avgPrice - VFHere I create my own indicator on Tradingview to detect whale movements in stocks, crypto, & forex, which is suitable for all trading instruments. This the best i made indicator ever.
Why is this indicator called avgPrice VF , because it is the [i average price along with the Volume and Frequency . Not only the average price, and not only the average price along with the volume, but also includes the frequency in it, what is the use for?
This indicator useful for detect the whale approach by volume and frequency analysys. it is useful for detecting increases based on whale/market maker/ smart money buying actions and detecting decreases based on whale/market maker/ smart money selling actions.
There is also an automatic analysis of "Long" and "Short" so it is easy to use, with 3 line features with different colors and different functions as explained below:
The green or red lines are the average price and volume, the yellow line is the average price & frequency, and the gray line is the average price, volume, and frequency. How to read the line like this: if the gray line is below the yellow line, then there is accumulation by whales, conversely if the gray line is above the yellow line, then there is distribution by whales, and if the price below the red line, there is downtrend and if the price above the green line, there is uptrend. It has been accompanied by information below right regarding uptrend or downtrend and accumulation or distribution. And I have summarized whale detection analysis in one simple indicator, if you want to "Long" is just "Long" and if you want to "Short" is just "Short". Long means accummulation by whale from retailer and short means distribution by whale to retailer.
I like to share and I love the world of trading, for me this is like a second life. Hopefully this description is useful and motivates friends to get consistent profits from trading.
Greetings,
Ketidakstabilan
Volume Box PressureThis is a liquidity analysis to determine support and resistance from large volumes that are automatically detected. Its use is if the candle breakout upwards from the box, then the candle would fly high. Conversely, if the candle breakdown downwards from the box, then the candle would fall deep.
Wave Analyzer - Bobal [hamgkia]The Bobal tool is a volume-based wave analyzer designed to highlight the effort behind price movement within trend waves. It is built with a focus on clarity, speed of response, and a Wyckoff-inspired philosophy, where volume and trend direction are deeply intertwined.
This script offers a unique visualization of directional volume flow — up or down — in clearly segmented waves, allowing traders to assess who is in control and how strong their effort is. It does this by calculating dynamic trend waves, accumulating volume within those waves, and comparing volume to volatility for normalization.
🔶 WHAT'S INCLUDED
Detects directional waves based on your selected moving average (SMA, EMA, WMA, or HMA).
Accumulates volume within each wave, creating a distinct "volume block" per wave.
Normalizes volume by ATR (optional) to adjust for current market volatility.
Applies a power function to volume strength for dynamic contrast (stronger waves stand out visually).
Plots volume histograms in real-time: green/orange for up waves, red/fuchsia for down waves.
Optional - displays trend strength background based on recent price expansion vs ATR.
🔷 HOW IT WORKS
Wave Definition
A wave is defined as a sequence of bars moving in the same direction based on a selected moving average:
If the MA rises → uptrend wave
If the MA falls → downtrend wave
Wave resets on direction change.
Volume Accumulation
Volume is accumulated within each wave, starting fresh at the beginning of each new wave. This clean segmentation reveals whether the current wave is attracting participation (volume).
Normalization (Optional)
Volume can be normalized by the ATR (Average True Range) to account for volatility differences across symbols and timeframes. This makes comparisons more meaningful.
Strength Calculation
Volume strength is calculated by comparing current wave volume to the maximum over a recent period (default: 50 bars), and applying a pow() function for expressive scaling. This emphasizes high-effort waves while de-emphasizing noise.
🔶 USAGE
A new wave starts when the selected MA (SMA, EMA, WMA, HMA) changes direction.
Read the Strength of the Current Wave
🟩 — strong up
🟧 — weak up
🟪 — weak down
🟥 — strong down
Look for these setups
📉 Strong down wave 🟥 followed by weak up wave 🟧 — possible lower high, selling may resume.
📈 Strong up wave 🟩 followed by weak down wave 🟪 — possible bullish absorption, look for long setups.
Wave is long, but volume fades (bars shrink) — trend may be slowing, consider tightening stops or avoiding late entries.
Trend is increasing, volumes are growing — potential entry points.
Use Background Strength for Context
🟩 — bright green — strong bullish
🟥 — bright red — strong bearish
Any dim or translucent color — no clear trend
What NOT to do
Don’t enter blindly on volume spikes — check direction and trend background first.
Don’t treat every strong bar as a signal — look for sequences and transitions, not isolated bars.
Ideal Use Cases
Confirming trend strength before entry.
Avoiding fakeouts in low-volume waves.
Spotting transitions in buyer/seller dominance.
Reading market participation in real time.
ATR VolatilityWe know that instruments have different levels of volatility. Therefore, this indicator introduces a table that describes volatility in a simple way. This table inform you for period, change(%), ATR and volatility in the timeframe: day, 4 hours, 1 hour, 30 minutes, 15 minutes and 5 minutes. It is important for you who need to measure volatility simply as a reference for setting a takeprofit and a stoploss.
FSH ATR MTF MonitorThe FSH ATR MTF Monitor tracks the Average True Range (ATR) and current range across six customizable timeframes, displaying the results in a table. When a timeframe’s range exceeds its ATR, the range value turns yellow, signaling heightened volatility. This multi-timeframe tool helps traders assess market conditions and plan entries or exits.
Key Features:
- Monitors ATR and range for up to six timeframes simultaneously.
- Customizable ATR length and timeframe inputs.
- Highlights ranges exceeding ATR in yellow for quick identification.
- Table display with toggle option for flexibility.
How to Use:
1. Add the indicator to your chart.
2. Adjust the ATR length and timeframes in the inputs as needed.
3. Watch for yellow range values to spot volatility spikes across timeframes.
4. Toggle the table off if not needed.
Ideal for scalpers, swing traders, or anyone analyzing volatility across multiple timeframes.
Trading SessionsTrading Sessions Indicator Description
Overview:
The “Trading Sessions” indicator is a customizable Pine Script (version 6) tool designed for TradingView to visualize major trading sessions (Tokyo, London, New York) on intraday charts. It highlights session periods with boxes, marks key price levels (open, close, high, low, and average prices), and provides detailed session information via labels. The indicator is highly configurable, allowing users to tailor its appearance and functionality to their trading needs.
Key Features:
1. Session Visualization:
- Displays up to three trading sessions (Tokyo, London, New York) as colored boxes on the chart, representing the session’s high and low price range.
- Each session is configurable for time, timezone, name, and color, with defaults set to standard market hours (e.g., Tokyo: 09:00-15:00 Asia/Tokyo, London: 08:30-16:30 Europe/London, New York: 09:30-16:00 America/New_York).
- Supports IANA timezone database names (e.g., “America/New_York”) for accurate handling of daylight savings and other time adjustments.
2. Price Level Markers:
- Open/Close Lines: Optional dashed lines mark the session’s open and close prices, with a filled area between them for visual clarity.
- High/Low Lines Optional dashed lines indicate the session’s highest and lowest prices, updating dynamically as new extremes occur.
- Average Price Line An optional dotted line shows the average closing price across the session’s bars, useful for identifying the session’s central tendency.
3. Session Information Labels:
- Labels below each session box display:
- Session name (e.g., “Tokyo”).
- Tick range (high minus low, in minimum tick increments).
- Average price (mean of closing prices within the session).
- Each component is toggleable to reduce chart clutter.
4. Customization Options:
- Session Settings:
- Enable/disable individual sessions.
- Customize session names, time ranges, timezones, and box colors.
- Line Styling:
- Choose line styles (Solid, Dashed, Dotted) for open/close, high/low, and average lines.
- Toggle between using the session’s box color or a custom color for each line type.
- Custom color pickers for open/close, high/low, and average lines when not using session colors.
- Display Controls:
- Toggle visibility of session names, open/close lines, high/low lines, tick range, and average price displays.
- All settings are organized into intuitive groups (e.g., “First Session”, “Line Style Settings”) for easy configuration.
5. Technical Details:
- Uses Pine Script’s `box`, `line`, `label`, and `linefill` objects to render sessions, with limits set to 500 boxes, lines, and labels to handle dense charts.
- Automatically resets sessions on daily timeframe changes to ensure accurate session boundaries.
- Restricted to intraday timeframes (e.g., 1-minute, 1-hour) with an error message if used on daily, weekly, or monthly charts.
- Efficiently manages resources by updating active sessions and clearing inactive ones.
Use Cases:
- Forex and Equity Traders: Visualize high-volatility periods for major markets to time entries and exits.
- Session Analysis: Identify key price levels (open, close, high, low, average) to assess session behavior and range.
- Custom Strategies: Adapt session times and styles to non-standard markets or personal trading schedules.
Limitations:
- Not compatible with non-intraday timeframes (daily, weekly, monthly).
- Maximum of three sessions to maintain performance and chart clarity.
- Line styles and colors are uniform across sessions for simplicity, though colors can be customized independently of session colors.
How to Use:
1. Add the indicator to your TradingView chart.
2. Configure session settings (time, timezone, color, name) in the indicator’s inputs.
3. Adjust line styles and colors in the “Line Style Settings” group to match your preferences.
4. Toggle visibility of lines, labels, and data displays to focus on relevant information.
5. Apply to an intraday chart to see session boxes and price markers in action.
This indicator is ideal for traders seeking a flexible, visually clear way to track trading sessions and key price levels, with extensive customization to suit various markets and trading styles.
BONK 1H Long Volatility StrategyGrok 1hr bonk strategy:
Key Changes and Why They’re Made
1. Indicator Adjustments
Moving Averages:
Fast MA: Changed to 5 periods (from, e.g., 9 on a higher timeframe).
Slow MA: Changed to 13 periods (from, e.g., 21).
Why: Shorter periods make the moving averages more sensitive to quick price changes on the 1-hour chart, helping identify trends faster.
ATR (Average True Range):
Length: Set to 10 periods (down from, e.g., 14).
Multiplier: Reduced to 1.5 (from, e.g., 2.0).
Why: A shorter ATR length tracks recent volatility better, and a lower multiplier lets the strategy catch smaller price swings, which are more common hourly.
RSI:
Kept at 14 periods with an overbought level of 70.
Why: RSI stays the same to filter out overbought conditions, maintaining consistency with the original strategy.
2. Entry Conditions
Trend: Requires the fast MA to be above the slow MA, ensuring a bullish direction.
Volatility: The candle’s range (high - low) must exceed 1.5 times the ATR, confirming a significant move.
Momentum: RSI must be below 70, avoiding entries at potential peaks.
Price: The close must be above the fast MA, signaling a pullback or trend continuation.
Why: These conditions are tightened to capture frequent volatility spikes while filtering out noise, which is more prevalent on a 1-hour chart.
3. Exit Strategy
Profit Target: Default is 5% (adjustable from 3-7%).
Stop-Loss: Default is 3% (adjustable from 1-5%).
Why: These levels remain conservative to lock in gains quickly and limit losses, suitable for the faster pace of a 1-hour timeframe.
4. Risk Management
The strategy may trigger more trades on a 1-hour chart. To avoid overtrading:
The ATR filter ensures only volatile moves are traded.
Trading fees (e.g., 0.5% on Coinbase) reduce the net profit to ~4% on winners and -3.5% on losers, requiring a win rate above 47% for profitability.
Suggestion: Risk only 1-2% of your capital per trade to manage exposure.
5. Visuals and Alerts
Plots: Blue fast MA, red slow MA, and green triangles for buy signals.
Alerts: Trigger when an entry condition is met, so you don’t need to watch the chart constantly.
How to Use the Strategy
Setup:
Load TradingView, select BONK/USD on the 1-hour chart (Coinbase pair).
Paste the script into the Pine Editor and add it to your chart.
Customize:
Adjust the profit target (e.g., 5%) and stop-loss (e.g., 3%) to your preference.
Tweak ATR or MA lengths if BONK’s volatility shifts.
Trade:
Look for green triangle signals and confirm with market context (e.g., volume or news).
Enter trades manually or via TradingView’s broker tools if supported.
Exit when the profit target or stop-loss is hit.
Test:
Use TradingView’s Strategy Tester to backtest on historical data and refine settings.
Benefits of the 1-Hour Timeframe
Faster Opportunities: Captures shorter-term uptrends in BONK’s volatile price action.
Responsive: Adjusted indicators react quickly to hourly changes.
Conservative: Maintains the 3-7% profit goal with tight risk control.
Potential Challenges
Noise: The 1-hour chart has more false signals. The ATR and MA filters help, but caution is needed.
Fees: Frequent trading increases costs, so ensure each trade’s potential justifies the expense.
Volatility: BONK can move unpredictably—monitor broader market trends or Solana ecosystem news.
Final Thoughts
Switching to a 1-hour timeframe makes the strategy more active, targeting shorter volatility spikes while keeping profits conservative at 3-7%. The adjusted indicators and conditions balance responsiveness with reliability. Backtest it on TradingView to confirm it suits BONK’s behavior, and always use proper risk management, as meme coins are highly speculative.
Disclaimer: This is for educational purposes, not financial advice. Cryptocurrency trading, especially with assets like BONK, is risky. Test thoroughly and trade responsibly.
PG (45 Min) - PROD v6This strategy combines familiar technical tools into a structured system designed for clean, high-probability setups on the 45-minute timeframe. It is modular, momentum-driven, and equipped with adaptive risk and drawdown control.
⸻
🔍 Core Logic & Indicators:
• Volume Filter: Confirms signals using volume above a 25-bar SMA.
• MACD Signal Logic: Tracks histogram color changes (not just crossovers), requiring two flips before entry triggers.
• HMA-Based CMO: Custom momentum logic using Hull MA of open/close; identifies overbought/oversold momentum at pivots.
• RSI Thresholds: RSI < 25 marks support zones; RSI > 75 flags potential resistance.
• Support Pattern Logic: Uses bar indexing to track valid double-signal support zones with volume confirmation.
• Price Drop Entry Filter: Entry only triggers if price dips 1% below support trigger and MACD momentum flips again.
⸻
📊 Rolling Profit Factor + Dynamic Position Multiplier:
The script calculates a rolling profit factor using the last 24 closed trades. This PF dynamically adjusts a position size multiplier to scale exposure based on recent performance:
• PF < 2.0 → No multiplier
• PF 2.0–3.0 → 1.0x
• PF 3.0–5.0 → 1.5x
• PF 5.0–7.0 → 1.75x
• PF > 7.0 → 2.5x
This approach helps adjust trade aggressiveness without manual tuning, aligning system behavior with real equity performance.
⸻
🔻 Drawdown Management:
Tracks both per-trade and rolling max drawdown:
• Monitors equity during open trades to track peak/trough
• Calculates per-trade drawdown and stores in a rolling array
• Applies rolling max drawdown as a dynamic exit threshold after 1000 bars
• Prevents excessive risk by comparing real equity deviation against historical pain points
⸻
⚙️ Additional Features:
• Cascading take-profit logic reduces TP target slightly each bar
• Clean JSON-formatted alerts for both entries and exits
• No repainting, no security() lookaheads
• Alert payloads compatible with automation tools
⸻
🧪 Backtest Parameters:
• Initial capital: $100
• Trade size: $75 per trade
• Commission: 0.4%
• Slippage not included
• Timeframe: 45-min (designed for intraday swing setups)
31 Trades made over the Backtest Period (depends on your subscription). Running this live for the last 60 days.
Candle PercentageThis script calculates the percentage movement of the candle body from open to close and displays it as a label on the chart. The label color changes based on the candle's direction:
Green for bullish (price closes higher than it opened),
Red for bearish (price closes lower than it opened).
The script also allows you to select the label size, with the following options:
Tiny (very small text)
Small (small text)
Normal (default text size)
Large (large text)
Huge (giant text)
By default, the label size is set to Normal.
The percentage is calculated using the formula:
(Body Size / Open Price) * 100
This is helpful for traders who want to quickly assess the magnitude of price movement within each candle and analyze market sentiment based on the size of the body.
LKS VOLATILIDADE GRINGOVolatility Amplitude developed by Lukas Guimarães.
It's not support and resistance, if you don't know how to use it, contact the developer!
Insta: www.instagram.com
SPX Divergence DashboardLoad onto SPX chart (or SPY intraday if you don’t have real-time SPX).
This script displays real-time divergences between SPX and ES Futures (S&P 500 E-mini), VIX (Volatility Index) and Mega Caps (e.g., AAPL, MSFT, NVDA, AMZN, GOOG) and NASDAQ (NDX or QQQ)
How to Use These Divergences Together:
Confirm directional conviction — e.g., SPX up + NDX up + Mega Caps green = strong bullish alignment.
Spot reversal zones — e.g., SPX up + VIX up = potential reversal; add volume spike confirmation.
Monitor breadth deterioration — e.g., SPX green while mega caps diverge red = distribution.
Green → bullish divergence
Red → bearish divergence
Gray → neutral or weak signal
Divergence thresholds
Whether to show labels or dashboard
Enable/disable alerts
Shows live divergence values
Color-coded alerts (Bullish/Bearish/Neutral)
Optional labels and signal highlights
Designed for intraday use which help gauge reversal potential and Futures directional mismatch.
Use along with the Divergence Mini Dashboard for more clarity.
Bhoomi Indicator v1This indicator helps traders analyze NSE (National Stock Exchange) stocks by combining moving averages (MAs) and a volatility-based stop system to generate buy/sell signals.
Key Features
1. Moving Averages (Trend Identification)
Plots four exponential moving averages (EMAs) on the chart:
20 EMA (Green) – Short-term trend
50 EMA (Blue) – Medium-term trend
100 EMA (Blue) – Long-term trend
200 EMA (Red) – Major trend support/resistance
These MAs help identify whether the market is in an uptrend or downtrend.
2. Volatility Stop (Dynamic Exit System)
Uses Average True Range (ATR) to create a trailing stop level.
Green Stop Line → Market is in an uptrend (buyers control price).
Red Stop Line → Market is in a downtrend (sellers in control).
Adjustable settings for sensitivity (ATR length & multiplier).
3. Buy & Sell Signals
Buy Signal (Green "BUY" Label)
Price is above all four MAs (strong uptrend).
Volatility stop switches from red to green (confirms trend reversal).
Sell Signal (Red "SELL" Label)
Price is below all four MAs (strong downtrend).
Volatility stop switches from green to red (confirms downtrend).
4. screener - This indicator screens top 40 nse stocks for buy and sell signal
How Traders Can Use This Indicator
✅ Trend Confirmation – If price is above all MAs, the trend is bullish.
✅ Entry Signals – "BUY" appears when trend strengthens, "SELL" when weakening.
✅ Exit Strategy – The volatility stop helps lock in profits or cut losses
📌 Disclaimer: Past performance is not indicative of future results. No trading strategy can guarantee success in financial markets.
📌 Strategic Advice: Always back test, optimize, and align parameters with your trading objectives and risk tolerance before live trading.
Day’s Open ForecastOverview
This Pine Script indicator combines two primary components:
1. Day’s Open Forecast:
o Tracks historical daily moves (up and down) from the day’s open.
o Calculates average up and down moves over a user-defined lookback period.
o Optionally includes standard deviation adjustments to forecast potential intraday levels.
o Plots lines on the chart for the forecasted up and down moves from the current day's open.
2. Session VWAP:
o Allows you to specify a custom trading session (by time range and UTC offset).
o Calculates and plots a Volume-Weighted Average Price (VWAP) during that session.
By combining these two features, you can gauge potential intraday moves relative to historical behavior from the open, while also tracking a session-specific VWAP that can act as a dynamic support/resistance reference.
How the Code Works
1. Collect Daily Moves
o The script detects when a new day starts using time("D").
o Once a new day is detected, it stores the previous day’s up-move (dayHigh - dayOpen) and down-move (dayOpen - dayLow) into arrays.
o These arrays keep track of the last N days (default: 126) of up/down move data.
2. Compute Statistics
o The script computes the average (f_average()) of up-moves and down-moves over the stored period.
o It also computes the standard deviation (f_stddev()) of up/down moves for optional “forecast bands.”
3. Forecast Lines
o Plots the current day’s open.
o Plots the average forecast lines above and below the open (Avg Up Move Level and Avg Down Move Level).
o If standard deviation is enabled, plots additional lines (Avg+StdDev Up and Avg+StdDev Down).
4. Session VWAP
o The script detects the start of a user-defined session (via input.session) and resets accumulation of volume and the numerator for VWAP.
o As each bar in the session updates, it accumulates volume (vwapCumulativeVolume) and a price-volume product (vwapCumulativeNumerator).
o The session VWAP is then calculated as (vwapCumulativeNumerator / vwapCumulativeVolume) and plotted.
5. Visualization Options
o Users can toggle standard deviation usage, historical up/down moves plotting, and whether to show the forecast “bands.”
o The vwapSession and vwapUtc inputs let you adjust which session (and time zone offset) the VWAP is calculated for.
________________________________________
How to Use This Indicator on TradingView
1. Create a New Script
o Open TradingView, then navigate to Pine Editor (usually found at the bottom of the chart).
o Copy and paste the entire code into the editor.
2. Save and Add to Chart
o Click Save (give it a relevant title if you wish), then click Add to chart.
o The indicator will appear on your chart with the forecast lines and VWAP.
o By default, it is overlayed on the price chart (because of overlay=true).
3. Customize Inputs
o In the indicator’s settings, you can:
Change lookback days (default: 126).
Enable or disable standard deviation (Include Standard Deviation in Forecast?).
Adjust the standard deviation multiplier.
Choose whether to plot bands (Plot Bands with Averages/StdDev?).
Plot historical moves if desired (Plot Historical Up/Down Moves for Reference?).
Set your custom session and UTC offset for the VWAP calculation.
4. Interpretation
o “Current Day Open” is simply today’s open price on your chart.
o Up/Down Move Lines: Indicate a potential forecast based on historical averages.
If standard deviation is enabled, the second set of lines acts as an extended range.
o VWAP: Helpful for determining intraday price equilibrium over the specified session.
Important Notes / Best Practices
• The script only updates the historical up/down move data once per day (when a new day starts).
• The VWAP portion resets at the start of the specified session each day.
• Standard deviation multiplies the average up/down range, giving you a sense of “volatility range” around the day’s open.
• Adjust the lookback length (dayCount) to balance how many days of data you want to average. More days = smoother but possibly slower to adapt; fewer days = more reactive but potentially less reliable historically.
Educational & Liability Disclaimers
1. Educational Disclaimer
o The information provided by this indicator is for educational and informational purposes only. It is a technical analysis tool intended to demonstrate how to use historical data and basic statistics in Pine Script.
2. No Financial Advice
o This script does not constitute financial or investment advice. All examples and explanations are solely illustrative. You should always do your own analysis before making any investment decisions.
3. No Liability
o The author of this script is not liable for any losses or damages—monetary or otherwise—that may occur from the application of this script.
o Past performance does not guarantee future results, and you should never invest money you cannot afford to lose.
By adding this indicator to your TradingView chart, you acknowledge and accept that you alone are responsible for your own trading decisions.
Enjoy using the “Day’s Open Forecast” and Session VWAP for better market insights!
ASKM Key Open Levels Auto// ──────────────────────── ─────────────────────────
// Askem Auto Key Opening Levels
// Version: Pine Script v6
// Author: ✦ASKM
// Description:
// This indicator automatically plots horizontal lines on the opening price
// at the following key times: 00:00, 09:00, 09:30, 10:00, 1:00 PM, 6:00 PM (local time provided by GMT offset).
//
// ✔️ Automatically reset lines every day at midnight
// ✔️ Customizable lines (color, style, thickness)
// ✔️ Time displayed above each line, without a box
// ✔️ Customizable line extension to the right (in hours)
//
//─────────────────────── ────────────────────────
ICEICE is a goated ahh level based system using basic volatility and basic deviations to predict possible highs and lows
indicator also includes XDR levels which are the same on a lower time frame basis
Trend Targets [AlgoAlpha]OVERVIEW
This script combines a smoothed trend-following model with dynamic price rejection logic and ATR-based target projection to give traders a complete visual framework for trading trend continuations. It overlays on price and automatically detects potential trend shifts, confirms rejections near dynamic support/resistance, and displays calculated stop-loss and take-profit levels to support structured risk-reward management. Unlike traditional indicators that only show trend direction or signal entries, this tool brings together a unique mix of signal validation, volatility-aware positioning, and layered profit-taking to guide decision-making with more context.
CONCEPTS
The core trend logic is built on a custom Supertrend that uses an ATR-based band structure with long smoothing chains—first through a WMA, then an EMA—allowing the trend line to respond to major shifts while ignoring noise. A key addition is the use of rejection logic: the script looks for consolidation candles that "hug" the smoothed trend line and counts how many consecutive bars reject from it. This behavior often precedes significant moves. A user-defined threshold filters out weak tests and highlights only meaningful rejections.
FEATURES
Trend Detection : Automatically identifies trend direction using a smoothed Supertrend (WMA + EMA), with shape markers on trend shifts and color-coded bars for clarity.
Rejection Signals : Detects price rejections at the trend line after a user-defined number of consolidation bars; plots ▲/▼ icons to highlight strong continuation setups.
Target Projection : On trend confirmation, plots entry, stop-loss (ATR-based), and three dynamic take-profit levels based on customizable multiples.
Dynamic Updates : All levels (entry, SL, TP1–TP3) auto-adjust based on volatility and are labeled in real time on the chart.
Customization : Users can tweak trend parameters, rejection confirmation count, SL/TP ratios, smoothing lengths, and appearance settings.
Alerts : Built-in alerts for trend changes, rejection events, and when TP1, TP2, or TP3 are reached.
Chart Overlay : Plots directly on price chart with minimal clutter and clearly labeled levels for easy trading.
USAGE
Start by tuning the Supertrend factor and ATR period to fit your asset and timeframe—higher values will catch bigger swings, lower values catch faster moves. The confirmation count should match how tightly you want to filter rejection behavior—higher values make signals rarer but stronger. When the trend shifts, the indicator colors the bars and line accordingly, and if enabled, plots the full entry-TP-SL structure. Rejection markers appear only after enough qualifying bars confirm price pressure at the trend line. This is especially useful for continuation plays where price retests the trend but fails to break it. All calculations are based on volatility (ATR), so targets naturally adjust with market conditions. Add alerts to get notified of important signals even when away from the chart.
RSI VWAP POC [Uncle Sam Trading]Category: Oscillators, Volume, Market Profile
Timeframe: Suitable for all timeframes
Markets: Crypto, Forex, Stocks, Commodities
Overview
The RSI VWAP POC indicator is a powerful and innovative oscillator that combines the Relative Strength Index (RSI), Volume-Weighted Average Price (VWAP), and Point of Control (POC) from market profile analysis. Designed to provide traders with clear, high-probability trading signals, this indicator helps you identify key market levels, spot overbought/oversold conditions, and time your entries and exits with precision. Whether you’re a day trader, swing trader, or scalper, this free tool adds significant value to your trading strategy by offering a unique blend of momentum, volume, and market profile insights.
How It Works
This indicator integrates three core components to deliver actionable insights:
RSI (Relative Strength Index): Measures momentum to identify overbought (above 70) and oversold (below 30) conditions, helping you anticipate potential reversals.
VWAP (Volume-Weighted Average Price): Calculates a volume-weighted price benchmark, which is used to compute a more accurate, volume-sensitive RSI. This ensures the indicator reflects true market dynamics.
POC (Point of Control): Derived from market profile analysis, the POC represents the price level with the highest traded volume in a session, acting as a critical support or resistance level.
The indicator plots a smoothed RSI based on VWAP, overlaid with market profile data on a user-defined higher timeframe (default: 4H). The POC is displayed as a red line, with aqua bars indicating the value area where the majority of trading volume occurred. When the RSI crosses the POC, the indicator generates clear buy and sell signals:
Strong Buy (SBU): RSI crosses above the POC in an oversold zone.
Strong Sell (SBD): RSI crosses below the POC in an overbought zone.
Additional features include:
Background colors to highlight bullish (green) or bearish (red) trends.
Shaded zones for overbought (70/60) and oversold (30/40) levels.
Customizable settings to fit your trading style and timeframe.
How This Indicator Adds Value
The RSI VWAP POC indicator offers several key benefits that enhance your trading performance:
High-Probability Signals: By combining RSI, VWAP, and POC, this indicator identifies trades at key market levels where price is likely to react, increasing your win rate.
Improved Timing: Clear buy and sell signals, such as ‘SBU’ and ‘SBD’, help you enter and exit trades at optimal points, maximizing profitability.
Risk Management: Overbought/oversold zones and trend confirmation via background colors help you avoid false signals, protecting your capital.
Versatility: Suitable for all markets (crypto, forex, stocks) and timeframes, making it a valuable tool for traders of all experience levels.
Time Efficiency: The indicator does the heavy lifting by analyzing momentum, volume, and market profile data, allowing you to focus on executing trades.
Real-World Performance Example: On a 1-hour Bitcoin chart with a 4-hour higher timeframe, this indicator identified a strong sell signal on April 6th at 12:00 ($82,000), leading to a 9% drop to $74,600. A subsequent strong buy signal on April 7th at 04:00 ($76,200) captured a 6% rise to $81,200 – a potential 25% profit with 5x leverage if exited at 5%.
How to Use
Add the Indicator: Search for “RSI VWAP POC ” in TradingView’s indicator library and add it to your chart.
Set Your Timeframe: The indicator works on any timeframe but is optimized for a 1-hour chart with a 4-hour higher timeframe (set in the settings).
Interpret Signals:
Look for ‘SBU’ (strong buy) labels when the RSI crosses above the POC in an oversold zone, indicating a potential buying opportunity.
Look for ‘SBD’ (strong sell) labels when the RSI crosses below the POC in an overbought zone, signaling a potential selling opportunity.
Use the background colors (green for bullish, red for bearish) to confirm the trend.
Combine with Your Strategy: Use the indicator alongside your existing analysis (e.g., support/resistance, candlestick patterns) for best results.
Settings and Customization
The indicator is highly customizable to suit your trading needs:
RSI Length (Default: 14): Adjust the sensitivity of the RSI. Use a shorter length (e.g., 10) for scalping, or a longer length (e.g., 20) for smoother signals.
EMA Smoothing Length (Default: 3): Smooths the RSI line. Increase to 5 or 7 for less choppy signals in volatile markets.
Higher Timeframe (Default: 240 minutes): Set to 240 (4 hours) for a 1-hour chart. Adjust based on your chart’s timeframe (e.g., 60 minutes for a 15-minute chart).
Value Area Percentage (Default: 100%): Defines the size of the value area around the POC. Lower to 70% for a tighter focus on key levels.
Overbought/Oversold Thresholds (Defaults: 70/30): Adjust these levels to match market conditions (e.g., 80/20 for trending markets).
Show POC Line (Default: True): Toggle the red POC line on or off.
Show Buy/Sell Signals: Enable ‘Show Strong Breakup Signals’ and ‘Show Strong Breakdown Signals’ to focus on high-probability trades.
Why Choose This Indicator?
The RSI VWAP POC indicator stands out by offering a unique combination of momentum, volume, and market profile analysis in a single, easy-to-use tool. It’s designed to help traders of all levels make informed decisions, reduce risk, and increase profitability. Whether you’re trading Bitcoin, forex pairs, or stocks, this indicator provides the clarity and precision you need to succeed.
VoluTility🌊 VoluTility forecasts trend exhaustion, breakout pressure, and structural inflection by measuring volatility within the effort stream. Built on the concept of ATR applied to volume, it doesn’t read raw volume — it reveals whether that volume is stable, chaotic, or compressing ahead of a move. The goal is to detect structural setups before they resolve. The lower the timeframe, the greater the alpha.
🧠 Core Logic
A zero-centered histogram shows the deviation of smoothed volume from its own volatility baseline. Positive bars indicate expansion; negative bars signal compression. Color reflects rate-of-change in volume volatility. Opacity tracks effort/result strength — showing when moves are real or hollow.
The overlaid ribbon (EMA vs HMA) highlights rhythm shifts. Orange fill signals real expansion; yellow shows decay or absorption. Together, they expose pre-breakout compression and exhaustion tails before price reacts.
🏗️ Structural Read
On the 1H BTC chart shown, price coils into a shallow pullback, compressing within a narrow range marked by shrinking candle bodies and muted wick aggression. A sudden expansion candle breaks the coil cleanly, with no immediate rejection or wick reversion. Price holds above the breakout pivot, establishing a baseline for structural acceptance and shifting bias toward continuation.
🔰 Zone Descriptions
🔴 Volatile blowout
🟠 Clean expansion
🟡 Passive or absorbed effort
🟢 Steady-state rhythm
🔵 Compression coil
🧐 Suggested Use
VoluTility is expressly designed as an overlay for sub-pane indicators, where it acts as a second-order rhythm map — exposing hidden structural pressure within volume or volatility streams. When paired with volume (like ZVOL or OBVX), it highlights when flow is expanding with intent versus fading into noise. When layered over volatility signals (like ATR Turbulence or WIRE), it reveals whether expansion has real effort behind it — or is just structural slack.
It pairs especially well with the Relative Directional Index (RDI), where its histogram and ribbon offer early exhaustion signals before traditional trend or momentum fades appear. On raw momentum tools, it acts as a filter: softening false breaks and confirming pressure-backed continuation.
Run on 15m or lower charts for early entry cues or breakout anticipation. On 1H charts, use it to validate compression resolution or detect fatigue before structure turns. It doesn’t react to price — it forecasts readiness.
Pino Trend Pack (SMA/EMA + Bollinger)🔹 Pino Trend Pack is a compact trend-following and volatility indicator that includes:
📈 Moving Averages:
- SMA 10, SMA 30
- EMA 21, EMA 55, EMA 89
(All configured for short-term to mid-term trend analysis by default, but fully adjustable for user preference.)
📊 Bollinger Bands:
- Period: 20
- Standard Deviation: 2.0
- Includes Upper Band, Lower Band, and Basis (SMA 20)
This pack is designed for traders who want a clean visual of price dynamics across multiple short-term trend layers, combined with volatility tracking. It helps you identify compression, expansion, and trend shifts at a glance.
🧠 Ideal for swing trading, short- to mid-term setups, or as a supporting tool in any confluence-based strategy.
Scalping Strategy with DCA - V2Strategy Overview
This advanced scalping strategy combines technical analysis with strategic Dollar Cost Averaging (DCA) for short-term crypto trading. It utilizes multiple indicators to identify high-probability entry points and implements a structured approach to position management with predefined risk controls.
Key Features
Multi-indicator confirmation system using EMA 48, RSI 14, MACD, and Bollinger Bands
Smart entry detection based on trend changes, price action, and divergence patterns
Fixed risk management limiting exposure to 1-3% of total account per trade
Structured DCA approach with 1-2-6 ratio for averaging down
Higher timeframe confirmation to avoid false signals
Preset take-profit levels at 0.5% and 1% for partial profit taking
Dynamic stop-loss adjustment with breakeven protection after securing profits
Trading Conditions
The strategy enters trades when all of the following conditions align:
Price crosses the EMA 48 in the intended direction
RSI confirms strength (>60 for longs, <40 for shorts)
MACD line crosses above/below signal line confirming momentum
Price is near previous support/resistance zones
RSI shows divergence at the 5th peak/trough
Higher timeframe confirms this is the 2nd pivot point
Risk Management
Initial risk limited to 1-3% of account
Position sizing follows 1-2-6 DCA ratio for averaging down
Stop loss set at 1-3% from entry, calculated in monetary terms
After full DCA deployment, stop loss updated to 1.3% from entry
Take profit at 0.5% (close 25%) and 1% (close 50%)
Stop loss moves to breakeven after second take profit hit
Best Trading Conditions
Use only on cryptocurrencies with large market capitalization
Trade coins with holder percentage above 7%
Best results in trending markets with clear support/resistance
Optimal on 5-minute to 1-hour timeframes for scalping
Implementation Notes
This strategy is designed for precision scalping in crypto markets. It combines volatility controls with trend-following techniques and systematic position management to maximize reward while strictly limiting risk exposure.
Puts vs Longs vs Price Oscillator SwiftEdgeWhat is this Indicator?
The "Low-Latency Puts vs Longs vs Price Oscillator" is a custom technical indicator built for TradingView to help traders visualize buying and selling activity in a market without access to order book data. It displays three lines in an oscillator below the price chart:
Green Line (Longs): Represents the strength of buying activity (bullish pressure).
Red Line (Puts): Represents the strength of selling activity (bearish pressure).
Yellow Line (Price): Shows the asset’s price in a scaled format for direct comparison.
The indicator uses price movements, volume, and momentum to estimate when buyers or sellers are active, providing a quick snapshot of market dynamics. It’s optimized for fast response to price changes (low latency), making it useful for both short-term and longer-term trading strategies.
How Does it Work?
Since TradingView doesn’t provide direct access to order book data (which shows real-time buy and sell orders), this indicator approximates buying and selling pressure using commonly available data: price, volume, and a momentum measure called Rate of Change (ROC). Here’s how it combines these elements:
Price Movement: The indicator checks if the price is rising or falling compared to the previous candlestick. A rising price suggests buying (longs), while a falling price suggests selling (puts).
Volume: Volume acts as a "weight" to measure the strength of these price moves. Higher volume during a price increase boosts the green line, while higher volume during a price decrease boosts the red line. This mimics how large orders in an order book would influence the market.
Rate of Change (ROC): ROC measures how fast the price is changing over a set period (e.g., 5 candlesticks). It adds a momentum filter—strong upward momentum reinforces buying signals, while strong downward momentum reinforces selling signals.
These components are calculated for each candlestick and summed over a short lookback period (e.g., 5 candlesticks) to create the green and red lines. The yellow line is simply the asset’s closing price scaled down to fit the oscillator’s range, allowing you to compare buying/selling strength directly with price action.
Why Combine These Elements?
The combination of price, volume, and ROC is intentional and synergistic:
Price alone isn’t enough—it tells you what happened but not how strong the move was.
Volume adds context by showing the intensity behind price changes, much like how order book volume indicates real buying or selling interest.
ROC ensures the indicator captures momentum, filtering out weak or random price moves and focusing on significant trends, similar to how aggressive order execution might appear in an order book.
Together, they create a balanced picture of market activity that’s more reliable than any single factor alone. The goal is to simulate the insights you’d get from an order book—where you’d see buy/sell imbalances—using data available in TradingView.
How to Use It
Setup:
Add the indicator to your chart via TradingView’s Pine Editor by copying and pasting the script.
Adjust the inputs to suit your trading style:
Lookback Period: Number of candlesticks (default 5) to sum buying/selling activity. Shorter = more responsive; longer = smoother.
Price Scale Factor: Scales the yellow price line (default 0.001). Increase for high-priced assets (e.g., 0.01 for indices like DAX) or decrease for low-priced ones (e.g., 0.0001 for crypto).
ROC Period: Candlesticks for momentum calculation (default 5). Shorter = faster response.
ROC Weight: How much momentum affects the signal (default 0.5). Higher = stronger momentum influence.
Volume Threshold: Minimum volume multiplier (default 1.5) to boost signals during high activity.
Reading the Oscillator:
Green Line Above Yellow: Strong buying pressure—price is rising with volume and momentum support. Consider this a bullish signal.
Red Line Above Yellow: Strong selling pressure—price is falling with volume and momentum support. Consider this a bearish signal.
Green/Red Crossovers: When the green line crosses above the red, it suggests buyers are taking control. When the red crosses above the green, sellers may be dominating.
Yellow Line Context: Compare green/red lines to the yellow price line to see if buying/selling strength aligns with price trends.
Trading Examples:
Bullish Setup: Green line spikes above yellow after a price breakout with high volume (e.g., DAX opening jump). Enter a long position if confirmed by other indicators.
Bearish Setup: Red line rises above yellow during a price drop with increasing volume. Look for a short opportunity.
Reversal Warning: If the green line stays high while price (yellow) flattens or drops, it could signal overbought conditions—be cautious.
What Makes It Unique?
Unlike traditional oscillators like RSI or MACD, which focus solely on price momentum or trends, this indicator blends price, volume, and momentum into a three-line system that mimics order book dynamics. Its low-latency design (short lookback and no heavy smoothing) makes it react quickly to market shifts, ideal for volatile markets like DAX or forex. The visual separation of buying (green) and selling (red) against price (yellow) offers a clear, intuitive way to spot imbalances without needing complex data.
Tips and Customization
Volatile Markets: Use a shorter lookback (e.g., 3) and ROC period (e.g., 3) for faster signals.
Stable Markets: Increase lookback (e.g., 10) for smoother, less noisy lines.
Scaling: If the green/red lines dwarf the yellow, adjust Price Scale Factor up (e.g., 0.01) to balance them.
Experiment: Test on your asset (stocks, crypto, indices) and tweak inputs to match its behavior.
Swift Trend Signals (MTF) [Atiloan]Atiloan Swift Trend Signals 🚀
Elevate your trend-following strategy with precision-engineered signals designed to provide fast and accurate decision-making across multiple timeframes.
Key Features:
Zero-Lag Trend Detection
Utilizes a Zero-Lag EMA (ZLEMA) to smooth price data and minimize delays, delivering more responsive trend signals.
Multi-Timeframe Signals
Displays trend signals across up to 5 different timeframes, ranging from 5 minutes to daily, in a clear and concise table.
Volatility-Based Bands
Adaptive upper and lower bands identify trend reversals while minimizing false signals, improving accuracy.
Custom Alerts
Receive real-time notifications for significant trend changes with customizable alert conditions.
Color-Coded Visualization
Bullish and bearish signals are clearly differentiated through color coding, simplifying chart analysis.
Full Customizability
Adjust EMA length, band multiplier, colors, and timeframe settings to align the tool with your trading strategy.
How to Use:
Add the Indicator
Add the indicator to your favorites by clicking the star icon.
Set your preferred EMA length and band multiplier.
Select your desired timeframes for comprehensive multi-timeframe analysis.
Monitor the Table & Chart
The table at the top-right will update with bullish or bearish signals across multiple timeframes.
Colored arrows on the chart highlight potential entry points when the price crosses the ZLEMA, confirmed by the volatility bands.
Enable Alerts
Set up real-time alerts to be notified immediately when trends shift, eliminating the need for constant chart monitoring.
How It Works:
The Zero-Lag EMA (ZLEMA) reduces data lag, providing accurate and timely moving averages for better trend detection.
Volatility Shifts are identified using the Average True Range (ATR), which generates upper and lower deviation bands. Price movements outside these bands signal potential trend changes.
The indicator consolidates trend data from up to five configurable timeframes and presents it in a concise table, making multi-timeframe analysis quick and efficient.
Visual Signals, such as upward and downward arrows on the chart, indicate potential entry or exit points based on trend alignment across timeframes.
This approach enables traders to make well-timed decisions, reduce lag-related risks, and enhance overall trading performance.
ZVOL — Z-Score Volume Heatmapⓩ ZVOL transforms raw volume into a statistically calibrated heatmap using Z-score thresholds. Unlike classic volume indicators that rely on fixed MA comparisons, ZVOL calculates how many standard deviations each volume bar deviates from its mean. This makes the reading adaptive across timeframes and assets, in order to distinguish meaningful crowd behavior from random volatility.
📊 The core display is a five-zone histogram, each encoded by color and statistical depth. Optional background shading mirrors these zones across the entire pane, revealing subtle compression or structural rhythm shifts across time. By grounding the volume reading in volatility-adjusted context, ZVOL inhibits impulsive trading tactics by compelling the structure, not the sentiment, to dictate the signal.
🥵 Heatmap Coloration:
🌚 Suppressed volume — congestion, coiling phases
🩱 Stable flow — early trend or resting volume
🏀 High activity — emerging pressure
💔 Extreme — possible climax or institutional print
🎗️ A dynamic Fibonacci-based 21:34-period EMA ribbon overlays the histogram. The fill area inverts color on crossover, providing a real-time read on tempo, expansion, or divergence between price structure and crowd effort.
💡 LTF Usage Suggestions:
• Confirm breakout legs when orange or red zones align with range exits
• Fade overextended moves when red bars appear into resistance
• Watch for rising EMAs and orange volume to front-run impulsive moves
• Combine with volatility suppression (e.g. ATR) to catch compression → expansion transitions
🥂 Ideal Pairings:
• OBVX Conviction Bias — to confirm directional intent behind volume shifts
• SUPeR TReND 2.718 — for directional filters
• ATR Turbulence Ribbon — to detect compression phases
👥 The OBVX Conviction Bias adds a second dimension to ZVOL by revealing whether crowd effort is aligning with price direction or diverging beneath the surface. While ZVOL identifies statistical anomalies in raw volume, OBVX tracks directional commitment using cumulative volume and moving average cross logic. Use them together to spot fake-outs, anticipate structure-confirmed breakouts, or time pullbacks with volume-based conviction.
🔬 ZVOL isn’t just a volume filter — it’s a structural lens. It reveals when crowd effort is meaningful, when it's fading, and when something is about to shift. Designed for structure-aware traders who care about context, not noise.
