Bitcoin Macro Trend IndicatorBitcoin Macro Trend Indicator: A Multi-Timeframe Confirmation System for Strategic Positioning
Introduction
The Bitcoin Macro Trend Indicator is a comprehensive technical analysis tool designed for cryptocurrency traders and investors seeking to navigate Bitcoin's volatile cycles. It integrates multiple exponential moving averages (EMAs) and MACD variations into a unified system that identifies long-term accumulation zones, bull market tops, and strategic re-entry points. This document outlines the logical foundation of this integration, explains the synergistic operation of its components, and provides practical guidance for its application.
Rationale for Multi-Indicator Integration
Bitcoin's market behavior exhibits distinct cyclical patterns characterized by extended accumulation periods, parabolic advances, and sharp corrections. Single indicators often generate false signals during volatile conditions. This system employs a layered confirmation approach where:
Ultra-long-term EMAs establish the primary trend context
Medium-term EMA crossovers identify trend transitions
Multiple MACD configurations detect momentum shifts across different time horizons
This multi-timeframe methodology reduces noise and increases signal reliability by requiring convergence across independent but complementary technical elements.
Component Synergy and Operational Mechanism
1. EMA Framework: The Trend Foundation
700-period EMA: Serves as the primary trend baseline. Prices below this line suggest long-term undervaluation (accumulation territory), while sustained positions above indicate established bull markets.
18/63-period EMA Pair: Functions as the core trend transition system. The golden cross (18 above 63) confirms bullish momentum, while the death cross signals potential trend exhaustion.
12/52-period EMA Pair: Specialized for identifying renewed momentum after corrections within ongoing trends, reducing premature re-entry during false recoveries.
12-period EMA (Auxiliary): Provides early warning of short-term trend deterioration that may precede larger corrections.
2. MACD Ensemble: Momentum Verification
Bottom MACD (168/364/6): With exceptionally slow parameters, this configuration filters out short-term noise to identify genuine long-term momentum shifts characteristic of market bottoms.
Top MACD (63/133/1): Optimized for detecting momentum divergence at potential market tops, where traditional MACD settings often lag.
Local Top Warning MACD (30/65/4): Balanced to capture intermediate-term momentum deterioration that frequently precedes significant pullbacks.
Early Bull MACD (9/19/6): Sensitive to initial momentum surges following accumulation periods, providing early confirmation of trend initiation.
3. Signal Hierarchy and Progressive Confirmation
The indicator employs a cascading confirmation logic:
Stage 1 (Accumulation): Requires both long-term MACD improvement AND price position below the 700-period EMA. Strong accumulation signals add Early Bull MACD confirmation.
Stage 2 (Warning): Local top warnings activate only when multiple conditions align: medium-term trend remains bullish, ultra-long-term trend confirms strength, AND specialized MACDs show momentum deterioration.
Stage 3 (Re-entry): Requires both EMA crossover confirmation AND momentum recovery in the warning MACD, reducing false continuation signals.
Stage 4 (Top Confirmation): The most stringent criteria, demanding convergence across long-term, medium-term, and momentum indicators before signaling major trend reversal.
Practical Application and Interpretation
Signal Classification System
Accumulation Zones (Green): Areas where long-term indicators suggest undervaluation. These represent strategic buying opportunities for patient investors.
Strong Accumulation Signals (Dark Green): Enhanced accumulation zones with additional momentum confirmation, suggesting higher-probability entry points.
Local Top Warnings (Orange/Red): Progressive warnings of increasing risk, with red zones indicating conditions historically associated with more severe corrections.
Re-entry Opportunities (Blue): Post-correction zones where momentum recovery aligns with trend resumption signals.
Bull Market Termination (Purple): Signals suggesting completion of major advance cycles, prompting defensive positioning.
Top Confirmation (Dark Red): High-confidence reversal signals with multi-timeframe confirmation.
Usage Guidelines
Timeframe Recommendation: Designed primarily for daily and weekly charts where macroeconomic trends are most evident.
Position Sizing: Accumulation signals support gradual position building, while warning signals suggest reducing exposure rather than immediate liquidation.
Corroboration: Although self-contained, the indicator performs best when combined with volume analysis and fundamental considerations.
Historical Validation: Users should review signal performance across multiple market cycles to understand characteristic behaviors.
Limitations and Considerations
No technical indicator predicts market movements with absolute certainty. This tool provides probabilistic assessments based on historical patterns.
Extraordinary market events or fundamental shifts may override technical signals.
The indicator's parameters, while optimized for Bitcoin's historical behavior, may require adjustment for unprecedented market conditions.
Signals should be interpreted in context of overall market structure and trader/investor time horizon.
Originality and Differentiation
This system represents a novel synthesis of established technical concepts through:
Parameter Optimization: Specific EMA and MACD periods calibrated to Bitcoin's characteristic volatility and cycle duration.
Conditional Layering: Unlike single-criterion systems, signals require convergence across independent technical dimensions.
Progressive Warning System: Multi-stage alerts that distinguish between routine corrections and potential trend reversals.
Macro-Micro Integration: Simultaneous analysis of ultra-long-term trends and short-term momentum shifts.
Empirical Foundation
The indicator's design incorporates observations from Bitcoin's market behavior since 2010, particularly:
The tendency for major bottoms to form during extended periods below long-term moving averages
Characteristic momentum patterns preceding significant tops
The predictive value of specific EMA relationships during different market phases
Historical performance of multi-timeframe confirmation versus single indicators
Conclusion
The Bitcoin Macro Trend Indicator provides a structured framework for identifying high-probability turning points in Bitcoin's market cycles. By integrating multiple technical perspectives into a confirmation hierarchy, it reduces reaction to market noise while maintaining sensitivity to genuine trend changes. Users should employ this tool as part of a comprehensive trading plan that includes risk management protocols and consideration of external market factors. The system's greatest utility emerges when understood not as a predictive oracle but as a systematic method for identifying favorable risk-reward scenarios based on multi-timeframe technical convergence.
Zyklen
Trading Cutoff TimerTrade Cutoff Timer — Discipline-First Session Control
Trade Cutoff Timer is a simple execution-discipline indicator designed to enforce one of the most powerful trading rules:
stop trading after your optimal window ends.
The indicator visually marks a fixed cutoff time measured in minutes after the market open, helping you avoid late-session overtrading, FOMO entries, and degraded edge conditions.
🔹 What it does
Draws a clear vertical cutoff line at X minutes after market open
Optionally shades the background from market open until the cutoff
Prevents “one more trade” behavior by making your rule visible on-chart
Works on any intraday timeframe
Does not affect chart scaling or price visibility
🔹 Key Features
⏱ Minute-based cutoff
Define exactly how long after market open you are allowed to trade (e.g. 90 minutes).
🌍 Timezone-aware (UTC±)
Select timezones using TradingView-style UTC offsets for consistent behavior across markets.
📅 Lookback control
Limit how many historical days are marked to keep charts clean and focused.
🎨 Visual flexibility
Enable or disable background shading, control how far it extends, and customize colors.
🧠 Discipline over signals
No entries, no indicators, no bias — this tool enforces process, not predictions.
🔹 Who it’s for
Day traders with a defined trading window
Traders who perform best near market open
Anyone working to improve consistency, patience, and rule-based execution
Traders who want structure without clutter
🔹 Typical use cases
“I only trade the first 90 minutes after NY open”
“I stop trading once volatility degrades”
“I want a visual reminder of my hard stop time”
Trade less. Trade better.
This indicator exists to support consistency — not to generate signals.
TTC Open Lines v1This liquidity-based key level indicator displays previous highs and lows from the daily, weekly, monthly, quarterly, and yearly charts. These price levels serve as important reference points in the trading of any market or financial instrument.
They also represent high-probability reaction zones, making them ideal areas to look for trades using simple confirmation patterns.
Each level plays a crucial role in determining whether the market is likely to continue its current trend or reverse direction. I like to think of these levels as two magnets — they can either attract price or push it away.
You might wonder how two opposing behaviors can both be useful. The key is to remain directionally neutral and develop your own set of rules to identify when price is more likely to react by being drawn toward these areas or rejected from them.
I have my own rules for this, and you can develop a framework that fits your own trading style as well.
WAE + WaveTrend + ST Strategy FinaleConfluence Multi-Filter Strategy (WAE + WT + ST + EMA M5) | Pine Script v6 | High R:R
This advanced strategy, written in Pine Script v6, is the culmination of combining powerful and tested trading logics. It is specifically optimized for low timeframes (e.g., 1 minute), but the multi-timeframe filters make it highly adaptable.
The main goal is to identify high-probability signals when there is a confluence (agreement) between momentum, volatility, and long-term trends, while maintaining exceptional risk control.
Key Features:
4-Way Logic: Combines WAE , WaveTrend, an EMA 50M5 (Multi-Timeframe) filter, and an optional SuperTrend filter.
Dynamic Risk Management: Uses ATR to automatically calculate tight Stop Losses and a smart Trailing Stop that activates upon reaching the first Take Profit (TP1).
Excellent Risk/Reward Ratio (R:R): Designed for aggressive R:R (base 1:3), which can be easily customized in the inputs.
Discrete Signals: Keeps the chart clean by only showing entry points (BUY/SELL), SL, and TP with small dots.
Maximum Customization: Control which filters to activate (EMA, ST, simplified SMC) using the checkboxes in the inputs.
How It Works:
The strategy looks for the "perfect storm":
Trend Confirmation: The price must be aligned with the long-term EMA 50M5 and/or the SuperTrend.
Momentum/Volume: WAE and WaveTrend must signal an explosion of volume and momentum in the same direction.
Execution: When confluence occurs, the order is triggered with SL and TP predefined by the ATR.
Performance Notes:
Recent backtesting results (with specific settings): Profit Factor above 39, minimal Drawdown, and a P&L of +50% in one week with only 3 trades.
Please Note: Past performance is not a reliable indicator of future results.
ET Quarterly Boxes @RukinRomanDivides the year into 4 quarters, then divides by Fibonacci.
The distribution is as follows:
13
5+8
5+(3+5)
(2+3)+(2+1)+(2+3)
Each layer can be turned on separately.
The starting point is the beginning of the year, accounting for market open.
Accuracy is up to 1 hour. Minimum working timeframe is 1 hour.
ICT Internal Levels [Amaan] 🔷 OVERVIEW
The ICT Internal Levels is a comprehensive institutional analysis suite designed to bridge the gap between subjective price action and objective algorithmic logic. This script automates the detection of core ICT pillars—Liquidity, Time, and Displacement—into a single, high-performance interface.
🧠 The Core Engine
Unlike standard support/resistance indicators, this script uses a dynamic state-tracking system to identify institutional interest zones. It manages historical levels using memory-efficient User-Defined Types (UDTs) and arrays, ensuring that only the most relevant "unswept" liquidity remains on your chart.
🛠 Key Features
• Auto IFVG Checklist: A real-time confluence engine that "grades" market conditions from C to A+ by cross-verifying Liquidity Sweeps, Midnight Open Bias, and HTF Delivery.
• SMT Divergence Engine: A dual-mode detector (Adjacent & Structural) that identifies cracks in correlation between correlated assets (e.g., NQ/ES) with built-in dynamic invalidation.
• Algorithmic Macros: Six fully customizable time-anchored sessions (New York local time) that highlight the specific "killzones" where institutional volatility is highest.
• Internal Liquidity Scanner: A multi-timeframe scanner for Equal Highs (EQH) and Equal Lows (EQL) that identifies the "Draw on Liquidity" across 1m to 15m charts.
• Institutional Bias Framework: Automatically anchors the Midnight Opening Price to determine Daily Equilibrium (Discount vs. Premium arrays).
📈 Why Use This Script?
This tool is built for the "Smarter Trader." It removes the guesswork from ICT concepts by providing:
1. Objectivity: Know exactly when a setup has enough confluence via the automated Checklist.
2. Clarity: Clear visual distinction between Major and Minor liquidity levels.
3. Risk Management: Automated "Breakeven" logic prompts you when the stop-run phase is likely complete.
📝 Technical Implementation
This version is optimized for speed and accuracy. It features zero repainting on the checklist and SMT components by utilizing closed-candle verification. The UI is fully customizable, allowing you to tailor the dashboard to your specific trading style.
🟢 Advanced BSL & SSL Liquidity Engine
The core of this script is a sophisticated tracking system for Buyside Liquidity (BSL) and Sellside Liquidity (SSL). In institutional trading (ICT), these aren't just highs and lows; they are "Liquidity Pools" where retail stop-losses (buy/sell stops) are clustered, acting as magnets for the market algorithm.
1. The Logic of "Parent Swings"
Unlike basic indicators that mark every fractal high/low, this script uses a Swing Strength filter. It only identifies levels after they have been confirmed by a specific number of bars on either side (lookback/lookforward). This ensures the levels represent significant structural points where true "Smart Money" liquidity resides.
2. Major vs. Minor Classification (The Volatility Filter)
The script includes an intelligent classification system based on the Major Level Threshold %:
• The Calculation: Once a pivot is formed, the script measures the displacement away from that level.
• The Depth: If price expands by more than \bm{X\%} (e.g., 0.5%) after forming a high, it is labeled a "Major BSL".
This tells the trader that this level protected a significant move, making the liquidity sitting above it even more valuable to the algorithm.
3. Proximity Logic: Relatively Equal Highs/Lows (REQH/REQL)
The script features an internal "Proximity Scan." It automatically evaluates the distance between active liquidity levels:
• Logic: If two BSL levels are within a defined price threshold (\bm{REQ\_THRESHOLD}), the script identifies them as Relatively Equal Highs.
• Trading Insight: In ICT concepts, equal highs/lows are "engineered liquidity." The market is much more likely to run through these levels aggressively because there is a double layer of stops resting there.
4. Automated Level Management & Mitigation
To prevent "chart clutter," the script uses Custom Types and Arrays to manage levels dynamically:
• Mitigation (The Purge): As soon as price trades through a level, it is considered "mitigated" or "purged."
• Traded-Through Memory: You can toggle a setting to keep these levels visible. If enabled, the script stops extending the line and reduces its opacity (e.g., to 25%), leaving a "ghost level" on the chart. These often act as S/R Flips or support/resistance zones in future sessions.
📝 Logic behind it
• Methodology: The script utilizes the method keyword in Pine Script v6 to create clean, object-oriented code for level deletion and updates.
• Performance: By using array.unshift() and array.remove(), the script maintains a FIFO (First-In-First-Out) queue. This ensures that even on high-volatility days, the script never exceeds the 500-line drawing limit, maintaining smooth chart performance.
• Coordinate Precision: Lines are pinned using bar_index , ensuring that the line starts at the exact wick peak, providing pixel-perfect accuracy for liquidity analysis.
🟢 Institutional Macro Sessions
In the ICT methodology, Time is the primary filter. Price levels only become significant when they are reached at specific times of the day. This script automates the detection of Algorithmic Macros—tight 20-to-30-minute windows where the "Interbank Price Delivery Algorithm" (IPDA) is programmed to execute specific volatility injections.
1. Algorithmic Directives
During these highlighted windows, the market is not moving randomly. The algorithm is usually "called" to perform one of three tasks:
• Liquidity Purge: A quick run to stop out retail traders at a previous High (BSL) or Low (SSL).
• Rebalancing: Returning to a Fair Value Gap (FVG) or "Imbalance" to seek equilibrium.
• Expansion: Moving rapidly from an internal range toward a higher-timeframe target.
2. The 6 Tracked Macros
Your script identifies the most vital institutional windows for the New York session:
• AM Macro 1 (08:50 – 09:10): Often used for "Setting the Stage" or manipulation before the Equities Open.
• AM Macro 2 (09:50 – 10:10): A high-probability execution window often coinciding with the "Silver Bullet" setup.
• AM Macro 3 (10:50 – 11:10): Frequently marks the "Trend Continuation" or the start of a midday reversal.
• Lunch Macro (11:50 – 12:10): Algorithmic rebalancing before the PM session.
• PM Macro (13:10 – 13:40): The kick-off for the afternoon trend and London Close volatility.
• Last Hour Macro (15:15 – 15:45): The final algorithmic rebalancing before the New York "MOC" (Market On Close) orders.
3. Behind the Logic: Timezone Synchronization
A major technical challenge in Pine Script is ensuring time-boxes align correctly regardless of the user's local clock
• The Solution: This script utilizes a Timezone Shift parameter combined with the timestamp() function.
• Logic: It anchors the calculation to the chart’s syminfo.timezone and then offsets it to match New York Local Time.
This ensures that even if you are trading from London, Tokyo, or Dubai, the "09:50 Macro" will always plot exactly when the New York algorithms become active.
🟢 Multi-Timeframe Liquidity Scanner (EQH/EQL)
One of the most powerful features of V2 is the Stable Deep Scan Logic. Unlike basic fractal indicators, this script doesn't just mark any two similar peaks; it performs a rigorous historical audit of the price action.
The "Unswept" Logic
The table is powered by a custom function, check_liquidity_deep(), which executes a two-stage verification:
1. Detection: It scans a lookback window (default 300 bars) to find price points that are mathematically equal.
2. Verification: Once a level is found, the script runs a secondary loop to ensure that no intervening candle has breached (swept) that level. If a higher high has occurred between the level formation and the current bar, the level is discarded as "invalid/purged."
Data Visualization
The scanner requests this deep-scan data via request.security() for the 1m, 2m, 3m, 4m, 5m, and 15m timeframes simultaneously.
• EQH (Green/Red): Indicates a "Ceiling" of liquidity waiting to be raided.
• EQL (Red/Green): Indicates a "Floor" of sell-side liquidity.
• Both: Alerts the trader to a "bracketed" market, often preceding a high-volatility expansion.
• Memory Management: By using var array structures for SMT lines and labels, the script avoids the "Maximum Objects" limit often hit by lower-quality scripts.
• Optimization: The check_liquidity_deep function is designed to only trigger its heaviest calculations on the barstate.islast, ensuring your chart remains fluid and responsive even with multiple timeframes active.
• Coordinate Precision: The script uses xloc.bar_time for Macro lines to ensure they remain pinned to the correct NYC time regardless of the user's local computer clock or daylight savings shifts.
🟢 The Auto IFVG Checklist
The Auto IFVG Checklist in this script is a real-time confluence engine. It doesn't just display labels; it executes complex multi-timeframe scans and state-checks to verify if an institutional setup is currently active.
1. 🛡️ Liq Sweep (Liquidity Sweep)
Code Logic: high > high and close < high (for Bearish) or low < low and close > low (for Bullish).
• How it works: Your code identifies "Wick Manipulations." It flags a sweep when price breaches a previous candle's extremity but fails to hold that level on the close.
• Persistence: It uses swept_p with a ta.barssince lookback of 5 bars, meaning the "fuel" from the sweep remains valid for 5 candles after it occurs.
2. ⚡ Momentum (Midnight Open Bias)Orderflow Code Logic: midnightOpen = na anchored at hour == 0 and minute == 0.
• How it works: The script establishes a "True Day Open."
• IOF Bullish: Price is currently below Midnight Open (accumulating in a discount).
• IOF Bearish: Price is currently above Midnight Open (distributing in a premium).
• The Checklist Role: The Momentum check confirms if you are trading on the correct side of the "Power of 3" (Accumulation/Manipulation/Distribution).
3. 🎯 Clear DOL (Draw on Liquidity)
Code Logic: iof_bullish ? close < ta.vwap : close > ta.vwap.
• How it works: It uses VWAP (Volume Weighted Average Price) as the standard for algorithmic equilibrium.
• The Objective: If the bias is bullish, the script looks for price to be below VWAP, indicating the "Draw" is toward a higher premium or internal liquidity pool. It ensures the trade has room to "breathe" before hitting equilibrium.
4. 🔄 HTF iFVG (Higher Timeframe Inversion FVG)
Code Logic: f_scan_tf(tf) using request.security.
• How it works: This is the most complex part of the indicator. It scans the 1m, 2m, 3m, 4m, and 5m timeframes for "Inversion."
• The "Inversion" Event: It checks if price has closed completely through a Fair Value Gap (inv_b or inv_s). In your script, if a gap on any of these five timeframes is inverted, it signals a high-probability "Change in State of Delivery."
5. 🚢 HTF Delivery (Higher Timeframe Narrative)
Code Logic: f_scan_tf scanning 15m, 30m, 1H, and 4H.
• How it works: The script checks if price is currently interacting with an institutional zone on much higher timeframes.
• Priority: It uses a hierarchical "if-else" chain. If a 4H zone is found, it overrides the 1H; if a 1H is found, it overrides the 15m. This ensures the Checklist always displays the most significant timeframe currently "delivering" price.
6. ⚖️ Breakeven (The Risk-Off Trigger)
Code Logic: beR = ta.barssince(swept) < 10.
• How it works: This is a time-based risk management filter.
• The Logic: If a Liquidity Sweep occurred within the last 10 bars and the trade is moving, the script flags "Breakeven." It alerts the trader that the "Stop Run" phase should be over, and it is time to move the stop loss to the entry to ensure a risk-free trade.
📊 The Mathematical Rating System
The final "RATING" cell in the table is the result of a weighted boolean check:
• A+: Requires all 5 confluences (Sweep, Momentum, iFVG, Delivery, and DOL).
• A: Requires Sweep, Momentum, iFVG, and DOL.
• B+: Only requires the intraday pillars (Sweep, Momentum, and iFVG).
• C: Only requires an iFVG presence.
🟢 SMT Divergence Engine
The SMT engine in this script acts as a "crack in correlation" detector. It monitors the relationship between current chart and a Comparison Symbol (e.g., NQ vs. ES) to identify institutional accumulation or distribution that isn't visible on a single chart.
1. Dual-Mode Detection
This feature implements two distinct types of SMT to capture both aggressive and structural shifts:
• Adjacent Wick SMT: This is "Micro-SMT." It compares the current candle's wick to the previous candle's wick. If the main symbol makes a Higher High but the correlated symbol does not, it flags an immediate divergence.
• Structural Pivot SMT: This is "Macro-SMT." It uses three different lookback lengths (Primary, Secondary, and Tertiary) to find divergences across major market swings.
2. Dynamic Invalidation Logic (The "Mended Crack")
A common issue with SMT indicators is that they stay on the chart forever. Your code solves this with a Reference Price Check:
• The Logic: When a divergence is found, the script stores the correlated symbol’s high/low in an array (adj_up_comp_refs).
• The Invalidation: If the correlated symbol eventually "catches up" and breaks that stored reference price, the "crack" is considered mended. The script then executes a while loop to purge the lines and labels from the chart automatically.
3. Advanced Memory Management (Array-Based)
This allows the script to track multiple concurrent SMTs. If three different divergences happen in a row, the script can display and manage all of them independently without hitting TradingView's drawing limits or "forgetting" old levels.
4. Triple-Length Pivot Analysis
By using three different pivot lengths (3, 5, and 8), the SMT engine filters "Market Noise":
• Tertiary (3): For scalpers looking for quick entries.
• Primary (5): For standard intraday trend changes.
• Secondary (8): For major structural shifts and daily bias reversals.
5. Algorithmic Correlation Mapping
The script uses fixnan(ta.pivothigh(...)) to ensure that the SMT lines are pinned exactly to the historical pivots, even if the comparison symbol has gaps in its data. This ensures that the "slope" of the SMT line is mathematically accurate, providing a clear visual of the divergence.
⚒️How to use ICT Internal Levels
Step 1: Establish the "Daily Anchor" (Midnight Open)
Before looking for trades, identify your bias using the Midnight Opening Price.
• Look at the Momentum section of your Checklist.
• If the script says "BULL" (price is below Midnight Open), you are in a Discount and should only look for Longs.
• If it says "BEAR" (price is above Midnight Open), you are in a Premium and should only look for Shorts.
Step 2: Identify the "Draw" (EQH/EQL & BSL/SSL)
Now, find out where the market is likely to go.
• The Scanner: Check the Multi-TF EQH/EQL Table. If you see "EQH" across multiple timeframes (1m, 5m, 15m), that is a high-probability Draw on Liquidity (DOL).
• The Levels: Look for the Major BSL/SSL lines. These are your "Targets." The market will likely seek these pools of money before reversing.
Step 3: Wait for the "Time Window" (Macros)
Don't trade in the "dead zones." Wait for price to enter a Macro Session (the highlighted vertical zones).
• Institutional volatility is most consistent during these windows (e.g., 09:50–10:10 AM).
• The Goal: You want to see price reach your "Draw" (from Step 2) during this time window.
Step 4: Confirm the "Crack" (SMT Divergence)
As price approaches a BSL or SSL level within a Macro window, look for an SMT label.
• If the asset you are trading (e.g., NQ) sweeps a high, but the comparison symbol (e.g., ES) does not, the SMT engine will plot a line.
• This confirms that "Smart Money" is actively distributing, and a reversal is imminent.
Step 5: The "Entry Signal" (HTF iFVG)
Wait for the Change in State of Delivery.
• Look for an iFVG (Inversion Fair Value Gap) to form on the 1m or 5m chart.
• When price closes through a gap, the HTF IFVG item on your Checklist will turn green. This is your "Green Light" to enter the market.
Step 6: Final Audit (The Checklist Grade)
Before clicking "Buy" or "Sell," look at the RATING in the bottom corner of the checklist.
• A+ / A: Execute with full confidence. All pillars (Time, Price, SMT, and HTF) are aligned.
• B+: High probability, but perhaps you are trading outside of a Macro or against the HTF Delivery. Use smaller risk.
• C: Avoid this setup; it is likely a trap or a low-probability scalp.
Step 7: Risk Management (Breakeven)
Once you are in the trade:
• Monitor the Breakeven status on the checklist.
• Once it switches to "YES" (usually after 10 bars or a significant move), move your Stop Loss to your entry price. You now have a "Risk-Free" trade.
⚠️ Risk Disclaimer
The ICT Internal Levels V2 is an educational tool for market analysis and does not provide financial advice or guaranteed "buy/sell" signals. Trading involves significant risk, and you may lose some or all of your invested capital.
No Guarantees: Past performance does not guarantee future results. While this script uses advanced logic to identify confluences, all market analysis involves probability, not certainty.
User Responsibility: The author is not liable for any financial losses resulting from the use of this indicator. You are solely responsible for your trading decisions and should always use proper risk management. Use this script to supplement your own manual analysis—never rely on an indicator alone for execution.
Demand Index StrategyDescription:
This strategy is an automated trading system based on a faithful replica of the Sierra Chart "Demand Index" (Study ID 139). It utilizes the complex pressure/volume calculations developed by James Sibbet to identify high-probability reversal points from oversold territory.
📈 Strategy Logic: "The Deep Recovery"
The Demand Index combines price and volume to measure buying vs. selling pressure. This strategy specifically looks for a "Deep Recovery" scenario where selling pressure exhausts itself and momentum shifts back to the upside.
The Entry Conditions (Long Only):
Deep Oversold Zone: The Demand Index must have visited the deep negative zone (-45) within the recent lookback period. This ensures we are watching a heavily sold-off asset.
Recovery Trigger: The Demand Index must cross up through the recovery level (-30).
Momentum Confirmation: At the moment of the crossover, the Demand Index must be above its Signal Line (EMA 10) to confirm the immediate trend direction.
⚙️ Default Settings
Buy/Sell Power Length: 10 (Shorter term focus for reaction speed).
Buy/Sell MA Length: 10.
Signal EMA Length: 10.
Deep Level: -45 (Configurable).
Trigger Level: -30 (Configurable).
🛡️ Risk Management
The strategy includes built-in inputs for risk management:
Stop Loss: Defaults to 2.0%
Take Profit: Defaults to 4.0%
Note: These can be toggled off or adjusted in the settings menu.
🔍 About the Indicator Source
This script replicates the specific math found in Sierra Chart's documentation for Study ID 139. This includes the unique H0/L0 volatility scaling, where the calculation utilizes the High and Low of the very first loaded bar to normalize the exponential decay of the buying/selling pressure.
Disclaimer: Past performance is not indicative of future results. This strategy is provided for educational purposes and demonstrates how to automate James Sibbet's Demand Index based on specific Sierra Chart logic.
Demand Index##Description:
This indicator is a precise Pine Script replica of the "Demand Index" (Study ID 139) as found in the Sierra Chart trading platform.
Originally developed by James Sibbet, the Demand Index combines price and volume data to measure buying and selling pressure. It is often considered a leading indicator, anticipating price trend changes by identifying divergences between the price action and the volume flow.
##Key Features & Formula Logic
This script strictly follows the official documentation provided by Sierra Chart to ensure the values match the original platform as closely as possible.
Specific calculation details included in this port:
- P(HL2C): Uses the weighted average (High + Low + 2*Close).
- Range Calculation: Uses a Moving Range based on Max(High, 2) - Min(Low, 2).
- The H0/L0 Factor: A unique characteristic of the Sierra Chart formula is the use of H0 and L0 (the High and Low of the first loaded bar in history) to scale the volatility exponent. This script replicates that behavior.
Note: Because H0 and L0 depend on the start of the loaded data, values may shift slightly if the amount of historical data on your chart changes. This is consistent with how the study behaves in Sierra Chart.
- Complex Weighting: Calculates "Buy Power" and "Sell Power" using the specific exponential decay formula outlined in SC ID 139.
##Settings (Inputs)
- Buy/Sell Power Length (nBS): Length for smoothing Volume and Range (Default: 19).
- Buy/Sell Power MA Length: Length for the smoothing of the calculated Buy/Sell Power (Default: 19).
- Demand Index MA Length: Length for the final Simple Moving Average (SMA) of the Demand Index (Default: 19).
- MA Type: Choose the smoothing algorithm for intermediate steps (EMA, SMA, WMA, RMA). Default is EMA.
##How to Trade / Interpret
- Divergence: The most powerful signal. If price makes a new High but the Demand Index fails to reach a new High, it suggests Buying Power is weakening (Bearish Divergence). Conversely for Bullish Divergence.
- Zero Line Cross: A cross above zero indicates Buy Power > Sell Power (Bullish). A cross below zero indicates Sell Power > Buy Power (Bearish).
Disclaimer: This script is for educational and analytical purposes only. It is a code conversion based on public documentation of Sierra Chart Study ID 139.
Sierra Chart, best trading software, EVER!
With the best datafeet. Denali Exchange Data Feed.
Custom Dividers [louis]Custom Dividers is a streamlined utility designed for Multi-Timeframe Analysis (MTF). It allows you to visualize higher timeframe structures directly on lower timeframe charts by drawing infinite vertical lines at the open of new periods.
Unlike standard grid lines and other divider indicators, this has custom inputs, giving you complete control over non-standard timeframes (e.g., 90-minute cycles, 6-hour blocks, or 2-day periods).
🔑 Key Features
- 4 Independent Timeframe Slots: Configure up to four different vertical dividers simultaneously.
- Custom Minute Inputs (TF 1 & TF 2): Instead of restricting you to a dropdown, the first two slots allow you to input any integer for minutes.
Example: Set 90 for 90-minute cycle dividers.
Example: Set 360 for 6-hour dividers.
- Standard Timeframe Selectors (TF 3 & TF 4): Traditional dropdowns for standard periods like Daily (D), Weekly (W), or Monthly (M).
- Visual Customization:
Lines: Uses line.new() drawing logic to ensure dividers stretch infinitely from top to bottom, regardless of price scale.
Styles: Select from Solid, Dashed, or Dotted directly in the inputs.
Width & Color: Fully customizable to blend into your chart theme.
⚙️ How to Configure
Go to the Settings (Inputs Tab):
TF 1 & TF 2: Enter the specific number of minutes (e.g., 60 = 1 Hour, 240 = 4 Hours). Toggle the checkbox to Show/Hide.
TF 3 & TF 4: Select the timeframe period from the dropdown. Toggle the checkbox to Show/Hide.
Style: Choose your line style, color, and width.
Note: Since this indicator uses geometric drawings (line.new) to achieve full-height vertical lines, all visual settings (Color, Width, Style) are located in the Inputs Tab, not the Style tab.
Trader HQ - Multi Time Frame EMA📈 MTF 200 EMA Pro — Triple Timeframe Trend Filter
MTF 200 EMA Pro is a professional-grade multi-timeframe trend analysis tool designed to help traders identify high-probability directional bias across multiple timeframes.
This indicator allows you to overlay up to three independent 200-period Exponential Moving Averages from different timeframes onto one chart, providing instant insight into higher, medium, and lower timeframe trend alignment.
By stacking multiple 200 EMAs, traders can eliminate low-quality setups, avoid countertrend trades, and operate in harmony with dominant market structure.
🔧 Key Features
✅ Up to 3 independent 200 EMAs
✅ Individual timeframe selection per EMA
✅ Clean overlay on any chart
✅ Adjustable display per line
✅ Real-time multi-timeframe calculations
✅ Works on all markets and sessions
🎯 How to Use
This indicator is designed as a primary trend filter.
Example configuration:
• EMA 1 → Lower timeframe (Execution)
• EMA 2 → Medium timeframe (Momentum)
• EMA 3 → Higher timeframe (Structure)
Bullish Bias Example
Price above all 200 EMAs
Lower EMA above higher EMA
Pullbacks hold above structure
Bearish Bias Example
Price below all 200 EMAs
Lower EMA below higher EMA
Rejections at structure
When EMAs are aligned, trend probability increases.
📊 Best Use Cases
✔ Futures Trading
✔ Options & Equity Trading
✔ Forex & Crypto
✔ Prop Firm Evaluations
✔ Trend-Following Systems
✔ Momentum Strategies
⚠️ Risk Disclaimer
This indicator is a trend visualization and filtering tool only. It does not provide financial advice. Always apply proper risk management and confirm signals with your own strategy.
🛠 Technical Details
• Pine Script Version: v6
• Uses native TradingView security() for MTF accuracy
• Optimized for low-latency execution
Days Since Below PriceDays Since Below Price , IS AN IMPORTANT INDICATOR
It can spot Trends in INDIA VIX or S&P 500 VIS , if used properly.
teril Second Candle Cross Alert (Intrabar)teril Second Candle Cross Alert
teril Second Candle Cross Alert teril Second Candle Cross Alert teril Second Candle Cross Alert
teril Second Candle Cross Alert
Teril Second Candle Cross Alert (Intrabar)Teril Second Candle Cross Alert
Teril Second Candle Cross Alert
Teril Second Candle Cross Alert
Teril Second Candle Cross Alert
Terilss final EMA 20 Body Cross + 1:1 RR AlertEMA 20 Body Cross
EMA 20 Body Cross
EMA 20 Body Cross
EMA 20 Body Cross
IN-AlphaTradeThis is a high-conviction, “strong moves only” confluence system designed to filter out almost everything except the cleanest, highest-probability turning points.
A calm, patient sniper rather than a machine-gun scalper.
Less is more. Wait for the stars to align. When they do - act decisively
Terilsss Second Same Color Candle Break AlertSecond Same Color Candle Break Alert
Second Same Color Candle Break AlertSecond Same Color Candle Break Alert
Second Same Color Candle Break Alert
Second Same Color Candle Break Alert
Second Same Color Candle Break Alert
Apex Wallet - Bitcoin Halving Cycle & Profit ProjectionOverview The Apex Wallet Bitcoin Halving Cycle Profit is a strategic macro-analysis tool designed for Bitcoin investors and long-term holders. It provides a visual framework of Bitcoin's 4-year cycles by identifying past halving dates and projecting future ones automatically. The script highlights key accumulation and profit-taking windows based on historical cycle performance.
Dynamic Cycle Intelligence
Halving Milestones: Automatically detects and marks all major halving events (2012, 2016, 2020, 2024) with precise timestamps.
Predictive Projections: Using an estimated 1,460-day cycle, the script projects up to 30 future halving events to help plan long-term investment horizons.
Timeframe Optimization: Built specifically for Weekly (W) and Monthly (M) charts to provide a clean, high-level perspective of market structure.
Key Strategy Visuals
Profit Windows: Visualizes "Start" and "End" profit zones with automated vertical lines and color-coded labels based on user-defined offsets from the halving.
DCA Chain Signals: Identifies strategic Dollar Cost Averaging (DCA) points throughout the cycle to assist in disciplined accumulation.
Heatmap Shading: Features dynamic background shading that intensifies as the cycle progresses toward historical peak performance periods.
How to Use:
Switch to a Weekly or Monthly Bitcoin chart.
Use the Green Labels (Profit START) to identify early cycle strength.
Monitor the Red Labels (Profit END) for historical cycle exhaustion zones.
Scalp Breakout Predictor Pro - by Herman Sangivera (Papua)Scalp Breakout Predictor Pro by Herman Sangivera ( Papuan Trader )
Overview
The Scalp Breakout Predictor Pro is a high-performance technical indicator designed for scalpers and day traders who thrive on market volatility. This tool specializes in identifying "Squeeze" phases—periods where the market is consolidating sideways—and predicts the likely direction of the upcoming breakout using underlying momentum accumulation.
How It Works
The indicator combines three core mathematical concepts to ensure "Safe but Fast" entries:
Squeeze Detection (BB vs. KC): It monitors the relationship between Bollinger Bands and Keltner Channels. When Bollinger Bands contract inside the Keltner Channels, the market is in a "Squeeze" (represented by the gray background). This indicates that energy is being coiled for a massive move.
Momentum Accumulation (Pre-Signal): While the price is still moving sideways, the script analyzes linear regression momentum.
PRE-BULL: Momentum is building upwards despite price being flat.
PRE-BEAR: Momentum is fading downwards despite price being flat.
Breakout Confirmation: An entry signal is only triggered when the Squeeze "fires" (the price breaks out of the bands), ensuring you don't get stuck in a dead market for too long.
Key Features
Real-time Prediction Labels: Get early warnings (PRE-BULL / PRE-BEAR) to prepare for the trade before it happens.
Dynamic TP/SL Lines: Automatically calculates Take Profit and Stop Loss levels based on the Average True Range (ATR), adapting to the current market's "breath."
On-Screen Dashboard: A sleek table in the top-right corner displays the current market phase (Squeeze vs. Volatile), the predicted next move, and the current ATR value.
Pine Script V6 Optimized: Built using the latest version of TradingView’s coding language for maximum speed and compatibility.
Trading Rules
Preparation: When you see a Gray Background, the market is sideways. Watch the Dashboard for the "Potential" direction.
Anticipation: If a PRE-BULL or PRE-BEAR label appears, get ready to enter.
Execution: Enter the trade when the ENTRY BUY (Lime Triangle) or ENTRY SELL (Red Triangle) signal appears.
Exit: Follow the Green Line for Take Profit and the Red Line for Stop Loss.
Technical Settings
HMA Length: Adjusts the sensitivity of the trend filter (Hull Moving Average).
TP/SL Multipliers: Allows you to customize your Risk:Reward ratio based on ATR volatility.
Squeeze Length: Determines the lookback period for consolidation detection.
Disclaimer: Scalping involves high risk. Always test this indicator on a demo account before using it with live capital.
Crow RadarV2.1 (Full Blood)乌鸦全能操盘手系统 V2.1 (Full Blood) —— 专为 1% 的专业交易者打造
还在为 SOL 的频繁插针交学费?在算法面前,情绪一文不值。
产品逻辑:本系统基于**“微观压力+宏观联动”**双重引擎。
实时避险系统:当 BTC 联动走弱或卖压异常,全图背景自动泛红,这是你最后一条救命护城河。
冷酷猎手算法:内置信号冷却与趋势过滤,剔除 90% 的无效波动,只在共振时刻发出“🦅捕猎”指令。
战术控制面板:集成风险等级、BTC 偏离度及市场活跃度,一眼看穿主力底牌。
适合人群:追求稳定曲线、厌恶情绪化博弈、正在进行 100 单纪律训练的交易者。
行动呼吁:不开放源代码,仅限 Invite-only。评论区留下你的 TradingView ID,首批开放 5 个内测名额。
“当前为公测版,仅开放基础功能。想要获取‘高灵敏度信号’或加入‘实战带盘群’,请私信联系。”
Córas Trádálaí Uile-Babhta Raven V2.1 (Full Blood) – Deartha don 1% de thrádálaithe gairmiúla. An bhfuil tú fós ag íoc an phraghais as borradh praghais SOL go minic? Níl aon luach ar mhothúcháin i bhfianaise halgartaim. Loighic Táirge: Tá an córas seo bunaithe ar inneall déach **"micrea-bhrú + macra-nasc"**. Córas Fálaithe Fíor-Ama: Nuair a lagaíonn comhghaol BTC nó nuair a bhíonn brú díola neamhghnácha, casann cúlra iomlán na cairte dearg go huathoibríoch – do líne chosanta dheireanach. Algartam Sealgaire Gan Ruth: Cuireann fuarú comhartha agus scagadh treochtaí ionsuite deireadh le 90% de luaineachtaí neamhbhailí, ag eisiúint orduithe "seilge" ach amháin ag chuimhneacháin athshondais. Painéal Rialaithe Oirbheartaíochta: Comhtháthaíonn sé leibhéal riosca, diall BTC, agus gníomhaíocht mhargaidh, ag nochtadh straitéisí na bpríomhimreoirí go hachomair. Oiriúnach do: Trádálaithe atá ag lorg patrúin chairte cobhsaí, atá drogallach i leith trádála mothúchánach, agus atá ag dul faoi oiliúint disciplín 100-thrádála. Glao chun Gnímh: Foinse oscailte amháin, cuireadh-amháin. Fág d'Aitheantas TradingView sa chuid tuairimí do na chéad 5 shliotán tástála béite. "Is leagan béite poiblí é seo faoi láthair, agus níl ach feidhmeanna bunúsacha ar fáil. Chun an 'comhartha ard-íogaireachta' a fháil nó chun páirt a ghlacadh sa 'ghrúpa trádála praiticiúil', déan teagmháil linn trí theachtaireacht phríobháideach."
Goldbach w/ ParentPO3 Goldbach w/ Parent – Multi-Timeframe Dealing Range Framework
PO3 Goldbach Trifecta is a professional-grade market structure indicator built around the Power of Three (PO3) and Goldbach/IPDA level framework, designed to map where price is, what it is doing, and what it is likely to do next inside any dealing range.
This indicator is not a signal tool. It is a context and execution framework for traders who want consistent, repeatable structure across all markets and timeframes.
Core Features
🔹 True PO3 Dealing Range Calculation
Automatic PO3 ranges (3 → 531,441) with Hopiplaka price normalization
Works consistently across Forex, Indices, Crypto, Stocks, and Commodities
Optional range shifting to align structure with higher-timeframe intent
🔹 Full Goldbach / IPDA Level Mapping
Institutional reference levels:
RB, OB, FVG, LV, BR, MB, EQ
Internal equilibrium bands (0.23 / 0.35 / 0.47 / 0.53 / 0.65 / 0.77)
External stop-run levels (±0.111)
Clean visual hierarchy with customizable styles
🔹 Zone-Based Structure & Function Mapping
Each zone is visually separated and optionally labeled by function, not just percentage:
OB – engineer or take liquidity
/ Order-flow gates
Rebalance zone
Clear Discount / EQ / Premium framework at all times
Fair Value Gap (FVG) Intelligence
Automatic 3-candle FVG detection
ATR-filtered (noise-reduced)
Optional LV-only / FVG-only zone filtering
Smart lifecycle management:
Mid-fill or full-fill logic
Auto-expire or dim once filled
Designed to highlight actionable FVGs, not clutter
🔥 What Makes This Indicator Different
Parent-Aligned Nested PO3 Ranges (Key Differentiator)
Most PO3 or Goldbach tools treat each timeframe or range in isolation.
This does not.
This indicator introduces a Parent-Aligned Nested PO3 system, allowing you to:
Anchor multiple child PO3 ranges inside a higher-timeframe parent
See exactly where the current PO3 sits inside its parent:
Discount
Equilibrium
Premium
Visualize internal partitions of the parent range (x3, x9, x27)
Identify:
Partial acceptance
Failed expansions
Rebalancing behavior across timeframes
This solves one of the biggest PO3 problems:
“Price looks bullish here… but bearish on the higher PO3.”
With the parent feature, that contradiction disappears.






















