Yüzde 5 Kar ve Yüzde 2 Zarar Stop Stratejisi15 dk grafikte rsi,hacim,bollinger bantları kullanarak strateji oluşturur.
Pattern grafici
Yüzde 5 Kar ve Yüzde 2 Zarar Stop Stratejisi15 dk grafikde rsi,bollinger bantları,fiyat,hacim kullanarak işlem yapmak için kullanılabilir.
Master LTC/BTC Mining Energy Ratio, Usage (GW) & Miner CountThis Pine Script indicator, "Master LTC/BTC Mining Energy Ratio, Usage (GW) & Miner Count," calculates and visualizes key metrics for Litecoin (LTC) and Bitcoin (BTC) mining operations. Using IntoTheBlock hashrate data, it estimates the number of L7 (LTC) and S19 (BTC) miners, computes energy consumption in gigawatts (GW) based on calibrated efficiency values, and derives the LTC/BTC energy ratio as a percentage. The script plots these metrics—energy ratio, LTC/BTC energy usage, and miner counts (in thousands)—and displays a concise table summarizing the results. Assuming most miners use previous-generation hardware, it provides a clear comparison of the energy dynamics between LTC’s Scrypt and BTC’s SHA-256 algorithms.
Tighter Support, Resistance, and Consolidation ZonesScript that shows Support, Resistance and Consolidation.
Returns & Distance from ATHHere’s what that Pine Script does, in everyday terms:
1. **Look back in time**
- It grabs the closing price from **3 months ago** and **1 month ago** by asking TradingView’s “monthly” data for the symbol.
2. **Calculate percentage changes**
- **3-month return** = (today’s close – close 3 months ago) ÷ (close 3 months ago) × 100
- **1-month return** = (today’s close – close 1 month ago) ÷ (close 1 month ago) × 100
3. **Track the highest price ever seen (ATH)**
- It keeps a running “all-time high” variable, updating it any time today’s high exceeds the previous ATH.
4. **Compute how far you are below ATH**
- **% from ATH** = (ATH – today’s close) ÷ ATH × 100
5. **Build a little stats table on your chart**
- It makes a 2-row by 3-column box in the **top-center** of your price panel.
- The **first row** has labels: “3M % Return”, “1M % Return”, “% from ATH”.
- The **second row** shows the three computed numbers, each formatted to two decimal places and suffixed with “%.”
6. **Refresh only once per bar**
- All of these values and the table get updated **at the close** of each bar, so your table always shows the latest stats without cluttering the chart with extra drawings.
In short, this indicator quietly collects the right historical prices, does three simple percent-change math steps, and then displays those three key numbers in a neat, always-visible box at the top of your TradingView chart.
Trend Direction on 1 Hour Timeframe1 Hour timeframe indicator of trend direction using EMA 9/21. Chart as background color indicating trend.
NR4/NR7 + Trend + MACD + VWAP FilterThe Ultimate Momentum-Compression Strategy
This strategy merges the power of price compression and trend confirmation, ensuring you're trading when the market is coiled and ready to move. By combining multiple filters—NR4/NR7, trend alignment, MACD momentum, and VWAP support—this setup identifies high-probability trade opportunities in dynamic, trending stocks. Here's how it works:
NR4/NR7 Patterns: These are narrow-range days where the current price range is smaller than the previous 4 or 7 days. This signals potential breakout or continuation setups, as the market is compressing before making a move.
Trend Confirmation: To ensure you're not trading against the current trend, the price must be above the 20 EMA, and the 10 EMA must be above the 20 EMA. This confirms a bullish structure, with the price trending in your favour.
MACD Momentum: The fast MACD line must be above the slow MACD line, confirming the trend is not only intact but also gaining momentum.
VWAP Filter: Price must be above the VWAP (Volume Weighted Average Price). This is the final confirmation that the market is in a strong, bullish phase, with buyers dominating the market.
By requiring all these conditions to align, this strategy takes the guesswork out of day trading. It ensures you're trading within a well-established trend, with compression patterns and momentum backing your trade. The result? You’re entering positions with confidence and clarity, poised to ride strong, sustained moves.
This strategy is for the trader who values both flexibility and discipline—able to capture dynamic moves while staying aligned with market structure and momentum. It’s a refined, systematic approach that makes decisions clear, without the emotional second-guessing.
SPY 0DTE Scalper - Auto AlertsTimeframes:
Main chart: 1-minute (for precision entries)
Confirmations: 3-minute or 5-minute (to avoid fakeouts)
Indicators I Use:
VWAP – Orange line → Institutional fair value
EMA 9 – Green line → Short-term momentum
EMA 21 – Red line → Trend filter
Custom Pullback Signal Script – Marks buy/sell/pullback signals with labels (triangles)
Above VWAP = Bullish Bias
Below VWAP = Bearish Bias
Institutions treat this as the "fair price" — so I do too.
EMA 9 (Green):
If price hugs or bounces off EMA 9 = 🔥 strong continuation move.
I use this as my guide for momentum.
EMA 21 (Red):
Great for trend confirmation.
Above EMA 21 = Trend building to the upside.
Below EMA 21 = Weakness or possible reversal.
💸 Step 3: How I Read the Signals
✅ BUY Signal:
Price breaks above VWAP with volume 1.5x+ average
Candle must close strong (not a wickfest)
EMA 9 becomes my trailing stop for the move
🚨 SELL Signal:
Price breaks below VWAP with strong volume
Clean body close below → momentum shift to the downside
EMA 9 again = trailing resistance guide
🔵 Pullback Long (Blue Triangle Under Candle):
Bullish continuation entry
Price pulls back to EMA 9 or 21, but stays above VWAP
Low-risk re-entry after a breakout
🟣 Pullback Short (Purple Triangle Above Candle):
Bearish continuation entry
Price retraces into EMA 9, but stays below VWAP & EMA 21
Ideal for catching second legs after breakdowns
Whale Psychology Insights
### 🧠 Whale Psychology Insights – Unmasking Smart Money Moves
**Understand the mind games behind every candle.**
This advanced indicator is designed to reveal the psychological warfare played by whales and market manipulators in the crypto space. Stop trading blind—start trading with the insights of the smart money.
#### 🔍 What It Does:
- **Liquidity Zone Detection** – Automatically identifies key **swing highs/lows** where stop hunts are likely.
- **Volume Spike Alerts** – Spot **suspicious activity** where big players enter or exit.
- **Order Block Zones** – Highlights **bullish/bearish engulfing patterns** used by institutions.
- **Fair Value Gaps (FVG)** – Marks price inefficiencies where price may return.
- **Fakeout Detection** – Finds **manipulative wicks** designed to trap retail traders.
#### 💡 Use Cases:
- Avoid getting stopped out by **liquidity grabs**
- Enter after the **whales have made their move**
- Identify **high-probability reversal zones**
- Trade **with smart money**, not against it
Perfect for scalpers, intraday traders, and swing traders looking to understand *why* price moves—not just *where*.
> 🧠 **Trade the psychology, not just the chart.**
2HH2LL [CCE_Charts]Detects the "Two Higher Highs, Two Lower Lows" (2HH2LL) pattern formation and provides strength analysis with trade signals. The indicator displays visual markers, S/R zones, and clear signals for LONG or SHORT positions.
Pattern Description
The 2HH2LL pattern consists of two consecutive higher highs and two consecutive lower lows. This formation can signal potential trend reversals or continuations depending on market context.
Key Features
• Pattern strength analysis using S/R zone and volume confirmation
• Clear LONG or SHORT trade signals
• Visual markers highlighting pattern components
• Support/Resistance zone visualization
• Customizable alerts for real-time notifications
• Detailed information panel
How to Use This Indicator
1. Add the indicator to your chart
2. Configure settings based on your trading style
3. Look for the "2HH2LL" label when a valid pattern forms
4. Check the pattern strength (STRONG, MEDIUM, WEAK)
5. Note the trade direction signal (LONG or SHORT)
6. Verify the pattern with other technical tools
7. Set up alerts for real-time notifications
Settings Guide
Pattern Settings
• Lookback Period: Controls pivot point detection (5-50)
• Minimum Swing Strength: Required percentage change between highs/lows
Confirmation Settings
• S/R Zone Size: Size of support/resistance zone
• Volume Confirmation Threshold: Volume multiple required for confirmation
• Volume Average Period: Bars used for volume average calculation
Visual Settings
• Show H1/H2/L1/L2 Labels: Toggle pattern component labels
• Show S/R Zone: Toggle support/resistance zone display
Signal Settings
• Trade Direction: How trade direction is determined (SHORT, LONG, AUTO)
Alert Settings
• Alert on All Patterns: Trigger alerts for all valid patterns
• Alert on STRONG Patterns Only: Only alert on strong patterns
• Alert on Direction: Filter alerts by trade direction
Pattern Strength Analysis
The indicator classifies pattern strength into three categories:
• STRONG: Both confirmation factors present (S/R test and volume)
• MEDIUM: One confirmation factor present
• WEAK: No confirmation factors present
For best results, use this indicator in combination with other technical tools and always consider the broader market context.
ADR% Extension Levels from SMA 50I created this indicator inspired by RealSimpleAriel (a swing trader I recommend following on X) who does not buy stocks extended beyond 4 ADR% from the 50 SMA and uses extensions from the 50 SMA at 7-8-9-10-11-12-13 ADR% to take profits with a 20% position trimming.
RealSimpleAriel's strategy (as I understood it):
-> Focuses on leading stocks from leading groups and industries, i.e., those that have grown the most in the last 1-3-6 months (see on Finviz groups and then select sector-industry).
-> Targets stocks with the best technical setup for a breakout, above the 200 SMA in a bear market and above both the 50 SMA and 200 SMA in a bull market, selecting those with growing Earnings and Sales.
-> Buys stocks on breakout with a stop loss set at the day's low of the breakout and ensures they are not extended beyond 4 ADR% from the 50 SMA.
-> 3-5 day momentum burst: After a breakout, takes profits by selling 1/2 or 1/3 of the position after a 3-5 day upward move.
-> 20% trimming on extension from the 50 SMA: At 7 ADR% (ADR% calculated over 20 days) extension from the 50 SMA, takes profits by selling 20% of the remaining position. Continues to trim 20% of the remaining position based on the stock price extension from the 50 SMA, calculated using the 20-period ADR%, thus trimming 20% at 8-9-10-11 ADR% extension from the 50 SMA. Upon reaching 12-13 ADR% extension from the 50 SMA, considers the stock overextended, closes the remaining position, and evaluates a short.
-> Trailing stop with ascending SMA: Uses a chosen SMA (10, 20, or 50) as the definitive stop loss for the position, depending on the stock's movement speed (preferring larger SMAs for slower-moving stocks or for long-term theses). If the stock's closing price falls below the chosen SMA, the entire position is closed.
In summary:
-->Buy a breakout using the day's low of the breakout as the stop loss (this stop loss is the most critical).
--> Do not buy stocks extended beyond 4 ADR% from the 50 SMA.
--> Sell 1/2 or 1/3 of the position after 3-5 days of upward movement.
--> Trim 20% of the position at each 7-8-9-10-11-12-13 ADR% extension from the 50 SMA.
--> Close the entire position if the breakout fails and the day's low of the breakout is reached.
--> Close the entire position if the price, during the rise, falls below a chosen SMA (10, 20, or 50, depending on your preference).
--> Definitively close the position if it reaches 12-13 ADR% extension from the 50 SMA.
I used Grok from X to create this indicator. I am not a programmer, but based on the ADR% I use, it works.
Below is Grok from X's description of the indicator:
Script Description
The script is a custom indicator for TradingView that displays extension levels based on ADR% relative to the 50-period Simple Moving Average (SMA). Below is a detailed description of its features, structure, and behavior:
1. Purpose of the Indicator
Name: "ADR% Extension Levels from SMA 50".
Objective: Draw horizontal blue lines above and below the 50-period SMA, corresponding to specific ADR% multiples (4, 7, 8, 9, 10, 11, 12, 13). These levels represent potential price extension zones based on the average daily percentage volatility.
Overlay: The indicator is overlaid on the price chart (overlay=true), so the lines and SMA appear directly on the price graph.
2. Configurable Inputs
The indicator allows users to customize parameters through TradingView settings:
SMA Length (smaLength):
Default: 50 periods.
Description: Specifies the number of periods for calculating the Simple Moving Average (SMA). The 50-period SMA serves as the reference point for extension levels.
Constraint: Minimum 1 period.
ADR% Length (adrLength):
Default: 20 periods.
Description: Specifies the number of days to calculate the moving average of the daily high/low ratio, used to determine ADR%.
Constraint: Minimum 1 period.
Scale Factor (scaleFactor):
Default: 1.0.
Description: An optional multiplier to adjust the distance of extension levels from the SMA. Useful if levels are too close or too far due to an overly small or large ADR%.
Constraint: Minimum 0.1, increments of 0.1.
Tooltip: "Adjust if levels are too close or far from SMA".
3. Main Calculations
50-period SMA:
Calculated with ta.sma(close, smaLength) using the closing price (close).
Serves as the central line around which extension levels are drawn.
ADR% (Average Daily Range Percentage):
Formula: 100 * (ta.sma(dhigh / dlow, adrLength) - 1).
Details:
dhigh and dlow are the daily high and low prices, obtained via request.security(syminfo.tickerid, "D", high/low) to ensure data is daily-based, regardless of the chart's timeframe.
The dhigh / dlow ratio represents the daily percentage change.
The simple moving average (ta.sma) of this ratio over 20 days (adrLength) is subtracted by 1 and multiplied by 100 to obtain ADR% as a percentage.
The result is multiplied by scaleFactor for manual adjustments.
Extension Levels:
Defined as ADR% multiples: 4, 7, 8, 9, 10, 11, 12, 13.
Stored in an array (levels) for easy iteration.
For each level, prices above and below the SMA are calculated as:
Above: sma50 * (1 + (level * adrPercent / 100))
Below: sma50 * (1 - (level * adrPercent / 100))
These represent price levels corresponding to a percentage change from the SMA equal to level * ADR%.
4. Visualization
Horizontal Blue Lines:
For each level (4, 7, 8, 9, 10, 11, 12, 13 ADR%), two lines are drawn:
One above the SMA (e.g., +4 ADR%).
One below the SMA (e.g., -4 ADR%).
Color: Blue (color.blue).
Style: Solid (style=line.style_solid).
Management:
Each level has dedicated variables for upper and lower lines (e.g., upperLine1, lowerLine1 for 4 ADR%).
Previous lines are deleted with line.delete before drawing new ones to avoid overlaps.
Lines are updated at each bar with line.new(bar_index , level, bar_index, level), covering the range from the previous bar to the current one.
Labels:
Displayed only on the last bar (barstate.islast) to avoid clutter.
For each level, two labels:
Above: E.g., "4 ADR%", positioned above the upper line (style=label.style_label_down).
Below: E.g., "-4 ADR%", positioned below the lower line (style=label.style_label_up).
Color: Blue background, white text.
50-period SMA:
Drawn as a gray line (color.gray) for visual reference.
Diagnostics:
ADR% Plot: ADR% is plotted in the status line (orange, histogram style) to verify the value.
ADR% Label: A label on the last bar near the SMA shows the exact ADR% value (e.g., "ADR%: 2.34%"), with a gray background and white text.
5. Behavior
Dynamic Updating:
Lines update with each new bar to reflect new SMA 50 and ADR% values.
Since ADR% uses daily data ("D"), it remains constant within the same day but changes day-to-day.
Visibility Across All Bars:
Lines are drawn on every bar, not just the last one, ensuring visibility on historical data as well.
Adaptability:
The scaleFactor allows level adjustments if ADR% is too small (e.g., for low-volatility symbols) or too large (e.g., for cryptocurrencies).
Compatibility:
Works on any timeframe since ADR% is calculated from daily data.
Suitable for symbols with varying volatility (e.g., stocks, forex, cryptocurrencies).
6. Intended Use
Technical Analysis: Extension levels represent significant price zones based on average daily volatility. They can be used to:
Identify potential price targets (e.g., take profit at +7 ADR%).
Assess support/resistance zones (e.g., -4 ADR% as support).
Measure price extension relative to the 50 SMA.
Trading: Useful for strategies based on breakouts or mean reversion, where ADR% levels indicate reversal or continuation points.
Debugging: Labels and ADR% plot help verify that values align with the symbol’s volatility.
7. Limitations
Dependence on Daily Data: ADR% is based on daily dhigh/dlow, so it may not reflect intraday volatility on short timeframes (e.g., 1 minute).
Extreme ADR% Values: For low-volatility symbols (e.g., bonds) or high-volatility symbols (e.g., meme stocks), ADR% may require adjustments via scaleFactor.
Graphical Load: Drawing 16 lines (8 upper, 8 lower) on every bar may slow the chart for very long historical periods, though line management is optimized.
ADR% Formula: The formula 100 * (sma(dhigh/dlow, Length) - 1) may produce different values compared to other ADR% definitions (e.g., (high - low) / close * 100), so users should be aware of the context.
8. Visual Example
On a chart of a stock like TSLA (daily timeframe):
The 50 SMA is a gray line tracking the average trend.
Assuming an ADR% of 3%:
At +4 ADR% (12%), a blue line appears at sma50 * 1.12.
At -4 ADR% (-12%), a blue line appears at sma50 * 0.88.
Other lines appear at ±7, ±8, ±9, ±10, ±11, ±12, ±13 ADR%.
On the last bar, labels show "4 ADR%", "-4 ADR%", etc., and a gray label shows "ADR%: 3.00%".
ADR% is visible in the status line as an orange histogram.
9. Code: Technical Structure
Language: Pine Script @version=5.
Inputs: Three configurable parameters (smaLength, adrLength, scaleFactor).
Calculations:
SMA: ta.sma(close, smaLength).
ADR%: 100 * (ta.sma(dhigh / dlow, adrLength) - 1) * scaleFactor.
Levels: sma50 * (1 ± (level * adrPercent / 100)).
Graphics:
Lines: Created with line.new, deleted with line.delete to avoid overlaps.
Labels: Created with label.new only on the last bar.
Plots: plot(sma50) for the SMA, plot(adrPercent) for debugging.
Optimization: Uses dedicated variables for each line (e.g., upperLine1, lowerLine1) for clear management and to respect TradingView’s graphical object limits.
10. Possible Improvements
Option to show lines only on the last bar: Would reduce visual clutter.
Customizable line styles: Allow users to choose color or style (e.g., dashed).
Alert for anomalous ADR%: A message if ADR% is too small or large.
Dynamic levels: Allow users to specify ADR% multiples via input.
Optimization for short timeframes: Adapt ADR% for intraday timeframes.
Conclusion
The script creates a visual indicator that helps traders identify price extension levels based on daily volatility (ADR%) relative to the 50 SMA. It is robust, configurable, and includes debugging tools (ADR% plot and labels) to verify values. The ADR% formula based on dhigh/dlow
Wyckoff Accumulation Distribution Wyckoff Accumulation & Distribution Indicator (RSI-Based)
This Pine Script is a technical analysis indicator built around the Wyckoff Method, designed to detect accumulation and distribution phases using RSI (Relative Strength Index) and pivot points. It automatically marks key structural turning points on the chart and highlights relevant zones with colored boxes.
What Does It Do?
Draws accumulation and distribution boxes based on RSI behavior.
Automatically detects Wyckoff structural signals:
SC (Selling Climax)
AR (Automatic Rally)
ST (Secondary Test)
BC (Buying Climax)
DAR (Automatic Reaction)
DST (Secondary Test - Distribution)
Identifies trend transitions by detecting sideways RSI movement.
Attempts to detect spring and UTAD-like deviations based on RSI reversals.
Uses RSI extremes in conjunction with pivot points to generate Wyckoff signals.
How Does It Work?
RSI Zone: It identifies sideways markets when RSI stays within ±20 of the 50 level (this range is configurable).
Pivot Points: It detects pivot highs/lows that sync with RSI values (pivotLen is adjustable).
Trend Box Drawing:
When RSI exits the sideways zone, the script draws a gray box between the highest high and lowest low within that range.
If RSI breaks upward, the box becomes green (Accumulation); if downward, it becomes red (Distribution).
Wyckoff Structural Points:
SC/BC: Detected when a pivot occurs with RSI below/above a threshold.
AR/DAR: The next opposite pivot after SC or BC.
ST/DST: The next same-direction pivot after AR or DAR.
How to Use It
Works best on 4H or daily charts for more reliable signals. Shorter timeframes may generate noise.
Primarily used for interpreting RSI structures through the lens of Wyckoff methodology.
Box colors help quickly identify market phase:
Green box: Likely Accumulation
Red box: Likely Distribution
Triangular markers show key signals:
SC, AR, ST: Accumulation points
BC, DAR, DST: Distribution points
Use these signals alongside price action to manually interpret Wyckoff phases.
image.binance.vision
image.binance.vision
What Is the Wyckoff Method?
The Wyckoff Method, developed in the 1930s by Richard Wyckoff, is a market analysis approach that focuses on supply and demand dynamics behind price movements.
Wyckoff’s 5 Phases:
Accumulation: Smart money gradually buying at low prices.
Markup: Price begins trending upwards.
Distribution: Smart money selling to retail traders.
Markdown: Downtrend begins as supply outweighs demand.
Re-accumulation / Re-distribution: Trend-continuation phases with consolidations.
This indicator is specifically designed to detect phase 1 (Accumulation) and phase 3 (Distribution).
Extra Notes
Repainting is minimal, as pivots are confirmed using historical candles.
Labels use plotshape for a clean, minimalist visual style.
Other Wyckoff events (like SOS, LPS, UT, UTAD) could be added in future updates.
This script does not generate buy/sell signals; it is meant for structural interpretation.
Anchored Darvas Box## ANCHORED DARVAS BOX
---
### OVERVIEW
**Anchored Darvas Box** lets you drop a single timestamp on your chart and build a Darvas-style consolidation zone forward from that exact candle. The indicator freezes the first user-defined number of bars to establish the range, verifies that price respects that range for another user-defined number of bars, then waits for the first decisive breakout. The resulting rectangle captures every tick of the accumulation phase and the exact moment of expansion—no manual drawing, complete timestamp precision.
---
### HISTORICAL BACKGROUND
Nicolas Darvas’s 1950s box theory tracked institutional accumulation by hand-drawing rectangles around tight price ranges. A trade was triggered only when price escaped the rectangle.
The anchored version preserves Darvas’s logic but pins the entire sequence to a user-chosen candle: perfect for analysing a market open, an earnings release, FOMC minute, or any other catalytic bar.
---
### ALGORITHM DETAIL
1. **ANCHOR BAR**
*You provide a timestamp via the settings panel.* The script waits until the chart reaches that bar and records its index as **startBar**.
2. **RANGE DEFINITION — BARS 1-7**
• `rangeHigh` = highest high of bars 1-7 plus optional tolerance.
• `rangeLow` = lowest low of bars 1-7 minus optional tolerance.
3. **RANGE VALIDATION — BARS 8-14**
• Price must stay inside ` `.
• Any violation aborts the test; no box is created.
4. **ARMED STATE**
• If bars 8-14 hold the range, two live guide-lines appear:
– **Green** at `rangeHigh`
– **Red** at `rangeLow`
• The script is now “armed,” waiting indefinitely for the first true breakout.
5. **BREAKOUT & BOX CREATION**
• **Up breakout** =`high > rangeHigh` → rectangle drawn in **green**.
• **Down breakout**=`low < rangeLow` → rectangle drawn in **red**.
• Box extends from **startBar** to the breakout bar and never updates again.
• Optional labels print the dollar and percentage height of the box at its left edge.
6. **OPTIONAL COOLDOWN**
• After the box is painted the script can stay silent for a user-defined number of bars, letting you study the fallout without another range immediately arming on top of it.
---
### INPUT PARAMETERS
• **ANCHOR TIME** – Precise yyyy-mm-dd HH:MM:SS that seeds the sequence.
• **BARS TO DEFINE RANGE** – Default 7; affects both definition and validation windows.
• **OPTIONAL TOLERANCE** – Absolute price buffer to ignore micro-wicks.
• **COOLDOWN BARS AFTER BREAKOUT** – Pause length before the indicator is allowed to re-anchor (set to zero to disable).
• **SHOW BOX DISTANCE LABELS** – Toggle to print Δ\$ and Δ% on every completed box.
---
### USER WORKFLOW
1. Add the indicator, open settings, and set **ANCHOR TIME** to the candle you care about (e.g., “2025-04-23 09:30:00” for NYSE open).
2. Watch live as the script:
– Paints the seven-bar range.
– Draws validation lines.
– Locks in the box on breakout.
3. Use the box boundaries as structural stops, targets, or context for further trades.
---
### PRACTICAL APPLICATIONS
• **OPENING RANGE BREAKOUTS** – Anchor at the first second of the session; capture the initial 7-bar range and trade the first clean break.
• **EVENT STUDIES** – Anchor at a news candle to measure immediate post-event volatility.
• **VOLUME PROFILE FUSION** – Combine the anchored box with VPVR to see if the breakout occurs at a high-volume node or a low-liquidity pocket.
• **RISK DISCIPLINE** – Stop-loss can sit just inside the opposite edge of the anchored range, enforcing objective risk.
---
### ADVANCED CUSTOMISATION IDEAS
• **MULTIPLE ANCHORS** – Clone the indicator and anchor several boxes (e.g., London open, New York open).
• **DYNAMIC WINDOW** – Switch the 7-bar fixed length to a volatility-scaled length (ATR percentile).
• **STRATEGY WRAPPER** – Turn the indicator into a `strategy{}` script and back-test anchored boxes on decades of data.
---
### FINAL THOUGHTS
Anchored Darvas Boxes give you Darvas’s timeless range-break methodology anchored to any candle of interest—perfect for dissecting openings, economic releases, or your own bespoke “important” bars with laboratory precision.
Auto Darvas Boxes## AUTO DARVAS BOXES
---
### OVERVIEW
**Auto Darvas Boxes** is a fully-automated, event-driven implementation of Nicolas Darvas’s 1950s box methodology.
The script tracks consolidation zones in real time, verifies that price truly “respects” those zones for a fixed validation window, then waits for the first decisive range violation to mark a directional breakout.
Every box is plotted end-to-end—from the first candle of the sideways range to the exact candle that ruptures it—giving you an on-chart, visually precise record of accumulation or distribution and the expansion that follows.
---
### HISTORICAL BACKGROUND
* Nicolas Darvas was a professional ballroom dancer who traded U.S. equities by telegram while touring the world.
* Without live news or Level II, he relied exclusively on **price** to infer institutional intent.
* His core insight: true market-moving entities leave footprints in the form of tight ranges; once their buying (or selling) is complete, price erupts out of the “box.”
* Darvas’s original procedure was manual—he kept notebooks, drew rectangles around highs and lows, and entered only when price punched out of the roof of a valid box.
* This indicator distills that logic into a rolling, self-resetting state machine so you never miss a box or breakout on any timeframe.
---
### ALGORITHM DETAIL (FOUR-STATE MACHINE)
**STATE 0 – RANGE DEFINITION**
• Examine the last *N* candles (default 7).
• Record `rangeHigh = highest(high, N) + tolerance`.
• Record `rangeLow = lowest(low, N) – tolerance`.
• Remember the index of the earliest bar in this window (`startBar`).
• Immediately transition to STATE 1.
**STATE 1 – RANGE VALIDATION**
• Observe the next *N* candles (again default 7).
• If **any** candle prints `high > rangeHigh` or `low < rangeLow`, the validation fails and the engine resets to STATE 0 **beginning at the violating candle**—no halfway boxes, no overlap.
• If all *N* candles remain inside the range, the box becomes **armed** and we transition to STATE 2.
**STATE 2 – ARMED (LIVE VISUAL FEEDBACK)**
• Draw a **green horizontal line** at `rangeHigh`.
• Draw a **red horizontal line** at `rangeLow`.
• Lines are extended in real time so the user can see the “live” Darvas ceiling and floor.
• Engine waits indefinitely for a breakout candle:
– **Up-Breakout** if `high > rangeHigh`.
– **Down-Breakout** if `low < rangeLow`.
**STATE 3 – BREAKOUT & COOLDOWN**
• Upon breakout the script:
1. Deletes the live range lines.
2. Draws a **filled rectangle (box)** from `startBar` to the breakout bar.
◦ **Green fill** when price exits above the ceiling.
◦ **Red fill** when price exits below the floor.
3. Optionally prints two labels at the left edge of the box:
◦ Dollar distance = `rangeHigh − rangeLow`.
◦ Percentage distance = `(rangeHigh − rangeLow) / rangeLow × 100 %`.
• After painting, the script waits a **user-defined cooldown** (default = 7 bars) before reverting to STATE 0. The cooldown guarantees separation between consecutive tests and prevents overlapping rectangles.
---
### INPUT PARAMETERS (ALL ADJUSTABLE FROM THE SETTINGS PANEL)
* **BARS TO DEFINE RANGE** – Number of candles used for both the definition and validation windows. Classic Darvas logic uses 7 but feel free to raise it on higher timeframes or volatile instruments.
* **OPTIONAL TOLERANCE** – Absolute price buffer added above the ceiling and below the floor. Use a small tolerance to ignore single-tick spikes or data-feed noise.
* **COOLDOWN BARS AFTER BREAKOUT** – How long the engine pauses before hunting for the next consolidation. Setting this equal to the range length produces non-overlapping, evenly spaced boxes.
* **SHOW BOX DISTANCE LABELS** – Toggle on/off. When on, each completed box displays its vertical size in both dollars and percentage, anchored at the box’s left edge.
---
### REAL-TIME VISUALISATION
* During the **armed** phase you see two extended, colour-coded guide-lines showing the exact high/low that must hold.
* When the breakout finally occurs, those lines vanish and the rectangle instantly appears, coloured to match the breakout direction.
* This immediate visual feedback turns any chart into a live Darvas tape—no manual drawing, no lag.
---
### PRACTICAL USE-CASES & BEST-PRACTICE WORKFLOWS
* **INTRADAY MOMENTUM** – Drop the script on 1- to 15-minute charts to catch tight coils before they explode. The coloured box marks the precise origin of the expansion; stops can sit just inside the opposite side of the box.
* **SWING & POSITION TRADING** – On 4-hour or daily charts, boxes often correspond to accumulation bases or volatility squeezes. Waiting for the box-validated breakout filters many false signals.
* **MEAN-REVERSION OR “FADE” STRATEGIES** – If a breakout immediately fails and price re-enters the box, you may have trapped momentum traders; fading that failure can be lucrative.
* **RISK MANAGEMENT** – Box extremes provide objective, structure-based stop levels rather than arbitrary ATR multiples.
* **BACK-TEST RESEARCH** – Because each box is plotted from first range candle to breakout candle, you can programmatically measure hold time, range height, and post-breakout expectancy for any asset.
---
### CUSTOMISATION IDEAS FOR POWER USERS
* **VOLATILITY-ADAPTIVE WINDOW** – Replace the fixed 7-bar length with a dynamic value tied to ATR percentile so the consolidation window stretches or compresses with volatility.
* **MULTI-TIMEFRAME LOGIC** – Only arm a 5-minute box if the 1-hour trend is aligned.
* **STRATEGY WRAPPER** – Convert the indicator to a full `strategy{}` script, automate entries on breakouts, and benchmark performance across assets.
* **ALERTS** – Create TradingView alerts on both up-breakout and down-breakout conditions; route them to webhook for broker automation.
---
### FINAL THOUGHTS
**Auto Darvas Boxes** packages one of the market’s oldest yet still potent price-action frameworks into a modern, self-resetting indicator. Whether you trade equities, futures, crypto, or forex, the script highlights genuine contraction-expansion sequences—Darvas’s original “boxes”—with zero manual effort, letting you focus solely on execution and risk.
The LBF modelThe LBF Model is a structural pattern detector that highlights potential reversal zones using a specific sequence of pivot points. It identifies both bearish (LL → LH → LL → HH → LH) and bullish (HH → HL → HH → LL → HL) formations, marking moments where price shows signs of exhaustion and directional shift.
Built purely on price action, the LBF Model avoids indicators and focuses on clean structure. It draws patterns directly on the chart, with customizable sensitivity and colors. Whether used on its own or with other tools, it helps traders spot key turning points with clarity and precision.
Multi Scanner Plot & Table V1Here's how to interpret each column in the table:
Price vs MAs:
What it shows: Where the current price is relative to the short-term (e.g., 20-period) and long-term (e.g., 50-period) Simple Moving Averages (SMAs) calculated on your current chart's timeframe.
Interpretation:
Above Both (Green background): Price is above both the short and long MAs. Generally considered a bullish sign for the current trend.
Below Both (Red background): Price is below both MAs. Generally considered a bearish sign.
Mixed (Gray background): Price is between the two MAs (e.g., above the short but below the long, or vice-versa). Indicates indecision or a potential trend change.
RSI Value:
What it shows: The actual numerical value of the Relative Strength Index (RSI) calculated on your current chart's timeframe.
Interpretation: Just the raw RSI number (e.g., 65.32). The background is always gray. You compare this value to standard overbought/oversold levels (like 70/30) or the levels defined in the script's inputs.
RSI Status:
What it shows: Interprets the RSI Value based on the Overbought/Oversold levels set in the script's inputs (default 70/30). Calculated on your current chart's timeframe.
Interpretation:
Overbought (Red background): RSI is above the overbought level (e.g., > 70). Suggests the asset might be due for a pullback or reversal downwards. Red indicates a potentially bearish condition.
Oversold (Green background): RSI is below the oversold level (e.g., < 30). Suggests the asset might be due for a bounce or reversal upwards. Green indicates a potentially bullish condition.
Neutral (Gray background): RSI is between the oversold and overbought levels.
Last Sig Price:
What it shows: The price level where the last "SIG NOW" Buy or Sell signal occurred on your current chart's timeframe.
Interpretation: Helps you see the entry price of the most recent short-term signal generated by this script. The background color matches the signal type: Green for the last Buy signal, Red for the last Sell signal. N/A if no signal has occurred yet.
SIG NOW:
What it shows: This is the main short-term signal generated by the script based on conditions on your current chart's timeframe. It combines the "Price vs MAs" status and specific RSI conditions (price must be above/below both MAs and RSI must be within a certain range defined in the inputs).
Interpretation:
BUY (Green background): The specific buy conditions are met right now. (Price above both MAs AND RSI is strong but not necessarily overbought).
SELL (Red background): The specific sell conditions are met right now. (Price below both MAs AND RSI is weak but not necessarily oversold).
NEUTRAL (Gray background): Neither the Buy nor the Sell conditions are currently met.
ALERT:
What it shows: Flags unusual volume activity on the current bar compared to the recent average volume (calculated on your current chart's timeframe).
Interpretation:
SPIKE (Yellow background, black text): Current volume is significantly higher than the recent average (defined by the Volume Spike Multiplier). Can indicate strong interest or a potential climax.
DUMP (Purple background): Current volume is significantly lower than the recent average (defined by the Volume Dump Multiplier). Can indicate fading interest.
NONE (Gray background): Volume is within the normal range for the lookback period.
SD$:
What it shows: The price level where the last Volume Spike or Dump occurred on your current chart's timeframe.
Interpretation: Shows the price associated with the most recent significant volume event. The background color indicates the type of the last event: Green if the last event was a Spike, Red if the last event was a Dump. N/A if no Spike/Dump has occurred yet.
BB Value (%B):
What it shows: This relates to Bollinger Bands, but specifically calculated on a Higher Timeframe (HTF) that you can set in the inputs (e.g., Daily BBs while viewing an Hourly chart). It shows the Bollinger Band Percent B (%B) value for that HTF. %B measures where the HTF closing price is relative to the HTF upper and lower bands.
Interpretation:
Value > 1: HTF price closed above the HTF upper Bollinger Band.
Value < 0: HTF price closed below the HTF lower Bollinger Band.
Value between 0 and 1: HTF price closed within the HTF Bollinger Bands (e.g., 0.5 is exactly on the middle band).
The background is always gray.
LTS (Long Term Signal):
What it shows: A signal derived only from the Higher Timeframe (HTF) Bollinger Bands.
Interpretation:
BUY (Green background): The HTF price closed above the HTF upper Bollinger Band (see BB Value > 1). Considered a strong bullish signal from the higher timeframe perspective.
SELL (Red background): The HTF price closed below the HTF lower Bollinger Band (see BB Value < 0). Considered a strong bearish signal from the higher timeframe perspective.
NEUTRAL (Gray background): The HTF price closed within the HTF Bollinger Bands.
How to Understand Bollinger Bands and Signals in this Context:
Bollinger Bands are primarily used for the Long Term Signal (LTS) column. This script calculates BBs on a higher timeframe (you choose which one, or it defaults to the chart's timeframe if left blank).
The "LTS" signal triggers:
A BUY when the price on that higher timeframe closes above its upper Bollinger Band. This often indicates strong momentum or a potential breakout.
A SELL when the price on that higher timeframe closes below its lower Bollinger Band. This often indicates strong negative momentum or a potential breakdown.
The "BB Value" column gives you the raw %B number from that same higher timeframe, showing you exactly where the price is relative to the bands (is it just barely above/below, or way outside?).
The script does not directly use Bollinger Bands from the current chart timeframe for the "SIG NOW" or other table signals. The main short-term signals ("SIG NOW") rely on Moving Averages and RSI on the current timeframe. The LTS provides a longer-term perspective using HTF Bollinger Bands.
In summary: Look at the table to quickly gauge:
Short-term trend (Price vs MAs).
Short-term momentum (RSI Status, SIG NOW).
Recent short-term entry points (Last Sig Price).
Current volume anomalies (ALERT).
Long-term strength/weakness based on HTF Bollinger Bands (LTS, BB Value).
Combine these pieces of information to get a more rounded view of the current market conditions according to this specific script's logic.
Fractal CorridorsFractal Corridors - visual tool that maps market structure through a multi-scale lens, revealing the underlying architecture of price action across time. By processing pivot points at multiple depths, it constructs a layered geometric corridors that reflects the self-similar, scalable nature of financial markets. Each pivot scale connects successive highs and lows with lines, and when both sides are present, fills the space between them, forming polygonal bands that shift in shape and density as volatility and trend evolve.
Inputs
Base Depth: Number of bars for the smallest pivot
Factor: Multiplier between small, medium and large depths
Selectable color of components
The real value of this indicator lies not in generating executive signals, but in offering a structural perspective that blends short-term fluctuations with longer-term market cycles. The output allows to visually assess trends in terms of shapes, detect compression zones, and identify multi-timeframe confluence areas where price is likely to react. Whether used for macro trend confirmation or pattern evaluation, this indicator transforms raw price data into a clear, fractal-informed map of market behavior, helping the user navigate the complexity of emerging price through the language of geometry.
Gold ORB Strategy (15-min Range, 5-min Entry)The Gold ORB (Opening Range Breakout) Strategy is designed for day traders looking to capitalize on the price action in the early part of the trading day, specifically using a 15-minute range for identifying the opening range and a 5-minute timeframe for breakout entries. The strategy trades the Gold market (XAU/USD) during the New York session.
Opening Range: The strategy defines the Opening Range (ORB) between 9:30 AM EST and 9:45 AM EST using the highest and lowest points during this 15-minute window.
Breakout Entries: The strategy enters trades when the price breaks above the ORB high for a long position or below the ORB low for a short position. It waits for a 5-minute candle close outside the range before entering a trade.
Stop Loss and Take Profit: The stop loss is placed at 50% of the ORB range, and the take profit is set at twice the ORB range (1:2 risk-reward ratio).
Time Window: The strategy only executes trades before 12:00 PM EST, avoiding late-day market fluctuations and consolidations.
Mongoose Capital: FlowWave + Conviction Strip🟩 Indicator Name
Mongoose Capital: FlowWave + Conviction Strip
📜 Short Description
Smoothed Money Flow Oscillator with conviction scoring columns to assess flow strength.
🧠 Description (Long Form)
The Mongoose Capital: FlowWave + Conviction Strip is a refined visualization of money flow dynamics designed to identify shifts in volume pressure and trend strength.
This dual-panel indicator includes:
• FlowWave Line — A smoothed momentum curve built from normalized money flow data, filtered through dual EMAs. Green (positive) and purple (negative) segments help traders quickly assess bias shifts.
• Conviction Score Columns — A histogram below the zero line shows strength of flow deltas (momentum of volume pressure). Green/red bars appear when strength exceeds a critical threshold, while gray bars indicate low conviction.
• Background Zone Coloring — Optional dark red/green gradient to enhance visibility of positive/negative phases.
✅ Designed for traders who value clarity and minimal noise
✅ Pairs well with macro trend filters or breakout strategies
✅ Built and published by Mongoose Capital
🔧 Default Settings
Money Flow Length: 14
Signal Cooldown: 5 bars
Source: HLC3
EMA Wave Filter: 3
Strength Threshold: 20
🧪 Suggested Use
Confirm entries/exits in trend continuation setups
Identify divergences between price and money flow
Filter low-conviction trades using the histogram's gray zone
Spot early accumulation or distribution through wave crossovers
📢 Author
Published by: TheRealMongoose
Powered by: Mongoose Capital
Feel free to tag us in your setups.
Key Levels (4H and Daily)Key Levels (4H and Daily)
This indicator highlights important key price levels derived from the 4-hour (4H) and daily (D) timeframes, providing traders with critical support and resistance areas. The levels are calculated using the highest highs and lowest lows over a customizable lookback period, offering a dynamic view of significant price points that could influence market movement.
Key Features:
Key Levels for 4H and Daily Timeframes:
The indicator calculates and displays the highest high and lowest low over a user-defined period for both the 4-hour and daily timeframes. This helps traders identify key support and resistance levels that could dictate the market's behavior.
Customizable Lookback Period:
Traders can adjust the lookback period (in days) for both the 4-hour and daily timeframes to reflect different market conditions. This flexibility ensures the levels are tailored to your preferred trading style and market conditions.
Horizontal Lines:
The indicator plots horizontal lines at the high and low levels for both timeframes. These levels serve as dynamic support and resistance areas and help traders monitor price action near these critical points.
Real-Time Updates:
The lines adjust automatically with each new bar, providing up-to-date key levels based on the most recent price action and trading session.
Alert Conditions:
Alerts are built-in to notify traders when the price breaks above or below these key levels. Traders can set up notifications to stay informed when significant market moves occur.
How to Use:
Support and Resistance: Use the levels as potential support and resistance areas where price could reverse. Price often reacts at these levels, providing potential trading opportunities.
Breakouts: Pay attention to breakouts above the high or below the low of these levels. A break above the 4H or daily high could indicate bullish momentum, while a break below could signal bearish trends.
Trend Confirmation: Combine these levels with other technical analysis tools to confirm the overall market trend and enhance your trading strategy.
Perfect for:
Day Traders: Use the 4-hour levels for intraday trading setups, such as potential reversals or breakouts.
Swing Traders: The daily levels provide longer-term insights, helping to identify key zones where price might pause, reverse, or break out.
Market Context: Ideal for those who want to contextualize their trades within broader timeframes, helping to understand the market’s structure at multiple time scales.
This description conveys the utility and functionality of the indicator, focusing on how it helps traders identify and monitor key levels that influence market action.
PRO SMC Full Suite BY Mashrur“PRO SMC Full Suite BY Mashrur”
A Pine Script (v5) indicator for TradingView, focused on Smart Money Concepts (SMC). It overlays on price charts and provides visual tools for identifying key institutional trading behaviors.
🎯 Purpose
This script is designed to help traders analyze and trade using SMC principles by automatically detecting:
Order Blocks (OBs)
Fair Value Gaps (FVGs)
Breaks of Structure (BoS)
Liquidity Sweeps (Buy/Sell Side Liquidity Grabs)
Mitigation Entries
⚙️ Inputs / Settings
Show Fair Value Gaps: Toggle FVGs on/off
Higher Timeframe (HTF): Choose HTF for OB analysis
Use HTF OBs: Switch between current TF OBs and HTF OBs
Show Order Blocks: Toggle OBs on/off
Show OB Mitigation Entries: Toggle mitigation entry signals on/off
🧠 Core Logic Overview
🔹 1. Swing Points Detection
Identifies swing highs/lows using a 3-bar pattern (pivot-based structure).
🔹 2. Break of Structure (BoS)
A bullish BoS happens when price closes above the last swing high.
A bearish BoS occurs when price closes below the last swing low.
🔹 3. Order Block Detection
Upon BoS, the script marks the previous candle as the Order Block.
Uses either:
Current TF OBs (based on price action)
HTF OBs (based on candle body direction)
🔹 4. Mitigation Entry Logic
A mitigation occurs when price returns to the OB and reacts with confirmation:
Bullish: price dips into OB and closes above
Bearish: price wicks into OB and closes below
Plots entry markers for these mitigations.
🔹 5. Liquidity Sweeps
Detects equal highs/lows (liquidity zones)
Marks Buy SL when price dips below an equal low then closes above
Marks Sell SL when price breaks above an equal high then closes below
🔹 6. Fair Value Gaps (FVGs)
FVG Up: Gap between candle 3 and candle 1 (low > high )
FVG Down: Gap between candle 3 and candle 1 (high < low )
Plots highlighted boxes on these gaps
📊 Visual Elements
Boxes: For OB zones and FVGs
Shapes:
Labels: OB Buy/Sell entries
Triangles: Buy SL / Sell SL liquidity sweeps
Lines: Equal Highs and Lows
🔔 Alerts
Built-in alerts to notify when:
OB entries are confirmed
Liquidity sweeps happen
Helps in automation or active monitoring
✅ Ideal For
Traders using SMC, ICT concepts, Wyckoff, or institutional trading models
Anyone wanting to automate detection of structural elements on their chart
Planting & Harvesting SeasonsHello all,
as a commodity trader, I use a lot of seasonal patterns in my analysis. Some time ago, I came up with the idea to develop a simple script that visually overlays the typical planting and harvesting periods for key agricultural futures directly on the chart.
This script automatically detects the underlying commodity based on the symbol (e.g. ZC, ZW, ZS, CT) and displays color-coded zones for each seasonal window. These zones are based on historical crop calendars and help identify when planting or harvesting typically takes place. The goal is to better align technical setups with fundamental seasonal factors.
This is a basic version and meant as a visual aid — not a trading signal in itself.
Hope you enjoy it and any feedback is highly appreciated!
SAR Pullback By TradingConTotoName & Version
SAR Pullback UX Improved (Pine Script v5)
Core Logic
Calculates two EMAs (fast and slow) to identify overall trend direction.
Uses the Parabolic SAR to detect “flip” points (when SAR crosses price), marking micro-trend reversals.
Micro-Trend Extremes
Tracks the highest high after a bullish flip (SAR below price) and the lowest low after a bearish flip (SAR above price).
These extremes feed into the stop-loss approximation.
Approximate Stop-Loss (“SL aprox”)
If SAR is below price (bullish), SL ≔ (micro-trend high − current SAR).
If SAR is above price (bearish), SL ≔ (current SAR − micro-trend low).
Leverage Calculation
User-defined “UR in USD” input.
Computes leverage as UR ÷ SL, giving you an estimate of position sizing potential.
On-Chart Signals
BUY label at each bullish flip, with SL and leverage printed.
SELL label at each bearish flip, likewise showing SL and leverage.
Customizable UI
Inputs to toggle display of SL, leverage, or both.
Choose your UR value, panel background/text colors, and BUY/SELL label colors.
Panel position fixed at top-right by default, showing a 2×3 table:
Header row (“Metric” / “Value”)
“SL aprox” row
“Leverage” row
Visuals
Plots the slow EMA colored by trend.
Draws SAR as crosses.
Bar colors shade green/red according to bullish/bearish conditions.
Semi-transparent, styled panel for quick glance of key metrics.
This indicator combines trend filtering, automated stop-loss sizing, and leverage guidance into a single, fully-configurable Pine Script tool—giving you clear on-chart signals plus a neat metrics panel for streamlined decision-making.
