HTF Power of Three° [Pro+] by toodegreesDescription:
Power of Three ( PO3 ) is one of the many concepts introduced by the Inner Circle Trader , and inspired by Larry Williams .
The PO3 represents a three staged Smart Money campaign: Accumulation , Manipulation , and Distribution ( AMD ).
This tool helps to build narrative, as well as spotting important institutional levels.
ICT traders assume that this pattern represents how any candle is built.
“ This is applicable to every time measurement, as long as you have a beginning time, the highest value, the lowest value, and an ending in terms of measuring time. ”
Consider the development of a Bullish Candle over Time:
– Candle Open (initial value price, prior to dynamic imbalance)
– Accumulation of longs around the opening price
– Manipulation where short liquidity is engineered and long liquidity is neutralized
– Range Expansion (dynamic price imbalance)
– Distribution pairing long exits with pending buy interest
– Candle Close (ending value price, post dynamic imbalance)
The same goes for the development of Bearish Candles, in reverse.
Indicator Features:
The HTF Power of Three° Pro+ Indicator allows to monitor the selected Higher Timeframe Candles in real time:
– Follow HTF Candle development Live
– Plot unlimited HTF Candles on the current resolution
– Use NY Midnight time as the Candle Open on Daily and Weekly timeframes
– Spot HTF PD Arrays while on a lower timeframe
– See where the HTF Open, High, and Low are in the current lower resolution with high precision
– Know when the HTF candle is supposed to Close by monitoring its own countdown (below 1D)
– Note previous HTF Low to High ranges to gain a deeper understanding of LTF market profiles
Additional Features:
– Choose between Candles and Bars to display your HTF PO3s
– Hover on the open and close of past HTF candles to see their OHLC and Range values
– Resize and offset HTF candles to your liking
– Stack multiple instances on the indicator to show multiple higher timeframes at once on the same layout
– Backtest strategies with two (or more) timeframes on one chart
– Study and backtest PO3 in Replay Mode with ease
– Trade PO3 with confidence without needing multiple layouts
Indicator In Action:
To Get Access, and Level Up see the Author's Instructions below!
This indicator is available only on the TradingView platform.
⚠️ Intellectual Property Rights ⚠️
While this tool's base concepts are public, its interpretation, code, and presentation are protected intellectual property. Unauthorized copying or distribution is prohibited.
⚠️ Terms and Conditions ⚠️
This financial tool is for educational purposes only and not financial advice. Users assume responsibility for decisions made based on the tool's information. Past performance doesn't guarantee future results. By using this tool, users agree to these terms.
在腳本中搜尋"imbalance"
HTF Power of Three°Power of Three ( PO3 ) is one of the many concepts introduced by the Inner Circle Trader and inspired by Larry Williams.
The PO3 represents a three staged Smart Money campaign: Accumulation , Manipulation , and Distribution .
ICT traders assume that this pattern represents how any candle is built.
“This is applicable to every time measurement, as long as you have a beginning time, the highest value, the lowest value, and an ending in terms of measuring time.”
Consider the development of a Bullish Candle over Time:
– Candle Open (initial value price, prior to dynamic imbalance)
– Accumulation of longs around the opening price
– Manipulation where short liquidity is engineered and long liquidity is neutralized
– Range Expansion (dynamic price imbalance)
– Distribution pairing long exits with pending buy interest
– Candle Close (ending value price, post dynamic imbalance)
The same goes for the development of Bearish Candles, in reverse.
The HTF Power of Three° Indicator allows to monitor the selected Higher Timeframe Candle in real time:
– See where its Open, High, and Low are in the current lower resolution with high precision
– Know when it's supposed to Close by monitoring its own countdown (if below 1D)
– Note its Low to High range to gain a deeper understanding of LTF market profiles
– Study and backtest PO3 in Replay Mode with ease
– Trade PO3 with confidence without needing multiple layouts
This becomes very useful when studying, and especially using, PO3. One can use this as a tool to build narrative, as well as spotting important institutional levels.
You can also monitor more than one HTF PO3 at the time by stacking multiple instances of the indicator:
This works on any timeframe, even the seconds charts!
Note: if you select too high of a PO3 timeframe while on LTF you might receive an error due to TrandingView's data availability on that chart – this can also depend on your TradingView Plan.
AG FX - INSTITUTIONAL ORDER BLOCKSThis Indicator will help you to find some potential bullish and bearish block.
This indicator, only provides just the the potentials ORDER BLOCKS followed by imbalances.
Forms of using this indicator:
- Plotting the ORDER BLOCKS CANDLES with the color that you prefer
- Plotting the zones given with the ORDER BLOCKS
- Both of them
Indicator Parameters:
- Customizable Candles colors
- Customizable Boxes colors
- Customizable amount of boxes displayed
PD: I just prefer the first one so i can get a clean chart, but it´s up to you.
Inner Circle Trader Institutional ORDER BLOCKS FOREX Theory
Today we are talking about the infamous ORDER BLOCKS by ICT forex trading Strategy. Order Blocks have proven to be a very effective tool in trading as they allow traders to gain high reward with low risk trades.
What is an Order Block? - The Order Block is a specific price range or candle where institutions will be buying or selling against the retail trend/dump money.
Institutions leave order blocks for themselves to trade at a later stage. They will reverse the price to a previous order and then driving the price hard in the direction of the trend (The real institutional trend).
These order blocks we can also call them specific levels of either going Long or Short. If an order block is violated or broken, it now qualifies as a Breaker, meaning Price will retest back to that order block. Sometimes we call it a failed order block.
Types of OBs:
i. Bullish Order Block (BUB)
ii. Bearish Order Block (BEB)
Bullish and Bearish Engulfing Patterns auto detectionThis simple indicator detects automatically most important bullish and bearish candlestick patterns formations. Used to locate potential supply and demand imbalances.
Copyright 2017 Alfonso Moreno www.set-and-forget.com
Advance Smc Ict V4 The Advance SMC ICT Indicator is designed to assist traders in mapping market structure and identifying key price zones based on Smart Money Concepts (SMC) such as dz idm , dz ext , hist idm , hist dz ext & tracks major and minor order flow, and marks potential areas of interest, such as the Golden Zone. The indicator aims to simplify complex chart analysis, providing a structured approach to observing market movements across different timeframes.
✦Understanding the Concept of Order Blocks
DZ IDM
Dz idm is the zone just below inducement . it is also know as decisional order block .
This decisional order block plays a crucial role in identifying potential trade entries and is especially effective at highlighting key reversal zones.
This order block contains inducement liquidity above it, which enhances its significance compared to other order blocks.
Chart Illustration
This diagram illustrates the IDM Order Block (OB-IDM), which is the first order block that appears just below the current IDM level.
SETTING
1. Customizable IDM OB BG Color – Demand
Define the fill color for demand-side IDM OBs to highlight buy zones clearly.
2. Customizable IDM OB BG Color – Supply
Define the fill color for supply-side IDM OBs to mark sell zones distinctly.
3. Customizable IDM OB Text Color – Demand
Choose the label color for “Demand” text so it remains legible over the demand zone.
4. *Customizable IDM OB Text Color – Supply
Choose the label color for “Supply” text so it stands out over the supply zone.
DZ EXT
Extreme Order Block (OB-EXT):
The OB-EXT refers to the extreme order block identified between a Major Low and a Major High. Positioned at the edge of a swing range, this zone often reflects the initial point of strong price movement and can serve as a key area where institutional activity may have occurred.
Usage:
The OB-EXT is used to highlight potential high-probability reversal zones. Its location at structural extremes makes it useful for identifying trade entries during deep pullbacks or at the beginning of trend shifts. Traders often monitor this level for reaction when price revisits it, as it can signal renewed interest and possible directional continuation.
Chart Illustration
Setting
1. Customizable EXT OB BG Color – Demand
Define the fill color for demand-side EXT Order Blocks to highlight key buy zones.
2. Customizable EXT OB BG Color – Supply
Define the fill color for supply-side EXT Order Blocks to mark critical sell zones.
3. Customizable EXT OB Text Color – Demand
Choose the “Demand” label color so it remains legible over the demand-zone background.
4. Customizable EXT OB Text Color – Supply
Choose the “Supply” label color so it stands out clearly against the supply-zone fill.
✦HIST IDM OB AND HIST EXT OB
This indicator automatically identifies and highlights key swing zones to enhance market structure analysis.This features help traders to focus on current swing ,
It dynamically marks the current active swing zones as:
DZ IDM: The most recent Inverse Demand Momentum zone, based on current price structure.
DZ EXT: The latest extreme zone between a major swing low and high.
It also tracks unmitigated historical zones as:
Hist DZ IDM: Previous IDM zones that have not yet been mitigated.
Hist DZ EXT: Past extreme zones that remain untested.
Chart Illustration
✦Minor Order flow
This tool is designed to help traders visualize both Smart Money Concepts (SMC) and Minor Order Flow in a structured and effective way. In a bullish market, a Minor Order Flow zone is defined as the last unmitigated selling move before price continues upward after a short pullback. In a bearish market, it marks the last unmitigated buying move before price resumes its downward trend.
The indicator tracks these zones in real-time,
TradingView
OANDA:XAUUSD Chart Image by AlgoHub100
dynamically labeling unmitigated zones in pink for visibility. Once price revisits and mitigates a zone, its color changes to a bluish tone, clearly showing which areas are active versus completed. This visual shift allows traders to focus on relevant swing levels, filtering out old or already-reacted zones.
Chart Illustration
Minor Order Flow Settings
-Control how Minor Order Flow levels appear on your chart:
-Toggle ON/OFF to enable or disable Minor Order Flow for a cleaner chart when needed.
-Max Count limits the number of Minor Order Flow levels shown (default: 10).
-Separate Bullish and Bearish Colors for easy identification of market direction.
-Custom Colors let you choose distinct visual styles for bullish and bearish flows.
✦Major Order flow
Major Order Flow
The Major Order Flow highlights the last unmitigated selling move in a bullish market and the last unmitigated buying move in a bearish market. These levels represent key institutional order blocks where price is likely to react.
Unmitigated Zones are displayed in blue on the chart, indicating potential areas of interest where price may return.
Once the zone is mitigated (touched by price), the color changes to greyish blue, signaling the zone has been tested.
Chart Illustration
MAJOR ORDER FLOW VS MINOR ORDER FLOW
Major Order Flow identifies the last unmitigated selling move in a bullish market (or buying move in a bearish market). These zones are shown in blue and change to greyish blue once mitigated. Minor Order Flow tracks the last unmitigated move within a larger structure, helping refine entries.
TradingView
OANDA:XAUUSD Chart Image by AlgoHub100
Breaker Block Indicator Overview
This indicator automatically identifies and confirms two special order block levels (breaker blocks) to highlight key supply and demand zones. It pre-marks these zones and then confirms them when price breaks through with a single candle. By focusing solely on these validated zones, the indicator helps traders concentrate on only the most significant supply and demand zones.
OB IDM Breaker Block
An OB IDM Breaker Block is an order block located just below an Inducement (IDM) level, which is a liquidity trap designed to lure traders. The indicator flags this block in advance. When price breaks the block with a single candle, it becomes a confirmed breaker block. This break indicates the inducement has failed and highlights a strong supply or demand zone.
OB EXT Breaker Block
An OB EXT Breaker Block is the extreme order block that lies between a Break of Structure (BOS) and a Change of Character (CHoCH). A BOS occurs when price clears a prior swing high or low, and a CHoCH is an early sign of reversal. The OB EXT is the first (outermost) order block in that swing, and it is marked by the indicator ahead of time. When price breaks this block with a single candle, it becomes a confirmed breaker block, signaling a major shift and highlighting a key supply or demand zone.
Breaker Block identifies a former order block that was invalidated by a break of structure and later retested. These levels often act as support or resistance zones, reflecting a potential shift in market sentiment. Traders may use Breaker Blocks to spot areas where price could react, helping with trade entries or exits.
Chart Illustration
TradingView
OANDA:XAUUSD Chart Image by AlgoHub100
✦Golden zone
The Golden Zone is the critical retracement band between the 61.8% and 78.6% Fibonacci levels of a significant market swing. This indicator automatically recognizes when price breaks a prior swing (Break of Structure, or BOS) and then shifts momentum (Change of Character, or CHoCH). As soon as these two events occur, it anchors a Fibonacci retracement between the BOS high/low and the CHoCH point, shading the area between the 0.618 and 0.786 levels (default: yellow fill).
Although TradingView’s built-in Fibonacci tool is free, it requires you to click two swing points every time—leaving you to guess whether those swings truly represent a valid BOS or CHoCH. In contrast, this indicator’s built-in logic ensures that the 61.8%–78.6% band is always drawn on the most relevant portion of price action without any extra effort. Whenever price completes a new BOS → CHoCH sequence, the Golden Zone instantly redraws, so you never have delayed or outdated retracements.
All aspects of the Golden Zone are fully customizable. You can replace the default 0.618/0.786 boundaries with any retracement values—such as 0.65/0.85 or 0.50/0.75—by entering your preferred ratios in the settings. Once set, those custom levels apply to every future swing, eliminating manual redraws. Likewise, the fill color, opacity, and boundary-line colors can be changed to match your chart’s theme. Select your color choices once, and each new Golden Zone appears consistently across multiple charts and timeframes.
By combining automatic structure alignment with one-click strategy adaptation (custom Fibonacci levels) and flexible styling (color, opacity, line thickness), this indicator saves you countless clicks and removes human error from swing selection. It provides a reliable, always-on highlight of where institutional orders commonly accumulate or distribute, making it easier to spot high-probability pullback entries or reversal areas.
Chart Illustration
This image shows our indicator automatically detecting major SMC swings and shading the Fibonacci 0.618–0.786 “Golden Zone” between each Break of Structure (BOS) and its subsequent Change of Character (CHoCH). By instantly plotting this band, you trade at a discounted price within the swing without manually identifying or drawing Fib lines. All retracement levels (e.g., 0.65/0.85, 0.50/0.75) and zone colors (fill, opacity, and boundary lines) are fully customizable—set your preferred ratios and styling once, and the indicator applies them on every new swing. This automation removes guesswork, saves clicks, and ensures you always see the most relevant pullback area in real time.
Minor Pullback
A minor pullback appears as a shallow retracement within an ongoing trend, without breaking the larger market structure. It represents a brief pause before price resumes its primary direction.
Traders can view minor pullbacks as opportunities to enter at slightly improved prices while the trend remains intact.
Observing how price recovers from a minor pullback helps confirm whether momentum continues in the same direction.
These pullbacks allow users to assess existing positions, consider small adjustments, and check nearby support or resistance levels.
Settings: Enabling “Show Internal Structure” highlights all minor pullbacks on the chart.
Example:
Major Pullback
A major pullback occurs when price retraces more deeply, often testing significant swing points or support/resistance zones. It can temporarily approach or break a key structure level before resuming the trend.
Traders might view a major pullback as a deeper buying opportunity in an uptrend or a validation of support.
Major pullbacks sometimes act as liquidity pools where stop-hunters target orders before a reversal.
The indicator flags major pullbacks distinctly, helping users recognize when caution is advised and when to adjust risk management.
Settings: Enabling “Mark High/Low” automatically labels major swing highs and lows.
Example:
SMC Market Structure
Smart Money Concepts focus on how institutions move price. This indicator highlights core structure components:
Break of Structure (BOS)
Indicates trend continuation when price breaks a previous swing high in an uptrend or swing low in a downtrend.
The indicator marks BOS events so users can verify that the prevailing direction remains intact.
Change of Character (CHOCH)
Signals a possible trend shift when price fails to make a new high in an uptrend and instead breaks the previous low, or vice versa.
CHOCH events are labeled to warn that momentum may be shifting.
Inducement (Trap Zones)
Marks areas where price briefly fakes a breakout to capture liquidity (stop-hunts) before reversing.
Identifying inducement moves helps avoid entries during false breakouts and encourages waiting for clearer confirmation.
The indicator labels induced swings, assisting in recognizing when a breakout may be a trap rather than a sustained move.
Example:
Order Blocks & Point of Interest (POI)
Order blocks represent price areas where institutional buying or selling created a significant move. This indicator distinguishes several types:
Point of Interest (POI)
A collective name for zones where price reactions often occur: Order Block, Breaker Block, and Mitigation Block.
Demand Zone (Bullish Order Block)
A price region where buy orders have overwhelmed sell orders, often forming a base before an upward move.
Traders may consider these zones when seeking long entries.
Supply Zone (Bearish Order Block)
Where sell orders exceed buy orders, frequently causing a downward reversal.
Traders might watch these zones for short entries or to set profit targets.
Breaker Block & Mitigation Block
Breaker Block appears after price breaks through a prior order block and then returns to test it from the opposite side, acting as flipped support or resistance.
Mitigation Block represents areas where institutions address unfilled orders created by previous moves, helping identify unbalanced liquidity.
Single Candle Order Block (SCOB)
A specific order block defined by one candlestick that initiates a notable price imbalance.
SCOBs often signal precise institutional interest and are flagged to show potential reversal or continuation levels.
Settings:
Enabling “Show POI” displays all Order Blocks, Breaker Blocks, and Mitigation Blocks.
Enabling “Institutional Order Block” toggles Demand/Supply Zones.
CONCLUSION
The Advance SMC ICT Indicator stands out by translating Smart Money Concepts into clear, actionable visuals—mapping inducement zones alongside four specialized order block types, including IDM and Extreme Order Blocks, to highlight where institutional activity is most likely concentrated. By combining precise structure analysis (BOS, CHOCH, inducements) with liquidity and fair value gap identification, it gives traders a nuanced view of where supply and demand pressures intersect. In practice, this means users can more easily spot where stop-runs may occur, recognize high-probability entry areas, and avoid common traps created by large-scale order flows.
While the Advance SMC ICT Indicator provides valuable insights into how professional participants interact with price, it is not a standalone trading system. Traders should always confirm its signals with their own analysis, apply sound risk management techniques, and consider broader market context before executing any trade.
Demand Index (Hybrid Sibbet) by TradeQUODemand Index (Hybrid Sibbet) by TradeQUO \
\Overview\
The Demand Index (DI) was introduced by James Sibbet in the early 1990s to gauge “real” buying versus selling pressure by combining price‐change information with volume intensity. Unlike pure price‐based oscillators (e.g. RSI or MACD), the DI highlights moves backed by above‐average volume—helping traders distinguish genuine demand/supply from false breakouts or low‐liquidity noise.
\Calculation\
\
\ \Step 1: Weighted Price (P)\
For each bar t, compute a weighted price:
```
Pₜ = Hₜ + Lₜ + 2·Cₜ
```
where Hₜ=High, Lₜ=Low, Cₜ=Close of bar t.
Also compute Pₜ₋₁ for the prior bar.
\ \Step 2: Raw Range (R)\
Calculate the two‐bar range:
```
Rₜ = max(Hₜ, Hₜ₋₁) – min(Lₜ, Lₜ₋₁)
```
This Rₜ is used indirectly in the exponential dampener below.
\ \Step 3: Normalize Volume (VolNorm)\
Compute an EMA of volume over n₁ bars (e.g. n₁=13):
```
EMA_Volₜ = EMA(Volume, n₁)ₜ
```
Then
```
VolNormₜ = Volumeₜ / EMA_Volₜ
```
If EMA\_Volₜ ≈ 0, set VolNormₜ to a small default (e.g. 0.0001) to avoid division‐by‐zero.
\ \Step 4: BuyPower vs. SellPower\
Calculate “raw” BuyPowerₜ and SellPowerₜ depending on whether Pₜ > Pₜ₋₁ (bullish) or Pₜ < Pₜ₋₁ (bearish). Use an exponential dampener factor Dₜ to moderate extreme moves when true range is small. Specifically:
• If Pₜ > Pₜ₋₁,
```
BuyPowerₜ = (VolNormₜ) / exp
```
otherwise
```
BuyPowerₜ = VolNormₜ.
```
• If Pₜ < Pₜ₋₁,
```
SellPowerₜ = (VolNormₜ) / exp
```
otherwise
```
SellPowerₜ = VolNormₜ.
```
Here, H₀ and L₀ are the very first bar’s High/Low—used to calibrate the scale of the dampening. If the denominator of the exponential is near zero, substitute a small epsilon (e.g. 1e-10).
\ \Step 5: Smooth Buy/Sell Power\
Apply a short EMA (n₂ bars, typically n₂=2) to each:
```
EMA_Buyₜ = EMA(BuyPower, n₂)ₜ
EMA_Sellₜ = EMA(SellPower, n₂)ₜ
```
\ \Step 6: Raw Demand Index (DI\_raw)\
```
DI_rawₜ = EMA_Buyₜ – EMA_Sellₜ
```
A positive DI\_raw indicates that buying force (normalized by volume) exceeds selling force; a negative value indicates the opposite.
\ \Step 7: Optional EMA Smoothing on DI (DI)\
To reduce choppiness, compute an EMA over DI\_raw (n₃ bars, e.g. n₃ = 1–5):
```
DIₜ = EMA(DI_raw, n₃)ₜ.
```
If n₃ = 1, DI = DI\_raw (no further smoothing).
\
\Interpretation\
\
\ \Crossing Zero Line\
• DI\_raw (or DI) crossing from below to above zero signals that cumulative buying pressure (over the chosen smoothing window) has overcome selling pressure—potential Long signal.
• Crossing from above to below zero signals dominant selling pressure—potential Short signal.
\ \DI\_raw vs. DI (EMA)\
• When DI\_raw > DI (the EMA of DI\_raw), bullish momentum is accelerating.
• When DI\_raw < DI, bullish momentum is weakening (or bearish acceleration).
\ \Divergences\
• If price makes new highs while DI fails to make higher highs (DI\_raw or DI declining), this hints at weakening buying power (“bearish divergence”), possibly preceding a reversal.
• If price makes new lows while DI fails to make lower lows (“bullish divergence”), this may signal waning selling pressure and a potential bounce.
\ \Volume Confirmation\
• A strong price move without a corresponding rise in DI often indicates low‐volume “fake” moves.
• Conversely, a modest price move with a large DI spike suggests true institutional participation—often a more reliable breakout.
\
\Usage Notes & Warnings\
\
\ \Never Use DI in Isolation\
It is a \filter\ and \confirmation\ tool—combine with price‐action (trendlines, support/resistance, candlestick patterns) and risk management (stop‐losses) before executing trades.
\ \Parameter Selection\
• \Vol EMA length (n₁)\: Commonly 13–20 bars. Shorter → more responsive to volume spikes, but noisier.
• \Buy/Sell EMA length (n₂)\: Typically 2 bars for fast smoothing.
• \DI smoothing (n₃)\: Usually 1 (no smoothing) or 3–5 for moderate smoothing. Long DI\_EMA (e.g. 20–50) gives a slower signal.
\ \Market Adaptation\
Works well in liquid futures, indices, and heavily traded stocks. In thinly traded or highly erratic markets, adjust n₁ upward (e.g., 20–30) to reduce noise.
---
\In Summary\
The Demand Index (James Sibbet) uses a three‐stage smoothing (volume → Buy/Sell Power → DI) to reveal true demand/supply imbalance. By combining normalized volume with price change, Sibbet’s DI helps traders identify momentum backed by real participation—filtering out “empty” moves and spotting early divergences. Always confirm DI signals with price action and sound risk controls before trading.
Demand Index (Hybrid Sibbet) by TradeQUO\ Demand Index (Hybrid Sibbet) by TradeQUO \
\ Overview\
The Demand Index (DI) was introduced by James Sibbet in the early 1990s to gauge “real” buying versus selling pressure by combining price‐change information with volume intensity. Unlike pure price‐based oscillators (e.g. RSI or MACD), the DI highlights moves backed by above‐average volume—helping traders distinguish genuine demand/supply from false breakouts or low‐liquidity noise.
\ Calculation\
\
\ \ Step 1: Weighted Price (P)\
For each bar t, compute a weighted price:
```
Pₜ = Hₜ + Lₜ + 2·Cₜ
```
where Hₜ=High, Lₜ=Low, Cₜ=Close of bar t.
Also compute Pₜ₋₁ for the prior bar.
\ \ Step 2: Raw Range (R)\
Calculate the two‐bar range:
```
Rₜ = max(Hₜ, Hₜ₋₁) – min(Lₜ, Lₜ₋₁)
```
This Rₜ is used indirectly in the exponential dampener below.
\ \ Step 3: Normalize Volume (VolNorm)\
Compute an EMA of volume over n₁ bars (e.g. n₁=13):
```
EMA_Volₜ = EMA(Volume, n₁)ₜ
```
Then
```
VolNormₜ = Volumeₜ / EMA_Volₜ
```
If EMA\_Volₜ ≈ 0, set VolNormₜ to a small default (e.g. 0.0001) to avoid division‐by‐zero.
\ \ Step 4: BuyPower vs. SellPower\
Calculate “raw” BuyPowerₜ and SellPowerₜ depending on whether Pₜ > Pₜ₋₁ (bullish) or Pₜ < Pₜ₋₁ (bearish). Use an exponential dampener factor Dₜ to moderate extreme moves when true range is small. Specifically:
• If Pₜ > Pₜ₋₁,
```
BuyPowerₜ = (VolNormₜ) / exp
```
otherwise
```
BuyPowerₜ = VolNormₜ.
```
• If Pₜ < Pₜ₋₁,
```
SellPowerₜ = (VolNormₜ) / exp
```
otherwise
```
SellPowerₜ = VolNormₜ.
```
Here, H₀ and L₀ are the very first bar’s High/Low—used to calibrate the scale of the dampening. If the denominator of the exponential is near zero, substitute a small epsilon (e.g. 1e-10).
\ \ Step 5: Smooth Buy/Sell Power\
Apply a short EMA (n₂ bars, typically n₂=2) to each:
```
EMA_Buyₜ = EMA(BuyPower, n₂)ₜ
EMA_Sellₜ = EMA(SellPower, n₂)ₜ
```
\ \ Step 6: Raw Demand Index (DI\_raw)\
```
DI_rawₜ = EMA_Buyₜ – EMA_Sellₜ
```
A positive DI\_raw indicates that buying force (normalized by volume) exceeds selling force; a negative value indicates the opposite.
\ \ Step 7: Optional EMA Smoothing on DI (DI)\
To reduce choppiness, compute an EMA over DI\_raw (n₃ bars, e.g. n₃ = 1–5):
```
DIₜ = EMA(DI_raw, n₃)ₜ.
```
If n₃ = 1, DI = DI\_raw (no further smoothing).
\
\ Interpretation\
\
\ \ Crossing Zero Line\
• DI\_raw (or DI) crossing from below to above zero signals that cumulative buying pressure (over the chosen smoothing window) has overcome selling pressure—potential Long signal.
• Crossing from above to below zero signals dominant selling pressure—potential Short signal.
\ \ DI\_raw vs. DI (EMA)\
• When DI\_raw > DI (the EMA of DI\_raw), bullish momentum is accelerating.
• When DI\_raw < DI, bullish momentum is weakening (or bearish acceleration).
\ \ Divergences\
• If price makes new highs while DI fails to make higher highs (DI\_raw or DI declining), this hints at weakening buying power (“bearish divergence”), possibly preceding a reversal.
• If price makes new lows while DI fails to make lower lows (“bullish divergence”), this may signal waning selling pressure and a potential bounce.
\ \ Volume Confirmation\
• A strong price move without a corresponding rise in DI often indicates low‐volume “fake” moves.
• Conversely, a modest price move with a large DI spike suggests true institutional participation—often a more reliable breakout.
\
\ Usage Notes & Warnings\
\
\ \ Never Use DI in Isolation\
It is a \ filter\ and \ confirmation\ tool—combine with price‐action (trendlines, support/resistance, candlestick patterns) and risk management (stop‐losses) before executing trades.
\ \ Parameter Selection\
• \ Vol EMA length (n₁)\ : Commonly 13–20 bars. Shorter → more responsive to volume spikes, but noisier.
• \ Buy/Sell EMA length (n₂)\ : Typically 2 bars for fast smoothing.
• \ DI smoothing (n₃)\ : Usually 1 (no smoothing) or 3–5 for moderate smoothing. Long DI\_EMA (e.g. 20–50) gives a slower signal.
\ \ Market Adaptation\
Works well in liquid futures, indices, and heavily traded stocks. In thinly traded or highly erratic markets, adjust n₁ upward (e.g., 20–30) to reduce noise.
---
\ In Summary\
The Demand Index (James Sibbet) uses a three‐stage smoothing (volume → Buy/Sell Power → DI) to reveal true demand/supply imbalance. By combining normalized volume with price change, Sibbet’s DI helps traders identify momentum backed by real participation—filtering out “empty” moves and spotting early divergences. Always confirm DI signals with price action and sound risk controls before trading.
Volume Range Profile with Fair Value (Zeiierman)█ Overview
The Volume Range Profile with Fair Value (Zeiierman) is a precision-built volume-mapping tool designed to help traders visualize where institutional-level activity is occurring within the price range — and how that volume behavior shifts over time.
Unlike traditional volume profiles that rely on fixed session boundaries or static anchors, this tool dynamically calculates and displays volume zones across both the upper and lower ends of a price range, revealing point-of-control (POC) levels, directional volume flow, and a fair value drift line that updates live with each candle.
You’re not just looking at volume anymore. You’re dissecting who’s in control — and at what price.
⚪ In simple terms:
Upper Zone = The upper portion of the price range, showing concentrated volume activity — typically where selling or distribution may occur
Lower Zone = The lower portion of the price range, highlighting areas of high volume — often associated with buying or accumulation
POC Bin = The bin (price level) with the highest traded volume in the zone — considered the most accepted price by the market
Fair Value Trend = A dynamic trend line tracking the average POC price over time — visualizing the evolving fair value
Zone Labels = Display real-time breakdown of buy/sell volume within each zone and inside the POC — revealing who’s in control
█ How It Works
⚪ Volume Zones
Upper Zone: Anchored at the highest high in the lookback period
Lower Zone: Anchored at the lowest low in the lookback period
Width is user-defined via % of range
Each zone is divided into a series of volume bins
⚪ Volume Bins (Histograms)
Each zone is split into N bins that show how much volume occurred at each level:
Taller = More volume
The POC bin (Point of Control) is highlighted
Labels show % of volume in the POC relative to the whole zone
⚪ Buy vs Sell Breakdown
Each volume bin is split by:
Buy Volume = Close ≥ Open
Sell Volume = Close < Open
The script accumulates these and displays total Buy/Sell volume per zone.
⚪ Fair Value Drift Line
A POC trend is plotted over time:
Represents where volume was most active across each range
Color changes dynamically — green for rising, red for falling
Serves as a real-time fair value anchor across changing market structure
█ How to Use
⚪ Identify Key Control Zones
Use Upper/Lower Zone structures to understand where supply and demand is building.
Zones automatically adapt to recent highs/lows and re-center volume accordingly.
⚪ Follow Institutional Activity
Watch for POC clustering near price tops or bottoms.
Large volumes near extremes may indicate accumulation or distribution.
⚪ Spot Fair Value Drift
The fair value trend line (average POC price) gives insight into market equilibrium.
One strategy can be to trade a re-test of the fair value trend, trades are taken in the direction of the current trend.
█ Understanding Buy & Sell Volume Labels (Zone Totals)
These labels show the total buy and sell volume accumulated within each zone over the selected lookback period:
Buy Vol (green label) → Total volume where candles closed bullish
Sell Vol (red label) → Total volume where candles closed bearish
Together, they tell you which side dominated:
Higher Buy Vol → Bullish accumulation zone
Higher Sell Vol → Bearish distribution zone
This gives a quick visual insight into who controlled the zone, helping you spot areas of demand or supply imbalance.
█ Understanding POC Volume Labels
The POC (Point of Control) represents the price level where the most volume occurred within the zone. These labels break down that volume into:
Buy % – How much of the volume was buying (price closed up)
Sell % – How much was selling (price closed down)
Total % – How much of the entire zone’s volume happened at the POC
Use it to spot strong demand or supply zones:
High Buy % + High Total % → Strong buying interest = likely support
High Sell % + High Total % → Strong selling pressure = likely resistance
It gives a deeper look into who was in control at the most important price level.
█ Why It’s Useful
Track where fair value is truly forming
Detect aggressive volume accumulation or dumping
Visually split buyer/seller control at the most relevant price levels
Adapt volume structures to current trend direction
█ Settings Explained
Lookback Period: Number of bars to scan for highs/lows. Higher = smoother zones, Lower = reactive.
Zone Width (% of Range): Controls how much of the range is used to define each zone. Higher = broader zones.
Bins per Zone: Number of volume slices per zone. Higher = more detail, but heavier on resources.
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Disclaimer
The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
Money Flow Pulse💸 In markets where volatility is cheap and structure is noisy, what matters most isn’t just the move — it’s the effort behind it. Money Flow Pulse (MFP) offers a compact, color-coded readout of real-time conviction by scoring volume-weighted price action on a five-tier scale. It doesn’t try to predict reversals or validate trends. Instead, it reveals the quality of the move in progress: is it fading , driving , exhausting , or hollow ?
🎨 MFP draws from the traditional Money Flow Index (MFI), a volume-enhanced momentum oscillator, but transforms it into a modular “pressure readout” that fits seamlessly into any structural overlay. Rather than oscillating between extremes with little interpretive guidance, MFP discretizes the flow into clean, color-coded regimes ranging from strong inflow (+2) to strong outflow (–2). The result is a responsive diagnostic layer that complements, rather than competes with, tools like ATR and/or On-Balance Volume.
5️⃣ MFP uses a normalized MFI value smoothed over 13 periods and classified into a 5-tier readout of Volume-Driven Conviction :
🍆 Exhaustion Inflow — usually a top or blowoff; not strength, but overdrive (+2)
🥝 Active Inflow — supportive of trend continuation (+1)
🍋 Neutral — chop, coil, or fakeouts (0)
🍑 Selling Intent — weakening structure, possible fade setups (-1)
🍆 Exhaustion Outflow — often signals forced selling or accumulation traps (-2)
🎭 These tiers are not arbitrary. Each one is tuned to reflect real capital behavior across timeframes. For instance, while +1 may support continuation, +2 often precedes exhaustion — especially on the lower timeframes. Similarly, a –1 reading during a pullback suggests sell-side pressure is building, but a shift to –2 may mean capitulation is already underway. The difference between the two can define whether a move is tradable continuation or strategic exhaustion .
🌊 The MFI ROC (Rate of Change) feature can be toggled to become a volatility-aware pulse monitor beneath the derived MFI tier. Instead of scoring direction or structure, ROC reveals how fast conviction is changing — not just where it’s headed, but how hard it's accelerating or decaying. It measures the raw Δ between the current and previous MFI values, exposing bursts of energy, fading pressure, or transitional churn .
🎢 Visually, ROC appears as a low-opacity area fill, anchored to a shared lemon-yellow zero line. When the green swell rises, buying pressure is accelerating; when the red drops, flow is actively deteriorating. A subtle bump may signal early interest — while a steep wave hints at an emotional overreaction. The ROC value itself provides numeric insight alongside the raw MFI score. A reading of +3.50 implies strong upside momentum in the flow — often supporting trend ignition. A score of –6.00 suggests rapid deceleration or full exhaustion — often preceding reversals or failed breakouts.
・ MFI shows you where the flow is
・ ROC tells you how it’s behaving
😎 This blend reveals not just structure or intent — but also urgency . And in flow-based trading, urgency often precedes outcome.
🧩 Divergence isn’t delay — it’s disagreement . One of the most revealing features of MFP is how it exposes momentum dissonance — situations where price and flow part ways. These divergences often front-run pivots , traps , or velocity stalls . Unlike RSI-style divergence, which whispers of exhaustion, MFI divergence signals a breakdown in conviction. The structure may extend — but the effort isn’t there.
・ Price ▲ MFI ▼ → Effortless Markup : Often signals distribution or a grind into liquidity. Without rising MFI, the rally lacks true flow participation — a warning of fragility.
・ Price ▼ MFI ▲ → Absorption or Early Accumulation : Price breaks down, but money keeps flowing in — a hidden bid. Watch for MFI tier shifts or ROC bursts to confirm a reversal.
🏄♂️ These moments don’t require signal overlays or setup hunting. MFP narrates the imbalance. When price breaks structure but flow does not — or vice versa — you’re not seeing trend, you’re seeing disagreement, and that's where edge begins.
💤 MFP is especially effective on intraday charts where volume dislocations matter most. On the 1H or 15m chart, it helps distinguish between breakouts with conviction versus those lacking flow. On higher timeframes, its resolution softens — it becomes more of a drift indicator than a trigger device. That’s by design: MFP prioritizes pulse, not position. It’s not the fire, it’s the heat.
📎 Use MFP in confluence with structural overlays to validate price behavior. A ribbon expansion with rising MFP is real. A compression breakout without +1 flow is "fishy". Watch how MFP behaves near key zones like anchored VWAP, MAs or accumulation pivots. When MFP rises into a +2 and fails to sustain, the reversal isn’t just technical — it’s flow-based.
🪟 MFP doesn’t speak loudly, but it never whispers without reason. It’s the pulse check before action — the breath of the move before the breakout. While it stays visually minimal on the chart, the true power is in the often overlooked Data Window, where traders can read and interpret the score in real time. Once internalized, these values give structure-aware traders a framework for conviction, continuation, or caution.
🛜 MFP doesn’t chase momentum — it confirms conviction. And in markets defined by noise, that signal isn’t just helpful — it’s foundational.
FVG Visual Trading ToolHow to Use the FVG Tool
1. Identify the FVG Zone
Bullish FVG: Look for green boxes that represent potential support zones. These are areas where price is likely to retrace before continuing upward.
Bearish FVG: Look for red boxes that represent potential resistance zones. These are areas where price is likely to retrace before continuing downward.
2. Set Up Your Trade
Entry: Place a limit order at the retracement zone (inside the FVG box). This ensures you enter the trade when the price retraces into the imbalance.
Stop-Loss (SL): Place your stop-loss just below the FVG box for bullish trades or just above the FVG box for bearish trades. The tool provides a suggested SL level.
Take-Profit (TP): Set your take-profit level at a 2:1 risk-reward ratio (or higher). The tool provides a suggested target level.
3. Let the Trade Run
Once your trade is set up, let it play out. Avoid micromanaging the trade unless market conditions change drastically.
Step-by-Step Example
Bullish FVG Trade
Identify the FVG:
A green box appears, indicating a bullish FVG.
The tool provides the target price (e.g., 0.6371) and the stop-loss level (e.g., 0.6339).
Set Up the Trade:
Place a limit buy order at the retracement zone (inside the green box).
Set your stop-loss just below the FVG box (e.g., 0.6339).
Set your take-profit at a 2:1 risk-reward ratio or the suggested target (e.g., 0.6371).
Monitor the Trade:
Wait for the price to retrace into the FVG zone and trigger your limit order.
Let the trade run until it hits the take-profit or stop-loss.
Bearish FVG Trade
Identify the FVG:
A red box appears, indicating a bearish FVG.
The tool provides the target price and the stop-loss level.
Set Up the Trade:
Place a limit sell order at the retracement zone (inside the red box).
Set your stop-loss just above the FVG box.
Set your take-profit at a 2:1 risk-reward ratio or the suggested target.
Monitor the Trade:
Wait for the price to retrace into the FVG zone and trigger your limit order.
Let the trade run until it hits the take-profit or stop-loss.
Key Features of the Tool in Action
Visual Clarity:
The green and red boxes clearly show the FVG zones, making it easy to identify potential trade setups.
Labels provide the target price and stop-loss level for quick decision-making.
Risk-Reward Management:
The tool encourages disciplined trading by providing predefined SL and TP levels.
A 2:1 risk-reward ratio ensures that profitable trades outweigh losses.
Hands-Off Execution:
By placing limit orders, you can let the trade execute automatically without needing to monitor the market constantly.
Best Practices
Trade in the Direction of the Trend:
Use higher timeframes (e.g., 4-hour or daily) to identify the overall trend.
Focus on bullish FVGs in an uptrend and bearish FVGs in a downtrend.
Combine with Confirmation Signals:
Look for additional confirmation, such as candlestick patterns (e.g., engulfing candles) or indicator signals (e.g., RSI, MACD).
Adjust Parameters for Volatility:
For highly volatile markets, consider increasing the stop-loss percentage to avoid being stopped out prematurely.
Avoid Overtrading:
Not every FVG is a good trading opportunity. Be selective and only trade setups that align with your strategy.
Backtest and Optimize:
Use historical data to test the tool and refine your approach before trading live.
Common Mistakes to Avoid
Entering Without Confirmation:
Wait for price to retrace into the FVG zone before entering a trade.
Avoid chasing trades that have already moved away from the zone.
Ignoring Risk Management:
Always use a stop-loss to protect your account.
Stick to a consistent risk-reward ratio.
Trading Against the Trend:
Avoid taking trades that go against the prevailing market trend unless there is strong evidence of a reversal.
Final Thoughts
The FVG Visual Trading Tool is a powerful aid for identifying high-probability trade setups. By following the steps outlined above, you can use the tool to trade with confidence and discipline. Remember, no tool guarantees success, so always combine it with sound trading principles and proper risk management
Cluster Reversal Zones📌 Cluster Reversal Zones – Smart Market Turning Point Detector
📌 Category : Public (Restricted/Closed-Source) Indicator
📌 Designed for : Traders looking for high-accuracy reversal zones based on price clustering & liquidity shifts.
🔍 Overview
The Cluster Reversal Zones Indicator is an advanced market reversal detection tool that helps traders identify key turning points using a combination of price clustering, order flow analysis, and liquidity tracking. Instead of relying on static support and resistance levels, this tool dynamically adjusts to live market conditions, ensuring traders get the most accurate reversal signals possible.
📊 Core Features:
✅ Real-Time Reversal Zone Mapping – Detects high-probability market turning points using price clustering & order flow imbalance.
✅ Liquidity-Based Support/Resistance Detection – Identifies strong rejection zones based on real-time liquidity shifts.
✅ Order Flow Sensitivity for Smart Filtering – Filters out weak reversals by detecting real market participation behind price movements.
✅ Momentum Divergence for Confirmation – Aligns reversal zones with momentum divergences to increase accuracy.
✅ Adaptive Risk Management System – Adjusts risk parameters dynamically based on volatility and trend state.
🔒 Justification for Mashup
The Cluster Reversal Zones Indicator contains custom-built methodologies that extend beyond traditional support/resistance indicators:
✔ Smart Price Clustering Algorithm: Instead of plotting fixed support/resistance lines, this system analyzes historical price clustering to detect active reversal areas.
✔ Order Flow Delta & Liquidity Shift Sensitivity: The tool tracks real-time order flow data, identifying price zones with the highest accumulation or distribution levels.
✔ Momentum-Based Reversal Validation: Unlike traditional indicators, this tool requires a momentum shift confirmation before validating a potential reversal.
✔ Adaptive Reversal Filtering Mechanism: Uses a combination of historical confluence detection + live market validation to improve accuracy.
🛠️ How to Use:
• Works well for reversal traders, scalpers, and swing traders seeking precise turning points.
• Best combined with VWAP, Market Profile, and Delta Volume indicators for confirmation.
• Suitable for Forex, Indices, Commodities, Crypto, and Stock markets.
🚨 Important Note:
For educational & analytical purposes only.
Balance of Power [SYNC & TRADE]Balance of Power
Overview
This indicator analyzes the balance of power between buyers and sellers in the market. It uses volume, price action and the relative strength index (RSI) to determine the strength of buyers and sellers, as well as to identify potential zones where one side dominates the other.
How it works
The indicator calculates the average volume over a specified period.
It determines the strength of each bar, taking into account volume and price action.
RSI is used as an additional factor to assess the strength of the trend.
Based on these factors, the "balance of power" between buyers and sellers is calculated.
When the balance of power exceeds a specified threshold, the indicator marks the beginning of the "buyer zone" or "seller zone".
How to use
Add the indicator to your chart in TradingView.
Configure the input parameters:
"Period for average volume": determines the sensitivity to volume changes.
"RSI period": affects the sensitivity of the RSI to price changes.
"Strength threshold": sets the level for determining a significant imbalance.
"Table Size": select the appropriate size of the information table.
Observe the signals on the chart:
Blue triangle up: the beginning of the buyer zone.
Red triangle down: the beginning of the seller zone.
Use the information table to get additional data:
Current balance of power
Buyers or sellers have strength
Current RSI value
Advantages
Comprehensive analysis of market conditions
Visual signals for potential entry points
Customizable parameters to adapt to different trading styles
Informative table for quick analysis of the current situation
Limitations
Like any indicator, it can give false signals
Requires additional analysis and confirmation with other tools
Efficiency may vary depending on market conditions
Recommendations
Use this indicator in combination with other analysis methods to make trading decisions. Experiment with the settings to optimize for your trading style and selected assets.
Balance of Power Ru
Обзор
Этот индикатор анализирует баланс сил между покупателями и продавцами на рынке. Он использует объем, ценовое движение и индекс относительной силы (RSI) для определения силы покупателей и продавцов, а также для выявления потенциальных зон, где одна сторона доминирует над другой.
Как это работает
Индикатор рассчитывает среднее значение объема за указанный период.
Он определяет силу каждого бара, учитывая объем и ценовое движение.
RSI используется как дополнительный фактор для оценки силы тренда.
На основе этих факторов вычисляется "баланс сил" между покупателями и продавцами.
Когда баланс сил превышает заданный порог, индикатор отмечает начало "зоны покупателей" или "зоны продавцов".
Как использовать
Добавьте индикатор на ваш график в TradingView.
Настройте входные параметры:
"Период для среднего объема": определяет чувствительность к изменениям объема.
"Период RSI": влияет на чувствительность RSI к ценовым изменениям.
"Порог силы": устанавливает уровень для определения значимого дисбаланса.
"Размер таблицы": выберите подходящий размер информационной таблицы.
Наблюдайте за сигналами на графике:
Синий треугольник вверх: начало зоны покупателей.
Красный треугольник вниз: начало зоны продавцов.
Используйте информационную таблицу для получения дополнительных данных:
Текущий баланс сил
Наличие силы у покупателей или продавцов
Текущее значение RSI
Преимущества
Комплексный анализ рыночных условий
Визуальные сигналы для потенциальных точек входа
Настраиваемые параметры для адаптации к разным торговым стилям
Информативная таблица для быстрого анализа текущей ситуации
Ограничения
Как и любой индикатор, может давать ложные сигналы
Требует дополнительного анализа и подтверждения другими инструментами
Эффективность может варьироваться в зависимости от рыночных условий
Рекомендации
Используйте этот индикатор в сочетании с другими методами анализа для принятия торговых решений. Экспериментируйте с настройками для оптимизации под ваш торговый стиль и выбранные активы.
Bitcoin Power Law Oscillator [InvestorUnknown]The Bitcoin Power Law Oscillator is a specialized tool designed for long-term mean-reversion analysis of Bitcoin's price relative to a theoretical midline derived from the Bitcoin Power Law model (made by capriole_charles). This oscillator helps investors identify whether Bitcoin is currently overbought, oversold, or near its fair value according to this mathematical model.
Key Features:
Power Law Model Integration: The oscillator is based on the midline of the Bitcoin Power Law, which is calculated using regression coefficients (A and B) applied to the logarithm of the number of days since Bitcoin’s inception. This midline represents a theoretical fair value for Bitcoin over time.
Midline Distance Calculation: The distance between Bitcoin’s current price and the Power Law midline is computed as a percentage, indicating how far above or below the price is from this theoretical value.
float a = input.float (-16.98212206, 'Regression Coef. A', group = "Power Law Settings")
float b = input.float (5.83430649, 'Regression Coef. B', group = "Power Law Settings")
normalization_start_date = timestamp(2011,1,1)
calculation_start_date = time == timestamp(2010, 7, 19, 0, 0) // First BLX Bitcoin Date
int days_since = request.security('BNC:BLX', 'D', ta.barssince(calculation_start_date))
bar() =>
= request.security('BNC:BLX', 'D', bar())
int offset = 564 // days between 2009/1/1 and "calculation_start_date"
int days = days_since + offset
float e = a + b * math.log10(days)
float y = math.pow(10, e)
float midline_distance = math.round((y / btc_close - 1.0) * 100)
Oscillator Normalization: The raw distance is converted into a normalized oscillator, which fluctuates between -1 and 1. This normalization adjusts the oscillator to account for historical extremes, making it easier to compare current conditions with past market behavior.
float oscillator = -midline_distance
var float min = na
var float max = na
if (oscillator > max or na(max)) and time >= normalization_start_date
max := oscillator
if (min > oscillator or na(min)) and time >= normalization_start_date
min := oscillator
rescale(float value, float min, float max) =>
(2 * (value - min) / (max - min)) - 1
normalized_oscillator = rescale(oscillator, min, max)
Overbought/Oversold Identification: The oscillator provides a clear visual representation, where values near 1 suggest Bitcoin is overbought, and values near -1 indicate it is oversold. This can help identify potential reversal points or areas of significant market imbalance.
Optional Moving Average: Users can overlay a moving average (either SMA or EMA) on the oscillator to smooth out short-term fluctuations and focus on longer-term trends. This is particularly useful for confirming trend reversals or persistent overbought/oversold conditions.
This indicator is particularly useful for long-term Bitcoin investors who wish to gauge the market's mean-reversion tendencies based on a well-established theoretical model. By focusing on the Power Law’s midline, users can gain insights into whether Bitcoin’s current price deviates significantly from what historical trends would suggest as a fair value.
Trail Blaze - (Multi Function Trailing Stop Loss) - [mutantdog]Shorter version:
As the title states, this is a 'Trailing Stop' type indicator, albeit one with a whole bunch of additional functionality, making it far more versatile and customisable than a standard trailing stop.
The main set of features includes:
Three independent trailing types each with their own +/- multipliers:
- Standard % change
- ATR (aka Supertrend)
- IQR (inter-quartile range)
These can be used in isolation or summed together. A subsequent pair of direction specific multipliers are also included.
Two separate custom source inputs are available, both feature the standard options alongside a selection of 'weighted inputs' and the option to use another indicator (selected via 'AUX'):
- 'Centre' determines the value about which the trailing sum will be added to define the stop level.
- 'Trigger' determines the value used for crossing of stops, initiating trend changes and triggering alerts.
A selection of optional filters and moving averages are available for both.
Furthermore there are various useful visualisation options available, including the underlying bands that govern the stop levels. Preset alerts for trend reversals are also included.
This is not really an 'out-of-the-box' indicator. Depending upon the market and timeframe some adjustments will be necessary for it to function in a useful manner, these can be as simple or complex as the feature-set allows. Basic settings are easy to dial in however and the default state is intended as a good starting point. Alternatively with some experimentation, a plethora of unique and creative configurations are possible, making this a great tool for tweaking. Below is a more detailed overview followed by a bunch of simple example settings.
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Lengthy Version :
DESIGN & CONCEPT
Before we start breaking this down, a little background. This started off as an attempt to improve upon the ever-popular Supertrend indicator. Of course there are many excellent user created variants available utilising some interesting methods to overcome the drawbacks of the basic version. To that end, rather than copying the work of others, the direction here shifted towards a hybrid trailing stop loss with a bunch of additional user customisation options. At some point, a completely different project involving IQR got morphed into this one. After sitting through months of sideways chop (where this proved to be of limited use), at the time of publication the market has began to form some near term trend direction and it appears to be performing well in many different timeframes.
And so with that out of the way...
INPUTS
The standard Supertrend (and most other variants) includes a single source input, as default set to 'hl2' (candle mid-range). This is the centre around which the atr bands are added/subtracted to govern the stop levels. This is not however the value which is used to trigger the trend reversal, that is usually hard-coded to 'close'. For this version both source values are adjustable: labelled 'centre' and 'trigger' respectively.
Each has custom input selectors including the usual options, a selection of 'weighted inputs' and the option to use another indicator (selected from the Aux input). The 'weighted inputs' are those introduced in Weight Gain 4000, for more details please refer to that listing. These should be treated as experimental, however may prove useful in certain configurations. In this case 'hl-oc2' can be considered an estimate of the candle median and may be a good alternative to the default 'centre' setting of 'hl2', in contrast 'cc-ohlc4' can tend to favour the extremes in the trend direction so could be useful as a faster 'trigger' than the default 'close'.
To cap them off both come with a selection of moving average filters (SMA, EMA, WMA, RMA, HMA, VWMA and a simple VWEMA - note: not elastic) aswell as median and mid-range. 'Centre' can also be set to the output of 'trigger' post-filter which can be useful if working with fast/slow crosses as the basis.
DYNAMICS
This is the main section, comprised of three separate factors: 'TSL', 'ATR' and 'IQR'. The first two should be fairly obvious, 'TSL' (trailing stop loss) is simply a percentage of the 'centre' value while 'ATR' (average true range) is the standard RMA-based version as used in Supertrend, Volatility Stop etc.
The third factor is less common however: 'IQR' (inter-quartile range). In case you are unfamiliar the principle here is, for a given dataset, the greatest 25% and smallest 25% of samples are removed. The remainder is then treated as a set and the range is calculated by highest - lowest. This is a commonly used method in statistical analysis, by removing the extremes it is less prone to influence by outliers and gives a good representation of the main dispersion around the median. In practise i have found it can be a good alternative to ATR, translating better across multiple time-frames due to it representing a fraction of the total range rather than an average of per-candle range like ATR. Used in combination with the others it can also add a factor more representative of longer-term/higher-timeframe trend. By discarding outliers it also benefits from not being impacted by brief pumps/volatility, instead responding only to more sustained changes in trend, such as rallies and parabolic moves. In order to give an accurate result the IQR is calculated using a dataset of high, low and hlcc4 values for all bars within the lookback length. Once calculated this value is then halved which, strictly speaking, makes it a semi-interquartile range.
All three of these components can be used individually or summed together to create a hybrid dynamics factor. Furthermore each multiplier can be set to both positive and negative values allowing for some interesting and creative possibilities. An optional smoothing filter can be applied to the sum, this is a basic SWMA-4 which is can reduce the impact of sudden changes but does incur a noticeable lag. Finally, a basic limiter condition has been hard-coded here to prevent the sum total from ever going below zero.
Capping off this section is a pair of direction multipliers. These simply take the prior dynamics sum and allow for further multiplication applied only to one side (uptrend/lo-stop and downtrend/hi-stop). To see why this is useful consider that markets often behave differently in each direction, we've all seen prices steadily climb over several weeks and then abruptly dump in the process of a day or two, shorter time frames are no stranger to this either. A lack of downside liquidity, a panicked market, aggressive shorts. All these things contribute to significant differences in downward price action. This function allows for tighter stops in one direction compared to the other to reflect this imbalance.
VISUALISATIONS
With all of these options and possibilities, some visual aids are useful. Beneath the dynamics' section are several visual options including both sources post-filter and the actual 'bands' created by the dynamics. These are what govern the stop levels and seeing them in full can help to better understand what our various configurations actually do. We can even hide the stop levels altogether and just use the bands, making this a kind of expanded Keltner Channel. Here we can also find colour and opacity settings for everything we've discussed.
EXAMPLES
The obvious first example here is the standard %-change trailing stop loss which, from my experience, tends to be the best suited for lower time frames. Filtering should probably minimal here. In both charts here we use the default config for source inputs, the top is a standard bi-directional setup with 1.5% tsl while the bottom uses a 2.5% tsl with the histop multiplier reduced to 0 resulting in an uptrend only stoploss.
Shown here in grey is the standard Supertrend which uses 'hl2' as centre and 'close' as trigger, ATR(10) multiplied by 3. On top we have the default filtered source config with ATR(8) multiplied by 2 which gives a different yet functionally similar result, below is the same source config instead using IQR(12) multiplied by 2. Notice here the more 'stepped' response from IQR following the central rally, holding back for a while before closing in on price and ultimately initiating reversal much sooner. Unlike ATR, the length parameter for IQR is absolute and can more significantly affect its responsiveness.
Next we focus on the visualisation options, on top we have the default source config with ATR(8) multiplied by 2 and IQR(12) multiplied by 1. Here we have activated the switch to show 'bands', from this we can see the actual summed dynamics and how it influences the stop levels. Below that we have an altogether different config utilising the included filters which are now visible. In this example we have created a basic 8/21 EMA cross and set a 1% TSL, notice the brief fakeout in the middle which ordinarily might indicate a buy signal. Here the TSL functions as an additional requirement which in this case is not met and thus no buy signal is given.
Finally we have a couple of more 'experimental' examples. On top we have Lazybear's 'Variable Moving Average' in white which has been assigned via 'aux' as the centre with no additional filtering, the default config for trigger is used here and a basic TSL of 1.5% added. It's a simple example but it shows how this can be applied to other indicators. At the bottom we return to the default source config, combining a TSL of 8% with IQR(24) multiplied by -2. Note here the negative IQR with greater length which causes the stop to close in on price following significant deviations while otherwise remaining fairly wide. Combining positive and negative multiples of each factor can yield mixed results, some more useful than others depending upon suitable market conditions.
Since this has been quite lengthy, i shall leave it there. Suffice to say that there are plenty more ways to use this besides these examples. Please feel free to share any of your own ideas in the comments below. Enjoy.
MarketProfile HLMarketProfile HL dynamically calculates and displays a side histogram of the distribution of volumes with colors along a gradient, which is set to a given number of candles. The histogram is overlaid on the candlesticks to visually represent areas of market balance and imbalance. The indicator uses the concepts of statistical distribution and is based on the market profile theory.
The gradient color of the levels shows where more or less horizontal volume accumulates.
Adapts to any timeframe or instrument.
Customizable display of horizontal levels HL and POC.
The HL and POC levels protrude beyond the boundaries of the main histogram on the right for a more convenient determination of dynamic centers and accumulation boundaries.
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MarketProfile HL динамически рассчитывает и отображает боковую гистограмму распределения объемов с цветами по градиенту, которая настроена на заданное количество свечей. Гистограмма накладывается на свечи, чтобы визуально представить области рыночного баланса и дисбаланса. Индикатор использует концепции статистического распределения и основан на теории профиля рынка.
Градиентный цвет уровней показывает, где накапливается больше или меньше горизонтального объема.
Адаптируется к любому таймфрейму или инструменту.
Настраиваемое отображение горизонтальных уровней HL и POC.
Уровни HL и POC выступают за границы основной гистограммы справа для более удобного определения динамических центров и границ накоплений.
ProConcepts (v-1.0.2)ProConcepts is a smart moeny concepts indicator that has several primary functions and features.
BOS Feature: BOS stands for break of structure and this is used to determine market structure support and resistance breakouts. The blue and red lines plot the pivot highs and lows on every time frame. When a trend is in a single direction and BOS appears, that is a strong sign that market structure is broken and the trend will continue.
CHOCH Feature: Similar to BOS the change of character feature is also a smart money concept where in a trend, CHOCH essentially is used to help determine a change of that trend with a low being violated in an uptrend or a high being violated in a downtrend. CHOCH is what determines the high lows of the trend.
Shaded Candle Feature: The candles are shaded either red or blue based on the trend. the CHOCH as discussed previously determines the trend and shades the candles blue and red according to the highs and lows.
Sessions Shading Feature: The background shading with lower opacity indicates a sessions feature that seperates the main trading sessions of the day, London, Asia, and New York. They are color coordinated and can be changed to fit your needs as a trader.
FVG Feature: FVG stands for fair value gap which is an area on the chart where there is a single directional movement either bullish for the blue FVG and bearish for the red FVG. These fvgs are strong areas of interest for rejections of price because they are agressive movements similar to an imbalance. The FVG should be used as a retest confirmation of a trend during a breakout of the BOS or a CHOCH.
High Low Feature: Disabled on the default chart is a a high low feature that marks all of the high lows of a trend so you can identify areas of support and resistance.
coates moving averages (cma)This indicator uses three moving averages:
2 period low simple ma
2 period high simple ma
9 period least squares ma
The trend is determined by the angle of the moving averages, current close relative the the 9 least squares ma (lsm) and the current close relative to the prior two periods high and low.
When there are consecutive closes inside the prior two candles high and low then a range is signaled:
In ranges the buy zone is between the lowest low and the lowest close of the current range. The sell zone is between the highest high and the highest close. The zones are adjusted as long as the new close is within the prior two candles range:
When price closes above the 2 high ma and the 9 lsm then a bull trend is signaled if all moving averages are angled upward (as seen at #4 in the chart above and #1 the chart below ). If the 9 lsm and / or the 2 low ma continue to angle downward, following a close above the 2 high ma and 9 lsm, then a prolonged range or reversal is expected (#2 in the chart below):
During a bull trend the buy zone is between the 2 low ma and the 9 lsm. The profit target is the 2 high ma:
During dip buying opportunities price should resist closing below the 9 lsm. If there is one close below the 9 lsm then it is a canary in the coalmine that tells us to proceed with caution. This will often signal a range, based on the conditions outlined above. To avoid a prolonged range, or reversal, price needs to immediately react in the direction of the prevailing trend:
If the moving averages are angled down and the most recent close is below the 2 low ma and 9 lsm then trend is fully bearish:
During a bear trend the short zone is between the 2 high ma and 9 lsm. The profit target is the 2 low ma:
When the 2 high ma angles down and the 2 low ma angles up while price closes inside both mas then it indicates a cma squeeze:
Volatility is expected in the direction of the breakout following the squeeze. In this situation traps / shakeouts are common. If there is a wick outside the cma, with a close inside, then it indicates a trap / shakeout. If there is a close outside the 2 high / low ma then it signals a breakout.
A trend is considered balanced when the 9 lsm is roughly equidistant from the 2 low and 2 high mas. If the 9 lsm crosses the 2 high or 2 low ma then it signals exhaustion / imbalance.
For a stop loss I use the prior three periods low, for bull trends, and the prior three periods high for bear trends. I would expect other reliable stops, such as the parabolic sar or bill williams fractal, to be effective as well. The default moving averages should be very effective on all timeframes and assets classes, however this indicator was developed for bitcoin with a focus on higher timeframes such as the 4h, daily and weekly.
As with any other technical indicator there will be bad signals. Proceed with caution and never risk more than you are willing to lose.
GEEKSDOBYTE IFVG w/ Buy/Sell Signals1. Inputs & Configuration
Swing Lookback (swingLen)
Controls how many bars on each side are checked to mark a swing high or swing low (default = 5).
Booleans to Toggle Plotting
showSwings – Show small triangle markers at swing highs/lows
showFVG – Show Fair Value Gap zones
showSignals – Show “BUY”/“SELL” labels when price inverts an FVG
showDDLine – Show a yellow “DD” line at the close of the inversion bar
showCE – Show an orange dashed “CE” line at the midpoint of the gap area
2. Swing High / Low Detection
isSwingHigh = ta.pivothigh(high, swingLen, swingLen)
Marks a bar as a swing high if its high is higher than the highs of the previous swingLen bars and the next swingLen bars.
isSwingLow = ta.pivotlow(low, swingLen, swingLen)
Marks a bar as a swing low if its low is lower than the lows of the previous and next swingLen bars.
Plotting
If showSwings is true, small red downward triangles appear above swing highs, and green upward triangles below swing lows.
3. Fair Value Gap (3‐Bar) Identification
A Fair Value Gap (FVG) is defined here using a simple three‐bar logic (sometimes called an “inefficiency” in price):
Bullish FVG (bullFVG)
Checks if, two bars ago, the low of that bar (low ) is strictly greater than the current bar’s high (high).
In other words:
bullFVG = low > high
Bearish FVG (bearFVG)
Checks if, two bars ago, the high of that bar (high ) is strictly less than the current bar’s low (low).
In other words:
bearFVG = high < low
When either condition is true, it identifies a three‐bar “gap” or unfilled imbalance in the market.
4. Drawing FVG Zones
If showFVG is enabled, each time a bullish or bearish FVG is detected:
Bullish FVG Zone
Draws a semi‐transparent green box from the bar two bars ago (where the gap began) at low up to the current bar’s high.
Bearish FVG Zone
Draws a semi‐transparent red box from the bar two bars ago at high down to the current bar’s low.
These colored boxes visually highlight the “fair value imbalance” area on the chart.
5. Inversion (Fill) Detection & Entry Signals
An inversion is defined as the price “closing through” that previously drawn FVG:
Bullish Inversion (bullInversion)
Occurs when a bullish FVG was identified on bar-2 (bullFVG), and on the current bar the close is greater than that old bar-2 low:
bullInversion = bullFVG and close > low
Bearish Inversion (bearInversion)
Occurs when a bearish FVG was identified on bar-2 (bearFVG), and on the current bar the close is lower than that old bar-2 high:
bearInversion = bearFVG and close < high
When an inversion is true, the indicator optionally draws two lines and a label (depending on input toggles):
Draw “DD” Line (yellow, solid)
Plots a horizontal yellow line from the current bar’s close price extending five bars forward (bar_index + 5). This is often referred to as a “Demand/Daily Demand” line, marking where price inverted the gap.
Draw “CE” Line (orange, dashed)
Calculates the midpoint (ce) of the original FVG zone.
For a bullish inversion:
ce = (low + high) / 2
For a bearish inversion:
ce = (high + low) / 2
Plots a horizontal dashed orange line at that midpoint for five bars forward.
Plot Label (“BUY” / “SELL”)
If showSignals is true, a green “BUY” label is placed at the low of the current bar when a bullish inversion occurs.
Likewise, a red “SELL” label at the high of the current bar when a bearish inversion happens.
6. Putting It All Together
Swing Markers (Optional):
Visually confirm recent swing highs and swing lows with small triangles.
FVG Zones (Optional):
Highlight areas where price left a 3-bar gap (bullish in green, bearish in red).
Inversion Confirmation:
Wait for price to close beyond the old FVG boundary.
Once that happens, draw the yellow “DD” line at the close, the orange dashed “CE” line at the zone’s midpoint, and place a “BUY” or “SELL” label exactly on that bar.
User Controls:
All of the above elements can be individually toggled on/off (showSwings, showFVG, showSignals, showDDLine, showCE).
In Practice
A bullish FVG forms whenever a strong drop leaves a gap in liquidity (three bars ago low > current high).
When price later “fills” that gap by closing above the old low, the script signals a potential long entry (BUY), draws a demand line at the closing price, and marks the midpoint of that gap.
Conversely, a bearish FVG marks a potential short zone (three bars ago high < current low). When price closes below that gap’s high, it signals a SELL, with similar lines drawn.
By combining these elements, the indicator helps users visually identify inefficiencies (FVGs), confirm when price inverts/fills them, and place straightforward buy/sell labels alongside reference lines for trade management.
DD IFVG [Pro+] (Dodgy)Introduction
DD IFVG° is an automated charting tool built to track inversion logic after displacement events—specifically when Fair Value Gaps (FVGs) are closed through and act as an inversion gap. The tool adheres to logic taught by DodgyDD and inspired by Inner Circle Trader (ICT) methodology, offering a clean visual interface to support traders studying price behaviour after liquidity sweeps, FVG closures, and delivery to targets.
This indicator does not draw zones or suggest direction. It operates entirely on confirmed price events and produces logic-bound visuals designed for traders who already understand IFVG-based reasoning and seek visual consistency across sessions and Timeframes.
Key Terms and Definitions
Swing High / Swing Low: A swing high is a local price peak with lower highs on either side. A swing low is a local trough with higher lows on either side. These are used to detect where liquidity may rest and are required for confirming the initial raid condition in the IFVG model.
Liquidity Raid: This occurs when price breaks a prior swing high or low, effectively “sweeping” a level where orders may be clustered. A raid is a required precursor to inversion logic in this model. The tool will not evaluate a potential Fair Value Gap or DD Inversion unless a swing high or low has been taken first.
Fair Value Gap (FVG): A Fair Value Gap is a price imbalance that occurs when a strong move leaves a gap between candles—specifically, when the high of one candle and the low of a later candle do not overlap. FVGs often emerge during displacement and are commonly studied as inefficiencies within a price leg.
DD Inversion: A DD inversion happens when price fully closes through an existing Fair Value Gap after raiding liquidity, suggesting the original imbalance rebalanced, and looks to reverse its original role. For example, when a bearish FVG is closed above after raiding a swing low, it may behave with a change of orderflow (bullish inversion). The tool recognizes IFVGs as “inverted” after a full-body candle closes through the gap post raid.
Displacement: A strong, directional price move—typically with momentum—that leaves a Fair Value Gap behind. Displacement is important in inversion logic, as it creates the context and confidence in comparing and contrasting FVGs and DD Inversions for obvious flips in market behaviour.
DD Line: Once inversion occurs, the tool draws a single horizontal array on the candle's close. It marks the model’s activation level—not a prediction level or a support/resistance zone. It serves as a reference for when model logic is sequentially active.
Opposing Swing: The swing high or low opposite the one that was swept during the initial raid. This becomes the model’s first target for mechanical delivery and is automatically drawn once the DD line is triggered. When price reaches this swing, the model has reached its objective and could offer opportunities for further continuation to additional liquidity pools.
Invalidation: A DD Inversion is considered invalid in one of two scenarios, which the user can toggle individually: a body print back above/below the inversion in bearish/bullish conditions, or trading above/below the most recent swing high/low after the liquidity raid in bearish/bullish conditions. The DD line will continue extending when traded to until the setup is invalidated, or when the Opposing Swing is reached.
Consequent Encroachment (CE): The midpoint (50%) of the FVG or IFVG. This line can be optionally displayed for users who use midpoint reference logic. It is not required by the model’s internal logic but may assist with discretionary interpretation.
Description
At its core, DD IFVG° follows a structured three-step logic sequence: a FVG is created, liquidity is taken, and the Fair Value Gap (FVG) inside of the leg of the raid is closed through, signally a potential orderflow shift. Once inversion is confirmed, a DD line is plotted at the close of the candle that caused the inversion, making it the structural anchor for the model.
The tool does not account for partial fills or candle wicks for FVGs or IFVGs. Only full-body closures through a qualifying FVG are recognized. When this occurs, a bullish or bearish inversion is validated and the model becomes active. From there, the opposing swing (the unswept high or low from the displacement leg) is automatically drawn as the target for the IFVG model.
The model remains active until either the opposing swing is tagged (completion) or Invalidation Condition is triggered (close through DD IFVG, or price violating the liquidity raid swing). Upon invalidation, the DD line turns gray, signalling that the structure is no longer valid for ongoing tracking.
Key Features
The Bias allows traders to define whether to track bullish inversions (closing above bearish FVGs), bearish inversions (closing below bullish FVGs), or neutral for both. This allows isolate directional focus or display all structures on the same chart mechanically.
The Liquidity Timeframe defines the Timeframe for swing highs and lows that are identified for the required liquidity raid. The Chart mode allows analysts to use the active chart Timeframe. Auto enables a custom Timeframe Alignment, explained inside of the setting tooltip. Custom allows for specific frame alignment, which is helpful when syncing with specific higher-Timeframe structure. Session allows the user to use session highs and lows for the liquidity raid. Observe the difference in the DD IFVG's frequency based on different Liquidity Timeframe configurations:
Chart:
Automatic:
Custom (1H):
Session:
The FVG Filter Timeframe requires the DD setup to trade into a FVG before qualifying the raid filter. For instance, setting this to 4H ensures that only setups that form within a 4-hour FVG. This gives analysts an additional filter to qualify the start of the mechanical model.
Session Filter enables traders to define up to four specific Time blocks when the model is permitted to trigger. The Macros Only toggle filters setups further by limiting activation to the first and last 10 minutes of each hour—a filter inspired for intraday traders and scalpers.
The Invalidation Condition determines when a DD inversion is considered not longer valid. Close will maintain the inversion as active until price prints a body past the DD IFVG. Swing will maintain the inversion as active until the most recent swing from the liquidity raid is traded through; in this case a warning will appear once price prints a candle body past the DD IFVG.
Model Style includes customizable controls for the DD line, the opposing swing marker, and invalidated states. Label appearance, line styles, and extension behaviour are fully user-controlled. Traders can also enable the Consequent Encroachment (CE) line, which marks the 50% midpoint of the FVG and IFVG.
An Info Table is available to display current model state, including user bias, active Timeframes, asset, and Time filter. Its position is fully customizable and can be moved to match chart preferences.
How Traders Can Use the Indicator Effectively
DD IFVG° is not meant to identify trade signals, entries, or exits. It is best used as a visual tracker and confluence for structure-based delivery, particularly for those following DodgyDD-style IFVG logic. The tool excels as a companion for:
Journaling and reviewing IFVG-based setups across Timeframes and sessions
Studying structural completion or invalidation behaviour
Tracking delayed deliveries and retracement-based logic
Traders using the tool should be familiar with FVG formation, inversion criteria, and the importance of opposing swing resolution.
Usage Guidance
Add DD IFVG° to a TradingView chart. This is a fractal script and can be applied across any Timeframe or asset pairing depending on your session model and preferences.
Use the DD line to track inversion structure, monitor when inversions are created and negated, and reference the opposing swing to determine whether structural delivery has completed.
Use the DD IFVG° in combination with your own discretion and narrative to assess when the model has flipped, held, or broken.
Terms and Conditions
Our charting tools are products provided for informational and educational purposes only and do not constitute financial, investment, or trading advice. Our charting tools are not designed to predict market movements or provide specific recommendations. Users should be aware that past performance is not indicative of future results and should not be relied upon for making financial decisions. By using our charting tools, the purchaser agrees that the seller and the creator are not responsible for any decisions made based on the information provided by these charting tools. The purchaser assumes full responsibility and liability for any actions taken and the consequences thereof, including any loss of money or investments that may occur as a result of using these products. Hence, by purchasing these charting tools, the customer accepts and acknowledges that the seller and the creator are not liable nor responsible for any unwanted outcome that arises from the development, the sale, or the use of these products. Finally, the purchaser indemnifies the seller from any and all liability. If the purchaser was invited through the Friends and Family Program, they acknowledge that the provided discount code only applies to the first initial purchase of any Toodegrees product. The purchaser is therefore responsible for cancelling – or requesting to cancel – their subscription in the event that they do not wish to continue using the product at full retail price. If the purchaser no longer wishes to use the products, they must unsubscribe from the membership service, if applicable. We hold no reimbursement, refund, or chargeback policy. Once these Terms and Conditions are accepted by the Customer, before purchase, no reimbursements, refunds or chargebacks will be provided under any circumstances.
By continuing to use these charting tools, the user acknowledges and agrees to the Terms and Conditions outlined in this legal disclaimer.
ICT Intraday FrameworkAutomating The Basics Of ICT Intraday Concepts:
NWOG/NDOG
-from 4:14pm to 9:29am a line will be drawn from 4:14pm close to anticipate ndog/nwog
-once 9:30am or later NDOG/NWOG is drawn with High, Mid, and Low prices
-has option to extend High, Mid, and Low price lines until start of new day at 2/3pm
First Presented Imbalance
-draws fp imb from 9:30-10am
-has option to extend High, Mid, and Low price lines until start of new day at 2/3pm
Custom Macro Window
-draw box around high and low of macro
-first presented imbalance of macro window
Future concepts im planning to add:
Asia BSL/SSL Highlight
Nirmal Fair Value GapsICT Fair Value Gaps
Trade Wisely
How a Fair Value Gap Works
Formation:
A Fair Value Gap occurs when a strong price movement (usually from institutional orders) creates an imbalance between buyers and sellers.
This is typically seen in a three-candle pattern, where the middle candle has a large body, and the two surrounding candles have wicks but little overlap with the middle candle’s range.
Identification:
The FVG is marked between the high of the first candle and the low of the third candle (for bullish gaps).
For bearish gaps, it’s the low of the first candle and the high of the third candle.
Market Behavior Around FVG:
Price often retraces into the gap before resuming its original direction.
This happens because the market seeks to "fill" the imbalance where few trades occurred.
Traders use FVGs as potential entry zones for trend continuation trades.
Trading Fair Value Gaps
In an Uptrend:
Look for bullish fair value gaps as potential support zones for buy entries.
Price may dip into the gap and then continue upward.
In a Downtrend:
Look for bearish fair value gaps as potential resistance zones for sell entries.
Price may retrace into the gap and then drop further.
Confluence Factors:
FVGs work best when combined with other strategies like order blocks, liquidity zones, or key Fibonacci levels.
MMXM ICT [TradingFinder] Market Maker Model PO3 CHoCH/CSID + FVG🔵 Introduction
The MMXM Smart Money Reversal leverages key metrics such as SMT Divergence, Liquidity Sweep, HTF PD Array, Market Structure Shift (MSS) or (ChoCh), CISD, and Fair Value Gap (FVG) to identify critical turning points in the market. Designed for traders aiming to analyze the behavior of major market participants, this setup pinpoints strategic areas for making informed trading decisions.
The document introduces the MMXM model, a trading strategy that identifies market maker activity to predict price movements. The model operates across five distinct stages: original consolidation, price run, smart money reversal, accumulation/distribution, and completion. This systematic approach allows traders to differentiate between buyside and sellside curves, offering a structured framework for interpreting price action.
Market makers play a pivotal role in facilitating these movements by bridging liquidity gaps. They continuously quote bid (buy) and ask (sell) prices for assets, ensuring smooth trading conditions.
By maintaining liquidity, market makers prevent scenarios where buyers are left without sellers and vice versa, making their activity a cornerstone of the MMXM strategy.
SMT Divergence serves as the first signal of a potential trend reversal, arising from discrepancies between the movements of related assets or indices. This divergence is detected when two or more highly correlated assets or indices move in opposite directions, signaling a likely shift in market trends.
Liquidity Sweep occurs when the market targets liquidity in specific zones through false price movements. This process allows major market participants to execute their orders efficiently by collecting the necessary liquidity to enter or exit positions.
The HTF PD Array refers to premium and discount zones on higher timeframes. These zones highlight price levels where the market is in a premium (ideal for selling) or discount (ideal for buying). These areas are identified based on higher timeframe market behavior and guide traders toward lucrative opportunities.
Market Structure Shift (MSS), also referred to as ChoCh, indicates a change in market structure, often marked by breaking key support or resistance levels. This shift confirms the directional movement of the market, signaling the start of a new trend.
CISD (Change in State of Delivery) reflects a transition in price delivery mechanisms. Typically occurring after MSS, CISD confirms the continuation of price movement in the new direction.
Fair Value Gap (FVG) represents zones where price imbalance exists between buyers and sellers. These gaps often act as price targets for filling, offering traders opportunities for entry or exit.
By combining all these metrics, the Smart Money Reversal provides a comprehensive tool for analyzing market behavior and identifying key trading opportunities. It enables traders to anticipate the actions of major players and align their strategies accordingly.
MMBM :
MMSM :
🔵 How to Use
The Smart Money Reversal operates in two primary states: MMBM (Market Maker Buy Model) and MMSM (Market Maker Sell Model). Each state highlights critical structural changes in market trends, focusing on liquidity behavior and price reactions at key levels to offer precise and effective trading opportunities.
The MMXM model expands on this by identifying five distinct stages of market behavior: original consolidation, price run, smart money reversal, accumulation/distribution, and completion. These stages provide traders with a detailed roadmap for interpreting price action and anticipating market maker activity.
🟣 Market Maker Buy Model
In the MMBM state, the market transitions from a bearish trend to a bullish trend. Initially, SMT Divergence between related assets or indices reveals weaknesses in the bearish trend. Subsequently, a Liquidity Sweep collects liquidity from lower levels through false breakouts.
After this, the price reacts to discount zones identified in the HTF PD Array, where major market participants often execute buy orders. The market confirms the bullish trend with a Market Structure Shift (MSS) and a change in price delivery state (CISD). During this phase, an FVG emerges as a key trading opportunity. Traders can open long positions upon a pullback to this FVG zone, capitalizing on the bullish continuation.
🟣 Market Maker Sell Model
In the MMSM state, the market shifts from a bullish trend to a bearish trend. Here, SMT Divergence highlights weaknesses in the bullish trend. A Liquidity Sweep then gathers liquidity from higher levels.
The price reacts to premium zones identified in the HTF PD Array, where major sellers enter the market and reverse the price direction. A Market Structure Shift (MSS) and a change in delivery state (CISD) confirm the bearish trend. The FVG then acts as a target for the price. Traders can initiate short positions upon a pullback to this FVG zone, profiting from the bearish continuation.
Market makers actively bridge liquidity gaps throughout these stages, quoting continuous bid and ask prices for assets. This ensures that trades are executed seamlessly, even during periods of low market participation, and supports the structured progression of the MMXM model.
The price’s reaction to FVG zones in both states provides traders with opportunities to reduce risk and enhance precision. These pullbacks to FVG zones not only represent optimal entry points but also create avenues for maximizing returns with minimal risk.
🔵 Settings
Higher TimeFrame PD Array : Selects the timeframe for identifying premium/discount arrays on higher timeframes.
PD Array Period : Specifies the number of candles for identifying key swing points.
ATR Coefficient Threshold : Defines the threshold for acceptable volatility based on ATR.
Max Swing Back Method : Choose between analyzing all swings ("All") or a fixed number ("Custom").
Max Swing Back : Sets the maximum number of candles to consider for swing analysis (if "Custom" is selected).
Second Symbol for SMT : Specifies the second asset or index for detecting SMT divergence.
SMT Fractal Periods : Sets the number of candles required to identify SMT fractals.
FVG Validity Period : Defines the validity duration for FVG zones.
MSS Validity Period : Sets the validity duration for MSS zones.
FVG Filter : Activates filtering for FVG zones based on width.
FVG Filter Type : Selects the filtering level from "Very Aggressive" to "Very Defensive."
Mitigation Level FVG : Determines the level within the FVG zone (proximal, 50%, or distal) that price reacts to.
Demand FVG : Enables the display of demand FVG zones.
Supply FVG : Enables the display of supply FVG zones.
Zone Colors : Allows customization of colors for demand and supply FVG zones.
Bottom Line & Label : Enables or disables the SMT divergence line and label from the bottom.
Top Line & Label : Enables or disables the SMT divergence line and label from the top.
Show All HTF Levels : Displays all premium/discount levels on higher timeframes.
High/Low Levels : Activates the display of high/low levels.
Color Options : Customizes the colors for high/low lines and labels.
Show All MSS Levels : Enables display of all MSS zones.
High/Low MSS Levels : Activates the display of high/low MSS levels.
Color Options : Customizes the colors for MSS lines and labels.
🔵 Conclusion
The Smart Money Reversal model represents one of the most advanced tools for technical analysis, enabling traders to identify critical market turning points. By leveraging metrics such as SMT Divergence, Liquidity Sweep, HTF PD Array, MSS, CISD, and FVG, traders can predict future price movements with precision.
The price’s interaction with key zones such as PD Array and FVG, combined with pullbacks to imbalance areas, offers exceptional opportunities with favorable risk-to-reward ratios. This approach empowers traders to analyze the behavior of major market participants and adopt professional strategies for entry and exit.
By employing this analytical framework, traders can reduce errors, make more informed decisions, and capitalize on profitable opportunities. The Smart Money Reversal focuses on liquidity behavior and structural changes, making it an indispensable tool for financial market success.
FVG Breakout/BreakdownThe FVG Breakout/Breakdown indicator is designed to identify potential breakout and breakdown opportunities in the market, based on the concept of Fair Value Gaps (FVGs). FVGs are areas where price moves too quickly, leaving behind gaps between candlesticks, often seen as areas of inefficiency or imbalance that the market tends to revisit.
Key Concepts:
Fair Value Gaps (FVG):
FVG occurs when a price gap is created between candlesticks, typically when the high of one candle is lower than the low of the previous candle (for a bearish FVG) or the low of one candle is higher than the high of the previous candle (for a bullish FVG).
These gaps represent an imbalance between buying and selling pressure, and the market often revisits them, making them valuable for identifying potential entry points.
Bullish FVG: This occurs when the low of the current candle is higher than the high of the previous candle.
Condition: low > high
Bearish FVG: This occurs when the high of the current candle is lower than the low of the previous candle.
Condition: high < low
Breakout/Breakdown Signals:
Breakout: A bullish breakout signal occurs when the price breaks above a defined resistance level after an FVG gap. This suggests that the market may continue moving higher.
Breakdown: A bearish breakdown signal occurs when the price breaks below a defined support level after an FVG gap. This suggests that the market may continue moving lower.
NWOG (New Week Opening Gap):
The NWOG can be used as an additional factor to confirm the FVG signal. The gap between Friday's close and Monday's open is a crucial level for identifying the start of a new move for the week.
NWOG helps to further refine the timing of breakout or breakdown signals, only triggering them when price moves relative to the Monday Open and shows a new direction.
