External Market Structure from BBCits a external market structure from bbc for highs and lows for trend analysis
Candlestick analysis
Intraday Time-of-Day RVOL (histogram)intraday relative volume indicator, which can use for measuring the strength of breakout
NY Open 15M high low ( carrillos )This indicator marks the high and low of the first candle when the New York market opens, ideal for day trading.
Full Dashboard V21 - Time Left Color LogicTable (Multi timefram)
- show Trend
- show rsi
- show Stoch
- show prev candle (default hide)
- show curr candle (default hide)
- shows the time when the candlestick will close.
--can config show/hide all column
Graph
- show rsi 89/21
Signal
- show signal with tp/sl (default hide)
Ultra-Fast Scalp Predictor - By Herman Sangivera ( Papua )Ultra-Fast Scalp Predictor - By Herman Sangivera ( Papuan Trader )
Overview
Ultra-Fast Scalp Predictor is a high-speed technical indicator specifically engineered for scalpers and day traders. Built on Pine Script V6, this tool specializes in identifying "Squeeze" phases—periods of market compression—and predicting the direction of the upcoming "explosion" before it happens.
The Problem It Solves
Most scalping indicators suffer from two issues: they are either too slow (Lagging) or too sensitive (Fake Signals). This script solves both by using a "Preparation -> Prediction -> Execution" workflow.
How It Works
Phase 1: Squeeze Detection (The Setup) The script monitors the volatility "coil" using Bollinger Bands and Keltner Channels. A Gray Background indicates a Squeeze. This is where the market is sideways, building energy.
Phase 2: Momentum Velocity (The Prediction) While the price is still sideways, the script uses Linear Regression Momentum and Price Velocity.
Aqua Circle (Early Ready Up): Momentum is shifting bullish inside the squeeze.
Orange Circle (Early Ready Down): Momentum is shifting bearish inside the squeeze.
Phase 3: Fast Breakout (The Execution) Once the squeeze "fires" and price crosses the bands, the script triggers a FAST BUY or FAST SELL signal.
Key Features
No-Lag HMA: Uses a 12-period Hull Moving Average for ultra-responsive trend tracking.
Squeeze Logic: Prevents you from overtrading in a "dead" market.
Predictive Signals: The "Early Ready" dots give you a split-second advantage over other traders.
Visual Clarity: Clean labels and shapes designed for 1-minute and 5-minute timeframes.
How to Trade with This Indicator
Step 1 (The Wait): Wait for the gray background (Squeeze).
Step 2 (The Hint): Look for the Aqua or Orange dots. These are your "get ready" warnings.
Step 3 (The Entry): Enter as soon as the FAST BUY (Lime) or FAST SELL (Red) triangle appears.
Step 4 (The Exit): Exit when the HMA line changes color or use a 1:1.5 ATR-based risk/reward ratio.
Settings Explained
Fast HMA Length: Default is 12. Lower = Faster, Higher = Smoother.
Squeeze Length: Default is 20. Controls how sensitive the sideways detection is.
Multipliers: Adjust the BB and KC multipliers to tighten or loosen the breakout sensitivity.
Disclaimer: Scalping involves significant risk. This tool is designed to assist your analysis, not replace sound risk management. Always backtest on a demo account before trading live.
ICT Silver Only Toolkit (XAGUSD) No Baby ICTThis indicator is designed exclusively for Silver (XAGUSD) and applies core ICT concepts to help traders identify high-probability smart-money setups. It automatically plots the Asia session range, London and New York killzones, previous day high/low, equal highs and lows (liquidity pools), Asia liquidity sweeps, and ICT fair value gaps (FVGs).
The toolkit also includes “Do Nothing” warning labels to help traders avoid low-quality conditions such as trading outside killzones, extended pre-NY moves, or impulsive candles. Built for precision and patience, this indicator supports traders who wait for liquidity, displacement, and retracement rather than chasing price.
Best used on 1–15 minute charts during London and New York sessions.
No indicators for bias guessing. No scalping gimmicks. Just clean ICT structure for Silver.
EMA Squeeze Alert (ADR Filter)This indicators is for Pine Screener. You could use it on Pine Screener to filter out stocks with EMAs Convergence.
The EMAs used are EMA 9, EMA 12 and EMA 20.
When the current closing price is within 50% of 20-days ADR% from these three EMAs, it would give you an alert signal.
The way to use it is to apply it onto the Pine Screener.
You then select the watchlist you would like to filter out, and check the alert signal to True, and click scan.
If Condition is True, the candlesticks would have a green arrow below and the background is highlighted.
The script is published, feel free to amend it as you like
Have a Nice Day, and Trade Safe !
Trendlines with Breaks + Fib Lines ONLY15min and 3min fib line already marked 15min and 3min fib line already marked15min and 3min fib line already marked15min and 3min fib line already marked15min and 3min fib line already marked15min and 3min fib line already marked15min and 3min fib line already marked15min and 3min fib line already marked15min and 3min fib line already marked15min and 3min fib line already marked15min and 3min fib line already marked15min and 3min fib line already marked
Full Dashboard V18 - Pro PA & Column CustomizationTable (Multi timefram)
- show Trend
- show rsi
- show Stoch
- show prev candle (default hide)
- show curr candle (default hide)
- shows the time when the candlestick will close.
- can config show/hide all column
Graph
- show rsi 89/21
Signal
- show signal with tp/sl (default hide)
Terilss final EMA 20 Body Cross + 1:1 RR AlertEMA 20 Body Cross
EMA 20 Body Cross
EMA 20 Body Cross
EMA 20 Body Cross
Crypto MMFCrypto MMF Indicator:
The Crypto Money Flow (MMF) indicator represents an advanced technical analysis tool specifically designed for cryptocurrency markets. This document outlines the logical foundation for its component integration, explains the synergistic mechanisms between its constituent elements, and provides practical implementation guidance without making unrealistic performance claims.
Integration Rationale
Volume-Weighted Momentum Analysis
The primary integration rationale combines price momentum with trading volume—two fundamental market dimensions frequently analyzed in isolation. Traditional momentum oscillators like RSI measure price velocity but ignore transaction volume, potentially misrepresenting conviction behind price movements. By multiplying price changes by corresponding volume, the indicator creates a conviction-weighted momentum measure that distinguishes between high-volume breakouts and low-volume price fluctuations.
The theoretical foundation for this integration stems from market microstructure theory, which posits that volume accompanies informed trading. In cryptocurrency markets—where volatility is pronounced and manipulation attempts occur—volume confirmation provides valuable filtering of meaningful price movements from noise.
Multi-Timeframe Momentum Convergence
The second integration layer incorporates higher timeframe analysis, acknowledging that markets function across temporal hierarchies. While shorter timeframes offer precision for entry and exit timing, longer timeframes establish directional bias and filter out insignificant counter-trend movements. This multi-timeframe approach follows established technical analysis principles that prioritize trend alignment across time horizons.
This integration is particularly relevant for cryptocurrency traders, as these markets exhibit strong momentum characteristics where higher timeframe trends often dominate shorter-term fluctuations. The higher timeframe component serves as both a trend filter and early warning system for momentum divergences.
Component Synergy Mechanism
Core Calculation Components
Price-Volume Integration Engine
The indicator begins by calculating the average of open, high, low, and close prices (OHLC4), providing a balanced price representation less susceptible to intra-period anomalies. This value undergoes differencing to establish direction, then multiplies by volume to create volume-weighted momentum values. This transformation produces two separate data streams: upward volume-weighted momentum and downward volume-weighted momentum.
Exponential Smoothing Application
Both momentum streams undergo exponential smoothing using Wilder's Relative Moving Average methodology. This approach applies greater weight to recent observations while maintaining memory of historical patterns, striking an optimal balance between responsiveness and noise reduction. The smoothed upward and downward momentum values create a ratio representing the relative strength between buying and selling pressure.
Normalization Process
The momentum ratio undergoes mathematical normalization to produce a bounded oscillator ranging from 0 to 100. This normalization enables consistent interpretation across different market conditions, timeframes, and cryptocurrency pairs, establishing standardized overbought and oversold thresholds.
Multi-Timeframe Synchronization System
Hierarchical Timeframe Calculation
The indicator dynamically determines appropriate higher timeframes based on user-defined multipliers and current chart intervals. This automated calculation eliminates manual timeframe selection errors while ensuring logical temporal relationships between analyzed periods.
Cross-Timeframe Data Retrieval
A secure data retrieval mechanism accesses higher timeframe momentum calculations without introducing future bias or repainting. This process maintains data integrity while enabling direct comparison between current and higher timeframe momentum conditions.
Higher Timeframe Smoothing Layer
An additional exponential moving average smooths the higher timeframe data, reducing noise and creating a stable reference signal for divergence analysis. This smoothing parameter is independently adjustable, allowing users to balance sensitivity and stability according to their trading style.
Signal Generation Framework
Threshold-Based Zone Analysis
The indicator establishes three operational zones based on statistical observations of momentum extremes:
Neutral zone (25-75): Represents balanced market conditions
Lower extreme zone (0-25): Indicates potential oversold conditions
Upper extreme zone (75-100): Indicates potential overbought conditions
These threshold levels derive from empirical observations of momentum oscillator behavior in trending and ranging cryptocurrency markets, though optimal values may vary across different market regimes.
Conditional Signal Categorization
The system monitors four distinct momentum conditions:
Initial extreme readings: Momentum enters extreme zones without confirmation
Confirmed extremes: Smoothed momentum follows into extreme zones
Multi-timeframe alignment: Current and higher timeframe momentum move in concert
Multi-timeframe divergence: Current and higher timeframe momentum diverge
Each condition category carries different interpretive implications, with stronger signals emerging when multiple conditions converge.
Practical Implementation Guidelines
Functional Applications
Trend Confirmation Protocol
When price trends directionally with momentum maintaining consistent readings above or below the midpoint (50), and higher timeframe momentum confirms the direction, this suggests sustainable trend conditions. The volume-weighting component further validates whether significant trading activity supports the price movement.
Divergence Detection Methodology
Three divergence types merit monitoring:
Classic divergence: Price reaches new extremes while momentum fails to confirm
Hidden divergence: Price retraces within a trend while momentum suggests trend continuation
Timeframe divergence: Momentum moves opposite directions across timeframes
Divergence analysis proves most reliable when occurring in conjunction with other technical factors such as support/resistance levels or chart patterns.
Zone-Based Risk Assessment
The oscillator's bounded nature facilitates structured risk assessment:
Extreme zone entries: Higher potential reward but require confirmation
Neutral zone movements: Lower signal clarity but potentially favorable risk-reward ratios
Zone transitions: Often precede accelerated price movements
Parameter Configuration Philosophy
Core Parameter Settings
The default parameters balance responsiveness and reliability across diverse cryptocurrency market conditions. The 14-period calculation length aligns with conventional momentum oscillator standards, providing sufficient data for meaningful smoothing while maintaining sensitivity to recent market developments.
Multi-Timeframe Multiplier Selection
The default 3x multiplier creates meaningful temporal separation without introducing excessive lag. This multiplier proves particularly effective for swing trading horizons, though position traders may benefit from larger multipliers while shorter-term traders might reduce this value.
Smoothing Parameter Considerations
Dual smoothing parameters (primary and higher timeframe) allow independent adjustment of sensitivity. More volatile cryptocurrency pairs typically benefit from increased smoothing, while less volatile conditions may permit reduced smoothing for earlier signal generation.
Interpretation Protocol
Step 1: Momentum Context Assessment
Begin analysis by determining the current momentum context:
Absolute level relative to threshold zones
Direction and velocity of recent momentum changes
Relationship to the midpoint (50) level
Step 2: Timeframe Alignment Evaluation
Compare current and higher timeframe momentum:
Confirm directional alignment for trend trading
Identify divergences for potential reversal scenarios
Assess convergence strength for position sizing decisions
Step 3: Volume Confirmation Analysis
Evaluate whether recent volume patterns support momentum readings:
Extreme momentum with declining volume: Caution warranted
Neutral momentum with increasing volume: Potential breakout precursor
Confirmed momentum with expanding volume: Higher conviction signal
Step 4: Market Context Integration
Correlate momentum readings with broader market context:
Correlated cryptocurrency movements
Overall market capitalization trends
Relevant news or fundamental developments
Originality and Differentiation
Innovative Design Elements
Volume-Integrated Momentum Calculation
Unlike conventional momentum oscillators that analyze price in isolation, this indicator integrates volume as a conviction multiplier. This integration follows logical market principles where volume validates price movements, creating a more robust momentum assessment particularly valuable in cryptocurrency markets where volume manipulation attempts occasionally occur.
Dynamic Timeframe Adaptation
The automated timeframe calculation system eliminates manual timeframe selection while ensuring logical temporal relationships. This approach reduces user error and maintains consistency across different charting intervals and trading instruments.
Multi-Layer Confirmation Framework
The indicator employs three analytical layers: raw momentum, smoothed momentum, and higher timeframe momentum. This layered approach provides graduated confirmation levels, allowing traders to distinguish between preliminary signals and confirmed conditions.
Theoretical Foundations
The indicator's design incorporates elements from multiple technical analysis disciplines:
Momentum analysis principles from oscillator theory
Volume-price relationships from market microstructure
Multi-timeframe analysis from hierarchical trend theory
Statistical normalization from quantitative analysis
This interdisciplinary approach creates a comprehensive tool addressing multiple dimensions of market analysis rather than focusing on isolated phenomena.
Risk Management Integration
Signal Quality Assessment
The indicator facilitates signal quality evaluation through multiple confirmation requirements:
Primary momentum extreme reading
Smoothed momentum confirmation
Higher timeframe alignment or constructive divergence
Supporting volume characteristics
Signal strength varies with the number of confirmed elements, enabling proportionate position sizing and risk allocation.
False Signal Mitigation
Several design elements reduce false signal susceptibility:
Volume-weighting filters low-conviction price movements
Exponential smoothing reduces noise-induced fluctuations
Multi-timeframe analysis filters counter-trend movements
Graduated confirmation requirements prevent premature action
These mechanisms collectively improve signal reliability while acknowledging that no technical indicator eliminates false signals entirely.
Implementation Considerations
Cryptocurrency Market Specificity
The indicator incorporates design elements particularly relevant to cryptocurrency markets:
24/7 market operation accommodation
High volatility regime compatibility
Volume data availability considerations
Cross-market correlation awareness
These adaptations enhance effectiveness in cryptocurrency trading environments while maintaining applicability to traditional financial markets.
Customization Guidelines
Users may adjust parameters based on:
Trading timeframe (scalping, day trading, swing trading)
Cryptocurrency pair characteristics (volatility, volume profile)
Risk tolerance and trading style
Market regime (trending, ranging, transitional)
Empirical testing across different parameter sets and market conditions provides the most reliable customization guidance.
Conclusion
The Crypto MMF indicator represents a logically integrated analytical tool combining volume-weighted momentum analysis with multi-timeframe perspective. Its component synergy creates a comprehensive market assessment framework while maintaining practical implementation feasibility. Users should integrate this tool within broader trading methodologies, combining its signals with additional technical, fundamental, and risk management considerations.
The indicator's value derives from its structured approach to market analysis rather than predictive capabilities. By providing organized information about momentum, volume relationships, and timeframe interactions, it supports informed trading decisions within appropriate risk parameters.
Table - Trend Multi TF + RSI + Stoch ByBankTHTable (Multi timefram)
- show Trend
- show rsi
- show Stoch
- show prev candle (default hide)
- show curr candle (default hide)
- shows the time when the candlestick will close.
---- can config show/hide all column
Graph
- show rsi 89/21
Signal
- show signal with tp/sl (default hide)
Infinity Silver Cycle Map - 9-Point ProgrammableInfinity Silver Cycle Map — 9-Point Programmable + Inversion + 4MA is a time-structure overlay built to help visualize repeating rhythm in Silver by mapping a fixed-length cycle (default 42 bars) into 9 programmable pivot zones (P1–P9).
This script does not predict price or claim performance. Its purpose is to make cycle timing visible and testable in replay by plotting consistent time-based reference points that traders can compare against historical swing behavior.
What this script does
Draws a repeating cycle framework
You define a Cycle Length (bars) and 9 point offsets inside that cycle.
The script then draws:
Past cycles (faded)
The current cycle
The next cycle (projection)
Highlights timing windows (optional)
Each pivot can display a ± bar tolerance window so you can treat pivots as zones instead of exact “one-bar” events.
Plots 4MA and 4MA (optional)
A 4-period moving average and its prior value are plotted as a compact trend/inflection reference.
This is included as context, not as a standalone entry/exit system.
Displays a small status table
Shows the script name, cycle settings, directional bias label, inversion state, and the anchor value.
Optional symbol-lock
If enabled, outputs can be hidden unless the chart symbol looks like Silver (e.g., XAG / SI), preventing accidental use on unrelated tickers.
How it works (concepts behind the calculations)
A) Cycle mapping (bar-count time structure)
This indicator uses bar-based cycle segmentation:
A “cycle” is treated as a repeating span of N bars (default 42).
Pivot points are expressed as bar offsets inside that cycle (P1–P9).
Each pivot is then projected backward (past cycles) and forward (next cycle) to create a repeating time grid.
This is a time alignment tool: it measures where we are in the cycle and makes those timing landmarks visible.
B) Directional state (minimal / stable)
The Bias label (LONG / SHORT / STAND ASIDE) is derived from simple agreement checks:
Price relative to a short mean (SMA of close)
A smoothed RSI line vs its signal line
If both conditions align bullish → LONG
If both align bearish → SHORT
Otherwise → STAND ASIDE
C) Inversion toggle (presentation switch)
“Invert Bias” flips LONG ↔ SHORT.
This is provided to support alternative interpretations or testing workflows; it does not change the cycle map itself.
How to use it
Start by calibrating the cycle
Set Cycle Length and P1–P9 offsets to match the time structure you observe in Silver.
Use Past Cycles to visually verify whether swings tend to cluster near certain pivot zones.
Treat pivots as timing zones
Enable ± Timing Window and set tolerance (± bars) to account for real-world variation.
Use pivots as “attention zones” where trend continuation or reversal is more likely to occur in time.
Use 4MA as context
The 4MA and 4MA lines help you see whether price is accelerating, flattening, or inflecting as a pivot zone approaches.
Use Bias as a filter, not a promise
Bias is best used as a lightweight “state label” when reviewing cycle behavior, not as a standalone trade trigger.
Notes & limitations
This is a time-based framework, so behavior will differ across timeframes and Silver tickers.
Pivot placement is intentionally user-controlled; the script does not auto-optimize points.
This tool provides structure and context; it does not place trades and does not provide financial advice.
ORB Algo | WolfOfFuturesThis is an updated Ver6 edition of the FluxCharts ORB Algo
It is default set to 15min ORB as the original script is bugged. I take no credit for the script and its contents I only updated the code to version 6 and changed a few default settings.
EMA Touch & Price Action (Perfect Match)Indicator Name: EMA Touch & Price Action (Perfect Match)
【Overview】
This indicator is designed for traders who rely on precision and clarity. It automatically detects touches on up to four Exponential Moving Averages (EMAs) and identifies high-probability reversal patterns: the Engulfing (Outside Bar) and the Pin Bar.
The core strength of this script is the "Perfect Match" logic. Unlike many other tools that suffer from signal lag or "repainting" (where signals appear or disappear after the bar closes), this indicator ensures that the signals align perfectly with the price action on the chart. By focusing on confirmed price data, it provides a reliable foundation for real-time decision-making.
【Key Features】
Quad-EMA Touch Detection:
Displays four customizable EMAs (Default: 10, 20, 40, 80).
When a candle's wick or body touches an EMA, a color-coded dot (●) appears below/above the bar, instantly showing which level is being tested.
Advanced Engulfing Logic ("包"):
Goes beyond simple size comparison. It requires a color reversal (e.g., a green bar following a red bar) and a breakout of the previous candle’s high/low to confirm strong momentum shift.
Refined Pin Bar Detection ("Pin"):
Filters out "fake" pins by calculating the ratio between the wick and the body. You can adjust the sensitivity (Wick Ratio) in the settings to match your specific market (Forex, Crypto, or Stocks).
Zero-Offset, Confirmed Signals:
Signals are displayed directly on the current bar. By using the "Once Per Bar Close" alert setting, you ensure that you only trade on fully completed price action patterns.
【Settings (Parameters)】
EMA 1–4 Length: Customize the periods for your moving averages.
Pin Bar Wick Ratio: Adjust how long the wick must be relative to the body (Default is 2.0x).
【How to Trade】
Trend Following (Pullbacks): The highest win rates occur when the market is trending. Look for a "Combo" where price pulls back to a medium-to-long-term EMA (EMA 20 or 40), touches it, and prints an Engulfing or Pin Bar signal in the direction of the trend.
Confluence: When multiple EMA dots appear on the same bar as a "包" or "Pin" label, it indicates a significant zone of support or resistance.
Trading Halt DetectorThis is an indicator that plots RED square above or below the last candle when a trading halt occurs. Note that it only plots once the market resumes, not while it's being Halted.
It calculates the time between every candle. If there's more than 1 minutes from a candle to the next one, a red square is going to show.
For exemple, if you trade on the 1min time frame and a Halt up happens, it usualy takes 5 minutes for the market to resume. Since the resuming candle open 5 minutes later, a RED square is going to appear below the last candle before the HALT.
1. When a RED Square appears below the candle, it means that a HALT up occured.
2. When a RED Square appears above the candle, it means that a HALT down occured.
You may use this indicator on multiple time frames but it's been built for 1 to 4 minutes time frame. It' s possible to adjust the time tolerance that you consider being a halt. The default setting is 1 minutes more than the chosen time frame.
Trading Halt DetectorThis is an indicator that plots RED square above or below the last candle before a trading halt occurs. It calculates the time between every candle. If there's more than 1 minutes from a candle to the next one, a red square is going to show.
For exemple, if you trade on the 1min time frame and a Halt up happens, it usualy takes 5 minutes for the market to resume. Since the resuming candle open 5 minutes later, a RED square is going to appear below the last candle before the HALT.
- When a RED Square appears below the candle, it means that a HALT up occured.
- When a RED Square appears above the candle, it means that a HALT down occured.
You may use this indicator on multiple time frames but it's been built for 1 to 4 minutes time frame. It' s possible to adjust the time tolerance that you consider being a halt. The default setting is 1 minutes more than the chosen time frame.
My RSI Standard RSI + selectable MA smoothing
Optional cRSI (a cycle-based / adaptive RSI variant)
Bollinger Bands on RSI / cRSI
Multiple overbought/oversold levels + gradient fills
Regular + Hidden divergence detection (with labels)
Multi-timeframe RSI table
RSI-based candle coloring
Optional Heikin Ashi or regular candles plotted in the RSI panel
Extra fast/slow lines (EMA9 & WMA45 of RSI14)
SMC MTF📊 SMC MTF - Multi-Timeframe Zone Detection
🎯 Overview
SMC MTF is a powerful companion indicator designed to display Higher Timeframe (HTF) institutional zones directly on your lower timeframe charts. Identify high-probability trading opportunities by seeing where smart money is likely to react!
✨ Key Features
🔹 Multi-Timeframe Analysis
Display zones from 2 different Higher Timeframes simultaneously
Optional Current Timeframe detection
No chart switching needed - see HTF zones on your execution timeframe
🔹 Smart Zone Detection
Fair Value Gaps (FVG) - Identifies imbalanced price areas with quality filters
Order Blocks (OB) - Locates institutional entry points with structure break validation
🔹 Professional Visual Styles
3 Design Modes: Standard, Halo Effect, Minimalist Lines
Fully customizable colors for Bull/Bear zones
50% Centerline for precision entries
🔹 Quality Filters
FVG Strength Filter (Standard/Strong)
Max Fill Percentage for fresh zones only
ATR-based minimum gap size
Auto hide broken/mitigated zones
⚙️ How To Use
Add to Chart - Apply indicator to your execution timeframe (e.g., 5M, 15M)
Set HTF 1 - Choose your primary Higher Timeframe (e.g., 1H or 4H)
Set HTF 2 (Optional) - Add a second HTF for confluence (e.g., Daily)
Wait for Zone Touch - Look for price to approach HTF zones
Execute Trades - Enter with confirmation when price reacts to zones
💡 Best Practices
Use HTF zones as targets and entry areas
Combine with your LTF confirmation (CISD, BOS, etc.)
Strong zones = zones with minimal wick fill
Higher HTF zones = stronger institutional interest
🔧 Recommended Settings
Timeframe HTF 1 HTF 2
Scalping (1M-5M) 15M-1H 4H
Intraday (5M-15M) 1H-4H Daily
Swing (1H-4H) Daily Weekly
© Oday Mohamad | Telegram: @Odaychart
Momentum Regime & Confluence EngineMomentum Regime & Confluence Engine is a Stochastic RSI–based momentum framework designed to display live momentum state, higher-timeframe regime context, and an optional pattern-projection timing overlay in a single indicator pane.
This script is intended for momentum structure and regime context, not as an automated strategy. It does not place trades and does not guarantee outcomes.
What This Script Displays
1) Live Stochastic RSI (%K / %D) — Current Chart Timeframe
The script computes a standard Stoch RSI on the active chart timeframe:
RSI is calculated from price
A stochastic transform is applied to RSI
%K is smoothed
%D is a further smoothing of %K
Live %K and %D are plotted in the pane with standard overbought/oversold reference levels (80/20).
2) Weekly Regime Background (Full Pane Shading)
A weekly Stoch RSI series is calculated using higher-timeframe data (request.security() with no lookahead).
The script classifies the weekly environment into Bull / Bear with an optional Neutral state.
To reduce rapid flip-flopping near crossovers, the weekly regime uses a hysteresis model based on the signed percentage distance between weekly %K and %D:
Enter thresholds require stronger separation to switch regimes
Exit thresholds allow a smaller move to transition out
Optional Neutral zone treats a small band around zero as neutral
The weekly regime is displayed as full-pane background shading.
3) Daily Regime Overlay (Secondary Shading)
A daily Stoch RSI series is also sampled via request.security() (no lookahead) and classified into Bull / Bear with an optional Neutral state.
Daily regime shading is drawn as a lighter overlay on top of the weekly background to make daily-vs-weekly alignment visually apparent.
4) Weekly Context Tag (Optional)
An optional small table “W Context” tag can be displayed in a selectable corner.
It shows the current weekly regime state (Bull / Bear / Neutral) so higher-timeframe context remains visible even when focusing on live oscillator movement.
5) Forward Projection of a Historical Stoch RSI Pattern (Optional)
A projection feature can sample a historical Stoch RSI pattern (%K and %D) from a user-defined bars-back window and shift that pattern forward in time.
Optional normalization can rescale the sampled pattern to the recent observed range for visual comparability.
This projection is a pattern-visualization and timing-reference tool, not a prediction engine.
6) Projected Cross Markers (Optional)
When projection is enabled, the script can identify projected cross events inside the projected pattern:
vertical dotted timing markers in the pane
small arrows at the approximate projected cross level
an optional single “Projected Cross” balloon for the nearest upcoming projected cross
These markers are intended as timing reference points, not trade signals.
Alert System (Optional)
The script includes alert conditions for weekly and daily momentum events, including:
Confirmed bullish crosses (%K crossing above %D), optionally restricted to fully formed bars (daily/weekly close)
Imminent bullish cross conditions, based on proximity and slope behavior (approaching crossover logic)
Alignment alerts, where daily events can be filtered to trigger only when a bullish weekly context exists
Dual confirmed alerts when weekly and daily confirmed crosses occur together
Alerts report that a defined condition occurred; they do not imply trade execution or performance.
Chart Setup Notes
The projection feature samples historical data and plots forward graphics. For best accuracy, ensure the chart has fully loaded available history before interpreting projected timing markers.
On symbols or sessions with limited historical data, the sampled pattern window may be incomplete and can shift projected timing features.
Notes and Limitations
Regime shading is a momentum classification based on Stoch RSI relationships; it is not a guarantee of trend continuation or reversal.
Projection is a visual clone of a selected historical pattern and may not repeat.
Alerts indicate that configured conditions occurred; they are not buy/sell commands.
This script is provided for informational and educational purposes only and does not constitute financial advice.
TQ Reversal Bull&Bear - D✅ The REAL-TIME, Non-Delayed version of this indicator is available, and includes full alerts.
⚠️ What you see here is a DEMO version of TQ Reversal Bull&Bear.
🔹 Signals in this demo are PURPOSELY delayed and backpainted
🔹 This is done intentionally so you can study the logic and structure without exposing the live algorithm
🔹 This demo is not intended for live trading, but the signals appear on the same candles as the final version, this one is purposely delayed.
This system is designed to highlight high-probability reversal zones, and was developed and optimized primarily for:
SPX / GOLD (XAUUSD) / SPY / QQQ / US100 / RTY
Using:
Liquidity sweeps (SFPs)
Reclaim + reversal confirmation
Volume climax & momentum thrust
EMA / dual-EMA bias filtering
👉 The REAL version runs fully in real time, does NOT backpaint, does NOT delay signals, and includes configurable alerts.
💡 If you like how the demo behaves and want access to the real version, it’s available for cheap for early users.
📩 How to get access:
• Write a comment below
• Or email: redflash972@gmail.com
• Or Instagram: @tq.trader
❗ No holy grail, no fake win-rates — this is a confirmation-based reversal tool and should be used with proper risk management.
Trade ValidatorThere is a moment every intraday trader knows too well: price is moving fast, levels are being tapped, and you are stuck asking yourself, “Is this the move, or just another trap?” This indicator was created to turn that hesitation into a clear, on‑chart narrative you can read in real time. It does not try to predict the future with magic; instead, it quietly organizes the past and present into a structured checklist so you can decide whether a trade idea truly deserves your attention.
Each day, the tool starts by watching how price explores its range. It records the previous day’s high and low, tracks the active session’s extremes, and updates these levels bar by bar. These become the key liquidity pools: places where stops are likely resting and where sharp moves often begin. Instead of forcing you to manually redraw the same lines every session, the indicator takes care of that background work and keeps the chart clean, so your focus stays on the story price is telling.
When price finally reaches for one of these levels, the script looks for signs that the raid is more than noise. It checks whether the market just swept a prior high or low, whether a simple shift in structure has confirmed a potential reversal, and whether a strong displacement candle has actually kicked in. Only when those ingredients come together does it highlight a potential entry zone, estimate a logical stop beyond the raid, and map nearby internal and external targets. At that point, you are no longer staring at random candles; you are looking at a structured scenario with clear boundaries.
To tie everything together, the indicator prints a compact text panel directly on the chart. That panel summarizes session, directional bias, which liquidity was taken, whether structure has shifted, the type of entry array detected, and the approximate risk‑to‑reward to the first and second targets. In practice, this turns into a small trading companion: on good days it confirms what you already see and gives you the confidence to execute; on bad days it reminds you that one or more gates are missing and that “no trade” is also a valid decision. It is designed not to replace your judgment, but to keep you honest to a consistent process especially in the moments when emotions would otherwise take over.






















