DS Gurukul RoundupRoundup (Support & Resistance Indicator) For Bank Nifty
By DS Gurukul
To be used only for Bank Nifty.
Indicator Overview
The Round Figure Indicator identifies key psychological support and resistance levels based on round numbers. These levels often act as strong turning points in price action due to trader psychology and institutional order placement.
How It Works
Key Levels:
Mid Band (Black Solid Line): Major round number
Upper Band (Green Solid Line): Mid Band (resistance)
Lower Band (Red Solid Line): Mid Band (support)
Sub-Bands (Dotted Lines): ±100 levels for tighter zones
Alerts: Triggers when price touches any band, signaling potential reversals or breakouts.
Trading Strategy
✅ Bounce Trades:
Buy near Lower Band or Mid Sub-Lower with bullish confirmation (e.g., hammer candle).
Sell near Upper Band or Mid Sub-Upper with bearish rejection (e.g., shooting star).
✅ Breakout Trades:
Enter long on a close above Upper Band with volume.
Enter short on a close below Lower Band with momentum.
⚠️ Risk Management:
Place stops just beyond the opposite sub-band.
Avoid trading if price is stuck between mid/sub-bands (choppy market).
Why It Works
Round numbers attract limit orders (support/resistance).
Institutions use these levels for stop placements and profit targets.
Works across all timeframes (scalping to swing trading).
🔔 Tip: Combine with RSI/MACD for higher-probability trades!
Bantlar ve Kanallar
Globex Overnight Futures ORB with FIB's by TenAMTrader📈 Globex Overnight Futures ORB with FIBs by TenAMTrader
This TradingView indicator is designed to plot the Opening Range Breakout (ORB) for the Globex Overnight Futures session, enhanced with customizable Fibonacci extension and retracement levels.
🕒 Session Definition
The indicator defines a primary time window, typically from 6:00 PM ET to 6:15 PM ET, capturing the first 15 minutes of the Globex session.
It identifies the high, low, and midpoint of this range, which are then used as reference levels throughout the trading day.
🔍 Visual Features
Plots lines for the Opening High, Low, and Midpoint.
Shades two cloud regions: High to Midpoint and Low to Midpoint for easier visual identification.
Optionally displays Fibonacci levels, including:
Standard extensions and retracements (e.g., 0.618, 1.0, -0.618, etc.)
Intermediate levels within the primary range for intraday reactions
Option to toggle additional extension levels beyond the standard set.
🚨 Alerts
Optional alert triggers for price crossing the Opening High, Low, or Midpoint levels.
⚠️ Important Usage Note
This indicator is currently optimized for the 1-minute chart to ensure accurate and consistent ORB calculations. Using it on higher timeframes may result in incorrect range values until future updates add multi-timeframe support.
📘 Disclaimer
This script is for educational and informational purposes only and should not be considered financial advice. Trading involves risk, and past performance is not indicative of future results. Always do your own research and consult with a licensed financial advisor before making trading decisions.
VWAP Predictive Breakout + RSI + OB + Trend/Chop📈 VWAP Predictive Breakout + RSI + Order Blocks + Trend/Chop Filter
This multi-layered day trading and scalping tool is designed to predict price direction after a VWAP breakout, rather than react to it. It combines volume, RSI, candlestick structure, order blocks, and trend/chop analysis to improve the accuracy of intraday signals.
🔍 Core Features
VWAP Predictive Breakout
Signals are generated when price breaks above/below VWAP with strength (volume spike + strong candle body), supported by trend confirmation.
RSI Momentum Filter
Uses RSI divergence behavior to validate breakouts, filtering out weak or exhausted moves.
Order Block Detection
Marks bullish and bearish engulfing patterns and checks for proximity to these zones as confirmation for breakouts.
Trend vs Chop Detection
Uses ADX, ATR, EMA distance, Bollinger Band width, and candlestick cleanliness to dynamically identify whether the market is trending or choppy.
Clean Candle Behavior
Filters out noisy or indecisive candles by analyzing wick-to-body ratio and ATR-based body size.
📌 Visual Markers
🟢 Buy Signal: Green triangle below bar
🔴 Sell Signal: Red triangle above bar
🟢⚪ Bullish Order Block: Green circle
🔴⚪ Bearish Order Block: Red circle
🟩 Trending Background: Light green
🟥 Choppy Background: Light red
🛎 Alerts Included
Long signal: VWAP breakout + RSI + Order Block + Clean Candle
Short signal: VWAP breakdown + RSI + Order Block + Clean Candle
🧠 Best Use Cases
Scalping high-probability VWAP reversals or continuations
Day trading in markets where trend clarity is critical
Filtering noise in sideways conditions using real-time chop detection
Bar ColorFX Gold is multi market position sizing tool designed to help you manage risk quickly and accurately. with the script simple enter your account capital the percentage of risk you wish to take and stop in ticks depending on the market lets open first after we cools see how the price will paly out .
As Always use proper risk management Guys Trade wisely best of Luck.
Multi-Session ORBThe Multi-Session ORB Indicator is a customizable Pine Script (version 6) tool designed for TradingView to plot Opening Range Breakout (ORB) levels across four major trading sessions: Sydney, Tokyo, London, and New York. It allows traders to define specific ORB durations and session times in Central Daylight Time (CDT), making it adaptable to various trading strategies.
Key Features:
1. Customizable ORB Duration: Users can set the ORB duration (default: 15 minutes) via the inputMax parameter, determining the time window for calculating the high and low of each session’s opening range.
2. Flexible Session Times: The indicator supports user-defined session and ORB times for:
◦ Sydney: Default ORB (17:00–17:15 CDT), Session (17:00–01:00 CDT)
◦ Tokyo: Default ORB (19:00–19:15 CDT), Session (19:00–04:00 CDT)
◦ London: Default ORB (02:00–02:15 CDT), Session (02:00–11:00 CDT)
◦ New York: Default ORB (08:30–08:45 CDT), Session (08:30–16:00 CDT)
3. Session-Specific ORB Levels: For each session, the indicator calculates and tracks the high and low prices during the specified ORB period. These levels are updated dynamically if new highs or lows occur within the ORB timeframe.
4. Visual Representation:
◦ ORB high and low lines are plotted only during their respective session times, ensuring clarity.
◦ Each session’s lines are color-coded for easy identification:
▪ Sydney: Green (high), Red (low)
▪ Tokyo: Blue (high), Orange (low)
▪ London: Purple (high), Yellow (low)
▪ New York: Aqua (high), Fuchsia (low)
◦ Lines are drawn with a linewidth of 2 and disappear when the session ends or if the timeframe is not intraday (or exceeds the ORB duration).
5 Intraday Compatibility: The indicator is optimized for intraday timeframes (e.g., 1-minute to 15-minute charts) and only displays when the chart’s timeframe multiplier is less than or equal to the ORB duration.
How It Works:
• Session Detection: The script uses the time() function to check if the current bar falls within the user-defined ORB or session time windows, accounting for all days of the week.
• ORB Logic: At the start of each session’s ORB period, the script initializes the high and low based on the first bar’s prices. It then updates these levels if subsequent bars within the ORB period exceed the current high or fall below the current low.
• Plotting: ORB levels are plotted as horizontal lines during the respective session, with visibility controlled to avoid clutter outside session times or on incompatible timeframes.
Use Case:
Traders can use this indicator to identify key breakout levels for each trading session, facilitating strategies based on price action around the opening range. The flexibility to adjust ORB and session times makes it suitable for various markets (e.g., forex, stocks, or futures) and time zones.
Limitations:
• The indicator is designed for intraday timeframes and may not display on higher timeframes (e.g., daily or weekly) or if the timeframe multiplier exceeds the ORB duration.
• Time inputs are in CDT, requiring users to adjust for their local timezone or market requirements.
This indicator is ideal for traders focusing on session-based breakout strategies, offering clear visualization and customization for global market sessions.
Context MTF [Th16rry]Context MTF
A multi-timeframe trend context indicator that overlays an Exponential Moving Average (EMA) and a Weighted Moving Average (WMA) whose look-back periods adapt automatically to your chart’s timeframe. Inspired by Mike Bellafore and Brian Shannon (Multi timeframe analysis)
🔍 Overview
Context MTF helps you quickly gauge the prevailing trend and its strength by plotting two complementary moving averages in a single view:
* EMA (solid line) for smooth, responsive trend direction
* WMA (dotted line) for emphasis on recent price action
By automatically selecting period lengths that reflect meaningful market cycles, Context MTF provides intuitive context at a glance:
| Timeframe | Period | Market Cycle Represented |
| :--------: | :----: | :----------------------: |
| Daily (D) | 63 | Quarterly trend |
| Weekly (W) | 52 | Yearly trend |
| 1H (60) | 126 | Monthly trend |
| 15m (15) | 130 | Weekly trend |
| 5m (5) | 78 | Last 24 hours |
⚙️ How It Works
1. Automatic Period Selection
The script detects your chart’s timeframe and applies the appropriate look-back for both EMA and WMA.
2. Solid vs. Dotted
* EMA is drawn as a continuous solid line.
* WMA is rendered as a dotted line of the same color, highlighting short-term momentum within the broader trend.
3. Visual Trend Context
* Widening Gap : Indicates strengthening trend momentum.
* Convergence/Overlap : Suggests a market in consolidation or range.
🎯 Benefits
* Multi-Timeframe Context in a single pane—no need to switch charts.
* Instant trend strength assessment by comparing EMA vs. WMA divergence.
* Clear identification of range conditions when averages align.
* Fully automated period adjustment —set and forget.
⚙️ Settings
* Color : Shared color for both lines (default blue).
* Line Width : Adjustable via script inputs (default 2).
* Dotted WMA : Simulated using built-in dotted line styling for precise rendering.
Use Context MTF to enhance trend-based strategies, confirm breakout momentum, or filter ranging markets. Ideal for swing traders, day traders, and anyone who values clear, time-aligned trend information on every timeframe.
GlitterBomber📈 GlitterBomber Indicator – Overview
The GlitterBomber is a dynamic channel-based indicator that blends trend-following and mean-reversion principles. It utilizes linear regression and standard deviation to create adaptive price bands and generates buy/sell signals, early alerts, and multi-timeframe support/resistance zones.
Whether you're swing trading, scalping, or running intraday setups, GlitterBomber is built to adapt.
⚙️ Settings & Configuration Guide
🔹 Channel Settings
Channel Length: Number of bars used to calculate the regression line and standard deviation.
Higher = smoother trend, less noise.
Lower = faster signals, more sensitivity.
Channel Width Multiplier: Expands the channel based on price volatility (standard deviation).
Higher multiplier = wider bands, fewer signals.
Lower = tighter bands, more signals.
Source: The price data used for calculations (e.g. close, hl2, ohlc4). Default is close.
🔹 Display Options
Show Mid Line?: Toggles the central regression line on/off. Useful for trend visualization and early signal reference.
🔹 Signal Alert Filters
Alert Type:
Buy Only – Triggers only bullish signals.
Sell Only – Triggers only bearish signals.
Both – Triggers all valid signals.
🔹 Early Signal Settings
These provide early warning signals when price moves a defined percentage away from the regression midline:
Early Buy % Below Midline: Fires when price drops below the midline by X%.
Early Sell % Above Midline: Fires when price rises above the midline by X%.
Useful for aggressive entries before outer band touches.
🔹 Support & Resistance Settings
Timeframe: Select the higher timeframe (e.g. Daily, 4H) from which to extract S/R levels.
Lookback Period: Number of bars to scan for highest highs (resistance) and lowest lows (support).
These horizontal S/R lines act as key reference levels for entries, exits, and stop-loss zones.
🧠 How It Works
📏 Linear Regression + Standard Deviation
Midline: A regression line that represents the average trend.
Upper/Lower Bands: Dynamically calculated by adding/subtracting standard deviation from the midline.
These form a statistical envelope — ideal for identifying trend boundaries and mean-reversion zones.
📊 Signal Logic
✅ Buy Signal
Fires when the price crosses above the lower channel — often indicating a bounce or trend reversal.
🚫 Sell Signal
Fires when the price crosses below the upper channel — potential exhaustion or short entry.
⚠️ Early Signals
Fired when price diverges from the midline by a user-defined percentage.
Useful for catching overextended moves before they hit outer bands.
📌 Support/Resistance Lines
Derived from a higher timeframe using lookback-based highs and lows.
Adds multi-timeframe confluence for more robust setups.
💼 3 Use Cases & Ideal Settings
✅ 1. Swing Trading (1H or 4H)
Goal: Capture medium-term reversion moves.
Channel Length: 100
Multiplier: 2.0
Early Buy/Sell %: 1.5%
S/R Timeframe: "D"
S/R Lookback: 50
Strategy:
Buy when price dips below the lower band and reverses.
Confirm confluence with daily support.
Exit at midline or upper resistance.
✅ 2. Intraday Trend Riding (15-Minute Chart)
Goal: Follow short-term momentum with breakout entries.
Channel Length: 50
Multiplier: 1.5
Early Signals: OFF (set both % to 0)
S/R Timeframe: "1H"
S/R Lookback: 24
Strategy:
Enter on breakout above the upper band.
Use S/R to trail or set profit targets.
Ideal in strong trending environments.
✅ 3. Scalping Reversals (5-Minute Chart)
Goal: Fade short-term overbought/oversold conditions.
Channel Length: 30
Multiplier: 1.0
Early Buy %: 0.8%
Early Sell %: 0.8%
S/R Timeframe: "15"
S/R Lookback: 20
Strategy:
Enter on early signal (circle) confirmation.
Exit quickly at midline.
Use higher timeframe S/R to avoid entering into major support or resistance.
🏁 Conclusion
GlitterBomber is more than just a channel indicator — it's a framework for building trades around statistical price behavior, multi-timeframe confluence, and early signal detection.
Whether you're fading, trending, or managing risk through key zones — this tool gives you both structure and flexibility.
Please feel free to comment and offer suggestion always up for hear new idea's!
Happy Trading!
5 in 1 Colored SMA or EMA (w/ Custom Source)This custom Pine Script indicator plots five moving averages (MAs) — each of which can be configured as:
EMA, SMA, or a shaded zone between EMA & SMA
With individual lengths, line widths, and custom sources (like close, open, hl2, etc.)
It includes:
Dynamic coloring: MAs change color based on trend direction (up/down)
Shaded Zones: Optional visual bands between EMA and SMA of same length
Crossover dots: Marks crossover points between any pair of MAs (when enabled)
💡 Strategy Ideas Using This Indicator (High Probability Concepts)
Here are a few strategy foundations you can build on:
1. Trend-Following Cross Strategy
Entry: Buy when fast MA (e.g., MA1 - 5 EMA) crosses above slower MA (e.g., MA2 - 20 EMA)
Confirm: Only take trade if both are green (uptrend)
Exit: Sell on cross below or when MAs turn red (downtrend)
✅ Works best in trending markets
❌ Avoid in sideways/choppy conditions
2. EMA/SMA Zone Pullback Entry
Zone Type: Use “Shaded EMA/SMA Zone” mode on MAs
Entry: Enter long when price dips into the zone of an up-trending MA (color is green) and shows a bullish candle
Stop Loss: Below the zone
Target: Next MA level or fixed risk/reward ratio (e.g., 1:2)
✅ Great for buying dips in strong uptrends
3. Multiple MA Confluence
Setup: Align 3 or more MAs upward (e.g., MA1 > MA2 > MA3)
Entry: When price pulls back to MA1 or MA2 and bounces
Exit: When structure breaks or MAs lose alignment
✅ Filters out weak trends
❌ Can be late to reverse
4. Cross + Zone Confirmation
Combo: Wait for a bullish MA crossover (e.g., MA1 > MA2)
Confirm: Price is above at least one shaded zone (e.g., MA3 in zone mode)
Entry: On breakout candle or retest of the crossover point
✅ Provides strong confirmation before entry
Support BandsSupport Bands – Discount Zones for Bitcoin
⚡Overview:
-The Support Bands indicator identifies one of the most tested and respected support zones for Bitcoin using moving averages from higher timeframes.
-These zones are visualized through colored bands (blue, white, and violet), simplifying the decision making process especially for less experienced traders who seek high-probability areas to accumulate Bitcoin during retracements.
-Band levels are based on manual backtesting and real-world price behavior throughout Bitcoin’s history.
-Each zone reflects a different degree of support strength, from temporary pullback zones to historical bottoms.
⚡️ Key Characteristics:
-Highlights discount zones where Bitcoin has historically shown strong reactions.
-Uses 3 different levels of supports based on EMA/SMA combinations.
-Offers a clean, non-intrusive overlay that reduces chart clutter.
⚡ How to Use:
-Open your chart on the 1W timeframe and select the BTC Bitstamp or BLX symbol, as they provide the most complete historical data, ensuring optimal performance of the indicator.
-Use the bands as reference zones for support and potential pullbacks.
- Level 3 (violet band) historically marks the bottom of Bitcoin bear markets and is ideal for long-term entries during deep corrections.
- Level 2 (white band) often signals macro reaccumulation zones but usually requires 1–3 months of consolidation before a breakout. If the price closes below and then retests this level as resistance for 1–2 weekly candles, it often marks the start of a macro downtrend.
-Level 1 (blue band) acts as short-term support during strong bullish moves, typically after a successful rebound from Level 2.
⚡ What Makes It Unique:
- This script merges moving averages per level into three simplified bands for clearer analysis.
-Reduces chart noise by avoiding multiple overlapping lines, helping you make faster and cleaner decisions.
- Built from manual market study based on recurring Bitcoin behavior, not just random code.
-Historically backtested:
-Level 3 (violet band) until today has always marked the bitcoin bearmarket bottom.
- Level 2 (white band) is the strongest support during bull markets; losing it often signals a macro trend reversal.
- Level 1 is frequently retested during impulsive rallies and can act as short-term support or resistance.
⚡ Disclaimer:
-This script is a visual tool to assist with market analysis.
-It does not generate buy or sell signals, nor does it predict future movements.
-Historical performance is not indicative of future results.
-Always use independent judgment and proper risk management.
⚡ Why Use Support Bands:
-Ideal for traders who want clarity without dozens of lines on their charts.
- Helps identify logical zones for entry or reaccumulation.
- Based on actual market behavior rather than hypothetical setups.
-If the blue band (Level 1) doesn't hold as support, the price often moves to the white band (Level 2), and if that fails too, the violet band (Level 3) is typically the last strong support. By dividing your capital into three planned entries, one at each level,you can manage risk more effectively compared to entering blindly without this structure.
OBV by readCrypto
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OBV is used as a leading indicator to predict stock price movements by measuring changes in trading volume.
Reflecting the cumulative value of trading volume,
- When the price rises, if the trading volume increases, OBV rises,
- When the price falls, if the trading volume decreases, OBV falls.
Therefore, the movement of the OBV indicator must be checked along with the price movement, and it has the disadvantage of being unreliable for coins (tokens) with low trading volume.
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(First interpretation method)
By adding a signal line for the OBV indicator,
- If the OBV indicator moves above the signal line, it is likely to show an upward trend,
- If the OBV indicator moves beyond the signal line, it is likely to show a downward trend.
This interpretation method is difficult to use in actual trading strategies because the OBV indicator often moves up and down repeatedly based on the signal line.
Therefore, it is recommended to use this interpretation method as reference when analyzing charts.
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(Second interpretation method)
Draw support and resistance lines based on the high and low points of the OBV indicator
- If the OBV indicator breaks through the previous high point, it is likely to show an upward trend,
- If the OBV indicator breaks through the previous low point, it is likely to show a downward trend.
This interpretation method is a bit more reliable than the first interpretation method, but it has the disadvantage of having to consider support and resistance lines separately based on the high and low points.
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To compensate for this, a High line for the high point and a Low line for the low point were added.
- If the OBV indicator shows an upward breakout of each line (Low, HL2, High), the price is likely to rise,
- If the OBV indicator shows a downward breakout of each line (Low, HL2, High), the price is likely to fall.
-
Also, the Low and High lines can be interpreted like Bollinger Bands.
That is, if the Low and High lines show a contraction, the price is likely to move sideways, and if they show an expansion, the price is likely to show a trend.
Therefore, if the High line breaks upward in a contracted state,
- It is likely to show an upward trend,
- If the Low line breaks downward, it is likely to show a downward trend.
In an expanded state, you should focus on finding the point to realize profits rather than conducting new transactions.
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It is not easy to interpret the change in actual transaction volume and use it to create a trading strategy.
In particular, it is more difficult in the coin market where multiple exchanges are linked to show movements for one coin (token).
Therefore, the coin market is actively conducting transactions without referring to trading volume at all by following trends.
However, I think that if you interpret the change in trading volume and use it to find a trading point, it can help you find a more accurate trading point.
In that sense, I think that an indicator that adds the High and Low lines of the OBV indicator can be used as meaningful reference material.
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OBV는 거래량의 변화를 측정하여 주가 움직임을 예측하는 선행 지표로 활용됩니다.
거래량의 누적값을 반영하여
- 가격이 상승할 때 거래량이 증가면 OBV가 상승하고,
- 가격이 하락할 때 거래량이 줄면 OBV가 하락하게 됩니다.
따라서, 가격의 움직임과 함께 OBV 지표의 움직임을 확인하여야 하고 거래량이 적은 코인(토큰)에서는 신뢰성이 떨어지는 단점도 가지고 있습니다.
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(첫번째 해석 방법)
OBV 지표에 대한 Signal선을 추가하여
- OBV 지표가 Signal선 이상에서 이동하게 되면 상승세를 보일 가능성이 높고,
- OBV 지표가 Signal선 이항에서 이동하게 되면 하락세를 보일 가능성이 높습니다.
이러한 해석 방법은 Signal선을 기준으로 OBV 지표가 반복적으로 위아래로 움직임을 보이는 경우가 많기 때문에 실제 거래 전략에 활용되기가 어려운 면이 있습니다.
따라서, 이러한 해설 방법은 차트 분석을 할 때 참고 자료로 활용하는 것이 좋습니다.
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(두번째 해석 방법)
OBV 지표의 고점과 저점을 기준하여 지지와 저항선을 그려
- OBV 지표가 이전 고점을 상향 돌파하면 상승세를 보일 가능성이 높고,
- OBV 지표가 이전 저점을 하향 돌파하면 하락세를 보일 가능성이 높습니다.
이러한 해석 방법은 첫번째 해석 방법보다 좀 더 신뢰성이 있는 방법이지만, 고점과 저점을 기준으로 지지와 저항선을 나누어 생각해야 하는 단점이 있습니다.
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이를 보완하고자 고점에 대한 High선과 저점에 대한 Low선을 추가하였습니다.
- OBV 지표가 각 선(Low, HL2, High)을 상향 돌파하는 모습을 보이면 가격이 상승할 가능성이 높고,
- OBV 지표가 각 선(Low, HL2, High)을 하향 돌파하는 모습을 보이면 가격이 하락할 가능성이 높습니다.
-
또한, Low선과 High선을 볼린저밴드와 같이 해석할 수 있습니다.
즉, Low선과 High선이 수축하는 모습을 보이면 가격은 횡보할 가능성이 높고, 확장하는 모습을 보이면 가격은 추세를 나타낼 가능성이 높습니다.
따라서, 수축한 상태에서
- High선을 상향 돌파하게 되면 상승세를 나타낼 가능성이 높고,
- Low선을 하향 돌파하게 되면 하락세를 나타낼 가능성이 높습니다.
확장된 상태에서는 신규 거래를 진행하기 보다 수익 실현할 시점을 찾는데 집중해야 합니다.
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실제 거래량의 변화를 해석하여 거래 전략을 만드는데 활용하기가 쉽지 않습니다.
특히, 하나의 코인(토큰)에 대해서 여러 개의 거래소가 연동되어 움직임을 나타내는 코인 시장에서는 더욱 어려움이 있습니다.
따라서, 코인 시장은 추세 추종으로 아예 거래량을 참고하지 않고 거래를 진행하는 방법이 활성화되어 있기도 합니다.
하지만, 거래량의 변화를 해석하여 거래 시점을 찾는데 활용한다면 보다 정확한 거래 시점을 찾는데 도움을 받을 수 있다고 생각합니다.
그러한 의미에서 OBV 지표의 High선과 Low선을 추가한 지표가 의미 있는 참고 자료로 활용될 수 있다고 생각합니다.
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Fab 4 OVdraw a box for fabulous four which covers 20 sma and 200 sma , high and low of last 20 candles, closing price of the last candle of the day
Smart FlexRange Breakout [The_lurker]The Smart FlexRange Breakout tool aims to identify trading opportunities based on price breakouts of dynamic levels (CALL, PUT) with a dotted centerline and the ability to select the applicable market. The tool relies on candlestick analysis over a specific time period (such as 3 hours). Candle data (searchHours) is collected to identify the most significant candle based on candlestick patterns and trading volume during the selected timeframe. Breakout levels and take-profit (TP) targets are then plotted, along with buy and sell signals, breakout notifications, and up/down trend lines based on Pivot Points.
The tool is run according to the selected timeframe.
Practical Use
1- Setup: Adjust the market, timeframe, number of hours, and time zone to suit the trader's needs.
2- Trading: Monitor signals (BUY/SELL) and TP levels to determine entry and exit points.
3- Trend Lines: Use them to understand the overall trend and confirm signals.
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1. Objective: Identify trading opportunities based on price breakouts
- Trading opportunities: The indicator is designed to help traders identify moments when significant price movements are likely, allowing them to enter buy or sell trades based on market changes.
- Price breakouts: The indicator focuses on moments when prices break through key levels (resistance or support). A breakout occurs when the price exceeds a resistance level (up) or breaks a support level (down), indicating a potential continuation of the movement in the same direction.
- Dynamic: Resistance and support levels are not static; rather, they are calculated based on candlestick analysis over a specific period of time, making them adaptive to current market conditions.
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2. Dynamic levels (resistance and support levels)
- Resistance levels: These represent prices that the price is difficult to break above, defined here as the high of the most significant candle during the specified period.
- Support levels: These represent prices below which the price is difficult to fall, defined as the low of the most significant candle.
- Dynamic: These levels are recalculated every new search period (searchHours), meaning they change based on the latest market data, unlike traditional static levels.
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3. Adding a Dotted Center Line
- Center Line: A horizontal dotted line is drawn at the midpoint between the high and low of the most significant candle.
- Purpose:
- Provides a visual reference point for determining the current price position relative to support and resistance levels.
- Helps assess whether the price is moving toward a breakout (near resistance) or a breakout (near support).
- Dotted: The dotted pattern distinguishes it from the solid upper and lower lines, making it easier to distinguish visually.
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4. Relying on candlestick analysis over a specific time period (searchHours)
- Candlestick Analysis: The indicator examines candlesticks to determine which ones have the most influence on price movement.
- Timeframe (searchHours):
- The user specifies the number of hours (1-6) for candle analysis, which determines the range of data the indicator relies on.
- Example: If searchHours = 3 and timeframe = 30 minutes, 6 candles are analyzed (3 hours ÷ 30 minutes).
- Flexibility: This period can be adjusted to suit different markets (such as volatile cryptocurrencies or more stable Forex).
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5. Determining the Most Important Candle Based on Candle Patterns and Volume
- The most important candle: is the candle believed to have the greatest impact on price movement based on specific criteria.
- Candle Patterns:
- Candles are analyzed using a candlestick pattern library (such as Engulfing, Hammer, Doji).
- Reversal patterns (such as Morning Star, Shooting Star) are given a high importance score (100 points) because they indicate potential trend changes.
- Trading Volume:
- The trading volume of each candle is measured and compared to the maximum and minimum during the period.
- Volume is calculated as a percentage (0-100) and added to the pattern score to determine the most significant candle.
- Result: The candle with the highest score (patterns + volume) is used to determine support and resistance levels.
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6. Timeframe
- Time interval: The user selects a time frame for the candles (15, 30, or 60 minutes).
- Importance:
- Determines the number of candles analyzed during the searchHours period.
- Affects the accuracy and speed of the signals (shorter timeframe = faster but less reliable signals; longer timeframe = slower but more reliable signals).
- Example: If the timeframe is 60 minutes and searchHours is 3, only 3 candles are analyzed.
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7. Drawing Breakout Levels and Take Profit Targets (TP)
- Breakout Levels:
- Upper line (resistance): Drawn at the highest price of the most significant candle and is labeled "CALL".
- Lower line (support): Drawn at the lowest price of the most important candle and is called "PUT."
- These lines represent levels where a breakout is expected to lead to a strong price movement.
- Take Profit Targets (TP):
- Up to 8 bullish (above the upper line) and bearish (below the lower line) TP levels are calculated.
- They are calculated based on a percentage (tpPercentage) added or subtracted from the base lines.
- Example: If tpPercentage = 0.6% and the high price = 100, then bullish TP1 = 100.6, TP2 = 101.2, etc.
- Labels: Labels are drawn for each TP level indicating the value and level (TP1, TP2, etc.).
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8. Buy and Sell Signals
- Buy (BUY) signal:
- Generated when the price breaks the upper line (ta.crossover).
- The "BUY" label is drawn with the redrawing of the TP levels.
- Sell signal (SELL):
- Generated when the price breaks the lower line (ta.crossunder).
- The "SELL" label is drawn with the redrawing of the TP levels.
- Purpose: To provide clear signals to the trader for making trade entry decisions.
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Thank you, n00btraders.
For using the import library: n00btraders/Timezone/1
For using the import library: The_lurker/AllCandlestickPatternsLibrary/1
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Disclaimer:
The information and publications are not intended to be, nor do they constitute, financial, investment, trading, or other types of advice or recommendations provided or endorsed by TradingView.
تهدف أداة Smart FlexRange Breakout إلى تحديد فرص التداول بناءً على اختراقات الأسعار للمستويات الديناميكية (CALL، PUT) مع خط مركزي منقط، مع إمكانية اختيار السوق المناسب. تعتمد الأداة على تحليل الشموع اليابانية على مدى فترة زمنية محددة (مثل 3 ساعات). تُجمع بيانات الشموع (searchHours) لتحديد أهم شمعة بناءً على أنماط الشموع وحجم التداول خلال الإطار الزمني المحدد. ثم تُرسم مستويات الاختراق وأهداف جني الأرباح (TP)، بالإضافة إلى إشارات البيع والشراء، وإشعارات الاختراق، وخطوط الاتجاه الصعودي/الهبوطي بناءً على نقاط المحور.
يتم تشغيل الاداه حسب الفاصل المختار timeframe
الاستخدام العملي
1- الإعداد: اضبط السوق، والإطار الزمني، وعدد الساعات، والمنطقة الزمنية لتناسب احتياجات المتداول.
2- التداول: راقب إشارات (الشراء/البيع) ومستويات جني الأرباح لتحديد نقاط الدخول والخروج.
3- خطوط الاتجاه: استخدمها لفهم الاتجاه العام وتأكيد الإشارات.
1. الهدف: تحديد فرص التداول بناءً على اختراقات الأسعار
- فرص التداول: صُمم هذا المؤشر لمساعدة المتداولين على تحديد اللحظات التي يُحتمل فيها حدوث تحركات سعرية كبيرة، مما يسمح لهم بالدخول في صفقات شراء أو بيع بناءً على تغيرات السوق.
- اختراقات الأسعار: يُركز المؤشر على اللحظات التي تخترق فيها الأسعار مستويات رئيسية (مقاومة أو دعم). يحدث الاختراق عندما يتجاوز السعر مستوى مقاومة (صعودًا) أو يخترق مستوى دعم (هبوطًا)، مما يُشير إلى احتمال استمرار الحركة في نفس الاتجاه.
- ديناميكي: مستويات المقاومة والدعم ليست ثابتة؛ بل تُحسب بناءً على تحليل الشموع اليابانية على مدى فترة زمنية محددة، مما يجعلها مُكيفة مع ظروف السوق الحالية.
2. المستويات الديناميكية (مستويات المقاومة والدعم)
- مستويات المقاومة: تُمثل هذه الأسعار التي يصعب على السعر تجاوزها، وتُعرف هنا بأنها ارتفاع الشمعة الأكثر أهمية خلال الفترة المحددة.
- مستويات الدعم: تُمثل هذه الأسعار التي يصعب على السعر الانخفاض دونها، وتُعرف بأنها أدنى مستوى للشمعة الأكثر أهمية.
- ديناميكي: تُعاد حساب هذه المستويات مع كل فترة بحث جديدة (ساعات البحث)، مما يعني أنها تتغير بناءً على أحدث بيانات السوق، على عكس المستويات الثابتة التقليدية.
3. إضافة خط مركزي منقط
- خط المركز: يُرسم خط أفقي منقط عند نقطة المنتصف بين أعلى وأدنى شمعة ذات أهمية.
- الغرض:
- يوفر نقطة مرجعية بصرية لتحديد وضع السعر الحالي بالنسبة لمستويات الدعم والمقاومة.
- يساعد في تقييم ما إذا كان السعر يتحرك نحو اختراق (بالقرب من المقاومة) أو اختراق (بالقرب من الدعم).
- منقط: يُميزه النمط المنقط عن الخطوط العلوية والسفلية المتصلة، مما يُسهّل تمييزه بصريًا.
4. الاعتماد على تحليل الشموع اليابانية على مدى فترة زمنية محددة (ساعات البحث)
- تحليل الشموع اليابانية: يفحص المؤشر الشموع اليابانية لتحديد أيها الأكثر تأثيرًا على حركة السعر.
- الإطار الزمني (ساعات البحث):
- يُحدد المستخدم عدد الساعات (من 1 إلى 6) لتحليل الشموع، والذي يُحدد نطاق البيانات التي يعتمد عليها المؤشر.
- مثال: إذا كانت ساعات البحث = 3 والإطار الزمني = 30 دقيقة، فسيتم تحليل 6 شموع (3 ساعات ÷ 30 دقيقة).
- المرونة: يُمكن تعديل هذه الفترة لتناسب الأسواق المختلفة (مثل العملات المشفرة المتقلبة أو سوق الفوركس الأكثر استقرارًا).
5. تحديد الشمعة الأكثر أهمية بناءً على أنماط الشموع وحجم التداول
- الشمعة الأكثر أهمية: هي الشمعة التي يُعتقد أن لها التأثير الأكبر على حركة السعر بناءً على معايير محددة.
- أنماط الشموع:
- يتم تحليل الشموع باستخدام مكتبة أنماط الشموع (مثل شمعة الابتلاع، وشمعة المطرقة، وشمعة الدوجي).
- تُمنح أنماط الانعكاس (مثل نجمة الصباح، ونجم الشهاب) درجة أهمية عالية (100 نقطة) لأنها تُشير إلى تغيرات محتملة في الاتجاه.
- حجم التداول:
- يُقاس حجم تداول كل شمعة ويُقارن بالحد الأقصى والأدنى خلال الفترة.
- يُحسب الحجم كنسبة مئوية (0-100) ويُضاف إلى درجة النمط لتحديد الشمعة الأكثر أهمية.
- النتيجة: تُستخدم الشمعة ذات أعلى درجة (الأنماط + الحجم) لتحديد مستويات الدعم والمقاومة.
٦. الإطار الزمني
- الفاصل الزمني: يختار المستخدم إطارًا زمنيًا للشموع (١٥، ٣٠، أو ٦٠ دقيقة).
- الأهمية:
- يحدد عدد الشموع المُحللة خلال فترة ساعات البحث.
- يؤثر على دقة وسرعة الإشارات (الإطار الزمني الأقصر = إشارات أسرع ولكن أقل موثوقية؛ الإطار الزمني الأطول = إشارات أبطأ ولكن أكثر موثوقية).
- مثال: إذا كان الإطار الزمني ٦٠ دقيقة وساعات البحث ٣، فسيتم تحليل ٣ شموع فقط.
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٧. رسم مستويات الاختراق وأهداف جني الأرباح (TP)
- مستويات الاختراق:
- الخط العلوي (المقاومة): يُرسم عند أعلى سعر للشمعة الأكثر أهمية ويُسمى "CALL".
- الخط السفلي (الدعم): يُرسم عند أدنى سعر للشمعة الأكثر أهمية ويُسمى "PUT".
- تمثل هذه الخطوط المستويات التي يُتوقع أن يؤدي فيها الاختراق إلى حركة سعرية قوية.
- أهداف جني الأرباح (TP):
- يتم حساب ما يصل إلى 8 مستويات جني أرباح صعودية (فوق الخط العلوي) وهبوطية (تحت الخط السفلي).
- يتم حسابها بناءً على نسبة مئوية (tpPercentage) تُضاف أو تُطرح من خطوط الأساس.
- مثال: إذا كانت نسبة جني الأرباح = 0.6% وكان أعلى سعر = 100، فإن هدف الربح الصعودي الأول = 100.6، وهدف الربح الثاني = 101.2، وهكذا.
- العلامات: تُرسم علامات لكل مستوى جني أرباح تشير إلى القيمة والمستوى (TP1، TP2، وهكذا).
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8. إشارات الشراء والبيع
- إشارة الشراء (BUY):
- تُولّد عند اختراق السعر للخط العلوي (ta.crossover).
- تُرسم علامة "الشراء" مع إعادة رسم مستويات جني الأرباح.
- إشارة البيع (SELL):
- تُولّد عند اختراق السعر للخط السفلي (ta.crossunder). - يُرسم مؤشر "بيع" مع إعادة رسم مستويات جني الأرباح.
- الغرض: توفير إشارات واضحة للمتداول لاتخاذ قرارات دخول الصفقة.
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شكرًا لكم، أيها المتداولون الجدد.
لاستخدام مكتبة الاستيراد: n00btraders/Timezone/1
لاستخدام مكتبة الاستيراد: The_lurker/AllCandlestickPatternsLibrary/1
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إخلاء مسؤولية:
لا يُقصد بهذه المعلومات والمنشورات أن تكون، ولا تُشكل، نصائح أو توصيات مالية أو استثمارية أو تجارية أو أي نوع آخر من النصائح أو التوصيات المُقدمة من TradingView أو المُعتمدة منها.
Stochastic RSI with MTF TableShort Description of the Script
The provided Pine Script indicator, titled "Stochastic RSI with MTF Table," calculates and displays the Stochastic RSI for the current timeframe and multiple other timeframes (5m, 15m, 30m, 60m, 240m, and daily). The Stochastic RSI is a momentum indicator that blends the Relative Strength Index (RSI) and Stochastic Oscillator to identify overbought and oversold conditions, as well as potential trend reversals via K and D line crossovers.
Key features of the script include:
Inputs: Customizable parameters such as K smoothing (default 3), D smoothing (default 3), RSI length (default 14), Stochastic length (default 14), source price (default close), and overbought/oversold levels (default 80/20).
MTF Table: A table displays the Stochastic RSI status for each timeframe:
"OB" (overbought) if K > 80, "OS" (oversold) if K < 20, or "N" (neutral) otherwise.
Crossovers: "K↑D" for bullish (K crosses above D) and "K↓D" for bearish (K crosses below D).
Visualization: Plots the K and D lines for the current timeframe, with horizontal lines at 80 (overbought), 50 (middle), and 20 (oversold), plus a background fill for clarity.
Table Position: Configurable to appear in one of four chart corners (default: top-right).
This indicator helps traders assess momentum across multiple timeframes simultaneously, aiding in the identification of trend strength and potential entry/exit points.
Trading Strategy with 50EMA and 200EMA for Highest Winning Rate
To create a strategy with the best probability of a high winning rate using the Stochastic RSI MTF indicator alongside the 50-period Exponential Moving Average (50EMA) and 200-period Exponential Moving Average (200EMA), we can combine trend identification with momentum-based entry timing. The 50EMA and 200EMA are widely used to determine medium- and long-term trends, while the Stochastic RSI MTF table provides multi-timeframe momentum signals. Here’s the strategy:
1. Determine the Overall Trend
Bullish Trend: The 50EMA is above the 200EMA on the current timeframe (e.g., daily or 60m chart). This suggests an uptrend, often associated with a "Golden Cross."
Bearish Trend: The 50EMA is below the 200EMA on the current timeframe. This indicates a downtrend, often linked to a "Death Cross."
Implementation: Plot the 50EMA and 200EMA on your chart and visually confirm their relative positions.
2. Identify Entry Signals Using the Stochastic RSI MTF Table
In a Bullish Trend (50EMA > 200EMA):
Look for timeframes in the MTF table showing:
Oversold (OS): K < 20, indicating a potential pullback in the uptrend where price may rebound.
Bullish Crossover (K↑D): K crosses above D, signaling rising momentum and a potential entry point.
Example: If the 60m and 240m timeframes show "OS" or "K↑D," this could be a buy signal.
In a Bearish Trend (50EMA < 200EMA):
Look for timeframes in the MTF table showing:
Overbought (OB): K > 80, suggesting a rally in the downtrend where price may reverse downward.
Bearish Crossover (K↓D): K crosses below D, indicating declining momentum and a potential short entry.
Example: If the 30m and daily timeframes show "OB" or "K↓D," this could be a sell/short signal.
Current Timeframe Check: Use the plotted K and D lines on your trading timeframe for precise entry timing (e.g., confirm a K↑D crossover on a 60m chart for a long trade).
3. Confirm Signals Across Multiple Timeframes
Strengthen the Signal: A higher winning rate is more likely when multiple timeframes align with the trend and signal. For instance:
Bullish trend + "OS" or "K↑D" on 60m, 240m, and daily = strong buy signal.
Bearish trend + "OB" or "K↓D" on 15m, 60m, and 240m = strong sell signal.
Prioritize Higher Timeframes: Signals from the 240m or daily timeframe carry more weight due to their indication of broader trends, increasing reliability.
4. Set Stop-Loss and Take-Profit Levels
Long Trades (Bullish):
Stop-Loss: Place below the most recent swing low or below the 50EMA, whichever is closer, to protect against trend reversals.
Take-Profit: Target a key resistance level or use a risk-reward ratio (e.g., 2:1 or 3:1) based on the stop-loss distance.
Short Trades (Bearish):
Stop-Loss: Place above the most recent swing high or above the 50EMA, whichever is closer.
Take-Profit: Target a key support level or apply a similar risk-reward ratio.
Trailing Stop Option: As the trend progresses, trail the stop below the 50EMA (for longs) or above it (for shorts) to lock in profits.
5. Risk Management
Position Sizing: Risk no more than 1-2% of your trading capital per trade to minimize losses from false signals.
Volatility Consideration: Adjust stop-loss distances and position sizes based on the asset’s volatility (e.g., wider stops for volatile stocks or crypto).
Avoid Overtrading: Wait for clear alignment between the EMA trend and MTF signals to avoid low-probability setups.
Example Scenario
Chart: 60-minute timeframe.
Trend: 50EMA > 200EMA (bullish).
MTF Table: 60m shows "OS," 240m shows "K↑D," and daily is "N."
Action: Enter a long position when the 60m K line crosses above D, confirming the table signal.
Stop-Loss: Below the recent 60m swing low (e.g., 2% below entry).
Take-Profit: At the next resistance level or a 3:1 reward-to-risk ratio.
Outcome: High probability of success due to trend alignment and multi-timeframe confirmation.
Why This Strategy Works
Trend Following: Trading in the direction of the 50EMA/200EMA trend reduces the risk of fighting the market’s momentum.
Momentum Timing: The Stochastic RSI MTF table pinpoints pullbacks or reversals within the trend, improving entry timing.
Multi-Timeframe Confirmation: Alignment across timeframes filters out noise, increasing the win rate.
Risk Control: Defined stop-loss and position sizing protect against inevitable losses.
Caveats
No strategy guarantees a 100% win rate; false signals can occur, especially in choppy markets.
Test this strategy on historical data or a demo account to verify its effectiveness for your asset and timeframe.
This approach leverages the strengths of both trend-following (EMA) and momentum (Stochastic RSI) tools, aiming for a high-probability, disciplined trading system.
Bollinger Volatility AnalyzerThe Bollinger Volatility Analyzer (BVA) is a powerful enhancement of the traditional Bollinger Bands indicator, tailored to help traders identify volatility cycles and catch potential breakouts with better precision and timing. It builds upon the foundational concept of Bollinger Bands—using a moving average and standard deviation bands—but adds crucial insights into market contraction and expansion, which can be instrumental in timing entries and exits.
Here's how it works and why it's useful
At its core, the indicator calculates a moving average (called the "basis") and plots two bands—one above and one below—based on a multiple of standard deviation. These bands expand during volatile periods and contract during quiet ones. The width between these bands, normalized as a percentage of the basis, gives us a sense of how compressed or expanded the market currently is. When the band width drops below a user-defined threshold (like 2%), the script highlights this with an orange triangle below the bar. This is the "squeeze" condition, signaling a potential buildup of market energy—a kind of calm before the storm.
What makes this version of Bollinger Bands particularly powerful is that it not only detects squeezes, but also tells you when price breaks out of that squeeze range. If price closes above the upper band after a squeeze, a green "Breakout ↑" label is shown; if it closes below the lower band, a red "Breakout ↓" appears. These breakout labels act as entry signals, suggesting that volatility is returning and a directional move has begun.
This indicator is especially useful in markets that tend to alternate between consolidation and breakout phases, such as forex, crypto, and even individual stocks. Traders who look for early signs of momentum—whether for swing trading, scalping, or position building—can benefit from this tool. During a quiet market phase, the indicator warns you that a move might be coming; when the move starts, it tells you the direction.
In fast-moving markets, BVA helps filter out noise by focusing only on high-probability conditions: quiet consolidation followed by a strong breakout. It’s not a complete system by itself—it works best when paired with volume confirmation or oscillators like RSI—but as a volatility trigger and directional guide, it’s a reliable component of a trading workflow.
Moving Volume-Weighted Avg Price, % Channel, BBsThis script includes:
- Moving Volume-Weighted Average Price line.
- User-defined % band above and below, very useful for "breakout" signals, and mentally adjusting to the magnitude of price swings when viewing an automatic scale on the price axis.
- Volume-Weighted Bollinger Bands, which are more sensitive to volume.
More detail:
- This is like TV's basic VWAP in concept, except the major flaw in that is that it has reset periods that you can't override, and the volume is cumulative until the next hard reset. The 'reset' is OK for securities trading, that resets every day anyway. But not for crypto - and not if/when securities trading goes 24/7. Also, the denominator accumulating over the entire period is also *not* OK, because then what is shown means something different as the day progresses - which kind of makes it useless. In other words, it starts out very sensitive to volume, and gets progressively more numb to it as they day progresses, and starts flattening out.
- This fixes both problems, by using a user-definable moving window for the average. Essentially combining SMA with volume-weighting.
- You may also find an invaluable trading aid, in the % bands above and below.
- What can optionally be shown is standard deviation bands, aka Bollinger bands. The advantage over regular BB is that it's volume-weighted. Since it is already calculated on a moving average, the period for the standard deviation has been shortened by default, and the magnitude increased, to better approximate regular Bollinger Bands - but it's still more responsive to volume.
Volumetric Entropy IndexVolumetric Entropy Index (VEI)
A volume-based drift analyzer that captures directional pressure, trend agreement, and entropy structure using smoothed volume flows.
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🧠 What It Does:
• Volume Drift EMAs : Shows buy/sell pressure momentum with adaptive smoothing.
• Dynamic Bands : Bollinger-style volatility wrappers react to expanding/contracting drift.
• Baseline Envelope : Clean structural white rails for mean-reversion zones or trend momentum.
• Background Shading : Highlights when both sides (up & down drift) are in agreement — green for bullish, red for bearish.
• Alerts Included : Drift alignment, crossover events, net drift shifts, and strength spikes.
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🔍 What Makes It Different:
• Most volume indicators rely on bars, oscillators, or OBV-style accumulation — this doesn’t.
• It compares directional EMAs of raw volume to isolate real-time bias and acceleration.
• It visualizes the twisting tension between volume forces — not just price reaction.
• Designed to show when volatility is building inside the volume mechanics before price follows.
• Modular — every element is optional, so you can run it lean or fully loaded.
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📊 How to Use It:
• Drift EMAs : Watch for one side consistently dominating — sharp spikes often precede breakouts.
• Bands : When they tighten and start expanding, it often signals directional momentum forming.
• Envelope Lines : Use as high-probability reversal or continuation zones. Bands crossing envelopes = potential thrust.
• Background Color : Green/red backgrounds confirm volume agreement. Can be used as a filter for other signals.
• Net Drift : Optional smoothed oscillator showing the difference between bullish and bearish volume pressure. Crosses above or below zero signal directional bias shifts.
• Drift Strength : Measures pressure buildup — spikes often correlate with large moves.
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⚙️ Full Customization:
• Turn every layer on/off independently
• Modify all colors, transparencies, and line widths
• Adjust band width multiplier and envelope offset (%)
• Toggle bonus plots like drift strength and net baseline
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🧪 Experimental Tools:
• Smoothed Net Drift trace
• Drift Strength signal
• Envelope lines and dynamic entropy bands with adjustable math
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Built for signal refinement. Made to expose directional imbalance before the herd sees it.
Created by @Sherlock_Macgyver
Hybrid Swing/Day Alert System - PLATINUM EditionThis indicator is a complete trading assistant designed for crypto swing and day traders, built to identify high-probability long and short setups based on a multi-confirmation system.
Strategy Logic
The system scans and confirms entries only when 6 major confluences align:
1. EMA Trend: Price is above or below the EMA 9, 21, and 200 (bullish or bearish trend).
2. RSI Zone: RSI(14) is between 40-60 (ideal reversal zone).
3. Volume Confirmation: Volume is declining on pullback and then spikes.
4. Accumulation/Distribution: A/D line rising (for longs) or falling (for shorts).
5. Fibonacci Pullback Zone: Automatic detection of swing high/low and checks if price is inside the golden zone (0.5-0.618).
Built-In Alerts
- Long Setup Confirmed - Short Setup Confirmed - Setup Forming: Monitor
Conclusion
This script is ideal for disciplined traders who value confluence-based entries, risk/reward logic, and trend-aligned trades. Perfect for semi-automated trading via alerts or manual execution.6. Candle Pattern: Bullish (hammer, doji, engulfing) or Bearish (rejection wick, engulfing, doji).
Visual Features
- Long Entry: Green square
- Short Entry: Red triangle
- Pre-Signal Alert: Blue circle (confluence forming)
- Dynamic Table: Displays all 6 confirmations in real time
- Fibonacci Zones: Auto-plotted long/short retracement zones
- Customizable: Turn on/off alerts, overlays, and direction filters
Best Use Cases
- 4H/Daily: Trend confirmation
- 1H: Entry execution
- 15min: Scalping (use cautiously)
- Works great with BTC, ETH, SOL, XAU, and meme coins
Max Trend Points [BigBeluga]🔵 OVERVIEW
A clean and powerful tool for identifying major trend shifts and quantifying the strength of each move using dynamically calculated price extremes.
This indicator helps traders visualize the most significant trend changes by plotting trend direction lines and dynamically tracking the highest or lowest point within each trend leg. It’s ideal for identifying key price impulses and measuring their magnitude in real time.
🔵 CONCEPTS
Uses an adaptive trend-following logic based on volatility envelopes created from HMA of the price range (high - low).
Identifies trend direction and flips when price breaks above or below these dynamic envelopes.
Tracks swing highs and lows within the current trend leg to highlight trend extremes.
Calculates and displays the percentage gain or drop from trend start to trend peak/valley.
🔵 FEATURES
Trend Shift Detection:
Plots a colored trend line (uptrend or downtrend) that updates based on price action volatility.
Impulse Mapping:
Draws a dashed line between the point of trend change (close) and the current trend leg's extreme (highest high or lowest low).
Percentage Labeling:
Displays a floating label showing the exact percent change from the trend start to the current extreme.
Real-Time Adjustments:
As the trend progresses, the extreme point and the percent label update automatically to reflect new highs/lows.
🔵 HOW TO USE
Look for the trend color shift and circular marker to identify a new potential trend direction.
Use the dashed lines and percent label to evaluate the strength and potential maturity of each move.
Combine this tool with support/resistance levels or other indicators to identify confluence zones.
Adjust the "Factor" input to make the trend detection more or less sensitive depending on your timeframe.
🔵 CONCLUSION
Max Trend Points is an efficient visual indicator for understanding the structure and magnitude of trending moves. It provides essential feedback on how far a trend has traveled, where momentum may be peaking, and when a shift may be underway—all with real-time adaptability and clean presentation.
Angel Signal proAngel Signal Pro is a comprehensive technical analysis tool that integrates multiple indicators for a structured market assessment.
RSI, MACD, and ADX — evaluate trend strength and identify potential entry and exit points.
Momentum and ATR — measure price acceleration and volatility, assisting in risk management.
Stochastic Oscillator — detects overbought and oversold conditions.
SMA (50, 100, 200) — tracks key moving averages with the option to enable all at once.
Cryptocurrency price display — select and monitor real-time prices of any cryptocurrency available on the BINANCE exchange.
Automatic trend detection— classifies trends as bullish, bearish, or neutral based on RSI and MACD signals.
Customizable table — presents key indicator values in a structured and convenient format. The table also provides automatic trend detection across different timeframes (TF), allowing you to assess the current market situation more accurately on various levels.
Automatic gap detection — identifies market gaps, helping to spot potential trading opportunities.
Buy and sell signals — the system generates buy and sell signals based on the analysis of five key indicator values, allowing traders to respond quickly to market changes.
Bollinger Bands — helps assess market volatility and identify support and resistance levels, as well as potential reversal points, by detecting when prices move outside of normal volatility ranges.
Customization settings — in Angel Signal Pro, you can select which indicators and features you want to display. All elements can be turned on or off according to your preferences. There is also the ability to change colors and the appearance of each element, allowing you to tailor the interface to your personal preferences and make the tool more convenient to use.
Angel Signal Pro is suitable for traders of all experience levels and helps navigate market conditions with confidence.
29 мар.
Информация о релизе
Added Super Trend, improved the quality of buy and sell signals, and enhanced settings. Now, all toggle buttons for enabling and disabling indicators follow one another.
30 мар.
Информация о релизе
Fixed several errors in the settings and improved gap search.
Pullback Setup HelperThe Pullback Setup Helper is a visual tool designed to assist traders in identifying high-probability pullback entry zones in both bullish and bearish trends. It dynamically calculates support and resistance pullback areas using a combination of recent price extremes and ATR-based volatility measures.
The indicator plots two main zones: one for potential long setups beneath recent highs, and another for short setups above recent lows. These zones are derived from configurable multipliers of the ATR to define depth and width, with an additional buffer to allow for slight overshoots or market noise.
Signals are generated when price enters a pullback zone and closes in the direction of the trend, using a relaxed condition (close > previous close for longs, close < previous close for shorts) to increase signal frequency. Entry signals appear as triangles on the chart, with optional alerts available for both long and short scenarios.
This tool is best used as a contextual guide to support trend-continuation trades, particularly when combined with additional confirmation from momentum or volume indicators.
Q Momentum FlowQ Momentum Flow
A hybrid trend engine combining breakout-driven momentum shifts with adaptive volatility bands. Designed for traders who want clear entries, intelligent exits, and a balance between reactivity and noise control.
🔧 Core Features
1. Momentum Shift Detection
• Uses dynamic breakout levels (ATR-based) to identify impulse-driven price shifts.
• Filters weak moves by enforcing a cooldown period and direction alternation.
2. Adaptive Trend Framework
• Trend direction is derived from a dual-EMA anchor with dynamic volatility bands.
• Sensitivity automatically adjusts based on smoothed price deviation.
3. Entry & Exit System
• Buy and sell arrows appear on valid momentum + trend alignment.
• Exit markers signal early trend weakening before full reversal.
• Arrows and labels are visually separated to reduce chart clutter.
4. Alerts (Fully Integrated)
• Buy and Sell alerts on valid entry triggers.
• Separate alerts for early exits based on weakening trend conditions.
• Compatible with automation or notification setups.
⚙️ Configurable Inputs
• Trend Length — Controls how fast the adaptive bands react.
• Smoothing — Smooths volatility for more stable band generation.
• Sensitivity — Adjusts band width and breakout tolerance.
• Visual Settings — Customize background color, arrow styles, and label size.
• Exit Logic — Built-in reversal detection to signal when trend weakens.
📈 How to Use
• Follow Buy/Sell arrows for directional entries.
• Stay in trade until either:
— Opposite signal appears, or
— “Exit” label triggers based on adaptive trend weakening.
• Use background and bar colors for regime clarity.
Smart Trend Lines [The_lurker]
Smart Trend Lines
A multi-level trend classifier that detects bullish and bearish conditions using a methodology based on drawing trend lines—main, intermediate, and short-term—by identifying peaks and troughs. The tool highlights trend strength by applying filters such as the Average Directional Index (ADX) (A), Relative Strength Index (RSI) (R), and Volume (V), making it easier to interpret trend strength. The filter markers (V, A, R) in the Smart Trend Lines indicator are powerful tools for assessing the reliability of breakouts. Breakouts containing are the most reliable, as they indicate strong volume support, trend strength, and favorable momentum. Breakouts with partial filters (such as or ) require additional confirmation, while breakouts without filters ( ) should be avoided unless supported by other strong signals. By understanding the meaning of each filter and the market context.
Core Functionality
1. Trend Line Types
The indicator generates three distinct trend line categories, each serving a specific analytical purpose:
Main Trend Lines: These are long-term trend lines designed to capture significant market trends. They are calculated based on pivot points over a user-defined period (default: 50 bars). Main trend lines are ideal for identifying macro-level support and resistance zones.
Mid Trend Lines: These are medium-term trend lines (default: 21 bars) that focus on intermediate price movements. They provide a balance between short-term fluctuations and long-term trends, suitable for swing trading strategies.
Short Trend Lines: These are short-term trend lines (default: 9 bars) that track rapid price changes. They are particularly useful for scalping or day trading, highlighting immediate support and resistance levels.
Each trend line type can be independently enabled or disabled, allowing traders to tailor the indicator to their preferred timeframes.
2. Breakout Detection
The indicator employs a robust breakout detection system that identifies when the price crosses a trend line, signaling a potential trend reversal or continuation. Breakouts are validated using the following filters:
ADX Filter: The Average Directional Index (ADX) measures trend strength. A user-defined threshold (default: 20) ensures that breakouts occur during strong trends, reducing false signals in range-bound markets.
RSI Filter: The Relative Strength Index (RSI) identifies overbought or oversold conditions. Breakouts are filtered based on RSI thresholds (default: 65 for overbought, 35 for oversold) to avoid signals in extreme market conditions.
Volume Filter: Breakouts are confirmed only when trading volume exceeds a moving average (default: 20 bars) and aligns with the breakout direction (e.g., higher volume on bullish breakouts when the candle closes higher).
Breakout events are marked with labels on the chart, indicating the type of trend line broken (Main, Mid, or Short) and the filters satisfied (Volume, ADX, RSI). Alerts are triggered for each breakout, providing real-time notifications.
3. Customization Options
The indicator offers extensive customization through input settings, organized into logical groups for ease of use:
Main Trend Line Settings
Length: Defines the number of bars used to calculate pivot points (default: 50).
Bullish Color: Color for upward-sloping (bullish) main trend lines (default: green).
Bearish Color: Color for downward-sloping (bearish) main trend lines (default: red).
Style: Line style options include solid, dashed, or dotted (default: solid).
Mid Trend Line Settings
Length: Number of bars for mid-term pivot points (default: 21).
Show/Hide: Toggle visibility of mid trend lines (default: enabled).
Bullish Color: Color for bullish mid trend lines (default: lime).
Bearish Color: Color for bearish mid trend lines (default: maroon).
Style: Line style (default: dashed).
Short Trend Line Settings
Length: Number of bars for short-term pivot points (default: 9).
Show/Hide: Toggle visibility of short trend lines (default: enabled).
Bullish Color: Color for bullish short trend lines (default: teal).
Bearish Color: Color for bearish short trend lines (default: purple).
Style: Line style (default: dotted).
General Display Settings
Break Check Price: Selects the price type for breakout detection (Close, High, or Low; default: Close).
Show Previous Trendlines: Option to display historical main trend lines (default: disabled).
Label Size: Size of breakout labels (Tiny, Small, Normal, Large, Huge; default: Small).
Filter Settings
ADX Threshold: Minimum ADX value for trend strength confirmation (default: 25).
Volume MA Period: Period for the volume moving average (default: 20).
RSI Filter: Enable/disable RSI filtering (default: enabled).
RSI Upper Threshold: Upper RSI limit for overbought conditions (default: 65).
RSI Lower Threshold: Lower RSI limit for oversold conditions (default: 35).
4. Technical Calculations
The indicator relies on several technical calculations to ensure accuracy:
Pivot Points: Pivot highs and lows are detected using the ta.pivothigh and ta.pivotlow functions, with separate lengths for Main, Mid, and Short trend lines.
Slope Calculation: The slope of each trend line is calculated as the change in price divided by the change in bar index between two pivot points.
ADX Calculation: ADX is computed using a 14-period Directional Movement Index (DMI), with smoothing over 14 bars.
RSI Calculation: RSI is calculated over a 14-period lookback using the ta.rsi function.
Volume Moving Average: A simple moving average (SMA) of volume is used to determine if current volume exceeds the average.
5. Strict Mode Validation
To ensure the reliability of trend lines, the indicator employs a strict mode check:
For bearish trend lines, all prices between pivot points must remain below the projected trend line.
For bullish trend lines, all prices must remain above the projected trend line.
Post-pivot break checks ensure that no breakouts occur between pivot points, enhancing the validity of the trend line.
6. Trend Line Extension
Trend lines are dynamically extended forward until a breakout occurs. The extension logic:
Projects the trend line using the calculated slope.
Continuously validates the extension using strict mode checks.
Stops extension upon a breakout, fixing the trend line at the breakout point.
7. Alerts and Labels
Labels: Breakout labels are placed above (for bearish breakouts) or below (for bullish breakouts) the price bar. Labels include:
A prefix indicating the trend line type (B for Main, M for Mid, S for Short).
A suffix showing satisfied filters (e.g., for Volume, ADX, and RSI).
Alerts: Each breakout triggers a one-time alert per bar close, with a descriptive message indicating the trend line type and filters met.
Detailed Code Breakdown
1. Initialization and Inputs
The script begins by defining the indicator with indicator('Smart Trend Lines ', overlay = true), ensuring it overlays on the price chart. Input settings are grouped into categories (Main, Mid, Short, General Display, Filters) for user convenience. Each input includes a tooltip in both English and Arabic, enhancing accessibility.
2. Technical Indicator Calculations
Volume MA: Calculated using ta.sma(volume, volPeriod) to compare current volume against the average.
ADX: Computed using custom dirmov and adx functions, which calculate the Directional Movement Index and smooth it over 14 periods.
RSI: Calculated with ta.rsi(close, rsiPeriod) over 14 periods.
Price Selection: The priceToCheck function selects the price type (Close, High, or Low) for breakout detection.
3. Pivot Detection
Pivot points are detected using ta.pivothigh and ta.pivotlow for each trend line type. The lookback period is set to the respective trend line length (e.g., 50 for Main, 21 for Mid, 9 for Short).
4. Trend Line Logic
For each trend line type (Main, Mid, Short):
Bearish Trend Lines: Identified when two consecutive pivot highs form a downward slope. The script validates the trend line using strict mode and post-pivot break checks.
Bullish Trend Lines: Identified when two consecutive pivot lows form an upward slope, with similar validation.
Trend lines are drawn using line.new, with separate lines for the initial segment (between pivots) and the extended segment (from the second pivot forward).
5. Breakout Detection and Labeling
Breakouts are detected when the selected price crosses the trend line level. The script checks:
Volume conditions (above average and aligned with candle direction).
ADX condition (above threshold).
RSI condition (within thresholds if enabled). Labels are created with label.new, and alerts are triggered with alert.
6. Trend Line Extension
The extendTrendline function dynamically updates the trend line’s endpoint unless a breakout occurs. It uses strict mode checks to ensure the trend line remains valid.
7. Previous Trend Lines
If enabled, previous main trend lines are stored in arrays (previousBearishStartLines, previousBullishTrendLines, etc.) and displayed on the chart, providing historical context.
Disclaimer:
The information and publications are not intended to be, nor do they constitute, financial, investment, trading, or other types of advice or recommendations provided or endorsed by TradingView.
Q KAMA Clarity Trend Q KAMA Clarity Trend
A minimalistic yet versatile trend-following tool that combines **Kaufman’s Adaptive Moving Average (KAMA) with Gaussian smoothing and ATR-based breakout logic. Built for traders who value clarity, responsiveness, and visual simplicity.
🔧 Core Features
1. Adaptive KAMA Trend Line
• Dynamically adjusts to market volatility using Kaufman’s KAMA.
• Gaussian filter pre-smooths price to reduce noise before calculating KAMA.
2. Dual Trend Logic (toggle)
• Default: Trend shifts on price breakouts above/below KAMA ± ATR channel.
• Alternative: Faster signals based on price crossing KAMA directly.
3. Visual Feedback
• Auto-colored KAMA line based on trend direction (up/down/neutral).
• Arrows on trend reversals (up = green, down = red).
• Optional shadow fill below line for regime clarity.
• Optional dot marker ("⦿") on the KAMA line to show trend shifts.
4. Alerts
• Real-time alerts when a new uptrend or downtrend begins.
• Compatible with manual or automated strategies.
⚙️ Configurable Inputs
• Source: Price input (default: close)
• KAMA Length: Adjusts sensitivity (longer = smoother)
• ATR Length & Multiplier: Defines channel width for breakout detection
• Gaussian Filter (Length & Sigma): Controls smoothing strength
• Trend Logic Mode: ATR channel breakout vs. price-KAMA cross
• Style: Custom colors, background fill, marker visibility
📈 How to Use
• Follow trend arrows for directional confirmation
• Use ATR breakout mode for cleaner, filtered signals
• Switch to price-KAMA crossover mode for earlier entries
• Works well with structure, momentum, and volume confirmation
