EGX30 Advance/Decline Line
📈 EGX30 Advance/Decline Line Indicator: Overview and Usage
The EGX30 Advance/Decline Line indicator is a comprehensive tool designed to analyze the market breadth and sentiment of the EGX30 index by aggregating and visualizing statistics from its 29 component stocks. It goes beyond simple price action to provide deeper insights into the underlying strength or weakness of the index's movers.
This script allows users to select from five primary metrics and includes advanced features like automatic parameter configuration based on the chart's timeframe and a detailed information table summarizing the day's market activity.
Key Features and Available Metrics
You can select one of the following primary metrics from the 'Select Metric' dropdown menu:
1. Advance/Decline Line (A/D Line):
Plots the cumulative total of Net Advances (Advancing Issues - Declining Issues).
It is used to confirm the index's trend or warn of divergences, where the index is rising but the A/D line is falling (suggesting fewer stocks are participating in the rally).
Includes a Zero Line and a configurable Simple Moving Average (SMA).
2. McClellan Oscillator (MCC):
A breadth oscillator based on the difference between two Exponential Moving Averages (EMAs) of the Advance/Decline Ratio.
It measures the speed and direction of market breadth momentum.
Includes a Buy Climax (0.1) and Sell Climax (-0.1) dotted lines to identify overbought/oversold conditions.
3. Arms Index (TRIN - TRading INdex):
A volume-based oscillator that compares the ratio of Advancing Issues/Declining Issues to the ratio of Advancing Volume/Declining Volume.
A reading above 1.0 (Neutral Level) suggests selling pressure (Declining Volume is relatively high), while a reading below 1.0 suggests buying pressure (Advancing Volume is relatively high).
Includes a Neutral Level (1.0) and Upper/Lower Bands based on Standard Deviation to identify Overbought/Oversold extremes.
4. Total Volume:
Plots the aggregated total volume for all 29 EGX30 component stocks.
Includes a SMA for trend comparison.
5. Total Liquidity:
Plots the aggregated total traded value (Price * Volume) for all 29 component stocks.
A measure of overall capital movement in the index components.
Includes a SMA for trend comparison.
⚙️ Configuration Settings
The indicator includes two primary configuration groups:
Timeframe Configuration
▶️ Enable Automatic Timeframe Configuration: When enabled (default), the script automatically optimizes the lookback lengths for the Moving Averages (MA), McClellan Oscillator, and TRIN based on whether the chart is set to an Intraday, Daily, or Weekly timeframe.
⚙️ Manual Overrides: Disable the automatic configuration to manually set the lengths for MA Length, McClellan Fast EMA, McClellan Slow EMA, and TRIN Lookback.
Table Settings
The indicator displays a table in the top-right corner summarizing key market breadth statistics.
Number of Top Contributors: Sets the number of top stocks (up to 29) to display in the table.
Show Top Contributors (Performance): Shows the stocks with the largest absolute index-weighted contribution to the EGX30's movement.
Show Top Contributors (Volume): Shows the stocks with the highest traded value (liquidity), displayed as a percentage of the total traded value.
The table also provides a persistent summary of:
Advancing, Declining, and Unchanged Issues.
Net Advancements (unless TRIN is selected).
Net Volume % and Net Liquidity %.
Mode-specific statistics like Total Volume/Liquidity or Advancing/Declining Volume.
Tìm kiếm tập lệnh với "liquidity"
ScalpDaddy V3ScalpDaddy bundles eight battle‑tested tools into a single, toggleable overlay for fast confluence and clean charts. It’s designed for intraday scalpers and swing traders who want a lightweight dashboard plus precision levels and volatility context—without juggling multiple indicators.
What’s Inside (all can be turned on/off)
SD: Trend Sniper (MTF RSI/ADX table)
8‑TF heatmap with emoji glyphs (momentum/strength/chop).
Weighted bias meter, HTF dominance and adjacency bonus to reward agreement.
Tiny Entry‑Qualifier dashboard (Trend, Throttle, Quality, Boost) for quick “go/no‑go”.
SD: Squeeze (BB/KC)
Bollinger Bands + Keltner Channel with squeeze fill for compression/expansion reads.
SD: Fibonacci Levels
Swing‑aware fib grid with instant flip option, reject band, extension gates, target‑zone shading, and labels.
SD: PM/AH/RTH Levels
Prior extended‑hours and prior RTH high/low, with dynamic/previous‑only modes.
SD: Pivot Points (Structure)
Clean, confirmed pivot markers to visualize HH/HL/LH/LL, BOS/MSS turns.
SD: Liquidity Sweeper
Buyside/Sellside liquidity pools with live maintenance and optional invalidation highlighting.
SD: FVG Finder
Present/Full‑history scan with budget controls, configurable fill logic and coloring.
SD: Fourier ATR
Smoothed ATR “center line” with envelope; optional labels when price exits/re‑enters the band.
Quick Start
Open inputs. In “SD: Modules,” enable only what you need for the session.
For Trend Sniper:
Pick “Table TF Preset” (e.g., fibs day trade, scalp, short/long swing) or enable “Custom TFs” and set each TF.
Choose Update Mode: “Live” for intrabar responsiveness or “On Close” for confirmed, non‑flickering signals.
Table and mini dashboard positions are configurable.
Optional confluence:
Turn on Squeeze to spot compression before Trend Sniper shifts.
Add Sessions + Liquidity + FVG to map targets/voids and where price is likely to react.
Use ATR Envelope to gauge when price is stretching outside normal travel.
How To Read The Trend Sniper Table
Emojis:
🚀/🔥 = bullish pressure; ⚓️/🩸 = bearish pressure; 🪓 = chop; ⚠️ = caution (e.g., OB/OS with strong ADX).
Bias:
A normalized, weighted read of the 8 TFs. The default thresholds used for alerts: +0.30 (bullish) / −0.30 (bearish).
HTF dominance:
When enabled, strong alignment on the slowest TFs dampens opposite LTF noise.
Entry‑Qualifier mini dash:
“Trend” (ADX), “Throttle” (RSI), “Quality” (Chop), “Boost” (relative volume). Green/steady reads support continuation; yellow/red flags warn of choppiness/whipsaw.
Module Notes
Squeeze (BB/KC): Look for squeeze fill changes—breakouts often follow compression.
Fibonacci: “Zigzag Period” sets swing sensitivity; “Instant flip” optionally flips the active leg when price breaks a chosen threshold (wick/close). Target‑zone shading highlights extension ranges; labels can be limited to extensions only.
PM/AH/RTH: “RTH Mode” = Dynamic (today’s running levels during RTH) or Previous Session Only. Optional volume filter for PM/AH to show only significant sessions.
Pivot Points: Uses confirmed pivots; simple circular markers show HH/HL/LH/LL and shifts (BOS/MSS) without clutter.
Liquidity: “margin” adjusts pool thickness sensitivity; enable “Show Broken” to keep invalidated pools visible with different fill.
FVG Finder: Choose Present or Full History and set a bar budget to control performance. “Fill Mode” supports touch/close/percent thresholds.
Fourier ATR: Envelope defines typical travel. Optional labels:
⚠️ when price exits the band
⬇️ when price re‑enters
Built‑in Alerts
Open the Alerts dialog and choose this indicator; you’ll see named alerts you can attach to any symbol/interval:
Bull Combo (🚀/🔥 no ⚠️)
Table: RSI/ADX Bull Majority
Table: RSI/ADX Bear Majority
Bias turns Bullish (≥ +0.30)
Bias turns Bearish (≤ −0.30)
EQ Bull Align
EQ Bear Align
ATR: ⚠️ Price exited envelope
ATR: ⬇️ Price re‑entered envelope
Performance Tips
Start with only the modules you need. Turn others off in “SD: Modules.”
For FVG, use Present mode with a reasonable “Present Mode Bars” budget on lower timeframes.
Set Trend Sniper to “On Close” for steadier updates during fast markets.
Heavy drawings (many labels/lines/fills) can be reduced by lowering visible counts or disabling labels.
Best Practices & Disclaimers
Educational tool, not financial advice. Past performance does not guarantee future results.
Signals are contextual—use with sound risk management and higher‑timeframe bias.
Some elements can update intrabar when “Live” or “allow repaint” is on (ATR emojis); prefer confirmed/close‑based modes if you want steadier behavior.
Works on most symbols and timeframes; intended primarily for intraday to swing trading.
Stablecoin Supply Ratio [Alpha Extract]Stablecoin Supply Ratio Indicator
The Stablecoin Supply Ratio (SSR) indicator compares Bitcoin's market capitalization to the aggregate supply of major stablecoins, offering insights into relative purchasing power and liquidity. This tool helps traders:
✔ Assess Bitcoin's buying power relative to the available stablecoin liquidity.
✔ Detect periods of capital inflow or outflow from stablecoins.
✔ Identify market sentiment shifts based on stablecoin reserves.
🔶 CALCULATION
The indicator aggregates the supply of key stablecoins and compares it to Bitcoin's market cap:
Stablecoin Aggregation
• Inputs:
USDT, USDC, DAI, USDD (daily closing values).
BUSD Market Cap (Glassnode data).
• Total Stablecoin Supply:
Sum of the listed stablecoins' market caps.
Stablecoin Supply Ratio (SSR)
• Formula:
SSR = Bitcoin Market Cap / Total Stablecoin Supply
• Normalized SSR:
Normalized by dividing SSR by its 200-day SMA.
Bollinger Bands
• Bands are applied to the normalized SSR using a configurable moving average type and 2 standard deviations.
Example Calculation:
ssr = btcmc / stablecoin_liq
ratio = ssr / ta.sma(ssr, 200)
basis = ta.sma(ratio, 200)
dev = 2 * ta.stdev(ratio, 200)
upper = basis + dev
lower = basis - dev
🔶 DETAILS
Visual Features:
• Normalized SSR:
Plotted as a light green line.
• Upper Band:
Red line indicating SSR overbought zone.
• Lower Band:
Green line signaling SSR oversold zone.
Interpretation:
• High SSR: Indicates stablecoin reserves are low relative to Bitcoin's market cap, reducing stablecoin buying power.
• Low SSR: Suggests high stablecoin liquidity relative to Bitcoin's market cap, increasing potential buying pressure.
• Band Crosses: Movements beyond the upper or lower bands may signal sentiment extremes.
🔶 EXAMPLES
Market insights include:
• Capital Outflows: SSR rising into the upper band may reflect decreasing stablecoin reserves, potentially signaling a liquidity drain.
• Capital Inflows: SSR dropping near the lower band could indicate growing stablecoin reserves, potentially fueling Bitcoin demand.
🔶 SETTINGS
Customization Options:
• MA Type: Choose between SMA, EMA, WMA, SMMA, and VWMA for band calculation.
• Period: Adjust the 200-day smoothing period.
• Deviation Multiplier: Modify the standard deviation multiplier (default: 2).
The Stablecoin Supply Ratio indicator is a valuable tool for traders monitoring liquidity dynamics and stablecoin trends to anticipate Bitcoin market moves and capital flows.
[Daily] CRT with OHLC Reference Here’s a breakdown of Daily CRT:
1. What is Daily CRT?
Daily CRT focuses on the price action of daily candles, treating them as ranges that can be broken or manipulated.
The theory suggests that certain candles on the daily chart form ranges that act as key levels for price expansion or reversal.
These ranges are not just simple support and resistance levels but are tied to the concept of liquidity draws, where price is likely to move towards areas where liquidity is concentrated (e.g., highs, lows, or key levels).
2. Key Components of Daily CRT
Ranging Candle: The first candle in the CRT setup establishes the range. This candle’s high and low become the key levels to watch.
Manipulation Candle: The second candle often manipulates the range by either breaking it or testing it. This is where turtle soup (false breakouts) can occur.
Distribution Candle: The third candle is where the price either confirms the breakout or reverses, leading to a potential expansion in the opposite direction.
3. How to Use Daily CRT
Identify the Range: On the daily chart, identify a candle that forms a clear range (high and low). This is your Ranging Candle.
Watch for Manipulation: The next candle (Manipulation Candle) will often test or break the range. If it breaks the range but then reverses back inside, it’s a turtle soup (false breakout), indicating a potential reversal.
Trade the Distribution: The third candle (Distribution Candle) is where you look for confirmation. If the price breaks the range and continues in the same direction, it’s a true breakout. If it reverses, it’s a false breakout, and you can trade the reversal.
4. Daily CRT and Key Levels
Daily CRT works best when combined with higher timeframe key levels (e.g., weekly or monthly highs/lows, order blocks, fair value gaps, etc.).
The daily candle ranges often align with these key levels, providing confluence for potential reversals or expansions.
5. Time Alignment in Daily CRT
Time is a critical factor in CRT. The PDF emphasizes that the highest probability CRT setups occur at specific times of the day or week.
For example, the purge (breakout or reversal) of a daily CRT often happens during key trading sessions (e.g., London open, New York open).
6. Practical Steps for Daily CRT
Determine the Draw on Liquidity: Use higher timeframe analysis (weekly or monthly) to identify where price is likely to move (e.g., towards a key level or liquidity pool).
Identify the Daily Range: On the daily chart, mark the high and low of the ranging candle.
Watch for Manipulation: Observe the next candle to see if it breaks the range or tests it. Look for signs of turtle soup (false breakouts).
Trade the Distribution: Once the third candle confirms the direction (either breakout or reversal), enter the trade with proper risk management.
7. Example of Daily CRT
Ranging Candle: On Monday, a daily candle forms a range between 1.1000 (low) and 1.1100 (high).
Manipulation Candle: On Tuesday, the price breaks below 1.1000 but then reverses back above it, forming a turtle soup (false breakout).
Distribution Candle: On Wednesday, the price confirms the reversal by breaking above 1.1100, signaling a potential bullish expansion.
8. Integration with Other Concepts
Daily CRT should not be used in isolation. It works best when combined with other ICT concepts like:
Market Profiles: Understanding whether the market is in a ranging, expansion, or reversal phase.
Orderflow: Identifying bullish or bearish orderflow to confirm the direction of the CRT.
Key Levels: Using higher timeframe key levels to add confluence to the CRT setup.
Time: Aligning the CRT with key times (e.g., London open, New York open) for higher probability setups.
9. Risk Management in Daily CRT
Always use proper risk management when trading CRT setups. The PDF suggests risking no more than 0.5% of your account per trade.
Use stop-losses and position sizing to protect your capital, especially since CRT setups can involve false breakouts (turtle soups).
10. Summary
Daily CRT is a powerful tool for identifying key levels and potential price expansions or reversals on the daily chart.
It involves analyzing three key candles: the Ranging Candle, the Manipulation Candle, and the Distribution Candle.
The theory is most effective when combined with higher timeframe key levels, market profiles, orderflow, and proper time alignment.
By mastering Daily CRT, you can improve your ability to predict market movements and frame high-probability trades.
Engulfing Candles with Sweep by AydmaxxEngulfing Candles with Sweep Indicator
The "Engulfing Candles with Sweep" indicator identifies bullish and bearish engulfing candles that exhibit liquidity sweeps. It marks these significant candlestick patterns and draws a 50% Fibonacci retracement line from the high to low of the engulfing candle. The indicator helps traders spot potential reversal points where large market players might be accumulating or distributing positions.
Key Features:
Bullish Engulfing Candle with Sweep:
Identifies when a bullish candle (closing higher than it opened) engulfs the previous bearish candle (closing lower than it opened).
Ensures that the bullish candle’s low is lower than the previous candle’s low, indicating a sweep of liquidity.
Marks the identified bullish candle with a symbol below the candlestick.
Draws a 50% Fibonacci retracement line from the high to the low of the bullish engulfing candle.
Bearish Engulfing Candle with Sweep:
Identifies when a bearish candle (closing lower than it opened) engulfs the previous bullish candle (closing higher than it opened).
Ensures that the bearish candle’s high is higher than the previous candle’s high, indicating a sweep of liquidity.
Marks the identified bearish candle with a symbol above the candlestick.
Draws a 50% Fibonacci retracement line from the high to the low of the bearish engulfing candle.
Customizable Settings:
Fibonacci Line Color: Allows customization of the Fibonacci retracement line color for both bullish and bearish engulfing candles.
Fibonacci Line Style: Provides options to choose the line style (solid, dotted, dashed).
Fibonacci Line Width: Enables adjustment of the line width for better visibility.
Toggle Fibonacci Lines: Option to enable or disable the display of Fibonacci retracement lines.
How to Use:
Apply the indicator to your chart.
Look for symbols below or above the candlesticks, indicating bullish or bearish engulfing candles with liquidity sweeps.
Utilize the 50% Fibonacci retracement lines to identify potential support or resistance levels.
Benefits:
Helps in identifying key reversal patterns in the market.
Provides visual aids with Fibonacci retracement levels for potential entry and exit points.
Enhances trading decisions by confirming engulfing patterns with liquidity sweeps.
ICT Power Of Three | Flux Charts💎 GENERAL OVERVIEW
Introducing our new ICT Power Of Three Indicator! This indicator is built around the ICT's "Power Of Three" strategy. This strategy makes use of these 3 key smart money concepts : Accumulation, Manipulation and Distribution. Each step is explained in detail within this write-up. For more information about the process, check the "HOW DOES IT WORK" section.
Features of the new ICT Power Of Three Indicator :
Implementation of ICT's Power Of Three Strategy
Different Algorithm Modes
Customizable Execution Settings
Customizable Backtesting Dashboard
Alerts for Buy, Sell, TP & SL Signals
📌 HOW DOES IT WORK ?
The "Power Of Three" comes from these three keywords "Accumulation, Manipulation and Distribution". Here is a brief explanation of each keyword :
Accumulation -> Accumulation phase is when the smart money accumulate their positions in a fixed range. This phase indicates price stability, generally meaning that the price constantly switches between up & down trend between a low and a high pivot point. When the indicator detects an accumulation zone, the Power Of Three strategy begins.
Manipulation -> When the smart money needs to increase their position sizes, they need retail traders' positions for liquidity. So, they manipulate the market into the opposite direction of their intended direction. This will result in retail traders opening positions the way that the smart money intended them to do, creating liquidity. After this step, the real move that the smart money intended begins.
Distribution -> This is when the real intention of the smart money comes into action. With the new liquidity thanks to the manipulation phase, the smart money add their positions towards the opposite direction of the retail mindset. The purpose of this indicator is to detect the accumulation and manipulation phases, and help the trader move towards the same direction as the smart money for their trades.
Detection Methods Of The Indicator :
Accumulation -> The indicator detects accumulation zones as explained step-by-step :
1. Draw two lines from the lowest point and the highest point of the latest X bars.
2. If the (high line - low line) is lower than Average True Range (ATR) * accumulationConstant
3. After the condition is validated, an accumulation zone is detected. The accumulation zone will be invalidated and manipulation phase will begin when the range is broken.
Manipulation -> If the accumulation range is broken, check if the current bar closes / wicks above the (high line + ATR * manipulationConstant) or below the (low line - ATR * manipulationConstant). If the condition is met, the indicator detects a manipulation zone.
Distribution -> The purpose of this indicator is to try to foresee the distribution zone, so instead of a detection, after the manipulation zone is detected the indicator automatically create a "shadow" distribution zone towards the opposite direction of the freshly detected manipulation zone. This shadow distribution zone comes with a take-profit and stop-loss layout, customizable by the trader in the settings.
The X bars, accumulationConstant and manipulationConstant are subject to change with the "Algorithm Mode" setting. Read the "Settings" section for more information.
This indicator follows these steps and inform you step by step by plotting them in your chart.
🚩UNIQUENESS
This indicator is an all-in-one suite for the ICT's Power Of Three concept. It's capable of plotting the strategy, giving signals, a backtesting dashboard and alerts feature. Different and customizable algorithm modes will help the trader fine-tune the indicator for the asset they are currently trading. The backtesting dashboard allows you to see how your settings perform in the current ticker. You can also set up alerts to get informed when the strategy is executable for different tickers.
⚙️SETTINGS
1. General Configuration
Algorithm Mode -> The indicator offers 3 different detection algorithm modes according to your needs. Here is the explanation of each mode.
a) Small Manipulation
This mode has the default bar length for the accumulation detection, but a lower manipulation constant, meaning that slighter imbalances in the price action can be detected as manipulation. This setting can be useful on tickers that have lower liquidity, thus can be manipulated easier.
b) Big Manipulation
This mode has the default bar length for the accumulation detection, but a higher manipulation constant, meaning that heavier imbalances on the price action are required in order to detect manipulation zones. This setting can be useful on tickers that have higher liquidity, thus can be manipulated harder.
c) Short Accumulation
This mode has a ~70% lower bar length requirement for accumulation zone detection, and the default manipulation constant. This setting can be useful on tickers that are highly volatile and do not enter accumulation phases too often.
Breakout Method -> If "Close" is selected, bar close price will be taken into calculation when Accumulation & Manipulation zone invalidation. If "Wick" is selected, a wick will be enough to validate the corresponding zone.
2. TP / SL
TP / SL Method -> If "Fixed" is selected, you can adjust the TP / SL ratios from the settings below. If "Dynamic" is selected, the TP / SL zones will be auto-determined by the algorithm.
Risk -> The risk you're willing to take if "Dynamic" TP / SL Method is selected. Higher risk usually means a better winrate at the cost of losing more if the strategy fails. This setting is has a crucial effect on the performance of the indicator, as different tickers may have different volatility so the indicator may have increased performance when this setting is correctly adjusted.
3. Visuals
Show Zones -> Enables / Disables rendering of Accumulation (yellow) and Manipulation (red) zones.
FX OSINT - Institutional Midnight Intelligence For ForexFX OSINT — Institutional Midnight Intelligence For Forex
See Your FX Charts Like an Intelligence Briefing, Not a Guess
If you’ve ever stared at EURUSD or GBPJPY and thought:
Where is the real liquidity?
Is this move sponsored by smart money or just noise?
Am I buying into premium or discount?
…then FX OSINT is designed for you.
FX OSINT (Forex Open Source Intelligence) treats the FX market the way an analyst treats an investigation:
Collect open‑source signals from price, time, and volatility.
Map out liquidity, structure, and sessions in a repeatable way.
Present them in a clean, non‑cluttered dashboard so you can read context quickly.
No rainbow spaghetti. No 12 indicators stacked on top of each other. Just structured information, midnight visuals, and a clear read on what the market is doing right now.
Why FX OSINT Exists
Many FX traders run into the same problems:
Overloaded charts – multiple indicators fighting for space, none talking to each other.
Signals with no context – arrows that ignore structure, sessions, and liquidity.
Tools not tuned for FX – generic indicators that don’t care what pair you are on.
FX OSINT brings this together into one FX‑focused framework that:
Understands structure : BOS/CHOCH, swings, and trend across multiple timeframes.
Respects liquidity : sweeps, order blocks, and FVGs with controlled visibility.
Reads volatility & ADR : how far today’s range has developed.
Knows the clock : London, New York, and key killzones.
Scores confluence : a 0–100 engine that summarizes how much is lining up.
FX OSINT is built for traders who want structured, institutional‑style logic with a disciplined, midnight‑themed UI —not flashing buy/sell buttons.
1. Midnight Dashboard — Top‑Right Intelligence Panel
This panel acts as your compact “situation room”:
CONFLUENCE — 0–100 score blending trend alignment, volatility regime, sessions, liquidity events, order blocks, FVGs, and ADR context.
REGIME — Low / Building / Normal / Expansion / Extreme, driven by ATR relationships, so you know if you’re in chop, trend, or expansion.
HTF / MTF / LTF TREND — Higher‑, medium‑, and current‑timeframe bias in one place, so you see if you are trading with or against the larger flow.
ADR USED — How much of today’s typical range has already been consumed in percentage terms.
PIP VALUE — Approximate pip size per pair, including JPY‑style pairs.
Everything is bold, legible, and color‑coded, but the layout stays minimal so you can:
Look once → understand the context.
2. Structure, BOS, CHOCH — Smart‑Money‑Style Skeleton
FX OSINT tracks swing highs and lows, then shows how structure evolves:
Trend logic based on evolving swings, not just a moving average cross.
BOS (Break of Structure) when price expands in the direction of trend.
CHOCH (Change of Character) when behavior flips and the market structure changes.
Labels are selective, not spammy . You don’t get a tag on every minor wiggle—only when structure meaningfully shifts, so it’s easier to answer:
"Are we continuing the current leg, or did something actually change here?"
3. Liquidity Sweeps, Order Blocks & FVGs — The OSINT Layer
FX OSINT treats liquidity as a key information layer:
Liquidity sweeps — Detects when price spikes through recent highs/lows and then snaps back, flagging potential stop runs.
Order blocks — The last opposite candle before a displacement move, drawn as controlled boxes with limited lifespan to avoid clutter.
Fair Value Gaps (FVGs) — Three‑candle imbalances rendered as precise zones with a cap on how many can exist at once.
Under the hood, boxes are managed so your chart does not become a wall of old zones:
// Draw Order Blocks with overlap prevention
if isBullishOB and showOrderBlocks
if array.size(obBoxes) >= maxBoxes
oldBox = array.shift(obBoxes)
box.delete(oldBox)
newBox = box.new(bar_index , low , bar_index + obvLength, high ,
border_color = bullColor, bgcolor = bullColorTransp,
border_width = 2, extend = extend.none)
array.push(obBoxes, newBox)
Box limits keep the number of zones under control.
Borders and transparency are tuned so you still see price clearly.
You end up with a curated liquidity map , rather than a chart buried under every level price has ever touched.
4. Volatility, ADR & Sessions — Time and Range Intelligence
FX OSINT runs a Volatility Regime Analyzer and an ADR engine in the background:
Volatility regime — Five states (Low → Extreme) derived from fast vs. slow ATR.
ADR bands — Daily high/mid/low projected from the current daily open.
ADR used % — How far today’s move has traveled relative to its typical range.
On the time side:
Asia, London, New York sessions are softly highlighted with a single active background to avoid overlapping colors.
Killzones (e.g., London and New York opens) can be emphasized when you want to focus on where significant moves often begin.
Together, this helps you answer:
"What time is it in the trading day?"
"How stretched are we?"
"Is expansion just starting, or are we late to the move?"
5. ICT‑Style Add‑Ons — BOS/CHOCH, Premium/Discount, and Confluence
For modern FX / ICT‑inspired workflows, FX OSINT includes:
BOS / CHOCH labels — Clear structural shifts based on swings.
Premium / Discount zones — 25%, 50%, 75% levels of the daily range, so you know if you are buying discount in an uptrend or selling premium in a downtrend.
Confluence score — A single number summarizing how many conditions line up in the current context.
Instead of replacing your plan, FX OSINT compresses your checklist into the chart:
Structure
Liquidity
Session / Time
Volatility / ADR
Higher‑timeframe alignment
When these agree, the dashboard reflects it. When they don’t, it stays neutral and lets you see the conflict.
How To Use FX OSINT
FX OSINT is not a signal bot. It is an information engine that organizes context so you can apply your own plan.
A typical workflow might look like:
Start on higher timeframes (e.g., H4/D1) to form directional bias from structure, volatility regime, and ADR context.
Move to intraday timeframes (e.g., M15/H1) around your chosen sessions (London and/or New York).
Look for confluence :
HTF / MTF / LTF trends aligned.
Price in discount for longs or premium for shorts.
Recent liquidity sweep into a meaningful OB or FVG.
Confluence score at or above a level you consider significant.
Then refine entries using BOS/CHOCH on lower timeframes according to your own risk and execution rules.
FX OSINT aims to make sure you do not enter a trade without seeing:
Where you are in the day (ADR and sessions).
Where you are in the volatility cycle (regime).
Who currently appears in control (structure and trend).
Which liquidity was just targeted (sweeps and zones).
Design Choices and Scope
FX OSINT was designed around a few clear constraints:
FX‑focused — Logic and filters tuned for FX majors, minors, exotics, and metals. It is intended for FX markets, not for every possible asset class.
Open‑source — The full Pine Script code is available so you can read it, learn from it, and adapt it to your own workflow if needed.
Clear themes — Two main visual styles (e.g., dark institutional “midnight” and a lighter accent variant) with a focus on readability, not visual noise.
Chart‑friendly — Panels use fixed areas, session highlights avoid overlapping, and boxes are capped/pruned so the chart remains usable.
FX OSINT is for only Forex pairs, not anything else!
Hope you enjoyed and remember your Open Source Intelligence Matters 😉!
-officialjackofalltrades
Institutional Flow Engine (IFE) v1.7 PROInstitutional Flow Engine (IFE) v1.7 PRO — Description
The Institutional Flow Engine (IFE) is an intraday market-flow framework built around liquidity behavior, session timing and structural shifts. Instead of combining public indicators, IFE uses its own unified engine that monitors:
• Accumulation ranges formed during the early session
• Liquidity events when price reaches key levels and rejects
• Structural shifts based on pivot swings
• Momentum confirmation after structural breaks
• Higher-timeframe inefficiency zones (price speed / imbalance areas)
• Session-specific conditions for Core Session and Expansion Session
The objective is to provide a logical roadmap of how price transitions from accumulation → manipulation → expansion during the trading day.
--------------------------------------------------------------------
1. Session Framework
IFE operates using three phases:
1. Asia Accumulation Phase
- Builds the core accumulation range
- Builds an extended reference range used later by the Expansion Session
2. Pre-Core Phase
- Tracks a local intraday range before the main session
- Detects liquidity taps or sweeps of this range
3. Core Session (London)
- Primary signal window where the engine evaluates directional intent
4. Expansion Session (New York)
- Secondary session logic for continuation or reversal during the afternoon
--------------------------------------------------------------------
2. Liquidity Events and Key Levels
IFE identifies multiple types of liquidity behavior:
• Sweeps of the Asia accumulation range
• Sweeps of the extended reference range
• Sweeps of the pre-session intraday range
• Equal-high and equal-low clusters that attract price and later reject
A liquidity event is confirmed when price trades beyond a key level and then returns back into the range.
Users can decide whether:
• Liquidity events are required for signals
• Only the side where liquidity was taken should be traded
• Both sides can be considered
--------------------------------------------------------------------
3. Structural Shifts and Momentum Confirmation
The engine monitors local structure using pivot-based swing points. A directional shift occurs when price closes beyond a previous swing level.
This shift is validated only if accompanied by a momentum candle (a body significantly larger than recent average).
The user can select aggressive, standard, or defensive confirmation modes.
These momentum-based signals are independent from zone-based signals.
--------------------------------------------------------------------
4. Inefficiency / Imbalance Zones (Higher Timeframe Mapping)
IFE maps areas where price moved too quickly (inefficiency zones) on a higher timeframe.
These zones:
• Are detected using multiple gap-based models
• Have a maximum lifetime
• Are invalidated if price fully trades through
• Are visualized with dynamic boxes extended forward
Optional signal conditions allow:
• Tap + rejection within an active zone
• Session window confirmation
• Liquidity-based directional filters
--------------------------------------------------------------------
5. Equilibrium Filters (Optional)
IFE calculates an equilibrium level for each session based on the midpoint of either:
• The Asia accumulation range, or
• The most recent structural swing range
Users can restrict signals so that:
• Shorts only trigger above equilibrium
• Longs only trigger below equilibrium
This helps avoid entries in the inefficient half of the range.
--------------------------------------------------------------------
6. Signal Types
There are two main signal types inside each session:
1. Zone-Based Signals
- Price interacts with an active inefficiency zone
- Liquidity event is confirmed
- Price rejects the zone
- Session window is active
2. Momentum-Based Signals
- A structural shift is confirmed
- A momentum candle supports the move
- Liquidity/equilibrium conditions are met
- Session window is active
Long and short signals are plotted clearly on the chart with directional labels.
--------------------------------------------------------------------
7. Alerts
IFE includes alerts for:
• Zone-based long/short signals
• Momentum-based long/short signals
• Core Session events
• Expansion Session events
Each alert matches the exact visual signal on chart.
--------------------------------------------------------------------
8. Practical Use
IFE is designed for:
• Major indices (NAS100, ES, DAX)
• FX majors
• High-liquidity crypto pairs
Recommended workflow:
1. Observe how the Asia range forms initial liquidity.
2. Watch for liquidity grabs before the main session.
3. Use inefficiency zones as primary interest areas.
4. Use session timing as the main filter.
5. Apply your own risk management alongside the signals.
IFE is a structural mapping tool intended for experienced traders. It does not constitute financial advice.
Major Crypto Relative Strength Portfolio System Majors RSPS - Relative Strength Portfolio System for Major Cryptocurrencies
Overview
Majors RSPS (Relative Strength Portfolio System) is an advanced portfolio allocation indicator that combines relative strength analysis, trend consensus, and macro risk factors to dynamically allocate capital across major cryptocurrency assets. The system leverages the NormalizedIndicators Library to evaluate both absolute trends and relative performance, creating an adaptive portfolio that automatically adjusts exposure based on market conditions.
This indicator is designed for portfolio managers, asset allocators, and systematic traders who want a data-driven approach to cryptocurrency portfolio construction with automatic rebalancing signals.
🎯 Core Concept
What is RSPS?
RSPS (Relative Strength Portfolio System) evaluates each asset on two key dimensions:
Relative Strength: How is the asset performing compared to other major cryptocurrencies?
Absolute Trend: Is the asset itself in a bullish trend?
Assets that show both strong relative performance AND positive absolute trends receive higher allocations. Weak performers are automatically filtered out, with capital reallocated to cash or stronger assets.
Dual-Layer Architecture
Layer 1: Majors Portfolio (Orange Zone)
Evaluates 14 major cryptocurrency assets
Calculates relative strength against all other majors
Applies trend filters to ensure absolute momentum
Dynamically allocates capital based on comparative strength
Layer 2: Cash/Risk Position (Navy Zone)
Evaluates macro risk factors and market conditions
Determines optimal cash allocation
Acts as a risk-off mechanism during adverse conditions
Provides downside protection through dynamic cash holdings
📊 Tracked Assets
Major Cryptocurrencies (14 Assets)
BTC - Bitcoin (Benchmark L1)
ETH - Ethereum (Smart Contract L1)
SOL - Solana (High-Performance L1)
SUI - Sui (Move-Based L1)
TRX - Tron (Payment-Focused L1)
BNB - Binance Coin (Exchange L1)
XRP - Ripple (Payment Network)
FTM - Fantom (DeFi L1)
CELO - Celo (Mobile-First L1)
TAO - Bittensor (AI Network)
HYPE - Hyperliquid (DeFi Exchange)
HBAR - Hedera (Enterprise L1)
ADA - Cardano (Research-Driven L1)
THETA - Theta (Video Network)
🔧 How It Works
Step 1: Relative Strength Calculation
For each asset, the system calculates relative strength by:
RSPS Score = Average of:
- Asset/BTC trend consensus
- Asset/ETH trend consensus
- Asset/SOL trend consensus
- Asset/SUI trend consensus
- ... (all 14 pairs)
- Asset's absolute trend consensus
Key Logic:
Each pair is evaluated using the eth_4d_cal() calibration from NormalizedIndicators
If an asset's absolute trend is extremely weak (≤ 0.1), it receives a penalty score (-0.5)
Otherwise, it gets the average of all its relative strength comparisons
Step 2: Trend Filtering
Assets must pass a trend filter to receive allocation:
Trend Score = Average of:
- Asset/BTC trend (filtered for positivity)
- Asset/ETH trend (filtered for positivity)
- Asset's absolute trend (filtered for positivity)
Only positive values contribute to the trend score, ensuring bearish assets don't receive allocation.
Step 3: Portfolio Allocation
Capital is allocated proportionally based on filtered RSPS scores:
Asset Allocation % = (Asset's Filtered RSPS Score / Sum of All Filtered Scores) × Main Portfolio %
Example:
SOL filtered score: 0.6
BTC filtered score: 0.4
All others: 0
Total: 1.0
SOL receives: (0.6 / 1.0) × Main% = 60% of main portfolio
BTC receives: (0.4 / 1.0) × Main% = 40% of main portfolio
Step 4: Cash/Risk Allocation
The system evaluates macro conditions across 6 factors:
Inverse Major Crypto Trends (40% weight)
When BTC, ETH, SOL, SUI, DOGE, etc. trend down → Cash allocation increases
Evaluates total market cap trends (TOTAL, TOTAL2, OTHERS)
Stablecoin Dominance (10% weight)
USDC dominance vs. major crypto dominances
Higher stablecoin dominance → Higher cash allocation
MVRV Ratios (10% weight)
BTC and ETH Market Value to Realized Value
High MVRV (overvaluation) → Higher cash allocation
BTC/ETH Ratio (15% weight)
Relative performance between two market leaders
Indicates market phase (BTC dominance vs. alt season)
Active Address Ratios (5% weight)
USDC active addresses vs. BTC/ETH active addresses
Network activity comparison
Macro Indicators (15% weight)
Global currency circulation (USD, EUR, CNY, JPY)
Treasury yield curve (10Y-2Y)
High yield spreads
Central bank balance sheets and money supply
Cash Allocation Formula:
Cash % = (Sum of Risk Factors × 0.5) / (Risk Factors + Majors TPI)
When risk factors are elevated, cash allocation increases, reducing exposure to volatile assets.
📈 Visual Components
Orange Zone (Majors Portfolio)
Fill: Light orange area showing aggregate portfolio strength
Line: Average trend power index (TPI) of allocated assets
Baseline: 0 level (neutral)
Interpretation:
Above 0: Bullish allocation environment
Rising: Strengthening portfolio momentum
Falling: Weakening portfolio momentum
Below 0: No allocation (100% cash)
Navy Zone (Cash Position)
Fill: Navy blue area showing cash allocation strength
Line: Risk-adjusted cash allocation signal
Baseline: 0 level
Interpretation:
Higher navy zone: Elevated risk-off signal → More cash
Lower navy zone: Risk-on environment → Less cash
Zero: No cash allocation (100% invested)
Performance Line (Orange/Blue)
Orange: Main portfolio allocation dominant (risk-on mode)
Blue: Cash allocation dominant (risk-off mode)
Tracks: Cumulative portfolio returns with dynamic rebalancing
Allocation Table (Bottom Left)
Shows real-time portfolio composition:
ColumnDescriptionAssetCryptocurrency nameRSPS ValuePercentage allocation (of main portfolio)CashDollar amount (if enabled)
Color Coding:
Orange: Active allocation
Gray: Weak signal (borderline)
Blue: Cash position
Missing: No allocation (filtered out)
⚙️ Settings & Configuration
Required Setup
Chart Symbol
MUST USE: INDEX:BTCUSD or similar major crypto index
Recommended Timeframe: 1D (Daily) or 4D (4-Day)
Why: System needs price data for all 14 majors, BTC provides stable reference
Hide Chart Candles
For clean visualization:
Right-click on chart
Select "Hide Symbol" or set candle opacity to 0
This allows the indicator fills and table to be clearly visible
User Inputs
plot_table (Default: true)
Enable/disable the allocation table
Set to false if you only want the visual zones
use_cash (Default: false)
Enable portfolio dollar value calculations
Shows actual dollar allocations per asset
cash (Default: 100)
Total portfolio size in dollars/currency units
Used when use_cash is enabled
Example: Set to 10000 for a $10,000 portfolio
💡 Interpretation Guide
Entry Signals
Strong Allocation Signal:
✓ Orange zone elevated (> 0.3)
✓ Navy zone low (< 0.2)
✓ Performance line orange
✓ Multiple assets in allocation table
→ Action: Deploy capital to allocated assets per table percentages
Risk-Off Signal:
✓ Orange zone near zero
✓ Navy zone elevated (> 0.4)
✓ Performance line blue
✓ Few or no assets in table (high cash %)
→ Action: Reduce exposure, increase cash holdings
Rebalancing Triggers
Monitor the allocation table for changes:
New assets appearing: Add to portfolio
Assets disappearing: Remove from portfolio
Percentage changes: Rebalance existing positions
Cash % changes: Adjust overall exposure
Market Regime Detection
Risk-On (Bull Market):
Orange zone high and rising
Navy zone minimal
Many assets allocated (8-12)
High individual allocations (15-30% each)
Risk-Off (Bear Market):
Orange zone near zero or negative
Navy zone elevated
Few assets allocated (0-3)
Cash allocation dominant (70-100%)
Transition Phase:
Both zones moderate
Medium number of assets (4-7)
Balanced cash/asset allocation (40-60%)
🎯 Trading Strategies
Strategy 1: Pure RSPS Following
1. Check allocation table daily
2. Rebalance portfolio to match percentages
3. Follow cash allocation strictly
4. Review weekly, act on significant changes (>5%)
Best For: Systematic portfolio managers, passive allocators
Strategy 2: Threshold-Based
Entry Rules:
- Orange zone > 0.4 AND Navy zone < 0.3
- At least 5 assets in allocation table
- Total non-cash allocation > 60%
Exit Rules:
- Orange zone < 0.1 OR Navy zone > 0.5
- Fewer than 3 assets allocated
- Cash allocation > 70%
Best For: Active traders wanting clear rules
Strategy 3: Relative Strength Overlay
1. Use RSPS for broad allocation framework
2. Within allocated assets, overweight top 3 performers
3. Scale position sizes by RSPS score
4. Use individual asset charts for entry/exit timing
Best For: Discretionary traders with portfolio focus
Strategy 4: Risk-Adjusted Position Sizing
For each allocated asset:
Position Size = Base Position × (Asset's RSPS Score / Max RSPS Score) × (1 - Cash Allocation)
Example:
- $10,000 portfolio
- SOL RSPS: 0.6 (highest)
- BTC RSPS: 0.4
- Cash allocation: 30%
SOL Size = $10,000 × (0.6/0.6) × (1-0.30) = $7,000
BTC Size = $10,000 × (0.4/0.6) × (1-0.30) = $4,667
Cash = $10,000 × 0.30 = $3,000
Best For: Risk-conscious allocators
📊 Advanced Usage
Multi-Timeframe Confirmation
Use on multiple timeframes for robust signals:
1D Chart: Tactical allocation (daily rebalancing)
4D Chart: Strategic allocation (weekly review)
Strong Confirmation:
- Both timeframes show same top 3 assets
- Both show similar cash allocation levels
- Orange zones aligned on both
Weak/Conflicting:
- Different top performers
- Diverging cash allocations
→ Wait for alignment or use shorter timeframe
Sector Rotation Analysis
Group assets by type and watch rotation:
L1 Dominance: BTC, ETH, SOL, SUI, ADA high → Layer 1 season
Alt L1s: TRX, FTM, CELO rising → Alternative platform season
Specialized: TAO, THETA, HYPE strong → Niche narrative season
Payment/Stable: XRP, BNB allocation → Risk reduction phase
Divergence Trading
Bullish Divergence:
Navy zone declining (less risk-off)
Orange zone flat or slightly rising
Few assets still allocated but strengthening
→ Early accumulation signal
Bearish Divergence:
Orange zone declining
Navy zone rising
Asset count decreasing in table
→ Distribution/exit signal
Performance Tracking
The performance line (overlay) shows cumulative strategy returns:
Compare to BTC/ETH: Is RSPS outperforming?
Drawdown analysis: How deep are pullbacks?
Correlation: Does it track market or provide diversification?
🔬 Technical Details
Data Sources
Price Data:
COINEX: Primary exchange for alt data
CRYPTO: Alternative price feeds
INDEX: Aggregated index prices (recommended for BTC)
Macro Data:
Dominance metrics (SUI.D, BTC.D, etc.)
MVRV ratios (on-chain valuation)
Active addresses (network activity)
Global money supply and macro indicators
Calculation Methodology
RSPS Scoring:
For each asset, calculate 14 relative trends (vs. all others)
Calculate asset's absolute trend
Average all 15 values
Apply penalty filter for extremely weak trends (≤ 0.1)
Trend Consensus:
Uses eth_4d_cal() from NormalizedIndicators library
Combines 8 normalized indicators per measurement
Returns value from -1 (bearish) to +1 (bullish)
Performance Calculation:
Daily Return = Σ(Asset ROC × Asset Allocation)
Cumulative Performance = Previous Perf × (1 + Daily Return / 100)
Assumes perfect rebalancing and no slippage (theoretical performance).
Filtering Logic
filter() function:
pinescriptfilter(input) => input >= 0 ? input : 0
This zero-floor filter ensures:
Only positive trend values contribute to allocation
Bearish assets receive 0 weight
No short positions or inverse allocations
Anti-Manipulation Safeguards
Null Handling:
All values wrapped in nz() to handle missing data
Prevents calculation errors from data gaps
Normalization:
Allocations always sum to 100%
Prevents over/under-allocation
Conditional Logic:
Assets need positive values on multiple metrics
Single metric cannot drive allocation alone
⚠️ Important Considerations
Required Timeframes
1D (Daily): Recommended for most users
4D (4-Day): More stable, fewer rebalances
Other timeframes: Use at your own discretion, may require recalibration
Data Requirements
Needs INDEX:BTCUSD or equivalent major crypto symbol
All 14 tracked assets must have available data
Macro indicators require specific TradingView data feeds
Rebalancing Frequency
System provides daily allocation updates
Practical rebalancing: Weekly or on significant changes (>10%)
Consider transaction costs and tax implications
Performance Notes
Theoretical returns: No slippage, fees, or execution delays
Backtest carefully: Validate on your specific market conditions
Past performance: Does not guarantee future results
Risk Warnings
⚠️ High Concentration Risk: May allocate heavily to 1-3 assets
⚠️ Volatility: Crypto markets are inherently volatile
⚠️ Liquidity: Some allocated assets may have lower liquidity
⚠️ Correlation: All assets correlated to BTC/ETH to some degree
⚠️ System Risk: Relies on continued availability of data feeds
Not Financial Advice
This indicator is a tool for analysis and research. It does not constitute:
Investment advice
Portfolio management services
Trading recommendations
Guaranteed returns
Always perform your own due diligence and risk assessment.
🎓 Use Cases
For Portfolio Managers
Systematic allocation framework
Objective rebalancing signals
Risk-adjusted exposure management
Performance tracking vs. benchmarks
For Active Traders
Identify strongest assets to focus trading on
Gauge overall market regime (risk-on/off)
Time entry/exit for portfolio shifts
Complement technical analysis with allocation data
For Institutional Allocators
Quantitative portfolio construction
Multi-asset exposure optimization
Drawdown management through cash allocation
Compliance-friendly systematic approach
For Researchers
Study relative strength dynamics in crypto markets
Analyze correlation between majors
Test macro factor impact on crypto allocations
Develop derived strategies and signals
🔧 Setup Checklist
✅ Chart Configuration
Set chart to INDEX:BTCUSD
Set timeframe to 1D or 4D
Hide chart candles for clean visualization
Add indicator from library
✅ Indicator Settings
Enable plot_table (see allocation table)
Set use_cash if tracking dollar amounts
Input your portfolio size in cash parameter
✅ Monitoring Setup
Bookmark chart for daily review
Set alerts for major allocation changes (optional)
Create spreadsheet to track allocations (optional)
Establish rebalancing schedule (weekly recommended)
✅ Validation
Verify all 14 assets appear in table (when allocated)
Check that percentages sum to ~100%
Confirm performance line is tracking
Test cash allocation calculation if enabled
📋 Quick Reference
Signal Interpretation
ConditionOrange ZoneNavy ZoneActionStrong BullHigh (>0.4)Low (<0.2)Full allocationModerate BullMid (0.2-0.4)Low-MidStandard allocationNeutralLow (0.1-0.2)Mid (0.3-0.4)Balanced allocationModerate BearVery Low (<0.1)Mid-HighReduce exposureStrong BearZero/NegativeHigh (>0.5)High cash/exit
Rebalancing Thresholds
Change TypeThresholdActionIndividual asset±5%Consider rebalanceIndividual asset±10%Strongly rebalanceCash allocation±10%Adjust exposureAsset entry/exitAnyAdd/remove position
Color Legend
Orange: Main portfolio strength/allocation
Navy: Cash/risk-off allocation
Blue text: Cash position in table
Orange text: Active asset allocation
Gray text: Weak/borderline allocation
White: Headers and labels
🚀 Getting Started
Beginner Path
Add indicator to INDEX:BTCUSD daily chart
Hide candles for clarity
Enable plot_table to see allocations
Check table daily, note top 3-5 assets
Start with small allocation, observe behavior
Gradually increase allocation as you gain confidence
Intermediate Path
Set up on both 1D and 4D charts
Enable use_cash with your portfolio size
Create tracking spreadsheet
Implement weekly rebalancing schedule
Monitor divergences between timeframes
Compare performance to buy-and-hold BTC
Advanced Path
Modify code to add/remove tracked assets
Adjust relative strength calculation methodology
Customize cash allocation factors and weights
Integrate with portfolio management platform
Develop algorithmic rebalancing system
Create alerts for specific allocation conditions
📖 Additional Resources
Related Indicators
NormalizedIndicators Library: Core calculation engine
Individual asset trend indicators for deeper analysis
Macro indicator dashboards for cash allocation factors
Complementary Analysis
On-chain metrics (MVRV, active addresses, etc.)
Order book liquidity for execution planning
Correlation matrices for diversification analysis
Volatility indicators for position sizing
Learning Materials
Study relative strength portfolio theory
Research tactical asset allocation strategies
Understand crypto market cycles and phases
Learn about risk management in volatile assets
🎯 Key Takeaways
✅ Systematic allocation across 14 major cryptocurrencies
✅ Dual-layer approach: Asset selection + Cash management
✅ Relative strength focused: Invests in comparatively strong assets
✅ Trend filtering: Only allocates to assets in positive trends
✅ Dynamic rebalancing: Automatically adjusts to market conditions
✅ Risk-managed: Increases cash during adverse conditions
✅ Transparent methodology: Clear calculation logic
✅ Practical visualization: Easy-to-read table and zones
✅ Performance tracking: See cumulative strategy returns
✅ Highly customizable: Adjust assets, weights, and factors
📋 License
This code is subject to the Mozilla Public License 2.0 at mozilla.org
Majors RSPS transforms complex multi-asset portfolio management into a systematic, data-driven process. By combining relative strength analysis with trend consensus and macro risk factors, it provides traders and portfolio managers with a robust framework for navigating cryptocurrency markets with discipline and objectivity.WiederholenClaude kann Fehler machen. Bitte überprüfen Sie die Antworten. Sonnet 4.5
Reddington Trading Bot Adaptive Signals# Reddington Trading Bot Adaptive Signals — mashup disclosure & user guide
## What it is
**Reddington Trading Bot Adaptive Signals** is a **manual trading** overlay that aggregates multiple entry logics (Supertrend, Bollinger, MACD, Counter-Trend, Scalp) behind a single, adaptive filter stack (EMA trend, ADX strength, ATR regime, volume, RSI band, sessions, candle confirmation).
When a setup passes all gates, the script **marks the bar** with a label (e.g., `ST Long ####`) and plots **Entry / SL / TP / Half-TP** reference lines for discretionary execution.
> This is an **indicator**, not an autostrategy. It does not place orders or manage positions.
---
## Mashup disclosure — what’s combined and why
This script is a **mashup** designed to reduce false positives by requiring **confluence** across trend, momentum, volatility, and liquidity:
* **Trend filter (EMAs)** — `ema_short > ema_long` for longs and vice versa for shorts.
*Why:* prevents fighting the dominant direction.
* **Supertrend direction** — uses `ta.supertrend()` to pick continuation states.
*Why:* captures impulse while controlling whipsaw.
* **Bollinger context** — upper/lower band interaction for breakout/overshoot logic.
*Why:* detects expansion and extreme deviations.
* **MACD cross (12/26/9)** — confirms momentum turns with `ta.macd`.
*Why:* times transitions into continuation.
* **RSI band** — between configurable overbought/oversold levels.
*Why:* avoids chasing exhaustion.
* **ADX strength (manual DI+/DI− → DX → RMA)** — trend quality gate.
*Why:* filters out chop when trend quality is weak.
* **ATR regime window** — ATR between low/high multiples of its baseline.
*Why:* trades when volatility is “tradable”, not too thin or too wild.
* **Volume filter** — volume ≥ SMA(volume, N).
*Why:* favors liquid conditions and cleaner ticks.
* **Session gate (Asia/EU/US)** — run only in chosen UTC windows.
*Why:* aligns with hours of depth, fewer fake breaks.
* **Candle confirmation** — simple **bar-over-bar**/**bar-under-bar** check.
*Why:* a last safety check to avoid immediate reversals.
The **strength** of the mashup is that each module covers a blind spot of the others, so a signal only prints when *trend + momentum + volatility + liquidity* line up.
---
## Non-repaint & timing notes
* The script **does not** use `request.security()`; all logic is computed on the active chart TF with standard Pine series semantics.
* Conditions can evolve **intra-bar**. For conservative usage, **confirm on bar close** before executing.
* Plotted levels (Entry/SL/TP/Half-TP) are reference guides; fills depend on your execution and venue slippage.
---
## Inputs (concise)
* **Supertrend multiplier**; **ADX threshold**; ATR low/high multiples; **RSI overbought/oversold**.
* **Sessions**: enable/disable Asia, Europe, America (UTC).
* Internal periods are **auto-scaled** from a 300-sec base via `timeframe.in_seconds()`, adapting the signal windows to your chart TF.
---
## Entry families (built-in)
* **ST (Supertrend continuation)**
Long: ST up + EMA short>long + below BB upper + ADX>th + volume/ATR/RSI ok + candle confirm + session.
Short: symmetric.
* **BB (Bollinger context)**
Long: close > BB upper + quality gates; Short: close < BB lower + quality gates.
* **MACD (momentum cross)**
Cross up/down with quality gates and candle confirm.
* **CT (Counter-trend poke)**
Long: close < BB lower with distance to middle > 1% and RSI<50; Short: mirror.
*Use sparingly; relies on strong quality gates to avoid catching knives.*
* **SC (Scalp EMA5/EMA10 cross)**
With mid-RSI, ADX>20, and all quality gates.
**Position state** is tracked internally (series vars) so that once in a trade, the script monitors **SL**, **Half-TP**, and **TP** hits and prints corresponding labels.
---
## On-chart visuals
* **Entry/SL/TP/Half-TP** lines (cross style), visible **only while a position is tracked**.
* **Bar labels** on entry (` Long/Short ####`), on SL/TP/Half events.
* A small **session/ticker/TF tag** on the last bar.
---
## How to trade it (suggested checklist)
1. **Wait for the label** (e.g., `ST Long …`) and check that all quality filters are green (they are enforced inside the code).
2. Execute **at your discretion** (market/limit); the script’s **Entry** level is the reference (close or your own limit).
3. Place **SL/TP** according to the printed levels; optionally scale at **Half-TP**.
4. Prefer **bar-close confirmation** on faster TFs to reduce intra-bar noise.
5. Respect your own risk rules (position sizing, max daily loss, news filter).
---
## Recommended timeframes & markets
* Designed for **intraday** use (e.g., **5m–15m**) where volume and sessions matter.
* Works on crypto perpetuals/spot and liquid FX/CFD symbols; threshold tuning may be required per venue.
---
## Limitations & tips
* It’s **one** layer of confirmation; don’t force trades in flat liquidity or into major news.
* CT/Scalp entries are more sensitive to noise; if you prefer higher selectivity, raise **ADX threshold** and narrow **ATR window**.
* Because conditions can change **within a bar**, **alerts** are best set to trigger **on bar close** if you add `alertcondition()` hooks (not included in this base).
---
## Disclaimer
This script is for **educational purposes only** and does **not** constitute financial advice, investment recommendation, solicitation, or an offer to buy/sell any instrument. Trading involves risk; past results do not guarantee future performance. You are solely responsible for your trading decisions and outcomes.
Binary Options Gold Scalping [TradingFinder] 1 & 5 Min Strategy🔵 Introduction
In binary options trading, price movements are often driven by the market’s tendency to reach key liquidity zones. These areas include Liquidity, Fair Value Gaps (FVGs), and Order Blocks (OBs), zones where a large number of pending orders are concentrated.
When price reaches one of these zones, it typically enters a Liquidity Sweep phase to collect available liquidity. After this process, the market often reacts sharply, either reversing direction or continuing its move with renewed momentum. Understanding this cycle forms the foundation of most smart money-based binary options strategies.
In this analytical approach, a Liquidity Sweep is usually seen as a False Breakout, often recognized through a distinctive candle confirmation pattern. The pattern appears when price briefly breaks a level to trigger stops, then quickly returns within range. This formation is one of the most reliable reversal signals for short-term trades and plays a central role in many binary options strategies.
After a liquidity sweep, price often returns to Fair Value Gap (FVG) or Order Block (OB) areas to restore balance in the market. These are zones where institutional orders are typically placed, and reactions around them can create high-probability trade setups. In binary options trading, this quick reaction following a sweep and retrace into an FVG or OB provides one of the best entry opportunities for short-term trades.
By combining the concepts of Liquidity Sweep, Fair Value Gap, and Order Block, traders can build a precise binary options strategy based on smart money behavior, allowing them to identify market reversals with greater confidence and enter at the optimal moment.
Bullish Setup :
Bearish Setup :
🔵 How to Use
This indicator is built on the Smart Money Concept (SMC) framework and serves as a core tool for accurately detecting Liquidity Sweeps, Order Blocks, and Fair Value Gaps in binary options trading.
Its logic is simple yet powerful : when price reaches high-interest liquidity zones and shows reversal signs, the indicator issues an entry signal immediately after a Candle Confirmation is complete.
Signals only activate when both the market structure and the candle confirmation pattern align, ensuring high accuracy in spotting genuine reversals.
🟣 Long Position
A bullish signal appears when the market, after a downward move, reaches sell-side liquidity zones where liquidity has built up below previous lows. In such conditions, a bullish Order Block or Fair Value Gap often exists in the same region, acting as a potential reversal point.
When the indicator detects the presence of liquidity, an imbalance zone (FVG), and a valid candle confirmation simultaneously, it triggers a green Call signal.
In a binary options strategy, the best entry moment is immediately after the candle confirmation closes, as this is when the probability of reversal is highest and the market tends to react strongly within the next few candles.
In the example below, after the liquidity sweep and candle confirmation, price quickly rallied, resulting in a Binary Win setup.
🟣 Short Position
A bearish signal occurs when price, after an upward move, reaches an area of buy-side liquidity and collects liquidity above recent highs. At this stage, the market is typically overbought and ready to reverse. If a bearish Order Block or Fair Value Gap exists in the same area and a candle confirmation pattern forms, the indicator displays a red Put signal.
This setup is highly accurate because multiple structural confirmations occur simultaneously : liquidity has been absorbed, price is rebalancing, and the confirmation candle has closed.
In binary options trading, this is the ideal moment to enter a Put (Sell) position, as the price reaction to the downside is usually quick and decisive.
In the example chart, the indicator generated a bearish signal right after the candle confirmation and completion of the liquidity sweep, price then dropped within minutes, resulting in another Binary Win.
🔵 Settings
Time Frame : Select the desired timeframe for analysis. If left blank, the indicator uses the chart’s current timeframe.
Swing Period : Defines how many candles are used to detect structural pivots (swing highs and lows). A higher value increases accuracy but reduces the number of signals.
Candle Pattern : Enables candle-based confirmation logic. When turned on, the indicator issues signals only if a valid reversal pattern is detected. You can also choose the confirmation filter strength, tighter filters show fewer but more precise signals.
🔵 Conclusion
A deep understanding of Liquidity Sweeps, Order Blocks, and Fair Value Gaps can make a decisive difference between ordinary and professional traders in the binary options market.
This indicator, combining smart money logic with candle confirmation, is one of the most precise tools for detecting true market reversals. When liquidity is collected and structural reversal signs emerge, the indicator automatically recognizes the price reaction and generates a reliable Call or Put signal.
Using this tool alongside market structure analysis and FVG detection allows traders to enter high-probability setups while filtering out false breakouts. For that reason, this binary options strategy is not only suitable for short-term trading but also valuable for understanding deeper smart-money behavior across timeframes.
Ultimately, success with this system comes down to two key principles: understanding the logic of the liquidity sweep and waiting for the candle confirmation to close. When these two conditions align, the indicator can pinpoint the best entry points with remarkable precision, helping you build a structured, intelligent, and profitable binary options strategy.
Market structure + TF Bucket Market Structure + TF Bucket
This Pine Script™ indicator, published under the Mozilla Public License 2.0, extends the "Market Structure" script by mickes (), with full credit to mickes. It integrates the enhanced MarketStructure library by Fenomentn (), also based on mickes’ library under MPL 2.0, to provide advanced market structure analysis with multi-timeframe pivot length customization.
Functionality
Market Structure Analysis: Detects internal (orderflow) and swing market structures, visualizing Break of Structure (BOS), Change of Character (CHoCH), Equal High/Low (EQH/EQL), and liquidity zones using the MarketStructure library.
Timeframe Bucket (TF Bucket): Dynamically adjusts pivot lengths for six user-defined timeframes (e.g., 3m, 5m, 10m, 15m, 4h, 12h), optimizing structure detection across different chart timeframes.
Trend Strength Visualization: Displays a trend strength metric (from the library) for internal and swing structures, indicating trend reliability based on pivot frequency and volatility.
Statistics Table: Shows yearly counts of BOS and CHoCH events for internal and swing structures, configurable by a user-defined period.
Screener Support: Outputs BOS and CHoCH signals for TradingView’s screener, with a configurable signal persistence period.
Customizable Alerts: Enables alerts for BOS and CHoCH events, separately configurable for internal and swing structures.
Methodology
Pivot Detection: Uses the library’s Pivot function, which applies a volatility filter (ATR-based) to confirm significant pivots, reducing false signals in low-volatility markets.
TF Bucket: Maps user-selected timeframes to Pine Script’s timeframe.period using f_getTimeframePeriod, applying custom pivot lengths when the chart’s timeframe matches a selected one (or base lengths in Static mode).
Trend Strength: Calculates a score as pivotCount / LeftLength * (currentATR / ATR), displayed via labels to help traders assess trend reliability.
BOS/CHoCH Detection: Identifies BOS when price breaks a pivot in the trend direction and CHoCH when price reverses against the trend, labeling events as “MSF” or “MSF+” based on pivot patterns.
EQH/EQL and Liquidity: Draws boxes for equal high/low zones within ATR-based thresholds and visualizes liquidity levels with confirmation bars.
Statistics and Screener: Tracks BOS/CHoCH events in a yearly table and outputs signals for screener use, with persistence controlled by a user-defined period.
Usage
Integration: Apply the indicator to any chart and import the library via import Fenomentn/MarketStructure/1.
Configuration: Set up to six timeframes with custom pivot lengths, enable/disable internal and swing structures, configure alerts, and adjust statistics years in the settings panel.
Alerts: Enable BOS and CHoCH alerts for real-time notifications, triggered on bar close to avoid repainting.
Screener: Use the plotted signals to monitor BOS/CHoCH events across multiple tickers in TradingView’s screener.
Best Practices: Optimal for forex and crypto charts on 1m to 12h timeframes. Adjust pivot lengths and the library’s volatility threshold for specific market conditions.
Originality
This indicator enhances mickes’ original script with:
Timeframe Bucket: Dynamic pivot length selection for multi-timeframe analysis, not present in the original.
Trend Strength Display: Visualizes the library’s TrendStrength metric for enhanced trend analysis.
Enhanced Library Integration: Leverages Fenomentn/MarketStructure/1, which adds a volatility-based pivot filter, dynamic label sizing, and customizable BOS/CHoCH visualization styles.No additional open-source code was reused beyond mickes’ script and library, fully credited under MPL 2.0.
Advanced ICT Theory - A-ICT📊 Advanced ICT Theory (A-ICT): The Institutional Manipulation Detector
Are you tired of being the liquidity? Stop chasing shadows and start tracking the architects of price movement.
This is not another lagging indicator. This is a complete framework for viewing the market through the lens of institutional traders. Advanced ICT Theory (A-ICT) is an all-in-one, military-grade analysis engine designed to decode the complex language of "Smart Money." It automates the core tenets of Inner Circle Trader (ICT) methodology, moving beyond simple patterns to build a dynamic, real-time narrative of market manipulation, liquidity engineering, and institutional order flow.
AIT provides a living blueprint of the market, identifying high-probability zones, tracking structural shifts, and scoring the quality of setups with a sophisticated, multi-factor algorithm. This is your X-ray into the market's true intentions.
🔬 THE CORE ENGINE: DECODING THE THEORY & FORMULAS
A-ICT is built upon a sophisticated, multi-layered logic system that interprets price action as a story of cause and effect. It does not guess; it confirms. Here is the foundational theory that drives the engine:
1. Market Structure: The Blueprint of Trend
The script first establishes a deep understanding of the market's skeleton through multi-level pivot analysis. It uses ta.pivothigh and ta.pivotlow to identify significant swing points.
Internal Structure (iBOS): Minor swings that show the short-term order flow. A break of internal structure is the first whisper of a potential shift.
External Structure (eBOS): Major swing points that define the primary trend. A confirmed break of external structure is a powerful statement of trend continuation. AIT validates this with optional Volume Confirmation (volume > volumeSMA * 1.2) and Candle Confirmation to ensure the break is driven by institutional force, not just a random spike.
Change of Character (CHoCH): This is the earthquake. A CHoCH occurs when a confirmed eBOS happens against the prevailing trend (e.g., a bearish eBOS in a clear uptrend). A-ICT flags this immediately, as it is the strongest signal that the primary trend is under threat of reversal.
2. Liquidity Engineering: The Fuel of the Market
Institutions don't buy into strength; they buy into weakness. They need liquidity. A-ICT maps these liquidity pools with forensic precision:
Buyside & Sellside Liquidity (BSL/SSL): Using ta.highest and ta.lowest, AIT identifies recent highs and lows where clusters of stop-loss orders (liquidity) are resting. These are institutional targets.
Liquidity Sweeps: This is the "manipulation" part of the detector. AIT has a specific formula to detect a sweep: high > bsl and close < bsl . This signifies that institutions pushed price just high enough to trigger buy-stops before aggressively selling—a classic "stop hunt." This event dramatically increases the quality score of subsequent patterns.
3. The Element Lifecycle: From Potential to Power
This is the revolutionary heart of A-ICT. Zones are not static; they have a lifecycle. AIT tracks this with its dynamic classification engine.
Phase 1: PENDING (Yellow): The script identifies a potential zone of interest based on a specific candle formation (a "displacement"). It is marked as "Pending" because its true nature is unknown. It is a question.
Phase 2: CLASSIFICATION: After the zone is created, AIT watches what happens next. The zone's identity is defined by its actions:
ORDER BLOCK (Blue): The highest-grade element. A zone is classified as an Order Block if it directly causes a Break of Structure (BOS) . This is the footprint of institutions entering the market with enough force to validate the new trend direction.
TRAP ZONE (Orange): A zone is classified as a Trap Zone if it is directly involved in a Liquidity Sweep . This indicates the zone was used to engineer liquidity, setting a "trap" for retail traders before a reversal.
REVERSAL / S&R ZONE (Green): If a zone is not powerful enough to cause a BOS or a major sweep, but still serves as a pivot point, it's classified as a general support/resistance or reversal zone.
4. Market Inefficiencies: Gaps in the Matrix
Fair Value Gaps (FVG): AIT detects FVGs—a 3-bar pattern indicating an imbalance—with a strict formula: low > high (for a bullish FVG) and gapSize > atr14 * 0.5. This ensures only significant, volatile gaps are shown. An FVG co-located with an Order Block is a high-confluence setup.
5. Premium & Discount: The Law of Value
Institutions buy at wholesale (Discount) and sell at retail (Premium). AIT uses a pdLookback to define the current dealing range and divides it into three zones: Premium (sell zone), Discount (buy zone), and Equilibrium. An element's quality score is massively boosted if it aligns with this principle (e.g., a bullish Order Block in a Discount zone).
⚙️ THE CONTROL PANEL: A COMPLETE GUIDE TO THE INPUTS MENU
Every setting is a lever, allowing you to tune the AIT engine to your exact specifications. Master these to unlock the script's full potential.
🎯 A-ICT Detection Engine
Min Displacement Candles: Controls the sensitivity of element detection. How it works: It defines the number of subsequent candles that must be "inside" a large parent candle. Best practice: Use 2-3 for a balanced view on most timeframes. A higher number (4-5) will find only major, more significant zones, ideal for swing trading. A lower number (1) is highly sensitive, suitable for scalping.
Mitigation Method: Defines when a zone is considered "used up" or mitigated. How it works: Cross triggers as soon as price touches the zone's boundary. Close requires a candle to fully close beyond it. Best practice: Cross is more responsive for fast-moving markets. Close is more conservative and helps filter out fake-outs caused by wicks, making it safer for confirmations.
Min Element Size (ATR): A crucial noise filter. How it works: It requires a detected zone to be at least this multiple of the Average True Range (ATR). Best practice: Keep this around 0.5. If you see too many tiny, irrelevant zones, increase this value to 0.8 or 1.0. If you feel the script is missing smaller but valid zones, decrease it to 0.3.
Age Threshold & Pending Timeout: These manage visual clutter. How they work: Age Threshold removes old, mitigated elements after a set number of bars. Pending Timeout removes a "Pending" element if it isn't classified within a certain window. Best practice: The default settings are optimized. If your chart feels cluttered, reduce the Age Threshold. If pending zones disappear too quickly, increase the Pending Timeout.
Min Quality Threshold: Your primary visual filter. How it works: It hides all elements (boxes, lines, labels) that do not meet this minimum quality score (0-100). Best practice: Start with the default 30. To see only A- or B-grade setups, increase this to 60 or 70 for an exceptionally clean, high-probability view.
🏗️ Market Structure
Lookbacks (Internal, External, Major): These define the sensitivity of the trend analysis. How they work: They set the number of bars to the left and right for pivot detection. Best practice: Use smaller values for Internal (e.g., 3) to see minor structure and larger values for External (e.g., 10-15) to map the main trend. For a macro, long-term view, increase the Major Swing Lookback.
Require Volume/Candle Confirmation: Toggles for quality control on BOS/CHoCH signals. Best practice: It is highly recommended to keep these enabled. Disabling them will result in more structure signals, but many will be false alarms. They are your filter against market noise.
... (Continue this detailed breakdown for every single input group: Display Configuration, Zones Style, Levels Appearance, Colors, Dashboards, MTF, Liquidity, Premium/Discount, Sessions, and IPDA).
📊 THE INTELLIGENCE DASHBOARDS: YOUR COMMAND CENTER
The dashboards synthesize all the complex analysis into a simple, actionable intelligence briefing.
Main Dashboard (Bottom Right)
ICT Metrics & Breakdown: This is your statistical overview. Total Elements shows how much structure the script is tracking. High Quality instantly tells you if there are any A/B grade setups nearby. Unmitigated vs. Mitigated shows the balance of fresh opportunities versus resolved price action. The breakdown by Order Blocks, Trap Zones, etc., gives you a quick read on the market's recent character.
Structure & Market Context: This is your core bias. Order Flow tells you the current script-determined trend. Last BOS shows you the most recent structural event. CHoCH Active is a critical warning. HTF Bias shows if you are aligned with the higher timeframe—the checkmark (✓) for alignment is one of the most important confluence factors.
Smart Money Flow: A volume-based sentiment gauge. Net Flow shows the raw buying vs. selling pressure, while the Bias provides an interpretation (e.g., "STRONG BULLISH FLOW").
Key Guide (Large Dashboard only): A built-in legend so you never have to guess. It defines every pattern, structure type, and special level visually.
📖 Narrative Dashboard (Bottom Left)
This is the "story" of the market, updated in real-time. It's designed to build your trading thesis.
Recent Elements Table: A live list of the most recent, high-quality setups. It displays the Type , its Narrative Role (e.g., "Bullish OB caused BOS"), its raw Quality percentage, and its final Trade Score grade. This is your at-a-glance opportunity scanner.
Market Narrative Section: This is the soul of A-ICT. It combines all data points into a human-readable story:
📍 Current Phase: Tells you if you are in a high-volatility Killzone or a consolidation phase like the Asian Range.
🎯 Bias & Alignment: Your primary direction, with a clear indicator of HTF alignment or conflict.
🔗 Events: A causal sequence of recent events, like "💧 Sell-side liquidity swept →
📊 Bullish BOS → 🎯 Active Order Block".
🎯 Next Expectation: The script's logical conclusion. It provides a specific, forward-looking hypothesis, such as "📉 Pullback expected to bullish OB at 1.2345 before continuation up."
🎨 READING THE BATTLEFIELD: A VISUAL INTERPRETATION GUIDE
Every color and line is a piece of information. Learn to read them together to see the full picture.
The Core Zones (Boxes):
Blue Box (Order Block): Highest probability zone for trend continuation. Look for entries here.
Orange Box (Trap Zone): A manipulation footprint. Expect a potential reversal after price interacts with this zone.
Green Box (Reversal/S&R): A standard pivot area. A good reference point but requires more confluence.
Purple Box (FVG): A market imbalance. Acts as a magnet for price. An FVG inside an Order Block is an A+ confluence.
The Structural Lines:
Green/Red Line (eBOS): Confirms the trend direction. A break above the green line is bullish; a break below the red line is bearish.
Thick Orange Line (CHoCH): WARNING. The previous trend is now in question. The market character has changed.
Blue/Red Lines (BSL/SSL): Liquidity targets. Expect price to gravitate towards these lines. A dotted line with a checkmark (✓) means the liquidity has been "swept" or "purged."
How to Synthesize: The magic is in the confluence. A perfect setup might look like this: Price sweeps below a red SSL line , enters a green Discount Zone during the NY Killzone , and forms a blue Order Block which then causes a green eBOS . This sequence, visible at a glance, is the story of a high-probability long setup.
🔧 THE ARCHITECT'S VISION: THE DEVELOPMENT JOURNEY
A-ICT was forged from the frustration of using lagging indicators in a market that is forward-looking. Traditional tools are reactive; they tell you what happened. The vision for A-ICT was to create a proactive engine that could anticipate institutional behavior by understanding their objectives: liquidity and efficiency. The development process was centered on creating a "lifecycle" for price patterns—the idea that a zone's true meaning is only revealed by its consequence. This led to the post-breakout classification system and the narrative-building engine. It's designed not just to show you patterns, but to tell you their story.
⚠️ RISK DISCLAIMER & BEST PRACTICES
Advanced ICT Theory (A-ICT) is a professional-grade analytical tool and does not provide financial advice or direct buy/sell signals. Its analysis is based on historical price action and probabilities. All forms of trading involve substantial risk. Past performance is not indicative of future results. Always use this tool as part of a comprehensive trading plan that includes your own analysis and a robust risk management strategy. Do not trade based on this indicator alone.
観の目つよく、見の目よわく
"Kan no me tsuyoku, ken no me yowaku"
— Miyamoto Musashi, The Book of Five Rings
English: "Perceive that which cannot be seen with the eye."
— Dskyz, Trade with insight. Trade with anticipation.
Aetherium Institutional Market Resonance EngineAetherium Institutional Market Resonance Engine (AIMRE)
A Three-Pillar Framework for Decoding Institutional Activity
🎓 THEORETICAL FOUNDATION
The Aetherium Institutional Market Resonance Engine (AIMRE) is a multi-faceted analysis system designed to move beyond conventional indicators and decode the market's underlying structure as dictated by institutional capital flow. Its philosophy is built on a singular premise: significant market moves are preceded by a convergence of context , location , and timing . Aetherium quantifies these three dimensions through a revolutionary three-pillar architecture.
This system is not a simple combination of indicators; it is an integrated engine where each pillar's analysis feeds into a central logic core. A signal is only generated when all three pillars achieve a state of resonance, indicating a high-probability alignment between market organization, key liquidity levels, and cyclical momentum.
⚡ THE THREE-PILLAR ARCHITECTURE
1. 🌌 PILLAR I: THE COHERENCE ENGINE (THE 'CONTEXT')
Purpose: To measure the degree of organization within the market. This pillar answers the question: " Is the market acting with a unified purpose, or is it chaotic and random? "
Conceptual Framework: Institutional campaigns (accumulation or distribution) create a non-random, organized market environment. Retail-driven or directionless markets are characterized by "noise" and chaos. The Coherence Engine acts as a filter to ensure we only engage when institutional players are actively steering the market.
Formulaic Concept:
Coherence = f(Dominance, Synchronization)
Dominance Factor: Calculates the absolute difference between smoothed buying pressure (volume-weighted bullish candles) and smoothed selling pressure (volume-weighted bearish candles), normalized by total pressure. A high value signifies a clear winner between buyers and sellers.
Synchronization Factor: Measures the correlation between the streams of buying and selling pressure over the analysis window. A high positive correlation indicates synchronized, directional activity, while a negative correlation suggests choppy, conflicting action.
The final Coherence score (0-100) represents the percentage of market organization. A high score is a prerequisite for any signal, filtering out unpredictable market conditions.
2. 💎 PILLAR II: HARMONIC LIQUIDITY MATRIX (THE 'LOCATION')
Purpose: To identify and map high-impact institutional footprints. This pillar answers the question: " Where have institutions previously committed significant capital? "
Conceptual Framework: Large institutional orders leave indelible marks on the market in the form of anomalous volume spikes at specific price levels. These are not random occurrences but are areas of intense historical interest. The Harmonic Liquidity Matrix finds these footprints and consolidates them into actionable support and resistance zones called "Harmonic Nodes."
Algorithmic Process:
Footprint Identification: The engine scans the historical lookback period for candles where volume > average_volume * Institutional_Volume_Filter. This identifies statistically significant volume events.
Node Creation: A raw node is created at the mean price of the identified candle.
Dynamic Clustering: The engine uses an ATR-based proximity algorithm. If a new footprint is identified within Node_Clustering_Distance (ATR) of an existing Harmonic Node, it is merged. The node's price is volume-weighted, and its magnitude is increased. This prevents chart clutter and consolidates nearby institutional orders into a single, more significant level.
Node Decay: Nodes that are older than the Institutional_Liquidity_Scanback period are automatically removed from the chart, ensuring the analysis remains relevant to recent market dynamics.
3. 🌊 PILLAR III: CYCLICAL RESONANCE MATRIX (THE 'TIMING')
Purpose: To identify the market's dominant rhythm and its current phase. This pillar answers the question: " Is the market's immediate energy flowing up or down? "
Conceptual Framework: Markets move in waves and cycles of varying lengths. Trading in harmony with the current cyclical phase dramatically increases the probability of success. Aetherium employs a simplified wavelet analysis concept to decompose price action into short, medium, and long-term cycles.
Algorithmic Process:
Cycle Decomposition: The engine calculates three oscillators based on the difference between pairs of Exponential Moving Averages (e.g., EMA8-EMA13 for short cycle, EMA21-EMA34 for medium cycle).
Energy Measurement: The 'energy' of each cycle is determined by its recent volatility (standard deviation). The cycle with the highest energy is designated as the "Dominant Cycle."
Phase Analysis: The engine determines if the dominant cycles are in a bullish phase (rising from a trough) or a bearish phase (falling from a peak).
Cycle Sync: The highest conviction timing signals occur when multiple cycles (e.g., short and medium) are synchronized in the same direction, indicating broad-based momentum.
🔧 COMPREHENSIVE INPUT SYSTEM
Pillar I: Market Coherence Engine
Coherence Analysis Window (10-50, Default: 21): The lookback period for the Coherence Engine.
Lower Values (10-15): Highly responsive to rapid shifts in market control. Ideal for scalping but can be sensitive to noise.
Balanced (20-30): Excellent for day trading, capturing the ebb and flow of institutional sessions.
Higher Values (35-50): Smoother, more stable reading. Best for swing trading and identifying long-term institutional campaigns.
Coherence Activation Level (50-90%, Default: 70%): The minimum market organization required to enable signal generation.
Strict (80-90%): Only allows signals in extremely clear, powerful trends. Fewer, but potentially higher quality signals.
Standard (65-75%): A robust filter that effectively removes choppy conditions while capturing most valid institutional moves.
Lenient (50-60%): Allows signals in less-organized markets. Can be useful in ranging markets but may increase false signals.
Pillar II: Harmonic Liquidity Matrix
Institutional Liquidity Scanback (100-400, Default: 200): How far back the engine looks for institutional footprints.
Short (100-150): Focuses on recent institutional activity, providing highly relevant, immediate levels.
Long (300-400): Identifies major, long-term structural levels. These nodes are often extremely powerful but may be less frequent.
Institutional Volume Filter (1.3-3.0, Default: 1.8): The multiplier for detecting a volume spike.
High (2.5-3.0): Only registers climactic, undeniable institutional volume. Fewer, but more significant nodes.
Low (1.3-1.7): More sensitive, identifying smaller but still relevant institutional interest.
Node Clustering Distance (0.2-0.8 ATR, Default: 0.4): The ATR-based distance for merging nearby nodes.
High (0.6-0.8): Creates wider, more consolidated zones of liquidity.
Low (0.2-0.3): Creates more numerous, precise, and distinct levels.
Pillar III: Cyclical Resonance Matrix
Cycle Resonance Analysis (30-100, Default: 50): The lookback for determining cycle energy and dominance.
Short (30-40): Tunes the engine to faster, shorter-term market rhythms. Best for scalping.
Long (70-100): Aligns the timing component with the larger primary trend. Best for swing trading.
Institutional Signal Architecture
Signal Quality Mode (Professional, Elite, Supreme): Controls the strictness of the three-pillar confluence.
Professional: Loosest setting. May generate signals if two of the three pillars are in strong alignment. Increases signal frequency.
Elite: Balanced setting. Requires a clear, unambiguous resonance of all three pillars. The recommended default.
Supreme: Most stringent. Requires perfect alignment of all three pillars, with each pillar exhibiting exceptionally strong readings (e.g., coherence > 85%). The highest conviction signals.
Signal Spacing Control (5-25, Default: 10): The minimum bars between signals to prevent clutter and redundant alerts.
🎨 ADVANCED VISUAL SYSTEM
The visual architecture of Aetherium is designed not merely for aesthetics, but to provide an intuitive, at-a-glance understanding of the complex data being processed.
Harmonic Liquidity Nodes: The core visual element. Displayed as multi-layered, semi-transparent horizontal boxes.
Magnitude Visualization: The height and opacity of a node's "glow" are proportional to its volume magnitude. More significant nodes appear brighter and larger, instantly drawing the eye to key levels.
Color Coding: Standard nodes are blue/purple, while exceptionally high-magnitude nodes are highlighted in an accent color to denote critical importance.
🌌 Quantum Resonance Field: A dynamic background gradient that visualizes the overall market environment.
Color: Shifts from cool blues/purples (low coherence) to energetic greens/cyans (high coherence and organization), providing instant context.
Intensity: The brightness and opacity of the field are influenced by total market energy (a composite of coherence, momentum, and volume), making powerful market states visually apparent.
💎 Crystalline Lattice Matrix: A geometric web of lines projected from a central moving average.
Mathematical Basis: Levels are projected using multiples of the Golden Ratio (Phi ≈ 1.618) and the ATR. This visualizes the natural harmonic and fractal structure of the market. It is not arbitrary but is based on mathematical principles of market geometry.
🧠 Synaptic Flow Network: A dynamic particle system visualizing the engine's "thought process."
Node Density & Activation: The number of particles and their brightness/color are tied directly to the Market Coherence score. In high-coherence states, the network becomes a dense, bright, and organized web. In chaotic states, it becomes sparse and dim.
⚡ Institutional Energy Waves: Flowing sine waves that visualize market volatility and rhythm.
Amplitude & Speed: The height and speed of the waves are directly influenced by the ATR and volume, providing a feel for market energy.
📊 INSTITUTIONAL CONTROL MATRIX (DASHBOARD)
The dashboard is the central command console, providing a real-time, quantitative summary of each pillar's status.
Header: Displays the script title and version.
Coherence Engine Section:
State: Displays a qualitative assessment of market organization: ◉ PHASE LOCK (High Coherence), ◎ ORGANIZING (Moderate Coherence), or ○ CHAOTIC (Low Coherence). Color-coded for immediate recognition.
Power: Shows the precise Coherence percentage and a directional arrow (↗ or ↘) indicating if organization is increasing or decreasing.
Liquidity Matrix Section:
Nodes: Displays the total number of active Harmonic Liquidity Nodes currently being tracked.
Target: Shows the price level of the nearest significant Harmonic Node to the current price, representing the most immediate institutional level of interest.
Cycle Matrix Section:
Cycle: Identifies the currently dominant market cycle (e.g., "MID ") based on cycle energy.
Sync: Indicates the alignment of the cyclical forces: ▲ BULLISH , ▼ BEARISH , or ◆ DIVERGENT . This is the core timing confirmation.
Signal Status Section:
A unified status bar that provides the final verdict of the engine. It will display "QUANTUM SCAN" during neutral periods, or announce the tier and direction of an active signal (e.g., "◉ TIER 1 BUY ◉" ), highlighted with the appropriate color.
🎯 SIGNAL GENERATION LOGIC
Aetherium's signal logic is built on the principle of strict, non-negotiable confluence.
Condition 1: Context (Coherence Filter): The Market Coherence must be above the Coherence Activation Level. No signals can be generated in a chaotic market.
Condition 2: Location (Liquidity Node Interaction): Price must be actively interacting with a significant Harmonic Liquidity Node.
For a Buy Signal: Price must be rejecting the Node from below (testing it as support).
For a Sell Signal: Price must be rejecting the Node from above (testing it as resistance).
Condition 3: Timing (Cycle Alignment): The Cyclical Resonance Matrix must confirm that the dominant cycles are synchronized with the intended trade direction.
Signal Tiering: The Signal Quality Mode input determines how strictly these three conditions must be met. 'Supreme' mode, for example, might require not only that the conditions are met, but that the Market Coherence is exceptionally high and the interaction with the Node is accompanied by a significant volume spike.
Signal Spacing: A final filter ensures that signals are spaced by a minimum number of bars, preventing over-alerting in a single move.
🚀 ADVANCED TRADING STRATEGIES
The Primary Confluence Strategy: The intended use of the system. Wait for a Tier 1 (Elite/Supreme) or Tier 2 (Professional/Elite) signal to appear on the chart. This represents the alignment of all three pillars. Enter after the signal bar closes, with a stop-loss placed logically on the other side of the Harmonic Node that triggered the signal.
The Coherence Context Strategy: Use the Coherence Engine as a standalone market filter. When Coherence is high (>70%), favor trend-following strategies. When Coherence is low (<50%), avoid new directional trades or favor range-bound strategies. A sharp drop in Coherence during a trend can be an early warning of a trend's exhaustion.
Node-to-Node Trading: In a high-coherence environment, use the Harmonic Liquidity Nodes as both entry points and profit targets. For example, after a BUY signal is generated at one Node, the next Node above it becomes a logical first profit target.
⚖️ RESPONSIBLE USAGE AND LIMITATIONS
Decision Support, Not a Crystal Ball: Aetherium is an advanced decision-support tool. It is designed to identify high-probability conditions based on a model of institutional behavior. It does not predict the future.
Risk Management is Paramount: No indicator can replace a sound risk management plan. Always use appropriate position sizing and stop-losses. The signals provided are probabilistic, not certainties.
Past Performance Disclaimer: The market models used in this script are based on historical data. While robust, there is no guarantee that these patterns will persist in the future. Market conditions can and do change.
Not a "Set and Forget" System: The indicator performs best when its user understands the concepts behind the three pillars. Use the dashboard and visual cues to build a comprehensive view of the market before acting on a signal.
Backtesting is Essential: Before applying this tool to live trading, it is crucial to backtest and forward-test it on your preferred instruments and timeframes to understand its unique behavior and characteristics.
🔮 CONCLUSION
The Aetherium Institutional Market Resonance Engine represents a paradigm shift from single-variable analysis to a holistic, multi-pillar framework. By quantifying the abstract concepts of market context, location, and timing into a unified, logical system, it provides traders with an unprecedented lens into the mechanics of institutional market operations.
It is not merely an indicator, but a complete analytical engine designed to foster a deeper understanding of market dynamics. By focusing on the core principles of institutional order flow, Aetherium empowers traders to filter out market noise, identify key structural levels, and time their entries in harmony with the market's underlying rhythm.
"In all chaos there is a cosmos, in all disorder a secret order." - Carl Jung
— Dskyz, Trade with insight. Trade with confluence. Trade with Aetherium.
Radi IQ [TradingIQ]Introducing "Radi IQ".
Radi IQ is a comprehensive market structure indicator designed to provide traders with a detailed view of key price levels and market behavior. It combines several analytical methods—including internal and external structure analysis, fair value gaps, order blocks, breaker blocks, rejection blocks, premium discount zones, equal levels, directional liquidity grabs, and trend meters —to help users better understand areas of support and resistance, potential turning points, and liquidity events in the market.
Key Components and Their Functions
Market Structure Analysis
Internal and External Structure : The indicator evaluates market structure on two levels. The internal analysis focuses on immediate price action (e.g., recent support/resistance and swing points), while the external analysis uses a higher timeframe to provide context. This dual approach helps to confirm the strength of key levels by comparing short-term moves with the broader market trend.
Break of Structure (BoS) and Change of Character (CHoCH) : These signals highlight moments when the market shifts its behavior. A BoS indicates that a previous level of support or resistance has been overcome, while a CHoCH signals a change in the market’s character. Both are marked clearly on the chart using distinct color codes.
Break of Structure + (BoS+) and Change of Character + (CHoCH+) : These signals highlight moments when the market shifts its behavior and is confirmed by prior price action. A BoS + indicates that a previous level of support or resistance has been overcome, while price action achieves higher highs and higher lows (resistance break) or lower highs and lower lows (support break). CHoCH + signals a change in the market’s character when supported by prior price action - lower highs for a support break and higher lows for a resistance break.
BoS and CHoCH
The image above shows BoS and CHoCH identified on the price chart, and explains what each signifies.
A Break Of Structure (BoS) occurs when price decisively moves beyond a previously established support or resistance level. It indicates that the current trend or market pattern is being challenged, and the market may be ready to change direction.
A Change of Character (CHoCH) describes a shift in how the market behaves. A CHoCH occurs when, in an uptrend, a previously established support level breaks, or in a downtrend, a previously established resistance level breaks.
This break indicates that the market's typical structure is shifting, suggesting that the current trend may be losing its strength and that a reversal or a new trend could be developing.
CHoCH+
The image above explains CHoCH+ and how it forms, while highlighting an instance where a downside CHoCH+ formed following lower highs.
A Change of Character + (CHoCH+) describes a shift in how the market behaves that is supported by prior price action. For support breaks, price must form lower highs before breaking support.
The image above explains CHoCH+ for resistance breaks, while highlighting an instance where a resistance point broke that was supported by prior price action.
BoS+
The image above explains BoS+ and how it forms, while highlighting an instance where an upside BoS+ formed following higher highs and higher lows.
A BoS+ resistance break requires higher highs and higher lows prior to the resistance point being closed over.
The image above explains BoS+ support break, while highlighting an instance where a downside BoS+ formed following lower highs and lower lows.
A BoS+ support break requires lower highs and lower lows prior to the support point being closed under.
Future BoS and CHoCH
Radi IQ also displays where the next BoS and CHoCH points are located.
The image above shows the feature in action. With this, traders will always know where the next key support/resistance breakpoints are before they actually occur.
Fair Value Gaps (FVG)
The indicator identifies gaps in the price where little or no trading occurred—known as fair value gaps. These gaps can act as temporary support or resistance and may indicate areas where the market is likely to correct. FVGs are displayed with clear color gradients that differentiate between upward and downward gaps.
The image above shows an identified upside FVG. In the image, the identified upside FVG acted as a support point for price.
The image above shows an identified downside FVG. In the image, the identified downside FVG acted as a resistance point for price.
Low Volume FVG
In addition to identifying trading FVGs - Radi IQ can also specifically detect low volume fair value gaps. Ideally, these fair value gaps will form inside a low volume node on a volume profile.
Low volume node FVGs are important because these are areas where very little trading occurred and is confirmable, indicating an imbalance in supply and demand. Since few trades took place there, the market often moves quickly through these zones when revisited, which can lead to rapid price changes. This "gap" in trading activity can serve as a signal for potential reversals or fast moves, offering opportunities to enter or exit positions based on expected market behavior.
The image above shows identified FVGs that formed on low volume.
Large Area FVGs
Radi IQ is also capable of filtering out “inconsequential” FVGs. With this, Radi IQ can be enabled to only mark FVGs that cover a wide price range.
The image above shows the feature enabled, and all identified FVGs formed with a wide price range.
Large Area FVGs and Low Volume FVGs Combined
Traders can also enable Radi IQ to only mark FVGs that form on low volume and have a wide price range - allowing traders to only identify the highest quality FVGs on the chart.
Order Blocks and Premium Discount Zones
Order Blocks: Radi IQ detects areas where large orders have previously been placed by institutional traders. These blocks can act as strong levels of support or resistance, and the indicator marks bullish and bearish order blocks with dedicated colors.
What is an order block?
Order blocks are clusters of orders that institutions have executed to enter or exit a market position. They typically form when there is a period of consolidation before a significant move. For example, the last bullish candle before a strong down move may indicate a supply order block, while the last bearish candle before a sharp rally might be considered a demand order block.
Why They Form:
Institutions don’t trade in small, sporadic amounts; they accumulate or distribute large volumes of an asset. To avoid slippage and minimize market impact, they execute these orders over a zone rather than at a single price point. This creates a recognizable “block” on the chart.
Order Block Identification Types
Strength Score
The “Strength Score” order block detection mode is a TradingIQ proprietary ranking system for identified order blocks.
Purpose
The purpose of the “Strength Score” ranking system is to determine the “strength” or significance of an order block and rate the zone’s likelihood to act as support/resistance when retested in the future.
The scoring system ranks from 0 - 10, with “0” indicating a “weak” score or low likelihood of acting as a key support/resistance level when retested in the future.
A rating of “5” indicates a “moderate” score, indicating that the order block has a moderate likelihood of acting as a key support/resistance level when retested in the future.
A rating of “10” indicates a “strong” score, indicating that the order block has a strong likelihood of acting as a key support/resistance level when retested in the future.
How It Works
The score is calculated by examining the price move following the formation of an order block. The stronger the price move after an order block forms - the higher the Strength Score.
The image above shows a bearish order block with a score of “5” identified on the chart. The order block successfully operates as a resistance point when retested.
The image above shows a bullish order block with a score of “5” identified on the chart. The order block successfully operates as a resistance point when retested.
Volume-Based
The volume-based order block detection method detects traditional order blocks, but goes one step further by identifying the highest concentration point of volume for the bar and drawing the order block around this concentration point.
Key features when using the volume-based order block detection method:
The top of the order block is anchored to the top of the highest volume concentration point of the bar
The bottom of the order block is anchored to the bottom of the highest volume concentration point of the bar
The total volume that went into creation of the order block is displayed on the chart
The total volume of the order block is recorded as a percentage relative to the total volume for all order blocks on the chart
The image above shows the detection method in action.
Breaker Blocks
A breaker block is a specific type of order block that gains significance when price breaks through it and then often retests the level as a new area of support or resistance. Essentially, it’s a zone where, after the initial break, the previous level (which once acted as strong support or resistance) flips roles. For example, in an uptrend, if the price falls below a key support level, that level can become a breaker block and act as resistance if the price tries to move back up. Conversely, in a downtrend, a broken resistance level can serve as new support. Traders monitor breaker blocks because they often mark a shift in market sentiment and can provide potential entry or exit points once the market re-engages with these levels.
The image above shows a breaker block above price acting as resistance.
The image above shows a breaker block below price acting as support.
Rejection Blocks
A rejection block is a price area where the market shows a strong unwillingness to move beyond a certain level. This typically happens when price approaches a specific level but then is quickly rejected, leading to a bounce in the opposite direction. In other words, a rejection block forms when traders' orders create a barrier, causing the price to reverse rather than break through. Traders watch these areas closely, as they often signal a strong concentration of supply or demand that could provide potential entry or exit points for trades.
The image above shows both a verified upside rejection block acting as resistance, and an untested downside rejection block.
Rejection blocks are expected to function as strong support/resistance points when retested in the future.
Premium Discount Zones
Premium Discount Zones : These zones reflect areas where price is trading above (premium) or below (discount) a fair value range. They help traders gauge whether the current market price is relatively high or low compared to historical averages.
Premium Discount Zones account for recent swing highs and lows to calculate a fair value along with discount and premium prices over an intermediate time window.
The image above shows the premium and discount price zones in action.
Equal Levels
The indicator also tracks and highlights equal levels, which occur when the market repeatedly tests the same price levels. Equal levels can reinforce the significance of a support or resistance area and are represented by their own set of color markers.
The image above shows Radi IQ distinguishing equal highs and equal lows.
Equal Highs
When you see two or more highs that are approximately the same, it suggests that the market is repeatedly rejecting attempts to push higher. This signals a strong resistance level where sellers (or stop-hunters) are active.
Equal Lows
Similarly, consecutive lows at the same level indicate strong support, where buyers step in consistently, preventing further decline.
Strong Highs and Lows
Strong High
A strong high is a price level where the market repeatedly fails to push higher. Typically, it’s characterized by:
Rejection: Price approaches the high but then reverses sharply, often leaving long upper wicks on the candlestick chart.
Consolidation: Multiple bars might show highs that are very close in value (often termed "equal highs"), indicating a well-established resistance zone.
Market Sentiment: This pattern suggests that sellers are actively defending that level, preventing further upward movement.
Strong Lows
Conversely, a strong low is a price level where the market repeatedly fails to break lower. It is identified by:
Bounce Back: Price touches the low and then rebounds sharply, often leaving long lower wicks.
Consistency: Multiple lows occur around the same level (sometimes referred to as "equal lows"), marking a solid support area.
Market Sentiment: This indicates that buyers are stepping in at that level, absorbing selling pressure and supporting the price.
The image above shows Radi IQ detecting both a strong high and strong low, while the detected strong low acts as support when retested.
Liquidity Grabs
Liquidity grabs occur when the market temporarily moves to absorb liquidity, often triggering stop-loss orders and leading to rapid price movements. Radi IQ flags these events by identifying conditions where price moves against recent pivots, helping traders spot potential liquidity-related reversals or breakouts.
The image above shows Radi IQ identifying both an upside liquidity grab and a downside liquidity grab.
Upside Liquidity Grab (Bearish)
An upside liquidity grab happens when the price moves above a well-known resistance area or recent high. This move is often short-lived.
Many traders place stop-loss orders or pending buy orders just above resistance levels. Institutional players may intentionally push price upward to trigger these orders, thereby “grabbing” the liquidity available at that level.
Downside Liquidity Grab (Bullish)
A downside liquidity grab is the mirror image: the price briefly dips below a key support level or recent low.
Traders often place stop-loss orders or pending sell orders just below support levels. An intentional drop below this support can trigger these stops, allowing institutional players to capture liquidity.
Multi-Timeframe Analysis and Swings
By using data from different timeframes, Radi IQ offers a broader perspective on market trends. It highlights significant swing highs and swing lows, providing visual cues that indicate the market’s directional bias. This feature assists traders in identifying both short-term opportunities and long-term trends.
The image above shows Radi IQ detecting higher swings and lower swings.
IQ Meters / Fibometer
IQ Meters (Fibometers) are a proprietary TradingIQ tool that allows traders to easily identify the highs and lows of the current trend and where current price is relative to these points.
The image above depicts the IQ Meters—an exclusive TradingIQ tool designed to help traders evaluate trend strength and retracement opportunities.
When the lower timeframe Zig Zag IQ and the higher timeframe Zig Zag IQ are out of sync (i.e., one is uptrending while the other is downtrending, with no active positions), the meters display a neutral color as shown in the image.
The key to using these meters is to identify trend unison and pinpoint key trend retracement entry opportunities. Fibonacci retracement levels for the current trend are interlaced along each meter, and the current price is converted to a retracement ratio of the trend.
These meters can mathematically determine where price stands relative to the larger and smaller trends, aiding in identifying entry opportunities.
The top of each meter indicates the highest price achieved during the current price move.
The bottom of each meter indicates the lowest price achieved during the current price move.
When both the larger and smaller trends are in sync and uptrending, or when a long position is active, the IQ meters turn green, indicating uptrend strength.
When both meters are green, it indicates uptrend strength as both the higher timeframe trend and lower timeframe trend are in unison. Look for price to retrace to key fibonacci retracement levels during this time period.
When both trends are in sync and downtrending, or when a short position is active, the IQ meters turn red, indicating downtrend strength.
When both meters are red, it indicates downtrend strength as both the higher timeframe trend and lower timeframe trend are in unison. Look for price to retrace to key fibonacci retracement levels during this time period.
Summary
Radi IQ serves as a robust, data-driven tool for traders who seek a deeper understanding of market structure. By integrating internal and external analysis, fair value gap detection, order block identification, premium discount zoning, equal level tracking, liquidity grabs and much more into one indicator, it offers a multi-layered view of the market. This helps traders not only recognize potential turning points and areas of market stress but also manage risk more effectively and plan their trades with greater precision. The indicator’s clear visual representation and dynamic updates make it a practical addition to any trader’s toolkit.
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Global M2 Index Percentage### **Global M2 Index Percentage**
**Description:**
The **Global M2 Index Percentage** is a custom indicator designed to track and visualize the global money supply (M2) in a normalized percentage format. It aggregates M2 data from major economies (e.g., the US, EU, China, Japan, and the UK) and adjusts for exchange rates to provide a comprehensive view of global liquidity. This indicator helps traders and investors understand the broader macroeconomic environment, identify trends in money supply, and make informed decisions based on global liquidity conditions.
---
### **How It Works:**
1. **Data Aggregation**:
- The indicator collects M2 data from key economies and adjusts it using exchange rates to calculate a global M2 value.
- The formula for global M2 is:
\
2. **Normalization**:
- The global M2 value is normalized into a percentage (0% to 100%) based on its range over a user-defined period (default: 13 weeks).
- The formula for normalization is:
\
3. **Visualization**:
- The indicator plots the M2 Index as a line chart.
- Key reference levels are highlighted:
- **10% (Red Line)**: Oversold level (low liquidity).
- **50% (Black Line)**: Neutral level.
- **80% (Green Line)**: Overbought level (high liquidity).
---
### **How to Use the Indicator:**
#### **1. Understanding the M2 Index:**
- **Below 10%**: Indicates extremely low liquidity, which may signal economic contraction or tight monetary policy.
- **Above 80%**: Indicates high liquidity, which may signal loose monetary policy or potential inflationary pressures.
- **Between 10% and 80%**: Represents a neutral to moderate liquidity environment.
#### **2. Trading Strategies:**
- **Long-Term Investing**:
- Use the M2 Index to assess global liquidity trends.
- **High M2 Index (e.g., >80%)**: Consider investing in risk assets (stocks, commodities) as liquidity supports growth.
- **Low M2 Index (e.g., <10%)**: Shift to defensive assets (bonds, gold) as liquidity tightens.
- **Short-Term Trading**:
- Combine the M2 Index with technical indicators (e.g., RSI, MACD) for timing entries and exits.
- **M2 Index Rising + RSI Oversold**: Potential buying opportunity.
- **M2 Index Falling + RSI Overbought**: Potential selling opportunity.
#### **3. Macroeconomic Analysis**:
- Use the M2 Index to monitor the impact of central bank policies (e.g., quantitative easing, rate hikes).
- Correlate the M2 Index with inflation data (CPI, PPI) to anticipate inflationary or deflationary trends.
---
### **Key Features:**
- **Customizable Timeframe**: Adjust the lookback period (e.g., 13 weeks, 26 weeks) to suit your trading style.
- **Multi-Economy Data**: Aggregates M2 data from the US, EU, China, Japan, and the UK for a global perspective.
- **Normalized Output**: Converts raw M2 data into an easy-to-interpret percentage format.
- **Reference Levels**: Includes key levels (10%, 50%, 80%) for quick analysis.
---
### **Example Use Case:**
- **Scenario**: The M2 Index rises from 49% to 62% over two weeks.
- **Interpretation**: Global liquidity is increasing, potentially due to central bank stimulus.
- **Action**:
- **Long-Term**: Increase exposure to equities and commodities.
- **Short-Term**: Look for buying opportunities in oversold assets (e.g., RSI < 30).
---
### **Why Use the Global M2 Index Percentage?**
- **Macro Insights**: Understand the broader economic environment and its impact on financial markets.
- **Risk Management**: Identify periods of high or low liquidity to adjust your portfolio accordingly.
- **Enhanced Timing**: Combine with technical analysis for better entry and exit points.
---
### **Conclusion:**
The **Global M2 Index Percentage** is a powerful tool for traders and investors seeking to incorporate macroeconomic data into their strategies. By tracking global liquidity trends, this indicator helps you make informed decisions, whether you're trading short-term or planning long-term investments. Add it to your TradingView charts today and gain a deeper understanding of the global money supply!
---
**Disclaimer**: This indicator is for informational purposes only and should not be considered financial advice. Always conduct your own research and consult with a professional before making investment decisions.
Aggregated Volume (Multi-Exchange)Indicator: Aggregated Volume (Multi-Exchange)
Overview:
The Aggregated Volume (Multi-Exchange) indicator is designed to aggregate trading volume data from multiple exchanges for a specific cryptocurrency pair. The goal is to provide a consolidated view of the total trading volume across different platforms, helping traders and analysts gauge the overall market activity for a given asset.
Features:
Multi-Exchange Support: The indicator allows you to aggregate trading volume data from various exchanges. Users can enable or disable volume data from specific exchanges (e.g., Binance, Bybit, Kucoin, etc.).
Spot and Futures Volumes: The indicator can sum the volume for spot trading and futures trading separately if desired. However, in the current version, it only sums the volume for specific pairs across multiple exchanges, without distinguishing between spot and futures volumes (though this feature can be added if necessary).
Customizable Exchange Selection: Users can select which exchanges' volume data to include in the aggregation.
Real-Time Updates: The volume data is updated in real-time as new bars are formed on the chart, providing an up-to-date picture of the trading volume.
Purpose:
The primary purpose of this indicator is to consolidate trading volume information from multiple exchanges for the same trading pair (e.g., BTC/USD). Traders can use this aggregated volume to gain a better understanding of market activity across various platforms, as well as assess the level of liquidity and interest in a particular asset.
By viewing the total aggregated volume, traders can:
Track market trends: Higher aggregated volume can signal increased market interest, making it easier to spot trends or potential breakouts.
Analyze liquidity: This indicator can help traders assess liquidity in the market, especially when using multiple exchanges.
Identify potential market manipulation: If there is a sudden spike in volume on multiple exchanges, it could signal market manipulation or an event-driven surge.
How it Works:
Volume Aggregation: The indicator collects and sums the volume data for a given symbol (e.g., BTC/USD) from different exchanges like Binance, Bybit, Kucoin, and others.
Multiple Exchanges: The volume data is aggregated from each selected exchange and plotted as a single volume value on the chart.
Real-Time Volume Plotting: The total aggregated volume is then plotted as a histogram on the chart, with the color of the bars changing depending on whether the price is rising or falling (typically green for rising prices and red for falling prices).
Inputs/Settings:
Exchange Selection: A list of checkboxes where users can choose which exchanges' volume data to include (e.g., Binance, Bybit, Kucoin, etc.).
Color Settings: Users can set the color for the histogram bars based on price direction (e.g., green for rising and red for falling).
Volume Calculation: The indicator calculates the volume for a specific cryptocurrency pair across selected exchanges in real-time.
Macro ParadoxMacro Paradox: A Detailed Explanation
This indicator utilizes multiple streams of global liquidity data (from the US, China, Japan, the UK, and the Eurozone) and combines them with the DXY and HYG for a “macro plumbing” insight. Surprisingly, this creates a paradoxical predictive relationship: when the green line (Weighted DXY) begins rising, dollar-denominated equities (e.g., SPY) often show bullish momentum about 4–7 days later, and vice versa. Below is an in-depth explanation of why and how this occurs.
Global Liquidity Calculation
The script aggregates the balance sheets or liquidity proxies of major central banks and bond markets, including:
Bank of Japan (multiplied by JPYUSD)
People’s Bank of China (multiplied by CNYUSD)
Bank of England (multiplied by GBPUSD)
US Federal Reserve (WALCL)
European Central Bank (multiplied by EURUSD)
Subtracts reverse repo (RRP) and US Treasury general account (TGA) balances (treas_genac)
This net figure represents the total “flow” of major currency liquidity. Higher net liquidity often indicates rising risk-on appetite; lower liquidity can imply risk-off conditions.
HYG Inclusion for Risk Appetite
HYG (the high-yield corporate bond ETF) is a strong barometer of market risk tolerance. When HYG is robust, it indicates investors are willing to buy higher-yield, lower-rated corporate bonds—implying confidence in economic expansion. The script scales HYG like total liquidity, then applies a user-defined weighting ( hygWeight ) so its movement influences the final combined line.
Scaling and Double-EMA Smoothing
For both liquidity ( total ) and each risk metric (DXY, HYG), the script:
Normalizes them over a lookback window ( lookbackBars ) to a 0–100 scale, aligning different absolute values onto a comparable range.
Applies two EMAs in sequence ( smoothLengthFast , smoothLengthSlow )—similar to a MACD-style smoothing—to remove noise and reveal underlying trend momentum more clearly.
By smoothing twice, you get a cleaner signal, making it easier to spot turning points without the usual whipsaws seen with single-smoothing.
Weighted by the Chart’s Price Action
To reflect how these macro flows interact with the specific ticker, the script compares close price to its EMA ( myTickerEma ). The ratio ( close / myTickerEma ) is raised to weightPower , amplifying how overextended or under-extended the ticker is relative to its own trend. The final scaled lines are multiplied by this “ weightFactor ,” adapting them to each ticker’s current price trend.
“Paradoxical” DXY Relationship Explained
Conventionally, a strengthening US dollar can pressure risk assets. However, this script shows a rising Weighted DXY line (green) is often followed by bullishness in dollar-based equities (e.g., SPY) several days later. Why?
When global liquidity is high, capital can flow into US assets, supporting both the dollar and equities.
HYG being strong signals credit-fueled demand; combined with global liquidity, this can push bond and equity prices higher simultaneously.
As the DXY “catches a bid,” it hints at global investors allocating to US assets. This often takes 4–7 days to reflect in the broader equity market, giving the illusion of a “paradox.”
Practical Usage and Timeframes
Because major liquidity data (from central banks, RRP, TGA, etc.) is updated once a day or weekly, smaller intraday charts (like 1-hour) will not accurately capture these macro flows. For this reason, the indicator is most reliable on Daily charts. At higher frequency, signals can be misleading because the macro data does not refresh that often.
Why It’s Unique
Combines total global net liquidity and credit risk sentiment (HYG) into one line, then cross-compares it to DXY for insight into capital flows.
Applies a two-stage EMA smoothing for each series, reducing noise and clarifying the macro trend signal.
Weights the signal by the chart’s own price trend, adapting to each ticker’s technical conditions.
Reveals an unusual yet historically consistent “delayed bullishness” effect when the Weighted DXY (green) starts climbing.
A rising Weighted DXY line (green) often foretells— 4 to 7 days later —an upswing in US equities, contrary to the typical notion that a stronger dollar always harms risk assets. By blending net global liquidity, HYG’s risk appetite measure, and a weighting factor keyed to the chart’s trend, this indicator provides a novel, smoother view of macro flows.
Note: For best results, use Daily or higher timeframes to align with the release schedule of the underlying liquidity data. This avoids short-term noise that doesn’t reflect actual macro changes.
Silver Bullet ICT Strategy [TradingFinder] 10-11 AM NY Time +FVG🔵 Introduction
The ICT Silver Bullet trading strategy is a precise, time-based algorithmic approach that relies on Fair Value Gaps and Liquidity to identify high-probability trade setups. The strategy primarily focuses on the New York AM Session from 10:00 AM to 11:00 AM, leveraging heightened market activity within this critical window to capture short-term trading opportunities.
As an intraday strategy, it is most effective on lower timeframes, with ICT recommending a 15-minute chart or lower. While experienced traders often utilize 1-minute to 5-minute charts, beginners may find the 1-minute timeframe more manageable for applying this strategy.
This approach specifically targets quick trades, designed to take advantage of market movements within tight one-hour windows. By narrowing its focus, the Silver Bullet offers a streamlined and efficient method for traders to capitalize on liquidity shifts and price imbalances with precision.
In the fast-paced world of forex trading, the ability to identify market manipulation and false price movements is crucial for traders aiming to stay ahead of the curve. The Silver Bullet Indicator simplifies this process by integrating ICT principles such as liquidity traps, Order Blocks, and Fair Value Gaps (FVG).
These concepts form the foundation of a tool designed to mimic the strategies of institutional players, empowering traders to align their trades with the "smart money." By transforming complex market dynamics into actionable insights, the Silver Bullet Indicator provides a powerful framework for short-term trading success
Silver Bullet Bullish Setup :
Silver Bullet Bearish Setup :
🔵 How to Use
The Silver Bullet Indicator is a specialized tool that operates within the critical time windows of 9:00-10:00 and 10:00-11:00 in the forex market. Its design incorporates key principles from ICT (Inner Circle Trader) methodology, focusing on concepts such as liquidity traps, CISD Levels, Order Blocks, and Fair Value Gaps (FVG) to provide precise and actionable trade setups.
🟣 Bullish Setup
In a bullish setup, the indicator starts by marking the high and low of the session, serving as critical reference points for liquidity. A typical sequence involves a liquidity grab below the low, where the price manipulates retail traders into selling positions by breaching a key support level.
This movement is often orchestrated by smart money to accumulate buy orders. Following this liquidity grab, a market structure shift (MSS) occurs, signaled by the price breaking the CISD Level—a confirmation of bullish intent. The indicator then highlights an Order Block near the CISD Level, representing the zone where institutional buying is concentrated.
Additionally, it identifies a Fair Value Gap, which acts as a high-probability area for price retracement and trade entry. Traders can confidently take long positions when the price revisits these zones, targeting the next significant liquidity pool or resistance level.
Bullish Setup in CAPITALCOM:US100 :
🟣 Bearish Setup
Conversely, in a bearish setup, the price manipulates liquidity by creating a false breakout above the high of the session. This move entices retail traders into long positions, allowing institutional players to enter sell orders.
Once the price reverses direction and breaches the CISD Level to the downside, a change of character (CHOCH) becomes evident, confirming a bearish market structure. The indicator highlights an Order Block near this level, indicating the origin of the institutional sell orders, along with an associated FVG, which represents an imbalance zone likely to be revisited before the price continues downward.
By entering short positions when the price retraces to these levels, traders align their strategies with the anticipated continuation of bearish momentum, targeting nearby liquidity voids or support zones.
Bearish Setup in OANDA:XAUUSD :
🔵 Settings
Refine Order Block : Enables finer adjustments to Order Block levels for more accurate price responses.
Mitigation Level OB : Allows users to set specific reaction points within an Order Block, including: Proximal: Closest level to the current price. 50% OB: Midpoint of the Order Block. Distal: Farthest level from the current price.
FVG Filter : The Judas Swing indicator includes a filter for Fair Value Gap (FVG), allowing different filtering based on FVG width: FVG Filter Type: Can be set to "Very Aggressive," "Aggressive," "Defensive," or "Very Defensive." Higher defensiveness narrows the FVG width, focusing on narrower gaps.
Mitigation Level FVG : Like the Order Block, you can set price reaction levels for FVG with options such as Proximal, 50% OB, and Distal.
CISD : The Bar Back Check option enables traders to specify the number of past candles checked for identifying the CISD Level, enhancing CISD Level accuracy on the chart.
🔵 Conclusion
The Silver Bullet Indicator is a cutting-edge tool designed specifically for forex traders who aim to leverage market dynamics during critical liquidity windows. By focusing on the highly active 9:00-10:00 and 10:00-11:00 timeframes, the indicator simplifies complex market concepts such as liquidity traps, Order Blocks, Fair Value Gaps (FVG), and CISD Levels, transforming them into actionable insights.
What sets the Silver Bullet Indicator apart is its precision in detecting false breakouts and market structure shifts (MSS), enabling traders to align their strategies with institutional activity. The visual clarity of its signals, including color-coded zones and directional arrows, ensures that both novice and experienced traders can easily interpret and apply its findings in real-time.
By integrating ICT principles, the indicator empowers traders to identify high-probability entry and exit points, minimize risk, and optimize trade execution. Whether you are capturing short-term price movements or navigating complex market conditions, the Silver Bullet Indicator offers a robust framework to enhance your trading performance.
Ultimately, this tool is more than just an indicator; it is a strategic ally for traders who seek to decode the movements of smart money and capitalize on institutional strategies. With the Silver Bullet Indicator, traders can approach the market with greater confidence, precision, and profitability.
Macros ICT KillZones [TradingFinder] Times & Price Trading Setup🔵 Introduction
ICT Macros, developed by Michael Huddleston, also known as ICT (Inner Circle Trader), is a powerful trading tool designed to help traders identify the best trading opportunities during key time intervals like the London and New York trading sessions.
For traders aiming to capitalize on market volatility, liquidity shifts, and Fair Value Gaps (FVG), understanding and using these critical time zones can significantly improve trading outcomes.
In today’s highly competitive financial markets, identifying the moments when the market is seeking buy-side or sell-side liquidity, or filling price imbalances, is essential for maximizing profitability.
The ICT Macros indicator is built on the renowned ICT time and price theory, which enables traders to track and leverage key market dynamics such as breaks of highs and lows, imbalances, and liquidity hunts.
This indicator automatically detects crucial market times and optimizes strategies for traders by highlighting the specific moments when price movements are most likely to occur. A standout feature of ICT Macros is its automatic adjustment for Daylight Saving Time (DST), ensuring that traders remain synced with the correct session times.
This means you can rely on accurate market timing without the need for manual updates, allowing you to focus on capturing profitable trades during critical timeframes.
🔵 How to Use
The ICT Macros indicator helps you capitalize on trading opportunities during key market moments, particularly when the market is breaking highs or lows, filling Fair Value Gaps (FVG), or addressing imbalances. This indicator is particularly beneficial for traders who seek to identify liquidity, market volatility, and price imbalances.
🟣 Sessions
London Sessions
London Macro 1 :
UTC Time : 06:33 to 07:00
New York Time : 02:33 to 03:00
London Macro 2 :
UTC Time : 08:03 to 08:30
New York Time : 04:03 to 04:30
New York Sessions
New York Macro AM 1 :
UTC Time : 12:50 to 13:10
New York Time : 08:50 to 09:10
New York Macro AM 2 :
UTC Time : 13:50 to 14:10
New York Time : 09:50 to 10:10
New York Macro AM 3 :
UTC Time : 14:50 to 15:10
New York Time : 10:50 to 11:10
New York Lunch Macro :
UTC Time : 15:50 to 16:10
New York Time : 11:50 to 12:10
New York PM Macro :
UTC Time : 17:10 to 17:40
New York Time : 13:10 to 13:40
New York Last Hour Macro :
UTC Time : 19:15 to 19:45
New York Time : 15:15 to 15:45
These time intervals adjust automatically based on Daylight Saving Time (DST), helping traders to enter or exit trades during key market moments when price volatility is high.
Below are the main applications of this tool and how to incorporate it into your trading strategies :
🟣 Combining ICT Macros with Trading Strategies
The ICT Macros indicator can easily be used in conjunction with various trading strategies. Two well-known strategies that can be combined with this indicator include:
ICT 2022 Trading Model : This model is designed based on identifying market liquidity, structural price changes, and Fair Value Gaps (FVG). By using ICT Macros, you can identify the key time intervals when the market is seeking liquidity, filling imbalances, or breaking through important highs and lows, allowing you to enter or exit trades at the right moment.
Silver Bullet Strategy : This strategy, which is built around liquidity hunting and rapid price movements, can work more accurately with the help of ICT Macros. The indicator pinpoints precise liquidity times, helping traders take advantage of market shifts caused by filling Fair Value Gaps or correcting imbalances.
🟣 Capitalizing on Price Volatility During Key Times
Large market algorithms often seek liquidity or fill Fair Value Gaps (FVG) during the intervals marked by ICT Macros. These periods are when price volatility increases, and traders can use these moments to enter or exit trades.
For example, if sell-side liquidity is drained and the market fills an imbalance, the price might move toward buy-side liquidity. By identifying these moments, which may also involve breaking a previous high or low, you can leverage rapid market fluctuations to your advantage.
🟣 Identifying Liquidity and Price Imbalances
One of the important uses of ICT Macros is identifying points where the market is seeking liquidity and correcting imbalances. You can determine high or low liquidity levels in the market before each ICT Macro, as well as Fair Value Gaps (FVG) and price imbalances that need to be filled, using them to adjust your trading strategy. This capability allows you to manage trades based on liquidity shifts or imbalance corrections without needing a bias toward a specific direction.
🔵 Settings
The ICT Macros indicator offers various customization options, allowing users to tailor it to their specific needs. Below are the main settings:
Time Zone Mode : You can select one of the following options to define how time is displayed:
UTC : For traders who need to work with Universal Time.
Session Local Time : The local time corresponding to the London or New York markets.
Your Time Zone : You can specify your own time zone (e.g., "UTC-4:00").
Your Time Zone : If you choose "Your Time Zone," you can set your specific time zone. By default, this is set to UTC-4:00.
Show Range Time : This option allows you to display the time range of each session on the chart. If enabled, the exact start and end times of each interval are shown.
Show or Hide Time Ranges : Toggle on/off for visual clarity depending on user preference.
Custom Colors : Set distinct colors for each session, allowing users to personalize their chart based on their trading style.These settings allow you to adjust the key time intervals of each trading session to your preference and customize the time format according to your own needs.
🔵 Conclusion
The ICT Macros indicator is a powerful tool for traders, helping them to identify key time intervals where the market seeks liquidity or fills Fair Value Gaps (FVG), corrects imbalances, and breaks highs or lows. This tool is especially valuable for traders using liquidity-based strategies such as ICT 2022 or Silver Bullet.
One of the key features of this indicator is its support for Daylight Saving Time (DST), ensuring you are always in sync with the correct trading session timings without manual adjustments. This is particularly beneficial for traders operating across different time zones.
With ICT Macros, you can capitalize on crucial market opportunities during sensitive times, take advantage of imbalances, and enhance your trading strategies based on market volatility, liquidity shifts, and Fair Value Gaps.
Market Structure Trailing Stop [BigBeluga]The Market Structure Trailing Stop indicator is an advanced tool for identifying market structure shifts, liquidity sweeps, and potential trend reversals using comprehensive volume analysis. This indicator combines the analysis of market structure pivots (CHoCH - Change of Character) with a sophisticated volume-based trailing stop logic. By evaluating delta volume at key structural points, it allows traders to identify high-probability trend continuations or reversals and manage their trades more effectively.
🔵 KEY FEATURES
● Market Structure Analysis
Pivot-Based Market Structure : The indicator identifies high and lows using user-defined periods, allowing traders to spot key market structure shifts.
Change of Character (CHoCH) : The first significant break of a market structure is marked as a CHoCH, indicating a potential trend reversal.
Break of Structure (BoS) : The indicator highlights subsequent breaks of structure after CHoCH, providing traders with crucial insights into trend strength.
● Advanced Volume Analysis
Delta Volume Evaluation : The indicator calculates delta volume (difference between up and down volume) at each ChoCh or BoS market structure point to assess the strength of the move. Identify Delta Volume from break point back to Pivot
● Trailing Stop Logic
Volume-Validated Trailing Stop : The indicator automatically plots a trailing stop if the delta volume at the UP CHoCH is positive and above the defined threshold and vice versa for Down CHoCH , allowing traders to protect their profits while riding the trend.
Trend Weakness Detection : If a subsequent BoS occurs with negative delta volume or lower volume than the input threshold, the trailing stop disappears, indicating potential trend exhaustion or reversal.
Dynamic Stop Placement : The trailing stop is dynamically adjusted based on market structure and volume, providing traders with a more adaptive stop-loss strategy.
Up Trend Trailing Stop:
Down Trend Trailing Stop:
● Liquidity Sweep Detection
Liquidity Sweep (X) Labels : The indicator identifies liquidity sweeps—points where the price temporarily reverses to sweep liquidity above or below a key level—marked with an “X” label.
Potential Reversal Zones : These liquidity sweeps are potential reversal zones, especially when accompanied by significant delta volume changes, providing traders with early warnings of potential trend reversals.
🔵 HOW TO USE
● Identifying Market Structure Shifts
Change of Character (CHoCH) : When a CHoCH occurs, the indicator calculates the total volume from the high point to the break point. If the delta volume is positive and exceeds the input threshold, a trailing stop is plotted, signaling potential trend continuation.
Break of Structure (BoS) : If BoS is enabled, subsequent breaks of structure are highlighted. If these BoS points show weaker volume or negative delta volume, the trailing stop will disappear, indicating that the trend may be losing strength.
● Using the Trailing Stop Feature
Protecting Profits : Once a CHoCH occurs and the delta volume validates the trend, the trailing stop will be plotted below (or above) the price to protect profits while allowing the trend to run.
Trend Reversal Signals : If the trailing stop disappears due to weak volume at subsequent BoS points, it may signal that the trend is losing momentum, and traders may consider closing their positions or tightening their stops manually.
● Liquidity Sweep Interpretation
Spotting Reversal Zones : Liquidity sweeps, marked with an “X” label, indicate zones where the price has swept liquidity. These areas can serve as potential reversal zones, especially when significant delta volume is observed at these points.
Early Reversal Warnings : Traders can use these liquidity sweep labels as early warnings for potential trend reversals, particularly in conjunction with other technical analysis methods.
🔵 CUSTOMIZATION
Highs and Lows Calculation : Customize the number of bars to the left and right for identifying pivots and market structure shifts.
Volume Threshold : Define the volume threshold to filter out weaker moves and focus on significant market structure shifts.
BoS and Liquidity Sweep Labels : Toggle on or off the BoS and Liquidity Sweep labels to tailor the indicator to your trading style.
Trend Color : Enable or disable trend coloring for candles to visually highlight uptrends and downtrends on the chart.
🔵 CONCLUSION
The Market Structure Trailing Stop indicator combines advanced volume analysis with market structure detection to provide traders with a powerful tool for identifying and managing trends. By leveraging delta volume at key structure points, it helps traders validate trend strength and manage their positions with a dynamic trailing stop strategy. The addition of liquidity sweep detection further enhances its utility, offering early warnings of potential trend reversals. This indicator is ideal for traders who want to gain a deeper understanding of market structure while incorporating volume-based insights into their trading strategies.
Dark Energy Divergence OscillatorThe Dark Energy Divergence Oscillator (DEDO)
What makes The Universe grow at an accelerating pace?
Dark Energy.
What makes The Economy grow at an accelerating pace?
Debt.
Debt is the Dark Energy of The Economy.
I pronounce DEDO "Deed-oh", but variations are fine with me.
Note: The Pine Script version of DEDO is improved from the original formula, which used a constant all-time high calculation in the normalization factor. This was technically not as accurate for calculating liquidity pressure in historical data because it meant that historical prices were being tested against future liquidity factors. Now using Pine, the functions can be normalized for the bar at the time of calculation, so the liquidity factors are normalized per candle, not across the entire series, which feels like an improvement to me.
Thought Process:
It's all about the liquidity. What I started with is a correlation between major stock indices such as SPX and WRESBAL , a balance sheet metric on FRED
After September 2008, when QE was initiated, many asset valuations started to follow more closely with liquidity factors. This led me to create a function that could combine asset prices and liquidity in WRESBAL , in order to calculate their divergence and chart the signal in TradingView.
The original formula:
First, we don't want "non-QE" data. we only want data for the market affected by QE .
So, find SPX on the day of pre-QE: 1255.08 and subtract that from the 2022 top 4818.62 = 3563.54
With this post-QE SPX range, now you can normalize the price level simply by dividing by the range = ( SPX -1255.08)/3563.54)
Normalization produces values from 0 to 1 so that they can be compared with other normalized figures.
In order to test the 0 to 1 normalized SPX range measure against the liquidity number, WRESBAL , it's the same idea: normalize it using the max as the denominator and you get a 0 to 1 liquidity index:
( WRESBAL /4276000000000)
Subtract one from the other to get the divergence:
(( WRESBAL /4276000000000)-(( SPX -1255.08)/3563.54))*10
x10 to reduce decimal places, but this option is configurable in DEDO's input settings tab.
Positive values indicate there's ample liquidity to hold up price or even create bullish momentum in some cases. Negative values mean price levels are potentially extended beyond what liquidity levels can support.
Note: many viewers of the charts on social media wanted the values to go down in alignment with price moving down, so inverting the chart is what I do with Option + I. I like the fact that negative values represent a deficit in liquidity to hold up price but that's just me.
Now with Pine Script and some help from other liquidity focused accounts on TradingView , I was able to derive a script that includes central bank liquidity and Reverse Repo liquidity drain, all in one algorithm, with adjustable settings.
Central bank assets included in this version:
-JPY (Japan)
-CNY (China)
-UK (British Pound)
-SNB (Swiss National Bank)
-ECB (European Central Bank )
Central Bank assets can be adjusted to an allocation % so that the formula is adjusted for the market cap of the asset.
A handy table in the lower right corner displays useful information about the asset market cap, and percentage it represents in the liquidity pool.
Reverse repo soak is also an optional addition in the Input settings using the RRPONTSYD value from FRED. This value is subtracted from global liquidity used to determine divergence since it is swept away from markets when residing in the Fed's reverse repo facility.
There is an option to draw a line at the Zero bound. This provides a convenience so that the line doesn't keep having to be redrawn on every chart. The normalized equation produces a value that should oscillate around zero, as price/valuation grows past liquidity support, falls under it, and repeats in cycles.
Gold Futures to Spot Converter Levels🟡 Futures to Spot Converter Levels – Map Futures Liquidity to Spot Charts
Futures to Spot Converter Levels is a utility tool for traders who watch gold futures orderflow but execute their trades on spot gold (XAUUSD).
The idea is simple: you see important prices on the futures ladder / DOM / footprint (icebergs, large resting liquidity, volume nodes, option strikes, etc.). This script converts those futures prices into their equivalent spot prices and draws them as horizontal levels on your spot chart.
It lets you trade XAUUSD while still respecting the liquidity and key levels that exist on the futures market.
🔍 Core Concept – Dynamic Futures → Spot Conversion
The script keeps a live ratio between your selected futures contract and the spot symbol:
Ratio = Spot price ÷ Futures price
On each update it:
Reads the current price of:
your chosen gold futures symbol (e.g. COMEX:GC1!),
the spot symbol (usually FX:XAUUSD).
Calculates the conversion ratio from futures to spot.
For every Futures Price you type in (4300, 4310, 4335, 4245, etc.), it multiplies that value by the ratio and finds the corresponding spot level.
Draws a horizontal line on the spot chart at that converted price, with your chosen color and style.
(Optional) Adds a label like:
GC 4300 → Spot 4148.20
As the relationship between futures and spot moves, the ratio – and therefore the projected levels – adjusts automatically.
🧠 Why this is useful for orderflow traders
Many orderflow tools (Bookmap, DOM ladders, footprint charts) are built around futures, while a lot of brokers and CFD platforms quote spot gold.
With this script you can:
Identify liquidity or absorption levels on the futures (e.g. big resting orders at GC 4300 / 4310 / 4335).
Enter those prices into the Futures Price fields.
See the equivalent XAUUSD levels drawn directly on your spot chart.
Use those projected levels as:
support / resistance zones,
targets or stop areas,
areas to look for reversals or continuation on XAUUSD.
The script itself does not read orderflow; it simply converts the prices you care about from the futures market into the spot market.
⚙️ Inputs
Gold Futures Symbol
Choose the futures contract you are tracking (default COMEX:GC1!).
Spot Symbol
The spot instrument where you want levels drawn (default FX:XAUUSD).
Show Labels
Toggle on/off labels that display both futures and converted spot prices.
Label Position
Far Left / Center / Far Right – where labels appear horizontally on the chart.
Label Size
Tiny, Small, Normal, Large, Huge.
Line Width & Line Style
Visual settings for all levels (solid / dashed / dotted).
Futures Price 1–10 + Colors
Up to 10 futures prices you want to project into spot.
Each one has its own color so you can group levels (for example: red for sell liquidity, green for buy liquidity, different colors for different sessions, etc.).
If a value is 0, that level is ignored.
📈 How to Use It in Practice
On your futures orderflow tool
Mark important prices: large liquidity, iceberg orders, VWAP bands, previous session high/low, option strikes, etc.
Example: GC has big liquidity at 4300, 4310, 4335, 4245, 4230.
In the indicator settings
Set Gold Futures Symbol = COMEX:GC1!
Set Spot Symbol = FX:XAUUSD
Enter those futures levels into Futures Price 1–5.
Pick colors to separate buy/sell zones or strength.
On the XAUUSD chart
The script draws horizontal lines at the spot-equivalent prices of your futures levels.
You can now trade spot while visually anchored to futures liquidity.
Combine with your strategy
Use these converted levels together with your own structure, orderflow, or indicator rules.
The script is not a buy/sell signal; it’s a mapping tool that keeps your spot trading aligned with the futures market.
