MACD Quality Confirmation Bipolar Index V2Indicator: MACD Quality Confirmation Bipolar Index (V2)
Overview
The MACD Quality Confirmation Bipolar Index V2 is a quantitative tool designed to solve the "False Signal" problem inherent in traditional MACD oscillators. Instead of merely showing momentum direction, this indicator filters MACD signals through a multi-dimensional Quality Engine that analyzes liquidity and price action efficiency.
Why Use This?
Standard MACD often produces "noisy" crossovers during low-volume consolidation or erratic price movements. This indicator assigns a "Quality Score" (0-100) to every move, visualized as a bipolar histogram.
Key Features
Liquidity Filtering (Volume Factor): Uses a percentile-based log-volume calculation over a 1-year lookback. It ensures that signals occurring on low institutional participation are suppressed.
Efficiency Scoring (Smoothness): Measures the ratio of candle body size to the total range. High-wick "erratic" price action reduces the score, while solid, trend-driven candles increase it.
Bipolar Visualization: * Positive Bars: Bullish momentum confirmed by high quality.
Negative Bars: Bearish momentum confirmed by high quality.
Bright Colors: Indicate "Strong Zones" (Score > 60), where price action and volume are in perfect sync.
Smart Crossover Labels: * Green/Red Triangles: High-quality crossovers (Score > 40).
Gray Triangles: Low-quality "noise" crossovers.
Yellow "!" Mark: A warning for extremely weak signals (Score < 20).
How to Trade
The Power Setup: Look for a Bullish Cross (Triangle) that coincides with a bar entering the Strong Zone (above 60). This indicates a high-conviction entry.
The Noise Filter: If you see a MACD crossover but the histogram remains in the "Active Zone" (below 40) or triggers a "!", exercise caution; the market may be ranging.
Trend Strength: Watch for increasing bar heights. If price moves higher but the Quality Score declines, it suggests a "hollow" trend prone to reversal.
מתנדי רוחב
LCCM & C7Lục Chỉ Cầm Ma (LCCM)
This indicator replicates the Lục Chỉ Cầm Ma (LCCM) trading method developed by Khac Quy .
Lục Chỉ Cầm Ma (LCCM) is a rule-based breakout and trend-following trading method, originally designed for Gold (XAUUSD) and optimized for M15 and M30 timeframes.
The method focuses on key support and resistance levels (barriers), candle strength analysis, and MA20 for trade management.
🔹 Core Trading Logic
Buy Signal:
A buy setup is considered when a candle closes above a resistance barrier, indicating a valid breakout.
Sell Signal:
A sell setup is considered when a candle closes below a support barrier, indicating a downside breakout.
🔹 C7 Candle Pattern
🔸 C7CB (Basic 3-Candle Pattern)
C7CB consists of three consecutive candles with decreasing body size.
The body of candle 1 is larger than candle 2, and candle 2 is larger than candle 3.
This pattern indicates that trend momentum is weakening and buyers/sellers are losing control.
Usage:
Exit or partially close positions.
Alternatively, move stop loss to breakeven to protect profits.
🔸 C7CC (Extended 5-Candle Pattern)
C7CC is a five-candle consolidation pattern, consisting of:
One mother candle (largest range),
Followed by four inside candles with smaller ranges.
The final candle that breaks out of this structure is used to confirm trend continuation or reversal, depending on direction.
Usage:
If a strong reversal candle appears after C7CC, close existing positions.
If breakout aligns with the trend, traders may continue holding or add positions cautiously.
You can refer to other C7 patterns in the LCCM documentation by the author Khac Quy.
Euro RS TrackerRelative Strength of European ETFs by Sectors, compared to each other. Timeframes from daily to yearly.
This script was copied from Amphibiantrader.
I am not a coder, so props to him. Just neeed a practical trend identifier for my favorite market.
Make Europe Great Again folks.
Correlation Stability3 CORRELATION STABILITY INDICATOR
This indicator is shown as a table on the main chart.
WHAT IT DOES
It evaluates how stable the statistical relationship between two assets is over time using correlation analysis.
HOW IT WORKS
• Correlation between two assets is calculated over rolling windows
• The test is performed periodically
• Each window is marked as pass or fail depending on correlation strength
• If more than half of the tested windows pass, the pair is considered stable
The result is displayed as a simple table showing the current status of the pair.
HOW TO USE
This indicator is a filter, not a trading signal.
It helps the trader:
• Select suitable pairs for statistical arbitrage
• Avoid trading pairs where the relationship has broken down
• Improve the quality of mean-reversion signals
RECOMMENDED TO USE WITH
• Ornstein–Uhlenbeck Z-score for signal generation
• OU Signals Overlay for trade visualization
TRIGONUM STATISTICAL ARBITRAGE INDICATORS
This is a series of indicators developed by Trigonum for statistical arbitrage and pairs trading.
The core idea of the series is to trade the relationship between two assets, not the direction of a single market.
All signals are based on mean reversion of a spread between two instruments and are intended to be used with hedged positions (long one asset and short the other).
The series consists of three indicators, each serving a different purpose.
Early Pullback Screener ColumnContinuation of Deep Pull Back indicator - this give a custom column screen of early potential continuation pullbacks
Deep Early Pullback ScannerIdentifies high-probability early entry setups in trending stocks. It high lights small-bodied red pullback candles within an uptrend, signaling potential continuation moves before conventional UT Bot buy signal triggers
Brandy Rivasthis pine script, named is a high-precision trading tool designed for momentum and trend follow-through. it features a dynamic trend-following line that appears only during high-strength moves, real-time visual alerts with background highlights, and an advanced dashboard monitoring adx and hidden technical indicators to filter out noise and capture sharp entries.
Quantum Mean Reversion Oscillator[Pineify]Quantum Mean Reversion Oscillator - Statistical Z-Score Based Trading Signals
The Quantum Mean Reversion Oscillator (QMR) is a statistically-driven momentum indicator designed to identify high-probability mean reversion opportunities in any market. Built on the foundation of Z-score analysis, this oscillator measures how far price has deviated from its statistical mean, expressed in standard deviations. When price stretches too far from equilibrium, it tends to snap back—this indicator captures those precise moments.
Key Features
Z-Score based oscillator measuring price deviation from dynamic mean
Adaptive EMA-based mean calculation for responsive trend detection
Customizable standard deviation multiplier for volatility adjustment
Built-in smoothing to filter market noise and reduce false signals
Visual gradient glow effect showing momentum intensity
Clear overbought/oversold threshold levels at +2.0 and -2.0
Automatic buy and sell signal generation on mean reversion events
Pre-configured alert conditions for automated trading workflows
How It Works
The indicator employs a three-step calculation process rooted in statistical analysis:
Dynamic Mean Calculation: Rather than using a simple moving average, the oscillator uses an Exponential Moving Average (EMA) as the basis. This makes the mean more responsive to recent price action while still maintaining statistical validity.
Z-Score Computation: The core of this indicator is the Z-score formula: (Price - Mean) / Standard Deviation. This transforms raw price data into a normalized scale where values represent how many standard deviations price has moved from its mean. A reading of +2.0 means price is two standard deviations above average—a statistically significant extreme.
Noise Reduction: The raw Z-score is smoothed using a Simple Moving Average to eliminate whipsaws and provide cleaner, more actionable signals.
Trading Ideas and Insights
Mean reversion is one of the most fundamental concepts in quantitative trading. Markets tend to oscillate around fair value, and extreme deviations often precede reversals. The QMR Oscillator quantifies this behavior:
When the oscillator exceeds +2.0, price is statistically overbought—approximately 95% of price action occurs below this level under normal distribution
When the oscillator drops below -2.0, price is statistically oversold—a zone where buying pressure typically emerges
The crossback signals (crossing back inside from extremes) indicate the reversion has begun, providing entry timing
This approach works particularly well in ranging markets and can identify exhaustion points in trending markets where pullbacks are likely.
How Multiple Indicators Work Together
The QMR Oscillator integrates three complementary statistical concepts into a unified framework:
EMA for Mean: Provides a responsive baseline that adapts to changing market conditions faster than traditional SMA, ensuring the "fair value" reference point stays relevant.
Standard Deviation for Volatility: Automatically adjusts the oscillator's sensitivity based on current market volatility. During high volatility, larger price moves are required to reach extreme readings, preventing false signals.
SMA Smoothing: Applied as a final filter to remove noise without introducing significant lag, balancing responsiveness with reliability.
These three components work synergistically—the EMA tracks the trend, standard deviation normalizes for volatility, and smoothing ensures signal quality.
Unique Aspects
Statistical Foundation: Unlike arbitrary oscillator boundaries, the +/-2.0 levels have statistical meaning—representing approximately 2 standard deviations from the mean
Visual Gradient System: The glow effect intensifies as price moves further from equilibrium, providing intuitive visual feedback on momentum strength
Adaptive Sensitivity: The deviation multiplier allows traders to adjust how extreme price must move before triggering signals, accommodating different trading styles and market conditions
How to Use
Add the indicator to your chart and observe the oscillator's position relative to the zero line and threshold levels
Look for buy signals (B markers) when the oscillator crosses back above -2.0 from oversold territory
Look for sell signals (S markers) when the oscillator crosses back below +2.0 from overbought territory
Use the gradient glow intensity to gauge momentum strength—brighter colors indicate more extreme conditions
Set up alerts using the built-in alert conditions for automated notifications
Customization
Mean Lookback (default: 20): Controls the EMA period for mean calculation. Shorter periods increase sensitivity; longer periods provide smoother readings
Deviation Multiplier (default: 2.0): Adjusts how many standard deviations define the bands. Higher values require more extreme moves for signals
Smoothing (default: 3): Controls noise filtering. Increase for smoother signals in choppy markets
Bullish/Bearish Glow Colors: Customize the visual appearance to match your chart theme
Show Reversion Signals: Toggle buy/sell markers on or off
Conclusion
The Quantum Mean Reversion Oscillator provides traders with a statistically rigorous tool for identifying mean reversion opportunities. By combining Z-score analysis with adaptive volatility measurement and intelligent smoothing, it offers a systematic approach to finding high-probability reversal points. Whether used as a standalone indicator or as confirmation for other analysis methods, the QMR Oscillator brings quantitative precision to mean reversion trading strategies.
Session Liquidity Trading PlanAmateurs trade on emotion. Professionals trade with a plan.
The Session Liquidity Trading Plan is a professional pre-trade checklist designed to help traders approach the market with structure, discipline, and consistency.
This tool acts as a decision-support panel, allowing you to manually confirm key liquidity-based conditions before executing a trade. Each confirmed condition contributes to a weighted trade score, giving you an instant view of setup quality.
Instead of chasing the market, this panel encourages patience and rule-based execution — two traits consistently found among profitable traders.
🔑 Key Features
• Clean top-right trading panel
• Manual confirmation checklist for maximum flexibility
• Weighted Trade Score (0–100) for setup grading
• Built for liquidity-based and session-focused traders
• Promotes disciplined, high-quality trade selection
• Works across all instruments and timeframes
📊 Checklist Includes:
✔ Asia High/Low Sweep
✔ 5/15 Minute Market Shift
✔ OTE Retracement
✔ Targeting Buy/Sell Side Liquidity
When all conditions align, traders gain confidence in the strength of their setup.
Multi-Metric Valuation IndicatorMulti-Metric Valuation Indicator - Accumulation/Distribution Signal
This indicator combines six proven technical metrics into a single composite valuation score to help identify optimal accumulation and distribution zones for any asset. Built with the Mayer Multiple as its foundation, it provides a comprehensive view of whether an asset is overvalued or undervalued.
Core Components:
Mayer Multiple - Compares current price to 200-day moving average (traditional Bitcoin valuation metric)
RSI (Relative Strength Index) - Identifies overbought/oversold momentum conditions
Bollinger Band Position - Measures price location within volatility bands
50-Day MA Deviation - Tracks short-term trend strength
Rate of Change (ROC) - Captures momentum shifts
Volume Analysis - Confirms price moves with relative volume strength
How It Works:
Each metric is scored from -1 (extremely undervalued) to +1 (extremely overvalued) using granular thresholds. These scores are averaged into a composite valuation score that oscillates around zero:
< -0.4: Strong Accumulation Zone (dark green background)
-0.4 to -0.2: Accumulation Zone (light green background)
-0.2 to +0.2: Neutral Zone (gray background)
+0.2 to +0.4: Distribution Zone (light red background)
> +0.4: Strong Distribution Zone (dark red background)
Key Features:
Real-time scoring table displays all component values and their individual scores
Color-coded composite line (green = undervalued, red = overvalued)
Background shading for instant visual signal recognition
Built-in alerts for strong accumulation/distribution crossovers
Fully customizable inputs for all parameters
Clean, efficient code using ternary operators and one-line declarations
Best Use Cases:
Long-term position accumulation strategies
Identifying macro market tops and bottoms
Dollar-cost averaging entry/exit planning
Multi-timeframe confirmation (works on daily, weekly, monthly charts)
Risk management and position sizing decisions
Interpretation:
When the composite score drops below -0.4, multiple metrics simultaneously indicate undervaluation - a historically favorable accumulation opportunity. Conversely, scores above +0.4 suggest distribution may be prudent as multiple indicators flash overbought signals.
The indicator is most powerful when combined with fundamental analysis and proper risk management. It's designed to keep emotions in check during extreme market conditions.
KAPISH Weekly Open + Trailing SLThis script is a highly precise, rule-based breakout strategy designed to trade the Weekly Open price level. It is built for a "Jane Street" style of disciplined execution, meaning it prioritizes confirmation over speed to avoid market noise and "fakeouts."Here is the structural breakdown of how the script functions:1. The Core Anchor: Weekly OpenThe strategy uses the Weekly Open as its "Fair Value" line.It assumes that if price holds above the Weekly Open, the weekly trend is bullish.If price holds below, the trend is bearish.It applies your 0.01 buffer to ensure the breakout is meaningful and not just a "touch" of the level.2. The Precision Filter: 2-Candle DelayThis is the most critical part of the logic. Most retail traders enter the moment a level is crossed. This script does the opposite:Step 1: Price crosses the Weekly Open $\pm$ 0.01. (Marked by a tiny gray circle).Step 2: The script waits for two full candles to close.Step 3: On the third candle, it checks: "Is price still above/below the Weekly Open?"Result: If yes, it fires the BUY/SELL 2QTY signal. This filters out "stop-hunts" where price spikes and immediately reverses.3. Professional Trade Management (The "Split-Exit")Instead of exiting the whole trade at once, the script manages 2 Units (QTY) differently:Target 1 (TP1): A fixed "offload" point. This is designed to capture quick profit and reduce the risk of the trade.Target 2 (TP2) + Trailing SL: The second unit is the "runner."It aims for a larger target.It utilizes a Trailing Stop Loss that "climbs" behind the price. If price moves 30 points in your favor, the stop loss moves up 30 points automatically.
Session MidpointsGives you session time boxes and their midpoints.
Gives you session time boxes and their midpoints.
Gives you session time boxes and their midpoints.
Gives you session time boxes and their midpoints.
Gives you session time boxes and their midpoints.
MarketStructureLab - Swing Reversion Zones (FREE)Swing Reversion Zones is an indicator designed to analyze price reversions to market structure after impulsive moves.
The indicator builds a smoothed structural baseline and a dynamic deviation range, highlighting areas where price statistically tends to slow down, react, or retrace.
What it shows
• Zones of potential overbought and oversold conditions
• Areas where price reverts back to structure
• Context for pullback-based entries rather than entries in the middle of a move
How to use
• Trading swing movements within an existing trend
• Identifying price reactions near the range boundaries
• Confirming long and short setups in combination with market structure
Features
• Adaptive smoothing without reliance on static levels
• Works across all markets and timeframes
Important
This indicator is not a signal system and does not make predictions.
It highlights reaction and reversion zones relative to market structure. Trade decisions remain the trader’s responsibility.
Designed for traders who focus on structure, context, and market reaction.
Shadow Mode Simulator ELITE🎮 SHADOW MODE SIMULATOR — FEATURE GUIDE
Think of this as GTA with rules instead of random driving.
🏆 1. A / A+ SETUP GRADING (QUALITY CONTROL)
Every entry is graded automatically:
✅ A+ Setup (best XP)
Must have:
• HTF trend aligned
• Liquidity sweep OR perfect pullback
• High confidence (4–5)
✅ A Setup (acceptable)
Must have:
• HTF trend aligned
• ONE valid strategy condition
⚠️ B Setup (allowed but low reward)
Everything else
❌ Invalid
Bad RR or no strategy → XP penalty
👉 This trains selectivity (most traders fail here)
🗺️ 2. AUTO SESSION HEATMAP
Background turns green during your trading session.
This teaches:
✔ When liquidity is real
✔ When NOT to trade
No more random midnight scalping.
😵 3. TILT DETECTOR
Triggers when:
• 2 losses in a row
• Or cooldown active
Shows:
⚠️ TILT WARNING
This is your psychology guardian.
(Pros stop trading here. Retail blows accounts here.)
🧠 4. STRATEGY-SPECIFIC VALIDATORS
You can toggle:
✅ Liquidity sweep trades
✅ Trend pullback trades
If you enter without one → ❌ punished.
This builds:
➡️ mechanical discipline
➡️ no random clicking
⏳ 5. EMOTIONAL COOLDOWN SYSTEM
After a loss:
• You are “locked” for X candles
• No rushing back in
This rewires revenge trading.
📊 6. LIVE PERFORMANCE ENGINE
Tracks:
• XP
• Level
• Win rate
• Win/loss streak
• Trade count
• Tilt state
• HTF bias
• Setup grade
You level up by:
👉 discipline — not profit
📈 LEVEL MEANING (IMPORTANT)
Level Skill State
1–2 Impulsive
3–4 Learning patience
5–6 Controlled
7–8 Consistent
9+ Pro-ready
You should NOT trade real money seriously before level 7.
🧪 FULL LIVE TUTORIAL — HOW TO USE IT
STEP 1 — SETUP
Open TradingView
Open chart you scalp (NIFTY/BTC/etc)
Add the Shadow Mode indicator
Set:
• Session time
• HTF timeframe
• Max trades
STEP 2 — MARKET OPENS
Your job first 10–15 mins:
❌ Do nothing
👀 Just watch structure
(This alone fixes overtrading)
STEP 3 — WHEN YOU SEE A SETUP
Ask:
✔ HTF aligned?
✔ Liquidity sweep or pullback?
✔ RR good?
If yes:
👉 Click 📥 ENTRY
You’ll see:
• Grade (A / A+)
• Entry marker
STEP 4 — MANAGE LIKE A ROBOT
Do NOT interfere.
Let:
• TP
• SL
• or invalidation happen
STEP 5 — EXIT
Click:
📤 EXIT when trade is done
System:
• Awards XP
• Updates streaks
• Tracks win rate
STEP 6 — IF YOU MESSED UP
Click:
❌ RULE BREAK
(Takes XP + activates cooldown)
This hurts — on purpose.
📆 PERFECT TRAINING DAY LOOKS LIKE:
✅ 1–2 A/A+ trades
✅ maybe 1 loss
✅ stop after cooldown
✅ XP positive
Even if P&L is flat.
That’s winning.
🚫 COMMON MISTAKES (DON’T DO THESE)
❌ Clicking entry emotionally
❌ Ignoring HTF bias
❌ Overtrading
❌ Chasing candles
❌ Skipping cooldown
The simulator is designed to punish these.
🧠 WHY THIS WORKS (SCIENCE SIDE)
This trains:
• Pattern recognition
• impulse control
• delayed gratification
• process over money
Same principles used in pilot & athlete simulators.
🎯 OPTIONAL HARD MODE (WHEN READY)
• Max 1 trade/day
• Only A+ setups
• Higher RR minimum
This accelerates mastery.
Intervalo de la confianza T.JODEN V2This tool is completely free to use.
En español mas abajo para leer.
"Bitcoin Tower Trading Learning BTTL". This is my YouTube channel.
This confidence interval is calculated using VWMA-10 instead of the standard confidence interval, which in statistics uses the moving average (SMA).
Using VWMA places more emphasis on its movement in relation to volume.
There are several timeframes for the confidence interval, and users don't have to pay extra for the number of indicators.
The 10-period confidence interval is most effective on 1-hour and 4-hour timeframes for Bitcoin. However, it is always recommended to use ADX and its Di+/D- for greater entry confidence. This is not investment or trading advice. Try it out, and if you find it effective, enjoy it.
Stay tuned to YouTube, where I'll let you know when a new project will be released to the public, because I'm still studying Pinscript and developing new projects.
Este trabajo es totalmente gratis su uso.
"Bitcoin Tower Trading Learning BTTL". Este es mi canal en YOUTUBE.
Este Intervalo de la confianza es calculado con VWMA-10 en ves del normal Intervalo de la confianza que en estadistica se usa la MEDIA MOVIL en ingles sma.
Usando VWMA se le pone mas infacis a su movimiento con su volumen.
Hay varias temporalidades del Intervalo de la confianza cual los usiarios no tienen que pagan un dinero extra por cantidad de indicadores.
EL intervalo de la confianza temporalidad de 10 es mas efectivo en temporalidad de 1 hora y 4 horas en BITCOIN. Pero se recomiendo siempre usar ADX y su Di+ D- para tener mas seguridad en entrada.
En ningun momento es consejo de inversion ni de trading. Pruevelo y si mira que es efectivo para su uso disfrutelo.
Mantengase en sintonia en YOUTUBE que alli le dire cuando un nuevo trabajo sera puesto en publico uso, porque sigo estudiando pinescript y elavorando nuevos trabajos.
Meridian v2A comprehensive multi-timeframe trading system that combines statistical volatility levels, dynamic price ranges, momentum-based signals, and precision entry/exit zones.
Key Features:
StdDev Levels: Displays standard deviation bands from higher timeframes (4H, 1H default) to identify key support/resistance zones based on price volatility
Trading Ranges: Automatically plots dynamic support/resistance ranges using ATR calculations with adaptive zone fills
ZScore Momentum: Colors candles based on normalized price momentum relative to moving average, highlighting bullish/bearish conditions
60 Tick Lines: Draws horizontal lines at precise tick distances above/below current price for scalping entries
EMA System: Dual EMA crossover signals with optional volume confirmation and visual ribbon display
Trade Signals: Diamond markers for range breakout entries, triangle markers for EMA crossovers
Perfect for multi-timeframe analysis combining volatility structure, momentum, and precise price levels for confluence-based trading decisions.
Trend Momentum v6Features
- Trend EMAs: plots Fast EMA and Slow EMA to visualize direction and strength.
- RSI Filter (optional): gates signals by RSI thresholds to reduce whipsaws.
- Multi-Timeframe (MTF): computes EMAs/RSI on a selected timeframe via request.security.
- Signals: triangle markers for Long/Short when fast EMA crosses slow EMA with optional RSI gating.
- Bar Coloring: green for up-trend, red for down-trend, neutral otherwise.
- Alerts: built-in alertcondition for Long Signal and Short Signal.
Inputs
- Signal timeframe: timeframe for EMAs/RSI; empty uses chart timeframe.
- Fast/Slow EMA length: trend speed vs smoothness (21/50 default).
- RSI length and thresholds: default RSI(14), thresholds at 50 for symmetry.
- Confirm signals on bar close: requires bar close confirmation to avoid intrabar flips.
- Show signal markers: enable/disable triangles.
- Color bars by trend: enable/disable bar coloring.
Signals
- Long: Fast EMA crosses above Slow EMA, optionally with RSI >= bull threshold.
- Short: Fast EMA crosses below Slow EMA, optionally with RSI <= bear threshold.
- Trend coloring: independent of cross signals; reflects current EMA relation plus optional RSI gating.
Tutorial
- Add to chart:
- Open TradingView → Pine Editor → paste the script → Save → Add to chart.
- Configure:
- Leave Signal timeframe empty for chart timeframe or choose higher TF (e.g., 1h while viewing 5m).
- Start with Fast EMA=21, Slow EMA=50; adjust for your market’s volatility.
- Keep RSI filter on with thresholds at 50 for balanced gating.
- Enable “Confirm signals on bar close” for stable, non-repainting entries.
- Interpret:
- Long triangle appears after a bullish EMA cross that meets RSI criteria (if enabled).
- Bars turn green when trendUp; red when trendDown; neutral when neither condition holds.
- Alerts:
- Add the indicator → Create Alert → Source: this indicator → Condition: Long Signal or Short Signal.
- Configure frequency (Once per bar close recommended when confirm is enabled).
- MTF guidance:
- For intraday, set Signal timeframe to a higher TF (15m–1h) to align entries with dominant trend.
- Using lookahead=barmerge.lookahead_off prevents future-data repainting; signals appear only when confirmed.
Customization
- Faster entries: lower Fast EMA (e.g., 13) or raise RSI bull threshold above 50 for stronger momentum.
- Smoother trend: raise Slow EMA (e.g., 100) to reduce choppiness.
- Stricter shorts: set RSI bear threshold below 50 (e.g., 45 or 40).
- Intrabar signals: disable “Confirm signals on bar close” to see crosses mid-bar (more responsive, more noise).
- Fixed indicator timeframe: if you want chart to render with gaps per fixed TF, set timeframe on indicator itself (e.g., timeframe="60") and optionally enable timeframe_gaps.
Best Practices
- Use with structure: apply on liquid instruments; combine with session/volatility filters if needed.
- Risk management: consider ATR-based stops and position sizing; signals are entries, not guarantees.
- Avoid overfitting: keep lengths and thresholds simple; validate across symbols and regimes.
Limitations
- Cross-based entries can lag at reversals and whipsaw in ranges; RSI gating helps but doesn’t eliminate noise.
- MTF aggregation can delay signals compared to the chart’s timeframe; this is expected behavior.
Liquidity Sweep Strategy (RR 1:2)This free indicator from its strategic department has a 60% profit target of 2% and a loss target of 1%.
SPX highlight Risk IndicatorIndicator shows orange bars in instances where:
VIX > 21dma
Spreads > 21dma
% S&P stocks above 50dma < 21dma
Indicator shows red bars in instances where:
VIX > 50dma
Spreads > 50dma
% S&P stocks above 50dma < 50dma
Dynamic Support & Resistance V6The Dynamic Support & Resistance V6 is a lightweight, high-performance indicator designed to automatically identify and plot key market levels based on pivot price action. Instead of static lines, this script uses a dynamic array-based system. It tracks the most recent significant levels where price is likely to react.
The script utilizes the ta.pivothigh and ta.pivotlow functions to detect structural turning points. Once a pivot is confirmed (based on your chosen lookback period).
Draws an Extended Level: A line is projected from the pivot point to the current bar.
Dynamic Management: It uses a FIFO (First-In-First-Out) logic to ensure only the most relevant maxLevels are displayed on your chart, keeping your workspace clean.
Real-time Updates: Lines and labels automatically shift with each new bar to maintain a constant "right-edge" perspective.
Key Features
Customizable Pivot Lookback: Adjust the sensitivity to find minor intraday levels or major swing levels.
Visual Price Labels: Optional price tags for quick reference on key zones.
Support/Resistance Differentiation: Color-coded levels (defaulting to Green for Support and Red for Resistance).
Optimized for Version 6: Built using the latest Pine Script™ v6 standards for better performance.
How to Use
Look for candles closing beyond the Resistance (Red) or Support (Green) lines.
Use these levels as potential zones for "fakeouts" or rejections in confluence with your other entry triggers.
Excellent for identifying logical Take Profit (TP) or Stop Loss (SL) zones based on recent market structure.
MACD RSI EMA AGGRESSIVE + ATR SLTPThis indicator is designed for aggressive scalping and intraday trading, especially on crypto futures.
It combines:
- MACD crossover for momentum direction
- RSI filter to avoid weak signals
- EMA trend filter to follow market bias
- Volume confirmation to reduce false signals
- ATR-based SL/TP visualization for risk management
The script provides clear BUY and SELL alerts that can be used across multiple symbols and timeframes.
Best used on lower timeframes (1m–5m) with proper risk management.
ETH Swing Planner (Thrust + Chop + BTC Confirm) v3.1 by Sam KimThis is a swing-trading framework designed to keep you out of bad trades, not push you into more of them.
It only activates when the higher-timeframe trend is clear, volatility supports continuation, and the market has actually finished correcting. No buying pullbacks. No forcing entries in chop.
The logic is simple:
• Trade in the direction of the dominant daily trend
• Wait for consolidation, then enter on momentum resumption (“thrust”)
• Avoid choppy, range-bound conditions
• Require Bitcoin confirmation before swinging ETH
• Define risk, stop, and targets before the trade exists
Cash is treated as a position. No-trade conditions are explicit, not emotional.
This tool is built for traders who value patience, structure, and capital preservation over constant action. It favors fewer trades, cleaner entries, and psychological clarity.
Missing a move is acceptable. Being trapped in a bad one is not.
Usanghyang philosophy, coded.
