Real-Time Data Error Check _byMDKTests back if there was missing data/bar with respect to selected timeframe and source.
Experienced red data (no-real time data is available) so i come up with the idea.
Regards.
i.redd.it
Multitimeframe
Squeeze Pro Multi Time-Frame Analysis V2See all table time frames no matter what time frame chart you are on.
Multi-Timeframe RSI Grid Strategy with ArrowsKey Features of the Strategy
Multi-Timeframe RSI Analysis:
The strategy calculates RSI values for three different timeframes:
The current chart's timeframe.
Two higher timeframes (configurable via higher_tf1 and higher_tf2 inputs).
It uses these RSI values to identify overbought (sell) and oversold (buy) conditions.
Grid Trading System:
The strategy uses a grid-based approach to scale into trades. It adds positions at predefined intervals (grid_space) based on the ATR (Average True Range) and a grid multiplication factor (grid_factor).
The grid system allows for pyramiding (adding to positions) up to a maximum number of grid levels (max_grid).
Daily Profit Target:
The strategy has a daily profit target (daily_target). Once the target is reached, it closes all open positions and stops trading for the day.
Drawdown Protection:
If the open drawdown exceeds 2% of the account equity, the strategy closes all positions to limit losses.
Reverse Signals:
If the RSI conditions reverse (e.g., from buy to sell or vice versa), the strategy closes all open positions and resets the grid.
Visualization:
The script plots buy and sell signals as arrows on the chart.
It also plots the RSI values for the current and higher timeframes, along with overbought and oversold levels.
How It Works
Inputs:
The user can configure parameters like RSI length, overbought/oversold levels, higher timeframes, grid spacing, lot size multiplier, maximum grid levels, daily profit target, and ATR length.
RSI Calculation:
The RSI is calculated for the current timeframe and the two higher timeframes using ta.rsi().
Grid System:
The grid system uses the ATR to determine the spacing between grid levels (grid_space).
When the price moves in the desired direction, the strategy adds positions at intervals of grid_space, increasing the lot size by a multiplier (lot_multiplier) for each new grid level.
Entry Conditions:
A buy signal is generated when the RSI is below the oversold level on all three timeframes.
A sell signal is generated when the RSI is above the overbought level on all three timeframes.
Position Management:
The strategy scales into positions using the grid system.
It closes all positions if the daily profit target is reached or if a reverse signal is detected.
Visualization:
Buy and sell signals are plotted as arrows on the chart.
RSI values for all timeframes are plotted, along with overbought and oversold levels.
Example Scenario
Suppose the current RSI is below 30 (oversold), and the RSI on the 60-minute and 240-minute charts is also below 30. This triggers a buy signal.
The strategy enters a long position with a base lot size.
If the price moves against the position by grid_space, the strategy adds another long position with a larger lot size (scaled by lot_multiplier).
This process continues until the maximum grid level (max_grid) is reached or the daily profit target is achieved.
Key Variables
grid_level: Tracks the current grid level (number of positions added).
last_entry_price: Tracks the price of the last entry.
base_size: The base lot size for the initial position.
daily_profit_target: The daily profit target in percentage terms.
target_reached: A flag to indicate whether the daily profit target has been achieved.
Potential Use Cases
This strategy is suitable for traders who want to combine RSI-based signals with a grid trading approach to capitalize on mean-reverting price movements.
It can be used in trending or ranging markets, depending on the RSI settings and grid parameters.
Limitations
The grid trading system can lead to significant drawdowns if the market moves strongly against the initial position.
The strategy relies heavily on RSI, which may produce false signals in strongly trending markets.
The daily profit target may limit potential gains in highly volatile markets.
Customization
You can adjust the input parameters (e.g., RSI length, overbought/oversold levels, grid spacing, lot multiplier) to suit your trading style and market conditions.
You can also modify the drawdown protection threshold or add additional filters (e.g., volume, moving averages) to improve the strategy's performance.
In summary, this script is a sophisticated trading strategy that combines RSI-based signals with a grid trading system to manage entries, exits, and position sizing. It includes features like daily profit targets, drawdown protection, and multi-timeframe analysis to enhance its robustnes
Fractal Time/Price Scaling Invariance//@version=6
indicator("Fractal Time/Price Scaling Invariance", overlay=true, shorttitle="FTSI v1.2")
// Zeitliche Oktaven-Konfiguration
inputShowTimeOctaves = input(true, "Zeit-Oktaven anzeigen")
inputBaseTime1 = input.int(8, "Basisintervall 1 (Musikalische Oktave)", minval=1)
inputBaseTime2 = input.int(12, "Basisintervall 2 (Alternative Sequenz)", minval=1)
// Preis-Fraktal-Konfiguration
inputShowPriceFractals = input(true, "Preis-Fraktale anzeigen")
inputFractalDepth = input.int(20, "Fraktal-Betrachtungstiefe", minval=5)
// 1. Zeitliche Fraktale mit skaleninvarianter Oktavstruktur
if inputShowTimeOctaves
// Musikalische Oktaven (8er-Serie)
for i = 0 to 6
timeInterval1 = inputBaseTime1 * int(math.pow(2, i))
if bar_index % timeInterval1 == 0
line.new(bar_index, low - syminfo.mintick, bar_index, high + syminfo.mintick, color=color.new(color.blue, 70), width=2)
// Alternative Sequenz (12er-Serie)
for j = 0 to 6
timeInterval2 = inputBaseTime2 * int(math.pow(3, j))
if bar_index % timeInterval2 == 0
line.new(bar_index, low - syminfo.mintick, bar_index, high + syminfo.mintick, color=color.new(color.purple, 70), width=2)
// 2. Korrigierte Preis-Fraktal-Erkennung
var fractalHighArray = array.new_line()
var fractalLowArray = array.new_line()
if inputShowPriceFractals
// Fractal Detection (korrekte v6-Syntax)
isFractalHigh = high == ta.highest(high, 5)
isFractalLow = low == ta.lowest(low, 5)
// Zeichne dynamische Fraktal-Linien
if isFractalHigh
line.new(bar_index , high , bar_index + inputFractalDepth, high , color=color.new(color.red, 80), style=line.style_dotted)
if isFractalLow
line.new(bar_index , low , bar_index + inputFractalDepth, low , color=color.new(color.green, 80), style=line.style_dotted)
// Array-Bereinigung
if array.size(fractalHighArray) > 50
array.remove(fractalHighArray, 0)
if array.size(fractalLowArray) > 50
array.remove(fractalLowArray, 0)
// 3. Dynamische Übergangszonen (Hesitationsbereiche)
transitionZone = ta.atr(14) * 2
upperZone = close + transitionZone
lowerZone = close - transitionZone
plot(upperZone, "Upper Transition", color.new(color.orange, 50), 2)
plot(lowerZone, "Lower Transition", color.new(color.orange, 50), 2)
// 4. Skaleninvariante Alarmierung
alertcondition(ta.crossover(close, upperZone), "Breakout nach oben", "Potenzielle Aufwärtsbewegung!")
alertcondition(ta.crossunder(close, lowerZone), "Breakout nach unten", "Potenzielle Abwärtsbewegung!")
7 Trading Setups with Codesit uses 7 indicator breakouts for trading , RSI SMA ORB TRIPLE TOP AND BOTTOM
Buy Signal with FVG Confirmation (1h,15m,5m)Key Changes:
FVG Conditions Added to buySignal:
The buy signal now requires FVGs on all three timeframes (1h, 15m, 5m) in addition to your original criteria.
buySignal = ... and fvg1h and fvg15m and fvg5m
Simplified FVG Detection:
The detectFVG function now only returns the fvgBullish boolean (no need to return price levels).
How to Use:
Apply to 1-Hour Chart:
The script works best on a 1-hour chart since it combines daily, hourly, and lower timeframe (15m/5m) logic.
Interpret Signals:
A green triangle appears below the price bar when all conditions align, including FVGs on 1h, 15m, and 5m.
Use the shaded FVG zones (teal, orange, purple) to visually confirm gaps.
Set Alerts:
Create an alert in TradingView to notify you when the buySignal triggers.
Important Notes:
Multi-Timeframe Limitations:
Lower timeframe FVGs (15m/5m) are fetched using request.security, which may cause slight repainting on the 1-hour chart.
FVGs are evaluated based on the most recent completed bar in their respective timeframes.
Strategy Strictness:
Requiring FVGs on three timeframes makes the signal very selective. Adjust the logic (e.g., fvg1h or fvg15m) if you prefer fewer restrictions
MTF EMA Sentiment - SimplifiedThe MTF EMA Sentiment Indicator is a custom Pine Script tool designed to help traders assess market sentiment across multiple timeframes using Exponential Moving Averages (EMAs). It simplifies the process of identifying trends and potential trading opportunities by comparing short-term and long-term EMAs on hourly, daily, and weekly timeframes. Here's a detailed breakdown of the indicator:
Multi-Timeframe Stochastic OverviewPurpose of the Multi-Timeframe Stochastic Indicator:
The Multi-Timeframe Stochastic Indicator provides a consolidated view of market conditions across multiple timeframes (M1, M5, M15, H1) based on the Stochastic Oscillator, a popular technical analysis tool. The main objective is to allow traders to quickly assess momentum and potential trend reversals across different timeframes on a single chart, helping to make informed trading decisions.
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General Purpose of Stochastic Oscillator:
The Stochastic Oscillator measures the relationship between a security's closing price and its price range over a given period, aiming to identify momentum, overbought/oversold levels, and potential reversal points. It works on the assumption that:
1. In uptrends, prices tend to close near their highs.
2. In downtrends, prices tend to close near their lows.
It consists of two lines:
%K (fast line): Represents the raw Stochastic value.
%D (slow line): A moving average of %K, used to smooth the data for better signals.
The indicator is generally used to:
Identify Overbought (price above 80% threshold) and Oversold (price below 20% threshold) conditions.
Spot Bullish and Bearish divergences for potential trend reversals.
Evaluate momentum strength within a trend.
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How This Multi-Timeframe Indicator Enhances Stochastic's Utility:
1. Multi-Timeframe Overview:
The indicator calculates Stochastic values for multiple timeframes (1-minute, 5-minute, 15-minute, and 1-hour) and displays their market conditions (e.g., Bullish, Bearish, Overbought, Oversold, or Indecision) in an organized table format.
This gives traders a broad perspective on short-term, mid-term, and long-term trends simultaneously.
2. Market Condition Summary:
Bullish: Indicates upward momentum (both %K and %D > 50%).
Bearish: Indicates downward momentum (both %K and %D < 50%).
Overbought: Suggests potential trend exhaustion (both %K and %D > 80%).
Oversold: Suggests a potential reversal to the upside (both %K and %D < 20%).
Indecision: Highlights uncertainty when %K and %D are on opposite sides of the 50% level.
3. Quick Decision-Making:
The color-coded table (green for Bullish/Overbought, red for Bearish/Oversold, orange for Indecision) allows traders to quickly identify dominant conditions and momentum alignment across timeframes, helping in trade confirmation.
4. Trend Analysis:
By observing alignment or divergence in market conditions across timeframes, traders can gauge the strength of a trend or anticipate reversals. For example:
If all timeframes show "Bullish," it suggests strong momentum.
If smaller timeframes are "Overbought" while larger ones are "Bearish," it warns of a possible pullback.
5. Customizable Parameters:
The indicator allows customization of Stochastic K, D, smoothing values, and overbought/oversold levels, enabling users to tailor the analysis to specific trading styles or market conditions.
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Use Cases:
1. Scalping:
A scalper can use lower timeframes (e.g., M1, M5) to find overbought/oversold zones for quick trades.
2. Swing Trading:
Swing traders can align smaller timeframes with higher ones (e.g., M15 and H1) to confirm momentum before entering a trade.
3. Trend Reversals:
Overbought or oversold conditions across all timeframes may indicate a major reversal point, helping traders plan exits or countertrend entries.
4. Trend Continuation:
Consistent bullish or bearish conditions across all timeframes confirm the continuation of a trend, providing confidence to hold positions.
---
Summary:
This indicator enhances the traditional Stochastic Oscillator by giving a multi-timeframe snapshot of market momentum, overbought/oversold conditions, and trend direction. It enables traders to quickly assess the overall market state, spot opportunities, and make more informed trading decisions.
Indecisive Candle Buy/Sell Signals by VIKKAS VERMAUsing Hieken Ashi candle sticks @ 15 mins timeframe
EMAs Adaptativa y Señales de Compra/VentaEma 21 en diario, define la tendencia, si el precio se encuentra sobre la ema, se buscan compras, por lo cual, se pinta de verde, si el precio se encuentra debajo, se buscan ventas, por lo cual la ema se pinta de rojo.
En h4 tiene un valor de 126 y en h1 de 508
La ema 50 y 200, funcionan como soportes dinámicos, del precio, donde se busca una entrada, siempre y cuando el precio se encuentre rebotando en los niveles del RSI y rebotando en al menos una de las medias.
Midnight Opening Ranges [TDL]
Midnight Opening Ranges with Standard Deviations as taught by Micheal J. Huddleston
- Custom colors
- Up to 10 Std dev levels
- Midnight opening price
- Current and previous ranges with dates and midpoints
Market Sessions and OverlapsMarket Sessions and Overlaps Indicator
This script, titled " Market Sessions and Overlaps ," provides a detailed visualization of major global trading sessions—Asia, Europe, and New York—along with the periods where these sessions overlap. It is designed to assist traders in understanding session timings and overlaps in their local time zone. Key features include:
Session Visualization: Highlights the Asia, Europe, and New York trading sessions directly on the chart with customizable colors and transparency for better clarity.
Overlap Identification: Marks the overlapping periods between Asia-Europe and Europe-New York sessions, where market activity often intensifies, with distinct candle colors.
Time Zone Support: The script allows users to select their local time zone, ensuring all session times are displayed accurately, no matter the user’s location.
Alerts for Key Events: Includes optional alerts to notify users of session openings, closings, and the start or end of overlap periods.
This indicator serves as a visual tool for tracking session-specific activity and liquidity. It is configurable to match individual preferences, enabling better alignment with trading strategies.
Disclaimer: This script is for informational purposes only and does not provide financial advice. Please consult a licensed financial advisor for personalized trading guidance.
Futures_No-Trade-ZoneMarks the chart with a warning period before Futures market close (yellow) and when the market is actually closed (red).
120 SMA Bitcoin Trend-Momentum StrategyStrategy Rules
Entry Conditions:
Long Entry:
Price is above the 120 SMA (uptrend).
RSI crosses above 50 from below (indicates bullish momentum).
Exit Conditions:
Close the position:
When RSI moves into overbought/oversold territory and reverses (e.g., RSI crosses back below 70 for longs or above 30 for shorts).
Alternative: Use a trailing stop (optional).
Additional Parameters:
Timeframe: Works on both daily and weekly charts, with fewer trades on weekly.
Max Trades: The combination of trend filtering and momentum ensures only high-probability trades, limiting frequency.
Dynamic SR Levels v23 static time frame level daily 4 hour 1 hour and dynamic support and resistance find levels on any time frame looks back 1500 bars for levels
Wave Trend -V2Wave Trend -V2 is here to give you a serious edge.
This upgraded version of the popular LazyBear script takes wave trend analysis to the next level.
Here's the deal:
Multi-Timeframe Analysis: Beyond Short-Term Noise:
Novice traders often focus solely on the current timeframe (let's say, the 5-minute chart).
Wave Trend -V2 breaks free from this limitation by analyzing price action across multiple timeframes (1-minute to 1-week).
---This holistic view helps you:
Identify larger trends: Are we in a bullish uptrend on the daily chart, even if the hourly chart is showing some short-term weakness? Wave Trend -V2 helps you see the bigger picture.
Avoid false breakouts: Short-term price spikes can create false signals. By looking at higher timeframes, you can filter out these "noise" and focus on sustainable trends.
---Pressure Analysis: Gauging Market Strength:
Wave Trend -V2 goes beyond simple trend identification.
It incorporates "pressure" analysis to gauge the strength and direction of the current market trend.
This helps you:
Enter trades with confidence: When the trend is strong and the pressure is high, you can enter trades with greater conviction.
Minimize risk: If the pressure is waning or conflicting signals arise, you can avoid entering trades or adjust your risk parameters accordingly.
Impact Point Analysis: Predicting Future Price Moves:
Wave Trend -V2 analyzes the price impact of the last four wave trend crossovers.
Let's say the last impact point was "X", the previous one "X-1", the one before that "X-2", and so on.
The indicator calculates the average price movement between these points using the following simplified formula:
Average Impact = (X - X-1) + (X-1 - X-2) + (X-2 - X-3) / 3
This average provides a valuable estimate of the potential price movement of the next crossover.
Multiple Take Profit Levels: Setting Strategic Targets:
Wave Trend -V2 offers three dynamic take profit levels (TP1, TP2, TP3).
TP1: Based on the estimated average impact.
TP2: Twice the estimated average impact.
TP3: Three times the estimated average impact.
This allows you to set your profit targets strategically, maximizing potential gains while managing risk effectively.
Why don't use the Estmated impact point to stop the trade?
In order to eliminated the WHIPSAW effect! There is no other way...
Wave Trend -V2 is designed for traders who seek a deeper understanding of trend dynamics and desire a more sophisticated approach to trading. By combining multi-timeframe analysis, pressure assessment, and advanced impact point calculations, this indicator empowers you to make more informed trading decisions and potentially improve your trading outcomes.
The indicator work best with combination of other trend type indicators.
Please dont forget that indicators are not miracle medicines , it cannot give you exact results , market was always volative , use at your own discretion.
Williams Percent Range (RSI-like Scale)Williams Percent Range plotted on RSI-like Scale. Williams %R ranges from −100 (oversold) to 0 (overbought). Adding 100 shifts the range from 0 to 100.
AllDay Session TimesIndicator: Custom Session Times
This indicator is designed to assist traders by visualizing specific trading session times on the TradingView platform. It highlights two important trading sessions: the Day Session and the Evening Session, providing a visual aid that helps traders navigate the markets with greater accuracy.
Day Session Time Range:
Starts: 10:55 UTC+2
Ends: 13:30 UTC+2
Evening Session Time Range:
Starts: 16:55 UTC+2
Ends: 18:30 UTC+2
How It Works:
Colors and Backgrounds: This indicator uses background colors to differentiate the sessions. The green background appears during the Day Session, while the blue background indicates the Evening Session.
Lines: Session time ranges are also marked with clear lines on the chart, making it easier to identify the specific session periods.
Time Zone: The time zone is set to UTC+2 (Europe/Helsinki), but it can easily be adjusted to match your local time zone.
Why Use This Indicator?
This indicator is especially useful for traders who focus on specific market sessions. For example:
The Day Session might be when the market is more active, and trends are clearer.
The Evening Session could be a good time to observe market adjustments based on the events of the day and find potential trading opportunities.
By visualizing these specific time frames, the indicator helps reduce distractions and enables a more focused approach to trading.
Use Cases:
This indicator is ideal for:
Day traders and swing traders who want to focus on certain market sessions.
Technical analysts who prefer to visualize market behavior within specific time frames.
Strategy optimization and a more precise assessment of market conditions.
Features:
Visual session markers that help traders focus on key trading periods.
Easy customization of time zone and session time ranges.
Background colors and lines that improve chart readability and session tracking.
Made By AllDayEsa
CMO - Dot and Background - Jan 11, 2025This Pine Script indicator is designed to analyze and visualize momentum dynamics using multiple Chande Momentum Oscillator (CMO) lines with different configurations. Here’s a brief breakdown of what it does:
CMO Calculation:
Computes CMO values for multiple lines (Blue, Green, Orange, Purple) based on adjustable lengths, smoothing factors, and scaling values.
Aggregates and smooths these values for better trend representation.
Plotting:
Plots the scaled CMOs as separate lines with distinct colors on the chart.
Highlights momentum differences and includes a zero-line for reference.
Background Coloring:
Changes the chart background color based on specific conditions where the CMOs indicate strong bullish or bearish trends.
Alerts:
Sets up multiple alert conditions for key events, such as when lines cross zero, cross each other, or meet proximity thresholds.
Includes specific "dot" alerts and background-related alerts for visual emphasis.
Labels:
Adds visual markers (dots) on the chart to highlight significant events, such as strong bullish or bearish setups.
Advanced Features:
Includes proximity detection between specific CMOs for tighter momentum analysis.
Implements slope calculations for one of the CMOs to identify trend direction changes.
In essence, this script provides traders with a tool to monitor momentum dynamics, spot potential reversals or trends, and receive actionable alerts. It is highly customizable with adjustable input parameters.
MACD DashboardThe MACD Dashboard is an addition to my collection of various dashboards that are designed to help traders make wiser decisions.
How to Use MACD Dashboard:
Timeframe Selection: Based on your trading style and preferences, choose the relevant timeframes. In the settings, enable or disable timeframes to focus on the most relevant ones for your strategy.
Dashboard Interpretation: The MACD Dashboard displays green (🟢) and red (🔴) symbols to indicate when the MACD is in green or in the red zone. You can also leverage the MACD values on the dashboard to better interpret sentiment and its changes.
Confirmation and Strategy: Consider MACD Dashboard signals as confirmation for your trading strategy. For instance, in an uptrend, look for long opportunities when the dashboard displays consistent green symbols. Conversely, in a downtrend, focus on short opportunities when red symbols dominate.
Risk Management: As with any indicator, use the MACD Dashboard in conjunction with proper risk management techniques. Avoid trading solely based on indicator signals; instead, integrate them into a comprehensive trading plan.
CPR KINGCPR Indicator calculates and plots the Central Pivot Range (CPR), including support and resistance levels, for any selected time frame. This indicator helps traders identify key price levels, such as the central pivot (CP), resistance (R1-R4), and support (S1-S4), to assess potential market direction. The time frame can be adjusted from minutes to daily, weekly, or monthly intervals for flexible analysis.
Sweaty Palms MA (50/100/200 + 250)The "Sweaty Palms MA (50/100/200 + 250)" script plots four customizable Moving Averages (MAs) to help traders analyze trends across different timeframes. It includes the 50, 100, and 200-length MAs for short, medium, and long-term trend analysis, with an optional 250-length MA for additional insights. Users can choose from five different MA types: Simple (SMA), Exponential (EMA), Weighted (WMA), Relative (RMA), and Hull (HMA), offering flexibility to fit various trading strategies.
Each MA is color-coded for easy identification: blue for the 50-length MA, orange for the 100-length MA, purple for the 200-length MA, and white for the optional 250-length MA. The script also features dynamic labels placed near the most recent bar, displaying the length and type of each MA. These labels update automatically as new bars are added, ensuring that the information is always current and accessible.
This script is ideal for traders looking to identify support and resistance levels, track momentum trends, and validate trading setups across multiple timeframes. The ability to toggle the 250-length MA and adjust MA types and lengths makes it a versatile tool for both swing and intraday trading. Whether you’re monitoring crossovers, evaluating market direction, or confirming long-term trends, this indicator provides the clarity and functionality needed to make informed decisions.
