Akash Candle 0.5%Hello Folks
This is the indicator for identifying the candle size having hihg - low <0.5%
Use it good
Indicatori e strategie
SFT ChartPowerRSIThis RSI indicator from SixFourTrading (SFT) is not your typical indicator. It give the edge on additional confluence to your trading strategy. Signals and Alerts to give you the knowledge to make quick decisions for your trading strategy. It's time to step up your game! Subscribe Now!
RSI Indicator
Two SFT Moving Averages SLOW and FAST
Moving Average Cloud for Bullish or Bearish Detection
MA Bullish/Buy and Bearish/Sell Signals
RSI Pro Sell and Buy Signals
RSI Overbought and Oversold Cloud
RSI Overbought and Oversold Indicators
Fully Customizable
SMA or EMA Plots
Adjustable RSI High/Low Range
Adjustable RSI Timeframes
RSI Customizable Alerts
MA Customizable Alerts
Consistent, Reliable Strategy Indicator so you can focus on trading and let the system do the alerting for you
Signals to Enter Long or Short
Regular Updates on New Features Area
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Inside Bar & High Volatility BarsIndicator that Marks
1) Inside Bar (which neither break High or Low of the last previous candle)
2) High Volatile Bars (which break both High and Low of the last previous candle)
TEMA Pressure+DivergenceTEMA Divergence + Pressure indicators feature the best of both TEMA indicators in one indicator, providing effective management of your charts for the auxiliary TEMA studies which are crucial in the decision-making process of taking directional entries.
Both indicators combined offer a sense of strength and directionality of current conditions. 55 is an optimal lookback, although 28 can be used for faster response if preferred.
Comparative volume of supply and demand A comparative volume of supply and demand with volume MA and an indicator of a possible change in trend based on the closing of the candles
Global M2 by Colin Talks Crypto // Days Offset =// This Pine Script® code is subject to the terms of the Mozilla Public License
//@version=6
indicator(title = "Global M2 10-Week Lead (for bitcoin)", shorttitle = 'Global M2', overlay=true, scale=scale.left)
// Slide weeks input (in weeks)
slide_weeks = input.int(defval=10, title="Slide Weeks Forward", minval=0, maxval=52, tooltip="Number of weeks to slide the indicator forward")
// Enable settings for each country's M2
usa_active = input(true, title = "USM2 (USA Money Supply)")
europe_active = input(true, title = "EUM2 (Eurozone Money Supply)")
china_active = input(true, title = "CNM2 (China Money Supply)")
japan_active = input(true, title = "JPM2 (Japan Money Supply)")
uk_active = input(true, title = "UKM2 (United Kingdom Money Supply)")
canada_active = input(true, title = "CAM2 (Canada Money Supply)")
australia_active = input(true, title = "AUM3 (Australia Money Supply)")
india_active = input(true, title = "INM2 (India Money Supply)")
korea_active = input(true, title = "KRM2 (South Korea Money Supply)")
brazil_active = input(true, title = "BRM2 (Brazil Money Supply)")
russia_active = input(true, title = "RUM2 (Russia Money Supply)")
switzerland_active = input(true, title = "CHM2 (Switzerland Money Supply)")
mexico_active = input(true, title = "MXM2 (Mexico Money Supply)")
indonesia_active = input(true, title = "IDM2 (Indonesia Money Supply)")
turkey_active = input(true, title = "TRM2 (Turkey Money Supply)")
saudi_active = input(true, title = "SAM2 (Saudi Arabia Money Supply)")
argentina_active = input(true, title = "ARM2 (Argentina Money Supply)")
southafrica_active = input(true, title = "ZAM2 (South Africa Money Supply)")
// Daily timeframe for economic data
tf = "D"
// Get M2 data for each country and convert to USD
us_m2 = usa_active ? request.security("ECONOMICS:USM2", tf, close) : 0
eu_m2 = europe_active ? request.security("ECONOMICS:EUM2", tf, close) * request.security("FX_IDC:EURUSD", tf, close) : 0
china_m2 = china_active ? request.security("ECONOMICS:CNM2", tf, close) * request.security("FX_IDC:CNYUSD", tf, close) : 0
japan_m2 = japan_active ? request.security("ECONOMICS:JPM2", tf, close) * request.security("FX_IDC:JPYUSD", tf, close) : 0
uk_m2 = uk_active ? request.security("ECONOMICS:GBM2", tf, close) * request.security("FX_IDC:GBPUSD", tf, close) : 0
canada_m2 = canada_active ? request.security("ECONOMICS:CAM2", tf, close) * request.security("FX_IDC:CADUSD", tf, close) : 0
australia_m2 = australia_active ? request.security("ECONOMICS:AUM3", tf, close) * request.security("FX_IDC:AUDUSD", tf, close) : 0
india_m2 = india_active ? request.security("ECONOMICS:INM2", tf, close) * request.security("FX_IDC:INRUSD", tf, close) : 0
korea_m2 = korea_active ? request.security("ECONOMICS:KRM2", tf, close) * request.security("FX_IDC:KRWUSD", tf, close) : 0
brazil_m2 = brazil_active ? request.security("ECONOMICS:BRM2", tf, close) * request.security("FX_IDC:BRLUSD", tf, close) : 0
russia_m2 = russia_active ? request.security("ECONOMICS:RUM2", tf, close) * request.security("FX_IDC:RUBUSD", tf, close) : 0
switzerland_m2 = switzerland_active ? request.security("ECONOMICS:CHM2", tf, close) * request.security("FX_IDC:CHFUSD", tf, close) : 0
mexico_m2 = mexico_active ? request.security("ECONOMICS:MXM2", tf, close) * request.security("FX_IDC:MXNUSD", tf, close) : 0
indonesia_m2 = indonesia_active ? request.security("ECONOMICS:IDM2", tf, close) * request.security("FX_IDC:IDRUSD", tf, close) : 0
turkey_m2 = turkey_active ? request.security("ECONOMICS:TRM2", tf, close) * request.security("FX_IDC:TRYUSD", tf, close) : 0
saudi_m2 = saudi_active ? request.security("ECONOMICS:SAM2", tf, close) * request.security("FX_IDC:SARUSD", tf, close) : 0
argentina_m2 = argentina_active ? request.security("ECONOMICS:ARM2", tf, close) * request.security("FX_IDC:ARSUSD", tf, close) : 0
southafrica_m2 = southafrica_active ? request.security("ECONOMICS:ZAM2", tf, close) * request.security("FX_IDC:ZARUSD", tf, close) : 0
// Calculate total liquidity (In Trillions USD)
total = (us_m2 + eu_m2 + china_m2 + japan_m2 + uk_m2 + canada_m2 + australia_m2 + india_m2 + korea_m2 + brazil_m2 + russia_m2 + switzerland_m2 + mexico_m2 + indonesia_m2 +
turkey_m2 + saudi_m2 + argentina_m2 + southafrica_m2) / 1000000000000
// Calculate minutes per bar based on timeframe
var float minutes_per_bar = 0
if timeframe.isminutes
minutes_per_bar := timeframe.multiplier * 1
else if timeframe.isdaily
minutes_per_bar := timeframe.multiplier * 1440 // 1440 minutes = 1 day
else if timeframe.isweekly
minutes_per_bar := timeframe.multiplier * 10080 // 10080 minutes = 1 week
else if timeframe.ismonthly
minutes_per_bar := timeframe.multiplier * 43200 // 43200 minutes ≈ 1 month (30 days)
// Convert weeks to bars: (weeks * days/week * minutes/day) / minutes_per_bar
bars_offset = math.round(slide_weeks * 7 * 1440 / minutes_per_bar)
// Plot total liquidity with dynamic offset
plot(total, offset=bars_offset, color=color.blue, linewidth=2)
MTS📊 MTS (Murrey Math System) Trading Strategy for TradingView 📊
Introduction:
This script implements the Murrey Math System (MTS), a market analysis tool based on a set of pivot points and price ranges, designed to help traders identify key levels of support and resistance.
MTS calculates key price levels based on historical price swings and helps identify price targets, stop-loss levels, and potential breakout zones.
The strategy also includes an adaptive bias panel, showing buy or sell suggestions based on current price action relative to Murrey Math levels.
Key Components:
1. Pivot Calculation and Conditions:
Pivot Lookback & Spikeyness Index:
The pivots: lookback/forward input defines how far back (and forward) the script looks to identify potential pivot points (high and low). A smaller value focuses on more recent swings, while larger values consider a broader range.
The Spikeyness Index (atrMult) allows you to adjust sensitivity to market spikes, utilizing the Average True Range (ATR) to detect sharp price movements that could indicate potential turning points.
Pivot Conditions:
isPivHigh and isPivLow detect local high and low pivot points, respectively.
Spiky Conditions: The spikyH and spikyL conditions filter out pivots that do not meet the spikiness criteria, which is based on ATR and moving averages.
2. Swing High and Swing Low Identification:
The script identifies and stores previous swing highs (HR_prev) and lows (LR_prev), updating them based on the current market structure.
3. Proprietary Calculation:
The propCalc input enables a proprietary calculation method for determining higher or lower levels beyond the typical Murrey Math levels, offering a more adaptive approach to price targets and support/resistance levels.
4. Murrey Math Lines (MML):
MML Calculation:
The code calculates a set of Murrey Math Lines (EightEight, FourEight, ZeroEight), which are key price levels based on the range of the price over a given time period. These levels represent major support and resistance zones, with the EightEight line indicating extremely overbought conditions and ZeroEight signaling deeply oversold conditions.
Level and Extension Lines:
The script also plots additional levels and extensions based on the range between HR and LR, representing key support/resistance levels. These levels are dynamically drawn on the chart, offering clear insights into where price might reverse or break out.
Strategy Logic:
- Breakout and Breakdown:
The Bias Box panel dynamically displays a trade bias, either suggesting to "Buy on Dip" or "Sell on Rise," depending on whether the current price is above or below the midpoint of the Murrey Math range (BEP). This bias is calculated using the market's relationship to the Murrey Math Levels.
- Buy on Dip: When the price is below the midpoint (BEP), suggesting the market is in a buying zone.
- Sell on Rise: When the price is above the midpoint, suggesting the market is in a selling zone.
- Stop-Loss and Target Hints:
The stop-loss (SL) and target levels are dynamically set based on the position relative to HR and LR:
For Buy on Dip: SL is set at LR Low, Target is set at HR High.
For sell on Rise: SL is set at HR Low, Target is set at LR High.
2. Historical and Current Levels:
The script compares the most recent Murrey Math levels with historical levels. This helps identify any shifts or changes in the market structure, enhancing the trader's ability to adapt to new trends.
- Current Levels:
The current levels are drawn from the most recent HR and LR values, with corresponding extensions showing possible breakout or breakdown zones.
- Historical Levels:
Historical levels are drawn in a "ghost" style, helping traders visualize past market conditions and potential support/resistance zones that could still influence price movement.
- Trade Examples:
Example 1: Buy on Dip
a. Scenario:
Price is below the midpoint (BEP), and the bias suggests a buy on dip.
The trader looks for a rebound from the LR Low level, with a target at the HR High.
b. Entry:
Buy when the price reaches the LR Low level.
c. Exit:
Take profit when the price hits the HR High.
d. Stop-Loss:
Place stop-loss at the LR Low.
Example 2: Sell on Rise
a. Scenario:
Price is above the midpoint (BEP), and the bias suggests a sell on rise.
The trader looks for a pullback to the HR Low, with a target at the LR High.
b. Entry:
Sell when the price reaches the HR High level.
c. Exit:
Take profit when the price hits the LR Low.
d. Stop-Loss:
Place stop-loss at the HR Low.
Key Features:
Bias Panel: A table in the top-right corner showing the current market bias (Buy on Dip, Sell on Rise, or Neutral).
Displays real-time trade direction and risk information, such as stop-loss and target hints.
Dynamic Level Adjustment: As the price moves, the script dynamically updates the key levels (HR, LR, and Murrey Math lines), keeping traders aware of the most recent market structure.
Visualization Tools:
The chart is populated with a series of lines and labels that indicate the critical price levels for trading.
Support/Resistance Lines: Each key level is marked with different colors for quick recognition.
Extensions: Additional lines are plotted based on price projections, indicating where the market could potentially move.
Note:
Please note that this is an educational purpose idea, any action/trade taken will be user's own responsibility.
Enjoy!
Regards.
Nifty 0.09 Levels - Today OnlyNifty 0.09 Levels – Today Only
This indicator is designed for intraday traders on the NSE (National Stock Exchange of India), specifically for Nifty and BankNifty instruments. It identifies key price levels based on the candle that ends at 9:20 AM IST, which typically reflects the first 5 minutes of market structure after open.
What the Script Does
Detects the 9:15–9:20 AM candle (India market time).
Calculates a base level by adjusting the close of this candle by ±0.09%, creating an upper and lower bound.
Optionally plots three target levels (TG1, TG2, TG3) on both the upside and downside by applying further percentage extensions (±0.18% sequentially).
Displays these levels only for the current day, keeping your chart clean.
How It Works
The script runs on all timeframes and uses timestamp("Asia/Kolkata") to accurately isolate the target candle.
It conditionally draws horizontal lines using line.new() only if today's levels haven't already been drawn.
TG levels can be toggled on or off with a checkbox.
Levels extend visually for 60 bars (roughly one hour on a 1-minute chart) and reset daily.
Use Cases
Scalping or short-term breakout trades based on the early range.
Bias setting: Above the upper level indicates strength; below the lower suggests weakness.
Can be used in automated confluence setups or manual discretionary trades.
Why It's Unique
This tool is optimized for Indian market timing, and uses fixed percentage logic that's not commonly available in open-source range indicators. It cleanly isolates and visualizes actionable levels based on the early session candle without cluttering your chart with historical or irrelevant lines.
No external dependencies or additional scripts are required. Ideal for traders who value simplicity and precision early in the trading session.
Liquidity [Shahzeb Trades]The Liquidity indicator is designed to identify key liquidity zones in the market with precision. This tool helps traders detect where institutional orders are likely placed, showing potential areas for price sweeps and reversals. Whether you're trading Forex, Crypto, or Binary Options, this indicator highlights buy-side and sell-side liquidity with high accuracy—enabling smarter entries and exits.
Perfect for smart money concept (SMC) and order block traders, this indicator works best when combined with market structure analysis and price action confirmations.
Features:
✅ Highlights liquidity pools (Buy-side/Sell-side)
✅ Confirms directional bias through liquidity sweep signals
✅ Suitable for all timeframes
✅ Ideal for SMC, ICT, and OB strategy traders
✅ Tested and used by Shahzeb Trades
Niveles Clave desde ListaPut Wall: 550.00, Rango LOW: 549.67, Gamma Flip Bottom: 560.00, Dark Pool Anchor: 561.17, Call Wall: 560.00, Gamma Flip Top: 566.00, Rango HIGH: 567.27
SBC ProtfoSBC Portfo PNL Indicator
Description
The SBC Portfo PNL Indicator is a powerful and user-friendly tool designed specifically for Hebrew-speaking traders to track the Profit and Loss (PNL) of their stock portfolios directly on TradingView charts. This indicator allows users to manage up to **5 distinct portfolios**, each capable of holding an **unlimited number of stocks** with **unlimited buy commands**. It provides a seamless way to input and analyze purchase data, making it ideal for traders who want to monitor their portfolio performance in real-time.
Key Features
- **Multi-Portfolio Support**: Create and track up to 5 separate portfolios, allowing flexibility for different trading strategies or accounts.
- **Unlimited Stock Entries**: Each portfolio can include an unlimited number of stocks, with no restrictions on the number of buy commands per stock.
- **Detailed Buy Commands**: For each stock, input the following data:
- **Stock Ticker**: The symbol of the stock (e.g., `AAPL`, `TSLA`).
- **Buy Price**: The price at which the stock was purchased (e.g., `150.25`).
- **Buy Amount**: The quantity of shares purchased (e.g., `10`).
- **Hebrew-Friendly Interface**: Designed with Hebrew-speaking users in mind, ensuring intuitive navigation and clear instructions in the TradingView settings dialog.
- **Customizable PNL Tracking**: Visualize the profit and loss of your portfolios directly on your TradingView charts, with real-time updates based on market data.
How to Use
1. **Add the Indicator**:
- Open TradingView, go to the chart, and add the "SBC Portfo PNL Indicator" from the Indicators menu.
2. **Configure Portfolios**:
- Open the indicator’s settings dialog.
- For each portfolio (up to 5), manually enter the portfolio data in the provided input fields using the following format:
```
PortfolioName:StockTicker:BuyPricexBuyAmount;StockTicker:BuyPricexBuyAmount
```
**Example**:
```
Portfolio1:AAPL:150.25x10;TSLA:266.72x5
```
- This example represents a portfolio named "Portfolio1" with two buy commands:
- 10 shares of AAPL bought at $150.25.
- 5 shares of TSLA bought at $266.72.
- Repeat for additional portfolios (e.g., `Portfolio2`, `Portfolio3`, etc.), each in its own input field.
- You can add multiple buy commands for the same stock within a portfolio by including additional entries (e.g., `AAPL:160.50x20`).
3. **Apply Settings**:
- Save the settings to apply the portfolio data to the chart.
- The indicator will calculate and display the PNL based on the current market prices of the entered stocks.
4. **Monitor PNL**:
- View the profit and loss for each portfolio directly on the chart, with customizable display options (e.g., table, labels, or graphical overlays, depending on indicator settings).
## Input Format
Each portfolio’s data must be entered manually in the indicator’s settings dialog, with one input field per portfolio. The format is as follows:
```
PortfolioName:StockTicker:BuyPricexBuyAmount;StockTicker:BuyPricexBuyAmount
```
- **PortfolioName**: A unique name for the portfolio (e.g., `Portfolio1`, `Growth`, `Tech`).
- **StockTicker**: The stock symbol (e.g., `AAPL`, `GOOGL`).
- **BuyPrice**: The purchase price per share (e.g., `150.25`).
- **BuyAmount**: The number of shares purchased (e.g., `10`).
- **Separator**: Use `:` to separate portfolio name, ticker, and buy data; `x` to separate price and amount; and `;` to separate multiple stock entries.
**Example Input for Multiple Portfolios**:
- Portfolio 1:
```
GrowthPortfolio:AAPL:150.25x10;TSLA:266.72x5;MSFT:305.10x8
```
- Portfolio 2:
```
DividendPortfolio:KO:55.20x50;PG:145.30x30
```
Companion Tool
To simplify portfolio management, use the **SBC Portfo Manager** desktop app (available separately). This tool allows Hebrew-speaking users to create, edit, and export portfolio data in the correct format, which can then be copied and pasted into the indicator’s settings. Note: The SBC Portfo Manager is an independent tool and not affiliated with TradingView.
Notes
- **Hebrew Support**: Instructions and labels in the settings dialog are optimized for Hebrew users, ensuring clarity and ease of use.
- **Unlimited Flexibility**: Add as many stocks and buy commands as needed per portfolio, with no upper limit.
- **Manual Input**: Portfolio data must be entered manually in the settings dialog. Ensure the format is correct to avoid errors.
- **Compatibility**: Works with any stock ticker supported by TradingView.
Disclaimer
The SBC Portfo PNL Indicator is an independent tool created to assist Hebrew-speaking traders in tracking portfolio performance. It is **not** affiliated with TradingView. Always verify your portfolio data and consult with a financial advisor before making trading decisions.
Support
For questions, issues, or feature requests, please contact the developer via TradingView or check the (github.com) for additional resources.
License
This indicator is provided under the Attribution-NonCommercial 4.0 International license. Please review the terms on the GitHub repository or contact the developer for details.
Bitcoin Power Law Bayesian Fit with Residual HistogramTitle: Bayesian Bitcoin Power Law Indicator with Residuals Histogram
Description:
This Pine Script implements a Bitcoin (BTC) price indicator based on a power-law relationship between BTC price and time, modeled using Bayesian regression.
Bayesian regression is one of the most robust regression methods.
The indicator provides a robust framework for understanding BTC price trends, highlighting key statistical levels, based on deviation from the power law trend and visualizing the bimodal nature of BTC price behavior through a residual distribution histogram (distribution of the deviation from the Bayesian power law trend).
Features:
Power Law Model with Confidence Levels:
Models BTC price as a power-law function of time using Bayesian regression, displaying the median trendline.
Includes multiple confidence intervals to reflect statistical uncertainty.
Plots a support power-law line, set at 2 standard deviations below the median trend, serving as a critical lower bound for price expectations.
Bimodal Residual Histogram:
Displays a histogram in a lower panel, illustrating the distribution of model residuals (difference between actual BTC price and the power-law model) over a default 100-day window (user-configurable). This is one of the most innovative components of this indicator because it highlights the current shape of the distribution of recent deviations.
Highlights the bimodal nature of BTC price behavior, with two distinct regimes:
Core Power Law: Represents periods (approximately 2 years) when BTC price closely follows the power-law trend, typically when below the median power-law line.
Turbulent Flow BTC: Captures periods when BTC price is above the median power-law line, exhibiting more chaotic, bull-run behavior.
The histogram provides a range of possible prices based on the observed residual distribution, aiding in probabilistic price forecasting.
These analogies with fluid dynamics are part of the power law framework based on parallels in financial physics.
Purpose:
This indicator is designed for traders and analysts seeking to understand BTC price dynamics through a statistically grounded power-law model. The confidence levels and support line offer clear benchmarks for trend and support analysis, while the bimodal histogram provides insight into whether BTC is in a stable "Core Power Law" phase or a volatile "Turbulent Flow" phase, enabling better decision-making based on market regime.
Usage Notes:
Use the histogram to determine whether BTC is in the Core Power Law (below the power-law trend) or Turbulent Flow (above the trend) regime to contextualize price behavior.
Adjust the residual window (default 100 days) to analyze different timeframes for the distribution.
The support power-law line (2 standard deviations below) serves as a critical level for identifying potential price floors.
BTC Breakout Alert📈 BTC Breakout & Fakeout Detector with Volume, RSI & MACD Filters
This script helps identify high-confidence breakout setups by combining price action, volume spikes, and optional momentum filters (RSI & MACD). It’s designed to alert you when Bitcoin (or any asset) breaks above a defined resistance level with strong conviction — and warns you if that move turns out to be a fakeout.
🔍 Features:
✅ Confirmed Breakout Alerts: Triggers when price closes above your set resistance level with volume ≥ 1.5× the 20-period average.
⚠️ Fakeout Detection: Highlights when price closes back below resistance within a few candles after breakout.
📊 Momentum Filters:
RSI > 50 for bullish confirmation
MACD line > signal line to support breakout momentum
🔔 Custom Alerts: Built-in alert conditions for both breakout and fakeout events.
🔼🔽 Visual Markers: Arrows plotted directly on the chart for clear entry and caution zones.
🕒 Works on all timeframes and any asset that includes volume data.
Ideal for breakout traders who want more than just a price spike — this tool ensures volume and momentum alignment, helping you reduce false signals and react with more confidence.
DECODE Multi SMA EMANo need to keep reconfiguring your moving averages. Set up to 10 moving averages, 5 x SMA and 5 x EMA, and optionally apply coloured shading between pairs. Once it's set up, just turn them on or off as needed!
Forex Sessions - Tokyo, London, NYThis script has been specifically designed for traders who trade from Panama or who wish to clearly visualize the main Forex market sessions in Panamanian time (UTC-5). The indicator marks in a visual and structured way the three key market sessions: Tokyo, London and New York.
Each session is represented by colored blocks or vertical lines, allowing you to easily identify the time ranges during which each session is active. The sessions are defined as follows in Panama time:
Tokyo session: 6:00 p.m. to 2:00 a.m.
London session: from 3:00 a.m. to 10 a.m.
New York session: 7:00 a.m. to 4:00 p.m.
This script is ideal for intraday traders and scalpers looking to take advantage of session-specific volatility, especially during the overlap zones between London and New York, where more volume and market movement is commonly generated.
In addition, the script provides a better understanding of price dynamics based on the time frame, facilitating strategic decisions based on the opening and closing of each session. Its design is compatible with any time frame and can be easily customized to suit particular needs.
Wick Ratio IndicatorScript Description: Wick Ratio Indicator
This Pine Script indicator identifies candlesticks with dominant upper or lower wicks and visually marks them on the chart. It helps traders spot potential price rejection signals, often used to anticipate trend reversals or breakout opportunities. Key Features
Wick Length Calculation
Upper Wick: high - max(open, close)
(Measures distance from the highest price to the candle body's top)
Lower Wick: min(open, close) - low
(Measures distance from the candle body's bottom to the lowest price)
Comparison Logic
Green Triangle (▲): Plotted above the candle when the upper wick is longer (bearish rejection signal).
Red Triangle (▼): Plotted below the candle when the lower wick is longer (bullish rejection signal).
Visual Simplicity
Non-intrusive design that overlays directly on price action.
Customizable colors and sizes (modifiable in settings).
Multiple (12) Strong Buy/Sell Signals + Momentum
Indicator Manual: "Multiple (12) Strong Buy/Sell Signals + Momentum"
This indicator is designed to identify strong buy and sell signals based on 12 configurable conditions, which include a variety of technical analysis methods such as trend-following indicators, pattern recognition, volume analysis, and momentum oscillators. It allows for customizable alerts and visual cues on the chart. The indicator helps traders spot potential entry and exit points by displaying buy and sell signals based on the selected conditions.
Key Observations:
• The script integrates multiple indicators and pattern recognition methods to provide comprehensive buy/sell signals.
• Trend-based indicators like EMAs and MACD are combined with pattern recognition (flags, triangles) and momentum-based signals (RSI, ADX, and volume analysis).
• User customization is a core feature, allowing adjustments to the conditions and thresholds for more tailored signals.
• The script is designed to be responsive to market conditions, with multiple conditions filtering out noise to generate reliable signals.
________________________________________
Key Features:
1. 12 Combined Buy/Sell Signal Conditions: This indicator incorporates a diverse set of conditions based on trend analysis, momentum, and price patterns.
2. Minimum Conditions Input: You can adjust the threshold of conditions that need to be met for the buy/sell signals to appear.
3. Alert Customization: Set alert thresholds for both buy and sell signals.
4. Dynamic Visualization: Buy and sell signals are shown as triangles on the chart, with momentum signals highlighted as circles.
________________________________________
Detailed Description of the 12 Conditions:
1. Exponential Moving Averages (EMA):
o Conditions: The indicator uses EMAs with periods 3, 8, and 13 for quick trend-following signals.
o Bullish Signal: EMA3 > EMA8 > EMA13 (Bullish stack).
o Bearish Signal: EMA3 < EMA8 < EMA13 (Bearish stack).
o Reversal Signal: The crossing over or under of these EMAs can signify trend reversals.
2. MACD (Moving Average Convergence Divergence):
o Fast MACD (2, 7, 3) is used to confirm trends quickly.
o Bullish Signal: When the MACD line crosses above the signal line.
o Bearish Signal: When the MACD line crosses below the signal line.
3. Donchian Channel:
o Tracks the highest high and lowest low over a given period (default 20).
o Breakout Signal: Price breaking above the upper band is bullish; breaking below the lower band is bearish.
4. VWAP (Volume-Weighted Average Price):
o Above VWAP: Bullish condition (price above VWAP).
o Below VWAP: Bearish condition (price below VWAP).
5. EMA Stacking & Reversal:
o Tracks the order of EMAs (3, 8, 13) to confirm strong trends and reversals.
o Bullish Reversal: EMA3 < EMA8 < EMA13 followed by a crossing to bullish.
o Bearish Reversal: EMA3 > EMA8 > EMA13 followed by a crossing to bearish.
6. Bull/Bear Flags:
o Bull Flag: Characterized by a strong price movement (flagpole) followed by a pullback and breakout.
o Bear Flag: Similar to Bull Flag but in the opposite direction.
7. Triangle Patterns (Ascending and Descending):
o Detects ascending and descending triangles using pivot highs and lows.
o Ascending Triangle: Higher lows and flat resistance.
o Descending Triangle: Lower highs and flat support.
8. Volume Sensitivity:
o Identifies price moves with significant volume increases.
o High Volume: When current volume is significantly above the moving average volume (set to 1.2x of the average).
9. Momentum Indicators:
o RSI (Relative Strength Index): Confirms overbought and oversold levels with thresholds set at 65 (overbought) and 35 (oversold).
o ADX (Average Directional Index): Confirms strong trends when ADX > 28.
o Momentum Up: Momentum is upward with strong volume and bullish RSI/ADX conditions.
o Momentum Down: Momentum is downward with strong volume and bearish RSI/ADX conditions.
10. Bollinger & Keltner Squeeze:
o Squeeze Condition: A contraction in both Bollinger Bands and Keltner Channels indicates low volatility, signaling a potential breakout.
o Squeeze Breakout: Price breaking above or below the squeeze bands.
11. 3 Consecutive Candles Condition:
o Bullish: Price rises for three consecutive candles with higher highs and lows.
o Bearish: Price falls for three consecutive candles with lower highs and lows.
12. Williams %R and Stochastic RSI:
o Williams %R: A momentum oscillator with signals when the line crosses certain levels.
o Stochastic RSI: Provides overbought/oversold levels with smoother signals.
o Combined Signals: You can choose whether to require both WPR and StochRSI to signal a buy/sell.
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User Inputs (Inputs Tab):
1. Minimum Conditions for Buy/Sell:
o min_conditions: Number of conditions required to trigger a buy/sell signal on the chart (1 to 12).
o Alert_min_conditions: User-defined alert threshold (how many conditions must be met before an alert is triggered).
2. Donchian Channel Settings:
o Show Donchian: Toggle visibility of the Donchian channel.
o Donchian Length: The length of the Donchian Channel (default 20).
3. Bull/Bear Flag Settings:
o Bull Flag Flagpole Strength: ATR multiplier to define the strength of the flagpole.
o Bull Flag Pullback Length: Length of pullback for the bull flag pattern.
o Bull Flag EMA Length: EMA length used to confirm trend during bull flag pattern.
Similar settings exist for Bear Flag patterns.
4. Momentum Indicators:
o RSI Length: Period for calculating the RSI (default 9).
o RSI Overbought: Overbought threshold for the RSI (default 65).
o RSI Oversold: Oversold threshold for the RSI (default 35).
5. Bollinger/Keltner Squeeze Settings:
o Squeeze Width Threshold: The maximum width of the Bollinger and Keltner Bands for squeeze conditions.
6. Stochastic RSI Settings:
o Stochastic RSI Length: The period for calculating the Stochastic RSI.
7. WPR Settings:
o WPR Length: Period for calculating Williams %R (default 14).
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User Inputs (Style Tab):
1. Signal Plotting:
o Control the display and colors of the buy/sell signals, momentum indicators, and pattern signals on the chart.
o Buy/Sell Signals: Can be customized with different colors and shapes (triangle up for buys, triangle down for sells).
o Momentum Signals: Custom circle placement for momentum-up or momentum-down signals.
2. Donchian Channel:
o Show Donchian: Toggle visibility of the Donchian upper, lower, and middle bands.
o Band Colors: Choose the color for each band (upper, lower, middle).
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How to Use the Indicator:
1. Adjust Minimum Conditions: Set the minimum number of conditions that must be met for a signal to appear. For example, set it to 5 if you want only stronger signals.
2. Set Alert Threshold: Define the number of conditions needed to trigger an alert. This can be different from the minimum conditions for visual signals.
3. Customize Appearance: Modify the colors and styles of the signals to match your preferences.
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Conclusion:
This comprehensive trading indicator uses a combination of trend-following, pattern recognition, and momentum-based conditions to help you spot potential buy and sell opportunities. By adjusting the input settings, you can fine-tune it to match your specific trading strategy, making it a versatile tool for different market conditions.
Signal Reliability Based on Condition Count
The reliability of the buy/sell signals increases as more conditions are met. Here's a breakdown of the probabilities:
1. 1-3 Conditions Met: Lower Probability
o Signals that meet only 1-3 conditions tend to have lower reliability and are considered less probable. These signals may represent false positives or weaker market movements, and traders should approach them with caution.
2. 4 Conditions Met: More Reliable Signal
o When 4 conditions are met, the signal becomes more reliable. This indicates that multiple indicators or market patterns are aligning, increasing the likelihood of a valid buy/sell opportunity. While not foolproof, it's a stronger indication that the market may be moving in a particular direction.
3. 5-6 Conditions Met: Strong Signal
o A signal meeting 5-6 conditions is considered a strong signal. This indicates a well-confirmed move, with several technical indicators and market factors aligning to suggest a higher probability of success. These are the signals that traders often prioritize.
4. 7+ Conditions Met: Rare and High-Confidence Signal
o Signals that meet 7 or more conditions are rare and should be considered high-confidence signals. These represent a significant alignment of multiple factors, and while they are less frequent, they are highly reliable when they do occur. Traders can be more confident in acting on these signals, but they should still monitor market conditions for confirmation.
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You can adjust the number of conditions as needed, but this breakdown should give a clear structure on how the signal strength correlates with the number of conditions met!
Z-Score Trend Monitor [EdgeTerminal]The Z-Score Trend Monitor measures how far the short-term moving average deviates from the long-term moving average using the spread difference of the two — in standardized units. It’s designed to detect overextension, momentum exhaustion, and potential mean-reversion points by converting the spread between two moving averages into a normalized Z-score and tracking its change and direction over time.
The idea behind this is to catch the changes in the direction of a trend earlier than the usual and lagging moving average lines, allowing you to react faster.
The math behind the indicator itself is very simple. We take the simple moving average of the spread between a long term and short term moving average, and divide it by the difference between the spread and spread mean.
This results in a relatively accurate and early acting trend detector that can easily identify overbought and oversold levels in any timeframe. From our own testing, we recommend using this indicator as a trend confirmation tool.
How to Use It:
Keep an eye on the Z-Score or the blue line. When it goes over 2, it indicates an overbought or near top level, and when it goes below -2, it indicates an oversold or near bottom.
When Z-Score returns to zero or grey line, it suggests mean reversion is in progress.
You can also change the Z-Score criteria from 2 and -2 in the settings to any number you’d like for tighter or wider levels.
For scalping and fast trading setups, we recommend shorter SMAs, such as 5 and 20, and for longer trading setups such as swing trades, we recommend 20 and 100.
Settings:
Short SMA: Lookback period of short term simple moving average for the lower side of the SMA spread.
Short Term Weight: Additional weight or multiplier to suppress the short term SMA calculation. This is used to refine the SMA calculation for more granular and edge cases when needed, usually left at 1, meaning it will take the entire given value in the short SMA field.
Long SMA: Lookback period of long term simple moving average for the upper side of the SMA spread.
Long Term Weight: Additional weight or multiplier to suppress the long term SMA calculation. This is used to refine the long SMA calculation for more granular and edge cases when needed, usually left at 1, meaning it will take the entire given value in the long SMA field.
Z-Score Threshold: The threshold for upper (oversold) and lower (overbought) levels. This can also be set individually from the style page.
Z-Score Lookback Window: The lookback period to calculate spread mean and spread standard deviation
Half Supertrend [NLR]While the Supertrend is a popular tool, traders often face the challenge of false signals and uncertain entry points. The Half Supertrend indicator addresses these shortcomings by introducing a dynamic mid-level , offering a significantly improved way to identify true trend strength and potential high-probability entries.
Here's how the mid-level enhances your trend analysis:
Filter Out Noise: Instead of reacting to every Supertrend flip, the mid-level helps you identify the strength of the trend. Price moving strongly away from the mid-level confirms a higher conviction move.
Identify Optimal Pullback Entries: Waiting for price to pull back to the dynamic mid-level after a Supertrend direction change can provide better entry prices and potentially higher probability setups, capitalizing on established momentum. This approach helps avoid entering prematurely on weaker signals.
Gain Deeper Trend Insight: The position of the price relative to both the Supertrend line and the mid-level paints a clearer picture of the current trend's strength and potential for continuation or reversal.
Here's the technical edge you've been waiting for:
Enhanced Trend Confirmation: This indicator plots a mid-level derived from half the Average True Range (ATR) multiple, acting as a crucial intermediary for assessing trend strength.
Intra-Trend Strength Analysis:
Price above/below the mid-level: Indicates a strong trending move aligned with the Supertrend direction.
Price between the mid-level and the Supertrend line: Suggests a weaker trend and a higher probability of consolidation or reversal.
Early Reversal Detection: Price crossing the mid-level can serve as an early warning signal of a potential trend change.
Higher Timeframe Clarity: The user-configurable higher timeframe (HTF) input provides a robust, multi-timeframe trend bias.
Dynamic Entry Levels: Potential entry levels based on the mid-level are plotted for visual guidance.
Clear Visual Representation: Color-coded lines and filled areas simplify trend and strength assessment.
How it works under the hood:
This indicator utilizes the standard Supertrend calculation on the chosen higher timeframe, incorporating the Average True Range (ATR) to determine volatility-adjusted bands. The unique addition is the "half trend" line, calculated by adding or subtracting half of the ATR-based trailing stop value from the Supertrend line. This mid-level acts as a crucial intermediary zone for evaluating the conviction of the current trend.
// Calculate the mid-level line
half_line = supertrend + (atr * half_factor)
Key Input Parameters:
ATR Length: Determines the period for calculating the Average True Range (default: 10).
Factor: The multiplier applied to the ATR to determine the Supertrend band width (default: 3). The mid-level dynamically adjusts based on half of this factor.
Timeframe: Allows you to select a higher timeframe for the Supertrend calculation, providing a broader trend context.
Up Color/Down Color: Customize the colors for uptrend and downtrend indications.
Position Size Calculator with Compound EarningsDoes compounddaily.org functions and calculates position sizing based on
Contracts = (Account × Risk%) ÷ (Stop Distance × $2.00 for MNQ)