VXN MACDThis indicator is based on other open source scripts. It's designed for Nasdaq futures (NQ or MNQ). It is a MACD indicator that generates buy/sell signals based on MACD crossovers, filtered by the VXN index direction to align with bullish or bearish trends.
Indicadores e estratégias
ConeWave MACoRa Wave is a custom-weighted moving average designed to adapt intelligently to market dynamics. It builds upon the foundational logic of the Comp_Ratio_MA by @redktrader, incorporating a compound ratio-based weighting curve that emphasizes recent price action while preserving smoothness and structure with pinescript version 6.
This version introduces modular enhancements, including:
A Comp Ratio Multiplier for fine-tuned responsiveness
Optional Auto Smoothing based on wave length
Streamlined plotting for clarity and performance
Whether you're confirming market structure, identifying trend shifts, or seeking a cleaner alternative to noisy indicators, CoRa Wave offers a visually intuitive and mathematically elegant solution.
🛠 Reimagined by @atulgalande75 — optimized for traders who value precision, adaptability, and clean charting. Original concept by @redktrader.
Traderei Sessions v.3.1Traderei Session v.3.1 will show the daily H/L from the last 24h + the daily open from the current day, the H/L from Asia/London/NY Session, including the 50% Level for Premium or Discount Price. You can also set 2 EMAs and 1 SMA.
default settings for EMA 20/50, SMA 200
VXN Darvas BoxThis indicator is based on other open source scripts. It's designed for Nasdaq futures (NQ or MNQ). It is based on the Darvas Box concept, plotting boxes to identify price breakouts, with buy/sell signals filtered by the VXN index direction to align with bullish or bearish trends.
Previous Day SweepThis indicator automatically detects and plots the highs and lows of previous trading days and tracks their breakouts in real-time. It allows traders to visualize key support and resistance levels from the last N days, highlighting breakouts with triangle markers.
Key Features:
Displays highs and lows of up to 20 previous days (configurable).
Highlights breakouts above previous highs and below previous lows.
Tracks breakouts for both the most recent day and older days.
Previous day levels are plotted with customizable colors, transparency, and line width.
Lines automatically extend until broken or until the current bar.
Helps identify liquidity sweeps, trend shifts, and potential breakout points.
Ideal For:
Day traders, swing traders, and algorithmic traders looking to monitor key daily levels and breakout points.
Forex Sessions(IST)📌 Forex Sessions (IST Version)
This indicator highlights the four major Forex market sessions — Asia, Frankfurt, London, and New York — automatically adjusted to Indian Standard Time (IST).
Session Timings in IST:
Asia: 02:30 – 10:30
🇩🇪 Frankfurt: 11:30 – 12:30
🇬🇧 London: 12:30 – 21:30
🇺🇸 New York: 17:30 – 02:30 (next day)
Trading Advantages:
Asia session → Spot the range high/low
Frankfurt → Detect inducement moves
London → Identify the main push/trend move
New York → Catch reversals & profit taking
Features:
Clean session highlights with custom colors
Optional tools: range, trendlines, mean, VWAP, max/min levels
Adjustable transparency and display settings
With this, you can easily track session overlaps, volatility shifts, and trade setups — all aligned with IST Forex timings.
iFVGs & Breakout DetectorThis indicator by Quantel enhances the classic Fair Value Gap (FVG) and Inversion FVG concept with automated detection, visualization, and breakout tracking.
Plots Bullish/Bearish FVGs and Inversion FVGs with customizable mitigation levels (Proximal, 50% OB, Distal).
Applies an advanced filtering system (Aggressive → Very Defensive) to refine valid zones.
Highlights potential trade opportunities when price decisively breaks an FVG boundary using ATR-based confirmation.
Displays visual breakout triangles to mark bullish or bearish breakouts.
Includes smart color themes (Light/Dark/Off) and full alert integration for automated trading or notifications.
With its combination of institutional concepts and robust filtering, this tool helps traders identify high-probability supply/demand imbalances, monitor valid trading zones, and catch breakout confirmations in real time.
VXN SupertrendThis indicator is based on other open source scripts. It's designed for Nasdaq futures (NQ or MNQ). It generates Supertrend-based buy/sell signals, filtered by the VXN index direction to eliminate signals that do not align with the VXN trend (bullish or bearish).
Real Close Overlay for Heiken AshiDescription:
The Real Close on Heiken Ashi indicator solves one of the biggest problems traders face when using Heiken Ashi candles, the fact that the displayed close is not the true market close.
By default, Heiken Ashi modifies the open, high, low, and close values to create smoother-looking candles. This makes them great for identifying trends, but it also means entries and exits can be misleading if you rely only on the chart.
This tool fixes that by overlaying the real closing price (traditional candlestick close) directly onto your Heiken Ashi chart.
How It Works:
- Plots the true closing price of each bar (from standard candles) onto your Heiken Ashi chart.
- Displays a small, unobtrusive marker (black dot by default) so you can instantly see where price actually closed. Not only does it plot the close, but it moves with real price as the candle is forming so price action is not lost.
- Updates in real time with every new bar.
Why It Matters:
- Use Heiken Ashi for trend clarity without losing price accuracy.
- Avoid entering/exiting based on inaccurate Heiken Ashi body closes.
- Improves stop-loss and take-profit placement by showing where price truly ended the candle.
- Essential for scalpers and short-term traders who need precision without losing true price action.
Best Uses:
- Combine with Heiken Ashi for momentum trading.
- Verify breakout confirmations against the real close.
- Use as an execution reference if you trade a HA-based system.
Disclaimer:
This script is for educational purposes only. It is open source and fully accessible. It does not provide financial advice. Always test thoroughly before applying to live markets.
ICT Killzones & Pivots indicatorIt marks out key trading sessions (Asia, London, New York AM, NY Lunch, NY PM) by drawing:
Killzone boxes (high/low of session)
Pivot lines (session highs and lows)
Labels (like LO.H, NYAM.L, etc.)
Day/Week/Month opens and separators
Custom timestamp markers
Here’s what’s happening in the code:
🔑 Key Features:
Configurable Killzones
Asia: 20:00 – 00:00 GMT-4
London: 02:00 – 05:00 GMT-4
NY AM: 09:30 – 11:00 GMT-4
NY Lunch: 12:00 – 13:00 GMT-4
NY PM: 13:30 – 16:00 GMT-4
Each session can show:
Colored boxes (range of session)
Pivot high/low lines
Labels like AS.H, LO.L
Alerts when levels break
Drawing Limits
max_days input controls how many past sessions are shown.
Prevents chart clutter.
Opening Price Lines
You can mark important open levels: true day open (00:00), 06:00, 10:00, 14:00.
Useful for ICT concepts like “open drive.”
Day/Week/Month Opens
Option to plot open price levels with labels (D.OPEN, W.OPEN, M.OPEN).
Can also show separators for each new day/week/month.
Alerts
Triggers when session highs or lows are broken.
Example: “Broke LO.H” if London high breaks.
Custom Timezones
Killzones are adjusted using the gmt_tz setting.
Default is GMT-4 (New York).
Cutoff Time
After a set time (default 12:00), extensions of session lines stop updating.
⚡ In practice:
Boxes highlight accumulation ranges (ICT killzones).
Pivot lines help track liquidity grabs (session high/low breaks).
Labels + alerts keep you notified of important market structure events.
Combined with ICT concepts, you’d look for setups like:
London killzone sweep of Asia range.
NY session taking liquidity above London high.
Secret bubbleSecret bubble
Why Might It Be Called "Bubbles"?
Although not officially named so, some traders or platforms might refer to Bollinger Bands as "bubbles" because:
The bands visually surround the price like a bubble.
During low volatility, the bands form a tight "bubble" around price.
Breakouts look like the price "popping out" of a bubble.
Hence, the nickname "пузырьки" (bubbles) could be a colloquial or visual metaphor for Bollinger Bands in Russian-speaking trading communities.
Conclusion
While there is no official technical indicator called "Bubbles", the term likely refers to Bollinger Bands due to their visual appearance and function. This powerful tool helps traders assess volatility, spot potential reversals, and time entries and exits. When combined with other analysis methods, Bollinger Bands remain a cornerstone of modern technical trading.
🔧 Tip: You can find Bollinger Bands on almost every trading platform (TradingView, MetaTrader, ThinkorSwim) by searching "Bollinger Bands" in the indicators list.
ForecastForecast (FC), indicator documentation
Type: Study, not a strategy
Primary timeframe: 1D chart, most plots and the on-chart table only render on daily bars
Inspiration: Robert Carver’s “forecast” concept from Advanced Futures Trading Strategies, using normalized, capped signals for comparability across markets
⸻
What the indicator does
FC builds a volatility-normalized momentum forecast for a chosen symbol, optionally versus a benchmark. It combines an EWMAC composite with a channel breakout composite, then caps the result to a common scale. You can run it in three data modes:
• Absolute: Forecast of the selected symbol
• Relative: Forecast of the ratio symbol / benchmark
• Combined: Average of Absolute and Relative
A compact table can summarize the current forecast, short-term direction on the forecast EMAs, correlation versus the benchmark, and ATR-scaled distances to common price EMAs.
⸻
PineScreener, relative-strength screening
This indicator is excellent for screening on relative strength in PineScreener, since the forecast is volatility-normalized and capped on a common scale.
Available PineScreener columns
PineScreener reads the plotted series. You will see at least these columns:
• FC, the capped forecast
• from EMA20, (price − EMA20) / ATR in ATR multiples
• from EMA50, (price − EMA50) / ATR in ATR multiples
• ATR, ATR as a percent of price
• Corr, weekly correlation with the chosen benchmark
Relative mode and Combined mode are recommended for cross-sectional screens. In Relative mode the calculation uses symbol / benchmark, so ensure the ratio ticker exists for your data source.
⸻
How it works, step by step
1. Volatility model
Compute exponentially weighted mean and variance of daily percent returns on D, annualize, optionally blend with a long lookback using 10y %, then convert to a price-scaled sigma.
2. EWMAC momentum, three legs
Daily legs: EMA(8) − EMA(32), EMA(16) − EMA(64), EMA(32) − EMA(128).
Divide by price-scaled sigma, multiply by leg scalars, cap to Cap = 20, average, then apply a small FDM factor.
3. Breakout momentum, three channels
Smoothed position inside 40, 80, and 160 day channels, each scaled, then averaged.
4. Composite forecast
Average the EWMAC composite and the breakout composite, then cap to ±20.
Relative mode runs the same logic on symbol / benchmark.
Combined mode averages Absolute and Relative composites.
5. Weekly correlation
Pearson correlation between weekly closes of the asset and the benchmark over a user-set length.
6. Direction overlay
Two EMAs on the forecast series plus optional green or red background by sign, and optional horizontal level shading around 0, ±5, ±10, ±15, ±20.
⸻
Plots
• FC, capped forecast on the daily chart
• 8-32 Abs, 8-32 Rel, single-leg EWMAC plus breakout view
• 8-32-128 Abs, 8-32-128 Rel, three-leg composite views
• from EMA20, from EMA50, (price − EMA) / ATR
• ATR, ATR as a percent of price
• Corr, weekly correlation with the benchmark
• Forecast EMA1 and EMA2, EMAs of the forecast with an optional fill
• Backgrounds and guide lines, optional sign-based background, optional 0, ±5, ±10, ±15, ±20 guides
Most plots and the table are gated by timeframe.isdaily. Set the chart to 1D to see them.
⸻
Inputs
Symbol selection
• Absolute, Relative, Combined
• Vs. benchmark for Relative mode and correlation, choices: SPY, QQQ, XLE, GLD
• Ticker or Freeform, for Freeform use full TradingView notation, for example NASDAQ:AAPL
Engine selection
• Include:
• 8-32-128, three EWMAC legs plus three breakouts
• 8-32, simplified view based on the 8-32 leg plus a 40-day breakout
EMA, applied to the forecast
• EMA1, EMA2, with line-width controls, plus color and opacity
Volatility
• Span, EW volatility span for daily returns
• 10y %, blend of long-run volatility
• Thresh, Too volatile, placeholders in this version
Background
• Horizontal bg, level shading, enabled by default
• Long BG, Hedge BG, colors and opacities
Show
• Table, Header, Direction, Gain, Extension
• Corr, Length for correlation row
Table settings
• Position, background, opacity, text size, text color
Lines
• 0-lines, 10-lines, 5-lines, level guides
⸻
Reading the outputs
• Forecast > 0, bullish tilt; Forecast < 0, bearish or hedge tilt
• ±10 and ±20 indicate strength on a uniform scale
• EMA1 vs EMA2 on the forecast, EMA1 above EMA2 suggests improving momentum
• Table rows, label colored by sign, current forecast value plus a green or red dot for the forecast EMA cross, optional daily return percent, weekly correlation, and ATR-scaled EMA9, EMA20, EMA50 distances
⸻
Data handling, repainting, and performance
• Daily and weekly series are fetched with request.security().
• Calculations use closed bars, values can update until the bar closes.
• No lookahead, historical values do not repaint.
• Weekly correlation updates during the week, it finalizes on weekly close.
• On intraday charts most visuals are hidden by design.
⸻
Good practice and limitations
• This is a research indicator, not a trading system.
• The fixed Cap = 20 keeps a common scale, extreme moves will be clipped.
• Relative mode depends on the ratio symbol / benchmark, ensure both legs have data for your feed.
⸻
Credits
Concept inspired by Robert Carver’s forecast methodology in Advanced Futures Trading Strategies. Implementation details, parameters, and visuals are specific to this script.
⸻
Changelog
• First version
⸻
Disclaimer
For education and research only, not financial advice. Always test on your market and data feed, consider costs and slippage before using any indicator in live decisions.
Liquidity Hunt IndicatorThis indicator automatically detects liquidity pools formed by swing highs and lows using fractal logic. It draws potential buy-side and sell-side liquidity levels (top/bottom lines) and dynamically updates them as price evolves.
White lines = pending liquidity levels (untested).
Red lines = liquidity taken from above (buy-side liquidity sweep).
Green lines = liquidity taken from below (sell-side liquidity sweep).
Alerts trigger when price breaks a liquidity line.
This tool helps traders track where liquidity might be resting and visualize when price sweeps it — useful for smart money concepts (SMC), ICT-style trading, and liquidity-based strategies.
VXN UT Bot AlertsThis indicator is based on other open source scripts. It's designed for use with Nasdaq futures (NQ or MNQ). It generates buy/sell signals based on a trailing stop mechanism, filtered by the VXN index direction to eliminate signals that do not align with the VXN trend (bullish or bearish).
NY Open 15-Minute Range - Current Day OnlyV1.0
This script shows the NY opening range for the first 15 min overlayed on the chart. This is only for the current day.
Fractal High/Low/Mid MTF (3 Timeframes)Multi Time Frame Fractal High/Low/Midlines
Note:
No guarantee or warranty. Use at your own risk. Happy trading.
Relative Strength Heat [InvestorUnknown]The Relative Strength Heat (RSH) indicator is a relative strength of an asset across multiple RSI periods through a dynamic heatmap and provides smoothed signals for overbought and oversold conditions. The indicator is highly customizable, allowing traders to adjust RSI periods, smoothing methods, and visual settings to suit their trading strategies.
The RSH indicator is particularly useful for identifying momentum shifts and potential reversal points by aggregating RSI data across a range of periods. It presents this data in a visually intuitive heatmap, with color-coded bands indicating overbought (red), oversold (green), or neutral (gray) conditions. Additionally, it includes signal lines for overbought and oversold indices, which can be smoothed using RAW, SMA, or EMA methods, and a table displaying the current index values.
Features
Dynamic RSI Periods: Calculates RSI across 31 periods, starting from a user-defined base period and incrementing by a specified step.
Heatmap Visualization: Displays RSI strength as a color-coded heatmap, with red for overbought, green for oversold, and gray for neutral zones.
Customizable Smoothing: Offers RAW, SMA, or EMA smoothing for overbought and oversold signals.
Signal Lines: Plots scaled overbought (purple) and oversold (yellow) signal lines with a midline for reference.
Information Table: Displays real-time overbought and oversold index values in a table at the top-right of the chart.
User-Friendly Inputs: Allows customization of RSI source, period ranges, smoothing length, and colors.
How It Works
The RSH indicator aggregates RSI calculations across 31 periods, starting from the user-defined Starting Period and incrementing by the Period Increment. For each period, it computes the RSI and determines whether the asset is overbought (RSI > threshold_ob) or oversold (RSI < threshold_os). These states are stored in arrays (ob_array for overbought, os_array for oversold) and used to generate the following outputs:
Heatmap: The indicator plots 31 horizontal bands, each representing an RSI period. The color of each band is determined by the f_col function:
Red if the RSI for that period is overbought (>threshold_ob).
Green if the RSI is oversold (
Primitive Delta DivergencePrimitive Delta Divergence
This indicator detects volume-price divergences by analyzing the relationship between price direction and volume bias over a rolling lookback period, revealing potential momentum shifts before they become apparent in price action alone.
Instead of relying solely on price movements, you can identify moments when volume sentiment contradicts price direction — a core concept borrowed from footprint chart analysis, adapted for traditional bar charts.
For example, when price moves higher but volume is predominantly bearish, or when price declines while volume shows bullish accumulation.
🔹 How it works
Lookback Period (n) → defines the rolling window for analyzing price and volume relationships
Creates a "meta-candle" from the lookback period, comparing its open vs. close for price bias
Volume classification → separates each bar's volume into bullish (green candles), bearish (red candles), or neutral (doji candles)
Volume bias calculation → generates a continuous score (-1 to +1) representing the directional volume pressure
Plots divergence signals when price direction and volume bias disagree
🔹 Use cases
Spot early momentum exhaustion when price and volume move in opposite directions
Identify potential reversal zones where volume suggests underlying weakness or strength
Enhance entry/exit timing by incorporating volume-based confirmation alongside price action
Apply footprint-style analysis to any timeframe without specialized charting tools
✨ Primitive Delta Divergence reveals the hidden story volume tells about price, uncovering divergences that traditional indicators might miss.
PINAKI__RSI M/W/D/H/15 (Top Right, Padding)display monthly, weekly, daily, 1Hr, 15Min RSI in single frame
Guru Tandav ShortGuru Tandav Short is a price-action + momentum based short selling indicator designed for intraday.
⚡ Designed for intraday short trades but can also be applied to higher timeframes for swing setups.
Traders Reality MT4 Sessions V2Bigger project for near future
Added option to adjust table size.
visit tradersreality.com for all information
original creators is mentioned in code
David Dang - Scalp M15/H1 (BTC/USDT)The Scalp Buy/Sell Volume + Support Resistance indicator is designed for traders who like short-term trading (scalping). The tool combines EMA trends, money flow strength (volume) and important support - resistance zones to give entry/exit signals.
Green arrow (BUY): When the price crosses EMA, the volume increases and holds the support zone.
Red arrow (SELL): When the price is below EMA, the volume increases and fails at the resistance zone.
Displayed with EMA, support - resistance lines for traders to easily observe the trend.