Insync Index [LazyBear]BB Support + Histo mode
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Code: pastebin.com
Show enclosing BB
Show Insync as Histo:
v02 - Configurable levels
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Small update to allow configuring the 95/75/25/5 levels.
Latest source code: pastebin.com
v01 - orginal description
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Insync Index, by Norm North, is a consensus indicator. It uses RSI, MACD, MFI, DPO, ROC, Stoch, CCI and %B to calculate a composite signal. Basically, this index shows that when a majority of underlying indicators is in sync, a turning point is near.
There are couple of ways to use this indicator.
- Buy when crossing up 5, sell when crossing down 95.
- Market is typically bullish when index is above 50, bearish when below 50. This can be a great confirmation signal for price action + trend lines.
Also, since this is typical oscillator, look for divergences between price and index.
Levels 75/25 are early warning levels. Note that, index > 75 (and less than 95) should be considered very bullish and index below 25 (but above 5) as very bearish. Levels 95/5 are equivalent to traditional OB/OS levels.
The various values of the underlying components can be tuned via options page. I have also provided an option to color bars based on the index value.
More info: The Insync Index by Norm North, TASC Jan 1995
drive.google.com
List of my free indicators: bit.ly
List of my app-store indicators: blog.tradingview.com
(Support doc: bit.ly)
스크립트에서 "银轮股份当前的技术指标分析（如RSI、MACD、成交量）"에 대해 찾기
自動斐波擴展思考了8sAuto Fibonacci Extension Explanation
Auto Fibonacci Extension is a technical analysis tool used in financial markets (such as stocks, forex, commodities, and cryptocurrencies) to automatically calculate and draw Fibonacci extension levels, helping traders identify potential target prices or reversal areas after price trend continuations. Below is a detailed explanation of its core concepts, functions, and applications:
What is Auto Fibonacci Extension?
The Auto Fibonacci Extension indicator is based on the Fibonacci sequence, which derives specific ratios (such as 23.6%, 38.2%, 50%, 61.8%, 100%, 161.8%, 200%, and 261.8%) that are considered important reference points for price behavior in financial markets. Unlike traditional Fibonacci tools that require manual setting of start and end points, the Auto Fibonacci Extension indicator can automatically identify and draw these levels based on historical fluctuations on the price chart (e.g., recent highs and lows calculated by indicators like ZigZag), saving time and reducing human error.
Functions and Features
Automated Calculation and Drawing:
The Auto Fibonacci Extension indicator automatically draws extension levels based on key points on the price chart (usually highs and lows calculated by technical indicators like ZigZag).
No need for traders to manually select start point (A), end point (B), and retracement point (C); the indicator automatically identifies trend direction and retracement amplitude, then calculates potential price targets.
Key Levels:
Common Retracement Levels: 23.6%, 38.2%, 50%, 61.8%, and 78.6%, used to identify support or resistance after price retracements.
Common Extension Levels: 61.8%, 100%, 161.8%, 200%, and 261.8%, used to predict potential targets that prices may reach after trend continuation.
Flexibility and Customization:
Traders can adjust settings, such as which extension levels to display, line colors, widths, and styles.
Some indicators (like MT4/MT5 versions) allow setting alerts to notify traders when prices touch specific Fibonacci levels.
Options to reverse calculation direction (e.g., switching from bullish to bearish trend) or extend lines (left or right).
Applicable Markets and Timeframes:
Suitable for various financial markets (stocks, forex, futures, cryptocurrencies, etc.) and all timeframes (minute charts, daily charts, weekly charts, etc.), fitting day trading, swing trading, or long-term investing.
Calculation Method
The calculation of the Auto Fibonacci Extension indicator is based on Fibonacci ratios, with no fixed formula, but typically involves the following steps:
Identify Trend (A to B):
The indicator automatically detects the "A to B" movement on the price chart, i.e., the start point (A, usually a swing high or low) and end point (B, trend pause or reversal point) of the trend.
Determine Retracement Point (C):
Point C is the position where the price retraces from point B, often marked using Fibonacci retracement levels (e.g., 38.2% or 61.8%).
Calculate Extension Levels:
Based on points A, B, C, the indicator calculates extension targets in the trend direction. For example, the 161.8% extension level indicates that the price may extend from point C in the trend direction to 161.8% of the A-B swing height.
How to Use Auto Fibonacci Extension?
Trend Confirmation:
Before applying the indicator, traders should confirm the market trend (upward or downward), using other technical tools (such as moving averages or trendlines) for assistance.
Apply Indicator:
Enable the Auto Fibonacci Extension indicator on trading platforms (such as TradingView, MetaTrader 4/5, or NinjaTrader), and the system will automatically draw the levels.
Find Trading Opportunities:
Entry Points: When the price retraces to a key Fibonacci level (e.g., 61.8%) and shows reversal signals (such as candlestick patterns or technical indicator confirmations), consider entering trades in the trend direction.
Exit Points: Use extension levels (such as 161.8% or 200%) as potential profit-taking targets.
Stop Loss Settings: Set stop losses below the retracement level (bullish) or above (bearish) to manage risk.
Combine with Other Tools:
Combine the Auto Fibonacci Extension indicator with other technical analysis tools (such as moving averages, RSI, MACD, or support/resistance levels) to improve trading decision accuracy.
Trading Strategy Examples
Trend Continuation Strategy:
In an uptrend, when the price retraces from the high (B) to the 61.8% level (C) and shows rebound signals, traders can consider going long, with target prices set at 161.8% or 200% extension levels.
In a downtrend, when the price retraces to 38.2% or 50% levels and continues falling, consider shorting, with targets at 161.8% extension levels.
Range Trading Strategy:
In ranging markets, use 0% and 100% levels as support and resistance, and look for breakout or rebound opportunities when prices approach these levels.
Risk Management:
Set stop-loss and take-profit orders, ensuring a risk-reward ratio of at least 1:2. For example, if the stop loss is set below the 61.8% retracement level, the take profit can be set at the 161.8% extension level.
Advantages
Efficiency: Automation reduces time and errors in manual drawing.
Versatility: Applicable to multiple markets and timeframes, suitable for different trading styles.
Visualization: Clearly shows potential support, resistance, and target prices, helping traders make quick decisions.
Limitations
Not Foolproof: Fibonacci levels do not always accurately predict price behavior; combine with other analysis methods.
Market Dependency: More effective in strong trend markets; may produce more false signals in ranging markets.
Subjectivity: Although automated, selecting trend start points and parameter settings may still affect results.
Where to Use?
TradingView: Select "Auto Fib Extension" under the "Indicators" option, customize parameters, and view source code.
MetaTrader 4/5: Download the Auto Fibonacci Extension indicator, which automatically draws retracement and extension levels, supporting alert functions.
NinjaTrader: Provides free Auto Fibonacci Extension indicators, customizable levels and styles.
Summary
The Auto Fibonacci Extension indicator is a powerful and efficient tool that helps traders identify potential price targets and reversal areas through automated Fibonacci level drawing. It is particularly suitable for trend market traders but needs to be combined with other technical analysis tools and strict risk management strategies to improve success rates. Traders should familiarize themselves with its settings and test in demo accounts to ensure adaptation to their trading style.
AK EMA 200 Trend Filter StrategyStrategy Description – EMA 200 Trend Filter
This strategy uses the 200-period Exponential Moving Average (EMA) as a trend filter:
Entry Rule (Long only):
A long position is opened when the price crosses above the EMA 200 and closes above it.
Exit Rule:
The long position is closed if price closes back below the EMA 200.
Optional Short Trades (disabled by default, can be enabled):
A short position is opened when the price crosses below EMA 200 and closes below it.
The short is exited when price closes back above EMA 200.
Risk Management:
Configurable Stop Loss (%) and Take Profit (%) from entry price.
If enabled, trades are automatically protected with SL/TP levels.
Visualization:
EMA 200 is plotted in orange on the chart.
Green arrows mark long entries, red arrows mark exits.
✅ Use cases:
Works best on higher timeframes (1H, 4H, Daily) as a trend-following filter.
You can combine with additional indicators (RSI, MACD) to reduce false signals.
Always test in TradingView Strategy Tester before using in live trading.
HeatCandleHeatCandle - AOC Indicator
✨ Features
📊 Heat-Map Candles: Colors candles based on the price’s deviation from a Triangular Moving Average (TMA), creating a heat-map effect to visualize price zones.
📏 Zone-Based Coloring: Assigns colors to 20 distinct zones (Z0 to Z19) based on the percentage distance from the TMA, with customizable thresholds.
⚙️ Timeframe-Specific Zones: Tailored zone thresholds for 1-minute, 5-minute, 15-minute, 30-minute, 1-hour, and 4-hour timeframes for precise analysis.
🎨 Customizable Visuals: Gradient color scheme from deep blue (oversold) to red (overbought) for intuitive price movement interpretation.
🛠️ Adjustable Parameters: Configure TMA length and threshold multiplier to fine-tune sensitivity.
🛠️ How to Use
Add to Chart: Apply the "HeatCandle - AOC" indicator on TradingView.
Configure Inputs:
TMA Length: Set the period for the Triangular Moving Average (default: 150).
Threshold Multiplier: Adjust the multiplier to scale zone sensitivity (default: 1.0).
Analyze: Observe colored candles on the chart, where colors indicate the price’s deviation from the TMA:
Dark blue (Z0) indicates strong oversold conditions.
Red (Z19) signals strong overbought conditions.
Track Trends: Use the color zones to identify potential reversals, breakouts, or trend strength based on price distance from the TMA.
🎯 Why Use It?
Visual Clarity: The heat-map candle coloring simplifies identifying overbought/oversold conditions at a glance.
Timeframe Flexibility: Zone thresholds adapt to the selected timeframe, ensuring relevance across short and long-term trading.
Customizable Sensitivity: Adjust TMA length and multiplier to match your trading style or market conditions.
Versatile Analysis: Ideal for scalping, swing trading, or trend analysis when combined with other indicators.
📝 Notes
Ensure sufficient historical data for accurate TMA calculations, especially with longer lengths.
The indicator is most effective on volatile markets where price deviations are significant.
Pair with momentum indicators (e.g., RSI, MACD) or support/resistance levels for enhanced trading strategies.
Happy trading! 🚀📈
Structure Strategycreated to spot key area needed to take valid trades in most market conditions. use beside RSI MACD
Moving Average Signals : Support ResistanceThis indicator plots a Simple Moving Average (default 50-period, adjustable) and highlights potential bounce or rejection signals when price interacts with the SMA.
It is designed to identify moments when price tests the moving average from one side and then continues in the prior direction, signaling a possible continuation trade.
🔴 Red Triangle (Bearish Rejection)
A red triangle is plotted above the bar when:
Price has been trading below the SMA.
Price tests the SMA from below (the high touches or pierces the SMA but closes back below it).
Price then continues lower on the next bar.
This suggests the SMA acted as resistance and the downtrend may resume.
🟢 Green Triangle (Bullish Rejection)
A green triangle is plotted below the bar when:
Price has been trading above the SMA.
Price tests the SMA from above (the low touches or pierces the SMA but closes back above it).
Price then continues higher on the next bar.
This suggests the SMA acted as support and the uptrend may resume.
⚡ HOW TO USE IN TRADING
Trend Confirmation
Use this indicator in trending markets (not choppy ranges).
A rising SMA suggests bullish trend bias; a falling SMA suggests bearish trend bias.
Signal Entry
Green Triangle: Consider long entries when the SMA supports price and a bullish continuation is signaled.
Red Triangle: Consider short entries when the SMA rejects price and a bearish continuation is signaled.
Stop-Loss Placement
Place stops just beyond the SMA or the rejection candle’s high/low.
Example: For a red signal, stop above the SMA or rejection candle’s high.
Take-Profit Ideas
Target prior swing highs/lows or use risk/reward multiples (e.g., 2R, 3R).
You can also trail stops behind the SMA in a strong trend.
Filters for Higher Accuracy (optional)
Confirm signals with volume, momentum indicators (e.g., RSI, MACD), or higher-timeframe trend.
Avoid trading signals against strong higher-timeframe bias.
Gann Fan Strategy [KedarArc Quant]Description
A single-concept, rule-based strategy that trades around a programmatic Gann Fan.
It anchors to a swing (or a manual point), builds 1×1 and related fan lines numerically, and triggers entries when price interacts with the 1×1 (breakout or bounce). Management is done entirely with the fan structure (next/previous line) plus optional ATR trailing.
What TV indicators are used
* Pivots: `ta.pivothigh/ta.pivotlow` to confirm swing highs/lows for anchor selection.
* ATR: `ta.atr` only to scale the 1×1 slope (optional) and for an optional trailing stop.
* EMA: `ta.ema` as a trend filter (e.g., only long above the EMA, short below).
No RSI/MACD/Stoch/Heikin/etc. The logic is one coherent framework: Gann price–time geometry, with ATR as a scale and EMA as a risk filter.
How it works
1. Anchor
* Auto: chooses the most recent *confirmed* pivot (you control Left/Right).
* Manual: set a price and bar index and the fan will hold that point (no re-anchoring).
* Optional Re-anchor when a newer pivot confirms.
2. 1×1 Slope (numeric, not cosmetic)
* ATR mode: `1×1 = ATR(Length) × Multiplier` (adapts to volatility).
* Fixed mode: `ticks per bar` (constant slope).
Because slope is numeric, it doesn’t change with chart zoom, unlike the drawing tool.
3. Fan Lines
Builds classic ratios around the 1×1: 1/8, 1/4, 1/3, 1/2, 1/1, 2/1, 3/1, 4/1, 8/1.
4. Signals
* Breakout: cross of price over/under the 1×1 in the EMA-aligned direction.
* Bounce (optional): touch + reversal across the 1×1 to reduce whipsaw.
5. Exits & Risk
* Take-profit at the next fan line; Stop at the previous fan line.
* If a level is missing (right after re-anchor), a fallback Risk-Reward (RR) is used.
* Optional ATR trailing stop.
Why this is unique
* True numeric fan: The 1×1 slope is calculated from ATR or fixed ticks—not from screen geometry—so it is scale-invariant and reproducible across users/timeframes.
* Deterministic anchor logic: Uses confirmed pivots (with your L/R settings). No look-ahead; anchors update only when the right bars complete.
* Fan-native trade management: Both entries and exits come from the fan structure itself (with a minimal ATR/EMA assist), keeping the method pure.
* Two entry archetypes: Breakout for momentum days; Bounce for range days—switchable without changing the core model.
* Manual mode: Lock a session’s bias by anchoring to a chosen swing (e.g., day’s first major low/high) and keep the fan constant all day.
Inputs (quick guide)
* Auto Anchor (Left/Right): pivot sensitivity. Higher values = fewer, stronger anchors.
* Re-anchor: refresh to newer pivots as they confirm.
* Manual Anchor Price / Bar Index: fixes the fan (turn Auto off).
* Scale 1×1 by ATR: on = adaptive; off = use ticks per bar.
* ATR Length / ATR Multiplier: controls adaptive slope; start around 14 / 0.25–0.35.
* Ticks per bar: exact fixed slope (match a hand-drawn fan by computing slope ÷ mintick).
* EMA Trend Filter: e.g., 50–100; trades only in EMA direction.
* Use Bounce: require touch + reverse across 1×1 (helps in chop).
* TP/SL at fan lines; Fallback RR for missing levels; ATR Trailing Stop optional.
* Transparency/Plot EMA: visual preferences.
Tips
* Range days: larger pivots (L/R 8–12), Bounce ON, ATR Multiplier \~0.30–0.40, EMA 100.
* Trend days: L/R 5–6, Breakout, Multiplier \~0.20–0.30, EMA 50, ATR trail 1.0–1.5.
* Match the TV Gann Fan drawing: turn ATR scale OFF, set ticks per bar = `(Δprice between anchor and 1×1 target) / (bars) / mintick`.
Repainting & testing notes
* Pivots require Right bars to confirm; anchors are set after confirmation (no look-ahead).
* Signals use the current bar close with TradingView strategy mechanics; real-time vs. bar-close can differ slightly, as with any strategy.
* Re-anchoring legitimately moves the structure when new pivots confirm—by design.
⚠️ Disclaimer
This script is provided for educational purposes only.
Past performance does not guarantee future results.
Trading involves risk, and users should exercise caution and use proper risk management when applying this strategy.
Advanced Range Analyzer ProAdvanced Range Analyzer Pro – Adaptive Range Detection & Breakout Forecasting
Overview
Advanced Range Analyzer Pro is a comprehensive trading tool designed to help traders identify consolidations, evaluate their strength, and forecast potential breakout direction. By combining volatility-adjusted thresholds, volume distribution analysis, and historical breakout behavior, the indicator builds an adaptive framework for navigating sideways price action. Instead of treating ranges as noise, this system transforms them into opportunities for mean reversion or breakout trading.
How It Works
The indicator continuously scans price action to identify active range environments. Ranges are defined by volatility compression, repeated boundary interactions, and clustering of volume near equilibrium. Once detected, the indicator assigns a strength score (0–100), which quantifies how well-defined and compressed the consolidation is.
Breakout probabilities are then calculated by factoring in:
Relative time spent near the upper vs. lower range boundaries
Historical breakout tendencies for similar structures
Volume distribution inside the range
Momentum alignment using auxiliary filters (RSI/MACD)
This creates a live probability forecast that updates as price evolves. The tool also supports range memory, allowing traders to analyze the last completed range after a breakout has occurred. A dynamic strength meter is displayed directly above each consolidation range, providing real-time insight into range compression and breakout potential.
Signals and Breakouts
Advanced Range Analyzer Pro includes a structured set of visual tools to highlight actionable conditions:
Range Zones – Gradient-filled boxes highlight active consolidations.
Strength Meter – A live score displayed in the dashboard quantifies compression.
Breakout Labels – Probability percentages show bias toward bullish or bearish continuation.
Breakout Highlights – When a breakout occurs, the range is marked with directional confirmation.
Dashboard Table – Displays current status, strength, live/last range mode, and probabilities.
These elements update in real time, ensuring that traders always see the current state of consolidation and breakout risk.
Interpretation
Range Strength : High scores (70–100) indicate strong consolidations likely to resolve explosively, while low scores suggest weak or choppy ranges prone to false signals.
Breakout Probability : Directional bias greater than 60% suggests meaningful breakout pressure. Equal probabilities indicate balanced compression, favoring mean-reversion strategies.
Market Context : Ranges aligned with higher timeframe trends often resolve in the dominant direction, while counter-trend ranges may lead to reversals or liquidity sweeps.
Volatility Insight : Tight ranges with low ATR imply imminent expansion; wide ranges signal extended consolidation or distribution phases.
Strategy Integration
Advanced Range Analyzer Pro can be applied across multiple trading styles:
Breakout Trading : Enter on probability shifts above 60% with confirmation of volume or momentum.
Mean Reversion : Trade inside ranges with high strength scores by fading boundaries and targeting equilibrium.
Trend Continuation : Focus on ranges that form mid-trend, anticipating continuation after consolidation.
Liquidity Sweeps : Use failed breakouts at boundaries to capture reversals.
Multi-Timeframe : Apply on higher timeframes to frame market context, then execute on lower timeframes.
Advanced Techniques
Combine with volume profiles to identify areas of institutional positioning within ranges.
Track sequences of strong consolidations for trend development or exhaustion signals.
Use breakout probability shifts in conjunction with order flow or momentum indicators to refine entries.
Monitor expanding/contracting range widths to anticipate volatility cycles.
Custom parameters allow fine-tuning sensitivity for different assets (crypto, forex, equities) and trading styles (scalping, intraday, swing).
Inputs and Customization
Range Detection Sensitivity : Controls how strictly ranges are defined.
Strength Score Settings : Adjust weighting of compression, volume, and breakout memory.
Probability Forecasting : Enable/disable directional bias and thresholds.
Gradient & Fill Options : Customize range visualization colors and opacity.
Dashboard Display : Toggle live vs last range, info table size, and position.
Breakout Highlighting : Choose border/zone emphasis on breakout events.
Why Use Advanced Range Analyzer Pro
This indicator provides a data-driven approach to trading consolidation phases, one of the most common yet underutilized market states. By quantifying range strength, mapping probability forecasts, and visually presenting risk zones, it transforms uncertainty into clarity.
Whether you’re trading breakouts, fading ranges, or mapping higher timeframe context, Advanced Range Analyzer Pro delivers a structured, adaptive framework that integrates seamlessly into multiple strategies.
Divergences v2.4 [LTB][SPTG]Open-source credit & license
Original author: LonesomeTheBlue.
This fork by: sirpipthegreat — with attribution to the original work.
License: Open-source, published under the MPL-2.0 (same license header in the code).
I am publishing this open-source in accordance with TradingView’s Open-source reuse rules.
What’s new:
- Fixes & stability (addresses “historical offset beyond buffer” errors)
- Capped and validated all historical indexing with guarded lookbacks (e.g., min(…, 200) style limits) to prevent referencing data beyond the buffer on shorter histories/thin symbols.
- Refactored highest/lowest bars scans to obey the cap and avoid cumulative overflows on long sessions.
- Added per-bar counters with safety clamps to ensure it never exceeds available history.
- Ensured HTF switching doesn’t create invalid offsets when the higher timeframe compresses history.
Modernization & user control:
- Pine v6 upgrade and re-organization of logic for clarity/performance.
- More predictable tops/bottoms detection.
What it does:
- Detects regular (trend-reversal) and optional hidden (trend-continuation) divergences between price swing tops/bottoms and the selected oscillator(s).
- Computes candidate pivots with a light HTF alignment to reduce micro-noise; validates divergence when oscillator and price move in opposite directions across those pivots.
- Plots colored lines/labels on price to highlight bearish (regular & hidden) and bullish (regular & hidden) patterns.
How to use:
- Choose the oscillator set you trust (start with RSI + MACD).
- Consider confluence (S/R, volume, trend filters). This tool only identifies conditions
Floating Dashboard + KDE (v6)Simple indicator that displays ADX, RSI, MACD, ATR, Average Volume and KDE with dynamic Table and Label.
Donchian Squeeze Oscillator# Donchian Squeeze Oscillator (DSO) - User Guide
## Overview
The Donchian Squeeze Oscillator is a technical indicator designed to identify periods of low volatility (squeeze) and high volatility (expansion) in financial markets by measuring the distance between Donchian Channel bands. The indicator normalizes this measurement to a 0-100 scale, making it easy to interpret across different timeframes and instruments.
## How It Works
The DSO calculates the width of Donchian Channels as a percentage of the middle line, smooths this data, and then normalizes it using historical highs and lows over a specified lookback period. The result is inverted so that:
- **High values (80+)** = Narrow channels = Low volatility = Squeeze
- **Low values (20-)** = Wide channels = High volatility = Expansion
## Key Parameters
### Core Settings
- **Donchian Channel Period (20)**: The number of bars used to calculate the highest high and lowest low for the Donchian Channels
- **Smoothing Period (5)**: Applies moving average smoothing to reduce noise in the oscillator
- **Normalization Lookback (200)**: Historical period used to normalize the oscillator between 0-100
### Threshold Levels
- **Over Squeeze (80)**: Values above this level indicate strong squeeze conditions
- **Over Expansion (20)**: Values below this level indicate strong expansion conditions
## Reading the Indicator
### Color Coding
- **Red Line**: Squeeze condition (above 80 threshold) - Markets are consolidating
- **Orange Line**: Neutral/trending condition with upward momentum
- **Green Line**: Expansion condition or downward momentum
### Visual Elements
- **Red Dashed Line (80)**: Squeeze threshold - potential breakout zone
- **Gray Dotted Line (50)**: Middle line - neutral zone
- **Green Dashed Line (20)**: Expansion threshold - high volatility zone
- **Red Background**: Highlights active squeeze periods
## Trading Applications
### 1. Breakout Trading
- **Setup**: Wait for DSO to reach 80+ (squeeze zone)
- **Entry**: Look for breakouts when DSO starts declining from squeeze levels
- **Logic**: Prolonged low volatility often precedes significant price movements
### 2. Volatility Cycle Trading
- **Squeeze Phase**: DSO > 80 - Prepare for potential breakout
- **Breakout Phase**: DSO declining from 80 - Trade the direction of breakout
- **Expansion Phase**: DSO < 20 - Expect trend continuation or reversal
### 3. Trend Confirmation
- **Orange Color**: Suggests bullish momentum during expansion
- **Green Color**: Suggests bearish momentum or consolidation
- Use in conjunction with price action for trend confirmation
## Best Practices
### Timeframe Selection
- **Higher Timeframes (Daily, 4H)**: More reliable signals, fewer false breakouts
- **Lower Timeframes (1H, 15M)**: More frequent signals but higher noise
- **Multi-timeframe Analysis**: Confirm squeeze on higher TF, enter on lower TF
### Parameter Optimization
- **Volatile Markets**: Increase Donchian period (25-30) and smoothing (7-10)
- **Range-bound Markets**: Decrease Donchian period (15-20) for more sensitivity
- **Trending Markets**: Use longer normalization lookback (300-400)
### Signal Confirmation
Always combine DSO signals with:
- **Price Action**: Support/resistance levels, chart patterns
- **Volume**: Confirm breakouts with increasing volume
- **Other Indicators**: RSI, MACD, or momentum oscillators
## Alert System
The indicator includes built-in alerts for:
- **Squeeze Started**: When DSO crosses above the squeeze threshold
- **Expansion Started**: When DSO crosses below the expansion threshold
## Common Pitfalls to Avoid
1. **False Breakouts**: Don't trade every squeeze - wait for confirmation
2. **Parameter Over-optimization**: Stick to default settings initially
3. **Ignoring Market Context**: Consider overall market conditions and news
4. **Single Indicator Reliance**: Always use additional confirmation tools
## Advanced Tips
- Monitor squeeze duration - longer squeezes often lead to bigger moves
- Look for squeeze patterns at key support/resistance levels
- Use DSO divergences with price for potential reversal signals
- Combine with Bollinger Band squeezes for enhanced accuracy
## Conclusion
The Donchian Squeeze Oscillator is a powerful tool for identifying volatility cycles and potential breakout opportunities. Like all technical indicators, it should be used as part of a comprehensive trading strategy rather than as a standalone signal generator. Practice with the indicator on historical data before implementing it in live trading to understand its behavior in different market conditions.
FUMO 200 MagnetWhat it does
FUMO Magnet measures how far price has stretched away from its long-term “magnet” — a blended EMA/SMA moving average (200 by default).
It plots a logarithmic deviation (optionally normalized) as an oscillator around zero.
Above 0** → price is above the magnet (stretched up)
Below 0** → price is below the magnet (stretched down)
Guide levels** highlight potential overbought/oversold zones
---
Why log deviation?
Log returns make extremes comparable across cycles and compress exponential trends — especially useful for BTC and other crypto assets.
Normalization modes further adjust the scale, keeping the oscillator readable on any chart.
---
Inputs
**Base**
* Source (default: Close)
* Base Length (default: 200 EMA/SMA)
* EMA vs SMA weight (%) — 0% = pure SMA, 100% = pure EMA, 50% = blended
* EMA smoothing of deviation — acts as a noise filter
**Normalization**
* None (Log Deviation) — raw log stretch in % terms
* Z-score — deviation in standard deviations (σ)
* Robust Z (MAD) — deviation vs median absolute deviation, resistant to outliers
* Tanh squash — smooth nonlinear squash of extremes for compact scale
* Normalization window (for Z / MAD)
* Tanh scale (lower = stronger squash)
* Clamp after normalization — hard cap at ±X
**Levels**
* Guide levels (Upper / Lower) — visual thresholds (default ±12)
* Zero line toggle
---
### How to read it
* **Trend bias**: sustained time above 0 = uptrend, below 0 = downtrend
* **Stretch / mean reversion**: the farther from 0, the higher the reversion risk
* **Cross-checks**: combine with structure (HH/HL, LH/LL), volume, or momentum (RSI, MACD)
---
### Recommended settings by timeframe
**Long-term (1D / 1W)**
* Normalization: None (Log Deviation)
* Base Length: 200
* EMA vs SMA weight: 50% (adjust 35–65% for faster/slower magnet)
* Deviation smoothing: 20 (10–30 range)
* Guide levels: ±12 to ±20
* Use case: cycle extremes, portfolio rebalancing, trim/add logic
**Swing (4H – 1D)**
* Normalization: Z-score
* Window: 200 (100–250)
* Smoothing: 14–20
* Guide levels: ±2σ to ±3σ
* Use case: stretched conditions across regimes; ±3σ is rare, often mean-reverts
**Intraday / Active swing (1H – 4H)**
* Normalization: Robust Z (MAD)
* Window: 200 (150 for faster response)
* Smoothing: 10–16
* Guide levels: ±3 to ±4 (robust units)
* Use case: handles spikes better than σ, fewer false overbought/oversold signals
**Scalping / Universal readability (15m – 1H)**
* Normalization: Tanh squash
* Tanh scale: 6–10 (start with 8)
* Smoothing: 8–12
* Guide levels: ±8 to ±12
* Use case: compact panel across assets and timeframes; not % or σ, but visually consistent
---
### Optional
* Clamp: enable ±20 (or ±25) for strict bounded range (useful for public charts)
---
### Quick setups
**BTC Daily (“cycle view”)**
* Normalization: None
* Blend: 50%
* Smooth: 20
* Levels: ±12–15
**BTC 4H (“swing”)**
* Normalization: Z-score
* Window: 200
* Smooth: 16
* Levels: ±2.5σ to ±3σ
**Alts 1H (“volatile”)**
* Normalization: Robust Z (MAD)
* Window: 200
* Smooth: 12
* Levels: ±3.5 to ±4.5
**Mixed assets 15m (“compact panel”)**
* Normalization: Tanh squash
* Scale: 8
* Smooth: 10
* Levels: ±8–12
* Clamp: ±20
Custom Support & Resistance LevelsThe Smart Auto Trendline Indicator is designed to help traders quickly identify key market trends without the need for manual drawing. It automatically detects swing highs and lows, plots dynamic trendlines, and updates them in real-time as price evolves.
This tool is especially useful for traders who rely on trendline breakouts, pullback entries, or reversal confirmations. By simplifying chart analysis, it saves time and ensures more consistent results.
Key Features:
🔹 Automatic detection of valid swing highs and lows
🔹 Dynamic trendline plotting (auto-adjusts as price moves)
🔹 Highlights potential breakout and breakdown zones
🔹 Works on all timeframes and instruments (Forex, Stocks, Indices, Crypto)
🔹 Clean, non-intrusive design to keep charts clear
🔹 Customizable settings (line color, style, sensitivity)
How to Use:
Apply the indicator to your chart.
Observe automatically drawn trendlines.
Watch for breakouts above/below trendlines for trade entries.
Use in combination with other tools like RSI, MACD, or support/resistance for stronger confirmation.
Best For:
Breakout traders
Swing traders
Trend followers
Forex, Stocks, Crypto, Indices
MultiFactor Power Indicator v4 (No-Repaint) 📊 Strategy: Trend + Momentum + Signal Confirmation
This setup uses 3 layers so signals are reliable:
1. Trend Filter: 200 EMA → only take trades in trend direction.
2. Momentum Trigger: RSI + MACD combo to confirm momentum.
3. Entry/Exit Signal: Arrow on chart (Buy/Sell) with alerts — non-repainting because it only confirms on candle close.
Multi-Indicator Market SignalMulti-Indicator Market Signal with rsi , macd ,volume buy and sell signal
MA Crossover Detector
The Moving Average Crossover Detector is a custom indicator that visually shows buy and sell signals clearly on the chart. based on the crossing of two moving averages — a popular and beginner-friendly tool in technical analysis.
It plots two moving averages — One fast (short period) and one slow (long period) — and highlights crossover points:
✅ Buy Signal (Golden Cross) – When the fast MA crosses above the slow MA.
❌ Sell Signal (Death Cross) – When the fast MA crosses below the slow MA.
✅ Features
Visual: Clearly shows crossovers on the chart.
Customizable: Choose periods, types, styles, etc.
Alert-ready: You can set alerts for crossovers.
The Moving Average (MA) Crossover Strategy is one of the simplest and most widely used strategies in technical analysis for trading stocks, forex, crypto, and other markets. It relies on the interaction between two moving averages to generate buy and sell signals.
Core Components
Short-Term Moving Average (Fast MA) : Reacts quickly to price changes (e.g., 9-period or 20-period).
Long-Term Moving Average (Slow MA) : Reacts more slowly to price changes (e.g., 21-period or 200-period).
How the Strategy Works
Bullish Crossover (Golden Cross):
Occurs when the fast MA crosses above the slow MA. Interpreted as a buy signal, indicating a potential uptrend.
Bearish Crossover (Death Cross):
Occurs when the fast MA crosses below the slow MA. Interpreted as a sell signal, indicating a potential downtrend.
Common Variants
Short-term trading
9 EMA
21 EMA
Swing trading
20 SMA
50 SMA
Long-term investing
50 SMA
200 SMA
Pros
Easy to understand and implement
Works well in trending markets
Can be automated for backtesting and execution
Cons
Lagging indicator: MAs are based on past prices, so signals come after the move has started.
Choppy markets = whipsaws: Generates false signals in sideways/range-bound conditions.
May underperform in volatile or mean-reverting environments
Tips for Improvement
Use confirmation tools : e.g., RSI, MACD, volume analysis, price action
Add filters : Trend filter (ADX), volatility filter (ATR), or time filter (session-based)
Combine with price structure : Support/resistance, breakouts, pullbacks
TPC Strategy XAUUSD - M5 with Fixed SL/TPThis script implements a trend-following strategy for XAUUSD on the 5-minute chart, using 200 EMA and 21 EMA to filter direction. Entries are triggered based on RSI, MACD crossovers, and price action alignment. It includes fixed Stop Loss (15 pips) and Take Profit (22.5 pips) with visual SL/TP lines, BUY/SELL labels, and alert conditions for automated notifications. Designed for intraday scalping and low-risk entries during trending conditions.
BUY in HASH RibbonsHash Ribbons Indicator (BUY Signal)
A TradingView Pine Script v6 implementation for identifying Bitcoin miner capitulation (“Springs”) and recovery phases based on hash rate data. It marks potential low-risk buying opportunities by tracking short- and long-term moving averages of the network hash rate.
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Key Features
• Hash Rate SMAs
• Short-term SMA (default: 30 days)
• Long-term SMA (default: 60 days)
• Phase Markers
• Gray circle: Short SMA crosses below long SMA (start of capitulation)
• White circles: Ongoing capitulation, with brighter white when the short SMA turns upward
• Yellow circle: Short SMA crosses back above long SMA (end of capitulation)
• Orange circle: Buy signal once hash rate recovery aligns with bullish price momentum (10-day price SMA crosses above 20-day price SMA)
• Display Modes
• Ribbons: Plots the two SMAs as colored bands—red for capitulation, green for recovery
• Oscillator: Shows the percentage difference between SMAs as a histogram (red for negative, blue for positive)
• Optional Overlays
• Bitcoin halving dates (2012, 2016, 2020, 2024) with dashed lines and labels
• Raw hash rate data in EH/s
• Alerts
• Configurable alerts for capitulation start, recovery, and buy signals
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How It Works
1. Data Source: Fetches daily hash rate values from a selected provider (e.g., IntoTheBlock, Quandl).
2. Capitulation Detection: When the 30-day SMA falls below the 60-day SMA, miners are likely capitulating.
3. Recovery Identification: A rising 30-day SMA during capitulation signals miner recovery.
4. Buy Signal: Confirmed when the hash rate recovery coincides with a bullish shift in price momentum (10-day price SMA > 20-day price SMA).
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Inputs
Hash Rate Short SMA: 30 days
Hash Rate Long SMA: 60 days
Plot Signals: On
Plot Halvings: Off
Plot Raw Hash Rate: Off
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Considerations
• Timeframe: Best applied on daily charts to capture meaningful miner behavior.
• Data Reliability: Ensure the chosen hash rate source provides consistent, gap-free data.
• Risk Management: Use alongside other technical indicators (e.g., RSI, MACD) and fundamental analysis.
• Backtesting: Evaluate performance over different market cycles before live deployment.
Max Profit Min Loss Options Strategyoption when to buy and sell calls and puts indicator. it uses the rsi macd and volume indicators. it has high profit and low loses
Divergence Indicator with Multi-Length Pivot DetectionThis Pine Script, titled “Divergence Indicator with Multi-Length Pivot Detection”, tool that detects both regular and hidden divergences between price action and an oscillator (defaulting to close, but configurable). It features multi-length pivot logic, angle-based validation, no-cross filtering, and OB/OS region filtering, making it a robust and precise divergence engine. Below is a detailed breakdown:
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🔧 Inputs and Configuration
• osc_src: Oscillator source (e.g. close, RSI, MACD).
• show_hidden: Toggles detection of hidden divergences.
• min_*_angle settings: Control the minimum angle thresholds (in degrees) for confirming valid divergences (ensures momentum is strong enough).
• validate_no_cross: Ensures oscillator and price slopes don’t “cross” the actual values (i.e. filters out invalid or messy trends).
• oversold_level, overbought_level: Used when use_ob_os_filter is enabled to require oscillator to be in OS/OB zones for regular divergence.
• min_div_length: Minimum distance in bars between previous and current pivot points.
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🔁 Internal Engine Mechanics
1. Pivot Detection Engine (Phase 1: Historical Memory)
• For all combinations of left1 and right1 in the range :
• Records all valid pivot lows and pivot highs.
• Stores their:
• bar index
• price value
• oscillator value
This forms a “memory buffer” of past pivots that future price pivots are compared against.
2. Current Pivot Detection (Phase 2: Scanning)
• Loops through larger pivot configurations (left2 ∈ , right2 = 1) to detect new current pivots.
• For each new pivot, it compares against the historical pivots from phase 1.
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📐 Slope and Angle Calculation
For each matching pivot pair (historical vs current):
• Price and Oscillator Slopes are calculated via linear regression, producing:
• price_angle
• osc_angle
• These are converted using math.atan() and math.todegrees() to get proper angular direction and intensity of trend.
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🧠 Divergence Logic
✅ Bullish Divergence
• Regular Bullish: Price makes a lower low, oscillator makes a higher low.
• Hidden Bullish: Price makes a higher low, oscillator makes a lower low.
• Conditions:
• Must meet minimum angle thresholds.
• Optional: Must be in oversold region (osc_src < oversold_level).
• If validate_no_cross is enabled, linearly interpolated slope must not be violated.
✅ Bearish Divergence
• Regular Bearish: Price makes a higher high, oscillator makes a lower high.
• Hidden Bearish: Price makes a lower high, oscillator makes a higher high.
• Conditions mirror the bullish case (with polarity reversed).
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🖍️ Visualization
• Draws colored lines between pivots for visual clarity:
• Green: Regular Bullish
• Lime: Hidden Bullish
• Red: Regular Bearish
• Maroon: Hidden Bearish
• Uses plotshape() to mark divergence bars:
• Triangle-up for bullish
• Triangle-down for bearish
The lines and shapes help quickly identify divergence zones with strong momentum structure.
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🧪 Filtering Enhancements
• No Cross Slope Filter: Checks that oscillator and price values stay above/below their respective slope lines throughout the interval.
• OB/OS Filter: Restricts divergence signals to occur only in oversold/overbought conditions for regular divergences.
• Signal Thinning: Keeps line count to 100 using array.shift() and line.delete().
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🧬 Design Philosophy
• Built to mimic institutional-grade divergence detection, avoiding common false positives.
• Uses adaptive pivots, rigorous angle validation, and noise filtering.
Flexi MA Heat ZonesOverview
Flexi MA Heat Zones is a powerful multi-timeframe visualization tool that helps traders easily identify trend strength, direction, and potential zones of confluence using multiple moving averages and dynamic heatmaps. The indicator plots up to three pairs of customizable moving averages, with color-coded heat zones to highlight bullish and bearish conditions at a glance.
Whether you're a trend follower, mean-reversion trader, or looking for visual confirmation zones, this indicator is designed to offer deep insights with high customizability.
⚙️ Key Features
🔄 Supports multiple MA types: Choose from EMA, SMA, WMA, VWMA to suit your strategy.
🎯 Six moving averages: Three MA pairs (MA1-MA2, MA3-MA4, MA5-MA6), each with independent lengths and colors.
🌈 Heatmap Zones: Dynamic fills between MA pairs, changing color based on bullish or bearish alignment.
👁️🗨️ Full customization: Enable/disable any MA pair and its heatmap zone from the settings.
🪞 Transparency controls: Adjust the visibility of heat zones for clarity or stylistic preference.
🎨 Color-coded for clarity: Bullish and bearish colors for each heat zone pair, fully user-configurable.
🧩 Efficient layout: Smart use of grouped inputs for easier configuration and visibility management.
📈 How to Use
Use the MA1–MA2 and MA3–MA4 zones for longer-term trend tracking and confluence analysis.
Use the faster MA5–MA6 zone for short-term micro-trend identification or scalping.
When a faster MA is above the slower one within a pair, the fill turns bullish (user-defined color).
When the faster MA is below the slower one, the fill turns bearish.
Combine with price action or other indicators for entry/exit confirmation.
🧠 Pro Tips
For trend-following strategies, consider using EMA or WMA types.
For mean-reversion or support/resistance zones, SMA and VWMA may offer better zone clarity.
Overlay with RSI, MACD, or custom entry signals for higher confidence setups.
Use different heatmap transparencies to visually separate overlapping MA zones.
S&R Zones MTF (TechnoBlooms)S&R Zones MTF – Multi-Timeframe Support & Resistance Boxes
🔍 Overview
S&R Zones MTF is a professional-grade yet beginner-friendly indicator that dynamically plots Support & Resistance zones across multiple timeframes, helping traders recognize high-probability reversal areas, entry confirmations, and price reaction points.
This tool visualizes structured zones as colored boxes, allowing both new and experienced traders to analyze multi-timeframe confluence with ease and clarity.
🧠 What Is This Indicator?
S&R Zones MTF automatically detects the most significant support and resistance levels from up to four custom timeframes, using a configurable lookback period. These zones are displayed as colored horizontal boxes directly on the chart, making it easy to:
Spot where price has historically reacted
Identify potential reversal or breakout zones
Confirm entries with institutional-style precision
🛠️ Key Features
✅ Multi-Timeframe Zone Detection (up to 4 timeframes)
📦 Auto Plotted Boxes for Support (Blue) & Resistance (Pink)
🧱 Dynamic Height based on average price range or fixed input
🏷️ Timeframe Labels to instantly identify zone origin
🎛️ Customizable inputs: Lookback length, box color, height style
🔁 Real-time updates as price structure changes
🎓 Educational & Easy to Use
Whether you’re a new trader learning about price structure, or a professional applying institutional concepts, this tool offers an educational layout to understand:
How price respects historic zones
Why multi-timeframe zones offer stronger confluence
How to use zones for entry, exit, or risk placement
📈 How to Use (Multi-Timeframe Strategy)
Select Your Timeframes – Customize up to 4 higher timeframes (e.g., 1m, 5m, 15m, 1h).
Observe Overlapping Zones – When multiple timeframes agree, those zones are more significant.
Entry Confirmation – Wait for price to reach a zone, then look for reversal patterns (engulfing candle, pin bar, etc.)
Combine with Other Tools – Use alongside indicators like RSI, MACD, or Order Blocks for added confidence.
💡 Pro Tips
Zones from higher timeframes (1H, 4H) are often more powerful and reliable.
Confluence matters: If a 15m support zone aligns with a 1H support zone — that's a high-probability reaction area.
Use break-and-retest strategies with zone rejections for sniper entries.
Enable "Auto Height" for a more adaptive, volatility-based zone display.
🌟 Summary
S&R Zones MTF blends precision, clarity, and professional analysis into a visual structure that’s easy to understand. Whether you're learning support & resistance or optimizing your MTF edge — this tool will bring clarity to your charts and confidence to your trades.
CVD Divergence + Volume HMA RSI MACD StrategyHow the script works:
The script calculates the HMA for trend direction. The HMA (shown in orange) is used as a filter: long trades are taken only if price is above the HMA, and short trades when below.
The CVD is computed by cumulatively adding volume on up bars and subtracting volume on down bars.
Pivot routines (with the input "Pivot Length") detect swing lows/highs for both price and CVD. A bullish divergence is flagged when the price makes a lower low while the CVD makes a higher low. Similarly, a bearish divergence is flagged when the price makes a higher high while the CVD makes a lower high.
Trading is triggered when the divergence condition also agrees with the HMA filter.
Feel free to further adjust the parameters or add risk‐management/exit rules as needed for your trading style.
