Supertrend no repaint v6,GIM“It is a Supertrend which, with wicks enabled, triggers alerts only once per candle and no longer removes the alerts from the chart. It is recommended to use it with signal robots. Test it carefully before using it.”
밴드 및 채널
OSOM TrendHow to Use the OSOM Trend Indicator
The OSOM Trend indicator is designed for use on TradingView charts. It provides trend identification, entry/exit signals, breakout detection, volume analysis, and market state insights. Below is a step-by-step guide to setting it up and using it effectively.
1. Adding the Indicator to Your Chart
Open TradingView (tradingview.com) and load a chart for your desired asset (e.g., stock, crypto, forex).
Click the "Indicators" button at the top of the chart.
Search for "OSOM Trend" (if it's a community script, you may need to paste the Pine Script code into the Pine Editor).
To add via Pine Editor:
Click the Pine Editor tab at the bottom.
Paste the provided code (from //@version=6 to the end).
Click "Save" and name it (e.g., "OSOM Trend").
Click "Add to Chart".
The indicator will overlay on your chart with default settings.
2. Configuring Inputs
Once added, click the gear icon next to the indicator name in the chart legend to open settings.
Inputs are grouped for ease:
OSOM WV Settings: Adjust trend length (default 14 for sensitivity), smoothing (7), band width (0.8 ATR multiplier), ATR length (10). Toggle fast mode for minimal lag, signals, forecast, take-profits, and re-entries.
Breakout Boxes Settings: Set pivot length (5), box widths (0.5 upper/lower via sliders), and colors.
MMB Settings: Volume lookback (200), EMA smoothing (10).
PVSRA Settings: Length (10), multipliers for climax/rising volumes (2.0/1.5). Optional symbol override (e.g., for aggregated BTC data).
Vector Candle Zones: Toggle on/off, max zones (500), zone type (body/wicks), transparency (90).
CVD Settings: Toggle long/short MAs (55/34 EMA), multipliers (1.5), lengths (40). Enable higher TF, volume integration, dynamic clouds, bar coloring, and status table.
Start with defaults for most assets; reduce lengths for lower timeframes (e.g., 1m-15m) to increase responsiveness, or increase for higher TFs (e.g., daily) for smoother trends.
Visual tweaks: Choose label size (small to reduce clutter), colors, and mode (Cloud for channels, Line Only for simplicity).
3. Interpreting the Visuals and Signals
Trend Line and Bands/Cloud:
Green (bullish) when price > upper band; red (bearish) when < lower band; gray (neutral).
Cloud mode shows a filled channel; use for range visualization. Single Band highlights the active support/resistance.
Buy/Sell Signals:
Up arrow (↑) labels for buys (price crosses over upper band); down arrow (↓) for sells (crosses under lower band).
If forecast enabled, labels show "count/avg" (e.g., "↑ 5/10") – current trend bars vs. smoothed historical average.
Take-profit: "✖" labels when overextended (Z-score > threshold, RSI EMA slope reversal).
Re-entries: "↻" labels on wick touches during trends (with cooldown to avoid spam).
Breakout Boxes:
Pink upper boxes (resistance) and green lower boxes (support) around pivots.
Boxes display total volume and buy/sell % breakdown.
Breakout signals: "BreakUp ⯁" or "BreakDn ⯁" labels/alerts when price crosses box edges – use for momentum trades.
MMB (Market Maker Build):
Green crosses below bars: Building long (accumulation).
Red crosses above: Building short.
Green X above: Closing long (distribution).
Red X below: Closing short.
Watch for clusters near support/resistance for institutional activity.
PVSRA Candle Coloring:
Overrides bar colors: Green/lime (bull climax), red (bear climax), blue (bull rising), violet/fuchsia (bear rising), gray (normal).
Vector zones (translucent boxes) highlight high-volume areas as potential S/R.
CVD (Cumulative Volume Delta):
Bar colors: Blue (uptrend), red (downtrend) based on CVD vs. MAs.
Status table (top-right): Checkmarks for Long/Short/Test/Sideways states.
Long: CVD above both MAs (bullish confirmation).
Short: Below both (bearish).
Test: Near clouds (potential reversal).
Sideways: Within parallels (range-bound).
4. Trading Strategies
Trend Following: Enter long on buy signals in green trends; short on sell in red. Exit on opposite signals or take-profits. Use forecast for expected duration.
Breakouts: Trade breakups from upper boxes (long) or breakdowns from lower (short). Confirm with volume % (e.g., high buy volume in upper box suggests strong breakout).
Volume Confirmation: Align with MMB builds/closes and PVSRA climaxes for high-conviction entries. Avoid trades in sideways CVD states.
Filters: Use RSI EMA slope in take-profits for overbought/oversold avoidance. Higher TF CVD for broader context.
Timeframes: Versatile – scalping (1m-5m with fast mode), swing (1h-4h), position (daily+). Test on historical data.
Risk Management: Set stops below lower band (longs) or above upper (shorts). Size positions based on ATR.
5. Alerts and Automation
Set alerts via TradingView: Right-click chart > Add Alert > Condition (e.g., "Buy Signal" or "BreakUp").
Supported alerts: Buy/Sell, Take-Profit, BreakUp/Dn, MMB crosses, Vector patterns, CVD Long/Short entries.
For scripting: Use alertcondition() calls in the code for custom notifications.
6. Tips and Best Practices
Asset Suitability: Best on volume-rich assets (e.g., BTC/USD, stocks). For low-volume, disable CVD/MMB or use overrides.
Performance: On busy charts, reduce max counts (labels/boxes) to avoid lag. Test fast mode for real-time trading.
Backtesting: Use TradingView's replay or strategy tester (convert to strategy script by adding strategy() functions).
Limitations: Not a standalone system – combine with fundamentals/news. Higher TF data may delay updates.
Customization: Experiment with inputs; e.g., tighten bands (lower multiplier) for volatile markets.
This indicator excels in providing multi-layered confirmation, reducing false signals through volume integration. Always practice on demo accounts before live trading.
HFT 1M: EMA + VWAP + TSRSession VWAP: Volume-Weighted Average Price that resets at the start of each regular trading session; plotted in yellow.
EMA15: 15-period exponential moving average rendered as a stepline for crisp visualization; plotted in white.
Pivots: Dynamic support (green) and resistance (red) levels derived from highest/lowest values on a custom 100-unit timeframe.
References:
This High Frequency Trading strategy on a 1-minute timeframe is based on taking advantage of the constant tendency of price to magnetize towards the volume-weighted average price (VWAP) of the daily session, using volatility pivots (upper and lower) and a 15-period moving average.
When a new pivot is generated, and after breaking the EMA15, it gives us the possibility to place an order (TP1 of 50% at a 1:1 ratio and let the rest run, expecting greater extension) in the direction towards the VWAP moving average. It must always be kept in mind that this is a discretionary strategy and you must be prudent with risk since you are trading counter-trend.
- This strategy is used in the ZcoinTV/ScottFDX community and credits belong to them.The creation of this unique indicator composed of 3 indicators was made so that free account users can take advantage of it without limitation. The code is open-source and copyright-free. The adaptation was done with Artificial Intelligence"
Alangari Stoch Re-Cross SignalIndicator Description (Short):
Alangari Stoch Re-Cross Signal identifies strong Stoch RSI crossovers within oversold and overbought zones, then confirms the move by triggering a single signal only when the next candle breaks its opening direction. This filters out weak setups and highlights high-quality entry points.
Crypto Mobi FVG (Free)⭐ Crypto Mobi FVG Indicator (Free for Community)
This is a simple, clean and powerful Fair Value Gap (FVG) indicator created for traders who follow Smart Money Concepts (SMC). It automatically detects Bullish & Bearish FVGs, draws them on your chart, and extends them into the future so you can easily identify potential imbalance zones, liquidity grabs and high-probability entries.
This indicator is designed to be lightweight, fast and beginner-friendly. Whether you are trading Bitcoin, altcoins, forex, gold or indices, it helps you clearly visualize imbalance zones without needing any premium tools.
📌 Features
🔹 Automatic detection of Bullish FVGs
🔹 Automatic detection of Bearish FVGs
🔹 Smart extension of all gaps to the right
🔹 Clean visual zones with color-coded fills
🔹 Minimal lag and optimized performance
🔹 Works on all timeframes (1m to 1W)
🔹 Perfect for SMC / ICT-style trading
HL ±Pips Zone## **Overview**
This indicator highlights the most critical danger zones for scalpers:
the **±2 pips area around the most recent High and Low**.
These zones often attract liquidity, cause fake breakouts, and lead to stop hunts—especially in USDJPY scalping.
Use this tool as a **dynamic “no-entry buffer”** to avoid low-probability trades.
---
## **Purpose**
* Prevent entries near recent highs/lows where reversals are common
* Filter out low-quality signals from your existing strategy
* Reduce consecutive losses during range conditions
* Improve win-rate by avoiding fake breakouts and wick-based stop-outs
---
## **How It Works**
* The indicator identifies the **recent highest high** and **recent lowest low** within a user-defined lookback period.
* It then draws:
* **Red Zone:** ±pips around the recent high
* **Blue Zone:** ±pips around the recent low
* These zones represent areas where liquidity traps and false breakouts frequently occur.
---
## **How to Use**
### **1. Avoid entering positions inside the colored zones**
Even if your strategy generates a signal, skip the trade when price is inside the ±pips buffer.
### **2. Enter only after a clean breakout**
Look for:
* A candle **body** closing outside the zone
* A small pullback
* Confluence with your existing entry criteria
### **3. Identify trend vs. range easily**
* Price sticking inside the zones → **range**
* Price staying outside → **trend**
### **4. Better stop-loss handling**
Using the **candle close** beyond the zone for stop-loss improves trade stability and prevents noise-based stop-outs.
---
## **Best For**
* USDJPY scalping (1m / 30s)
* Breakout & momentum strategies
* The H Alert–based setups
* Traders avoiding liquidity traps
---
## **Inputs**
* **Lookback Period:** Number of bars to define recent high/low
* **Pips Offset:** Distance above/below recent high/low
* **Pip Size:** Automatically calculated for FX pairs
---
## **Benefits**
* Avoids entries at the top/bottom of ranges
* Prevents fake breakout losses
* Provides clear visual “danger zones”
* Works perfectly as a filter for any entry strategy
---
## **Summary**
**Trade outside the colored zones.
Avoid entries inside them.**
This simple rule can dramatically improve consistency and reduce unnecessary losses—especially in fast scalping environments.
---
## **Notes**
* Optimized for USDJPY 1m/30s
* Works across all FX pairs with correct pip settings
* No repainting
---
Advanced Linear Regression Pro [PointAlgo]Advanced Linear Regression Pro is an open-source tool designed to visualize market structure using linear regression, volatility bands, and optional volume-weighted calculations.
The indicator expands the concept of regression channels by adding higher-timeframe confluence, slope analysis, imbalance detection, and breakout highlighting.
Key Features
• Volume-Weighted Regression
Weights the regression curve based on volume to highlight periods of strong participation.
• Dynamic Standard-Deviation Bands
Upper and lower bands are derived from volatility to help visualize potential expansion or contraction zones.
• Multi-Timeframe (MTF) Regression
Plots higher-timeframe regression lines and bands for additional trend context.
• Slope Strength Analysis
Helps identify whether the current regression slope is trending upward, downward, or in a neutral range.
• Order Flow Imbalance Detection
Highlights bars where price and volume move unusually fast, which may indicate liquidity voids or imbalance zones.
• Breakout Markers
Shows simple visual markers when the price closes beyond volatility bands with volume confirmation.
These are visual signals only, not trading signals.
How to Use
This indicator is meant for visual market analysis, such as:
Observing trend direction through regression slope
Spotting volatility expansions
Comparing price against higher-timeframe regression structure
Identifying areas where price moves rapidly with volume
It can be used on any market or timeframe.
No part of this script is intended as financial advice or a complete trading system.
QUANT ALPHA The Quant Master Supertrend is a professional tool that tells you when to enter, what the market is doing, and when to take profit. It combines three powerful concepts into clear visual signals.
XAUUSD Sniper Setup (Pre-Arrows + SL/TP)//@version=5
indicator("XAUUSD Sniper Setup (Pre-Arrows + SL/TP)", overlay=true)
// === Inputs ===
rangePeriod = input.int(20, "Lookback Bars for Zone", minval=5)
maxRangePercent = input.float(0.08, "Max Range % for Consolidation", step=0.01)
tpMultiplier = input.float(1.5, "TP Multiplier")
slMultiplier = input.float(1.0, "SL Multiplier")
// === Consolidation Detection ===
highestPrice = ta.highest(high, rangePeriod)
lowestPrice = ta.lowest(low, rangePeriod)
priceRange = highestPrice - lowestPrice
percentRange = (priceRange / close) * 100
isConsolidation = percentRange < maxRangePercent
// === Zones ===
demandZone = lowestPrice
supplyZone = highestPrice
// === Plot Consolidation Zone Background ===
bgcolor(isConsolidation ? color.new(color.gray, 85) : na)
// === Plot Potential Buy/Sell Levels ===
plot(isConsolidation ? demandZone : na, color=color.green, title="Potential Buy Level", linewidth=2)
plot(isConsolidation ? supplyZone : na, color=color.red, title="Potential Sell Level", linewidth=2)
// === Liquidity Sweep ===
liquidityTakenBelow = low < demandZone
liquidityTakenAbove = high > supplyZone
// === Engulfing Candles ===
bullishEngulfing = close > open and close < open and close > open
bearishEngulfing = close < open and close > open and close < open
// === Break of Structure ===
bosUp = high > ta.highest(high , 5)
bosDown = low < ta.lowest(low , 5)
// === Sniper Entry Conditions ===
buySignal = isConsolidation and liquidityTakenBelow and bullishEngulfing and bosUp
sellSignal = isConsolidation and liquidityTakenAbove and bearishEngulfing and bosDown
// === SL & TP Levels ===
slBuy = demandZone - (priceRange * slMultiplier)
tpBuy = close + (priceRange * tpMultiplier)
slSell = supplyZone + (priceRange * slMultiplier)
tpSell = close - (priceRange * tpMultiplier)
// === PRE-ARROWS (Show Before Breakout) ===
preBuyArrow = isConsolidation ? 1 : na
preSellArrow = isConsolidation ? -1 : na
plotarrow(preBuyArrow, colorup=color.new(color.green, 50), maxheight=20, minheight=20, title="Pre-Buy Arrow")
plotarrow(preSellArrow, colordown=color.new(color.red, 50), maxheight=20, minheight=20, title="Pre-Sell Arrow")
// === SNIPER CONFIRMATION ARROWS ===
buyArrow = buySignal ? 1 : na
sellArrow = sellSignal ? -1 : na
plotarrow(buyArrow, colorup=color.green, maxheight=60, minheight=60, title="Sniper BUY Arrow")
plotarrow(sellArrow, colordown=color.red, maxheight=60, minheight=60, title="Sniper SELL Arrow")
// === BUY SIGNAL ===
if buySignal
label.new(bar_index, low, "BUY SL/TP Added", style=label.style_label_up, color=color.green, textcolor=color.white)
line.new(bar_index, slBuy, bar_index + 5, slBuy, color=color.red, style=line.style_dotted)
line.new(bar_index, tpBuy, bar_index + 5, tpBuy, color=color.green, style=line.style_dotted)
label.new(bar_index, slBuy, "SL", color=color.red, style=label.style_label_down)
label.new(bar_index, tpBuy, "TP", color=color.green, style=label.style_label_up)
// === SELL SIGNAL ===
if sellSignal
label.new(bar_index, high, "SELL SL/TP Added", style=label.style_label_down, color=color.red, textcolor=color.white)
line.new(bar_index, slSell, bar_index + 5, slSell, color=color.red, style=line.style_dotted)
line.new(bar_index, tpSell, bar_index + 5, tpSell, color=color.green, style=line.style_dotted)
label.new(bar_index, slSell, "SL", color=color.red, style=label.style_label_up)
label.new(bar_index, tpSell, "TP", color=color.green, style=label.style_label_down)
// === Alerts ===
alertcondition(buySignal, title="Sniper BUY", message="Sniper BUY setup on XAUUSD")
alertcondition(sellSignal, title="Sniper SELL", message="Sniper SELL setup on XAUUSD")
OANDA:XAUUSD
Prev Day High/Low/CloseAt the beginning of the session previous day High, Low and Close lines are drawn for the whole day session instead of bar by bar.
Simple VP Shape DetectorSimple VP Shape Detector is a lightweight Pine Script tool designed to help traders quickly identify the four major Volume Profile shapes commonly used in orderflow and auction-market theory:
D-Shape (Balanced Profile)
P-Shape (Short-Covering / Buyer-Dominant)
B-Shape (Long-Liquidation / Seller-Dominant)
Thin Profile (Trend Profile)
This indicator uses candle statistics (range, body size, volume distribution approximation, and directional movement) to estimate the underlying shape of the volume profile when the full Volume Profile tool is not available.
✔️ What this indicator does
Analyzes recent bars to estimate volume concentration vs. price movement
Flags possible VP shapes using simple logic
Displays labels above/below candles showing:
“D” → Balanced
“P” → Buyer-heavy
“B” → Seller-heavy
“T” → Trending / Thin profile
Helps traders quickly identify auction conditions
✔️ Why this is useful
Volume Profile tools require premium data or heavy visual processing.
This script provides a simple, fast, CPU-light alternative that still captures the essential behavior of profile shapes.
✔️ How shapes are detected
D-Shape: small directional movement + larger body clustering
P-Shape: strong upward move + volume weighted to upper half
B-Shape: strong downward move + volume weighted to lower half
Thin: long range candles with little internal consolidation
⚠️ Disclaimer
This script is an approximation. It does NOT replace full Volume Profile tools.
It is designed as an educational / supplemental tool for market structure analysis.
High Volume Bars (Improved)Highlights high-volume bars using absolute, delta, or z-score modes.
Shows optional volume bands in a separate pane; barcolor/bgcolor still affect the main chart.
Inputs:
lookback length
stddev multiplier
change vs z-score modes
SMA/EMA smoothing
optional background highlight, and band visibility.
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FxAST Ichi ProSeries Enhanced Full Market Regime EngineFxAST Ichi ProSeries v1.x is a modernized Ichimoku engine that keeps the classic logic but adds a full market regime engine for any market and instrument.”
Multi-timeframe cloud overlay
Oracle long-term baseline
Trend regime classifier (Bull / Bear / Transition / Range)
Chikou & Cloud breakout signals
HTF + Oracle + Trend dashboard
Alert-ready structure for automation
No repainting: all HTF calls use lookahead_off.
1. Core Ichimoku Engine
Code sections:
Input group: Core Ichimoku
Function: ichiCalc()
Variables: tenkan, kijun, spanA, spanB, chikou
What it does
Calculates the classic Ichimoku components:
Tenkan (Conversion Line) – fast Donchian average (convLen)
Kijun (Base Line) – slower Donchian average (baseLen)
Senkou Span A (Span A / Lead1) – (Tenkan + Kijun)/2
Senkou Span B (Span B / Lead2) – Donchian over spanBLen
Chikou – current close shifted back in time (displace)
Everything else in the indicator builds on this engine.
How to use it (trading)
Tenkan vs Kijun = short-term vs medium-term balance.
Tenkan above Kijun = short-term bullish control; below = bearish control.
Span A / B defines the cloud, which represents equilibrium and support/resistance.
Price above cloud = bullish bias; price below cloud = bearish bias.
Graphic
2. Display & Cloud Styling
Code sections:
Input groups: Display Options, Cloud Styling, Lagging Span & Signals
Variables: showTenkan, showKijun, showChikou, showCloud, bullCloudColor, bearCloudColor, cloudLineWidth, laggingColor
Plots: plot(tenkan), plot(kijun), plot(chikou), p1, p2, fill(p1, p2, ...)
What it does
Lets you toggle individual components:
Show/hide Tenkan, Kijun, Chikou, and the cloud.
Customize cloud colors & opacity:
bullCloudColor when Span A > Span B
bearCloudColor when Span A < Span B
Adjust cloud line width for clarity.
How to use it
Turn off components you don’t use (e.g., hide Chikou if you only want cloud + Tenkan/Kijun).
For higher-timeframe or noisy charts, use thicker Kijun & cloud so structure is easier to see.
Graphic
Before
After
3. HTF Cloud Overlay (Multi-Timeframe)
Code sections:
Input group: HTF Cloud Overlay
Vars: showHTFCloud, htfTf, htfAlpha
Logic: request.security(..., ichiCalc(...)) → htfSpanA, htfSpanB
Plots: pHTF1, pHTF2, fill(pHTF1, pHTF2, ...)
What it does
Pulls higher-timeframe Ichimoku cloud (e.g., 1H, 4H, Daily) onto your current chart.
Uses the same Ichimoku settings but aggregates on htfTf.
Plots an extra, semi-transparent cloud ahead of price:
Greenish when HTF Span A > Span B
Reddish when HTF Span B > Span A
How to use it
Trade LTF (e.g., 5m/15m) only in alignment with HTF trend:
HTF cloud bullish + LTF Ichi bullish → look for longs
HTF cloud bearish + LTF Ichi bearish → look for shorts
Treat HTF cloud boundaries as major S/R zones.
Graphic
4. Oracle Module
Code sections:
Input group: Oracle Module
Vars: useOracle, oracleLen, oracleColor, oracleWidth, oracleSlopeLen
Logic: oracleLine = donchian(oracleLen); slope check vs oracleLine
Plot: plot(useOracle ? oracleLine : na, "Oracle", ...)
What it does
Creates a long-term Donchian baseline (default 208 bars).
Uses a simple slope check:
Current Oracle > Oracle oracleSlopeLen bars ago → Oracle Bull
Current Oracle < Oracle oracleSlopeLen bars ago → Oracle Bear
Slope state is also shown in the dashboard (“Bull / Bear / Flat”).
How to use it
Think of Oracle as your macro anchor :
Only take longs when Oracle is sloping up or flat.
Only take shorts when Oracle is sloping down or flat.
Works well combined with HTF cloud:
HTF cloud bullish + Oracle Bull = higher conviction long bias.
Ideal for Gold / Indices swing trades as a trend filter.
Graphic idea
5. Trend Regime Classifier
Code sections:
Input group: Trend Regime Logic
Vars: useTrendRegime, bgTrendOpacity, minTrendScore
Logic:
priceAboveCloud, priceBelowCloud, priceInsideCloud
Tenkan vs Kijun alignment
Cloud bullish/bearish
bullScore / bearScore (0–3)
regime + regimeLabel + regimeColor
Visuals: bgcolor(regimeColor) and optional barcolor() in priceColoring mode.
What it does
Scores the market in three dimensions :
Price vs Cloud
Tenkan vs Kijun
Cloud Direction (Span A vs Span B)
Each condition contributes +1 to either bullScore or bearScore .
Then:
Bull regime when:
bullScore >= minTrendScore and bullScore > bearScore
Price in cloud → “Range”
Everything else → “Transition”
These regimes are shown as:
Background colors:
Teal = Bull
Maroon = Bear
Orange = Range
Silver = Transition
Optional candle recoloring when priceColoring = true.
How to use it
Filters:
Only buy when regime = Bull or Transition and Oracle/HTF agree.
Only sell when regime = Bear or Transition and Oracle/HTF agree.
No trade zone:
When regime = Range (price inside cloud), avoid new entries; wait for break.
Aggressiveness:
Adjust minTrendScore to be stricter (3) or looser (1).
Graphic
6. Signals: Chikou & Cloud Breakout
Code sections :
Logic:
chikouBuySignal = ta.crossover(chikou, close)
chikouSellSignal = ta.crossunder(chikou, close)
cloudBreakUp = priceInsideCloud and priceAboveCloud
cloudBreakDown = priceInsideCloud and priceBelowCloud
What it does
1. Two key signal groups:
Chikou Cross Signals
Buy when Chikou crosses up through price.
Sell when Chikou crosses down through price.
Classic Ichi confirmation idea: Chikou breaking free of price cluster.
2. Cloud Breakout Signals
Long trigger: yesterday inside cloud → today price breaks above cloud.
Short trigger: yesterday inside cloud → today price breaks below cloud.
Captures “equilibrium → expansion” moves.
These are conditions only in this version (no chart shapes yet) but are fully wired for alerts. (Future Updates)
How to use it
Use Chikou signals as confirmation, not standalone entries:
Eg., Bull regime + Oracle Bull + cloud breakout + Chikou Buy.
Use Cloud Breakouts to catch the first impulsive leg after consolidation.
Graphic
7. Alerts (Automation Ready)
[
b]Code sections:
Input group: Alerts
Vars: useAlertTrend, useAlertChikou, useAlertCloudBO
Alert lines like: "FxAST Ichi Bull Trend", "FxAST Ichi Bull Trend", "FxAST Ichi Cloud Break Up"
What it does
Provides ready-made alert hooks for:
Trend regime (Bull / Bear)
Chikou cross buy/sell
Cloud breakout up/down
Each type can be globally toggled on/off via the inputs (helpful if a user only wants one kind).
How to use it
In TradingView: set alerts using “Any alert() function call” on this indicator.
Then filter which ones fire by:
Turning specific alert toggles on/off in input panel, or
Filtering text in your external bot / webhook side.
Example simple workflow ---> Indicator ---> TV Alert ---> Webhook ---> Bot/Broker
8. FxAST Dashboard
Code sections:
Input group: Dashboard
Vars: showDashboard, dashPos, dash, dashInit
Helper: getDashPos() → position.*
Table cells (updated on barstate.islast):
Row 0: Regime + label
Row 1: Oracle status (Bull / Bear / Flat / Off)
Row 2: HTF Cloud (On + TF / Off)
Row 3: Scores (BullScore / BearScore)
What it does
Displays a compact panel with the state of the whole system :
Current Trend Regime (Bull / Bear / Transition / Range)
Oracle slope state
Whether HTF Cloud is active + which timeframe
Raw Bull / Bear scores (0–3 each)
Position can be set: Top Right, Top Left, Bottom Right, Bottom Left.
How to use it
Treat it like a pilot instrument cluster :
Quick glance: “Are my trend, oracle and HTF all aligned?”
Great for streaming / screenshots: everything important is visible in one place without reading the code.
Graphic (lower right of chart )
ATR STRUCTURE
So I can produce this
🟡 START = 662.63 ✳️ ATR ≈ 8.30 pts (0.5 ATR ≈ 4.15 • 1 ATR ≈ 8.30) 🙂📏
ATR bands (numeric)
🔼 START + 0.5 ATR = 662.63 + 4.15 = 666.78 (upper buffer / shelf)
🔼 START + 1 ATR = 662.63 + 8.30 = 670.93 (breakout band)
🔽 START − 0.5 ATR = 662.63 − 4.15 = 658.48 (near support)
🔽 START − 1 ATR = 662.63 − 8.30 = 654.33 (deeper stop zone)
— Priority level ladder (footprint‑first & ATR alignment) — (emoji = confidence • 🔥 = high • ✅ = footprint confirmed • 🟡 = medium)
🔥🟢 PM_LOW / D1 — ~659.95 → 660.50 ✅ (FOOTPRINT CONFIRMED)
Why: repeated 30m+1h absorption (sold‑into then bought up). DEEP confidence. 🧯🔁
🔥🔴 ORBH / U2 cluster — ~663.98 → 665.87 ✅ (FOOTPRINT SUPPLY)
Why: repeated rejections / sell MaxDelta rows on 30m & 1h. Treat as overhead supply / shelf. 🪓📉
🔥🟦 D3 / ORBL corridor — ~658.64 ✅ (TF confluence: 1h+4h MaxDelta)
Why: single‑row institutional sells map here; structural LVN / open‑range low. 🛡️📌
🟡⭐ START / U1 pivot zone — ~662.63 – 662.70 ✅ (session pivot, 1h absorption)
Why: session magnet—use for intraday bias pivot / quick confirms. 👀⚖️
🟡🔥 U4 / U5 upper HVN band — ~666.7 → 669.3 (ATR UPPER)
Why: strong HVN / stop‑run evidence on higher TFs — needs large buy MaxDelta to flip. 🚧🚀
⚪ D5 lower expansion support — ~654.3–656.7 (deeper target if sellers run)
Why: longer‑TF expansion area; lower immediate probability but high impact if hit. ⚠️📉
Double RSI With Color Fill5RSI & 8RSi for intraday. Buy when 5RSI crosses down with 8RSI and Sell if 5RSI crosses above 8RSI.
Quant Master Supertrend [Regime + Z-Score Exits]The Quant Master Supertrend is a professional tool that tells you when to enter, what the market is doing, and when to take profit. It combines three powerful concepts into clear visual signals.
The Three Layers of Protection (The Indicator's Power)
This indicator uses three checks to ensure you only take high-quality trades. Think of these as a 3-step filter:
Core Trend (The Supertrend): Is the price moving up or down? (Green line or Red line).
Market Weather (The Regime Filter): Is the market safe to trade? (Only enter if it's Trending or Volatile).
Institutional Anchor (VWAP Filter): Are large market players supporting your trade? (Only enter if price is on the correct side of the VWAP).
darshakssc SMC Infinity Enginedarshakssc SMC Infinity Engine is an advanced Smart Money Concepts–based tool designed to help traders visually understand institutional price behavior such as liquidity sweeps, displacement moves, and structure breaks — all without repainting.
This script does not predict the future or guarantee outcomes.
Instead, it provides a structured price-action framework to help traders study how markets move during key intraday phases.
🔍 Core Concepts Used
This indicator highlights:
Liquidity Sweeps (equal highs/lows taken out)
Displacement Candles (strong institutional momentum bars)
Break of Structure (BOS) confirmations
Kill Zone Sessions (optional smart-money timing filter)
Higher Time Frame Trend Alignment
Dynamic Entry, Stop Loss, and Target Levels
Internal trade outcome tagging (TP1/TP2/TP3/SL)
These components are widely used in institutional price-action models and can help users understand how liquidity and structure interact throughout the trading day.
📊 What the Indicator Displays
LONG / SHORT signals after confirmed BOS
Entry, SL, TP1, TP2, TP3 mapped directly on the chart
Background highlighting for liquidity sweep zones
A clean dashboard showing:
Current symbol
Current price
Number of setups recognized
TP1/TP2/TP3 stats
SL count
Live win-rate calculation
Last outcome recorded
All visuals are provided for study purposes to help users review how price reacts during key structure shifts.
🧠 How to Use It (Educational Purpose)
This tool is designed as a market research & educational study aid.
You can use it to:
Observe how liquidity sweeps often precede directional moves
Study how displacement confirms institutional intent
Analyze BOS-based structure shifts
Compare HTF trend alignment with LTF execution
Review trade outcomes historically for self-improvement
It can assist in building discipline and consistency when learning SMC-style concepts — without any automation or strategy execution.
⚠️ Important Notes
This script does not repaint.
This is not a trading system, signal generator, or financial advice.
All information is for educational and informational purposes only.
Past performance does not guarantee future results.
Users should always perform their own analysis and risk management.
🛡️ Compliance Disclaimer
This script is provided for educational purposes only.
It does not constitute investment advice, does not guarantee results, and should not be used as the sole basis for any trading decision.
MA 5-10-30-60-90-120 by MMCThis indicator only plots 6 moving average lines:
MA 5, MA 10, MA 30, MA 60, MA 90, MA 120
No ribbon, no fill, no clouds, no arrows, no alerts — completely clean and minimal.
Lines are thin (linewidth = 2) but colors are very bright/neon so they pop even on dark charts.
Two inputs:
MA Type → EMA (default, faster) or SMA (smoother but lags more)
Color Theme → 3 preset themes:
Canlı Kontrast → brightest and most visible (red-orange-yellow-green-blue-purple)
Gökkuşağı → classic rainbow order
Kırmızı-Yeşil → red/orange tones for short-term, green tones for long-term
Change the theme and colors update instantly.
Multi-Timeframe Stochastic (4x) z Podświetlaniem - PawelA script that provides information when most of the stocks are in the overbought or oversold zone.
Multi-Timeframe RSI (4x) z Podświetlaniem - PawełRSI z podświetleniem z różnych tfów z ustawianiem intensywnosci i kolorów.
CCI ±100 Price Deviation with SMA & VWAP Trend ColorIndicator Synopsis: CCI ±100 Price Deviation with SMA & VWAP
Purpose:
This indicator combines trend filtering, momentum smoothing, and dynamic price bands to help identify intraday trading opportunities. It’s designed for:
15-minute chart → trend identification
1–2 minute chart → precise entries based on dynamic bands
Components:
SMA of Typical Price (smaTP)
Smooth average of the current bar’s typical price (hlc3).
Acts as a dynamic midpoint for the ±100 deviation bands.
±100 Deviation Bands
Calculated using a modified CCI formula:
Upper = SMA TP + 0.015 × MAD × 100
Lower = SMA TP - 0.015 × MAD × 100
Works as dynamic support/resistance and potential reversal zones.
SMA of CCI length (scaled to price)
Smooths the CCI momentum signal to the price scale.
Acts as a confirmation filter for trade direction near bands.
Optional toggle and customizable color/line width.
VWAP (Volume Weighted Average Price)
Optional overlay with trend-based coloring:
Price above VWAP → bullish → green
Price below VWAP → bearish → red
Acts as primary trend filter.
How to Use the Indicator
Step 1: Determine Trend (15-minute chart)
Check VWAP trend:
Price > VWAP → bullish trend → only consider long trades
Price < VWAP → bearish trend → only consider short trades
Confirm with SMA TP slope:
Rising SMA → bullish bias
Falling SMA → bearish bias
This ensures you only trade in the direction of the intraday trend.
Crypto Precision Entry v1//@version=5
indicator("Crypto Precision Entry v1", overlay=true)
// === RSI ===
rsiLength = 14
rsi = ta.rsi(close, rsiLength)
rsiBuySignal = ta.crossover(rsi, 30)
// === MACD ===
fast = 12
slow = 26
signal = 9
macd = ta.ema(close, fast) - ta.ema(close, slow)
macdSignal = ta.ema(macd, signal)
macdBuySignal = ta.crossover(macd, macdSignal)
// === VWAP ===
vwapValue = ta.vwap(close)
priceAboveVwap = close > vwapValue
// === BUY CONDITION ===
buyCondition = rsiBuySignal and macdBuySignal and priceAboveVwap
// === PLOT ===
plot(vwapValue, color=color.yellow, title="VWAP")
plotshape(buyCondition, title="BUY", style=shape.labelup,
color=color.green, text="BUY", size=size.large)
// === ALERT ===
alertcondition(buyCondition, title="BUY ALERT",
message="Precision Entry Signal: RSI + MACD + VWAP Confirmed!")
Price Bands ScriptThis Pine Script indicator visually marks customizable percentage bands below the 52-week high of a security, even if historical data is limited.
• It calculates the highest price over the past 365 days or all available daily bars (whichever is less), ensuring compatibility with new or illiquid securities.
• The user can set two band levels as percentages below the 52-week high from the indicator settings.
• These bands are plotted as horizontal lines, and the area between them is shaded for easy visualization.
• The actual 52-week high is also plotted as a reference line.
• This helps traders identify meaningful pullback zones relative to the yearly high and adapt those levels to different strategies or market conditions
