DEMA ATR Strategy [PrimeAutomation]⯁ OVERVIEW
The DEMA ATR Strategy combines trend-following logic with adaptive volatility filters to identify strong momentum phases and manage trades dynamically.
It uses a Double Exponential Moving Average (DEMA) anchored to ATR volatility bands, creating a self-adjusting trend baseline.
When the adjusted DEMA shifts direction, the strategy enters positions and scales out profit in phases based on ATR-driven targets.
This system adapts to volatility, filters noise, and seeks sustained directional moves.
⯁ KEY FEATURES
DEMA-Volatility Hybrid Filter
Uses Double EMA with ATR expansion/compression logic to form a dynamic trend baseline.
Directional Shift Entries
Entries occur when the adjusted DEMA flips trend (bullish crossover or bearish crossunder vs its past value).
Noise Reduction Mechanism
ATR range caps extreme moves and prevents false flips during choppy volatility spikes.
Multi-Level Take Profits
Targets scale out positions at 1×, 2×, and 3× ATR multiples in the trade direction.
Volatility-Adaptive Targets
ATR multiplier ensures profit targets expand/contract based on market conditions.
Single-Direction Exposure
No pyramiding; the strategy flips position only when trend shifts.
Automated Trade Finalization
When all profit targets trigger, the position is fully closed.
⯁ STRATEGY LOGIC
Trend Direction:
DEMA baseline is modified using ATR upper/lower envelopes.
• If the adjusted DEMA rises above previous value → Bullish
• If it falls below previous value → Bearish
Entry Rules:
• Enter Long when bullish shift occurs and no long position exists
• Enter Short when bearish shift occurs and no short position exists
Take Profit Logic:
3 partial exits for each trade based on ATR:
• TP1 = ±1× ATR
• TP2 = ±2× ATR
• TP3 = ±3× ATR
Profit distribution: 30% / 30% / 40%
Exit Conditions:
• Exit when all TPs hit (full scale-out if sum of all TPs 100%)
• Opposite trend signal closes current trade and opens new one
⯁ WHEN TO USE
Trending environments
Medium–high volatility phases
Swing trading and intraday trend plays
Markets that respect momentum continuation (crypto, indices, FX majors)
⯁ CONCLUSION
This strategy blends DEMA trend recognition with ATR-based volatility adaptation to generate cleaner directional entries and structured take-profit exits. It is designed to capture momentum phases while avoiding noise-driven false signals, delivering a disciplined and scalable trend-following approach.
M-trend
Trend TraderMost trend indicators don’t offer continuation signals or accurate bounce points, so I created this indicator that uses one of the most common trading levels (EMAs). This indicator uses the 50, 100, and 200 EMAs along with WaveTrend signals to trade trends. Buy Signals are filtered so that they only show up when the 100 EMA is above the 200. And Inverse for Sell Signals.
This indicator works well with both Stocks and Crypto. Default settings work best on 15 min, 1H, 2H, and 4H.
(Chart examples are using Heikin Ashi Candles, on Log Scale.)
*Buy and Sell Signals do not repaint.
Settings:
- Ability to show all buy and sell signals regardless of trend.
- To change the sensitivity of the buy and sell signals, change the “Average Length”
- (The lower the number the more sensitive, the higher the number the less they pop up)
- Ability to change EMA Lengths
imgur.com
Simple Line📌 Understanding the Basic Concept
The trend reverses only when the price moves up or down by a fixed filter size.
It ignores normal volatility and noise, recognizing a trend change only when price moves beyond a specified threshold.
Trend direction is visually intuitive through line colors (green: uptrend, red: downtrend).
⚙️ Explanation of Settings
Auto Brick Size: Automatically determines the brick/filter size.
Fixed Brick Size: Manually set the size (e.g., 15, 30, 50, 100, etc.).
Volatility Length: The lookback period used for calculations (default: 14).
📈 Example of Identifying Buy Timing
When the line changes from gray or red to green, it signals the start of an uptrend.
This indicates that the price has moved upward by more than the required threshold.
📉 Example of Identifying Sell Timing
When the line changes from green to red, it suggests a possible downtrend reversal.
At this point, consider closing long positions or evaluating short entries.
🧪 Recommended Use Cases
Use as a trend filter to enhance the accuracy of existing strategies.
Can be used alone as a clean directional indicator without complex oscillators.
Works synergistically with trend-following strategies, breakout strategies, and more.
🔒 Notes & Cautions
More suitable for medium- to long-term trend trading than for fast scalping.
If the brick size is too small, the indicator may react to noise.
Sensitivity varies greatly depending on the selected brick size, so backtesting is essential to determine optimal values.
❗ The Trend Simple Line focuses solely on direction—remove the noise and focus purely on the trend.
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작성자 지시 사항
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면책사항
해당 정보와 게시물은 금융, 투자, 트레이딩 또는 기타 유형의 조언이나 권장 사항으로 간주되지 않으며, 트레이딩뷰에서 제공하거나 보증하는 것이 아닙니
Anchor SafeSwing Gold StrategyOverview:
The Anchor SafeSwing Gold Strategy is designed for users who prefer structured, rule-based swing trading on XAUUSD. It focuses on identifying high-quality trade setups rather than frequent entries.
This strategy analyzes the market using multiple technical indicators and methods—including trend analysis, multi-chart confirmation, and support/resistance evaluation—to identify potential swing points. It also incorporates a dynamic approach to risk management through adaptive stop-loss and take-profit logic.
How the Strategy Works
1. Multi-Chart & Trend Analysis:
The strategy evaluates trend direction using several indicators and multiple charts. This helps determine whether the trend favors long or short setups.
2. Buy/Sell Conditions:
a. Buy Conditions: When the broader trend is identified as bullish, the strategy waits for the formation of a strong support zone before considering a long position.
b. Sell Conditions: When the trend is bearish, it waits for a confirmed resistance zone before initiating short positions.
3. Dynamic Take-Profit Logic
The strategy uses adaptive take-profit behavior based on evolving market conditions. It monitors new support/resistance structures and various overbought/oversold signals to dynamically exit trades.
4. Dynamic and Configurable Stop-Loss:
A flexible stop-loss system adjusts according to volatility and market structure.
Users can modify the stop-loss threshold in the settings based on their own risk tolerance and account size.
Trading Frequency :
This strategy focuses on select, high-quality setups. As a result, trade frequency is relatively low and may vary depending on market conditions. Backtesting may show roughly several trades per month, but actual live performance can differ.
Important Notes
All trading involves risk, and users should evaluate the strategy and adjust settings according to their own risk management preferences.
Filter Ribbon1. Indicator Name
Filter Ribbon
2. One-line Introduction
A trend visualization ribbon that uses linear regression and directional scoring to highlight bullish and bearish strength with intuitive color gradients.
3. General Overview
Filter Ribbon is a minimalistic yet powerful trend visualization tool that leverages linear regression slope ordering to determine directional momentum. It analyzes the ordering of regression values over a defined lookback period and quantifies how consistently the price has been trending upward or downward.
Using a pairwise comparison system, it calculates a trend "score" and compares this to a configurable threshold to determine if a bullish, bearish, or neutral condition exists.
The result is a color-coded ribbon that sits over the chart, changing hue and opacity based on both the direction and strength of the trend. The stronger the directional alignment, the more opaque the ribbon becomes, offering traders a fast, intuitive way to assess market sentiment at a glance.
It also includes an optional linear regression line to further help visualize the central trend.
This indicator is best used in trend-following systems or as a dynamic background layer when combined with signal-based strategies.
Thanks to its efficient design and protected logic, Filter Ribbon offers high-performance visualization without compromising strategy integrity.
4. Key Advantages
🌈 Visual Trend Heatmap
Dynamic color ribbon gives real-time visual feedback on both trend direction and strength.
🔢 Quantified Trend Scoring
Calculates a mathematically sound trend score using pairwise linear regression comparisons.
⚖️ Adjustable Sensitivity
Users can tune lookback and threshold parameters to fit different asset classes and timeframes.
📉 Smooth Ribbon Effect
Plots upper/lower bands around regression line with smooth filling for a professional chart look.
🎯 Precise Trend Confirmation
Acts as a confidence layer for other entry/exit signals by confirming broader trend bias.
🔒 Secure and Minimal Codebase
Core logic is embedded securely with minimal exposure, reducing risk of replication or misuse.
📘 Indicator User Guide
📌 Basic Concept
Filter Ribbon determines trend direction and intensity by comparing the order of linear regression values over time.
It forms a ribbon on the chart that changes color based on trend direction and opacity based on trend strength.
This makes it ideal for identifying clear trending periods vs. uncertain consolidations.
⚙️ Settings Explained
Lookback Period: Number of bars for scoring the trend direction (higher = smoother trend)
Range Tolerance (%): Determines how aggressive the trend classification is (lower = stricter)
Regression Length: Period for calculating the base linear regression line
Ribbon Colors: Customize colors for bullish and bearish conditions
📈 Bullish Timing Example
Ribbon color is green and becomes increasingly opaque
Regression line slopes upward and price remains above it
Can be used as trend confirmation for long trades
📉 Bearish Timing Example
Ribbon color is red with higher opacity
Price consistently below the regression line
Useful for confirming short trade setups or avoiding long entries
🧪 Recommended Use Cases
Combine with breakout indicators to validate if the breakout aligns with broader trend
Use in swing or trend-following strategies as a background filter
Helps filter out trades during unclear, sideways market conditions
🔒 Precautions
Not a signal generator on its own — meant for trend context only
Ribbon may lag slightly during sudden trend reversals; best used with reactive entry tools
Always test ribbon parameters on your specific market/timeframe before applying live
Avoid using solely in low-volatility or flat markets — sensitivity may require tuning
+++
Volume Pulse [ziksfx]Volume Pulse is a clean volume indicator designed to make it easier to read meaningful changes in activity without cluttering your chart. It enhances the standard volume view by supporting both classic volume and dollar volume , highlighting spikes and extreme bars and adding a compact label on the latest bar so you always see the current volume value at a glance. The script is intended to be used in a separate volume pane.
How it works
– Supports two modes: standard volume or dollar volume (close × volume).
– Colors volume bars by candle direction (up/down). Optionally, it can:
• highlight volume spikes above a moving average;
• mark the highest-volume bar over a user-defined lookback period.
– Plots a simple moving average of volume so you can quickly see when activity is above or below typical levels.
– On the latest bar, shows a small label with the current volume value, automatically abbreviated (K / M / B) and optionally prefixed with “$” in dollar-volume mode.
Inputs & customization
– Volume type: choose between standard volume and dollar volume.
– Volume MA length: controls how sensitive the moving average is to recent changes in activity.
– Spike highlighting: optional, turns on/off coloring for bars where volume exceeds the moving average.
– Highest-volume bar lookback: sets the period for detecting the highest-volume bar.
– Label position: choose whether the last-bar label appears on the left or right side of the bar, and optionally shift it slightly above the bar for better readability.
Use cases
Use Volume Pulse to:
– Spot sudden spikes in volume and compare them to the recent average.
– Identify sessions or candles with unusually high activity relative to a chosen TF.
– Visually study how volume behaves around price moves, breakouts or potential fakeouts to better understand their strength or weakness.
– Keep track of the latest bar’s volume instantly, without having to read the raw scale values.
This indicator works on any symbol that has volume data (stocks, futures, crypto and more), but volume quality may vary between markets and instruments. It is intended as an analytical and educational tool only: it does not constitute financial advice and does not provide or guarantee any trading results. Always combine volume context with your own analysis and risk management.
Safe Supertrend Strategy (No Repaint)Overview
The Safe Supertrend is a repaint-free version of the popular Supertrend trend-following indicator.
Most Supertrend indicators appear perfect on historical charts because they flip intrabar and then repaint after the candle closes.
This version fixes that by using close-of-bar confirmation only, making every trend flip 100% stable, safe, and non-repainting.
Why This Supertrend Doesn’t Repaint
Most Supertrend indicators calculate their trend direction using the current bar’s data.
But during a live candle:
ATR expands and contracts
The upper/lower bands move
Price moves above/below the band temporarily
A false flip appears → then disappears when the candle closes
That is classic repainting.
This indicator avoids all of that by using:
close > upper
close < lower
This means:
Trend direction flips only based on the previous candle,
No intrabar calculations,
No flickering signals,
No “perfect but fake” historical performance.
Every signal you see on the chart is exactly what was available in real-time.
How It Works
Calculates ATR (Average True Range) and SMA centerline
Builds upper and lower volatility bands
Confirms trend flips only after the previous bar closes
Plots clear bull and bear reversal signals
Works on all markets (crypto, stocks, forex, indices)
No repainting, no recalc, no misleading flips.
Bullish Signal (Trend Up)
A bullish trend begins only when:
The previous candle closes above the upper ATR band,
And this flip is fully confirmed.
A green triangle marks the start of a new uptrend.
Bearish Signal (Trend Down)
A bearish trend begins only when:
The previous candle closes below the lower ATR band,
And the downtrend is confirmed.
A red triangle signals the start of a new downtrend.
Inputs
ATR Length - default 10
ATR Multiplier - default 3.0
Works on all timeframes and market
Simple, but powerful.
Why Use This Version Instead of a Regular Supertrend?
Most Supertrends:
Look great historically
But repaint continuously on live charts
Give false trend flips intrabar
Cannot be reliably used in strategies
This version:
Uses strict previous-bar logic
Never repaints trend direction
Works perfectly in live trading
Backtests accurately
Is ideal for algorithmic strategies
Ideal For:
Trend-following strategies
Breakout trading
Algo trading systems
Reversal detection
Filtering market noise
Swing trading & scalping
Final Note
This is a safer, more reliable Supertrend designed for real-world use — not perfect-looking repaint illusions.
If you use Supertrend in your trading system, this no-repaint version ensures your signals are trustworthy and consistent.
Safe Supertrend Strategy (No Repaint)Overview
The Safe Supertrend is a repaint-free version of the popular Supertrend trend-following indicator.
Most Supertrend indicators appear perfect on historical charts because they flip intrabar and then repaint after the candle closes.
This version fixes that by using close-of-bar confirmation only, making every trend flip 100% stable, safe, and non-repainting.
Why This Supertrend Doesn’t Repaint
Most Supertrend indicators calculate their trend direction using the current bar’s data.
But during a live candle:
ATR expands and contracts
The upper/lower bands move
Price moves above/below the band temporarily
A false flip appears → then disappears when the candle closes
That is classic repainting.
This indicator avoids all of that by using:
close > upper
close < lower
This means:
Trend direction flips only based on the previous candle,
No intrabar calculations,
No flickering signals,
No “perfect but fake” historical performance.
Every signal you see on the chart is exactly what was available in real-time.
How It Works
Calculates ATR (Average True Range) and SMA centerline
Builds upper and lower volatility bands
Confirms trend flips only after the previous bar closes
Plots clear bull and bear reversal signals
Works on all markets (crypto, stocks, forex, indices)
No repainting, no recalc, no misleading flips.
Bullish Signal (Trend Up)
A bullish trend begins only when:
The previous candle closes above the upper ATR band,
And this flip is fully confirmed.
A green triangle marks the start of a new uptrend.
Bearish Signal (Trend Down)
A bearish trend begins only when:
The previous candle closes below the lower ATR band,
And the downtrend is confirmed.
A red triangle signals the start of a new downtrend.
Inputs
ATR Length - default 10
ATR Multiplier - default 3.0
Works on all timeframes and market
Simple, but powerful.
Why Use This Version Instead of a Regular Supertrend?
Most Supertrends:
Look great historically
But repaint continuously on live charts
Give false trend flips intrabar
Cannot be reliably used in strategies
This version:
Uses strict previous-bar logic
Never repaints trend direction
Works perfectly in live trading
Backtests accurately
Is ideal for algorithmic strategies
Ideal For:
Trend-following strategies
Breakout trading
Algo trading systems
Reversal detection
Filtering market noise
Swing trading & scalping
Final Note
This is a safer, more reliable Supertrend designed for real-world use — not perfect-looking repaint illusions.
If you use Supertrend in your trading system, this no-repaint version ensures your signals are trustworthy and consistent.
Scaling_mastery:Free TrendlinesScaling_mastery Trendlines is a clean, trading-ready smart trendline tool built for the Scaling_mastery community.
It automatically finds swing highs/lows and draws dynamic trendlines or channels that stay locked to price, on any symbol and any timeframe.
🔧 Modes
Trendline type
Wicks – classic trendlines anchored on candle wicks (high/low).
Bodies – trendlines anchored on candle bodies (open/close), great for closing structure.
Channel – 3-line channel:
outer lines form a band around price
middle line runs through the centre of the channel
thickness is adjustable (Small / Medium / Large).
Trend strength
Controls how strong the pivots must be to form a line.
Weak → more lines, reacts faster.
Medium → balanced, good for most pairs.
Strong → only the cleanest swings, higher-probability trendlines.
🎨 Visual controls
Max support / resistance lines – cap how many lines are kept on chart.
Show broken lines – hide broken trendlines or keep them for structure history.
Extend lines – None / Right / Both.
Support / Resistance colors – separate colors for active vs broken.
Channel thickness – Small / Medium / Large (0.5% / 1% / 2% of price).
Channel outer lines – color for channel edges.
Channel middle line – color + style (dotted / dashed / solid).
Broken lines are automatically faded + dotted, so you can instantly see what’s still respected and what’s already been taken out.
🧠 How to use
Add the indicator to any chart.
Start with:
Trendline type: Wicks
Trend strength: Strong
Max lines: 1–2 for both support & resistance
Once you like the behavior, experiment with:
Switching between Wicks / Bodies / Channel
Adjusting Channel thickness and Trend strength
Use the lines as a visual confluence tool with your own strategy:
HTF trend direction
LTF entries / retests
Liquidity grabs around broken lines
This script doesn’t generate entries or risk management – it’s designed to give you clean, reliable structure so you can execute your own edge.
⚠️ Disclaimer
This tool is for educational and visual purposes only and is not financial advice.
Always do your own research and manage risk.
Average Directional Index infoAverage Directional Index (ADX) is a technical indicator created by J. Welles Wilder that measures trend strength (not direction!). Values range from 0 to 100.
This indicator is a supplementary tool for assessing whether trend strategies are worthwhile, monitoring changes in trend strength and avoiding weak, choppy movements
Value Interpretation:
0-25: Weak trend or sideways market
25-50: Moderate to strong trend
50-75: Very strong trend
75-100: Extremely strong trend (rare)
Important: ADX does not indicate trend direction (up/down), only its strength!
This script indicator includes additional features:
1. ADX Plot (purple line)
Basic ADX value showing current trend strength.
2. ADX Trend Analysis (arrows)
The script compares current ADX with its 10-period moving average with ±5% tolerance:
↑ (green): ADX rising → trend strengthening
↓ (red): ADX falling → trend weakening
⮆ (gray): ADX stable → trend strength unchanged
3. Information Table
Displays current ADX value with trend arrow in the top-right corner.
Parameters to Configure
Smoothing (default: 14) - Indicator smoothing period
Lower values (e.g., 7): more sensitive, more signals
Higher values (e.g., 21): more stable, less noise
Indicator Length (default: 14) - Period for calculating directional movement (+DI/-DI)
Wilder's standard value is 14
Trend Length (default: 10) - Period for moving average to analyze ADX dynamics
Determines how quickly changes in trend strength are detected
Practical Application
✅ Strategy 1: Trend Strength Filter
1. ADX > 25 → look for positions aligned with the trend
2. ADX < 25 → avoid trend strategies, consider oscillators
✅ Strategy 2: Entries on Strengthening Trend
1. ADX crosses above 25 + arrow ↑ → trend gaining momentum
2. Combine with other indicators (e.g., EMA) for direction confirmation
✅ Strategy 3: Exhaustion Warning
1. ADX > 50 + arrow ↓ → strong trend may be exhausting
2. Consider profit protection or trailing stop
Average True Range % infoATR% is a modified version of the classic Average True Range indicator that displays price volatility as a percentage of the instrument's value, rather than in absolute values. This allows you to easily compare the volatility of different assets (e.g., Bitcoin vs Tesla stock) regardless of their price.
Main Features
1. ATR% Chart
The red line shows the average volatility from the last N candles (default 14), expressed as a percentage. For example:
ATR% = 2.5% means that the average daily move is approximately 2.5% of the asset's value
Higher values = greater volatility (higher profit potential, but also greater risk)
Lower values = lower volatility (calmer market)
2. Volatility Trend Analysis
The indicator automatically detects whether volatility is rising, falling, or stable:
Up arrow (↑) - volatility is rising (price becomes more "nervous")
Down arrow (↓) - volatility is falling (market is calming down)
Horizontal arrow (⮆) - volatility is stable (within ±3% of the moving average)
3. Information Table
In the upper right corner of the chart you will see Current ATR% value and Trend arrow with color coding:
- Green = rising volatility
- Red = falling volatility
- Gray = stable volatility
Parameters to Configure
Indicator Length (default: 14) - How many candles back to include in calculations:
Lower values (5-10): more sensitive to sudden changes, reacts faster
Higher values (20-30): more smoothed, shows long-term volatility picture
Trend Length (default: 10) - Period to analyze whether volatility is rising/falling:
Lower values: faster trend change signals
Higher values: more reliable, but slower signals
Sample Interpretations
ATR% Volatility Asset Type/Situation
< 1% Very low Stable blue-chip stocks, calm market
1-3% Low-medium Typical stocks, normal conditions
3-5% Medium-high Volatile stocks, cryptocurrencies at rest
5-10% High Cryptocurrencies, penny stocks
> 10% Extremely high Market panic, crash, pump & dump
PA Builder [PrimeAutomation]1. PA Builder – Overview
PA Builder is not a fixed strategy; it’s a framework for building strategies. Instead of giving traders one rigid system, it provides a toolbox where entries, exits, filters, risk parameters, and automation rules can all be defined and combined. The core philosophy is confluence: the idea that a trade should only be taken when multiple independent signals agree. The Builder is built around this principle. Every module; trend, reactors, bands, reversals, volume, structure, divergences, externals can be treated as one layer of confidence. The stronger the alignment across layers, the higher the quality of the setup in theory.
In practice, this means PA Builder encourages traders to think in terms of “confluence,” not single indicators. Trend and positioning define whether you should even be looking for longs or shorts. Timing tools such as bands, reversals and candlestick structures determine when inside that broader bias you want to engage. Confirmation tools like volume and flow tell you whether capital is actually supporting the move. Filter systems then ensure that even if everything looks good locally, you still respect higher-timeframe or opposing warnings. The Builder’s philosophy is simple: enter less often, but only when conditions are genuinely in your favour.
2. Core Entry Signal Components
The entry logic in PA Builder is built on a set of signal engines that can be combined in many ways. Trend Signals form a natural foundation. They use low-lag low-pass filters, borrowed from audio signal processing, to extract directional bias from price without the classic delay of classical moving averages. The sensitivity parameter controls how reactive this engine is: lower values favour cleaner trends and fewer whipsaws, while higher values are better suited to short-term intraday trading where speed matters more than smoothness. Many traders start by requiring that Trend Signals show “all bullish” or “all bearish” before allowing any entries in that direction.
Trend signals firing short positions
On top of this directional backbone, the Dynamic Reactor behaves as an adaptive baseline. It accelerates in volatile phases and slows down during consolidation, effectively acting as a moving reference point for both trend and price position. A typical use of this module is to insist that, for long trades, the price sits above a bullish reactor; for shorts, below a bearish one. At the higher-timeframe level, the Quantum Reactor provides a VWAP-style reference that can be anchored to larger candles than the chart you are trading. A common configuration is to trade on a 15-minute chart while requiring that price is above the 4-hour Quantum Reactor for longs or below it for shorts. The “fast” and “slow” options determine how quickly this reference adapts to new information.
Timing is then refined with tools like Quantum Bands, reversals and candle structure analysis. Quantum Bands identify extremes within the current environment. In an uptrend, a tag of the lower band can be treated as a pullback rather than a breakdown; in a downtrend, the upper band acts like a shorting zone. Many traders combine “trend up and above higher-timeframe reactor” with “price temporarily below lower band” to construct a mean-reversion entry inside a larger uptrend. Reversal detection modules examine recent bars to find turning points, with shorter lookbacks capturing fast flips and longer lookbacks tracking deeper structural changes. Candle structure logic goes beyond classical candlestick names and instead focuses on whether price action confirms follow-through or reversion behaviour, with options like “2X” modes that wait for two successive confirmations before acting.
Before and after filtering using reactor applied.
Additional confirmation layers come from Volume Matrix, Money Flow, OSC True7 and divergence detection. Volume and flow tools answer whether actual capital is participating in the move or whether price is drifting on thin activity. OSC True7 categorises the state of the trend into intuitive buckets, strong, healthy, neutral, or exhausted, making it easier to avoid chasing extremes. Divergences between price and momentum can be used either as entry triggers in contrarian systems or as hard filters that block trades when warning signs are present. Finally, two external indicator inputs make it possible to integrate RSI, MACD, custom indicators or even other strategies into the Builder, either as simple thresholds or as comparative logic between two external sources (for example, requiring a fast EMA to be above a slow EMA before allowing longs).
3. Exit System & Trade Management
The exit systems in PA Builder are designed to be as vital as the entry logic. It assumes exits are not an afterthought, but half of the edge. Instead of forcing a single take profit point, the system uses a three-tier structure where you can assign different portions of the position to different targets. A common pattern is to scale out a small portion early (for example at one ATR), another portion at an intermediate level, and keep the largest slice for a deeper move. This creates a natural balance: you book something early to reduce emotional stress, while leaving room to participate in the full potential of a trend.
Targets can be defined using ATR multiples or risk-to-reward ratios that are directly tied to the initial stop distance. Using ATR keeps exits proportional to current volatility. A two ATR target in a quiet environment is very different in absolute price distance from the same multiple in a high-volatility environment, yet conceptually it represents the same “size” move. Risk-to-reward exits build on this by ensuring that if you risk one unit (1R), the reward targets are set at predefined multiples of that risk. This enforces positive expectancy at the structural level: the strategy cannot generate entries with inherently negative payoffs.
Once price begins to move in your favour, trailing logic takes over if you choose to enable it. Trailing can begin immediately from entry or only after a target has been hit. Many users prefer to let TP1 and TP2 behave as fixed profit points and then apply a trailing stop or trailing take profit to the final remainder. That way, routine winners are banked mechanically, while occasional explosive moves can be ridden for as long as the market allows. The breakeven module supports this behaviour by automatically moving stops to entry (or slightly through entry into profit) after a specified condition such as TP1 being hit. This transforms the risk profile mid trade: once breakeven has been secured, remaining size can be managed with much less psychological pressure.
The system also recognises the cost of time. Kill Switch functionality exits trades that have been open too long under mediocre conditions, typically when they are in modest profit but not progressing. This protects you from capital being tied up while better opportunities appear elsewhere. Underlying all of this are several trailing stop mechanisms: percentage-based, tick-based for very short-term strategies, TP linked trailing that activates only once a certain profit threshold has been achieved, and ATR based trailing that automatically scales the trail distance with volatility. Each method serves a slightly different profile of strategy, but all share the same aim: preserve gains and limit downside in a structured way rather than rely on discretionary judgement after the fact.
4. Filters and Risk Management
The filter systems in PA Builder formalise the idea that good trading is often about knowing when not to act. “Do Not Trade” conditions can be configured so that even a perfectly aligned bullish entry stack is overridden if certain bearish evidence is present. These can include higher timeframe reversal structures, powerful opposing divergences, or conflicting signals in key modules. By assigning conditions specifically to “Do Not Long” and “Do Not Short” rather than only to entries, you create asymmetry: buying requires bullish evidence and an absence of strong bearish warnings; selling requires the mirror.
Volatility filters extend this logic to the regime level. Some strategies are inherently suited to low volatility, range bound environments where fading extremes is profitable; others require expansion and energy to function properly. By binding trading permission to volatility ranges, you ensure that a mean-reversion system does not blindly attempt to fade a breakout, and that a momentum system does not spin its wheels in a dead, sideways market. You can even reference volatility from a higher timeframe than the one you trade, so that a five-minute strategy is still aware of the broader one-hour volatility regime it sits inside.
Applied DO NOT TRADE - removes poor signal
Risk management and position sizing are configured so each trade is expressed in units of risk rather than arbitrary size. Leverage, in this framework, is simply a scaling factor for capital efficiency; the actual risk per trade is still controlled by the distance between entry and stop and the percentage of equity you choose to expose. Reinvestment options then decide what proportion of accumulated profit is fed back into position sizing. A more aggressive reinvestment setting accelerates compounding but increases the amplitude of drawdowns; a more conservative one smooths the equity curve at the cost of slower growth. The Base Trade Value parameter ties all of this together by deciding how much nominal capital or how many contracts are committed per trade in light of your maximum allowed simultaneous positions and your intended use of leverage.
External exit conditions provide further flexibility. For example, you might design a system whose entries rely purely on PA Builder’s internal modules, but whose exits use RSI readings, moving average crosses, or a proprietary external indicator. The separation of entry and exit logic allows you to bolt on different behaviours at the tail end of trades while keeping your core signal engine intact. In all cases, the objective is the same: express risk in a controlled, repeatable way that can survive long stretches of unfavourable market conditions.
5. PDT, Cooldowns and Visual Modes
For traders subject to Pattern Day Trading rules, PA Builder includes a day-trade tracking system that counts business days correctly and respects the three-trades-in-five-days limit. This goes beyond simple compliance; it forces discipline. When intraday trading is heavily constrained, you are naturally pushed toward swing-oriented strategies with fewer, more selective entries. The tool visually marks your PDT status so you never inadvertently cross the line and trigger a lockout.
Cooldown systems address another reality: psychological vulnerability after streaks. Following several consecutive wins, many traders unconsciously loosen their standards, take marginal signals, oversize positions, or overtrade. A win-streak cooldown deliberately pauses trading after a configured number of wins, giving you time to reset. The same applies to losing streaks. After a run of losses, the strongest temptation is often to “make it back now,” which is exactly when discipline is weakest. A loss-streak cooldown enforces a break in activity during this high-risk emotional state, helping to prevent cascading damage driven by revenge trading.
Visualisation comes in two main modes. Classic mode emphasises precision: it draws explicit entry lines, stop levels, target levels and fill zones, making it easy to audit risk/reward on each trade, verify that the exit logic behaves as intended, and review historical trades in detail. Modern mode emphasises market feel: instead of focusing on exact levels, it colours candles and backgrounds to reflect momentum, profit state and dynamics.
This helps you see at a glance whether a strategy is operating in a smooth trending environment or a choppy, fragmented one, and whether current trades are broadly working or struggling. Many users develop and debug in Classic mode and then monitor live performance in Modern mode, so both representations become part of the workflow.
6. Strategy Design Workflow, Examples and Cautions
Designing with PA Builder is inherently iterative. You begin with a simple theory and a minimal configuration, perhaps just a trend filter and a basic stop/target structure, and run a backtest. You then examine where the system fails. If you see many losses occurring in counter-trend conditions, you add an additional directional filter or restrict entries with a higher-timeframe reactor condition. If you observe many small whipsaw losses, you might require candle structure confirmation or volume confirmation before allowing an entry. Each change is made one at a time and evaluated. This process gradually builds a layered system where every component has a clear purpose: some reduce drawdown, some increase win rate, some cut out only the worst trades, and others help capture more of the best ones.
A conservative swing strategy might need an agreement between short-term trend signals, a higher-timeframe Quantum position, and a bullish Dynamic Reactor state, while checking that volume supports the move and that no significant bearish reversals or divergences are present on higher timeframes. It might accept relatively few trades, but each trade would be tightly controlled, scaled out over several ATR-based targets and protected with breakeven and trailing logic. On the opposite end, an aggressive scalping configuration would relax some filters, favour faster sensitivities, use short lookback reversals, and tighten stops and targets dramatically, relying on high frequency and careful volatility filtering to maintain edge.
Throughout all of this, overfitting remains the main danger. The more parameters you tune and the more coincidental rules you add to make the backtest equity curve smoother, the more likely it is that you are capturing noise rather than a real, repeatable edge. Signs of overfitting include heavily optimised numeric values with no intuitive justification, large differences between in-sample and out-of-sample results, or strategies that work spectacularly in very specific regimes and collapse elsewhere. To mitigate this, keep strategies as simple as possible, test across different market regimes (bull, bear, range), and accept that robust systems usually look less “perfect” on the historical chart.
Bridging the gap from backtest to live trading is another critical step. Before risking capital, it is wise to paper trade the configuration for a number of trades to confirm that signal frequency, behaviour and execution align with expectations. When going live, starting with minimal size and gradually scaling up based on real-world performance helps manage both financial and psychological risk. If live results diverge significantly from backtest expectations due to slippage, fees, or changing market conditions, you can adjust, reduce size, or temporarily pause rather than commit fully to a failing configuration.
Ultimately, PA Builder is designed to be a tool for building structured, rules-driven trading systems. It gives you the tools to express your ideas, test them, refine them, and run them under controlled risk. It does not remove uncertainty or guarantee results, but it does provide a clear, transparent way to translate trading concepts into executable, testable logic, and to evolve those systems as markets change and your understanding deepens.
ATH/ATL/DaysThis indicator displays the All-Time High (ATH) and All-Time Low (ATL) — or more precisely, the highest and lowest price within the last N days. It works on any timeframe and uses only local chart data (no security() calls), ensuring stable and accurate results.
It plots horizontal lines for both the ATH and ATL and includes a clean, compact table showing:
Date of the extreme
Days since it occurred
Price
% distance from current price
$ distance from current price
A reliable tool for identifying local extremes, spotting market structure shifts, and tracking short-term price ranges.
Plus Screener [ChartPrime]The Plus Screener is designed to provide a broad vision of market conditions across selected asset classes. These models include low-lag filtering, directional bias estimation, pressure gradient calculations, probabilistic states, reversal inflection modelling, candlestick structure classification, and volatility phase metrics.
By combining these metrics the aim is to provide the user with a blanket breakdown at a glance of all key market systems and states.
Underlying Components
This section defines the technical foundations of the screener’s calculations and each column.
Low-Lag Trend Engine
The trend signals / trend-detection module based on recursive low pass filtering and phase compensation techniques to minimize delay typically seen in classical trading signals.
It produces directional states by evaluating:
- filtered slope
- rate-of-change
- smoothing derivative
- trend persistence score
This engine forms the primary input for the Trend Signals column. By combining these evaluations the trend signals offer unique insights.
A plus next to the signal shows that the signal is stronger in nature and a more violent market reaction could be occurring. A tick next to the signal suggests a system take profit (derived from ATR) was reached. This could suggest taking this trade is less likely to be profitable as we already have overextended.
A vital feature of The Prime Screener is its adaptability and customizability.
Users can refine the tuning and responsiveness of signals through the settings and tuning input, offering a tailored experience to individual trading preferences.
For example; a trader that wants to scan for longer term swing moves might want to consider using a higher tuning input. A scalper however might want to use a lower value for higher frequency signals.
Dynamic Reactor Model
The Dynamic Reactor provides a simple band passing through the chart. This can provide assistance in support and resistance locations as well as identifying the trend direction expressed via green and red colors. Taking a moving average and applying unique low lag adaptivity calculations gives this plot a unique and fast behavior. This gives a unique edge to standard high length moving averages.
This model approximates buying/selling force without relying on volume data, instead inferring pressure from displacement behaviour.
Quantum Reactor System
The quantum reactor is a custom weighted moving average analyzing trends in the market. Unlike other moving averages; weighting has been considered to account for ranging markets. The Reactor will turn gray in a ranging market to avoid chop allowing for filtering of trades. This offers a unique insight into price action. Classical moving averages will constantly attempt to re-adapt to a trend whereas the Reactor will avoid adaptation where it sees fit.
The Quantum Reactor column therefore shows the current state of this calculation making for easy volume analysis at a glance.
Candlestick Structure Classifier
Beyond signal identification, the screener incorporates a comprehensive analysis of candle patterns and potential reversals. Employing contrarian logic, the tool highlights key reversal signals on assets. Additionally, the screener accommodates ChartPrime's candlestick pattern identification, contributing a predictive element for anticipating market reversals or continuations.
These candle sticks are detected via traditional candle formations however it is important to note these are filtered. By looking for reversal candles with correct momentum attributes we can create a unique candlestick detection system.
Only patterns with statistically relevant characteristics are displayed.
Volatility Computation
In trading, volatility and finding volatile assets can help traders get in on opportunities and assess market conditions. This column in the table leverages filtered Z-scores to present a percentage rating with anything >70% deemed highly volatile. These are charts of the present possible scalping opportunities depending on the selected timeframe.
The Plus Screener consolidates multiple analytical models each focused on a distinct aspect of market behaviour, into a single, structured output.
By evaluating trend direction, displacement pressure, probabilistic bias, reversal potential, structural candle formation, and volatility phases, the system offers a high-resolution overview of each asset in a watchlist.
The goal is not to issue buy/sell decisions, but to present objective system states so traders can:
- rapidly identify favourable environments
- filter out assets lacking structure
- locate high-energy or low-energy conditions
- observe early signs of trend initiation, trend exhaustion, or reversal formation
Trend Catcher - Divergences v2 - by Crypto_Dan_CroIf you want to get this indicator, contact me on
X handle: @crypto_dan_cro
What is Trend Catcher - Divergences v2?
It's advanced TradingView indicator designed to automatically detect and visualize divergences between price action and the RSI indicator, enhanced with smart filtering and visual strength analysis.
This tool helps traders identify potential trend reversals, continuation opportunities, and areas of weakening momentum with high clarity and precision.
Key Features
Automatic Detection of Divergences:
- Bullish divergence
- Bearish divergence
- Hidden bullish divergence
- Hidden bearish divergence
Overlap Prevention System
When bullish and bearish divergences occur in the same zone, the script intelligently prioritizes the stronger and more reliable signal to avoid confusion and clutter.
Visual Chart Rendering
Each divergence is displayed with:
- A line connecting key swing points
- A label showing: Divergence type, Active confirmation filter, Signal strength (Weak / Medium / Strong / Extreme)
Divergence Strength Heatmap
The indicator includes a Heatmap system that visually represents divergence strength using color intensity:
- Weak divergences appear lighter and more transparent
- Strong divergences appear bold and highly visible
Strength Classification Levels
Every divergence is categorized into one of four levels: Weak, Medium, Strong, Extreme
Confirmation Filters
- RSI + Trend Filter (recommended)
- RSI + MACD
- RSI + OBV
- MACD + Price Action
Multi-Timeframe Information Panels
ACTUAL DIVERGENCES
Displays currently active divergences across timeframes
LATEST DIVERGENCES
Shows the most recent divergence detected on each timeframe
Included timeframes:
15m, 30m, 1h, 4h, 8h, 12h, 1D, 3D, 1W, 1M
Ideal Use Cases
This indicator is perfect for:
- Swing trading
- Identifying reversal zones
- Momentum exhaustion detection
- Supporting price action strategies
- Trend confirmation and filtering
Trend Catcher – Divergences v2 provides a powerful yet clear approach to divergence trading by combining:
- Smart logic
- Visual clarity
- Strenght analysis
- Reliable filtering
It is built for traders who want precision, clarity, and confidence when trading divergences.
Crypto markets are volatile, if you choose to use this indicator for trading, you are doing it on your own. Crypto_dan_cro is not responsible for any profits or losses created by using this Indicator.
SWS Snowflake Sniper – Hybrid Fundamental & Technical SystSWS Snowflake Sniper is a comprehensive hybrid trading system designed to filter the highest-quality opportunities by combining strict Fundamental Analysis (Value) with precise Technical Momentum (Trend).
It answers the two most important questions in trading: What to buy? and When to buy?
1. ❄️ The Fundamental Engine (The "Snowflake")
The indicator scans the company's financial statements in real-time to generate a Global Fundamental Score (0-100) based on 6 key pillars:
🏥 HEALTH: Solvency and liquidity (Current Ratio, Debt/Equity, Altman Z).
🔮 FUTURE: Growth metrics (Revenue, EPS, SGR).
📜 PAST: Efficiency and Profitability (ROE, ROA, Piotroski F-Score).
🛡️ RISK: Volatility, Beta, Max Drawdown, Leverage.
💰 VALUATION: Relative value (P/E, PEG, EV/EBITDA, FCF Yield).
💸 CASH FLOW: Quality of earnings and Free Cash Flow generation.
Logic: If the Global Score is > 85, the chart background turns Green, indicating the asset is "Investable".
2. ⚙️ The Technical Engine (Trendrating)
To time the entry, the script calculates a composite momentum score based on a weighted average of 8 indicators: ADX, TEMA, Klinger, MFI, PFE, ROC, RVI, and Aroon.
It classifies the trend into 4 Ratings:
🟢 A (Strong Bull): High momentum.
🔵 B (Weak Bull): Accumulation/Uptrend.
🟠 C (Weak Bear): Distribution/Correction.
🔴 D (Bear): Strong downtrend.
🧩 The Dashboard & UI
A detailed Heads-Up Display (HUD) allows you to audit every metric instantly. You can see exactly which financial criteria the company passed or failed (e.g., "ROE > 10% ✅").
🚀 The "Sniper" Signal
The indicator issues a SNIPER BUY signal only when two conditions meet:
Fundamental Score > 85 (Safe Company).
Technical Rating = A (Strong Momentum).
Best used on: Stocks (Equities) with available financial data.
Timeframe: Optimized for Daily (1D) and Weekly (1W) swing trading.
9/21 EMA Trend TOP rIGHT CORNER INDICATORCrossover indicator for the 9 & 21 EMA. Buy Sell for cross up or down respectively. Daily, weekly and Monthly trend.
3MA Slope Detection_三均线斜率侦测Detect the slope of the moving average and change its color to determine whether it has entered a trend or is consolidating.
HalfTrend + Trend AliThis indicator combines the structural logic of the HalfTrend system with a trend filter built on the Hull Moving Average to provide a clearer view of potential market turning points.
The HalfTrend method reacts to price extremes using adaptive deviations, offering a dynamic representation of local highs and lows. By integrating a Hull MA trend filter, the script focuses only on signals that appear in harmony with the prevailing directional bias, helping reduce noise that may occur during counter-trend fluctuations.
🔹 How It Works
The HalfTrend algorithm tracks price swings using amplitude-based detection and ATR-derived channel deviation.
A trend switch is detected when price moves beyond the boundaries of the current swing structure.
The Hull Moving Average acts as a fast-reacting trend reference. Only signals that align with the Hull direction are highlighted.
To maintain clarity and avoid clustered notifications, the script displays only one signal per confirmed trend phase.
🔹 What the Signals Represent
Buy signals appear when the HalfTrend structure shifts upward and the Hull MA confirms an uptrend.
Sell signals appear when the structure shifts downward and the Hull MA confirms a downtrend.
Both signal types include optional alerts for traders who want to be notified immediately when conditions change.
🔹 Purpose
This tool is intended for traders who want to observe structural trend shifts together with a clean and responsive trend filter. It does not attempt to predict the market; instead, it highlights moments when short-term reversals and broader trend direction are aligned.
🔹 Notes
The indicator does not repaint the signals once confirmed.
It can be applied to any market or timeframe.
Users may combine it with their own risk management or additional confirmation tools.
TICK Indicator with Extreme AlertsOverview:
This indicator is designed to provide intraday traders (especially those trading SPX, ES, and NQ) with a clearer NYSE TICK analysis tool featuring visual alerts. Unlike traditional TICK line charts, this indicator utilizes OHLC Candlesticks to display data, allowing you to fully view the Open, High, Low, and Close within a specific timeframe, thereby capturing instantaneous liquidity sweeps.
Core Features & Logic:
Candlestick Visualization (OHLC Candles): Uses the USI:TICK.US data source by default. The candlestick patterns allow you to clearly see if the TICK pierced key levels intraday but retraced by the close—vital information that standard line charts often miss.
Dual Key Level System: The indicator is designed with two independent reference tiers for trend observation and reversal detection:
Reference Lines (+/- 800): Marked by gray dashed lines. These represent the standard bull/bear dividing zones. When TICK sustains above +800 or below -800, it typically indicates a strong trending market.
Extreme Alerts (+/- 1000): These thresholds are used to identify extreme market sentiment (overbought/oversold conditions).
Background Highlight Alerts (Visual Alerts): To reduce screen-watching fatigue, the indicator automatically highlights the candlestick background when extreme market sentiment occurs:
Green Background: Triggered when TICK High breaks above +1000. Represents extreme buying sentiment, potentially indicating exhaustion or a short squeeze.
Red Background: Triggered when TICK Low drops below -1000. Represents extreme panic selling (Washout), often serving as a potential signal for an intraday reversal or a short-term bottom.
Custom Settings:
All thresholds (800 reference lines, 1000 alert lines) are fully adjustable in the settings.
All colors (Candles, Reference Lines, Background Alert Colors) can be customized.
Use Cases: This tool is ideal for intraday counter-trend or trend-following trading when combined with Price Action analysis and key Support & Resistance levels.
BBWW 2.0 Revised EN# Expert Review: BBWW 2.0 (Bollinger Bands Wing Waves)
**Verdict:** This is not just an indicator, but a full-fledged **system for visualizing market regimes**. Unlike standard Bollinger Bands, which only show volatility and deviation, BBWW 2.0 decodes **crowd psychology**, separating price movements into momentum phases (Fear/Greed) and decay phases (Correction).
This is a tool for **trend** and **swing** traders operating on volatility breakouts.
---
## How It Works: Under the Hood
At its core lies the classic mathematics of standard deviation, enhanced by advanced digital filters (Gaussian, Butterworth, SWMA).
The main "feature" of the indicator is the **Wing Waves** algorithm, which analyzes three vectors simultaneously:
1. Direction of the Basis (central line).
2. Dynamics of the Upper Band (expansion/contraction).
3. Dynamics of the Lower Band (expansion/contraction).
The combination of these vectors creates 4 market states:
### 1. Greed Impulse (Color: Olive)
* **Logic:** Basis rising + Channel expanding upwards.
* **Meaning:** Aggressive buying. Volatility is increasing in the direction of the trend. This is the most profitable phase for holding long positions. Shorting here is suicide.
### 2. Greed Correction (Color: Maroon)
* **Logic:** Basis is still rising, but the lower band has started to pull up (volatility contraction).
* **Meaning:** Buyers are exhausting, taking profits. Momentum has faded, the market is drifting or preparing for a reversal.
### 3. Fear Impulse (Color: Fuchsia)
* **Logic:** Basis falling + Channel expanding downwards.
* **Meaning:** Panic selling. Strong downward impulsive movement. The best time to hold shorts or stay out of the market (for spot).
### 4. Fear Correction (Color: Teal)
* **Logic:** Basis falling, but the upper band has started to decline (contraction).
* **Meaning:** "Dead cat bounce" or bottom stabilization. Sellers are closing positions, volatility is dropping. Dangerous to open new shorts.
---
## Trading Strategies and Recommendations
As a professional trader, I recommend using BBWW 2.0 as follows:
### Strategy 1: "Surfing the Waves" (Trend Following)
Works perfectly on 1H, 4H, and 1D timeframes.
* **ENTRY:** Enter a trade when a "Correction" phase changes to an "Impulse" phase.
* *Long:* Change from Maroon (Correction) → to Olive (Greed). This is a signal that consolidation is over and the trend has resumed.
* *Short:* Change from Teal (Correction) → to Fuchsia (Fear).
* **EXIT:** As soon as the color changes to a correction phase, tighten your stop-loss or take partial profits.
### Strategy 2: "The Squeeze"
BBWW excels at showing moments when the spring is coiling.
* If you see a prolonged period of "Correction" (bands narrowing), and price is squeezed between the Basis and one of the bands — get ready for a breakout.
* Use **Basis Line touches** during a trend as an entry point to add to a position. In a strong trend, price often tests the middle (Basis) and bounces off it.
### Strategy 3: Noise Filtering
* Enable **Gaussian** or **Butterworth** filter in settings instead of the standard SMA. This removes market noise and provides a smoother Basis Line, reducing false signals in sideways markets (flat).
---
## Nuances and Risks
1. **Sideways Market (Flat):** Like any trend tool, BBWW will give false signals in a narrow range. Colors will change frequently, and bands will be horizontal.
* *Solution:* Do not trade if the Basis Line is flat (horizontal). Wait for a slope.
2. **Lag:** Any MA (Moving Average) has lag. The signal for a phase change (e.g., start of Fear) comes when the move has already started. Do not try to catch the absolute tops and bottoms. Capture the "body" of the move.
3. **Period Settings:**
* For scalping (5m-15m): Reduce period to 14-16.
* For medium-term (4H-1D): Leave at 20 or increase to 50 to filter for the global trend.
### Summary
BBWW 2.0 is a powerful visual assistant. It removes the emotional component of trading by answering the main questions: *"Is it greed or fear right now?"* and *"Is volatility rising or falling?"*.
**Best Application:** Cryptocurrencies and volatile stocks, where pump and dump phases (volatility expansions) are most pronounced.
[Algoros] BTC Major Trendline# BTC Major Trendline - Long-Term Bitcoin Trend Analysis
## Overview
BTC Major Trendline is a comprehensive technical analysis tool designed to track Bitcoin's long-term bullish trajectory using historically significant price points. This indicator establishes a primary upward trendline anchored to two major Bitcoin cycle lows, along with optional parallel channels and Fibonacci-based price projections.
## ⚠️ Important Requirements
**This indicator requires a Bitcoin chart with sufficient historical data dating back to at least April 2013.**
**✅ Recommended Charts:**
- `INDEX:BTCUSD` - Bitcoin Index (comprehensive history)
- `BITSTAMP:BTCUSD` - Bitstamp Bitcoin (default setting)
**❌ Will NOT work properly on:**
- Charts with limited history (Like hourly charts)
- Exchanges that launched after 2013
- Altcoin pairs or other cryptocurrencies
If the indicator doesn't display correctly, switch to one of the recommended Bitcoin charts above.
## Key Features
### 📈 Primary Trendline
- Anchored to two historically significant lows:
- **Start Point**: July 6, 2013 - Early Bitcoin accumulation phase
- **End Point**: November 21, 2022 - FTX collapse bottom
- Automatically calculates and extends the trendline based on these anchor points
- Displayed as a solid orange line
### 🔷 Parallel Channel Line (Optional)
- Creates an upper boundary by connecting historical high points:
- April 10, 2013 and June 11, 2017
- Helps identify potential resistance zones and channel breakouts
- Displayed as a blue dotted line for easy distinction
### 🎯 Fibonacci Trendline Multipliers (Optional)
- Seven Fibonacci-based projection lines: **1.6x, 2x, 3x, 5x, 8x, 13x, and 21x**
- Each multiplier creates a parallel trendline above the main trend
- Color-coded from teal to maroon for clear visual separation
- Useful for identifying potential profit-taking zones and long-term price targets
### 📉 Negative Fibonacci Trendlines (Optional)
- Seven division-based support lines: **÷1.6, ÷2, ÷3, ÷5, ÷8, ÷13, and ÷21**
- Projects downward channels below the main trendline
- Displayed in yellow tones for easy identification
- Helps identify extreme oversold conditions and potential bounce zones
## Customization Options
- **Symbol Input**: Track any Bitcoin pair with sufficient history (default: BITSTAMP:BTCUSD)
- **Show/Hide Components**: Toggle parallel line, Fibonacci multipliers, and negative Fibonacci lines independently
- **Line Extension**: Extend lines right, left, both directions, or none
- **Multi-Timeframe Compatible**: View on any timeframe once loaded on a compatible chart
## How to Use
1. **Setup**: First, open a Bitcoin chart with sufficient history (INDEX:BTCUSD or BITSTAMP:BTCUSD recommended)
2. **Trend Confirmation**: The main orange trendline represents the long-term bullish trajectory. Price staying above this line suggests the bull market remains intact.
3. **Channel Trading**: Use the parallel line (blue dotted) as a potential upper boundary for the long-term channel.
4. **Price Targets**: Enable Fibonacci multiplier lines to identify ambitious long-term price targets during bull runs. Higher multipliers (13x, 21x) represent parabolic extension zones.
5. **Support Identification**: Enable negative Fibonacci lines to spot potential support zones during corrections or bear markets.
6. **Risk Management**: Breaking below the main trendline could signal a shift in long-term trend, warranting caution.
## Technical Implementation
- Uses `request.security()` to fetch precise daily prices at historical timestamps
- Requires access to Bitcoin price data from April 2013 onwards
- Calculates slope dynamically based on anchor points
- All lines update in real-time as new price data emerges
- Efficient rendering system minimizes performance impact
## Best Used For
✅ Long-term Bitcoin investors and HODLers
✅ Identifying major trend direction
✅ Setting realistic long-term price targets
✅ Spotting potential support/resistance zones
✅ Multi-timeframe analysis (on compatible charts)
✅ Educational purposes (understanding logarithmic growth)
## Troubleshooting
**Lines not appearing?**
- Ensure you're viewing INDEX:BTCUSD or BITSTAMP:BTCUSD
- Check that the chart has data back to April 2013
- Verify the symbol input matches your chart
- Try switching to a daily or weekly timeframe first
IMS 4H Structural Framework (MA / Pivot / MTF Levels)IMS 4H Structural Framework (MA / Pivot / MTF Levels)
✅ SHORT, COMPLIANT DESCRIPTION (Invite-Only Safe)
Description:
This tool visualizes a 4H Institutional Market Structure (IMS) framework by combining three workflow components into a single structural map—MA-based bias shifts, pivot-derived 4H trendlines, and multi-timeframe (1H/45m) structural levels.
It does not generate signals or performance claims.
The framework is designed purely for visual, discretionary analysis of structural flow, risk context, and higher-timeframe alignment.
Core Components:
• 4H Bias Shift (MA): Highlights directional bias transitions.
• 4H Trendlines (Pivot-Based): Shows structural slopes and reaction zones.
• MTF Levels (1H & 45m): Adds micro-structure inside the 4H box for refinement.
• Caution Zones: Marks potential reaction areas near support/resistance or trendlines.
• Dashboard: Displays bias context and educational guidance only.
Intended Use:
For traders who analyze 4H structural flow and wish to visualize bias, context, and multi-timeframe alignment—not for automation or signals.
________________________________________
✅ SHORT, SAFE DISCLAIMER (Invite-Only Approved)
Disclaimer:
This tool is for educational and informational purposes only.
It does not provide trading signals, financial advice, or performance guarantees.
All decisions remain solely with the user.
