OBV 背离识别器（日线专用）🟢 Bull Div：价格创新低，OBV 没有跟跌 → 吸筹信号
🔴 Bear Div：价格创新高，OBV 没有跟涨 → 出货信号
🟢 Bull Div: The price hits a new low, and OBV does not follow the decline → Accumulation signal
🔴 Bear Div: The price hits a new high, and OBV does not follow the rise → Selling signal
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Nifty Blitz - Educational Purposes OnlyDisclaimer:
This script is for educational and informational purposes only. It is not intended as financial advice or a recommendation to buy or sell any security. Trading and investing involve substantial risk, and you should always do your own research or consult with a qualified financial advisor before making any trading decisions. The author of this script is not responsible for any losses or damages arising from the use of this script.
Noxon Cycles Session High/Low Indicator
This powerful indicator automatically marks the Highs and Lows of the Asian, London, and New York trading sessions directly on your chart. It helps traders identify key liquidity zones, potential reversals, and breakout points with precision. Whether you're scalping or swing trading, this tool enhances your market structure analysis and timing for better entries and exits. Perfect for intraday strategies and institutional trading insights.
GME Bond Tracker [theUltimator5]This indicator tracks when GME 0.0% convertible notes, ticker GME6042202 sees trade volume and plots it on the chart.
This indicator is used to track bond-equity arbitrage between GME and the convertible notes. When the bonds trade, there is generally a large qualified contingent trade block at the same time, so the underlying stock volume can be matched against the bond trading.
This is used to help predict future movements of GME, as well as perform trend and reaction analysis on the bond/equity arbitrage events.
TuxTune - Dynamic Vertical LineVisual aid. The vertical line moves dynamically with the last candle of the selected time frame.
The middle of the line moves with the latest price.
The line range (height) can be set to any value to aid in quickly gauging the size of the candles without having to keep looking at the numbers on the vertical axis to determine how big the candles are.
Line width, color, and distance from the last candle can also be set.
The label can be turned off/on.
Gabriel's Crypto Cycle Master [Multi-Asset]🧠 Gabriel's Crypto Cycle Master
Gabriel’s Crypto Cycle Master is a comprehensive macro valuation tool designed to identify long-term accumulation and distribution zones for any crypto asset using custom on-chain and price-based models.
🔹 Fully Multi-Asset Support
Manually input full tickers from COINMETRICS, GLASSNODE, or INDEX to track:
Realized Market Cap
On-chain Supply
Total Transaction Volume
USD-denominated Price
🔹 Core Metrics Modeled
This script computes major macroeconomic valuation layers based on widely researched concepts:
Realized Price – Network's cost basis
Top Cap – 35× average historical cap
Delta Top – Gap between Realized Price and Average Cap
CVDD – Cumulative Value Days Destroyed
Terminal Price – Network floor based on age and velocity
Balanced Price – Realized minus Terminal (via regression)
🔹 Advanced Bands for Over/Undervaluation
Around Realized Price, this tool dynamically plots:
Golden Ratio Band (×φ) — "Warm Zone" undervaluation
Euler's e Band (×e) — "Caution Zone" deeper value
Pi Band (×π) — "Overheated" zone when crossed upward
🔹 Built-in Alerts
Alerts fire when:
Price crosses below or above any band
Price drops under Terminal Price
Price recovers above the network floor
🔹 Ideal For
Long-term crypto cycle investors
On-chain analysts
DCA accumulation and distribution timing
Macro-level Bitcoin or ETH valuation zones
⚙️ Setup
Manually enter tickers for Market Cap, Supply, Volume, and Price for your preferred crypto asset.
Adjust CVDD cap (21M for BTC, ~120M for ETH) if analyzing a different coin.
Enable/disable specific valuation layers and alert bands via checkboxes.
Built by OneWallStreetQuant | Dynamic adaptation by Gabriel
Published for educational and cycle analysis use — not financial advice.
Ideal for Daily Charts, since the estimate formula was created on that timeframe.
HTF Candle Overlay with Probability
Visualize Higher Timeframe Candles with Predictive Insights
This tool reconstructs higher-timeframe (HTF) candles using 1-minute bars and overlays them directly on your chart. It includes:
Wick + Body rendering for grouped HTF candles (e.g. 10m, 15m, etc.)
A dynamic label showing the probability of the current HTF candle closing bullish
Real-time updates and smart fading based on candle progress
Configurable colors for fills, outlines, and labels
🔧 Customizable Options:
Candle size (e.g. 10m, 15m)
Body fill and border color
Wick fill and border color
Label text/background color
Whether you're a scalper watching larger structure or a PA trader looking for confluence, this overlay gives you predictive insight where it matters: on the candle that's still forming.
round numberPurpose:
Draws multiple equidistant horizontal lines above and below a user-defined base price.
Input Parameters:
1. Base Price: Central reference price (default: 100.0)
2. Number of Lines: How many lines to draw above/below base price (default: 5 each)
3. Points Distance: Space between lines in points (default: 10 points)
4. Line Color: Customizable line color (default: blue)
5. Line Width: Adjustable thickness (1-4px, default: 1)
6. Show Labels: Toggle price labels on/off (default: on)
round numberPurpose:
Draws multiple equidistant horizontal lines above and below a user-defined base price.
Input Parameters:
1. Base Price: Central reference price (default: 100.0)
2. Number of Lines: How many lines to draw above/below base price (default: 5 each)
3. Points Distance: Space between lines in points (default: 10 points)
4. Line Color: Customizable line color (default: blue)
5. Line Width: Adjustable thickness (1-4px, default: 1)
6. Show Labels: Toggle price labels on/off (default: on)
Zero-Lag Forex Buy/Sell Indicatorsimple buy and sell It Works:
Hull Moving Average (HMA) – Smoother and faster than SMA/EMA, reducing lag.
RSI Filter – Avoids buying in overbought conditions or selling in oversold.
Breakout Confirmation – Ensures the price confirms a new high/low before signaling.
Usage:
Buy Signal (Green Triangle):
✅ Price above HMA
✅ RSI below 30 (oversold)
✅ Price breaks recent high (confirmation)
Sell Signal (Red Triangle):
✅ Price below HMA
✅ RSI above 70 (overbought)
✅ Price breaks recent low (confirmation)
How to Improve Further:
Add Volume Confirmation (if trading a currency with reliable volume data).
Use Multi-Timeframe Analysis (e.g., check if the trend aligns on H4 + H1).
Combine with Support/Resistance Levels for stronger entries.
RSI Cross MA Signals Only"RSI Cross MA Signals Only"
This indicator generates clean and minimal buy/sell signals based on RSI crossing above or below its simple moving average (SMA). A buy signal is shown when the RSI crosses above its moving average, and a sell signal is shown when it crosses below — but only once per trend direction to avoid repeated alerts.
It is recommended to use an RSI MA Length of 5 for faster signal response.
Buy Signal: RSI crosses above its MA and you are not already in a trade.
Sell Signal: RSI crosses below its MA and you are in a trade.
Designed to reduce signal noise and repainting.
Moving average with different timeThis script allowing you to plot up to 6 different types of moving averages (MAs) on the chart, each with customizable parameters such as type, length, source, color, and timeframe. It also allows you to set different timeframes for each moving average.
Key Features:
Multiple Moving Averages: You can add up to 6 different moving averages to your chart.
Each MA can be one of the following types: SMA, EMA, SMMA (RMA), WMA, or VWMA.
Custom Timeframes: Each moving average can be applied to a specific timeframe, giving you flexibility to compare different periods (e.g., a 50-period moving average on the 1-hour chart and a 200-period moving average on the 4-hour chart).
Customizable Inputs:
Type: Choose between SMA, EMA, SMMA, WMA, or VWMA for each MA.
Source: You can select the price data source (e.g., close, open, high, low).
Length: Set the number of periods (length) for each moving average.
Color: Each moving average can be assigned a specific color.
Timeframe: Customize the timeframe for each moving average individually (e.g., MA1 on 15-minute, MA2 on 1-hour).
User Interface:
The script includes a data window display for each moving average, allowing you to control whether to show each MA and configure its settings directly from the settings menu.
Flexible Use:
Toggle individual moving averages on and off with the show checkbox for each MA.
Customize each MA's parameters without affecting others.
Parameters:
MA Type: You can choose between different moving averages (SMA, EMA, etc.).
Source: Price data used for calculating the moving average (e.g., close, open, etc.).
Length: Defines the period (number of bars) for each moving average.
Color: Change the line color for each moving average for better visualization.
Timeframe: Set a different timeframe for each moving average (e.g., 1-day MA vs. 1-week MA).
Example Use Case:
You might use this indicator to track short-term, medium-term, and long-term trends by adding multiple MAs with different lengths and timeframes. For example:
MA1 (20-period) might be an SMA on a 1-hour chart.
MA2 (50-period) might be an EMA on a 4-hour chart.
MA3 (100-period) might be a WMA on a daily chart.
This setup allows you to visually track the market's behavior across different timeframes and better identify trends, crossovers, and other patterns.
How to Customize:
Show/Hide MAs: Enable or disable each moving average from the input menu.
Modify Parameters: Change the MA type, source, length, and color for each individual moving average.
Timeframes: Set different timeframes for each moving average for more detailed analysis.
With this Moving Average Ribbon, you get a versatile and visually rich tool to aid in technical analysis.
RSI Multi-Timeframe StatusThis multi-timeframe RSI status indicator provides a comprehensive overview of RSI conditions across four different timeframes (1-minute, 5-minute, 15-minute, and 1-hour) in a clean, organized table format.
The indicator features:
1. **Multi-timeframe RSI Analysis**: Tracks RSI values across four timeframes simultaneously
2. **RSI Trend Detection**: Shows whether each RSI is rising or falling compared to previous bars
3. **Visual Status Indicators**: Color-coded cells instantly show bullish (green), bearish (red), or neutral (gray) conditions
4. **Momentum Tracking**: Displays the numerical change in RSI values to show strength of momentum
5. **Summary Row**: Provides an at-a-glance overview of the overall market bias and trend direction
6. **Configurable Parameters**: Adjustable RSI length, threshold levels, and momentum period
The indicator is designed to help traders identify potential trade setups where multiple timeframes align in the same direction. When more timeframes show similar conditions (all bullish or all bearish) with consistent trend direction (all rising or all falling), it can signal stronger potential trade opportunities.
The status table appears in the top-right corner of your chart and updates in real-time, allowing you to monitor multi-timeframe RSI conditions without switching between timeframes.
sideways market for strangle📌 Description of "Sideways Market for Strangle" Script**
This **Pine Script** is designed to identify a **sideways market**, which is ideal for **option strangle strategies**. The script plots a **green signal** below the price chart when the market is in a low-volatility, non-trending phase.
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🔹 How It Works**
1️⃣ **RSI Condition (Measures Market Momentum)**
- The script uses a **Relative Strength Index (RSI) with a length of 11**.
- If **RSI is between 40 and 60**, the market is neither overbought nor oversold, indicating a range-bound or sideways trend.
2️⃣ **ADX Condition (Checks Trend Strength)**
- The **Average Directional Index (ADX)** is used to measure trend strength.
- If **ADX is below 25**, it confirms a weak trend.
- Additionally, ADX must be **lower than both DI+ and DI-**, ensuring that there’s no strong bullish or bearish momentum.
3️⃣ **Signal Plotting**
- When both conditions are met (RSI between 40-60 and ADX < 25 with ADX < DI+ & DI-), a **green shape appears below the price chart**.
- This signal suggests that the market is in a **sideways phase**, making it suitable for **strangle or non-directional option strategies**.
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🔹 Why Use This for a Strangle Strategy?**
- **Strangles perform best in a sideways market** where implied volatility is low.
- This indicator helps traders avoid **trending markets**, reducing risk.
- **Simple visualization** makes it easy to identify low-movement zones at a glance.
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🔹 How to Use in TradingView**
1. **Add this script** as a custom indicator.
2. **Look for green signals** appearing below candles.
3. When the signal appears, consider setting up a **strangle options strategy**.
4. Avoid trading when the market shows **strong trends** (RSI out of range or ADX above 25).
---
🚀 Summary**
✅ **Detects sideways markets for strangle strategies**
✅ **Uses RSI (11) & ADX (14) for confirmation**
✅ **Filters out trending conditions**
✅ **Easy-to-use signal for option traders**
90-Day Beta to BTCOverview:
The 90-Day Beta to BTC indicator measures the volatility of a specific token relative to Bitcoin (BTC) over the past 90 days. Beta is a widely used statistical measure in financial markets that indicates how much a token's price moves in relation to BTC. A higher beta means the token is more volatile compared to BTC, while a lower beta means it is less volatile or moves similarly to BTC.
How It Works:
This indicator calculates the daily logarithmic returns of both the token and Bitcoin, then computes the covariance between their returns and the variance of Bitcoin’s returns. The resulting Beta value reflects the degree to which the token’s price fluctuates relative to Bitcoin's price over the past 90 days.
Beta > 1: The token is more volatile than Bitcoin, showing higher price swings.
Beta = 1: The token moves in lockstep with Bitcoin, exhibiting similar volatility.
Beta < 1: The token is less volatile than Bitcoin, showing smaller price fluctuations.
Beta = 0: The token's price movement is uncorrelated with Bitcoin’s price.
Negative Beta: The token moves opposite to Bitcoin, indicating an inverse relationship.
Use Case:
This indicator is particularly useful for traders or investors looking to identify tokens with high speculative volatility. Tokens with Beta values above 1 are typically high-risk, high-reward assets, often driven by hype, social trends, or market speculation. Conversely, tokens with Beta values below 1 offer a more stable price relationship with Bitcoin, making them less volatile and potentially safer.
In the context of a Trash Token Tournament, tokens with a higher Beta (greater than 1) may be more attractive due to their heightened volatility and potential for larger price swings, making them the “wild cards” of the market.
Visual Representation:
The Beta value is plotted as a line chart beneath the main price chart, offering a visual representation of the token’s volatility relative to Bitcoin over the last 90 days. Spikes in Beta indicate periods of increased volatility, while drops suggest stability.
Volume and Volatility Ratio Indicator-WODI该指标名为“交易量与波动率比例指标-WODI”，主要基于交易量和价格波动率构造一个复合指数，帮助识别市场内可能存在的异常或转折信号。具体实现如下：
用户自定义参数
用户可以设置交易量均线长度（vol_length）、指数的短期与长期均线长度（index_short_length、index_long_length）、均线敏感度（index_magnification）、阈值放大因子（index_threshold_magnification）以及检测K线形态的区间（lookback_bars）。这些参数为后续计算提供了灵活性，允许用户根据不同市场环境自定义指标的敏感度和响应速度。
交易量均线与百分比计算
首先通过 ta.sma 计算指定长度的交易量简单均线（vol_ma）。
接下来，将当前交易量与均线进行比较，计算出当前交易量占均线的百分比（vol_percent），这反映了短期内交易量的相对活跃程度。
波动率的衡量
使用当前K线的最高价和最低价计算振幅，再除以收盘价乘以100得到波动率（volatility），从而反映市场价格波动的幅度。
构建交易量/波动率指数
将交易量百分比与波动率相乘，形成了“交易量/波动率指数”（volatility_index）。该指数能够同时反映市场的交易活跃度和价格波动性，两者的联合作用帮助捕捉市场的“热度”。
计算指标均线与阈值
对交易量/波动率指数分别计算短期均线（index_short_ma）和长期均线（index_long_ma），并通过乘以一个敏感度参数（index_magnification）进行调整。
同时，依据长期均线计算一个阈值（index_threshold），起到过滤噪音的作用。当指数突破该阈值时，可能预示着市场的重要变化。
K线形态与反转模式检测
通过遍历最近几根K线（由lookback_bars控制），指标会检测是否符合一系列预定条件（涉及交易量、价格振幅、K线形态等），以判断是否存在反转模式。若符合条件，则标记为反转模式，从而为潜在的转折点提供提示。
图表展示
最终在独立窗口中绘制多个元素：
指数短均线与长均线：经过敏感度调整后显示，用于分析指数趋势。
交易量/波动率指数：采用阶梯线风格绘制，直观展示指数变化。
阈值线：作为参考水平，便于判断指数是否突破常规范围。
交易量柱状图：当当前交易量高于均线时，通过不同颜色显示；当检测到反转模式时，颜色会进一步强化，帮助用户迅速识别潜在信号。
English Description
This indicator, titled “Volume and Volatility Ratio Indicator - WODI”, is designed to construct a composite index based on trading volume and price volatility, aiding in the identification of abnormal market conditions or potential reversal signals. Its functionality is broken down as follows:
User-Defined Parameters
The indicator allows users to set parameters such as the moving average length for volume (vol_length), the short and long moving average lengths for the index (index_short_length and index_long_length), a sensitivity multiplier (index_magnification), a threshold magnification factor (index_threshold_magnification), and the number of bars for pattern detection (lookback_bars). These parameters provide flexibility to adjust the sensitivity and responsiveness of the indicator based on different market conditions.
Volume Moving Average and Percentage Calculation
A simple moving average (SMA) of volume is computed over the specified length (vol_ma) using the ta.sma function.
The current volume is then compared to its moving average to calculate the volume percentage (vol_percent), reflecting the relative trading intensity in the short term.
Measuring Volatility
Volatility is calculated based on the current bar’s high and low prices, normalized by the closing price and multiplied by 100, which provides a measure of the market’s price fluctuation magnitude.
Constructing the Volume/Volatility Index
The index (volatility_index) is derived by multiplying the volume percentage by the calculated volatility. This composite metric reflects both market activity and price movement, effectively capturing the overall “heat” of the market.
Calculating the Index Moving Averages and Threshold
Two moving averages for the volatility_index are computed: one short-term (index_short_ma) and one long-term (index_long_ma). These are then adjusted by the sensitivity multiplier (index_magnification).
A threshold level (index_threshold) is calculated based on the long-term moving average multiplied by the threshold magnification factor, serving to filter out market noise. When the index exceeds this threshold, it may signal significant market shifts.
Detection of Reversal Patterns
The indicator iterates through the recent bars (as determined by lookback_bars) to check whether a set of predetermined conditions (involving trends in the volatility_index, volume comparisons, price closes, and K-line patterns) are met. If these conditions are satisfied, it flags a reversal pattern, which may serve as a warning for a potential market turnaround.
Visualization on the Chart
The final display includes several elements plotted in a separate indicator window:
The short-term and long-term moving averages of the index (after sensitivity adjustment) which help visualize the trend of the composite index.
The volatility index itself is drawn using a step-line style for clarity.
A threshold line is plotted to provide a reference level against which index movements can be compared.
A volume histogram is also displayed, where bars are colored differently when the current volume exceeds the moving average; the color is further enhanced if a reversal pattern is detected, making it easy for users to quickly spot potential signals.
Candle Pattern Signals - Global Lowest/HighestForex Indicator – Precision Tool for Smarter Trading
Unlock the full potential of your trading strategy with this powerful Forex indicator. Designed to identify high-probability trade setups, it combines real-time price action analysis with advanced technical algorithms. Whether you're a scalper, swing trader, or trend follower, this tool provides clear entry and exit signals to boost your performance. Compatible with all major currency pairs and optimized for MetaTrader 4/5. Take your trading to the next level – trade smarter, not harder.
DC History & Daily Cross CountOkay, here is a technical document for the Pine Script indicator we developed. This can be used as a guide or description when publishing the script on TradingView or elsewhere.
Technical Document: SMA Cross Signals & Static DC History (Death Cross)
Version: 1.0
Date: April 14, 2025
Indicator Name: Specific Static DC History + Live Signals
Pine Script Version: 5
1. Overview
This TradingView indicator is designed to provide traders with visual signals for Simple Moving Average (SMA) crossovers, specifically focusing on the "Death Cross", while also presenting relevant historical context via a static data table and a real-time daily cross counter.
It combines several features:
Plotting of a fast and a slow Simple Moving Average (SMA).
Visual identification and marking of "Death Cross" events (Fast SMA crossing below Slow SMA) directly on the price chart.
A customizable table displaying static, pre-defined historical performance data of the S&P 500 following specific Death Crosses that occurred between 2016 and 2022.
An optional label that counts the total number of SMA crosses (both Golden Crosses and Death Crosses) occurring during the current trading day/session, including extended hours if enabled by the user on their chart.
2. Features
Customizable SMA Lengths: User-defined periods for both the Fast (default 50) and Slow (default 200) SMAs.
Death Cross Signals: Clear visual markers (red triangles above the bar and optional background shading) when the Fast SMA closes below the Slow SMA.
Optional SMA Plotting: Ability to show or hide the SMA lines themselves.
Static Historical Performance Table: Displays fixed historical return data (1 Week, 1 Month, 3 Months, 6 Months, 1 Year) following specific S&P 500 Death Crosses that occurred on 1/11/2016, 12/7/2018, 3/30/2020, and 3/14/2022. Note: This data is static and does not change based on the current chart.
Customizable Table Position: User can select the on-screen corner for the data table.
Daily SMA Cross Counter: Optionally displays a label showing the cumulative number of times the Fast SMA has crossed above (Golden Cross) or below (Death Cross) the Slow SMA during the current trading day/session.
Extended Hours Compatibility: The Daily Cross Counter includes crosses from pre-market and after-hours sessions if the user has "Extended Trading Hours" enabled on their TradingView chart settings.
3. Technical Explanation
SMA Calculation: The script uses the built-in ta.sma(source, length) function, calculating the Simple Moving Average based on the close price of each bar for the user-defined fastLen and slowLen.
Death Cross Detection: A Death Cross is detected using ta.crossunder(fastMA, slowMA). This function returns true on the first bar where the value of fastMA is less than the value of slowMA, after previously being greater than or equal to it. The comparison is based on the calculated SMA values at the close of each bar.
Golden Cross Detection: Similarly, ta.crossover(fastMA, slowMA) is used to detect Golden Crosses for the daily counter.
Visual Signals: The plotshape() function draws a red triangle above the bar where deathCross is true. The bgcolor() function applies a transparent red background to the bar where deathCross is true.
Static Table Data: The historical performance data for the 4 specified dates (Jan 2016 - Mar 2022) is hardcoded into array variables within the script. This data was derived from a prior analysis (based on the initially provided image, source likely Dow Jones Market Data or similar) and is not calculated dynamically from the chart. The script iterates through these arrays and populates a table object on the last bar.
Daily Cross Counter:
A var int dailyCrossCount variable holds the count, ensuring persistence across bars within a day.
ta.change(time("D")) detects the start of a new daily session based on the chart's symbol and session settings. When true, the dailyCrossCount is reset to 0.
On each bar, if either deathCross or goldenCross is true, the dailyCrossCount is incremented.
A label object displays the dailyCrossCount and is updated on the last bar (barstate.islast).
Extended Hours Inclusion: The script inherently uses the data series provided by the chart. If the chart is configured to include Extended Trading Hours (ETH), the close prices used for SMA calculations will reflect ETH data, and crosses occurring during ETH will be detected and counted.
4. Settings (Inputs)
Show Static Data Table (2016-2022) (Checkbox): Toggles the visibility of the table containing the fixed historical performance data. (Default: On)
Table Position (Dropdown): Selects the corner or side of the chart where the static data table will be displayed. (Default: top_right)
Plot 50/200 SMAs (Checkbox): Toggles the visibility of the Fast and Slow SMA lines on the chart. (Default: On)
Fast MA Length (Integer Input): Sets the lookback period for the Fast Simple Moving Average. (Default: 50)
Slow MA Length (Integer Input): Sets the lookback period for the Slow Simple Moving Average. (Default: 200)
Show Daily Cross Count (Checkbox): Toggles the visibility of the label displaying the number of SMA crosses detected during the current day's session. (Default: On)
5. How to Use / Interpretation
Apply the indicator to your desired chart (e.g., SPY, QQQ, /ES).
Use the plotted SMA lines (if enabled) and the red triangle/background signals to identify potential trend changes indicated by Death Crosses based on your chosen MA lengths. Remember that these are lagging indicators.
Refer to the static data table for historical context only. It shows how the S&P 500 performed following specific Death Crosses between 2016 and 2022. This data is fixed and does not predict future performance.
Use the "Today's SMA Crosses" label (if enabled) to gauge the frequency of interaction between the chosen SMAs during the current session. A higher number might indicate choppier conditions or potential shifts on the chart's timeframe.
Important: For the Daily Cross Counter to reflect pre-market/after-hours activity, ensure "Extended Trading Hours" (ETH) is enabled in your TradingView chart settings.
Be aware that the number of crosses detected by the script (based on bar closes) may differ from visual interpretations of lines touching intraday, especially on lower timeframes.
6. Limitations
Static Table Data: The performance data in the table is fixed to the 4 provided historical instances (2016-2022) and is not calculated dynamically or updated. It serves only as a historical reference point.
Lagging Indicators: Moving Averages and their crosses are lagging indicators and may not signal trend changes precisely at tops or bottoms.
Cross Calculation: Crosses are based on the closing price of each bar. Intraday price movements briefly piercing an SMA may not register as a confirmed cross.
Daily Counter Definition: The definition of "Today" depends on the chart's session timing, which might not align perfectly with a calendar day.
Whipsaws: On lower timeframes or during volatile periods, MA crosses can generate frequent signals (whipsaws) which may be less reliable.
7. Disclaimer
This indicator is provided for informational and educational purposes only. It does not constitute financial advice or a recommendation to buy or sell any security. Trading involves significant risk, and past performance (including the historical data presented in the table) is not indicative of future results. Always conduct your own thorough research and consult with a qualified financial advisor before making any trading decisions.
OnePunch Algo Scalper V6OnePunch Algo Scalper V6 is a precision-built visual scalping tool designed to help traders identify high-probability reversal and momentum-based trade setups throughout the trading day.
This script highlights potential entry zones, intraday sentiment shifts, and real-time trade preparation cues through dynamic chart markers and an on-chart signal table — all without cluttering your chart.
It incorporates multi-timeframe market behavior, session-based filtering, and volume-informed momentum tracking to assist in making more informed buy or sell decisions.
⚡ Ideal for scalpers and intraday traders who need visual clarity and real-time confirmations without revealing underlying signal logic.
Core Features:
Precision-Tuned RSI Analysis: This algorithm lies the refined use of the Relative Strength Index (RSI), a popular momentum oscillator. The indicator capitalizes on specific RSI levels to identify potential buy and sell signals, offering a sophisticated approach to market entry and exit points.
Strategic Moving Average Integration: The tool harnesses the power of multiple Simple Moving Averages (SMAs), providing a multi-layered perspective on market trends. These averages serve as key indicators for decision-making, adding depth to the analysis.
Chaikin Money Flow (CMF) Utilization: Incorporating the Chaikin Money Flow, the indicator offers insights into market volume flow, enhancing the decision-making process with a volume-weighted approach to price movements.
Optimized Buy and Sell Triggers: The algorithm is fine-tuned to generate buy signals based on a confluence of favorable RSI and specific CMF conditions. Similarly, sell signals are derived from a strategic mix of RSI readings and trend analysis.
Enhanced Signal Clarity: The indicator plots clear, easily interpretable shapes on the chart, offering immediate visual cues for market entry and exit points. This feature aids traders in making swift, informed decisions.
Custom Alert System: Stay ahead of the market with personalized alerts. The indicator is equipped with a robust alert system, notifying traders of key market movements and potential trading opportunities.
User-Friendly Interface: Designed with the trader in mind, the "Scalper One Punch Algo" boasts a sleek, intuitive interface, ensuring a seamless integration into your trading routine.
Whether you're a seasoned trader or just starting, the "Scalper One Punch Algo" is tailored to elevate your trading strategy. Embrace the power of advanced technical analysis and step into a world of informed, strategic trading.
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What are the Alerts Included in this:
Buy Signal (Up Trend):
This alert triggers when the algorithm detects a potential upward trend in the market. Suggests a strong buying opportunity, as it combines momentum with volume flow analysis.
Sell Signal (Down Trend):
Typically indicating that the asset might be entering a downward trend or that the recent uptrend is losing momentum. It's a prompt to consider closing long positions or to initiate a short position, depending on your trading strategy.
Bottom Signal (Bottom Hit):
This alert suggests that the asset might have been oversold and could be due for a price increase. This signal is particularly useful for identifying entry points during market dips.
Day Sell Alert:
This alert is time-based and triggers every day. It's a reminder to review your positions at this specific time, which could be part of a daily routine or strategy. This alert doesn't necessarily correlate with market conditions but serves as a scheduled prompt for trading decisions.
Extreme Down Trend:
This alert suggests a strong downward trend is in progress. Possibly indicating a sharp sell-off or bearish sentiment in the market. This signal can be a warning to exit long positions or consider short selling.
Bearish
A "bearish" signal is represented by the color purple and indicates a bearish trend.
Trend Up
A "Trend Up" signal is represented by color darkish green and indicates a bullish trend for scalping or long takes.
Reversal
A "Reversal" signal is represented by the color light green for bear trend reversal upwards for a long or scalping.
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Background Colors Theory:
The background of the trading day is divided into 3 waves; we take each wave with a different color.
Session Highlights:
9:30 AM - 11:00 AM EST → Default Lime Green
12:00 PM - 2:00 PM EST → Default Aqua Blue
3:00 PM - 4:00 PM EST → Default Purple
Colors can be adjusted via input settings.
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Put/Call Reminder
We have added a reminder on the bottom right side when STOCH and MACD meet, we show the reminder for Puts or Calls preparation so that the user can prepare for the direction it takes. This feature is for Option Trades, but it works for Stocks as well.
Dynamic Adaptive Moving Average [Alpha Extract]Dynamic Adaptive Moving Average (DAMA) 📊
The Dynamic Adaptive Moving Average (DAMA) indicator is an adaptive technical tool that automatically discovers the optimal moving average period based on forward-looking price behavior. Unlike traditional fixed-length moving averages, this indicator continuously evaluates multiple timeframes to identify which MA length most accurately predicts future price movement, creating a responsive trend line that adapts to changing market conditions.
🔶 CALCULATION
The indicator employs a dynamic optimization algorithm to select the most effective moving average:
• Period Testing: Evaluates MA lengths from 5 to 100 periods to find the optimal timeframe
• Predictive Error: Measures each MA's accuracy by comparing it to the actual price 5 bars in the future
• Trend Weighting: Incorporates Rate of Change (ROC) to give higher priority to trend-following capabilities
• Error Minimization: Selects the MA length with the lowest weighted predictive error
• Smoothing: Applies an exponential smoothing factor (0.2) to prevent erratic changes in the trend line
🔶 DETAILS
Visual Features:
• Adaptive Trend Line: A yellow line representing the smoothed optimal moving average that dynamically adjusts its period
• Color-Coded Fills: Green areas when price is above the optimal MA (bullish), red when price is below (bearish)
• Opacity Gradient: Fill transparency provides visual context for the relationship between price and the trend line
• Real-Time Optimization Display: A table in the top-right corner shows the current optimal MA length
Interpretation:
• Bullish Signal: Price above the yellow DAMA line with green fill indicates upward momentum
• Bearish Signal: Price below the yellow DAMA line with red fill suggests downward pressure
• Trend Changes: Watch for crossovers between price and the DAMA for potential trend shifts
• Optimal Length Changes: Shorter optimal lengths may indicate trending markets, while longer lengths often appear in ranging conditions
🔶 EXAMPLES
The indicator demonstrates:
• Trend Identification: The DAMA hugs price more closely during trends while maintaining enough distance to filter noise
• Dynamic Adaptation: The MA length automatically adjusts shorter during strong trends and longer during consolidations
• Forward-Looking: By optimizing based on future price projection (5 bars), the indicator anticipates price movements better than traditional MAs
• Smooth Transitions: The smoothing algorithm prevents whipsaws while still allowing the MA to adapt to changing conditions
🔶 SETTINGS
Customization Options:
• Min/Max Length: Define the range of MA periods to test (default: 5-100)
• Step Size: Set the increment for testing different MA lengths (default: 1)
• Lookahead: Adjust the number of bars to project ahead for optimization (default: 5)
• Smoothing Factor: Control how quickly the MA adapts to new optimal lengths (default: 0.2)
The Dynamic Adaptive Moving Average (DAMA) indicator offers traders a sophisticated yet intuitive trend-following tool that eliminates the need to manually select MA periods.
Its self-optimizing algorithm continuously identifies the most effective moving average length based on actual price prediction accuracy, making it valuable for various trading strategies across different market environments and timeframes.
Gold Price with Time ShiftOverview
The "Gold Price with Time Shift" indicator allows you to visualize the Gold price (XAUUSD) with a customizable time shift, enabling you to lag or lead the data by a specified number of bars. Whether you're analyzing historical trends or projecting Gold’s price into the future, this indicator provides a flexible tool to align Gold price movements with other market indicators or events.
Features
Customizable Time Shift: Shift the Gold price backward (lag) or forward (lead) by a user-defined number of bars. Positive values lag the data, while negative values project it into the future.
Future Projection: When leading the Gold price (negative time shift), the indicator extends the chart into the future, displaying the last known price as a flat projection for easy comparison.
Daily Timeframe: Fetches Gold price data on a daily timeframe, ensuring consistency for long-term analysis.
User-Friendly Inputs: Easily adjust the Gold ticker and time shift via the settings panel to suit your analysis needs.
15Min Engulfing Break StrategyThe strategy involves the Engulfing Theory, Bullish and Bearish Engulfing patterns. Its specifically for 15 Minute chart. win ratio is 76%.
