Monthly DI+ & RSI StrategyOverview This strategy is designed to capture significant trend reversals and continuations on the Monthly timeframe. It combines the trend-following capability of the Directional Movement Index (DMI) with the fast momentum detection of RSI (Period 6).
Core Logic The strategy triggers a long position based on a dual-confirmation system. It looks for a specific "handshake" between Trend (DI) and Momentum (RSI).
Entry Conditions (OR Logic) A Buy signal is generated if EITHER of the following occurs:
Trend Trigger: DI+ crosses over DI- (while RSI is already bullish, trading above its SMA).
Momentum Trigger: RSI(6) crosses over RSI SMA(14) (while the trend is already bullish, with DI+ > DI-).
Exit Condition (Stop Loss)
Trend Reversal: The position is closed immediately if DI- crosses over DI+, indicating the bullish trend has been invalidated.
Default Settings
Timeframe: Optimized for 1M (Monthly) charts.
RSI: Length 6
RSI SMA: Length 14
DMI: Length 14 / Smoothing 14
Risk Warning This script is for educational purposes only. Past performance does not guarantee future results. Always backtest on your specific asset classes before trading.
Chỉ báo và chiến lược
MA20 ATR Trend Failure FilterA volatility-adaptive filter designed to identify early trend invalidation.
This indicator combines a 20-period Moving Average (MA20) with Average True Range (ATR) to dynamically define a lower volatility boundary.
When price closes below this boundary, it signals that the current trend is no longer valid and risk is increasing.
Core Concept(核心思想)
MA defines the trend baseline
ATR measures current market volatility
MA − k × ATR forms a dynamic risk threshold
A close below this threshold = trend failure
👉 中文补充:
这不是反转指标,而是趋势失效过滤器,用于避免在趋势已经被破坏后继续持仓或加仓。
How It Works
Calculate MA20 as the trend reference
Calculate ATR(14) as volatility proxy
Build adaptive bands:
Upper Band = MA20 + k × ATR
Lower Band = MA20 − k × ATR
If close < Lower Band, trend is considered failed
The ATR multiplier k automatically adjusts the tolerance based on volatility, avoiding rigid fixed-percentage rules.
Visual Elements
Yellow line: MA20
Green band: MA20 + k × ATR
Red band: MA20 − k × ATR (key risk boundary)
Red triangle + “FAIL” label: Trend failure signal
Optional background shading to highlight risk zones
Typical Use Cases
Trend-following strategies (exit / reduce exposure)
Breakout strategies (filter false continuation)
Risk management overlay (non-intrusive, no repaint)
Combine with HMA, SuperTrend, structure-based entries
👉 中文补充:
非常适合作为**“不该再拿”的客观判断条件**,而不是频繁交易信号。
Why This Indicator
Volatility-adaptive (ATR-based)
No future data, no repaint
Simple logic, strong risk control
Works across stocks, crypto, futures, indices
This tool is designed to answer one question only:
Is the current trend still valid?
Parameters
MA Length (default: 20)
ATR Length (default: 14)
ATR Multiplier k (default: 0.8)
Lower k → stricter risk control
Higher k → more tolerance, fewer false signals SSE:600595
BTC - ALSI: Altcoin Season Index (Dynamic Eras)Title: BTC - ALSI: Altcoin Season Index (Dynamic Eras)
Overview & Philosophy
The Altcoin Season Index (ALSI) is a quantitative tool designed to answer the most critical question in crypto capital rotation: "Is it time to hold Bitcoin, or is it time to take risks on Altcoins?"
Most "Altseason" indicators suffer from Survivor Bias or Obsolescence. They either track a static list of coins that includes "dead" assets from previous cycles (ghosts of 2017), or they break completely when major tokens collapse (like LUNA or FTT).
This indicator solves this by using a Time-Varying Basket. The indicator automatically adjusts its reference list of Top 20 coins based on historical eras. This ensures the index tracks the winners of the moment—capturing the DeFi summer of 2020, the NFT craze of 2021, and the AI/Meme narratives of 2024/2025.
Methodology
The indicator calculates the percentage of the Top 20 Altcoins that are outperforming Bitcoin over a rolling window (Default: 90 Days).
The "Win" Count: For every major Altcoin performing better than BTC, the index adds a point.
Dynamic Eras: The basket of coins changes depending on the date:
2020 Era (DeFi Summer): Tracks the "Blue Chips" of the DeFi revolution like UNI, LINK, DOT, and early movers like VET and FIL.
2021 Era (Layer 1 Wars): Tracks the explosion of alternative smart contract platforms, adding winners like SOL, AVAX, MATIC, and ALGO.
2022 Era (The Survivors): Filters for resilience during the Bear Market, solidifying the status of established assets like SHIB and ATOM.
2023 Era (Infrastructure & Scale): Captures the rise of "Next-Gen" tech leading into the pre-halving year, introducing TON, APT (Aptos), and ARB (Arbitrum).
2024/25 Era (AI & Speed): Tracks the current Super-Cycle leaders, focusing on the AI narrative (TAO, RNDR), High-Performance L1s (SUI), and modern Memes (PEPE).
Chart Analysis & Strategy ( The "Alpha" )
As seen in the chart above, there is a strong correlation between ALSI Peaks and local tops in TOTAL3 (The Crypto Market Cap excluding BTC & ETH).
The Entry (Rotation): When the indicator rises above the neutral 50 line, it signals that capital is beginning to rotate out of Bitcoin and into Altcoins. This has historically been a strong confirmation signal to increase exposure to high-beta assets.
The Exit (Saturation): When the indicator hits 100 (or sustains in the Red Zone > 75), it means every single Altcoin is beating Bitcoin. Historically, this extreme exuberance often marks a local top in the TOTAL3 chart. This is the zone where smart money typically sells into strength, rather than opening new positions.
How to Read the Visuals
🚀 Altcoin Season (Red Zone > 75): Strong Altcoin dominance. The market is "Risk On."
🛡️ Bitcoin Season (Blue Zone < 25): Bitcoin dominance. Alts are bleeding against BTC. Historically, this is a defensive zone to hold BTC or Stablecoins.
Data Dashboard: A status table in the bottom-right corner displays the live Index Value, current Regime, and a System Check to ensure all 20 data feeds are active.
Settings
Lookback Period: Default 90 Days. Lowering this (e.g., to 30) makes the index faster but noisier.
Thresholds: Adjustable zones for Altcoin Season (Default: 75) and Bitcoin Season (Default: 25).
Credits & Attribution
This open-source indicator is built on the shoulders of giants. I acknowledge the original creators of the concept and the pioneers of its implementation on TradingView:
Original Concept: BlockchainCenter.net. - They established the industry standard definition: 75% of the Top 50 coins outperforming Bitcoin over 90 days = Altseason..
TradingView Implementation: Adam_Nguyen - He implemented the "Dynamic Era" logic (updating the coin list annually) on TradingView. Our code structure for the time-based switching is inspired by his methodology. See also his implementation in the chart. ( Altcoin Season Index - Adam) .
Comparison: Why use ALSI | RM?
While inspired by the above, ALSI introduces three key improvements:
Open Source: Unlike other popular TradingView versions (which are closed-source), this script is fully transparent. You can see exactly which coins are triggering the signal.
Sanitized History (Anti-Fragile): Historical Top 20 snapshots are not blindly used. "Dead" coins (like LUNA and FTT) from previous eras are manually filtered out. A raw index would crash during the Terra/FTX collapses, giving a false "Bitcoin Season" signal purely due to bad actors. The curated list preserves the integrity of the market structure signal.
Narrative Relevance: The 2024/25 basket was updated to include TAO (Bittensor) and RNDR, ensuring the index captures the dominant AI narrative, rather than tracking fading assets from the previous cycle.
You can compare the ALSI indicator with other available tradingview indicators in the chart: Different indicators for the same idea are shown in the 3 Pane window below the BTC and Total3 chart, whereas ALSI is the top pane indicator.
Important Note on Coin Selection Baskets are highly curated: Dead/irrelevant coins (FTT, LUNA, BSV) are excluded for clean signals. This prevents historical breaks and ensures Era T5 captures current narratives (AI, Memes) via TAO/RNDR. See above. Users are free to adjust the source code to test their own baskets.
Disclaimer
This script is for research and educational purposes only. Past correlations between ALSI and TOTAL3 do not guarantee future results. Market regimes can change, and "Altseasons" can be cut short by macro events.
Tags
bitcoin, btc, altseason, dominance, total3, rotation, cycle, index, alsi, Rob Maths
Moving Averages 20 & 200Moving Averages 20&200. Help you decide buy signal to find bullish or bearish.
UNDETECTED FX - 250 Pip LevelsIndicator Description – UNDETECTED FX: 250-Pip Psychological Levels
This indicator automatically plots major 250-pip psychological levels on XAUUSD and highlights the price zones around them. These levels act as strong reaction points where liquidity, reversals, and institutional activity commonly occur.
What the Indicator Does
✔ Plots every 250-pip level starting from a user-defined base (e.g., 4050 → 4075 → 4100 → 4125 → …)
✔ Each level is represented by a thick black horizontal line for maximum visual clarity
✔ Around every 250-pip level, the indicator draws a liquidity zone
Top of zone: +200 pips
Bottom of zone: –200 pips
(configured as ± zoneHalf in settings)
✔ Uses extend: both, so levels stretch across the entire chart and stay fixed, no matter how far you scroll
✔ Zones are filled with a customizable color for clear premium/discount visualization
✔ The indicator never repaints and requires no updates after drawing — all levels are fixed on their price coordinates
Why It’s Useful
🔹 Helps quickly identify institutional levels where gold often reacts
🔹 Acts as a framework for scalping, intraday trading, and swing bias
🔹 Makes it easy to spot liquidity sweeps, rejections, and premium/discount areas
🔹 Clearly shows market structure breaks around key psychological levels
🔹 Forces discipline by creating predefined, fixed levels for trading decisions
Best Use Case
XAUUSD scalpers
Intraday traders who rely on precision entries
Traders who use psychological levels, liquidity grabs, or smart-money concepts
Anyone wanting a clean, non-cluttered chart with high-impact levels only
Colby Cheese VWAP Setup [v2.0]🔧 Core Refactors
• Imbalance function fixed:
• Removed invalid usage.
• Now uses for past bar references.
• Bias checks are handled outside the function with proper series indexing.
• Bias alignment:
• Added and so CHoCH signals only fire when price change agrees with EMA bias.
• Swing reset:
• After a valid CHoCH, and reset to so stale levels don’t keep firing.
• Line/label management:
• CHoCH lines and labels now reuse persistent IDs (, ) instead of spamming new objects every trigger.
✨ New Features
• Anticipation mode:
• Blue “Anticipate” lines/labels drawn when delta + bias align before CHoCH confirmation.
• Helps you see potential setups earlier.
• Entry zone lines:
• Solid green/red lines drawn at entry levels when is enabled.
• Separate from FRVP dashed zones.
• Stop‑loss lines:
• Orange dotted lines drawn opposite the entry zone when is enabled.
• Gives a visual risk marker.
🎨 Visual Consistency
• Candle coloring simplified: white candles only when CHoCH triggers.
• FRVP zones remain dashed lines with “Enter” labels.
• Anticipation zones are blue solid lines.
• Entry zones are solid green/red.
• Stop‑loss lines are orange dotted.
ETIQUETAS DE ANCLAJE.INTERVALO 9:00 AM/4.15PMThis indicator displays labels on the candlestick that range from 9:00 am to 4:15 pm, with 5-minute intervals, indicating the 5M periods on the chart.
Multi-TF EMA Alignment with Curvature (Buy & Sell) 2when you pick 3 times frames as a Context, Validation, and Entry, when all EMA's stack on all three time frame with curvature up or down it signals a long or short
Confluence Levels + Vol Triangles + No-Trade GrayWhen two levels cross: Premarket High (PMH), Premarket Low (PML), Yesterday High (YH), Yesterday Low (YL), Opening Range High (ORH), Opening Range Low (ORL),VWAP, you get a confluence trigger (line cross) that is green for a bull signal and red for a bear signal. Orange line cross signals confluence, but it is unclear what direction. Additional confluence is signaled by a triangle once volume
Hybrid Trend-Following Inside Bar BreakoutHybrid Trend-Following Inside Bar Breakout Strategy
The Hybrid Trend-Following Inside Bar Breakout Strategy is a rule-based trading system designed to capture strong directional moves while controlling risk during uncertain market conditions. It combines trend-following, price action, and volatility-based risk management into a single robust framework.
Core Concept
The strategy trades inside bar breakouts only in the direction of the dominant market trend. Inside bars represent periods of consolidation, and when price breaks out of this consolidation in a trending market, it often leads to impulsive moves with favorable risk–reward characteristics.
Key Components
1. Trend Filter
Uses 50 EMA and 200 EMA to define the market trend.
Bullish bias: 50 EMA above 200 EMA
Bearish bias: 50 EMA below 200 EMA
This filter prevents counter-trend trades and improves trade quality.
2. Volatility Filter
Compares fast ATR (14) with slow ATR (50).
Trades are taken only when volatility is expanding or above a minimum threshold.
This avoids low-volatility, choppy market conditions.
3. Inside Bar Breakout
An inside bar forms when the current candle’s high is lower than the previous candle’s high and the low is higher than the previous candle’s low.
A trade is triggered only when price breaks above or below the inside bar range in the direction of the trend.
4. Candle Quality Filter
Requires a minimum body-to-range ratio, ensuring that the breakout candle has strong momentum and is not driven by weak wicks.
Risk Management & Trade Management
Stop Loss (SL)
Placed using ATR-based dynamic stops, adapting to current market volatility.
Prevents tight stops in volatile conditions and wide stops in calm markets.
Partial Profit Taking
50% of the position is exited at 1.5R, locking in profits early.
This reduces psychological pressure and improves equity stability.
Trailing Stop
After partial profit is taken, the remaining position is managed with an ATR-based trailing stop.
Allows the strategy to capture large trend moves while protecting gains.
Cooldown Mechanism
After a losing trade, the system enters a cooldown period and skips a fixed number of bars.
This helps avoid revenge trading and overtrading during unfavorable market phases.
Why This Strategy Works
Trades only high-probability breakouts in trending markets
Adapts automatically to changing volatility
Combines price action precision with systematic risk control
Designed for consistent performance over long historical periods
EMA 5/9 Angle + Candle Strength (SL=Open, TP=RR)EMA 5 / EMA 9 cross
Cross must have ~30° angle (approximated using slope → atan)
Entry candle must be bullish/bearish and also be Normal / 2nd Most / Most based on body-size percentile
Entry = close of signal candle
SL = open of signal candle
TP = 1:2 RR (editable input)
Timeframe Overlay 24HrDaily High–Low Box (00:00–23:59)
This indicator highlights each trading day with a shaded box spanning from 00:00 to 23:59 (based on the selected timezone) and covering the day’s highest and lowest price.
• Green box when the day closes above its open
• Red box when the day closes below its open
• Historical days are fully drawn for easy comparison
• Current day box builds dynamically as new candles form
Useful for visualising daily range, market bias, and intraday structure across all timeframes.
Rainbow MA Width█ OVERVIEW
Rainbow MA Width is a companion indicator for Rainbow MA Cloud. It displays ribbon width as a normalized Z-Score, allowing traders to visualize trend momentum expansion and contraction relative to recent history.
█ CONCEPTS
Z-Score Normalization:
Rather than displaying raw width values (which vary by asset and timeframe),
this indicator normalizes the ribbon width using Z-Score calculation:
Z-Score = (Current Width - Average Width) / Standard Deviation
Z-Score Interpretation:
• 0 = Average width (mean)
• +1 to +2 = Expanding (above average, strong trend)
• -1 to -2 = Contracting (below average, weakening trend)
• Beyond ±2 = Extreme (statistical outlier, potential reversal)
Width Calculation Modes:
• Outer — Distance between fastest and slowest MA: |MA1 - MA8|
• Average Gap — Mean of all adjacent MA gaps
• Total Gap — Sum of all adjacent MA gaps
█ FEATURES
1 — Width Mode Selection
Three methods to calculate ribbon width.
"Outer" recommended for aligned trends.
2 — Z-Score Period
Configurable lookback for mean and standard deviation.
Default 20 bars; increase for smoother, less reactive readings.
3 — Zone Fill Coloring
Cyan fill when expanding (Z > 0).
Orange fill when contracting (Z < 0).
Yellow fill for extreme values (|Z| > 2) as warning.
4 — Alignment Background
Green background during bullish alignment.
Red background during bearish alignment.
Synced with Rainbow MA Cloud for consistency.
5 — Reference Lines
Horizontal lines at 0 (mean), ±1σ, and ±2σ levels.
Provides clear visual boundaries for interpretation.
6 — Raw Width Display
Optional secondary line showing original width percentage.
Useful for comparing normalized vs absolute values.
█ HOW TO USE
Trend Confirmation:
• Z-Score rising above 0 confirms trend acceleration
• Z-Score staying above +1 indicates sustained strong momentum
• Use alongside alignment background for confluence
Reversal Warning:
• Z-Score exceeding +2 suggests overextension (yellow warning zone)
• Z-Score dropping below -2 indicates extreme contraction
• Extreme readings often precede trend reversals or consolidation
Entry Timing:
• Enter trends when Z-Score crosses above 0 (expansion beginning)
• Avoid entries when Z-Score is at extreme highs (potential exhaustion)
• Consider exits when Z-Score peaks and begins declining
█ LIMITATIONS
• Z-Score is relative to lookback period; different periods give different readings
• Extreme zones (±2) are statistical guides, not guarantees
• Best used in conjunction with Rainbow MA Cloud for full context
█ ALERTS
Four built-in alert conditions:
• Z-Score crosses above/below zero
• Z-Score enters extreme high/low zones (±2)
Fish vs Shark Vote Dashboard (6 Signals)very simple dashboard align with fish and shark market votes 1/5 2/4 etc
Momentum Burst Pullback System v66 * Detects **momentum “bursts”** using:
* **Keltner breakout** (high above upper band for long, low below lower band for short), and/or
* **MACD histogram extreme** (highest/lowest in a lookback window, with correct sign).
* Optional **burst-zone extension** keeps the burst “active” for N extra bars after the burst.
* Marks bursts with **K** (Keltner) and **M** (MACD) labels:
* Core burst labels use one color, extension labels use a different color.
* Tracks the most recent burst as the **dominant side** (long or short), and stores burst “leg” anchors (high/low context).
* Adds **structure-based invalidation**:
* On a new **core burst**, it locks the most recent **confirmed swing** level (pivot):
* Long: locks the last confirmed **swing low**.
* Short: locks the last confirmed **swing high**.
* After the burst, if price **breaks that locked level**, the burst regime is **cancelled** (and any pending setup on that side is dropped).
* Finds **pullback setups** after a dominant burst (and not inside the active burst zone), within min/max bars:
* Long pullback requires a sequence of **lower highs** and price still below the burst high.
* Short pullback requires **higher lows** and price still above the burst low.
* Optional background shading highlights pullback bars.
* On pullback bars, plots **static TP/SL crosses** using ATR:
* Anchor is the pullback bar’s high (long) or low (short).
* TP/SL are ± ATR * multiple.
* TP plots are visually classified (bright vs faded) based on whether TP would exceed the prior burst extreme.
* Maintains a **state-machine entry + trailing stop**:
* Sets a “waiting” trigger on pullback.
* Enters when price breaks the trigger (high break for long, low break for short).
* Trails a stop using **R-multiples**, with different behavior pre-break-even, post-break-even, and near-TP.
* Optionally draws the trailing stop as horizontal line segments.
* Optionally shows a **last-bar label** with the most recent pullback’s TP and SL values.
Demi's + EMAs + VWAP + Key SR Lines + RSI SignalsBasic buy sell script for 5 min chart updated daily
Large Candle HighlightHighlights candles whose range exceeds a specified threshold by shading the chart background.
This indicator is designed to visually identify unusually large price movements without generating trade signals.
キャンドルの長さを設定し、数値以上なら背景をハイライトするインジケーターです。
Candle Microstructure ClassifierCandle Microstructure Classifier
Public Description
The Candle Microstructure Classifier is a visual study designed to highlight meaningful single-candle behaviors based purely on price geometry. It classifies candles according to body size and wick structure, helping traders visually identify moments of aggression, commitment, failed pushes, and rejection directly on the price chart.
This script is a study only. It does not generate trade signals, entries, exits, or forecasts. Its purpose is to provide structural context that can be combined with other tools such as trend, volume, or volatility analysis.
Quantitative Description
Each candle is decomposed into its geometric components relative to its total range (high − low). All classifications are based on normalized fractions to remain scale‑independent across instruments and timeframes.
Definitions:
1. Candle Range (R):
R = High − Low
2. Body Size (B):
B = |Close − Open|
Body Fraction = B / R
3. Upper Wick (UW):
UW = High − max(Open, Close)
Upper Wick Fraction = UW / R
4. Lower Wick (LW):
LW = min(Open, Close) − Low
Lower Wick Fraction = LW / R
Candle Classifications:
• Commitment Candle:
Body Fraction ≥ Large Body Threshold
Upper Wick Fraction ≤ Tiny Wick Threshold
Lower Wick Fraction ≤ Tiny Wick Threshold
Interpretation: Strong directional acceptance with minimal intrabar rejection.
• Marubozu (Aggression):
Body Fraction ≥ Large Body Threshold
One wick effectively absent (near zero)
Interpretation: Pure directional aggression with no meaningful counter‑pressure.
• Trend Attempt Failure:
Body Fraction ≥ Large Body Threshold
One wick large, opposite wick small
Interpretation: Strong push followed by immediate rejection on one side.
• Rejection Candle:
Body Fraction ≤ Small Body Threshold
Upper Wick Fraction ≥ Large Wick Threshold
Lower Wick Fraction ≥ Large Wick Threshold
Interpretation: Two‑sided rejection indicating price discovery or balance.
• Pin Rejection (optional):
Body Fraction ≤ Small Body Threshold
Only one wick large
Interpretation: One‑sided rejection often occurring near support or resistance.
Notes and Context
This classifier intentionally avoids pattern names tied to prediction. Each classification describes observed auction behavior inside a single bar, not an expectation of future movement.
Sources and Further Reading
Candle structure and wick interpretation:
• Investopedia – Candlestick Patterns and Anatomy
www.investopedia.com
Volume and volatility context examples:
• Wyckoff Method – Effort vs Result (Volume + Price Structure)
school.stockcharts.com
• CME Group – Using Volume and Volatility Together
www.cmegroup.com
Example Applications:
1. A commitment candle occurring simultaneously with a volume spike may indicate institutional participation and acceptance at that price level.
2. A rejection candle forming during elevated volatility (ATR expansion) may signal failed price discovery and potential mean reversion zones.
previous day/week high and lowsThis scrip plots the previous day high and lows, pre market high and lows, previous week high and low.
Hurst ALMA Tuned Chandelier Exit Hurst × ALMA Tuned Chandelier Exit (HurstALMA-CE)
Public Description
Hurst × ALMA Tuned Chandelier Exit (HurstALMA-CE) is an adaptive trend‑following stop and exit indicator. It combines a smoothed price input (ALMA), a regime detector based on the Hurst exponent, and a dynamically tuned Chandelier Exit to automatically adjust its behavior between choppy and trending market conditions.
Instead of using a single fixed Chandelier configuration, the indicator continuously measures whether price action is behaving more like noise or a persistent trend. In choppy markets, it becomes more conservative by using shorter lookbacks and wider ATR multiples to reduce whipsaws. In trending markets, it tightens the stop and extends the lookback to better lock in gains while staying aligned with the trend.
The result is a regime‑aware trailing exit that adapts in real time, helping traders stay in strong trends longer while avoiding over‑sensitivity during sideways price action. HurstALMA‑CE can be used as a visual trailing stop, a trend confirmation overlay, or as an exit engine inside discretionary or systematic strategies.
Quantitative Description
1. Input Series
Price is optionally pre‑filtered using an Arnaud Legoux Moving Average (ALMA), defined by length, offset, and sigma parameters. This smoothed series is used as the input to the Hurst estimator to reduce high‑frequency noise.
2. Hurst Exponent Proxy
The indicator estimates the Hurst exponent using a variance‑scaling method. For fixed lags (8, 16, 32, 64), price differences are computed and their variances are measured over a rolling lookback window. A log‑log regression of variance versus lag produces a slope, which is mapped to a Hurst estimate via:
H ≈ 0.5 × slope.
The raw estimate is smoothed using an EMA to improve stability.
3. Regime Weight Mapping
The smoothed Hurst value is linearly mapped into a normalized weight w ∈ using user‑defined low‑H (choppy) and high‑H (trending) thresholds. Values below the low threshold map to w = 0, values above the high threshold map to w = 1.
4. Adaptive Chandelier Parameters
The Chandelier Exit length and ATR multiplier are interpolated between two parameter sets:
• Chop regime (shorter length, wider multiplier)
• Trend regime (longer length, tighter multiplier)
Interpolation is performed as:
CE_len = CE_len_chop + w × (CE_len_trend − CE_len_chop)
CE_mult = CE_mult_chop + w × (CE_mult_trend − CE_mult_chop)
Before sufficient data is available for the Hurst calculation, fallback Chandelier parameters are used.
5. Output
The final output consists of long and short Chandelier Exit levels computed using the dynamically tuned parameters. Optional status values expose the current Hurst estimate, regime weight, and active Chandelier settings for diagnostics and strategy development.
Liquidity Sweep Reentry ToolkitHere’s a clear breakdown of what your Liquidity Sweep Reentry Toolkit script does, and how you can use it on your charts:
🔎 Script Breakdown
1. Visual Controls (Inputs)
• : Master toggle to turn all visuals on/off.
• : Show labels when a liquidity sweep + ChoCh condition occurs.
• : Plot green/red triangles for bullish/bearish reentry signals.
• : Prevent multiple signals within the same swing.
• : Show HH/HL/LL/LH market structure letters.
• : Slider to adjust how dim the background of HH/HL/LL/LH labels appear.
2. Core Conditions
• Defines simple bullish () and bearish () candles.
• is a placeholder for your Change of Character logic.
3. Sweep Detection
• : Detects when price makes a new high compared to the last 5 bars.
• : Detects when price makes a new low compared to the last 5 bars.
4. Restriction Flags
• Tracks whether a sweep signal has already triggered in the current swing.
• Resets when sweeps end, so new signals can appear.
5. Composite Triggers
• : Fires when bullish candle + buy-side sweep + ChoCh condition align.
• : Fires when bearish candle + sell-side sweep + ChoCh condition align.
6. Visual Labels
• Gold labels mark “BS Sweep + ChoCh” or “SS Sweep + ChoCh” events.
• Green triangle below bar = bullish reentry.
• Red triangle above bar = bearish reentry.
• Blue HH/HL/LL/LH labels narrate market structure pivots, with adjustable transparency.
7. Alerts
• Alerts can be set for bullish or bearish sweep reentry triggers, so you get notified when conditions align.
📘 How to Use It
1. Apply to Chart
Add the script to your TradingView chart (works best on intraday timeframes like 5‑minute).
2. Configure Visuals
• Use the Visual Controls panel to toggle features on/off.
• Adjust the Label Transparency slider to dim or brighten the HH/HL/LL/LH labels.
3. Interpret Signals
• Gold labels show when a sweep + ChoCh condition occurs.
• Triangles mark potential reentry points (green = bullish, red = bearish).
• HH/HL/LL/LH labels narrate market structure shifts for clarity.
4. Set Alerts
• Use the built‑in alert conditions to get notified when bullish or bearish sweep reentry triggers fire.
👉 In short: this toolkit helps you spot liquidity sweeps, confirm with ChoCh, and visualize reentry signals, while also narrating market structure pivots. It’s modular, so you can toggle features depending on how much visual clutter you want.
🛠 Workflow Example
1. Setup
• Apply the script to your chart (e.g., 5‑minute S&P futures).
• In the indicator settings, decide which visuals you want:
• Turn on Sweep + ChoCh labels if you want to see gold tags narrating liquidity events.
• Keep Entry triangles on to highlight actionable reentry points.
• Adjust the Label Transparency slider so HH/HL/LL/LH structure labels are dim enough not to clutter.
2. Watch for Sweeps
• As price pushes above recent highs → a Buy‑side Sweep is detected.
• As price dips below recent lows → a Sell‑side Sweep is detected.
• If ChoCh logic is true at the same time, you’ll see a gold label (“BS Sweep + ChoCh” or “SS Sweep + ChoCh”).
3. Confirm Reentry
• If conditions align (bullish candle + buy‑side sweep + ChoCh), you’ll see a green triangle below the bar.
• If bearish candle + sell‑side sweep + ChoCh, you’ll see a red triangle above the bar.
• These triangles are your potential reentry triggers.
4. Narrate Market Structure
• HH/HL/LL/LH labels appear at pivots, giving you a running commentary of structure shifts.
• Example: HH → HL → HH shows bullish continuation; LH → LL → LH shows bearish pressure.
• Use the transparency slider to keep these labels subtle but visible.
5. Alerts
• Set alerts for “Bullish Sweep Reentry” or “Bearish Sweep Reentry” so you don’t miss signals even if you’re away from the screen.
📘 How to Use in Practice
• Intraday trading: On a 5‑minute chart, use the toolkit to spot liquidity grabs and confirm reentry points.
• Narration: The HH/HL/LL/LH labels help you keep track of structure without manually marking pivots.
• Decision making: Gold labels + triangles = potential trade setups. Structure labels = context for trend bias.
• Customization: Dim labels when you want a cleaner chart, brighten them when you’re focused on structure.
👉 In short: this script gives you a modular toolkit — sweeps, ChoCh confirmation, reentry signals, and structure narration — all adjustable so you can tailor the visuals to your workflow.
📈 Bullish Scenario Walkthrough
1. Market Context
• You’re watching the 5‑minute chart.
• Price has been consolidating near recent highs, building liquidity above.
2. Liquidity Sweep
• Price spikes above the prior swing high → the script detects a buy‑side sweep.
• A gold label appears: “BS Sweep + ChoCh” (if your ChoCh condition is true).
3. Change of Character (ChoCh)
• The candle closes bullish ().
• Your ChoCh condition confirms a structural shift.
• Together, sweep + ChoCh = potential reentry setup.
4. Reentry Trigger
• The script plots a green triangle below the bar.
• This marks a bullish sweep reentry signal: price grabbed liquidity and is now showing strength.
5. Market Structure Narration
• At the same time, the HH/HL labels update:
• The sweep bar prints a new HH.
• The next pivot low prints an HL.
• This narrates bullish continuation: HH → HL → HH.
6. Trade Decision
• You can use the green triangle as your entry cue.
• The HH/HL narration gives you confidence that structure supports the trade.
• Alerts can be set so you don’t miss the trigger.
7. Risk Management
• Stop placement: below the HL pivot or sweep low.
• Target: next liquidity pool above, or measured move.
🧭 How to Use This in Practice
• Gold label = liquidity event + ChoCh confirmation.
• Green triangle = actionable bullish reentry trigger.
• HH/HL narration = context for trend bias and trade management.
• Transparency slider = keep structure labels subtle so the chart stays clean.
📉 Bearish Scenario Walkthrough
1. Market Context
• You’re watching the 5‑minute chart.
• Price has been consolidating near recent lows, building liquidity underneath.
2. Liquidity Sweep
• Price spikes below the prior swing low → the script detects a sell‑side sweep.
• A gold label appears: “SS Sweep + ChoCh” (if your ChoCh condition is true).
3. Change of Character (ChoCh)
• The candle closes bearish ().
• Your ChoCh condition confirms a structural shift.
• Together, sweep + ChoCh = potential bearish reentry setup.
4. Reentry Trigger
• The script plots a red triangle above the bar.
• This marks a bearish sweep reentry signal: price grabbed liquidity below and is now showing weakness.
5. Market Structure Narration
• At the same time, the LH/LL labels update:
• The sweep bar prints a new LL.
• The next pivot high prints a LH.
• This narrates bearish continuation: LH → LL → LH.
6. Trade Decision
• You can use the red triangle as your entry cue.
• The LH/LL narration gives you confidence that structure supports the short.
• Alerts can be set so you don’t miss the trigger.
7. Risk Management
• Stop placement: above the LH pivot or sweep high.
• Target: next liquidity pool below, or measured move.
🧭 How to Use This in Practice
• Gold label = liquidity event + ChoCh confirmation.
• Red triangle = actionable bearish reentry trigger.
• LH/LL narration = context for trend bias and trade management.
• Transparency slider = keep structure labels subtle so the chart stays clean.
Gold Levels MTF
// ────────────────────────────────────────────────────────────────────────────────
// GOLD LEVELS MTF - COMPLETE INDICATOR DESCRIPTION
// ────────────────────────────────────────────────────────────────────────────────
//
// DESCRIPTION:
// Gold Levels MTF is a professional technical indicator that analyzes asset price
// movement and displays support and resistance levels from all timeframes (Daily,
// Weekly, Monthly) using the Murray Math method based on Gann theory.
//
// MAIN FEATURES:
// 1. Multi-timeframe analysis - displays levels from Daily, Weekly, and Monthly timeframes
// 2. Automatic Murray Math level calculation (9 levels: 0/8 to 8/8)
// 3. Visual indication of level strength through colors and line styles
// 4. Level labels for easy identification
// 5. Automatic recalculation when volatility changes
//
// LEVEL TYPES:
//
// Extreme Overshoot (0/8 and 8/8) - Red color, solid line
// Final support/resistance. After price breaks through these levels, the indicator
// automatically recalculates and sets new levels.
//
// Overshoot (1/8 and 7/8) - Orange color, dotted line
// Weak level. If price has moved too far and stops near this level, it will reverse
// quickly. If it doesn't stop, it will continue moving.
//
// SUP/RES (2/8 and 6/8) - Blue color, solid line
// Strongest support and resistance levels. Provide the strongest resistance and
// support. Key levels for trading.
//
// Stop & Reverse (3/8 and 5/8) - Yellow color, dotted line
// Weak level. If price has moved too far and stops near this level, it will reverse
// quickly in the opposite direction.
//
// PIVOT (4/8) - Purple color, solid line
// Main support/resistance level. Provides the strongest resistance/support. This is
// the best level for new buy or sell entries.
//
// HOW TO USE:
//
// 1. SETTINGS:
// - Enable/disable desired timeframes (Daily, Weekly, Monthly)
// - Enable level labels for easy identification
// - Adjust line thickness to your preference
//
// 2. TRADING:
// - PIVOT (4/8) - main level for position entry
// - SUP/RES (2/8, 6/8) - strong levels for placing stop-losses and take-profits
// - Extreme Overshoot (0/8, 8/8) - levels for identifying trend reversal
// - Use combination of levels from different timeframes to confirm signals
//
// 3. INTERPRETATION:
// - Price above PIVOT - potentially bullish trend
// - Price below PIVOT - potentially bearish trend
// - Bounce from SUP/RES levels - strong signal for entry
// - Breakthrough of Extreme Overshoot - possible trend change
//
// ADVANTAGES:
// - High accuracy in determining support and resistance levels
// - Multi-timeframe analysis for better understanding of the overall picture
// - Automatic recalculation when market conditions change
// - Visual indication of level strength
// - Easy to use and interpret
//
// TECHNICAL DETAILS:
// - Calculation method based on Gann theory and Murray mathematics
// - Octave is calculated as a power of two from the price range
// - Levels are divided into 8 equal parts (0/8 to 8/8)
// - Previous period data is used for calculation stability
//






















