TF weekly System 1 — Weekly Trend Flip Indicator
System 1 (Weekly) is a simple trend-following indicator that uses weekly EMAs with ATR filtering to highlight strong directional shifts.
📈 Uses weekly fast & slow EMAs
🧭 ATR filter removes weak or choppy signals
🟢 Bullish regime = fast EMA above slow + ATR margin
🔴 Bearish regime = fast EMA below slow − ATR margin
⚪ Neutral when neither condition is met
Works on any chart timeframe, but signals are based on weekly data
Ideal for position traders and longer-term swing trading
💡 Tip: Use this indicator to confirm larger trend direction and combine with lower timeframe strategies for entry timing.
Скользящие средние
Final trend following weeklySystem 1 — Weekly Trend Flip Indicator
System 1 (Weekly) is a simple trend-following indicator that uses weekly EMAs with ATR filtering to highlight strong directional shifts.
📈 Uses weekly fast & slow EMAs
🧭 ATR filter removes weak or choppy signals
🟢 Bullish regime = fast EMA above slow + ATR margin
🔴 Bearish regime = fast EMA below slow − ATR margin
⚪ Neutral when neither condition is met
Works on any chart timeframe, but signals are based on weekly data
Ideal for position traders and longer-term swing trading
💡 Tip: Use this indicator to confirm larger trend direction and combine with lower timeframe strategies for entry timing.
Trend following system WeeklySystem 1 — Weekly Trend Flip Strategy
System 1 (Weekly) is a trend-following strategy designed to trigger only on weekly timeframe signals.
It aims to catch clean trend shifts and avoid lower-timeframe noise.
Uses fast and slow EMAs with ATR filtering to detect strong weekly momentum
Enters long on a bullish flip of the EMAs
Exits on a bearish flip or neutral zone (optional)
Ideal for position traders, swing traders, and investors who want fewer, higher-quality signals
Signals are generated only on weekly candle closes
📊 Tip: This strategy works best on assets with clear medium-term trends. You can use it alongside daily or intraday systems for additional confirmation.
ADX-DEMA-KAMA StrategyThis is a trend-following indicator that combines three technical tools:
DEMA (Double Exponential Moving Average) - Fast-responding trend line
KAMA (Kaufman's Adaptive Moving Average) - Adaptive trend line that adjusts to market volatility
ADX (Average Directional Index) with DI+/DI- - Measures trend strength and direction
How it works:
Buy Signal: DEMA crosses above KAMA when ADX is rising and DI+ > DI-
Sell Signal: DEMA crosses below KAMA when ADX is rising and DI- > DI+
The indicator displays both moving averages on the chart, plots buy/sell arrows, and shows a status table with current values. It only triggers trades when there's strong trend confirmation from all three components.RetryClaude can make mistakes. Please double-check responses.
Trend following system with ADR and volumeSystem 1 — Trend Flip Strategy
System 1 is a simple trend-following strategy that enters on a bullish EMA flip and exits when the trend weakens or reverses. It’s built to catch clean moves and avoid chop.
Uses fast and slow EMAs with ATR filtering to detect real momentum
Enters long on a bullish flip
Exits on a bearish flip or neutral zone (optional)
Clear signals with easy-to-read entry and exit markers
Great for trending markets and momentum setups
Tip: Test across multiple timeframes and pair with volume or higher-timeframe confluence for stronger signals.
Trend system🧭 System 1 – Trend Flip Strategy
System 1 is a simple yet powerful EMA-based strategy designed to capture early trend flips using volatility-adjusted signals. It works best on trending markets and aims to get you positioned early in the move while avoiding chop when the market is neutral.
📊 Core Logic
Uses a fast EMA and slow EMA to define market structure.
Applies an ATR-based margin to filter out noise and identify true bullish or bearish momentum shifts.
Generates a one-shot long entry when the market flips bullish.
Closes the position either on a bearish flip or optionally on neutral signals for a cleaner exit.
⚙️ Key Features
🟢 Trend confirmation with EMA + ATR margin
🪄 One-shot entries – only enters when flat and a clean flip occurs
🚪 Configurable exits – choose to exit on trend reversal or neutrality
🧭 Clear visual cues – color-coded EMA bands and entry/exit markers
📬 Custom alert messages – ready for webhook automation or bot integration
🧠 Why It May Be Useful
Great for momentum traders looking to enter early on trend shifts.
ATR filtering helps avoid false signals during choppy conditions.
Minimal parameters make it easy to optimize across multiple markets and timeframes.
Useful for systematic strategy builders as a core trend-following module.
Compatible with automation and alerts, making it suitable for both discretionary and systematic approaches.
📌 Tip:
For best results, test across multiple timeframes and assets. Consider pairing with volume or higher-timeframe confluence to improve selectivity.
Zay Gwet AlertEMA 9, VWAP and ORB 15 minutes alert in Burmese. When the market across the EMA 9 will give alert to buy or sell. And when the market across the VWAP and ORB 15 will alert as well. Especially for Burmese community as it is in Burmese language.
Relative Strength Peers -> PROFABIGHI_CAPITAL🌟 Overview
This indicator evaluates relative strength among a customizable group of assets by comparing their smoothed RSI values, identifying outperformers and underperformers through a scoring matrix. It generates visual tables to rank assets based on peer performance, aiding traders in spotting momentum leaders for potential allocation or rotation strategies.
⚙️ Settings
- Adjustable number of assets for analysis, balancing depth with performance
- RSI calculation period for momentum sensitivity
- Primary moving average type and length for initial RSI smoothing
- Optional secondary moving average type and length for advanced comparison
- Toggle for dual moving average scoring versus threshold-based evaluation
- Volatility lookback for adaptive smoothing in variable market conditions
- Table customization options like text size, header visibility, and input summaries
- Highlighting preferences for trends, top performers, and visual emphasis methods
- Enable/disable switches for RSI computations, table displays, and asset inputs
📊 Data Acquisition & Preparation
- Fetches real-time closing prices from selected asset tickers using security requests
- Cleans ticker symbols by removing exchange prefixes for consistent labeling
- Limits analysis to specified asset count to optimize processing speed
- Stores prices in dedicated variables per asset for efficient relative calculations
- Validates data integrity by detecting constant or invalid sources
- Builds an array of user-defined assets, supporting up to 40 cryptocurrency pairs
- Updates prices only on confirmed bars to ensure reliable historical alignment
📈 RSI Smoothing & Scoring Logic
- Computes base RSI on asset prices normalized against each peer for relative momentum
- Applies user-selected smoothing to RSI using various moving average methods
- Supports simple averages like SMA and EMA for basic trend filtering
- Includes advanced options such as HMA for reduced lag and VIDYA for volatility adaptation
- Handles double smoothing with optional second MA for crossover-based signals
- Assigns binary scores: outperforming (1) if smoothed RSI exceeds neutral threshold or faster MA leads slower one
- Aggregates scores across all peers into per-asset totals for overall strength ranking
- Ranks assets by descending sum, with ties preserved in top performer lists
📋 Matrix & Ranking Computation
- Constructs a comprehensive score matrix comparing each asset against every other
- Populates rows and columns with directional indicators for quick outperformance scans
- Sums row values to quantify an asset's dominance over the peer group
- Derives ranks through pairwise comparisons, prioritizing higher total scores
- Manages ties in rankings to ensure fair representation in leaderboards
- Combines matrix data into a flattened array for efficient table rendering
- Filters computations to active asset count, avoiding unnecessary overhead
📉 Visualization
- Renders a main table as a heatmap-style matrix with rocket (🚀) for outperformance and down arrow (📉) for underperformance
- Displays asset labels along axes, with diagonal blanks to avoid self-comparisons
- Includes summary columns for total scores and final ranks, with optional gradient highlighting
- Positions a compact top assets table in the upper right, listing leaders with points allocation
- Customizes appearance via text sizing, background/text emphasis, and header toggles
- Shows input parameters summary row for quick reference without menu access
- Updates visuals only on the last bar for real-time relevance without repainting
🛠 Performance & Customization
- Conditional enabling of features like RSI analysis to reduce computational load
- Modular functions for price fetching, smoothing, and scoring to enhance maintainability
- Array-based storage for scalable handling of up to 40 assets without code bloat
- Inline options for MA configurations to streamline user interface
- Tooltip guidance on each input for contextual help during setup
- Fixed table positions (bottom center for main, top right for leaders) for consistent viewing
- Handles edge cases like zero volatility or missing data with fallback logic
✅ Key Takeaways
- Delivers peer-relative momentum insights through RSI-driven scoring and visual matrices
- Flexible smoothing and dual-MA modes adapt to diverse trading styles and sensitivities
- Prioritizes top performers with ranked tables, easing asset rotation decisions
- Optimizes for performance with toggles and limits, suitable for live trading dashboards
- Combines quantitative ranks with intuitive symbols for rapid market scanning
Kalman Filter [DCAUT]█ Kalman Filter
📊 ORIGINALITY & INNOVATION
The Kalman Filter represents an important adaptation of aerospace signal processing technology to financial market analysis. Originally developed by Rudolf E. Kalman in 1960 for navigation and guidance systems, this implementation brings the algorithm's noise reduction capabilities to price trend analysis.
This implementation addresses a common challenge in technical analysis: the trade-off between smoothness and responsiveness. Traditional moving averages must choose between being smooth (with increased lag) or responsive (with increased noise). The Kalman Filter improves upon this limitation through its recursive estimation approach, which continuously balances historical trend information with current price data based on configurable noise parameters.
The key advancement lies in the algorithm's adaptive weighting mechanism. Rather than applying fixed weights to historical data like conventional moving averages, the Kalman Filter dynamically adjusts its trust between the predicted trend and observed prices. This allows it to provide smoother signals during stable periods while maintaining responsiveness during genuine trend changes, helping to reduce whipsaws in ranging markets while not missing significant price movements.
📐 MATHEMATICAL FOUNDATION
The Kalman Filter operates through a two-phase recursive process:
Prediction Phase:
The algorithm first predicts the next state based on the previous estimate:
State Prediction: Estimates the next value based on current trend
Error Covariance Prediction: Calculates uncertainty in the prediction
Update Phase:
Then updates the prediction based on new price observations:
Kalman Gain Calculation: Determines the weight given to new measurements
State Update: Combines prediction with observation based on calculated gain
Error Covariance Update: Adjusts uncertainty estimate for next iteration
Core Parameters:
Process Noise (Q): Represents uncertainty in the trend model itself. Higher values indicate the trend can change more rapidly, making the filter more responsive to price changes.
Measurement Noise (R): Represents uncertainty in price observations. Higher values indicate less trust in individual price points, resulting in smoother output.
Kalman Gain Formula:
The Kalman Gain determines how much weight to give new observations versus predictions:
K = P(k|k-1) / (P(k|k-1) + R)
Where:
K is the Kalman Gain (0 to 1)
P(k|k-1) is the predicted error covariance
R is the measurement noise parameter
When K approaches 1, the filter trusts new measurements more (responsive).
When K approaches 0, the filter trusts its prediction more (smooth).
This dynamic adjustment mechanism allows the filter to adapt to changing market conditions automatically, providing an advantage over fixed-weight moving averages.
📊 COMPREHENSIVE SIGNAL ANALYSIS
Visual Trend Indication:
The Kalman Filter line provides color-coded trend information:
Green Line: Indicates the filter value is rising, suggesting upward price momentum
Red Line: Indicates the filter value is falling, suggesting downward price momentum
Gray Line: Indicates sideways movement with no clear directional bias
Crossover Signals:
Price-filter crossovers generate trading signals:
Golden Cross: Price crosses above the Kalman Filter line, suggests potential bullish momentum development, may indicate a favorable environment for long positions, filter will naturally turn green as it adapts to price moving higher
Death Cross: Price crosses below the Kalman Filter line, suggests potential bearish momentum development, may indicate consideration for position reduction or shorts, filter will naturally turn red as it adapts to price moving lower
Trend Confirmation:
The filter serves as a dynamic trend baseline:
Price Consistently Above Filter: Confirms established uptrend
Price Consistently Below Filter: Confirms established downtrend
Frequent Crossovers: Suggests ranging or choppy market conditions
Signal Reliability Factors:
Signal quality varies based on market conditions:
Higher reliability in trending markets with sustained directional moves
Lower reliability in choppy, range-bound conditions with frequent reversals
Parameter adjustment can help adapt to different market volatility levels
🎯 STRATEGIC APPLICATIONS
Trend Following Strategy:
Use the Kalman Filter as a dynamic trend baseline:
Enter long positions when price crosses above the filter
Enter short positions when price crosses below the filter
Exit when price crosses back through the filter in the opposite direction
Monitor filter slope (color) for trend strength confirmation
Dynamic Support/Resistance:
The filter can act as a moving support or resistance level:
In uptrends: Filter often provides dynamic support for pullbacks
In downtrends: Filter often provides dynamic resistance for bounces
Price rejections from the filter can offer entry opportunities in trend direction
Filter breaches may signal potential trend reversals
Multi-Timeframe Analysis:
Combine Kalman Filters across different timeframes:
Higher timeframe filter identifies primary trend direction
Lower timeframe filter provides precise entry and exit timing
Trade only in direction of higher timeframe trend for better probability
Use lower timeframe crossovers for position entry/exit within major trend
Volatility-Adjusted Configuration:
Adapt parameters to match market conditions:
Low Volatility Markets (Forex majors, stable stocks): Use lower process noise for stability, use lower measurement noise for sensitivity
Medium Volatility Markets (Most equities): Process noise default (0.05) provides balanced performance, measurement noise default (1.0) for general-purpose filtering
High Volatility Markets (Cryptocurrencies, volatile stocks): Use higher process noise for responsiveness, use higher measurement noise for noise reduction
Risk Management Integration:
Use filter as a trailing stop-loss level in trending markets
Tighten stops when price moves significantly away from filter (overextension)
Wider stops in early trend formation when filter is just establishing direction
Consider position sizing based on distance between price and filter
📋 DETAILED PARAMETER CONFIGURATION
Source Selection:
Determines which price data feeds the algorithm:
OHLC4 (default): Uses average of open, high, low, close for balanced representation
Close: Focuses purely on closing prices for end-of-period analysis
HL2: Uses midpoint of high and low for range-based analysis
HLC3: Typical price, gives more weight to closing price
HLCC4: Weighted close price, emphasizes closing values
Process Noise (Q) - Adaptation Speed Control:
This parameter controls how quickly the filter adapts to changes:
Technical Meaning:
Represents uncertainty in the underlying trend model
Higher values allow the estimated trend to change more rapidly
Lower values assume the trend is more stable and slow-changing
Practical Impact:
Lower Values: Produces very smooth output with minimal noise, slower to respond to genuine trend changes, best for long-term trend identification, reduces false signals in choppy markets
Medium Values: Balanced responsiveness and smoothness, suitable for swing trading applications, default (0.05) works well for most markets
Higher Values: More responsive to price changes, may produce more false signals in ranging markets, better for short-term trading and day trading, captures trend changes earlier, adjust freely based on market characteristics
Measurement Noise (R) - Smoothing Control:
This parameter controls how much the filter trusts individual price observations:
Technical Meaning:
Represents uncertainty in price measurements
Higher values indicate less trust in individual price points
Lower values make each price observation more influential
Practical Impact:
Lower Values: More reactive to each price change, less smoothing with more noise in output, may produce choppy signals
Medium Values: Balanced smoothing and responsiveness, default (1.0) provides general-purpose filtering
Higher Values: Heavy smoothing for very noisy markets, reduces whipsaws significantly but increases lag in trend change detection, best for cryptocurrency and highly volatile assets, can use larger values for extreme smoothing
Parameter Interaction:
The ratio between Process Noise and Measurement Noise determines overall behavior:
High Q / Low R: Very responsive, minimal smoothing
Low Q / High R: Very smooth, maximum lag reduction
Balanced Q and R: Middle ground for most applications
Optimization Guidelines:
Start with default values (Q=0.05, R=1.0)
If too many false signals: Increase R or decrease Q
If missing trend changes: Decrease R or increase Q
Test across different market conditions before live use
Consider different settings for different timeframes
📈 PERFORMANCE ANALYSIS & COMPETITIVE ADVANTAGES
Comparison with Traditional Moving Averages:
Versus Simple Moving Average (SMA):
The Kalman Filter typically responds faster to genuine trend changes
Produces smoother output than SMA of comparable length
Better noise reduction in ranging markets
More configurable for different market conditions
Versus Exponential Moving Average (EMA):
Similar responsiveness but with better noise filtering
Less prone to whipsaws in choppy conditions
More adaptable through dual parameter control (Q and R)
Can be tuned to match or exceed EMA responsiveness while maintaining smoothness
Versus Hull Moving Average (HMA):
Different noise reduction approach (recursive estimation vs. weighted calculation)
Kalman Filter offers more intuitive parameter adjustment
Both reduce lag effectively, but through different mechanisms
Kalman Filter may handle sudden volatility changes more gracefully
Response Characteristics:
Lag Time: Moderate and configurable through parameter adjustment
Noise Reduction: Good to excellent, particularly in volatile conditions
Trend Detection: Effective across multiple timeframes
False Signal Rate: Typically lower than simple moving averages in ranging markets
Computational Efficiency: Efficient recursive calculation suitable for real-time use
Optimal Use Cases:
Markets with mixed trending and ranging periods
Assets with moderate to high volatility requiring noise filtering
Multi-timeframe analysis requiring consistent methodology
Systematic trading strategies needing reliable trend identification
Situations requiring balance between responsiveness and smoothness
Known Limitations:
Parameters require adjustment for different market volatility levels
May still produce false signals during extreme choppy conditions
No single parameter set works optimally for all market conditions
Requires complementary indicators for comprehensive analysis
Historical performance characteristics may not persist in changing market conditions
USAGE NOTES
This indicator is designed for technical analysis and educational purposes. The Kalman Filter's effectiveness varies with market conditions, tending to perform better in markets with clear trending phases interrupted by consolidation. Like all technical indicators, it has limitations and should not be used as the sole basis for trading decisions, but rather as part of a comprehensive trading approach.
Algorithm performance varies with market conditions, and past characteristics do not guarantee future results. Always test thoroughly with different parameter settings across various market conditions before using in live trading. No technical indicator can predict future price movements with certainty, and all trading involves risk of loss.
RAF@SSET POWER-7 MA SuiteWhat it is
A clean, lightweight pack of seven moving averages (1m, 5m, 15m, 1H, 4H, 1D, 1W).
HTF lines are confirmed-only (no intra-bar wiggle), so what you see is what closed—no repaint on HTFs. Use it to anchor scalps to higher-timeframe structure without clutter.
Why you’ll like it
1m→1W in one look – see alignment from scalp to swing.
Confirmed HTFs – uses request.security() with lookahead_off and only plots closed values.
Zero fluff – just MAs, fixed colors, ultra-fast.
Your presets – default to my “Power-7” lengths (e.g., 233) or set your own.
SMA/EMA switch – pick your poison globally.
Inputs
Show/hide: 1m, 5m, 15m, 1H, 4H, 1D, 1W
Length per TF (defaults 233)
MA type: SMA / EMA
Color per TF
How it works (short)
Current-TF MA updates live.
Higher TF MAs (5m, 15m, 1H, 4H/“240”, 1D, 1W) only update when their candle closes. That removes “wiggle” and surprise shifts.
Tips
For scalping: trade off LTF, bias from 1H/4H/1D.
For swing: let 1D/1W set bias; use 1H/4H for timing.
Your current chart TF MA is live (by design). If you want it confirmed too, set your chart to the HTF you care about.
Built from my RAF@SSET workflow. Shoutout to everyone who keeps indicators simple and readable.
v1.0: First public release (Pine v6). Seven MAs (1m→1W), confirmed HTFs, fixed colors, SMA/EMA toggle.
TV_RSI_VNTV_RSI_VN is an advanced RSI-based indicator designed for Vietnamese traders.
It enhances the traditional RSI by adding multi-timeframe analysis, signal visualization, and divergence detection.
Features:
– Multi-timeframe RSI display
– RSI-based trend strength and reversal zones
– Regular and Hidden Divergence (Bullish/Bearish)
– RSI-based Support & Resistance levels
– RSI Price Ladder and signal alerts
This tool helps traders identify momentum shifts, confirm entries, and analyze market behavior with improved clarity.
EMA × MOST CrossThe EMA × MOST Cross indicator combines the Exponential Moving Average (EMA) with the Moving Stop (MOST) system to identify early trend reversals and confirm trend continuation phases.
MOST acts as a dynamic trailing stop that adapts to price volatility, while EMA provides directional bias and short-term momentum confirmation.
A BUY signal is generated when EMA crosses above the MOST line, indicating a possible bullish reversal or trend continuation.
A SELL signal is triggered when EMA crosses below the MOST line, suggesting bearish continuation or reversal conditions.
The indicator colors bars according to the EMA–MOST relationship to visually represent trend strength:
🟩 Green tones → bullish bias (EMA and price above MOST)
🟥 Red tones → bearish bias (EMA and price below MOST)
🟦 Aqua → neutral phase or transition zone
How to use:
Works best on trending markets and mid-term timeframes (e.g., 1h, 4h, 1D).
Combine it with volume or structure-based confirmations for higher accuracy.
Use the built-in parameters to fine-tune sensitivity:
MOST MA length: adjusts the responsiveness of the MOST line.
MOST percent: defines the offset distance of the stop bands.
EMA length: defines the crossover sensitivity.
Updated settings:
Default MOST Length: 5
Default MOST Percent: 1.5%
Concept:
This script refines the traditional MOST logic by pairing it with an EMA cross mechanism, aiming to filter false reversals and improve entry timing. It’s designed for traders who prefer clear, visual cross-based trend confirmation while maintaining adjustable flexibility for different instruments.
Global Risk Terminal – Multi-Asset Macro Sentiment IndicatorDescription:
The Global Risk Terminal is a sophisticated macro sentiment indicator that synthesizes signals from three key cross-asset relationships to produce a single, actionable risk appetite score. It is designed to help traders and investors identify whether global markets are in a risk-on (growth-seeking) or risk-off (defensive) regime. The indicator analyzes the behavior of commodities, equities, bonds, and currencies to generate a comprehensive view of market conditions.
Indicator Output:
The Global Risk Terminal produces a normalized risk score ranging from -1 to +1:
Positive values indicate risk-on conditions (growth assets favored)
Negative values indicate risk-off conditions (safe-haven assets favored)
Core Components:
Growth Pulse (Copper to Gold Ratio, HG/GC)
Purpose: Measures investor preference for industrial growth versus safe-haven assets.
Interpretation:
Rising ratio → Copper outperforming gold → Risk-on environment
Falling ratio → Gold outperforming copper → Risk-off environment
Flat ratio → Transitional market phase
Technical Implementation: Dual moving average slope method (fast MA default 20, slow MA default 40). Positive slope = +1, negative slope = -1, flat slope = 0
Equity Rotation (Russell 2000 to S&P 500 Ratio, RTY/ES)
Purpose: Tracks rotation between small-cap and large-cap equities, revealing market risk appetite.
Interpretation:
Rising ratio → Small-caps outperforming → Strong risk-on
Falling ratio → Large-caps outperforming → Defensive positioning
Technical Implementation: Dual moving average slope method (same as Growth Pulse)
Flow Gauge (10-Year Treasury to US Dollar Index, ZN/DXY)
Purpose: Captures liquidity conditions and cross-asset capital flows.
Interpretation:
Rising ratio → Treasury prices rising or USD weakening → Liquidity expansion, risk-on environment
Falling ratio → Treasury prices falling or USD strengthening → Liquidity contraction, risk-off environment
Technical Implementation: Dual moving average slope method
Composite Risk Score Calculation:
Analyze each component for trend using dual moving averages
Assign signal values: +1 (risk-on), -1 (risk-off), 0 (neutral)
Average the three signals:
Risk Score = (Growth Pulse + Equity Rotation + Flow Gauge) / 3
Optional smoothing with exponential moving average (default 3 periods) to reduce noise
Interpreting the Risk Score:
+0.66 to +1.0: Full risk-on – favor cyclical sectors, small-caps, growth strategies
+0.33 to +0.66: Moderate risk-on – mostly bullish environment, watch for fading momentum
-0.33 to +0.33: Neutral/transition – markets in flux, signals mixed, exercise caution
-0.66 to -0.33: Cautious risk-off – favor defensive sectors, reduce high-beta exposure
-1.0 to -0.66: Full risk-off – strong defensive positioning, prioritize safe-haven assets
How to Use the Global Risk Terminal to Frame Trades:
Aligning Trades with Market Regime
Risk-On (+0.33 and above): Look for buying opportunities in cyclical stocks, high-beta equities, commodities, and emerging markets. Use long entries for swing trades or intraday positions, following confirmed price action.
Risk-Off (-0.33 and below): Shift focus to defensive sectors, large-cap quality stocks, U.S. Treasuries, and safe-haven currencies. Prefer short entries or reduced exposure in risky assets.
Entry and Exit Framing
Use the risk score as a macro filter before executing trades:
Example: The risk score is +0.7 (strong risk-on). Prefer long positions in equities or commodities that are showing bullish confirmation on your regular chart.
Conversely, if the risk score is -0.7 (strong risk-off), avoid aggressive longs and consider short or defensive trades.
Watch for threshold crossings (+/-0.33, +/-0.66) as potential inflection points for adjusting position size, stop-loss levels, or sector rotation.
Confirming Trade Decisions
Combine the Global Risk Terminal with price action, volume, and trend indicators:
If equities rally but the risk score is declining, this may indicate a fragile rally driven by few leaders—trade cautiously.
If equities fall but the risk score is rising, consider counter-trend entries or buying dips.
Risk Management and Position Sizing
Strong alignment across components → increase position size and hold with wider stops
Mixed or neutral signals → reduce exposure, tighten stops, or avoid new trades
Defensive regimes → rotate into stable, low-volatility assets and increase cash buffer
Framing Trades Across Timeframes
Use the indicator as a strategic guide rather than a precise timing tool. Even without the MTF table:
Daily trend alignment → Guide swing trade bias
Shorter timeframe price action → Refine entry points and stop placement
Example: Daily chart shows +0.6 risk score → identify high-probability long setups using intraday technical patterns (breakouts, trend continuation).
Sector and Asset Rotation
Risk-On: Focus on cyclical sectors (financials, industrials, materials, energy), small-caps, high-beta instruments
Risk-Off: Focus on defensive sectors (utilities, consumer staples, healthcare), large-caps, safe-haven instruments
Alert Integration
Set alerts on the risk score to notify you when markets move from neutral to risk-on or risk-off regimes. Use these alerts to plan entries, exits, or portfolio adjustments in advance.
Customization Options:
Moving Average Length (5–100): Adjust sensitivity of trend detection
Score Smoothing (1–10): Reduce noise or see raw risk score
Visual Themes: Six preset themes (Cyber, Ocean, Sunset, Monochrome, Matrix, Custom)
Display Options: Show or hide component dashboards, main header, risk level lines, gradient fill, and component signals
Label Size: Tiny, Small, Normal, Large
Alert Conditions:
Risk score crosses above +0.66 → Strong risk-on
Risk score crosses below -0.66 → Strong risk-off
Risk score crosses zero → Neutral line
Risk score crosses above +0.33 → Moderate risk-on
Risk score crosses below -0.33 → Moderate risk-off
Data Sources:
HG1! – Copper Futures (COMEX)
GC1! – Gold Futures (COMEX)
RTY1! – Russell 2000 E-mini Futures (CME)
ES1! – S&P 500 E-mini Futures (CME)
ZN1! – 10-Year U.S. Treasury Note Futures (CBOT)
DXY – U.S. Dollar Index (ICE)
Notes and Limitations:
Works best during clear macro regimes and aligned trends
Use with price action, volume, and other technical tools
Not a standalone trading system; serves as a macro context filter
Equal weighting assumes all three components are equally important, but market conditions may vary
Past performance does not guarantee future results
Conclusion:
The Global Risk Terminal consolidates complex cross-asset signals into a simple, actionable score that informs market regime, portfolio positioning, sector rotation, and trading decisions. Its user-friendly layout and extensive customization options make it suitable for traders of all experience levels seeking macro-driven insights. By framing trades around risk score thresholds and combining macro context with tactical execution, traders can identify higher-probability opportunities and optimize position sizing, entries, and exits across a wide range of market conditions.
Daily/Weekly EMAs on Lower TimeframesThis indicator allows traders to view Daily and Weekly EMAs (Exponential Moving Averages) directly on lower timeframes such as 1m, 5m, 15m, or 1h charts — providing a higher timeframe perspective without switching charts.
The script includes individual checkboxes for each EMA length — 5, 8, 9, 21, 50, and 200 — organized into two clear sections:
🟢 Daily EMAs
🔵 Weekly EMAs
You can selectively enable or disable any EMA to match your trading style and reduce chart clutter.
Each EMA is color-coded for clarity and consistency:
5 EMA: Green
8 EMA: Blue
9 EMA: Blue
21 EMA: Orange
50 EMA: Purple
200 EMA: Red
Weekly EMAs appear slightly transparent to distinguish them from daily ones.
This makes it easy to visualize higher timeframe trend direction, confluence zones, and dynamic support/resistance levels while trading intraday.
💡 Key Features
View Daily and Weekly EMAs on smaller timeframes.
Individual checkbox toggles for all 6 EMA lengths.
Separate sections for Daily and Weekly EMAs.
Color-coded lines for easy visual recognition.
Works seamlessly on any symbol or timeframe below Daily.
ZTCRYPTOLAB - SMRT PRICE ACTION
• Overlay • Multi-tool Price Action suite
A compact, all-in-one price-action assistant that fuses signal generation, dynamic TP/SL visualization, market-structure mapping (internal & external), tight volumetric order blocks with metrics, HTF fair value gaps, MTF previous highs/lows with equilibrium, optional candle/bar coloring.
What it does
Signal Engine (AI FIlter)
Triggers by Flip (trend reversal).
Signal tiers: Normal vs Strong (strong = alignment with 200-EMA).
Optional bar coloring and marker style (triangles or labels).
Dynamic TP/SL + Floating Position Tool Updating Based of AI Filter
On each valid buy/sell, the tool locks entry and builds ATR-based SL/TP1–TP3.
Visual profit/risk boxes update each bar; right-side badges show live prices (ENTRY, SL, TP1/2/3).
Market Structure:
Dual streams: Internal (solid) and External (dashed/“+”).
Detects CHoCH, BOS, BoS+ with contextual lines/labels.
Liquidity sweeps (optional) mark failed breaks with dotted “x”.
Swing labels for HH/HL/LL/LH plus Equilibrium line between last HTF swing H/L (with distance % readout).
Tight Volumetric Order Blocks
Compact OB zones with Body/Wick/Mid/HL2 bounds; Middle or Absolute mitigation logic.
Overlap control (hide vs recent/previous), and auto-cleanup of opposite overlaps.
Internal metrics: per-box buy/sell “votes”, cumulative volume, and % of total volume for visible OBs.
Right extension configurable.
Prev Period H/L (MTF)
Prior Day / Week / Month / Year highs & lows with user styles.
HTF Fair Value Gaps:
Detects HTF FVGs (user TF) without lookahead and projects them to chart TF.
Shrink-on-close (keeps remainder) and delete-on-fill behavior.
Extension modes: Extend, Cap N Bars, or None.
Optional internal “FVG” label with fade control and separate bull/bear styling.
Automatic trimming to keep only the N most recent boxes.
Inputs (highlights)
Signals
Signal Mode: All / Normal / Strong
TP/SL AI POSITION TOOL
Enable, R/R (for SL & TP1–TP3)
Show/Hide Position tool if you want Market Structure native.
How to use
Price and TV Position Tool will display once Trend Reversal is confirmed and will Dynamically show Position and update per bar.
Choose signal strictness:
Strong confines longs above 200-EMA (shorts below), Normal allows earlier entries.
Visual trade planning:
Enable Position Tool for instant entry/SL/TP scaffolding sized by RR. Adjust RR Multiplier to match pair/volatility.
Read the structure map:
Internal stream for near-term intent; External for higher-order breaks. Watch CHoCH → BOS → BoS+ progressions.
Work OB + FVG confluence:
Tight OBs (with internal buy/sell votes) + HTF FVG remnants often frame high-quality retests.
Context with MTF H/L & Equilibrium:
Premium/discount zones and midline % distance help avoid chasing.
Notes & Tips
This tool is non-repainting for plotted confirmations (HTF requests use looka head_off), but any live bar is inherently provisional until close.
OB mitigation/invalidations can be set to require close or allow wick touches via mitigation settings.
For strictness, combine MA filter + Strong signals and favor entries near OB/FVG confluence in discount (for longs) or premium (for shorts).
Disclaimer
For educational purposes only. Not financial advice. Past performance does not guarantee future results. Always test on a demo and manage risk.
Moving Average Ribbon AZlyMoving Average Ribbon AZly
The Moving Average Ribbon AZly is a flexible trend-following indicator that visualizes market direction, strength, and transition phases using multiple customizable moving averages. It helps traders instantly identify when short-, medium-, and long-term trends align or diverge.
🔧 How it works
Up to six moving averages can be plotted, each with its own:
Type (SMA, EMA, SMMA, WMA, VWMA, or HMA)
Length, color, and width
Custom source input
The script also adds adaptive color fills between key pairs:
MA1–MA2: short-term momentum
MA4–MA5: mid-term bias
MA5–MA6: long-term trend
Bullish alignment paints green or blue ribbons, while bearish alignment turns them red or pink. The wider the ribbon, the stronger the trend separation.
💡 Why it’s better
Unlike typical ribbon indicators, this version offers full per-line customization, adaptive color fills, and a clean, high-contrast design that makes trend shifts instantly recognizable . It’s optimized for clarity, flexibility, and smooth performance on any market or timeframe.
🎯 Trading ideas
Trend confirmation: Trade only in the direction of the ribbon (green for long, red for short).
Early reversals: Watch for the fastest MAs (MA1–MA2) crossing the mid-term pair (MA4–MA5) as early signals of a trend shift.
Momentum compression: When the ribbon narrows or colors alternate rapidly, it signals consolidation or potential breakout zones.
Pullback entries: Enter trades when price bounces off the outer ribbon layer in the direction of the dominant trend.
Multi-timeframe use: Combine with a higher timeframe ribbon to confirm overall market bias.
📊 Recommended use
Works on all markets and timeframes. Ideal for trend-following, swing trading, and visual confirmation of price structure.
Key-Levels - D/W/M High-Low + Fib + MA🧭 Key-Levels – D/W/M High-Low + Fibonacci + Moving Averages
A complete multi-timeframe analysis toolkit that combines Daily, Weekly, and Monthly high/low levels, Fibonacci retracements, and customizable moving averages — all in one clean, efficient display.
Ideal for traders who want to identify key reaction zones, retracement levels, and trend alignment across multiple timeframes.
🔹 Features
1. Prior High/Low Levels
Plots Daily (PDH/PDL), Weekly (PWH/PWL), and Monthly (PMH/PML) key levels
Adjustable colors, styles (Solid / Dashed / Dotted), and line widths
Optional midline display for each timeframe
Displays live labels with price values and % difference from current close
Extend lines rightward to project future price interactions
2. Fibonacci Retracement
Auto-detects swing highs/lows using configurable pivot lengths
Smart pivot logic prioritizes major swings based on % span
Auto-orients retracements depending on trend direction
Customizable visibility and color for each Fibonacci level
Supports 0.236 → 1.618 levels, with optional auto-extension in uptrend scenarios
Displays ratio + price for each level label
3. Pivot Labels
Optionally show pivot high/low labels with customizable text and background colors
Independent control of left/right length and label style
4. Moving Averages
Up to three customizable MAs (default: 8 EMA, 21 EMA, 50 SMA)
Choose between EMA or SMA for each
Toggle individual or all moving averages
Adjustable lengths, colors, and line widths
5. Alerts
Built-in alert condition for price crossing a user-defined level
Clean alert message format with ticker symbol and live price
⚙️ Customization
Flexible style controls for lines, labels, and colors
Adjustable right-extension length for projecting levels
Font size and visibility toggles for all elements
Smart grouping for intuitive settings management
📈 Ideal For
Identifying key reversal or breakout zones
Spotting Fibonacci confluence between retracements and prior highs/lows
Tracking trend structure via multi-timeframe MAs
Swing traders, intraday traders, and technical analysts
💡 Summary
Key-Levels – D/W/M High-Low + Fib + MA is a professional-grade indicator designed to simplify complex multi-timeframe analysis.
It helps you see the bigger picture, find actionable zones, and trade with confidence.
🧩 Compatible with any market and timeframe.
EMA Trend Buy sell strategyThis strategy is built to help investors get into a trend safely and smartly — without rushing and without getting in and out too often.
When to Buy:
First Signal – Small Step In (50% Buy)
When the short-term trend (EMA 18) turns positive and goes above the medium trend (EMA 33),
👉 we buy half of our planned position.
This is an early warning that a new upward trend might be starting.
Second Signal – Full Confidence (Buy other 50%)
If the medium-term trend (EMA 33) also crosses above the long-term (EMA 50),
👉 we buy the other half of the position.
Now we’re more confident that the trend is real.
When to Sell:
First Warning – Reduce Position (Sell 50%)
If EMA 33 falls below EMA 50,
👉 we sell half of the position to reduce risk.
Trend Reversal – Exit Completely (Sell the rest)
If EMA 18 also falls below EMA 33,
👉 we sell the remaining half and leave the trade fully.
Why This Strategy?
📉 We don’t jump in all at once.
→ We wait for confirmation before going full in.
⏳ We stay in the trade as long as the trend is healthy.
→ No overtrading or reacting to small moves.
📊 We get out slowly, not suddenly.
→ This helps protect profits and avoid emotional decisions.
Batman Strategy v1
1. Overview & Core Concept
The "Batman Strategy V1" is a comprehensive trend-following and pyramid-trading framework designed for multiple asset classes. Its core concept is to identify strong, established trends and systematically enter positions in stages (pyramiding) to maximize gains during sustained market movements.
This strategy is built on a proprietary scoring system that synthesizes multiple market dimensions—including stage analysis, relative strength, and volume dynamics—into clear, actionable signals. It is not a simple indicator mashup; it's a complete system with defined entry, exit, and risk management protocols.
2. Key Features
Proprietary Trend Scoring: The strategy grades market conditions from 'A' (strong bull trend) to 'Z' (strong bear trend) using a unique combination of ADX and RSI calculations, providing a nuanced view of trend maturity and strength.
Advanced Relative Strength Analysis: Automatically compares the asset's performance against a relevant market index (e.g., NIFTY for Indian stocks, NDX for US stocks, or a total crypto market cap for crypto) to ensure it is a market leader.
Heikin-Ashi Based Logic: Utilizes Heikin-Ashi candles for its core calculations to filter out market noise and provide smoother trend signals.
Multi-Tranche Pyramiding: The strategy is designed to enter a position with an initial tranche and add up to four subsequent positions if the trend continues favorably, based on a proprietary breakout logic (`ha_close > breakout`).
Dynamic & Multi-Option Exits: Offers three distinct, user-selectable trailing stop mechanisms for exits: SuperTrend, V-Stop, and Chandelier Exit. This allows traders to tailor the exit logic to their risk tolerance and the asset's volatility. The data source for these exits can also be switched between the standard chart and Heikin-Ashi candles.
Integrated Risk Management: Implements a sophisticated stop-loss system that adjusts based on the number of open trades, aiming to move to break-even after the third tranche and protecting capital.
3. How to Use This Strategy
Configuration: In the script settings, first set your desired backtesting date range. Then, configure the "Entry," "Tranching," and "Exit" parameters to suit your trading style. The most important choice is the "Exit Indicator," as this will define how the strategy closes trades.
Interpretation: When applied to a chart, the strategy will plot trend score labels ('A', 'B', 'C' for bullish; 'X', 'Y', 'Z' for bearish), color the background based on relative strength, and color the bars based on volume strength. Backtesting results, including all pyramided trades, will be visible in the "Strategy Tester" panel.
Alerts: The script includes built-in alert conditions for both bullish and bearish trend scores, which can be used to notify you of potential opportunities.
4. Backtesting & Performance
This is a strategy script, and its performance should be thoroughly evaluated in the Strategy Tester. As per TradingView rules, users should use realistic settings for initial capital, commission, and slippage. The default settings are a template; they should be adjusted to reflect the conditions of the market you are testing. Past performance is not indicative of future results.
5. Disclaimer
This strategy is a tool for market analysis and idea validation. It is not financial advice. All trading involves risk, and you should not risk more than you are prepared to lose. This is a closed-source, protected script; its internal calculations are proprietary.
Differenza Close - SMA200 con MM9 dinamicaDifferenza Close - SMA200 con MM9 dinamica
distanza tra i prezzi e la sua media di lungo periodo.
XAUUSD Confluence Pro v4.7A precision-built TradingView indicator engineered for professional gold (XAUUSD) trading.
It fuses multi-layer trend confirmation (EMA + MACD + ADX) with market-structure logic (BOS/CHOCH, Engulfing, FVG filters) to identify high-probability reversals and continuations.
Each signal automatically generates:
Smart trade metrics: dynamic ATR-based stop-loss, adaptive dual take-profits, and trailing-EMA management.
Integrated performance dashboard: real-time trade tracking in pips and dollars, complete with running totals.
Automation hooks: one-click PineConnector alert support for instant MT4/MT5 execution, including SL, TP, and lot size.
Fully customizable, session-aware, and built for automation—the XAUUSD Confluence Pro v4.7 transforms TradingView into a full-scale strategy terminal.
MJ_Doy Indicator - Premium & Ordinaire + Dashboard + Alerts (v5)Triple MA
M_jr made this based on Triple MA (moving average and 2x exponentiel moving average)
Просто и ясноThis indicator is a comprehensive trading tool that combines multiple moving averages (MA) and volume profile analysis. Here’s a brief overview of its main components:
Moving Averages System
The indicator displays several types of moving averages with customizable parameters:
Primary MA System:
Two main MAs (MA1 and MA2) with selectable types (SMA, EMA, WMA, VWMA, RMA, HMA)
Customizable lengths for both MAs
MA1 is plotted in blue, MA2 in red
Global Trend MA:
A long-term MA (green line) for trend identification
An additional multiplier line (purple) for support/resistance levels
Additional EMAs:
Multiple EMAs with different periods (from 5 to 150 periods)
Dynamic color coding (green/red) based on direction
Two key EMAs (35 and 90 periods) plotted in yellow
Volume Profile Analysis
The indicator includes a volume profile component that:
Analyzes price distribution over a specified number of bars
Displays volume-based histograms showing:
Buy volume (blue bars)
Sell volume (red bars)
Point of Control (PoC) area
Plots top and bottom range lines
Key Features
Customizable Parameters:
MA types and lengths
Volume profile settings
Visual appearance
Overlays:
All elements are plotted on the price chart
Multiple MA lines for trend analysis
Volume histograms for market depth analysis
Practical Use:
Trend identification using MA crossovers
Support/resistance levels from MA lines
Volume analysis for market sentiment
Potential reversal zones based on volume distribution
The indicator is designed for both trend following and reversal trading strategies, providing a combination of trend analysis tools and volume-based market structure insights.
Это комплексный индикатор для технического анализа, который объединяет несколько инструментов:
Скользящие средние (MA) разных типов (SMA, EMA, WMA, VWMA, RMA, HMA) с настраиваемыми периодами
Основная система из двух MA (синяя и красная линии) для определения трендов
Глобальная MA (зелёная линия) для анализа долгосрочного тренда
Дополнительные EMA с динамической раскраской (зелёный/красный)
Профиль объёма с гистограммами покупок (синие) и продаж (красные)
Индикатор помогает:
Определять тренды через пересечения MA
Находить уровни поддержки/сопротивления
Анализировать рыночный объём
Оценивать настроения участников рынка
Инструмент подходит как для внутридневной торговли, так и для долгосрочного анализа. Все элементы отображаются прямо на графике цены.
