Monthly Chart Gold/Silver Strategy - NDAThis a strategy for the Monthly Chart
It indicates Buy & Sell points for trading Gold/Silver or other Precious Metals commodities or ETFs.
Its a simple strategy based on the MACD and RSI indicators.
I hope that you like it and find it useful
Göstergeler ve stratejiler
Agnostic Z-Score Regime momentum script that defnies regimes bij bear / neutral / bull based on zscore's to generate less volatility and better risk adjusted returns
SV Spread FilterAdditional chart for Silver spread, which highlights not relevant periods (clearings and night time)
Gold Premium Histogram
Compares Altins1 to gram gold in turkish lira to see the deviation and suggesting when to arbitrage
Sweeps + FVG + IFVG The ICT stuff in an indicator
Shows liquidity sweeps
Shows HTF FVG
shows IFVG
shows entries and take profit
Weekly EMA Squeeze (Bullish + Bearish)Purpose
The Weekly EMA Squeeze indicator identifies periods where price is compressing tightly around a cluster of weekly EMAs and then flags when that compression resolves with directional bias. It is designed to surface high-timeframe inflection points where trends are most likely to begin or meaningfully change.
This indicator operates entirely on weekly data, even when viewed on lower timeframes.
________________________________________
Core Components
1. Weekly EMA Cluster
• Uses three weekly EMAs (fast / mid / slow)
• Compression is defined by:
o Tight EMA spread
o Reduced weekly volatility (ATR contraction)
• Represents balance and indecision at a higher timeframe
2. Bullish Weekly EMA Squeeze
Triggered when:
• EMAs are tightly compressed
• Price is holding above or within the EMA cluster
• EMA slopes flatten or turn upward (optional filter)
• Optional requirement: weekly close above EMA cluster
Displayed as:
• Green upward triangles
• Green vertical shaded band marking the squeeze event window
3. Bearish Weekly EMA Squeeze
Triggered when:
• EMAs are tightly compressed
• Price is holding below or within the EMA cluster
• EMA slopes flatten or turn downward (optional filter)
• Optional requirement: weekly close below EMA cluster
Displayed as:
• Red downward triangles
• Red vertical shaded band marking the squeeze event window
4. Vertical Shaded Event Bands
• Each squeeze event (bull or bear) is visually marked with a vertical shaded region
• Shading appears on every qualifying event, including consecutive ones
• Purpose: clearly identify when the market entered a compressed, directional decision state
________________________________________
What the Indicator Is Signaling
• Compression + directional bias, not immediate breakouts
• Transition points between:
o Range → trend
o Trend → reversal
o Trend → re-acceleration after consolidation
This indicator does not attempt to predict magnitude — it identifies timing and regime change risk.
________________________________________
How to Use It
Best used for:
• High-timeframe bias setting
• Filtering lower-timeframe signals
• Identifying when to stop fading price
• Recognizing when volatility expansion is likely
Typical interpretations:
• Bullish squeeze → bias shifts upward; favor long exposure
• Bearish squeeze → bias shifts downward; favor defensive or short exposure
• Multiple squeezes in same direction → trend reinforcement
• Rapid bull ↔ bear flips → higher-timeframe indecision
________________________________________
What It Is Not
• Not an entry trigger by itself
• Not a momentum oscillator
• Not a replacement for breakout confirmation
This indicator answers:
“Is the weekly market coiling, and in which direction is pressure building?”
Signal Quality Score (SQS) 🔹 Short Public Description
Anti Trap Confirmation is a non-directional market filter designed to identify higher-quality trading conditions.
It does not provide buy or sell signals and does not predict market direction.
The indicator helps traders avoid low-quality and trap-prone environments by analyzing price acceptance, volume behavior, and VWAP context.
Use this tool only as a confirmation layer alongside your own trading strategy and risk management.
🔹 Optimized Declaration (TradingView-Safe)
Anti Trap Confirmation evaluates market conditions to determine whether trading activity is statistically favorable.
It focuses on acceptance versus rejection behavior rather than signal generation or forecasting.
A visual marker appears only when multiple quality conditions align.
This script is not a trading system and does not guarantee performance or profitability.
All trading involves risk, and users are responsible for their own decisions.
Created by: Tarun Jangid
If you find this script useful, you may support the author by donating to encourage further development and research.
TC-AlgoThese analyses are provided for educational purposes only and do not constitute investment advice
EMA 9/26 Cross (Signals + Alerts)What it calculates
EMA 9 (fast) and EMA 26 (slow) on whatever price source you pick (default: close).
It watches for two events:
Bullish cross (BUY): EMA 9 crosses above EMA 26 (ta.crossover)
Bearish cross (SELL): EMA 9 crosses below EMA 26 (ta.crossunder)
What you see on the chart
Two EMA lines (fast + slow), plotted on the price chart (overlay=true).
Optional markers:
A triangle up under the candle labeled BUY on bullish cross.
A triangle down above the candle labeled SELL on bearish cross.
What you can customize (inputs)
Source (close, open, hl2, etc.)
Fast EMA length (defaults to 9)
Slow EMA length (defaults to 26)
Toggle to show/hide EMAs
Toggle to show/hide markers
Alerts (the important part)
It defines two alertcondition() rules:
“EMA 9/26 Bullish Cross” fires exactly when the bullish crossover happens.
“EMA 9/26 Bearish Cross” fires exactly when the bearish crossunder happens.
So in TradingView you can create alerts like:
Notify/push/email/webhook when BUY happens
Notify/push/email/webhook when SELL happens
What it does not do
It doesn’t place trades or track performance (no entries/exits, no P&L).
It won’t “stay long” or “stay short”—it only flags the moment of the cross.
If you want, I can modify Option A to:
only alert on confirmed bar close (to avoid intrabar “false crosses”),
add trend filter (e.g., only BUY if price > EMA200),
or add a cooldown so it won’t spam signals in choppy markets.
VWAP MTF 5-BandVWAP MTF Suite
Overview
The MTF Institutional VWAP Suite is a high-performance, multi-timeframe analysis tool designed for professional traders who require precise structural anchors. Built on the latest Pine Script v6 engine, this indicator allows for the simultaneous tracking of up to five independent VWAPs, each with its own volatility bands and customizable reset logic.
Unlike standard VWAP indicators that are limited to daily sessions, this suite provides institutional "magnets" across multiple horizons, allowing you to visualize where high-volume participants are positioned on a Daily, Weekly, Monthly, or Intraday basis.
Key Features
5 Independent VWAP Engines: Run up to five unique VWAPs concurrently without chart lag.
Multi-Timeframe Anchoring: Choose from hard-coded institutional pivots: Month, Week, Day, 12-Hour, 4-Hour, and 1-Hour.
Institutional Volatility Bands: Each VWAP includes an optional 1-Standard Deviation band calculated using cumulative variance logic for maximum precision.
Advanced UI Controls: Granular toggles for each instance allow you to display only the center line, only the bands, or the full shaded "value area" for any specific timeframe.
Modern Pine v6 Architecture: Utilizes the latest 2026 Pine Script optimizations, including method chaining and global-scope plot execution for a bug-free experience.
How to Use
Identify Value Clusters: When multiple VWAPs (e.g., Daily and Weekly) converge at a single price point, it creates a high-probability "Institutional Pivot" zone.
Mean Reversion: Use the 1-Standard Deviation bands to identify overextended price action. Institutional algorithms often mean-revert toward the VWAP when price reaches the exterior bands in a low-volatility environment.
Trend Confirmation: Use the slope and position of the 4-Hour or Daily VWAP to determine intraday bias. Trading above a rising VWAP confirms a "Long Gamma" or bullish trend.
Settings
Anchor Selection: Defines the starting point of the volume-weighted calculation.
Bands & Fill Toggles: Quickly clean up your chart by hiding the volatility bands or the background shading for specific timeframes.
Visual Customization: Full control over center line colors, global band colors, and label offsets to prevent text overlap on the right-hand scale.
Developer Notes
This script was optimized for the 2026 TradingView environment. It uses a custom variance-tracking function rather than the basic built-in ta.vwap to ensure that standard deviation bands remain mathematically accurate even when crossing multiple sessions or weekend gaps.
Adaptive Momentum Contextdaptive Momentum Context (AMC)
Adaptive Momentum Context (AMC) is a single-panel, overlay indicator designed to help traders read market context, momentum behavior, and volatility-driven rhythm in a structured and non-misleading way.
This indicator does not aim to predict future price movements. Instead, it focuses on describing current market conditions using adaptive smoothing and higher-timeframe bias.
Concept Overview
AMC is built around three core ideas:
Higher Timeframe Context (Bias)
Adaptive Market Rhythm
Momentum Behavior within Context
These components are combined to provide a clearer view of when momentum aligns with the broader market structure.
Higher Timeframe Bias
The indicator retrieves price data from a user-selected higher timeframe and compares it to a moving average on that timeframe.
When higher timeframe price is above its average, the background is shaded green.
When it is below, the background is shaded red.
This background does not generate signals.
Its purpose is to define directional context and reduce decision-making against dominant market conditions.
Adaptive Market Rhythm
Instead of using a fixed-length moving average, AMC calculates an adaptive smoothing length based on relative volatility.
When volatility expands, the smoothing period increases.
When volatility contracts, the smoothing period shortens.
Because Pine Script does not allow dynamic lengths in built-in moving averages, the adaptive line is calculated manually using a recursive EMA formula.
This ensures:
No repainting
No future data access
Full Pine Script v6 compliance
The adaptive line represents the current market rhythm, not a trend guarantee.
Momentum Behavior
Momentum is derived from changes in the adaptive rhythm rather than raw price.
Small visual markers appear when:
Momentum accelerates in the direction of the higher timeframe bias
Momentum decelerates against that bias
These markers are contextual cues, not standalone trade signals.
How to Use
AMC is best used as a context and filtering tool, not as a mechanical entry system.
Possible use cases:
Filtering lower-timeframe entries
Avoiding trades against higher-timeframe structure
Visualizing momentum shifts during pullbacks or continuations
Users are encouraged to combine this indicator with their own risk management and execution rules.
Important Notes
This indicator does not provide performance guarantees.
Past behavior does not imply future results.
No lookahead, no repainting, or non-standard chart types are used.
Default settings are intended for general use and may require adjustment depending on market and timeframe.
MRG Session High/LowMRG Session High/Low - Indicator Description
📊 Overview
This Pine Script indicator automatically displays key levels from Asian and London trading sessions on your TradingView chart. It plots the high and low points of each completed session, allowing you to quickly identify important support and resistance zones for your trades.
🎯 Key Features
Detected Sessions (New York Timezone)
Asian Session: 18:00 - 03:00 (6pm - 3am)
London Session: 03:00 - 09:00 (3am - 9.30am)
Plotted Levels
Session High: The highest point reached during the session
Session Low: The lowest point reached during the session
Start Lines: Vertical dashed lines marking the beginning of each session (optional)
⚙️ Customizable Settings
Display Options
✅ Show/hide Asian Session
✅ Show/hide London Session
✅ Show/hide session start lines
Style Options
🎨 Asian Color: Orange by default
🎨 London Color: Blue by default
🎨 Start lines color: Red by default
📏 Line thickness: Adjustable from 1 to 5
🔍 How It Works
Automatic Detection: The indicator automatically detects when a new session begins
Level Calculation: During each session, it continuously records highs and lows
Line Plotting: At the end of each session, it draws two horizontal lines:
One line at the session high level
One line at the session low level
Extension: Lines extend to the right for easy future identification
📈 Strategic Usage
For Breakout Trading
Trade breakouts of Asian and London session highs/lows
Breakouts from these levels often signal the beginning of significant moves
For Support and Resistance
Use these levels as key support and resistance zones
Prices often come back to test these levels during the New York session
For Multi-Timeframe Analysis
Identify consolidation during Asian/London sessions
Anticipate volatility at New York open
💡 Advantages
✨ Clear and automatic visualization of session levels
⏱️ Time-saving: no need to manually draw levels
🎯 Precise levels based on actual highs/lows of each session
🔄 Automatically updates daily
📱 Compatible with all timeframes (recommended: M5, M15, H1)
🎓 Ideal For
Forex traders (especially XAUUSD, EUR/USD, GBP/USD)
Scalpers and day traders
Session breakout strategies
Trading around New York open
Liquidity zone analysis
📌 Important Note
The indicator uses New York timezone (America/New_York) to ensure session time accuracy, regardless of your local timezone.
Custom Price Offsets v6.1Use the indicator to mark pullbacks and targets on your chart based off custom levels. Click to set the initial point on your chart. Can change your offsets in the settings menu. must delete and readd indicator to change set point.
Futures Calendar Spread Mean Reversion Strategyfutures calendar spread strategy:
Make sure you type in the correct spread in your chart
3 standard deviations for entry, with a stop at 4 standard deviations, seems to work best
don't select tp at mean
Use with energies and grains futures, anything very seasonal
Adaptive Market Structure Channel By S B PrasadAdaptive Market Structure Channel (AMSC)
Institutional-Grade Trend, Volatility & Liquidity Framework
Overview
The Adaptive Market Structure Channel (AMSC) is a multi-engine, adaptive trading framework designed to read market structure, volatility, liquidity, and trend strength in real time.
It integrates ATR-based channels, pivot structure, supply–demand zones, liquidity sweeps, multi-factor momentum, and higher-timeframe confirmation into a single, coherent visual system.
AMSC is not a single-indicator strategy.
It is a context-driven decision framework intended to help traders align entries with dominant trend, structural levels, and institutional activity.
Core Components
1️⃣ Adaptive ATR Trend Channel
Dynamic ATR-based support & resistance
Automatically adjusts to volatility
Color-coded trend strength (strong / weak regimes)
Acts as the primary trend bias filter
2️⃣ Pivot-Based ATR Trend Channels
Channels built from confirmed pivot highs and lows
ATR-expanded structure, not fixed slopes
Separates impulse moves from corrections
Useful for trend continuation and pullback trades
3️⃣ Market Structure: Supply & Demand Zones
Automatically plots fresh demand and supply zones
Zones extend forward until violated
Helps identify high-probability reaction areas
Used as a location filter, not a standalone signal
4️⃣ Liquidity Sweep Detection (Smart Money Logic)
Identifies equal high / equal low liquidity pools
Detects stop-hunt style sweeps
Validates sweeps only when price reacts from structure zones
Prevents chasing false breakouts
5️⃣ Multi-Factor Trend Confirmation Engine
Combines:
EMA structure
MACD momentum
RSI regime
VWAP positioning
Optional ribbon & HMA filters
Signals are generated only when a majority of factors align, avoiding single-indicator bias.
6️⃣ Volatility Context (Bollinger Bands)
Provides volatility expansion / contraction context
Helps distinguish trend continuation vs compression
Works as a background regime filter
7️⃣ Higher Timeframe Confirmation
Confirms trend using a user-selected HTF
Prevents counter-trend trades during strong HTF bias
Essential for intraday and swing traders
8️⃣ Session-Aware Trading
Optional India, London, and New York session filters
Signals only during active market participation
Avoids low-liquidity false signals
9️⃣ Professional Dashboard
Real-time display of:
Trend direction
Trend strength
Factor alignment
HTF bias
Active zone
Trade signal
Session status
Designed for quick decision-making, not clutter.
How to Use AMSC (Best Practice)
✔ Trade in the direction of the ATR trend
✔ Enter near demand/supply within the channel
✔ Confirm with factor alignment & HTF bias
✔ Use liquidity sweeps as entry triggers, not signals alone
✔ Avoid trades during low-strength or inactive sessions
AMSC performs best when used as a confluence system, not a mechanical entry-exit robot.
Ideal Use Cases
Intraday index trading
Swing trading in trending markets
Futures & FX structure-based trading
Traders who prefer context over indicators
What AMSC Is NOT
❌ Not a scalping toy
❌ Not a repainting indicator
❌ Not a one-click signal generator
It is built for disciplined traders who understand structure and risk.
Final Note
AMSC is designed to think like the market, not predict it.
Use it to read conditions, not chase signals.
MSC — BEST CLEAN SETUP (RECOMMENDED)
🎯 Design Philosophy
“Context first, signals last.”
The goal is to:
Read trend & structure at a glance
Avoid indicator overload
Let price + zones + channel do the heavy lifting
1️⃣ CORE VISUALS (KEEP ON)
These are non-negotiable.
🔹 Adaptive ATR Trend Channel
✅ ON
Primary trend bias
Use ATR Trendline Color = ON
This alone defines:
Bull vs Bear
Strength vs weakness
👉 If price is above channel → bullish context
👉 If price is below channel → bearish context
🔹 Pivot ATR Trend Channel
✅ ON
Channel fill: ON
Transparency ≥ 85
Purpose:
Visualise trend slope
Spot pullbacks inside trend
👉 Treat channel edges as dynamic structure, not entry signals.
🔹 Supply & Demand Zones
✅ ON
Transparency: 80–85
Zones auto-expire visually when violated
👉 These are your only horizontal levels.
2️⃣ SMART FILTERS (SELECTIVE)
💧 Liquidity Sweep
✅ ON
Lookback: 5
Tolerance: 0.15 ATR
👉 Use sweeps only near zones
❌ Ignore sweeps in the middle of nowhere
⏱ Session Filter
✅ ON
Trade only one session
India (for NSE)
London (for FX)
New York (for US indices)
❌ Do NOT enable multiple sessions simultaneously
🔍 Higher Timeframe (HTF)
✅ ON
Intraday: Daily
Swing: Weekly
👉 If HTF disagrees → no trade
3️⃣ WHAT TO TURN OFF (CRITICAL)
This is where clutter dies.
❌ Bollinger Bands
🚫 OFF by default
Use only when studying volatility compression
Otherwise adds visual noise
❌ Full ATR Channel (Ver 15)
🚫 OFF
Redundant with pivot + ATR trend
Keep only one channel logic
❌ SuperTrend Channel
🚫 OFF
ATR Trend Channel already covers this
❌ Pivot Levels (P, R1, S1…)
🚫 OFF
Zones replace static pivots
Too many horizontal lines = paralysis
❌ Previous Day / Week Levels
🚫 OFF
Turn ON only for index option trading
Otherwise clutter
4️⃣ MOVING AVERAGES (STRICT RULE)
Keep ONLY:
EMA Fast (9)
EMA Slow (21)
Optional:
HMA → ON only for scalping
❌ Do NOT stack multiple MAs visually
5️⃣ DASHBOARD (MINIMAL MODE)
🧭 Dashboard
✅ ON
Position: Top Right
Text Size: Small
Watch only:
Trend
Strength
HTF
Zone
Signal
Ignore factor numbers once confidence develops.
6️⃣ SIGNAL USAGE (DISCIPLINE RULE)
✔ Signal must appear inside a zone
✔ Signal must align with trend & HTF
✔ Signal must be during session
❌ Never take:
Signals mid-channel
Signals against HTF
Signals during flat strength (<30%)
7️⃣ RECOMMENDED PRESETS (COPY THIS)
🔹 Intraday (Clean)
Timeframe: 5m / 15m
HTF: Daily
Session: India / NY
BB: OFF
Full ATR: OFF
SuperTrend: OFF
Pivots: OFF
🔹 Swing (Ultra Clean)
Timeframe: 1H / 4H
HTF: Weekly
Liquidity: ON
Zones: ON
Dashboard: ON (small)
8️⃣ GOLDEN RULE (MOST IMPORTANT)
If you cannot explain the trade using only:
Trend channel
One zone
One sweep
Do not trade it.
🏁 FINAL VERDICT
AMSC is not cluttered by design.
Clutter comes from turning everything ON.
Used correctly:
The chart stays clean
Decisions become obvious
Overtrading disappears
AMSC – TRADE EXECUTION RULEBOOK
Framework rule:
Trend → Structure → Liquidity → Entry → Risk → Exit
1️⃣ MARKET PRE-CONDITIONS (MANDATORY)
❌ NO TRADE unless ALL are TRUE
✅ Trend Filter
ATR Trend Channel = Bull for longs / Bear for shorts
Trend strength ≥ 40%
Price must be on the correct side of the channel
✅ HTF Confirmation
HTF bias must match LTF trend
If HTF is neutral → NO TRADE
✅ Session Filter
Trade only during active session
No first 5 minutes after session open
No last 15 minutes before session close
2️⃣ LOCATION RULE (MOST IMPORTANT)
🔹 Long Trades
Price must be inside or just above a DEMAND zone
Zone must be:
Fresh (not tested more than twice)
Within the Pivot ATR Channel
🔹 Short Trades
Price must be inside or just below a SUPPLY zone
Same freshness rules apply
❌ No zone → no trade
3️⃣ LIQUIDITY CONFIRMATION (ENTRY TRIGGER)
🔹 Long Entry Trigger
At the demand zone, you must see:
✔ Sell-side liquidity sweep
✔ Sweep candle closes bullish
✔ Sweep occurs inside the zone
🔹 Short Entry Trigger
At the supply zone, you must see:
✔ Buy-side liquidity sweep
✔ Sweep candle closes bearish
✔ Sweep occurs inside the zone
4️⃣ ENTRY RULE (EXECUTION)
🔵 LONG ENTRY
Enter BUY when all conditions align and:
Enter at:
Close of the sweep candle OR
50% retrace of the sweep candle (preferred)
🔴 SHORT ENTRY
Enter SELL when:
Enter at:
Close of the sweep candle OR
50% retrace of the sweep candle
5️⃣ STOP-LOSS RULES (NON-NEGOTIABLE)
🔻 Long SL
Place SL at:
Lowest point of the demand zone
OR
Below sweep low − 0.1 ATR (whichever is lower)
🔺 Short SL
Place SL at:
Highest point of the supply zone
OR
Above sweep high + 0.1 ATR (whichever is higher)
❌ Never trail SL early
❌ Never move SL to break-even before partial exit
6️⃣ POSITION SIZE (FIXED RISK ONLY)
Risk per trade: 0.5% – 1% max
If SL distance is large → reduce position size
Do not widen SL to fit position
7️⃣ EXIT RULES (STRUCTURED)
🎯 TARGET 1 (T1 – Protection)
At 1R
Action:
Book 50%
Move SL to Break-Even
🎯 TARGET 2 (T2 – Structure)
Next opposite zone
OR
Pivot ATR Channel mid-line
Book 30%
🎯 FINAL EXIT (TREND FOLLOW)
Exit remaining 20% when:
✔ Opposite liquidity sweep occurs
✔ Price closes beyond Pivot ATR Channel
✔ HTF bias flips
✔ Session ends
8️⃣ NO-TRADE CONDITIONS (ABSOLUTE)
❌ Trend strength < 30%
❌ Zone already tested 3+ times
❌ Liquidity sweep outside zone
❌ Entry candle is oversized (>1.8 ATR)
❌ Trade against HTF
❌ Emotional or revenge trade
9️⃣ ONE-SCREEN TRADE CHECKLIST
Before clicking BUY/SELL:
✔ Trend aligned
✔ HTF aligned
✔ In session
✔ At zone
✔ Sweep confirmed
✔ SL defined
✔ R ≥ 2 possible
If any answer = NO → skip trade
🔒 DISCIPLINE STATEMENT (PRINT THIS)
AMSC does not pay for activity.
It pays for patience, location, and discipline.
🏁 EXPECTED PERFORMANCE (REALISTIC)
Win rate: 45–60%
R:R average: 1:2.5 to 1:4
Drawdown: low
Trade frequency: selective
Adaptive Market Structure Channel — Visual Layout
5
🧭 How to READ the Chart (Left → Right)
1️⃣ Core Trend Context (FIRST thing your eyes see)
ATR Trend Channel
Acts as dynamic support/resistance
Green = bullish regime
Red = bearish regime
No second trendline competing with it
👉 If price is on the wrong side → no trade
2️⃣ Pivot ATR Structure Channel (SECOND layer)
Sloping channel following real swing structure
Shows:
Trend acceleration
Healthy pullbacks
Channel fill is very light (high transparency)
👉 Pullbacks inside this channel are valid
👉 Breaks outside = caution / exit
3️⃣ Supply & Demand Zones (ONLY horizontal objects)
Few, wide, soft-colored zones
No pivot clutter, no fibs, no grids
👉 Trades happen only here
4️⃣ Liquidity Sweep Markers (EVENT-BASED)
Appears only near zones
Indicates stop-hunt, not entry by itself
👉 Sweep + zone + trend = setup
👉 Sweep alone = ignore
5️⃣ Dashboard (Decision Support, not distraction)
Small
Corner-placed
Shows only:
Trend
Strength
HTF bias
Zone
Signal
Session
👉 After experience, you’ll barely look at it
🚫 What You DO NOT See (Very Important)
A clean AMSC chart intentionally avoids:
Multiple moving averages
Pivot levels (P/R/S)
Too many channels
Oscillator panels
Bright fills or thick lines
If your chart looks “busy”, something is ON that should be OFF.
🧠 Mental Model (Keep This Image in Mind)
AMSC chart =
1 dynamic trend
1 structure channel
1 zone
1 liquidity event
1 decision
Anything more → clutter
Anything less → blind trading
✅ Final Visual Checklist (Before Trading)
✔ Chart background visible
✔ Candles clearly readable
✔ Zones visible but not loud
✔ Channel guides the eye
✔ Nothing overlaps price excessively
If yes → you are trading AMSC correctly
KDJ在 TradingView 发表脚本时,**描述(Description)** 非常重要。审核员要求描述必须详细说明脚本的**原理、独特性以及用法**,否则容易被驳回。
由于你的参数 (63, 21, 5) 非常特殊,属于“长周期/季度线”级别的设置,我在撰写描述时重点突出了它**“过滤噪音”**和**“捕捉中长期趋势”**的特点。
以下是为你准备的发布文案,包含**标题**和**正文(中英双语)**。你可以直接复制使用。
---
### 标题 (Title)
**KDJ Trend Filter (63, 21, 5) **
### 描述正文 (Description)
*(复制以下内容到 TradingView 的描述框中)*
** **
**Overview**
This is a custom KDJ indicator designed for **medium-to-long term trend analysis**. Unlike the default parameters (9, 3, 3) which are often too sensitive and prone to false signals in volatile markets, this script uses a specific set of parameters **(63, 21, 5)** to smooth out the noise.
**Why these parameters?**
* **N = 63 (Calculation Period):** Represents approximately one quarter (3 months) of trading days. This aligns the indicator with the quarterly trend rather than weekly fluctuations.
* **M1 = 21 (Smooth K):** A significantly higher smoothing factor for the K-line. This reduces the "jitter" and ensures that a crossover usually indicates a genuine shift in momentum.
* **M2 = 5 (Smooth D):** The smoothing period for the D-line.
**How to use**
1. **Trend Identification:** Due to the long period, this KDJ acts more like a trend-following tool than a typical oscillator.
2. **Crossovers:**
* **Golden Cross (K > D):** Suggests a potential start of a medium-term bullish trend.
* **Dead Cross (K < D):** Suggests a potential start of a medium-term bearish trend.
3. **Filtering:** This setup is excellent for filtering out market noise. It will react slower than standard KDJ but provides more reliable signals for swing traders.
**Settings**
* Calculation Period: 63
* MAC1 (K Smoothing): 21
* MAC2 (D Smoothing): 5
---
** **
**概述**
这是一个专为**中长期趋势分析**设计的 KDJ 指标。标准的 KDJ 参数(9, 3, 3)在震荡行情中过于敏感,容易产生虚假信号。本脚本采用了特定的长周期参数 **(63, 21, 5)**,旨在过滤短期市场噪音,捕捉更稳健的趋势方向。
**参数逻辑**
* **计算周期 (N) = 63:** 大约对应一个季度(3个月)的交易日。这意味着指标关注的是季度级别的价格位置,而非短期波动。
* **MAC1 (M1) = 21:** K值的平滑周期。相比默认值,21的平滑度极高,这使得 K 线非常平稳,只有在趋势发生实质性改变时才会转向。
* **MAC2 (M2) = 5:** D值的平滑周期。
**使用方法**
1. **趋势识别:** 由于周期较长,该指标具有“钝化”的特性,更适合作为趋势跟踪工具,而非短线超买超卖指标。
2. **交叉信号:**
* **金叉 (K上穿D):** 通常意味着中级行情的启动。
* **死叉 (K下穿D):** 通常意味着中级调整的开始。
3. **过滤噪音:** 在横盘震荡期间,该参数设置能有效减少频繁的交叉信号,帮助交易者拿住波段。
**默认设置**
* 计算周期:63
* MAC1:21
* MAC2:5
---
### 💡 发表前的检查清单 (Checklist)
1. **代码确认**:确保你的 Pine Script 代码中 `overlay=false`(因为 KDJ 是副图指标)。
2. **图表展示**:在点击发表前,最好在图表上画几条线或标记,展示一下金叉和死叉的位置,这样更容易通过审核,也能让用户一眼看懂。
3. **分类 (Category)**:建议选择 **"Trend Analysis" (趋势分析)** 和 **"Oscillators" (震荡指标)**。
如果你需要我帮你微调代码以符合上述描述(例如添加颜色填充或特定的信号标记),请告诉我!
Candle Countdown TimerCandle Countdown Timer - Real-Time Bar Close Indicator
Stay ahead of the market with this elegant countdown timer that shows exactly how much time remains until the current candle closes. Perfect for scalpers, day traders, and anyone who needs precise timing for their trading decisions.
✨ Key Features:
Universal Timeframe Support - Automatically adapts to any chart timeframe (1m, 5m, 15m, 1h, 4h, 1D, etc.)
Smart Positioning - Choose between two display modes:
Candle High/Low: Displays above bullish candles, below bearish candles
Current Price: Shows at the closing price level for easy reference
Color-Coded Display - Timer automatically matches your chart's candle colors (green for bullish, red for bearish) for instant visual clarity
Fully Customizable - Adjust font size (8-50), opacity (0-100), and placement to match your trading style and chart setup
Clean, Non-Intrusive Design - Minimal interface that provides critical information without cluttering your chart
📊 Perfect For :
Timing precise entries and exits
Scalping strategies requiring exact candle close timing
Multi-timeframe analysis
Managing time-sensitive trade setups
Avoiding last-second candle close surprises
🎯 How to Use :
Simply add the indicator to your chart and customize the settings to your preference. The countdown automatically updates in real-time, showing hours, minutes, and seconds remaining until the current bar closes.
⚙️ Settings:
Font Size: Numeric input (8-50) for precise size control
Text Opacity: Control visibility from 0 (solid) to 100 (invisible)
Placement: Choose "Candle High/Low" or "Current Price" positioning
💡 Pro Tip:
Use the "Current Price" placement mode when trading on multiple timeframes to keep the countdown at a consistent price level, making it easier to track across different chart configurations.
Apex-Wallet - Risk & Reward Calc (Futures/Prop-Firm)Overview The Apex Risk & Reward Calc is a specialized utility tool designed for Futures traders, particularly those working with Prop Firms (Apex, MyFundedFutures, etc.). It eliminates the need for manual calculations by providing an instant, clear visualization of your Risk/Reward parameters directly on the chart.
How it works Trading Futures (ES, NQ, MES, MNQ) requires knowing exactly how many ticks correspond to your financial target. This script automatically detects the active instrument and calculates the precise number of ticks needed for both your Take Profit (TP) and Stop Loss (SL) based on your desired cash outcome and chosen ratio.
Key Features:
Automatic Ticker Recognition: Supports ES, NQ, MES, and MNQ with built-in tick values.
Cash-Based Planning: Enter your desired profit in dollars (e.g., $50), and the script tells you the required tick move.
Dynamic Ratio Selection: Choose from 9 different R:R ratios (from 1/5 to 5/1) to instantly see the impact on your Stop Loss.
Compact Professional UI: A clean, 3-column dashboard at the bottom-right of your screen showing active lots, ticks, and gross cash values.
Trading Application Perfect for intraday scalpers who need to set their ATM strategies in platforms like Tradovate or NinjaTrader. It ensures your execution remains consistent with your risk management plan.
EMA 5/9 Ribbon + VWAP + Trend Filters **Description:**
This indicator combines EMA ribbon analysis with VWAP and volume-based trend filters to help traders identify high-probability entries. It is designed for clarity, providing visual signals, trend bias, and key market metrics directly on the chart.
**Key Features:**
* EMA Ribbon (5 & 9) that changes color based on trend and VWAP cross.
* Buy/Sell signals with optional “strong” signals when trend and volume confirm.
* VWAP crossover arrows (yellow) highlight stronger trends.
* Sideways detection filter to reduce signals during choppy markets.
* Adjustable ribbon and sideways background colors via settings.
* Live trend table showing:
* Current trend bias (Bullish/Bearish/Sideways)
* Bullish vs Bearish volume percentage
* ATR for volatility insight
* Optional background highlight for sideways zones.
**User Inputs:**
* EMA lengths, ATR length, volume lookback
* Sideways detection toggle and sensitivity
* Table placement options (top-right, top-center, bottom-right, bottom-center)
* Customizable colors for bullish, bearish, VWAP, and sideways zones
**Benefits:**
* Quickly visualize trend direction and momentum.
* Avoid signals during sideways or low-volatility periods.
* Makes chart analysis faster and more intuitive.
* Fully customizable to match personal trading style.
**Recommended Use:**
Best used on intraday or swing charts to confirm trend and momentum. Combine with other analysis tools (support/resistance, candlestick patterns, or additional indicators) for higher confidence trades.
jaems_Combo: StochRSI + MACD + ADX [QuantDev]//@version=6
strategy("jaems_Combo: StochRSI + MACD + ADX ", overlay=false, initial_capital=10000, currency=currency.USD, commission_type=strategy.commission.percent, commission_value=0.05, slippage=1)
// ==========================================
// 1. 사용자 입력 (User Inputs)
// ==========================================
//
grp_time = "Backtest Period"
useDateFilter = input.bool(true, "기간 필터 적용", group=grp_time)
startDate = input.time(timestamp("2023-01-01 00:00"), "시작일", group=grp_time)
endDate = input.time(timestamp("2099-12-31 23:59"), "종료일", group=grp_time)
inDateRange = not useDateFilter or (time >= startDate and time <= endDate)
//
grp_stoch = "1. Stochastic RSI Settings"
stoch_len = input.int(14, "RSI Length", group=grp_stoch)
stoch_k = input.int(3, "K", group=grp_stoch)
stoch_d = input.int(3, "D", group=grp_stoch)
rsi_len = input.int(14, "Stochastic Length", group=grp_stoch)
//
grp_macd = "2. MACD Settings (Normalized)"
macd_fast = input.int(12, "Fast Length", group=grp_macd)
macd_slow = input.int(26, "Slow Length", group=grp_macd)
macd_sig = input.int(9, "Signal Length", group=grp_macd)
macd_norm_len = input.int(100, "Normalization Lookback", group=grp_macd)
//
grp_adx = "3. ADX Settings"
adx_len = input.int(14, "ADX Smoothing", group=grp_adx)
di_len = input.int(14, "DI Length", group=grp_adx)
adx_thresh = input.int(25, "ADX Threshold", group=grp_adx)
//
grp_risk = "4. Risk Management"
stopLossPct = input.float(2.0, "손절매 (Stop Loss %)", step=0.1, group=grp_risk) / 100
takeProfitPct = input.float(4.0, "익절매 (Take Profit %)", step=0.1, group=grp_risk) / 100
// - 신규 추가 (Alert Configuration)
grp_alert = "5. Alert Configuration"
msg_long_entry = input.string("Long Entry Triggered", "Long 진입 메시지", group=grp_alert)
msg_short_entry = input.string("Short Entry Triggered", "Short 진입 메시지", group=grp_alert)
msg_long_exit = input.string("Long Position Closed", "Long 청산 메시지", group=grp_alert)
msg_short_exit = input.string("Short Position Closed", "Short 청산 메시지", group=grp_alert)
// ==========================================
// 2. 데이터 처리 및 지표 계산
// ==========================================
// Stoch RSI
rsi_val = ta.rsi(close, rsi_len)
k = ta.sma(ta.stoch(rsi_val, rsi_val, rsi_val, stoch_len), stoch_k)
d = ta.sma(k, stoch_d)
// ADX
= ta.dmi(di_len, adx_len)
// Normalized MACD (0~100 Scale)
= ta.macd(close, macd_fast, macd_slow, macd_sig)
highest_macd = ta.highest(macd_line, macd_norm_len)
lowest_macd = ta.lowest(macd_line, macd_norm_len)
// 분모가 0이 되는 예외 처리
denom = (highest_macd - lowest_macd)
norm_macd = denom != 0 ? (macd_line - lowest_macd) / denom * 100 : 50
norm_signal = denom != 0 ? (macd_signal - lowest_macd) / denom * 100 : 50
// ==========================================
// 3. 시각화 (Dark Mode Optimized Colors)
// ==========================================
color gridColor = color.new(#787B86, 50)
hline(0, "Bottom", color=gridColor)
hline(50, "Middle", color=gridColor, linestyle=hline.style_dotted)
hline(100, "Top", color=gridColor)
plot(k, "Stoch K", color=color.new(#00E5FF, 0), linewidth=1) // Neon Cyan
plot(d, "Stoch D", color=color.new(#EA00FF, 0), linewidth=1) // Neon Magenta
plot(adx, "ADX", color=color.new(#FFEB3B, 0), linewidth=2)
hline(adx_thresh, "ADX Threshold", color=color.new(#FFEB3B, 50), linestyle=hline.style_dashed)
plot(norm_macd, "Norm MACD", color=color.new(#76FF03, 60), style=plot.style_area)
plot(norm_signal, "Norm Signal", color=color.new(#FF1744, 20), linewidth=1)
// ==========================================
// 4. 전략 로직 (Strategy Logic) - 요청하신 내용으로 전면 수정
// ==========================================
// 조건: K가 D보다 크고(AND) K가 Norm Signal보다 큰 상태
bool is_bullish = (k > d) and (k > norm_signal)
// 조건: K가 D보다 작고(AND) K가 Norm Signal보다 작은 상태
bool is_bearish = (k < d) and (k < norm_signal)
// 진입 신호: "이전 봉에는 아니었는데, 지금 봉에서 두 조건을 동시에 만족했을 때" (돌파 순간)
longCondition = is_bullish and not is_bullish
shortCondition = is_bearish and not is_bearish
// 주문 실행 (Confirmed Bar Only) + Alert Message 연결
if inDateRange and barstate.isconfirmed
if longCondition
strategy.entry("Long", strategy.long, alert_message=msg_long_entry)
if shortCondition
strategy.entry("Short", strategy.short, alert_message=msg_short_entry)
// ==========================================
// 5. 청산 및 신호 강조 (Alert Message 추가)
// ==========================================
if strategy.position_size > 0
strategy.exit("Long Exit", "Long", stop=strategy.position_avg_price * (1 - stopLossPct), limit=strategy.position_avg_price * (1 + takeProfitPct), alert_message=msg_long_exit)
if strategy.position_size < 0
strategy.exit("Short Exit", "Short", stop=strategy.position_avg_price * (1 + stopLossPct), limit=strategy.position_avg_price * (1 - takeProfitPct), alert_message=msg_short_exit)
// 배경 신호
bgcolor(longCondition ? color.new(#76FF03, 90) : na, title="Long Signal BG")
bgcolor(shortCondition ? color.new(#FF1744, 90) : na, title="Short Signal BG")
jaems_Double BB[Alert]/W-Bottom/Dashboard// This Pine Script® code is subject to the terms of the Mozilla Public License 2.0 at mozilla.org
// © Kingjmaes
//@version=6
strategy("jaems_Double BB /W-Bottom/Dashboard", shorttitle="jaems_Double BB /W-Bottom/Dashboard", overlay=true, commission_type=strategy.commission.percent, commission_value=0.05, slippage=1, process_orders_on_close=true)
// ==========================================
// 1. 사용자 입력 (Inputs)
// ==========================================
group_date = "📅 백테스트 기간 설정"
startTime = input.time(timestamp("2024-01-01 00:00"), "시작일", group=group_date)
endTime = input.time(timestamp("2099-12-31 23:59"), "종료일", group=group_date)
group_bb = "📊 더블 볼린저 밴드 설정"
bb_len = input.int(20, "길이 (Length)", minval=5, group=group_bb)
bb_mult_inner = input.float(1.0, "내부 밴드 승수 (Inner A)", step=0.1, group=group_bb)
bb_mult_outer = input.float(2.0, "외부 밴드 승수 (Outer B)", step=0.1, group=group_bb)
group_w = "📉 W 바닥 패턴 설정"
pivot_left = input.int(3, "피벗 좌측 봉 수", minval=1, group=group_w)
pivot_right = input.int(1, "피벗 우측 봉 수", minval=1, group=group_w)
group_dash = "🖥️ 대시보드 설정"
show_dash = input.bool(true, "대시보드 표시", group=group_dash)
comp_sym = input.symbol("NASDAQ:NDX", "비교 지수 (GS Trend)", group=group_dash, tooltip="S&P500은 'SP:SPX', 비트코인은 'BINANCE:BTCUSDT' 등을 입력하세요.")
rsi_len = input.int(14, "RSI 길이", group=group_dash)
group_risk = "🛡 리스크 관리"
use_sl_tp = input.bool(true, "손절/익절 사용", group=group_risk)
sl_pct = input.float(2.0, "손절매 (%)", step=0.1, group=group_risk) / 100
tp_pct = input.float(4.0, "익절매 (%)", step=0.1, group=group_risk) / 100
// ==========================================
// 2. 데이터 처리 및 계산 (Calculations)
// ==========================================
// 기간 필터
inDateRange = time >= startTime and time <= endTime
// 더블 볼린저 밴드
basis = ta.sma(close, bb_len)
dev_inner = ta.stdev(close, bb_len) * bb_mult_inner
dev_outer = ta.stdev(close, bb_len) * bb_mult_outer
upper_A = basis + dev_inner
lower_A = basis - dev_inner
upper_B = basis + dev_outer
lower_B = basis - dev_outer
percent_b = (close - lower_B) / (upper_B - lower_B)
// W 바닥형 (W-Bottom) - 리페인팅 방지
pl = ta.pivotlow(low, pivot_left, pivot_right)
var float p1_price = na
var float p1_pb = na
var float p2_price = na
var float p2_pb = na
var bool is_w_setup = false
if not na(pl)
p1_price := p2_price
p1_pb := p2_pb
p2_price := low
p2_pb := percent_b
// 패턴 감지
bool cond_w = (p1_price < lower_B ) and (p2_price > p1_price) and (p2_pb > p1_pb)
is_w_setup := cond_w ? true : false
w_bottom_signal = is_w_setup and close > open and close > lower_A
if w_bottom_signal
is_w_setup := false
// GS 트렌드 (나스닥 상대 강도)
ndx_close = request.security(comp_sym, timeframe.period, close)
rs_ratio = close / ndx_close
rs_sma = ta.sma(rs_ratio, 20)
gs_trend_bull = rs_ratio > rs_sma
// RSI & MACD
rsi_val = ta.rsi(close, rsi_len)
= ta.macd(close, 12, 26, 9)
macd_bull = macd_line > signal_line
// ==========================================
// 3. 전략 로직 (Strategy Logic)
// ==========================================
long_cond = (ta.crossover(close, lower_A) or ta.crossover(close, basis) or w_bottom_signal) and inDateRange and barstate.isconfirmed
short_cond = (ta.crossunder(close, upper_B) or ta.crossunder(close, upper_A) or ta.crossunder(close, basis)) and inDateRange and barstate.isconfirmed
// 진입 실행 및 알람 발송
if long_cond
strategy.entry("Long", strategy.long, comment="Entry Long")
alert("Long Entry Triggered | Price: " + str.tostring(close), alert.freq_once_per_bar_close)
if short_cond
strategy.entry("Short", strategy.short, comment="Entry Short")
alert("Short Entry Triggered | Price: " + str.tostring(close), alert.freq_once_per_bar_close)
// 청산 실행
if use_sl_tp
if strategy.position_size > 0
strategy.exit("Exit Long", "Long", stop=strategy.position_avg_price * (1 - sl_pct), limit=strategy.position_avg_price * (1 + tp_pct), comment_loss="L-SL", comment_profit="L-TP")
if strategy.position_size < 0
strategy.exit("Exit Short", "Short", stop=strategy.position_avg_price * (1 + sl_pct), limit=strategy.position_avg_price * (1 - tp_pct), comment_loss="S-SL", comment_profit="S-TP")
// 별도 알람: W 패턴 감지 시
if w_bottom_signal
alert("W-Bottom Pattern Detected!", alert.freq_once_per_bar_close)
// ==========================================
// 4. 대시보드 시각화 (Dashboard Visualization)
// ==========================================
c_bg_head = color.new(color.black, 20)
c_bg_cell = color.new(color.black, 40)
c_text = color.white
c_bull = color.new(#00E676, 0)
c_bear = color.new(#FF5252, 0)
c_neu = color.new(color.gray, 30)
get_trend_color(is_bull) => is_bull ? c_bull : c_bear
get_pos_text() => strategy.position_size > 0 ? "LONG 🟢" : strategy.position_size < 0 ? "SHORT 🔴" : "FLAT ⚪"
get_pos_color() => strategy.position_size > 0 ? c_bull : strategy.position_size < 0 ? c_bear : c_neu
var table dash = table.new(position.top_right, 2, 7, border_width=1, border_color=color.gray, frame_color=color.gray, frame_width=1)
if show_dash and (barstate.islast or barstate.islastconfirmedhistory)
table.cell(dash, 0, 0, "METRIC", bgcolor=c_bg_head, text_color=c_text, text_size=size.small)
table.cell(dash, 1, 0, "STATUS", bgcolor=c_bg_head, text_color=c_text, text_size=size.small)
table.cell(dash, 0, 1, "GS Trend", bgcolor=c_bg_cell, text_color=c_text, text_halign=text.align_left, text_size=size.small)
table.cell(dash, 1, 1, gs_trend_bull ? "Bullish" : "Bearish", bgcolor=c_bg_cell, text_color=get_trend_color(gs_trend_bull), text_size=size.small)
rsi_col = rsi_val > 70 ? c_bear : rsi_val < 30 ? c_bull : c_neu
table.cell(dash, 0, 2, "RSI (14)", bgcolor=c_bg_cell, text_color=c_text, text_halign=text.align_left, text_size=size.small)
table.cell(dash, 1, 2, str.tostring(rsi_val, "#.##"), bgcolor=c_bg_cell, text_color=rsi_col, text_size=size.small)
table.cell(dash, 0, 3, "MACD", bgcolor=c_bg_cell, text_color=c_text, text_halign=text.align_left, text_size=size.small)
table.cell(dash, 1, 3, macd_bull ? "Bullish" : "Bearish", bgcolor=c_bg_cell, text_color=get_trend_color(macd_bull), text_size=size.small)
w_status = w_bottom_signal ? "DETECTED!" : is_w_setup ? "Setup Ready" : "Waiting"
w_col = w_bottom_signal ? c_bull : is_w_setup ? color.yellow : c_neu
table.cell(dash, 0, 4, "W-Bottoms", bgcolor=c_bg_cell, text_color=c_text, text_halign=text.align_left, text_size=size.small)
table.cell(dash, 1, 4, w_status, bgcolor=c_bg_cell, text_color=w_col, text_size=size.small)
table.cell(dash, 0, 5, "Position", bgcolor=c_bg_cell, text_color=c_text, text_halign=text.align_left, text_size=size.small)
table.cell(dash, 1, 5, get_pos_text(), bgcolor=c_bg_cell, text_color=get_pos_color(), text_size=size.small)
last_sig = long_cond ? "BUY SIGNAL" : short_cond ? "SELL SIGNAL" : "HOLD"
last_col = long_cond ? c_bull : short_cond ? c_bear : c_neu
table.cell(dash, 0, 6, "Signal", bgcolor=c_bg_cell, text_color=c_text, text_halign=text.align_left, text_size=size.small)
table.cell(dash, 1, 6, last_sig, bgcolor=c_bg_cell, text_color=last_col, text_size=size.small)
// ==========================================
// 5. 시각화 (Visualization)
// ==========================================
p_upper_B = plot(upper_B, "Upper B", color=color.new(color.red, 50))
p_upper_A = plot(upper_A, "Upper A", color=color.new(color.red, 0))
p_basis = plot(basis, "Basis", color=color.gray)
p_lower_A = plot(lower_A, "Lower A", color=color.new(color.green, 0))
p_lower_B = plot(lower_B, "Lower B", color=color.new(color.green, 50))
fill(p_upper_B, p_upper_A, color=color.new(color.red, 90))
fill(p_lower_A, p_lower_B, color=color.new(color.green, 90))
plotshape(long_cond, title="Long", style=shape.triangleup, location=location.belowbar, color=color.green, size=size.small)
plotshape(short_cond, title="Short", style=shape.triangledown, location=location.abovebar, color=color.red, size=size.small)
Intraday Session Ranges (Asian-London-NY) - JonathanJD86This script is a technical utility designed to automatically track and visualize the high and low price levels of the three major trading sessions (Asian, London, and New York).
How it works: The script uses the time() function with the America/New_York timezone anchor to ensure accuracy regardless of the user's local time. It tracks the maximum and minimum price values during specific user-defined intervals.
Key Methodology:
Vertical Tick Offset: Unlike standard session boxes, this tool allows users to set a vertical gap (in ticks) so that the labels do not overlap the candle wicks, providing a clearer view of the actual price action.
Session Intervals: Defaulted to high-activity windows: Asian (20:00-00:00), London (02:00-05:00), and New York (08:30-16:00).
Dynamic Visibility: The script includes a logical check to automatically hide levels on timeframes higher than 1H, preventing chart clutter during macro analysis.






















