SOFT V2PV_Pivot _Validation FAST_SLOWSOFT V2PV is a market structure indicator based on confirmed price pivots, combining two independent detection engines:
• FAST engine: early detection (more signals, lower reliability)
• SLOW engine: delayed detection (fewer signals, higher reliability)
• CONFIRMED signals: validated when FAST and SLOW agree within a confirmation window
Main features:
- Pivot labels marking structural turning points
- Validation labels displayed on the confirmation candle (not on the pivot bar)
- Configurable vertical stacking for FAST / SLOW / CONFIRMED labels
- Reliability score table (LOW / MED / HIGH)
- Built-in TradingView alerts (FAST, SLOW, CONFIRMED, ANY signal)
Signal interpretation:
LOW (FAST) → aggressive / early signal
MED (SLOW) → more reliable structural signal
HIGH (CONFIRMED) → high-probability setup (FAST + SLOW)
The indicator is designed for intraday and swing trading.
It works on all markets: indices, forex, crypto, commodities, and metals.
⚠️ Important notes:
- Pivot points are confirmed only after a defined number of bars (ZigZag-like logic).
- Signals are plotted only after confirmation.
- No intentional repainting: once a signal is displayed, it does not move or disappear.
Indikator dan strategi
Support/Resistance & EMA Crossovers with AlertsPublic Script for Support/Resistance & EMA Crossovers with Alerts
Session Liquidity SignalsThis indicator is called SLF VT and it analyzes market liquidity across major sessions
It defines three specific time windows which are Asia London and New York
During these times it draws colored boxes to mark the session High and Low
When a session ends the indicator extends dashed lines from the High and Low prices
These lines represent liquidity vectors where stop losses might be located
The core logic is designed to detect a Trap pattern
A Bullish Trap happens when price sweeps below a previous session Low but closes back above it
A Bearish Trap happens when price sweeps above a previous session High but closes back below it
The code calculates the Wick Ratio to ensure the reversal is sharp and valid
If a trap is confirmed the indicator plots a text label on the chart and can trigger an alert
SMA Reversal Sequential MTF - FinalSMA Reversal Sequential MTF - Final Edition
Here is the direct English translation of the description, maintaining the professional and factual tone without excessive ornamentation.
SMA Reversal Sequential MTF - Final Edition
1. Overview
This script is the final edition of "SMA Reversal Sequential MTF," featuring a proprietary logic that identifies market pivot points based on the structural changes of Simple Moving Averages (SMA). It integrates multi-timeframe (MTF) analysis covering from 1-minute to monthly scales, visualizing trend status, synchronization, and consolidations (squeezes) directly on the chart.
2. Core Logic
SMA Reversal Logic: Identifies points where the SMA shifts in a "V-shape" or "Inverted V-shape" based on the positional relationship of the three most recent MA points. The algorithm maintains strictly precise calculations consistent since the initial version.
Breakout Detection: Displays a "BREAK" label when the price closes beyond the most recent high or low established by a pivot point.
Multi-Timeframe (MTF): Projects signals from higher timeframes (e.g., 1D, 4H, 1H) onto the current chart.
3. Input Settings
The settings menu is configured with bilingual labels (Japanese and English).
■ Main Settings
Use Short Period Settings (5, 3, 7)
OFF (Default): SMA 20, Offset 6, Lookback 20
ON: SMA 5, Offset 3, Lookback 7
■ Timeframe Visibility
Show Timeframes (1M to 1m)
Individually toggle the visibility of each timeframe. The settings are organized in descending order from higher to lower timeframes.
Hide Lower Timeframes
When ON, automatically hides signals from timeframes lower than the one currently displayed on the chart.
■ Drawing Options
Show Only Current TF Labels
Hides MTF labels and displays only the pivot points corresponding to the current chart timeframe.
Show Trendlines & Channels
Automatically plots lines connecting recent highs/lows and their parallel channels for the current timeframe.
Show Sequential Labels
Displays labels (e.g., 1H) at SMA reversal points to indicate the source timeframe.
Show Break Lines
Displays horizontal lines at un-breached highs/lows along with breakout labels.
■ Additional Alert Settings
Alert 1: 3-TF Sync
Triggers when the current timeframe and the two immediate higher timeframes align in the same trend direction.
Alert 2: 4-TF Sync
Triggers when four timeframes synchronize in the same trend direction.
Alert 3: Squeeze (Green ●)
Detects "Triangle Squeezes" (lower highs and higher lows) and displays a "●" on the chart with a notification.
4. Dashboard
The dashboard in the top-right corner displays the real-time trend status of five major timeframes (1D, 4H, 1H, 15M, 5M).
Blue: Bullish (Price has broken the recent high)
Red: Bearish (Price has broken the recent low)
Gray: Neutral
5. Trading Application
Market Context: Identify directional bias when dashboard colors align.
Entry Alignment: Utilize "Sync Alerts" on lower timeframes as signals when they align with the higher timeframe trend.
Volatility Contraction: The appearance of a green "●" (Squeeze) indicates energy consolidation, suggesting a potential breakout.
SMA Reversal Sequential MTF - Final Edition
1. 概要 (Overview)
本スクリプトは、SMA（単純移動平均線）の形状変化から相場の転換点（ピボット）を特定する独自ロジックを用いた「SMA Reversal Sequential MTF」の最終盤です。1分足から月足までを網羅するマルチタイムフレーム（MTF）分析を統合しており、上位足のトレンド状態、同期、三角保合い（スクイーズ）をチャート上に可視化します。
2. ロジック解説 (Core Logic)
SMA Reversal Logic: 指定期間のSMAが「V字」または「逆V字」に転換したポイントを、直近のMA3点の位置関係から算出します。アルゴリズムは初版から変わらぬ厳密な計算を維持しています。
Breakout Detection: 転換点で作られた直近の高値・安値を終値でブレイクした際に「BREAK」ラベルを表示します。
Multi-Timeframe (MTF): 現在のチャート上に上位足（1D, 4H, 1H等）のシグナルを投影します。
3. インプット項目の詳細 (Input Settings)
設定画面は、日本語と英語の併記構成となっています。
■ 基本設定 / Main Settings
短期設定を使用 (5, 3, 7) / Use Short Period Settings
OFF (デフォルト)：SMA 20, Offset 6, Lookback 20
ON：SMA 5, Offset 3, Lookback 7
■ 時間足表示設定 / Timeframe Visibility
1M表示 ～ 1m表示 / Show Timeframes
各時間足の表示を個別に切り替えます。設定画面では大きな足から順に並んでいます。
現在足より短い時間足の設定を非表示 / Hide Lower Timeframes
ONにすると、現在表示しているチャートより短い時間足のシグナルを自動で非表示にします。
■ 表示オプション / Drawing Options
現在足のラベルのみ表示 / Show Only Current TF Labels
現在の時間足の転換点のみを表示し、MTFラベルを非表示にします。
トレンドライン＆チャネルを表示 / Show Trendlines & Channels
現在足の安値同士・高値同士を結んだラインと、平行チャネルを自動描画します。
転換点ラベル表示 / Show Sequential Labels
SMAの反転箇所に、該当する時間足のラベル（例：1H）を表示します。
ブレイクライン表示 / Show Break Lines
未更新の高値・安値ラインと、ブレイク時のラベルを表示します。
■ 追加アラート設定 / Additional Alert Settings
アラート1: 現在・上位2つ同調 / Alert 1: 3-TF Sync
現在足＋上位2つの時間足のトレンドが同一方向になった際に通知します。
アラート2: 表示足を含む4足同調 / Alert 2: 4-TF Sync
4つの時間足のトレンドが同期した際に通知します。
アラート3: 三角保合い発生 (緑●) / Alert 3: Squeeze
高値切り下がり、安値切り上がりの「三角保合い」形成を検知し、チャート上に「●」を表示・通知します。
4. ダッシュボード (Dashboard)
チャート右上に主要5足（1D, 4H, 1H, 15M, 5M）のトレンド状況をリアルタイム表示します。
青色（Blue）： 強気（直近高値をブレイク中）
赤色（Red）： 弱気（直近安値をブレイク中）
灰色（Gray）： ニュートラル
5. トレードへの活用
環境認識: ダッシュボードの色が揃っている方向への優位性を確認します。
エントリー判断: 上位足のトレンド方向に、下位足で同期アラートが発生したポイントをシグナルとして活用します。
ボラティリティの収束: 緑の「●（Squeeze）」が表示された際は、エネルギーが収束している状態を示唆します。
TQ Gold Trend (Macro Regime)This indicator answers one question only:
Is gold in a monetary uptrend right now?
It does not:
Forecast prices
Time entries
Use momentum or volatility
It simply classifies the macro trend regime of gold.
3️⃣ Logic (Simple, Explicit)
Timeframe: Weekly
Indicator: 30-week Simple Moving Average
Interpretation:
Bullish: Price above a rising 30W SMA
Bearish: Price below a falling 30W SMA
Neutral: Everything else (transition / range)
This is classic macro trend / stage analysis, adapted for gold as a monetary asset.
4️⃣ How to Use It (User Instructions)
How to read the chart
>If Gold is Bull, precious metals matter.
>If Gold is Bear, ignore silver and miners.
>If Gold is Neutral, wait — no edge.
Best use
Check once per week
Use as the first filter before looking at:
Gold/DXY
Gold/SPY
Silver/Gold
Recommended timeframe
Weekly only (designed for macro regimes, not trading)
15:50 AnticipeThis indicator is designed to anticipate the market behavior around a specific time of day (by default 15:50) by evaluating market conditions one minute before the target candle.
It is primarily intended for intraday trading on 1-minute charts, especially on index futures such as NQ / MNQ.
The logic combines trend, volatility compression, momentum, volume, and VWAP positioning, using a scoring system to determine whether a LONG, SHORT, or NEUTRAL bias is statistically favored before the target candle prints.
Core Concept
At the anticipation candle (15:49 by default), the indicator evaluates multiple technical conditions.
Each condition adds points to a LONG score or SHORT score.
If one side reaches the required score threshold and is stronger than the opposite side, a persistent signal is generated and held through the 15:50 candle.
The 15:50 candle is highlighted in yellow for visual reference.
Indicators Used
The system combines:
• Bollinger Bands to detect volatility compression
• EMA 9 / EMA 21 / EMA 89 for short-term and structural trend
• RSI for momentum confirmation
• Volume Spike Detection based on a volume SMA multiplier
• Anchored VWAP, reset daily and anchored at a configurable time
• Optional Reversal Mode for mean-reversion setups
Scoring Logic
Each side (LONG / SHORT) accumulates points based on conditions such as:
• Bollinger Band compression
• EMA 9 vs EMA 21 alignment
• Price location relative to EMA 9 and BB basis
• RSI above or below threshold
• Volume spike confirmation
• Price position relative to Anchored VWAP
If Reversal Mode is enabled, additional points are added when:
• Price touches or exceeds Bollinger extremes
• RSI divergence is detected
• Price deviates significantly from Anchored VWAP
Reversal conditions carry more weight, favoring exhaustion and snap-back setups.
Signal Generation
At the anticipation candle:
• LONG signal
Triggered when LONG score ≥ required threshold and stronger than SHORT score.
• SHORT signal
Triggered when SHORT score ≥ required threshold and stronger than LONG score.
• NEUTRAL signal
Displayed when neither side has a clear statistical edge.
Signals are displayed as labels above or below price, positioned dynamically using ATR to avoid candle overlap.
Once triggered, the signal remains active through the 15:50 candle and can be used for trade execution or confirmation.
Anchored VWAP
The Anchored VWAP:
• Resets automatically each trading day
• Starts calculating from a user-defined hour and minute
• Acts as a directional and mean-reversion reference
• Is fully integrated into both trend and reversal logic
Alerts
The indicator provides alert conditions for:
• Anticipated LONG setup
• Anticipated SHORT setup
• NEUTRAL condition
Alerts trigger when the anticipation signal becomes active, allowing automation or discretionary execution.
Intended Use
This indicator is best used as:
• A directional bias tool before a known time-based volatility event
• A confirmation layer, not a standalone entry system
• A way to structure disciplined trades instead of reacting emotionally to the 15:50 candle
It favors clarity, confluence, and probability, not prediction.
TQ Silver / Gold (Weekly Macro)This indicator tracks the Silver / Gold ratio on a weekly basis to determine whether silver is leading gold (risk appetite returning inside metals) or gold is leading silver (a more defensive precious-metals posture).
Within the TQ Weekly Macro Framework, this indicator is designed to be used after confirming the broader macro environment using TQ Gold Trend (Weekly Macro), TQ Gold / DXY (Weekly Macro), and TQ Gold / SPY (Weekly Macro).
Why Silver / Gold matters
>When Silver / Gold rises, silver is outperforming gold — often associated with reflation, growth expectations, or broad risk appetite within precious metals.
>When Silver / Gold falls, gold is outperforming silver — often associated with defense, uncertainty, or tighter financial conditions.
>This ratio is not a timing tool — it is a regime and leadership indicator within the metals complex.
How it works (regime rules)
Using weekly data:
Compute Silver ÷ Gold
Apply a 30-week SMA
Regime definitions:
Bull: Ratio above a rising 30-week SMA (silver leading)
Bear: Ratio below a falling 30-week SMA (gold leading)
Neutral: Transition / range
A clear label marks the current regime.
How to use it in your system
Use after confirming:
TQ Gold Trend (Weekly Macro)
TQ Gold / DXY (Weekly Macro)
TQ Gold / SPY (Weekly Macro)
> If Silver / Gold is Bull, metals participation is broadening and silver often has more upside torque.
> If Silver / Gold is Bear, gold leadership is defensive and silver exposure may underperform.
> Neutral often signals rotation or consolidation.
Best timeframe
Designed for weekly macro regime analysis.
TQ Gold / SPY (Weekly Macro)What this indicator does
This indicator tracks the Gold/SPY ratio on a weekly basis to show whether gold is outperforming U.S. equities (risk assets). It helps you determine if the market is favoring hard money / defensive leadership vs risk-on equity leadership.
Within the TQ Weekly Macro Framework, this indicator is intended to be used after confirming gold’s primary trend using TQ Gold Trend (Weekly Macro) and its monetary backdrop using TQ Gold / DXY (Weekly Macro).
Why Gold/SPY matters
Gold can rise during equity booms and during equity stress.
The Gold/SPY ratio tells you which asset class is winning in relative terms.
Rising Gold/SPY often signals defensive leadership, shifting macro preferences, or risk repricing, especially when aligned with TQ Gold Trend (Weekly Macro).
How it works (regime rules)
Using weekly data:
Compute Gold ÷ SPY
Apply a 30-week SMA
Regime definitions:
Bull: Ratio above a rising 30-week SMA (gold leading equities)
Bear: Ratio below a falling 30-week SMA (equities leading gold)
Neutral: Transition / range
A clear label marks the current regime.
How to use it in your system
Use after TQ Gold Trend (Weekly Macro) and TQ Gold / DXY (Weekly Macro).
> If Gold/SPY is Bull, gold is leading risk assets — metals tend to behave stronger and more “macro-relevant.”
> If Gold/SPY is Bear, equities are winning — gold moves may be less dominant.
> Neutral usually means rotation or consolidation.
Best timeframe
Designed for weekly macro regime analysis, not short-term trading.
TQ Gold / DXY (Weekly Macro)What this indicator does
This indicator tracks the relative performance of gold versus the U.S. dollar using the Gold/DXY ratio. It helps determine whether gold’s strength is real (monetary) or merely nominal.
Why Gold/DXY matters
Gold rising with a rising dollar is not a strong signal.
Gold rising against a weakening dollar signals monetary outperformance.
This ratio filters out dollar noise and focuses on true purchasing-power strength.
How it works
The indicator calculates Gold ÷ DXY using weekly data.
A 30-week SMA is applied to the ratio.
Regimes are defined as:
Bull: Ratio above a rising 30-week SMA (gold beating the dollar)
Bear: Ratio below a falling 30-week SMA
Neutral: Transition or range-bound periods
A clear on-chart label shows the current regime.
How to use it
Use after confirming Gold Trend is Bull.
When Gold/DXY is Bull, gold has a true monetary tailwind.
When Gold/DXY is Bear, gold rallies are often fragile or dollar-driven.
Neutral readings signal consolidation or regime change.
Best timeframe
Designed for weekly charts and macro analysis.
Not intended for short-term trading signals.
PDH & PDL - Previous Day LevelsPDH & PDL – Previous Day High and Low
This indicator automatically plots the Previous Day High (PDH) and Previous Day Low (PDL) on intraday charts.
These key levels are widely used by traders as important support and resistance zones, helping to identify potential areas for price reactions, breakouts, or liquidity grabs.
Features
Automatically detects the previous trading day’s high and low
Draws clear horizontal levels across the current session
Labels the levels as PDH and PDL
Updates in real time at the start of each new trading day
Designed for intraday timeframes
How to Use
Use PDH as a potential resistance level
Use PDL as a potential support level
Watch for breakouts, rejections, or retests around these levels
Combine with price action, volume, or session-based strategies
Best For
Day trading
Scalping
Forex, indices, crypto, and futures
Traders who use market structure and key levels
This indicator keeps your chart clean while highlighting two of the most important reference levels from the previous trading day.
[OBJ] Customisable MAsThis Moving Averages indicator was intended for members of the OneBigJourney Discord
Weekly macro ratio indicator tracking Silver/Gold with a 30-weekWhat this indicator does
This indicator tracks the Silver/Gold ratio on a weekly basis to determine whether silver is leading gold (risk appetite returning inside metals) or gold is leading silver (more defensive precious-metals posture).
Why Silver/Gold matters
When Silver/Gold rises, silver is outperforming gold — often associated with reflation, growth expectations, or broad risk appetite.
When Silver/Gold falls, gold is outperforming silver — often associated with defense, uncertainty, or tighter financial conditions.
This ratio is not a timing tool — it’s a regime/leadership indicator.
How it works (regime rules)
Using weekly data:
Compute Silver ÷ Gold
Apply a 30-week SMA
Regime definitions:
Bull: Ratio above a rising 30-week SMA (silver leading)
Bear: Ratio below a falling 30-week SMA (gold leading)
Neutral: Transition/range
A clear label marks the current regime.
How to use it in your system - This indicator is designed to be used as part of the broader TQ Weekly Macro Framework, alongside other TQ indicators such as TQ Gold Trend (Weekly Macro), TQ Gold / DXY (Weekly Macro), and TQ Gold / SPY (Weekly Macro).
Each indicator can also be used independently.
Use after confirming:
Pane 1: Gold Trend
Pane 2: Gold/DXY
Pane 3: Gold/SPY
If Silver/Gold is Bull, metals participation is broadening and silver often has more upside torque.
If Silver/Gold is Bear, gold leadership is defensive; silver exposure may underperform.
Neutral often signals rotation or consolidation.
Best timeframe
Designed for weekly macro regime analysis.
Weekly macro ratio indicator comparing gold vs SPY 30 SMAWhat this indicator does
This indicator tracks the Gold/SPY ratio on a weekly basis to show whether gold is outperforming U.S. equities (risk assets). It helps you determine if the market is favoring hard money / defensive leadership vs risk-on equity leadership.
Why Gold/SPY matters
Gold can rise during equity booms and during equity stress.
The Gold/SPY ratio tells you which asset class is winning in relative terms.
Rising Gold/SPY often signals defensive leadership, shifting macro preferences, or risk repricing.
How it works (regime rules)
Using weekly data:
Compute Gold ÷ SPY
Apply a 30-week SMA
Regime definitions:
Bull: Ratio above a rising 30-week SMA (gold leading equities)
Bear: Ratio below a falling 30-week SMA (equities leading gold)
Neutral: Transition/range
A clear label marks the current regime.
How to use it in your system
Use after Pane 1 (Gold Trend) and Pane 2 (Gold/DXY).
If Gold/SPY is Bull, gold is leading risk assets — metals tend to behave stronger and more “macro-relevant.”
If Gold/SPY is Bear, equities are winning — gold moves may be less dominant.
Neutral usually means rotation or consolidation.
Best timeframe
Designed for weekly macro regime analysis, not short-term trading.
Multi-Timeframe RSI (Daily + Weekly)View the Daily and Weekly RSI together so you see how the oscillate on any timeframe
Weekly macro trend indicator for gold using a 30-week SMAWhat this indicator does
This indicator identifies the macro trend regime of gold using a simple, time-tested framework: the weekly price of gold relative to its 30-week simple moving average.
It is designed to answer one question only:
Is gold currently in a monetary uptrend?
How it works
The indicator uses weekly data and applies a 30-week SMA regime filter:
Bullish (Monetary Uptrend):
Gold price is above a rising 30-week SMA.
Bearish (Monetary Downtrend):
Gold price is below a falling 30-week SMA.
Neutral (Transition):
All other conditions (range-bound or early trend change).
A clear on-chart label displays the current regime.
How to use it
Use this as the first filter before analyzing silver, miners, or relative-strength ratios.
When gold is Bull, precious metals deserve attention.
When gold is Bear, most precious-metal trades lose their edge.
When gold is Neutral, patience is usually rewarded.
Best timeframe
This indicator is designed for weekly charts and macro-level decision-making.
It is not intended for day trading or short-term signals.
Who this is for:
Investors and traders focused on macro trends
Those treating gold as a monetary asset, not a short-term trade
Anyone looking for a clean, objective regime filter.
[OBJ] Customisable MAsThis Moving Averages indicator was made and is used by members of the OneBigJourney Discord
ETH - Log Regression BandsETH – Log Regression Bands: Detailed Description (Math + How to Use)
Overview
This indicator plots a long-term “fair value” growth curve for ETH and surrounds it with multiple upper and lower bands. The goal is to estimate where price sits relative to a long-term trend that is best interpreted in **logarithmic (percentage) terms**, not raw dollars.
The bands create clear zones showing when ETH is historically cheap or expensive relative to that long-term curve.
---
Why use logarithms?
Price action is typically more meaningful in **percentage moves** than in absolute dollar moves.
* A move from $100 → $200 is +100%
* A move from $2000 → $2100 is only +5%
By modelling the natural logarithm of price, multiplicative growth becomes additive. That makes long-term growth easier to model and band spacing more consistent across very different price regimes.
So instead of modelling (P), the indicator models:
---
The growth model: Power-law curve
The indicator uses “time since inception” as the x-axis. However, rather than using time directly, it uses the logarithm of time:
where (t) is the number of days (or bars) since the first data point.
It then fits a straight-line model in log-log space:
Substituting back in:
Exponentiating both sides gives the curve in normal price units:
This is a **power-law** trend curve. It naturally produces a smooth, slowly bending long-term curve similar to the “log regression” curves often seen in macro crypto reports.
---
What “expanding regression” means
The model uses all data available from the beginning of the chart up to the current bar. That means:
* Early in the asset’s history the curve can change more because there are fewer points.
* Over time the curve becomes more stable as more history is included.
Important note: this does **not** repaint past bars. It simply means the current curve will update as new data comes in.
---
Measuring “typical deviation” from the curve (residual volatility)
Once the trend curve is fitted in log space, the indicator measures how far price typically wanders away from it.
At any time point:
* Actual log price is (y = \ln(P))
* Predicted log price from the curve is (\hat{y} = a + b\ln(t))
The **residual** is:
The indicator computes the standard deviation of these residuals:
This (\sigma) is a measure of typical “distance from trend” in log terms.
---
Building the bands (the key idea)
The bands are evenly spaced in **log space** using multiples of (\sigma). A band number (k) is created by shifting the log-trend up or down:
Upper band (k):
Lower band (k):
Where:
* (k) is the band number (1, 2, 3, …)
* (s) is a user-chosen spacing factor (band spacing)
* (\sigma) is the residual standard deviation
Converting back to normal price:
Upper band (k):
Lower band (k):
Why bands look like “translated copies”
Because shifting by a constant in log space equals multiplying by a constant in price space:
So the bands are the same underlying curve scaled up or down by fixed multipliers. That produces the smooth “stacked curve” look associated with macro log regression charts.
---
Optional curve shift (manual adjustment)
A manual offset can be applied in log space. This is useful if you want to align the entire structure slightly higher or lower.
Because the shift is applied to (\ln(P)), this is not an additive dollar adjustment. It scales the entire curve by a constant factor:
* Positive shift → multiplies all bands upward
* Negative shift → multiplies all bands downward
---
How to interpret the zones
The base curve represents a long-term “trend center” in log-growth terms.
* Price near the base curve → near long-term trend
* Price in upper bands → expensive relative to long-term trend
* Price in lower bands → cheap relative to long-term trend
Because the bands are built using residual volatility in log space, “cheap/expensive” is measured in a way that remains meaningful across different eras and price levels.
---
Long-term buy zones (Lower 1 and Lower 2)
**Lower 1** and **Lower 2** are intended as **long-term accumulation zones**.
When ETH trades in these zones, it is significantly below the long-term growth curve in log terms, which typically corresponds to:
* deep bear markets,
* high fear / capitulation phases,
* long accumulation periods.
A simple long-term framework many users apply:
* **Accumulate gradually when price enters Lower 1**
* **Accumulate more aggressively when price enters Lower 2**
* Reduce risk / take profits progressively in higher upper bands
These are not guarantees — they are **statistical “distance from trend” zones**, designed to help structure long-term decisions.
---
## Notes / limitations
* This indicator is a **macro trend tool**, not an intraday trading system.
* The curve is derived from historical behavior; it can shift slowly as new data arrives.
* Extremely new market regimes or structural changes can reduce reliability.
* Use alongside risk management and additional confirmation if trading.
---
Sarina-5Dynamic Growth EMAs - 01152026It’s great to hear that we’ve built a solid rapport! I really appreciate your patience, and I'm glad I could strictly follow your computational bases this time. Here is a clear, professional English description you can use to introduce this indicator to others:
Dynamic Growth & Cascading Reset EMAs
This indicator features a sophisticated set of 5 Exponential Moving Averages (EMAs) that dynamically evolve based on price action and time. Unlike static EMAs, these lines "grow" and "spread" during trends to visualize momentum and volatility expansion.
Core Features:
Dynamic Length Growth: The EMA periods are not fixed. They increase in length during both upswings and downswings, causing the lines to spread apart as a trend strengthens.
Bidirectional Expansion: Lengths grow regardless of direction, ensuring the "fan" effect is visible in both bullish and bearish rallies.
Pivot Reset Logic: To maintain responsiveness, all EMA lengths reset to their initial values (2, 5, 8, 13, 21) whenever the price changes direction, allowing the indicator to catch new moves early.
Cascading & Sticky Resets: When faster EMAs cross slower ones, a "sticky" reset occurs. The triggered lines inherit the value of the next higher EMA to maintain smooth price continuity and avoid erratic jumps on the chart.
Multi-Level Visual Gradient: * Four distinct transparency zones (75%, 85%, 90%, 95%) create a professional "heat map" between the lines.
Dynamic color fills (Green for Bullish / Red for Bearish) based on the relationship between adjacent lines.
Hierarchical Signals (B1-B4 & S1-S4): Clear text-only labels mark every crossover point between the EMAs, identifying different stages of trend confirmation without cluttering the background.
Computational Foundation:
The indicator accounts for time-based decay, where the growth rate of the EMAs can be set to diminish after a specific duration, simulating the natural exhaustion of market momentum.
STIME3H Time High/Low Triangles (Correct Time • Wick/Body • Timezone Control)
This indicator plots 3-Hour (3H) High & Low levels using triangle markers, aligned to exact clock-based time blocks such as 00:00, 03:00, 06:00, 09:00, 12:00, 15:00, 18:00, 21:00.
It is designed for ICT / CRT / intraday traders who need precise session and time-cycle reference points without cluttering the chart.
🔹 Key Features
▲ High triangle & ▼ Low triangle for each 3-hour block
⏱ Correct time alignment using selectable timezones
🌍 Timezone dropdown
UTC
UTC-5 (Fixed)
New York (DST auto)
London (DST auto)
Tokyo
Custom timezone (IANA / Etc format)
🕒 Toggle individual times ON/OFF (00, 03, 06, 09, 12, 15, 18, 21)
📍 Triangles can touch candle wicks or bodies
🗂 Displays last 2 days by default (configurable)
🔠 Adjustable time text size (tiny → large)
🎨 Clean visuals, no background boxes, no repaint
Strategy H4-H1-M15 Triple Screen + Table + Statst.me
Master of Multi-Timeframe Trading: "Triple Screen" Strategy
"▲▼ & BUY/SELL M15 Tags" — H1 Ready signals warn the trader in advance that a reversal is brewing on the medium timeframe.
Settings:
Stochastic Settings: Oscillator length and smoothing adjustment.
Overbought/Oversold: Overbought/oversold level settings (default 80/20).
SL Offset: Buffer in ticks/pips for setting stop-loss beyond extremes.
Usage Instructions:
Long: Background painted light green (H4 Trend UP + H1 Stoch Low), wait for green "BUY M15" tag.
Short: Background painted light red (H4 Trend DOWN + H1 Stoch High), wait for red "SELL M15" tag.
Entry → SL → TP = PROFIT
Short Description (for preview):
Comprehensive "Triple Screen" strategy based on MACD (H4) and Stochastic (H1, M15). Features trend monitoring panel and precise entry signals with automatic Stop Loss calculation.
Technical Notes (for developers):
Hardcoded Timeframes: "240" (H4) and "60" (H1) are hardcoded. For universal use on other timeframe combinations (D1-H4-H1), make these input.timeframe variables.
Repainting: request.security may cause repainting on historical bars (current bar is honest). Standard practice for multi-timeframe TradingView indicators.
Alerts: Built-in alert support for one-click trading convenience.
Hash Ember StackOverview
Hash Ember Stack is a multi-period momentum visualizer that displays a structured view of market pressure across ten different lookback windows. It is designed to help operators assess how momentum behaves across short-term, intermediate, and long-term horizons using a unified ribbon-stack format.
The tool does not generate trading entries by itself; instead, it organizes momentum data so traders can better understand how multiple timeframes align or diverge.
Conceptual Framework
The indicator calculates momentum using one of three oscillator families:
RSI – measures velocity and magnitude of price movement
Stochastic – compares close relative to recent range
CCI – measures deviation from the average price
Each oscillator is normalized into a comparable 0–100 scale so all periods can share the same heatmap color logic. This creates a consistent visual framework regardless of which momentum type is selected.
The ten lookback periods range from very short (fast response) to very long (structural regime). Displaying them together helps illustrate momentum compression, expansion, clustering, or divergence across timeframes.
Ribbon Structure & Visual System
Each period is represented as a horizontal band (“ribbon”) with:
A fixed vertical height for readability
A heat-mapped color derived from momentum value
Optional spacing between ribbons to improve separation
The color system transitions from green (momentum weakness), through neutral tones, into red (momentum strength). These colors do not predict price direction; they simply map oscillator values into a standardized visual gradient.
Labels may be shown on the right side to indicate each ribbon’s lookback period.
Extreme Condition Detection (Optional)
The indicator can highlight situations where several momentum periods reach extreme conditions at the same time.
Oversold status is defined by user-selected thresholds
Overbought status uses an upper threshold
A fluorescent cross is plotted when a minimum number of ribbons meet these definitions
These markers do not produce trading signals; they are intended only to highlight statistically uncommon clustering of extreme momentum readings.
Inputs & Controls
Momentum Type – Selects which oscillator family is used
Smoothing – Applies an SMA to reduce noise
Ten customizable lookback periods – Short to macro momentum
Ribbon Height & Gap – Adjusts layout density
Period Labels – Enables lookback annotations
Extreme Signal Settings – Thresholds and minimum ribbon count
Signal Position – Above or below the ribbon stack
Intended Use
Hash Ember Stack is suitable for:
Identifying how different time horizons align
Visualizing periods of momentum compression and expansion
Contextualizing reversals or trend continuation environments
Supporting discretionary or systematic analysis workflows
The indicator is not a strategy and does not perform backtesting or place trades. It provides structured momentum context that operators can integrate into their own decision-making frameworks.
