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.
Kitaran
Professional Clean BTC ChartInstitutional Price Structure is a clean, price-focused charting tool designed to provide traders with a clear and distraction-free view of market structure, trend context, and key reference levels.
The indicator replaces default candles with neutral grayscale price bars to reduce visual noise and improve readability during high-volatility conditions. Trend direction is defined using a fast and slow exponential moving average, offering immediate context without lag-heavy complexity.
A session-based VWAP is included as a core institutional benchmark, allowing traders to quickly assess mean reversion, premium/discount zones, and intraday bias. Daily high and low levels are plotted automatically to highlight key liquidity boundaries and reaction zones commonly respected by professional participants.
This tool is intentionally minimalist—free of oscillators and signals—to support discretionary decision-making, execution precision, and price-action-based strategies across intraday and swing timeframes.
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.
Absorption Call@subitrades Rough absorption indicator from volume + candle range, with breakout indication.
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.
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
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.
Precision Multi-Dimensional Signal System V2Precision Multi-Dimensional Signal System (PMSS) - Technical Documentation
Overview and Philosophical Foundation
The Precision Multi-Dimensional Signal System (PMSS) represents a systematic approach to technical analysis that integrates four distinct analytical dimensions into a cohesive trading framework. This script operates on the principle that market movements are best understood through the convergence of multiple independent analytical methods, rather than relying on any single indicator in isolation.
The system is designed to function as a multi-stage filtering funnel, where potential trading opportunities must pass through successive layers of validation before generating actionable signals. This approach is grounded in statistical theory suggesting that the probability of accurate predictions increases when multiple uncorrelated analytical methods align.
Integration Rationale and Component Synergy
1. Trend Analysis Layer (Dual Moving Average System)
Components: SMA-50 and SMA-200
Purpose: Establish primary market direction and filter against counter-trend signals
Integration Rationale:
SMA-50 provides medium-term trend direction
SMA-200 establishes long-term trend context
The dual-MA configuration creates a trend confirmation mechanism where signals are only generated in alignment with the established trend structure
This layer addresses the fundamental trading principle of "following the trend" while avoiding the pitfalls of single moving average systems that frequently generate whipsaw signals
2. Momentum Analysis Layer (MACD)
Components: MACD line, signal line, histogram
Purpose: Detect changes in market momentum and identify potential trend reversals
Integration Rationale:
MACD crossovers provide timely momentum shift signals
Histogram analysis confirms momentum acceleration/deceleration
This layer acts as the primary trigger mechanism, initiating the signal evaluation process
The momentum dimension is statistically independent from the trend dimension, providing orthogonal confirmation
3. Overbought/Oversold Analysis Layer (RSI)
Components: RSI with adjustable threshold levels
Purpose: Identify potential reversal zones and market extremes
Integration Rationale:
RSI provides mean-reversion context to momentum signals
Extreme readings (oversold/overbought) indicate potential exhaustion points
This layer prevents entry at statistically unfavorable price levels
The combination of momentum (directional) and mean-reversion (cyclical) indicators creates a balanced analytical framework
4. Market Participation Layer (Volume Analysis)
Components: Volume surge detection relative to moving average
Purpose: Validate price movements with corresponding volume activity
Integration Rationale:
Volume confirms the significance of price movements
Volume surge detection identifies institutional or significant market participation
This layer addresses the critical aspect of market conviction, filtering out low-confidence price movements
Synergistic Operation Mechanism
The script operates through a sequential validation process:
Stage 1: Signal Initiation
Triggered by either MACD crossover or RSI entering extreme zones
This initial trigger has high sensitivity but low specificity
Multiple trigger mechanisms ensure the system remains responsive to different market conditions
Stage 2: Trend Context Validation
Price must be positioned correctly relative to both SMA-50 and SMA-200
For buy signals: Price > SMA-50 > SMA-200 (bullish alignment)
For sell signals: Price < SMA-50 < SMA-200 (bearish alignment)
This layer eliminates approximately 40-60% of potential false signals by enforcing trend discipline
Stage 3: Volume Confirmation
Must demonstrate above-average volume participation (configurable multiplier)
Volume surge provides statistical confidence in the price movement
This layer addresses the "participation gap" where price moves without corresponding volume
Stage 4: Signal Quality Assessment
Each condition contributes to a quality score (0-100)
Higher scores indicate stronger multi-dimensional alignment
Quality rating helps users differentiate between marginal and high-conviction signals
Original Control Mechanisms
1. Signal Cooldown System
Purpose: Prevent signal overload and encourage trading discipline
Mechanism:
After any signal generation, the system enters a user-defined cooldown period
During this period, no new signals of the same type are generated
This reduces emotional trading decisions and filters out clustered, lower-quality signals
Empirical testing suggests optimal cooldown periods vary by timeframe (5-10 bars for daily, 10-20 for 4-hour)
2. Visual State Tracking
Purpose: Provide intuitive market phase identification
Mechanism:
After a buy signal: Subsequent candles are tinted light blue
After a sell signal: Subsequent candles are tinted light orange
This creates a visual "holding period" reference
Users can quickly identify which system state is active and for how long
Practical Implementation Guidelines
Parameter Configuration Strategy
Timeframe Adaptation:
Lower timeframes: Increase volume multiplier (2.0-3.0x) and use shorter cooldown periods
Higher timeframes: Lower volume requirements (1.5-2.0x) and extend confirmation periods
Market Regime Adjustment:
Trending markets: Emphasize trend alignment and MACD components
Range-bound markets: Increase RSI sensitivity and enable volatility filtering
Signal Level Selection:
Level 1: Suitable for active traders in high-liquidity markets
Level 2: Balanced approach for most market conditions
Level 3: Conservative setting for high-probability setups only
Risk Management Integration
Use quality scores as position sizing guides
Higher quality signals (Q≥80) warrant standard position sizes
Medium quality signals (60≤Q<80) suggest reduced position sizing
Lower quality signals (Q<60) recommend caution or avoidance
Empirical Limitations and Considerations
Statistical Constraints
No trading system guarantees profitability
Historical performance does not predict future results
System effectiveness varies by market conditions and timeframes
Maximum historical win rates in backtesting range from 55-65% in optimal conditions
Market Regime Dependencies
Strong Trending Markets: System performs best with clear directional movement
High Volatility/Ranging Markets: Increased false signal probability
Low Volume Conditions: Volume confirmation becomes less reliable
User Implementation Requirements
Time Commitment: Regular monitoring and parameter adjustment
Market Understanding: Basic knowledge of technical analysis principles
Discipline: Adherence to signal rules and risk management protocols
Technical Validation Framework
Backtesting Methodology
Multi-timeframe analysis across different market conditions
Parameter optimization through walk-forward analysis
Out-of-sample validation to prevent curve fitting
Performance Metrics Tracked
Win rate percentage across different signal qualities
Average win/loss ratio per signal category
Maximum consecutive wins/losses
Risk-adjusted return metrics
Innovative Contributions
Multi-Dimensional Scoring System
Original quality scoring algorithm weighting each dimension appropriately
Dynamic adjustment based on market conditions
Visual representation through signal labels and information panel
Integrated Information Dashboard
Real-time display of all system dimensions
Color-coded status indicators for quick assessment
Historical context for current signal generation
Adaptive Filtering Mechanism
Configurable strictness levels without code modification
User-adjustable sensitivity across all dimensions
Preset configurations for different trading styles
Conclusion and Appropriate Usage
The PMSS represents a sophisticated but accessible approach to multi-dimensional technical analysis. Its strength lies not in predictive accuracy but in systematic risk management through layered confirmation. Users should approach this tool as:
A Framework for Analysis: Rather than a black-box trading system
A Decision Support Tool: To be combined with fundamental analysis and market context
A Learning Instrument: For understanding how different analytical dimensions interact
The most effective implementation combines this technical framework with sound risk management principles, continuous learning, and adaptation to evolving market conditions. As with all technical tools, success depends more on the trader's discipline and judgment than on the tool itself.
Disclaimer: This documentation describes the technical operation of the PMSS indicator. Trading involves substantial risk of loss and is not suitable for all investors. Past performance is not indicative of future results. Users should thoroughly test any trading system in a risk-free environment before committing real capital.
Simplified Zones + Styled CALL/PUT TP/SL + Fixed Scoreboardaarons practice aarons practice aarons practice aarons practice aarons practice aarons practice aarons practice aarons practice aarons practice aarons practice aarons practice aarons practice aarons practice aarons practice aarons practice aarons practice
Daily Weekly Monthly ClosesFeatures:
Labels showing the close price for each period
Toggle visibility for day, week, and month closes
Customizable colors for each level
Adjustable line width and style (solid, dashed, dotted)
Labels appear on the right side of the chart
HVP Diario CC/CSPThis HVP Daily CC/CSP indicator is designed for traders seeking consistent income through options selling, transforming daily volatility into a clear, objective, and actionable guide: it shows you exactly when NOT to sell options due to weak premiums, when to take advantage of moderate volatility to safely sell PUTs, and when volatility is high enough to sell CALLs with superior returns. Everything is based on a percentile calculation that compares current volatility with its historical behavior, smoothed to eliminate noise and enhanced with an EMA that reveals the true market trend. If you want to trade with discipline, avoid bad weeks, and maximize your weekly income through simple, visual, and precise signals, this indicator is for you.
Institutional Top-Bottom by Herman Sangivera (Papua)Institutional Top-Bottom + Volume Profile by Herman Sangivera ( Papua )
📈 Component Description
Orange Line (POC - Point of Control): This represents the "Fair Value." Institutions view prices far above this line as "Expensive" (Premium) and prices below as "Cheap" (Discount).
Green/Red Boxes (Order Blocks): These are footprints left by big banks. A Green Box is a demand zone where institutional buying occurred, and a Red Box is a supply zone where institutional selling happened.
Institutional Labels: These appear when the RSI Divergence confirms that price momentum is fading, signaling a high-probability reversal (Top or Bottom).
🚀 Trading Strategy Guide
1. The High-Probability Buy Setup (Bottom)
Look for a "Confluence" of these three factors:
Location: Price is trading below the Orange POC line (Discount zone).
The Zone: Price enters or touches a Green Order Block.
The Signal: The "INSTITUTIONAL BUY" label appears.
Entry: Enter Buy at the close of the candle with the label.
Stop Loss: Place it just below the Green Order Block.
Take Profit: Target the Orange POC line or the nearest Red Order Block.
2. The High-Probability Sell Setup (Top)
Look for a "Confluence" of these three factors:
Location: Price is trading above the Orange POC line (Premium zone).
The Zone: Price enters or touches a Red Order Block.
The Signal: The "INSTITUTIONAL SELL" label appears.
Entry: Enter Sell at the close of the candle with the label.
Stop Loss: Place it just above the Red Order Block.
Take Profit: Target the Orange POC line or the nearest Green Order Block.
💡 Pro Tips for Accuracy
Timeframes: For the best results, use 15m for Scalping, and 1H or 4H for Day/Swing Trading.
Wait for the Candle Close: Labels are based on Pivot points. Always wait for the current candle to close to ensure the signal is locked and won't "repaint."
Avoid Flat Markets: This indicator works best when there is volatility. Avoid using it during "choppy" or sideways markets with very low volume.
Market Trend AnalyserThis indicator identifies high-quality entries using market structure concepts such as Change of Character (ChoCH) and Break of Structure (BOS), rather than relying on lagging traditional indicators.
How to use :
Enter trades on ChoCH and BOS signals (both long and short).
To reduce market noise, it is recommended to apply:
An ATR filter with a minimum value of 1
An ADX filter with a minimum value of 15
You may also enable a moving average (MA) filter to avoid trading against the prevailing trend.
Super OscillatorSuper Oscillator – Intraday Momentum
Super Oscillator is a momentum-based oscillator designed for intraday trading, optimized for 1-minute charts and fast market conditions.
The indicator uses a zero-centered momentum model with dynamic smoothing and clearly defined zones to help traders identify exhaustion, pullbacks, and momentum shifts without excessive noise.
Key Features
Zero-centered oscillator for immediate directional bias
Dynamic overbought and oversold zones
Neutral “dead zone” to avoid low-probability trades
Smoothed momentum line with signal line for timing entries
Optimized for scalping and short-term intraday trading
Fully compatible with TradingView Pine Script v6
How to Use
Overbought zone: Look for bearish reactions or momentum exhaustion
Oversold zone: Look for bullish reactions or pullbacks
Dead zone: Avoid trades when momentum is unclear
Use the oscillator as a confirmation tool, always with price action and structure
Best Use Case
Intraday scalping (1M–5M)
Futures markets (indices, metals)
NY session trading
Disclaimer
This indicator does not predict price direction. It measures momentum and exhaustion and should be used as part of a complete trading plan with proper risk management.
3-Daumen-Regel mit 4 Daumen, YTD-Linie, SMA200 und ATR
The script calculates the following values and displays them in a table:
- YTD line
- SMA
- ATR and ATR
- Difference to YTD
- Difference to SMA200
The table also includes a four-point rating for:
- the first 5 trading days of the year
- price relative to SMA
- price relative to YTD line
- the first month of the trading year
15 Zaman Kutusu ve 10 Zaman Acilisi15 Range Boxes & 10 Open Lines
This indicator is a comprehensive technical analysis tool designed to track specific time intervals (Sessions, Killzones) and critical opening prices on your chart.
Key Features:
15 Custom Range Boxes: Individual settings for color, time, and labels.
10 Open Price Lines: Track daily, weekly, or session opens.
Smart History Limit: "Son X Kutuyu Goster" feature preventing lag and flickering.
Pips Display: Automatically calculates and displays the range width in pips.
Minimalist Mode: Hides details when "Cok Kucuk" label size is selected.
Language: Fully Turkish menu settings.
Note: Inspired by Nephew Sam's concept, coded from scratch with performance optimizations and additional features.
DISCLAIMER This indicator is for educational purposes only. It does not constitute financial advice or trading signals. Use at your own risk.






















