SMC Pro: Institutional Bias & Liquidity Sweep EngineOverview This script is a high-confluence technical analysis tool designed for traders following Smart Money Concepts (SMC) and Price Action methodologies. Its primary objective is to filter trend-based signals (EMA 9/21 crossovers) by integrating two critical institutional filters: HTF Bias (Higher Timeframe Sentiment) and Directional Liquidity Sweeps.
Key Features & Technical Originality Unlike standard crossover indicators, this script introduces a multi-layered institutional validation logic:
Real-Time HTF Bias Dashboard: The indicator automatically calculates the Daily Bias based on the previous close's position relative to the "Equilibrium" (the 50% mark of the previous day's range). This sentiment is displayed via a clean UI dashboard in the top-right corner, ensuring traders stay aligned with the higher timeframe flow.
Directional Liquidity Sweeps: The engine identifies local highs and lows within a dynamic lookback period. A "BUY" signal is only triggered if the price has first performed a "Sweep Low" (raiding sell-side liquidity), and a "SELL" signal only follows a "Sweep High" (raiding buy-side liquidity). This effectively filters out "Bull/Bear Traps."
Adaptive Memory Logic: The signal engine "remembers" a liquidity raid for a configurable number of bars. This allows for natural price development before confirming the entry with the EMA cross, capturing the expansion phase of the move.
Weekly NWOG Anchor: Includes an automated New Week Opening Gap (NWOG) tracker. Following institutional liquidity principles, this box anchors from Friday’s close to the new week’s open. Per user-defined constraints, the projection is limited strictly to the current trading week to maintain chart clarity and relevance.
How to Use
Confluence: Look for "BUY" signals when the Dashboard displays a "BULLISH" Bias and a recent sweep of lows has occurred.
Context: Use the NWOG levels as institutional magnets; price often gravitates toward or rebalances these gaps before continuing its expansion.
Optimized Timeframes: Best suited for M1, M5, and M15 intraday scalping.
Disclaimer This indicator is a visual aid for technical analysis and does not constitute financial advice. Past performance does not guarantee future results.
Indikator dan strategi
GridMap PRO by TradeAkademiGridMap PRO – Structural Price Mapping Framework
GridMap PRO is a price-mapping framework designed to visualize repeatable price reaction zones, based on the observation that price tends to evolve within specific percentage-based bands over time.
Despite its name, GridMap PRO is not a traditional grid trading indicator; it does not generate signals, predict direction, or provide automated trade execution. Its purpose is to segment price into logical and structurally consistent zones, offering a map that supports the decision-making process rather than replacing it.
This framework is not built on randomly drawn support and resistance levels, but on long-term observations, reverse-engineering studies, and the analysis of recurring price behavior across different market conditions.
Core Concept: Percentage-Based Scaling and Structural Bands
At the core of GridMap PRO lies a percentage-based scaling model centered around a 33% expansion ratio.
This ratio was not selected as a theoretical or mathematical constant. Instead, it emerged empirically through extensive analysis across multiple asset classes (including cryptocurrencies and traditional market instruments), by examining the percentage moves from significant price lows to areas where major price reactions frequently occurred.
Long-term observations have highlighted the following patterns:
In many upward price movements originating from a low, the first major price reaction often occurs within the 30–35% range
The midpoint of this range, 33%, has shown a recurring tendency to produce meaningful price reactions
Similar behavior can be observed not only when projecting from local lows, but also when applying the same ratio from the asset’s historical low
These findings suggest that the 33% ratio may reflect an aspect of price’s intrinsic scaling behavior, rather than representing a singular or “special” level.
Why the Historical Low (All-Time / Structural Low)?
GridMap PRO does not rely on dynamic or constantly shifting reference points when performing its calculations. Instead, it uses the historical lowest price as the most objective and indisputable anchor point available.
This design choice is intentional:
Dynamic lows:
introduce visual noise
require frequent redrawing of levels
reduce long-term structural consistency
The historical low:
is singular and fixed
does not repaint
preserves long-term perspective
By anchoring calculations to this structural low, GridMap PRO prioritizes stability and consistency over attempting to identify the “perfect” level at every moment. The goal is not precision through constant adjustment, but a coherent and durable price map.
Calculation Logic
The historical lowest price is used as the reference point
From this level, price levels are projected upward using a 33% multiplicative expansion
The resulting levels form long-term structural reference zones
Calculations are logarithmic, preserving the proportional nature of price scaling
Unlike traditional horizontal support and resistance tools, this approach allows price to expand while maintaining consistent relative distances as it grows.
Map Resolution: Long Term & Short Term
GridMap PRO offers two map resolution options, both derived from the same underlying structure and calculations.
Long Term
Displays only the primary 33% levels
Produces wider, more spaced structural bands
Suitable for macro structure analysis, swing trading, and position trading
Provides a clean and simplified view in high-volatility environments
Short Term
Retains the same primary levels
Adds logarithmic sub-levels between them
Produces denser and more precise reaction zones
Suitable for intraday analysis, short-term trade planning, and micro-structure evaluation
The underlying calculations remain unchanged; only the visual resolution and level density differ.
Visual Context & Supporting Tools
GridMap PRO also provides several optional visual tools that are not included in the core level calculations and are intended purely for visual support. These elements are designed to help interpret the price map more clearly and to provide additional contextual awareness.
The available visual components may include:
Moving Averages (EMA)
Used to provide contextual insight into the general price direction. They do not generate any entry or exit signals.
RSI Overbought / Oversold Zones
Displayed solely as background shading based on RSI values from the current timeframe and, optionally, from higher timeframes (e.g., 4H).
RSI Divergence Zones
Visual markers used to highlight potential momentum discrepancies, incorporating filters to limit repetitive signals.
None of these visual elements affect GridMap PRO’s level calculations, nor are they designed to serve as standalone trading signals. All visual settings are optional and can be enabled or disabled by the user.
What GridMap PRO Does – and Does Not Do
What It Does
Segments price into meaningful structural zones
Visualizes areas where price reactions are statistically more likely to occur
Provides reference regions for limit orders, grid-based approaches, or DCA planning
Helps identify whether price is trading within an active zone or moving through low-interaction space
What It Does Not Do
Generate long or short trade signals
Predict future price direction
Provide standalone buy or sell decisions
Offer any form of performance or outcome guarantee
GridMap PRO is not a signal generator, but a decision-support map.
Relationship to DCA and Grid Approaches
GridMap PRO is not a grid or DCA strategy by itself. However, when price fails to react at a given level, the next calculated percentage band naturally becomes a potential area of interest, offering a logical framework for DCA or layered position management.
In this context, GridMap PRO is particularly suitable for traders who favor process-driven and structured position management, rather than relying on single-point entries.
Final Note
Although the levels displayed by GridMap PRO have historically produced meaningful price reactions across many markets, no level can guarantee future price behavior. Market conditions, volatility, liquidity, and news flow should always be taken into account.
This tool is not designed to suggest that “price will definitely reverse here,” but rather that “price may pause, struggle, or change direction in this area.”
Because each market exhibits its own unique dynamics, the relevance of individual levels may vary by asset. Users are encouraged to validate all levels through their own historical observation and analysis.
Vishall Heikin Ashi ForceVishall Heikin Ashi Force
Vishall Heikin Ashi Force
Vishall Heikin Ashi Force
Vishall Heikin Ashi Force
Vishall Heikin Ashi Force
FX-CLINIC/ ICT/ LIQUIDITY SWEEPICT Indicator
Show Liquidity sweep
Automatic updated
created by FX-CLINIC
SPY 200SMA +4% Entry -3% Exit TQQQ/QLD/GLDM THREE PHASE STRATEGYWanted to take a look at all of the individual trades and provide a series of options to balance performance and risk. This post is expanding on my previous one - www.reddit.com
Here is the data and the backtesting splitting the strategy into three primary phases with multiple options and exact trade dates to help people easily backtest other combinations - docs.google.com (Three Tabs with the three phases)
If you just want my personal recommendations this would be what I will be using -
PHASE 1 (Strategy BUY signal triggers when SPY price crosses +4% over the SPY 200SMA) = 100% TQQQ
If trade lasts 366 days (Long Term Cap Gains) go to PHASE 2
If SPY price crosses below -3% SPY 200SMA go to PHASE 3
PHASE 2 (PHASE 1 lasts 366 days) = Deleverage and diversify into 50% QLD & 50% GLDM
PHASE 3 (Strategy SELL signal triggers when SPY price crosses -3% below the SPY 200SMA) = Defensive posture with 50% SGOV & 50% GLDM
As market degrades start selling SGOV and buying QQQ until 50% QQQ & 50% GLDM
TradingView Script for the THREE PHASE STRATEGY (imgur.com):
//
@version=
5
strategy("SPY 200SMA +4% Entry -3% Exit Strategy",
overlay=true,
default_qty_type=strategy.percent_of_equity,
default_qty_value=100)
// === Inputs ===
smaLength = input.int(200, title="SMA Period", minval=1)
entryThreshold = input.float(0.04, title="Entry Threshold (%)", step=0.01)
exitThreshold = input.float(0.03, title="Exit Threshold (%)", step=0.01)
startYear = input.int(1995, "Start Year")
startMonth = input.int(1, "Start Month")
startDay = input.int(1, "Start Day")
// === Time filter ===
startTime = timestamp(startYear, startMonth, startDay, 0, 0)
isAfterStart = time >= startTime
// === Calculations ===
sma200 = ta.sma(close, smaLength)
upperThreshold = sma200 * (1 + entryThreshold)
lowerThreshold = sma200 * (1 - exitThreshold)
// === Strategy Logic ===
enterLong = close > upperThreshold
exitLong = close < lowerThreshold
if isAfterStart
if enterLong and strategy.position_size == 0
strategy.entry("Buy", strategy.long)
if exitLong and strategy.position_size > 0
strategy.close("Buy")
// === 366-Day Marker Logic (Uninterrupted) ===
var
int
targetTime = na
// 1. Capture entry time only when a brand new position starts
if strategy.position_size > 0 and strategy.position_size == 0
targetTime := time + (366 * 24 * 60 * 60 * 1000)
// 2. IMPORTANT: If position is closed or a sell signal hits, reset the timer to "na"
if strategy.position_size == 0
targetTime := na
// 3. Trigger only if we are still in the trade and hit the timestamp
isAnniversary = not na(targetTime) and time >= targetTime and time < targetTime
// === Visuals ===
p_sma = plot(sma200, title="200 SMA", color=color.rgb(255, 0, 242))
p_upper = plot(upperThreshold, title="Entry Threshold (+4%)", color=color.rgb(0, 200, 0))
p_lower = plot(lowerThreshold, title="Exit Threshold (-3%)", color=color.rgb(255, 0, 0))
fill(p_sma, p_upper, color=color.new(color.green, 80), title="Entry Zone")
// Draw marker only if 366 days passed without a sell
if isAnniversary
label.new(bar_index, high, "366 DAYS - PHASE 2", style=label.style_label_down, color=color.yellow, textcolor=color.black, size=size.small)
// === Entry/Exit Labels ===
newOpen = strategy.position_size > 0 and strategy.position_size == 0
newClose = strategy.position_size == 0 and strategy.position_size > 0
if newOpen
label.new(x=bar_index, y=low * 0.97, text="BUY - PHASE 1", xloc=xloc.bar_index, yloc=yloc.price, color=color.lime, style=label.style_label_up, textcolor=color.black, size=size.small)
if newClose
label.new(x=bar_index, y=high * 1.03, text="SELL - PHASE 3", xloc=xloc.bar_index, yloc=yloc.price, color=color.red, style=label.style_label_down, textcolor=color.white, size=size.small)
200 SMA SPY Trading Range Bands Script:
//
@version=
5
indicator("200 SMA SPY Trading Range Bands", overlay=true)
// === Settings ===
smaLength = input.int(200, title="SMA Length")
mult1 = input.float(1.09, title="Multiplier 1 (9% Over)")
mult2 = input.float(1.15, title="Multiplier 2 (15% Over)")
// === Calculations ===
smaValue = ta.sma(close, smaLength)
line9Over = smaValue * mult1
line15Over = smaValue * mult2
// === Plotting ===
plot(smaValue, title="200 SMA", color=color.gray, linewidth=1, style=plot.style_linebr)
plot(line9Over, title="9% Over 200 SMA", color=color.rgb(255, 145, 0), linewidth=1)
plot(line15Over, title="15% Over 200 SMA", color=color.rgb(38, 1, 1), linewidth=2)
DarkFutures Where/How/WhenTesting - for 15min Gold scalps
It identifies 4hr Where, 30m How and 5min When sareas of trade, then gives a signal to buy/sell based on that trend and momentum information using 8/21 EAM and Vwaps.
Delta Power ZonesOverview
Delta Power Zones is an advanced order flow analysis indicator that identifies high-probability support and resistance levels based on buying and selling pressure intensity. By analyzing the relationship between volume and price action, this indicator reveals where institutional players are actively participating in the market.
🔹 What is Delta?
Delta represents the difference between buying volume and selling volume. When delta is strongly positive, buyers are in control. When strongly negative, sellers dominate. This indicator tracks extreme delta readings to identify zones where significant order flow occurred, creating potential future support and resistance levels.
🔹 Key Features
1. Extreme Delta Detection
Identifies bars with unusually high buying pressure (DB - Delta Buy)
Identifies bars with unusually high selling pressure (DS - Delta Sell)
These extreme readings often mark the start of strong moves or reversal points
2. Power Zones (Dynamic S/R)
Buy Zones (Green): Areas where extreme buying occurred - acts as potential support
Sell Zones (Red): Areas where extreme selling occurred - acts as potential resistance
Zones automatically adjust based on configurable width percentage
3. Absorption Detection
Buy Absorbed: Strong buying pressure but price closes lower - sellers absorbing buyers (potential resistance)
Sell Absorbed: Strong selling pressure but price closes higher - buyers absorbing sellers (potential support)
Absorption often precedes reversals as it shows one side failing despite heavy volume
4. Delta Strength Bar Coloring
Bars colored based on delta intensity relative to average
Bright green = Strong buying | Dark green = Moderate buying
Bright red = Strong selling | Dark red = Moderate selling
Gray = Neutral/balanced flow
5. Real-Time Info Table
Current Delta value
Delta Strength (multiple of average)
Average Delta
Buy Volume percentage
Current signal status
🔹 How It Works
Since TradingView doesn't provide native order flow data, this indicator intelligently estimates buy/sell volume using:
Candle body direction: Bullish closes suggest more buying, bearish closes suggest more selling
Candle body size: Larger bodies relative to range indicate stronger conviction
Wick analysis: Long lower wicks show buying absorption, long upper wicks show selling absorption
Volume distribution: Total volume is allocated between buyers and sellers based on price action characteristics
This approximation method has been validated against actual order flow data and provides reliable signals for most liquid instruments.
🔹 Signal Guide
SignalMarkerMeaningDBGreen Triangle UpExtreme buying - potential support formingDSRed Triangle DownExtreme selling - potential resistance formingABS (Orange)X Cross AboveBuying absorbed by sellers - watch for reversal downABS (Blue)X Cross BelowSelling absorbed by buyers - watch for reversal up
🔹 How to Use
For Support/Resistance:
Green zones act as potential support - look for long entries when price revisits
Red zones act as potential resistance - look for short entries when price revisits
Absorption levels provide additional confluence
For Trend Confirmation:
Consistent DB signals confirm uptrend strength
Consistent DS signals confirm downtrend strength
Absorption signals warn of potential trend exhaustion
For Reversals:
DS signal at support zone = potential failed breakdown
DB signal at resistance zone = potential failed breakout
Absorption at extremes often precedes reversals
⚙️ Settings
SettingDescriptionDefaultExtreme Delta MultiplierHow many times above average delta to trigger signal2.0Zone WidthWidth of power zones as % of price0.2%Lookback BarsPeriod for zone detection50Delta Smoothing PeriodEMA period for average delta calculation14Session FilterLimit signals to specific trading hoursOff
🎯 Best Used On
Indices: Nifty, Bank Nifty, S&P 500, Nasdaq
Forex: Major pairs with good volume data
Crypto: BTC, ETH, and other liquid coins
Stocks: Liquid large-cap stocks
Timeframes: 5m, 15m, 1H, 4H (works on all, but intraday recommended)
💡 Pro Tips
Confluence is Key: Combine power zones with other S/R methods (FVG, Order Blocks, Pivot Points)
Volume Matters: Signals are more reliable on high-volume instruments
Context is Everything: A DB signal in a downtrend may just be a pullback, not a reversal
Absorption Precedes Reversals: Pay extra attention when you see absorption at key levels
Adjust Multiplier: Increase for fewer but stronger signals, decrease for more sensitivity
⚠️ Disclaimer
This indicator estimates order flow using price and volume analysis. While the methodology is sound, it is an approximation and not actual tick-by-tick order flow data. Use in conjunction with other analysis methods and proper risk management. Past performance does not guarantee future results. This is not financial advice.
ROC-WMA bull bear indicatorROC-Weighted MA Oscillator
By Ludovic B
Modified source code of SeerQuant
The ROC-Weighted MA Oscillator (ROCWMA) is a momentum-driven oscillator designed to expose hidden acceleration and deceleration phases in price action by dynamically weighting a moving average with the normalized Rate of Change (ROC).
Instead of treating all price deviations equally, this indicator amplifies meaningful moves and suppresses low-energy noise, making it particularly effective in scalping, intraday trading, and momentum reversals.
🔧 Core Concept
A base moving average (SMA, EMA, TEMA, DEMA, HMA, ALMA, etc.)
Weighted by normalized ROC
Transformed into a Z-score oscillator for comparability across assets
Smoothed with a signal line for timing precision
Result: a context-aware oscillator that adapts to market intensity.
📊 What the Oscillator Shows
Bullish momentum when histogram is positive and expanding
Bearish momentum when histogram is negative and expanding
Neutral zone to filter chop and avoid over-trading
Automatic color logic to highlight regime changes
Optional candle coloring reflects the active momentum state.
🎯 Signal-Based Price Markers (Advanced Feature)
This script includes price-chart markers when:
The signal line retraces to X% of the maximum oscillator bar of the current momentum phase
AND the signal slope confirms exhaustion (rising or falling)
Key characteristics:
Adaptive thresholds (relative, not fixed)
Separate logic for bullish and bearish phases
Reset on each neutral-zone transition
Configurable number of markers per momentum cycle
This makes the indicator particularly useful for:
Pullback entries
Momentum fading
Timing partial exits
⚙️ Customization
Fully adjustable ROC length, MA type, signal length
Neutral zone threshold control
Multiple color schemes
Optional candle coloring
Adaptive signal-to-oscillator percentage logic
🧠 Best Use Cases
Scalping (M1–M5)
Intraday momentum confirmation
Pullback and exhaustion detection
Cross-asset trading (FX, indices, crypto, metals)
ROCWMA is not a lagging oscillator.
It is a momentum intensity detector built to reveal when price moves matter.
Solar Flares 2025 X & M Class This indicator plots vertical lines on your chart at the exact timestamps of the strongest solar flares recorded in 2025.
X-class flares are shown in light yellow
M-class flares are shown in light blue
All timestamps are based on the maximum intensity time of each flare (default timezone: UTC, adjustable in settings).
Features
Toggle X-class and M-class flares independently
Adjustable line width
Uses precise intraday timestamps (not daily approximations)
Designed as a timing overlay for market cycle research and event clustering
This tool is intended for exploratory and correlation analysis, allowing traders and researchers to visually compare periods of heightened solar activity with market behavior.
Data is hard-coded from the 2025 top solar flare catalog and loads once on script initialization for performance.
Delta Flow Profile [Ham]Variation of LuxAlgo original. The "Show Values" options allows you to turn off volume values printed on each bar. Also increased number of rows available
VWMA 200 (HTF) + Fibonacci BandsVWMA 200 (HTF) + Fibonacci Bands + VWAP Trend Dashboard
This indicator combines a Higher Timeframe VWMA (default: 200) with volatility bands and Fibonacci-based internal levels, plus anchored VWAPs (Daily / Weekly / Monthly) and an optional trend dashboard table.
It was designed to help you quickly spot:
where price is relative to a major HTF VWMA mean
whether price is trading in normal / extreme zones
how price is positioned versus session/period VWAPs
a simple “at-a-glance” trend bias across multiple anchors
What’s included
1) VWMA 200 (HTF)
VWMA is calculated on a locked timeframe (HTF) using request.security.
Default source is HLC3, but you can change the source.
2) Volatility bands + Fibonacci levels
The outer bands are based on a scaled standard deviation (mult * stdev) around the HTF VWMA.
Internal bands use Fibonacci ratios:
11.8% / 23.6% / 38.2% / 50% / 61.8% / 76.4% / 88.6% / 100%
Clean labels on the right side show each level as a percentage.
3) Extreme candle highlighting
Candles can be highlighted when the close is beyond the 76.4% band (upper or lower).
Helps identify potential stretched conditions / breakout zones.
4) Anchored VWAPs
Optional Daily / Weekly / Monthly VWAP (anchored by period change).
Optional VWAP labels on the right side (toggle separately).
5) Trend Dashboard Table
Optional table showing Bullish / Bearish / Neutral for:
VWAP D, VWAP W, VWAP M, and VWMA HTF
Displays distance from each reference in points (price units).
Includes a Confluence row:
Bullish if price is above all references
Bearish if price is below all references
Mixed otherwise
Table position can be customized (Top Right / Top Left / Bottom Right / Bottom Left).
How to use (quick guide)
Mean reversion / structure: Use the HTF VWMA as the central “mean” reference.
Zones: Fibonacci bands show progressively stronger deviation zones from the mean.
Extremes: Candle coloring beyond 76.4% can highlight stretched price action.
Trend bias: The dashboard helps confirm whether price is aligned above or below key anchors (VWAPs + VWMA HTF).
Confluence: When multiple anchors agree, trend conviction tends to be higher.
Notes / Disclaimer
This tool is intended for context and decision support, not as a standalone strategy.
VWAP behavior may differ across markets/sessions depending on symbol and exchange rules.
Always combine with your own risk management and confirmation tools.
Gold Sniper Pro: Trend & Reversal SystemTitle: Gold Sniper Pro: Trend & Reversal System
Headline: Stop choosing between "Buying the Dip" and "Chasing the Trend." Now you can do both.
Introduction: Most indicators fail because they only work in one market condition. Reversal indicators fail during strong breakouts (selling too early), and Trend indicators fail during ranging markets (buying the top).
Gold Sniper Pro solves this by running two separate algorithms simultaneously to cover every phase of price action on Gold (XAUUSD).
How It Works (The Dual-Core Logic):
1. 🟢 SNIPER MODE (The "Buy Low" Logic)
Goal: Catch the exact bottom of a pullback.
Logic: Detects when price sweeps a liquidity low but is trading at a "discount" (below the EMA 20).
Signal: Displays a Green "SNIPER" label.
Best for: Ranging markets and deep corrections.
2. 🔵 TREND MODE (The "Breakout" Logic)
Goal: Catch the high-momentum runaway moves (like the 16:40 pump).
Logic: Detects when price is holding above the EMA 20 with strong momentum. It buys the strength, not the weakness.
Signal: Displays a Blue "TREND" label.
Best for: News events and strong directional rallies.
Key Features:
⚡ Dynamic EMA Filter: Replaces laggy RSI with real-time price action relative to the EMA 20.
🛡️ Multi-Timeframe Safety: Built-in 30m Trend Filter to prevent trading against the major trend (can be toggled OFF for aggressive scalping).
🎯 Auto TP/SL Lines: Automatically plots your Risk:Reward (2:1) targets on the chart.
🚀 "Force Trade" Switch: A new feature that allows you to bypass safety filters during high-volatility news events to catch fast breakouts.
How to Use:
Timeframe: Best on 1m or 5m (Designed for XAUUSD/Gold).
Aggressive: Check "Ignore 30m Filter" in settings to catch every scalping opportunity.
Conservative: Uncheck "Ignore Filter" to only trade when the 30m trend is aligned.
Exit: Close trade when price hits the Green TP line or Red SL line.
Settings:
EMA Length: 20 (Standard Institutional Trend).
Reward Ratio: 2.0 (Default).
LSMA25 Trend Correction Continuation
## LSMA25 Trend Correction Continuation - Publishing Description
### Overview
This indicator highlights **trend continuation opportunities** using a **25-period LSMA (Least Squares Moving Average)** with a **slope/angle filter** and a simple **correction + re-entry** logic.
It is designed to mark:
* **Continuation entries** after a pullback (correction) and re-cross of LSMA in the direction of a strong trend
* **Strong-trend state** (subtle dots) when price stays on the trend side of LSMA with a steep angle, even without a fresh cross
### Core logic
1. **LSMA (25 by default)**
* Uses `ta.linreg(close, lsmaLen, 0)` as the LSMA line.
2. **Trend strength via angle (tick-normalized)**
* Computes 1-bar LSMA slope in **ticks**:
* `slopeTicks = (lsma - lsma ) / syminfo.mintick`
* Converts slope to an angle using `atan()` and a calibration input:
* `ticksPerBarFor45` approximates how many ticks per bar corresponds to ~45°
* Strong trend conditions:
* LONG trend strength when `angleDeg >= minAngleLongDeg`
* SHORT trend strength when `angleDeg <= minAngleShortDeg`
3. **Correction detection**
* LONG side: a correction exists if within the last `corrLookback` bars the close was **below** LSMA:
* `ta.barssince(close < lsma) <= corrLookback`
* SHORT side: correction exists if within the last `corrLookback` bars the close was **above** LSMA:
* `ta.barssince(close > lsma) <= corrLookback`
4. **Continuation signals**
* **Long Continuation (LC)** triggers when:
* Price **crosses above** LSMA (`ta.crossover(close, lsma)`)
* Angle indicates **strong uptrend**
* A recent **pullback below LSMA** occurred
* Optional ATR% filter passes
* **Short Continuation (SC)** triggers symmetrically on cross below.
5. **Strong trend markers**
* When price is on the trend side of LSMA and angle is strong:
* Uptrend: `close > lsma and strongUp`
* Downtrend: `close < lsma and strongDown`
* Drawn as small, semi-transparent circles (not entry signals by themselves).
### Plots and labels
* **LSMA line** plotted in yellow.
* **LC**: green triangle below bar (trend continuation long).
* **SC**: red triangle above bar (trend continuation short).
* **Dots**: tiny circles for strong-trend state when no fresh continuation signal is present.
### Inputs (how to tune)
* **LSMA length**
* Higher = smoother, fewer signals
* Lower = more responsive, more signals/noise
* **Ticks per bar ≈ 45°**
* Calibration control for angle scaling across different instruments/timeframes
* Increase it if angles look too “aggressive”; decrease it if angles look too “flat”
* **Min angle for LONG / Max angle for SHORT**
* Tighten to filter for only steep trends; loosen to allow more setups
* **Max correction bars back**
* Larger values allow older pullbacks to qualify
* Smaller values require a more recent correction
### Optional volatility filter (ATR%)
* When enabled, the script requires:
* `ATR% = (ATR / close) * 100 >= minAtrPct`
* Useful to avoid low-volatility chop (but can filter out valid trends on slow markets).
### How to use (practical)
* Use **LC/SC** as “trend continuation after pullback” markers:
* Prefer trading in the direction of higher timeframe bias (if applicable)
* Consider entries on LC/SC with your own risk rules (stops/targets are not included)
* Use the **strong-trend dots** as a regime filter:
* If dots persist, continuation setups have higher context quality
* If dots disappear frequently, market may be ranging/choppy
### Limitations (important)
* Angle is based on **LSMA 1-bar slope**, so it is sensitive to sudden changes and can vary across markets/timeframes.
* Correction logic is binary: it only checks whether price crossed to the other side of LSMA recently (not depth/structure of pullback).
* Signals depend on **close crossing LSMA**, not intrabar wick behavior.
* Not a full trading system: no position sizing, stops, or take profits.
### Alerts
Alerts fire only on **confirmed bars** (`barstate.isconfirmed`) for:
* “LSMA25 Long continuation”
* “LSMA25 Short continuation”
Scalping V5 - Strongest S/R & Predictive PanelScalping V5: Predictive Momentum & Institutional S/R by Herman Sangivera ( Papua )
Overview
Scalping V5 is a high-precision momentum indicator designed for lower timeframe traders (1m, 5m, 15m) who require a blend of trend-following logic and real-time structural analysis. Unlike standard indicators that only look at price action, this script utilizes a Dual-EMA Ribbon for momentum, a 200-period Filter for institutional bias, and a Predictive Probability Panel to gauge the strength of a potential move.
Key Features
1. Smart Momentum Ribbon (EMA 12/36)
The core of the strategy uses a dynamic ribbon.
Blue Ribbon: Indicates aggressive bullish momentum.
Red Ribbon: Indicates aggressive bearish momentum.
Traders should look for "Value Area" entries when the price retraces into the ribbon before continuing the trend.
2. Institutional Trend Guard (EMA 200)
To avoid "choppy" markets and counter-trend traps, the script plots a thick white baseline.
Above 200 EMA: Only Long setups are prioritized.
Below 200 EMA: Only Short setups are prioritized.
3. Dynamic Support & Resistance (S/R)
The script automatically calculates the Strongest Resistance (Highest High) and Strongest Support (Lowest Low) based on a 50-period lookback. This helps scalpers identify immediate "walls" in the market to set realistic Take Profit (TP) and Stop Loss (SL) levels.
4. Predictive Analytics Dashboard
The real-time panel in the top right provides:
Strategy State: Detects if the market is breaking out or consolidating.
Probability Score: A weighted calculation (smoothed by SMA) that determines the likelihood of the next move based on trend alignment.
Actionable Recommendation: Flashes "STRONG BUY" or "STRONG SELL" only when momentum and distance-to-target are optimal.
How to Trade with Scalping V5
Long Entry: Price must be above the EMA 200. Wait for the Ribbon to turn Blue and the Dashboard to display a Probability Up > 65%. Ensure there is enough "room" to the Red Resistance line.
Short Entry: Price must be below the EMA 200. Wait for the Ribbon to turn Red and the Dashboard to display a Probability Down > 65%. Ensure there is room to the Green Support line.
Exit Strategy: Take profits at the S/R levels or when the price closes back inside the EMA Ribbon.
Settings & Optimization
EMA 12/36: Optimized for Scalping. Increase to 20/50 for Day Trading.
Lookback S/R: Set to 50 for intraday levels; increase to 100 for more "significant" swing levels.
Overlay: This indicator is designed to be used directly on the price chart.
Disclaimer: Scalping involves significant risk. This tool is designed to assist your analysis and should be used in conjunction with proper risk management and price action confirmation.
FX-CLINIC/ICT/FVG&IFVGICT Indicator
Automatic show FVG
Automatic changed to IFVG when break 100% by candle body
Automatic delete IFVG when break 100% by candle body
Working in all timeframes
Created by FX-CLINIC
Shock Gap Bot [Enhanced]Shock Gap bot this to provide entry for pre market stocks , so you can get the bounce back
Market Intent Flow (MIF)🟡 Market Intent Flow (MIF) – Gold Trader’s Perspective
Market Intent Flow (MIF) is a price-action-based indicator designed to reveal real market participation behind Gold (XAUUSD) moves.
Instead of flooding the chart with signals, MIF highlights only moments when the market clearly shows intent — whether buyers or sellers are in control.
Gold is a liquidity-driven instrument. MIF is built to respect that nature, not fight it.
🏆 Why Gold Traders Like This Indicator
Gold traders prefer clarity over noise, and that’s exactly what MIF delivers:
🧲 Gold respects structure & momentum
🔊 Big moves happen with volume expansion
🧠 Smart money shows intent before continuation
⏳ Fewer signals = higher quality setups
🎯 Works well on H1, H4, and M15
This makes MIF ideal for intraday, swing, and positional Gold traders.
🧠 Detection Logic
Simple • Effective • Battle-Tested
MIF does not rely on lagging indicators.
It confirms intent using three proven market elements:
📈 Structure Shift – Price must break recent highs or lows
🕯 Candle Strength – Strong body dominance, not weak wicks
🔊 Volume Expansion – Participation confirms conviction
Only when all conditions align, a signal is printed.
💥 Displacement Filter
Power Move Confirmation
Gold often creates fake breakouts.
MIF avoids them using a displacement filter:
🚀 Signals appear only during impulsive candles
❌ Weak, slow, or choppy candles are ignored
📊 Confirms real institutional movement
🔥 Ideal for catching continuation after liquidity events
This keeps the indicator clean, disciplined, and professional.
📌 How to Use It Best
🟢 Green Signal → Bullish intent confirmed
🔴 Red Signal → Bearish intent confirmed
🔵 EMA Line → Market bias & trend filter
⚠️ Important Note
This indicator is a confirmation tool, not a prediction engine.
It is designed to help traders trade with the market, not against it.
FOCUS all in one (N-TABLOUH)It took me hours and hours to build this indicator
so it shows the important stuff we need to watch as traders! Here you see a price label with a countdown,
how much the asset has retraced from its high or low,
and the total session range.
You also get 4h separators to show the move, keeping you aware of the 4/8 or 12h window. Plus, there is a table showing the assets you want to trade so we don't have to go flip charts and waste time
PowerGaps - Multi-Timeframe Fair Value GapsPowerGaps — Multi‑Timeframe Fair Value Gap Engine
PowerGaps is a precision‑built, multi‑timeframe Fair Value Gap (FVG) engine designed for traders who rely on clean, reliable market structure signals without noise, repainting, or clutter.
It automatically detects and plots institutional FVGs from higher timeframes directly onto your current chart, giving you a clear view of premium/discount imbalances and liquidity inefficiencies that matter most.
What PowerGaps Does
• Scans four customizable timeframes (e.g., M5, M15, H1, H4) for valid bullish and bearish FVGs
• Projects those HTF gaps onto any lower timeframe chart
• Colors and labels each gap by timeframe for instant visual recognition
• Tracks each gap until it is mitigated by wick touch, then automatically closes and removes it
• Ensures no repainting, no duplicates, and no phantom gaps
• Maintains perfect alignment across timeframes using a robust, cross‑TF‑safe architecture
Why It’s Different
PowerGaps is engineered with a strict validation and mitigation system that prevents the common issues seen in many FVG indicators:
• No repeated stacking of the same gap
• No gaps disappearing when switching timeframes
• No false mitigation signals
• No stale or corrupted objects left behind
Every plotted gap is intentional, accurate, and actionable.
Ideal For
• ICT‑style traders
• Liquidity and imbalance‑based strategies
• HTF bias mapping
• Scalpers who rely on HTF inefficiencies
• Swing traders looking for clean continuation or reversal zones
Inputs & Customization
• Enable/disable each timeframe independently
• Choose custom colors for bullish and bearish gaps
• Full control over which timeframes you want projected onto your chart
UT Bot + MACD BUY Delayed Confirm v6UT Bot + MACD BUY Delayed Confirm..even if macd cross happens afterwards signal arrives
S/R Zones
### What it does
**Smart S/R Zones** automatically detects and visualizes **support and resistance zones** by:
* Finding **confirmed swing highs/lows** (pivot points)
* **Clustering nearby pivots** into price zones
* Scoring each zone by **how many pivots** it contains (zone “strength”)
* Marking zones as **active** or **broken**, and stopping broken zones at the breakout bar
* Keeping the chart clean by removing pivots and zones outside a configurable lookback window
### Core logic (how it works)
1. **Pivot detection (swing points)**
* Uses `ta.pivothigh()` and `ta.pivotlow()` with:
* `leftBars` bars to the left
* `rightBars` bars to the right
* Important: pivots are **confirmed only after `rightBars` bars**, so signals are delayed by design.
2. **Pivot memory + lookback cleanup**
* Each pivot is stored with:
* price
* type: `1` = resistance pivot high, `-1` = support pivot low
* pivot bar index (pivot’s original bar)
* active/broken flag
* breakout bar index (when it got broken)
* Pivots older than `lookbackPeriod` bars are removed.
3. **Dynamic zone width**
* Computes the recent range:
* `priceRange = highest(high, lookbackPeriod) - lowest(low, lookbackPeriod)`
* Converts it to a maximum zone width:
* `maxZoneWidth = priceRange * zoneWidthPct / 100`
* This makes zones adapt to volatility/regime changes.
4. **Breakout detection (pivot invalidation)**
* A resistance pivot is marked broken when:
* `close > pivotPrice * (1 + breakoutPct/100)`
* A support pivot is marked broken when:
* `close < pivotPrice * (1 - breakoutPct/100)`
* Note: breakout is **close-based**, not intrabar wick-based.
5. **Clustering pivots into zones**
* Pivots are grouped into zones **only with the same type** (support with support, resistance with resistance).
* A pivot joins a zone if it is close to the zone midpoint:
* `abs(price - zoneMid) <= maxZoneWidth/2`
* Zone boundaries expand to include the new pivot, but only if:
* `(newHigh - newLow) <= maxZoneWidth`
* Zone strength increments by 1 for each pivot added.
6. **Active vs broken zones (visual state)**
* Active zones extend to the **current bar**.
* Broken zones stop at their **breakout bar** (the bar index stored when the pivot was broken).
* Strength includes all pivots clustered, including pivots that later broke (as long as they are still in lookback).
### Visuals (what you see)
* **Green zones**: active support
* **Red zones**: active resistance
* **More transparent zones**: broken zones (support/resistance that was invalidated by a close beyond the breakout threshold)
* Optional labels:
* `S2`, `S3`… for support strength
* `R2`, `R3`… for resistance strength
* The number is the **count of clustered pivots** in that zone.
### Inputs (how to tune it)
* **Pivot Left Bars / Pivot Right Bars**
* Higher values = fewer pivots, more “major” swings, stronger zones
* Lower values = more pivots, more zones, more noise
* **Lookback Period**
* Limits how far back pivots are considered and keeps the chart uncluttered
* **Zone Width %**
* Controls how wide zones can get (as a % of recent range)
* Higher = more clustering, fewer broader zones
* Lower = tighter zones, more zones
* **Minimum Zone Strength**
* Filters weak zones. Example: set to 3 to show only zones formed by 3+ pivots
* **Breakout Threshold %**
* Defines how far price must close beyond a level to mark it broken
* Higher = fewer “false break” breaks, slower invalidation
* Lower = more responsive, more break markings
* **Show Strength Labels**
* Toggles S/R strength markers.
### How to use it in trading workflows
* **Zone reaction**: Watch for rejection/acceptance when price revisits a strong zone (`S3+`, `R3+`).
* **Breakout context**: A zone turning “broken” indicates price closed meaningfully beyond it (by threshold).
* **Confluence**: Use with your own context (trend, volatility, session structure, volume tools). This script is strictly price-structure based.
