Custom Hour Candle Marker (EST, All Timeframes)hour candle marker on the hourly to see the candle you want to focus on
指标和策略
Quantum Trend Flow (QTF) - Jonathan Mwendwa NdungeQuantum Trend Flow (QTF)
Author: Jonathan Mwendwa Ndunge
Description:
Quantum Trend Flow (QTF) is a cutting-edge, institutional-grade trend analysis and execution indicator designed for day trading and short-term swing strategies. It leverages multi-timeframe trend analysis, probabilistic scoring, liquidity sweep detection, CHOCH (Change of Character), and Order Block confirmation to provide high-confidence trading opportunities.
Key Features:
Multi-Timeframe Trend Scoring:
Tracks 3 Donchian channels across HTF (4H), MTF (1H), and LTF (15M) to compute a trend probability score.
Scores the market bias dynamically for both bullish and bearish conditions.
Probability Ribbon:
Displays a gradient ribbon representing the likelihood of bullish vs bearish dominance (0–100%).
Green = bullish probability, Red = bearish probability, Yellow = neutral.
Smart Money Concept Validation:
Integrates CHOCH to identify genuine shifts in market structure.
Confirms entries using Order Blocks and Liquidity Sweeps, reflecting probable institutional activity.
Execution Logic:
Only triggers trades when probability exceeds the configurable threshold and all structural conditions align.
Labels on the chart indicate high-confidence bullish or bearish opportunities.
Dashboard Overview:
Summarizes HTF, MTF, and LTF trend scores along with execution readiness for quick decision-making.
Why QTF is Hedge-Fund Level:
Combines probabilistic trend scoring with smart money concepts for precision entries.
Fully non-repainting and deterministic for live and historical analysis.
Filters noise and highlights high-probability zones where institutional orders are likely to occur.
Multi-layered validation ensures trades are aligned with market structure, liquidity, and trend momentum.
Use Case:
Ideal for day traders and short-term swing traders who want a systematic, high-probability, institutional-style edge.
Can be combined with risk-to-reward strategies (e.g., RR 1:2) and proper money management.
SMART TRADER Institutional Trend Engine ITESMART TRADER – Institutional Trend Engine (ITE)
Author: Jonathan Mwendwa Ndunge
Description:
The SMART TRADER Institutional Trend Engine (ITE) is a hedge-fund-grade trading indicator designed to identify high-probability trend continuation and reversal opportunities using Smart Money Concepts. It combines multi-timeframe Donchian Channel trend analysis, Change of Character (CHOCH) detection, Order Block (OB) validation, and Liquidity Sweep detection to filter only the most reliable market conditions.
Key Features:
Multi-Timeframe Trend Alignment:
HTF (2H) determines the overall market regime.
MTF (1H) confirms alignment across three Donchian channel periods (fast, medium, slow) to ensure structural consistency.
Refined CHOCH Logic:
Detects genuine shifts in market structure using recent swing highs and lows.
Bullish or bearish CHOCH is only confirmed when HTF and MTF trends align, reducing false signals.
Order Block Confirmation:
Validates institutional supply and demand zones before execution.
Detects bullish and bearish order blocks using historical lows/highs in open prices.
Liquidity Sweep Validation:
Identifies liquidity sweeps beyond recent highs or lows, ensuring entry in areas where institutions likely trigger orders.
Execution-Level Discipline:
Signals only trigger when all conditions are met: trend alignment, CHOCH, order block, and liquidity sweep.
Visual labels mark bullish and bearish execution zones directly on the chart.
Dashboard Overview:
Displays HTF regime, 1H alignment, and execution status for quick decision-making.
Use Case:
Ideal for day trading and short-term swing trading.
Works best when combined with proper risk-to-reward management (e.g., 1:2 RR).
Designed to reduce noise and enhance the probability of success by replicating institutional-style trade execution.
ATR + ADX Expansion This script plots in real time a shorter period ATR compared to a longer period ATR allowing one to see if the market has above or below average volatility. This helps avoid choppy sideways markets.
Secondly, the table shows whether ADX is expanding above its signal line, or contracting below it's signal line further identifying a market in expansion or contraction.
Any set up must be deployed in a healthy market environment, this indicator measures core statistics in real time to allow you see at a glance what state the market is in.
Triple VWAP (RTH Anchored + 1D/2D Rolling) w/ Z-ScoreRolling & Anchored VWAP Hybrid
Description:
This indicator is designed for intraday traders (Futures, Crypto, Equities) who need to quickly identify market regimes by comparing session-specific value against multi-day rolling value.
Traditional VWAP indicators force you to choose between "Anchored" (RTH) or "Rolling" (24h). This script combines both into a single hybrid tool, allowing you to spot trend days, mean reversion opportunities, and "fair value" dislocations instantly.
Key Features:
1. Hybrid VWAP Engine
RTH Anchored VWAP (Orange): Anchors automatically at the session open (default 09:30 NY). This represents the "true" institutional fair value for the current active session, ignoring overnight noise.
1-Day Rolling VWAP (Blue): A continuous 24-hour rolling window. This represents the short-term memory of the market (overnight + RTH).
2-Day Rolling VWAP (Purple): A continuous 48-hour rolling window. This acts as a slower, higher-timeframe support/resistance level.
2. Market Regime Identification
By observing the relationship between these three lines, you can instantly define the regime:
Bull Trend: Price > RTH VWAP > 1D VWAP > 2D VWAP.
Bear Trend: Price < RTH VWAP < 1D VWAP < 2D VWAP.
Expansion: When RTH VWAP breaks away from the 1D/2D Rolling VWAPs.
Compression/Chop: When all three lines are flat and entangled.
3. Integrated Z-Score Matrix (Table)
A built-in heatmap table displays the real-time Z-Score (standard deviation distance) of the current price relative to the 1-Day and 2-Day Rolling VWAPs.
How to use:
High Z-Score (> 2.0): Price is statistically extended (expensive). Look for mean reversion or exhaustion.
Low Z-Score (< -2.0): Price is statistically cheap. Look for bounces.
Zero (0.0): Price is at equilibrium (Fair Value).
Settings & Customization:
Session Time: Fully customizable RTH session (default 09:30-16:00) and Timezone.
Bands: Optional standard deviation bands for the RTH VWAP to visualize volatility.
Alerts: Built-in alert conditions for Price crossing any VWAP and for VWAP crossovers (Golden/Death crosses of value).
Impulse Trend ArrowsThis indicator is a volatility-normalized momentum + trend state tool designed to provide a clean “market regime” read: UP / DOWN / NEUTRAL, with optional visual confirmation on the chart. Works on collection of clasic indicators and some simple math.
⚙️ How it works (logic)
1) Adaptive baseline
The core reference line is an EMA(basisLen) acting as a dynamic equilibrium price. You can treat this setting as a sensitivity for entire thing.
2) ATR volatility envelope
An ATR channel is built around the baseline:
Upper Band = EMA + (ATR × multiplier)
Lower Band = EMA − (ATR × multiplier)
This scales signals to current volatility (tight markets vs. fast markets).
3) “Impulse” detection
Bull impulse when price is above both the baseline and the upper ATR band.
Bear impulse when price is below both the baseline and the lower ATR band.
4) Momentum confirmation (filters)
Signals are confirmed only when momentum agrees:
RSI must be on the correct side of 50
MACD Histogram must match direction (positive for bullish / negative for bearish)
So a signal requires price expansion (ATR breakout) + momentum agreement (RSI + MACD).
🧭 Trend state behavior
When a new BUY/SELL impulse is confirmed, the script updates a persistent trend state (“BUY”, “SELL”, or “NONE”).
That state stays active until the opposite confirmed impulse appears.
✅ Visuals & Usage
Made some minor, mostly visual upgrades on this release:
Baseline + ATR bands are smoothed for cleaner visuals.
Optional BUY/SELL arrows are plotted outside the channel to avoid overlap with channel.
Optional full-chart background shading reflects the current trend state:
Green = UPTREND
Red = DOWNTREND
A minimal top panel shows the current regime (UP / DOWN / NEUTRAL).
I also recently added this channel smoother parameter (for Dragon Channel), if you want it to have less spikes on those MAs just use the bigger number, I picked 8 for default.
Actualy its as simple as just follow the arrows direction, given the correct settings with slightly higher basisLen on higher TFs you can get prety accurate long shots. Ofcourse you can still can get random signals or noise on lower TFs, so it can be used as a background trend/momentum confirmation layer alongside your other favorite indicators or strategy tools.
Supertrend Breakout Boxes• ⭐ Built using original Supertrend logic to detect tradable breakouts.
• ⚙️ SuperTrend Breakout Pine v6 — built for XAUUSD precision, and equally lethal on Forex + Crypto.
• 📦 Shift Zones boxed consolidation after reversals = clean, tradable structure no noise.
• 📈 BUY STOP ▲ auto-plotted above bullish zones for breakout entries — no guesswork, just levels.
• 📉 SELL STOP ▼ auto-plotted below bearish zones for breakdown plays — instant clarity.
• 🧠 Adaptive spacing uses zone range % so stops scale with volatility perfect for Gold’s swings.
• 🧭 Projection lines extend forward so you can plan the trade before price arrives.
• 🟩🟪 Dual color system + BULL/BEAR labels = zero interpretation lag when trend flips.
• 🧼 Box-only display keeps charts clean: zones + stops = actionable, minimal, fast decisions.
• ⭐ Apply to your M30/H1/H4 TradingView chart — your breakout roadmap for Gold, FX, Crypto.
• 🚀 Make it your default overlay: spot consolidation → place stops → ride the expansion move.
• 📦 Enable/Disable BUY/SELL breakouts. For Gold you can use BUY only breakouts.
• 📦 Too many boxes on chart? Increase your ART multiplier from settings.
• ⭐ How to trade this? Enter in the direction of breakout.
NQ M30
GBPUSD M30
BTCUSD H1
UKOIL H1
Moving Averages - High_Low & Close/ Written by Love Sharma, CMT, CFTe , the concept is to identify when the moving average is rising and that too of highs and lows
//since there are various ways to generate signal from moving average but the high or low of MA has much weight of evidence as we are using the slope
One can just use the slope, or close above/below MA
//THE IDEA IS SIMPLE TO REMAIN RIGHT SIDE OF THE TREND
MTF EMA BB Wick Dominance Marks TableMTF EMA + BB(1/2/3σ) + Wick Dominance Marks + Table
“A multi-timeframe EMA indicator with Bollinger Bands (±1σ/±2σ/±3σ), wick-dominance signal markers, and an on-chart summary table.”
AOC Pro - Elite Audited Suite (V6.6)this is one of best indicator for indan market based on option chain volume support and resistance for best result one can follow
All in One Trend Indicator by Nicks**Multi-Factor Confluence Suite (7-in-1 Overlay)**
### **Description:**
**Overview**
This script is a comprehensive workspace optimizer designed to combine 7 essential trading tools into a single, efficient overlay. By merging trend analysis, market structure, liquidity zones, and momentum signals, this tool allows traders to bypass the standard indicator limit and view high-probability confluence setups without a cluttered chart.
**Key Features & Functionality**
* **Trend Filtering (Hull Suite):**
* A lag-reduced moving average system that visualizes the macro trend.
* Includes candle coloring options to easily identify trend alignment.
* **Market Structure (SMC):**
* Automatically maps Break of Structure (BOS) and Change of Character (CHoCH).
* Identifies Order Blocks and Fair Value Gaps (FVG) for potential entry/exit zones.
* **Liquidity Analysis:**
* **Swings:** Highlights key swing highs and lows where stop losses typically reside.
* **Grabs:** Specifically detects "stop hunts" where price wicks liquidity before reversing (Bubbles visualization).
* **Momentum Signals (UT Bot & MACD):**
* **UT Bot:** Provides high-sensitivity Buy/Sell labels based on ATR trailing stops.
* **MACD Overlay:** Plots signal crossovers directly on the price chart (arrows) to identify momentum shifts without occupying a separate oscillator pane.
* **Session Timing:**
* Visualizes major trading sessions (NY, London, Tokyo, Sydney) with an optional dashboard table.
**How to Use**
This suite is designed for "Confluence Trading."
1. **Identify Trend:** Use the Hull Suite color to determine the directional bias.
2. **Find Structure:** Wait for price to react at an SMC Order Block or Liquidity Zone.
3. **Confirm Entry:** Look for a UT Bot label or MACD Arrow in the direction of the trend.
**Settings**
Each module is separated by headers in the settings menu. You can toggle specific indicators on/off to suit your trading style and keep the chart clean.
**Credits & Attribution**
This script is a compilation of open-source logic from the TradingView community, adapted and updated to Pine Script v5/v6 for compatibility. Special thanks to the original authors for their foundational work:
* *InSilico* (Hull Logic)
* *LuxAlgo* (SMC & Liquidity Swings Logic)
* *Flux Charts* (Liquidity Grabs Logic)
* *QuantNomad* (UT Bot Logic)
* *TraderHariKrishna* (Session Logic)
**License**
This source code is subject to the terms of the Mozilla Public License 2.0 and/or Creative Commons (CC BY-NC-SA 4.0) where applicable by the original authors. This script is intended for educational and personal use.
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OF CVD Divergence Labels (Lite) by TheActualSnailCVD Divergence (Order Flow Proxy) — Lite
This indicator highlights price vs Cumulative Volume Delta (CVD) divergences directly on the price chart, using a lower-timeframe intrabar volume approximation and optional Open Interest (OI) confirmation.
It is designed to catch potential exhaustion, absorption, and early trend shifts, without cluttering the chart with extra panes or lines.
How it works
1️⃣ Intrabar Delta (Order Flow Proxy)
Volume is decomposed on a lower timeframe (e.g. 30s, 1m).
Each intrabar candle contributes volume to buying or selling pressure based on price movement.
This produces a delta (buy − sell volume).
Delta is accumulated into CVD, optionally reset on a higher timeframe (Daily / Weekly / Monthly).
This is not exchange-level footprint data — it’s a robust proxy that works on any TradingView symbol.
2️⃣ Pivot-Based Divergences
The script detects divergences using confirmed swing pivots:
Bullish Regular Divergence
Price makes a lower low
CVD makes a higher low
→ Suggests selling pressure is weakening
Bearish Regular Divergence
Price makes a higher high
CVD makes a lower high
→ Suggests buying pressure is weakening
Optional hidden divergences (continuation-type) can also be enabled.
All labels are plotted at the actual pivot bar, not repainting forward.
3️⃣ Open Interest filter (optional)
When enabled:
Labels are filtered by OI trend direction
You can require:
Rising OI (participation increasing)
Falling OI (position unwinding)
This helps reduce signals caused by low-liquidity noise or passive price movement.
Settings used (shown in screenshots)
These are the settings I personally use for cleaner, more precise pivot labels:
Lower TF (intrabar): 30s
Improves delta accuracy and reduces false divergences
CVD reset: Daily
Keeps CVD context relevant to the session
Pivot length: 5
Good balance between signal frequency and reliability
Use wicks for pivots: ✅ ON
Captures true extremes where absorption often happens
Min CVD diff filter: 0
No artificial filtering — rely on structure + confluence
Show hidden divergences: ❌ OFF
Focus on reversal-type signals
Enable OI filter: ✅ ON
Adds participation context
OI trend length: 5
Short-term confirmation without lag
Filter labels by OI: None
View all signals first, then judge context manually
How to use it (important)
This indicator is not a standalone trading system.
Best used together with:
Market structure (HH / HL / LL / LH)
Key levels (HTF levels, VWAP, range highs/lows)
Liquidity concepts (sweeps, equal highs/lows)
Volume behavior & session context
Divergence ≠ immediate reversal.
Think of it as a context tool, not an entry button.
⚠️ Disclaimer
This indicator is provided for educational purposes only.
It is not financial advice and should not be used on its own to make trading decisions.
Always combine with other confluences and proper risk management.
MIZAN v9.2: Volumetric Chaos ShieldTitle: MIZAN v9.2: Volumetric Chaos Shield (VCS)
Description:
MIZAN-VCS is an advanced trend-following system developed by Mizan Lab. It is designed to filter out market noise and identify high-probability entries powered by volume and momentum. It combines a dynamic "Path" algorithm with a Choppiness Index and Volume confirmation to keep traders out of dangerous ranging markets.
Key Features:
The Path (Dynamic Support/Resistance): Instead of standard moving averages, MIZAN uses a density-based path algorithm to find the true center of the price action.
Cyan Line: Bullish Trend
Orange Line: Bearish Trend
Volumetric Chaos Shield (VCS):
The indicator automatically detects "Choppy/Ranging" markets using the Choppiness Index.
When the market is choppy, the main trend line turns Gray and Thin, signaling "DO NOT TRADE".
Signals are suppressed during high chaos to prevent whipsaws.
Volume Confirmation:
A breakout is only valid if there is sufficient volume backing it. Weak moves are ignored.
OCC & L-Score Integration:
Uses a proprietary blend of RSI, CCI, and Volume to validate the "Reality" of a price move.
Built-in Trailing Stop:
Automatically plots a trailing stop line (Green/Red) to help you manage risk and lock in profits.
How to Use:
BUY Signal: When the line is Cyan (thick), Volume is Strong, and a "VOL BUY" label appears.
SELL Signal: When the line is Orange (thick), Volume is Strong, and a "VOL SELL" label appears.
WAIT: When the line is Gray (thin) and the Dashboard says "CHOP (WAIT)".
Dashboard: The bottom-right panel provides real-time status on Market Mode (Trend vs. Chop), Volume Strength, and developer credits.
Disclaimer: This tool is for educational purposes only. Always use proper risk management.
© Developed by Mizan Lab
Exhaustion 1-9 ScannerFind numbers to use in the scanner. If +9 or close is a berishsetup, if -9 or close is a bullish setup
Step Generalized Moving Average [BackQuant]Step Generalized Moving Average
Overview
Step Generalized Moving Average (StepGMA) is a trend-structure moving average designed to solve two common problems with classic MAs:
They overreact to noise in chop, causing constant micro-flips.
They lag too much when you smooth them enough to stop that noise.
StepGMA tackles this by combining two layers:
A Generalized Moving Average (GMA) that increases responsiveness without simply shortening length.
A Step Filter that converts the MA into discrete “steps” sized by ATR, suppressing insignificant movement and only updating when the move is meaningful.
The output is a trend line that behaves more like market structure: it holds its level through noise, then “reprices” in chunks when volatility-adjusted movement is large enough.
What the indicator is trying to represent
Instead of showing every tiny MA wiggle, StepGMA tries to represent the idea that:
Most price movement is noise relative to volatility.
Trend only matters when it advances by a meaningful amount.
A good trend line should stay stable until the market forces it to move.
That makes this indicator useful as:
A regime filter (trend vs chop).
A trend-following bias line.
A structure-like dynamic S/R reference.
A signal generator with fewer low-quality flips.
Component 1: Moving Average engine (selectable)
The base smoothing is not fixed. You can choose between multiple MA types:
SMA, EMA, WMA, VWMA: classic smoothing families.
DEMA, TEMA: reduced-lag EMA variants.
T3: smooth yet responsive, good for trend.
HMA: very low lag, can be twitchy without filtering.
ALMA: center-weighted smoothing, often “cleaner” visually.
KAMA: adaptive smoothing based on efficiency ratio, good in mixed regimes.
LSMA: regression-based, tends to track trend direction well.
McGinley: dynamic smoothing designed to reduce lag during fast moves.
This matters because the StepGMA is not “one MA.” It is a framework that lets you pick the underlying smoothing behavior, then applies the generalization and step logic on top.
Component 2: Generalized Moving Average (GMA)
Where the idea comes from
Generalized MA here is essentially a form of two-stage smoothing compensation . A common trick in signal processing and technical analysis is:
Apply a smoother once (MA1).
Apply it again (MA2).
Use MA2 as a “lag reference,” then combine MA1 and MA2 to reduce lag while keeping smoothness.
This is related in spirit to reduced-lag filters (like DEMA/TEMA) and “zero-lag” style constructions that subtract part of the lag component. You are not magically removing lag, you are biasing the output toward the first-pass MA while subtracting some of the second-pass smoothing that represents delayed response.
How this script does it
It computes:
ma1 = MA(src, len)
ma2 = MA(ma1, len)
Then combines them using a volume factor (vf):
generalized = ma1 * (1 + vf) - ma2 * vf
Interpretation:
ma2 is a “more delayed” version of ma1.
Subtracting vf * ma2 and adding (1+vf) * ma1 pushes the output toward responsiveness.
vf controls how aggressive that push is.
Volume Factor (vf) is really an aggressiveness knob
The script clamps vf between 0.01 and 1.0 to keep it stable. Conceptually:
Low vf: behaves closer to a normal MA1, smoother, more lag.
High vf: more compensation, faster response, more risk of overshoot or noise sensitivity (which is then handled by the step filter).
So the GMA stage tries to give you a cleaner, faster trend estimate without just shrinking the MA period.
Component 3: Step Filter (the key behavior)
What a step filter is
A step filter turns a continuous signal (here, the generalized MA) into a discrete “staircase” signal. Instead of updating every bar, it updates only when the input has moved far enough to justify a new step.
This is conceptually similar to:
A quantizer in signal processing (rounding changes to discrete increments).
A volatility threshold filter (ignore changes smaller than X).
Market structure logic where levels matter more than micro movement.
How it works in this script
The filter maintains a persistent value: stepped .
Each bar:
diff = src - stepped
If |diff| < stepSize, do nothing (hold the level).
If |diff| >= stepSize, move stepped by a number of step increments.
The step increment size is:
stepSize = (stepMult / 100) * ATR(atrPeriod)
This is critical:
In higher volatility, ATR is larger, so steps are larger, fewer updates, more stability.
In lower volatility, ATR is smaller, so steps are smaller, more updates, more sensitivity.
So the step behavior automatically adapts to volatility.
Multiple-step catching behavior
If price jumps far beyond one step, the script does not move only one step. It moves by:
floor(|diff| / stepSize) * stepSize
So it “catches up” in discrete blocks, preserving the stepped character without lagging massively after large moves.
Direction and regime
Direction is determined by the stepped line, not the raw MA:
direction = +1 if steppedMA is rising
direction = -1 if steppedMA is falling
otherwise direction stays the same
Signals only trigger on direction state changes:
Long when direction flips to +1
Short when direction flips to -1
This matters because it prevents repeated signals while the trend remains intact. You only get a signal when the market has moved enough (in ATR terms) to justify a structural step in the opposite direction.
Secondary line and gradient fill
The script also plots a secondary “slow MA” (length 25, same MA type). This is not the core logic, it is a visual context layer:
StepGMA is the structure line (discrete, regime-driven).
Slow MA is a smoother reference for the underlying drift.
The gradient fill highlights separation and dominance.
When StepGMA sits above the slow MA, the fill reinforces bullish bias. When below, it reinforces bearish bias. It is basically a “trend pressure” visual, not a separate signal.
How to interpret it
1) StepGMA as trend structure
Flat steps mean price is not making enough volatility-adjusted progress to move structure.
Up-steps mean the market has advanced enough to reprice the trend line upward.
Down-steps mean deterioration significant enough to reprice structure downward.
2) Direction is a regime, not a tick-by-tick call
Because direction is derived from step changes, it is naturally a regime filter:
Fewer flips in chop.
Clearer regime transitions.
Signals tend to occur later than ultra-fast tools, but with better confirmation quality.
3) Step size controls noise rejection
StepMult is the main “anti-chop” control:
Higher stepMult = bigger ATR steps = fewer updates, fewer signals, more confirmation, slower to react.
Lower stepMult = smaller steps = more updates, more signals, more sensitivity, more chop risk.
4) Generalization controls responsiveness of the underlying trend estimate
vf controls how “fast” the MA tries to be before stepping:
Higher vf makes the MA respond faster to new price information.
Lower vf makes the MA smoother and more conservative.
The step filter then decides whether that change is meaningful enough to matter.
Practical use cases
Trend filter for entries
Only take longs when direction is bullish.
Only take shorts when direction is bearish.
Avoid trades when StepGMA is flat for long periods, market is not repricing meaningfully.
Dynamic support and resistance
Because the line holds levels, it often behaves like structure:
In uptrends it can act as a rising support reference.
In downtrends it can act as falling resistance.
Signal quality layer
The step-based flip signals tend to be higher quality than basic MA crossovers because they require:
A meaningful volatility-adjusted move.
A confirmed direction change in the stepped trend structure.
Trade management
Use StepGMA as a trailing invalidation reference.
Use direction flips as “hard” regime exits.
Use separation vs slow MA as a “pressure” gauge for scaling decisions.
Tuning guidelines
MA Type
Pick based on the character you want:
T3, ALMA, KAMA are usually good defaults for clean trend representation.
HMA/LSMA are faster but may need larger stepMult to avoid twitch.
SMA is slow and stable but can be too laggy unless vf is increased.
MA Period
Sets the base smoothing horizon. Longer periods give “macro trend,” shorter periods give “tactical trend.”
Volume Factor (vf)
Sets responsiveness compensation:
0.05–0.25 is usually sensible.
Higher than that can get aggressive, step filter will save you, but your steps may fire more often.
ATR Period and StepMult
These define your structure sensitivity:
ATR Period controls how stable the volatility estimate is.
StepMult controls how large a move must be to change structure.
If you want fewer flips, increase StepMult or ATR Period. If you want quicker reaction, lower StepMult or ATR Period.
What this indicator is and is not
It is:
A trend structure MA that ignores sub-threshold noise.
A regime tool that uses volatility-adjusted repricing logic.
A configurable framework that works across assets and timeframes.
It is not:
A predictive reversal tool.
A scalping signal machine.
A replacement for risk management.
Summary
Step Generalized Moving Average combines a lag-compensated moving average (generalization via MA1/MA2 blending) with a volatility-scaled step filter (ATR-based quantization). The result is a stable, structure-like trend line that updates only when price movement is meaningful relative to volatility, producing cleaner regimes, fewer chop flips, and clearer trend bias than conventional moving averages.
[TL5 Shahnaz] %R + RSI Heatmap + ALMAThis indicator is a multi-layer momentum and trend confirmation tool designed for discretionary traders. It blends Williams %R, RSI-based market bias, and an ALMA moving-average stack to help identify momentum shifts, trend strength, and exhaustion zones.
The script does not repaint and works on all markets and timeframes.
🔹 Components
1️⃣ Williams %R (Momentum Core)
Measures short-term momentum and overbought/oversold conditions
Key zones:
Above −40 → bullish momentum
Below −60 → bearish momentum
Line color adapts to momentum strength and direction
2️⃣ RSI Heatmap (Market Bias)
Background color reflects RSI strength or weakness
Green shades indicate bullish pressure
Red shades indicate bearish pressure
Neutral tones suggest consolidation or transition
Helps visually confirm momentum context without extra plots
3️⃣ ALMA Trend Stack (Trend Direction & Slope)
Uses multiple ALMA (Arnaud Legoux Moving Average) periods
Smooth, low-lag trend representation
Slope label on the latest bar shows short-term trend acceleration
Useful as dynamic support/resistance and trend filter
🧠 How to Use
Look for %R momentum alignment with RSI heatmap bias
Use ALMA direction and slope to confirm trend continuation
Best used for:
Trend confirmation
Momentum timing
Trade management and filtering
Works well with price action and higher-timeframe bias
⚠️ Important Notes
This indicator does not generate buy/sell signals
Designed for confirmation, not standalone trading
Always use proper risk management
Suitable for stocks, crypto, forex, and indices
GeorgeFutures: ELITE Dashboard & Global Alert (C1,C2,C3)George FX : ELITE Dashboard & Global Alert
This indicator acts as your "Market Compass," providing 1-Hour (HTF) context while you execute trades on the 5-Minute (LTF) timeframe.
1. The "Master Filter" Logic (1H Calculation)
Regardless of the chart you are viewing, the script calculates three layers of data from the 1-hour timeframe in the background:
Primary Trend (EMA 200): Establishes the permitted direction. If the price is above the EMA 200, it only looks for Longs; if below, only Shorts.
Order Flow (FVG): Scans for institutional momentum. When a valid Fair Value Gap (imbalance) appears in the direction of the trend, it confirms market "strength."
Liquidity (Sweep c1, c2, c3): Identifies traps. It checks if the price has "swept" the liquidity (Low/High) of the last 3 candles on the 1H chart.
2. Visual Indicator Meaning (Status Dots & Colors)The table communicates the market state using a simplified professional color code:ElementStatusMeaningORDER FLOWBULLISH/BEARISH1H momentum is confirmed by an FVG in the direction of the EMA 200 trend.LIQUIDITYLIQUIDITY GRABA "Sweep" has occurred (liquidity was taken) within the last 3 hours.STRATEGYREADY TO TRADE All conditions are aligned. It is time to look for an entry on the 5-minute chart.
3. Unified Global Alert System
The alert is the "guardian" of your strategy:
Operation: Monitors both directions (Long and Short) with a single setup.
Trigger: You receive a notification only when the Strategy row turns READY TO TRADE.
Message: The notification clearly states the ticker (e.g., BTCUSDT) and the direction (BULLISH or BEARISH) so you don't waste time.
How to use it:
Set the Alert: While on the 5-minute chart, create an alert for George FX: ELITE Global Signal.
Wait: When the notification hits your phone, open the 5-minute chart.
Execute: Since the 1H context is perfect, you only need to find a local entry (like a Market Structure Break) on the 5m chart.
Liquidity Grab Engulfing.This indicator highlights Liquidity Sweep Engulfing candles:
• Bullish: previous candle bearish, current candle sweeps the previous low and closes above the previous high.
• Bearish: previous candle bullish, current candle sweeps the previous high and closes below the previous low.
Use it as a price-action confirmation tool alongside your support/resistance, structure, and risk management. This script is for educational purposes only and does not constitute financial advice.
March-May Oct-Dec bank stocks strategyIn the Indian market, banking stocks have some sort of cyclic nature.
If you buy at the start of March and sell at the start of May and then buy at the start of Oct and sell at the start of December, you can make gains close to to "buy and hold", while being invested only for 4 months out of 12.
This seems to backtest well for post 2021 on all Bank stocks I tested, including BANKNIFTY as well
Caveat: Not calculating STCG and other expenses caused by selling and buying 2 times every year.
Accurate Swing Trading + Support Resistance MTF (EN)Swing trading setup based on volume and support restistance. use buy main signal for large trend change and for swing trade use buy
MarketStructureLab - Swing Reversion Zones (FREE)Swing Reversion Zones is an indicator designed to analyze price reversions to market structure after impulsive moves.
The indicator builds a smoothed structural baseline and a dynamic deviation range, highlighting areas where price statistically tends to slow down, react, or retrace.
What it shows
• Zones of potential overbought and oversold conditions
• Areas where price reverts back to structure
• Context for pullback-based entries rather than entries in the middle of a move
How to use
• Trading swing movements within an existing trend
• Identifying price reactions near the range boundaries
• Confirming long and short setups in combination with market structure
Features
• Adaptive smoothing without reliance on static levels
• Works across all markets and timeframes
Important
This indicator is not a signal system and does not make predictions.
It highlights reaction and reversion zones relative to market structure. Trade decisions remain the trader’s responsibility.
Designed for traders who focus on structure, context, and market reaction.
Adaptive ATR Trend FollowerDESCRIPTION:
A practical educational tool for learning volatility-based trend following. This indicator demonstrates how to use ATR-adjusted trailing stops to adapt to changing market conditions. It shows traders how to dynamically adjust stop distances based on market volatility rather than using fixed price levels.
WHAT MAKES IT UNIQUE:
• Three preset trading modes (Fast/Balanced/Smooth) optimized for different market environments
• ATR-based dynamic stops that automatically widen during high volatility and tighten during calm periods
• Clear visual trend zones with adjustable transparency for better chart readability
• Educational focus on risk management concepts and adaptive position sizing
• Signal markers that highlight exact trend change points for precise analysis
HOW IT WORKS:
1. Calculates Average True Range (ATR) to measure current market volatility
2. Creates dynamic trailing stops using: Current Price ± (ATR × Multiplier)
3. Automatically switches trend direction when price crosses the trailing stop level
4. Provides continuous visual feedback through colored zones, signal markers, and bar coloring
5. Updates stop levels in real-time as market conditions change
EDUCATIONAL VALUE:
This indicator serves as a learning tool for understanding:
- How to use ATR for dynamic position and risk management
- The importance of adapting trading systems to current volatility conditions
- Trend-following principles with immediate visual feedback
- Risk management techniques through adaptive stop placement
- The relationship between volatility and optimal stop distances
SETTINGS EXPLAINED:
• ATR Period (14): The lookback period for volatility measurement. Higher values give smoother readings.
• ATR Multiplier (3.0): Determines stop distance from price. Higher = wider stops, Lower = tighter stops.
• Trading Style: Fast (tight stops for active trading), Balanced (default settings), Smooth (wide stops for volatile markets)
• Price Smoothing (1): EMA period applied to price. Reduces noise for cleaner trend detection.
• Trend Fill Transparency (80%): Controls visibility of the colored trend zone between price and stop line.
RISK WARNING & DISCLAIMER:
This is an educational trend-following tool designed for learning purposes. Important considerations:
• May produce whipsaw signals during sideways/consolidating markets
• Works best in clearly trending market environments
• Always combine with other analysis techniques for confirmation
• Practice proper risk management - never risk more than you can afford to lose
• Past performance does not guarantee future results
• This is NOT financial advice. Use at your own risk and discretion.
USE CASES:
- Learning about volatility-based trading systems and concepts
- Identifying potential trend direction changes with visual confirmation
- Setting adaptive stop-loss levels that adjust to market conditions
- Educational tool for understanding how ATR affects position management
- Visual study of how volatility impacts trend-following strategies
COMPATIBILITY:
• Works on all markets: Forex, Stocks, Crypto, Commodities, Indices
• Effective on multiple timeframes (5-minute to daily charts recommended)
• Compatible with other indicators for multi-factor analysis
INSTALLATION & USAGE:
1. Add indicator to your chart
2. Start with "Balanced" mode for most markets
3. Adjust ATR multiplier based on your risk tolerance
4. Use signals as potential entry/exit points (with confirmation)
5. Observe how stops adapt to changing volatility conditions
EDUCATIONAL TIP:
Try switching between Fast/Balanced/Smooth modes to see how different settings perform in various market conditions. Notice how wider stops (Smooth mode) can prevent premature exits during volatile trends, while tighter stops (Fast mode) may work better in calm, steady trends.






















