Sessions with High/Low DiffThe main purpose of this indicator is to facilitate backtesting, but it may also be useful for traders to easily identify the current
active/open trading sessions on lower-timeframe charts.
This indicator also tracks the session high/low difference and plots it as a label on the last candle of the session once the last
bar of that session has finished printing and a new candle opened. The position and direction of the label is based on the
session open and close - if the session open is greater than the session close (which would equate to the equivalent of a red candle),
the label will be printed UNDER the last candle, and vice versa if the session close is above the session open.
The number printed inside the label is the difference between the session high and the session low, scaled to the minimum tick value of the chart.
Note #1: There is a Pinescript maximum of 500 labels allowed on any chart. While I could have gotten fancy and done some wizardry with label arrays,
I didn't really see a point to it. If labels are enabled for all 4 sessions at the same time, that would still have them available for the past 125
sessions, which would be about 6 months (approx 252 trading days per year, and this would cover 125 of them). If you limit to 2 sessions, you double
your potential look-back to almost a year (250 days out of the 252 average trading days each year), and for a single session, you double it yet again
to just under 2 years.
Note #2: As this indicator tracks open, high, low, and close for each session, it can potentially be enhanced (or forked) to construct "session candles".
I'm not sure what use this would be to anyone, but the pieces are there should someone find a use for it.
While it would be easy to add alerts on sessions opening/closing, I didn't see a purpose or value in that as it would be little more than a
glorified alarm clock. If I get enough demand to add them, I will gladly consider it.
在腳本中搜尋"track"
BTC Volatility Band StrategyThis script/strategy is a pullback system designed for securities with high volatility so naturally Bitcoin is an excellent choice for trading this. This could be used both on a daily chart or on lower timeframes (I found good results on 3hr timeframe but haven't tested it on anything under 1hr).
A volatility band is created by comparing the candle close price of the previous 2 candles and and it uses this change in price to create a moving average. A band is wrapped around the moving average with a standard deviation of 1 for the inner band and 2 for the outer band. If the price is above a pre-set MA (moving average filter) then it is determined we are in an uptrend so the strategy will issue a buy signal when we are in an uptrend and there is a pullback which causes the lower inner deviation band to be spiked, but if the price continues and falls through the outer deviation band then a buy signal will not issue as this detriments that the volatility spike is to great. You can see a spike "buy" event occur on the indicator where the background is coloured green. For a short/sell then there will be a spike on the upper inner band and we are below the pre-set MA filter, for this it shows with red background on the indicator.
The user can change the date range they wish to test, the moving average period for the volatility tracking and the inner and outer band deviations. On BTC I left the inner deviation and outer deviation bands on standard settings but found the 3 period volatility tracking to be good for trading 1 day chart and the 5 period volatility tracking good for the 3hr chart. Since this is not a buy and hold strategy then for trading you would probably want to stick with the most liquid coins so you can get in and out very fast on any exchange. If you wanted to tray this on less volatile markets then changing the inner deviation band to ~0.75 would work okay in various futures markets likely stocks as well. The take profit and stop loss levels are based on a multiple of the trading range looking back the past 7 candles.
Attached result is trading 1 BTCUSDT contract on Binance.
Bitmex BTC Perpetual PremiumThis script tracks the premium of the Bitcoin Perpetual futures at Bimex exchange relative to 3 different reference prices.
The difference between this script and already published scripts is that it tracks the premium relative to 3 different reference prices. This tends to produce slightly different results.
This script is also open source, so you can verify the calculations, or use it as a basis for your own script.
The 3 plots uses the following reference prices:
Blue Area:
Bitmex Index price, ticker: BITMEX:XBT
Red line:
Bitmex Perpetual Premium, ticker XBTUSDPI
(This one is not used as reference, but simply plots the ticker*100)
Orange line:
The reference here is a price calculated by the tickers in trading view based on the Bitmex indices with weighing as follows:
Bitstamp:28,81%
Bittrex:5,5%
Coinbase: 38,07%
Gemini: 7,34%
Kraken: 20,28
Please note that Bitmex changes the bases of its indices regularly. Bitmex might also "rule out" on of these exchanges if there is a short term problem.
Oil ETF VolumeDirexxion Daily has both 'bear' and 'bull' oil ETFs. This tracks the volume in both combined. It also tracks them individually: the bear ETF is the red line, and bull the green.
NOTE: the color of the volume bars is determined by whatever ticker you're currently looking at, and whether current close is gt/lt previous close. It is intended to be used while looking at the USOIL chart. The colors will be inverted if you're looking at the 'bear' ETF! as the higher closes will actually mean price is going down :D
Gabriel's MPT Moving Average RibbonGabriel's MPT Moving Average Ribbon is a cutting-edge, risk-adjusted technical analysis tool that fuses Modern Portfolio Theory (MPT) with adaptive moving average logic to dynamically guide market participants through bullish and bearish conditions.
This ribbon is not a simple MA crossover — it leverages Sharpe Ratio, Sortino Ratio, Omega Ratio, and Value at Risk (VaR) to scale and smooth each moving average using real-time probabilistic efficiency metrics. Combined, these elements create a volatility-weighted, risk-optimized visualization of market structure.
🔍 Core Features:
Multi-Ratio Adaptive Scaling: Moving averages are dynamically weighted by Omega Ratio, Sortino Stdev, Sharpe Winrate, and VaR conditions for smarter price tracking.
Volatility Engine: Supports multiple return models:
Close-to-Close
Parkinson
Garman-Klass
Rogers–Satchell
Yang–Zhang (default for highest accuracy)
Smart Ribbon Construction:
Blends 3 different MA types per ribbon (e.g., SMA, EMA, WMA) for each of the 4 ribbons
Supports WMA-style dynamic weighting using MPT-derived ratios
Sharpe Winrate Estimation: Uses CDF logic to project the probability of success given current Sharpe ratio.
Dynamic Risk Phase Detection (VaR):
Identifies Risk On, Risk Off, or Neutral states using a triple-model composite VaR framework.
🛎️ Alerts Included:
📈 Bullish Crossover Alert: MA #1 crossing above MA #2 with all ribbons aligned upward.
📉 Bearish Crossunder Alert: MA #1 crossing below MA #2 with all ribbons aligned downward.
📊 Omega Ratio Alert: Triggered when Omega exceeds 1 (profitable risk-adjusted reward).
⚠️ Omega Caution Alert: Triggered when Omega drops below 1.
🟢 Risk On Alert: Market enters a favorable, low-risk zone. Deep Value Zone for Long-Term Investing.
🔴 Risk Off Alert: Market enters a cautionary, high-risk phase.
🎯 Use Cases:
Trend Identification: MA ribbon alignment indicates momentum phases.
Risk-Tuned Entries/Exits: Combine ribbon crossovers with VaR/Ratio signals for confirmation.
Institutional Strategy Overlay: Ideal for portfolio managers integrating risk-adjusted technical overlays.
🧠 Pro Tips:
Use "Complete" mode for the most robust risk signal, as it blends Historical, EWMA, and Variance-Covariance ratios.
Customize each MA’s type and length to match your trading horizon (e.g., intraday, swing).
Toggle Ratios Weighted MA for adaptive weighting when market risk fluctuates.
It's set to the settings I use to trade, from MA settings to MPT table. It goes in order: Sharpe Est. Winrate, Deviation of Sortino, Omega Ratio (1 Year), and the Ideal position size according to VaR.
Custom Grid LinesThe Custom Grid Lines Indicator is a versatile tool designed for traders who want to manually define key price zones and visualize them with precision. This indicator allows users to select their own starting and ending price levels and automatically divides the range into user-defined grids using horizontal lines.
🔧 Key Features:
📍 User-Controlled Price Range:
Manually set the starting (bottom) and ending (top) price levels based on your trading plan, key zones, or market structure.
📊 Flexible Grid Setup:
Easily choose the number of grid lines to divide your selected range into equal price intervals.
📏 Automatic Grid Calculation:
The indicator calculates grid spacing and plots horizontal lines at each level, providing a clean and structured visual guide.
✅ Simple and Effective Visualization:
Ideal for grid trading, manual support/resistance plotting, or price zone tracking.
⚙️ How to Use:
Input the desired starting price (bottom of your range).
Input the ending price (top of your range).
Select the number of grids you want between these two levels.
The indicator will automatically draw all grid lines across your chart.
💡 Best For:
Grid Trading Strategies
Visualizing Custom Price Zones
Manual Support and Resistance Mapping
Session-Based Trading Ranges
New York Midnight Day SeparatorThis Pine Script indicator draws vertical separator lines on the chart at midnight in the New York timezone (Eastern Time). The lines mark the start of each new trading day from Monday to Friday, helping traders visually distinguish daily sessions based on New York market time. The separator lines are rendered as slightly transparent gray lines spanning the full price range of each midnight candle, providing a clean and unobtrusive visual aid for session tracking.
Volume Spike Alert & Overlay"Volume Spike Alert & Overlay" highlights unusually high trading volume on a chart. It calculates whether the current volume exceeds a user-defined percentage above the historical average and triggers an alert if it does. The information is also displayed in a customizable on-screen table.
What It Does
Monitors volume for each bar and compares it to an average over a user-defined lookback period.
Supports multiple smoothing methods (SMA, EMA, WMA, RMA) for calculating the average volume.
Triggers an alert when current volume exceeds the threshold percentage above the average.
Displays a table on the chart with:
Current Volume
Average Volume
Threshold Percentage
Optional empty row for spacing/formatting
How It Works
User Inputs:
lookbackPeriods: Number of bars used to calculate the average volume.
thresholdPercent: % above the average that triggers a volume spike alert.
smoothingType: Type of moving average used for volume calculation.
textColor, bgColor: Formatting for the display table.
tablePositionInput: Where the table appears on the chart (e.g., Bottom Right).
Toggles for showing/hiding parts of the table.
Volume Calculations:
Calculates current bar's volume.
Calculates average volume using the selected smoothing method.
Computes the threshold: avgVol * (1 + thresholdPercent / 100).
Compares current volume to threshold.
Table Display:
Dynamically creates a table with volume stats.
Adds rows based on user preferences.
Alerts:
alertcondition fires when currentVol crosses above the calculated threshold.
Message: "Volume Threshold Exceeded"
Usage Examples
Example 1: Spotting High Activity
Apply the script to a stock like AAPL on a 5-minute chart.
Set lookbackPeriods to 20 and thresholdPercent to 30.
Use EMA for more reactive volume tracking.
When volume spikes more than 30% above the 20-period EMA, an alert triggers.
Example 2: Day Trading Filter
For scalpers, apply it to a 1-minute crypto chart (e.g., BTC/USDT).
Set thresholdPercent to 50 to catch only strong surges.
Position the table at the top left and reduce visible info for a clean layout.
Example 3: Long-Term Context
On a daily chart, use SMA and set lookbackPeriods to 50.
Helps identify breakout moves supported by strong volume.
How this is different from Trading View's Volume indicator:
The standard volume plot from trading view allows users to set a alert when the average line is crossed, but it does not allow you to set a custom percentage at which to trigger an alert. This indicator will allow you to set any percentage you wish to monitor and above that percentage threshold will trigger your alert.
===== ORIGINAL DESCRIPTION =====
Volume Spike Alert & Overlay
This indicator will display the following as an overlay on your chart:
Current volume
Average Volume
Threshold for Alert
Description:
This indicator will display the current bar volume based on the chart time frame,
display the average volume based on selected conditions,
allow user selectable threshold over the average volume to trigger an alert.
Options:
Average lookback period
Smoothing type
Alert Threshold %
Enable / Disable Each Value
Change Text Color
Change Background Color
Change Table location
Add/Remove extra row for placement in top corner
Usage Example:
I use this indicator to alert when the current volume exceeds the average volume by a specified percentage to alert to volume spikes.
Set the threshold to 25% in the settings
Create an alert by clicking on the 3 dots on the right of the indicator title on the chart
When the threshold is exceeded the alert will trigger
RSI SwingRadar🧠 Strategy Overview
This long-only strategy combines RSI/MA crossovers with ATR-based risk management, designed for cleaner entries during potential bounce phases — especially tuned for assets like XMR/USDT.
🔍 Core Logic:
- RSI Crossover: Entry occurs when the 14-period RSI crosses above its 14-period SMA, signaling a potential shift in momentum.
- Oversold Filter: The RSI must have been below a user-defined oversold threshold (default: 35) on the previous candle, filtering for bounce setups after a pullback.
- ATR-Based Stop/Target: Stop-loss is placed below the low by a user-adjustable ATR multiplier (default: 0.5×). Take-profit is calculated with a Risk:Reward multiplier (default: 4×).
These elements work in tandem — RSI crossovers give momentum confirmation, oversold filtering adds context, and ATR-based exits adapt to volatility, creating a compact yet responsive strategy.
📉 Visuals:
- Dynamic Bands: The chart displays the active stop-loss, entry price, and take-profit as colored bands for easy visual tracking.
- Clean Overlay: Designed with simplicity — only confirmed setups are shown, keeping noise low.
✅ Suggested Use:
- Works best on XMR/USDT or similarly trending assets.
- Best suited for pullback entries during broader uptrends.
- Adjustable for different volatility conditions and asset behaviors.
⚠️ Disclaimer
- This strategy is for educational and research purposes only.
- It does not guarantee profitability in any market.
- Always backtest, forward-test, and understand your own risk tolerance before using any
strategy in a live environment.
- Past performance is not indicative of future results.
- This script is not financial advice.
Leslie's EMA Ribbon: 5/9/21 + VWAPEMA + VWAP Crossover Indicator with Alerts
This script blends three Exponential Moving Averages (5, 9, 21) with VWAP to identify momentum shifts and volume-confirmed trend signals. It’s optimized for the Daily timeframe, but also adaptable to shorter-term trading.
🔍 Why this combination?
EMAs provide fast and reliable trend signals:
- 5/9 EMA crossover → short-term shifts (more frequent)
- 9/21 EMA crossover → swing confirmation (less noise)
- VWAP adds volume context used by institutions for fair value tracking.
- 9EMA crossing VWAP confirms price action supported by volume.
Together, these tools offer a multi-layered view of market momentum — combining speed, confirmation, and conviction.
⚙️ Features:
Clean plots with dynamic labels on latest bar
Adjustable line weights for clarity
Alerts included for all crossovers:
- 5EMA / 9EMA
- 9EMA / 21EMA
- 9EMA / VWAP
✅ How to Use:
- Best on the Daily timeframe
- Use 5/9 as early signals, 9/21 for trend filtering, and 9/VWAP for volume-backed setups
- Turn on alerts to stay informed of key shifts without staring at charts
NIFTY Option Chain Table with Custom CE/PE Price FiltersThis Pine Script creates a powerful and visually organized option chain dashboard for NIFTY Index Options, showing 10 Call Options (CE) and 10 Put Options (PE), with real-time prices updated on a 5-minute chart.
You can filter and view only the most relevant option contracts based on your preferred price ranges, helping you make quick decisions for scalping, intraday, or positional trades.
🔍 How It Works:
You manually select up to 10 Call Option symbols and 10 Put Option symbols from NSE (e.g., NIFTY240530C18000, NIFTY240530P18000, etc.).
Keep that time options this are old options in defalt so there will be a error
The script fetches the real-time close price of each option using the request.security() function.
You define the minimum and maximum price range separately for Calls and Puts.
The script filters out any options that fall outside of your desired price range.
Only a limited number of matching options (as set by you) are displayed in the table for both Calls and Puts.
The table is shown at your preferred location on the chart (Bottom Right, Top Left, etc.).
✅ Features:
🔟 Supports exactly 10 CE and 10 PE options for tracking.
📈 Live price updates pulled directly from the chart timeframe (5-min).
🎯 Custom price filters for CE and PE (separate inputs).
📊 Show only the top X number of contracts that meet your filter criteria.
🧱 Vertical layout with clear headers and color-coded sections (green for Calls, red for Puts).
🎛️ Position the table wherever it's most convenient on your chart.
⚡ Helps you quickly spot low premium or range-bound options during the day.
📌 Use Case:
Ideal for:
Option scalpers and day traders who want to focus only on options within a specific price zone.
Traders who want to monitor multiple strikes simultaneously without clutter.
Users building custom NIFTY strategies based on option premiums.
Auto Trend Channel + Buy/Sell AlertsThis indicator automatically detects trend channels using a linear regression line, and dynamically plots upper and lower channel boundaries based on standard deviation. It helps traders identify potential Buy and Sell zones with clear visual signals and customizable alerts.
💡 How It Works:
🧠 Regression-Based Channel: Calculates the central trend line using ta.linreg() over a user-defined length.
📏 Dynamic Boundaries: Upper and lower channel lines are offset by a multiplier of the standard deviation for precision volatility tracking.
✅ Buy Signals: Triggered when price crosses above the lower boundary — potential bounce entry.
❌ Sell Signals: Triggered when price crosses below the upper boundary — potential reversal exit.
🔔 Alerts Enabled: Get real-time alerts when price touches the channel lines.
Quantum Flow Navigator @DaviddTechQuantum Flow Navigator – DaviddTech
Precision Strategy Builder Powered by Adaptive Filters, Statistical Noise Reduction & Multi-Modal Confirmation
🚀 Bullish Signal : Enter when ALMA, FluxWave, and QuickSilver all confirm bullish trend, with high volume and valid noise filter state.
🔻 Bearish Signal : Enter short when all components align bearishly and filters validate the signal.
🚪 Exit : Automatically managed by dynamic SL/TP or indicator-based reversal logic.
✅ Overview & DaviddTech Methodology
Quantum Flow Navigator is an advanced, multi-component trading system engineered around the strict modular logic of the DaviddTech methodology .
It integrates every core component required for a fully rule-based and signal-driven strategy—baseline, confirmations, volume filter, exit system, and noise filter.
Designed for traders who demand structure, clarity, and data-backed decision-making on 15M, 1H, and 4H charts.
🔍 Indicator Components
Baseline: Adaptive ALMA Filter
Smooth and responsive dynamic trend detection, with momentum validation and optional filled zones for enhanced visual feedback.
Confirmation #1: FluxWave Oscillator
Developed from an enhanced Trendlio concept by @dudeowns , FluxWave uses ALMA-smoothed rate-of-change logic with configurable signal behavior.
Confirmation #2: QuickSilver Band System
Custom breakout engine that maps volatility envelopes using multi-layered deviation bands for clear confirmation of structure breaks and trend direction.
Volume Filter: Normalized Volume Energy
Innovative volume filter inspired by @ceyhun 's work. Filters trades by classifying energy into High, Normal, or Low based on normalized volume context.
Exit System: Dynamic Momentum Stop Loss
Choose from Smart Adaptive, Trailing, Stepped, Percentage, ATR, or Volatility-adjusted logic. Supports TP via risk/reward, ATR multiples, or percentage targets.
Noise Filtration: Quantum Statistical Noise Reduction
Fuses Kalman smoothing with wavelet decomposition to eliminate non-signal noise and improve trade quality and confidence.
🎨 Visual System & Dashboard
🚀/🔻/🚪 Emoji Labels : Buy, sell, and exit trades clearly marked for instant recognition.
Color-Shifting Bars : Reflect FluxWave’s trend bias in real-time.
ALMA Fill Zone : Visual trend envelope between price and ALMA baseline.
QuickSilver Bands : Volatility envelopes with graduated depth for support/resistance awareness.
SL & TP Visuals : Dynamic stop-loss and take-profit zones plotted directly on chart.
Navigator Panel : In-chart dashboard displays real-time trend status, volume energy, noise filter state, signal strength, and active position tracking.
📈 How to Trade with It
Entry Mode Selection : Choose between Combined, ALMA, FluxWave, QuickSilver, or Custom scoring logic.
Final Signals : Trigger only when confirmations align, volume energy is valid, and noise is low.
Dashboard Summary : Use real-time signal display to validate entry strength.
Timeframes : 15M–1H recommended for swing/intraday setups; 5M–15M for automation.
💡 Advanced Features
Entry Strength Scoring: Composite weight of all active components + filters.
Cooldown System: Limits excessive signals in volatile periods.
Multiple Exit Strategies: SL & TP modes with optional indicator-based exits.
Statistical Filtering: Wavelet + Kalman combination optimizes entry confidence.
Full Alert Suite: Covers entries, exits, filter triggers, volume states, and more.
🧠 Suggested Strategy Usage
Wait for full confirmation from ALMA, FluxWave, and QuickSilver.
Ensure volume energy is High and noise filter confirms trend clarity.
Use adaptive SL/TP or indicator-based exits.
Monitor dashboard for live signal strength ≥ threshold.
Use “Balanced” mode for general use; switch to “Aggressive” for tighter signals.
📝 Credits & Originality
Concept based on DaviddTech’s component-driven methodology .
FluxWave Oscillator built as an evolved version of Trendlio with full signal customization — credit @dudeowns .
Volume Energy Filter adapted from the work of @ceyhun .
Noise filtration and system architecture developed independently using Pine Script v6.
All code and logic is original, non-rehashed, and completely refactored to ensure uniqueness.
Quantum Flow Navigator fuses adaptive baselines, confirmation logic, energy-based filters, and statistical refinement into a precision signal engine—optimized for traders who value structure, clarity, and control.
Step-Based Trailing Stop-Loss IndicatorThis indicator is built for momentum traders who want to maximize winning trades and minimize losses through a smart, step-based trailing stop-loss system. Instead of using a fixed Take Profit, this tool dynamically protects profits once the trade reaches a favorable RR (Risk-to-Reward) level.
How It Works:
Manual Entry Input
You enter your Entry Price and select Buy/Sell in the settings.
This flexibility allows backtesting or live trade tracking.
Initial Setup
Default SL: 50 ticks(Tested on us30,but works on any pair you just need to adjust SL)
TP for reference: 4R — can be used for benchmarking, but we don't limit profits with a hard TP.
Trailing Logic
Once price reaches 3R in profit:
The SL begins trailing.
It starts at 2R, keeping a 1R cushion behind the max profit.
For every 0.5R gain, SL also moves up by 0.5R:
Example: At 3.5R → SL is at 2.5R
At 5.0R → SL is at 4.0R
This trailing continues until the SL is hit or the trend exhausts.
Chart Features
🟧 Entry Line
🔴 Initial SL
🟢 Reference TP (4R, optional)
🟣 Dynamic Trailing SL
🏷️ Labels for Entry & SL levels
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.
Buffett Indicator with Historical Bubbles (Clean)The Buffett Indicator is a trusted macroeconomic gauge that compares the total US stock market capitalization to the nation’s GDP. Popularized by Warren Buffett, this metric highlights periods of overvaluation and undervaluation in the market.
This tool offers a clean and accurate visualization of the Buffett Indicator, enhanced with historical bubble annotations for key market events:
Dot-com Bubble (2000)
Global Financial Crisis Peak (2007)
COVID-19 Pre-crash Peak (2020)
Post-COVID Bull Market Peak (2021)
Features:
Dynamic Buffett Ratio (%) calculation using Wilshire 5000 Index as the market cap proxy.
Customizable GDP input for accuracy (update quarterly).
Visual thresholds for fair value, undervaluation, and overvaluation zones.
Historical event markers for educational and analytical context.
Optimized to display clearly across all timeframes: Daily, Weekly, Monthly.
How to Use:
Manually update the GDP input as new data is released.
Use this indicator for macro-level market sentiment analysis and valuation tracking.
Combine with other tools and risk management strategies for comprehensive market insights.
Disclaimer:
This indicator is for educational purposes only. It does not constitute financial advice. Always perform your own research and analysis.
Version: 1.0
we ask Allah reconcile and repay
#BuffettIndicator #MarketValuation #MacroAnalysis #BubbleDetector #LongTermInvestor #USMarket #Wilshire5000 #TradingViewScript
GQT GPT - Volume-based Support & Resistance Zones V2搞钱兔，搞钱是为了更好的生活。
Title: GQT GPT - Volume-based Support & Resistance Zones V2
Overview:
This strategy is implemented in PineScript v5 and is designed to identify key support and resistance zones based on volume-driven fractal analysis on a 1-hour timeframe. It computes fractal high points (for resistance) and fractal low points (for support) using volume moving averages and specific price action criteria. These zones are visually represented on the chart with customizable lines and zone fills.
Trading Logic:
• Entry: The strategy initiates a long position when the price crosses into the support zone (i.e., when the price drops into a predetermined support area).
• Exit: The long position is closed when the price enters the resistance zone (i.e., when the price rises into a predetermined resistance area).
• Time Frame: Trading signals are generated solely from the 1-hour chart. The strategy is only active within a specified start and end date.
• Note: Only long trades are executed; short selling is not part of the strategy.
Visualization and Parameters:
• Support/Resistance Zones: The zones are drawn based on calculated fractal values, with options to extend the lines to the right for easier tracking.
• Customization: Users can configure the appearance, such as line style (solid, dotted, dashed), line width, colors, and label positions.
• Volume Filtering: A volume moving average threshold is used to confirm the fractal signals, enhancing the reliability of the support and resistance levels.
• Alerts: The strategy includes alert conditions for when the price enters the support or resistance zones, allowing for timely notifications.
⸻
搞钱兔，搞钱是为了更好的生活。
标题： GQT GPT - 基于成交量的支撑与阻力区间 V2
概述：
本策略使用 PineScript v5 实现，旨在基于成交量驱动的分形分析，在1小时级别的图表上识别关键支撑与阻力区间。策略通过成交量移动平均线和特定的价格行为标准计算分形高点（阻力）和分形低点（支撑），并以自定义的线条和区间填充形式直观地显示在图表上。
交易逻辑：
• 进场条件： 当价格进入支撑区间（即价格跌入预设支撑区域）时，策略在没有持仓的情况下发出做多信号。
• 离场条件： 当价格进入阻力区间（即价格上升至预设阻力区域）时，持有多头头寸则会被平仓。
• 时间范围： 策略的信号仅基于1小时级别的图表，并且仅在指定的开始日期与结束日期之间生效。
• 备注： 本策略仅执行多头交易，不进行空头操作。
可视化与参数设置：
• 支撑/阻力区间： 根据计算得出的分形值绘制支撑与阻力线，可选择将线条延伸至右侧，便于后续观察。
• 自定义选项： 用户可以调整线条样式（实线、点线、虚线）、线宽、颜色及标签位置，以满足个性化需求。
• 成交量过滤： 策略使用成交量移动平均阈值来确认分形信号，提高支撑和阻力区间的有效性。
• 警报功能： 当价格进入支撑或阻力区间时，策略会触发警报条件，方便用户及时关注市场变化。
⸻
VIX bottom/top with color scale [Ox_kali]📊 Introduction
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The “VIX Bottom/Top with Color Scale” script is designed to provide an intuitive, color-coded visualization of the VIX (Volatility Index), helping traders interpret market sentiment and volatility extremes in real time.
It segments the VIX into clear threshold zones, each associated with a specific market condition—ranging from fear to calm—using a dynamic color-coded system.
This script offers significant value for the following reasons:
Intuitive Risk Interpretation: Color-coded zones make it easy to interpret market sentiment at a glance.
Dynamic Trend Detection: A 200-period SMA of the VIX is plotted and dynamically colored based on trend direction.
Customization and Flexibility: All colors are editable in the parameters panel, grouped under “## Color parameters ##”.
Visual Clarity: Key thresholds are marked with horizontal lines for quick reference.
Practical Trading Tool: Helps identify high-risk and low-risk environments based on volatility levels.
🔍 Key Indicators
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VIX (CBOE Volatility Index) : Measures market volatility and investor fear.
SMA 200 : Long-term trendline of the VIX, with color-coded direction (green = uptrend, red = downtrend).
Color-coded VIX Levels:
🔴 33+ → Something bad just happened
🟠 23–33 → Something bad is happening
🟡 17–23 → Something bad might happen
🟢 14–17 → Nothing bad is happening
✅ 12–14 → Nothing bad will ever happen
🔵 <12 → Something bad is going to happen
🧠 Originality and Purpose
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Unlike traditional VIX indicators that only plot a line, this script enhances interpretation through visual segmentation and dynamic trend tracking.
It serves as a risk-awareness tool that transforms the VIX into a simple, emotional market map.
This is the first version of the script, and future updates may include alerts, background fills, and more advanced features.
⚙️ How It Works
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The script maps the current VIX value to a range and applies the corresponding color.
It calculates a SMA 200 and colors it green or red depending on its slope.
It displays horizontal dotted lines at key thresholds (12, 14, 17, 23, 33).
All colors are configurable via input parameters under the group: "## Color parameters ##".
🧭 Indicator Visualization and Interpretation
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The VIX line changes color based on market condition zones.
The SMA line shows long-term direction with dynamic color.
Horizontal threshold lines visually mark the transitions between volatility zones.
Ideal for quickly identifying periods of fear, caution, or stability.
🛠️ Script Parameters
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Grouped under “## Color parameters ##”, the following elements are customizable:
🎨 VIX Zone Colors:
33+ → Red
23–33 → Orange
17–23 → Yellow
14–17 → Light Green
12–14 → Dark Green
<12 → Blue
📈 SMA Colors:
Uptrend → Green
Downtrend → Red
These settings allow users to match the script’s visuals to their preferred chart style or theme.
✅ Conclusion
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The “VIX Bottom/Top with Color Scale” is a clean, powerful script designed to simplify how traders view volatility.
By combining long-term trend data with real-time color-coded sentiment analysis, this script becomes a go-to reference for managing risk, timing trades, or simply staying in tune with market mood.
🧪 Notes
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This is version 1 of the script. More features such as alert conditions, background fill, and dashboard elements may be added soon. Feedback is welcome!
💡 Color code concept inspired by the original VIX interpretation chart by @nsquaredvalue on Twitter. Big thanks for the visual clarity! 💡
⚠️ Disclaimer
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This script is a visual tool designed to assist in market analysis. It does not guarantee future performance and should be used in conjunction with proper risk management. Past performance is not indicative of future results.
Premarket High/Low Breakout AlertsPremarket High/Low Breakout Alerts
Description: This custom TradingView indicator helps you track premarket breakouts and breakdowns for a list of selected stocks. The indicator monitors the premarket session and sends an alert every time the stock's price breaks above the premarket high or below the premarket low.
Key Features:
Track Multiple Stocks: Easily monitor multiple stocks (e.g., AAPL, TSLA, NVDA, etc.) and get alerts when they break premarket levels.
Premarket Session Monitoring: The indicator checks for price movements during the premarket session (4:00 AM to 9:30 AM EST).
Customizable Ticker List: Modify the list of tickers directly from the TradingView settings to suit your daily trading needs.
Breakout and Breakdown Alerts: Receive instant alerts for both breakout (above premarket high) and breakdown (below premarket low) conditions.
Plot Premarket Levels: The premarket high and low levels are plotted on the chart for easy reference.
How to Use:
Add this indicator to your chart.
Go to the indicator settings and input your desired stock tickers (e.g., AAPL, TSLA, MSFT).
The indicator will automatically track the premarket levels and send alerts when those levels are broken.
Customize the tickers daily if needed.
Ideal For:
Day Traders who want to track premarket movements.
Swing Traders looking for strong breakouts from premarket levels.
Scalpers who need quick alerts to catch price action early.
Lowess Channel + (RSI) [ChartPrime]The Lowess Channel + (RSI) indicator applies the LOWESS (Locally Weighted Scatterplot Smoothing) algorithm to filter price fluctuations and construct a dynamic channel. LOWESS is a non-parametric regression method that smooths noisy data by fitting weighted linear regressions at localized segments. This technique is widely used in statistical analysis to reveal trends while preserving data structure.
In this indicator, the LOWESS algorithm is used to create a central trend line and deviation-based bands. The midline changes color based on trend direction, and diamonds are plotted when a trend shift occurs. Additionally, an RSI gauge is positioned at the end of the channel to display the current RSI level in relation to the price bands.
lowess_smooth(src, length, bandwidth) =>
sum_weights = 0.0
sum_weighted_y = 0.0
sum_weighted_xy = 0.0
sum_weighted_x2 = 0.0
sum_weighted_x = 0.0
for i = 0 to length - 1
x = float(i)
weight = math.exp(-0.5 * (x / bandwidth) * (x / bandwidth))
y = nz(src , 0)
sum_weights := sum_weights + weight
sum_weighted_x := sum_weighted_x + weight * x
sum_weighted_y := sum_weighted_y + weight * y
sum_weighted_xy := sum_weighted_xy + weight * x * y
sum_weighted_x2 := sum_weighted_x2 + weight * x * x
mean_x = sum_weighted_x / sum_weights
mean_y = sum_weighted_y / sum_weights
beta = (sum_weighted_xy - mean_x * mean_y * sum_weights) / (sum_weighted_x2 - mean_x * mean_x * sum_weights)
alpha = mean_y - beta * mean_x
alpha + beta * float(length / 2) // Centered smoothing
⯁ KEY FEATURES
LOWESS Price Filtering – Smooths price fluctuations to reveal the underlying trend with minimal lag.
Dynamic Trend Coloring – The midline changes color based on trend direction (e.g., bullish or bearish).
Trend Shift Diamonds – Marks points where the midline color changes, indicating a possible trend shift.
Deviation-Based Bands – Expands above and below the midline using ATR-based multipliers for volatility tracking.
RSI Gauge Display – A vertical gauge at the right side of the chart shows the current RSI level relative to the price channel.
Fully Customizable – Users can adjust LOWESS length, band width, colors, and enable or disable the RSI gauge and adjust RSIlength.
⯁ HOW TO USE
Use the LOWESS midline as a trend filter —bullish when green, bearish when purple.
Watch for trend shift diamonds as potential entry or exit signals.
Utilize the price bands to gauge overbought and oversold zones based on volatility.
Monitor the RSI gauge to confirm trend strength—high RSI near upper bands suggests overbought conditions, while low RSI near lower bands indicates oversold conditions.
⯁ CONCLUSION
The Lowess Channel + (RSI) indicator offers a powerful way to analyze market trends by applying a statistically robust smoothing algorithm. Unlike traditional moving averages, LOWESS filtering provides a flexible, responsive trendline that adapts to price movements. The integrated RSI gauge enhances decision-making by displaying momentum conditions alongside trend dynamics. Whether used for trend-following or mean reversion strategies, this indicator provides traders with a well-rounded perspective on market behavior.
Average Daily Range ProjectionsCreates a trailing high and low projection based on the Average Daily Range.
Track the Session High and Low to determine the Daily Range.
Average the Daily Range by a fixed Period to create an Average Daily Range .
Track the Prior Daily Range .
Track the Current Daily Range .
Track the % of Range completion relative to the CDR & ADR(P).
From the Session Low, project an Average Daily Range High by adding the ADR.
From the Session High, project an Average Daily Range Low by subtracting the ADR.
When %R reaches 100% or greater, the ADR HI & LO will lock, showing the range break out or break down. As the Session High and Low create the Daily Range, observe the reaction of price as it reaches the limit of the expected daily range.
On strongly trending days, CDR is likely greater than PDR and ADR(P). Price can break away.
On ranging days, %R may fail to reach 100% and CDR may be lesser than PDR and ADR(P). Price can bounce around within the bounds of ADR HI & LO.
SMA with Std Dev Bands (Futures/US Stocks RTH)Rolling Daily SMA With Std Dev Bands
Upgrade your technical analysis with Rolling Daily SMA With Std Dev Bands, a powerful indicator that dynamically adjusts to your trading instrument. Whether you’re analyzing futures or US stocks during regular trading hours (RTH), this indicator seamlessly applies the correct logic to calculate a rolling daily Simple Moving Average (SMA) with customizable standard deviation bands for precise trend and volatility tracking.
Key Features:
✅ Automatic Instrument Detection– The indicator automatically recognizes whether you're trading futures or US equities and applies the correct daily lookback period based on your chart’s timeframe.
- Futures: Uses full trading day lengths (e.g., 1380 bars for 1‑minute charts).
- US Stocks (RTH): Uses regular session lengths (e.g., 390 bars for 1‑minute charts).
✅ Rolling Daily SMA (3‑pt Purple Line) – A continuously updated daily moving average, giving you an adaptive trend indicator based on market structure.
✅ Three Standard Deviation Bands (1‑pt White Lines) –
- Customizable multipliers allow you to adjust each band’s width.
- Toggle each band on or off to tailor the indicator to your strategy.
- The inner band area is color-filled: light green when the SMA is rising, light red when falling, helping you quickly identify trend direction.
✅ Works on Any Chart Timeframe – Whether you trade on 1-minute, 3-minute, 5-minute, or 15-minute charts, the indicator adjusts dynamically to provide accurate rolling daily calculations.
# How to Use:
📌 Identify Trends & Volatility Zones – The rolling daily SMA acts as a dynamic trend guide, while the standard deviation bands help spot potential overbought/oversold conditions.
📌 Customize for Precision – Adjust band multipliers and toggle each band on/off to match your trading style.
📌 Trade Smarter – The filled inner band offers instant visual feedback on market momentum, while the outer bands highlight potential breakout zones.
🔹 This is the perfect tool for traders looking to combine trend-following with volatility analysis in an easy-to-use, adaptive indicator.
🚀 Add Rolling Daily SMA With Std Dev Bands to your chart today and enhance your market insights!
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*Disclaimer: This indicator is for informational and educational purposes only and should not be considered financial advice. Always use proper risk management and conduct your own research before trading.*
JMA Quantum Edge: Adaptive Precision Trading System JMA Quantum Edge: Adaptive Precision Trading System - Enhanced Visuals & Risk Management
Get ready to experience a groundbreaking trading strategy that adapts in real-time to market conditions! This powerful, open-source script combines advanced technical analysis with state-of-the-art risk management tools, designed to give you the edge you need in today's dynamic markets.
What It Does:
Adaptive JMA Indicator:
Utilizes a custom Jurik Moving Average (JMA) that adjusts its sensitivity based on market volatility, ensuring you get precise signals even in the most fluctuating environments.
Dynamic Risk Management:
Features built-in support for partial exits (scaling out) to secure profits, along with an optional Kelly Criterion-based position sizing that tailors your exposure based on historical performance metrics.
Robust Error Handling:
Incorporates market condition filters—like minimum volume and maximum allowed gap percentage—to ensure trades are only executed under favorable conditions.
Vivid Visual Enhancements:
Enjoy an animated background that reflects market momentum, dynamic pivot markers, and clearly drawn trend channels. Plus, interactive tables provide real-time performance analytics and detailed error metrics.
Fully Customizable:
With a comprehensive set of inputs, you can easily tailor the strategy to your personal trading style and market preferences. Adjust everything from JMA parameters to refresh intervals for tables and labels!
How to Use It:
Add the Script:
Copy and paste the script into the Pine Script Editor on TradingView and click “Add to Chart.”
Configure Your Settings:
Customize your risk management (capital, commission, position sizing, partial exits, etc.) and tweak the JMA settings to match your preferred trading style. Use the extensive input panel to adjust visuals, alerts, and more.
Backtest & Optimize:
Run the strategy in the Strategy Tester to analyze its historical performance. Monitor real-time analytics and error metrics via the interactive tables, and fine-tune your parameters for optimal performance.
Go Live with Confidence:
Once you're satisfied with the backtest results, use the generated signals for live trading, and let the system help you stay ahead in fast-paced markets!
How to use the imputs:
This cutting-edge strategy is designed to adapt to changing market conditions and offers you complete control over your trading parameters. Here’s a breakdown of what each group of inputs does and how you should use them:
Risk Management & Trade Settings
Recalculate on Every Tick:
What it does: When enabled, the strategy recalculates on every price update.
Recommendation: Leave it true for fast charts.
Initial Capital:
What it does: Sets your starting capital for backtesting, which influences position sizing and performance metrics.
Recommendation: Start with $10,000 (or adjust according to your trading capital).
Commission (%):
What it does: Simulates the cost per trade.
Recommendation: Use a realistic rate (e.g., 0.04%).
Position Size & Quantity Type:
What they do: Define how large each trade will be. Choose between a fixed unit amount or a percentage of equity.
Recommendation: For beginners, the default fixed value is a good start. Experiment later with percentage-based sizing if needed.
Order Comment:
What it does: Adds a label to your orders for easier tracking.
Allow Reverse Orders:
What it does: If disabled, the strategy will close opposing positions before entering a new trade, reducing conflicts.
Enable Dynamic Position Sizing:
What it does: Adjusts trade size based on current volatility.
Recommendation: Beginners may start with this disabled until they understand basic sizing.
Partial Exit Inputs:
What they do:
Enable Partial Exits: When turned on, you can scale out of your position to lock in profits.
Partial Exit Profit (%): The profit percentage that triggers a partial exit.
Partial Exit Percentage: The percentage of your current position to exit. Recommendation: Use defaults (e.g., 5% profit, 50% exit) to secure profits gradually.
Kelly Criterion Option:
What it does: When enabled, adjusts your position sizing using historical performance (win rate and profit factor).
Recommendation: Beginners might leave this disabled until comfortable with backtest performance metrics.
Market Condition Filters:
What they do:
Minimum Volume: Ensures trades occur only when there’s sufficient market activity.
Maximum Gap (%): Prevents trading if there’s an unusually large gap between the previous close and current open. Recommendation: Defaults work well for most markets. If trades seem erratic, consider tightening these limits.
JMA Settings
Price Source:
What it does: The input series for the JMA calculation, typically set to the closing price.
JMA Length:
What it does: Controls the smoothing period of the JMA. Lower values are more sensitive; higher values smooth out the noise. Recommendation: Start with 21.
JMA Phase & Power:
What they do: Adjust how responsive the JMA is. Phase controls timing; power adjusts the intensity. Recommendation: Default settings (63 phase and 3 power) are a balanced starting point.
Visual Settings & Style
Show JMA Line, Pivot Lines, and Pivot Labels:
What they do: Toggle visual elements on your chart for easier signal identification.
Pivot History Count:
What it does: Limits how many historical pivot markers are displayed.
Color Settings (Up/Down Neon Colors):
What they do: Set the visual cues for buy and sell signals.
Pivot Marker & Line Style:
What they do: Choose the style and thickness of your pivot markers and lines.
Show Stats Panel:
What it does: Displays real-time performance and error metrics.
Dynamic Background & Visual Enhancements
Animate Background:
What it does: Changes the background color based on market momentum.
Show Trend Channels & Volume Zones:
What they do: Draw trend channels and highlight areas of high volatility/volume.
Show Data-Rich Labels:
What it does: Displays key metrics like volume, error percentage, and momentum on the chart.
High Volatility Threshold:
What it does: Determines the multiplier for when the chart background should change due to high volatility.
Multi-Timeframe Settings
Higher Timeframe:
What it does: Uses a higher timeframe’s JMA for trend confirmation. Recommendation: Use Daily ('D') or Weekly ('W') for broader trend analysis.
Show HTF Trend Zone & Opacity:
What they do: Display a visual zone from the higher timeframe to help confirm trends.
6. Trailing Stop Settings
Trailing Stop ATR Factor & Offset Multiplier:
What they do: Calculate trailing stops based on the Average True Range (ATR), adjusting stop distances dynamically. Recommendation: Default settings are a good balance but can be fine-tuned based on asset volatility.
Alerts & Notifications
Alerts on Pivot Formation & JMA Crossover:
What they do: Notify you when key events occur.
Dynamic Power Threshold:
What it does: Sets the sensitivity for dynamic alerts.
8. Static Stop Loss / Take Profit
Static Stop Loss (%) & Take Profit (%):
What they do: Allow you to set fixed stop loss or take profit levels. Recommendation: Leave them at 0 to disable if you prefer dynamic risk management, or set them if you have strict risk/reward preferences.
Advanced Settings
ATR Length:
What it does: Determines the period for ATR calculation, impacting trailing stop sensitivity. Recommendation: Start with 14.
Optimization Feedback & Enhanced Error Analysis
Error Metric Length & Error Threshold (%):
What they do: Calculate error metrics (like average error, skewness, and kurtosis) to help you fine-tune the JMA. Recommendation: Use the defaults and adjust if the error metrics seem off during backtesting.
UI - User-Driven Tweaking & Table Customization
Parameter Tweaker Panel, Debug/Performance Table Settings:
What they do: Provide interactive tables that display real-time performance, error metrics, and allow you to monitor strategy parameters.
Refresh Frequency Options (Table & Label Refresh Intervals):
What they do: Set how often the tables and labels update.
Recommendation: Start with an interval of 1 bar; increase it if your chart is too busy.
Important for Beginners:
Default Settings:
All default values have been chosen for balanced performance across different markets. If you ever experience unexpected behavior, start by resetting the inputs to their defaults.
Step-by-Step Adjustments:
Experiment by changing one setting at a time while observing how the strategy’s signals and performance metrics change. This will help you understand the impact of each parameter.
Resetting to Defaults:
If things seem off or you’re not getting the expected results, you can always reset the indicator. Either reload the script or use the “Reset Inputs” option (if available) to revert to the default settings.
Jump in, experiment, and enjoy the power of adaptive precision trading. This strategy is built to grow with your skills—have fun exploring and refining your trading edge!
Happy trading!
