Volatilidad Multi-TF📊 Multi-Timeframe Volatility (ATR%)
Description
Indicator that displays the current asset's volatility across multiple timeframes simultaneously. It uses the ATR (Average True Range) normalized as a percentage of price, allowing for objective volatility comparison across different timeframes.
✨ Key Features
- Multi-Timeframe Analysis: Visualize volatility across 5 different timeframes (1H, 4H, D, W, M)
- Normalized Volatility: ATR expressed as a percentage of price for accurate comparison
- Compact Table: Clean and easy-to-read interface in the corner of your chart
- Auto-Update: Automatically adapts to the asset you're viewing
- No Additional Plots: Only displays essential information in table format
🎯 How to Use
1. Add the indicator to your chart
2. The table will automatically display the current asset's volatility
3. Percentage values allow you to quickly identify:
- Which timeframe has higher/lower volatility
- Divergences between timeframes
- High or low volatility zones to adjust your strategies
⚙️ Configurable Parameters
- ATR Period: Default 14, adjust according to your strategy
📈 Practical Applications
- Risk Management: Adjust position sizing based on current volatility
- Asset Selection: Identify assets with suitable volatility for your profile
- Entry Timing: Detect volatility expansions/contractions
- Timeframe Analysis: Compare volatility across different time periods
💡 Technical Notes
- Normalized ATR allows volatility comparison between assets with different prices
- Useful for both intraday trading (1H, 4H) and swing/positional trading (D, W, M)
- Compatible with any market: cryptocurrencies, forex, stocks, indices
⚠️ Disclaimer
This indicator is a technical analysis tool. It does not constitute financial advice. Conduct your own analysis and risk management before trading.
Indicadores e estratégias
🏆 GoldTradePro AutoCycle v5.0To trigger my alerts, this script is brilliant, a sensational indicator. Ask me for more if you're interested.
KARAKAS
Strategy Philosophy and Objective
This strategy is a high-probability Mean Reversion system. It is based on the principle that markets behave like a stretched rubber band: when the price moves too far away from its average value (the band is stretched), it has a high tendency to eventually snap back towards its mean.
The objective of this strategy is to identify these moments of "extreme extension" and to capture the highest probability move as the price reverts to its average. Rather than acting hastily, it employs a multi-layered confirmation system to trade only on the highest quality signals.
Strategy Profile
Strategy Name: Final Optimized Strategy
Type: Mean Reversion
Recommended Timeframe: Developed on M15 (15-Minute).
Suitable Markets: High-volume, volatile assets. Ideal for Indices (US100, S&P500), Major Forex Pairs (EUR/USD, GBP/USD), and Commodities (Gold).
Core Tools:
Bollinger Bands: Period: 20, Standard Deviation: 2.2
RSI (Relative Strength Index): Period: 14, Overbought/Oversold Levels: 75 / 25
TwistedHWAY Oracle - Intelligent Level Detection System═════════════════════════════════════════════════════════════════════════
🎯 TwistedHWAY Oracle™ - Intelligent Level Detection System
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OVERVIEW
TwistedHWAY Oracle™ combines six independent calculation engines to identify high-probability support and resistance levels. The indicator uses adaptive market regime detection and confluence analysis to automatically rank levels by confidence score, helping traders identify key reaction zones where price is likely to find support or resistance.
KEY FEATURES
The indicator provides comprehensive level detection through:
Six Detection Engines — Each engine operates independently with its own alert system
Confluence Analysis — Automatically awards bonus confidence when multiple engines identify the same level
Adaptive Intelligence — Market volatility detection adjusts parameters in real-time
Confidence Scoring — Every level is ranked and displayed with a numerical confidence score
Individual Alerts — Separate alert controls for each detection method
DETECTION ENGINES
1 — Pivot Points Engine
Calculates daily pivot levels including PP, R1-R3, and S1-S3 using previous day's high, low, and close.
2 — Swing Detector
Identifies significant swing highs and lows using prominence filtering to eliminate noise.
3 — Psychological Matrix
Detects round number levels at three configurable increments (default: 10, 25, 50).
4 — Fibonacci Engine
Calculates retracement levels (23.6%, 38.2%, 50%, 61.8%, 78.6%) from major swings.
5 — VWAP System
Generates volume-weighted average price levels at three different periods.
6 — Confluence Analyzer
Awards bonus confidence points when multiple engines identify the same level.
HOW TO USE
Reading the Levels
Levels above current price = Resistance (red by default)
Levels below current price = Support (green by default)
Numbers in brackets show confidence score
Higher confidence = stronger level
Levels with score > 2.0 indicate extreme confluences
Trading Strategies
Bounce Trading — Enter positions when price approaches high-confidence levels expecting reversal
Breakout Trading — Trade breakouts through levels, using broken level as stop-loss
Confluence Zones — Focus on areas where multiple engines agree
SETTINGS GUIDE
Oracle Settings
Validation Mode — Conservative parameters for more reliable signals
Max Levels — Number of levels to display (10-50)
Level Extension — Line extension direction (None/Left/Right/Both)
Individual Engine Controls
Each engine can be toggled on/off with separate alert controls:
Pivot Engine (daily pivots)
Swing Detector (historical swings)
Psychological Matrix (round numbers)
Fibonacci Engine (retracements)
VWAP System (volume-weighted levels)
Visual Settings
Individual color selection for each level type
Label display toggle with size options
Line style preferences (Solid/Dashed/Dotted)
Alert Configuration
Alert Distance % — Proximity threshold (default: 0.5%)
Alert Cooldown — Minimum bars between alerts (default: 60)
Individual alert toggles for each engine
ADAPTIVE PARAMETERS
The indicator automatically adjusts to market conditions:
High Volatility Mode — Wider swing detection, stricter prominence filters
Normal Mode — Balanced parameters for typical market conditions
Validation Mode — Most conservative settings for reliable signals
Market regime is detected using 100-period volatility measurement with automatic threshold adjustment.
ALERTS
Five alert types plus special confluence alerts:
🎯 Pivot Alerts — Daily pivot level approaches
🌊 Swing Alerts — Historical swing level tests
🧠 Psychological Alerts — Round number approaches
🌀 Fibonacci Alerts — Retracement level tests
📉 VWAP Alerts — Volume-weighted level approaches
⚡ Critical Alerts — Ultra-high confidence levels (score ≥ 2.0)
Alerts include price level, confidence score, and source information.
BEST PRACTICES
Timeframe Selection
Works on all timeframes (optimized for 5min to Daily)
Higher timeframes = more reliable levels
Use multi-timeframe analysis for confirmation
Optimization by Instrument
Forex:
Psychological increments: 0.0010, 0.0050, 0.0100
Stocks (Low-priced):
Psychological increments: 1, 5, 10
Stocks (High-priced):
Psychological increments: 10, 25, 50
Crypto:
Adjust based on price range and volatility
LIMITATIONS
Calculation intensive on last bar (may cause slight delays)
Maximum 50 levels can be displayed simultaneously
Swing detection requires minimum 25 bars of history
VWAP calculations use price range as volume proxy when volume unavailable
NOTES
Levels are recalculated on each bar close
Confidence scores update dynamically with market conditions
Colors automatically adjust based on price position
All settings are saved with chart layout
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Version: 3.0 | Build 2025.10
License: GNU GPL v3.0
© 2025 TwistedHWAY
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Anchored VWAP Polyline [CHE] Anchored VWAP Polyline — Anchored VWAP drawn as a polyline from a user-defined bar count with last-bar updates and optional labels
Summary
This indicator renders an anchored Volume-Weighted Average Price as a continuous polyline starting from a user-selected anchor point a specified number of bars back. It accumulates price multiplied by volume only from the anchor forward and resets cleanly when the anchor moves. Drawing is object-based (polyline and labels) and updated on the most recent bar only, which reduces flicker and avoids excessive redraws. Optional labels mark the anchor and, conditionally, a delta label when the current close is below the historical close at the anchor offset.
Motivation: Why this design?
Anchored VWAP is often used to track fair value after a specific event such as a swing, breakout, or session start. Traditional plot-based lines can repaint during live updates or incur overhead when frequently redrawn. This implementation focuses on explicit state management, last-bar rendering, and object recycling so the line stays stable while remaining responsive when the anchor changes. The design emphasizes deterministic updates and simple session gating from the anchor.
What’s different vs. standard approaches?
Baseline: Classic VWAP lines plotted from session open or full history.
Architecture differences:
Anchor defined by a fixed bar offset rather than session or day boundaries.
Object-centric drawing via `polyline` with an array of `chart.point` objects.
Last-bar update pattern with deletion and replacement of the polyline to apply all points cleanly.
Conditional labels: an anchor marker and an optional delta label only when the current close is below the historical close at the offset.
Practical effect: You get a visually continuous anchored VWAP that resets when the anchor shifts and remains clean on chart refreshes. The labels act as lightweight diagnostics without clutter.
How it works (technical)
The anchor index is computed as the latest bar index minus the user-defined bar count.
A session flag turns true from the anchor forward; prior bars are excluded.
Two persistent accumulators track the running sum of price multiplied by volume and the running sum of volume; they reset when the session flag turns from false to true.
The anchored VWAP is the running sum divided by the running volume whenever both are valid and the volume is not zero.
Points are appended to an array only when the anchored VWAP is valid. On the most recent bar, any existing polyline is deleted and replaced with a new one built from the point array.
Labels are refreshed on the most recent bar:
A yellow warning label appears when there are not enough bars to compute the reference values.
The anchor label marks the anchor bar.
The delta label appears only when the current close is below the close at the anchor offset; otherwise it is suppressed.
No higher-timeframe requests are used; repaint is limited to normal live-bar behavior.
Parameter Guide
Bars back — Sets the anchor offset in bars; default two hundred thirty-three; minimum one. Larger values extend the anchored period and increase stability but respond more slowly to regime changes.
Labels — Toggles all labels; default enabled. Disable to keep the chart clean when using multiple instances.
Reading & Interpretation
The polyline represents the anchored VWAP from the chosen anchor to the current bar. Price above the line suggests strength relative to the anchored baseline; price below suggests weakness.
The anchor label shows where the accumulation starts.
The delta label appears only when today’s close is below the historical close at the offset; it provides a quick context for negative drift relative to that reference.
A yellow message at the current bar indicates the chart does not have enough history to compute the reference comparison yet.
Practical Workflows & Combinations
Trend following: Anchor after a breakout bar or a swing confirmation. Use the anchored VWAP as dynamic support or resistance; look for clean retests and holds for continuation.
Mean reversion: Anchor at a local extreme and watch for approaches back toward the line; require structure confirmation to avoid early entries.
Session or event studies: Re-set the anchor around earnings, macro releases, or session opens by adjusting the bar offset.
Combinations: Pair with structure tools such as swing highs and lows, or with volatility measures to filter chop. The labels can be disabled when combining multiple instances to maintain chart clarity.
Behavior, Constraints & Performance
Repaint and confirmation: The line is updated on the most recent bar only; historical values do not rely on future bars. Normal live-bar movement applies until the bar closes.
No higher timeframe: There is no `security` call; repaint paths related to higher-timeframe lookahead do not apply here.
Resources: Uses one polyline object that is rebuilt on the most recent bar, plus two labels when conditions are met. `max_bars_back` is two thousand. Arrays store points from the anchor forward; extremely long anchors or very long charts increase memory usage.
Known limits: With very thin volume, the VWAP can be unavailable for some bars. Very large anchors reduce responsiveness. Labels use ATR for vertical placement; extreme gaps can place them close to extremes.
Sensible Defaults & Quick Tuning
Starting point: Bars back two hundred thirty-three with Labels enabled works well on many assets and timeframes.
Too noisy around the line: Increase Bars back to extend the accumulation window.
Too sluggish after regime changes: Decrease Bars back to focus on a shorter anchored period.
Chart clutter with multiple instances: Disable Labels while keeping the polyline visible.
What this indicator is—and isn’t
This is a visualization of an anchored VWAP with optional diagnostics. It is not a full trading system and does not include entries, exits, or position management. Use it alongside clear market structure, risk controls, and a plan for trade management. It does not predict future prices.
Inputs with defaults
Bars back: two hundred thirty-three bars, minimum one.
Labels: enabled or disabled toggle, default enabled.
Pine version: v6
Overlay: true
Primary outputs: one polyline, optional labels (anchor, conditional delta, and a warning when insufficient bars).
Metrics and functions: volume, ATR for label offset, object drawing via polyline and chart points, last-bar update pattern.
Special techniques: session gating from the anchor, persistent state, object recycling, explicit guards against unavailable values and zero volume.
Compatibility and assets: Designed for standard candlestick or bar charts across liquid assets and common timeframes.
Diagnostics: Yellow warning label when history is insufficient.
Disclaimer
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
Do not use this indicator on Heikin-Ashi, Renko, Kagi, Point-and-Figure, or Range charts, as these chart types can produce unrealistic results for signal markers and alerts.
Best regards and happy trading
Chervolino
REMS Synergy OverlayThis 3rd generation REMS indicator builds upon the foundations assessing the relationships between RSI, EMAs, MACDs, and Stochastic RSI across multiple timeframes. Designed to help traders identify less frequent, but high probability entries across 2 time frames. Uses 3 levels of confluence indicators for both long and short moves.
Confluence Level 1 (Highest Conviction):
Evaluates selected criteria across both timeframes. All selected criteria must be in confluence to trigger signal.
Confluence Level 2 (Moderate Conviction):
Selected criteria can be selected by each timeframe individually. All selected criteria must be in confluence to trigger signal.
Confluence Level 3 (Lower/supportive confluence):
Of the selected criteria, this level can evaluate a set number of conditions that must be met. Number of conditions is user-defined.
Includes VWAP and 4 EMAs as optional visual representations.
Includes 'Enhanced Candles' than can colour code candlesticks for better visual identification. (off by default)
Originally designed with 5 minute and 2 minute timeframes in mind, and pairs well with REMS First Strike and/or REMS Snap Shot indicators.
Values coded below:
RSI
-Primary: Length = 14, Smoothing = 20 (via SMA)
-Secondary: Length = 7, Smoothing = 20 (via SMA)
Stochastic RSI
Primary:
-RSI Length = 14
-Stochastic Length = 8
-%K = 3, %D = 3
Secondary:
-RSI Length = 7
-Stochastic Length = 7
-%K = 3, %D = 2
MACD - applied to both timeframes
-Fast = 12, Slow = 26, Signal = 9
Herd Flow Oscillator — Volume Distribution Herd Flow Oscillator — Scientific Volume Distribution (herd-accurate rev)
A composite order-flow oscillator designed to surface true herding behavior — not just random bursts of buying or selling.
It’s built to detect when market participants start acting together, showing persistent, one-sided activity that statistically breaks away from normal market randomness.
Unlike traditional volume or momentum indicators, this tool doesn’t just look for “who’s buying” or “who’s selling.”
It tries to quantify crowd behavior by blending multiple statistical tests that describe how collective sentiment and coordination unfold in price and volume dynamics.
What it shows
The Herd Flow Oscillator works as a multi-layer detector of crowd-driven flow in the market. It examines how signed volume (buy vs. sell pressure) evolves, how persistent it is, and whether those actions are unusually coordinated compared to random expectations.
HerdFlow Composite (z) — the main signal line, showing how statistically extreme the current herding pressure is.
When this crosses above or below your set thresholds, it suggests a high probability of collective buying or selling.
You can optionally reveal component panels for deeper insight into why herding is detected:
DVI (Directional Volume Imbalance): Measures the ratio of bullish vs. bearish volume.
If it’s strongly positive, more volume is hitting the ask (buying); if negative, more is hitting the bid (selling).
LSV-style Herd Index : Inspired by academic finance measures of “herding.”
It compares how often volume is buying vs. selling versus what would happen by random chance.
If the result is significantly above chance, it means traders are collectively biased in one direction.
O rder-Flow Persistence (ρ 1..K): Averages autocorrelation of signed volume over several lags.
In simpler terms: checks if buying/selling pressure tends to continue in the same direction across bars.
Positive persistence = ongoing coordination, not just isolated trades.
Runs-Test Herding (−Z) : Statistical test that checks how often trade direction flips.
When there are fewer direction changes than expected, it means trades are clustering — a hallmark of herd behavior.
Skew (signed volume): Measures whether signed volume is heavily tilted to one side.
A positive skew means more aggressive buying bursts; a negative skew means more intense selling bursts.
CVD Slope (z): Looks at the slope of the Cumulative Volume Delta — essentially how quickly buy/sell pressure is accelerating.
It’s a short-term flow acceleration measure.
Shapes & background
▲ “BH” at the bottom = Bull Herding; ▼ “BH-” at the top = Bear Herding.
These markers appear when all conditions align to confirm a herding regime.
Persistence and clustering both confirm coordinated downside flow.
Core Windows
Primary Window (N) — the main sample length for herding calculations.
It’s like the "memory span" for detecting coordinated behavior. A longer N means smoother, more reliable signals.
Short Window (Nshort) — used for short-term measurements like imbalance and slope.
Smaller values react faster but can be noisy; larger values are steadier but slower.
Long Window (Nlong) — used for z-score normalization (statistical scaling).
This helps the indicator understand what’s “normal” behavior over a longer horizon, so it can spot when things deviate too far.
Autocorr lags (acLags) — how many steps to check when measuring persistence.
Higher values (e.g., 3–5) look further back to see if trends are truly continuing.
Calculation Options
Price Proxy for Tick Rule — defines how to decide if a trade is “buy” or “sell.”
hlc3 (average of high, low, and close) works as a neutral, smooth price proxy.
Use ATR for scaling — keeps signals comparable across assets and timeframes by dividing by volatility (ATR).
Prevents high-volatility periods from dominating the signal.
Median Filter (bars) — smooths out erratic data spikes without heavily lagging the response.
Odd values like 3 or 5 work best.
Signal Thresholds
Composite z-threshold — determines how extreme behavior must be before it counts as “herding.”
Higher values = fewer, more confident signals.
Imbalance threshold — the minimum directional volume imbalance to trigger interest.
Plotting
Show component panels — useful for analysts and developers who want to inspect the math behind signals.
Fill strong herding zones — purely visual aid to highlight key periods of coordinated trading.
How to use it (practical tips)
Understand the purpose: This is not just a “buy/sell” tool.
It’s a behavioral detector that identifies when traders or algorithms start acting in the same direction.
Timeframe flexibility:
15m–1h: reveals short-term crowd shifts.
4h–1D: better for swing-trade context and institutional positioning.
Combine with structure or trend:
When HerdFlow confirms a bullish regime during a breakout or retest, it adds confidence.
Conversely, a bearish cluster at resistance may hint at a crowd-driven rejection.
Threshold tuning:
To make it more selective, increase zThr and imbThr.
To make it more sensitive, lower those thresholds but expand your primary window N for smoother results.
Cross-market consistency:
Keep “Use ATR for scaling” enabled to maintain consistency across different instruments or timeframes.
Denoising:
A small median filter (3–5 bars) removes flicker from volume spikes but still preserves the essential crowd patterns.
Reading the components (why signals fire)
Each sub-metric describes a unique “dimension” of crowd behavior:
DVI: how imbalanced buying vs selling is.
Herd Index: how biased that imbalance is compared to random expectation.
Persistence (ρ): how continuous those flows are.
Runs-Test: how clumped together trades are — clustering means the crowd’s acting in sync.
Skew: how lopsided the volume distribution is — sudden surges of one-sided aggression.
CVD Slope: how strongly accelerating the current directional flow is.
When all of these line up, you’re seeing evidence that market participants are collectively moving in the same direction — i.e., true herding.
200 SMA % DeviationIllustrates percent deviation from 200 SMA and +/- 13% bands where historically reversals have tended to occur.
Swing Points LiquiditySwing Points Liquidity
Unlock advanced swing detection and liquidity zone marking for smarter trading decisions.
Overview:
Swing Points Liquidity automatically identifies key swing highs and swing lows using a five-candle “palm” structure, marking each significant price turn with precise labels: “BSL swing high” for potential bearish liquidity and “SSL swing low” for potential bullish liquidity. This transparent swing logic provides a robust way to highlight areas where price is most likely to react—making it an invaluable tool for traders applying Smart Money Concepts, supply and demand, or liquidity-based strategies.
How It Works:
The indicator scans every candle on your chart to detect and label swing highs and lows.
A swing high (“BSL swing high”) is identified when a central candle’s high is greater than the highs of the previous two and next two candles.
A swing low (“SSL swing low”) is identified when a central candle’s low is lower than the lows of the previous two and next two candles.
Labels are plotted for every detected swing point, providing clear visualization of important market liquidity levels on any symbol and timeframe.
How to Use:
Liquidity levels marked by the indicator are potential price reversal zones. To optimize your entries, combine these levels with confirmation signals such as reversal candlestick patterns, order blocks, or fair value gaps (FVGs).
When you see a “BSL swing high” or “SSL swing low” label, observe the price action at that area—if a reliable reversal pattern or order block/FVG forms, it can signal a high-probability trade opportunity.
These marked liquidity swings are also excellent for locating confluence zones, setting stop losses, and identifying where institutional activity or smart money may trigger significant moves. Always use market structure and price action in conjunction with these levels for greater consistency and confidence in your trading.
Features:
Customizable label display for swing highs (BSL) and swing lows (SSL)
Automatic detection using robust 5-candle palm logic
Works with all symbols and chart timeframes
Lightweight, clear visual style—easy for manual and algorithmic traders
Notes:
The indicator requires at least two candles both before and after each swing point, so labels will start appearing after enough historical data is loaded.
For deeper historical analysis, simply scroll left or zoom out on your chart to load more candles—the indicator will automatically process and display swing points on all available data.
Empower your trading with the clarity of Swing Points Liquidity—boost your edge with sharper entries, exits, and liquidity-driven setups.
Diwali Lights Pro — 7-Diyas Signal Matrix [KedArc Quant]🎯 Overview
“Diwali Lights Pro — 7-Diyas Signal Matrix” is a precision-built trend-sentiment indicator that blends the glow of seven technical “diyas” — each representing a different momentum or strength dimension — into one intuitive signal matrix. It was designed to celebrate light, discipline, and clarity in trading — helping traders filter noise, identify strong trend shifts, and take trades with conviction. Each diya is powered by a proven indicator component: RSI, Stochastic, EMA trend strength, and momentum slopes.Together, they light up your chart with buy/sell signals only when technical confluence aligns — like the diyas of Diwali shining in harmony.
💡 Core Concept
The indicator computes a composite score (–9 to +9) by evaluating seven key parameters:
| # | Diya | Logic | Interpretation |
| 1 | RSI | Overbought / Oversold | Short-term momentum exhaustion |
| 2 | Stochastic | Direction & zones | Confirmation of RSI |
| 3 | Price vs EMA20 | Position of price | Near-term trend bias |
| 4 | EMA20 Slope | Short-term momentum | Strength confirmation |
| 5 | EMA50 Slope | Mid-term trend | Trend stability |
| 6 | EMA100 Slope | Medium-term sentiment | Institutional bias |
| 7 | EMA200 Slope | Long-term sentiment | Market direction baseline |
The total of these 7 diyas creates a signal matrix that dynamically adapts to trend conditions.
⚙️ Inputs & Configuration
| RSI Length | 14 | Standard RSI window |
| Stochastic Length | 14 | Measures momentum oscillation |
| EMA Periods | 20, 50, 100, 200 | Multi-layer trend structure |
| Overbought / Oversold Zones | 70 / 30 | Configurable thresholds |
| Show Buy/Sell Labels | ✅ | Toggle signal markers |
| Show Banner | ✅ | Festive Diwali header with fireworks |
| Twinkle Interval | 10 bars | Animation timing |
| Fireworks Count | 18 | Visual celebration intensity |
| Background Opacity | 100% | Style preference |
🧭 Entry & Exit Logic
# ✅ Buy Signal (🪔)
A Buy triggers when:
* The total diya score crosses above zero,
* And at least four of seven components turn bullish.
This indicates that short-term oscillators, price action, and moving averages are all turning in unison — a strong entry zone after a pullback.
# 🔥 Sell Signal (🔥)
A Sell triggers when:
* The total diya score crosses below zero,
* And multiple slopes or price conditions flip bearish.
This flags weakening momentum and possible trend exhaustion.
# 💬 Suggested Usage
* Works beautifully on 5-min to 1-hour charts.
* Best when used with trend confirmation tools (volume, price structure).
* Avoid entering trades when signals flip rapidly within narrow ranges (sideways zones).
🧪 Mathematical Formulae
1. RSI Bucket (p₁):
p₁ =
2 if RSI < Very Oversold
1 if RSI < Oversold
0 if neutral
-1 if RSI > Overbought
-2 if RSI > Very Overbought
2. Stochastic Bucket (p₂): Similar to RSI bucketing.
3. Price vs EMA20 (p₃):
p₃ = sign(close - EMA20)
4–7. Slope Sign (EMA20, 50, 100, 200):
p₄₋₇ = sign(EMA - EMA )
Total Score = Σ(p₁…p₇)
→ Crossover(total_score, 0) → Buy Signal
→ Crossunder(total_score, 0) → Sell Signal
📊 Why It’s Not Just a Mash-Up
Diwali Lights Pro uses:
* A unified scoring engine with weighted logic rather than conflicting triggers.
* Each component (diya) contributes equally, creating a normalized sentiment index.
* Smart signal filtering prevents repetitive false flips by enforcing trend alignment across multiple time frames.
* A dynamic, responsive structure optimized for clarity and minimal repainting.
🎆 Unique Add-Ons
* Top-Right Diwali Banner: Festive “Happy Diwali” with animated fireworks 🎇 and diyas 🪔.
* Signal Filtering: Reduces noise in volatile ranges.
* EMA Cloud Context: Visual clarity of multi-layer trend zones.
* Optional Light Mode: Change fireworks opacity for a subtle or bright effect.
📘 FAQ
Q1: Does this repaint?
No — it uses confirmed values (RSI, Stochastic, EMA slopes). Signals appear only after the bar closes.
Q2: Which timeframes work best?
Between 5m and 1h, depending on your strategy.
Use higher EMAs for swing setups.
Q3: Can I use it with alerts?
Yes, both Buy and Sell triggers come with built-in `alertcondition()` for instant notifications.
Q4: Can it be combined with other indicators?
Absolutely — it pairs well with volume profiles, volatility bands, or order-flow systems.
🪔 Glossary
| Diya | Candle or light — here, each diya = one technical indicator |
| EMA | Exponential Moving Average — measures smoothed trend bias |
| RSI | Relative Strength Index — momentum overbought/oversold oscillator |
| Stochastic | Momentum oscillator measuring closing levels relative to highs/lows |
| Slope Sign | Direction of EMA movement — rising or falling |
| Signal Matrix | The combined system of all seven diyas generating a unified score |
🧭 Final Note
> *Diwali Lights Pro* is not just a trading tool — it’s a visual celebration of confluence and discipline.
> When the diyas align, trends shine. Use it to trade in harmony with light, not against it. 🌟
⚠️ Disclaimer
This script is provided for educational purposes only.
Past performance does not guarantee future results.
Trading involves risk, and users should exercise caution and use proper risk management when applying this strategy.
True Single Line Fusion [by TitikSona]🧠 Full Description
True Single Line Fusion by TitikSona is an open-source oscillator that unifies Fast Stochastic, Slow Stochastic, and RSI into a single smooth momentum line.
It simplifies multi-oscillator analysis into one clear visual — helping traders recognize potential momentum shifts, exhaustion, and reversal zones.
⚙️ Core Logic
The indicator calculates:
Fast Stochastic (12,3,3) → short-term swing sensitivity
Slow Stochastic (100,8,8) → broad trend context
RSI (26) → overall strength and directional bias
All three are normalized (0–100) and averaged to form the Fusion Line, creating a single unified momentum curve.
A Signal Line (SMA-9) and Histogram are added to highlight short-term acceleration or deceleration.
Formula: Fusion = (FastK + SlowK + RSI) / 3
🔍 Interpretation
Fusion Line rising → momentum strengthening upward
Fusion Line falling → momentum weakening
Histogram color (green/red) shows the direction and intensity of the move
Background highlights identify potential extremes:
🟩 Green = potential oversold region
🟥 Red = potential overbought region
💡 How to Use
Works on any symbol and timeframe.
Use the Fusion Line’s direction and slope as momentum context, not as direct buy/sell signals.
Combine with price structure, support/resistance, or volume analysis to confirm potential reversals.
Example:
Fusion Line turning upward from green zone → possible bullish momentum shift
Fusion Line turning downward from red zone → possible bearish exhaustion
📘 Notes
Ideal for identifying turning points in ranging or consolidating markets.
Does not generate automated signals or predictions.
Open-source for learning, modification, and educational use.
Designed for clarity, low lag, and clean visualization.
🧩 Developed and shared by TitikSona — made to unify oscillators into one adaptive momentum tool.
SFC Bollinger Band and Bandit StrategySFC Bollinger Band and Bandit Strategy
概述 (Overview)
SFC 布林通道與海盜策略 (SFC Bollinger Band and Bandit Strategy) 是一個基於 Pine Script™ v6 的技術分析指標，結合布林通道 (Bollinger Bands)、移動平均線 (Moving Averages) 以及布林海盜 (Bollinger Bandit) 交易策略，旨在為交易者提供多時間框架的趨勢分析與進出場訊號。該腳本支援風險管理功能，並提供視覺化圖表與交易訊號提示，適用於多種金融市場。
This script, written in Pine Script™ v6, combines Bollinger Bands, Moving Averages, and the Bollinger Bandit strategy to provide traders with multi-timeframe trend analysis and entry/exit signals. It includes risk management features and visualizes data through charts and trading signals, suitable for various financial markets.
Moving Averages Power
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This is a README in Pine Script format for TradingView publication.
It contains usage docs in comments and a no-op plot so it uploads without issue.
For the actual indicator, use: moving_averages_simple.pine
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plot(na) no-op to keep the script valid without drawing anything
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Moving Averages (5–4320) — Trend + Normalized Strength
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Lightweight indicator that plots up to 15 SMAs (5 → 4320) and shows a compact
table with each MA’s:
- Slope % (per-bar)
- Trend (Bullish/Bearish/Neutral)
- Normalized “Strength” bars comparable across MA lengths and, optionally,
across timeframes via ATR%
Not financial advice. For research/education only.
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Scope
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- Simple Moving Averages (SMA) only
- Periods: 5, 10, 20, 30, 60, 120, 160, 240, 480, 720, 960, 1440, 1750, 2880, 4320
- Overlays lines + end-of-series labels; adds a 4×16 table (bottom-right)
- Strength normalization modes: None, Length, ATR%, Length+ATR%
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Key Features
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- 15 SMA lines on one chart
- Line/label/table colors reflect trend:
• Bullish (slope > 0): green
• Bearish (slope < 0): red
• Neutral (otherwise): gray
- Normalized Strength bars comparable across MA lengths and (optionally) across
timeframes via ATR%
- Show/hide any SMA; adjustable font sizes for labels and table
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Installation (TradingView)
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1) Open TradingView → any chart → Pine Editor
2) Create a new script and paste the contents of moving_averages_simple.pine
3) Save → Add to chart
4) Open Settings to customize inputs
(This README.pine is just documentation. It does not draw lines or the table.)
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Usage
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Table columns:
- MA: the moving average period
- Slope %: per-bar percent change of the MA
slope% = 100 × (MA − MA ) / MA
- Trend: Bullish (green), Bearish (red), Neutral (gray)
- Strength: a bar of ▮ characters, computed from normalized strength and
clamped to a max (default 10 bars)
Strength normalization (S):
- None: S = |slope%|
- Length: S = |slope%| × (length / normRefLen)
- ATR%: S = |slope%| / ATR%, where ATR% = 100 × ATR(atrLen) / close
- Length+ATR%: S = (|slope%| × (length / normRefLen)) / ATR%
Bars: bars = floor(S / strengthStep), clamped to maxStrengthBars
Notes:
- normRefLen (default 240) stabilizes Length scaling across very short/long MAs
- In ATR modes, Strength is blank until ATR is ready (requires atrLen bars)
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Inputs (Settings)
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- Display: 15 toggles to show/hide SMA 5 … SMA 4320
- Text Settings: Label font size; Table font size
- Strength Settings:
• Strength normalization: None | Length | ATR% | Length+ATR%
• Strength step (normalized units): sensitivity of bar count
• Max bars: clamp for bar count (default 10)
• Normalization reference length: baseline for Length scaling (default 240)
• ATR Length (for ATR% normalization): ATR lookback for ATR%
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Recommended presets
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Intraday (e.g., BTCUSD, 1h):
- Normalization: Length+ATR%
- normRefLen: 240
- Strength step: 0.02–0.05
- Max bars: 10
- ATR Length: 14
Daily (e.g., AAPL, 1D):
- Normalization: Length
- normRefLen: 240–480
- Strength step: 0.01–0.03
- Max bars: 10
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Calibration tips
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Bars often maxed (pegged)?
- Increase Strength step (e.g., 0.01 → 0.03 → 0.05)
- Or increase normRefLen (e.g., 240 → 480 → 720)
Bars too few?
- Decrease Strength step (e.g., 0.02 → 0.01 → 0.005)
- Or decrease normRefLen (e.g., 240 → 120)
Cross-timeframe comparability:
- Prefer Length+ATR%; start with Strength step ≈ 0.02–0.05 and tune
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Limitations
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- SMA only (no EMA/WMA/etc.)
- Per-bar slope is timeframe-sensitive; use ATR% or Length+ATR% for better
cross-timeframe comparisons
- ATR modes require atrLen bars; Strength shows blank until ready
- Longest SMA (4320) needs sufficient chart history
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Troubleshooting
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- Strength always maxed:
• Using Length mode with too-small step → increase step and/or use Length+ATR%
• Review normRefLen (higher ref length dampens long MAs)
- Strength blank cells:
• In ATR modes, wait for atrLen bars or use Length mode
- Table bounds:
• If you customize periods or table size in the main script, keep header at
row 0 and at most 15 data rows (4×16 table)
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Compatibility
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- Pine Script v6
- Works on most symbols/timeframes with adequate history
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Credits & Feedback
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If you find this useful, consider sharing your preferred defaults (symbol/
timeframe) so better presets can be added. PRs/issues welcome in the repo.
MTF MACD + Accelerator Oscillator Strategy ※日本語説明は英文の下にあります。
Concept:
This is a multi-timeframe trend-following strategy that combines:
Higher timeframe MACD → determines the major trend direction.
Lower timeframe Accelerator Oscillator (AC) → identifies acceleration in momentum for optimal entry timing.
The strategy enters trades in the direction of the higher timeframe trend when the AC shows a momentum acceleration.
Entry Rules:
Long (Buy):
Higher timeframe MACD line > signal line (uptrend)
AC crosses above zero line on the lower timeframe
Short (Sell):
Higher timeframe MACD line < signal line (downtrend)
AC crosses below zero line on the lower timeframe
Exit Rules:
Take Profit: ATR(14) * 1.5 (configurable)
Stop Loss: ATR(14) * 1.0 (configurable)
Exit on opposite signal or if TP/SL is hit
Plotting:
AC is plotted on the chart (green for positive, red for negative)
Buy/Sell signals are marked with small triangles below/above bars
Customization:
Timeframe, MACD parameters, ATR multipliers can be adjusted in the input settings.
Works for scalping, day trading, or swing trading on various instruments.
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コンセプト:
この戦略はマルチタイムフレームのトレンドフォロー型で、以下を組み合わせています：
上位足MACD → 大きなトレンド方向を確認
下位足Accelerator Oscillator（AC） → モメンタム加速のタイミングを捉え、最適なエントリーを判断
上位足のトレンド方向に沿って、下位足でACが勢いの加速を示したタイミングでエントリーします。
エントリールール:
ロング（買い）:
上位足MACDライン > シグナルライン（上昇トレンド）
下位足ACが0ラインを上抜け
ショート（売り）:
上位足MACDライン < シグナルライン（下降トレンド）
下位足ACが0ラインを下抜け
エグジットルール:
利確：ATR(14) * 1.5（設定可能）
損切り：ATR(14) * 1.0（設定可能）
逆シグナル発生時やTP/SL到達時にも決済
チャート表示:
ACはチャート上にプロット（正なら緑、負なら赤）
買い／売りシグナルはバーの下／上に小さな三角で表示
カスタマイズ:
時間足、MACDパラメータ、ATR倍率は入力設定で変更可能
スキャルピング、デイトレード、スイングトレードなど幅広く利用可能
harmonic MACD by fcTwo-color MACD indicator that also displays, in the form of a cloud, the MACD of the higher harmonic timeframe.
Daily 20/40 EMA Cross Screener (Confirmed Daily)Description:
This indicator screens for daily 20/40 EMA crossovers, designed specifically to work seamlessly with TradingView’s Pine Screener. It calculates signals and metrics on the closed daily bar only — ensuring non-repainting, stable screener values.
Features:
✅ Long Signal: triggered when 20-day EMA crosses above 40-day EMA on the daily close.
⏳ Days Since Long: counts the number of trading days since the most recent bullish crossover.
📈 ATR% (20-day): measures average volatility as a percentage of price.
💵 Average $ Volume (20-day): filters for liquidity to focus on higher-quality setups.
How to use:
Add the indicator to your chart and Favorite it.
Open Pine Screener (Daily timeframe).
Filter by:
Long = 1 for active bullish signals
DaysSinceLong (e.g., < 3) to find fresh breakouts
AvgATR%_20d to define volatility ranges
Avg$Volume_20d for liquidity thresholds.
Perfect for trend-following and momentum traders looking to catch early daily trend shifts with strong volume and clean confirmation.
Composite Stochastic Oscillator (CSO) [SharpStrat]Composite Stochastic Oscillator (CSO)
The Composite Stochastic Oscillator (CSO) is a refined momentum tool designed to improve on the limitations of the traditional stochastic indicator. Standard stochastics are often too sensitive, producing choppy signals and frequent false turns. CSO tackles this problem by combining multiple stochastic calculations, each with different lengths and smoothing settings, into a single, balanced output.
The goal of combining these stochastic variants is to create a more stable and reliable reading of market momentum. Each version of the stochastic captures different aspects of price behavior like shorter ones react faster, while longer ones filter noise. CSO brings them together mathematically to form a composite oscillator that reacts smoothly and consistently across varying market conditions. This makes it a useful improvement over the standard stochastic, providing traders with a more dependable signal while retaining the familiar interpretation framework.
How It Works
Calculates five independent stochastic oscillators with customizable K, D, and slowing parameters.
Each stochastic contributes to the final composite value according to its assigned weight, allowing the user to emphasize faster or slower reactions.
The resulting composite K is then smoothed into a D line using a chosen moving average method (SMA, EMA, WMA, or RMA).
The oscillator is plotted along with optional overbought/oversold levels and a color fill to enhance visual interpretation.
A compact on-chart table displays the current K and D readings for quick reference.
Comparison with normal Stochastic
Compared to a standard stochastic, the CSO generally produces smoother lines and fewer false flips. As evident in the comparison chart, this improves upon the normal stochastic by reducing noise and making signals more reliable, although results depend on parameter settings too.
How To Use It
Use the CSO exactly like a normal stochastic: look for crossovers, overbought/oversold zones, and divergences.
In practice, CSO should provides smoother and more consistent signals than the regular stochastic, especially in sideways or volatile markets.
When plotted beside a standard stochastic, you’ll notice CSO avoids many of the false reversals that clutter traditional readings.
Customization Options
Choice of smoothing method (SMA, EMA, WMA, RMA).
Full control over each stochastic component’s parameters and weights.
Adjustable overbought/oversold levels and display preferences.
Option to enable or disable the on-chart table and zone fills.
Note
This indicator is shared purely for educational and research purposes. It is not financial advice and should not be treated as a ready-made trading system.
I encourage you to experiment with different parameter values (periods, weights, smoothing) to explore how the behavior changes and to learn from the results.
Squeeze Momentum with ADX Filter and Multi-Cycle WavesTitle:
Squeeze Momentum with ADX Filter and Multi-Cycle Waves
Description:
This indicator integrates three well-established technical analysis methodologies into a single oscillator to help traders assess volatility compression, trend strength, and cyclical momentum alignment:
Squeeze Momentum (TTM-style) – Based on Bollinger Bands and Keltner Channels, it identifies periods of low volatility ("the squeeze") followed by directional breakouts. The histogram reflects momentum using linear regression relative to a dynamic centerline. Positive values indicate upward momentum; negative values indicate downward momentum.
ADX with DI+/DI- (Welles Wilder, 1978) – The Average Directional Index is dynamically scaled to match the visual range of the Squeeze histogram. A user-defined Key Level (default: 32) serves as a reference threshold: when ADX rises above this level, it suggests a strong trend is present. DI+ (green) and DI- (red) show directional bias.
Multi-Cycle Waves (55/144/233) – Inspired by adaptive cycle analysis and MACD-style oscillators, these smoothed momentum waves help identify confluence across multiple timeframes. They are optional and appear as shaded areas when enabled.
Key Features:
The Squeeze Momentum Line appears as black/gray crosses at the zero level, indicating momentum polarity without visual clutter.
The Key Level is shown as a thick gray horizontal line, representing the ADX threshold in the scaled oscillator space.
ADX is plotted with increased line width (3) for better visibility.
All components are dynamically scaled to share the same vertical axis, enabling direct visual comparison.
Attribution:
Bollinger Bands: John Bollinger
Keltner Channels: Chester Keltner
Squeeze concept popularized by Linda Raschke and John Carter
ADX/DI system: J. Welles Wilder Jr.
Multi-cycle wave logic: inspired by John Ehlers’ work on market cycles
Integration, scaling logic, and visualization: © Carlos Mauricio Vizcarra (2025)
This script is published under the Mozilla Public License v2.0. It is open-source, non-promotional, and designed for educational and analytical use only. No investment advice is provided.
Breakdown or Buyable Dip? Pullback Depth Can HelpAs a common adage says, “the market doesn’t move in a straight line.” But when prices have fallen, it’s not always clear whether buying makes sense. That’s where today’s script may help.
Most traditional indicators judge movement based on price. That’s obviously important, but time can also be helpful. After all, there’s a big difference between probing a low from 2-3 weeks ago versus a low from months or even years in the past.
Pullback Depth clearly illustrates this by answering the question: “Today’s low is the lowest in how many bars?”
The resulting integer is plotted in a simple histogram. Values are always negative because bars with higher absolute values (meaning more negative, or further below zero) are potentially more bearish.
The study also has a maximum lookback period to avoid overwhelming the study with too many bars. Its default setting of 125 bars includes enough history to illustrate the trend.
The stock market’s recent run has seen only shallow pullbacks. Most dips have probed 1-2 weeks in the past, while Friday’s selloff only turned back the clock a month.
Consider two other previous moments.
First, the great bull run of 1995 saw only shallow pullbacks. (None exceeded 50 days.):
In contrast, early 2022 saw the S&P 500 test levels more than 100 candles into the past. It soon fell into an official “bear market:”
TradeStation has, for decades, advanced the trading industry, providing access to stocks, options and futures. If you're born to trade, we could be for you. See our Overview for more.
Past performance, whether actual or indicated by historical tests of strategies, is no guarantee of future performance or success. There is a possibility that you may sustain a loss equal to or greater than your entire investment regardless of which asset class you trade (equities, options or futures); therefore, you should not invest or risk money that you cannot afford to lose. Online trading is not suitable for all investors. View the document titled Characteristics and Risks of Standardized Options at www.TradeStation.com . Before trading any asset class, customers must read the relevant risk disclosure statements on www.TradeStation.com . System access and trade placement and execution may be delayed or fail due to market volatility and volume, quote delays, system and software errors, Internet traffic, outages and other factors.
Securities and futures trading is offered to self-directed customers by TradeStation Securities, Inc., a broker-dealer registered with the Securities and Exchange Commission and a futures commission merchant licensed with the Commodity Futures Trading Commission). TradeStation Securities is a member of the Financial Industry Regulatory Authority, the National Futures Association, and a number of exchanges.
TradeStation Securities, Inc. and TradeStation Technologies, Inc. are each wholly owned subsidiaries of TradeStation Group, Inc., both operating, and providing products and services, under the TradeStation brand and trademark. When applying for, or purchasing, accounts, subscriptions, products and services, it is important that you know which company you will be dealing with. Visit www.TradeStation.com for further important information explaining what this means.
XAUUSD Watchdog — FVG + BOS (Lite, v6)smart-money structure and FVG alert tool for XAUUSD with auto 1 : R targets.
VECTOR CODE V3.20 betait use for measuring volume and direction for nasdaq futures. this is just a test don't use.
Money Noodle_HHMoney Noodle and emas for crypto and stocks.
Money Noodle and emas for crypto and stocks.
Money Noodle and emas for crypto and stocks.
Combined OP Lines and Daily High/Low
This Pine Script v6 indicator for TradingView ("Combined OP Lines and Daily High/Low") overlays the chart and visualizes in UTC+02:00 (manually adjust for DST):
OP Lines: At 0:00 (new day) and 6:00 AM, draws black horizontal lines at the opening price (extend right), vertical black markers, and labels ("OP 0:00"/"OP 6:00"). Old elements are deleted.
Previous Day High/Low: Blue thick horizontal lines (extend right) with labels ("Daily High/Low: "), based on request.security (daily TF, high/low ).
Useful for day trading: Marks intraday sessions and prior-day extremes as support/resistance. Purely visual, dynamically updated, efficient (resource management). Limitations: Fixed timezone, no alerts, colors could be optimized.
