Indikator dan strategi
Big Trades [Volume Anomalies] (Enhanced)The script is a **volume-anomaly “big trades” detector** for futures that tries to (1) split each candle’s volume into a **buy-pressure** and **sell-pressure** estimate, (2) flag **statistically extreme** candles (tiers), and (3) optionally label those extremes as **initiative (follow-through)** vs **absorbed (no follow-through)** using a forward-style confirmation window.
Here’s what it does, piece by piece.
---
## 1) What it’s trying to detect
It’s not true “whale prints” or real bid/ask delta. It detects:
* **unusually large participation** (volume anomaly)
* with a **directional guess** (buy-ish vs sell-ish)
* and then checks whether price **continued** after that anomaly
So it’s: **“big participation + did it work?”**
---
## 2) The “buy vs sell volume” estimate
For each candle, it builds a **weight** for buy and sell pressure:
* **close location within the candle**
* close near high → more buy weight
* close near low → more sell weight
* **body direction (close–open)**
* bullish body adds buy boost
* bearish body adds sell boost
Then it computes:
* `raw_buy = volume * buy_weight`
* `raw_sell = volume * sell_weight`
This is an **OHLC-based proxy** for pressure, not real aggressor volume.
---
## 3) Normalization (makes it behave across sessions)
If enabled, it divides by ATR:
* `norm_buy = raw_buy / ATR`
* `norm_sell = raw_sell / ATR`
This helps a lot on futures because volume/volatility regimes differ between Asia/London/NY.
---
## 4) Statistical anomaly detection (z-score logic)
It calculates “what’s normal” using the last `lookback` bars, but **uses ` `** so the current bar doesn’t contaminate the stats (reduces flicker):
* `avg_buy = sma(norm_buy, lookback) `
* `std_buy = stdev(norm_buy, lookback) `
(and same for sell)
Then it computes **z-scores**:
* `z_buy = (norm_buy - avg_buy) / std_buy`
* `z_sell = (norm_sell - avg_sell) / std_sell`
If z-score crosses thresholds, it triggers tiers:
* Tier 1: `sigma`
* Tier 2: `sigma + tier_step1`
* Tier 3: `sigma + tier_step2`
So **Tier 3 = “big bubble”**.
---
## 5) Optional VWAP bias filter
It computes VWAP correctly as:
* `vwapv = ta.vwap(hlc3)`
If enabled:
* buys only when `close >= vwap`
* sells only when `close <= vwap`
This is just a **trend/bias filter** to reduce counter-trend bubbles.
---
## 6) Plotting (how bubbles appear)
It places markers at:
* buys around `(close+low)/2` (lower-ish)
* sells around `(close+high)/2` (upper-ish)
And draws:
* small/medium/large circles (depending on tier)
* with optional INIT/ABS overlays (explained next)
---
## 7) “Initiative vs Absorbed” classification (the smart part)
Because Pine can’t see the future on the same bar, your script does a **delayed evaluation**:
* It waits `N = confirm_bars`
* Looks at what happened from the signal bar to the current bar
* Decides if price moved far enough in the intended direction
It uses:
* `hh_window = highest(high, N+1)`
* `ll_window = lowest(low, N+1)`
(these cover the last N+1 bars: from signal bar to now)
Then it measures follow-through:
* For a buy signal N bars ago:
`buy_move = hh_window - high `
* For a sell signal N bars ago:
`sell_move = low - ll_window`
It compares to an ATR-based threshold anchored to the signal bar:
* `thr_move_sig = ATR * move_mult_atr`
If move > threshold → **INIT**
Else → **ABS**
Then it **plots back onto the original signal bar** using `offset=-N` so it visually marks the candle that caused it.
To make it obvious:
* **INIT** = circle
* **ABS** = X
This part is “accurate” in the sense that it’s purely **price-outcome based**.
---
## 8) Labels (optional)
If enabled, it prints labels on those large signals with:
* INIT/ABS
* the z-score at the signal bar
* and a “delta proxy” (`norm_buy - norm_sell`), not true delta
---
## In one sentence
The script flags **statistically extreme volume-pressure candles** (buy/sell proxy), and then classifies those extremes as **worked (initiative)** or **failed (absorbed)** based on **subsequent price movement** within `confirm_bars`.
Multi-Timeframe RSI (Daily + Weekly)View the Daily and Weekly RSI together so you see how the oscillate on any timeframe
Evidenzia Data Specifica DinamicaSpecific Date Highlighter
Descrizione (Italiano)
Questo indicatore semplice ma estremamente efficace permette di evidenziare graficamente un'intera giornata specifica selezionata dall'utente. È lo strumento ideale per chi ha bisogno di analizzare il comportamento del prezzo durante eventi macroeconomici passati, date di earnings, o particolari sessioni storiche.
Caratteristiche principali:
Selettore Calendario Intuitivo: Grazie all'input di tipo time, puoi selezionare la data esatta tramite un calendario pop-up senza dover inserire manualmente numeri per giorno, mese e anno.
Compatibilità Multi-Timeframe: L'indicatore funziona su qualsiasi timeframe. Se sei su grafici intraday (1m, 5m, 1h), colorerà lo sfondo di tutte le candele appartenenti a quel giorno. Su grafici Daily, evidenzierà la singola candela selezionata.
Colore Personalizzabile: Puoi scegliere il colore dello sfondo e la sua opacità direttamente dalle impostazioni per adattarlo al tuo tema (Light o Dark).
Data Dinamica: Lo script è progettato per riconoscere automaticamente la data odierna come punto di partenza, facilitando l'analisi rapida dell'ultima sessione.
Casi d'uso:
Backtesting visivo: Evidenzia i giorni di rilascio dei dati CPI o decisioni FOMC per studiare la volatilità.
Journaling: Segna i giorni in cui hai effettuato trade importanti per ritrovarli facilmente nello storico.
Analisi Ciclica: Identifica rapidamente date specifiche in cui si sono verificati minimi o massimi storici.
Description (English)
This lightweight and effective tool allows you to highlight a specific full day on your chart. It is perfect for traders who need to visually isolate price action during macroeconomic events, earnings dates, or key historical sessions.
Key Features:
Calendar Picker: Easily select your target date using a built-in calendar input.
MTF Ready: Works seamlessly across all timeframes. On intraday charts, it highlights every bar within the 24-hour period. On daily charts, it highlights the specific daily candle.
Fully Customizable: Change the background color and transparency to match your chart layout.
Smart Default: The script is optimized to handle time logic correctly, ensuring the highlight starts exactly at 00:00 and ends at 23:59.
How to use: Go to settings, click on "Select Date", pick your day from the calendar, and the chart will instantly move the focus to that specific session.
Dual RSI Spread Strategy [Custom]
概述
这是一个综合性的动量交易工具，结合了双重 RSI 交叉系统与经典 RSI 背离检测功能。该指标旨在通过分析短期与长期动量的“剪刀差”来识别潜在的超买/超卖区域，并辅以顶底背离信号作为反转确认。
核心功能与逻辑
1. 双重 RSI 差值信号 (Dual RSI Spread) 该策略同时计算两条 RSI 曲线：
短周期 RSI (默认 13)：对价格变化反应灵敏。
长周期 RSI (默认 42)：代表长期趋势基准。
交易信号基于两条 RSI 的差值 (Spread) 生成，逻辑如下：
🟢 买入信号 (Buy)：当 长周期 RSI - 短周期 RSI > 20。这意味着短期动量严重低于长期基准，市场可能处于深度超卖状态，存在均值回归需求。
🔴 卖出信号 (Sell)：当 短周期 RSI - 长周期 RSI > 20。这意味着短期动量冲高过快，远超长期基准，市场可能过热。
2. RSI 顶底背离 (Divergence) 指标内置了经典的背离检测算法（可选择开启/关闭），应用于短周期 RSI：
Bullish Divergence (看涨背离)：价格创新低，但 RSI 底部抬高。
Bearish Divergence (看跌背离)：价格创新高，但 RSI 顶部降低。 (注意：背离功能默认关闭，请在设置中勾选 "Calculate Divergence" 开启)
3. 高度自定义
支持自定义 RSI 长度、平滑类型 (SMA/EMA) 及平滑长度。
支持自定义差值阈值（默认 20）。
完整的告警支持：可分别为差值信号和背离信号设置 TradingView 告警。
如何使用 建议将“差值信号”作为预警，结合“背离信号”作为确认。当出现“买入”标签且随后出现 Bullish 背离时，胜率通常更高。
Overview
This is a comprehensive momentum trading tool that combines a Dual RSI Cross System with Classic RSI Divergence Detection. It is designed to identify potential overbought/oversold conditions by analyzing the "spread" between short-term and long-term momentum, reinforced by divergence signals for reversal confirmation.
Key Features & Logic
1. Dual RSI Spread Signals The script calculates two RSI lines simultaneously:
Short RSI (Default 13): Sensitive to immediate price changes.
Long RSI (Default 42): Represents the longer-term baseline.
Trading signals are generated based on the Spread (Difference) between these two lines:
🟢 BUY Signal: Triggers when Long RSI - Short RSI > 20. This implies short-term momentum is significantly below the long-term baseline, suggesting a deep oversold condition and potential mean reversion.
🔴 SELL Signal: Triggers when Short RSI - Long RSI > 20. This implies short-term momentum has spiked too far above the baseline, suggesting an overheated market.
2. RSI Divergence The indicator includes a built-in divergence detection algorithm (optional) applied to the Short RSI:
Bullish Divergence: Price makes a lower low, but RSI makes a higher low.
Bearish Divergence: Price makes a higher high, but RSI makes a lower high. (Note: Divergence is disabled by default. Please check "Calculate Divergence" in the settings to enable).
3. Fully Customizable
Configurable RSI lengths, Smoothing types (SMA/EMA), and Smoothing lengths.
Adjustable Spread Threshold (Default is 20).
Full Alert Support: Set alerts specifically for Spread Signals or Divergence detections.
How to Use It is recommended to use the "Spread Signals" as an early warning system and the "Divergence Signals" as confirmation. A setup where a "BUY" spread label is followed by a Bullish Divergence line often presents a higher probability trade.
Toby Crabel's HisVolAs in Linda Raschke's Street smarts..... . This indicator shows the signals of Toby Crabel's Historical Volatility 6/100 strategy. The strategy assumes, that volatility contraction measured by two measures would give better results.
There is one other script that is a strategy , but it assumes that the signal requires both inside bar and narrowest range, what is not as in Linda Raschke's.
The strategy and what does the script do:
1) measures short-term unannualized volatility (by default six), long term uannualized volatility (by default 100), and measures the ratio of short volatility / long volatility.
2) checks if the current bar is an inside bar or has narrowest range out of last X bar (by default 4), or both,
3) puts an etiquette if short volatility / long volatility is equal to or smaller than 0,5 AND the day is inside bar, has narrowest range, or both.
Next day both buy-stop and sell-stop should be set. Buy-stop at the high and sell-stop at the low of the bar with etiquette.
This is by no means any financial advice, nor the historical results guarantee future gain.
KCP MACD Pro [Dr. K. C. Prakash]📊 KCP MACD Pro
KCP MACD Pro is a clean, low-noise momentum indicator designed for clear trend and momentum analysis without clutter. Unlike the classical MACD, this version is built without EMA, using Simple Moving Averages (SMA) to provide smoother, more stable signals, making it ideal for training, classroom use, and disciplined trading.
🔹 Core Concept
The indicator measures momentum strength and direction by calculating the difference between:
a Fast SMA and a Slow SMA (MACD line), and
a Signal SMA applied to the MACD line.
The result is a MACD-style oscillator that reacts less aggressively than EMA-based MACD, helping traders focus on structure and trend quality rather than short-term noise.
🔹 Components Explained
MACD Line (SMA-based):
Shows the underlying momentum by comparing short-term and long-term price averages.
Signal Line (SMA):
Smooths the MACD line to highlight momentum shifts.
Histogram:
Displays the distance between the MACD and Signal lines, visually representing momentum strength.
Zero Line:
Acts as a trend equilibrium level:
Above zero → bullish momentum bias
Below zero → bearish momentum bias
🔹 How to Use
Trend Identification:
Stay aligned with the market bias using the zero line.
Momentum Analysis:
Expanding histogram bars indicate strengthening momentum; contracting bars suggest weakening momentum.
Manual Trade Decisions:
Designed intentionally without buy/sell arrows, encouraging traders to combine it with price action, support–resistance, or market structure.
VWMA Cross Buy SignalCore Components & Logic
1. The Entry Engine (VWMA + Filters)
The strategy triggers a long signal when a Volume Weighted Moving Average (VWMA) crossover occurs.
Unlike a standard Simple Moving Average, the VWMA gives more weight to bars with higher volume. This ensures the indicator responds faster to "Smart Money" moves and slower to low-volume noise.
It uses a secondary Trend Filter (defaulting to the 200 EMA). By only buying when the price is above this line, the indicator forces you to stay on the right side of the primary market trend.
It requires volume to be higher than its recent average (e.g., 1.1× or 10% higher). This prevents entries on weak, low-conviction price moves.
2. The Dynamic Exit System
You have two distinct ways to manage your risk and targets, toggleable in the settings:
ATR Based (Volatility Adjusted): It calculates the Average True Range (ATR) to determine how volatile the stock is. By setting your Stop Loss at 2.0×ATR, you avoid getting "shaken out" by normal daily price fluctuations. The Take Profit is set at 4.4×ATR to capture large trend extensions.
Fixed % (Static): A more rigid approach where you set a hard percentage target (e.g., 10% gain / 5% loss).
3. The Performance Analytics Table
The grey minimalist table in the bottom-right corner uses cumulative percentage-based math to show:
Realized RRR: The actual Reward-to-Risk ratio based on your closed trades.
Break-Even Win Rate: The minimum win rate you need to stay profitable with your current RRR. It uses the formula:
BE WR=1+RRR1
Current Win Rate: Highlighted in Green if you are beating the Break-Even rate, or Red if the strategy is currently losing money on that specific stock.
Max Drawdown %: The most important metric for risk. It shows the largest peak-to-trough decline in your equity curve, letting you know how much losing streak can hurt your equity.
Strategic Use Case
This indicator is optimized for Stock Screening. When you flip through your watchlist, the table updates instantly.
If you see a stock with a high Win Rate and a Max Drawdown under 10%, you have found a ticker where the VWMA crossover logic is highly compatible with that stock's specific volatility. If the Win Rate cell is Red, you know the strategy is "un-tuned" for that asset and needs adjustment.
MACD Colored CandlesMACD Histogram Candle Colors
Overview
This indicator visualizes MACD momentum directly on your candlesticks by coloring them according to the MACD histogram's state. Instead of looking at a separate MACD panel, you can instantly see momentum changes right on your price chart.
How It Works
The indicator calculates the standard MACD (Moving Average Convergence Divergence) and applies the histogram's color logic directly to your candles:
🟢 **Teal (#26a69a)** - Bullish momentum increasing (histogram positive and rising)
🟢 **Light Teal (#b2dfdb)** - Bullish momentum weakening (histogram positive but falling)
🔴 **Light Red (#ffcdd2)** - Bearish momentum weakening (histogram negative but rising)
🔴 **Red (#ff5252)** - Bearish momentum increasing (histogram negative and falling)
Features
- **Pure MACD Logic**: Uses exact MACD histogram color calculations
- **Clean Chart**: No additional plots or tables cluttering your view
- **Customizable Inputs**: Adjust Fast length (default 12), Slow length (default 26), and Signal length (default 9)
- **MA Type Selection**: Choose between EMA or SMA for both oscillator and signal calculations
- **Overlay Display**: Works seamlessly with other indicators
Settings
- **Source**: Price source for MACD calculation (default: close)
- **Fast Length**: Period for fast moving average (default: 12)
- **Slow Length**: Period for slow moving average (default: 26)
- **Signal Length**: Period for signal line (default: 9)
- **Oscillator MA Type**: EMA or SMA
- **Signal MA Type**: EMA or SMA
Best Use Cases
- Quick momentum identification without switching between panels
- Combining with support/resistance levels for trade entries
- Identifying divergences between price action and momentum
- Multi-timeframe analysis with color-coded momentum
Tips
- Use in combination with traditional MACD for confirmation
- Color changes often precede significant price movements
- Works on all timeframes and instruments
- Consider pairing with volume indicators for stronger signals
Credits
Based on the standard MACD indicator with histogram color visualization applied to candlesticks.
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*This is an open-source script. Feel free to use, modify, and share!*
Strategy EMA trend & MACD 5m-15mStrategy using multiple EMAs as a trend & MACD as a signal, using 5m and 15m timeframe, 5m is a main timeframe.
Time period relation testerWith this script you can define a time period (default Comex) and compare its relation to a following time period (default Prime NY session) and lookback and get a statistic on how often the trend reverses from the first to the second time period.
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.
RSI Divergence Overlay with BGRSI Divergence Overlay with Bullish (Green) and Bearish (Red) notations
Liquidity Trap Strategy - ATR OptimizedLiquidity Trap Strategy – Optimized Version
1. Overview
The Liquidity Trap Strategy is a high-probability price action trading system designed to exploit “trapped buyers or sellers” around key levels from the previous trading day.
Markets: Works on any market (Forex, Crypto, Futures, Indices, Stocks)
Timeframes: Designed for 15-minute (15m) and 1-hour (1H) charts
Trading Style: “Hunter” style — trades may not happen every day, but setups are high-probability
Trade Frequency: Only first trade per day is taken for simplicity and high quality
2. Key Components
a) Daily Levels
Previous Day High (PDH) and Previous Day Low (PDL) are automatically calculated using the prior day’s bar.
These are drawn as anchored horizontal lines, extending to the current day.
PDH/PDL act as key support/resistance zones — areas where liquidity is often trapped.
b) Trap Concept
The strategy is based on the “liquidity trap” principle:
Buyer Trap (Short Entry):
Price breaks above the previous day high (PDH) → buyers think price will continue higher.
Price reverses immediately below PDH, trapping aggressive buyers above the key level.
This creates selling pressure, giving an opportunity to enter short.
Seller Trap (Long Entry):
Price breaks below the previous day low (PDL) → sellers think price will continue lower.
Price reverses immediately above PDL, trapping aggressive sellers below the key level.
This creates buying pressure, giving an opportunity to enter long.
The key idea: trapped traders cause the market to move in the opposite direction of the breakout, creating high-probability moves.
c) Trade Execution Logic
Buyer Trap / Short Entry:
Condition: high > PDH AND close < PDH AND no trade taken yet today
Entry: Short at the close of the trap candle
Stop Loss: ATR-based above the trap candle high to avoid minor wick stops
Take Profit: 2:1 Risk-to-Reward ratio
Seller Trap / Long Entry:
Condition: low < PDL AND close > PDL AND no trade taken yet today
Entry: Long at the close of the trap candle
Stop Loss: ATR-based below the trap candle low
Take Profit: 2:1 Risk-to-Reward ratio
Only the first trap trade of the day is allowed to avoid overtrading.
d) Risk Management
Stop-Loss (SL):
ATR-based to account for market volatility
Ensures the trade survives minor wick sweeps without being stopped out prematurely
Take-Profit (TP):
Fixed 2:1 R:R relative to SL
Ensures each winning trade outweighs potential losses
Trade Frequency:
Only first trade per day is allowed, making it highly selective and reducing noise
3. Visual Features
PDH/PDL Lines: Anchored to previous day, extend into current day, color-coded:
PDH → Green
PDL → Red
Trade Labels: Placed on the trap candle:
Short → Red label “Short”
Long → Green label “Long”
The visual markers make it easy to identify exactly where the trap occurred and the trade was triggered.
4. How the Strategy Works – Step by Step
Example for Short (Buyer Trap):
Market opens, PDH/PDL from yesterday are drawn.
Price spikes above PDH → some buyers enter expecting breakout continuation.
Price immediately closes back below PDH, trapping buyers.
The strategy enters short at the close of the reversal candle.
SL: placed above the trap candle using ATR to give room
TP: calculated as 2x the risk (distance from entry to SL)
Trade executes — first trade of the day. Any further trap signals today are ignored.
Example for Long (Seller Trap):
Price drops below PDL → some sellers enter.
Price immediately closes back above PDL, trapping sellers.
Strategy enters long at the close of the reversal candle.
SL: below trap candle using ATR
TP: 2:1 R:R
Trade executes — only first trade of the day.
5. Why This Strategy Works
Exploits liquidity zones: Markets often hunt stops above PDH or below PDL.
High-probability reversals: Trapped traders create strong counter moves.
ATR SL: avoids being stopped by minor market noise or wick spikes.
Selective trading: Only first trade per day → reduces overtrading and noise.
Clear visual markers: Makes manual observation and confirmation easy.
6. Key Tips for Traders
Best on high-volume instruments like Forex majors, indices, or crypto pairs with decent liquidity.
Works well on 15m and 1H charts — 15m allows quicker signals, 1H filters noise.
Avoid trading around major news releases — traps can behave differently during high volatility events.
Always backtest and use the ATR SL — never reduce SL too much, otherwise stops will trigger before the real move.
✅ Summary:
The Liquidity Trap Strategy identifies trapped buyers/sellers using previous day highs/lows.
It uses ATR-adapted stops and 2:1 R:R TP.
Only first trade per day is executed, reducing false signals.
Anchored PDH/PDL lines and labels make trade opportunities clear.
This system is low-frequency, high-probability, focusing on trading smart rather than frequently.
5MA + TrendMagic + Disparity Scalping + Volume Spikes5MA + Trend Magic + Disparity Scalping + Volume Spikes
This indicator is a multi-layer scalping and intraday framework designed to combine trend context, volatility expansion, mean-reversion opportunities, and volume-based turning points into a single chart.
It is especially effective for fast markets such as GOLD (XAUUSD) and lower timeframes.
Key Components
1. 5 Moving Average Structure
EMA 9 / 20 / 50 / 100 / 200
Provides instant trend direction, compression, and dynamic support/resistance
Useful for filtering scalp signals in trend vs range conditions
2. Trend Magic (CCI + ATR Based)
Modified Trend Magic line using CCI direction and ATR trailing logic
Clearly defines bullish / bearish bias
Acts as a trend filter to avoid counter-trend scalps during strong moves
3. Ultra Fast Disparity Scalper
Detects short-term overextension from EMA9 and EMA20
Uses:
Price–EMA disparity
RSI overbought / oversold
RVI momentum prediction
Designed for quick mean-reversion scalps, not trend entries
Includes a simple overheating filter that grays out signals during extreme conditions
4. GOLD Volatility Expansion Detector
Specialized logic for explosive moves using:
ATR expansion
Bollinger Band breakouts
Historical Volatility vs Realized Volatility divergence
Generates signals only when volatility regime shifts, not during noise
Ideal for catching impulsive breakout phases
5. Volume Spike Reversal Signals
Detects abnormal volume spikes relative to volume SMA
Optional filters:
Valid swing high / low only
Hammer / Shooting Star candles
Same candle color confirmation
Session-based filtering
Designed to highlight potential exhaustion and reaction points
Signals are plotted on the previous bar for accuracy
How to Use
Use EMA structure + Trend Magic to define market context
Take Disparity Scalping signals only when price is stretched and momentum weakens
Use Volume Spikes to confirm exhaustion or reaction zones
Use GOLD volatility signals to stay with expansion moves, not fade them
This indicator is not a single-entry system, but a decision-support tool that helps align trend, momentum, volatility, and volume for high-probability intraday trading.5MA + Trend Magic + Disparity Scalping + Volume Spikes
This indicator is a multi-layer scalping and intraday framework designed to combine trend context, volatility expansion, mean-reversion opportunities, and volume-based turning points into a single chart.
It is especially effective for fast markets such as GOLD (XAUUSD) and lower timeframes.
Key Components
1. 5 Moving Average Structure
EMA 9 / 20 / 50 / 100 / 200
Provides instant trend direction, compression, and dynamic support/resistance
Useful for filtering scalp signals in trend vs range conditions
2. Trend Magic (CCI + ATR Based)
Modified Trend Magic line using CCI direction and ATR trailing logic
Clearly defines bullish / bearish bias
Acts as a trend filter to avoid counter-trend scalps during strong moves
3. Ultra Fast Disparity Scalper
Detects short-term overextension from EMA9 and EMA20
Uses:
Price–EMA disparity
RSI overbought / oversold
RVI momentum prediction
Designed for quick mean-reversion scalps, not trend entries
Includes a simple overheating filter that grays out signals during extreme conditions
4. GOLD Volatility Expansion Detector
Specialized logic for explosive moves using:
ATR expansion
Bollinger Band breakouts
Historical Volatility vs Realized Volatility divergence
Generates signals only when volatility regime shifts, not during noise
Ideal for catching impulsive breakout phases
5. Volume Spike Reversal Signals
Detects abnormal volume spikes relative to volume SMA
Optional filters:
Valid swing high / low only
Hammer / Shooting Star candles
Same candle color confirmation
Session-based filtering
Designed to highlight potential exhaustion and reaction points
Signals are plotted on the previous bar for accuracy
How to Use
Use EMA structure + Trend Magic to define market context
Take Disparity Scalping signals only when price is stretched and momentum weakens
Use Volume Spikes to confirm exhaustion or reaction zones
Use GOLD volatility signals to stay with expansion moves, not fade them
This indicator is not a single-entry system, but a decision-support tool that helps align trend, momentum, volatility, and volume for high-probability intraday trading.
Liquidity Gravity Engine [Pineify]```markdown
Liquidity Gravity Engine - Market Structure, Displacement, Liquidity Rails
Overview
Liquidity Gravity Engine is a market structure + liquidity visualization indicator designed to help you read flow , impulse , and liquidity magnets on any symbol and timeframe. Instead of relying on a single moving average, it builds a dynamic “flow ribbon” from confirmed swing structure, highlights displacement candles that create imbalance (FVG-style gaps), and projects unmitigated swing levels as liquidity rails that price often revisits.
Key Features
Liquid Flow Ribbon: a structure-based dynamic band that adapts to volatility.
Displacement Highlighting: flags momentum candles that expand beyond ATR and form an imbalance.
Liquidity Rails: extends unmitigated swing highs/lows as potential targets until swept.
Trend Context: displacement is filtered using the ribbon’s smoothed centerline.
How It Works
Market Structure (Swings) : swing highs/lows are detected using pivot logic over your “Structure Lookback”. Pivots become confirmed only after the lookback window completes, which means historical swing points can update until they are confirmed.
Flow Construction : the most recent confirmed swing high and swing low define a top and bottom boundary. Their midpoint is then smoothed with an EMA to create the “liquid” centerline.
Displacement + Imbalance : a candle is considered displacement when its range expands beyond ATR(14) × Displacement Factor and it creates a simple FVG-style gap (current low above the high two bars back for bullish, or current high below the low two bars back for bearish). The bar is then filtered by being on the correct side of the smoothed flow center.
Liquidity Rails : each new confirmed swing high/low can become a dotted rail. Rails extend forward and are removed once price sweeps beyond the level (mitigation), keeping the chart focused on active liquidity.
Trading Ideas and Insights
Use the ribbon as context : bias is stronger when price holds one side of the flow centerline.
Treat displacement markers as impulse confirmation : they often appear at breakout moments or at the start of expansions.
Use liquidity rails as magnets : unmitigated swing highs/lows can act as targets for continuation or mean-reversion moves.
Combine structure + displacement: a sweep into a rail followed by an opposite displacement can hint at a reversal attempt.
How Multiple Components Work Together
This indicator is intentionally built as a single liquidity-driven workflow:
Swings define structure.
Structure defines the flow ribbon (trend/volatility context).
The ribbon filters displacement so you see momentum that aligns with flow.
Liquidity rails provide objective target zones derived from the same swing structure.
The result is a cohesive view of market structure flow, institutional-style displacement, and liquidity targets without stacking multiple separate indicators.
Unique Aspects
Structure-first ribbon: the band is anchored to confirmed swing points, not just a price average.
Imbalance-aware displacement: requires both range expansion and a gap-style condition, reducing generic “big candle” noise.
Self-cleaning liquidity rails: mitigated levels are removed to keep the chart readable.
How to Use
Start with defaults on a clean chart.
Identify the flow: price above the smoothed centerline favors bullish flow; below favors bearish flow.
Watch for displacement diamonds (“D”): they often validate a push away from structure and can mark the start of a leg.
Plan around rails: treat dotted lines as potential objectives and areas where reactions/sweeps can occur.
Customization
Structure Lookback : smaller values = more sensitive swings; larger values = cleaner, slower structure.
Displacement Factor : higher values = fewer, stronger displacement bars; lower values = more signals.
Show Liquidity Rails + Liquidity Lookback : control whether rails are plotted and how active levels are emphasized.
Visuals : adjust bullish/bearish flow colors and liquidity line styling for your chart theme.
Conclusion
Liquidity Gravity Engine helps you map market structure, highlight displacement and imbalance (FVG-style) momentum, and visualize liquidity targets with rails that stay relevant until swept. Use it for trend context, breakout confirmation, and liquidity-based trade planning on forex, crypto, stocks, and indices.
ICT Venom Trading Model [TradingFinder] SMC NY Session 2025SetupIt is a new interesting indicator. It might be a little bit difficult to implement but i like it a lot
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)
Average CandleAverage Candle is a custom indicator that plots a synthetic candle built from the average open, high, low, and close of the last X periods, providing a smoother view of price behavior and trend. It helps filter noise by summarizing recent market action into a single, representative **candle** per bar.
1. Introduction
Average Candle calculates the simple moving average of each OHLC component (Open, High, Low, Close) over a user-defined lookback period and renders that as a separate candle on the chart.
This creates a smoothed representation of price that is less affected by short-term volatility while still respecting the overall structure of the market.
By visualizing these averaged candles, traders can better identify underlying direction and momentum without removing the original price bars.
2. Key features
- Uses the average of the last X opens, highs, lows, and closes to build a synthetic candle for each bar, allowing consistent smoothing across all OHLC components.
- Colors the Average Candle bullish or bearish based on whether the average close is above or below the average open, making directional bias visually clear at a glance.
- Can be overlaid on the main chart to compare raw price candles with their averaged counterpart, helping traders distinguish meaningful swings from short-term noise.
3. How to use
- Add the indicator to your chart, choose the desired lookback length (X periods), and tune it according to your trading timeframe and style—for example, shorter lengths for more responsive signals and longer lengths for smoother trends.
- Use the Average Candle to confirm trend direction, detect potential reversals, or validate entries and exits by checking whether price action aligns with the smoothed average structure.
- Combine it with other tools such as support/resistance, volume, or momentum indicators, ensuring it is used as a complementary visualization aid rather than a standalone signal generator.
Market Health Indicator# Market Health Indicator - Documentation
## Overview
The Market Health Indicator is a Pine Script technical analysis tool designed for TradingView that evaluates overall market conditions by analyzing the relationship between price and three Exponential Moving Averages (EMAs), as well as the relationships between the EMAs themselves. The indicator provides a quantitative score and actionable investment recommendations.
---
## Purpose
This indicator helps traders and investors:
- Assess the overall health and trend strength of a market or security
- Make informed decisions about position sizing
- Identify bullish, bearish, or neutral market conditions
- Determine when to increase, reduce, or exit positions
---
## Scoring Methodology
### Scoring System
The indicator evaluates **6 conditions**, each contributing either **+1** or **-1** to the total score:
#### Price vs EMA Conditions (3 conditions)
1. **Price vs EMA 21**
- Price > EMA 21 → +1
- Price < EMA 21 → -1
2. **Price vs EMA 50**
- Price > EMA 50 → +1
- Price < EMA 50 → -1
3. **Price vs EMA 100**
- Price > EMA 100 → +1
- Price < EMA 100 → -1
#### EMA Relationship Conditions (3 conditions)
4. **EMA 21 vs EMA 100**
- EMA 21 > EMA 100 → +1
- EMA 21 < EMA 100 → -1
5. **EMA 21 vs EMA 50**
- EMA 21 > EMA 50 → +1
- EMA 21 < EMA 50 → -1
6. **EMA 50 vs EMA 100**
- EMA 50 > EMA 100 → +1
- EMA 50 < EMA 100 → -1
### Total Score Range
- **Minimum Score**: -6 (all conditions bearish)
- **Maximum Score**: +6 (all conditions bullish)
---
## Market Health Status
Based on the total score, the indicator assigns one of five market health statuses:
| Score Range | Status | Interpretation |
|-------------|--------|----------------|
| 4 to 6 | **Strong Bullish** | All or most conditions favor upward momentum |
| 2 to 3 | **Bullish** | Majority of conditions are positive |
| -1 to 1 | **Neutral** | Mixed signals, no clear directional bias |
| -3 to -2 | **Bearish** | Majority of conditions are negative |
| -6 to -4 | **Strong Bearish** | All or most conditions favor downward momentum |
---
## Investment Level Recommendations
The indicator provides position sizing recommendations based on the score:
| Score Range | Investment Level | Action |
|-------------|-----------------|--------|
| 4 to 6 | **100% Invested** | Maximum exposure - strong bullish conditions |
| 2 to 3 | **75% Invested** | High exposure - moderately bullish conditions |
| 0 to 1 | **50% Invested** | Moderate exposure - neutral to slightly positive conditions |
| Below 0 | **Exit Weak Stocks** | Reduce exposure - bearish conditions, exit underperforming positions |
---
## Installation & Setup
### Installation Steps
1. Open TradingView and navigate to any chart
2. Click on **Pine Editor** at the bottom of the screen
3. Copy the entire Pine Script code
4. Paste it into the Pine Editor
5. Click **"Add to Chart"**
### Configuration Options
The indicator includes two customizable settings accessible via the settings gear icon:
#### 1. Table Position
Choose where the indicator table appears on your chart:
- **Top**: top_left, top_center, top_right
- **Middle**: middle_left, middle_center, middle_right
- **Bottom**: bottom_left, bottom_center, bottom_right
**Default**: top_right
#### 2. Table Size
Adjust the text size of the indicator table:
- **tiny**: Smallest text size
- **small**: Small text size
- **normal**: Standard text size (default)
- **large**: Large text size
- **huge**: Largest text size
**Default**: normal
---
## Understanding the Display
### Table Components
The indicator displays a table with the following rows:
1. **Header Row (Colored)**
- Left cell: Market Health status
- Right cell: Current score out of 6
- Color indicates market condition (green = bullish, yellow = neutral, red = bearish)
2. **Investment Level Row (Blue)**
- Shows recommended position sizing based on current score
- Helps with portfolio management decisions
3. **Column Headers (Gray)**
- "Condition" - describes each evaluation criteria
- "Score" - shows the +1 or -1 value
4. **Condition Rows (6 rows)**
- Each row shows one of the 6 scoring conditions
- Left column: condition description
- Right column: score value (+1 in green or -1 in red)
---
## Interpretation Guidelines
### Strong Bullish (Score 4-6)
**Characteristics:**
- Price trading above all major EMAs
- EMAs aligned in bullish order (21 > 50 > 100)
- Strong upward momentum
**Action:**
- Maintain full exposure (100% invested)
- Consider adding to winning positions
- Look for pullbacks as buying opportunities
### Bullish (Score 2-3)
**Characteristics:**
- Price above most EMAs
- Generally positive EMA alignment
- Moderate upward trend
**Action:**
- Maintain high exposure (75% invested)
- Hold existing positions
- Be selective with new entries
### Neutral (Score -1 to 1)
**Characteristics:**
- Mixed signals from price and EMAs
- No clear trend direction
- Market indecision
**Action:**
- Reduce exposure to 50%
- Wait for clearer signals
- Focus on risk management
- Consider range-bound strategies
### Bearish (Score -2 to -3)
**Characteristics:**
- Price below most EMAs
- Generally negative EMA alignment
- Moderate downward trend
**Action:**
- Exit weak positions
- Reduce overall exposure
- Raise cash levels
- Protect capital
### Strong Bearish (Score -4 to -6)
**Characteristics:**
- Price trading below all major EMAs
- EMAs aligned in bearish order (21 < 50 < 100)
- Strong downward momentum
**Action:**
- Exit weak stocks immediately
- Minimal to no long exposure
- Preserve capital
- Wait for market conditions to improve
---
## Best Practices
### Usage Tips
1. **Timeframe Selection**
- Works on all timeframes
- Higher timeframes (daily, weekly) provide more reliable signals
- Lower timeframes (intraday) may generate more frequent signals but with higher noise
2. **Combine with Other Analysis**
- Use as a component of a comprehensive trading strategy
- Complement with support/resistance levels
- Consider volume and other momentum indicators
- Factor in fundamental analysis for longer-term positions
3. **Position Sizing**
- Treat investment level recommendations as guidelines, not rigid rules
- Adjust based on your risk tolerance and account size
- Consider your overall portfolio allocation
4. **Risk Management**
- Always use stop losses regardless of indicator reading
- Don't ignore risk management during "Strong Bullish" periods
- The indicator shows trend, not specific entry/exit points
### Limitations
- **Lagging Nature**: EMAs are lagging indicators, so signals may come after trend changes have begun
- **Whipsaw Risk**: In choppy, sideways markets, the indicator may generate mixed signals
- **Not a Standalone System**: Should be used as part of a broader trading strategy
- **No Predictive Power**: Shows current conditions, not future direction
- **Market Context**: May need adjustment during extreme market conditions or unusual volatility
---
## Technical Details
### EMA Calculations
The indicator uses three standard Exponential Moving Averages:
- **EMA 21**: Short-term trend (approximately 1 month of trading days)
- **EMA 50**: Medium-term trend (approximately 2.5 months)
- **EMA 100**: Long-term trend (approximately 5 months)
EMAs give more weight to recent prices compared to Simple Moving Averages (SMAs), making them more responsive to price changes.
### Update Frequency
- The indicator recalculates on every bar close
- Real-time updates during the current bar formation
- Table displays the most recent completed bar data
### Performance
- Lightweight indicator with minimal computational overhead
- Suitable for use with multiple charts simultaneously
- No historical data storage required beyond standard EMA calculations
---
## Frequently Asked Questions
**Q: Can I change the EMA periods (21, 50, 100)?**
A: The current version uses fixed EMA periods. Modifying these would require editing the Pine Script code directly.
**Q: Does this indicator work on all assets?**
A: Yes, it works on stocks, forex, cryptocurrencies, commodities, and indices - any asset with price data.
**Q: Can I use this for day trading?**
A: Yes, but it's designed for swing trading and position trading. For day trading, consider using lower timeframes and being aware of increased signal noise.
**Q: What if the score keeps changing?**
A: Frequent score changes indicate a choppy or transitional market. Consider waiting for a more stable reading before taking action.
**Q: Should I exit ALL positions when score is negative?**
A: The recommendation is to "Exit Weak Stocks" - focus on underperforming positions. Strong stocks may still be held with appropriate stop losses.
**Q: Can I get alerts based on score changes?**
A: The current version doesn't include alerts, but this functionality could be added with Pine Script modifications.
---
## Version History
**Version 1.0**
- Initial release
- 6-condition scoring system
- Investment level recommendations
- Customizable table position and size
- Overlay on main chart
---
## Support & Feedback
For questions, suggestions, or issues with the indicator:
- Review this documentation thoroughly
- Test the indicator on historical data before live trading
- Adjust settings to match your chart layout preferences
- Always paper trade new strategies before risking real capital
---
## Disclaimer
This indicator is provided for educational and informational purposes only. It does not constitute financial advice, investment advice, trading advice, or any other type of advice. Trading and investing involve substantial risk of loss. Past performance is not indicative of future results. Always do your own research and consult with a qualified financial advisor before making investment decisions.
