권재용 ai 시그널(단타, 스윙모드 버전)기존 보조지표들에 문제점이 많이 느낌.
한 보조지표에 한가지 밖에 적용못한다는 점과 선물용 시그널이 없다는점.
모든 보조지표를 뒤져봐도, 롱,숏,청산 까지 나오는 보조지표가 없어서, 답답해서 직접 알고리즘 구현함.
아직은 베타버전. 지속적 업데이트 예정(스윙모드 값 최적화 덜됨.)
1. 현재 비트코인과 이더리움 최적화되게 세팅값 자동 조정되게 구현함.
2. 시간봉에 따라 세팅값 자동으로 조정되게 많듦.
3. 여러 신뢰도 높은 보조지표들 알고리즘 통합하여 알고리즘 구현.
간단 알고리즘
1)추세 레짐 감지
ADX(평균 방향성 지수) + 200EMA 기울기(Slope) + ST 안정도(Trend Stability) + HTF 방향 일치 4개 요소 합산 → Trend Score 산출.
점수 기반으로 추세장 / 박스장 / 전이구간 분류, 상태 전환시 히스테리시스(Hysteresis) 적용해 딸깍거리 방지함.
즉, 한번 추세로 들어가면 일정 조건 만족해야만 박스로 전환됨 → Noise Filtering 핵심.
2)다층 청산 로직
Give-back Limit: MFE(최대유리구간) 대비 일정 비율 되돌리면 청산 → 익절 보호.
ADX Weakness Counter: ADX가 약해지는 횟수 카운팅 → 모멘텀 사라질 때 청산.
HTF Flip Exit: 상위TF 추세 뒤집힘 시 강제 청산.
Structure Exit: 스윙 저점/고점 깨지면 구조 붕괴로 판단해 청산.
Time Stop: 스윙에서 일정 시간 진전 없으면 자동 청산.
이 모든 걸 OR 조건으로 묶음 → Multi-factor Exit Engine.
3). Adaptive Parameter Scaling (적응형 파라미터 스케일링)
사용자가 정한 공격성(aggressiveness) 값 + 실시간 레짐 상태 합쳐서
트레일링 폭(k)
되돌림 한계(gb)
ADX 문턱값
타임스톱 시간
다이나믹하게 바뀜.
결과: 시장이 고변동 추세장이면 청산 늦추고, 저변동 박스장이면 빨리 털고 나옴.
이게 Risk-Adjusted Exit Control 핵심.
4) State Machine Position Handling (포지션 상태 머신)
포지션 열림/닫힘/쿨다운 주기 관리.
진입 후 entryPrice, slPrice, mfe, noProgBars 등 상태변수 실시간 업데이트.
일종의 Finite State Machine(FSM) 구조라서 로직 충돌 없이 깔끔하게 동작함.
7. Hysteresis & Persistence Filters
추세/변동성 상태 바뀔 때 Persistence Counter로 연속성 요구함.
예: 한두 봉 노이즈로는 추세 안바뀜 → Signal Debouncing 기법.
간단 사용 루틴(단타)
1~15분봉 추천, 단타 + Auto + Auto + 공격성 50~60.
우상단 시장이 추세장·고변동이면 시그널↑. 박스장·저변동이면 진입 빈도↓.
KJY-L/S 뜨면 진입, 회색선=진입가/빨간선=SL 확인.
KJY-E 뜨면 미련 없이 정리. 알림 연동해두면 실전 편함.
간단 사용 루틴(스윙)
2H~4H, 스윙 + Auto + Auto + 공격성 45~55 + 스윙 최적화 ON.
구조 붕괴/타임스톱/HTF 뒤집힘 오면 자동으로 E 라벨로 정리.
레짐 감지: ADX 스무딩, 200EMA 기울기, ST 안정도, HTF 정합로 점수화 → 추세/박스 자동 분류.
변동성 적응: TR 비율로 고/저변동 인식 → 트레일 폭, 되돌림 한계, 타임스톱 스케일 조정.
스윙 가드: 1D 구조/기울기/정체시간 3중 안전장치.
공격성 슬라이더: 사용자 성향 한 방에 반영(트레일·되돌림·ADX 문턱 동시 스케일링).
I felt a lot of limitations with existing indicators.
Most indicators can only handle one thing at a time, and none of them provide signals specifically for futures trading.
After digging through all indicators, I realized there wasn’t a single one that gave me long, short, and exit signals all in one — so I built my own algorithm out of frustration.
This is still a beta version, with continuous updates planned.
Automatically optimized for Bitcoin and Ethereum.
Parameters auto-adjust based on timeframe.
Combines multiple high-reliability indicators into one unified algorithm.
1) Trend Regime Detection
Uses ADX (Average Directional Index) + 200EMA Slope + ST Stability (Trend Stability) + HTF Direction Alignment.
Combines the four elements into a Trend Score.
Classifies markets into Trending / Ranging / Transitional phases.
Applies Hysteresis during regime switching to prevent rapid signal flipping.
Once in a trend, it only switches to range mode after strict conditions are met → core Noise Filtering logic.
2) Multi-Layer Exit Logic
Give-back Limit: Exits if price retraces beyond a set % of MFE (Maximum Favorable Excursion) → protects profits.
ADX Weakness Counter: Counts consecutive ADX weakening periods → exits when momentum dies.
HTF Flip Exit: Forces exit if higher-timeframe trend reverses.
Structure Exit: Exits when swing high/low breaks = structural failure.
Time Stop: Auto exit if no progress after a set number of bars in swing mode.
All combined via OR conditions → Multi-factor Exit Engine.
3) Adaptive Parameter Scaling
Combines user-defined aggressiveness + real-time regime state to dynamically adjust:
Trailing stop width (k)
Give-back limit (gb)
ADX threshold
Time-stop duration
Result: In high-volatility trending markets, exits trail further; in low-volatility ranging markets, exits tighten quickly → key to Risk-Adjusted Exit Control.
4) State Machine Position Handling
Manages open/close/cooldown cycles for positions.
Updates variables like entryPrice, slPrice, mfe, noProgBars in real-time.
Built as a Finite State Machine (FSM) → avoids logic conflicts, ensures clean execution.
5) Hysteresis & Persistence Filters
Adds Persistence Counters for regime switching.
Prevents a single noisy candle from flipping states → Signal Debouncing technique.
Recommended: 1–15min charts, Settings: Scalp + Auto + Auto + Aggressiveness 50–60.
Top-right panel: Trending + High-Volatility → More Signals, Ranging + Low-Volatility → Fewer Entries.
When KJY-L/S appears → enter trade. Gray line = entry price, red line = SL.
When KJY-E appears → exit with no hesitation. Alerts make it seamless in real trading.
Recommended: 2H–4H charts, Settings: Swing + Auto + Auto + Aggressiveness 45–55 + Swing Optimization ON.
Structural breaks / Time-stop / HTF trend reversals → auto exit with E label.
Regime Detection: ADX smoothing + 200EMA slope + ST stability + HTF alignment → auto classifies Trend vs Range.
Volatility Adaptation: TR ratio detects high/low volatility → adjusts trail, give-back, and time-stop levels.
Swing Guard: 1D structure, slope, and time-stop → triple safety filter.
Aggressiveness Slider: Instantly applies user preference to trail width, give-back, ADX thresholds
Wskaźniki rozpiętości rynku
Market BreadthMarket breadth is a technical analysis technique that gauges the strength or weakness of moves in a major index.
Supported index ETF: SPY, NDX, DIA, IWM, OEF, MDY, IWB, IWV.
Supported sector index ETF: XLK, XLC, XLY, XLP, XLV, XLU, XLF, XLRE, XLE, XLB, XLI.
VWAP Filtrado con TendenciaThis indicator combines the classic VWAP with a trend EMA filtered by the TDFI oscillator to confirm market direction.
- VWAP is displayed in white as the fair value reference.
- The trend EMA dynamically changes color according to market condition: green (uptrend), red (downtrend), orange (range).
- Candles highlight in blue when a bullish VWAP crossover is confirmed, and in fuchsia when a bearish crossover is confirmed.
- Includes adjustable thresholds and a cooldown filter to reduce noise and improve reliability.
This approach allows traders to identify not only the relative position to VWAP but also the strength and clarity of the trend, enhancing decision-making across all timeframes.
VWAP Filtered with TrendThis indicator combines the classic **VWAP** with a trend EMA filtered by the TDFI oscillator to confirm market direction.
- VWAP is displayed in white as the fair value reference.
- The trend EMA dynamically changes color according to market condition: green (uptrend), red (downtrend), orange (range).
- Candles highlight in blue when a bullish VWAP crossover is confirmed, and in fuchsia when a bearish crossover is confirmed.
- Includes adjustable thresholds and a cooldown filter to reduce noise and improve reliability.
This approach allows traders to identify not only the relative position to VWAP but also the strength and clarity of the trend, enhancing decision-making across all timeframes.
MATEOANUBISANTI BILLION SQUATMATEO-ANUBIS-SANTI
Dear traders, investors, and market enthusiasts,
We are excited to share our High-Low Indicator Range for on . This report aims to provide a clear and precise overview of the highest and lowest values recorded by during this specific hour, equipping our community with a valuable tool for making informed and strategic market decisions.
(LES/SES) Compliment Net Volume(LES/SES) Compliment Net Volume
(LES/SES) Compliment Net Volume is a volume-based confirmation tool designed to show whether buyers or sellers are truly in control behind the candles. It acts as a compliment to the Long Elite Squeeze (LES) and Short Elite Squeeze (SES) frameworks, giving traders a clearer view of momentum strength.
Note! {Short Elite Squeeze (SES) Will be released in the Future}
-Designed to take shorts opposite of the long trades from LES
🔹 Core Logic
Net Volume Calculation – Positive volume when price closes higher, negative when price closes lower.
Cumulative Smoothing – Uses a rolling SMA of cumulative differences to remove noise.
Color Coding –
Green → Buyer dominance
Red → Seller dominance
Gray → Neutral pressure
🔹 How to Use
Above zero (green) → Buyers dominate → supports long setups (LES).
Below zero (red) → Sellers dominate → supports short setups (SES).
Flat/gray → No clear pressure → signals caution or chop.
This makes it easier to confirm when market participation aligns with a potential entry or exit.
🔹 Credit
The Compliment Net Volume was developed by Hunter Hammond (Elite x FineFir) as part of the LES/SES system.
The concept builds on classic Net Volume and cumulative volume analysis principles shared by the TradingView community, but has been uniquely adapted into the LES/SES framework.
⚠️ Disclaimer: This is a framework tool, not financial advice. Use with proper risk management.
AJForex Sessions + Killzones (Boxes)use timeline UTC -4 AJForex Sessions + Killzones (Boxes)AJForex Sessions + Killzones (Boxes)AJForex Sessions + Killzones (Boxes)AJForex Sessions + Killzones (Boxes)AJForex Sessions + Killzones (Boxes)AJForex Sessions + Killzones (Boxes)AJForex Sessions + Killzones (Boxes)AJForex Sessions + Killzones (Boxes)AJForex Sessions + Killzones (Boxes)
YoY Gain till current yearYoy gains that helps you build your data base. You can see all the gains from the past 20 years and thus helps you analyze the stock movement and expected gain over the period of time, com bine this information with market cap of the stock and you can know its future potential combined with current and past earnings analysis.
Institutional Interest DisplayIndicator Overview:
This dashboard helps evaluate stocks quickly based on Market Cap, 52-week positioning, and liquidity metrics. It combines price strength with volume demand signals for breakout or institutional interest.
Logic Implemented:
1. Market Cap Classification:
- Market Cap = close × shares_outstanding (built-in value if available)
- Large-cap: ≥ ₹20,000 Cr
- Mid-cap: ₹5,000 – 20,000 Cr
- Small-cap: < ₹5,000 Cr
2. 52-Week Range (% from High/Low):
- 52W High = ta.highest(high, 252)
- 52W Low = ta.lowest(low, 252)
- % from 52W High = (Close ÷ 52W High – 1) × 100
- % from 52W Low = (Close ÷ 52W Low – 1) × 100
- CANSLIM logic → Prefer stocks near highs, avoid near lows
3. Average Daily Volume (ADV):
- ADV = ta.sma(volume, 50)
- Chosen 50D (more reliable than 20/30D, smooths anomalies)
4. Breakout Volume Confirmation:
- Volume Signal = Current Volume ÷ ADV
- Breakout Threshold = >1.5 × ADV
- Helps detect demand-driven price breakouts
5. % Change in Volume vs ADV:
- %Chg = ((Current Vol ÷ ADV) – 1) × 100
- Indicates abnormal activity vs typical trading
6. Up/Down Volume Ratio (U/D Ratio):
- Defined as: (Sum of volume on up days ÷ Sum of volume on down days)
- 50-day window
- U/D > 1 = net buying pressure
- U/D > 1.2 = stronger institutional demand
7. Up Days with Volume ≥ 1.5 × ADV:
- Counts number of up days (Close > Previous Close) in last 50 days where Volume ≥ 1.5 × ADV
8. Average Turnover:
- AvgTurnover = Avg Volume × Price
- Thresholds:
- Large-cap ≥ 1000M
- Mid-cap ≥ 200M
- Small-cap ≥ 50M
Table Layout:
- 4 Columns:
- Col 1 → Category, Market Cap, % from 52W Low, % from 52W High
- Col 2 → Values for above
- Col 3 → Avg Volume, Vol Today, %Chg Vol, U/D Ratio
- Col 4 → Values for above + Up Days >1.5 × ADV, Avg Turnover
Color Coding:
- Value cells have distinct background colors
- Labels = black text, grey background
- Green highlights signify thresholds met
Donchian Squeeze Oscillator# Donchian Squeeze Oscillator (DSO) - User Guide
## Overview
The Donchian Squeeze Oscillator is a technical indicator designed to identify periods of low volatility (squeeze) and high volatility (expansion) in financial markets by measuring the distance between Donchian Channel bands. The indicator normalizes this measurement to a 0-100 scale, making it easy to interpret across different timeframes and instruments.
## How It Works
The DSO calculates the width of Donchian Channels as a percentage of the middle line, smooths this data, and then normalizes it using historical highs and lows over a specified lookback period. The result is inverted so that:
- **High values (80+)** = Narrow channels = Low volatility = Squeeze
- **Low values (20-)** = Wide channels = High volatility = Expansion
## Key Parameters
### Core Settings
- **Donchian Channel Period (20)**: The number of bars used to calculate the highest high and lowest low for the Donchian Channels
- **Smoothing Period (5)**: Applies moving average smoothing to reduce noise in the oscillator
- **Normalization Lookback (200)**: Historical period used to normalize the oscillator between 0-100
### Threshold Levels
- **Over Squeeze (80)**: Values above this level indicate strong squeeze conditions
- **Over Expansion (20)**: Values below this level indicate strong expansion conditions
## Reading the Indicator
### Color Coding
- **Red Line**: Squeeze condition (above 80 threshold) - Markets are consolidating
- **Orange Line**: Neutral/trending condition with upward momentum
- **Green Line**: Expansion condition or downward momentum
### Visual Elements
- **Red Dashed Line (80)**: Squeeze threshold - potential breakout zone
- **Gray Dotted Line (50)**: Middle line - neutral zone
- **Green Dashed Line (20)**: Expansion threshold - high volatility zone
- **Red Background**: Highlights active squeeze periods
## Trading Applications
### 1. Breakout Trading
- **Setup**: Wait for DSO to reach 80+ (squeeze zone)
- **Entry**: Look for breakouts when DSO starts declining from squeeze levels
- **Logic**: Prolonged low volatility often precedes significant price movements
### 2. Volatility Cycle Trading
- **Squeeze Phase**: DSO > 80 - Prepare for potential breakout
- **Breakout Phase**: DSO declining from 80 - Trade the direction of breakout
- **Expansion Phase**: DSO < 20 - Expect trend continuation or reversal
### 3. Trend Confirmation
- **Orange Color**: Suggests bullish momentum during expansion
- **Green Color**: Suggests bearish momentum or consolidation
- Use in conjunction with price action for trend confirmation
## Best Practices
### Timeframe Selection
- **Higher Timeframes (Daily, 4H)**: More reliable signals, fewer false breakouts
- **Lower Timeframes (1H, 15M)**: More frequent signals but higher noise
- **Multi-timeframe Analysis**: Confirm squeeze on higher TF, enter on lower TF
### Parameter Optimization
- **Volatile Markets**: Increase Donchian period (25-30) and smoothing (7-10)
- **Range-bound Markets**: Decrease Donchian period (15-20) for more sensitivity
- **Trending Markets**: Use longer normalization lookback (300-400)
### Signal Confirmation
Always combine DSO signals with:
- **Price Action**: Support/resistance levels, chart patterns
- **Volume**: Confirm breakouts with increasing volume
- **Other Indicators**: RSI, MACD, or momentum oscillators
## Alert System
The indicator includes built-in alerts for:
- **Squeeze Started**: When DSO crosses above the squeeze threshold
- **Expansion Started**: When DSO crosses below the expansion threshold
## Common Pitfalls to Avoid
1. **False Breakouts**: Don't trade every squeeze - wait for confirmation
2. **Parameter Over-optimization**: Stick to default settings initially
3. **Ignoring Market Context**: Consider overall market conditions and news
4. **Single Indicator Reliance**: Always use additional confirmation tools
## Advanced Tips
- Monitor squeeze duration - longer squeezes often lead to bigger moves
- Look for squeeze patterns at key support/resistance levels
- Use DSO divergences with price for potential reversal signals
- Combine with Bollinger Band squeezes for enhanced accuracy
## Conclusion
The Donchian Squeeze Oscillator is a powerful tool for identifying volatility cycles and potential breakout opportunities. Like all technical indicators, it should be used as part of a comprehensive trading strategy rather than as a standalone signal generator. Practice with the indicator on historical data before implementing it in live trading to understand its behavior in different market conditions.
BreakTrend MatrixBreakTrend Matrix is a smart indicator designed to be easy to use yet powerful, suitable for traders of all levels, whether they are scalpers, breakout traders or swing traders. It supports analysis of multiple time frames in one.
YBL_LUXE — Squeeze Momentum (Panel + Pinta Velas) v1.0📌 Description of the indicator: YBL_LUXE — Squeeze Momentum Panel
The YBL_LUXE Squeeze Momentum Panel is an advanced tool that combines momentum analysis with a squeeze detector, giving traders a precise view of when the market is contracting and when it may explode into strong directional moves.
🔎 How it works
Momentum Histogram:
Green/Blue bars → Strong bullish pressure.
Red/Orange bars → Strong bearish pressure.
Fading colors → Weakening momentum.
Squeeze ON/OFF signals:
Black dots (ON) → Market is in compression (Bollinger Bands inside Keltner Channels).
Yellow dots (OFF) → Compression is released, possible breakout coming.
⚡ Key Benefits
Detects accumulation phases and breakout conditions.
Highlights true momentum and filters noise.
Clean and professional design, fully customizable.
Works on any asset or timeframe (stocks, indices, futures, forex, crypto).
🎯 Trading Tips
Watch for Squeeze ON (black dots) → the market is storing energy.
When dots switch to Squeeze OFF (yellow) → watch for a potential breakout.
Confirm direction with histogram colors:
Green/blue = bullish bias.
Red/orange = bearish bias.
🛠️ Settings & Customization
Adjustable histogram colors.
Squeeze dots ON/OFF colors.
Zero line visibility.
Histogram style customization.
👉 Ideal for scalping, day trading, and swing trading, this indicator gives you a powerful visual confirmation of market compression and expansion phases.
YBL_LUXE — Squeeze Momentum (Panel + Pinta Velas) v1.0📌 Description of the indicator: YBL_LUXE — Squeeze Panel v1.0
The YBL_LUXE Squeeze Panel combines momentum analysis with the detection of squeeze zones, offering a clear and visually powerful view of when the market is building up energy and when it releases it into directional moves.
🔎 How it works
The histogram shows price momentum:
Strong Green/Blue → Strong bullish momentum.
Strong Red/Orange → Strong bearish momentum.
Lighter colors → Gradual loss of strength.
The Squeeze ON/OFF system (dots):
Black (ON) → Market in compression (Bollinger Bands inside Keltner Channels).
Yellow (OFF) → Market has released compression and may start an explosive move.
⚡ Key advantages
Easily identifies accumulation moments and potential breakouts.
Highlights true momentum, filtering out market noise.
Clean and professional design, 100% customizable in colors and styles.
Works on any timeframe and asset (indices, futures, forex, crypto, stocks).
🎯 How to use
Wait for Squeeze ON (black dots) → market is compressing.
When it switches to Squeeze OFF (yellow dots) → market may release energy and move strongly.
Confirm the direction with the momentum histogram color:
Green/blue → higher probability of bullish breakout.
Red/orange → higher probability of bearish breakout.
🛠️ Customization
From the settings panel you can adjust:
Histogram colors.
Squeeze dots colors (ON/OFF).
Zero line visibility.
Histogram bar style.
👉 This indicator is ideal for scalping, day trading, and swing trading, as it helps detect consolidation zones and strong breakouts, combining compression + momentum.
YBL_LUXE — Squeeze Momentum (Panel + Pinta Velas) v1.0📌 Description of the indicator: YBL_LUXE — Squeeze Panel v1.0
The YBL_LUXE Squeeze Panel combines momentum analysis with the detection of squeeze zones, offering a clear and visually powerful view of when the market is building up energy and when it releases it into directional moves.
🔎 How it works
The histogram shows price momentum:
Strong Green/Blue → Strong bullish momentum.
Strong Red/Orange → Strong bearish momentum.
Lighter colors → Gradual loss of strength.
The Squeeze ON/OFF system (dots):
Black (ON) → Market in compression (Bollinger Bands inside Keltner Channels).
Yellow (OFF) → Market has released compression and may start an explosive move.
⚡ Key advantages
Easily identifies accumulation moments and potential breakouts.
Highlights true momentum, filtering out market noise.
Clean and professional design, 100% customizable in colors and styles.
Works on any timeframe and asset (indices, futures, forex, crypto, stocks).
🎯 How to use
Wait for Squeeze ON (black dots) → market is compressing.
When it switches to Squeeze OFF (yellow dots) → market may release energy and move strongly.
Confirm the direction with the momentum histogram color:
Green/blue → higher probability of bullish breakout.
Red/orange → higher probability of bearish breakout.
🛠️ Customization
From the settings panel you can adjust:
Histogram colors.
Squeeze dots colors (ON/OFF).
Zero line visibility.
Histogram bar style.
👉 This indicator is ideal for scalping, day trading, and swing trading, as it helps detect consolidation zones and strong breakouts, combining compression + momentum.
ICT Silver Bullet Zones (All Sessions)This Pine Script v6 indicator highlights the ICT Silver Bullet windows (10:00–11:00 local time) for all major forex/trading sessions: London, New York AM, New York PM, and Asia.
✅ Features:
Clearly visualizes Silver Bullet zones for each session.
Labels are centered inside each zone for easy identification.
Fully compatible with Pine Script v6 and TradingView.
Adjustable opacity and label size for better chart visibility.
Works on any timeframe and keeps historical zones visible.
Use Case:
Perfect for ICT strategy traders who want to identify high-probability trading windows during major market sessions. Helps in planning entries and understanding liquidity timing without cluttering the chart.
Instructions:
Add the script to your TradingView chart.
Adjust opacity and label size to suit your chart style.
Observe the SB zones for all sessions and plan trades according to ICT methodology.
EMA 20–55 + SMMA50 (20↔55 Band, Alerts, Color Controls)This script plots a customizable EMA ribbon and a smoothed moving average (SMMA).
Key features:
EMA 20 (blue) and EMA 55 (yellow) highlighted with a green/red background ribbon depending on trend.
Optional middle EMAs (25, 30, 35, 40, 45, 50) can be shown or hidden.
SMMA (50) plotted in white as a trend smoother.
Customizable line colors, band colors, and transparency.
Alerts for EMA20/EMA55 bullish or bearish crossovers.
Optional candle bar coloring based on trend.
This is useful for quickly spotting medium-term trend shifts when EMA20 crosses EMA55, while still tracking the broader EMA ribbon context.
NSE: N50, BN, MIDCAP, FINNIFTY Gainers/Losers JitendraSummary of This Indicator
I Have Created This Gainers/Losers dashboard for selected NSE Indices
It is Divided in to symbol groups
1. Nifty Top 39 -High Weight Stocks
2. Nifty Rest 11-Remaining 11 Nifty stocks Low Weightage
3. Bank Nifty,
4. Financial Services,
5. Midcap Select
All Stock Used in Script is As per Latest Data Published by NSE, you can also check buy clicking below link
www.niftyindices.com
Main Features of Indicator
It Has Two Display Modes
Full Table → Shows each stock’s name and its daily % change, sorted from top gainer to top loser.
Compact Count Table → Shows just total number of gainers vs losers.
Customizable Inputs
Choose symbol list (High-weight Nifty, Bank Nifty, etc.).
Select table size (tiny → large).
Control table position (Top/Bottom/Middle, Left/Right/Center).
Customize gainer/loser colors.
Option to toggle full table or compact table on/off.
Data Handling
Fetches each stock’s close price vs previous day using request.security().
Calculates % change for all symbols.
Uses a bubble sort function to arrange stocks in descending order of % change.
Outputs
Full Gainers/Losers Table (sorted, detailed).
Compact Summary Table (just counts).
After Selecting Nifty Indices
Data Fetch Command Summary
Symbol Loop & Data Fetch
for i = 0 to array.size(symbolList)-1
sym = array.get(symbolList, i)
= request.security(sym, 'D', [close, close ])
chg = na(y) ? na : (c - y) / y * 100
if not na(chg)
array.push(chgList, chg) // store % change
array.push(nameList, sym) // store symbol name
gainers += chg > 0 ? 1 : 0
losers += chg < 0 ? 1 : 0
Sorting Function (Bubble Sort, Descending by % Change)
f_sortDesc(_a, _b) =>
len = array.size(_a)
if len > 1
for i = 0 to len - 2
for j = i + 1 to len - 1
if array.get(_a, j) > array.get(_a, i)
tempVal = array.get(_a, i)
tempSym = array.get(_b, i)
array.set(_a, i, array.get(_a, j))
array.set(_b, i, array.get(_b, j))
array.set(_a, j, tempVal)
array.set(_b, j, tempSym)
Thanks
Pivot Matrix & Multi-Timeframe Support-Resistance Analytics________________________________________
📘 Study Material for Pivot Matrix & Multi Timeframe Support-Resistance Analytics
(By aiTrendview — Educational Use Only)
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🎯 Introduction
The Pivot Matrix & Multi Timeframe Support-Resistance Analytics indicator is designed to help traders visualize pivot points, support/resistance levels, VWAP, and volume flow analytics all in one place. Rather than giving explicit buy/sell calls, the dashboard provides reference insights so a learner may understand how different technical levels interact in real time.
This document explains its functionality step by step with formulas and usage guides.
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1️⃣ Pivot System Logic
Pivot points are classic tools for mapping market support and resistance levels.
✦ How Calculated?
Using the Traditional Method:
• Pivot Point (PP):
PP=Highprev+Lowprev+Closeprev3PP = \frac{High_{prev} + Low_{prev} + Close_{prev}}{3}PP=3Highprev+Lowprev+Closeprev
• First Support/Resistance:
R1=2×PP−Lowprev,S1=2×PP−HighprevR1 = 2 \times PP - Low_{prev}, \quad S1 = 2 \times PP - High_{prev}R1=2×PP−Lowprev,S1=2×PP−Highprev
• Second Support/Resistance:
R2=PP+(Highprev−Lowprev),S2=PP−(Highprev−Lowprev)R2 = PP + (High_{prev} - Low_{prev}), \quad S2 = PP - (High_{prev} - Low_{prev})R2=PP+(Highprev−Lowprev),S2=PP−(Highprev−Lowprev)
• Third Levels:
R3=Highprev+2×(PP−Lowprev),S3=Lowprev−2×(Highprev−PP)R3 = High_{prev} + 2 \times (PP - Low_{prev}), \quad S3 = Low_{prev} - 2 \times (High_{prev} - PP)R3=Highprev+2×(PP−Lowprev),S3=Lowprev−2×(Highprev−PP)
• Similarly, R4/R5 and S4/S5 are extrapolated from extended range multipliers.
✦ How Used?
• Price above PP → bullish control bias.
• Price below PP → bearish control bias.
• R1–R5 levels act as resistances; S1–S5 act as supports.
Learners should watch how candles behave when approaching R/S zones to spot breakout vs. rejection conditions.
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2️⃣ Multi Timeframe Logic
The indicator allows using daily-based pivot values (via request.security). This ensures alignment with institutional daily levels, not just intraday recalculations.
✦ Teaching Value
Understanding MTF pivots shows how markets respect higher timeframe levels (daily > intraday, weekly > daily). This helps learners grasp nested support-resistance structures.
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3️⃣ VWAP (Volume Weighted Average Price)
Formula:
VWAPt=∑(Pricei×Volumei)∑(Volumei),Pricei=High+Low+Close3VWAP_t = \frac{\sum (Price_i \times Volume_i)}{\sum (Volume_i)}, \quad Price_i = \frac{High + Low + Close}{3}VWAPt=∑(Volumei)∑(Pricei×Volumei),Pricei=3High+Low+Close
Usage:
• VWAP is used as an institutional benchmark of fair value.
• Above VWAP = bullish flow.
• Below VWAP = bearish flow.
Learners should check whether price respects VWAP as a magnet or uses it as support/resistance.
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4️⃣ Volume Flow Analysis
The script classifies buy volume, sell volume, and neutral volume.
• Buy Volume = if close > open.
• Sell Volume = if close < open.
• Neutral Volume = if close = open.
For daily tracking:
Buy%=DayBuyVolDayTotalVol×100,Sell%=DaySellVolDayTotalVol×100Buy\% = \frac{DayBuyVol}{DayTotalVol} \times 100, \quad Sell\% = \frac{DaySellVol}{DayTotalVol} \times 100Buy%=DayTotalVolDayBuyVol×100,Sell%=DayTotalVolDaySellVol×100
Usage for Learners:
• Dominant Buy% → accumulation/ bullish pressure.
• Dominant Sell% → distribution/ bearish pressure.
• Balanced → sideways liquidity building.
This teaches observation of order flow bias rather than relying only on price.
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5️⃣ Dashboard Progress Bars & Colors
The script uses visual progress bars and dynamic colors for clarity. For example:
• VWAP Backgrounds: Green shades when price strongly above VWAP, Red when below.
• Volume Bars: More green blocks mean buying dominance, red means selling pressure.
This visual design turns concepts into easy-to-digest cues, useful for training.
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6️⃣ Market Status Summary
Finally, the dashboard synthesizes all data points:
• Price vs Pivot (above or below).
• Price vs VWAP (above or below).
• Volume Pressure (buy side vs sell side).
Status Rule:
• If all three align bullish → Status box turns green.
• If mixed → Neutral grey.
• If bearish dominance → weaker tone.
Why Important?
This teaches learners that market conditions should align in confluence across indicators before confidence arises.
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⚠️ Strict Disclaimer (aiTrendview)
The Pivot Matrix & Multi Timeframe Support-Resistance Analytics tool is developed by aiTrendview for strictly educational and research purposes.
❌ It does NOT provide buy/sell recommendations.
❌ It does NOT guarantee profits.
❌ Unauthorized use, copying, or redistribution of this code is prohibited.
⚠️ Trading Risk Warning:
• Trading involves high risk of financial loss.
• You may lose more than your capital.
• Past levels and indicators do not predict future outcomes.
This tool must be viewed as a visual education aid to practice technical analysis skills, not as trading advice.
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✅ Now you have a step by step study guide:
• Pivot calculations explained
• VWAP with logic
• Volume breakdown
• Visual analytics
• Status confluence logic
• Disclaimer for compliance
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⚠️ Warning:
• Trading financial markets involves substantial risk.
• You can lose more money than you invest.
• Past performance of indicators does not guarantee future results.
• This script must not be copied, resold, or republished without authorization from aiTrendview.
By using this material or the code, you agree to take full responsibility for your trading decisions and acknowledge that this is not financial advice.
________________________________________
⚠️ Disclaimer and Warning (From aiTrendview)
This Dynamic Trading Dashboard is created strictly for educational and research purposes on the TradingView platform. It does not provide financial advice, buy/sell recommendations, or guaranteed returns. Any use of this tool in live trading is completely at the user’s own risk. Markets are inherently risky; losses can exceed initial investment.
The intellectual property of this script and its methodology belongs to aiTrendview. Unauthorized reproduction, modification, or redistribution of this code is strictly prohibited. By using this study material or the script, you acknowledge personal responsibility for any trading outcomes. Always consult professional financial advisors before making investment decisions.
DYNAMIC TRADING DASHBOARDStudy Material for the "Dynamic Trading Dashboard"
This Dynamic Trading Dashboard is designed as an educational tool within the TradingView environment. It compiles commonly used market indicators and analytical methods into one visual interface so that traders and learners can see relationships between indicators and price action. Understanding these indicators, step by step, can help traders develop discipline, improve technical analysis skills, and build strategies. Below is a detailed explanation of each module.
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1. Price and Daily Reference Points
The dashboard displays the current price, along with percentage change compared to the day’s opening price. It also highlights whether the price is moving upward or downward using directional symbols. Alongside, it tracks daily high, low, open, and daily range.
For traders, daily levels provide valuable reference points. The daily high and low are considered intraday support and resistance, while the median price of the day often acts as a pivot level for mean reversion traders. Monitoring these helps learners see how price oscillates within daily ranges.
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2. VWAP (Volume Weighted Average Price)
VWAP is calculated as a cumulative average price weighted by volume. The dashboard compares the current price with VWAP, showing whether the market is trading above or below it.
For traders, VWAP is often a guide for institutional order flow. Price trading above VWAP suggests bullish sentiment, while trading below VWAP indicates bearish sentiment. Learners can use VWAP as a training tool to recognize trend-following vs. mean reversion setups.
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3. Volume Analysis
The system distinguishes between buy volume (when the closing price is higher than the open) and sell volume (when the closing price is lower than the open). A progress bar highlights the ratio of buying vs. selling activity in percentage.
This is useful because volume confirms price action. For instance, if prices rise but sell volume dominates, it can signal weakness. New traders learning with this tool should focus on how volume often precedes price reversals and trends.
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4. RSI (Relative Strength Index)
RSI is a momentum oscillator that measures price strength on a scale from 0 to 100. The dashboard classifies RSI readings into overbought (>70), oversold (<30), or neutral zones and adds visual progress bars.
RSI helps learners understand momentum shifts. During training, one should notice how trending markets can keep RSI extended for longer periods (not immediate reversal signals), while range-bound markets react more sharply to RSI extremes. It is an excellent tool for practicing trend vs. range identification.
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5. MACD (Moving Average Convergence Divergence)
The MACD indicator involves a fast EMA, slow EMA, and signal line, with focus on crossovers. The dashboard shows whether a “bullish cross” (MACD above signal line) or “bearish cross” (MACD below signal line) has occurred.
MACD teaches traders to identify trend momentum shifts and divergence. During practice, traders can explore how MACD signals align with VWAP trends or RSI levels, which helps in building a structured multi-indicator analysis.
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6. Stochastic Oscillator
This indicator compares the current close relative to a range of highs and lows over a period. Displayed values oscillate between 0 and 100, marking zones of overbought (>80) and oversold (<20).
Stochastics are useful for students of trading to recognize short-term momentum changes. Unlike RSI, it reacts faster to price volatility, so false signals are common. Part of the training exercise can be to observe how stochastic “flips” can align with volume surges or daily range endpoints.
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7. Trend & Momentum Classification
The dashboard adds simple labels for trend (uptrend, downtrend, neutral) based on RSI thresholds. Additionally, it provides quick momentum classification (“bullish hold”, “bearish hold”, or neutral).
This is beneficial for beginners as it introduces structured thinking: differentiating long-term market bias (trend) from short-term directional momentum. By combining both, traders can practice filtering signals instead of trading randomly.
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8. Accumulation / Distribution Bias
Based on RSI levels, the script generates simplified tags such as “Accumulate Long”, “Accumulate Short”, or “Wait”.
This is purely an interpretive guide, helping learners think in terms of accumulation phases (when markets are low) and distribution phases (when markets are high). It reinforces the concept that trading is not only directional but also involves timing.
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9. Overall Market Status and Score
Finally, the dashboard compiles multiple indicators (VWAP position, RSI, MACD, Stochastics, and price vs. median levels) into a Market Score expressed as a percentage. It also labels the market as Overbought, Oversold, or Normal.
This scoring system isn’t a recommendation but a learning framework. Students can analyze how combining different indicators improves decision-making. The key training focus here is confluence: not depending on one indicator but observing when several conditions align.
Extended Study Material with Formulas
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1. Daily Reference Levels (High, Low, Open, Median, Range)
• Day High (H): Maximum price of the session.
DayHigh=max(Hightoday)DayHigh=max(Hightoday)
• Day Low (L): Minimum price of the session.
DayLow=min(Lowtoday)DayLow=min(Lowtoday)
• Day Open (O): Opening price of the session.
DayOpen=OpentodayDayOpen=Opentoday
• Day Range:
Range=DayHigh−DayLowRange=DayHigh−DayLow
• Median: Mid-point between high and low.
Median=DayHigh+DayLow2Median=2DayHigh+DayLow
These act as intraday guideposts for seeing how far the price has stretched from its key reference levels.
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2. VWAP (Volume Weighted Average Price)
VWAP considers both price and volume for a weighted average:
VWAPt=∑i=1t(Pricei×Volumei)∑i=1tVolumeiVWAPt=∑i=1tVolumei∑i=1t(Pricei×Volumei)
Here, Price_i can be the average price (High + Low + Close) ÷ 3, also known as hlc3.
• Interpretation: Price above VWAP = bullish bias; Price below = bearish bias.
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3. Volume Buy/Sell Analysis
The dashboard splits total volume into buy volume and sell volume based on candle type.
• Buy Volume:
BuyVol=Volumeif Close > Open, else 0BuyVol=Volumeif Close > Open, else 0
• Sell Volume:
SellVol=Volumeif Close < Open, else 0SellVol=Volumeif Close < Open, else 0
• Buy Ratio (%):
VolumeRatio=BuyVolBuyVol+SellVol×100VolumeRatio=BuyVol+SellVolBuyVol×100
This helps traders gauge who is in control during a session—buyers or sellers.
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4. RSI (Relative Strength Index)
RSI measures strength of momentum by comparing gains vs. losses.
Step 1: Compute average gains (AG) and losses (AL).
AG=Average of Upward Closes over N periodsAG=Average of Upward Closes over N periodsAL=Average of Downward Closes over N periodsAL=Average of Downward Closes over N periods
Step 2: Calculate relative strength (RS).
RS=AGALRS=ALAG
Step 3: RSI formula.
RSI=100−1001+RSRSI=100−1+RS100
• Used to detect overbought (>70), oversold (<30), or neutral momentum zones.
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5. MACD (Moving Average Convergence Divergence)
• Fast EMA:
EMAfast=EMA(Close,length=fast)EMAfast=EMA(Close,length=fast)
• Slow EMA:
EMAslow=EMA(Close,length=slow)EMAslow=EMA(Close,length=slow)
• MACD Line:
MACD=EMAfast−EMAslowMACD=EMAfast−EMAslow
• Signal Line:
Signal=EMA(MACD,length=signal)Signal=EMA(MACD,length=signal)
• Histogram:
Histogram=MACD−SignalHistogram=MACD−Signal
Crossovers between MACD and Signal are used in studying bullish/bearish phases.
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6. Stochastic Oscillator
Stochastic compares the current close against a range of highs and lows.
%K=Close−LowestLowHighestHigh−LowestLow×100%K=HighestHigh−LowestLowClose−LowestLow×100
Where LowestLow and HighestHigh are the lowest and highest values over N periods.
The %D line is a smooth version of %K (using a moving average).
%D=SMA(%K,smooth)%D=SMA(%K,smooth)
• Values above 80 = overbought; below 20 = oversold.
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7. Trend and Momentum Classification
This dashboard generates simplified trend/momentum logic using RSI.
• Trend:
• RSI < 40 → Downtrend
• RSI > 60 → Uptrend
• In Between → Neutral
• Momentum Bias:
• RSI > 70 → Bullish Hold
• RSI < 30 → Bearish Hold
• Otherwise Neutral
This is not predictive, only a classification framework for educational use.
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8. Accumulation/Distribution Bias
Based on extreme RSI values:
• RSI < 25 → Accumulate Long Bias
• RSI > 80 → Accumulate Short Bias
• Else → Wait/No Action
This helps learners understand the idea of accumulation at lows (strength building) and distribution at highs (profit booking).
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9. Overall Market Status and Score
The tool adds up 5 bullish conditions:
1. Price above VWAP
2. RSI > 50
3. MACD > Signal
4. Stochastic > 50
5. Price above Daily Median
BullishScore=ConditionsMet5×100BullishScore=5ConditionsMet×100
Then it categorizes the market:
• RSI > 70 or Stoch > 80 → Overbought
• RSI < 30 or Stoch < 20 → Oversold
• Else → Normal
This encourages learners to think in terms of probabilistic conditions instead of single-indicator signals.
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⚠️ Warning:
• Trading financial markets involves substantial risk.
• You can lose more money than you invest.
• Past performance of indicators does not guarantee future results.
• This script must not be copied, resold, or republished without authorization from aiTrendview.
By using this material or the code, you agree to take full responsibility for your trading decisions and acknowledge that this is not financial advice.
________________________________________
⚠️ Disclaimer and Warning (From aiTrendview)
This Dynamic Trading Dashboard is created strictly for educational and research purposes on the TradingView platform. It does not provide financial advice, buy/sell recommendations, or guaranteed returns. Any use of this tool in live trading is completely at the user’s own risk. Markets are inherently risky; losses can exceed initial investment.
The intellectual property of this script and its methodology belongs to aiTrendview. Unauthorized reproduction, modification, or redistribution of this code is strictly prohibited. By using this study material or the script, you acknowledge personal responsibility for any trading outcomes. Always consult professional financial advisors before making investment decisions.
Tick Ratio Simulator - Advanced Market Sentiment IndicatorOverview
The Tick Ratio Simulator is a sophisticated market sentiment indicator that provides real-time insights into buying and selling pressure dynamics. This proprietary indicator transforms complex market microstructure data into actionable trading signals.
Key Features
Real-Time Sentiment Analysis: Captures instantaneous shifts in market momentum
Multi-Timeframe Adaptability: Customizable calculation periods for any trading style
Visual Clarity: Color-coded histogram with dynamic zone highlighting
Integrated Alert System: Pre-configured alerts for key market transitions
Performance Dashboard: Live metrics display for informed decision-making
Trading Applications
✓ Trend Confirmation: Validate existing trends with momentum analysis
✓ Reversal Detection: Identify potential turning points at extreme readings
✓ Entry/Exit Timing: Optimize trade execution with overbought/oversold zones
✓ Risk Management: Clear visual boundaries for position sizing decisions
Signal Interpretation
Extreme Zones (±75): High probability reversal areas
Standard Thresholds (±50): Traditional overbought/oversold levels
Zero Line Crossings: Momentum shift confirmations
Histogram Expansion/Contraction: Strength of directional bias
Customization Options
Adjustable calculation and smoothing periods
Fully customizable color schemes
Toggle histogram and reference lines
Real-time information table positioning
Alert Conditions
Four pre-built alert templates for automated notifications:
Momentum threshold breaches
Directional changes
Extreme zone entries
Custom level crossovers
Best Practices
Works exceptionally well when combined with:
Volume analysis
Support/resistance levels
Price action patterns
Other momentum oscillators
Note: This indicator uses proprietary calculations to simulate institutional-grade tick analysis without requiring actual tick data feeds. Results are optimized for liquid markets with consistent volume profiles.
For optimal results, adjust parameters based on your specific instrument and timeframe. Past performance does not guarantee future results.
EMA + Dynamic Fib TradeNestDescription:
This custom indicator combines Exponential Moving Averages (EMA) and Ichimoku to provide a momentum and trend-based framework for day trading.
9 EMA and 21 EMA are used to identify short-term momentum shifts. A bullish signal occurs when the 9 EMA crosses above the 21 EMA, suggesting potential call opportunities, while a bearish signal occurs when the 9 EMA crosses below the 21 EMA, suggesting potential put opportunities.
50 EMA is included as an additional trend filter to help confirm overall market direction.
Ichimoku is plotted as a forward-looking dynamic support/resistance level. It behaves similarly to a Fibonacci retracement level, offering context for where price may find support or rejection. Ichimoku also helps determine whether current price action is aligned with a bullish or bearish trend environment.
By combining EMA crossovers with Ichimoku levels, this indicator provides a simple yet powerful method for identifying momentum entries and gauging the strength of price action relative to dynamic support/resistance.
