MTF Stochastic Range FinderThis indicator compares Stochastic RSI from 2 timeframes to signal possible reversals. Default 5 minute and 2 minute. Both Stochastic RSIs are customizable.
Allows for 6 support/resistance lines and allows a tolerance to filter proximity to levels for entry.
Can filter price level by manual support/resistance levels and/or VWAP
Göstergeler ve stratejiler
Chermane's ATM ModelChermane's ATM Model Indicator
Designed For:
ICT-style trading (liquidity runs, time-based models)
NY session scalping and day trading
Precision execution near institutional levels
Concept by: ChermaneTrades
The model operates around the New York trading day, focusing on liquidity formed during the pre-market hours (7:00-9:30 AM EST) with trade execution opportunities after the market open. The system identifies significant highs and lows, tracks their interaction with price, and provides visual tools for potential reversal scenarios.
Core Strategy Rules
Identify Key Levels: Find the highest high and lowest low formed between 7:00-9:30am EST
Wait for Sweep: Observe if price sweeps either the highest high or lowest low
Look for Reversal Signs: Seek confirmation patterns suggesting potential reversal
Trade Execution: Enter trades targeting the opposing liquidity zone after 7am
Time Window: Valid entry period is strictly 9:30-10:30am EST
Indicator Components
1. Opening Price Reference Lines
Midnight (00:00) and 8:30am Opening Prices: Key reference levels
Customizable display options (visibility, labels, colors, styles)
2. Vertical Session Markers
7:00am EST Line: Marks start of observation period
00:00 Line: Optional midnight marker
3. Liquidity Sweep Detection
Buyside (Highest High): Tracked between 7:00-9:29am
Sellside (Lowest Low): Tracked between 7:00-9:29am
Visual alerts when levels are broken (with customizable line styles)
4. Session Highlighting
9:30-10:00am: First potential entry window
10:00-11:30am: Extended observation period
5. Dealing Range (Quadrants)
Automatically draws Fibonacci-based levels (0%, 25%, 50%, 75%, 100%) after liquidity break
Levels extend dynamically as price moves beyond initial range
Customizable display options for each level
6. FVG/IFVG Detection
Identifies Fair Value Gaps (FVGs) and Inverted Fair Value Gaps (IFVGs)
Configurable minimum gap size and extension period
Color-coded boxes for bullish FVGs (green), bearish FVGs (red), and IFVGs (yellow)
Enhancement Factors
Model works best when considering the relationship to midnight and 8:30 opening prices
Opening range gaps provide additional confirmation
Works particularly well when price is above both opening prices and takes out the highest high
When the Model Fails
Strong trending days
High resistance/consolidation days
Best to avoid trading or use lower leverage during these conditions
Practical Implementation
The indicator provides visual tools to:
Identify key liquidity levels formed in the early session
Track how price interacts with these levels
Highlight optimal trading windows
Provide reference points for trade decisions
The Pine Script code handles all the time-based calculations automatically, adjusting for the New York timezone and properly marking the relevant sessions and price levels.
Backtesting Recommendation
As suggested in the rules, traders should:
Review past 2 months of morning sessions
Annotate charts as if trading live
Identify successful and unsuccessful setups
Build confidence by observing the model's behavior in different market conditions
MTF-- K FOSU FX (1M, 1W, 1D)Quickly identify Weekly, Monthly, and Daily bias for stronger confluence
King Amun1One of the strongest indicators for trading gold, and you should combine it with King Amun 1.
King Amun 3King Amun 3
One of the strongest indicators for trading gold, and you should combine it with King Amun 1.
Reversal Scalper – Adib NooraniThe Reversal Scalper is an indicator designed to identify potential reversal zones based on supply and demand dynamics. It uses smoothed stochastic logic along with ATR bands, to reduce noise and highlight areas where momentum may be weakening, signaling possible market turning points.
🔹 Smooth, noise-reduced stochastic oscillator
🔹 Custom zones to highlight potential supply and demand imbalances
🔹 Non-repainting, compatible across all timeframes and assets
🔹 Visual-only tool — intended to support discretionary trading decisions
This oscillator assists scalpers and intraday traders in tracking subtle shifts in momentum, helping them identify when a market may be preparing to reverse — always keeping in mind that trading is based on probabilities, not certainties.
📘 How to Use the Indicator Efficiently
For Reversal Trading:
Buy Setup
– When the blue line dips below the 20 level, wait for it to re-enter above 20.
– Look for reversal candlestick patterns (e.g., bullish engulfing, hammer, or morning star).
– Enter above the pattern’s high, with a stop loss below its low.
Sell Setup
– When the blue line rises above the 80 level, wait for it to re-enter below 80.
– Look for bearish candlestick patterns (e.g., bearish engulfing, inverted hammer, or evening star).
– Enter below the pattern’s low, with a stop loss above its high.
🛡 Risk Management Guidelines
Risk only 0.5% of your capital per trade
Book 50% profits at a 1:1 risk-reward ratio
Trail the remaining 50% using price action or other supporting indicators
LSMAsThis indicator calculates and plots two Least Squares Moving Averages (LSMA) based on different lengths and a Smoothed Moving Average (SMMA) of the longer LSMA.
Inputs
lengthA : Period length for the first, longer LSMA.
lengthB : Period length for the second, shorter LSMA.
signAl : Signal period used in SMMA smoothing.
Calculations
LSMA-A and LSMA-B : Calculates the linear regression (least squares) of source over lengthA and lengthB respectively, with no offset. These represent two LSMAs, one slow and one fast.
SMMA : This is a smoothed moving average of the longer LSMA (LSMA-A).
Purpose
This indicator helps traders identify trend directions and momentum by using two least squares regression lines of different lengths to capture short- and long-term trends in price. The SMMA smoothing of the longer LSMA may be used as a signal or confirmation line to reduce noise and produce smoother signals.
It generates buy and sell signals based on the intersection of the LSMA-A and SMMA. If the LSMA-A crosses the SMMA upwards, a BUY signal is generated; if it crosses the SMMA downwards, a SELL signal is generated.
The LSMA-B, which is short-term, can be used for wave analysis. When a peak forms, a high is observed on the chart, and when a valley forms, a low is observed. This allows us to determine whether the wave is rising or falling.
Summary
Two LSMAs are calculated: one slow (lengthA), one fast (lengthB).
A smoothed moving average (SMMA) of the slow LSMA is computed using the signal length (signAl).
All three curves are overlaid on the price chart for visual trend and momentum analysis.
趨勢突破交易 [CK Trading] 趨勢突破交易
指標介紹
厭倦了在盤整中被反覆掃損，或在趨勢啟動時猶豫不決嗎？
市場上充斥著落後、充滿噪音的指標，它們讓交易者陷入「追高殺低」的困境，並在關鍵時刻提供錯誤的訊號。無數交易者因為被假突破欺騙、在無趨勢的行情中消磨掉本金而最終離場。
「趨勢突破交易 」 是一套專為解決這些核心痛點而設計的專業級交易輔助系統。它不是另一個簡單的移動平均線或傳統指標的組合，而是一個經過精心構建、旨在精準定位趨勢起點的決策框架。
核心特色 (Core Features)
智慧降噪核心 (Intelligent Noise-Reduction Core)：
我們的系統內建一個先進的價格數據處理引擎，能有效過濾掉市場的隨機波動與噪音。它為您呈現出更平滑、更真實的潛在趨勢，讓您能洞察市場的主要流向，而不是被短期的價格毛刺所干擾。
動態動能偵測 (Dynamic Momentum Detection)：
真正的趨勢始於動能的爆發。本指標配備了自適應的波動偵測模組，它能動態識別出市場從「盤整」到「趨勢」的關鍵轉折點。當價格展現出超越正常波動的突破性力量時，系統才會將其視為潛在的交易機會。
雙重驗證進場引擎 (Dual-Validation Entry Engine)：
這是我們系統的獨家優勢。一個訊號的可靠性取決於多重條件的共振。我們的進場引擎要求**「趨勢方向」與「突破動能」**必須同時得到驗證，形成一致的信號。這種雙重確認機制極大地提高了訊號的可靠性，旨在為您過濾掉大量的假突破和弱趨勢。
趨勢鎖定濾波器 (Trend-Locking Filter)：
一旦趨勢確立，最大的挑戰就是如何「抱住」獲利單。本系統內建趨勢鎖定功能，當一個明確的多頭或空頭訊號出現後，它會自動過濾掉逆勢的微小波動，幫助您專注於當前的主要趨勢，避免因市場的正常回調而被過早地洗出場。
這套系統能為您帶來什麼？
提升訊號勝率：透過獨家的雙重驗證機制，專注於高機率的交易機會。
清晰的進出場點：告別模棱兩可的猜測，系統以明確的視覺化標籤和線條，提供結構化的交易計畫（進場、停損、止盈目標）。
過濾市場噪音：讓您專注於真正重要的趨勢，而不是迷失在混亂的盤整行情中。
紀律化交易：內建基於市場波動率的風險管理工具，幫助您養成一致的倉位與風險控制習慣。
解放您的時間：搭配內建的警報功能，無需時刻盯盤，讓系統成為您24小時的市場監測哨兵。
本指標基於歷史數據回測，所示數據僅供參考，不保證未來獲利。使用者需自行承擔交易手續費、鏈上Gas費、波動與合約漏洞風險。指標僅為交易輔助，不構成投資建議，任何因使用本指標導致的損失，開發者不承擔責任。高波動市場交易風險極高，請審慎評估後使用。
Trend Breakout Indicator Introduction
Tired of being whipsawed in choppy markets and hesitating when a real trend begins?
The market is flooded with lagging, noisy indicators that trap traders into chasing highs and selling lows. Countless traders are ultimately forced out of the game, deceived by false breakouts and bleeding their capital in directionless, choppy conditions.
The Trend Breakout system is a professional-grade trading tool engineered specifically to solve these core challenges. This is not just another repackaged combination of standard indicators; it is a meticulously constructed framework designed to precisely identify the inception of a new trend.
Core Features
Intelligent Noise-Reduction Core:
Our system integrates an advanced data processing engine that effectively filters out random market noise and volatility spikes. It presents a smoother, more authentic view of the underlying trend, allowing you to see the market's true direction without being distracted by insignificant price chatter.
Dynamic Momentum Detection:
True trends begin with a burst of momentum. This indicator is equipped with an adaptive volatility module that dynamically identifies the critical transition from a consolidation phase to a trending phase. Only when price demonstrates exceptional force, breaking beyond its normal volatility threshold, is it considered a potential trading opportunity.
Dual-Validation Entry Engine:
This is the proprietary advantage of our system. A high-quality signal requires the confluence of multiple conditions. Our entry engine demands that both Trend Direction and Breakout Momentum are confirmed and aligned simultaneously. This dual-validation mechanism is designed to significantly increase the reliability of our signals, filtering out a vast majority of false breakouts and weak moves.
Trend-Locking Filter:
Once a trend is established, the greatest challenge is holding on to a winning position. The system features a built-in trend-locking mechanism. After a clear long or short signal is confirmed, it automatically filters out minor counter-trend fluctuations, helping you stay focused on the primary trend and avoid being prematurely shaken out by normal market pullbacks.
What This System Delivers to You
Higher-Probability Signals: Focus on high-conviction trade setups through our unique dual-validation engine.
Clarity and Confidence: Eliminate guesswork with a structured trading plan, featuring clear visual cues for your entry, stop-loss, and profit targets.
Market Noise Filtration: Allow you to focus on what truly matters—the underlying trend—instead of getting lost in chaotic market conditions.
Disciplined Trading: Foster consistent risk management habits with an integrated system based on real-time market volatility.
Free Up Your Time: Use the built-in alert functions so you don't have to watch the charts all day. Let the system act as your 24/7 market watchtower.
Elite Zone Master Pro - Advanced Multi-Session Trading System🚀 Elite Zone Master Pro - Advanced Multi-Session Trading System
🎯 ORIGINALITY & UNIQUE VALUE PROPOSITION
Elite Zone Master Pro is NOT a simple mashup of existing indicators. It's a proprietary trading system that combines three distinct methodologies into a unified, synergistic approach:
Multi-Session Zone Analysis - Original algorithm for tracking global market sessions
Dynamic Opening Range Breakout (ORB) - Enhanced ORB with bias-aware signal filtering
Advanced Fair Value Gap Detection - Proprietary FVG identification with smart mitigation tracking
🔧 Why This Combination Works
The power lies in how these components work together, not separately:
Session zones provide market context and volatility windows
ORB system identifies key breakout levels during optimal timeframes
FVG detection pinpoints precise entry locations within the ORB framework
Integrated bias system filters signals based on range direction momentum
🧠 DETAILED METHODOLOGY & CALCULATIONS
🌍 1. Multi-Session Zone Framework
What it does: Tracks and visualizes three major global trading sessions simultaneously.
How it works:
Dynamic zone tracking algorithm that calculates session highs/lows in real-time
Adaptive box rendering that expands/contracts based on actual price movement
Session overlap detection for identifying high-volatility periods
Time-weighted zone positioning using custom timezone calculations
Original concepts:
Simultaneous multi-session visualization (not found in standard session indicators)
Dynamic zone expansion based on volatility, not fixed time periods
Cross-session momentum analysis for bias determination
🎯 2. Enhanced Opening Range Breakout System
What it does: Identifies breakout opportunities from predefined session ranges with intelligent bias filtering.
How it works:
Multi-session ORB calculation: Supports US (16:30-16:45), EU (10:00-10:15), Asian (03:00-03:15), and custom sessions
Dynamic range establishment: Range is built in real-time during active session periods
Bias-aware signal filtering: Two-tier breakout system based on range midpoint momentum
Range direction analysis: Compares current range midpoint to previous session's midpoint
Original methodology:
Range Bias Calculation:
- If Current_Midpoint > Previous_Midpoint = Bullish Bias (+1)
- If Current_Midpoint < Previous_Midpoint = Bearish Bias (-1)
- If Current_Midpoint = Previous_Midpoint = Neutral Bias (0)
Signal Logic:
- Bullish Bias: Standard breakout above range high
- Bearish Bias: Enhanced breakout (range_high + 0.5 * range_width) for bullish signals
- Neutral Bias: Standard breakouts both directions
⚡ 3. Advanced Fair Value Gap (FVG) Detection
What it does: Identifies and tracks fair value gaps with automatic mitigation detection.
How it works:
Three-bar gap analysis: Compares current bar relationships to identify true gaps
Dynamic threshold calculation: Auto-adjusting sensitivity based on market volatility
Smart mitigation tracking: Automatically removes filled gaps from display
Directional bias integration: Color-codes gaps based on their directional implication
Proprietary algorithms:
Bullish FVG Criteria:
- Current_Low > High (gap condition)
- Close > High (confirmation)
- (Current_Low - High ) / High > Threshold (significance filter)
Bearish FVG Criteria:
- Current_High < Low (gap condition)
- Close < Low (confirmation)
- (Low - Current_High) / Current_High > Threshold (significance filter)
Mitigation Logic:
- Bullish FVG: Mitigated when Close < FVG_Low
- Bearish FVG: Mitigated when Close > FVG_High
📈 4. Session-Based Moving Average System
What it does: Calculates moving averages that reset and adapt to session boundaries.
How it works:
Session-aware length calculation: Effective length = min(bars_since_session_start, user_length)
Multiple MA types: EMA, SMA, RMA, WMA, VWMA with session-specific calculations
Dynamic smoothing: Adapts to session length for consistent signals across different session durations
🔄 INTEGRATED SYSTEM SYNERGY
🎯 How Components Work Together
Context Layer: Session zones provide market timing context
Setup Layer: ORB system identifies breakout opportunities within optimal timeframes
Entry Layer: FVG detection pinpoints precise entry levels
Filter Layer: Bias system ensures alignment with momentum direction
Confirmation Layer: Session MA provides trend confirmation
🧭 Signal Generation Process
Step 1: Session Analysis
- Identify active trading session
- Calculate session volatility metrics
- Establish range boundaries
Step 2: Range Bias Calculation
- Compare current vs previous range midpoints
- Assign directional bias (-1, 0, +1)
- Adjust breakout thresholds accordingly
Step 3: Breakout Detection
- Monitor price interaction with range boundaries
- Apply bias-specific breakout criteria
- Generate preliminary signals
Step 4: FVG Confirmation
- Scan for fair value gaps within range
- Validate gap significance using dynamic thresholds
- Provide entry refinement opportunities
Step 5: Signal Validation
- Cross-reference with session MA direction
- Ensure alignment with overall bias
- Output final trading signals
📊 PRACTICAL IMPLEMENTATION
🎯 Trading Strategy Framework
Setup Phase:
Configure session times for your timezone
Enable preferred sessions (US/EU/Asian)
Adjust FVG sensitivity based on instrument volatility
Execution Phase:
Wait for range establishment during active session
Monitor for bias-aligned breakouts
Look for FVG retest opportunities
Enter trades with ORB-based stop losses
Risk Management:
Stop loss placement: Outside ORB range boundaries
Position sizing: Based on range width volatility
Trade direction: Must align with calculated range bias
🎨 UNIQUE VISUAL IMPLEMENTATION
📊 Advanced Visualization Features
Multi-layered zone rendering with transparency controls
Dynamic range boxes that adapt to price movement
Smart label positioning to avoid chart clutter
Color-coded bias indication through range fills
Progressive FVG display with automatic cleanup
🔧 TECHNICAL SPECIFICATIONS
⚙️ Performance Optimizations
Efficient array management for FVG tracking
Memory optimization through historical data cleanup
Smart rendering to prevent chart overload
Error handling for edge cases and invalid timeframes
📈 Compatibility
All timeframes under 1 day
All instruments (Forex, Stocks, Crypto, Futures)
All chart types with overlay capability
Mobile and desktop platform support
🏆 WHAT MAKES THIS DIFFERENT FROM OTHER INDICATORS
❌ Standard ORB indicators: Only show basic range breakouts without bias consideration
❌ Basic FVG indicators: Don't integrate with session analysis or range systems
❌ Session indicators: Simply highlight time periods without actionable trading signals
❌ Moving average indicators: Don't adapt to session dynamics
✅ Elite Zone Master Pro: Combines all elements with proprietary logic for a complete trading system
📋 USE CASES & MARKET APPLICATION
🎯 Primary Applications
Forex day trading during major session overlaps
Index futures scalping using session-specific ranges
Cryptocurrency swing trading with 24/7 session analysis
Stock market opening range breakout strategies
📊 Performance Characteristics
Best performance: During high-volatility session transitions
Optimal timeframes: 1m to 4H for intraday trading
Risk-reward ratios: Typically 1:2 to 1:4 based on range width
Win rate: Higher probability when all components align
This indicator represents months of development combining institutional trading concepts with retail accessibility. It's not just another indicator - it's a complete trading methodology in one comprehensive tool.
cd_indiCATor_CxGeneral:
This indicator is the redesigned, simplified, and feature-enhanced version of the previously shared indicators:
cd_cisd_market_Cx, cd_HTF_Bias_Cx, cd_sweep&cisd_Cx, cd_SMT_Sweep_CISD_Cx, and cd_RSI_divergence_Cx.
Within the holistic setup, the indicator tracks:
• HTF bias
• Market structure (trend) in the current timeframe
• Divergence between selected pairs (SMT)
• Divergence between price and RSI values
• Whether the price is in an important area (FVG, iFVG, and Volume Imbalance)
• Whether the price is at a key level
• Whether the price is within a user-defined special timeframe
The main condition and trigger of the setup is an HTF sweep with CISD confirmation on the aligned timeframe.
When the main condition occurs, the indicator provides the user with a real-time market status summary, enriched with other data.
________________________________________
What’s new?
-In the SMT module:
• Triad SMT analysis (e.g.: NQ1!, ES1!, and YM1!)
• Dyad SMT analysis (e.g.: EURUSD, GBPUSD)
• Alternative pair definition and divergence analysis for non-correlated assets
o For crypto assets (xxxUSDT <--> xxxUSDT.P) (e.g.: SOLUSDT.P, SOLUSDT)
o For stocks, divergence analysis by comparing the asset with its value in another currency
(BIST:xxx <--> BIST:xxx / EURTRY), (BAT:xxx <--> BAT:xxx / EURUSD)
-Special timeframe definition
-Configurable multi-option alarm center
-Alternative summary presentation (check list / status table / stickers)
________________________________________
Details and usage:
The user needs to configure four main sections:
• Pair and correlated pairs
• Timeframes (Auto / Manual)
• Alarm center
• Visual arrangement and selections
Pair Selections:
The user should adjust trading pairs according to their trade preferences.
Examples:
• Triad: NQ1!-ES1!-YM1!, BTC-ETH-Total3
• Dyad: NAS100-US500, XAUUSD-XAGUSD, XRPUSDT-XLMUSDT
Single pairs:
-Crypto Assets:
If crypto assets are not in the triad or dyad list, they are automatically matched as:
Perpetual <--> Spot (e.g.: DOGEUSDT.P <--> DOGEUSDT)
If the asset is already defined in a dyad list (e.g., DOGE – SHIB), the dyad definition takes priority.
________________________________________
-Stocks:
If stocks are defined in the dyad list (e.g.: BIST:THYAO <--> BIST:PGSUS), the dyad definition takes priority.
If not defined, the stock is compared with its value in the selected currency.
For example, in the Turkish Stock Exchange:
BIST:FENER stock, if EUR is chosen from the menu, is compared as BIST:FENER / OANDA:EURTRY.
Here, “OANDA” and the stock market currency (TRY) are automatically applied for the exchange rate.
For NYSE:XOM, its pair will be NYSE:XOM / EURUSD.
________________________________________
Timeframes:
By default, the menu is set to “Auto.” In this mode, aligned timeframes are automatically selected.
Aligned timeframes (LTF-HTF):
1m-15m, 3m-30m, 5m-1h, 15m-4h, 1h-D, 4h-W, D-M
Example: if monitoring the chart on 5m:
• 1h sweep + 5m CISD confirmation
• D sweep + 1h CISD confirmation (bias)
• 5m market structure
• 1h SMT and 1h RSI divergence analysis
For manual selections, the user must define the timeframes for Sweep and HTF bias.
FVG, iFVG, and Volume Imbalance timeframes must be manually set in both modes.
________________________________________
Alarm Center:
The user can choose according to preferred criteria.
Each row has options.
“Yes” → included in alarm condition.
“No” → not included in alarm condition.
If special timeframe criteria are added to the alarm, the hour range must also be entered in the same row, and the “Special Zone” tab (default: -4) should be checked.
Key level timeframes and plot options must be set manually.
Example alarm setup:
Alongside the main Sweep + CISD condition, if we also want HTF bias + Trend alignment + key level (W, D) and special timeframe (09:00–11:00), we should set up the menu as follows:
________________________________________
Visual Arrangement and Selections:
Users can control visibility with checkboxes according to their preferences.
In the Table & Sticker tab, table options and labels can be controlled.
• Summary Table has two options: Check list and Status Table
• From the HTF bias section, real-time bias and HTF sweep zone (optional) are displayed
• The RSI divergence section only shows divergence analysis results
• The SMT 2 sub-section only functions when triad is selected
Labels are shown on the bar where the sweep + CISD condition occurs, displaying the current situation.
With the Check box option, all criteria’s real-time status is shown (True/False).
Status Table provides a real-time summary table.
Although the menu may look crowded, most settings only need to be adjusted once during initial use.
________________________________________
What’s next?
• Suggestions from users
• Standard deviation projection
• Mitigation/order blocks (cd special mtg)
• PSP /TPD
________________________________________
Final note:
Every additional criterion in the alarm settings will affect alarm frequency.
Multiple conditions occurring at the same time is not, by itself, sufficient to enter a trade—you should always apply your own judgment.
Looking forward to your feedback and suggestions.
Happy trading! 🎉
Bullish Harami / Engulfing with Arrows with alerts by StephBullish Candles that you can use to make alerts with.
Alert: 10m FU at Top of HourWhen an FU happens on the hour, it will typically give a good indication of direction
Pair this with negation and HCS
Stock Valuation Models - Professional Investment Analysis Tool📊 Overview
Stock Valuation Models is a comprehensive financial analysis indicator that combines multiple valuation methodologies to calculate intrinsic stock value. This professional-grade tool implements 7 different valuation methods , risk assessment framework, and financial health metrics to provide data-driven investment decisions.
🎯 Key Features
📈 Multiple Valuation Methods
Graham's Valuation - Conservative asset-based approach by Benjamin Graham
Multiples Valuation - Market-based P/E and P/B ratios from sector peers
Discounted Cash Flow (DCF) - Future cash flow projections with present value calculation
Dividend Discount Model - Gordon Growth Model for dividend-paying stocks
FCFF Model - Enterprise-level Free Cash Flow to Firm analysis
EVA Model - Economic Value Added measurement above cost of capital
Advanced Multiples - Enterprise Value ratios (EV/EBITDA, EV/Sales)
🏥 Financial Health Metrics
Altman Z-Score - Bankruptcy prediction and financial distress assessment
Piotroski F-Score - 9-point fundamental strength evaluation
Beneish M-Score - Earnings manipulation detection system
Magic Formula - Joel Greenblatt's combined quality and value scoring
⚖️ Risk Assessment Framework
Multi-Factor Risk Scoring - Fundamental, market, quality, and data quality risks
Risk-Adjusted Margin of Safety - Dynamic safety thresholds based on risk level
Position Sizing Guidance - Risk-appropriate investment allocation recommendations
🔍 Data Quality System
Real-Time Quality Tracking - Visual warnings for insufficient data
Fallback Methodology - Alternative calculations when primary data unavailable
Confidence Scoring - Method agreement and data quality assessment
⚙️ Settings & Parameters
Main Settings
Margin of Safety (%) - Minimum discount required before buying (Default: 15%)
Table Font Size - Choose between "Small" and "Normal" text size
Valuation Methods
Graham's Valuation - Best for mature, stable companies with strong fundamentals
Multiples Valuation - Compares to industry peers using dynamic sector ratios
Discounted Cash Flow - Ideal for growth companies with predictable cash flows
Dividend Discount Model - For consistent dividend-paying stocks (disabled by default)
FCFF Model - Enterprise approach for leveraged companies and M&A analysis
EVA Model - Measures value creation above cost of capital
Advanced Multiples - Wall Street standard EV ratios for professional analysis
Additional Metrics
Magic Formula - Combined quality and value scoring system
Altman Z-Score - Bankruptcy risk assessment (Safe >2.99, Distress <1.81)
Piotroski F-Score - Fundamental quality score (Excellent ≥8, Poor <4)
Beneish M-Score - Manipulation detector (High Risk >-2.22, Low Risk ≤-2.22)
🔧 How It Works
Dynamic Calculations
Sector-Based Ratios - Automatically detects company sector and applies appropriate valuation multiples
Economic Integration - Uses real-time risk-free rates, VIX volatility, and GDP growth data
Quality Weighting - Adjusts method weights based on company type (growth/mature/distressed) and market conditions
Negative Value Handling - Shows actual calculated values but excludes negative results from weighted average
Risk-Adjusted Analysis
VIX Integration - Higher market volatility increases required margin of safety
Sector Risk Premiums - Energy and Financial sectors get higher risk multipliers
Quality Adjustments - High Piotroski F-Score companies get lower risk ratings
Data Quality Impact - Insufficient data increases risk score and safety requirements
Visual Display
Horizontal Table Layout - Organized by method groups (Valuation → Results → Risk → Health)
Color-Coded Results - Green/Yellow/Red indicators for risk levels and recommendations
Warning Symbols - ⚠️ for data quality issues, ❌ for excluded negative values
Dollar Amounts - Both percentage and dollar-based margin of safety calculations
📈 Interpretation Guide
💎 Intrinsic Value Results
Weighted Average - Combines all enabled methods based on intelligent weighting
Confidence Level - High/Medium/Low based on method agreement and data quality
Method Count - Number of successful valuation calculations
🎯 Margin of Safety
Percentage - Current discount/premium to calculated intrinsic value
Dollar Amount - Absolute dollar difference per share
Buy Price - Risk-adjusted target purchase price
⚖️ Risk Assessment
Low Risk (Green) - Normal position sizing (3-5%)
Medium Risk (Yellow) - Reduced position sizing (1-3%)
High Risk (Red) - Minimal position sizing (<1%)
📊 Recommendations
STRONG BUY - Low risk + adequate margin + high confidence
BUY - Meets risk-adjusted margin requirements
HOLD - Positive margin but higher risk
SELL - Insufficient margin for risk level
🎓 Educational Tooltips
Every parameter includes detailed explanations accessible by hovering over the setting. Learn about:
When to use each valuation method
How different metrics are calculated
Interpretation thresholds and ratings
Risk factors and quality indicators
💡 Best Practices
🚀 For Growth Stocks
Enable DCF and Advanced Multiples
Focus on Piotroski F-Score for quality assessment
Use higher margin of safety due to volatility
💰 For Value Stocks
Enable Graham's and Multiples Valuation
Check Altman Z-Score for financial stability
Consider Magic Formula rating
📈 For Dividend Stocks
Enable Dividend Discount Model
Focus on sustainable dividend coverage
Check for consistent dividend history
⚠️ For Distressed Situations
Prioritize Graham's asset-based approach
Monitor Altman Z-Score closely
Use higher risk-adjusted margins
⚠️ Important Notes & Data Limitations
📅 Data Timing Considerations
Fundamental Data Lag - Company financial data (earnings, cash flows, balance sheet items) may be 1-3 months behind current market conditions
Quarterly Reporting Delays - Most recent available data reflects the company's situation as of the last filed quarterly/annual report
Market vs. Fundamentals Gap - Stock prices react instantly to news, while fundamental data updates occur periodically
Accuracy Impact - Recent business changes, market events, or company developments may not be reflected in current calculations
🔧 Technical Limitations
Data Dependencies - Requires fundamental data availability from TradingView
Quality Warnings - Pay attention to ⚠️ symbols indicating insufficient data
Risk Context - Always consider risk score in investment decisions
Market Conditions - Tool automatically adjusts for market volatility (VIX)
Sector Specificity - Ratios automatically adjust based on company's sector
💡 Best Practice Recommendations
Supplement with Current Analysis - Always combine with recent news, earnings calls, and management guidance
Monitor Data Quality - Check when the underlying financial data was last updated
Consider Market Context - Factor in recent market events that may affect company performance
Use as Starting Point - Treat calculations as baseline analysis requiring additional research
🔗 Methodology
Based on established academic research and professional practices:
Benjamin Graham - Security Analysis principles
Joel Greenblatt - Magic Formula methodology
Edward Altman - Z-Score bankruptcy prediction
Joseph Piotroski - Fundamental analysis scoring
Messod Beneish - Earnings manipulation detection
Modern Portfolio Theory - Risk-adjusted decision making
This indicator is designed for educational and analytical purposes. Always conduct additional research and consider consulting with financial professionals before making investment decisions.
Smoothed Basis Overview and Purpose
The script calculates a smoothed mid-range basis between the highest and lowest prices over a specified period, then applies a smoothing function (smoothed moving average) to show the trend direction or momentum in a less noisy way. The area between the basis and its smoothed value is color-filled to visually highlight when the basis is above or below the smoothed average, signaling potentially bullish or bearish momentum.
Indicator Setup
length = Period length for calculating the highest and lowest values.
signal = Smoothing period used to smooth the basis.
offset =Optional horizontal shift to the plots (default 0).
Core Calculations
lower = Finds the lowest low over the past length bars.
upper = Finds the highest high over the past length bars.
basis = Calculates the midpoint between the highest and lowest.
Smoothing Calculation (Smoothed Moving Average - SMMA)
Declares smma as 0.0 initially. If the previous smma value is not available (like on the first bar), initializes with a simple moving average of basis over signal bars. Else applies formula
which gives a smoother version of basis which reacts less to sudden changes.
Plotting and Color Fill
Plots the raw basis line and smoothed basis line .
Fills the area between the basis and smoothed basis lines:
Greenish fill if the basis is above the smoothed value (potentially bullish).
Reddish fill if the basis is below the smoothed value (potentially bearish).
Interpretation and Use
The indicator visually shows where price ranges are shifting by tracking the midpoint between recent highs and lows.
The smoothed basis serves as a trend or momentum filter by dampening noise in the basis line.
When the basis is above the smoothed line (green fill), it signals upward momentum or strength; below it (red fill) suggests downward momentum or weakness.
The length and signal parameters allow tuning for different timeframes or asset volatility.
In summary, this code creates a custom smoothed oscillator based on the midpoint range of price extremes, highlighting trend changes via color fills and smoothening price action noise with an SMMA.
Pattern Match & Forward Projection – Weekly (v6.0)
📌 Pattern Match & Forward Projection – Weekly (v6.0)
This indicator is designed to spot situations in the past that resemble the current price behavior and then project their possible future outcomes.
🔍 How it works
Dynamic Lookback
The algorithm scans a wide history of candles (in this case, 750 weekly bars).
Within this history, it searches for price sequences that closely resemble the recent move.
Pattern Matching
When a match is found, the indicator assigns a validity score (e.g., 82%).
This value shows how similar the current structure is to those past cases.
Quality Filters
Users can fine-tune thresholds and parameters (e.g., terminal mean curve, max distance allowed, shape filter).
These filters reduce “false positives” and keep only the most significant matches.
Forward Projection
Once a match is confirmed, the indicator calculates the average forward performance based on how price behaved after similar cases in the past.
It then displays percentage statistics:
+1w, +2w, +3w, +4w, +5w …
each showing the historical average move over those timeframes.
📊 What we see on this chart (CRM – Salesforce, weekly)
A match was found with 82% validity.
Historically, in similar setups, price performance showed on average:
+0.87% after 1 week
+2.89% after 2 weeks
+7.25% after 3 weeks
+2.81% after 4 weeks
+3.39% after 5 weeks
The dashed lines on the chart represent projected price levels based on these statistical averages.
⚙️ In summary
This tool doesn’t produce “magical predictions.” Instead, it applies statistical analysis and pattern recognition: it compares the present with the past and highlights the probabilities of future moves based on historical analogs.
🔧 You can customize:
the lookback window (how many bars to scan),
the similarity threshold,
the shape filter,
and the forward periods to track.
👉 In short, the Pattern Match & Forward Projection is a practical tool for traders who want to complement traditional technical analysis with a quantitative, probability-driven approach, rooted in the market’s own memory
Uptrick: Majors Directional BiasOverview
Uptrick: Majors Directional Bias is a trend-following indicator designed for higher timeframe markets, with a particular focus on the daily chart. It keeps a persistent bullish or bearish stance, highlights confirmed trend flips with one-time markers, and plots a slim, adaptive flow trail that often acts as dynamic support in bullish conditions and resistance in bearish conditions. It is purpose-built for BTC, ETH, and SOL, with safeguards to warn users if applied elsewhere.
Introduction
This indicator was created to simplify trend tracking on higher timeframes. Rather than layering multiple moving averages, oscillators, or external signals, it keeps everything on the price chart itself. Candles are colored by the active stance, a single marker shows the bar where a trend flip is confirmed, and the flow trail follows price closely while adjusting to volatility. For traders working with the daily chart, the trail becomes a practical tool: in an uptrend, it often serves as a natural stop placement zone or structural support, while in a downtrend it behaves like dynamic resistance. The combination of persistence, confirmation, and structure gives traders a clean map of market direction without noise or clutter.
Purpose
The tool is designed to help traders follow medium to long-term market trends rather than react to short intraday moves. Its focus is clarity and continuity — it latches onto a stance and only changes when a new confirmed flip occurs. This makes it suitable for swing traders and position traders who want to stay aligned with the prevailing trend on the daily chart.
Practical uses include identifying trend shifts, entering trades in the direction of the new stance, managing positions by trailing stops along the flow trail, and monitoring pullbacks for whether they respect or break the trail. In this way, the indicator supports both entry timing and ongoing trade management on higher timeframe markets.
Originality and uniqueness
The originality of this script lies in its blend of complexity and simplicity. Internally, it uses multiple filters and layered components to reduce market noise, smooth out erratic fluctuations, and avoid false flips that are common on higher timeframes. Externally, the presentation is deliberately simple: candles are colored by trend, a single marker identifies each confirmed flip, and a slim trail with soft fills shows where the trend structure sits. Many tools either overload traders with information or flicker constantly in uncertain conditions. This script strikes a balance — complex logic works in the background, but what the trader sees is minimal and actionable. Its ability to filter out noise, persist with confidence, and present direction in the simplest terms makes it unique among trend-following overlays.
Why these components were merged
Each component has a clear role in supporting higher timeframe trading. Persistent bias coloring ensures the dominant trend is always visible, making it easy to stay aligned with the market. Flip markers give clarity by identifying the exact bar where the stance shifts, allowing traders to backtest or audit trends quickly. The flow trail provides a structural guide that adapts to volatility: in bull phases it runs under price, often acting as support, while in bear phases it runs above price, often behaving as resistance. Together, these features provide three layers of information in one view — direction, confirmation, and structure — giving traders a reliable framework for swing and position trading on the daily chart.
Step-by-Step
The script determines the dominant trend and locks that stance until an opposite confirmation occurs.
On confirmation of a new trend, a single marker prints on the bar of the flip.
A slim, adaptive trail plots under price in bull phases and above price in bear phases, with a soft fill to reinforce the state.
Price candles are colored by the active stance so the overall direction is always clear.
If the indicator is loaded on assets outside BTC, ETH, or SOL, a warning panel appears to set expectations.
Features
Persistent trend stance
Candles are always bull or bear, with no neutral state. This reduces ambiguity and keeps the trend visible at all times.
One-time flip markers
Markers plot once at the confirmed flip bar, preventing repetitive clutter and making historical review straightforward.
Adaptive flow trail with soft fill
The trail tracks price while adjusting to volatility. In bull trends it acts like dynamic support, in bear trends like dynamic resistance. Traders can use it as a practical stop-loss reference, trailing their risk along the line as the trend progresses.
Noise filtering logic
Internally, the indicator applies multiple filters and components to dampen false signals and avoid unnecessary flips. This is particularly important on higher timeframes, where swings are larger and stability is critical.
Asset-aware design
The indicator is tuned for BTC, ETH, and SOL, with an internal mode that adapts its responsiveness to each. A warning panel appears when used outside these majors.
Overlay-only clarity
Everything is drawn directly on the main chart. The trail gaps at regime changes, fills are soft and non-obstructive, and the overall design emphasizes readability on higher timeframe candles.
Conclusion
The MDB is a higher timeframe trend-following overlay built for BTC, ETH, and SOL, with daily charts as its ideal setting. It combines persistent bias coloring, one-time flip markers, and an adaptive flow trail to give traders direction, confirmation, and structure in the simplest possible form. Internally, it uses complex filtering to reduce noise and maintain reliable signals, but externally it stays minimal and clean. For swing and position traders who want to follow the daily trend with clarity and discipline, this indicator provides a focused solution.
Disclaimer
This indicator is provided for educational and informational purposes only and does not constitute financial advice. Trading involves risk, including the risk of loss. Past performance does not guarantee future results. Always conduct your own analysis and use appropriate risk management.
Asia/London 1-Minute Range — Smart Extend & PD LabelsAutomatically draws Asia and London ranges from the 1-minute anchor candle (wick high/low) at configurable times. Boxes extend to the right and only cap when a new range overlaps vertically; otherwise they run to X bars past price. Keeps 2 per session (today + PD) with PD.Asian range / PD.London range labels. Custom 50% midline (on/off, style, width, color). Fully customizable labels (text, color, size, position) with uniform offset (% / ticks / price). Works on any timeframe (HL fetched from 1m). Time zone and times are fully configurable..
HISTOThe Histogram based oscillator is a momentum indicator that transforms the traditional Relative Strength Index (RSI) into a centered oscillator around the zero line, displayed as a histogram.
While the standard RSI ranges from 0 to 100 and is typically interpreted with thresholds (70 = overbought, 30 = oversold), the zero-based histogram approach provides a more intuitive way of reading momentum shifts:
Values above zero indicate that bullish momentum (gains) outweighs bearish momentum (losses).
Values below zero indicate that bearish momentum dominates.
The height of the histogram bars represents the strength of the imbalance between buying and selling pressure.
🔹 Why use a histogram-based RSI?
Easier visual interpretation: Instead of judging levels like 70/30, traders can simply see whether momentum is positive or negative relative to zero.
Trend confirmation: A consistent series of positive histogram bars signals sustained bullish conditions; negative bars highlight bearish trends.
Signal timing: Crosses above/below the zero line act as momentum shift signals, similar to how MACD’s histogram is used.
🔹 Sensitivity and adjustments
Like the standard RSI, the oscillator depends on the chosen period length:
Shorter periods → more sensitive, faster signals, but also more noise.
Longer periods → smoother, more reliable signals, but slower to react.
Some traders enhance this further by:
Using multiple histogram RSIs (short-term vs long-term) to confirm signals.
Applying color coding (e.g., green for rising momentum, red for falling) to highlight acceleration or deceleration in trend strength.
Combining with other oscillators (MACD, Stochastics) for confirmation.
🔹 Applications
Trend identification: Stay aligned with the direction of the histogram (above zero = long bias, below zero = short bias).
Divergence spotting: If price makes a new high but the histogram weakens, it may signal exhaustion.
Momentum crossovers: Zero line crosses can serve as entry/exit signals, especially when confirmed by volume or price action.
WHALEThe Whale indicator is built around the Relative Strength Index (RSI), which is one of the most widely used momentum oscillators in technical analysis. RSI measures the magnitude of recent price changes to evaluate whether an asset is overbought or oversold.
Traditionally, RSI is calculated over a fixed period (commonly 14), but the Whale indicator introduces the concept of sensitivity across different periods. This means instead of looking at just a single timeframe, it blends or adapts multiple RSI lengths to capture both short-term volatility and long-term momentum.
A shorter-period RSI reacts quickly to price changes, making it more sensitive to short bursts of momentum or sudden reversals.
A longer-period RSI smooths out noise, giving a clearer picture of sustained trends.
By combining these different sensitivities, the Whale indicator aims to detect shifts in momentum earlier than a standard RSI, while still filtering out false signals. This makes it useful for spotting potential trend reversals, divergences, and overextended market conditions with more nuance than the default RSI.
In practice, traders might use the Whale indicator to:
Identify entry and exit zones when RSI values converge across multiple sensitivities.
Confirm the strength of a trend when both short-term and long-term momentum align.
Reduce false breakouts by comparing how price behaves relative to several RSI periods.
Pr0ject Zer0What it is
Pr0ject Zer0 plots clean Buy/Sell flips on your chart based on a MACD crossover calculated on a custom timeframe (HTF). Instead of drawing MACD lines or histograms, it marks the exact bars where the higher-timeframe MACD crosses its signal and paints a step-line at price so you can visually see how long each regime lasts.
Why it’s useful
Cuts the noise: you get state changes only (green when MACD > signal, red when MACD < signal).
Aligns your entries on lower timeframes with higher-timeframe momentum—a simple way to avoid fighting the trend.
The step-line at price makes it obvious where the flip happened and how far price has moved since.
How it works
Computes MACD(fast, slow, signal) on your chosen Timeframe (TF) via request.security.
On crossover up (MACD > Signal) → plots a green step (“Buy”) at that bar’s close.
On crossunder (MACD < Signal) → plots a red step (“Sell”) at that bar’s close.
The line holds its state until the next flip, giving you a clear regime view.
Inputs
MACD Settings
Source: open/high/low/close (default: close)
TF: higher timeframe used for the MACD calculation (default: 10)
Look Ahead: Yes/No → controls barmerge.lookahead_on/off in request.security
Yes = can repaint (uses future HTF info).
No = safer, non-lookahead mode.
look ahead wait: integer offset applied to the source (src ) before MACD. Use 0–1 if you want to delay the source a bar(s) to further reduce peek effects when testing.
Fast/Slow/Signal: MACD parameters (defaults: Fast=3, Slow=13, Signal=3)
How to use
Overlay on any chart and timeframe (works intra-day to higher TFs).
Pick an HTF in TF (e.g., use 10 on a 1–5m chart, 60 on a 5–15m chart, 240 on a 15–60m chart).
Trade with the regime:
Consider longs while the line is green (HTF momentum up).
Consider shorts while the line is red (HTF momentum down).
Combine with your favorite execution tool (e.g., structure, pullbacks, EMAs) for entries and exits. Zer0 gives you the context; your system handles the trigger.
Best practices
For live trading, set Look Ahead = No to avoid repainting.
The HTF should be ≥ your chart TF. Using a lower TF as the “HTF” defeats the purpose.
For aggressive scalping, faster MACD (3/13/3) is fine. For swing or cleaner signals, test 12/26/9 or a slower combo.
Use risk management: this is a directional filter, not an all-in signal generator.
Notes & Limitations
Repainting warning: If Look Ahead = Yes, signals can shift as the higher timeframe completes. Use for exploration only.
This is an indicator, not a strategy—it doesn’t place orders or calculate PnL.
No alerts are included in this version.
