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Candlestick analysis

Asian & London Session Highs/LowsAsian & London Session Highs/Lows with Extendable Lines This TradingView script automatically marks the highs and lows of the Asian and London trading sessions for the most recent day, allowing traders to identify key levels during these active periods. The lines representing the high and low of each session are drawn at the exact price point where the high/low occurred, and they extend to the right for a customizable number of bars, helping to visualize how the price reacts to these key levels after the session ends. Key Features: Session High/Low Tracking: Automatically tracks the highest and lowest points for the Asian and London sessions. Extendable Lines: Lines start at the exact bar where the high/low occurred and can be extended to the right for a specified number of bars. Timezone Adjustment: Allows you to input a timezone offset to adjust session times based on your local time or desired market time zone. Customizable Colors & Line Thickness: Adjust the color and thickness of the session high and low lines to suit your visual preferences. Clear & Precise Levels: Helps identify important support and resistance levels, making it easier to spot market reactions around session highs and lows. This indicator is perfect for day traders and those looking to trade during specific market hours, offering clear visual markers of session boundaries and critical price levels.
Penunjuk Pine Script®
oleh breezeboy12
SuperFib Enhanced (Array Only)Key Changes: Removed MAX_LINES and defined const int MAX_STORAGE_CAPACITY = 200 (You can adjust 200 higher or lower, but be mindful of the total drawings limit). Removed all individual inputs (show1-show10, price1-price10, text1-text10) and their corresponding groups. The array input is now the only way to define levels. Removed the useArrayInput boolean input, as it's no longer needed. Initialized var hLines and var lineLabels arrays with MAX_STORAGE_CAPACITY. Modified the array parsing loop to respect MAX_STORAGE_CAPACITY when adding parsed levels. Modified the main drawing loop (if barstate.islast) to iterate from 0 up to MAX_STORAGE_CAPACITY - 1. Inside the loop, it checks if i < parsedLevelsCount to determine if a line should exist at that index. Modified the real-time update loop (if barstate.isrealtime) to also iterate up to MAX_STORAGE_CAPACITY - 1 to handle any potential drawing index within the indicator's capacity. Updated the tooltips for the array inputs to reflect that this is the primary method and mention the (increased) capacity limit. This version is more flexible for users who rely heavily on array input, allowing them to define up to 200 levels. Remember that while the indicator itself can manage 200, the total drawings on your chart from all sources still cannot exceed Pine Script's platform-wide limit.
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oleh Turkish_Trader_
Entropy [ScorsoneEnterprises]This indicator calculates the entropy of price log returns over a user-defined lookback period, providing insights into market complexity and unpredictability. Entropy measures the randomness or disorder in price movements, helping traders identify periods of high or low market uncertainty. How It Works The indicator computes the entropy of log returns (log(close/close )) using a histogram-based approach with customizable bins. Log returns are stored in an array of size N (lookback period), and entropy is calculated by: Binning the returns into bins intervals based on their range. Computing the probability distribution across bins. Calculating entropy as -Σ(p * log(p)), where p is the probability of each bin. A reference Simple Moving Average (SMA) of the entropy, with a separate lookback period (SMA_N), is plotted to highlight trends in market complexity. The entropy plot uses a gradient color scheme (red for lower entropy, teal for higher), while the SMA color shifts based on whether entropy is above (teal) or below (red) the SMA. Key Features Inputs: Lookback Period (default: 50): Number of bars for calculating log returns. Reference SMA Lookback Period (default: 100): Period for the entropy SMA. Number of Bins (default: 20): Number of histogram bins for entropy calculation. Plots: Entropy: Gradient-colored line reflecting market randomness. Reference SMA: Trend line to compare entropy against its average. Interpretation High Entropy: Indicates chaotic, unpredictable price movements, often during volatile or trendless markets. Low Entropy: Suggests more predictable, ordered price behavior, often in trending or stable markets. Compare entropy to its SMA to gauge whether current market complexity is above or below its recent average. Usage Use this indicator to assess market regimes. High entropy may signal choppy, range-bound conditions, while low entropy could indicate trending opportunities. Combine with price action or other indicators for confirmation. Examples We see on this PEPPERSTONE:COCOA chart that when entropy is low it signals a strong trend, either up or down. High entropy signals indecision and choppiness in the market. We can determine this by noticing when the value is above or below its recent average. Entropy is used in high frequency trading often. It is a nice tool for lower time frames to determine how predictable and strong a trend is. Inputs Users can enter the lookback value for entropy, bin count, and the look back for the entropy moving average. No tool is perfect, the Entropy value is also not perfect and should not be followed blindly. It is good to use any tool along with discretion and price action.
Penunjuk Pine Script®
oleh ScorsoneEnterprises
1
Long-Term VWAP Mean Reversion SDCACore Idea: This indicator is designed to support Strategic Dollar Cost Averaging (SDCA) for Bitcoin using a cumulative VWAP-based mean reversion model. It helps long-term investors identify high-conviction buy zones and overbought conditions using statistical deviation from the cumulative VWAP. This indicator evaluates how much price is stretched from the true market average price, weighted by cumulative volume over time. Core Concepts and Formulas: Cumulative VWAP (Volume Weighted Average Price): VWAP cumulative = ∑(Price×Volume) / ∑Volume A long-term anchor that reflects the average dollar cost of all market participants across all candles. This version does not reset daily, unlike intraday VWAP. VWAP Deviation % : Deviation% = Price - VWAP cumulative / VWAP cumulative x 100 Shows how far current price has diverged from the long-term fair value. Z-Score of VWAP Deviation: Z= (Price−VWAP)−μ / σ (lookback period: default 200) SDCA Multiplier Mapping: *Keep in mind in my Z-Score system, -2 represents the overbought level (white horizontal line) and +2 represents oversold (cyan horizontal line) conditions. So the scores on the Y axis and Z-score in the table are reversed. | Z-Score Range | SDCA Multiplier | --------------------------------------------- | ≤ -2 | 0.25× | -1 to +1 | 1.0× | > +2 | 2.0× The pink line plots this multiplier. It’s meant to control buy weight at each time step. How to Use This for SDCA: -Buy normally when the multiplier is 1.0× (Z-score between -1 and +1) -Accelerate buying when Z-score is deeply negative (price far below VWAP) -Slow or pause buying when Z-score is high (price far above VWAP) -Use the stats panel to track current Z-score, VWAP level, deviation %, and multiplier -Watch the red/blue backgrounds as visual confirmation of oversold/overbought zones Inputs: Z-Score Lookback Length: Default: 200 but can be adjusted. Visuals: Z-Score Line (cyan): shows current standardized deviation from VWAP Multiplier Line (bright pink): your SDCA intensity signal Background Zones: cyan = oversold, white = overbought Horizontal Lines: +2 and -2 standard deviation thresholds Stats Panel (bottom right): live values for Z-score, multiplier, price, VWAP, and the deviation formula Suited For: -Long-term Bitcoin investors -SDCA Systems -Mean reversion systems -Macro-level buy/sell planning
Penunjuk Pine Script®
oleh mrlonglaner
1
sideways market for strangleThis Pine Script is designed to identify **sideways or range-bound markets**, which are often ideal conditions for trading **options strangle strategies**. Here's a breakdown of what the script does: --- ### 🛠 **Purpose:** To **detect low-volatility, sideways market conditions** where price is not trending strongly in either direction — suitable for **neutral options strategies like short strangles**. --- ### 📌 **Key Components:** #### 1. **Inputs:** - `RSI Length`: Default 14 — used for calculating the Relative Strength Index (RSI). - `ADX Length`: Default 14 — used for calculating the Average Directional Index (ADX), DI+ (positive directional movement), and DI- (negative directional movement). #### 2. **RSI Calculation:** - `rsiValue` is calculated using the built-in `ta.rsi(close, rsiLength)`. - A **sideways market** is expected when RSI is in the **40–60 range**, indicating lack of strong momentum. #### 3. **ADX and Directional Indicators (DI+ and DI-):** - `diPlus` and `diMinus` are calculated based on recent price movements and the True Range. - `dx` (Directional Index) measures the strength of trend direction using the difference between DI+ and DI-. - `adx` is a smoothed version of `dx` and represents **overall trend strength**. #### 4. **Sideways Market Conditions:** - **RSI Condition**: RSI is between 40 and 60. - **ADX Condition**: - `adx <= 25` → Weak or no trend. - `adx < diPlus` and `adx < diMinus` → Confirms ADX is lower than directional components, reducing likelihood of a trending market. #### 5. **Signal Plot:** - A **green label below the bar** (`shape.labelup`) is plotted when both conditions are met. - Indicates potential sideways market conditions. --- ### ✅ **Use Case:** - This signal can help identify **low-volatility zones** suitable for **short strangles** or **iron condors**, where you profit from time decay while expecting the price to stay within a range.
Penunjuk Pine Script®
oleh jaydipali622018