Daily Manipulation and Distribution Levels with Buy/Sell SignalsIndicator Summary:
This indicator is designed for intraday traders, highlighting key price levels and providing simple buy/sell signals based on price manipulation and distribution concepts.
Key Features:
Core Levels:
Manipulation Plus/Minus: Derived from the daily open and a portion of the daily range (e.g., 25%).
Distribution Levels: Daily high and low serve as ultimate targets or resistance/support levels.
Buy and Sell Signals:
Buy Signal: Triggered when the price crosses above the Manipulation Plus level. A green "BUY" label marks the entry.
Sell Signal: Triggered when the price crosses below the Manipulation Minus level. A red "SELL" label marks the entry.
Clean Chart Design:
Hides unnecessary clutter, showing only relevant key levels and labeled signals for clarity.
How to Use:
Entry Points:
Buy Entry: When a green "BUY" label appears after the price breaks above the Manipulation Plus level.
Sell Entry: When a red "SELL" label appears after the price breaks below the Manipulation Minus level.
Exit Strategy:
Take Profit: Use the Distribution Levels (daily high/low) as take-profit zones.
Stop Loss: Set just above/below the Manipulation Levels to manage risk effectively.
One to Two Trades per Session: Focus on high-probability moves to ensure clarity and reduce overtrading.
Who It’s For:
This indicator is ideal for traders seeking a structured and visual approach to intraday trading, with clear entry/exit criteria based on price manipulation and distribution theory. It simplifies decision-making and ensures clean chart setups without overwhelming visuals.
Cerca negli script per "Cycle"
Dynamic Movement-Based OscillatorDynamic Movement-Based Oscillator
This oscillator is designed to adapt its calculations based on market volatility, creating a dynamic and movement-sensitive indicator without using fixed or arbitrary lengths. It works by adjusting its sensitivity and smoothing based on the volatility of recent price action. The script utilizes the following core components:
Volatility-Driven Adaptive Length:
The adaptive length is calculated from the Average True Range (ATR) over a long period. This length dynamically adjusts between a minimum length and the maximum length allowed, ensuring that the oscillator's responsiveness aligns with current market conditions.
Directional Movement with Adaptive Smoothing:
Using an exponential moving average (EMA) of up and down price movements, this component calculates adaptive averages for upward and downward movement. The length of the EMA is set by the adaptive length, creating a response that mirrors recent volatility.
Ratio-Based Oscillator Calculation:
The oscillator value is calculated based on the ratio of average upward to downward movement. This ratio is transformed into a range centered around zero, with values oscillating between positive and negative regions based on the strength of directional movement.
Dynamic Normalization:
To stabilize the oscillator and provide a bounded range, the script normalizes it against the highest and lowest values over a large window (4999 bars or the adaptive length, whichever is greater). This scaling ensures that the oscillator is calibrated to recent highs and lows, eliminating the need for arbitrary limits.
Adaptive Smoothing:
The final oscillator output is smoothed with a secondary adaptive EMA, where the smoothing factor is dynamically set to half of the current volatility length. This creates a responsive but stable line that adapts as market volatility changes.
Multi-Level Visual Reference Lines:
Several horizontal reference lines are plotted to guide interpretation:
High (50): Indicates potential overbought levels.
Tending/Rejection (25) and Rejection/Trending (-25): Mark areas where reversals or continuations might be expected.
Mid (0): The central line around which the oscillator oscillates.
Low (-50): Represents potential oversold levels.
This oscillator aims to capture directional momentum dynamically, allowing for adaptable, real-time analysis of price action with smooth, volatility-adjusted responses. It’s useful for detecting shifts in market momentum, particularly in trending or highly volatile environments.
Because the lengths are so long this can be used on really small time frames
Trending days will often live in the top or bottom quartile
Divergences work extremely well
ATT Model with Buy/Sell SignalsIndicator Summary
This indicator is based on the ATT (Arithmetic Time Theory) model, using specific turning points derived from the ATT sequence (3, 11, 17, 29, 41, 47, 53, 59) to identify potential market reversals. It also integrates the RSI (Relative Strength Index) to confirm overbought and oversold conditions, triggering buy and sell signals when conditions align with the ATT sequence and RSI level.
Turning Points: Detected based on the ATT sequence applied to bar count. This suggests high-probability areas where the market could turn.
RSI Filter: Adds strength to the signals by ensuring buy signals occur when RSI is oversold (<30) and sell signals when RSI is overbought (>70).
Max Signals Per Session: Limits signals to two per session to reduce over-trading.
Entry Criteria
Buy Signal: Enter a buy trade if:
The indicator displays a green "BUY" marker.
RSI is below the oversold level (default <30), suggesting a potential upward reversal.
Sell Signal: Enter a sell trade if:
The indicator displays a red "SELL" marker.
RSI is above the overbought level (default >70), indicating a potential downward reversal.
Exit Criteria
Take Profit (TP):
Define TP as a fixed percentage or point value based on the asset's volatility. For example, set TP at 1.5-2x the risk, or a predefined point target (like 50-100 points).
Alternatively, exit the position when price approaches a key support/resistance level or the next significant swing high/low.
Stop Loss (SL):
Place the SL below the recent low (for buys) or above the recent high (for sells).
Set a fixed SL in points or percentage based on the asset’s average movement range, like an ATR-based stop, or limit it to a specific risk amount per trade (1-2% of account).
Trailing into Profit
Use a trailing strategy to lock in profits and let winning trades run further. Two main options:
ATR Trailing Stop:
Set the trailing stop based on the ATR (Average True Range), adjusting every time a new candle closes. This can help in volatile markets by keeping the stop at a consistent distance based on recent price movement.
Break-Even and Partial Profits:
When the price moves in your favor by a set amount (e.g., 1:1 risk/reward), move SL to the entry (break-even).
Take partial profit at intermediate levels (e.g., 50% at 1:1 RR) and trail the remainder.
Risk Management for Prop Firm Evaluation
Prop firms often have strict rules on daily loss limits, max drawdowns, and minimum profit targets. Here’s how to align your strategy with these:
Limit Risk per Trade:
Keep risk per trade to a conservative level (e.g., 1% or lower of your account balance). This allows for more room in case of a drawdown and aligns with most prop firm requirements.
Daily Loss Limits:
Set a daily stop-loss that ensures you don’t exceed the firm’s rules. For example, if the daily limit is 5%, stop trading once you reach a 3-4% drawdown.
Avoid Over-Trading:
Stick to the max signals per session rule (one or two trades). Taking only high-probability setups reduces emotional and reactive trades, preserving capital.
Stick to a Profit Target:
Aim to meet the evaluation’s profit goal efficiently but avoid risky or oversized trades to reach it faster.
Avoid Major Economic Events:
News events can disrupt technical setups. Avoid trading around significant releases (like FOMC or NFP) to reduce the chance of sudden losses due to high volatility.
Summary
Using this strategy with discipline, a structured entry/exit approach, and tight risk management can maximize your chances of passing a prop firm evaluation. The ATT model’s turning points, combined with the RSI, provide an edge by highlighting reversal zones, while limiting trades to 1-2 per session helps maintain controlled risk.
Bg color with 5 Date and 3 Time each by nitesh Bg color with 5 Date and 3Time each by nitesh this indicator will plot background color on the chart on your selected date and time spaan it hase three time spaan you can select time according to your need i have created this indicator to backtest time based price movments may this be helpful to you too (jai shree ram)
Cumulative Volume Distribution Spread Intrabar with BandsUpdated Description:
This script, "Cumulative Volume Spread by Levels with Histogram", analyzes cumulative buying and selling pressure at various price levels of each bar, based on intra-bar data from a lower timeframe (like 1-second bars). It visualizes the results using lines, histograms, and color-filled areas.
Key Concepts:
Price Levels: The script splits each bar into four distinct levels:
High to max(open, close): The range from the highest price of the bar to the higher of the open or close prices.
Max(open, close) to midline: The range from the higher of the open or close to the midpoint of the bar.
Midline to min(open, close): The range from the midpoint to the lower of the open or close.
Min(open, close) to low: The range from the lower of the open or close to the lowest price of the bar.
Volume Pressures:
The script fetches volume data from a lower timeframe (default is 1-second bars) to capture intra-bar buying and selling pressure.
Buying Pressure: Calculated when the close is greater than the open.
Selling Pressure: Calculated when the close is less than the open.
Cumulative Pressures:
The script accumulates buy and sell volumes within each of the four price levels described above.
At the beginning of a new day, these cumulative values are reset.
Spread Calculation:
For each level, the script calculates the spread between cumulative buying and selling volumes (i.e., buy pressure minus sell pressure). A positive spread indicates more buying pressure, and a negative spread indicates more selling pressure.
The script calculates an Exponential Moving Average (EMA) of the spread changes for each section:
EMA Spread High to Max Open/Close
EMA Spread Max Open/Close to Midline
EMA Spread Midline to Min Open/Close
EMA Spread Min Open/Close to Low
Fill Between Levels:
The areas between the key price levels are filled based on whether the EMA of the spread is positive (green) or negative (red). This helps to visually indicate where buying or selling pressure is stronger.
Background Color:
The script determines an overall background color based on the relative strength of cumulative buying vs. selling pressure. If cumulative buying pressure is stronger across the levels, the background turns green; if selling pressure dominates, it turns red.
Fluid Dynamics-Inspired Indicator with Bidirectional ScalingThe "Enhanced Fluid Dynamics-Inspired Indicator with Bidirectional Scaling" is a sophisticated technical analysis tool that draws inspiration from the principles of fluid dynamics to measure both upward and downward price movements, while also incorporating volatility and momentum into its calculations. The indicator aims to provide traders with a clear understanding of market dynamics by analyzing "streamflow" (price and volume movements) in both directions, enhanced with adaptive scaling techniques.
Key Features:
Bidirectional Price Momentum:
The indicator separately calculates positive and negative momentum using the price's rate of change. This allows for independent analysis of upward and downward price movements, providing a balanced view of the market's direction.
Streamflow Model:
The "streamflow" is calculated by multiplying volume flow with price momentum. This approach treats the market as a fluid system, where the momentum and volume of trades influence the flow of prices in both upward and downward directions. Streamflow is calculated independently for each direction.
Adaptive Volatility Scaling:
Volatility is dynamically calculated using the Average True Range (ATR) and is weighted to adjust to varying market conditions. An adaptive logarithmic scaling factor is applied to the volatility to capture the dynamic nature of market environments.
DRMA (Displaced Rolling Moving Average):
The indicator uses the DRMA function to smooth out price and volume data, improving the accuracy of its measurements. This allows the indicator to capture longer-term trends while still being responsive to short-term fluctuations.
Non-Linear Scaling and Normalization:
To ensure that the output values are within a usable range, the indicator employs a sigmoid-based non-linear scaling function. This helps normalize the composite output, making it easier to interpret overbought and oversold conditions.
Visual Representation:
The indicator plots two separate lines for upward and downward market movements, making it easy to distinguish between bullish and bearish trends. Background colors are also used to highlight periods of strong upward or downward momentum, as well as high volatility.
Overbought/Oversold Conditions:
Upper and lower thresholds are used to signal potential overbought and oversold conditions. Alerts are triggered when the market moves into extreme levels, helping traders identify potential entry and exit points.
Usage:
This indicator is designed for traders who are looking for a more nuanced and dynamic tool to measure both bullish and bearish trends. By using bidirectional scaling, it provides clearer signals for market direction, while adaptive volatility and momentum adjustments ensure the indicator responds to different market environments. The alert conditions make it especially useful for timing trades in highly volatile conditions or when price movements reach extreme levels.
Bernoulli Price Dynamics with IntraBar Volume (Bidirectional)This indicator adapts the principles of Bernoulli’s equation from fluid dynamics to analyze price and volume dynamics in the market. By incorporating intrabar volume data and splitting price movements into upward and downward components, it provides a bidirectional view of the market's kinetic and potential energies. This approach helps assess market pressure in both upward and downward directions, offering insights into potential price movement with energy-based mechanics.
Key Features:
Intrabar Volume Integration: The indicator collects up and down volume data from a lower timeframe, such as seconds or minutes, to provide more granular insights.
Bidirectional Market Pressure: By separating upward and downward price movements, it calculates market pressure in both directions, which is akin to fluid pressure. The separation enables tracking of distinct upward and downward energy flows in the market.
Energy Calculation:
Kinetic Energy: This represents the "movement" aspect of the price, weighted by volume. It is calculated for both upward and downward movements based on price velocity squared.
Potential Energy: This represents the "position" aspect of the price, calculated as the product of volume and the current price level. It is also separated into upward and downward components.
Market Pressure: The difference between the total energy (sum of kinetic and potential energies) and the highest observed total energy over a defined period (N). This provides an insight into the current momentum of price movement in both directions.
Visualization:
Market Pressure Up/Down: Plots the calculated market pressure for upward (green) and downward (red) movements.
Kinetic and Potential Energies: Provides individual plots for kinetic and potential energy in both directions to analyze the behavior of price and volume in more detail.
This indicator can be used to track market momentum and potential reversals by understanding the energy and pressure dynamics in both upward and downward price movements.
RSI Ignoring Gaps Between DaysThe RSI Ignoring Gaps Between Days indicator is an advanced modification of the traditional Relative Strength Index (RSI) designed to exclude price gaps that occur between the last bar of one trading day and the first bar of the next. This ensures that the RSI calculations remain focused on the actual price action during the trading session, avoiding distortions caused by overnight price gaps.
Key Features:
Gap Ignoring Mechanism: The indicator detects when a new day begins and skips the price change between the last bar of the previous day and the first bar of the current day. This ensures that only the intra-day price changes are included in the RSI calculation.
Intra-day Price Movement: The RSI calculations are based on real price changes within each trading day, providing a clearer reflection of momentum without interference from overnight events.
Dynamic RSI Calculation: The traditional RSI formula is preserved, but gains and losses are recalculated based on price changes from bar to bar within the same day.
Overbought/Oversold Levels: The indicator retains standard RSI overbought (70) and oversold (30) levels, allowing traders to easily identify potential reversal zones.
Alerts for Crossovers: Built-in alert conditions trigger when the RSI crosses key levels (30 or 70), signaling potential buying or selling opportunities.
This indicator is particularly useful for traders looking to focus on intra-day price action and avoid the influence of gaps caused by overnight market activity. It is suitable for intraday trading strategies where consistency in price movement measurement is crucial.
Master Bitcoin Halving Color CodingMaster Bitcoin Halving Color Coding is a customizable TradingView indicator that visualizes Bitcoin price trends relative to its halving events. It color-codes price data based on the number of days since the most recent halving:
Yellow: 0–546 days post-halving
Blue: 547–849 days
Green: 850–1179 days
White: 1180+ days
Ichimoku Wave Oscillator with Custom MAIchimoku Wave Oscillator with Custom MA - Pine Script Description
This script uses various types of moving averages (MA) to implement the concept of Ichimoku wave theory for wave analysis. The user can select from SMA, EMA, WMA, TEMA, SMMA to visualize the difference between short-term, medium-term, and long-term waves, while identifying potential buy and sell signals at crossover points.
Key Features:
MA Type Selection:
The user can select from SMA (Simple Moving Average), EMA (Exponential Moving Average), WMA (Weighted Moving Average), TEMA (Triple Exponential Moving Average), and SMMA (Smoothed Moving Average) to calculate the waves. This script is unique in that it combines TEMA and SMMA, distinguishing it from other simple moving average-based indicators.
TEMA (Triple Exponential Moving Average): Best suited for capturing short-term trends with quick responsiveness.
SMMA (Smoothed Moving Average): Useful for identifying long-term trends with minimal noise, providing more stable signals.
Wave Calculations:
The script calculates three waves: Wave 9-17, Wave 17-26, and Wave 9-26, each of which analyzes different time horizons.
Wave 9-17 (blue): Primarily used for analyzing short-term trends, ideal for detecting quick changes.
Wave 17-26 (red): Used to analyze medium-term trends, providing a more stable market direction.
Wave 9-26 (green): Represents long-term trends, suitable for understanding broader trend shifts.
Baseline (0 Line):
Each wave is visualized around the 0 line, where waves above the line indicate an uptrend and waves below the line indicate a downtrend. This allows for easy identification of trend reversals.
Crossover Signals:
CrossUp: When Wave 9-17 (short-term wave) crosses Wave 17-26 (medium-term wave) upward, it is considered a buy signal, indicating a potential upward trend shift.
CrossDown: When Wave 9-17 (short-term wave) crosses Wave 17-26 downward, it is considered a sell signal, indicating a potential downward trend shift.
Background Color for Signal:
The script visually highlights the signals with background colors. When a buy signal occurs, the background turns green, and when a sell signal occurs, the background turns red. This makes it easier to spot reversal points.
Calculation Method:
The script calculates the difference between moving averages to display the wave oscillation. Wave 9-17, Wave 17-26, and Wave 9-26 represent the difference between the moving averages for different time periods, allowing for analysis of short-term, medium-term, and long-term trends.
Wave 9-17 = MA(9) - MA(17): Represents the difference between the short-term moving averages.
Wave 17-26 = MA(17) - MA(26): Represents the difference between medium-term moving averages.
Wave 9-26 = MA(9) - MA(26): Provides insight into the long-term trend.
This calculation method effectively visualizes the oscillation of waves and helps identify trend reversals at crossover points.
Uniqueness of the Script:
Unlike other moving average-based indicators, this script combines TEMA (Triple Exponential Moving Average) and SMMA (Smoothed Moving Average) to capture both short-term sensitivity and long-term stability in trends. This duality makes the script more versatile for different market conditions.
TEMA is ideal for short-term traders who need quick signals, while SMMA is useful for long-term investors seeking stability and noise reduction. By combining these two, this script provides a more refined analysis of trend changes across various timeframes.
How to Use:
This script is effective for trend analysis and reversal detection. By visualizing the crossover points between the waves, users can spot potential buy and sell signals to make more informed trading decisions.
Scalping strategies can rely on Wave 9-17 to detect quick trend changes, while those looking for medium-term trends can analyze signals from Wave 17-26.
For a broader market overview, Wave 9-26 helps users understand the long-term market trend.
This script is built on the concept of wave theory to anticipate trend changes, making it suitable for various timeframes and strategies. The user can tailor the characteristics of the waves by selecting different MA types, allowing for flexible application across different trading strategies.
Ichimoku Wave Oscillator with Custom MA - Pine Script 설명
이 스크립트는 다양한 이동 평균(MA) 유형을 활용하여 일목 파동론의 개념을 기반으로 파동 분석을 시도하는 지표입니다. 사용자는 SMA, EMA, WMA, TEMA, SMMA 중 원하는 이동 평균을 선택할 수 있으며, 이를 통해 단기, 중기, 장기 파동 간의 차이를 시각화하고, 교차점에서 상승 및 하락 신호를 포착할 수 있습니다.
주요 기능:
이동 평균(MA) 유형 선택:
사용자는 SMA(단순 이동 평균), EMA(지수 이동 평균), WMA(가중 이동 평균), TEMA(삼중 지수 이동 평균), SMMA(평활 이동 평균) 중 하나를 선택하여 파동을 계산할 수 있습니다. 이 스크립트는 TEMA와 SMMA의 독창적인 조합을 통해 기존의 단순한 이동 평균 지표와 차별화됩니다.
TEMA(삼중 지수 이동 평균): 빠른 반응으로 단기 트렌드를 포착하는 데 적합합니다.
SMMA(평활 이동 평균): 장기적인 추세를 파악하는 데 유용하며, 노이즈를 최소화하여 안정적인 신호를 제공합니다.
파동(Wave) 계산:
이 스크립트는 Wave 9-17, Wave 17-26, Wave 9-26의 세 가지 파동을 계산하여 각각 단기, 중기, 장기 추세를 분석합니다.
Wave 9-17 (파란색): 주로 단기 추세를 분석하는 데 사용되며, 빠른 추세 변화를 포착하는 데 유용합니다.
Wave 17-26 (빨간색): 중기 추세를 분석하는 데 사용되며, 좀 더 안정적인 시장 흐름을 보여줍니다.
Wave 9-26 (녹색): 장기 추세를 나타내며, 큰 흐름의 방향성을 파악하는 데 적합합니다.
기준선(0 라인):
각 파동은 0 라인을 기준으로 변동성을 시각화합니다. 0 위에 있는 파동은 상승세, 0 아래에 있는 파동은 하락세를 나타내며, 이를 통해 추세의 전환을 쉽게 확인할 수 있습니다.
파동 교차 신호:
CrossUp: Wave 9-17(단기 파동)이 Wave 17-26(중기 파동)을 상향 교차할 때, 상승 신호로 간주됩니다. 이는 단기적인 추세 변화가 발생할 수 있음을 의미합니다.
CrossDown: Wave 9-17(단기 파동)이 Wave 17-26(중기 파동)을 하향 교차할 때, 하락 신호로 해석됩니다. 이는 시장이 약세로 돌아설 가능성을 나타냅니다.
배경 색상 표시:
교차 신호가 발생할 때, 상승 신호는 녹색 배경, 하락 신호는 빨간색 배경으로 시각적으로 강조되어 사용자가 신호를 쉽게 인식할 수 있습니다.
계산 방식:
이 스크립트는 이동 평균 간의 차이를 계산하여 각 파동의 변동성을 나타냅니다. Wave 9-17, Wave 17-26, Wave 9-26은 각각 설정된 주기의 이동 평균(MA)의 차이를 통해, 시장의 단기, 중기, 장기 추세 변화를 시각적으로 표현합니다.
Wave 9-17 = MA(9) - MA(17): 단기 추세의 차이를 나타냅니다.
Wave 17-26 = MA(17) - MA(26): 중기 추세의 차이를 나타냅니다.
Wave 9-26 = MA(9) - MA(26): 장기적인 추세 방향을 파악할 수 있습니다.
이러한 계산 방식은 파동의 변동성을 파악하는 데 유용하며, 추세의 교차점을 통해 상승/하락 신호를 잡아냅니다.
스크립트의 독창성:
이 스크립트는 기존의 이동 평균 기반 지표들과 달리, TEMA(삼중 지수 이동 평균)와 SMMA(평활 이동 평균)을 함께 사용하여 짧은 주기와 긴 주기의 트렌드를 동시에 파악할 수 있도록 설계되었습니다. 이를 통해 단기 트렌드의 민감한 변화와 장기 트렌드의 안정성을 모두 반영합니다.
TEMA는 단기 트레이더에게 빠르고 민첩한 신호를 제공하며, SMMA는 장기 투자자에게 보다 안정적이고 긴 호흡의 트렌드를 파악하는 데 유리합니다. 두 지표의 결합으로, 다양한 시장 환경에서 추세의 변화를 더 정교하게 분석할 수 있습니다.
사용 방법:
이 스크립트는 추세 분석과 변곡점 포착에 효과적입니다. 각 파동 간의 교차점을 시각적으로 확인하고, 상승 또는 하락 신호를 포착하여 매매 시점 결정을 도울 수 있습니다.
스캘핑 전략에서는 Wave 9-17을 주로 참고하여 빠르게 추세 변화를 잡아내고, 중기 추세를 참고하고 싶은 경우 Wave 17-26을 사용해 신호를 분석할 수 있습니다.
장기적인 시장 흐름을 파악하고자 할 때는 Wave 9-26을 통해 큰 트렌드를 확인할 수 있습니다.
이 스크립트는 파동 이론의 개념을 기반으로 시장의 추세 변화를 예측하는 데 유용하며, 다양한 시간대와 전략에 맞추어 사용할 수 있습니다. 특히, 사용자가 선택한 MA 유형에 따라 파동의 특성을 변화시킬 수 있어, 여러 매매 전략에 유연하게 대응할 수 있습니다.
Relative PPP for USDBRLThis indicator calculates the USDBRL exchange rate using the Relative Purchasing Power Parity method, which considers that the variation in the exchange rate is equal to the variation in inflation in Brazil minus the variation in inflation in the US. It is derived from the Law of One Price, which states that an identical good should have the same price in different markets when adjusted for exchange rates, assuming the absence of arbitrage barriers such as transaction costs or trade restrictions.
The indicator is calculated starting from June 1994, at the launch of the Real Plan, which equalized the value of the Brazilian Real and the US Dollar at that time. This indicator is useful for providing an idea of the long-term trend of the Dollar exchange rate (months or years), acting similarly to a moving average, around which the exchange rate gravitates.
It's useful for analysts who have to forecast the USDBRL in the long term.
asia session w shieldIntroduction
This Script displays the Asia Session Range
Description
The Indicator is based on UTC -7 timing but displays the Session Boxes automatically correct at your chart so you do not have to adjust any timings based on your Time Zone and don't have to do any calculations based on your UTC. It is already perfect.
You will see on default settings the blue Asia Box, the special ' invalid shield ' feature is there because first two hours are spread timing.
Most Timing-based Indicators have "bugged" boxes or don't show clean boxes at all and don't adjust at daylight savings times, we made sure that everything automatically gets adjusted so you don't have to! So the timings will always display at the correct time regarding the daylight savings times.
Combining Timing with Liquidity Zones the right way and in a clear, clean, and simple format.
Different than others this script also shows the "true" Asia range as it respects the "day open gap" which affects the Asia range in other scripts and it also covers the full 8 hours of Asia Session.
Recommended Use
The most beautiful display is on the M5 Timeframe as you have a clear overview of all sessions without losing the intraday view. You can also use it on the M1 for more details or the M15 for the bigger picture. The Template can hide on higher time frames starting from the H1 to not flood your chart with boxes.
How to use the Asia Session Range Box
Use the Asia Range Box as your intraday Guide, keep in mind that a Breakout of Asia high or low induces Liquidity and a common price behavior is a reversal after the fake breakout of that range.
US Recession Monitor [DIGGERDOG]US Recession Monitor
This **US Recession Monitor** is designed to provide a real-time signal for detecting potential recessions in the US economy by combining two powerful indicators: the **Yield Curve Inversion** (US02Y - US10Y) and the **Sahm Rule**.
- **Yield Curve Inversion**: Historically, an inverted yield curve, where the 2-year Treasury yield is higher than the 10-year yield, has been a reliable predictor of recessions. This monitor tracks the inversion and signals when the curve flips negative.
- **Sahm Rule**: The Sahm Rule triggers when the 3-month average US unemployment rate rises by 0.50% or more above its lowest point in the previous 12 months, signaling significant stress in the labor market—a strong recession indicator.
Key Features:
- **Customizable Weighting**: You can assign different weights to the yield curve inversion and the Sahm Rule to reflect the importance you place on each indicator.
- **Offset Option**: Shift the plot forward or backward using the offset input for comparative analysis.
- **Visual Alerts**: The monitor changes the background to red when either the yield curve or the Sahm Rule signals recession risk, providing clear and easy-to-spot alerts.
How to Use:
The monitor outputs a composite score between **0 and 100**, with values above **50** indicating a heightened risk of recession. Adjust the weights to fit your economic perspective or portfolio strategy and monitor the chart for signs of increasing economic risk.
This tool is ideal for traders, investors, or economists looking to monitor key recession indicators in real-time and adjust their strategies accordingly.
Adjustable Correction from ATH SignalA "Correction Signal from All-Time High" is an indicator used to identify potential reversals or pullbacks in an asset's price after it has reached its highest historical level, known as an all-time high (ATH). This signal typically occurs when the price begins to decline after hitting the ATH, suggesting a correction phase where the asset retraces part of its upward movement.
Key elements of this signal include:
Overbought Conditions: The asset may have experienced a strong rally leading to an overbought condition, where the price could be considered too high relative to recent trends.
Reversal Patterns: The correction signal is often accompanied by technical patterns or indicators that suggest a reversal, such as bearish candlestick formations, negative divergence in momentum indicators, or moving average crossovers.
Percentage Decline: A correction is generally defined as a price drop of at least 10% from the ATH, although smaller pullbacks may also signal potential market shifts.
Volume Analysis: Increased selling volume after the ATH can validate the correction signal, indicating that more market participants are taking profits or exiting positions.
This signal helps traders and investors anticipate periods of market consolidation or potential downturns after significant price advances, allowing for better risk management or entry points for new positions.
Trend Fusion: ADX&EMA+Ichimoku (Custom)SAME AS THE ORIGINAL (WITHOUT BOTTOM PART)
Trend Fusion: ADX & EMA+Ichimoku is an innovative indicator designed to provide traders with comprehensive insights into market trends. Combining the power of the Average Directional Index (ADX) with Exponential Moving Averages (EMA) and the Ichimoku Cloud, this indicator offers a sophisticated approach to trend analysis.
This indicator stands out for its unique integration of multiple trend-following indicators, offering traders a holistic view of market dynamics. Unlike traditional trend indicators that focus solely on price movements, Trend Fusion incorporates the ADX, EMA, and Ichimoku Cloud to provide a more nuanced understanding of trend strength and direction. By combining these indicators, traders can make more informed decisions and enhance their trading strategies.
How it works:
Trend Fusion generates buy and sell signals based on the convergence of these indicators. A combination of strong ADX readings, EMA crossovers, and alignment with the Ichimoku Cloud confirms trend direction and provides entry and exit points for traders.
Average Directional Index (ADX): Measures the strength of the prevailing trend by analyzing price movements. A rising ADX indicates a strengthening trend, while a falling ADX suggests weakening momentum.
Exponential Moving Averages (EMA): Detects potential trend reversals through crossover signals. A bullish crossover (fast EMA crossing above slow EMA) suggests an uptrend, while a bearish crossover indicates a downtrend.
Ichimoku Cloud: Provides support and resistance levels along with trend direction. Price movements above the cloud indicate bullish sentiment, while movements below the cloud suggest bearish sentiment.
How to useColour codes:
Green Candles: Represent a strong uptrend, indicating robust buying momentum. The intensity of green color deepens with increasing trend strength.
Red Candles: Indicate a strong downtrend, signaling significant selling pressure in the market. The intensity of red color deepens with increasing trend strength.
Yellow Candles: Suggest a weak trend, characterized by indecision and lack of clear direction. The intensity of yellow color varies based on the strength of the trend, with lighter shades indicating weaker trends and darker shades suggesting slightly stronger trends.
Trend Strength: Monitor the ADX to gauge the strength of the prevailing trend. Higher ADX values indicate stronger trends, while lower values suggest weaker trends.
Trend Direction: Confirm trend direction using EMA crossovers and Ichimoku Cloud signals. Look for bullish crossovers and price movements above the cloud for uptrends, and bearish crossovers and movements below the cloud for downtrends.
Entry and Exit Signals: Enter trades when all components align, signaling a strong trend. Use EMA crossovers and cloud confirmations to identify potential entry points, and consider exiting trades when these signals reverse.
The ADX calculation and signal logic are based on the ADX script by PineCoders, with modifications to integrate it into this indicator.
The EMA crossover logic is adapted from the GDAX EMA Cross script by stefano98.
The Ichimoku Cloud calculation and plotting are adapted from the Ichimoku Cloud script by lonesometheblue.
Trading involves risk, and past performance is not indicative of future results. It is recommended to use this indicator alongside other technical analysis tools and risk management strategies.
ICT MACROS (UTC-4)This Pine Script creates an indicator that draws vertical lines on a TradingView chart to mark specific time intervals during the day. It allows the user to see when certain predefined time periods start and end, using vertical lines of different colors. The script is designed to work with time frames aligned to the UTC-4 timezone.
### Key Features of the Script
1. **Vertical Line Drawing Function**:
- The script uses a custom function, `draw_vertical_line`, to draw vertical lines at specific times.
- This function takes four parameters:
- `specificTime`: The specific timestamp when the vertical line should be drawn.
- `lineColor`: The color of the vertical line.
- `labelText`: The text label for the line (used internally for debugging purposes).
- `adjustment_minutes`: An integer value that allows time adjustment (in minutes) to make the lines align more accurately with the chart’s candles.
- The function calculates an adjusted time using the `adjustment_minutes` parameter and checks if the current time (`time`) falls within a 3-minute range of the adjusted time. If it does, it draws a vertical line.
2. **User Input for Time Adjustment**:
- The `adjustment_minutes` input allows users to fine-tune the appearance of the lines by shifting them slightly forward or backward in time to ensure they align with the chart candles. This is useful because of potential minor discrepancies between the script’s timestamps and the chart’s actual candle times.
3. **Predefined Time Intervals**:
- The script specifies six different time intervals (using the UTC-4 timezone) and draws vertical lines to mark the start and end of each interval:
- **First interval**: 8:50 - 9:10 AM
- **Second interval**: 9:50 - 10:10 AM
- **Third interval**: 10:50 - 11:10 AM
- **Fourth interval**: 13:10 - 13:40 PM
- **Fifth interval**: 14:50 - 15:10 PM
- **Sixth interval**: 15:15 - 15:45 PM
- For each interval, there are two timestamps: the start time and the end time. The script draws a green vertical line for the start and a red vertical line for the end.
4. **Line Drawing Logic**:
- For each time interval, the script calculates the timestamp using the `timestamp()` function with the specified time in UTC-4.
- The `draw_vertical_line` function is called twice for each interval: once for the start time (with a green line) and once for the end time (with a red line).
5. **Visual Overlay**:
- The script uses the `overlay=true` setting, which means that the vertical lines are drawn directly on top of the existing price chart. This helps in visually identifying the specific time intervals without cluttering the chart.
### Summary
This Pine Script is designed for traders or analysts who want to visualize specific time intervals directly on their TradingView charts. It provides a customizable way to highlight these intervals using vertical lines, making it easier to analyze price action or trading volume during key times of the day. The `adjustment_minutes` input adds flexibility to align these lines accurately with chart data.
Time Range### Indicator Name: **Time Range**
#### Description:
The **Time Range** indicator allows users to highlight specific time ranges on a chart for each day of the week. It uses customizable time inputs for every day (Monday to Sunday), allowing the user to define trading sessions or any time-based range. These sessions are visualized by shading the background of the chart within the defined periods.
#### Key Features:
- **Custom Sessions**: For each day of the week (Monday to Sunday), the user can define a unique time session by specifying the start time using the input fields.
- **Day-wise Session Activation**: The user can toggle the activation of sessions for each day by using checkboxes. If the session for a particular day is disabled, no background shading will appear for that day.
- **Background Highlighting**: When a session is active, the background of the chart during the specified session period will be shaded in gray with a 70% transparency. This helps the user visually identify active time ranges across multiple days.
#### Use Cases:
- **Highlighting Trading Sessions**: Traders can use this indicator to easily visualize specific market sessions such as the New York or London trading sessions.
- **Visualizing Custom Time Blocks**: Can be used to highlight any custom time blocks that are important for the trader, such as key trading hours, news release periods, or other time-based strategies.
#### Customizable Parameters:
- **Day Toggles**: Checkboxes to activate or deactivate sessions for each day of the week.
- **Time Range Inputs**: Time range inputs allow the user to set start times for each session, which are applied based on the user's selection for the day.
This indicator helps streamline chart analysis by giving clear visual markers for time-based events or trading windows.
Time-based Vertical LinesThe Time-Based Vertical Line Script is a Pine Script tool designed to plot vertical lines at specific times during the trading day. The script allows users to mark important time-based events or price movement patterns by plotting fully customizable vertical lines on the chart. Each line can be configured with a specific time, color, width, and style, providing a clear visual reference for key moments throughout the trading session.
Key Features:
Custom Time Inputs:
Users can specify the hour and minute for each vertical line to mark crucial times, such as the opening or closing of a market session, or events like news releases.
The script can accommodate up to 24 vertical lines, each with individual time settings.
Customizable Appearance:
Color: Select different colors for each line to visually distinguish between important events or trading sessions.
Width: Adjust the thickness of the vertical lines to emphasize specific times.
Style: Choose from solid, dashed, or dotted lines for further customization.
No Built-in UTC Offset:
Important: This script does not automatically adjust for time zones or UTC offsets. The user must manually set the time for each vertical line based on the platform's server time or the desired trading session time.
If you are in a different time zone, you will need to calculate the time difference between your local time and the platform's time zone (which could be UTC or any other time zone).
For example, if the platform is set to UTC and you are in New York (UTC-4 during daylight savings), you will need to manually adjust your time inputs to match the time zone difference.
Static Time Configuration: The times you input for the vertical lines are fixed, meaning they won’t automatically adjust based on daylight savings or time zone shifts. You'll need to manually reconfigure the times if such changes occur.
Use Cases:
Session Marking: Mark the beginning and end of specific market sessions like New York, London, or Asian trading hours.
Event Monitoring: Plot lines to mark important economic events or news releases, ensuring you're prepared for potential market movements.
Strategy Tracking: For traders using time-sensitive strategies, such as the ICT (Inner Circle Trader) models, the script can help you highlight critical time windows for potential setups.
Important Note on Time Zone:
Since the script doesn't automatically apply a UTC offset, users need to figure out the correct time to input based on their own time zone and the platform's time zone. For example:
If you're in New York (UTC-4) and want to mark the New York session open at 9:30 AM, but your platform runs on UTC time, you would input 13:30 as the hour for the vertical line (since 9:30 AM UTC-4 corresponds to 13:30 UTC).
Example:
If your platform’s time is set to UTC, and you want to mark an event that happens at 10:00 AM in your local time zone (UTC-5), you'll need to set the vertical line to 15:00 (because 10:00 AM UTC-5 is 15:00 in UTC).
This means you'll need to calculate the offset based on your location and input the adjusted time into the script manually.
Tare's Multi-Timeframe Market Heatmap
Tare's Multi-Timeframe Market Heatmap is a powerful tool designed to help traders quickly gauge market sentiment across multiple timeframes using a combination of RSI (Relative Strength Index) and MACD (Moving Average Convergence Divergence) indicators. This indicator analyzes four customizable timeframes to determine whether the market is bullish or bearish, providing a visual heatmap to indicate the overall market direction and strength.
Key Features:
Multi-Timeframe Analysis: The indicator allows you to select up to four different timeframes (e.g., 5 minutes, 15 minutes, 30 minutes, 1 hour) to analyze the market's behavior comprehensively.
RSI and MACD Integration: By combining RSI and MACD indicators, the heatmap provides a more robust analysis, taking into account both momentum (RSI) and trend (MACD) indicators. This dual approach helps in identifying stronger and more reliable signals.
Visual Heatmap: The indicator plots a histogram that changes color and intensity based on the combined bullish or bearish strength across the selected timeframes:
Green: Indicates bullish strength, with a darker shade representing stronger bullish signals across multiple timeframes.
Red: Indicates bearish strength, with a darker shade representing stronger bearish signals across multiple timeframes.
Customizable Settings: You can customize the length settings for RSI and MACD, including the RSI period, MACD fast and slow lengths, and signal length, allowing for tailored analysis based on your trading strategy.
Signal Exposure for Other Strategies: The indicator exposes both bullish and bearish signals, which can be used as inputs for other custom strategies within TradingView. This feature allows seamless integration and enhances the versatility of your trading approach.
How to Use:
Adjust the timeframes and indicator settings in the indicator's input menu to match your trading style.
Observe the color and intensity of the histogram to understand the current market sentiment across the selected timeframes.
Utilize the exposed signals (bullish and bearish) in conjunction with other strategies or indicators for a more comprehensive trading system.
Tare's Multi-Timeframe Market Heatmap provides traders with a clear, concise, and customizable overview of market conditions, making it an essential tool for multi-timeframe analysis and decision-making.
Catastrophe DistanceCatastrophe Distance is a tool to visually explore the time between catastrophic price moves.
Catastrophes are defined with 2 variables:
drawdown_threshold: the amount of percent the price has to fall
lookback_period = the amount of last candles in which drawdown_threshold was reached.
Drawdown_threshold per default is 25% and lookback_period is 5, meaning per default if price moves -25% in the last 5 candles you have a catastrophe.
Feel free to play around with this values to fit all the events you consider a catastrophe.
This indicator does not provide signals. It however implies caution if the time since the last catastrophe is higher then the average time between catastrophes (of last x catastrophes).
This is marked by the label over the current price showing the actual and average time since last catastrophe turning from green to black.
Given that the distance between catastrophes is somewhat cyclical:
Maybe now is a good time to start phishing for low limit orders and reduce leverage?
Day-of-Week PerformanceThis Pine Script indicator calculates and displays the average performance for each weekday over a specified lookback period on a chart. The performance is computed based on the percentage change from the open to the close price of each day.
Features:
Lookback Period:
Input field to specify the number of days to look back for calculating performance. The default is set to 756 days.
Performance Calculation:
Calculates the average percentage change from open to close for each weekday (Monday through Friday) within the specified lookback period.
Histogram Plots:
Displays histograms on the chart for each weekday. Each histogram represents the average performance of that day of the week.
Histograms are plotted with distinct colors:
Monday: Blue
Tuesday: Red
Wednesday: Green
Thursday: Orange
Friday: Purple
Performance Table:
A table is displayed in the top-right corner of the chart showing the average percentage performance for each weekday.
The table updates with the lookback period and the calculated average performance values for each weekday.
Positive performance values are shown in green, and negative values are shown in red.
This indicator helps visualize day-of-the-week performance trends, providing insights into which days typically perform better or worse over the specified period.
Monthly Day Long Strategy with VIX and Risk ManagementThis trading strategy is designed to open long positions on a specific day of the month, with the conditions for entry and exit based on the VIX index and additional risk management techniques. The strategy includes stop-loss and take-profit features to manage risk and lock in profits.
Inputs:
Entry Day of the Month (entry_day): Specifies which day of the month to consider for initiating a trade. The default value is the 27th.
Hold Duration (Days) (hold_duration_days): Defines how many days to hold the position after opening. The default value is 4 days.
VIX Threshold (vix_threshold): Sets the maximum acceptable value for the VIX index to consider an entry. If the VIX is below this threshold, it signals a potential trade. The default value is 20.0.
Stop Loss (%) (stop_loss_percentage): Determines the percentage below the entry price where the stop-loss will be triggered. The default value is 2.0%.
Take Profit (%) (take_profit_percentage): Sets the percentage above the entry price where the take-profit will be triggered. The default value is 5.0%.
Functions:
next_weekday(date): Adjusts the entry date to the next Monday if it falls on a weekend (Saturday or Sunday). This ensures trades do not occur on non-trading days.
Logic:
Entry Conditions:
Date Check: Opens a long position if the current date matches the adjusted entry date (the 27th or the next Monday if the 27th falls on a weekend).
VIX Filter: The VIX index value must be below the specified threshold (e.g., 20.0) to consider an entry.
Exit Conditions:
Time-Based Exit: Closes the position after the hold duration of 4 days.
Stop-Loss: Automatically closes the position if the price drops to a level that is a specified percentage below the entry price (e.g., 2.0%).
Take-Profit: Closes the position if the price rises to a level that is a specified percentage above the entry price (e.g., 5.0%).
Plots:
VIX Plot: Displays the VIX index on the chart for visual reference.
VIX Threshold Line: A horizontal line representing the VIX threshold value.
Summary:
The strategy aims to take advantage of specific entry days while filtering trades based on VIX levels to ensure market conditions are favorable. Risk management is enhanced through stop-loss and take-profit settings, which help in controlling potential losses and securing profits. The strategy ensures trades are only made on trading days and not on weekends, adjusting automatically to the next Monday if needed.
ChatGPT kann Fehler machen. Überprüfe wichtige Informationen.
Friday Bond Short StrategyStrategy: Friday Bond Short Strategy (1H Timeframe)
Objective:
This strategy aims to open short positions on a specified day and hour (Eastern Time) and close those positions on another specified day and hour. The background color of the chart will turn green when a position is active, providing a visual cue of an open trade.
Parameters:
1. Entry Day:
• Defines the day of the week on which the short position will be opened.
• Value: 6 for Friday (Pine Script’s weekday numbering: Monday = 2, Friday = 6).
2. Entry Hour:
• Specifies the hour (Eastern Time) when the short position will be opened.
• Value: 13 for 13:00 ET (1:00 PM).
3. Exit Day:
• Defines the day of the week on which the short position will be closed.
• Value: 2 for Monday.
4. Exit Hour:
• Specifies the hour (Eastern Time) when the position will be closed.
• Value: 13 for 13:00 ET (1:00 PM).
How It Works:
1. Time Adjustment to Eastern Time:
• The script converts all time references to Eastern Time (America/New_York) to ensure the strategy operates according to the desired time zone.
2. Entry Conditions:
• The strategy checks if the current day of the week matches the specified entry_day and if the current hour matches the specified entry_hour.
• If both conditions are met, a short position is opened (strategy.entry("Short", strategy.short)).
3. Exit Conditions:
• Similarly, the strategy checks if the current day of the week matches the specified exit_day and if the current hour matches the specified exit_hour.
• If both conditions are met, the open short position is closed (strategy.close("Short")).
4. Background Color:
• The background color of the chart is adjusted based on whether there is an open position:
• Green Background: If the strategy has an open position (strategy.position_size > 0), the background is set to light green.
• No Background Color: If there is no open position, the background color is not set (na).
Summary:
The Friday Bond Short Strategy is designed to enter short positions on Fridays at 1:00 PM ET and close them on Mondays at 1:00 PM ET. The chart background color turns green when a short position is active, providing a clear visual indication of when the strategy is engaged in a trade.
