MACD Signals - TradeMaster (Trend & Momentum Filter) 中文簡介
設計理念： 此指標是為了將經典的 MACD 策略「可視化」並「優化」而設計。傳統 MACD 在盤整震盪期容易出現頻繁的黃金交叉（假訊號），導致虧損。本腳本透過整合 OBV (能量潮) 與 TTM Squeeze (擠壓動能) 作為趨勢濾網，只有在動能與量能皆配合的情況下，才會標示為「✅ 有效金叉」。
核心功能與邏輯：
主圖純淨模式 (Clean Overlay)：不顯示雜亂的 MACD 線圖，直接在 K 棒上下方標示買賣訊號，保持圖表乾淨。
MAM 濾網機制 (Smart Filtering)：
OBV 趨勢：確認資金流向是否支持價格上漲。
動能擠壓 (Squeeze)：結合 Bollinger Bands 與 Keltner Channels，避開無方向的盤整區間。
訊號分類：
✅ 有效金叉 (Valid Buy)：MACD 金叉 + 通過 MAM 濾網偵測（高勝率 setup）。
❌ 無效金叉 (Fake Buy)：MACD 金叉，但動能不足或處於盤整（建議觀望）。
🔻 死叉出場 (Sell)：MACD 死叉，提示波段獲利了結或停損。
如何使用：
當出現 綠色標籤 (✅有效) 時，代表趨勢與動能共振，為潛在進場點。
當出現 灰色標籤 (❌無效) 時，代表僅是指標交叉但缺乏動能，建議忽略或謹慎操作。
當出現 紅色標籤 (🔻出場) 時，代表動能轉弱，建議離場。
English Description
Concept: This script is designed to visualize and optimize the classic MACD strategy directly on your main chart. Traditional MACD often generates false signals during consolidation periods. This indicator integrates OBV (On-Balance Volume) and Squeeze Momentum as a trend filter. It only marks a signal as a "✅ Valid Buy" when both momentum and volume confirm the trend.
Key Features & Logic:
Clean Main Chart Overlay: Instead of occupying a bottom pane with lines, this script plots actionable signals directly on the candlesticks, keeping your workspace clean.
MAM Filter Mechanism:
OBV Trend: Confirms if volume flow supports the price action.
Momentum Squeeze: Combines Bollinger Bands and Keltner Channels to filter out choppy, sideways markets.
Signal Classification:
✅ Valid Buy: MACD Golden Cross + Confirmed by MAM Filter (High probability setup).
❌ Fake Buy: MACD Golden Cross without momentum confirmation (Weak signal, usually ignored).
🔻 Sell Signal: MACD Death Cross, suggesting an exit.
How to Use:
Green Label (✅ Valid): Trend and momentum are in resonance. Potential entry.
Gray Label (❌ Fake): Crossover occurred but failed the filter test. Caution advised.
Red Label (🔻 Exit): Momentum is weakening. Suggested exit point.
免責聲明 (Disclaimer)
免責聲明
本腳本僅供教育與技術分析研究使用，不構成任何形式的金融投資建議。
過去的績效不代表未來的表現。
所有的交易訊號僅供參考，使用者應結合自身的風險管理策略（如停損設置）。
作者不對使用此腳本造成的任何盈虧負責。
Disclaimer
This script is for educational and technical analysis purposes only and does not constitute financial advice.
Past performance is not indicative of future results.
All signals are for reference only. Users should always apply their own risk management strategies (e.g., Stop Loss).
The author is not responsible for any trading losses incurred from using this script.
תנודתיות
Wisenode QuantThis indicator uses a combination of DMI, ADX and ATR% to give quick easy visual representation of trend strength, trend direction and price action volatility.
This helps to quickly visually identify market environment for trade execution using quantifiable data.
Direction
Red LED = Bearish Market conditions
Green LED = Bullish Market conditions
Trend (Strength)
Red = 0-20 on the ADX (Ranging)
Green = 20-30 on the ADX (Emerging)
Green = 30-50 on the ADX (Momentum)
Volatility
Uses ATR% on a dynamic scale from top to bottom is low to high intensity. Colour will transition from green to red as the bar moves higher.
Trade Execution
Integration of a custom Murray math values to build entry, stop loss protection and take profit zones.
This is still a working progress to fine tune default settings but can be used for market environment identification for any sort of discretionary trading
Tailwind.(BTC)Imagine the price of Bitcoin is like a person climbing a staircase.
The Steps (Grid): Instead of watching every single price movement, the strategy divides the market into fixed steps. In your configuration, each step measures **3,000 points**. (Examples: 60,000, 63,000, 66,000...).
The Signal: We buy only when the price climbs a full step decisively.
The "Expensive Price" Filter: If the price jumps the step but lands too far away (the candle closes too high), we do not buy. It is like trying to board a train that has already started moving too fast; the risk is too high.
Rigid Exits: The Take Profit (TP) and Stop Loss (SL) are calculated from the edge of the step, not from the specific price where you managed to buy. This preserves the geometric structure of the market.
The Code Logic (Step-by-Step)
A. The Math of the Grid (`math.floor`)
pinescript
level_base = math.floor(close / step_size) * step_size
This is the most important line.
What does it do? It rounds the price down to the nearest multiple of 3,000.
Example: If BTC is at 64,500 and the step size is 3,000:
1. Divide: $64,500 / 3,000 = 21.5$
2. `math.floor` (Floor): Removes the decimals $\rightarrow$ remains $21$.
3. Multiply: $21 * 3,000 = 63,000$.
Result: The code knows that the current "floor" is **63,000**, regardless of whether the price is at 63,001 or 65,999.
B. The Strict Breakout (`strict_cross`)
pinescript
strict_cross = (open < level_base) and (close > level_base)
Most strategies only check if `close > level`. We do things slightly differently:
`open < level_base`: Requires the candle to have "born" *below* the line (e.g., opened at 62,900).
`close > level_base`: Requires the candle to have *finished* above the line (e.g., closed at 63,200).
Why? This avoids entering on gaps (price jumps where the market opens already very high) and confirms that there was real buying power crossing the line.
C. The "Expensive Price" Filter (`max_dist_pct`)
pinescript
limit_price_entry = level_base + (step_size * (max_dist_pct / 100.0))
price_is_valid = close <= limit_price_entry
Here you apply the percentage rule:
-If the level is 63,000 and the next is 66,000 (a difference of 3,000).
-If `max_dist_pct` is **60%**, the limit is $63,000 + (60\% \text{ of } 3,000) = 64,800$.
-If the breakout candle closes at **65,000**, the variable `price_is_valid` will be **false** and it will not enter the trade. This avoids buying at the ceiling.
D. TP and SL Calculation (Anchored to the Level)
pinescript
take_profit = level_base + (step_size * tp_mult)
stop_loss = level_base - (step_size * sl_mult)
Note that we use `level_base` and not `close`.
-If you entered because the price broke 63,000, your SL is calculated starting from 63,000.
-If your SL is 1.0x, your stop will be exactly at 60,000.
This is crucial: If you bought "expensive" (e.g., at 63,500), your real stop is wider (3,500 points) than if you bought cheap (63,100). Because you filter out expensive entries, you protect your Risk/Reward ratio.
E. Visual Management (`var line`)
The code uses `var` variables to remember the TP and SL lines and the `line.set_x2` function to stretch them to the right while the operation remains open, providing that visual reference on the chart until the trade ends.
Workflow Summary
Strategy Parameters:
Total Capital: $20,000
We will use 10% of total capital per trade.
Commissions: 0.1% per trade.
TP: 1.4
SL: 1
Step Size (Grid): 3,000
We use the 200 EMA as a trend filter.
Feel free to experiment with the parameters to your liking. Cheers.
SMI Trigger System - Lower - NPR21/ChatGPTSMI Trigger System (Lower) — Buy Low / Hrugu (Modified)
This indicator is a modified version of the original SMI Trigger System created by Buy Low, with later enhancements by Hrugu, published with permission.
The script is a lower-pane Smoothed Stochastic Momentum Index (SMI) designed to deliver clear, visually intuitive momentum signals without unnecessary clutter. This version focuses exclusively on SMI behavior and removes auxiliary indicators to keep signals clean, readable, and consistent across timeframes.
Key Features
Smoothed SMI line with dynamic color changes based on momentum direction
Raw SMI line for additional reference
Zero-line split cloud shading for quick bullish/bearish momentum identification
Upper and lower SMI reference levels for overbought/oversold context
Exact-bar SMI color-flip triangle markers for immediate visual confirmation
Adjustable triangle size and offset so markers do not overlap the SMI line
Fully customizable colors for:
Zero line
Smoothed SMI (up/down)
Raw SMI
Cloud above and below zero
Upper and lower SMI levels
How to Use
This indicator is designed to highlight momentum shifts, not to predict price. It works best when combined with price structure, trend context, or higher-timeframe bias.
1. SMI Line & Color Changes
The smoothed SMI line changes color based on momentum direction:
Up color → momentum strengthening
Down color → momentum weakening
A color change often signals a potential momentum shift.
2. SMI Color-Flip Triangles
Green ▲ triangle below the SMI
Appears when the smoothed SMI turns upward (bearish → bullish momentum).
Red ▼ triangle above the SMI
Appears when the smoothed SMI turns downward (bullish → bearish momentum).
Triangles are plotted on the same bar the SMI changes color and are offset so they do not overlap the SMI line.
These markers are intended as visual confirmations, not standalone trade signals.
3. Zero Line & Cloud
The zero line separates bullish and bearish momentum regimes.
Cloud above zero → bullish momentum bias
Cloud below zero → bearish momentum bias
Stronger signals often occur when SMI flips in the direction of the cloud.
4. Upper & Lower SMI Levels
Upper and lower reference levels help identify extended momentum.
Momentum flips near or beyond these levels may indicate:
Exhaustion
Potential pullbacks
Trend continuation setups when aligned with higher-timeframe direction
5. Best Practices
Use this indicator as a confirmation tool, not a prediction tool.
Combine with:
Market structure
Support and resistance
Trend direction
Volume or price action
Works well on tick charts, intraday timeframes, and higher-timeframe analysis.
Additional Notes
Triangles do not repaint
All visual elements are user-configurable
No ADX or Awesome Oscillator components
Designed for clarity, speed, and ease of interpretation
This script is intended for analytical and educational purposes only and does not constitute trading advice.
SMI Trigger System SMI Trigger System (Lower) — Buy Low / Hrugu (Modified)
This indicator is a modified version of the original SMI Trigger System created by Buy Low, with later enhancements by Hrugu, published with permission.
The script is a lower-pane Smoothed Stochastic Momentum Index (SMI) designed to deliver clear, visually intuitive momentum signals without unnecessary clutter. This version focuses exclusively on SMI behavior and removes auxiliary indicators to keep signals clean, readable, and consistent across timeframes.
Key Features
Smoothed SMI line with dynamic color changes based on momentum direction
Raw SMI line for additional reference
Zero-line split cloud shading for quick bullish/bearish momentum identification
Upper and lower SMI reference levels for overbought/oversold context
Exact-bar SMI color-flip triangle markers for immediate visual confirmation
Adjustable triangle size and offset so markers do not overlap the SMI line
Fully customizable colors for:
Zero line
Smoothed SMI (up/down)
Raw SMI
Cloud above and below zero
Upper and lower SMI levels
How to Use
This indicator is designed to highlight momentum shifts, not to predict price. It works best when combined with price structure, trend context, or higher-timeframe bias.
1. SMI Line & Color Changes
The smoothed SMI line changes color based on momentum direction:
Up color → momentum strengthening
Down color → momentum weakening
A color change often signals a potential momentum shift.
2. SMI Color-Flip Triangles
Green ▲ triangle below the SMI
Appears when the smoothed SMI turns upward (bearish → bullish momentum).
Red ▼ triangle above the SMI
Appears when the smoothed SMI turns downward (bullish → bearish momentum).
Triangles are plotted on the same bar the SMI changes color and are offset so they do not overlap the SMI line.
These markers are intended as visual confirmations, not standalone trade signals.
3. Zero Line & Cloud
The zero line separates bullish and bearish momentum regimes.
Cloud above zero → bullish momentum bias
Cloud below zero → bearish momentum bias
Stronger signals often occur when SMI flips in the direction of the cloud.
4. Upper & Lower SMI Levels
Upper and lower reference levels help identify extended momentum.
Momentum flips near or beyond these levels may indicate:
Exhaustion
Potential pullbacks
Trend continuation setups when aligned with higher-timeframe direction
5. Best Practices
Use this indicator as a confirmation tool, not a prediction tool.
Combine with:
Market structure
Support and resistance
Trend direction
Volume or price action
Works well on tick charts, intraday timeframes, and higher-timeframe analysis.
Additional Notes
Triangles do not repaint
All visual elements are user-configurable
No ADX or Awesome Oscillator components
Designed for clarity, speed, and ease of interpretation
This script is intended for analytical and educational purposes only and does not constitute trading advice.
Daily Dynamic Grid StrategyHi everyone,
This strategy is built around a dynamic daily grid concept, using an upper and lower daily range that is automatically divided into multiple grid levels.
The idea is to take advantage of daily volatility by executing DCA entries on specific grid levels, based on predefined conditions.
Key points of the strategy & feature:
I recommend using 1H or 2H timeframe for this strategy
Take profit by grid
When DCA is active (>1 entry), the exit condition switches to close above the average price
A hard stop loss is applied
Includes an optional Trailing TP / SL to help maximize profit during strong moves
Like most DCA-based strategies, it tends to have a high win rate, but during strong market dumps, losses can become relatively large
Can also be used for backtest on Forex markets such as Gold, where using the trailing option is generally more effective
And still trial for the webhook, may continue to improve and update this strategy in future versions.
NY Session Range & FlowNY Session Range & Flow is a rule-based intraday futures indicator designed for the New York session, with a focus on MNQ / NQ price behavior.
This indicator does not predict the market. Instead, it maps context, structure, and flow so traders can make disciplined decisions with predefined risk.
🔍 Core Concepts
NY Session Range & Flow combines:
Session structure
Range usage (ADR / AWR)
VWAP positioning & slope
Liquidity sweeps
Supply & Demand zones
Opening Range Breakouts
Mean reversion vs trend continuation logic
All signals are graded and throttled to reduce noise and overtrading.
📌 What the Indicator Shows
🕒 Session Logic (NY Time)
RTH (09:30–16:00 NY)
Trade windows (AM / PM)
Opening Range (09:30–09:45)
ETH session ranges (for context only)
📊 Range & Regime Awareness
ADR / AWR usage
Identifies expansion vs exhaustion
Helps avoid trading when range is already spent
📉 Flow & Bias
VWAP with optional ATR bands
VWAP slope filter for directional bias
Mean reversion distance rules
🧲 Liquidity & Structure
Prior Day High / Low
NY High / Low / Mid
Opening Range High / Low
Liquidity sweep detection
📦 Supply & Demand Zones
Higher-timeframe pivot-based zones
ATR-adjusted zone thickness
Last active zone tracking
🎯 Signal Types (Graded)
Trend Continuation
Sweep Reversal
Opening Range Breakout (ORB)
Mean Reversion to VWAP
Each signal is scored and graded (A+ → C) based on:
Structure
Liquidity
VWAP alignment
Regime context
Only signals that meet your selected quality threshold are displayed.
⚖️ Risk Visualization
Fixed Stop Loss & Take Profits in ticks
Supports SL + TP1 + TP2
Optional ATR trailing structure
Visual SL/TP lines for clarity (manual execution)
This is a decision-support tool, not an auto-trading system.
📋 Range Usage Table
Displays real-time usage for:
RTH
ETH
Weekly
Monthly ranges
Color-coded to highlight expansion and exhaustion.
⚠️ Important Notes
Designed for manual trading
Best suited for futures traders
Optimized for MNQ / NQ, but adaptable
Not financial advice
🔧 Recommended Use
Combine with strict risk management
One trade at a time
Respect session context and range limits
CT Market Fragility & Systemic Risk Monitor v1.0CT ⊕ Market Fragility & Systemic Risk Monitor v1.0
Systemic Stress & Market Regime Monitor
OVERVIEW
Wall Street-grade structural monitoring now open-source.
CT ⊕ Market Fragility & Systemic Risk Monitor v1.0 is a real-time systemic risk tool designed to detect fragility before it hits price. Built by former institutional traders, it delivers structural insight typically reserved for desks inside hedge funds and global macro desks.
This isn’t about finding entries or exits, it’s about understanding the environment you're trading in, and recognizing when it's shifting.
WHAT IT DOES
• Monitors six key market domains: Equities, Rates/Credit, FX (USD stress), Commodities, Crypto, and Macro
• Detects volatility stress, cross-domain coupling, and regime synchronization
• Classifies market structure into Normal → Fragile → Critical
• Shows a live dashboard with scores, coupling levels, and structural state
• Plots event markers (T1, T2, T3) for structural transitions
• Implements hysteresis logic to model post-stress 'memory
• Supports both single-domain ("Local Mode") and system-wide monitoring
HOW IT WORKS
This engine does not rely on traditional TA. No moving averages. No MACD. No patterns. No guesswork.
Instead, it measures how markets are behaving beneath price detecting when stress is:
• Building internally
• Spreading across domains
• Synchronizing into systemic fragility
T1 (🟠) — Early instability: acceleration in market coupling
T2 (🔵) — Fragile regime: multiple domains simultaneously stressed
T3 (🔴) — Critical regime: synchronized, system-wide stress
These are not buy/sell signals. They are structural regime alerts, the same kind used by institutions to cut risk before stress cascades.
WHY IT MATTERS
Most retail tools are reactive. They interpret surface-level patterns after the move.
This tool is different. It’s proactive – measuring pressure before it breaks structure.
Institutions have used structural fragility models like this for years. This script helps close that gap, giving everyday traders the same early warnings that pros use to reduce exposure and sidestep systemic blowups.
It’s not about finding the edge.
It’s about not getting crushed when the system breaks.
Whether you trade crypto, stocks, FX, or macro, this engine helps answer:
• Is the system stable right now?
• Are stress levels rising across markets?
• Is it time to tighten risk?
Institutions don’t wait for breakouts. They monitor structure.
Now, you can too.
KEY FEATURES
• Works on any asset class and any timeframe
• Fully customizable domain selection
• Three-tier structural alert system (T1–T3)
• Real-time dashboard: stress scores, states, and coupling levels
• Hysteresis modeling: post-stress “memory” detection
• Supports single-domain (local) or multi-domain (systemic) monitoring
• PineScript alerts built-in
RECOMMENDED USE
Active traders - all asset classes
Use the dashboard and T1–T3 alerts to stay aware of structural risk in real time.
Track multi-timeframe alignment to detect where risk originates and how it spreads across markets.
Crypto trader s
Monitor upstream domains (Equities, FX, Rates, Macro) to detect pressure before it reaches crypto.
Identify reflexive stress before Bitcoin reacts — and stay ahead of contagion events.
Macro & systematic traders
Use T1–T3 transitions as volatility filters, exposure governors, or dynamic risk overlays.
Build regime-aware models that adapt to shifting systemic conditions.
Examples & Visuals
Question: Would it have helped to know that at 9:30 on October 9th and again at 10:00 on October 10th that critical states were detected in the structural behavior of Bitcoin? Take a look:
30 min chart BTC shows two distinct T3 (critical) regime detections October 9th and 10:30 October 10th
5m BTC chart reveals high frequency instability for the same period, identifying instability, fragility, criticality
The 30minute BTC chart at 16:30 Friday October 10th,, a few hours after first detecting critical systemic risk
RISK DISCLAIMER
This is a structural analysis tool, not a predictive signal. It does not provide financial advice, trade entries, or forecasts. Use at your own risk. Full disclaimer embedded in the script.
Complexity Trading - From Wall St to Main St
No patterns. No repainting. No mysticism. Just logic, math, science and market structure - now made accessible to everyone.
Developer of LPPL Critical Pulse (LPPLCP), the Temporal Phase Model (TPM) and other
other advanced structural and attractor based systems inspired by Sornette’s LPPL framework and other differentiated thinkers.
Note on Methodology
This tool is not predictive, and not designed for academic publication.
It is a real-time structural monitoring system inspired by academically established concepts,
including LPPL attractor dynamics, cross-asset coupling, reflexivity, and phase regime transitions, implemented within the real-time constraints of PineScript, and intended for visual, exploratory, and diagnostic use.
Hybrid Strategy: Trend/ORB/MTFHybrid Strategy: Trend + ORB + Multi-Timeframe Matrix
This script is a comprehensive "Trading Manager" designed to filter out noise and identify high-probability breakout setups. It combines three powerful concepts into a single, clean chart interface: Trend Alignment, Opening Range Breakout (ORB), and Multi-Timeframe (MTF) Analysis.
It is designed to prevent "analysis paralysis" by providing a unified Dashboard that confirms if the trend is aligned across 5 different timeframes before you take a trade.
How it Works
The strategy relies on the "Golden Trio" of confluence:
1. Trend Definition (The Setup) Before looking for entries, the script analyzes the immediate trend. A bullish trend is defined as:
Price is above the Session VWAP.
The fast EMA (9) is above the slow EMA (21). (The inverse applies for bearish trends).
2. The Signal (The Trigger) The script draws the Opening Range (default: first 15 minutes of the session).
Buy Signal: Price breaks above the Opening Range High while the Trend is Bullish.
Sell Signal: Price breaks below the Opening Range Low while the Trend is Bearish.
3. The Confirmation (The Filter) A signal is only valid if the Higher Timeframe (default: 60m) agrees with the direction. If the 1m chart says "Buy" but the 60m chart is bearish, the signal is filtered out to prevent false breakouts.
Key Features
The Matrix Dashboard A zero-lag, real-time table in the corner of your screen that monitors 5 user-defined timeframes (e.g., 5m, 15m, 30m, 60m, 4H).
Trend: Checks if Price > EMA 21.
VWAP: Checks if Price > VWAP.
ORB: Checks if Price is currently above/below the Opening Range of that session.
D H/L: Warns if price is near the Daily High or Low.
PD H/L: Warns if price is near the Previous Daily High or Low.
Visual Order Blocks The script automatically identifies valid Order Blocks (sequences of consecutive candles followed by a strong explosive move).
Chart: Draws Green/Red zones extending to the right, showing where price may react.
Dashboard: Displays the exact High, Low, and Average price of the most recent Order Blocks for precision planning.
Risk Management (Trailing Stop) Once a trade is active, the script plots Chandelier Exit dots (ATR-based trailing stop) to help you manage the trade and lock in profits during trend runs.
Visual Guide (Chart Legend)
⬜ Gray Box: Represents the Opening Range (first 15 minutes). This is your "No Trade Zone." Wait for price to break out of this box.
🟢 Green Line: The Opening Range High. A break above this line signals potential Bullish momentum.
🔴 Red Line: The Opening Range Low. A break below this line signals potential Bearish momentum.
🟢 Green / 🔴 Red Zones (Boxes): These are Order Blocks.
🟢 Green Zone: A Bullish Order Block (Demand). Expect price to potentially bounce up from here.
🔴 Red Zone: A Bearish Order Block (Supply). Expect price to potentially reject down from here.
⚪ Dots (Trailing Stop):
🟢 Green Dots: These appear below price during a Bullish trend. They represent your suggested Stop Loss.
🔴 Red Dots: These appear above price during a Bearish trend.
🏷️ Buy / Sell Labels:
BUY: Triggers when Price breaks the Green Line + Trend is Bullish + HTF is Bullish.
SELL: Triggers when Price breaks the Red Line + Trend is Bearish + HTF is Bearish.
Settings
Session: Customizable RTH (Regular Trading Hours) to filter out pre-market noise.
Matrix Timeframes: 5 fixed slots to choose which timeframes you want to monitor.
Order Blocks: Adjust the sensitivity and lookback period for Order Block detection.
Risk: Customize the ATR multiplier for the trailing stop.
Disclaimer
This tool is for educational purposes only. Past performance does not guarantee future results. Always manage your risk properly.
SMI Trigger System The SMI Trigger System is a lower-pane momentum indicator based on a Hull-smoothed Stochastic Momentum Index (SMI). It is designed to assist in identifying potential momentum shifts by highlighting signal alignment and level interactions.
This indicator is intended to be used as part of a broader analysis framework. Confluence between trend, structure, and higher-timeframe context defines the setup, while SMI signal behavior may be used for confirmation.
The script can be applied across multiple timeframes and markets. It does not generate trade signals on its own and should be used alongside additional analysis and risk management techniques.
For educational purposes only. Not financial advice.
DCT - Liquidity Heatmap - ProDCT - Liquidity Heatmap - Pro
Overview
This indicator maps liquidity concentration zones by analyzing volume distribution across price levels. It identifies areas where significant trading activity has accumulated, potentially indicating zones of interest for future price interaction.
Methodology
Volume Intensity Calculation
Each price level accumulates a normalized volume score calculated as:
- Volume Intensity = Current Bar Volume / SMA(Volume, lookback period)
- This normalization allows comparison across different volatility regimes and trading sessions
Level Construction
- Price levels are distributed symmetrically above and below current price using percentage-based spacing
- Each level maintains cumulative volume data, tracking both raw volume and normalized intensity
- Levels are visualized as zones with height proportional to the spacing parameter
Sweep Detection Logic
A level is marked as "swept" when price action crosses through it:
- Condition: Low ≤ Level Price AND High ≥ Level Price
- Swept levels stop accumulating new volume and can be styled differently (fade, hide, or preserve)
Color Intensity Grading
Zones are color-coded based on their normalized volume relative to the maximum observed:
- Purple: < 25% of max intensity
- Yellow: 25-50% of max intensity
- Orange: 50-75% of max intensity
- Red: > 75% of max intensity
Optional CVD (Cumulative Volume Delta) Mode
When enabled, directional volume is estimated using candle structure:
- Bullish candles: Buy pressure weighted by (Close - Open) / (High - Low)
- Bearish candles: Sell pressure weighted by (Open - Close) / (High - Low)
- Levels display green/red bias based on accumulated directional volume ratio
Adaptive System
The indicator includes a three-layer adaptive system:
1. Timeframe adaptation: Spacing, level count, and retention automatically adjust for M5 through Daily charts
2. Volatility adaptation: ATR-based adjustments widen spacing during high volatility and tighten during consolidation
3. Market type adaptation: Different imbalance thresholds for BTC/ETH, large altcoins, and small caps
Imbalance Detection
Buy/sell imbalance markers appear when the ratio of accumulated buy volume to sell volume exceeds a configurable threshold (default 1.5x for BTC/ETH, 2.0x for small caps).
What Makes This Implementation Unique
- Dollar-denominated liquidity display: Labels show estimated liquidity in USD (K/M/B format) rather than abstract values
- Three-layer adaptive logic: Combines timeframe, volatility (ATR), and asset-class adjustments simultaneously
- Memory-optimized architecture: Automatic cleanup of old swept levels prevents performance degradation on extended charts
- Forward projection: Active levels extend into future bars for cleaner visualization
- Granular visibility controls: Each intensity tier can be toggled independently
Settings Guide
- Dynamic: Enable adaptive adjustments (recommended)
- Spacing: Distance between levels as % of price
- Levels: Number of levels above/below price
- CVD: Enable directional volume analysis
- Forward: Project levels ahead by specified bars
Usage Notes
- Works on both Perpetual and Spot crypto markets
- Optimized for crypto assets; results may vary on other instruments
- Higher timeframes show broader liquidity structure; lower timeframes show granular detail
- Combine with your own analysis framework
Disclaimer
This indicator visualizes historical volume distribution and does not predict future price movement. Not financial advice. Use appropriate risk management.
Opening Range Intraday IndicatorOpening Range Intraday Indicator
Summary
The Opening Range Intraday Indicator is a decision-support tool for intraday breakout entries. It combines an Opening Range Breakout (ORB) model with relative volume confirmation and a squeeze-style trend filter, then visualizes entries with clearly defined take-profit (TP) and stop-loss (SL) levels.
The indicator works on any ticker and any timeframe. However, its default parameters and internal logic are optimized for TSLA on the 15-minute chart, which is shown as a recommended context in the on-chart table for informational purposes only.
Core Logic
Opening Range Breakout
Establishes an opening range during the early session and monitors for confirmed breakouts above or below that range to generate potential intraday entries.
Relative Volume confirmation
Breakouts are validated using relative volume to help ensure participation and reduce low-quality signals during thin or inactive periods.
Squeeze / trend filter
A squeeze-style metric evaluates recent compression and directional behavior, helping to avoid entries during unfavorable or low-quality structural conditions.
Entry Visualization & Risk Levels
When a valid entry is confirmed, the indicator automatically:
Plots directional entry markers
Calculates and draws multiple take-profit levels
Draws a stop-loss level based on opening-range structure or ATR logic
Marks TP or SL hits directly on the chart for visual review
These visuals persist on the chart to allow traders to manually review trade structure and outcome over time.
On-Chart Table & Context Guidance
The indicator includes a compact on-chart table that displays:
Current squeeze value and short-term trend behavior
“No trade” conditions when structure is unfavorable
A recommended context message indicating whether the chart matches the optimized setup (TSLA on the 15-minute timeframe)
This message is informational only and does not restrict signals or functionality on other symbols or timeframes.
Flexibility & Controls
Users can customize:
Take-profit and stop-loss display behavior
Tight or standard stop-loss logic
Quiet windows near session close to suppress alerts
Visual settings and table positioning
This allows the indicator to be adapted to different instruments, volatility profiles, and execution styles.
Important Notes
This indicator does not execute trades and does not include automated backtesting or performance statistics.
TP/SL markers are visual aids only and are intended for manual review, not statistical validation.
Results will vary by symbol, timeframe, execution, and market conditions.
This indicator is intended as a research and decision-support tool for experienced intraday traders who understand execution risk, volatility, and position sizing. It should be used alongside proper risk management and independent analysis.
0DTE Credit Spreads Indicator0DTE Credit Spreads Indicator
This indicator is designed to assist 0DTE credit spread traders by providing rule-based PCS (Put Credit Spread) and CCS (Call Credit Spread) signals, dynamic risk levels, and an integrated performance summary — all within a single, cohesive tool.
What the indicator does
The script implements a complete intraday framework tailored specifically to same-day expiration credit spreads, combining market structure, volatility context, and trade management logic into one workflow:
Opening Range logic (15-minute)
A defined opening range is used to establish directional bias. Signals are generated only after the range is confirmed, aligning entries with controlled intraday structure rather than momentum chasing.
Optional Early Entry logic
An optional early-entry mechanism evaluates 30-minute RSI extremes during the opening phase only. This is intentionally constrained to the opening window and designed for early premium capture scenarios common in 0DTE trading.
Volatility-aware credit estimation
Expected credit is derived from current volatility conditions to provide realistic assumptions for backtesting, trade visualization, and partial-profit modeling.
Dynamic risk visualization
Each signal automatically plots:
A horizontal stop-loss level
A take-profit level based on user-selected credit percentage
A dynamic diagonal stop line from entry to end-of-day, modeling time-based risk specific to 0DTE positions
Partial profit and contract modeling
The backtest logic supports closing a user-defined number of contracts at the take-profit level, while allowing remaining contracts to run to end-of-day or stop loss. This mirrors real-world 0DTE trade management practices.
Flexible evaluation modes
Trades can be evaluated using either:
Intraday stop-loss crosses, or
End-of-day outcome logic
allowing users to align results with their execution style.
Backtesting and transparency
The indicator includes a live, on-chart backtest table displaying:
PCS and CCS signal counts
Wins, losses, and win rate
Total P/L (points or dollar-based per contract)
Contract and partial-TP configuration
A non-blocking “Recommended context” note indicating whether the script is running on the preferred symbol and timeframe
Signals and visuals will display on any chart. The recommended context is informational only and does not restrict usage.
Chart presentation
Full visual mode with labels, TP/SL levels, and diagonal risk lines
Clean Chart mode with arrow-only signals and a compact summary table
Automatic object management to prevent chart clutter.
Intended use
This indicator is intended as a decision-support and research tool for experienced traders. It does not place trades, does not guarantee profitability, and should be used alongside proper risk management.
Session HeatmapIntraday Seasonality
Overview
Analyzes historical patterns by time of day. Identifies when volatility, volume, and open interest changes tend to be highest or lowest.
Features
Multiple Metrics: TR (volatility), Volume, and Open Interest changes
Flexible Grouping: View patterns by weekday or month to spot day-of-week or seasonal effects
Heatmap Visualization: Blue (low) to Red (high) color scale for quick pattern recognition
Percentile Mode: Reduces outlier impact by using 5th-95th percentile range
Timezone Support: Display in UTC alongside your local time
Metrics Explained
TR: Volatility - when markets move most
Volume: Liquidity - when participation is highest
OI Increase: When new positions are opened
OI Decrease: When positions are closed
OI Net: Net open interest change
Usage
Set your timezone and preferred slot size (30min/1H)
Choose a date range (relative or custom)
Select a metric to analyze
Use "Group By" to see weekday or monthly patterns
Switch to Percentile color scale if outliers dominate
Notes
Chart timeframe should be equal to or smaller than Slot Size
OI metrics require Binance Perpetual symbols
DST is not automatically adjusted; consider seasonal shifts for US/EU sessions
Pulsar Heatmap CVD/OBV [by Oberlunar]Pulsar Heatmap CVD/OBV by Oberlunar is a non-repainting order-flow-like indicator designed to support fast, practical decisions—especially for day trading and scalping. It blends OBV and CVD into a structured heatmap with three lanes (OBV, CVD, and a blended COMBO) and splits each lane into two halves: flow pressure and price reaction (PriceΔ) . All values are normalised into the same range, so the intensity of each component is easy to compare at a glance.
In a simple sense, Pulsar Heatmap aims to provide a clean, integrated order-flow view: one framework that turns well-known volume concepts into a clearer read of market pressure and response. Personally, it feels like the kind of tool I would have always wanted on my chart, because it brings familiar information together into a more organic picture that is easier to use in real time.
Visually, the indicator is built around three main elements: the heatmap lanes , a pulsing triangle HUD , and a timed dashboard table . Under the hood, it follows a clear hierarchy: a Bias layer (directional context with a confidence percentage), a strict Signal layer (triggered only when full alignment occurs, with optional confirmation and stickiness), and optional timing logic based on ROC + Acceleration to validate impulses and highlight potential Exhaustion or Absorption regimes. With the option "Safe Mode" enabled, calculations update only on confirmed bars, so signals remain stable and do not repaint.
Optionally, the script can also print signal arrows/labels on the main chart only when a real Signal triggers (not when you only have Bias). To keep the chart clean, the same-direction label is not repeated unless the next signal appears at a more advantageous price than the previous one (for shorts: a higher price; for longs: a lower price). If the direction flips (SHORT → LONG or LONG → SHORT), label printing is re-enabled immediately.
What makes Pulsar Heatmap feel different is that it doesn’t leave you with two separate lines and a lot of guesswork. It organises the information into a readable decision map: pressure , response , agreement , disagreement , impulse , and timing . It was built with scalping in mind, but it’s not limited to scalping: the structure is useful whenever you want context first, and a strict trigger only when alignment is truly present.
Clean Trend Alignment (Ideal Continuation)
A “best case” scenario where flow and price response agree across lanes, so the system produces a high-confidence direction and a clean trigger. Show the heatmap with consistent colouring, the Bias band strong, and a confirmed signal/bias.
Setup 1 — Long Signal (Clean Alignment + Impulse)
In this example, Pulsar Heatmap transitions into a clear long setup when the system prints a LONG SIGNAL . The key idea is simple: the indicator does not enter on “bias” alone. It waits for full alignment across the internal lanes, optionally reinforced by the ROC/Acceleration impulse layer, and only then does it confirm a signal on a closed bar (Safe Mode).
What to highlight on the screenshot
The LONG SIGNAL label: this is the only moment the setup is considered “triggered”.
The LONG BIAS % label: this is context (direction + confidence), not the trigger.
The Triangle HUD : it visually summarises which component is driving the move (OBV/CVD/COMBO weight).
The Timed Table : show that Exhaustion is OFF while impulse metrics are supportive ( dynROC U and dynACC U positive).
If present, the Absorption state (e.g., ABS_LONG + “tight range”): it often appears during compression before expansion, and it adds context to why the breakout can accelerate.
How to read this long setup
Context : Bias is long (even if the % is not huge yet), and the system is not showing exhaustion.
Trigger : A LONG SIGNAL appears only after full alignment (with confirmation bars). If dynamic gating is enabled, the signal is valid only when the impulse agrees.
Quality checks : Positive dynROC and dynACC support the timing; absence of exhaustion reduces the risk of “late entry”. Absorption/tight range can indicate a “pressure build-up” phase.
Practical scalping execution (simple rule set)
Entry timing: consider the entry only on (or immediately after) the confirmed LONG SIGNAL candle.
Risk idea: invalidate the setup if the signal flips, or if price falls back into the compression/range that preceded the move (common absorption-breakout logic).
Exit clue: if Exhaustion turns ON or impulse weakens (acceleration flips), treat it as a warning to reduce exposure or take profit.
Setup 2 — Short Signal After Compression (Absorption → Release)
In this screenshot the short trade idea is not coming from “red candles” alone, but from a very specific sequence: the heatmap shows a shift into bearish alignment, the system prints a SHORT SIGNAL , and the timed module confirms that the market was in a tight range while sell pressure started to dominate.
What this image is really showing
You have a SHORT SIGNAL label on the chart: this is the trigger moment (not the bias).
The context reads SHORT BIAS 18% : it’s supportive, but the execution decision is driven by the signal.
The table shows Absorption = SHORT with a tight range (Range % is low): this often means price was compressed while one side kept applying pressure.
dyn metrics are negative ( dynROC U < 0 and dynACC U < 0): the impulse is coherent with the short direction, so the move is not just “random drift.”
How to read the heatmap here
Earlier, the lanes are mixed (more “two-sided”), then near the signal, the heatmap becomes decisively bearish. That change matters: it tells you the market stopped being balanced and started leaning in one direction with better internal coherence.
Why is this short “high quality” in scalping terms
Compression first : absorption/tight range means the market was storing energy.
Alignment next : the signal appears when the internal lanes agree.
Impulse last : negative ROC + negative acceleration support a real downside push, reducing the odds of a weak, slow fade.
Simple ensure-you-don’t-overtrade rule
Treat the SHORT SIGNAL as the only “go” moment. If you only see bias without signal, or the heatmap stays mixed/disagreeing, it’s usually a lower-quality scalp environment.
Disagreement Zone (Mixed Votes, Higher Risk) — A Practical Exit Area
In this screenshot, Pulsar Heatmap is clearly warning that the market is no longer “one-sided”. You can still see a directional context ( SHORT BIAS 11% ), but the key message is the DISAGREE tag: the reminder that the internal votes are split and the flow/price components are no longer moving in a clean, coherent way.
What this means in a trend continuation is very practical: a Disagreement Zone is often a good EXIT area . When you are already in a short trend, this is the moment where continuation becomes less reliable and where the market can start rotating, stalling, or snapping back.
Why it works as an exit trigger
In a healthy continuation, the lanes tend to stay aligned. Here they don’t: one or more halves contradict the dominant direction.
That loss of coherence typically shows up before the chart becomes obvious, so it can act as an early warning.
For scalping, this is where risk/reward often deteriorates: spreads, noise, and whipsaws increase exactly when the indicator starts disagreeing.
How to use it in a simple way
If you are already short , treat DISAGREE as a signal to take profit, tighten the stop, or scale out .
Avoid adding to the position inside disagreement: even if bias remains short, the internal structure is not “clean” enough to justify aggressive continuation entries.
If later the heatmap returns to full alignment and a new SHORT SIGNAL appears (ideally at a better price), then the continuation becomes actionable again.
“DISAGREE during a short continuation: coherence breaks down. In practice, this is often an exit/scale-out zone, not a fresh entry zone.”
Setup 3 — Neutral State (Stand-By Zone, No Trade Yet)
In the following screenshot, Pulsar Heatmap is doing something very important: it is clearly saying NEUTRAL 0% . Even if, visually, price could “look” like it might resume upward, the indicator is not providing a directional edge yet. This is a classic stand-by condition: the market is transitioning, and the internal components are not aligned enough to justify a directional scalp.
“Neutral 0%: mixed votes and no dominant driver. Even if the price looks promising, Pulsar stays in stand-by until bias rebuilds and a confirmed signal appears.”
What to highlight on the screenshot
The centre label NEUTRAL 0% : this is the key message—no bias strength worth following.
The heatmap is mixed/transitioning: lanes are not consistently one colour, meaning votes are not coherent.
The triangle HUD sits close to the centre: it visually reflects “no dominant driver” right now.
The table can still show background context (e.g., Absorption with a tight range), but that does not override neutrality: it’s information, not a trigger.
How to interpret “Neutral” in practice
When the indicator is neutral, it means the system sees a balance between pressure and reaction (or conflicting components), so direction is statistically less reliable. In scalping terms, this is usually where spreads and noise can eat you alive if you force entries.
Why this is still useful (even without a trade)
Neutral is not “nothing”—it is a filter. It prevents you from trading when the signal quality is low, and it forces the workflow to be clean: wait for Bias to build, then wait for a confirmed Signal , and only then treat it as a real setup.
What you wait for next
If the market turns bullish again, you want to see heatmap alignment returning and eventually a confirmed LONG SIGNAL —however, in the following examples, the heatmap does not follow the trade completely (unlike the previous generated long signal). Thus, a long entry is very risky.
If the market rolls over, you want the opposite: bearish alignment and a confirmed SHORT SIGNAL . Until one of these happens, Neutral = stand-by .
Setup 4 — Impulse + Exhaustion (Late-Stage Move, Don’t Chase)
In this screenshot, you’re basically seeing a “timing warning” configuration. Price prints a sharp bearish extension, but Pulsar Heatmap is not presenting it as a clean continuation setup: the center read is NEUTRAL 0% , while the timed engine shows both Absorption = SHORT and Exhaustion = SHORT . That combination often means: the downside pressure was real, but the move is already in a late/fragile phase (good for managing an existing short, not for opening a new one).
How to read it (practical scalping logic)
Absorption SHORT = there was compression/tight action with persistent bearish pressure building under the surface.
Exhaustion SHORT = the impulse is “spent” or destabilising (acceleration signature is no longer healthy for continuation entries).
Neutral 0% on the main HUD = the system is not granting directional confidence anymore, even if the last candles look aggressive.
Translation: if you were already short, this zone is often for taking profit / tightening risk . If you are not in, it’s usually a wait-for-reset moment.
Possible mean reversions in yellow
Those yellow tiles are the indicator’s “caution prints” (the same colour family used to express DISAGREE ). They appear when the internal structure becomes mixed —i.e., some halves/lanes are not supporting the dominant direction cleanly (or a divergence-style conflict is detected). In practice, they often mark the transition from clean pressure to noisy/late pressure , which is exactly where chasing entries tends to be punished.
How to use them
In a trend continuation, yellow tiles are a strong hint to stop adding and to manage risk more defensively (or treat the phase as “risky trend reversion”).
When they show up near an extension candle (like here), they often signal that the move is shifting into a less stable regime—better for protecting profits than for initiating new entries.
Stepping back for a moment, OBV (On-Balance Volume) and CVD (Cumulative Volume Delta) are both classic tools for studying volume flow, but they differ in what they measure. OBV tracks cumulative volume using price direction: it adds volume on up closes and subtracts it on down closes. CVD tracks the net difference between buying and selling pressure, aiming to reflect the effective push from buyers versus sellers. Both describe the "force behind price" , but from different angles.
OBV is the more traditional approach. It increases when the market closes higher and decreases when it closes lower, so it often works well as a trend-support and divergence tool: if price rises while OBV falls, that mismatch can suggest weakness beneath the move. Because it relies on the close-to-close direction, OBV naturally aligns with trend confirmation across bars.
CVD , instead, is about the ongoing battle between buyers and sellers. Conceptually, it accumulates the net delta between aggressive buying and aggressive selling over time. Positive values tend to indicate stronger buying pressure; negative values indicate stronger selling pressure. Its focus is the tug-of-war itself—who is pushing, rather than simply whether the bar ended up closing up or down.
The practical differences are straightforward. OBV uses the closing direction to assign the full volume, so it tends to be more connected to the overall trend structure. CVD is usually more sensitive to shifts in pressure and can react faster when the market changes character. OBV is commonly used to confirm trends and highlight divergences; CVD is commonly used to spot early pressure changes and moments where one side starts to dominate.
This is also why combining them inside one normalised framework can be so effective. You are not relying on a single volume interpretation. You are pairing a trend-confirmation view (OBV) with a pressure-sensitive view (CVD), and you are making them comparable in a shared scale so agreement and divergence become immediately visible. When they agree, conviction is clearer. When they diverge, you often see important information—hesitation, absorption, or pressure that the price is not fully accepting.
👁️ by Oberlunar ⭐
Carry Stress Trigger (ZAR)A regime indicator for detecting stress in ZAR carry trades before price moves aggressively
Overview
Carry Stress Trigger (ZAR) is a regime-detection indicator that identifies early warning signals of carry-trade stress in the South African Rand (ZAR).
ZAR is one of the most widely used high-yield carry currencies, but its performance can reverse sharply when:
- Global risk sentiment deteriorates.
- Funding currencies (especially JPY) strengthen.
- Emerging market FX begins to underperform
This indicator combines risk, funding, and EM FX signals into a single Carry Stress Score, helping traders avoid being caught on the wrong side of sudden USDZAR or ZARJPY moves.
Indicator Logic (How It Works)
The model evaluates three independent conditions, each representing a core driver of carry trade behaviour:
Global Risk-Off Signal (VIX)
- Uses the VIX index as a proxy for global risk appetite
- Condition is triggered when:
VIX > its 20-period moving average
This captures rising volatility and risk aversion — a common precursor to EM FX sell-offs.
Funding Stress Signal (JPY Strength)
- JPY is the primary funding currency for global carry trades
- Condition is triggered when:
USDJPY < its 20-period moving average
A strengthening JPY often signals carry unwinds across EM FX.
EM FX Underperformance (ZAR vs USD)
- Measures whether ZAR is underperforming relative to the USD
- Uses a relative ratio:
USDZAR / DXY
The signal triggers when ZAR weakens beyond broad USD strength, isolating ZAR-specific stress rather than general dollar moves.
Carry Stress Score
Each condition contributes 1 point:
Score Regime Interpretation
0–1 Carry Friendly Risk-on environment, carry trades supported
2 Warning Stress building, caution advised
3 Carry Stress High risk of carry unwind / sharp ZAR moves
The score is plotted as a step line and optionally highlighted with background shading when stress rises.
How to Use It
USDZAR Traders
Score 0–1: Trend continuation and carry strategies more reliable
Score ≥ 2: Avoid fading USDZAR upside aggressively
Score = 3: Expect volatility expansion and fast upside spikes
ZARJPY / Carry Baskets
Score ≥ 2: Reduce exposure, tighten stops
Score = 3: Carry trades historically underperform
Risk Management
Use the indicator as a regime filter, not a standalone entry signal
Best combined with:
- Key USDZAR levels (support/resistance)
- SARB / CPI / Fed event weeks
-Volatility-based position sizing
Timeframe Notes
- The Lookback Length applies to the current chart timeframe
- On Daily charts, a length of 20 ≈ 1 trading months
- On Intraday charts, the signals become faster and more tactical
- For macro and swing trading, the Daily timeframe is recommended.
Important Notes
- This indicator is not predictive — it identifies regime conditions
- Carry trades can remain profitable even during early stress
- The strongest signals occur when Score = 3 aligns with key price levels or macro events
Session ATR Progression Tracker📊 Session ATR Progression Tracker - SIYL Regression Trading Tool
Track how much of your instrument's 7-day Average True Range (ATR) has been covered during the current trading session. This indicator is specifically designed for regression traders who follow the "Stay In Your Lane" (SIYL) methodology, helping you identify when the probability of mean reversion significantly increases. If you are interested in more on that check out Rod Casselli and tradersdevgroup.com.
🎯 Key Features:
• Real-time ATR Coverage Percentage - See at a glance what percentage of the 7-day ATR has been covered in the current session
• SIYL-Optimized Thresholds - See at a glance when the instrument has achieved 80% and 100% ATR coverage, the proven thresholds where mean reversion probability increases (customizable)
• Flexible Session Modes:
- Daily: Resets at calendar day change
- Session: Uses exchange-defined trading sessions
- Custom Session: Set your exact session start/end times (perfect for futures traders and international markets)
• Visual Alerts - Color-coded display (gray → orange → red) and optional background highlighting
• Repositionable Display - Choose from 9 screen positions to avoid chart clutter
• Session Markers - Green triangles mark the start of each new session
• Detailed Stats - View current range, ATR value, session high/low, and session status
💡 Why Use This Indicator?
This tool is built around a proven concept: regression trading becomes significantly more effective once a session has achieved at least 80% of its 7-day ATR. At this threshold, the probability of price reverting to mean increases substantially, creating higher-probability trade setups for SIYL practitioners.
Benefits for regression traders:
- Identify optimal entry points when mean reversion probability is highest (≥80% ATR coverage)
- Avoid premature regression entries before adequate range has been established
- Recognize when daily moves have "earned their range" and are ripe for reversal
- Time fade-the-move and counter-trend strategies with statistical backing
- Improve win rates by trading only after proven probability thresholds are met
⚙️ Setup Instructions:
1. Add the indicator to your chart
2. Select your preferred "Reset Mode" (recommend "Custom Session" for futures/international markets)
3. If using Custom Session, enter your session times in 24-hour format (e.g., 0930-1600 for US stocks, 1700-1600 for CME futures)
4. Adjust alert thresholds if desired (default: 80% and 100% - proven SIYL thresholds)
5. Position the display where it's most visible on your chart
📈 Works Across All Markets:
Stocks • Futures • Forex • Indices • Crypto • Commodities
Perfect for regression traders, mean reversion specialists, and SIYL practitioners who want to trade with probability on their side by entering only after the session has "earned its range."
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Tip: For futures contracts with overnight sessions that span calendar days (like MES, MNQ, MYM), use "Custom Session" mode with your exchange's official session times for accurate tracking.
Put Call Relative StrengthPut–Call Relative Strength (PE/CE RS)
Description
Put–Call Relative Strength compares the premium movement of a Put Option (PE) against a Call Option (CE) to detect bearish pressure in the market.
It uses the ratio:
RS = PE / CE – 1
If Puts gain strength faster than Calls, RS turns positive — indicating bearish dominance.
A moving average line helps you understand trend strength and filter noise.
This is an ideal tool for traders wanting a clear, fast view of downside momentum and Put-led trend shifts.
How to Use
1️⃣ Select PE and CE Symbols
In settings → manually enter:
Put Option (PE)
Call Option (CE)
Same strike + same expiry recommended.
2️⃣ Interpret RS
RS > 0 (Green) → Puts stronger → Bearish bias
RS < 0 (Red) → Calls stronger → Bullish bias
3️⃣ Use RS MA to Confirm Trend
RS MA rising (Green) → Bearish strength increasing
RS MA falling (Red) → Bearish strength weakening
RS MA sideways (Gray) → Indecision / range
4️⃣ Best Use Cases
Intraday short setups
PE scalping
Confirmation for breakdowns
Identifying Put-led strength surges
Best for 1m–10m timeframes
Ghost Scalp Protocol By [@Ash_TheTrader]
# 👻 GHOST SCALP PROTOCOL
### 💀 Stop Getting Trapped. Start Tracking the Banks.
Most retail traders lose because they enter exactly where institutions are exiting. They get caught in **"Stop Hunts"** and **"Fake-Outs."**
The **Ghost Scalp Protocol** is not just an indicator; it is a complete institutional trading system designed for **M1 & M5 Scalpers**. It combines **Smart Money Concepts (SMC)** with a **Physics-Based Momentum Engine ($p=mv$)** to detect high-probability reversals.
---
### ⚛️ THE LOGIC: 3-STAGE CONFIRMATION
This algorithm does not rely on lagging indicators. It uses a 3-step "Protocol" to validate every trade:
**1. THE GHOST TRAP (Liquidity Sweeps)**
* The script automatically draws "Ghost Lines" at key Swing Highs/Lows where retail Stop Losses are hiding.
* It waits for price to **sweep** these levels (Stop Hunt).
* **The Signal:** A Neon **Skull (☠️)** appears *only* if price aggressively rejects the level with high volume. This is the "Turtle Soup" pattern.
**2. THE PHYSICS ENGINE ($p = mv$)**
* Momentum is not just price speed; it is **Mass (Volume) x Velocity (Range)**.
* The dashboard calculates the "Force" of every candle.
* **The Signal:** An **Arrow (⬆/⬇)** appears when momentum surges **5x** above the average. This confirms the banks are pushing the move.
**3. BANK BIAS (Elasticity Filter)**
* Markets move like a rubber band.
* The script calculates a hidden "Fair Value" baseline.
* It creates a **Bias**: It only looks for Shorts in **PREMIUM (Shorting)** zones and Longs in **DISCOUNT (Accumulating)** zones.
---
### 📊 THE SMART DASHBOARD (HUD)
A futuristic, non-intrusive Heads-Up Display keeps you focused on the data that matters:
* **🏦 BANK BIAS:** Tells you if Institutions are likely **Accumulating** or **Shorting**.
* **📈 HTF TREND:** Automatically checks the **1-Hour Trend**. Don't fight the tide.
* **🚀 MOMENTUM:** Real-time Physics calculation.
* **Green Text:** Acceleration (Move is getting stronger).
* **Red Text:** Deceleration (Move is dying).
* **🌍 SESSION:** Shows active Bank Sessions (Tokyo, London, NY).
* **⚠️ OVERLAP ALERT:** Flashes GOLD when London & New York are open simultaneously (Peak Volatility).
---
### 🔥 STRATEGY: HOW TO TRADE
Use this checklist to execute high-probability scalps:
#### 📉 SHORT SETUP (SELL)
1. **Liquidity:** Wait for price to break above a **Red Ghost Line** (Sweep Highs).
2. **Signal:** Wait for the **Pink Skull ☠️** (Trap Detected).
3. **Confluence:**
* Dashboard Bias says: **"SHORTING"**
* HTF Trend says: **"BEARISH 📉"** (Optional but recommended).
4. **Entry:** On the Close of the Skull candle.
5. **Stop Loss:** Just above the wick swing high.
#### 📈 LONG SETUP (BUY)
1. **Liquidity:** Wait for price to break below a **Blue Ghost Line** (Sweep Lows).
2. **Signal:** Wait for the **Blue Skull ☠️** (Trap Detected).
3. **Confluence:**
* Dashboard Bias says: **"ACCUMULATING"**
* HTF Trend says: **"BULLISH 📈"** (Optional but recommended).
4. **Entry:** On the Close of the Skull candle.
5. **Stop Loss:** Just below the wick swing low.
---
### 🏆 RECOMMENDED PAIRS & TIMEFRAMES
* **⚡ Best Timeframes:**
* **1 Minute (M1):** For aggressive "Sniper" entries (High Frequency).
* **5 Minute (M5):** The "Gold Standard" for balanced Scalping.
* **15 Minute (M15):** Safer, higher win-rate Day Trading.
* **💎 Best Assets:**
* **Gold (XAUUSD):** Highly effective on liquidity sweeps.
* **Indices:** US100 (Nasdaq), US30 (Dow Jones).
* **Crypto:** BTCUSD, ETHUSD (High volatility).
* **Forex:** GBPUSD, EURUSD (London/NY Session).
---
### 🛠️ SETTINGS & CUSTOMIZATION
* **Surge Factor:** Default is **5.0x**. Lower this to 3.0 if you want more aggressive Momentum Arrows.
* **Smart Sessions:** Automatically converts to **New York Time** (EST) regardless of your location. No more time zone math.
* **Visuals:** Designed with "Ghost Glow" technology—97% transparent backgrounds that look classy and don't clutter your chart.
---
**"The Ghost Algo sees what you can't."**
*Trade Safe. Trade Smart.*
**~ Ash_TheTrader**
Call Put Relative Strength Call–Put Relative Strength compares the premium movement of a selected Call Option (CE) against a selected Put Option (PE) to reveal the underlying market’s bullish strength.
It calculates a clean ratio:
RS = CE / PE – 1
When Calls are gaining strength faster than Puts, the RS turns positive — signaling bullish momentum.
A smoothing moving average adds clarity and filters intraday noise.
This is a powerful tool for intraday traders who want to quickly identify whether buyers or sellers are dominating the market.
How to Use
1) Select CE and PE Symbols
Open indicator settings → manually enter:
Call Option (CE)
Put Option (PE)
Use same strike + same expiry.
2) Interpret RS
RS > 0 (Green) → Calls stronger → Bullish bias
RS < 0 (Red) → Puts stronger → Bearish bias
3) Use RS MA for Trend Confirmation
RS MA rising (Green) → Strength increasing
RS MA falling (Red) → Strength weakening
RS MA flat (Gray) → Market neutral
4) Best Use Cases
Intraday trend confirmation
Scalping CE trades
Avoiding false long entries
Tracking CE/PE rotation strength
Works best on 1m–10m charts
Session Volume Profile Sniffer: HVN & Rejection ZonesA simple tool built for traders who rely on intraday volume structure.
What this script does
This script tracks volume distribution inside a selected session and highlights two key price levels:
High Volume Nodes (HVNs) — areas where price spent time building heavy participation.
Low Volume Nodes (LVNs) — thin zones where price moved quickly with very little interest.
Instead of plotting a full profile, this tool gives you the exact rejection-level lines you usually hunt manually.
Why these levels matter
HVN → price tends to react, stall, or flip direction
LVN → price often rejects strongly since liquidity is thin
Rejection patterns around these areas give clean entry signals
Positioning trades around HVN/LVN helps filter noise in choppy sessions
This script removes the trouble of drawing profiles, counting bins, or guessing node levels. Everything is calculated inside the session you choose.
How the detection works
Inside your session window, the script:
1. Tracks each tick-based price bucket
2. Accumulates raw volume for every bucket
Identifies:
HVNs = buckets with volume above a tier
LVNs = buckets with volume below a tier
3. Prints each level as a single clean line
4. Generates:
Long signal → bounce from LVN
Short signal → rejection from HVN
Built-in exits use ATR-based conditions for quick testing.
Features
Session-based volume mapping
HVN + LVN levels drawn automatically
Entry triggers based on rejection
ATR exits for experimental backtests
Clean, minimal visual output
Best use cases
Intraday futures
Index scalping
FX sessions (London / NY)
Crypto sessions (user-timed)
Anyone who trades around volume structure
Adjustable settings
Session window
Volume bin size
HVN multiplier
LVN multiplier
Enable/disable zone lines
This keeps it flexible enough for both scalpers and slow-paced intraday setups.
Important note
This script is built for study + idea testing.
It is not intended as a final system.
Once you identify how price behaves around these nodes, you can blend this tool into your own setup.
KC Multi-TF ATR TableThis indicator is a comprehensive risk management tool designed to help traders gauge market volatility and determine rational Take Profit (TP) and Stop Loss (SL) levels. It allows you to analyze both the current timeframe and higher timeframes (15m, 1H, 4H, Daily) at a single glance.
Key Features:
Multi-Timeframe (MTF) Dashboard:
Displays ATR (Average True Range) values for fixed periods: 15 Minutes, 1 Hour, 4 Hours, and Daily, alongside your current chart timeframe.
Allows you to monitor whether general market volatility is expanding or contracting from a single panel.
Auto TP & SL Calculation:
Lists potential Long and Short targets for each timeframe based on your custom ATR multipliers.
Logic:
Buy TP: Close Price + (ATR x TP Multiplier)
Buy SL: Close Price - (ATR x SL Multiplier)
(Inverted logic applies for Sell setups.)
Dynamic On-Chart Lines:
Draws the calculated TP and SL levels directly on the chart for the current timeframe.
Lines extend 10 bars into the future, providing a visual reference for how close the price is to your targets.
Full Customization:
Calculation: You can adjust the ATR period and TP/SL multipliers to fit your strategy.
Visuals: Table position, text size, and all colors (buy, sell, background) can be personalized via the settings menu.
How to Use:
Trend Following: If ATR values on higher timeframes are increasing, it may indicate a strengthening trend.
Risk Management: Check the SL levels in the table before entering a trade to adjust your stop loss dynamically based on volatility.
Scalping: Use the on-chart lines as dynamic targets during support/resistance breakouts.
Bollinger Bands Forecast with Signals (Zeiierman)█ Overview
Bollinger Bands Forecast with Signals (Zeiierman) extends classic Bollinger Bands into a forward-looking framework. Instead of only showing where volatility has been, it projects where the basis (midline) and band width are likely to drift next, based on recent trend and volatility behavior.
The projection is built from the measured slopes of the Bollinger basis, the standard deviation (or ATR, depending on the mode), and a volatility “breathing” component. On top of that, the script includes an optional projected price path that can be blended with a deterministic random walk, plus rejection signals to highlight failed band breaks.
█ How It Works
⚪ Bollinger Core
The script first computes standard Bollinger Bands using the selected Source, Length, and Multiplier:
Basis = SMA(Source, Length)
Band width = Multiplier × StDev(Source, Length)
Upper/Lower = Basis ± Width
This remains the “live” (non-forecast) structure on the chart.
⚪ Trend & Volatility Slope Estimation
To project forward, the indicator measures directional drift and volatility drift using linear regression differences:
Basis slope from the Bollinger basis
StDev slope from the Bollinger deviation
ATR slope for ATR-based projection mode
These slopes drive the forecast bands forward, reflecting the market’s recent directional and volatility regime.
⚪ Projection Engine (Forecast Bands)
At the last bar, the indicator draws projected basis, upper, and lower lines out to Forecast Bars. The projected basis can be:
Trend (straight linear projection)
Curved (ease-in/out transition toward projected endpoints)
Smoothed (extra smoothing on projected basis/width)
⚪ Price Path Projection + Optional Random Walk
In addition to projecting the bands, the script can draw a price forecast path made of a small number of zigzag swings.
Each swing targets a point offset from the projected basis by a multiple of the projected half-width (“width units”).
Decay gradually reduces swing size as the forecast deepens.
The Optional Random Walk Blend adds a deterministic drift component to the zigzag path. It’s not true randomness; it’s a stable pseudo-random sequence, so the drawing doesn’t jump around on refresh, while still adding “natural” variation.
⚪ Rejection Signals
Signals are based on failed attempts to break a band:
Bear Signal (Down): price tries to push above the upper band, then falls back inside, while still closing above the basis.
Bull Signal (Up): price tries to push below the lower band, then returns back inside, while still closing below the basis.
█ How to Use
⚪ Forward Support/Resistance Corridors
Treat the projected upper/lower bands as a future volatility envelope, not a guarantee:
The upper projection ≈ is likely a resistance level if the regime persists
The lower projection ≈ is likely a support level if the regime persists
Best used for trade planning, targets, and “where price could travel” under similar conditions.
⚪ Regime Read: Trend + Volatility
The projection shape is informative:
Rising basis + expanding width → trend with increasing volatility (needs wider stops / more caution)
Flat basis + compressing width → contraction regime (often precedes expansion)
⚪ Signals for Mean-Reversion / Failed Breakouts
The rejection markers are useful for fade-style setups:
A Down signal near/after upper-band failure can imply rotation back toward the basis.
An Up signal near/after lower-band failure can imply snap-back toward the basis.
With MA filtering enabled, signals are constrained to align with the broader bias, helping reduce chop-driven noise.
█ Related Publications
Donchian Predictive Channel (Zeiierman)
█ Settings
⚪ Bollinger Band
Controls the live Bollinger Bands on the chart.
Source – Price used for calculations.
Length – Lookback period; higher = smoother, lower = more reactive.
Multiplier – Bandwidth; higher = wider bands, lower = tighter bands.
⚪ Forecast
Controls the forward projection of the Bollinger Bands.
Forecast Bars – How far into the future the bands are projected.
Trend Length – Lookback used to estimate trend and volatility slopes.
Forecast Band Mode – Defines projection behavior (linear, curved, breathing, ATR-based, or smoothed).
⚪ Price Forecast
Controls the projected price path inside the bands.
ZigZag Swings – Number of projected oscillations.
Amplitude – Distance from basis, measured in bandwidth units.
Decay – Shrinks swings further into the forecast.
⚪ Random-Walk
Adds controlled randomness to the price path.
Enable – Toggle random-walk influence.
Blend – Strength of randomness vs. zigzag.
Step Size – Size of random steps (band-width units).
Decay – Reduces randomness as the forecast deepens.
Seed – Changes the (stable) random sequence.
⚪ Signals
Controls rejection/mean-reversion signals.
Show Signals – Enable/disable signal markers.
MA Filter (Type/Length) – Filters signals by trend direction.
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Disclaimer
The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
