Range Filter + ATR Strategy (Low Drawdown)Key Features for Low Drawdown:
Range Filter: Identifies trends while filtering out market noise
ATR-based Position Sizing: Adjusts position size based on volatility to risk a fixed percentage of capital
Trailing Stops: Uses ATR-based trailing stops to lock in profits and limit losses
Conservative Risk Parameters: Defaults to 1% risk per trade (adjustable)
Trend Confirmation: Requires two consecutive closes above/below the range filter
How to Use:
The strategy enters long when price is above the upper range filter for two consecutive bars
Enters short when price is below the lower range filter for two consecutive bars
Uses ATR to size positions appropriately for current volatility
Implements trailing stops based on ATR to protect profits
Optimization Tips:
Adjust the Range Filter period based on your timeframe
Modify the risk percentage (1% is conservative)
Tweak the ATR multiple for trailing stops (1.5 is moderate)
Consider adding a time-based exit if drawdown is still too high
Bill Williams Göstergeleri
Median True Range {Darkoexe}Simple and sweet, this is the median true range. It reviews the size of the previous period amount of candles, and displays the candle size value that is the median of those previous values.
//Darkoexe
Chess Game🧠 Concept
This script is an experimental chess game simulation built entirely in Pine Script, rendered as an overlay on a trading chart. It does not support interactivity like mouse clicks or real-time move detection, but instead relies on manual inputs to simulate moves and visualize board state.
This was created purely for educational purposes—to test the creative boundaries of Pine Script and explore how far visual scripting can be pushed within the limits of a financial charting tool.
🎯 Goals
Render a full 8×8 chessboard with labeled rows (1–8) and columns (a–h)
Display all pieces using Unicode chess symbols
Allow users to simulate moves using manual input
Validate basic move legality
Display turn status, current move, and instructions
🔧 How It Works
Chessboard Rendering
Uses tabel.new() to display 64 tiles and corresponding pieces.
Light and dark squares alternate based on standard chessboard layout logic ((row + column) % 2).
Pieces
All pieces (white and black) are placed at their initial positions using Unicode characters:
♙ ♖ ♘ ♗ ♕ ♔ for White
♟︎ ♜ ♞ ♝ ♛ ♚ for Black
⚠️ Limitations
Pine Script is not a general-purpose programming language. This game is non-interactive and must be controlled using input.int() and input.bool() for every move.
No click or drag-and-drop functionality.No timers, clocks, or multiplayer.No automated check/checkmate detection (yet!).No visual indication of selected squares (though that could be added with color-coded highlights)
📌 Why I Built This
TradingView is made for charting markets, but I wanted to see how far I could stretch it. Chess is grid-based like many financial charts, so I challenged myself to bring chess logic into Pine Script just for fun and learning.
Williams Alligator with Step Digits and DotsIndicator Description: Angle and Divergence Bars Indicator
Overview:
The Angle and Divergence Bars Indicator is a powerful analytical tool designed for traders and investors using TradingView. This indicator focuses on identifying angular momentum shifts in price action and spotting potential divergences between price and volume or momentum indicators. By providing visual cues, it helps traders make informed decisions based on market trends and reversals.
Key Features:
1. Angle Measurement:
• The indicator calculates the angle of price movement over a specified period, allowing traders to assess the strength and direction of the trend. A steeper angle indicates a stronger momentum, while a flatter angle suggests weakening momentum.
• The angle is visually represented on the chart, enabling quick recognition of trend shifts.
2. Divergence Detection:
• The indicator identifies divergences between the price action and a selected momentum indicator (such as RSI, MACD, or Stochastic). Divergences occur when the price makes a new high or low, but the momentum indicator fails to confirm this movement.
• Bullish divergences signal potential reversal points where the price may bounce upward, while bearish divergences indicate potential downward reversals.
3. Visual Representation:
• The indicator uses color-coded bars to represent different conditions:
• Green Bars: Indicate strong bullish momentum with a steep upward angle.
• Red Bars: Indicate strong bearish momentum with a steep downward angle.
• Yellow Bars: Suggest neutral momentum or indecision in the market.
• Divergence signals are highlighted with markers or arrows on the chart, making them easily identifiable.
4. Customizable Settings:
• Traders can customize the period for angle calculation and the type of momentum indicator used for divergence detection. This flexibility allows users to tailor the indicator to their trading style and preferences.
• Additional settings include adjusting the sensitivity of divergence detection, which can help filter out false signals.
5. Alerts and Notifications:
• The indicator can be configured to send alerts when specific conditions are met, such as a new divergence signal or when the angle reaches a certain threshold. This feature ensures that traders do not miss critical market movements.
How to Use the Indicator:
1. Identifying Trends:
• Use the angle measurement to determine the current trend's strength. A consistent angle in one direction may suggest a strong trend, while fluctuating angles indicate potential reversals or consolidations.
2. Spotting Divergences:
• Look for instances where price action diverges from your chosen momentum indicator. Confirm these signals with additional analysis or other indicators to increase reliability.
3. Making Trading Decisions:
• Combine insights from the angle measurement with divergence signals to formulate entry and exit strategies. For example, entering a long position when a bullish divergence appears alongside a strong upward angle can enhance trade success probabilities.
4. Risk Management:
• Always incorporate risk management techniques, such as setting stop-loss orders based on recent price action or using trailing stops to lock in profits as trends develop.
Conclusion:
The Angle and Divergence Bars Indicator is an essential tool for traders looking to enhance their technical analysis capabilities. By focusing on angular momentum and divergence detection, it provides valuable insights into market dynamics, helping traders make more informed decisions in their trading strategies. Whether you are a novice or an experienced trader, integrating this indicator into your trading arsenal can significantly improve your ability to identify potential market reversals and capitalize on emerging trends.
RESHAIndicator Name: RESHA – Static Price Levels
Description:
The RESHA indicator is a simple tool that allows traders to manually define multiple horizontal price levels on the chart. These levels are displayed as horizontal lines, each extending a customizable number of candles forward. Traders can input a comma-separated list of prices, which are then plotted automatically on the chart.
Features:
📍 Custom input box for price levels (comma-separated).
📏 Adjustable line length in bars.
Visual price labels at the end of each level.
Clean and minimalistic design, perfect for support/resistance zones or static analysis.
This tool is ideal for traders who want to keep key price zones visible at all times without relying on dynamic calculations or automated indicators.
BW MFI fixed v6Bill Williams MFI
Sure! Here’s an English description of the indicator you have:
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### Bill Williams Market Facilitation Index (MFI) — Indicator Description
This indicator implements the **Market Facilitation Index (MFI)** as introduced by Bill Williams. The MFI measures the market's willingness to move the price by comparing the price range to the volume.
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### How it works:
* **MFI Calculation:**
The MFI is calculated as the difference between the current bar’s high and low prices divided by the volume of that bar:
$$
\text{MFI} = \frac{\text{High} - \text{Low}}{\text{Volume}}
$$
* **Color Coding Logic:**
The indicator compares the current MFI and volume values to their previous values and assigns colors to visualize market conditions according to Bill Williams’ methodology:
| Color | Condition | Market Interpretation |
| ----------- | ------------------ | --------------------------------------------------------------------------------------------- |
| **Green** | MFI ↑ and Volume ↑ | Strong trend continuation or acceleration (increased price movement supported by volume) |
| **Brown** | MFI ↓ and Volume ↓ | Trend weakening or possible pause (both price movement and volume are decreasing) |
| **Blue** | MFI ↑ and Volume ↓ | Possible false breakout or lack of conviction (price moves but volume decreases) |
| **Fuchsia** | MFI ↓ and Volume ↑ | Market indecision or battle between bulls and bears (volume rises but price movement shrinks) |
| **Gray** | None of the above | Neutral or unchanged market condition |
* **Display:**
The indicator plots the MFI values as colored columns on a separate pane below the price chart, providing a visual cue of the market’s behavior.
---
### Purpose:
This tool helps traders identify changes in market momentum and the strength behind price moves, providing insight into when trends might accelerate, weaken, or potentially reverse.
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If you want, I can help you write a more detailed user guide or trading strategy based on this indicator!
High/Low Digit SumNAMAN SHAH
Its about the high low total of a candle only for gold where if highs total is 9 then its a chance that it will not break the high for a long time and it will be a good opportunity for short
And vise versa
Gold Breakout Strategy - RR 4Strategy Name: Gold Breakout Strategy - RR 4
🧠 Main Objective
This strategy aims to capitalize on breakouts from the Donchian Channel on Gold (XAU/USD) by filtering trades with:
Volume confirmation,
A custom momentum indicator (LWTI - Linear Weighted Trend Index),
And a specific trading session (8 PM to 8 AM Quebec time — GMT-5).
It takes only one trade per day, either a buy or a sell, using a fixed stop-loss at the wick of the breakout candle and a 4:1 reward-to-risk (RR) ratio.
📊 Indicators Used
Donchian Channel
Length: 96
Detects breakouts of recent highs or lows.
Volume
Simple Moving Average (SMA) over 30 bars.
A breakout is only valid if the current volume is above the SMA.
LWTI (Linear Weighted Trend Index)
Measures momentum using price differences over 25 bars, smoothed over 5.
Used to confirm trend direction:
Buy when LWTI > its smoothed version (uptrend).
Sell when LWTI < its smoothed version (downtrend).
⏰ Time Filter
The strategy only allows entries between 8 PM and 8 AM (GMT-5 / Quebec time).
A timestamp-based filter ensures the system recognizes the correct trading session even across midnight.
📌 Entry Conditions
🟢 Buy (Long)
Price breaks above the previous Donchian Channel high.
The current channel high is higher than the previous one.
Volume is above its moving average.
LWTI confirms an uptrend.
The time is within the trading session (20:00 to 08:00).
No trade has been taken yet today.
🔴 Sell (Short)
Price breaks below the previous Donchian Channel low.
The current channel low is lower than the previous one.
Volume is above its moving average.
LWTI confirms a downtrend.
The time is within the trading session.
No trade has been taken yet today.
💸 Trade Management
Stop-Loss (SL):
For long entries: placed below the wick low of the breakout candle.
For short entries: placed above the wick high of the breakout candle.
Take-Profit (TP):
Set at a fixed 4:1 reward-to-risk ratio.
Calculated as 4x the distance between the entry price and stop-loss.
No trailing stop, no break-even, no scaling in/out.
🎨 Visuals
Green triangle appears below the candle on a buy signal.
Red triangle appears above the candle on a sell signal.
Donchian Channel lines are plotted on the chart.
The strategy is designed for the 5-minute timeframe.
🔄 One Trade Per Day Rule
Once a trade is taken (buy or sell), no more trades will be executed for the rest of the day. This prevents overtrading and limits exposure.
Metrics TJ
📘 Metrics TJ
Author: Trade Journey
Type: Market Metrics / Intraday
Timeframes:
Context: 1H
Entry Points: 15m
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🎯 Core Idea
Metrics TJ is a powerful market metrics tool designed for intraday traders. It provides essential market data — including volume, ATR (Average True Range), and correlation with other assets — to help you make informed decisions. By combining multiple indicators into a unified view, this tool allows you to spot key trends, volatility, and relative strength within a single chart.
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🔍 Strategy Logic
1. Context (1H)
Before making intraday decisions on smaller timeframes (such as the 15m chart), use the 1H timeframe to understand the broader market context:
Look at candle structure, levels, volume, and other signals to identify if the market is trending or consolidating.
Example: If the 1H chart shows rising volume and a series of higher highs and lows, it indicates an uptrend.
2. Core Metrics
Day Volume (DV): Total volume traded over the past 24 hours. A sharp increase may indicate increased market interest and potential for higher volatility.
Average Volume (AV): A smoothed average volume over a set period. Spikes in average volume can highlight unusual activity, signaling potential moves.
ATR (NATR): Measures the market's volatility. A high ATR means the market is moving more dynamically, often correlating with larger price moves.
Correlation (CR): Measures how strongly the asset is correlated with a reference pair, such as BTC. A strong positive or negative correlation could indicate an impending move or reversal.
3. Trade Filter
To improve the accuracy of the strategy:
Use Volume and ATR thresholds to filter out low-volatility or range-bound conditions.
Correlation with a reference asset helps identify when the market's behavior diverges from its usual pattern.
---
📈 Example of Entry Logic
1. On 1H: The market is in a confirmed uptrend, with rising volume and a series of higher highs.
2. On 15m: You observe an increase in Day Volume and Average Volume signaling potential for a breakout.
3. ATR is high, showing the market is volatile — indicating a good environment for intraday trading.
4. Correlation with BTC shows strong positive correlation, suggesting a price move in sync with the larger crypto market.
5. Trade Decision:
Enter long if the conditions are met: Volume spikes, ATR confirms volatility, and correlation supports the price direction.
Exit if volume decreases, ATR drops, or if the correlation weakens.
---
⚙️ Settings
(tradingview\.com/x/Y6PjccKy/)
---
📊 Why It Works
Day Volume and Average Volume help identify unusual activity, potentially signaling a price move.
ATR highlights periods of high volatility, which are crucial for intraday trading.
Correlation with major assets (like BTC) gives additional context on the market's broader movement, improving the probability of profitable trades.
Using a combination of volume and ATR reduces the likelihood of false signals, especially in choppy or low-volume environments.
---
🔔 Recommendations
Best used in strong trending markets where volume and volatility are in sync.
Avoid trading in range-bound conditions where price action lacks momentum.
Use this strategy as a supplement to other technical indicators or as part of a larger trading system.
---
✅ Conclusion
Metrics TJ provides a holistic view of the market, combining key metrics to help traders make smarter intraday decisions. By focusing on volume, volatility, and correlation, it can help you spot high-probability trades and avoid noise.
Try it on demo, adjust the settings to fit your trading style, and start identifying profitable opportunities!
---
📌 Important Note:
This indicator is best used in combination with higher timeframe analysis. Always consider the broader market context before making any trades.
Enhanced Volume w/ Pocket Pivots, Milestones & LiquiditySure! Here’s a professional and clear **description** you can use when saving or publishing the script on TradingView:
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## 📄 Script Description: *Enhanced Volume w/ Pocket Pivots, Milestones & Liquidity*
This custom volume indicator enhances the default volume view by combining key institutional-level insights into a single tool. It highlights meaningful volume activity, liquidity conditions, and milestone events to help traders better understand accumulation/distribution and smart money participation.
### 🔍 Features:
* **Color-coded volume bars**:
* 🔵 **Pocket Pivot Volume (PPV)**: Up-day with volume > highest down-day volume of last 10 bars.
* 🟢 **Up Volume**: Up-day with volume > 50-day average.
* 🔴 **Down Volume**: Down-day with volume > 50-day average.
* 🟠 **Dry Volume**: Low-volume bars < 20% of 50-day average.
* ⚫ **Neutral/Other bars**: No significant signal.
* **Volume Milestones**:
* **HVE**: Highest volume ever (20 years lookback).
* **HVY**: Highest volume in the past 1 year (252 bars).
* **HVQ**: Highest volume in the past quarter (63 bars).
* **Projected Volume**:
* Real-time estimate of end-of-day volume based on elapsed session time.
* **Liquidity Metrics**:
* Displays current and 50-day average dollar volume.
* Estimates 1-minute liquidity for large-position feasibility.
* **Relative Volume Label**:
* Displays how today’s volume compares to the 50-day average.
* **Alerts Included**:
* Set alerts for HVE, HVY, and HVQ to catch key breakout or climactic volume events.
---
### 🧠 Ideal For:
* Growth stock traders
* Volume/price analysts
* Intraday & swing traders
* Institutions or prop traders needing liquidity benchmarks
---
Let me know if you'd like a short or promotional version (for sharing with others).
Wick SweepThe Wick Sweep indicator identifies potential trend reversal zones based on price action patterns and swing points. Specifically, it looks for "Wick Sweeps," a concept where the market temporarily breaks a swing low or high (creating a "wick"), only to reverse in the opposite direction. This pattern is often indicative of a market attempting to trap traders before making a larger move. The indicator marks these zones using dashed lines, helping traders spot key areas of potential price action.
Key Features:
* Swing Low and High Detection: The indicator identifies significant swing lows and highs within a user-defined period by employing Williams fractals.
* Wick Sweep Detection: Once a swing low or high is identified, the indicator looks for price movements that break through the low or high (creating a wick) and then reverses direction.
* Fractal Plotting: Optionally, the indicator plots fractal points (triangle shapes) on the chart when a swing low or high is detected. This can assist in visually identifying the potential wick sweep areas.
* Line Plotting: When a wick sweep is detected, a dashed line is drawn at the price level of the failed low or high, visually marking the potential reversal zone.
Inputs:
* Periods: The number of bars used to identify swing highs and lows. A higher value results in fewer, more significant swing points.
* Line Color: The color of the dashed lines drawn when a wick sweep is detected. Customize this to match your chart's theme or preferences.
* Show Fractals: A toggle that, when enabled, plots triangle shapes above and below bars indicating swing highs (up triangles) and swing lows (down triangles).
Functionality:
* Swing High and Low Calculation:
- The indicator calculates the swing low and swing high based on the periods input. A swing low is identified when the current low is the lowest within a range of (2 * periods + 1), with the lowest point being at the center of the period.
- Similarly, a swing high is identified when the current high is the highest within the same range.
* Wick Sweep Detection:
- Once a swing low or high is detected, the script looks for a potential wick. This happens when the price breaks the swing low or high and then reverses in the opposite direction.
- For a valid wick sweep, the price should briefly move beyond the identified swing point but then close in the opposite direction (i.e., a bullish reversal for a swing low and a bearish reversal for a swing high).
- A line is drawn at the price level of the failed low or high when a wick sweep is confirmed.
Confirmations for Reversal:
* The confirmation for a wick sweep requires that the price not only break the swing low/high but also close in the opposite direction (i.e., close above the low for a bullish reversal or close below the high for a bearish reversal).
* The confirmation is further refined by checking that the price movement is within a reasonable distance from the original swing point, which prevents the indicator from marking distant, unimportant price levels.
Additional Notes:
* The Wick Sweep indicator does not provide standalone trading signals; it is best used in conjunction with other technical analysis tools, such as trend analysis, oscillators, or volume indicators.
* The periods input can be adjusted based on the trader’s preferred level of sensitivity. A lower period value will result in more frequent swing points and potentially more signals, while a higher value will focus on more significant market swings.
* The indicator may work well in ranging markets where price tends to oscillate between key support and resistance levels.
RSI Phan Ky FullThe RSI divergence indicator is like a magnifying glass that spots gaps between price swings and momentum. When price keeps climbing but RSI quietly sags, it’s a flashing U‑turn sign: the bulls are winded, and the bears are lacing up their boots. Flip it around—price is sliding yet RSI edges higher—and you’ve got bulls secretly stockpiling. Hidden divergences shore up the trend; regular divergences hint at a pivot. Blend those signals with overbought/oversold zones, support‑resistance, and volume, and RSI divergence turns into a radar that helps traders jump in with swagger and bail out just in time.
Delta AO + Regular AO (Normalized)🔀 Delta AO + Regular AO (Normalized) – Visualizing Market moods becomes simpler 🔀
🧠 Introduction
The Delta AO + Regular AO (Normalized) is a custom oscillator that fuses the power of classic momentum analysis with volume-derived delta flow to give traders a dual-perspective edge.
This tool was born from a need to better visualize internal market thrust (via delta) while still respecting the time-tested signal power of the traditional Awesome Oscillator (AO).
🔍 What makes it unique?
✅ Volume-based Delta Calculation – Models upward/downward delta using a custom volatility-weighted volume allocation method, not simple tick-delta or raw buys/sells.
✅ Cumulative Delta Candles – Instead of just plotting bars, the indicator rebuilds the market structure using cumulative delta logic.
✅ Dual AO Display – Shows both custom delta AO and traditional price AO simultaneously.
✅ Normalized Scaling – Each AO is independently normalized by its standard deviation (volatility-adjusted), making both indicators visually comparable without distortion.
🧮 Under the Hood
Let’s break down the components:
1. Delta Logic 📊
Rather than using raw delta or tick-level data, this script simulates net effort:
Delta Up = Volume × a smart weighting when the candle is bullish
Delta Down = Volume × weighting when the candle is bearish
The weighting dynamically adjusts based on candle body-to-wick ratio. This provides a more refined delta estimate based on candle structure.
This delta is accumulated (cumulative delta) and used to form a synthetic OHLC candle structure.
2. AO Calculations ⚖️
Custom AO: Calculated from the median of synthetic delta candles
Regular AO: Classic (median price 5-period SMA - 34-period SMA)
Both are normalized using their own 34-bar standard deviation, improving comparability and visualization in one pane.
3. Color Coding 🎨
For the delta AO histogram:
Lime: Bullish + Increasing Momentum
Green: Bullish + Weakening Momentum
Red: Bearish + Increasing Momentum (to the downside)
Maroon: Bearish + Weakening Momentum
This lets you immediately spot momentum shifts and strength behind volume-based moves.
📈 How to Use – Trading Guide
🔧 Recommended Setup:
Timeframe: Works well on all intraday and higher timeframes (5m–1D)
Symbol: Especially effective on liquid instruments (futures, indices, large caps)
✅ Entry Signals
🔹 Buy Setup
Delta AO turns green or lime above zero, and Regular AO is also rising
Ideal confirmation: Lime bar (strong bullish delta momentum) and a crossover above zero
🔹 Sell Setup
Delta AO turns maroon or red below zero, and Regular AO is also falling
Ideal confirmation: Red bar (strong bearish delta momentum) and AO falling further below zero
🔄 Momentum Confirmation
Look for divergence between the Delta AO and Regular AO.
🔼 If Delta AO is rising but Regular AO is flat or falling → Volume is leading price (possible breakout ahead)
🔽 If Regular AO is strong but Delta AO fades → Price may be unsustainable (fakeout risk)
🛑 Exit / Reversal Clues
Sudden color shifts (e.g., Lime → Green → Maroon) can signal momentum exhaustion
Both AOs converging to zero suggests consolidation phase ahead
📌 Pro Tips
Use this with volume profile, support/resistance, or market structure zones for maximum confluence
Works great as a secondary confirmation tool for your existing strategy
💬 Final Thoughts
This oscillator is not just a pretty double AO — it's a strategic fusion of price and volume time-series designed to help you anticipate shifts before they’re obvious in price alone.
If you're looking for:
A modernized AO
Volume-integrated signal clarity
Normalized, noise-filtered momentum visual
Then this tool belongs in your chart arsenal.
📈 Try it. Test it. Pair it. If you find value, consider sharing or following for more next-gen indicators.
Please note this is an educational idea and past performance is not assurance of future performance.
Happy trading!
— @Pratik_4Clover
Current Fractal High/Low (Dynamic)
This indicator dynamically tracks the most recent confirmed Fractal High and Fractal Low across any timeframe using custom left/right bar configurations.
🔍 Key Features:
Detects Fractal Highs and Lows based on user-defined pivot settings.
Draws a green line and label ("FH") at the most recent Fractal High.
Draws a red line and label ("FL") at the most recent Fractal Low.
All lines extend from the confirmation bar to the current candle.
Automatically removes old lines and labels for a clean, uncluttered chart.
🛠️ Customizable Inputs:
Left & Right bars for pivot sensitivity
Line width for visibility
📌 Use Cases:
Identifying structure shifts
Recognizing key swing points
Supporting liquidity and breakout strategies
💡 Fractals are confirmed only after the full formation of the pattern (left and right bars). This ensures reliability over reactivity.
This script is designed for intraday to swing traders who want a reliable way to visualize market turning points with minimal noise.
RSI Run‑Length by ATTARSI Run‑Length by ATTA – The Next Generation of RSI
The RSI Run‑Length by ATTA indicator was developed to quantify not only the magnitude of price movements but also the continuity with which they occur. Instead of relying on point‑by‑point averages of gains and losses, it counts each sequence of consecutive gains (up‑run) and each sequence of consecutive losses (down‑run), applies Wilder’s RMA smoothing to these counts, and then computes the classic RSI formula on their ratio.
This approach significantly reduces market noise by giving greater weight to sustained trends, while simultaneously reducing the lag inherent in traditional methods. Rather than waiting for signals triggered by isolated fluctuations, RSI Run‑Length by ATTA detects turning points at the earliest stages of movement streaks and maintains precise, timely responsiveness.
Core Principles:
Run‑Length Counting: Measures trend depth without distortion from isolated spikes.
Wilder’s RMA on Counts: Provides statistical smoothing to suppress excessive volatility.
Classic RSI Formula: Applies the familiar RSI calculation to the smoothed run‑length ratio.
This mechanism enables early identification of momentum shifts and the construction of strategies based on stable sequences rather than sporadic gains. The simplicity of a single parameter (run‑length period – default 14) and the logical sequence of counting, smoothing, and ratio calculation make the tool both transparent and intuitive for technical traders and quantitative analysts alike.
Usage Instructions:
Select the run‑length period (commonly 14 bars).
Set overbought/oversold thresholds (recommended 70/30).
Overlay with complementary indicators (classic RSI, MACD, etc.) for confirmation.
I invite traders and analysts to incorporate RSI Run‑Length by ATTA into their indicator libraries to gain deeper, more actionable insights into price momentum.
Absorption Lines Basic Indicator:
Green support lines and red resistance lines will appear on your chart
Numbers 1-7 will show up as triangles above and below bars
Green triangles below bars are sell signals
Red triangles above bars are buy signals
For Scanning:
In TradingView's Stock Screener, add a custom filter using this indicator
Look for "New Level", "Signal Number", or "Bar Close At Level" conditions
For specific signals, use "Buy Signal X" or "Sell Signal X" (where X is 1-7)
For Alerts:
Set up alerts using the three alert conditions in TradingView
You'll be notified when new lines are printed, when bars close at levels, or when signals appear
Williams R Zone Scalper v1.0[BullByte]Originality & Usefulness
Unlike standard Williams R cross-over scripts, this strategy layers five dynamic filters—moving-average trend, Supertrend, Choppiness Index, Bollinger Band Width, and volume validation —and presents a real-time dashboard with equity, PnL, filter status, and key indicator values. No other public Pine script combines these elements with toggleable filters and a custom dashboard. In backtests (BTC/USD (Binance), 5 min, 24 Mar 2025 → 28 Apr 2025), adding these filters turned a –2.09 % standalone Williams R into a +5.05 % net winner while cutting maximum drawdown in half.
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What This Script Does
- Monitors Williams R (length 14) for overbought/oversold reversals.
- Applies up to five dynamic filters to confirm trend strength and volatility direction:
- Moving average (SMA/EMA/WMA/HMA)
- Supertrend line
- Choppiness Index (CI)
- Bollinger Band Width (BBW)
- Volume vs. its 50-period MA
- Plots blue arrows for Long entries (R crosses above –80 + all filters green) and red arrows for Short entries (R crosses below –20 + all filters green).
- Optionally sets dynamic ATR-based stop-loss (1.5×ATR) and take-profit (2×ATR).
- Shows a dashboard box with current position, equity, PnL, filter status, and real-time Williams R / MA/volume values.
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Backtest Summary (BTC/USD(Binance), 5 min, 24 Mar 2025 → 28 Apr 2025)
• Total P&L : +50.70 USD (+5.05 %)
• Max Drawdown : 31.93 USD (3.11 %)
• Total Trades : 198
• Win Rate : 55.05 % (109/89)
• Profit Factor : 1.288
• Commission : 0.01 % per trade
• Slippage : 0 ticks
Even in choppy March–April, this multi-filter approach nets +5 % with a robust risk profile, compared to –2.09 % and higher drawdown for Williams R alone.
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Williams R Alone vs. Multi-Filter Version
• Total P&L :
– Williams R alone → –20.83 USD (–2.09 %)
– Multi-Filter → +50.70 USD (+5.05 %)
• Max Drawdown :
– Williams R alone → 62.13 USD (6.00 %)
– Multi-Filter → 31.93 USD (3.11 %)
• Total Trades : 543 vs. 198
• Win Rate : 60.22 % vs. 55.05 %
• Profit Factor : 0.943 vs. 1.288
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Inputs & What They Control
- wrLen (14): Williams R look-back
- maType (EMA): Trend filter type (SMA, EMA, WMA, HMA)
- maLen (20): Moving-average period
- useChop (true): Toggle Choppiness Index filter
- ciLen (12): CI look-back length
- chopThr (38.2): CI threshold (below = trending)
- useVol (true): Toggle volume-above-average filter
- volMaLen (50): Volume MA period
- useBBW (false): Toggle Bollinger Band Width filter
- bbwMaLen (50): BBW MA period
- useST (false): Toggle Supertrend filter
- stAtrLen (10): Supertrend ATR length
- stFactor (3.0): Supertrend multiplier
- useSL (false): Toggle ATR-based SL/TP
- atrLen (14): ATR period for SL/TP
- slMult (1.5): SL = slMult × ATR
- tpMult (2.0): TP = tpMult × ATR
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How to Read the Chart
- Blue arrow (Long): Williams R crosses above –80 + all enabled filters green
- Red arrow (Short) : Williams R crosses below –20 + all filters green
- Dashboard box:
- Top : position and equity
- Next : cumulative PnL in USD & %
- Middle : green/white dots for each filter (green=passing, white=disabled)
- Bottom : Williams R, MA, and volume current values
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Usage Tips
- Add the script : Indicators → My Scripts → Williams R Zone Scalper v1.0 → Add to BTC/USD chart on 5 min.
- Defaults : Optimized for BTC/USD.
- Forex majors : Raise `chopThr` to ~42.
- Stocks/high-beta : Enable `useBBW`.
- Enable SL/TP : Toggle `useSL`; stop-loss = 1.5×ATR, take-profit = 2×ATR apply automatically.
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Common Questions
- * Why not trade every Williams R reversal?*
Raw Williams R whipsaws in sideways markets. Choppiness and volume filters reduce false entries.
- *Can I use on 1 min or 15 min?*
Yes—adjust ATR length or thresholds accordingly. Defaults target 5 min scalping.
- *What if all filters are on?*
Fewer arrows, higher-quality signals. Expect ~10 % boost in average win size.
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Disclaimer & License
Trading carries risk of loss. Use this script “as is” under the Mozilla Public License 2.0 (mozilla.org). Always backtest, paper-trade, and adjust risk settings to your own profile.
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Credits & References
- Pine Script v6, using TradingView’s built-in `ta.supertrend()`.
- TradingView House Rules: www.tradingview.com
Goodluck!
BullByte
Overnight ES Strategy: CBC + Fractal + RSI + ATR FilterThis script is designed for overnight trading of the E-mini S&P 500 futures (ES) between 6 PM and 11 PM EST.
It combines multiple technical confluences to generate high-probability buy and sell signals, focusing on volatility-rich, low-liquidity evening sessions.
Key Features:
Candle Body Confluence (CBC) Approximation:
Identifies candles with small real bodies compared to total range, simulating consolidation zones where price is likely to reverse.
Williams Fractal Confirmation:
Detects local tops and bottoms based on 5-bar fractal reversal patterns, helping validate breakout or reversal points.
RSI Filter:
Ensures momentum is supportive — buys only when RSI < 35 (oversold) and sells only when RSI > 65 (overbought).
ATR Volatility Filter:
Trades are only allowed if the Average True Range (ATR) exceeds a user-defined threshold, filtering out low-volatility, risky environments.
Time Session Control:
Signals are only generated during the user-defined evening session (default: 6 PM to 11 PM EST) to match market behavior.
Real-Time Alerts Enabled:
Alerts can be set for BUY or SELL conditions, enabling mobile notifications, emails, or pop-ups without constant chart monitoring.
Recommended Settings:
Chart Timeframe: 15-minute or 30-minute candles
Assets: ES Mini (ES1!), NQ Mini, or other CME futures
Session: New York Time (EST)
ATR Threshold: Adjust based on market conditions; 5.0 suggested starting point for ES Mini on 15m.
Important:
This script only plots signals, it does not auto-execute trades.
Always backtest and paper trade before using live capital.
Volatility can vary; consider adjusting RSI and ATR filters based on market environment.
Credits:
Script designed based on confluence of price action, momentum, reversal structure, and volatility filtering principles used by professional traders.
Inspired by Candle Body Confluence (CBC) theory and Williams fractal techniques.
Williams Fractals Dynamic Horizontal LinesWilliams Fractals with Dynamic Horizontal Lines
Overview
This script identifies Williams Fractals (support and resistance points) on any chart and automatically draws horizontal lines at those fractal levels.
The lines extend right and disappear when price breaks them — giving a clean and real-time view of key support and resistance levels.
Features
Detects upward fractals (potential resistances).
Detects downward fractals (potential supports).
Draws horizontal lines at each fractal point.
Automatically deletes a line when:
Price closes above a resistance.
Price closes below a support.
Clean and lightweight — minimal performance impact.
Inputs
Setting Description Default
Periods (n) Number of candles on each side required to confirm a fractal (minimum 2). 2
How It Works
Fractal Detection:
An up fractal is confirmed when a candle has the highest high compared to its neighbors.
A down fractal is confirmed when a candle has the lowest low compared to its neighbors.
Custom logic supports different "ties" — not just strict greater-than or less-than comparisons.
Drawing Lines:
When an up fractal is detected → a red horizontal resistance line is drawn.
When a down fractal is detected → a green horizontal support line is drawn.
Lines are drawn starting at the fractal candle and extend right across the chart.
Dynamic Line Deletion:
Every new candle is checked:
If high > resistance line → delete that resistance line.
If low < support line → delete that support line.
Only unbroken lines are kept on the chart, providing live, updated support/resistance zones.
Visual Elements
Up Fractal: 🡅 Triangular marker (teal color) above the fractal candle.
Down Fractal: 🡇 Triangular marker (red color) below the fractal candle.
Resistance Line: Red horizontal line.
Support Line: Green horizontal line.
Technical Details
Version: Pine Script v6
Arrays Used:
To store and manage active lines (line arrays).
To track the price associated with each line (float arrays).
Error Handling:
Backward iteration is handled using a while loop instead of a for loop to comply with Pine Script restrictions.
Offset Handling:
Fractal markers are plotted with an offset of -n bars for visual alignment.
Possible Enhancements (Future Ideas)
Sensitivity Settings: Allow a small margin (buffer) to define breakouts.
Extend Options: Let users choose between extending "infinite" or "limited" bars.
Custom Alerts: Generate alerts when fractal levels are broken.
Multi-timeframe Support: Detect fractals from higher timeframes on lower timeframe charts.
Example Usage
Swing Trading:
Use the fractal lines to identify and react to key breakouts or breakdowns dynamically.
Intraday Trading:
Spot live support/resistance on smaller timeframes for quick trades.
Trend Reversal Spotting:
Notice when a major fractal level is broken, possibly indicating trend changes.
Example Visual — Williams Fractals Dynamic Lines
Price Chart View:
What This Diagram Shows:
▲ Up Fractals:
Form resistance lines.
Line extends until price breaks above it.
▼ Down Fractals:
Form support lines.
Line extends until price breaks below it.
Lines are removed from the chart as soon as broken.
📈 Real Chart Example
Here's a rough idea how it will look live on your TradingView chart:
Feature Visual
Up Fractal 🔺 Green triangle above bar
Resistance Line ➖ Horizontal red line across the chart
Down Fractal 🔻 Red triangle below bar
Support Line ➖ Horizontal green line across the chart
Line Break 🚫 Line disappears when price crosses
GCM Supreme Trading System Pro (With Golden Zone)Okay, bro! Here are some notes on your "GCM Supreme Trading System Pro (Dashboard + RSI)" indicator based on the Pine Script code you provided. Think of this as a breakdown of its components, logic, and how you might use it, along with some things to consider.
GCM Supreme Trading System Pro (Dashboard + RSI) - Notes
Overall Concept:
This indicator aims to provide an "all-in-one" visual dashboard and signal system by combining several technical analysis concepts:
Short-Term Trend: Using a fast EMA.
Volatility/Channel: High/Low plot with fill.
Sentiment: Background color based on price vs. EMA.
Price Structure/Pattern: Highlighting potential AMD phases.
Key Price Level: Previous day's specific Fibonacci zone (Golden Zone).
Momentum: RSI Overbought/Oversold status.
Volume Analysis: Identifying volume spikes.
Risk Assessment: Based on ATR volatility.
Signal Generation: Based on EMA direction change confirmed by candle color.
Centralized Summary: A dashboard showing the status of key components.
Key Components & How They Work:
Trend EMA (Length: 3 by default):
What: A very fast Exponential Moving Average of the specified source (close by default).
How: Plots the EMA line. Colors the line green if the EMA is moving up, red if moving down, gray if flat.
Usage: Provides a very quick view of the immediate price direction and momentum.
High/Low Channel Lines & Fill:
What: Plots the current bar's high and low.
How: The area between the high and low is filled. The fill color changes based on whether the Trend EMA is moving up (green fill), down (red fill), or is neutral (gray fill).
Usage: Visualizes the recent price range/volatility and ties it to the immediate trend direction.
Sentiment Background:
What: Colors the chart background.
How: Background is lightly colored green if the close is above the Trend EMA, and red if the close is below the Trend EMA.
Usage: Reinforces the current short-term bias based on price's position relative to the fast EMA.
AMD Pattern Candles:
What: Highlights specific candle patterns often associated with Accumulation, Manipulation, and Distribution phases.
How:
Accumulation (Aqua): Previous candle was Red, current candle is Green (Red -> Green).
Manipulation (Yellow): Previous candle was Green, current candle is Red (Green -> Red).
Distribution (Fuchsia): Two consecutive Red candles where the candle before the first Red was Not Red (Not Red -> Red -> Red).
Usage: Helps visually spot potential shifts in market behavior according to the AMD concept.
Previous Day's Fib Golden Zone (0.55-0.66):
What: Calculates a specific Fibonacci zone (between 55% and 66%) based on the previous day's range (High-Low).
How: Plots a horizontal box on the chart covering the calculated zone level. Uses the previous day's range direction (Green/Red candle) to determine if the zone is calculated up from the low (Green day) or down from the high (Red day).
Usage: Identifies a potential key retracement or support/resistance zone from the previous day's price action that may be relevant for the current day.
RSI (Relative Strength Index):
What: A classic momentum oscillator.
How: Calculates the RSI value based on the specified length and source. The dashboard shows the current value and flags it as Overbought (> OB level), Oversold (< OS level), or Neutral.
Usage: Provides context on momentum extremes. High RSI suggests strong upward momentum (potentially overextended), low RSI suggests strong downward momentum (potentially oversold).
Volume Spike Confirmation:
What: Compares current volume to its Moving Average.
How: Calculates a simple moving average of volume. Identifies a "Spike" if the current volume is significantly higher (multiplied by a factor) than the MA.
Usage: Provides a contextual check for increased activity accompanying price moves. (Note: In the current script, this is calculated and shown on the dashboard but not directly used in the signal label logic, though it could be added).
Risk Assessment (ATR):
What: Uses the Average True Range.
How: Calculates the ATR for the specified length. Compares the current ATR to a longer-term average ATR. Flags "High Risk" if the current ATR is significantly higher than the average.
Usage: Gives an indication of current volatility relative to recent history, which can inform stop-loss placement or position sizing.
Signals (Buy/Sell Labels):
What: Plots "BUY" or "SELL" labels on the chart.
How:
BUY Signal: Triggers when the Trend EMA starts moving Up on the previous bar AND the current bar is Green (close > open).
SELL Signal: Triggers when the Trend EMA starts moving Down on the previous bar AND the current bar is Red (close < open).
Usage: These are your potential entry triggers. They indicate that the fast EMA trend has just changed direction and the current candle is confirming that move with its color.
Dashboard:
What: A 2x5 table displayed on the chart (bottom right by default).
How: Shows the current status of:
Trend (Bull/Bear/Neutral)
Volume (Spike/Normal)
Last Signal (🟢 BUY, 🔴 SELL, or None)
Risk (High/Normal based on ATR)
RSI (Overbought/Oversold/Neutral + Current Value)
Usage: Provides a quick, centralized summary of multiple indicator components without having to visually check every detail on the chart or separate panes.
How to Potentially Use It (Example Interpretation):
Look for a BUY signal (Green label) when:
The dashboard shows "🟢 BUY" as the Last Signal.
Consider additional confirmation: Is Volume status "Spike"? Is Risk "Normal"? Is RSI not "Overbought" (or perhaps just coming out of "Oversold" territory)? Is the price above/interacting positively with the Golden Zone?
Look for a SELL signal (Red label) when:
The dashboard shows "🔴 SELL" as the Last Signal.
Consider additional confirmation: Is Volume status "Spike"? Is Risk "Normal"? Is RSI not "Oversold" (or perhaps just coming out of "Overbought" territory)? Is the price below/interacting negatively with the Golden Zone?
Use the Sentiment Background and High/Low Channel Fill to quickly see the immediate trend and volatility context.
Watch AMD candles around key levels (like the Golden Zone or signal triggers) for potential pattern confirmation.
Check the Dashboard frequently for a summary of all these factors, even without a specific signal.
Strengths & Potential Benefits:
Comprehensive View: Integrates multiple popular trading concepts into a single indicator.
Visual Clarity: Uses colors, fills, labels, and a dashboard for easy interpretation.
Customizable: Inputs allow tuning the sensitivity of the EMA, Volume, ATR, and RSI to different assets/timeframes.
Dashboard Efficiency: Saves time by consolidating key status points.
Non-Repainting Signals: The buy/sell labels trigger and stay based on closed bar data.
Important Considerations & Limitations:
Fast EMA Sensitivity: An EMA length of 3 is very fast and prone to whipsaws, especially in choppy or ranging markets. Signals based solely on this could be frequent and unreliable in non-trending conditions.
Signal Logic: The core signal is only based on EMA direction change + candle color. While simple, it might miss opportunities or generate signals without broader market confirmation (like strong volume, favorable RSI position, or reaction at key levels). The dashboard provides these other factors as context, but they aren't required for the signal label in the current code.
Golden Zone Reliance: The previous day's Fib zone is just one potential level. It won't always be respected, and its relevance might vary significantly across different markets and timeframes.
AMD Patterns: The defined AMD patterns are specific. The market's "real" accumulation/manipulation/distribution might manifest in more complex ways.
Dashboard as Summary, Not Signal: Remember the dashboard shows the current status of all components on the last bar, but the BUY/SELL signal labels are based on a specific historical event (previous bar's EMA turn). You need to look at both: the label for the trigger, and the dashboard for the confluence of other factors right now.
Not a Standalone System: While called a "Trading System," no single indicator guarantees profitability. This tool provides signals and context, but requires a robust trading plan including stop losses, profit targets, position sizing, and potentially confluence with other analysis methods.
Timeframe Dependency: The ideal settings (EMA length, RSI length, etc.) will likely differ significantly between timeframes (e.g., 1-minute vs. 4-hour). Testing and optimization are crucial.
In Summary:
The "GCM Supreme Trading System Pro (Dashboard + RSI)" is a well-designed indicator that consolidates several useful analysis tools into a single view. Its strength lies in providing quick visual context and a clear signal trigger based on short-term trend shifts. However, like any indicator, it's not perfect. Its effectiveness will largely depend on the market conditions, the chosen settings, and how it's integrated into a comprehensive trading strategy, using the dashboard components as essential confirmation and risk assessment tools alongside the primary signal labels.
Scalp Strategy by Trade Journey📘 Trading Strategy: "Delta Flow Scalper"
Author: @Trad_journey
Type: Scalping / Intraday
Timeframes:
- Context: 1H
- Entry Points: 15m
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🎯 Core Idea
We use a powerful tool — the Delta-RSI Oscillator (D-RSI), which calculates the derivative of RSI using polynomial regression. This oscillator doesn't just show the strength of price movement but reveals how that strength changes over time.
By combining this with order flow analysis on the 1H timeframe, we can spot reversals and momentum bursts within a prevailing trend, where the D-RSI is most accurate.
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🔍 Strategy Logic
1. Context (1H)
Before entering a trade on the 15m chart, we determine:
- The trend on 1H using candle structure, levels, EMAs, volume, VSA, and other methods.
- Example: If 1H shows a series of higher highs/lows and rising volume — it indicates an uptrend.
2. Entry Signals (15m)
Entry is based on the D-RSI, configured with manually optimized settings:
- RSI Length: 14
- Polynomial Order: 2
- Window Length: 14
- Signal EMA: 7
- RMSE Filtering: Enabled, e.g., with a 10% threshold
Entry Conditions (any of the following):
- Zero-Crossing: Oscillator crosses above zero (long) or below zero (short)
- Signal Line Cross: D-RSI crosses the signal EMA
- Direction Change: Oscillator was below zero and starts rising (long), or vice versa
3. Trade Filter
To improve accuracy:
- Polynomial Approximation Error Filter (RMSE) is used — this eliminates noisy signals.
- Ideally, confirm entries with a candlestick pattern or key level as well.
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📈 Example of Entry Logic
1. On 1H: Clear uptrend, candles with long lower wicks, volume increasing
2. On 15m: D-RSI was below zero, sharply started rising and crossed the signal line from below
3. RMSE < 10% → signal confirmed
4. Enter long, place stop below local low + spread
5. Exit:
- On opposite D-RSI signal
- Or at a take profit (e.g., 1.5R or a key level)
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⚙️ Settings
()
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📊 Why It Works
- D-RSI captures momentum shifts and trend acceleration — these often occur before price changes.
- RMSE filtering removes false signals during chop or weak movement.
- Using a higher timeframe gives directional context — entries are made in the trend's direction, drastically increasing win probability.
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🔔 Recommendations
- Don’t use without higher timeframe context — countertrend signals can be unprofitable.
- Best entries are after small pullbacks within a trend.
- You can add an ATR/volatility filter — to avoid signals in tight ranges.
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✅ Conclusion
Delta Flow Scalper is a plug-and-play strategy for traders looking for precise intraday entries within larger moves. It's great for those wanting to reduce noise and trade smartly with momentum.
Try it on demo, tweak it to fit your style — and go for it!
FVG TheoryThe indicator is intended to facilitate trading with FVGs. It consists of 3 components:
1. Swings:
A swing is a 3-candle formation based on the Williams Fractal Indicator.
The interaction with the last swing is always displayed as a red line. This allows you to recognize the last interaction directly and draw conclusions about the further course of the price (sweep / break).
In addition, the closest fractal is always shown as a green line, which acts as a potential target.
2. FVGs:
FVGs are also known as Inbalance, it is a 3 candle formation where a gap is created in the market. The market often runs into this and reacts.
If the market reacts from an imbalance before it has reached the swing low in the bullish case, the next FVG appears in a different color.
This formation has more power and is therefore color-coded.
If the FVG is particularly strong, measured by the fact that the 3rd candle in the formation breaks the 2nd candle with a candle body, this is marked with a small arrow in the FVG (break away gap).
3. overlapping
If there is a structure point within an FVG (order block, significant swing), a line is drawn there.
These overlaps have a higher confluence than FVGs alone. The wick is preferred, but if there is no overlap, the body of the structure is used.
The line thickness and colors are individually adjustable.
Key Financial index**Basic Indicators** (updates may be delayed by a few weeks after dividend distribution):
1. **P/E Ratio**: *Price-to-Earnings*. This ratio shows the price investors are willing to pay for each unit of profit the company generates.
- A P/E below 8 is considered good, meaning the company yields a 12.5% annual profit, which implies a payback period of 8 years.
2. **P/B Ratio**: *Price-to-Book Ratio*. This is used to compare a company's market value with its book value.
- A low P/B (usually below 1): May indicate that the stock is undervalued compared to the company’s net asset value. This can be a good investment opportunity but may also signal financial trouble.
- A high P/B (usually above 3): May suggest the stock is overvalued relative to the company’s net assets. This could reflect high growth expectations or potential overvaluation.
3. **D/E Ratio**: *Debt-to-Equity Ratio* is a financial metric that measures a company’s financial leverage.
D/E Ratio = Total Liabilities / Shareholders' Equity.
It compares the total liabilities of a company to its equity to indicate how much debt is used to finance its assets compared to shareholder investments.
- D/E Ratio below 1: Generally considered safe.
- D/E Ratio between 1 and 2: May be acceptable depending on the industry.
- D/E Ratio above 2: May indicate high financial risk.
4. **CR Ratio**: *Current Ratio*, an important liquidity metric used to assess a company’s ability to pay off short-term liabilities using its short-term assets.
- CR Ratio > 1: Indicates the company has enough current assets to pay off its short-term debts. The higher the ratio, the better the liquidity position.
- CR Ratio < 1: Suggests the company may face difficulties in meeting short-term obligations. This can be a red flag for financial stability.
5. **Profit Margin**: A key financial indicator that measures a company’s profitability relative to its revenue. It shows what percentage of revenue remains after all related costs are deducted.
**General significance of Profit Margin**:
- **Operational Efficiency**: A high profit margin indicates efficient cost management and the ability to generate strong profits from revenue.
- **Industry Comparison**: Comparing a company’s profit margin with its industry peers helps assess its competitive position and relative performance.
**Note**:
- There is no single “good” margin across all industries. Each industry has different cost structures and competition levels, leading to varying average margins.
- When analyzing profit margins, one must consider the industry context, the company’s business model, and market trends.
6. **Growth Expectation ↑**: This refers to the expected profit growth. The percentage figure reflects how much growth the market expects the company to achieve in the next financial report based on the current stock price.
- The lower the expected growth rate (typically below 15%), the safer the current price is considered.
- A high expected growth rate may indicate that the market anticipates a profit breakthrough or that the stock is trading above its intrinsic value relative to actual earnings.
