Length: The lookback period used for calculations (default: 14).
📈 Example of Identifying Buy Timing
When the line changes from gray or red to green, it signals the start of an uptrend.
This indicates that the price has moved upward by more than the required threshold.
📉 Example of Identifying Sell Timing
When the line changes from green to red, it suggests a possible downtrend reversal.
At this point, consider closing long positions or evaluating short entries.
🧪 Recommended Use Cases
Use as a trend filter to enhance the accuracy of existing strategies.
Can be used alone as a clean directional indicator without complex oscillators.
Works synergistically with trend-following strategies, breakout strategies, and more.
🔒 Notes & Cautions
More suitable for medium- to long-term trend trading than for fast scalping.
If the brick size is too small, the indicator may react to noise.
Sensitivity varies greatly depending on the selected brick size, so backtesting is essential to determine optimal values.
❗ The Trend Simple Line focuses solely on direction—remove the noise and focus purely on the trend.
초대 전용 스크립트
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Anchor SafeSwing Gold StrategyOverview:
The Anchor SafeSwing Gold Strategy is designed for users who prefer structured, rule-based swing trading on XAUUSD. It focuses on identifying high-quality trade setups rather than frequent entries.
This strategy analyzes the market using multiple technical indicators and methods—including trend analysis, multi-chart confirmation, and support/resistance evaluation—to identify potential swing points. It also incorporates a dynamic approach to risk management through adaptive stop-loss and take-profit logic.
How the Strategy Works
1. Multi-Chart & Trend Analysis:
The strategy evaluates trend direction using several indicators and multiple charts. This helps determine whether the trend favors long or short setups.
2. Buy/Sell Conditions:
a. Buy Conditions: When the broader trend is identified as bullish, the strategy waits for the formation of a strong support zone before considering a long position.
b. Sell Conditions: When the trend is bearish, it waits for a confirmed resistance zone before initiating short positions.
3. Dynamic Take-Profit Logic
The strategy uses adaptive take-profit behavior based on evolving market conditions. It monitors new support/resistance structures and various overbought/oversold signals to dynamically exit trades.
4. Dynamic and Configurable Stop-Loss:
A flexible stop-loss system adjusts according to volatility and market structure.
Users can modify the stop-loss threshold in the settings based on their own risk tolerance and account size.
Trading Frequency :
This strategy focuses on select, high-quality setups. As a result, trade frequency is relatively low and may vary depending on market conditions. Backtesting may show roughly several trades per month, but actual live performance can differ.
Important Notes
All trading involves risk, and users should evaluate the strategy and adjust settings according to their own risk management preferences.
Filter Ribbon1. Indicator Name
Filter Ribbon
2. One-line Introduction
A trend visualization ribbon that uses linear regression and directional scoring to highlight bullish and bearish strength with intuitive color gradients.
3. General Overview
Filter Ribbon is a minimalistic yet powerful trend visualization tool that leverages linear regression slope ordering to determine directional momentum. It analyzes the ordering of regression values over a defined lookback period and quantifies how consistently the price has been trending upward or downward.
Using a pairwise comparison system, it calculates a trend "score" and compares this to a configurable threshold to determine if a bullish, bearish, or neutral condition exists.
The result is a color-coded ribbon that sits over the chart, changing hue and opacity based on both the direction and strength of the trend. The stronger the directional alignment, the more opaque the ribbon becomes, offering traders a fast, intuitive way to assess market sentiment at a glance.
It also includes an optional linear regression line to further help visualize the central trend.
This indicator is best used in trend-following systems or as a dynamic background layer when combined with signal-based strategies.
Thanks to its efficient design and protected logic, Filter Ribbon offers high-performance visualization without compromising strategy integrity.
4. Key Advantages
🌈 Visual Trend Heatmap
Dynamic color ribbon gives real-time visual feedback on both trend direction and strength.
🔢 Quantified Trend Scoring
Calculates a mathematically sound trend score using pairwise linear regression comparisons.
⚖️ Adjustable Sensitivity
Users can tune lookback and threshold parameters to fit different asset classes and timeframes.
📉 Smooth Ribbon Effect
Plots upper/lower bands around regression line with smooth filling for a professional chart look.
🎯 Precise Trend Confirmation
Acts as a confidence layer for other entry/exit signals by confirming broader trend bias.
🔒 Secure and Minimal Codebase
Core logic is embedded securely with minimal exposure, reducing risk of replication or misuse.
📘 Indicator User Guide
📌 Basic Concept
Filter Ribbon determines trend direction and intensity by comparing the order of linear regression values over time.
It forms a ribbon on the chart that changes color based on trend direction and opacity based on trend strength.
This makes it ideal for identifying clear trending periods vs. uncertain consolidations.
⚙️ Settings Explained
Lookback Period: Number of bars for scoring the trend direction (higher = smoother trend)
Range Tolerance (%): Determines how aggressive the trend classification is (lower = stricter)
Regression Length: Period for calculating the base linear regression line
Ribbon Colors: Customize colors for bullish and bearish conditions
📈 Bullish Timing Example
Ribbon color is green and becomes increasingly opaque
Regression line slopes upward and price remains above it
Can be used as trend confirmation for long trades
📉 Bearish Timing Example
Ribbon color is red with higher opacity
Price consistently below the regression line
Useful for confirming short trade setups or avoiding long entries
🧪 Recommended Use Cases
Combine with breakout indicators to validate if the breakout aligns with broader trend
Use in swing or trend-following strategies as a background filter
Helps filter out trades during unclear, sideways market conditions
🔒 Precautions
Not a signal generator on its own — meant for trend context only
Ribbon may lag slightly during sudden trend reversals; best used with reactive entry tools
Always test ribbon parameters on your specific market/timeframe before applying live
Avoid using solely in low-volatility or flat markets — sensitivity may require tuning
+++
Volume Pulse [ziksfx]Volume Pulse is a clean volume indicator designed to make it easier to read meaningful changes in activity without cluttering your chart. It enhances the standard volume view by supporting both classic volume and dollar volume , highlighting spikes and extreme bars and adding a compact label on the latest bar so you always see the current volume value at a glance. The script is intended to be used in a separate volume pane.
How it works
– Supports two modes: standard volume or dollar volume (close × volume).
– Colors volume bars by candle direction (up/down). Optionally, it can:
• highlight volume spikes above a moving average;
• mark the highest-volume bar over a user-defined lookback period.
– Plots a simple moving average of volume so you can quickly see when activity is above or below typical levels.
– On the latest bar, shows a small label with the current volume value, automatically abbreviated (K / M / B) and optionally prefixed with “$” in dollar-volume mode.
Inputs & customization
– Volume type: choose between standard volume and dollar volume.
– Volume MA length: controls how sensitive the moving average is to recent changes in activity.
– Spike highlighting: optional, turns on/off coloring for bars where volume exceeds the moving average.
– Highest-volume bar lookback: sets the period for detecting the highest-volume bar.
– Label position: choose whether the last-bar label appears on the left or right side of the bar, and optionally shift it slightly above the bar for better readability.
Use cases
Use Volume Pulse to:
– Spot sudden spikes in volume and compare them to the recent average.
– Identify sessions or candles with unusually high activity relative to a chosen TF.
– Visually study how volume behaves around price moves, breakouts or potential fakeouts to better understand their strength or weakness.
– Keep track of the latest bar’s volume instantly, without having to read the raw scale values.
This indicator works on any symbol that has volume data (stocks, futures, crypto and more), but volume quality may vary between markets and instruments. It is intended as an analytical and educational tool only: it does not constitute financial advice and does not provide or guarantee any trading results. Always combine volume context with your own analysis and risk management.
Safe Supertrend Strategy (No Repaint)Overview
The Safe Supertrend is a repaint-free version of the popular Supertrend trend-following indicator.
Most Supertrend indicators appear perfect on historical charts because they flip intrabar and then repaint after the candle closes.
This version fixes that by using close-of-bar confirmation only, making every trend flip 100% stable, safe, and non-repainting.
Why This Supertrend Doesn’t Repaint
Most Supertrend indicators calculate their trend direction using the current bar’s data.
But during a live candle:
ATR expands and contracts
The upper/lower bands move
Price moves above/below the band temporarily
A false flip appears → then disappears when the candle closes
That is classic repainting.
This indicator avoids all of that by using:
close > upper
close < lower
This means:
Trend direction flips only based on the previous candle,
No intrabar calculations,
No flickering signals,
No “perfect but fake” historical performance.
Every signal you see on the chart is exactly what was available in real-time.
How It Works
Calculates ATR (Average True Range) and SMA centerline
Builds upper and lower volatility bands
Confirms trend flips only after the previous bar closes
Plots clear bull and bear reversal signals
Works on all markets (crypto, stocks, forex, indices)
No repainting, no recalc, no misleading flips.
Bullish Signal (Trend Up)
A bullish trend begins only when:
The previous candle closes above the upper ATR band,
And this flip is fully confirmed.
A green triangle marks the start of a new uptrend.
Bearish Signal (Trend Down)
A bearish trend begins only when:
The previous candle closes below the lower ATR band,
And the downtrend is confirmed.
A red triangle signals the start of a new downtrend.
Inputs
ATR Length - default 10
ATR Multiplier - default 3.0
Works on all timeframes and market
Simple, but powerful.
Why Use This Version Instead of a Regular Supertrend?
Most Supertrends:
Look great historically
But repaint continuously on live charts
Give false trend flips intrabar
Cannot be reliably used in strategies
This version:
Uses strict previous-bar logic
Never repaints trend direction
Works perfectly in live trading
Backtests accurately
Is ideal for algorithmic strategies
Ideal For:
Trend-following strategies
Breakout trading
Algo trading systems
Reversal detection
Filtering market noise
Swing trading & scalping
Final Note
This is a safer, more reliable Supertrend designed for real-world use — not perfect-looking repaint illusions.
If you use Supertrend in your trading system, this no-repaint version ensures your signals are trustworthy and consistent.
Safe Supertrend Strategy (No Repaint)Overview
The Safe Supertrend is a repaint-free version of the popular Supertrend trend-following indicator.
Most Supertrend indicators appear perfect on historical charts because they flip intrabar and then repaint after the candle closes.
This version fixes that by using close-of-bar confirmation only, making every trend flip 100% stable, safe, and non-repainting.
Why This Supertrend Doesn’t Repaint
Most Supertrend indicators calculate their trend direction using the current bar’s data.
But during a live candle:
ATR expands and contracts
The upper/lower bands move
Price moves above/below the band temporarily
A false flip appears → then disappears when the candle closes
That is classic repainting.
This indicator avoids all of that by using:
close > upper
close < lower
This means:
Trend direction flips only based on the previous candle,
No intrabar calculations,
No flickering signals,
No “perfect but fake” historical performance.
Every signal you see on the chart is exactly what was available in real-time.
How It Works
Calculates ATR (Average True Range) and SMA centerline
Builds upper and lower volatility bands
Confirms trend flips only after the previous bar closes
Plots clear bull and bear reversal signals
Works on all markets (crypto, stocks, forex, indices)
No repainting, no recalc, no misleading flips.
Bullish Signal (Trend Up)
A bullish trend begins only when:
The previous candle closes above the upper ATR band,
And this flip is fully confirmed.
A green triangle marks the start of a new uptrend.
Bearish Signal (Trend Down)
A bearish trend begins only when:
The previous candle closes below the lower ATR band,
And the downtrend is confirmed.
A red triangle signals the start of a new downtrend.
Inputs
ATR Length - default 10
ATR Multiplier - default 3.0
Works on all timeframes and market
Simple, but powerful.
Why Use This Version Instead of a Regular Supertrend?
Most Supertrends:
Look great historically
But repaint continuously on live charts
Give false trend flips intrabar
Cannot be reliably used in strategies
This version:
Uses strict previous-bar logic
Never repaints trend direction
Works perfectly in live trading
Backtests accurately
Is ideal for algorithmic strategies
Ideal For:
Trend-following strategies
Breakout trading
Algo trading systems
Reversal detection
Filtering market noise
Swing trading & scalping
Final Note
This is a safer, more reliable Supertrend designed for real-world use — not perfect-looking repaint illusions.
If you use Supertrend in your trading system, this no-repaint version ensures your signals are trustworthy and consistent.
Scaling_mastery:Free TrendlinesScaling_mastery Trendlines is a clean, trading-ready smart trendline tool built for the Scaling_mastery community.
It automatically finds swing highs/lows and draws dynamic trendlines or channels that stay locked to price, on any symbol and any timeframe.
🔧 Modes
Trendline type
Wicks – classic trendlines anchored on candle wicks (high/low).
Bodies – trendlines anchored on candle bodies (open/close), great for closing structure.
Channel – 3-line channel:
outer lines form a band around price
middle line runs through the centre of the channel
thickness is adjustable (Small / Medium / Large).
Trend strength
Controls how strong the pivots must be to form a line.
Weak → more lines, reacts faster.
Medium → balanced, good for most pairs.
Strong → only the cleanest swings, higher-probability trendlines.
🎨 Visual controls
Max support / resistance lines – cap how many lines are kept on chart.
Show broken lines – hide broken trendlines or keep them for structure history.
Extend lines – None / Right / Both.
Support / Resistance colors – separate colors for active vs broken.
Channel thickness – Small / Medium / Large (0.5% / 1% / 2% of price).
Channel outer lines – color for channel edges.
Channel middle line – color + style (dotted / dashed / solid).
Broken lines are automatically faded + dotted, so you can instantly see what’s still respected and what’s already been taken out.
🧠 How to use
Add the indicator to any chart.
Start with:
Trendline type: Wicks
Trend strength: Strong
Max lines: 1–2 for both support & resistance
Once you like the behavior, experiment with:
Switching between Wicks / Bodies / Channel
Adjusting Channel thickness and Trend strength
Use the lines as a visual confluence tool with your own strategy:
HTF trend direction
LTF entries / retests
Liquidity grabs around broken lines
This script doesn’t generate entries or risk management – it’s designed to give you clean, reliable structure so you can execute your own edge.
⚠️ Disclaimer
This tool is for educational and visual purposes only and is not financial advice.
Always do your own research and manage risk.
Average Directional Index infoAverage Directional Index (ADX) is a technical indicator created by J. Welles Wilder that measures trend strength (not direction!). Values range from 0 to 100.
This indicator is a supplementary tool for assessing whether trend strategies are worthwhile, monitoring changes in trend strength and avoiding weak, choppy movements
Value Interpretation:
0-25: Weak trend or sideways market
25-50: Moderate to strong trend
50-75: Very strong trend
75-100: Extremely strong trend (rare)
Important: ADX does not indicate trend direction (up/down), only its strength!
This script indicator includes additional features:
1. ADX Plot (purple line)
Basic ADX value showing current trend strength.
2. ADX Trend Analysis (arrows)
The script compares current ADX with its 10-period moving average with ±5% tolerance:
↑ (green): ADX rising → trend strengthening
↓ (red): ADX falling → trend weakening
⮆ (gray): ADX stable → trend strength unchanged
3. Information Table
Displays current ADX value with trend arrow in the top-right corner.
Parameters to Configure
Smoothing (default: 14) - Indicator smoothing period
Lower values (e.g., 7): more sensitive, more signals
Higher values (e.g., 21): more stable, less noise
Indicator Length (default: 14) - Period for calculating directional movement (+DI/-DI)
Wilder's standard value is 14
Trend Length (default: 10) - Period for moving average to analyze ADX dynamics
Determines how quickly changes in trend strength are detected
Practical Application
✅ Strategy 1: Trend Strength Filter
1. ADX > 25 → look for positions aligned with the trend
2. ADX < 25 → avoid trend strategies, consider oscillators
✅ Strategy 2: Entries on Strengthening Trend
1. ADX crosses above 25 + arrow ↑ → trend gaining momentum
2. Combine with other indicators (e.g., EMA) for direction confirmation
✅ Strategy 3: Exhaustion Warning
1. ADX > 50 + arrow ↓ → strong trend may be exhausting
2. Consider profit protection or trailing stop
Average True Range % infoATR% is a modified version of the classic Average True Range indicator that displays price volatility as a percentage of the instrument's value, rather than in absolute values. This allows you to easily compare the volatility of different assets (e.g., Bitcoin vs Tesla stock) regardless of their price.
Main Features
1. ATR% Chart
The red line shows the average volatility from the last N candles (default 14), expressed as a percentage. For example:
ATR% = 2.5% means that the average daily move is approximately 2.5% of the asset's value
Higher values = greater volatility (higher profit potential, but also greater risk)
Lower values = lower volatility (calmer market)
2. Volatility Trend Analysis
The indicator automatically detects whether volatility is rising, falling, or stable:
Up arrow (↑) - volatility is rising (price becomes more "nervous")
Down arrow (↓) - volatility is falling (market is calming down)
Horizontal arrow (⮆) - volatility is stable (within ±3% of the moving average)
3. Information Table
In the upper right corner of the chart you will see Current ATR% value and Trend arrow with color coding:
- Green = rising volatility
- Red = falling volatility
- Gray = stable volatility
Parameters to Configure
Indicator Length (default: 14) - How many candles back to include in calculations:
Lower values (5-10): more sensitive to sudden changes, reacts faster
Higher values (20-30): more smoothed, shows long-term volatility picture
Trend Length (default: 10) - Period to analyze whether volatility is rising/falling:
Lower values: faster trend change signals
Higher values: more reliable, but slower signals
Sample Interpretations
ATR% Volatility Asset Type/Situation
< 1% Very low Stable blue-chip stocks, calm market
1-3% Low-medium Typical stocks, normal conditions
3-5% Medium-high Volatile stocks, cryptocurrencies at rest
5-10% High Cryptocurrencies, penny stocks
> 10% Extremely high Market panic, crash, pump & dump
PA Builder [PrimeAutomation]1. PA Builder – Overview
PA Builder is not a fixed strategy; it’s a framework for building strategies. Instead of giving traders one rigid system, it provides a toolbox where entries, exits, filters, risk parameters, and automation rules can all be defined and combined. The core philosophy is confluence: the idea that a trade should only be taken when multiple independent signals agree. The Builder is built around this principle. Every module; trend, reactors, bands, reversals, volume, structure, divergences, externals can be treated as one layer of confidence. The stronger the alignment across layers, the higher the quality of the setup in theory.
In practice, this means PA Builder encourages traders to think in terms of “confluence,” not single indicators. Trend and positioning define whether you should even be looking for longs or shorts. Timing tools such as bands, reversals and candlestick structures determine when inside that broader bias you want to engage. Confirmation tools like volume and flow tell you whether capital is actually supporting the move. Filter systems then ensure that even if everything looks good locally, you still respect higher-timeframe or opposing warnings. The Builder’s philosophy is simple: enter less often, but only when conditions are genuinely in your favour.
2. Core Entry Signal Components
The entry logic in PA Builder is built on a set of signal engines that can be combined in many ways. Trend Signals form a natural foundation. They use low-lag low-pass filters, borrowed from audio signal processing, to extract directional bias from price without the classic delay of classical moving averages. The sensitivity parameter controls how reactive this engine is: lower values favour cleaner trends and fewer whipsaws, while higher values are better suited to short-term intraday trading where speed matters more than smoothness. Many traders start by requiring that Trend Signals show “all bullish” or “all bearish” before allowing any entries in that direction.
Trend signals firing short positions
On top of this directional backbone, the Dynamic Reactor behaves as an adaptive baseline. It accelerates in volatile phases and slows down during consolidation, effectively acting as a moving reference point for both trend and price position. A typical use of this module is to insist that, for long trades, the price sits above a bullish reactor; for shorts, below a bearish one. At the higher-timeframe level, the Quantum Reactor provides a VWAP-style reference that can be anchored to larger candles than the chart you are trading. A common configuration is to trade on a 15-minute chart while requiring that price is above the 4-hour Quantum Reactor for longs or below it for shorts. The “fast” and “slow” options determine how quickly this reference adapts to new information.
Timing is then refined with tools like Quantum Bands, reversals and candle structure analysis. Quantum Bands identify extremes within the current environment. In an uptrend, a tag of the lower band can be treated as a pullback rather than a breakdown; in a downtrend, the upper band acts like a shorting zone. Many traders combine “trend up and above higher-timeframe reactor” with “price temporarily below lower band” to construct a mean-reversion entry inside a larger uptrend. Reversal detection modules examine recent bars to find turning points, with shorter lookbacks capturing fast flips and longer lookbacks tracking deeper structural changes. Candle structure logic goes beyond classical candlestick names and instead focuses on whether price action confirms follow-through or reversion behaviour, with options like “2X” modes that wait for two successive confirmations before acting.
Before and after filtering using reactor applied.
Additional confirmation layers come from Volume Matrix, Money Flow, OSC True7 and divergence detection. Volume and flow tools answer whether actual capital is participating in the move or whether price is drifting on thin activity. OSC True7 categorises the state of the trend into intuitive buckets, strong, healthy, neutral, or exhausted, making it easier to avoid chasing extremes. Divergences between price and momentum can be used either as entry triggers in contrarian systems or as hard filters that block trades when warning signs are present. Finally, two external indicator inputs make it possible to integrate RSI, MACD, custom indicators or even other strategies into the Builder, either as simple thresholds or as comparative logic between two external sources (for example, requiring a fast EMA to be above a slow EMA before allowing longs).
3. Exit System & Trade Management
The exit systems in PA Builder are designed to be as vital as the entry logic. It assumes exits are not an afterthought, but half of the edge. Instead of forcing a single take profit point, the system uses a three-tier structure where you can assign different portions of the position to different targets. A common pattern is to scale out a small portion early (for example at one ATR), another portion at an intermediate level, and keep the largest slice for a deeper move. This creates a natural balance: you book something early to reduce emotional stress, while leaving room to participate in the full potential of a trend.
Targets can be defined using ATR multiples or risk-to-reward ratios that are directly tied to the initial stop distance. Using ATR keeps exits proportional to current volatility. A two ATR target in a quiet environment is very different in absolute price distance from the same multiple in a high-volatility environment, yet conceptually it represents the same “size” move. Risk-to-reward exits build on this by ensuring that if you risk one unit (1R), the reward targets are set at predefined multiples of that risk. This enforces positive expectancy at the structural level: the strategy cannot generate entries with inherently negative payoffs.
Once price begins to move in your favour, trailing logic takes over if you choose to enable it. Trailing can begin immediately from entry or only after a target has been hit. Many users prefer to let TP1 and TP2 behave as fixed profit points and then apply a trailing stop or trailing take profit to the final remainder. That way, routine winners are banked mechanically, while occasional explosive moves can be ridden for as long as the market allows. The breakeven module supports this behaviour by automatically moving stops to entry (or slightly through entry into profit) after a specified condition such as TP1 being hit. This transforms the risk profile mid trade: once breakeven has been secured, remaining size can be managed with much less psychological pressure.
The system also recognises the cost of time. Kill Switch functionality exits trades that have been open too long under mediocre conditions, typically when they are in modest profit but not progressing. This protects you from capital being tied up while better opportunities appear elsewhere. Underlying all of this are several trailing stop mechanisms: percentage-based, tick-based for very short-term strategies, TP linked trailing that activates only once a certain profit threshold has been achieved, and ATR based trailing that automatically scales the trail distance with volatility. Each method serves a slightly different profile of strategy, but all share the same aim: preserve gains and limit downside in a structured way rather than rely on discretionary judgement after the fact.
4. Filters and Risk Management
The filter systems in PA Builder formalise the idea that good trading is often about knowing when not to act. “Do Not Trade” conditions can be configured so that even a perfectly aligned bullish entry stack is overridden if certain bearish evidence is present. These can include higher timeframe reversal structures, powerful opposing divergences, or conflicting signals in key modules. By assigning conditions specifically to “Do Not Long” and “Do Not Short” rather than only to entries, you create asymmetry: buying requires bullish evidence and an absence of strong bearish warnings; selling requires the mirror.
Volatility filters extend this logic to the regime level. Some strategies are inherently suited to low volatility, range bound environments where fading extremes is profitable; others require expansion and energy to function properly. By binding trading permission to volatility ranges, you ensure that a mean-reversion system does not blindly attempt to fade a breakout, and that a momentum system does not spin its wheels in a dead, sideways market. You can even reference volatility from a higher timeframe than the one you trade, so that a five-minute strategy is still aware of the broader one-hour volatility regime it sits inside.
Applied DO NOT TRADE - removes poor signal
Risk management and position sizing are configured so each trade is expressed in units of risk rather than arbitrary size. Leverage, in this framework, is simply a scaling factor for capital efficiency; the actual risk per trade is still controlled by the distance between entry and stop and the percentage of equity you choose to expose. Reinvestment options then decide what proportion of accumulated profit is fed back into position sizing. A more aggressive reinvestment setting accelerates compounding but increases the amplitude of drawdowns; a more conservative one smooths the equity curve at the cost of slower growth. The Base Trade Value parameter ties all of this together by deciding how much nominal capital or how many contracts are committed per trade in light of your maximum allowed simultaneous positions and your intended use of leverage.
External exit conditions provide further flexibility. For example, you might design a system whose entries rely purely on PA Builder’s internal modules, but whose exits use RSI readings, moving average crosses, or a proprietary external indicator. The separation of entry and exit logic allows you to bolt on different behaviours at the tail end of trades while keeping your core signal engine intact. In all cases, the objective is the same: express risk in a controlled, repeatable way that can survive long stretches of unfavourable market conditions.
5. PDT, Cooldowns and Visual Modes
For traders subject to Pattern Day Trading rules, PA Builder includes a day-trade tracking system that counts business days correctly and respects the three-trades-in-five-days limit. This goes beyond simple compliance; it forces discipline. When intraday trading is heavily constrained, you are naturally pushed toward swing-oriented strategies with fewer, more selective entries. The tool visually marks your PDT status so you never inadvertently cross the line and trigger a lockout.
Cooldown systems address another reality: psychological vulnerability after streaks. Following several consecutive wins, many traders unconsciously loosen their standards, take marginal signals, oversize positions, or overtrade. A win-streak cooldown deliberately pauses trading after a configured number of wins, giving you time to reset. The same applies to losing streaks. After a run of losses, the strongest temptation is often to “make it back now,” which is exactly when discipline is weakest. A loss-streak cooldown enforces a break in activity during this high-risk emotional state, helping to prevent cascading damage driven by revenge trading.
Visualisation comes in two main modes. Classic mode emphasises precision: it draws explicit entry lines, stop levels, target levels and fill zones, making it easy to audit risk/reward on each trade, verify that the exit logic behaves as intended, and review historical trades in detail. Modern mode emphasises market feel: instead of focusing on exact levels, it colours candles and backgrounds to reflect momentum, profit state and dynamics.
This helps you see at a glance whether a strategy is operating in a smooth trending environment or a choppy, fragmented one, and whether current trades are broadly working or struggling. Many users develop and debug in Classic mode and then monitor live performance in Modern mode, so both representations become part of the workflow.
6. Strategy Design Workflow, Examples and Cautions
Designing with PA Builder is inherently iterative. You begin with a simple theory and a minimal configuration, perhaps just a trend filter and a basic stop/target structure, and run a backtest. You then examine where the system fails. If you see many losses occurring in counter-trend conditions, you add an additional directional filter or restrict entries with a higher-timeframe reactor condition. If you observe many small whipsaw losses, you might require candle structure confirmation or volume confirmation before allowing an entry. Each change is made one at a time and evaluated. This process gradually builds a layered system where every component has a clear purpose: some reduce drawdown, some increase win rate, some cut out only the worst trades, and others help capture more of the best ones.
A conservative swing strategy might need an agreement between short-term trend signals, a higher-timeframe Quantum position, and a bullish Dynamic Reactor state, while checking that volume supports the move and that no significant bearish reversals or divergences are present on higher timeframes. It might accept relatively few trades, but each trade would be tightly controlled, scaled out over several ATR-based targets and protected with breakeven and trailing logic. On the opposite end, an aggressive scalping configuration would relax some filters, favour faster sensitivities, use short lookback reversals, and tighten stops and targets dramatically, relying on high frequency and careful volatility filtering to maintain edge.
Throughout all of this, overfitting remains the main danger. The more parameters you tune and the more coincidental rules you add to make the backtest equity curve smoother, the more likely it is that you are capturing noise rather than a real, repeatable edge. Signs of overfitting include heavily optimised numeric values with no intuitive justification, large differences between in-sample and out-of-sample results, or strategies that work spectacularly in very specific regimes and collapse elsewhere. To mitigate this, keep strategies as simple as possible, test across different market regimes (bull, bear, range), and accept that robust systems usually look less “perfect” on the historical chart.
Bridging the gap from backtest to live trading is another critical step. Before risking capital, it is wise to paper trade the configuration for a number of trades to confirm that signal frequency, behaviour and execution align with expectations. When going live, starting with minimal size and gradually scaling up based on real-world performance helps manage both financial and psychological risk. If live results diverge significantly from backtest expectations due to slippage, fees, or changing market conditions, you can adjust, reduce size, or temporarily pause rather than commit fully to a failing configuration.
Ultimately, PA Builder is designed to be a tool for building structured, rules-driven trading systems. It gives you the tools to express your ideas, test them, refine them, and run them under controlled risk. It does not remove uncertainty or guarantee results, but it does provide a clear, transparent way to translate trading concepts into executable, testable logic, and to evolve those systems as markets change and your understanding deepens.
ATH/ATL/DaysThis indicator displays the All-Time High (ATH) and All-Time Low (ATL) — or more precisely, the highest and lowest price within the last N days. It works on any timeframe and uses only local chart data (no security() calls), ensuring stable and accurate results.
It plots horizontal lines for both the ATH and ATL and includes a clean, compact table showing:
Date of the extreme
Days since it occurred
Price
% distance from current price
$ distance from current price
A reliable tool for identifying local extremes, spotting market structure shifts, and tracking short-term price ranges.
Plus Screener [ChartPrime]The Plus Screener is designed to provide a broad vision of market conditions across selected asset classes. These models include low-lag filtering, directional bias estimation, pressure gradient calculations, probabilistic states, reversal inflection modelling, candlestick structure classification, and volatility phase metrics.
By combining these metrics the aim is to provide the user with a blanket breakdown at a glance of all key market systems and states.
Underlying Components
This section defines the technical foundations of the screener’s calculations and each column.
Low-Lag Trend Engine
The trend signals / trend-detection module based on recursive low pass filtering and phase compensation techniques to minimize delay typically seen in classical trading signals.
It produces directional states by evaluating:
- filtered slope
- rate-of-change
- smoothing derivative
- trend persistence score
This engine forms the primary input for the Trend Signals column. By combining these evaluations the trend signals offer unique insights.
A plus next to the signal shows that the signal is stronger in nature and a more violent market reaction could be occurring. A tick next to the signal suggests a system take profit (derived from ATR) was reached. This could suggest taking this trade is less likely to be profitable as we already have overextended.
A vital feature of The Prime Screener is its adaptability and customizability.
Users can refine the tuning and responsiveness of signals through the settings and tuning input, offering a tailored experience to individual trading preferences.
For example; a trader that wants to scan for longer term swing moves might want to consider using a higher tuning input. A scalper however might want to use a lower value for higher frequency signals.
Dynamic Reactor Model
The Dynamic Reactor provides a simple band passing through the chart. This can provide assistance in support and resistance locations as well as identifying the trend direction expressed via green and red colors. Taking a moving average and applying unique low lag adaptivity calculations gives this plot a unique and fast behavior. This gives a unique edge to standard high length moving averages.
This model approximates buying/selling force without relying on volume data, instead inferring pressure from displacement behaviour.
Quantum Reactor System
The quantum reactor is a custom weighted moving average analyzing trends in the market. Unlike other moving averages; weighting has been considered to account for ranging markets. The Reactor will turn gray in a ranging market to avoid chop allowing for filtering of trades. This offers a unique insight into price action. Classical moving averages will constantly attempt to re-adapt to a trend whereas the Reactor will avoid adaptation where it sees fit.
The Quantum Reactor column therefore shows the current state of this calculation making for easy volume analysis at a glance.
Candlestick Structure Classifier
Beyond signal identification, the screener incorporates a comprehensive analysis of candle patterns and potential reversals. Employing contrarian logic, the tool highlights key reversal signals on assets. Additionally, the screener accommodates ChartPrime's candlestick pattern identification, contributing a predictive element for anticipating market reversals or continuations.
These candle sticks are detected via traditional candle formations however it is important to note these are filtered. By looking for reversal candles with correct momentum attributes we can create a unique candlestick detection system.
Only patterns with statistically relevant characteristics are displayed.
Volatility Computation
In trading, volatility and finding volatile assets can help traders get in on opportunities and assess market conditions. This column in the table leverages filtered Z-scores to present a percentage rating with anything >70% deemed highly volatile. These are charts of the present possible scalping opportunities depending on the selected timeframe.
The Plus Screener consolidates multiple analytical models each focused on a distinct aspect of market behaviour, into a single, structured output.
By evaluating trend direction, displacement pressure, probabilistic bias, reversal potential, structural candle formation, and volatility phases, the system offers a high-resolution overview of each asset in a watchlist.
The goal is not to issue buy/sell decisions, but to present objective system states so traders can:
- rapidly identify favourable environments
- filter out assets lacking structure
- locate high-energy or low-energy conditions
- observe early signs of trend initiation, trend exhaustion, or reversal formation
Trend Catcher - Divergences v2 - by Crypto_Dan_CroIf you want to get this indicator, contact me on
X handle: @crypto_dan_cro
What is Trend Catcher - Divergences v2?
It's advanced TradingView indicator designed to automatically detect and visualize divergences between price action and the RSI indicator, enhanced with smart filtering and visual strength analysis.
This tool helps traders identify potential trend reversals, continuation opportunities, and areas of weakening momentum with high clarity and precision.
Key Features
Automatic Detection of Divergences:
- Bullish divergence
- Bearish divergence
- Hidden bullish divergence
- Hidden bearish divergence
Overlap Prevention System
When bullish and bearish divergences occur in the same zone, the script intelligently prioritizes the stronger and more reliable signal to avoid confusion and clutter.
Visual Chart Rendering
Each divergence is displayed with:
- A line connecting key swing points
- A label showing: Divergence type, Active confirmation filter, Signal strength (Weak / Medium / Strong / Extreme)
Divergence Strength Heatmap
The indicator includes a Heatmap system that visually represents divergence strength using color intensity:
- Weak divergences appear lighter and more transparent
- Strong divergences appear bold and highly visible
Strength Classification Levels
Every divergence is categorized into one of four levels: Weak, Medium, Strong, Extreme
Confirmation Filters
- RSI + Trend Filter (recommended)
- RSI + MACD
- RSI + OBV
- MACD + Price Action
Multi-Timeframe Information Panels
ACTUAL DIVERGENCES
Displays currently active divergences across timeframes
LATEST DIVERGENCES
Shows the most recent divergence detected on each timeframe
Included timeframes:
15m, 30m, 1h, 4h, 8h, 12h, 1D, 3D, 1W, 1M
Ideal Use Cases
This indicator is perfect for:
- Swing trading
- Identifying reversal zones
- Momentum exhaustion detection
- Supporting price action strategies
- Trend confirmation and filtering
Trend Catcher – Divergences v2 provides a powerful yet clear approach to divergence trading by combining:
- Smart logic
- Visual clarity
- Strenght analysis
- Reliable filtering
It is built for traders who want precision, clarity, and confidence when trading divergences.
Crypto markets are volatile, if you choose to use this indicator for trading, you are doing it on your own. Crypto_dan_cro is not responsible for any profits or losses created by using this Indicator.
SWS Snowflake Sniper – Hybrid Fundamental & Technical SystSWS Snowflake Sniper is a comprehensive hybrid trading system designed to filter the highest-quality opportunities by combining strict Fundamental Analysis (Value) with precise Technical Momentum (Trend).
It answers the two most important questions in trading: What to buy? and When to buy?
1. ❄️ The Fundamental Engine (The "Snowflake")
The indicator scans the company's financial statements in real-time to generate a Global Fundamental Score (0-100) based on 6 key pillars:
🏥 HEALTH: Solvency and liquidity (Current Ratio, Debt/Equity, Altman Z).
🔮 FUTURE: Growth metrics (Revenue, EPS, SGR).
📜 PAST: Efficiency and Profitability (ROE, ROA, Piotroski F-Score).
🛡️ RISK: Volatility, Beta, Max Drawdown, Leverage.
💰 VALUATION: Relative value (P/E, PEG, EV/EBITDA, FCF Yield).
💸 CASH FLOW: Quality of earnings and Free Cash Flow generation.
Logic: If the Global Score is > 85, the chart background turns Green, indicating the asset is "Investable".
2. ⚙️ The Technical Engine (Trendrating)
To time the entry, the script calculates a composite momentum score based on a weighted average of 8 indicators: ADX, TEMA, Klinger, MFI, PFE, ROC, RVI, and Aroon.
It classifies the trend into 4 Ratings:
🟢 A (Strong Bull): High momentum.
🔵 B (Weak Bull): Accumulation/Uptrend.
🟠 C (Weak Bear): Distribution/Correction.
🔴 D (Bear): Strong downtrend.
🧩 The Dashboard & UI
A detailed Heads-Up Display (HUD) allows you to audit every metric instantly. You can see exactly which financial criteria the company passed or failed (e.g., "ROE > 10% ✅").
🚀 The "Sniper" Signal
The indicator issues a SNIPER BUY signal only when two conditions meet:
Fundamental Score > 85 (Safe Company).
Technical Rating = A (Strong Momentum).
Best used on: Stocks (Equities) with available financial data.
Timeframe: Optimized for Daily (1D) and Weekly (1W) swing trading.
