Demi's + EMAs + VWAP + Key SR Lines + RSI SignalsBasic buy sell script for 5 min chart updated daily
Indikatoren und Strategien
Liquidity Vacuum DetectorThis indicator identifies liquidity vacuum zones—price areas where the market previously moved quickly with little resistance. These zones often allow price to travel faster once re-entered, which is favorable for intraday options trading.
Vacuum zones are created during strong, clean impulse moves (large range, low overlap, thin participation). When price later enters a stored vacuum zone with volume expansion, the indicator prints a directional triangle to highlight a potential high-speed move.
Optional filters include VWAP directional bias and regular trading hours (RTH).
Designed as a trade filter and acceleration tool, not a predictive signal.
Best used in combination with key levels (PMH/PML, ORH/ORL, VWAP) and volume confirmation.
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.
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.
Trend Quality Score (Options-Friendly)Trend Quality Score for options entry that signals with background coloring for good movement or chop, to avoid theta burn. Toggle for conservative, balanced or aggressive with triggers.
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
Reentry BUY SELL OnlyReentry BBMA tapi per 4 jam sekali,,
Entri di time frame m15 folow buy dan sellnya
previous day/week high and lowsThis scrip plots the previous day high and lows, pre market high and lows, previous week high and low.
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
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
HTF Indicator with VolumeThis indicator tracks up to 6 higher-timeframes displayed to the right of the chart, along with the volume of those HTF candles. It is designed to be customizable in terms of number of candlesticks per timeframe, color of candle sticks, volume moving average period, and much more.
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.
Kinetic RSI [Vel + Accel] + AlertsThe Problem with Standard RSI
Most traders use the Relative Strength Index (RSI) to see if a market is "Overbought" (above 70) or "Oversold" (below 30). The problem? A strong trend can stay overbought for days, burning short sellers, or an asset can stay oversold while price continues to crash. Standard RSI tells you where the price is, but it doesn't tell you how hard it is moving.
The Solution: Kinetic RSI
This script reimagines RSI by applying basic physics concepts: Velocity and Acceleration.
Instead of asking "Is RSI below 30?", this indicator asks: "Is RSI below 35 AND did it just make a violent, high-speed turn upwards?"
It filters out lazy, drifting price action and only signals when momentum is accelerating in a new direction.
How It Works (The Math)
Velocity: We calculate the speed of the RSI change (Current RSI - Previous RSI).
Acceleration: We calculate if that speed is increasing (Current Velocity - Previous Velocity).
The Trigger: A signal is only generated if the RSI is in an extreme zone (<35 or >65) AND it has high Velocity AND positive Acceleration.
How to Trade It
1. The "Kick" Signals (Background Highlights)
🟢 Green Background (Bullish Kick): The RSI was low, but buyers stepped in aggressively. The momentum is not just positive; it is accelerating upward. This is often a "V-Bottom" catch.
🔴 Red Background (Bearish Kick): The RSI was high, but sellers slammed the price down. Momentum is accelerating downward.
2. The Line Color
Lime Line: Velocity is positive (Momentum is rising).
Fuchsia Line: Velocity is negative (Momentum is falling).
Usage: If the background flashes Green (Buy Signal), but the line turns back to Fuchsia (Red) a few bars later, the move has failed—exit the trade.
Settings & Alerts
RSI Length: Standard 14 (Adjustable).
Velocity Threshold: Controls sensitivity.
Lower (e.g., 2-3): More signals, catches smaller reversals.
Higher (e.g., 5+): Fewer signals, catches only massive "shocks" to the price.
Alerts Included: You can set alerts for "Bullish Kick," "Bearish Kick," or "Any Kick" to get notified of volatility spikes.
Best Practices
Wait for the Close: This indicator measures the closing velocity. Always wait for the bar to close to confirm the background color signal.
Trend Filtering: This works best as a "Reversal" indicator. If the market is in a super-strong uptrend, ignore the Bearish (Red) signals and only take the Bullish (Green) dips.
MP SESSIONS, DST, OTTHere’s a clear description you can use for this script (for yourself or as a TradingView “Indicator Description”):
---
### MP SESSIONS, DST, OTT – What this indicator does
This script is a **multi-session market timing tool** that:
1. **Draws full trading sessions on the chart** (Asia, Sydney, Tokyo, Shanghai, Europe, London, New York, NYSE)
2. **Automatically adjusts for Daylight Saving Time (DST)** for Sydney, London, and New York
3. **Shows a live info table** with session times, DST status, and whether each session is currently open or closed
4. **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:
1. Session name (Asia, Sydney, Tokyo, Shanghai, Europe, London, New York, NYSE)
2. DST status for that region (“Active 🌞 / Inactive 🍂 / Not Observed”)
3. Session **start time**
4. Session **end time**
5. 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.)
---
### TL;DR
This indicator is a **session toolkit + DST engine + time markers**:
* **Visually paints the main global sessions** with boxes and labels.
* **Handles DST automatically** for Sydney, London, New York.
* **Shows a live table** with session times, DST status, and open/closed status in your time zone.
* **Adds up to three configurable vertical time markers (OTT)** for custom session windows or key times.
If you want, I can also write a **short version** (2–3 sentences) for the TradingView “Description” field.
Premarket, Previous Day, Current Day high/lowHighs and lows for premarket, previous day, and current day
PDI / MMXM Execution OverlayCreates FVG's on lower time frames automatically. Helps with charting live.
NY 8:00 8:15 Candle High & LowThis indicator plots the high and low of the New York 8:00–8:15 AM (EST) 15-minute candle and extends those levels horizontally for the rest of the trading day
The levels are **anchored to the 15-minute timeframe
Designed for **session-based trading, liquidity sweeps, ICT-style models, and NY Open strategies.
Lines automatically reset each trading day at the NY open window.
Clean, lightweight, and non-repainting.
This script is ideal for traders who want consistent, reliable session levels without recalculation or timeframe distortion.
Custom versions available
If you’d like:
- Different sessions (London, Asia, custom hours)
- Multiple session ranges
- Labels, alerts, or strategy logic
- A full strategy version with entries, SL/TP, and risk rules
Feel free to reach out — happy to build custom tools to fit your trading model.
Multi-TF EMA Alignment - Safe 3/4 Above EMA50 + ATR Pullbackthis script only triggers when your context, Validation, and entry time frames EMA's align for long positions
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
...
∞
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.
X-trend Volume Anomaly 📊 X-TREND Volume Anomaly: Advanced VSA Analysis
Effective market analysis requires understanding the relationship between Price Action and Volume. X-Trend Volume Anomaly is a technical instrument that simplifies Volume Spread Analysis (VSA) into a clear, visual system. It allows traders to instantly decode the footprint of "Smart Money" by analyzing the correlation between Relative Volume (RVOL) and Candle Range.
The algorithm automatically classifies market behavior into three distinct states:
1. 🟢🔴 Impulse (Trend Validation)
Logic: High Relative Volume + High Price Range.
Interpretation: Represents genuine market intent. Institutional aggregators are aggressively pushing price. This confirms the validity of a breakout or trend continuation.
2. 🟠 Absorption / Churn (Reversal Warning)
Logic: Ultra-High Relative Volume + Low Price Range (Doji, Pin-bar).
Interpretation: The critical signal. This indicates a major divergence between Effort (Volume) and Result (Price Movement). Large players are absorbing liquidity via limit orders, halting the trend. This is often a precursor to an immediate reversal. (See the Orange candle in the chart examples).
3. 👻 Ghost Mode (Noise Reduction)
Logic: Candles with low/insignificant volume are rendered in a transparent gray scale.
Utility: Eliminates visual noise, allowing the trader to focus exclusively on significant liquidity events and institutional activity.
⚙️ SYSTEM SYNERGY
While this indicator provides robust standalone volume analysis, it is engineered to function as the Volume Confirmation Layer within the X-Trend Ecosystem. For a complete institutional trading setup, we recommend pairing this tool with:
X-Trend Reversal (PRO): For precise, non-repainting entry signals.
X-Trend Liquidation Heatmap: For identifying high-probability price targets.
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.
FTSE Santa - Late Dec 12d (Optimised Exit)Simple Santa Rally Strategy. Once a year, in late December, it waits for a sensible (non-spiky) day to get long FTSE, then either stops out around −4%, gets trailed out in profit if it rallies, or exits after about 12 trading days.






















