SessionPrepThis indicator is designed for day traders, especially those who follow ICT (Inner Circle Trader) concepts and focus on session-based trading setups.
It automatically marks the key session ranges — including:
• Asian Session: 6:00 PM – 12:00 AM
• London Session: 12:00 AM – 6:00 AM
• New York Session: starting at 9:30 AM (highlighted with a pink vertical line)
Each session’s highs and lows are plotted clearly on the chart, giving traders a quick visual map of liquidity zones, potential breakout areas, and key market reactions. This helps traders identify high-probability areas where price may draw toward or reverse from, following ICT-style logic.
The indicator can also include an optional alarm at the 9:30 AM New York open, helping you stay aware of the most volatile and active trading period of the day.
Whether you’re trading indices, forex, or crypto, this tool provides a clean and ready-to-trade layout each morning — no manual drawing or guesswork needed. It’s especially useful for traders who study session highs/lows, liquidity grabs, and market structure shifts common in ICT-based strategies.
Indicateurs et stratégies
Ricco Bull Market Support BandBull Market Support Band (20W SMA + 21W EMA)
Overview:
The Bull Market Support Band combines the 20-week Simple Moving Average (SMA) and the 21-week Exponential Moving Average (EMA) to form a dynamic support and resistance zone. This concept is widely used in crypto analysis (especially for Bitcoin and Ethereum) to identify bull and bear market phases.
When price trades above the band, it indicates market strength and a potential continuation of a bull market. When price falls below the band, it often signals weakness and the start of a bear phase. When price oscillates within the band, it usually represents consolidation or a transition between trends.
How It Works:
Plots two moving averages: 20-week SMA and 21-week EMA
Shades the area between them to form a visual “support band”
Uses a selectable higher timeframe (weekly by default)
Works on any chart timeframe
Features:
User-selectable calculation timeframe (default: Weekly)
Customizable lengths, colors, and fill opacity
Optional bull/bear/neutral state labels
Built-in alert conditions:
- Price crosses above the band
- Price crosses below the band
- Price crosses either moving average line
On-chart legend showing live SMA and EMA values
Usage Tips:
Best used on higher timeframes (1D, 1W, 1M) for trend confirmation
In uptrends, the band often acts as dynamic support
In downtrends, it becomes resistance
Combine with momentum or volume indicators (e.g., RSI, MACD, OBV)
Works well with 200-day moving average or Fibonacci retracement levels for confluence
Interpretation Guide:
Above Band → Strong uptrend or bull market continuation
Within Band → Transition, consolidation, or neutral zone
Below Band → Downtrend or potential bear market
Credits:
Concept inspired by the original Bull Market Support Band idea popularized in crypto market analysis.
Pine Script v6 implementation by Ricco, designed for clarity, flexibility, and alert functionality.
Smart Money Volume Activity [AlgoAlpha]🟠 OVERVIEW
This tool visualizes how Smart Money and Retail participants behave through lower-timeframe volume analysis. It detects volume spikes far beyond normal activity, classifies them as institutional or retail, and projects those zones as reactive levels. The script updates dynamically with each bar, showing when large players enter while tracking whether those events remain profitable. Each event is drawn as a horizontal line with bubble markers and summarized in a live P/L table comparing Smart Money versus Retail.
🟠 CONCEPTS
The core logic uses Z-score normalization on lower-timeframe volumes (like 5m inside a 1h chart). This lets the script detect statistically extreme bursts of buying or selling activity. It classifies each detected event as:
Smart Money — volume inside the candle body (suggesting hidden accumulation or distribution)
Retail — volume closing at bar extremes (suggesting chase entries or panic exits)
When new events appear, the script plots them as horizontal levels that persist until price interacts again. Each level acts as a potential reaction zone or liquidity footprint. The integrated P/L table then measures which class (Retail or Smart Money) is currently “winning” — comparing cumulative profitable versus losing volume.
🟠 FEATURES
Classifies flows into Smart Money or Retail based on candle-body context.
Displays live P/L comparison table for Smart vs Retail performance.
Alerts for each detected Smart or Retail buy/sell event.
🟠 USAGE
Setup : Add the script to any chart. Set Lower Timeframe Value (e.g., “5” for 5m) smaller than your main chart timeframe. The Period input controls how many bars are analyzed for the Z-score baseline. The Threshold (|Z|) decides how extreme a volume must be to plot a level.
Read the chart : Horizontal lines mark where heavy Smart or Retail volume occurred. Bright bubbles show the strongest events — their size reflects Z-score intensity. The on-chart table updates live: green cells show profitable flows, red cells show losing flows. A dominant green Smart Money row suggests institutions are currently controlling price.
See what others are doing :
Settings that matter : Raising Threshold (|Z|) filters noise, showing only large players. Increasing Period smooths results but reacts slower to new bursts. Use Show = “Both” for full comparison or isolate “Smart Money” / “Retail” to focus on one class.
Futures Floor Pivots — Timeframe Invariant (CT settlement)Daily pivot points with different settlement time options for different futures instruments.
Trader Assistant 2Title
Trader Assistant 2 — Multi‑Timeframe ATR Volatility and Intrabar Range Monitor
Summary
Trader Assistant 2 is a compact, multi‑timeframe dashboard that helps you instantly gauge market conditions across 1m, 5m, 15m, 30m, 1h, and 4h. It blends two ATR‑based views:
- Volatility regime: current ATR vs its baseline (ATR moving average).
- Intrabar range usage: how much of ATR the current bar has already traveled from its open.
Each timeframe is color‑coded by the worst of the two signals, so you see risk and heat at a glance. An optional lead cell summarizes active alerts and lists the timeframes that triggered them.
What you see on the chart
- Single‑row table positioned at the bottom‑right of the chart.
- One cell per enabled timeframe:
- Green (soft): normal conditions
- Orange: elevated risk/volatility
- Red: high/critical risk/volatility
- Text turns white when a warning/critical condition is present
- Optional “alert” cell on the left:
- Yellow when any warning is present
- Red when any critical condition is present
- Message indicates which timeframes fired due to Volatility and/or ATR usage (e.g., “Volatility (5m, 15m) | ATR (1m)”)
How it works (high level)
- Volatility regime: compares current ATR to a smoothed ATR baseline. If the ratio exceeds your Elevated or High thresholds, the timeframe escalates to orange or red.
- Intrabar ATR usage: measures absolute distance from the bar’s open. If the move exceeds your Yellow or Red percentage of ATR, the timeframe escalates accordingly.
- Combined color: the cell shows the highest severity between the two checks.
Mermaid (logic overview)
flowchart LR
A --> B
B --> C
C --> D{Vol Severity(Normal/Elevated/High)}
E --> F
F --> G{ATR Usage Severity(Normal/Yellow/Red)}
D --> H
G --> H
H --> I
H --> J
Inputs and defaults
- Timeframe toggles: 1m, 5m, 15m, 30m, 1h, 4h (enable/disable any mix)
- ATR periods per timeframe (defaults):
- 1m: 60
- 5m: 24
- 15m: 16
- 30m: 14
- 1h: 12
- 4h: 12
- ATR baseline smoothing:
- Moving average period: 20 (used to compare current ATR vs average)
- Volatility thresholds (percent of baseline):
- Elevated: 80%
- High: 120%
- Intrabar ATR usage thresholds:
- Yellow: 50% of ATR
- Red: 75% of ATR
Typical use cases
- Session open scan: Quickly see where heat is building and which timeframes require caution.
- News and high‑impact events: Identify heightened conditions before entering or managing positions.
- Trade filtering: Avoid entries during red conditions or tighten risk; favor normal/green regimes for cleaner structure.
- Risk sizing: Reduce size or switch to passive management when multiple timeframes show elevated/high conditions.
Tips and best practices
- Threshold tuning: Different markets/venues need different percentages. Start with defaults, then adjust to your symbol’s volatility.
- Baseline smoothing: Increase the MA period to reduce noise in the volatility regime.
- Multi‑TF alignment: When higher timeframes turn orange/red, treat lower‑TF signals with extra caution.
- Combine with structure and volume tools for a complete decision framework.
Notes and limitations
- Visual monitor: This is an on‑chart dashboard/visual alert. It does not emit TradingView alert() notifications.
- Multi‑timeframe behavior: Values update according to each source timeframe’s bar closes.
- Strategy‑agnostic: This does not generate buy/sell signals. Use it for context, regime awareness, and risk control.
- Educational only: Not financial advice. Always backtest and validate on your own instruments.
Color legend
- Green: Normal conditions
- Orange: Elevated volatility and/or significant intrabar range usage
- Red: High/critical conditions (exercise caution)
- Yellow alert cell: Warning present in at least one timeframe
- Red alert cell: Critical condition present in at least one timeframe
Quick start
1) Add the indicator to your chart.
2) Enable the timeframes relevant to your trading horizon.
3) Keep defaults or tune ATR periods and thresholds to your symbol.
4) Read the row from left to right: alert cell (if present), then timeframes. Prioritize management when you see orange/red, and be selective with entries during heat.
Liq Levels [KoTa]Liq Levels User Guide
Overview
Liquidation Levels visualizes precomputed long & short liquidation price levels relative to the current market price.
For each enabled leverage level (5×, 10×, 20× …), it draws two horizontal lines and small labels:
Short liquidation line (above price) = price × short_multiplier
Long liquidation line (below price) = price × long_multiplier
You can choose which leverage levels to display, control label formatting, choose whether to use the previous bar’s close (no-repaint), change line style & extension, and toggle label size.
Inputs / Settings (what they do)
Use Previous Close (No Repaint) (useConfirmed)
true: the indicator uses close (previous bar close) as reference. Prevents intrabar repainting — recommended for backtesting and stable signals.
false: uses close (current price) — updates intrabar and will repaint during the bar.
Show Price in Label (showValues)
true shows the numeric price next to the x label (e.g., 5x : 42,952.78), false shows only 5x.
Line Style (styleType) — "dot", "line", "dashed".
Extend Lines (extendType) — "none", "left", "right", "both".
Label Size (labelSize) — "normal", "small", "tiny".
Show 5x / 10x / 20x ... 200x (show_5x, etc.) — which multipliers are drawn.
Other technical details in code:
barOffset = 4: label & short segment are placed 4 bars to the right of current bar (so label appears to the right of the bar).
Numbers are formatted according to syminfo.mintick so labels display the appropriate decimal precision.
The script cleans up previously drawn lines & labels on every bar (deletes old objects, draws fresh ones) — so the chart does not accumulate stale objects.
What the lines represent (interpretation)
Each multiplier is precomputed and represents a liquidation price factor used to estimate where positions would be forcibly closed for a given leverage (based on some margin model).
Short multipliers > 1 → short liquidation prices sit above the reference price.
Long multipliers < 1 → long liquidation prices sit below the reference price.
Important: These multipliers are instrument- and margin-model-dependent. The indicator uses the hard-coded multipliers present in the script. Validate these against your exchange / contract type before relying on them for live position sizing.
Why use this indicator?
Use cases:
Risk awareness — see where concentrated liquidation levels sit relative to price; helps avoid taking positions dangerously close to likely liquidation clusters.
Liquidity / cascade detection — when price approaches a large cluster of liquidation levels, sharp moves and cascades can occur; indicator highlights such zones.
Order placement & risk management — place stops or reduce leverage when price nears your liquidation zone.
Trade context — helps decide whether to scale into or out of a trade if the current price is close to many leverage-level liquidation points.
Quick start — how to use (step-by-step)
Load the indicator on the chart.
Choose Use Previous Close = true if you want non-repainting historical levels; false if you prefer intrabar updating. (Recommended: true for backtesting and strategy creation.)
Enable the leverage levels you care about (e.g., 5×, 10×). Keep the number of enabled levels modest (3–4) to avoid clutter.
Choose line style & extension. If you want persistent lines visible across the chart, use extend = left or both. If you only want ephemeral current-level markers, use none.
Interpretation:
If price is approaching the long liquidation line (below price), it’s a sign long positions could be liquidated if price drops further. Consider tightening stops or reducing leverage for long exposure.
If price is approaching the short liquidation line (above price), short positions risk forced closure; similar risk management applies for shorts.
Example strategy (practical, step-by-step)
This is a risk-aware trend-following example that uses the indicator to avoid entering trades too close to liquidation clusters.
Rules
Timeframe: 15-minute or higher for clarity.
Confirm trend with a 50 EMA:
trendUp = price > EMA50
trendDown = price < EMA50
Entry (Long):
trendUp is true.
Price breaks above a short-term resistance or candle close above EMA20 (confirmation).
Distance requirement: current price must be at least X% (example 3%) above the nearest long liquidation line (i.e., price / nearest_long_liquidation >= 1.03).
Enter with defined stop loss: set SL below the nearest long liquidation line OR at a separate level (whichever is more conservative).
Position sizing: choose leverage & size so distance to liquidation gives you at least Y% equity buffer (e.g., 3–5%).
Exit / Take Profit: use risk/reward rule (e.g., 1:2 R:R), or trail stop using EMA or ATR.
Concrete numeric example (worked):
Suppose Use Previous Close = true and the indicator calculates 5× long liquidation at 95.618967 and 5× short at 110.668360 (example base price = 100).
Computation (for clarity):
5× short: 1.10668360333397 × 100 = 110.668360333397 → label shows ~110.668360
20× long: 0.956189674354271 × 100 = 95.61896743542711 → ~95.618967
Entry rule: if price crosses above EMA20 and price / nearest_long_liquidation >= 1.03 (i.e., price ≥ 95.618967 × 1.03 = 98.487536), then entry allowed. If price = 101, condition satisfied (101 / 95.618967 ≈ 1.056).
Why this helps: only enter when you have a buffer above your potential liquidation line; avoid entering directly on top of people’s liquidation levels.
Advantages
Immediate visual risk map — quickly see where liquidations are concentrated (both long & short).
Configurable & non-repainting option — Use Previous Close reduces intrabar repainting for robust backtesting.
Compact & readable — tiny labels and optional price display minimize chart clutter.
Performance-friendly — script deletes and recreates objects each bar, keeping object counts stable and within limits.
Precision formatting via syminfo.mintick so label decimals match the instrument.
Disadvantages & risks / limitations
Multipliers are fixed in the script — they may not reflect the exact margin/liquidation formula of every exchange / contract. Verify with exchange docs before relying on them for trade sizing.
Repainting risk if Use Previous Close = false (intrabar updates). For backtests and alerts you should set it true.
Not a predictor — liquidation levels are potential pressure zones, not guarantees of price movement. Many other market factors affect price action.
Instrument-specific differences — inverse perpetuals, cross margin vs isolated margin, funding rates and insurance funds may change actual liquidation mechanics — the multipliers may be inaccurate for those.
Chart object limits — TradingView has object limits. Although your script deletes and recreates objects each bar and uses max_* _count, using too many levels + large extend combinations on very low timeframes could impact platform performance.
No automatic per-position calculation — the indicator shows levels relative to current price, not your entry; if you need per-trade liquidation price, you must compute using your entry price and actual margin/leverage settings.
Visualizes common long/short liquidation price levels for several leverage multiples. Use the “Use Previous Close” option for stable, non-repainting levels. Verify multipliers vs your exchange before trading.
Long description to paste (publish page content): include the “Why use”, “How to use”, and “Strategy example” sections above plus a short disclaimer (see below).
Include a safety/legal disclaimer in the description:
This indicator is educational and does not constitute financial advice. Multipliers are precomputed and may not precisely match the liquidation mechanics of every exchange or contract. Backtest and verify on your instruments before trading live.
Final notes & suggestions for improvement
If you want tighter integration with your position data (entry price, leverage, margin type), I can add per-trade liquidation calculation inputs (entry price, leverage, maintenance margin) and draw that liquidation line relative to the instrument.
Trader AssistantDescription of the "Trader Assistant" indicator
Overview
- Trader Assistant is a comprehensive TradingView indicator (Pine Script v5) that combines volatility analysis (ATR), trading volume monitoring, and signal generation to support decision-making.
Core components
1) ATR (Average True Range) calculation
- Uses a custom daily ATR function (Trader-Assistant.pine:86)
- Daily timeframe enforcement via (Trader-Assistant.pine:107), independent of the current chart timeframe
- Configurable ATR length (default 5 bars)
2) ATR exhaustion analysis
- From daily open: how much of the daily ATR the price has moved from the open, as a percentage: (Trader-Assistant.pine:156)
- From daily extremes: percentage of the daily high–low range covered: (Trader-Assistant.pine:159)
3) Trading signals
- Long signal (💪) when ATR exhaustion is below the long threshold (default 30%)
- Short signal (✋) when ATR exhaustion is above the short threshold (default 70%)
- Color coding: green for long, red for short
4) Risk management levels
- From daily Open:
- Maximum: (Trader-Assistant.pine:166)
- Minimum: (Trader-Assistant.pine:167)
- Stop-loss: percentage of daily ATR (default 10%)
- Take-profit: multiple of stop-loss (default 4x)
- Slippage: percentage of stop-loss (default 10%)
- From daily High/Low:
- Maximum: (Trader-Assistant.pine:162)
- Minimum: (Trader-Assistant.pine:163)
- Intra-day granularity via 5-minute ATR: (Trader-Assistant.pine:170) over 30 bars, with corresponding SL/TP/slippage derived from it
5) Volume analysis
- Daily notional volume is built by summing 24 hourly bars: (Trader-Assistant.pine:142)
- Human-friendly K/M/B formatting of numbers
- Liquidity filter: line turns red when volume is below the configurable threshold (default 30M)
- Optional display toggle
Visualization
Table content (bottom-left of the chart), three columns:
- Columns: label, “From Open”, “From High/Low”
- Rows:
- Today’s maximum with ATR: “From Open” vs “From Low”
- Stop-loss: daily ATR vs 5-minute ATR
- Take-profit: daily ATR vs 5-minute ATR
- Slippage: daily ATR vs 5-minute ATR
- Today’s minimum with ATR: “From Open” vs “From High”
- Day volume (optional): value and color-coded sufficiency
- ATR value
- ATR exhaustion: percentage with emoji signal in both columns
Display settings and color cues
- Adjustable font size (0–3)
- Blue for max/min rows
- Green/red for signal rows
- Red for insufficient volume
Configurable inputs
ATR:
- Number of bars for ATR
- Upper/lower deviation limits for outlier handling (as inputs)
- Stop-loss size (% of daily ATR)
- Take-profit multiplier
- Slippage as % of stop-loss
Signals:
- Long threshold (% ATR exhaustion)
- Short threshold (% ATR exhaustion)
Volume:
- Toggle display
- Average period and averaging type (inputs exist; not used in current calculations)
- Minimum day volume threshold (in millions)
Technical notes
- Multi-timeframe aggregation via (Trader-Assistant.pine:107) for daily and 5-minute data
- Tick-accurate formatting with (Trader-Assistant.pine:34) and (Trader-Assistant.pine:37)
- Direct hourly summation for daily volume for simplicity and clarity: (Trader-Assistant.pine:142)
- Table adapts the number of rows based on whether volume is shown
Intended use
- Intraday trading: identify entry timing based on daily ATR exhaustion
- Risk management: automatic SL/TP/slippage calculations
- Trade filtering: ensure sufficient liquidity before acting
- Volatility assessment: track current movement relative to average daily range
Blocks🔍 On-Chain Analytics Overview
This indicator compares key on-chain metrics against their 55-day and 111-day moving averages to evaluate the network’s overall health.
It helps visualize trends in user activity, transaction dynamics, and market valuation to identify potential shifts in market sentiment.
📊 Core Metrics
Active Addresses: The number of unique addresses actively interacting with the network. An increase suggests higher user engagement and network utilization.
New Address Count: The number of newly created wallets. A decline may indicate slowing user adoption or lower retail participation.
Non-zero Balance Addresses: Addresses holding a non-zero balance — a metric of long-term adoption and retention.
Active Supply (1Y): The percentage of supply that has moved within the last year. Lower values imply stronger “HODL” behavior and long-term confidence.
Realized Market Value: Represents the total value of coins based on their last on-chain movement, reflecting the cost basis of holders.
Market Value: The current market capitalization derived from price × circulating supply.
Large Transaction Count / Volume: Measures institutional or whale-level activity. Spikes may indicate accumulation or distribution phases.
90-day NVT (Network Value to Transaction Volume): A valuation metric comparing network value to transaction activity.
High NVT → Overvalued or speculative phase
Low NVT → Undervalued or high on-chain utility
Daily Transaction Count: Indicates on-chain activity levels; rising values often precede bullish momentum.
Transaction Fees (USD): Network demand indicator — rising fees can reflect congestion or growing user activity.
Top Holder Addresses: Tracks concentration among top wallets (e.g., top 0.1%, 0.001%), offering insights into wealth distribution and whale dominance.
⚙️ Delta & Score System
Δ (Delta): Shows deviation from the long-term average (MA-55 / MA-111).
Positive Delta → Metric above historical norm (strength or overheating)
Negative Delta → Metric below historical norm (weakness or cooling)
Score Icons:
✅ = Healthy / Positive trend
⚠️ = Mixed or Neutral signal
🔻 = Caution / Negative trend
🧭 Interpretation
A cluster of green checkmarks (✅) signals robust network fundamentals — often supportive of long-term growth.
A dominance of warnings (⚠️) or red signals (🔻) indicates network slowdowns or profit-taking phases.
50% Fib Trend Cloud + ATR BandsThis indicator plots two structural 50% fibonacci midpoints from recent confirmed 'left/right' swings that form a *cloud* of equilibrium, then adds a rolling 50% fibonacci range midpoint based on a lookback window that's wrapped in ATR bands. Importantly, it solves a specific trading problem:
Structural midpoints (macro context) are powerful but can lag when price escapes prior ranges. Enter rolling 50% fib + ATR ➡️ which restores real-time balance & tolerance (micro context). Together they show where price is balanced structurally, where it’s balanced right now, and how much volatility to tolerate before acting.
➖➖➖
🔑 Why this is different
Most tools either draw a single midpoint (ex., daily 50%) or ATR bands around a moving average. This script fuses dual swing-based 50% midpoints (structure) + a rolling 50% with ATR (flow), so you don’t lose context when price escapes prior ranges. The cloud tells you who’s in control (fast vs. slow structure). The rolling 50% + ATR tells you how far is “too far” now.
➖➖➖
🧠 What it does (at a glance)
🔸Structural Equilibrium × 2 (Fib1/Fib2)
Two independent 50% midpoints formed from swing pivots (configurable Left/Right bars + optional smoothing). Their gap is the Midpoint Cloud = structural “fair value” zone.
🔸Rolling 50% + ATR Bands
A rolling highest/lowest window computes an always-current 50% rolling midpoint plot; ±ATR × length envelopes define a soft value area and over-stretch boundaries.
🔸Actionable Visuals
Optional fill between Fib1/Fib2, labels, and candle-overlay modes to instantly read regime (above both / below both / between).
🔸Smart Defaults
Timeframe-aware presets for L/R pivots & smoothing; full manual overrides available.
➖➖➖
⚙️ Calculations (plain-English)
🔸Pivot midpoints (Fib1 & Fib2):
1) Detect a swing using `Left/Right` bars
2) Take the swing’s high/low → compute 50%
3) (Optional) Smooth the line (SMA) to stabilize on noisy TFs
4) Repeat with a different sensitivity to get two distinct midpoints
🔸Rolling midpoint:
Highest High / Lowest Low over the last *N* bars → (HH + LL) / 2
🔸ATR levels:
`Upper = Rolling50 + ATR × Mult`, `Lower = Rolling50 − ATR × Mult`
(Typical: ATR length 14–21; Multipliers 2.236 for L1, 5.382 for L2)
➖➖➖
🤖 Auto-Configured Presets (with Manual Override)
💡Goal: make the midpoints “just work” on common timeframes while still letting you dial them in.
💡How Auto Presets work
When Auto Presets = ON, the script picks sensible L/R/S (Left bars / Right bars / Smoothing) for Fib Trend 1 and Fib Trend 2 based on chart timeframe.
🔸Fib 1 (fast) emphasizes *micro-structure* for quicker bias shifts.
🔸Fib 2 (slow) emphasizes *macro-structure* for anchor/bias context.
These defaults keep Fib 1 responsive without jitter and Fib 2 stable without lag.
➡️ Turn Auto Presets = OFF to take full control with the manual inputs described below.
➖➖➖
🛠 Manual Fib Midpoint Settings (when Auto = OFF)
💡Each midpoint uses three knobs:
🔸Pivot Left (L): bars to the left that must be lower/higher to qualify a swing
🔸Pivot Right (R): bars to the right that must be lower/higher to confirm the swing
🔸Smoothing (S): SMA period applied to the raw 50% midpoint (stabilizes noise)
5-Minute optimized defaults
🔸Fib Trend 1: `L21 / R5 / S55` → responsive local structure (entries/exits, re-balancing zones)
🔸Fib Trend 2: `L55 / R13 / S89` → broader structure (trend context, anchors/stops)
Timeframe guidance
🔸1m–3m: may feel a touch laggy → consider ~`L13 / R3 / S34`
🔸15m–1h: defaults remain strong → optionally ~`L34 / R8 / S89`
🔸4h+ : increase span for stability → `L89–144 / R13–21 / S144–233`
➡️ Rule of thumb: shorter L/R = faster detection, longer S = smoother line. Tune until Fib 1 captures the “active swing” and Fib 2 captures the “dominant swing” without whipsaw.
➖➖➖
🎛 Inputs (quick reference)
🔸Fib Trend 1/2: Source (High/Low/Close), Left/Right bars, Smoothing length, Show/Hide, Cloud fill toggle
🔸Rolling 50%: Lookback length, Price basis (Wicks/Close/HLC3/OHLC4), Plot scope (Full / Last N / None)
🔸ATR Bands: ATR length, Multipliers (L1/L2), Plot scope, Line width/colors
🔸Overlay & Labels: Candle overlay mode, Label padding/size, 50% centerline toggle, Plot widths
➖➖➖
🖍️ Candle Coloring & Overlay Modes
💡Purpose: make trend instantly visible on the candles and ATR levels.
1) Color Logic (dropdown)
🔸 Fib Midpoints — Colors by position of price vs. Fib 1 & Fib 2
🔸ATR Zones — Colors by which ATR zone price is in relative to the Rolling 50%
➡️ Price Reference: Choose the input used for the decision (Close, HL2, OHLC3, OHLC4).
➡️Tip: Close is crisp; HL2/OHLC variants are smoother.
2) Overlay Style (dropdown)
🔸 None — No visual change to candles
🔸 Bar Color — Uses `barcolor()` to tint built-in candles (this takes into account your Trading View settings, for instance if you have wicks set to white, they will show up as white with this setting)
🔸 PlotCandles — Draws unified custom candles (body, wick, border) with the same color for maximum clarity
💡Practical use
🔸 Pick Fib Midpoints to read structural bias at a glance (above/below/between the cloud).
🔸 Pick ATR Zones to read value vs. stretch around the Rolling 50% (mean-reversion vs. trend extension).
➖➖➖
📘 How to use
A) Trend confirmation
- Strong bullish bias when price holds above both structural mids; strong bearish when below both.
- Use the Rolling 50% + ATR as a dynamic re-entry zone: pullbacks that respect ATR(L1) often continue the prevailing trend.
B) Transition / mean reversion
- Inside the Cloud (between Fib1 & Fib2) treat behavior as neutralization/re-balancing; range tactics tend to outperform momentum plays.
- In ranges, fades near ±ATR around the rolling 50% can mark short-term edges.
C) Breakout context
- When price leaves the Cloud, the Rolling 50% keeps you anchored so price never feels “floating.” A clean hold outside ATR(L1/L2) suggests regime strength; quick re-entries hint at traps.
➖➖➖
🖼 Chart examples
➡️ Each snapshot shows how the Cloud (structure) and the Rolling 50% + ATR (flow) work together.
1) 1-Minute Downtrend – Cloud as Dynamic Ceiling
- The Cloud slopes down; pullbacks repeatedly fail under the Cloud’s underside.
- Rolling 50% (dashed mid) + ATR(L1) act as a reversion band: rallies stall near upper ATR and rotate lower.
2) 15-Minute Persistent Drift – Structure Guides, Flow Times Entries
- Long drift lower with Cloud overhead.
- Consolidations near the rolling mid resolve in the trend direction; ATR bands frame risk on each attempt.
3) 15-Minute Uptrend (BTC) – From Cloud Escape to Value Stair-Step
- After escaping the prior Cloud, rolling 50% + ATR establish a new higher value area.
- Pullbacks into ATR(L1) produce orderly stair-steps; Cloud remains supportive on deeper dips
4) 5-Minute BTC – Pullback to Value then Rotate
- Strong leg up; retrace tags lower ATR band and rotates back toward the rolling mid.
- Labels (Fib1/Fib2) make the structural context explicit for decision-making.
➖➖➖
🧪 Starter presets
- Intraday (5–15m): Fib1 ~ L21/R5 (smooth 5), Fib2 ~ L55/R13 (smooth 9) • Rolling = 55 • ATR = 14 • L1 = 2.5x, L2 = 5.0x
- Scalping: Shorten lookbacks & smoothing; keep ATR multipliers similar, or tighten L1.
- Swing: Lengthen all lookbacks; consider ATR length 21–28.
➖➖➖
🏁Final Word
This script is not just a visual tool, it’s a complete trend and structure framework. Whether you're looking for clean trend alignment, dynamic support/resistance, or early warning signs of a reversal, this system is tuned to help you react with confidence — not hindsight.
Rembember, no single indicator should be used in isolation. For best results, combine it with price action analysis, higher-timeframe context, and complementary tools like trendlines, moving averages etc Use it as part of a well-rounded trading approach to confirm setups — not to define them alone.
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💡Turn logic into clarity. Structure into trades. And uncertainty into confidence.
SWR Label SystemSWR Label System -- Sweep · Wait · Reclaim
The SWR Label System is a visual trading companion built to highlight liquidity events and institutional reactions in real time.
It automatically detects:
• 🌀 Sweep – liquidity grabs beyond recent highs or lows
• 🔁 Reclaim – price closing back across the swept level
• 🔊 Volume Spike – significant surges beyond average activity
When all three align, the script plots 🚀 SWR Long or 🔻 SWR Short labels with default 2:1 risk-to-reward targets for rapid evaluation.
Each label includes Entry, Take Profit, and Stop Loss values (Entry ± 2% / 1% by default).
These defaults are for illustration only -- it’s best to adapt TP / SL levels to recent structure, highs, and lows for precision risk management.
Optional toggles allow you to show or hide sweep, reclaim, and volume markers individually, plus a cooldown feature to reduce signal clutter.
⚠️ Educational use only -- not financial advice. Always confirm structure, volume, and context before trading live funds.
Ajir Sentiment Oscillator (ASO) + Divergence v2.4A combination of different indicators to normalize into 1.
Live Position Sizer V2This is a refined version of my first Position calculator. The first one was getting in the way of the candles on the chart, so I added the ability for the user to position it where they want. I changed the color to gray. I added a "ATR based SL". This position sizer will lock onto the current price. With a SL of your choosing, it will give you real time quantity, and lots. Simply input your account size, risk, where you want your SL, long or short trade. It will spit out the info you need in real time. Like the first version, there is the ability to turn on "Live +R targets".
ICT Suspension Block HTF [Herman]ICT Suspension Block HTF — auto-marking +SB / –SB with MTF
ICT Suspension Block HTF automatically detects and plots Suspension Blocks (SB ) on your chart and optionally pulls them from higher timeframes. It’s built for traders who want precise, visual SB zones with mitigation/entry alerts and a compact stats panel.
What’s a Suspension Block (SB) ?
-A Suspension Block is a body-to-body price imbalance formed by three consecutive candles in the same direction where the bodies create sequential “gaps” (a brief pause in price efficiency).
-Bullish +SB: three bullish candles with body-to-body gaps stepping up.
-Bearish –SB: three bearish candles with body-to-body gaps stepping down.
This script highlights the actionable block zone (between the body levels of the middle candle) and lets you extend it forward for reaction tests.
Note: This tool implements a widely discussed definition of Suspension Blocks for educational/analytical use.
Key features
-Auto detection: Plots +SB/–SB the moment a valid 3-candle structure forms.
-Multi-Timeframe (MTF):
-Current timeframe detection (toggle).
-MTF1 & MTF2 pulls (e.g., 5m and 15m by default) to show HTF SBs directly on your LTF chart.
-Smart de-duplication: Avoids drawing near-identical blocks (tick-aware tolerance).
-Midpoint line (optional): Draws the 50% of the block for refined confluence.
-Forward extension: Choose how far to extend the zone in bars.
Alerts:
-New +SB/–SB formed
-Price enters a block
-Block mitigated
-Stats table: Lightweight panel showing active +SB / –SB counts and average detected gap size.
Theme aware : Light/Dark table themes matched to Herman Trading visuals.
Inputs (quick guide)
-Multi-Timeframe
-Enable Current Timeframe
-Enable MTF1 (timeframe input)
-Enable MTF2 (timeframe input)
Core
-Show Bullish / Bearish
-Show Labels
-Show 50% Midpoint
-Min Gap Size (% of candle body) — filters out weak structures
-Extension Length (bars) — how far to project the zone
-Max Number of Blocks — auto-prunes oldest drawings
-Label Size & Colors
-Alerts
-New Block Formation
-Price Entered Block
-Block Mitigation
-Table
-Show / Position
-Theme (Light / Dark)
How mitigation & entry work
-Entry alert: Fires when price crosses into a block (from outside).
-Mitigation: When price tags the block boundaries (top/bottom), the zone is marked mitigated (faded, no further extension).
-The stats panel updates counts in real time.
Practical tips
-Use HTF SBs (e.g., 15m/1h) on your execution timeframe for higher-quality reaction zones.
-Combine with your existing framework (session timing, liquidity sweeps, iFVG/MSS, etc.).
-Tighten/loosen Min Gap Size to match instrument volatility.
-Keep Max Blocks reasonable for performance on very low timeframes.
Disclaimer
This indicator is for education and analysis. It does not constitute financial advice. Trading involves risk; always do your own research and manage risk appropriately.
WeBull Style DashboardMimics the "Quotes" island on WeBull Desktop Application
Shows Latest price in big numbers
Open Price
High Price
Low Price
Prev. Close
52 Week High
52 Week Low
% Range (Able to be toggled from last close, or open)
Robirop Float & Liquidity Dashboard 3Suomi — tiivistelmä
Taulukko, joka näyttää keskeiset float- ja likviditeettimittarit intrapäivässä ja päivätasolla.
Sisältö: Market Cap, All Shares, Free Float (kpl), Free Float %, Float Rotation (päivän kum. vol / free float), Day Change (% eilisen closesta), Cum Vol (D), Avg Vol, Cum $ Vol (D), Avg $ Vol.
Asetukset: taulukon sijainti, koko ja värit. LoD-kentät voi kytkeä päälle/pois. ADR ja Proj. Vol ovat oletuksena pois.
Huom: Day Change vertaa aina nykyhintaa edellisen regular session -closeen; Market Cap käyttää ensin financial-dataa, muuten (All Shares × daily close).
English — summary
A compact table showing core float & liquidity metrics for intraday and daily context.
Includes: Market Cap, All Shares, Free Float (shares), Free Float %, Float Rotation (day cumulative vol / free float), Day Change (% vs prior close), Cum Vol (D), Avg Vol, Cum $ Vol (D), Avg $ Vol.
Options: table position, size, colors. LoD fields can be toggled on/off. ADR and Projected Volume are OFF by default.
Note: Day Change compares current price to the previous regular-session close; Market Cap uses financial data first, otherwise (All Shares × daily close).
RSI-Price Strength Box (Quant-Stable v4 - corrected sign)This indicator shows Price Sensitivity with RSI Movement
One cushion backward movement① The price breaks through the MA at the body, confirming that it is there.
② After that, a reversal candlestick is confirmed, triggering a sign and alert.
*If the reversal candlestick returns to the MA at the body, no sign or alert will be issued.
*In other words, this is Granville's guideline #2. Or #1.
Camarilla Pivots + 20 EMA StrategyThis is an intraday volatility and trend-following system for commodities like Natural Gas, combining dynamic pivot levels (Camarilla) with a trend filter (20-period EMA) to improve risk-reward and reduce false breakouts.
Core Components
1. Camarilla Pivots:
These are special support and resistance levels (H3, H4, L3, L4) calculated each day based on the previous day's high, low, and close.
The pivots adapt to daily volatility, giving more relevant breakout and bounce zones than static lines.
H4: Aggressive resistance (used for breakout LONG entry)
H3: Moderate resistance/support (used for bounce or stoploss)
L4: Aggressive support (used for breakout SHORT entry)
L3: Moderate support/resistance (used for bounce or stoploss)
2. 20 EMA (Exponential Moving Average):
Plotted on the 30-minute chart, this acts as a trend filter.
If the price is above 20 EMA: Only look for long trades (bullish bias).
If below 20 EMA: Only look for short trades (bearish bias).
How the Strategy Works
Setup (30-Min Chart):
Camarilla pivots for the day are drawn on the chart.
20 EMA is also plotted.
Trade Filter:
Bullish: Trade ONLY if price is above 20 EMA.
Bearish: Trade ONLY if price is below 20 EMA.
Entry:
LONG: Enter when price breaks and closes above the H4 pivot AND is above 20 EMA.
SHORT: Enter when price breaks and closes below the L4 pivot AND is below 20 EMA.
Stop Loss:
LONG: Place stoploss at H3 (the next lower Camarilla resistance).
SHORT: Place stoploss at L3 (the next higher Camarilla support).
Target:
Always set a profit target at 2x the distance (risk) between entry and stoploss (strict R:R 2).
For example, if your entry is at H4 and stoploss at H3, your target is entry + 2*(entry - stoploss).
Alerts & Visuals:
The strategy plots entry arrows, stoploss and target lines for immediate visual reference.
Alerts trigger on breakout signals so you never miss a trade.
Why This Works Well for Natural Gas
Adapts to volatility: The pivots change daily, handling wide-ranging and choppy price moves better than fixed breakouts.
Trend filter: EMA prevents counter-trend whipsaws, only trades with market momentum.
Risk control: Every trade must meet strict risk-reward criteria, so losses are contained and winners can outweigh losers.
Adaptive Volume Delta Map---
📊 Adaptive Volume Delta Map (AVDM)
What is Adaptive Volume Delta Map (AVDM)?
The Adaptive Volume Delta Map (AVDM) is a smart, multi-timeframe indicator that visualizes buy and sell volume imbalances directly on the chart.
It adapts automatically to the best available data resolution (tick, second, minute, or daily), allowing traders to analyze market activity with micro-level precision .
In addition to calculating volume delta (the difference between buying and selling pressure), AVDM can display a Volume Distribution Map — a per-price-level visualization showing how volume is split between buyers and sellers.
Key Features
✅ Adaptive Resolution Selection — Automatically chooses the highest possible data granularity — from tick to daily timeframe.
✅ Volume Delta Visualization — Displays delta candles reflecting the dominance of buyers (green), sellers (red), and delta (orange).
✅ Per-Level Volume Map (optional) — Shows detailed buy/sell volume distribution per price level, grouped by `Ticks Per Row`.
✅ Bid/Ask Classification — When enabled, AVDM uses bid/ask logic to classify trade direction with greater accuracy.
✅ Smart Auto-Disable Protection — Automatically disables volume map if too many price levels (>50) are detected — preventing performance degradation.
Inputs Overview
Use Seconds Resolution — Enables use of second-level data (if your TradingView subscription allows it).
Use Tick Resolution — Enables tick-based analysis for the most detailed view. If available, enable both tick and seconds resolution.
Use Bid/Ask Calculated — Uses bid/ask midpoint logic to classify trades.
Show Volume Distribution — Toggles per-price-level buy/sell volume visualization.
Ticks Per Row — Controls how many ticks are grouped per volume level. Reduce this value for finer detail, or increase it to reduce visual load.
Calculated Bars — Sets how many historical bars the indicator should process. Higher value increases accuracy but may impact performance.
How to Use
1. Add the indicator to your chart.
2. Ensure that your symbol provides volume data (and preferably tick or second-level data).
3. The indicator will automatically select the optimal timeframe for detailed calculation.
4. If your TradingView subscription allows second-level data , enable “Use Seconds Resolution.”
5. If your subscription allows tick-level data , enable both “Use Tick Resolution” and “Use Seconds Resolution.”
6. Adjust the “Calculated Bars” input to set how many historical bars the indicator should process.
7. Observe the Volume Delta Candles :
* Green = Buy pressure dominates
* Red = Sell pressure dominates
8. To see buy/sell clustering by price, enable “Show Volume Distribution.”
9. If the indicator disables the map and shows:
" Volume Distribution disabled: Too many price levels detected (>50). Try decreasing 'Ticks Per Row' or using a lower chart resolution. If you don’t care about the map, just turn off 'Show Volume Distribution'. "
— follow the instructions to reduce chart load.
Notes
* Automatically adapts to your chart’s resolution and data availability.
* If your symbol doesn’t provide volume data, a runtime warning will appear.
* Works best on futures , FX , and crypto instruments with high-frequency volume streams.
Why Traders Love It
AVDM combines adaptive resolution , volume delta analysis , and visual distribution mapping into one clean, efficient tool.
Perfect for traders studying:
* Market microstructure
* Aggressive vs. passive participation
* Volume absorption
* Order flow imbalance zones
* Delta-based divergence signals
Technical Highlights
* Built with Pine Script v6
* Adaptive resolution logic (`security_lower_tf`)
* Smart memory-safe map rendering
* Dynamic bid/ask classification
* Automatic overload protection
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Market Structure Report Library [TradingFinder]🔵 Introduction
Market Structure is one of the most fundamental concepts in Price Action and Smart Money theory. In simple terms, it represents how price moves between highs and lows and reveals which phase of the market cycle we are currently in uptrend, downtrend, or transition.
Each structure in the market is formed by a combination of Breaks of Structure (BoS) and Changes of Character (CHoCH) :
BoS occurs when the market breaks a previous high or low, confirming the continuation of the current trend.
CHoCH occurs when price breaks in the opposite direction for the first time, signaling a potential trend reversal.
Since price movement is inherently fractal, market structure can be analyzed on two distinct levels :
Major / External Structure: represents the dominant macro trend.
Minor / Internal Structure: represents corrective or smaller-scale movements within the larger trend.
🔵 Library Purpose
The “Market Structure Report Library” is designed to automatically detect the current market structure type in real time.
Without drawing or displaying any visuals, it analyzes raw price data and returns a series of logical and textual outputs (Return Values) that describe the current structural state of the market.
It provides the following information :
Trend Type :
External Trend (Major): Up Trend, Down Trend, No Trend
Internal Trend (Minor): Up Trend, Down Trend, No Trend
Structure Type :
BoS : Confirms trend continuation
CHoCH : Indicates a potential trend reversal
Consecutive BoS Counter : Measures trend strength on both Major and Minor levels.
Candle Type : Returns the current candle’s condition(Bullish, Bearish, Doji)
This library is specifically designed for use in Smart Money–based screeners, indicators, and algorithmic strategies.
It can analyze multiple symbols and timeframes simultaneously and return the exact structure type (BoS or CHoCH) and trend direction for each.
🔵 Function Outputs
The function MS() processes the price data and returns seven key outputs,
each representing a distinct structural state of the market. These values can be used in indicators, strategies, or multi-symbol screeners.
🟣 ExternalTrend
Type : string
Description : Represents the direction of the Major (External) market structure.
Possible values :
Up Trend
Down Trend
No Trend
This is determined based on the behavior of Major Pivots (swing highs/lows).
🟣 InternalTrend
Type : string
Description : Represents the direction of the Minor (Internal) market structure.
Possible values :
Up Trend
Down Trend
No Trend
🟣 M_State
Type : string
Description : Specifies the type of the latest Major Structure event.
Possible values :
BoS
CHoCH
🟣 m_State
Type : string
Description : Specifies the type of the latest Minor Structure event.
Possible values :
BoS
CHoCH
🟣 MBoS_Counter
Type : integer
Description : Counts the number of consecutive structural breaks (BoS) in the Major structure.
Useful for evaluating trend strength :
Increasing count: indicates trend continuation.
Reset to zero: typically occurs after a CHoCH.
🟣 mBoS_Counter
Type : integer
Description : Counts the number of consecutive structural breaks in the Minor structure.
Helps analyze the micro structure of the market on lower timeframes.
Higher value : strong internal trend.
Reset : indicates a minor pullback or reversal.
🟣 Candle_Type
Type : string
Description : Represents the type of the current candle.
Possible values :
Bullish
Bearish
Doji
import TFlab/Market_Structure_Report_Library_TradingFinder/1 as MSS
PP = input.int (5 , 'Market Structure Pivot Period' , group = 'Symbol 1' )
= MSS.MS(PP)
