Omega Stock Evaluation [OmegaTools]Omega Stock Evaluation is a comprehensive, institutional-grade equity analysis framework designed to synthesize fundamental valuation, technical context, relative performance, risk metrics, volume behavior, and analyst sentiment into a single decision-support system. It is not a “signal generator” in the traditional sense: it is a multi-dimensional evaluation engine built to answer one question—how a stock is positioned in terms of value, trend, risk, and market behavior.
Purpose
This script is designed to provide structured, repeatable stock evaluation for investors and analysts who want more than isolated indicators. It consolidates multiple independent valuation models, long-horizon technical equilibrium measures, market-relative valuation (multiple normalization), risk diagnostics, and behavioral proxies into a single output that can be monitored over time.
What the indicator delivers
• A blended Fair Price derived from fundamentals, market multiples, and technical equilibrium
• A volatility-normalized Oscillator that expresses discount/premium positioning vs fair value
• A multi-factor Rating (Strong Sell → Strong Buy) designed for strategic positioning
• A real-time Dashboard with: Rating, VaR, Beta, Trend, Location, Fundamental status, Performance status, Institutional bias, and Analysts consensus
• Optional overlays: Fundamental fair value, Technical fair value, PE-adjusted fair value, individual fundamental models, and analyst target price bands
Data and robustness logic
The script uses TradingView Financial datasets and includes normalization / cleaning steps to keep metrics realistic across different sources and reporting formats. Percent-like fields are automatically converted when needed, missing values are handled gracefully, and extreme or unstable multiples (e.g., implausible EV/Sales or EV/EBITDA) are filtered out.
Risk-adjusted discount rate and growth constraints
A core design choice is to avoid “fantasy valuations.” The script defines a bounded required return r , adjusted by credit/financial risk using the Altman Z-Score when available. Growth assumptions are also bounded and constrained so that terminal growth remains below the discount rate, preventing mathematically explosive valuations and improving stability across sectors.
Fundamental valuation engine (multi-model)
The indicator computes up to seven independent fair value estimates, each based on a distinct valuation philosophy. These estimates are then aggregated into a robust fundamental fair price using filtering and averaging logic to reduce outlier impact.
Fundamental models included
M1 – Discounted Cash Flow (FCF)
Projects Free Cash Flow for a fixed horizon and discounts it using the required return, then converts enterprise value to equity value by adjusting for net debt and shares outstanding.
M2 – Peter Lynch / PEG-style implied price
Derives an implied target P/E from growth and dividend yield (bounded), then estimates fair price as EPS(TTM) × target P/E.
M3 – Economic Value Added (EVA)
Estimates firm value as invested capital plus the present value of EVA streams, where EVA is NOPAT minus the capital charge (r × invested capital).
M4 – EV/Sales normalized valuation
Uses the historical median EV/Sales multiple as a target and values the company using TTM revenue, adjusted to equity value.
M5 – Residual Income valuation (ROE fade)
Builds a residual income model where ROE advantage fades toward the required return over the horizon, adding the present value of residual income to book value.
M6 – EV/EBITDA normalized valuation
Uses the historical median EV/EBITDA multiple as a target and values the company using TTM EBITDA, adjusted to equity value.
M7 – Justified P/B (closed-form residual income)
Computes a justified price-to-book estimate from ROE, growth, and required return and derives a fair price from BVPS.
Fundamental fair price aggregation
Only valid, positive model outputs are used. The script sorts the valuation set, discards extreme tails when enough models are available, and computes a robust average to produce a stable Fundamental Fair Price suitable for continuous monitoring.
Technical fair value
To avoid relying solely on accounting-driven valuations, the script computes a Technical Fair Price from long-horizon market structure: it blends the 252-day high/low range with a long-term VWMA equilibrium. This acts as a market-derived anchor representing where price tends to revert across cycles.
Market multiple normalization (PE-adjusted valuation)
The script calculates a PE-Adjusted Fair Price by comparing the stock’s current P/E (from EPS TTM) to the S&P 500 average P/E series. This provides an immediate market-relative valuation signal: “what would this stock’s price be if it traded at the index multiple?”
Blended fair price
The final Fair Price is a composite average of:
• Fundamental fair price (multi-model)
• PE-adjusted fair price (market-relative)
• Technical fair price (market equilibrium)
This blend reduces single-model bias and improves usability across sectors and regimes.
Oscillator and location logic
Deviation from fair price is normalized by long-horizon volatility (standard deviation), producing a valuation oscillator that expresses where price sits relative to fair value in standardized units. The script defines three regimes:
• Discount (deep undervaluation vs fair price)
• Neutral
• Premium (overvaluation vs fair price)
Color gradients adapt dynamically to the oscillator level for fast visual interpretation.
Trend health and structural direction
Instead of using only price moving averages, trend is assessed using the slope of fair value itself (a structural measure). Rising fair price implies improving fundamentals/conditions; declining fair price implies deterioration. This supports a more “business-like” view of trend.
Performance and institutional behavior
Performance is evaluated relative to the PE-adjusted reference using ATR-scaled thresholds, classifying the stock as underperforming/overperforming vs market-normalized expectations.
Institutional activity is approximated using statistically significant volume expansions and short-term price direction during those expansions, producing a Buying / Selling / Neutral institutional bias proxy.
Composite rating system
The indicator converts multiple components into a unified Rating score: trend, valuation location, fundamental mispricing, relative performance, institutional bias, long-term MA regime, and RSI extremes. The rating is scaled by a volume factor so that high-conviction volume environments receive greater weight.
Final categories are mapped as: Strong Sell , Sell , Hold , Buy , Strong Buy , displayed both numerically and textually.
Risk metrics: VaR and Beta
The dashboard includes:
• Historical VaR (percentile-based on daily log returns) for downside risk awareness
• Beta computed from relative volatility and correlation vs SPY across a long window
These metrics provide critical context for comparing opportunities across different risk profiles.
Analyst consensus
Sell-side recommendations are aggregated into:
• A dominant consensus label (Strong Buy → Strong Sell)
• A weighted average recommendation score (%)
This allows you to identify alignment or divergence between market valuation, price behavior, and analyst positioning.
Visual options and overlays
The indicator is designed to be clean, modular, and presentation-ready. You can choose to display:
• Blended Fair Price
• Technical, Fundamental, and PE-Adjusted fair prices
• All individual fundamental model lines (M1–M7)
• Analyst target price bands (High/Low/Average), plotted forward from the official target price date
A compact, professional table summarizes the entire evaluation in one glance.
Recommended workflow
This tool is best used for:
• Long-term screening and rotation
• Valuation + trend confluence analysis
• Portfolio construction and risk-aware allocation
• Identifying discounted stocks with improving structure (or expensive stocks with weakening structure)
It is not intended as a standalone entry/exit trigger for short-term trading.
Disclaimer
Omega Stock Evaluation is an analytical tool and does not constitute financial advice. Financial datasets may vary in availability and update timing across tickers and exchanges. Always validate with primary sources before making investment decisions.
Omega Stock Evaluation does not try to predict. It tries to quantify context—value, trend, risk, and behavior—in one coherent system.
Analyse fondamentale
EPS 4SMAThis indicator displays the quarterly EPS as a 4SMA. This allows for a visual judgment of whether the EPS has increased or decreased compared to the same period last year. Additionally, if it has increased, the SMA changes to red. Furthermore, it shows a label indicating the percentage increase or decrease compared to the same period last year.
total_revenue 4SMAThis indicator displays quarterly sales as a 4SMA. This allows for a visual assessment of whether sales have increased or decreased compared to the same period last year. Additionally, if sales have increased, the SMA changes to red. Furthermore, it shows the percentage increase or decrease compared to the same period last year as a label.
Skewness Indicator偏態分佈指標Skewness Indicator
核心功能
偏度計算 - 測量價格分佈的不對稱性
正偏度:價格傾向於右偏,可能表示上漲趨勢
負偏度:價格傾向於左偏,可能表示下跌趨勢
可自定義參數
計算週期(預設20)
數據源(收盤價、開盤價等)
正負偏態閾值
視覺化元素
藍色線:即時偏度值
橙色線:偏度移動平均(平滑訊號)
背景顏色:綠色表示強正偏態,紅色表示強負偏態
信號標記:三角形標示潛在的交易機會
交易信號
看漲信號:當偏度向上突破負閾值
看跌信號:當偏度向下跌破正閾值
資訊面板 - 右上角顯示當前偏度值和狀態
功能
多時間週期(HTF) - 可選擇在更高時間框架上計算偏度(例如在5分鐘圖上顯示日線的偏度)
交易信號 - 三角形標記顯示潛在的交易機會
資訊面板 - 右上角顯示當前偏度值和市場狀態
視覺提示 - 閾值線和背景顏色提示極端狀態
使用建議
在參數中勾選「使用高時間週期」
選擇你想要的時間週期(如 D=日線, W=週線, 240=4小時)
這樣可以在短週期圖表上看到長週期的偏態趨勢
Core functions
Skewness calculation-Measuring the asymmetry of price distribution
Positive bias: The price tends to the right, which may indicate an upward trend
Negative bias: The price tends to the left, which may indicate a downward trend
Customizable parameters
Calculation cycle (default 20)
Data source (closing price, opening price, etc.)
Positive and negative bias threshold
Visual elements
Blue line: instant skewness value
Orange line: skewed moving average (smooth signal)
Background color: green indicates a strong positive bias, red indicates a strong negative bias
Signal mark: Triangle marks potential trading opportunities
Trading signals
Bullish signal: when the skewness breaks through the negative threshold upward
Bearish signal: when the bias falls below the positive threshold
Information panel-the upper right corner displays the current skewness value and status
function
Multi-time period (HTF)-you can choose to calculate the skewness on a higher time frame (for example, display the skewness of the daily line on a 5-minute chart)
Trading signals-Triangle marks show potential trading opportunities
Information panel-the upper right corner displays the current skewness value and market status
Visual cues-threshold lines and background colors indicate extreme states
Recommendations for use
Check "Use high time period" in the parameters
Choose the time period you want (e.g. D= daily, W= weekly, 240= 4 hours)
In this way, you can see the long-cycle bias trend on the short-cycle chart
Vilantro SMC, Sessions, FRVP Master Algo V2.3Vilantro SMC, Sessions, FRVP Master Algo (V2.3)
Overview The Vilantro SMC Master Algo is a comprehensive institutional trading toolkit designed for Smart Money Concepts (SMC) and ICT traders. It combines Time, Price, Volume, and Structure into a single, high-performance indicator.
Instead of cluttering your chart with multiple indicators, this tool provides a "mechanical" framework to identify high-probability setups by visualizing Liquidity Sweeps, Order Blocks, Fair Value Gaps, and Session Kill Zones automatically.
Key Features
1. Advanced Session & Kill Zones Time is the most critical element in ICT trading. This module highlights key trading windows to help you catch volatility. • Asia Range: Visualizes the accumulation phase (Default: 20:00 - 00:00 NY). • London Kill Zone: Captures the "Judas Swing" or initial breakout (Default: 02:00 - 05:00 NY). • New York Kill Zone: The primary session for trend continuation or reversals (Default: 07:00 - 10:00 NY). • Custom Session: A user-defined window (e.g., Close, Lunch) for added flexibility. • Feature: Toggle any session ON/OFF individually.
2. Smart Money Concepts (PD Arrays) The core engine automatically detects institutional reference points: • Order Blocks (OB): Highlights the last candle before a strong move. Green for Bullish, Red for Bearish. • Fair Value Gaps (FVG): Detects imbalances where price moved too quickly. • Breaker Blocks (BB): Advanced Logic. Automatically identifies Failed Order Blocks (e.g., a Bullish OB that got smashed through) and marks them as Breakers for retests. • Inversion FVGs (IFVG): Advanced Logic. Marks Failed FVGs that flip from support to resistance (or vice versa).
3. Market Structure & Swings • Swing Points: Automatically labels HH (Higher High), LL (Lower Low), LH , and HL to visualize the trend. • Break of Structure (BOS): Draws lines when trend continuation occurs. • Change of Character (CHoCH): Draws lines when the trend potentially reverses. • Customization: You can toggle the Labels and Lines independently to keep charts clean.
4. Fixed Range Volume Profile (FRVP) - Gap Logic Unlike standard indicators, this calculates the Volume Profile specifically for the "Gap" periods between sessions (e.g., Pre-London or Pre-NY). • POC (Point of Control): The price level with the highest volume traded during the gap. • VAH / VAL: Volume Area High and Low lines. • Usage: Helps identify where price is likely to magnetize before the next session opens.
5. Liquidity & Sweeps • Equal Highs/Lows (EQH/EQL): Automatically spots "Double Top/Bottom" formations where retail stops are hiding. • Sweep Signals: Provides real-time BUY/SELL signals when a session high/low is swept (liquidity raid) and price reverses back into the range.
6. Daily Premium & Discount • Calculates the Daily High , Daily Low , and Equilibrium (50%) level. • Helps you avoid buying in "Premium" (expensive) or selling in "Discount" (cheap) zones.
Settings Guide
Kill Zones • Show : Toggle visibility for Asia, London, NY, or Custom boxes. • Time Inputs: Set start/end times (Format: HHmm-HHmm in NY time).
Visuals • Colors: Customize the background colors and opacity for each session.
Premium / Discount • Calculate P/D: Enables the Daily Range calculation. • Show BG/Lines: Toggles the background shading or the High/Low/Eq lines.
Volume Profile • POC / VAH / VAL: Customize the color, width, and style (Solid/Dash) of volume lines.
SMC • Show FVG / OB: Toggles standard Order Blocks and Fair Value Gaps. • Req FVG?: Filter: Only shows OBs that created a Fair Value Gap (High Quality). • Show Breakers / IFVG: Toggles advanced "flipped" zones (Breaker Blocks & Inversion FVGs).
Structure • Show Swings: Toggles HH/LL labels on pivots. • Show Structure Lines: Toggles BOS/CHoCH horizontal lines.
Liquidity • Thresh: Sensitivity for detecting Equal Highs/Lows.
Trade Mgmt • Show Signals: Toggles the Buy/Sell labels on the chart.
How to Trade (Strategy Examples)
Strategy A: The "Session Sweep" (Reversal)
Wait for a Session Box (e.g., Asia) to form.
Look for price to break out above the Session High (Sweep).
Wait for a "SELL (Sweep)" signal. This confirms price grabbed liquidity and closed back inside.
Target: The opposing side of the session (Asia Low) or the Session POC.
Strategy B: The "Unicorn" (Breaker + FVG)
Identify a Breaker Block (BB) (a failed OB that flipped).
Look for a Fair Value Gap (FVG) overlapping with that Breaker.
Entry: Limit order at the overlap of the BB and FVG.
Stop Loss: Just outside the Breaker structure.
Disclaimer: This tool is for educational and analytical purposes only. Trading involves significant risk. Always combine these signals with your own analysis and risk management rules.
Growth DashboardThe Multi-Year Growth Dashboard provides a high-level snapshot of an asset’s historical performance directly on your chart. It calculates the total percentage growth for 1-year, 3-year, and 5-year periods based on exact calendar dates.
Unlike simple bar-counting scripts, this indicator uses a "Time-Capsule" logic:
- Calendar Precision: It calculates specific timestamps for 365, 1,095, and 1,825 days ago.
- Persistent Memory: Using the var keyword, the script scans historical bars and "captures" the closing price as it crosses those specific dates.
- Dividend Adjustment: It respects the chart's ADJ (Adjusted for Dividends) toggle, ensuring your total return figures are accurate for stocks like AAPL or MSFT.
proof quant model v1team, this is the model for our class. It is public but yeah its not like there will be specific ip or stuff like that. Get to work
Adaptive Score Pro - Trade Intelligence ⚠️ IMPORTANT RISK DISCLAIMER
This script, "Adaptive Score Pro - Trade Intelligence" is published for informational and educational purposes only. It is a technical analysis tool that automates calculations based on market data.
1. Not Investment Advice
The information generated by this script does not constitute financial, investment, or trading advice of any kind . It is not a recommendation to buy, sell, or hold any security or other financial product. You should not rely on this script as a substitute for independent research or professional financial advice .
2. Trading is High Risk
Trading financial instruments carries a high degree of risk. You can lose more than your initial investment, especially when using leverage . Past performance, including any hypothetical or backtested results shown, is not indicative of future results.
3. No Warranties or Liability
The script and its outputs are provided "as is" without any guarantees of accuracy, reliability, or profitability . By using this script, you agree that the author and TradingView, Inc. are not liable for any trading decisions you make, or for any losses or damages that may arise from your use of or reliance on this script .
4. Your Responsibility
You are solely and fully responsible for evaluating the risks of any trade and for your own trading decisions . Ensure you understand the risks involved and only trade with capital you can afford to lose .
By using this script, you acknowledge that you have read, understood, and agree to this disclaimer.
📈 Indicator Overview & Purpose
"Adaptive Score Pro - Trade Intelligence MFE_MAE4" is a comprehensive, all-in-one trading system designed for systematic traders. It goes beyond basic signal generation by integrating real-time trade management, detailed performance analytics, and advanced market regime detection into a single, visually intuitive dashboard.
The core philosophy is to provide trade intelligence—not just entry signals. It analyzes market conditions, assigns a quality grade to every signal, and actively monitors open positions to suggest management adjustments, helping traders move from guesswork to data-driven decisions.
🎯 Unique Selling Points & Key Features
Your script's depth sets it apart. Here are its standout features presented in a table for clarity:
Feature Category What It Does Why It's Valuable
Open Trade Intelligence Monitor Replaces simple signal panels with a dynamic dashboard for each open trade. It compares entry vs. current conditions (score, grade, confidence, regime) and suggests specific actions (HOLD, ADD, DEF, EXIT, TP) and adjustments to stops/targets. Provides actionable, real-time management suggestions, turning a static indicator into an active trading assistant.
Expanded MFE/MAE & High/Low Analysis Tracks the Maximum Favorable and Adverse Excursion in ATR terms and records price highs/lows at strategic intervals (Bars 1, 2, 3, 5, 7, 10, 15) after entry for both long and short trades. Offers deep, standardized post-trade analytics to evaluate entry quality and trade behavior, helping refine future strategy.
Adaptive Signal Engine Generates a composite score from trend, momentum, and volume components, with weights that adapt to market regime (e.g., STRONG TREND, ACTIVE RANGE). Each signal receives a quality grade (A+ to F) and confidence score. Filters out low-probability setups, ensuring you focus on high-quality, regime-appropriate trades.
Holistic Performance Suite Displays complete trade history and detailed statistics (Win Rate, Profit Factor, Sharpe/Sortino Ratios, Max Drawdown). Includes a Threshold Analysis table showing historical win rates for specific score bands. Enables continuous strategy validation and optimization based on your actual historical performance.
Integrated Risk & Portfolio Management Features multi-position risk control, position sizing (with optional Kelly Criterion), and tracks total portfolio equity and drawdown. It enforces maximum open positions and position-size limits. Manages portfolio-level risk, a critical feature often missing from standalone indicators.
🛠️ How to Use the Indicator
Signal Generation: The indicator plots signals on the chart. Focus on trades with a B- grade or higher and high confidence for best results.
Trade Management: Once in a trade, the Open Trade Monitor (top of the table) becomes your control center. Use the suggested "ACT" (action) and adjust stops/targets based on the "NewS" and "NewT" columns.
Post-Trade Analysis: Review the "Recent Trades" section and "Performance" statistics to understand what's working. Use the "Threshold Analysis" to see which score ranges are most profitable for your asset.
💡 Ideal User & Best Practices
This script is ideal for traders who employ a systematic, discretionary approach and want a unified tool for signal filtering, trade management, and performance tracking.
Recommended Timeframes: 1-hour charts and above for reliable regime detection and to avoid excessive noise.
Initial Setup: Start with the default settings. After 20-30 trades, use the Threshold Analysis to see if adjusting the buy/sell thresholds (default 56/44) could improve your edge.
Core Philosophy: Use the A/B-grade signals as high-probatility alerts, not automated orders. The intelligence is in the context it provides—always apply your own final judgment.
⚠️ Important Considerations
Learning Curve: The indicator is feature-rich and may be overwhelming for complete beginners.
Not a "Set-and-Forget" System: It is a sophisticated decision-support tool. Successful use requires understanding its outputs and integrating them into a complete trading plan.
Historical Data: The statistical models and threshold analysis become more reliable as more trade history is accumulated.
In summary, "Adaptive Score Pro" packages the tools of a professional trading desk—from signal generation and quality grading to active trade management and detailed analytics—into a single TradingView indicator. Its standout Open Trade Intelligence Monitor and expanded trade analytics make it a powerful platform for traders aiming to systematize and improve their process.
Tori-Style Trend PullbackA rule-based 4H trend pullback system using the 200 MA regime filter, 50 MA pullbacks, strong-candle confirmation, fixed risk, and transparent performance stats.
Designed for calls & puts, no discretion.
This indicator implements a strict, non-discretionary 4H trend-pullback model.
CORE LOGIC
• 200 MA defines the trend regime
• 50 MA defines the pullback zone
• Entries require strong candles (body % based)
• Optional volume confirmation
• Stops are locked at entry
• Exits are rules-based (trend failure, stop, or TP)
TIMEFRAME
• All trade logic is calculated on 4H (forced or native)
• Lower timeframes are for visual reference only
DASHBOARDS
• Top-right: Regime + multi-timeframe bias (1D / 4H / 15m / 5m)
• Bottom-right: Trade statistics (calls, puts, stops, trend exits, TP)
WHAT THIS IS
• A systematic trend-continuation model
• Designed for consistency and repeatability
• Suitable for options (calls & puts) or directional trading
WHAT THIS IS NOT
• Not a liquidity / ICT / MSS engine
• Not predictive
• Not a scalping strategy
• No discretionary signals
Best used on trending markets. Avoid sideways conditions around the 200 MA.
Fundamentals [AletheiaTradeLab]This indicator adds a fundamentals layer to your chart around earning events:
1. EPS YoY % and Sales YoY %
On earnings dates you’ll see two percentages:
- EPS YoY % = how much this quarter’s earnings per share changed vs the same quarter last year
- Sales YoY % = how much this quarter’s revenue changed vs the same quarter last year
2. Acceleration highlight
A visual highlight appears when YoY results have been improving for several events in a row (you decide how many).
3. Next earnings countdown
The indicator marks the next earnings date on the chart and shows:
Countdown = days remaining (Today if it’s the current day)
Use it to quickly see how close the next earnings catalyst is while you’re charting.
4. Fundamentals table (ratings + quality metrics + pass/fail).
Ratings are computed using formulas I built and run locally. The values displayed here are updated weekly (and may be updated more frequently during earnings season). They are independent interpretations inspired by publicly available concepts from Mike Webster, William O’Neil, and IBD, and are not official IBD ratings.
A table on-chart that can show (you choose the rows):
- Market cap
- EPS Rating (1–99)
A percentile-style score that ranks a stock’s earnings strength versus the tracked universe.
It blends four components:
EPS YoY (Last quarter)
EPS YoY (Prior quarter)
EPS growth rate (5Y, fallback to 3Y if 5Y is missing)
Earnings Stability (lower volatility scores better)
Higher is better. A stock with 90 is roughly stronger than ~90% of the universe on this composite.
- Sales Rating (1–99)
Same idea as EPS Rating, but focused on revenue growth quality.
It blends:
Sales YoY (Last quarter)
Sales YoY (Prior quarter)
Sales growth rate (5Y, fallback to 3Y)
Sales Stability (lower volatility scores better)
- SMR Rating (1–99)
A profitability + quality rating inspired by the classic “SMR” concept.
It combines four pillars:
Sales growth (avg of last 3 quarters) + whether sales are accelerating
After-tax margin (recent/avg) + whether margins are improving
Pre-tax margin (FY) + whether it’s improving
ROE (FY) + whether it’s improving
- Earnings / Sales stability
- EPS / Sales growth rates (3Y / 5Y)
- Profit margins and ROE
- Optional pass/fail dots based on thresholds you set.
Multifactor trend analysis1) Overview
◆ A 30-minute technical-analysis framework combining:
◆ Higher-timeframe trend structure
◆ SMA-spread chop-risk filter
◆ Linear-regression slope classification
◆ 30-min breakout-style triggers
◆ Multi-indicator consensus layer
(MACD, RSI, Stoch, Ichimoku, CCI, PSAR, Williams %R, Heikin-Ashi, Force Index)
◆ Adaptive sizing & loss-pause module
◆ Two separate downward-signal branches with different logic and time-weighting
2) Core Components
Higher-Timeframe Structure
◆Up-bias: close > long-MA AND short-MA > long-MA
◆Down-bias: close < short-MA AND short-MA < long-MA
Chop-Risk Filter
◆Require MA-spread > threshold to avoid sideways noise.
Trend Slope
◆Linear-regression slope divided into strength categories.
Trigger (30-min)
◆Upward: high breaks above prior short-MA
◆Downward: low breaks below prior long-MA
◆Both include bar-state confirmation.
Consensus Score
◆Multiple indicators → +1 / -1 / 0 → combined score guiding downward logic.
Weekly Adjustments
◆Certain thresholds adapt at weekly cycle boundaries.
3) Conditions & Sizing
Upward Activation
Needs:
◆ HTF up-bias
◆Chop-filter pass
◆Upward breakout relative to prior MA
Adaptive Sizing
Based on:
◆Recent negative streaks
◆Slope category
◆User-defined limits
Downward Logic
Branch A
◆HTF down-bias
◆Down-MA breakout
◆Slope-acceleration requirement
◆Size increases with setup strength
Branch B
◆Close below SMA-deviation threshold
◆Down-bias consensus score > limit
◆Regression slope below requirement
◆Weekly thresholds
◆Time-window weighting
Interval Control
◆Must exceed minimum bar spacing.
Loss-Pause
◆After too many negative sequences → temporary cooldown.
4) Originality
◆ Dual-layer filtering: structure + chop
◆ Slope ranges instead of simple slope up/down
◆ Multi-indicator consensus
◆ Adaptive sizing + pause logic
◆ Designed for stable behavior in historical directional phases
5) Usage
◆ Default: 30-minute timeframe
◆ Not tied to any market/product
◆ Chop-filter reduces action in sideways periods
◆ Exits/trails adjustable
◆ Suitable only for study and research, not performance expectations
6) Disclaimer
- Educational only — no trading advice
◆ No recommendations, no predictions
◆ Past data ≠ future results
◆ Not responsible for outcomes
◆ No order execution
◆ Markets can be high-risk
◆ Invite-Only access; no source code; no refunds
◆ User assumes all risks
✅ 教育用途／策略研究
✅ 不提供投資建議／不代操
✅ 不保證績效／過去不代表未來
✅ Invite‑Only 授權 10,000 TWD per month ／不提供原始碼
✅ 數位授權啟用後不退款
✅ 使用者自行承擔交易風險
Release Notes
v1.0: Initial release
v1.1: Added cooling / drawdown-limit mechanism
v1.2: Optimize the Bull algorithm
PIT Zone IndicatorPOC Levels , Supply & Demand Zones and Institutions buying (Blue ) and Selling (Black ) Activity
POC shows where institutions traded the most. 4Hr , Day , Weekly POC.
Support is a price zone where buying interest is strong enough to stop or slow down a decline, often causing price to bounce upward.
Resistance is a price zone where selling pressure tends to overpower buying, frequently preventing price from moving higher and causing pullbacks.
Institutions buying (Blue ) and Selling (Black ) Activity - Institutions buy by absorbing selling at key support zones and sell by absorbing buying at resistance, clear footprints in volume, structure, and price behavior.
Tradix COR Report Index📊 Tradix COT Report Index
The Tradix COT Report Index is an advanced market sentiment and positioning tool built on official Commitment of Traders (COT) Report data, designed to reveal how major market participants are truly positioned, beyond what price alone can show.
Instead of focusing on short-term price movements, the COT Report Index analyzes real futures positioning reported to the CFTC and categorizes it into three key groups:
Commercials – hedgers and so-called smart money
Non-Commercials – institutions, funds, and large speculators
Retail / Non-Reportables – small traders and crowd positioning
Raw positioning data (Long − Short) is transformed into a normalized 0–100 index, allowing traders to instantly identify extreme market sentiment, structural imbalances, and potential turning points — without manually interpreting complex COT tables.
🧠 How the Tradix COT Index Works
The index evaluates current net positions within a historical range (typically the last 52 weeks). This contextual approach makes it easy to see:
when Commercials are at extreme long or short levels
when speculative positioning becomes overcrowded
when the market reaches structural imbalance, increasing the probability of a mean-reversion or trend shift
By standardizing positioning data, the Tradix COT Index allows cross-market comparison, making it equally useful for indices, commodities, currencies, and futures-based CFDs.
🎯 How Traders Use It
The Tradix COT Report Index is not an entry signal tool.
Instead, it acts as a high-timeframe confirmation and market context indicator, commonly used for:
identifying long-term market bias
spotting divergences between price and positioning
confirming trend exhaustion or accumulation phases
filtering trades to align with institutional positioning
When combined with technical analysis, seasonality, and risk management, the COT Index provides a statistical edge rooted in real positioning data, not opinions or lagging indicators.
⚠️ Important Notes
COT data is updated weekly, not in real time
Best used on higher timeframes (Daily, Weekly)
Designed to enhance decision-making, not to replace trading systems
[longshorti] FVG - Fair Value GapThis script is an educational tool designed to help traders and students of technical analysis visualize the concept of Fair Value Gaps (FVG) and price imbalances. It provides a mathematical framework to observe how these zones are formed and subsequently "mitigated" (filled) by price action over time.
By quantifying price gaps into data points like volume and percentage, this tool allows for a deeper study of market mechanics and liquidity concepts as described in various trading theories like Smart Money Concepts (SMC).
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📊 Educational Metrics Breakdown
The indicator provides a data label for each detected zone to help analyze the "life cycle" of an imbalance: Example: 17.86M / 13.66M USDT (75.4%)
Fill Progress (17.86M): * Weighted Mode: Shows a calculated value representing the physical fill of the gap relative to its initial volume.
Total Activity Mode: Tracks the total cumulative volume traded within the zone's coordinates since its inception.
Initial Impulse Volume (13.66M): The total volume of the candle that created the imbalance.
Remaining Open Gap ((75.4%)): A mathematical representation of the portion of the FVG that has not yet been touched by subsequent price action.
Relative Price Weight ( ): The height of the FVG expressed as a percentage of the asset's price at the time of creation.
Key Educational Features
Adaptive Step Visualization: Dynamically divides imbalances into "steps" to help students observe exactly where price finds support or resistance within a gap.
Price % Filtering: Teaches the user to distinguish between significant market imbalances and minor price noise based on a percentage threshold.
Historical Context: Past imbalances are kept on the chart in a subtle #363a45 color to allow for the study of "S/R Flip" phenomena (where a filled FVG later acts as support/resistance).
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⚠️ DISCLAIMER (Educational Purposes Only)
This script is provided for educational and research purposes only. It is not a financial advisor, and it does not provide financial advice or trade recommendations.
No Guarantees: Past performance as visualized by this tool does not guarantee future results.
Not a Signal Tool: This indicator should be used as a supplementary visualization aid and never as a standalone basis for making financial decisions.
Risk Warning: Trading in financial markets involves significant risk of loss. Always perform your own due diligence and consult with a certified financial professional before making any investment.
The author of this script is not responsible for any financial losses incurred through the use of this tool. By using this script, you acknowledge that you understand its educational nature and use it at your own risk.
How to Study with this Tool
Observe Mitigation: Watch how price reacts when it enters the "Remaining %" zone.
Volume Analysis: Compare the "Initial Volume" with the "Total Activity" to see how levels of high interest are formed.
Filtered Perspectives: Use the Price % filter to see how market structure changes when only major imbalances are considered.
PIT Magic Pro IndicatorPOC Levels , Support & Resistance and Magic Level
POC shows where institutions traded the most, Support & Resistance show where price previously reacted, and Magic Levels reveal psychological & algorithmic zones — together they create high-probability trading setups.
Asian Stop Hunt ModelSTOP HUNT MODEL – STRATEGY DESCRIPTION
The Stop Hunt Model is designed to capture high-probability trades by targeting stop-loss liquidity from retail traders at buy-side and sell-side liquidity zones. The strategy focuses on identifying where liquidity is taken during the Asian session, waiting for a Change of Character (CHoCH), and then entering from unfilled orders (Balanced Price Range / Imbalance) in the direction of the dominant IPDA bias. The objective is to trade from engineered liquidity sweeps toward the next logical liquidity pool, while maintaining strict risk control.
The model operates primarily on the 5-minute chart, with early confirmation on the 3-minute chart. The Asian Killzone is used to define the initial range, plotting its high and low. Higher-timeframe liquidity from Daily, 4H, and 1H charts is marked in advance to provide directional context. IPDA direction is determined using macro alignment such as global interest rate bias and long-term trend behavior.
Once the Asian session concludes, price is expected to sweep either the high or low of the Asian range or the previous day’s high/low. After the liquidity sweep, the market must show a valid CHoCH, confirming a shift in internal structure. Entries are taken only after the formation and retest of a Balanced Price Range (BPR) created by overlapping imbalances. Trades are executed from these imbalance zones, targeting the next liquidity area, with stop loss placed at the most recent swing high or low.
This model prioritizes precision over frequency, aiming for fewer trades with higher reward-to-risk ratios, typically 1:3 or better, and a strict daily risk cap.
CHECKLIST – STOP HUNT MODEL
1.Mark Asian Killzone High and Low
2.Identify IPDA directional bias for the pair
3.Mark Buy-side and Sell-side liquidity from Daily, 4H, and 1H
4.Wait for a liquidity sweep (Asian High/Low or Previous Day High/Low)
5.Confirm a valid CHoCH
6.Identify a valid BPR (overlapping imbalance)
7.Enter trade from the BPR zone
8.Target the next liquidity pool
9.Place stop loss at the last swing high or low
RULES – STOP HUNT MODEL STRATEGY
> Always pre-mark Buy-side and Sell-side liquidity on 1D, 4H, and 1H
> Asian Killzone must complete by 10:30 AM IST
> After Asian close, mark 15-minute timeframe liquidity
> Trade only after the market sweeps the Asian session high or low
> Align trades with IPDA direction:
> Bullish IPDA → Prefer sweep of Asian Low
> Bearish IPDA → Prefer sweep of Asian High
> CHoCH confirmation is mandatory:
> Green CHoCH for bullish setups
> Red CHoCH for bearish setups
Setup conditions:
1. Bullish: CHoCH above price + BPR below price
2. Bearish: CHoCH below price + BPR above price
3.BPR must be formed by overlapping imbalances:
4.Red → Green for bullish
5.Green → Red for bearish
6.Look for V-shaped (bullish) or A-shaped (bearish) candle behavior
7.Entry only on imbalance retest — no chase entries
8.Targets must be killzone extremes or next liquidity zone
9.Stop loss must always be at the last swing high or low
10.No manual exits if aiming for 1:3 RR
11.If price sweeps both sides or no clean sweep occurs → No Trade
12.Trade less, execute cleaner setups
13.Daily target: 1% maximum
Momentum Trading Fundamental Screener- by ParthibThis indicator adds a fundamentals dashboard directly on your price chart, so you can see key business performance numbers without leaving the chart.
It displays a compact table that can be placed in any corner of the chart and customized (text size, colors, and which columns are shown). The table shows recent periods of EPS, Sales (Revenue), and Profit Margin %, along with their percentage changes (QoQ if you choose quarterly, YoY if you choose yearly).
It also optionally prints small labels under candles whenever new EPS or Sales data appears, showing the percentage change at that report point (with “EPS” or “SALES” written inside the label).
CT Traders Fair Value GapFair Value Gaps (FVG)
Fair Value Gaps (FVG) highlight areas of imbalance between market participants and have become very popular among technical analysts.
The following script aims to display Fair Value Gaps, along with:
The percentage of gaps filled
The average duration (in bars) before gaps are filled
Users can receive alerts when an FVG is filled using the alerts built into this script.
🔶 USAGE
(image)
In practice, FVGs highlight areas of support (bullish FVG) and areas of resistance (bearish FVG).
Once a gap is filled, suggesting the end of the imbalance, a potential price reversal can be expected.
This approach is more contrarian in nature (against the trend).
Users who prefer a more trend-following approach can use the identification of FVGs as direct signals, entering:
Long positions when a bullish FVG is identified
Short positions when a bearish FVG is identifie
CT traders Fair Value Gap Fair Value Gaps (FVG)
Fair Value Gaps (FVG) highlight areas of imbalance between market participants and have become very popular among technical analysts.
The following script aims to display Fair Value Gaps, along with:
The percentage of gaps filled
The average duration (in bars) before gaps are filled
Users can receive alerts when an FVG is filled using the alerts built into this script.
🔶 USAGE
In practice, FVGs highlight areas of support (bullish FVG) and areas of resistance (bearish FVG).
Once a gap is filled, suggesting the end of the imbalance, a potential price reversal can be expected.
This approach is more contrarian in nature (against the trend).
Users who prefer a more trend-following approach can use the identification of FVGs as direct signals, entering:
Long positions when a bullish FVG is identified
Short positions when a bearish FVG is identifie
Lazy SignalsWhat Lazy Signals Does:
📊 Identifies key entry & exit zones
⏱️ Saves time and mental energy
🧘🏽♀️ Reduces over-trading & emotional decisions
💻 Works seamlessly with your trading platform
What This Is NOT:
❌ Not a “get rich quick” tool
❌ Not automated trading
❌ Not financial advice
It’s a decision-support system — for disciplined traders.
AZ Mn/Se/D/WMy all in 1 indicator.
1. Midnight NY Open Price until end of true day 12pm
2. Color coded open price showing London/NY Session
3. Day Separator
4. Week Separator
Enjoy.
RSI adaptive zones with divergencesThis script is modified version of Adaptive RSI,
Thanks to creator of the script, modification is made by cloude code.
