DZDZ – Pivot Demand Zones + Trend Filter + Breadth Override + SL is a structured accumulation indicator built to identify high-probability demand areas after valid pullbacks.
The script creates **Demand Zones (DZ)** by pairing **pivot troughs (local lows)** with later **pivot peaks (local highs)**, requiring a minimum **ATR (Average True Range)** gap to confirm real price displacement. Zones are drawn only when market structure confirms strength through a **trend filter** (a required number of higher highs over a recent window) or a **breadth override**, which activates after unusually large expansion candles measured as a percentage move from the prior close.
In addition to pivots, the script detects **coiling price action**—tight trading ranges contained within an ATR band—and treats these as alternative demand bases.
Entries require price to penetrate a defined depth into the zone, preventing shallow reactions. After the first valid entry, a **DCA (Dollar-Cost Averaging)** system adds buys every 10 bars while trend or breadth conditions persist. A **ratcheting SL (Stop-Loss)** tightens upward only, using demand structure or ATR when zones are unavailable.
The focus is disciplined, volatility-aware accumulation aligned with structure.
Indicadores y estrategias
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.
MP SESSIONS, DST, OTTMP SESSIONS, DST, OTT – What this indicator does
This script is a multi-session market timing tool that:
Draws full trading sessions on the chart (Asia, Sydney, Tokyo, Shanghai, Europe, London, New York, NYSE)
Automatically adjusts for Daylight Saving Time (DST) for Sydney, London, and New York
Shows a live info table with session times, DST status, and whether each session is currently open or closed
Adds optional custom “OTT” vertical lines at user-defined intraday times (for your own models, killzones, or time blocks)
Main Features (high level)
1. Market mode & time zone handling
Market Mode:
Forex
Stock
User Custom (you type your own session ranges)
TFlab suggestion (predefined “optimized” session times)
Time Zone Mode:
UTC
Session Local Time (local exchange time: Sydney, Tokyo, London, New York etc.)
Your Time Zone (converts to the user-selected TZ, e.g. UTC-4:00)
Handles separate time zones for:
Asia, Sydney, Tokyo, Shanghai, Europe, London, New York, NYSE
Has logic to recalculate session start/end depending on DST and the chosen mode.
2. Daylight Saving Time (DST) engine
The function DST_Detector:
Calculates when DST starts and ends for:
Australia/Sydney
Europe/London
America/New_York
Detects the correct Sunday (2nd, 4th, etc.) for start/end using day-of-week and week counts.
Returns 'Active' or 'Inactive' for each region.
These values are then used to shift the sessions (e.g. New York 13:00–21:00 vs 12:00–20:00 in UTC).
The script can also draw vertical lines on the chart when DST starts/ends and label them:
“Sydney DST Started / Ended”
“London DST Started / Ended”
“New York DST Started / Ended”
3. Session timing & sessions on the chart
The function Market_TimeZone_Calculator:
Based on Market Mode + Time Zone Mode + DST state, it returns:
Time ranges for: Sydney, Tokyo, Shanghai, Asia (combined), Europe, London, New York, NYSE
These ranges are in "HHMM-HHMM" format.
Then the script:
Converts these to time() conditions using the proper time zone
Creates boolean series like On_sesAsia, On_sesEurope, On_sesNewYork, etc., which are 1 when the session is open and 0 when closed.
4. Session high/low boxes & labels
The function LowHighSessionDetector:
Tracks high and low of each session while it’s active.
When a new session starts:
Resets and starts recording the session high/low.
While session is active:
Updates High with the max of current bar high and previous session high.
Updates Low with the min of current bar low and previous session low.
When the session is "on":
Draws a box from session low to high (box.new) and extends it to the right as long as the session continues.
Places a label with session name (Asia, London, New York, etc.) near the high:
Style depends on the session (down/right/left).
You have visibility toggles per session:
Asia Session, Sydney Session, Tokyo Session, Shanghai Session, Europe Session, London Session, New York Session, NYSE (for TFlab mode).
So you visually see:
A shaded box for each session
The full H/L range for that session
A text label with the session name.
5. Info table
The indicator builds a table in a corner of the chart showing:
Header:
“FOREX Session”, “Stock Market Trading Hours”, “User Custom Session”, or “TFlab suggestion” depending on mode.
Columns:
Session name (Asia, Sydney, Tokyo, Shanghai, Europe, London, New York, NYSE)
DST status for that region (“Active 🌞 / Inactive 🍂 / Not Observed”)
Session start time
Session end time
Current status (“Open / Closed”, with green/red background)
The function SplitFunction:
Parses the "HHMM-HHMM" strings for each session.
Converts them into:
Either raw times (if viewing in UTC/session local)
Or converted times in Your Time Zone using timestamp and hour/ minute with YourTZ.
Returns formatted Start and End strings like 9:30, 13:00, etc.
So the table is effectively a live session schedule that:
Auto-adjusts to DST
Can show times in your own time zone
Shows which session is open right now.
6. OTT vertical lines (custom intraday markers)
At the bottom, there is an OTT section which lets you draw up to three sets of vertical lines at specific times:
Each OTT block has:
Enable toggle (Enable OTT 1/2/3)
Start hour & minute
End hour & minute
Color
Global OTT settings:
Line style: Solid / Dashed / Dotted
Line width
Toggle: “Show OTT Labels?”
Logic:
is_ott_time() checks if current bar’s hour and minute match the OTT input time.
draw_ott():
When the bar time matches, draws a vertical line through the candle from low to high (extend.both).
Optionally adds a label above the bar, like "OTT1 Start", "OTT1 End", etc.
Use cases:
Marking open/close of your trading session
Defining killzones, news times, or custom model windows
Visual anchors for your intraday routine (NY open, 10 AM candle, etc.)
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
Renko Average Bricks This indicator calculates the average RENKO brick streaks. Streaks=consecutive bricks of the same color. EX. G= 1 streak of 1. GGG = 1 streak of 3. RR 1 streak of 2. Single bricks count. There is the option for look back period which can be changed but Defaults to 50. Calculates the last 50 completed green streaks and then averages them. Same with red streaks. Only closed bricks count.
Very Simple and can be used for targets, ect.
Cheers
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.
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
Index Construction Tool🙏🏻 The most natural mathematical way to construct an index || portfolio, based on contraharmonic mean || contraharmonic weighting. If you currently traded assets do not satisfy you, why not make your own ones?
Contraharmonic mean is literally a weighted mean where each value is weighted by itself.
...
Now let me explain to you why contraharmonic weighting is really so fundamental in two ways: observation how the industry (prolly unknowably) converged to this method, and the real mathematical explanation why things are this way.
How it works in the industry.
In indexes like TVC:SPX or TVC:DJI the individual components (stocks) are weighted by market capitalization. This market cap is made of two components: number of shares outstanding and the actual price of the stock. While the number of shares holds the same over really long periods of time and changes rarely by corporate actions , the prices change all the time, so market cap is in fact almost purely based on prices itself. So when they weight index legs by market cap, it really means they weight it by stock prices. That’s the observation: even tho I never dem saying they do contraharmonic weighting, that’s what happens in reality.
Natural explanation
Now the main part: how the universe works. If you build a logical sequence of how information ‘gradually’ combines, you have this:
Suppose you have the one last datapoint of each of 4 different assets;
The next logical step is to combine these datapoints somehow in pairs. Pairs are created only as ratios , this reveals relationships between components, this is the only step where these fundamental operations are meaningful, they lose meaning with 3+ components. This way we will have 16 pairs: 4 of them would be 1s, 6 real ratios, and 6 more inverted ratios of these;
Then the next logical step is to combine all the pairs (not the initial single assets) all together. Naturally this is done via matrices, by constructing a 4x4 design matrix where each cell will be one of these 16 pairs. That matrix will have ones in the main diagonal (because these would be smth like ES/ES, NQ/NQ etc). Other cells will be actual ratios, like ES/NQ, RTY/YM etc;
Then the native way to compress and summarize all this structure is to do eigendecomposition . The only eigenvector that would be meaningful in this case is the principal eigenvector, and its loadings would be what we were hunting for. We can multiply each asset datapoint by corresponding loading, sum them up and have one single index value, what we were aiming for;
Now the main catch: turns out using these principal eigenvector loadings mathematically is Exactly the same as simply calculating contraharmonic weights of those 4 initial assets. We’re done here.
For the sceptics, no other way of constructing the design matrix other than with ratios would result in another type of a defined mean. Filling that design matrix with ratios Is the only way to obtain a meaningful defined mean, that would also work with negative numbers. I’m skipping a couple of details there tbh, but they don’t really matter (we don’t need log-space, and anyways the idea holds even then). But the core idea is this: only contraharmonic mean emerges there, no other mean ever does.
Finally, how to use the thing:
Good news we don't use contraharmonic mean itself because we need an internals of it: actual weights of components that make this contraharmonic mean, (so we can follow it with our position sizes). This actually allows us to also use these weights but not for addition, but for subtraction. So, the script has 2 modes (examples would follow):
Addition: the main one, allows you to make indexes, portfolios, baskets, groups, whatever you call it. The script will simply sum the weighted legs;
Subtraction: allows you to make spreads, residual spreads etc. Important: the script will subtract all the symbols From the first one. So if the first we have 3 symbols: YM, ES, RTY, the script will do YM - ES - RTY, weights would be applied to each.
At the top tight corner of the script you will see a lil table with symbols and corresponding weights you wanna trade: these are ‘already’ adjusted for point value of each leg, you don’t need to do anything, only scale them all together to meet your risk profile.
Symbols have to be added the way the default ones are added, one line : one symbol.
Pls explore the script’s Style setting:
You can pick a visualization method you like ! including overlays on the main chart pane !
Script also outputs inferred volume delta, inferred volume and inferred tick count calculated with the same method. You can use them in further calculations.
...
Examples of how you can use it
^^ Purple dotted line: overlay from ICT script, turned on in Style settings, the contraharmonic mean itself calculated from the same assets that are on the chart: CME_MINI:RTY1! , CME_MINI:ES1! , CME_MINI:NQ1! , CBOT_MINI:YM1!
^^ precious metals residual spread ( COMEX:GC1! COMEX:SI1! NYMEX:PL1! )
^^ CBOT:ZC1! vs CBOT:ZW1! grain spread
^^ BDI (Bid Dope Index), constructed from: NYSE:MO , NYSE:TPB , NYSE:DGX , NASDAQ:JAZZ , NYSE:IIPR , NASDAQ:CRON , OTC:CURLF , OTC:TCNNF
^^ NYMEX:CL1! & ICEEUR:BRN1! basket
^^ resulting index price, inferred volume delta, inferred volume and inferred tick count of CME_MINI:NQ1! vs CME_MINI:ES1! spread
...
Synthetic assets is the whole new Universe you can jump into and never look back, if this is your way
...
∞
ICT Immediate RebalanceThe ICT Concept, whereby as soon as it is created, the price makes a strong movement in its favor, requires two "Wicks" to coincide at the same level or for there to be an overlap of no more than 2 Pips, a function that this Indicator fulfills to detect them.
Market Regime# MARKET REGIME IDENTIFICATION & TRADING SYSTEM
## Complete User Guide
---
## 📋 TABLE OF CONTENTS
1. (#overview)
2. (#regimes)
3. (#indicator-usage)
4. (#entry-signals)
5. (#exit-signals)
6. (#regime-strategies)
7. (#confluence)
8. (#backtesting)
9. (#optimization)
10. (#examples)
---
## OVERVIEW
### What This System Does
This is a **complete market regime identification and trading system** that:
1. **Identifies 6 distinct market regimes** automatically
2. **Adapts trading tactics** to each regime
3. **Provides high-probability entry signals** with confluence scoring
4. **Shows optimal exit points** for each trade
5. **Can be backtested** to validate performance
### Two Components Provided
1. **Indicator** (`market_regime_indicator.pine`)
- Visual regime identification
- Entry/exit signals on chart
- Dynamic support/resistance
- Info tables with live data
- Use for manual trading
2. **Strategy** (`market_regime_strategy.pine`)
- Fully automated backtestable version
- Same logic as indicator
- Position sizing and risk management
- Performance metrics
- Use for backtesting and automation
---
## THE 6 MARKET REGIMES
### 1. 🟢 BULL TRENDING
**Characteristics:**
- Strong uptrend
- Price above SMA50 and SMA200
- ADX > 25 (strong trend)
- Higher highs and higher lows
- DI+ > DI- (bullish momentum)
**What It Means:**
- Market has clear upward direction
- Buyers in control
- Pullbacks are buying opportunities
- Strongest regime for long positions
**How to Trade:**
- ✅ **BUY dips to EMA20 or SMA20**
- ✅ Enter when RSI < 60 on pullback
- ✅ Hold through minor corrections
- ❌ Don't short against the trend
- ❌ Don't sell too early
**Expected Behavior:**
- Pullbacks are shallow (5-10%)
- Bounces are strong
- Support at moving averages holds
- Volume increases on rallies
---
### 2. 🔴 BEAR TRENDING
**Characteristics:**
- Strong downtrend
- Price below SMA50 and SMA200
- ADX > 25 (strong trend)
- Lower highs and lower lows
- DI- > DI+ (bearish momentum)
**What It Means:**
- Market has clear downward direction
- Sellers in control
- Rallies are selling opportunities
- Strongest regime for short positions
**How to Trade:**
- ✅ **SELL rallies to EMA20 or SMA20**
- ✅ Enter when RSI > 40 on bounce
- ✅ Hold through minor bounces
- ❌ Don't buy against the trend
- ❌ Don't cover shorts too early
**Expected Behavior:**
- Rallies are weak (5-10%)
- Selloffs are strong
- Resistance at moving averages holds
- Volume increases on declines
---
### 3. 🔵 BULL RANGING
**Characteristics:**
- Bullish bias but consolidating
- Price near or above SMA50
- ADX < 20 (weak trend)
- Trading in range
- Choppy price action
**What It Means:**
- Uptrend is pausing
- Accumulation phase
- Support and resistance zones clear
- Lower volatility
**How to Trade:**
- ✅ **BUY at support zone**
- ✅ Enter when RSI < 40
- ✅ Take profits at resistance
- ⚠️ Smaller position sizes
- ⚠️ Tighter stops
**Expected Behavior:**
- Range-bound oscillations
- Support bounces repeatedly
- Resistance rejections common
- Eventually breaks higher (usually)
---
### 4. 🟠 BEAR RANGING
**Characteristics:**
- Bearish bias but consolidating
- Price near or below SMA50
- ADX < 20 (weak trend)
- Trading in range
- Choppy price action
**What It Means:**
- Downtrend is pausing
- Distribution phase
- Support and resistance zones clear
- Lower volatility
**How to Trade:**
- ✅ **SELL at resistance zone**
- ✅ Enter when RSI > 60
- ✅ Take profits at support
- ⚠️ Smaller position sizes
- ⚠️ Tighter stops
**Expected Behavior:**
- Range-bound oscillations
- Resistance holds repeatedly
- Support bounces are weak
- Eventually breaks lower (usually)
---
### 5. ⚪ CONSOLIDATION
**Characteristics:**
- No clear direction
- Range compression
- Very low ADX (< 15 often)
- Price inside tight range
- Neutral sentiment
**What It Means:**
- Market is coiling
- Building energy for next move
- Indecision between buyers/sellers
- Calm before the storm
**How to Trade:**
- ✅ **WAIT for breakout direction**
- ✅ Enter on high-volume breakout
- ✅ Direction becomes clear
- ❌ Don't trade inside the range
- ❌ Avoid choppy scalping
**Expected Behavior:**
- Narrow range
- Low volume
- False breakouts possible
- Explosive move when it breaks
---
### 6. 🟣 CHAOS (High Volatility)
**Characteristics:**
- Extreme volatility
- No clear direction
- Erratic price swings
- ATR > 2x average
- Unpredictable
**What It Means:**
- Market panic or euphoria
- News-driven moves
- Emotion dominates logic
- Highest risk environment
**How to Trade:**
- ❌ **STAY OUT!**
- ❌ No positions
- ❌ Wait for stability
- ✅ Protect existing positions
- ✅ Reduce risk
**Expected Behavior:**
- Large intraday swings
- Gaps up/down
- Stop hunts
- Whipsaws
- Eventually calms down
---
## INDICATOR USAGE
### Visual Elements
#### 1. Background Colors
- **Light Green** = Bull Trending (go long)
- **Light Red** = Bear Trending (go short)
- **Light Teal** = Bull Ranging (buy dips)
- **Light Orange** = Bear Ranging (sell rallies)
- **Light Gray** = Consolidation (wait)
- **Purple** = Chaos (stay out!)
#### 2. Regime Labels
- Appear when regime changes
- Show new regime name
- Positioned at highs (bullish) or lows (bearish)
#### 3. Entry Signals
- **Green "LONG"** labels = Buy here
- **Red "SHORT"** labels = Sell here
- Number shows confluence score (X/5 signals)
- Hover for details (stop, target, RSI, etc.)
#### 4. Exit Signals
- **Orange "EXIT LONG"** = Close long position
- **Orange "EXIT SHORT"** = Close short position
- Shows exit reason in tooltip
#### 5. Support/Resistance Lines
- **Green line** = Dynamic support (buy zone)
- **Red line** = Dynamic resistance (sell zone)
- Adapts to regime automatically
#### 6. Moving Averages
- **Blue** = SMA 20 (short-term trend)
- **Orange** = SMA 50 (medium-term trend)
- **Purple** = SMA 200 (long-term trend)
### Information Tables
#### Top Right Table (Main Info)
Shows real-time market conditions:
- **Current Regime** - What regime we're in
- **Bias** - Long, Short, Breakout, or Stay Out
- **ADX** - Trend strength (>25 = strong)
- **Trend** - Strong, Moderate, or Weak
- **Volatility** - High or Normal
- **Vol Ratio** - Current vs average volatility
- **RSI** - Momentum (>70 overbought, <30 oversold)
- **vs SMA50/200** - Price position relative to MAs
- **Support/Resistance** - Exact price levels
- **Long/Short Signals** - Confluence scores (X/5)
#### Bottom Right Table (Regime Guide)
Quick reference for each regime:
- What action to take
- What strategy to use
- Color-coded for quick identification
---
## ENTRY SIGNALS EXPLAINED
### Confluence Scoring System (5 Factors)
Each entry signal is scored 0-5 based on how many factors align:
#### For LONG Entries:
1. ✅ **Regime Alignment** - In Bull Trending or Bull Ranging
2. ✅ **RSI Pullback** - RSI between 35-50 (not overbought)
3. ✅ **Near Support** - Price within 2% of dynamic support
4. ✅ **MACD Turning Up** - Momentum shifting bullish
5. ✅ **Volume Confirmation** - Above average volume
#### For SHORT Entries:
1. ✅ **Regime Alignment** - In Bear Trending or Bear Ranging
2. ✅ **RSI Rejection** - RSI between 50-65 (not oversold)
3. ✅ **Near Resistance** - Price within 2% of dynamic resistance
4. ✅ **MACD Turning Down** - Momentum shifting bearish
5. ✅ **Volume Confirmation** - Above average volume
### Confluence Requirements
**Minimum Confluence** (default = 2):
- 2/5 = Entry signal triggered
- 3/5 = Good signal
- 4/5 = Strong signal
- 5/5 = Excellent signal (rare)
**Higher confluence = Higher probability = Better trades**
### Specific Entry Patterns
#### 1. Bull Trending Entry
```
Requirements:
- Regime = Bull Trending
- Price pulls back to EMA20
- Close above EMA20 (bounce)
- Up candle (close > open)
- RSI < 60
- Confluence ≥ 2
```
#### 2. Bear Trending Entry
```
Requirements:
- Regime = Bear Trending
- Price rallies to EMA20
- Close below EMA20 (rejection)
- Down candle (close < open)
- RSI > 40
- Confluence ≥ 2
```
#### 3. Bull Ranging Entry
```
Requirements:
- Regime = Bull Ranging
- RSI < 40 (oversold)
- Price at or below support
- Up candle (reversal)
- Confluence ≥ 1 (more lenient)
```
#### 4. Bear Ranging Entry
```
Requirements:
- Regime = Bear Ranging
- RSI > 60 (overbought)
- Price at or above resistance
- Down candle (rejection)
- Confluence ≥ 1 (more lenient)
```
#### 5. Consolidation Breakout
```
Requirements:
- Regime = Consolidation
- Price breaks above/below range
- Volume > 1.5x average (explosive)
- Strong directional candle
```
---
## EXIT SIGNALS EXPLAINED
### Three Types of Exits
#### 1. Regime Change Exits (Automatic)
- **Long Exit**: Regime changes to Bear Trending or Chaos
- **Short Exit**: Regime changes to Bull Trending or Chaos
- **Reason**: Market character changed, strategy no longer valid
#### 2. Support/Resistance Break Exits
- **Long Exit**: Price breaks below support by 2%
- **Short Exit**: Price breaks above resistance by 2%
- **Reason**: Key level violated, trend may be reversing
#### 3. Momentum Exits
- **Long Exit**: RSI > 70 (overbought) AND down candle
- **Short Exit**: RSI < 30 (oversold) AND up candle
- **Reason**: Overextension, take profits
### Stop Loss & Take Profit
**Stop Loss** (Automatic in strategy):
- Placed at Entry - (ATR × 2)
- Adapts to volatility
- Protected from whipsaws
- Typically 2-4% for stocks, 5-10% for crypto
**Take Profit** (Automatic in strategy):
- Placed at Entry + (Stop Distance × R:R Ratio)
- Default 2.5:1 reward:risk
- Example: $2 risk = $5 reward target
- Allows winners to run
---
## TRADING EACH REGIME
### BULL TRENDING - Most Profitable Long Environment
**Strategy: Buy Every Dip**
**Entry Rules:**
1. Wait for pullback to EMA20 or SMA20
2. Look for RSI < 60
3. Enter when candle closes above MA
4. Confluence should be 2+
**Stop Loss:**
- Below the recent swing low
- Or 2 × ATR below entry
**Take Profit:**
- At previous high
- Or 2.5:1 R:R minimum
**Position Size:**
- Can use full size (2% risk)
- High win rate regime
**Example Trade:**
```
Price: $100, pulls back to $98 (EMA20)
Entry: $98.50 (close above EMA)
Stop: $96.50 (2 ATR)
Target: $103.50 (2.5:1)
Risk: $2, Reward: $5
```
---
### BEAR TRENDING - Most Profitable Short Environment
**Strategy: Sell Every Rally**
**Entry Rules:**
1. Wait for bounce to EMA20 or SMA20
2. Look for RSI > 40
3. Enter when candle closes below MA
4. Confluence should be 2+
**Stop Loss:**
- Above the recent swing high
- Or 2 × ATR above entry
**Take Profit:**
- At previous low
- Or 2.5:1 R:R minimum
**Position Size:**
- Can use full size (2% risk)
- High win rate regime
**Example Trade:**
```
Price: $100, rallies to $102 (EMA20)
Entry: $101.50 (close below EMA)
Stop: $103.50 (2 ATR)
Target: $96.50 (2.5:1)
Risk: $2, Reward: $5
```
---
### BULL RANGING - Buy Low, Sell High
**Strategy: Range Trading (Long Bias)**
**Entry Rules:**
1. Wait for price at support zone
2. Look for RSI < 40
3. Enter on reversal candle
4. Confluence should be 1-2+
**Stop Loss:**
- Below support zone
- Tighter than trending (1.5 ATR)
**Take Profit:**
- At resistance zone
- Don't hold through resistance
**Position Size:**
- Reduce to 1-1.5% risk
- Lower win rate than trending
**Example Trade:**
```
Range: $95-$105
Entry: $96 (at support, RSI 35)
Stop: $94 (below support)
Target: $104 (at resistance)
Risk: $2, Reward: $8 (4:1)
```
---
### BEAR RANGING - Sell High, Buy Low
**Strategy: Range Trading (Short Bias)**
**Entry Rules:**
1. Wait for price at resistance zone
2. Look for RSI > 60
3. Enter on rejection candle
4. Confluence should be 1-2+
**Stop Loss:**
- Above resistance zone
- Tighter than trending (1.5 ATR)
**Take Profit:**
- At support zone
- Don't hold through support
**Position Size:**
- Reduce to 1-1.5% risk
- Lower win rate than trending
**Example Trade:**
```
Range: $95-$105
Entry: $104 (at resistance, RSI 65)
Stop: $106 (above resistance)
Target: $96 (at support)
Risk: $2, Reward: $8 (4:1)
```
---
### CONSOLIDATION - Wait for Breakout
**Strategy: Breakout Trading**
**Entry Rules:**
1. Identify consolidation range
2. Wait for VOLUME SURGE (1.5x+ avg)
3. Enter on close outside range
4. Direction must be clear
**Stop Loss:**
- Opposite side of range
- Or 2 ATR
**Take Profit:**
- Measure range height, project it
- Example: $10 range = $10 move expected
**Position Size:**
- Reduce to 1% risk
- 50% false breakout rate
**Example Trade:**
```
Consolidation: $98-$102 (4-point range)
Breakout: $102.50 (high volume)
Entry: $103
Stop: $100 (back in range)
Target: $107 (4-point range projected)
Risk: $3, Reward: $4
```
---
### CHAOS - STAY OUT!
**Strategy: Preservation**
**What to Do:**
- ❌ NO new positions
- ✅ Close existing positions if near entry
- ✅ Tighten stops on profitable trades
- ✅ Reduce position sizes dramatically
- ✅ Wait for regime to stabilize
**Why It's Dangerous:**
- Stop hunts are common
- Whipsaws everywhere
- News-driven volatility
- No technical reliability
- Even "perfect" setups fail
**When Does It End:**
- Volatility ratio drops < 1.5
- ADX starts rising (direction appears)
- Price respects support/resistance again
- Usually 1-5 days
---
## CONFLUENCE SYSTEM
### How It Works
The system scores each potential entry on 5 factors. More factors aligning = higher probability.
### Confluence Requirements by Regime
**Trending Regimes** (strictest):
- Minimum 2/5 required
- 3/5 = Good
- 4-5/5 = Excellent
**Ranging Regimes** (moderate):
- Minimum 1-2/5 required
- 2/5 = Good
- 3+/5 = Excellent
**Consolidation** (breakout only):
- Volume is most critical
- Direction confirmation
- Less confluence needed
### Adjusting Minimum Confluence
**If too few signals:**
- Lower from 2 to 1
- More trades, lower quality
**If too many false signals:**
- Raise from 2 to 3
- Fewer trades, higher quality
**Recommendation:**
- Start at 2
- Adjust based on win rate
- Aim for 55-65% win rate
---
## STRATEGY BACKTESTING
### Loading the Strategy
1. Copy `market_regime_strategy.pine`
2. Open Pine Editor in TradingView
3. Paste and "Add to Chart"
4. Strategy Tester tab opens at bottom
### Initial Settings
```
Risk Per Trade: 2%
ATR Stop Multiplier: 2.0
Reward:Risk Ratio: 2.5
Trade Longs: ✓
Trade Shorts: ✓
Trade Trending Only: ✗ (test both)
Avoid Chaos: ✓
Minimum Confluence: 2
```
### What to Look For
**Good Results:**
- Win Rate: 50-60%
- Profit Factor: 1.8-2.5
- Net Profit: Positive
- Max Drawdown: <20%
- Consistent equity curve
**Warning Signs:**
- Win Rate: <45% (too many losses)
- Profit Factor: <1.5 (barely profitable)
- Max Drawdown: >30% (too risky)
- Erratic equity curve (unstable)
### Testing Different Regimes
**Test 1: Trending Only**
```
Trade Trending Only: ✓
Result: Higher win rate, fewer trades
```
**Test 2: All Regimes**
```
Trade Trending Only: ✗
Result: More trades, potentially lower win rate
```
**Test 3: Long Only**
```
Trade Longs: ✓
Trade Shorts: ✗
Result: Works in bull markets
```
**Test 4: Short Only**
```
Trade Longs: ✗
Trade Shorts: ✓
Result: Works in bear markets
```
---
## SETTINGS OPTIMIZATION
### Key Parameters to Adjust
#### 1. Risk Per Trade (Most Important)
- **0.5%** = Very conservative
- **1.0%** = Conservative (recommended for beginners)
- **2.0%** = Moderate (recommended)
- **3.0%** = Aggressive
- **5.0%** = Very aggressive (not recommended)
**Impact:** Higher risk = higher returns BUT bigger drawdowns
#### 2. Reward:Risk Ratio
- **2:1** = More wins needed, hit target faster
- **2.5:1** = Balanced (recommended)
- **3:1** = Fewer wins needed, hold longer
- **4:1** = Very patient, best in trending
**Impact:** Higher R:R = can have lower win rate
#### 3. Minimum Confluence
- **1** = More signals, lower quality
- **2** = Balanced (recommended)
- **3** = Fewer signals, higher quality
- **4** = Very selective
- **5** = Almost never triggers
**Impact:** Higher = fewer but better trades
#### 4. ADX Thresholds
- **Trending: 20-30** (default 25)
- Lower = detect trends earlier
- Higher = only strong trends
- **Ranging: 15-25** (default 20)
- Lower = identify ranging earlier
- Higher = only weak trends
#### 5. Trend Period (SMA)
- **20-50** = Short-term trends
- **50** = Medium-term (default, recommended)
- **100-200** = Long-term trends
**Impact:** Longer period = slower regime changes, more stable
### Optimization Workflow
**Step 1: Baseline**
- Use all default settings
- Test on 3+ years
- Record: Win Rate, PF, Drawdown
**Step 2: Risk Optimization**
- Test 1%, 1.5%, 2%, 2.5%
- Find best risk-adjusted return
- Balance profit vs drawdown
**Step 3: R:R Optimization**
- Test 2:1, 2.5:1, 3:1
- Check which maximizes profit factor
- Consider holding time
**Step 4: Confluence Optimization**
- Test 1, 2, 3
- Find sweet spot for win rate
- Aim for 55-65% win rate
**Step 5: Regime Filter**
- Test with/without trend filter
- Test with/without chaos filter
- Find what works for your asset
---
## REAL TRADING EXAMPLES
### Example 1: Bull Trending - SPY
**Setup:**
- Regime: BULL TRENDING
- Price pulls back from $450 to $445
- EMA20 at $444
- RSI drops to 45
- Confluence: 4/5
**Entry:**
- Price closes at $445.50 (above EMA20)
- LONG signal appears
- Enter at $445.50
**Risk Management:**
- Stop: $443 (2 ATR = $2.50)
- Target: $451.75 (2.5:1 = $6.25)
- Risk: $2.50 per share
- Position: 80 shares (2% of $10k = $200 risk)
**Outcome:**
- Price rallies to $452 in 3 days
- Target hit
- Profit: $6.50 × 80 = $520
- Return: 2.6 × risk (excellent)
---
### Example 2: Bear Ranging - AAPL
**Setup:**
- Regime: BEAR RANGING
- Range: $165-$175
- Price rallies to $174
- Resistance at $175
- RSI at 68
- Confluence: 3/5
**Entry:**
- Rejection candle at $174
- SHORT signal appears
- Enter at $173.50
**Risk Management:**
- Stop: $176 (above resistance)
- Target: $166 (support)
- Risk: $2.50
- Position: 80 shares
**Outcome:**
- Price drops to $167 in 2 days
- Target hit
- Profit: $6.50 × 80 = $520
- Return: 2.6 × risk
---
### Example 3: Consolidation Breakout - BTC
**Setup:**
- Regime: CONSOLIDATION
- Range: $28,000 - $30,000
- Compressed for 2 weeks
- Volume declining
**Breakout:**
- Price breaks $30,000
- Volume surges 200%
- Close at $30,500
- LONG signal
**Entry:**
- Enter at $30,500
**Risk Management:**
- Stop: $29,500 (back in range)
- Target: $32,000 (range height = $2k)
- Risk: $1,000
- Position: 0.2 BTC ($200 risk on $10k)
**Outcome:**
- Price runs to $33,000
- Target exceeded
- Profit: $2,500 × 0.2 = $500
- Return: 2.5 × risk
---
### Example 4: Avoiding Chaos - Tesla
**Setup:**
- Regime: BULL TRENDING
- LONG position from $240
- Elon tweets something crazy
- Regime changes to CHAOS
**Action:**
- EXIT signal appears
- Close position immediately
- Current price: $242 (small profit)
**Outcome:**
- Next 3 days: wild swings
- High $255, Low $230
- By staying out, avoided:
- Potential stop out
- Whipsaw losses
- Stress
**Result:**
- Small profit preserved
- Capital protected
- Re-enter when regime stabilizes
---
## ALERTS SETUP
### Available Alerts
1. **Bull Trending Regime** - Market goes bullish
2. **Bear Trending Regime** - Market goes bearish
3. **Chaos Regime** - High volatility, stay out
4. **Long Entry Signal** - Buy opportunity
5. **Short Entry Signal** - Sell opportunity
6. **Long Exit Signal** - Close long
7. **Short Exit Signal** - Close short
### How to Set Up
1. Click **⏰ (Alert)** icon in TradingView
2. Select **Condition**: Choose indicator + alert type
3. **Options**: Popup, Email, Webhook, etc.
4. **Message**: Customize notification
5. Click **Create**
### Recommended Alert Strategy
**For Active Traders:**
- Long Entry Signal
- Short Entry Signal
- Long Exit Signal
- Short Exit Signal
**For Position Traders:**
- Bull Trending Regime (enter longs)
- Bear Trending Regime (enter shorts)
- Chaos Regime (exit all)
**For Conservative:**
- Only regime change alerts
- Manually review entries
- More selective
---
## TIPS FOR SUCCESS
### 1. Start Small
- Paper trade first
- Then 0.5% risk
- Build to 1-2% over time
### 2. Follow the Regime
- Don't fight it
- Adapt your style
- Different tactics for each
### 3. Trust the Confluence
- 4-5/5 = Best trades
- 2-3/5 = Good trades
- 1/5 = Skip unless desperate
### 4. Respect Exits
- Don't hope and hold
- Cut losses quickly
- Take profits at targets
### 5. Avoid Chaos
- Seriously, just stay out
- Protect your capital
- Wait for clarity
### 6. Keep a Journal
- Record every trade
- Note regime and confluence
- Review weekly
- Learn patterns
### 7. Backtest Thoroughly
- 3+ years minimum
- Multiple market conditions
- Different assets
- Walk-forward test
### 8. Be Patient
- Best setups are rare
- 1-3 trades per week is normal
- Quality over quantity
- Compound over time
---
## COMMON QUESTIONS
**Q: How many trades per month should I expect?**
A: Depends on timeframe and settings. Daily chart: 5-15 trades/month. 4H chart: 15-30 trades/month.
**Q: What's a good win rate?**
A: 55-65% is excellent. 50-55% is good. Below 50% needs adjustment.
**Q: Should I trade all regimes?**
A: Beginners: Only trending. Intermediate: Trending + ranging. Advanced: All except chaos.
**Q: Can I use this on any timeframe?**
A: Best on Daily and 4H. Works on 1H with more noise. Not recommended <1H.
**Q: What if I'm in a trade and regime changes?**
A: Exit immediately (if using indicator) or let strategy handle it automatically.
**Q: How do I know if I'm over-optimizing?**
A: If results are perfect on one period but fail on another. Use walk-forward testing.
**Q: Should I always take 5/5 confluence trades?**
A: Yes, but they're rare (1-2/month). Don't wait only for these.
**Q: Can I combine this with other indicators?**
A: Yes, but keep it simple. RSI, MACD already included. Maybe add volume profile.
**Q: What assets work best?**
A: Liquid stocks, major crypto, futures. Avoid forex spot (use futures), penny stocks.
**Q: How long to hold positions?**
A: Trending: Days to weeks. Ranging: Hours to days. Breakout: Days. Let the regime guide you.
---
## FINAL THOUGHTS
This system gives you:
- ✅ Clear market context (regime)
- ✅ High-probability entries (confluence)
- ✅ Defined exits (automatic signals)
- ✅ Adaptable tactics (regime-specific)
- ✅ Backtestable results (strategy version)
**Success requires:**
- 📚 Understanding each regime
- 🎯 Following the signals
- 💪 Discipline to wait
- 🧠 Emotional control
- 📊 Proper risk management
**Start your journey:**
1. Load the indicator
2. Watch for 1 week (no trading)
3. Identify regime patterns
4. Paper trade for 1 month
5. Go live with small size
6. Scale up as you gain confidence
**Remember:** The market will always be here. There's no rush. Master one regime at a time, and you'll be profitable in all conditions!
Good luck! 🚀
Reversal Strength with Momentum Ratings on 4hr charts Here's a quick breakdown of what you'll see on your chart and how to actually use the indicator!
Reversal Labels:
↑ = Bullish reversal (price reversing upward)
↓ = Bearish reversal (price reversing downward)
STRONG (bright green/red) = High-confidence reversal (score > 65)
weak (faded green/red) = Low-confidence reversal (score ≤ 65)
Number on label = Reversal strength score (0-100)
Momentum Table (Top Right):
Overall Score (0-100) = Total momentum strength
Green (80+) = Very strong momentum
Yellow (40-60) = Moderate momentum
Orange/Red (<40) = Weak/stalling momentum
Individual Momentum Scores (each worth 0-20 points):
Volume = How much trading activity vs average
Price ROC = How fast price is moving (rate of change)
MA Spacing = How spread out the moving averages are (trend strength)
ADX = Directional movement indicator (trend conviction)
RSI Mom. = How far RSI is from neutral 50 (momentum extreme)
Status Indicators:
🔥 STRONG = Momentum > 70 (strong move happening)
📈 BUILDING = Momentum 50-70 (gaining strength)
⚠️ WEAK = Momentum 30-50 (losing steam)
💤 STALLING = Momentum < 30 (very weak/choppy)
Background Tint:
Light green background = Strong momentum (>70)
Light red background = Very weak momentum (<30)
The key is: look for STRONG reversal labels when momentum is building/strong for the best trade setups! Also this is mainly for the 4hr time frame.
HAR Volatility ATR v1.0 (Andreus Villalobos)
Indicator based on the HAR (Hyper-Realized Volatility) model.
Combines daily, weekly, and monthly ATRs to project:
– Most probable price range (90%)
– Most probable take profit (60%)
Does not generate entry signals.
Designed for use in conjunction with:
market structure, liquidity, and price action.
Works on Forex, Indices, Gold, and Cryptocurrencies.
Trading Value RSI (NQ Tuned)The Trading Value RSI (NQ Tuned) is an indicator that applies the RSI calculation to trading value, defined as volume × close, rather than just price. It is specifically tuned for Nasdaq 100 futures (NQ), with a default RSI length of 24, overbought level at 75, and oversold level at 25 to filter out false signals from high volatility. The indicator visually colors the RSI line based on overbought (red), oversold (green), or neutral (blue) conditions. A horizontal midline at 50 helps identify potential trend direction changes or confirm ongoing momentum. This tool allows traders to monitor capital flow intensity, giving insight into when strong buying or selling pressure may drive short-term market moves.
Crypto ATR Position Sizer + LeverageThis indicator is a "heads-up display" for crypto traders who need real time risk management without manually calculating position sizes. It uses Average True Range (ATR) to dynamically place Stop Losses based on current market volatility and automatically calculates the exact position size needed to respect your risk percentage.
Key Features:
Dynamic Risk Management: Stop Loss and Take Profit levels adjust automatically based on market volatility (ATR).
Auto-Position Sizing: Calculates the exact Quantity (in coins) and Position Value (in $) to ensure you never risk more than your defined percentage (e.g., 1% or 2%).
Leverage Calculator: Instantly sees the "Required Leverage" needed to execute the trade size relative to your account balance.
Crypto Precision: Displays up to 8 decimal places, making it compatible with both Bitcoin and low-sat altcoins.
Toggable Direction: Switch between Long and Short biases instantly via the settings menu.
How to Use:
Add the indicator to your chart.
Open Settings and input your Account Balance and Risk %.
Choose your direction (Long or Short) using the checkboxes.
The label will display your Entry, SL, TP, Coin Quantity, and Required Leverage in real-time.
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.
Anchored Cumulative AverageAnchored Cumulative Price Average
Overview
The Anchored Cumulative Price Average plots the arithmetic mean of price values calculated from a user-defined start date and time.
Instead of using a fixed lookback length, the average continuously incorporates every completed candle since the anchor point, producing a stable reference level that evolves as new data becomes available.
The indicator supports custom source selection, optional higher-timeframe calculation, and an optional High / Low average mode, making it suitable for contextual market analysis across multiple time horizons.
How It Works
• A start date and time define the anchor point.
• From that moment forward, the script accumulates price values and divides them by the total number of candles included.
• The result is a cumulative (since-anchor) average, not a rolling moving average.
• When a higher timeframe is selected, calculations are performed only when a new HTF candle completes, ensuring consistent aggregation.
This approach creates an average that reflects the market’s mean price relative to a specific event, session, or structural point.
Inputs
• Calculation Timeframe
Choose the timeframe used for the calculation. Leaving this empty uses the chart timeframe.
• Start Date / Time
Defines the anchor point from which the average begins.
Source
Select the price input used for the average:
• Close, Open, High, Low
• HL2, HLC3, OHLC4
• High & Low (plots separate averages for highs and lows)
How to Use
• Anchor the indicator to a session open, swing point, news event, or structural shift.
• Observe how price interacts with the cumulative average as more data is added.
• Use the High & Low mode to visualize mean price boundaries instead of a single central line.
• Apply a higher timeframe to view broader contextual averages while remaining on a lower-timeframe chart.
Common Use Cases
• Contextual reference for mean price since a specific date or event
• Market structure and balance analysis
• Session-based or event-anchored price evaluation
• Multi-timeframe alignment and bias assessment
• Visual support tool alongside discretionary analysis
Notes
• This indicator does not predict price or generate trade signals.
• It is designed as a contextual analysis tool and should be used in conjunction with other forms of market analysis.
• The plotted values will change as new candles form after the anchor point.
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
Demi's + EMAs + VWAP + Key SR Lines + RSI SignalsBasic buy sell script for 5 min chart updated daily
previous day/week high and lowsThis scrip plots the previous day high and lows, pre market high and lows, previous week high and low.
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.






















