Power Hour Trendlines [LuxAlgo]The Power Hour Trendlines indicator is based on Power Hours detection, and includes up to three displayed trendlines derived from the closing prices of all the bars within the last user-selected Power Hours.
Users can edit the time of Power Hours, choose how many sessions to take into account, enable or disable any trendlines, and change their colors.
🔶 USAGE
The Power Hour is defined as the last hour of the trading session and is set by default from 3:00 p.m. to 4:00 p.m. New York time. During this period, volume and volatility enter the market. Traders using higher timeframes may use this period to enter or exit positions by placing MOC (Market on Close) orders.
This tool works under the hypothesis that prices made during power hours (periods with high trading activity) are more relevant when used for the construction of trendlines.
An initial trendline is fit using linear regression; prices from power hours located above this initial fit are used for the upper trendline, while the ones below the fit are used for the lower one.
As with any trendline, traders can analyze the slope to determine the market's direction:
Positive slope: The market is trending up.
Negative slope: The market is trending down.
No slope: The market is trending sideways.
As we can see in the image, Nasdaq and Bitcoin are clearly in downtrends, gold is clearly in an uptrend, and the euro/U.S. dollar is in a sideways market over the last visible sessions.
As you can see, the trend lines may or may not be parallel to each other. The wider the area, the more volatile the data. The narrower the area, the less volatile the data. Let's look at an example.
In the image, the Dow30 and the euro/U.S. dollar have opposite behaviors. The volatility above the middle trendline is growing in the first case but shrinking in the second. In both cases, the volatility in the bottom area seems steady, so there are no big surprises there.
Traders can adjust the number of sessions for calculations, making the tool ideal for analyzing price behavior over different time frames.
As the image shows, we can clearly see how the market behaves over different time periods. XLY has been moving down over the last 10, 20, and 40 sessions, with a steeper decline over shorter periods. However, it has been moving sideways over the last 70 sessions.
One of the main uses of trendlines is to provide key support and resistance. In the image, SPY is shown with trendlines over the last 20 sessions. These lines provide excellent reference points for trading and observing price behavior in those areas, such as whether prices are accepted or rejected, which may trigger a response from other traders.
🔹 Not Allowed Timeframes
For obvious reasons, timeframes larger than 1H are not allowed. The Power Hour is defined as the last hour of the trading session. The tool will display a warning message if the timeframe is longer than 60 minutes.
🔶 SETTINGS
Power Hour (NY Time): Choose a custom Power Hour in New York time
Sessions Memory: Select how many Power Hours to take into account for calculations.
🔹 Style
Top: Enable or disable the top line and choose the line and background colors.
Middle: Enable or disable the middle line and choose the line color.
Bottom: Enable or disable the bottom line and choose the line and background colors.
Background: Enable or disable the background color for top and bottom lines.
Cicli
GLI Fed Plumbing Regime (v1.0)GLI Regime Index
Global Liquidity Intelligence for Risk Markets
The GLI Regime Index is a macro-liquidity regime engine that classifies the financial system based on where cash is actually flowing inside the Fed–Treasury plumbing.
Markets do not move on narratives.
They move on liquidity .
GLI measures that liquidity in real time by combining four institutional-grade signals:
• Fed Reverse Repo (RRP) – where excess cash is being parked
• 3-Month Treasury Bills – where short-term money prefers to earn yield
• IORB – the Federal Reserve’s policy floor
• SOFR – the true cost of funding in the system
By comparing these flows, GLI identifies which institution is currently in control of money:
Regime What It Means
FED DOMINANT Abundant reserves, liquidity flowing into risk assets
T-BILL DOMINANT Treasury absorbing liquidity, risk tightening
CASH GLUT Excess money trapped at the Fed (RRP high)
FUNDING STRESS Funding markets under pressure (SOFR > IORB)
NEUTRAL Transition state between regimes
Why this matters
Assets like NVDA, BTC, high-beta tech, and growth stocks don’t trade on earnings — they trade on marginal liquidity.
GLI tells you:
When rallies are supported by real money
When breakouts are likely to fail
When dips are being bought vs distributed
When risk is being quietly withdrawn
How to use it
Apply GLI to any chart.
When the background turns:
Green (Fed Dominant) → Risk assets are structurally supported
Orange (T-Bill Dominant) → Liquidity is draining from risk
Blue (Cash Glut) → Money is stuck at the Fed, rallies struggle
Red (Funding Stress) → Volatility and liquidation risk rise
The built-in Liquidity HUD shows:
RRP usage
Fed vs Treasury dominance
SOFR stress
Rate spreads in real time
No interpretation required.
What GLI is not
GLI is not a technical indicator.
It does not look at price, volume, or momentum .
It looks at the money behind the price .
That’s why it works.
Sawaes StrategyHere’s a **clear TradingView-style description** you can use directly in the indicator’s **Description** field or when sharing it publicly.
---
## 📈 Sawaes Strategy – Buy & Sell Signal (SuperTrend-Based)
### 🔹 Overview
**Sawaes Strategy** is a trend-following indicator based on a **custom SuperTrend calculation** using **ATR (Average True Range)**.
It is designed to identify **trend direction**, **dynamic support/resistance**, and provide **clear buy and sell signals** when price confirms a trend change.
The indicator plots a colored trailing line on the chart and generates visual arrows for entries, making it suitable for **intraday, swing, and positional trading**.
---
### 🔹 How It Works
1. **ATR Volatility Measurement**
* Uses ATR to measure market volatility.
* The ATR value is multiplied by a user-defined **Factor** to adapt to different markets and timeframes.
2. **Dynamic Trend Lines**
* A **SuperTrend trailing stop line** is calculated above or below price.
* The line moves only in the direction of the current trend, preventing whipsaws.
3. **Trend Direction**
* 🟢 **Green line** → Uptrend (Bullish)
* 🔴 **Red line** → Downtrend (Bearish)
4. **Trend Switching**
* Trend flips when price decisively crosses the trailing stop line.
* Entry arrows appear only on confirmed trend changes.
---
### 🔹 Buy & Sell Signals
#### 🟢 Buy Signal
* Price crosses **above** the SuperTrend line
* Price closes **above** the trailing stop
* Trend changes from **bearish to bullish**
* Displayed as:
* Green **triangle up**
* Green **arrow up** on trend reversal
#### 🔴 Sell Signal
* Price crosses **below** the SuperTrend line
* Price closes **below** the trailing stop
* Trend changes from **bullish to bearish**
* Displayed as:
* Red **triangle down**
* Red **arrow down** on trend reversal
---
### 🔹 Inputs
* **Factor**
Controls sensitivity.
* Higher value → fewer signals, stronger trends
* Lower value → more signals, faster reactions
* **ATR Period**
Defines how volatility is calculated.
---
### 🔹 Best Use Cases
✔ Trending markets
✔ Index, Forex, Crypto, Stocks
✔ Works on all timeframes
✔ Can be combined with:
* Volume confirmation
* RSI / MACD
* Support & Resistance
---
### 🔹 Risk Management Tips
* Use the SuperTrend line as a **dynamic stop-loss**
* Trail stops along the colored trend line
* Avoid choppy or sideways markets
* Confirm higher-timeframe trend for better accuracy
---
### 🔹 Alerts
The indicator includes:
* 📢 Buy alert
* 📢 Sell alert
These can be used for automation or mobile notifications.
---
If you want, I can:
* Rewrite this as a **short public TradingView description**
* Add **disclaimer text**
* Convert it into a **strategy with backtesting**
* Optimize parameters for **crypto / forex / indices**
Just tell me 👍
Laguerre RSI (Fractals Energy) [v6]This write-up explores the **Laguerre RSI (LRSI)**, a sophisticated technical indicator pioneered by **John F. Ehlers**. Unlike the standard RSI, which often suffers from "lag" or excessive noise, the Laguerre RSI uses a four-pole filter to provide a smoother, more responsive curve that stays in overbought or oversold zones longer during strong trends.
The following analysis focuses on the interplay between the **Alpha (Gamma)** and the **Gamma Bandwidth**, specifically looking for "Alpha Exceeding" events to identify market coiling and exhaustion.
---
## 1. The Core Concept: Ehlers’ Laguerre Transform
Traditional indicators use a fixed look-back period (e.g., 14 periods). John Ehlers introduced the Laguerre Transform to allow for a more efficient way of filtering data using a very small amount of data.
In the provided code, the key variable is **Alpha** (derived from **Fractals Energy/Gamma**). This value determines the "speed" of the indicator.
* **Low Alpha:** High damping, smoother but slower.
* **High Alpha:** Low damping, faster and more reactive.
---
## 2. The Gamma Bandwidth: Coiling and Energy
The "Gamma Band" (the purple shaded area in your script, typically between and ) represents the "neutral" zone for market fractal energy.
### Market Coiling (Compression)
When the **Alpha (Gamma) line** climbs **above the Gamma Upper Bound** (e.g., ):
* This indicates the market is moving into a state of **high fractal efficiency** or "straight-line" movement.
* However, when Alpha is pinned high, it often signals **Coiling**. The market is burning through its energy efficiently, but it is reaching a state of "ordered" exhaustion.
* **The Interpretation:** The price is trending strongly, but the lack of "chaos" suggests a trend maturity is approaching.
### Alpha Exceeding the Bands (Exhaustion)
When the Alpha line spikes significantly outside the bands while the LRSI line (blue or pink) is pinned at the extremes (1.0 or 0.0), we observe **Exhaustion**.
* **Bullish Exhaustion:** LRSI is (Blue) and Alpha exceeds the upper band. The trend is so efficient that it has no room left to accelerate. A "reversion to the mean" or a period of "choppiness" (increasing fractal chaos) is likely.
* **Bearish Exhaustion:** LRSI is (Pink) and Alpha exceeds the upper band. This shows a vertical drop that is unsustainable in the long term.
---
## 3. Signal Mechanics: The "Hook"
The most potent signal occurs when the Alpha line begins to **descend back into the Gamma Bandwidth** while the LRSI line crosses the OB/OS levels.
| Signal Component | Market Condition | Actionable Insight |
| --- | --- | --- |
| **Alpha > 0.59** | High Efficiency / Coiling | Trend is strong, but watch for the "bend." |
| **Alpha < 0.41** | High Complexity / Choppiness | Market is trendless; energy is being stored for the next move. |
| **LRSI Cross < 0.8** | Bearish Reversal | Trend exhaustion confirmed; exit longs or enter shorts. |
| **LRSI Cross > 0.2** | Bullish Reversal | Mean reversion confirmed; exit shorts or enter longs. |
---
## 4. Summary of the Methodology
By integrating **Fractals Energy** (Gamma) directly into the Alpha of the Laguerre RSI, this version of Ehlers’ work allows the indicator to adapt its own speed based on the market’s complexity.
When Alpha exceeds the bands, it is a warning that the "clean" move is coming to an end. The market is "coiled" tight; the subsequent break back into the purple band signifies that the trend has lost its linear efficiency and is returning to a state of chaos—often resulting in a price reversal or significant consolidation.
> **Credit:** All mathematical foundations of the Laguerre Transform and the RSI implementation are credited to **John F. Ehlers**.
---
Would you like me to create a visual guide or table specifically for the **Fractal Energy** values and how they correlate to specific market phases?
Infinity Signal Momentum ConsensusMulti-Timeframe Momentum Fusion & Projection
Infinity Signal — Momentum Consensus is a multi-timeframe momentum oscillator designed to identify early turning points, directional bias, and momentum structure by blending momentum data across multiple timeframes into a single, unified signal.
Instead of relying on a traditional single-timeframe Stochastic RSI, this indicator creates a consensus momentum curve that reflects how short-, medium-, and long-term momentum align in real time.
The result is a smoother, more stable oscillator that often turns before price and before standard momentum indicators react.
This approach reduces noise while preserving the geometric structure required for forward projection and swing analysis.
🔍 How It Works
The indicator computes Stochastic RSI momentum across multiple timeframes (1H, 4H, 1D, 1W, 1M), normalizes those values, and combines them into a single composite curve.
Each timeframe contributes differently:
Higher timeframes shape overall curvature and bias
Mid timeframes influence impulse strength
Lower timeframes refine timing
When averaged together, these form a momentum consensus that highlights genuine shifts in market behavior.
The indicator also includes:
A forward momentum projection based on prior curvature
A multi-timeframe alignment table with weighted bias and grading
Visual context for overbought, oversold, and transitional states
🧭 How to Use
1️⃣ Identify Directional Bias
Use the Composite Momentum Curve to determine the dominant market bias.
Rising curve → bullish momentum pressure
Falling curve → bearish momentum pressure
Flattening or compressing curve → consolidation or transition
Because the curve blends multiple timeframes, its direction is often more reliable than single-TF oscillators.
2️⃣ Watch for Early Turning Points
Key signals occur when the composite curve bends, flattens, or crosses.
Momentum turns frequently appear before price reversals
Signals near overbought or oversold zones carry greater significance
The smoother curve helps reduce whipsaw
These inflection points are particularly useful for swing and position traders.
3️⃣ Use the Multi-Timeframe Table for Confirmation
The table summarizes momentum alignment across all tracked timeframes.
Bull / Bear / Mixed shows agreement or divergence
Weighted scores reveal which timeframes dominate
Signal grades (A+ → F) reflect alignment quality
The strongest setups occur when table bias and momentum direction agree.
4️⃣ Interpret Projections as Context
Projected momentum paths visualize how momentum may evolve based on prior structure.
Use projections as guidance, not guarantees
Look for symmetry, slope changes, and recurring curvature
Combine projections with structure or support/resistance
Projections are most effective in stable momentum regimes.
5️⃣ Combine with Price Action & Risk Management
Infinity Signal — Momentum Consensus is designed as a decision-support tool.
Confirm signals with market structure and price behavior
Use clear invalidation levels and risk controls
Reduce exposure during mixed or low-alignment conditions
No indicator replaces proper risk management.
🎯 Ideal Use Cases
Swing trading & position trading
Momentum-based trend analysis
Early reversal and pivot detection
Multi-timeframe confirmation
⚠️ Disclaimer
This indicator is for educational and analytical purposes only and does not constitute financial advice. Always manage risk appropriately.
Whale Tracker Pro Tomgoodcar v1 Cycle, Strategy (Action), Highlighted Status (according to code), How to use in trading:
1. Accumulation: Start accumulating, when a BUY signal occurs (s1 is true), enter a buy position according to the signal. This is the point where large players start quietly accumulating.
4. Mark Up, Uptrend: Run profit, when the price is above the MA50 (s4 is true) but there are no new buy/sell signals, hold and continue to run profit. The market has confirmed the uptrend.
6. Distribution, Selling off: Partial selling, when a SELL signal occurs (s6 is true), sell to take profit. This is the point where large players are releasing their holdings into the market.
"5, 7, 9, 10...", others, not highlighted according to this code," are used as a context to understand which stage the market is in during the cycle (e.g., about to end an uptrend, or entering a downtrend)."
List, Calculation, Interpretation, and Usage
Buy Price: low_20 (lowest point in the last 20 bars), used as a key support level or the best entry point (Buy Zone) if the price retraces.
Sell Target: high_20 (highest point in the last 20 bars), used as a key resistance level or profit-taking target (Take Profit Zone).
CycleForecasterCycleForecaster is a sophisticated multi-oscillator confluence indicator designed to identify market cycles and potential reversal zones through the combination of five powerful technical oscillators. This indicator has been carefully enhanced for TradingView with modern visual aesthetics and additional features.
⚡ Key Features
🎯 Multi-Oscillator Confluence Engine
Combines RSI, Fisher Transform, CCI, MACD, and Stochastic oscillators
Normalizes all oscillators to a unified scale for accurate comparison
Weighted composite calculation for balanced signal generation
🔄 Adaptive Cycle Detection
Automatically identifies cycle peaks and troughs
Tracks and learns from historical cycle lengths
Forecasts expected future cycle turning points
Dynamic percentile-based threshold calculation
📊 Confluence Scoring System
Counts bullish/bearish signals across all oscillators
Configurable confluence threshold (default: 3/5 oscillators must agree)
Filters noise by requiring multi-indicator confirmation
🎨 Premium Visual Design
5 built-in color themes: Neon, Classic, Ocean, Sunset, Matrix
Gradient fills for intuitive overbought/oversold visualization
Momentum histogram for acceleration/deceleration analysis
Professional real-time information panel
📈 How It Works
Oscillator Normalization: Each oscillator is normalized to a -1 to +1 scale, allowing for direct comparison and combination.
Composite Calculation: A weighted average of all normalized oscillators creates a single composite line that represents the overall market cycle position.
Cycle Detection: The indicator identifies peaks and troughs using configurable thresholds, either through automatic percentile calculation or manual settings.
Forecasting: Based on detected cycles, the indicator calculates average cycle length and projects expected future turning points.
Confluence Confirmation: Signal strength is validated by counting how many individual oscillators agree with the overall reading.
GLI Regime Index (v1.0)GLI Regime Index
Global Liquidity Intelligence for Risk Markets
The GLI Regime Index is a macro-liquidity regime engine that classifies the financial system based on where cash is actually flowing inside the Fed–Treasury plumbing.
Markets do not move on narratives.
They move on liquidity.
GLI measures that liquidity in real time by combining four institutional-grade signals:
• Fed Reverse Repo (RRP) – where excess cash is being parked
• 3-Month Treasury Bills – where short-term money prefers to earn yield
• IORB – the Federal Reserve’s policy floor
• SOFR – the true cost of funding in the system
By comparing these flows, GLI identifies which institution is currently in control of money:
Regime What It Means
FED DOMINANT Abundant reserves, liquidity flowing into risk assets
T-BILL DOMINANT Treasury absorbing liquidity, risk tightening
CASH GLUT Excess money trapped at the Fed (RRP high)
FUNDING STRESS Funding markets under pressure (SOFR > IORB)
NEUTRAL Transition state between regimes
These regimes are not opinions — they are the mechanical state of the dollar system.
Why this matters
Assets like NVDA, BTC, high-beta tech, and growth stocks don’t trade on earnings — they trade on marginal liquidity.
GLI tells you:
When rallies are supported by real money
When breakouts are likely to fail
When dips are being bought vs distributed
When risk is being quietly withdrawn
If you’ve ever wondered why price seems to hit invisible walls,
GLI shows you where those walls come from.
How to use it
Apply GLI to any chart.
When the background turns:
Green (Fed Dominant) → Risk assets are structurally supported
Orange (T-Bill Dominant) → Liquidity is draining from risk
Blue (Cash Glut) → Money is stuck at the Fed, rallies struggle
Red (Funding Stress) → Volatility and liquidation risk rise
The built-in Liquidity HUD shows:
RRP usage
Fed vs Treasury dominance
SOFR stress
Rate spreads in real time
No interpretation required.
What GLI is not
GLI is not a technical indicator.
It does not look at price, volume, or momentum.
It looks at the money behind the price.
That’s why it works.
ADIBABA - 4x EMAThis indicator is based on the Exponential Moving Average (EMA) and is designed to help traders identify trend direction, momentum, and price structure with clarity.
The script provides fully customizable EMA length along with an optional Smoothing EMA (SMS), allowing traders to fine-tune the indicator according to their trading style and market conditions.
It is suitable for intraday, swing, and positional traders and works well across multiple asset classes.
How It Works
• The primary EMA follows price movement and defines the trend
• The smoothing EMA reduces market noise and improves signal quality
• Price above EMA indicates a bullish bias
• Price below EMA indicates a bearish bias
This combination helps filter false signals and provides stronger trend confirmation.
SMI + Trend Whale Tracker//@version=6
// Fixed Line 1: Explicitly naming the title and shorttitle
indicator(title="SMI + Trend Whale Tracker", shorttitle="SMI_Whale", overlay=true)
// --- Inputs ---
lenK = input.int(10, "%K Length", group="SMI Settings")
lenD = input.int(3, "%D Length", group="SMI Settings")
lenEMA = input.int(3, "EMA Length", group="SMI Settings")
volMult = input.float(3.0, "Whale Volume Multiplier (x Avg)", group="Whale Settings")
trendLen = input.int(200, "Global Trend SMA Length", group="Trend Settings")
// --- Calculations: SMI ---
emaEma(src, len) => ta.ema(ta.ema(src, len), len)
hi = ta.highest(lenK), lo = ta.lowest(lenK)
relRange = close - (hi + lo) / 2
smi = (hi - lo) != 0 ? 200 * (emaEma(relRange, lenD) / emaEma(hi - lo, lenD)) : 0
// --- Calculations: Global Trend ---
sma200 = ta.sma(close, trendLen)
isBullishTrend = close > sma200
plot(sma200, "200 SMA", color=color.new(color.blue, 50), linewidth=2)
// --- Calculations: Whale Tracker with Filter ---
avgVol = ta.sma(volume, 20)
isWhaleVol = volume > (avgVol * volMult)
// Filter: Whale must buy while price is above the 200 SMA
isWhaleBuy = isWhaleVol and close > open and isBullishTrend
isWhaleSell = isWhaleVol and close < open
// --- Visuals ---
plotshape(isWhaleBuy, style=shape.triangleup, location=location.belowbar, color=color.green, size=size.small, title="Whale Buy")
plotshape(isWhaleSell, style=shape.triangledown, location=location.abovebar, color=color.red, size=size.small, title="Whale Sell")
// --- Dashboard ---
var table dash = table.new(position.top_right, 2, 3, bgcolor=color.new(color.black, 0), border_width=1)
if barstate.islast
smiColor = smi > 40 ? color.green : (smi < -40 ? color.red : color.gray)
trendColor = isBullishTrend ? color.green : color.red
table.cell(dash, 0, 0, text="SMI", text_color=color.white)
table.cell(dash, 1, 0, text=str.tostring(smi, "#.#"), bgcolor=smiColor, text_color=color.white)
table.cell(dash, 0, 1, text="Trend", text_color=color.white)
table.cell(dash, 1, 1, text=isBullishTrend ? "BULLISH" : "BEARISH", bgcolor=trendColor, text_color=color.white)
table.cell(dash, 0, 2, text="Whale", text_color=color.white)
table.cell(dash, 1, 2, text=isWhaleVol ? "ACTIVE" : "None", bgcolor=isWhaleVol ? color.purple : color.gray, text_color=color.white)
// --- Alerts ---
if isWhaleBuy
alert("Whale Buy + Trend Aligned: " + syminfo.ticker, alert.freq_once_per_bar_close)
DTS Momentum Dot Plot (MACD / STOCH / RSI)This comes from Treyding Stocks Famous Dot Plot, but for think or swim. When the green and red dots align, then it is a good opportunity for a buy or sell. It is the MACD, MACD Histogram, Fast Stochastic, the slow stochastic and the RSI, t
You can also add alerts when all lines turn green or red!
Enjoy!
Vertical line at 6PMVertical line deliniated every 6pm for the asian session trading and backtesting.
ICT Quarterly Theory - Micro Sessionshis indicator visualizes the ICT Quarterly Theory time-based framework, breaking down the Asian session (Q1) into four 90-minute micro-sessions based on New York time.
⏰ Time Windows:
Q1.1 → 00:00 - 01:30 NY
Q1.2 → 01:30 - 03:00 NY
Q1.3 → 03:00 - 04:30 NY
Q1.4 → 04:30 - 06:00 NY
Stochastic RSI 1 MonthThis is the standard SRSI indicator set to 1 month so I can see have multiple timeframes on the same chart which helps with seeing momentum swings.
Hotjaem SignalBuy and Sell signals based on MACD, RSI, and Moving Averages.
Displays Golden Cross and Dead Cross for 5 and 20 Moving Averages.
Updates in progress.
MindEdge 2-7am (utc +1)This indicator highlights the 2-7am time for me to trade the opposite direction of a m15 sweep
EXPANSION MODELTrading algo has been optimized to pin point key areas in the market where large order reside.
Works best with XXXUSD pairs as a trend following model.
byquan RSI Divergence (OB/OS + RSI MA Base)byquan RSI Divergence (OB/OS + RSI MA Base)
Description
byquan RSI Divergence is a technical analysis indicator designed to visualize RSI-based divergence patterns within clearly defined overbought and oversold zones, enhanced with an optional RSI moving average baseline.
The script focuses on structural divergence detection rather than signal prediction, providing visual reference points to help users study momentum behavior and price–oscillator relationships.
This indicator is intended for educational and analytical purposes only.
Conceptual Overview
The core idea of this indicator is based on a widely accepted technical principle:
When price structure and momentum structure diverge, market behavior may be transitioning rather than continuing impulsively.
Instead of reacting to every fluctuation, this script identifies well-defined divergence formations that occur:
At RSI pivot points
Within controlled lookback ranges
Inside overbought or oversold zones
Indicator Components
1. RSI Oscillator
The indicator uses a standard Relative Strength Index (RSI):
User-defined period
User-defined source price
RSI values are plotted directly in the pane for transparency and clarity.
2. RSI Base Moving Average
An optional RSI baseline is calculated using a selectable moving average type:
SMA
EMA
RMA
WMA
This baseline is intended to provide additional context for momentum direction and smoothing, not as a signal trigger.
3. Overbought / Oversold Zones
Customizable horizontal levels define:
Overbought conditions
Oversold conditions
Divergences are evaluated only when RSI is located inside the corresponding zone, helping reduce irrelevant signals.
4. Pivot-Based Divergence Detection
The script detects RSI pivot highs and lows using configurable left/right lookback values.
Based on these pivots, it evaluates four divergence types:
Regular Bullish Divergence
Hidden Bullish Divergence
Regular Bearish Divergence
Hidden Bearish Divergence
Each divergence type is plotted independently and can be enabled or disabled by the user.
5. Lookback Range Control
To avoid excessive or outdated comparisons, divergence evaluation is constrained within a user-defined bar range.
This helps ensure that only structurally relevant divergences are displayed.
Visualization
Divergence lines are plotted directly on the RSI pane
Labels are used to distinguish divergence types
Regular and hidden divergences are visually differentiated using color transparency
The indicator prioritizes clarity and interpretability over signal density.
Alert Logic
An alert condition is provided when any divergence type is detected.
Alerts are informational and do not imply direction, timing, or outcome.
Intended Use
This indicator is designed to be used as:
A momentum structure study tool
A visual divergence reference
A supporting component within broader technical analysis
It is not intended to:
Predict market tops or bottoms
Serve as a standalone trading system
Provide financial or investment advice
Technical Notes
The script uses pivot-based confirmation and therefore does not repaint
All calculations are deterministic and rule-based
Divergences are identified only after pivots are confirmed
Results may vary across assets and timeframes
Attribution & Transparency
This script represents a custom implementation and adaptation of commonly documented RSI divergence techniques, including:
Pivot-based divergence logic
Overbought / oversold filtering
RSI smoothing via moving averages
These concepts are widely used in technical analysis.
The specific parameterization, visualization, and filtering structure reflect a personal analytical approach, without claiming exclusivity over the underlying methods.
Disclaimer
This indicator is provided for educational and analytical purposes only.
It does not constitute financial advice, trading recommendations, or performance guarantees.
Past behavior does not imply future results.
TrendGo Accumulate: Market Context Before DecisionsTrendGo Accumulate highlights areas where price behavior suggests early accumulation - before momentum and direction become obvious .
Instead of chasing moves, Accumulate helps you understand where the market is in its process .
By tracking price behavior relative to a dynamic, anchored average that adapts to new market lows, Accumulate identifies zones where markets historically pause, stabilize, and prepare - not signals, but context .
As seen on higher timeframes, Accumulate often stays silent during trends and activates only when risk compresses.
⸻
What Accumulate gives you
• Identifies accumulation zones that often precede structural transitions
• Automatically adapts to new market lows - no settings, no optimization
• Works across all assets and timeframes, even without volume data
• Filters short-term noise to highlight meaningful price behavior
⸻
Accumulate doesn’t tell you what to trade .
It shows you where you are .
Accumulate finds the zone.
The system decides the trade.
MACD of SDA Financial Liquidity Index (Weekly)Skylark Digital Assets — Weekly Financial Liquidity Index (FLI) MACD
This indicator applies a MACD directly to Skylark Digital Assets’ Weekly Financial Liquidity Index (FLI) — a proprietary global liquidity synthesis derived from major equity indices, crypto benchmarks, interest rate proxies, FX liquidity pressure, and global risk aggregates.
Instead of measuring price momentum like a normal MACD, this tool measures momentum in financial liquidity conditions. That makes it particularly useful as a macro timing and regime tool, helping to identify when:
Liquidity momentum is accelerating (bullish macro tailwinds)
Liquidity momentum is decelerating (risk conditions tightening)
Liquidity impulse is peaking / rolling over (cycle transition risk)
What this is useful for
Anticipating medium–long term macro risk cycles
Enhancing crypto / equity trend conviction
Identifying regime shifts ahead of price
Complementing liquidity-based framework analysis
Notes
This indicator does not measure price. It measures liquidity conditions.
Default MACD settings are configurable to suit different macro horizons.
Works best on weekly timeframe, aligned with the underlying dataset (works pretty good on the monthly too).
ICT FVG Refinement + Williams Fractal BOS/MSSA precision-engineered tool for ICT and SMC traders that automates Fair Value Gap detection and Market Structure analysis. Featuring a unique Dynamic Refinement engine, this indicator real-time adjusts FVG zones as they are filled, leaving only the "True Imbalance" visible for high-probability entries.
Key Features:
1. Dynamic FVG Refinement (True Imbalance)
Unlike standard FVG scripts that display static boxes, this indicator trims the FVG zones as price action (wicks) enters the gap.
Bullish FVG: Shrinks from the top down as it is mitigated.
Bearish FVG: Shrinks from the bottom up as it is mitigated.
Auto-Cleanup: Zones are automatically deleted once fully closed, ensuring your chart only shows fresh, unmitigated liquidity gaps.
2. Smart Market Structure (Fractal-Based)
Utilizes the Williams Fractal algorithm to identify objective swing points, reducing "market noise."
MSS (Market Structure Shift): Automatically triggers when price reverses against the current trend. Labeled in high-contrast colors (Blue/Red) to signal potential reversals.
BOS (Break of Structure): Triggers when the trend continues, confirming market strength.
Centered Labels: Structure lines are drawn from the swing point to the break point, with "BOS/MSS" text perfectly centered on the line for a professional aesthetic.
3. Institutional Liquidity Levels
Automated plotting of high-tier liquidity levels:
PDH / PDL: Previous Daily High & Low.
PWH / PWL: Previous Weekly High & Low.
Clean View: Levels are projected from the current bar forward, preventing historical line clutter.
4. Performance Optimized
Zone Limiter: Users can set a maximum number of active FVG zones to keep the chart performant and focused on the most recent data.
Visual Control: Fully customizable colors for zones, text, and structure lines (Solid/Dashed/Dotted).
How to Trade with ICT NexGen:
Trend Direction: Follow BOS labels for trend continuation and watch for MSS for early reversal warnings.
Execution: Use the Refined FVG zones as your "Point of Interest" (POI). The remaining uncolored space within a gap often acts as a precise "magnetic" level for price.
Liquidity Targets: Use PDH/PDL and PWH/PWL as your primary Take Profit targets or as zones to anticipate a "Stop Run" or "Liquidity Sweep."






















