Weekly High/Low Day StatisticsThis indicator analyzes historical price data to determine which day of the week (Monday through Friday) most frequently hosts the weekly high and low prices. It provides overall counts, percentages, and the total number of weeks analyzed. Ideal for traders studying seasonal or day-of-week patterns in markets like futures (e.g., ES1!, NQ1!) or stocks (e.g., SPY).
Key Features:
Overall Statistics: Aggregates data across all available history, including the current partial week if applicable.
High/Low Tracking: Counts how many times each day was the weekly high or low, with percentages calculated over the total weeks.
Tie Handling: Uses the first occurrence in case of price ties (e.g., if multiple days hit the same high, the earliest day is credited).
Futures-Friendly: Utilizes time_tradingday for accurate day-of-week detection on continuous contracts like ES1!, accounting for session timings in UTC.
Table Display: Results are presented in a clean, semi-transparent table in the top-right corner, with columns for counts, percentages, and a total weeks summary.
Dynamic Updates: Processes all available historical bars on daily (1D) charts, supporting deep history (e.g., back to 2001 for ES1!). Note: On intraday timeframes, historical depth may be limited by TradingView's bar constraints.
How It Works:
The script iterates through daily bars, identifying the start of each new week via ta.change(time("W")). It tracks the highest and lowest prices within each week and assigns them to the corresponding trading day. At the end of each complete week, it tallies the results. The current incomplete week is included for real-time relevance.
Percentages are calculated as: (Count / Total Weeks) * 100, rounded to one decimal place.
Usage Tips:
Recommended Timeframe: Daily (1D) for maximum historical analysis. Works on intraday charts but with shallower data.
Symbols: Best for markets trading Monday-Friday, like indices, futures, or equities. Sunday/Saturday data is ignored as it's typically non-trading.
Customization: If ties should favor the last day instead, modify the comparison operators from >/< to >=/<= in the update logic.
Performance: Efficient for large datasets; no max_bars_back needed as it avoids deep historical references.
This tool can help uncover patterns, such as whether Fridays tend to be highs in bullish markets or Mondays lows during volatility. Use it alongside other indicators for comprehensive strategy building. Feedback welcome—feel free to suggest improvements!
Forecasting
Options X-Level Lock Tracker (Weekly Fri PM)What this indicator is
Options X Lock Tracker is a weekly trade‑management dashboard for defined‑risk premium selling where the “trade thesis” is primarily about finishing on the correct side of a single level (X) by expiration. In this framework, X is the short strike (the “line”) you sell, and the goal is to remain on the correct side of X through settlement.
This script helps you:
Compute candidate PUT X and/or CALL X levels using a volatility‑based model,
Lock those X levels on specific weekdays (Mon/Tue/Wed),
Track touches/breaches during the week, and
Evaluate win/loss at weekly settlement.
Core features
1) X‑Level computation (PUT and/or CALL)
Can compute PUT X, CALL X, or both.
Can use a target delta approach or a 1‑sigma move approach.
Volatility input can be HV (log returns) or ATR, with configurable lookback lengths and caps/floors.
2) Expiry / settlement controls
Settlement is aligned to next Friday with a configurable timezone + settle hour/minute (e.g., Fri 16:00 New York).
3) Strike rounding + optional “snap”
Rounds strikes to your chosen strike increment (e.g., 5‑point spacing for index products).
Optional “snap” can align X to nearby prior daily/weekly key levels (H/L/C/Mid) rather than purely model output.
4) Locking workflow (Mon / Tue / Wed)
You can enable locking on Monday, Tuesday, and/or Wednesday.
Locks occur on the daily close (confirmed bar), and once locked, the level is held for the week.
5) Visual plotting
Plots the locked X levels as horizontal lines extended to the right:
PUT lines are solid, CALL lines are dashed, and
Lines are color‑coded by lock day (Mon/Tue/Wed).
6) Touch/Breach tracking
Tracks whether price touched/breached the locked X during the week (after the lock moment).
7) Friday settlement result (win/loss)
On Friday’s confirmed close, evaluates results:
Short PUT considered a win if settle > put strike
Short CALL considered a win if settle < call strike
8) Table dashboard (weekly “control panel”)
The table is meant to be your weekly at‑a‑glance tracker. For each lock day and each side it can show:
Locked strike (X),
“Now” distance from price,
Touch status,
Settle status (once Friday passes),
W% = a real‑time probability estimate (normal approximation).
Important: W% is a real‑time probability estimate, not a historical win‑rate backtest.
9) RSI context + RSI alerts
Optional RSI context in the table and RSI‑based bias framing.
Includes alert conditions for RSI crossing above/below 50 (useful for regime shifts).
Recommended chart setup / best practices
This tracker is intentionally built around daily locking, and is designed for 1D charts where the lock event is the daily close.
Make sure your settlement timezone/time matches the product you’re trading (and your intended settlement convention).
If you trade instruments with different strike spacing, update Strike increment accordingly.
Limitations / notes
Probability outputs (W%) are model estimates and can diverge from real option pricing (skew, kurtosis, jumps, event risk, liquidity, etc.).
This is a decision support / tracking tool. It is not an automated execution system, and it does not include slippage/fees in outcomes.
Disclaimer
This indicator is for educational and informational purposes only and does not constitute financial advice. Options involve substantial risk and are not suitable for all traders. Always use defined risk controls and trade within your plan.
MTF Institutional Zones with Alerts (Impulse + Mitigation)This script plots multi-timeframe (MTF) Supply and Demand zones derived from impulse candles on higher timeframes.
How zones are created
A new zone is formed when an HTF candle has a body size greater than or equal to ATR(14) * Impulse Multiplier.
If the impulse candle is bullish, the script uses the most recent bearish candle (on that HTF) as the Demand zone source.
If the impulse candle is bearish, the script uses the most recent bullish candle (on that HTF) as the Supply zone source.
Filtering and zone management
Zones are kept only if the distance from the HTF impulse close to the zone source is within ATR(14) * Max Distance.
A maximum number of zones per side is stored for each timeframe. Older zones are deleted automatically.
Zones are extended to the right in real time.
Mitigation rule (50%)
A zone is removed when price mitigates 50% of its range:
Demand is removed when low reaches the midpoint.
Supply is removed when high reaches the midpoint.
Alerts
Formation alerts: triggered when a new HTF zone is created (TF1/TF2/TF3).
Proximity alerts (NEAR/IN): triggered when the candle range is within a configurable distance from a zone or when price is inside/touching it.
How to use
Choose TF1/TF2/TF3 (e.g., 4H / 1H / 15m).
Adjust Impulse Multiplier to detect only strong candles.
Adjust Proximity distance (%) to control when proximity alerts trigger.
Notes
This indicator highlights potential reaction areas. It does not guarantee reversals and should be used with proper risk management.
Macd Momentum Stratum PRO🟦1 INDICATOR OVERVIEW
Macd Momentum Stratum PRO is a professional momentum-classification indicator designed to help traders understand how momentum develops across different structural depths. Instead of compressing momentum into a single MACD signal, the indicator separates it into three coordinated layers, allowing traders to distinguish between early momentum shifts, structural confirmation, and deep market pressure. This layered approach provides clarity, context, and discipline when evaluating market conditions.
🟦2 CORE DESIGN PHILOSOPHY
Momentum does not appear uniformly across the market. It emerges first at faster scales, then propagates into intermediate and deeper structures. Macd Momentum Stratum PRO is built around this principle. Each layer represents a different momentum depth, and the indicator’s logic is designed to respect this natural progression rather than override it with aggressive signaling.
🟦3 THREE-LAYER MOMENTUM ARCHITECTURE
The indicator uses three independent MACD engines.
The first layer represents fast, reactive momentum and captures early changes in market behavior.
The second layer represents intermediate momentum and reflects whether early movement is gaining structural acceptance.
The third layer represents deep momentum and defines dominant pressure within the broader market structure.
By separating these layers, traders can see whether momentum is isolated, developing, or fully aligned.
🟦4 CONFIRMATION-FIRST LOGIC
Fast momentum alone is not considered sufficient. When the first momentum layer detects a fresh shift, the indicator enters a waiting state rather than triggering immediately. Only when the intermediate and deep momentum layers confirm alignment does the system allow the momentum condition to be validated. This confirmation-first design helps reduce noise, filters premature reactions, and reinforces disciplined interpretation.
🟦5 MULTI-TIMEFRAME MOMENTUM CONTEXT
All momentum calculations can be performed on a user-selected higher timeframe. This allows traders to execute on lower timeframes while remaining aligned with higher-timeframe momentum structure. The indicator avoids mixing execution noise with structural bias and provides a clean separation between context and timing.
🟦6 INTERMEDIATE MOMENTUM MODULATION
The intermediate momentum layer includes a proportional multiplier system that allows sensitivity tuning without altering the underlying structure. This enables traders to adapt the indicator to different market conditions while preserving logical consistency and avoiding over-optimization.
🟦7 NON-PREDICTIVE CLASSIFICATION
Macd Momentum Stratum PRO does not attempt to forecast price or generate guaranteed trade signals. It classifies momentum states objectively. All visual markers represent confirmed momentum conditions, not trade instructions. This design encourages responsible usage and integration into broader decision frameworks.
🟦8 VISUAL STRUCTURE AND READABILITY
Each momentum layer is visually differentiated to reflect its structural importance. Fast momentum is displayed with higher contrast, intermediate momentum with controlled tones, and deep momentum with neutral dominance. This hierarchy allows traders to interpret conditions quickly without chart clutter or visual overload.
🟦9 EXECUTION DISCIPLINE AND STABILITY
Momentum states are calculated using confirmed data, ensuring stable historical behavior suitable for backtesting, journaling, and rule-based analysis. Optional confirmation controls allow traders to prioritize either responsiveness or stability depending on their execution style.
🟦10 PRACTICAL USE CASE
This indicator is designed to function as a momentum context and confirmation engine. It is best used alongside execution tools, price action models, or risk management frameworks. Its primary purpose is to answer a critical question with clarity: is momentum structurally aligned, developing, or deteriorating?
🟦11 MARKET AND TIMEFRAME COMPATIBILITY
Macd Momentum Stratum PRO works on all TradingView-supported markets, including crypto, forex, indices, commodities, and equities. It is fully timeframe-agnostic and suitable for scalping, intraday trading, swing trading, and higher-timeframe structural analysis.
🟦12 INTENDED USER PROFILE
This indicator is built for traders who value structure over noise, confirmation over impulse, and context over isolated signals. It is not designed for blind signal-following but for disciplined decision-making supported by clear momentum classification.
🟦13 DISCLAIMER
This indicator is provided for educational and analytical purposes only. It does not constitute investment advice, trading advice, financial advice, or a recommendation to buy or sell any financial instrument. Trading and investing in financial markets involve substantial risk, including the potential loss of all or more than the capital invested. Past performance or indicator behavior does not guarantee future results. The user assumes full responsibility for all trading decisions made using this tool.
Intraday Toolkit1. Visual Components of the Indicator
Understanding the visual cues is essential for quick decision-making during fast-moving intraday sessions:
Trend Background: The background color represents the Primary Cycle (80-period) bias. Green indicates a bullish trend (price is above the primary cycle), and red indicates a bearish trend (price is below the primary cycle).
The Three Cycles:
Yellow Line: Short Cycle (20) – Used for momentum triggers.
Orange Line: Mid Cycle (40) – Represents the baseline for volatility envelopes.
Red Line: Primary Cycle (80) – Defines the overall trend direction.
Volatility Envelopes: Two green lines plotted at a distance (1.5x ATR) from the Mid Cycle. These act as exhaustion zones where price is likely to revert or consolidate.
Rule 3 Signals (Purple Circles): These appear when a specific 3-candle momentum breakout occurs.
2. Trading Strategy for 5m & 15m
This toolkit is most effective when you use the 15m chart for trend confirmation and the 5m chart for precise entries.
Long (Buy) Setup
Enter a long position when the following alignment occurs:
Bullish Bias: The background must be Green (Price > Primary Cycle).
Cycle Low: A pivot low must have been detected (the indicator identifies a local bottom).
Momentum Trigger: Price must close above the Yellow Short Cycle line while the previous candle was below it.
Rule 3 Confirmation: If a purple circle appears simultaneously, it confirms strong buying momentum.
Short (Sell) Setup
Enter a short position when the following alignment occurs:
Bearish Bias: The background must be Red (Price < Primary Cycle).
Cycle High: A pivot high must have been detected (the indicator identifies a local top).
Momentum Trigger: Price must close below the Yellow Short Cycle line while the previous candle was above it.
Rule 3 Confirmation: A purple circle above the price confirms a bearish momentum shift.
3. Exit and Take-Profit Logic
The script includes "State Control" to manage your exits effectively:
Targeting the Envelopes: The primary profit target is the Outer Green Envelope. If price touches the upper envelope (for longs) or lower envelope (for shorts), the trend may be exhausted.
Momentum Exit: If price crosses back over the Yellow Short Cycle line in the opposite direction of your trade, the toolkit considers the move over and signals an exit.
4. Specific Tips for Day Trading
Avoid "Counter-Trend" Signals: Do not take Buy signals if the background is Red, or Sell signals if the background is Green. The logic is built to filter these out for better win rates.
The "Rule 3" Advantage: Use the purple circles as a "second chance" entry. If you missed the initial Buy/Sell signal, a Rule 3 circle indicates momentum is still strong in that direction.
Timeframe Synergy: * 15m: Best for seeing the "Big Picture" and avoiding noise.
5m: Best for finding entries with smaller stop-losses near the Yellow Short Cycle line.
FED Net Liquidity (WALCL - TGA - RRP)a measure of FED net liquidity with color codes. What is FED Net Liquidity?
FED Net Liquidity is a proxy for how much usable US-dollar liquidity is actually available to financial markets.
It combines three balance-sheet items from the Federal Reserve and the US Treasury into one number:
FED Net Liquidity =
FED Balance Sheet (WALCL) − Treasury General Account (TGA) − Reverse Repo (RRP)
The goal is simple:
to estimate how much money is “in play” for risk assets, rather than parked or withdrawn.
MemoMeister Capsules: Boost Your Concentration and MemoryMemoMeister Capsules: Boost Your Concentration and Memory
In today’s fast-paced digital world, concentration and memory have become essential skills for both professional success and everyday life. MemoMeister capsules are increasingly discussed as a supplement designed to support cognitive performance, mental clarity, and sustained focus. Before forming an opinion about MemoMeister, it is important to consult independent analyses and explanatory resources that examine the product from multiple perspectives.
An in-depth independent review that closely examines MemoMeister capsules, their positioning, and general user perception can be found in this detailed analysis, which provides structured insight and contextual evaluation: www.tumblr.com . Such comprehensive references help establish a clearer understanding of how MemoMeister is discussed in real-world contexts.
Another valuable long-form publication explores MemoMeister capsules within the broader topic of mental performance and productivity. This analytical article offers extended background information and explanatory depth, allowing readers to better understand how MemoMeister fits into modern approaches to cognitive support: substack.com . Content that is written in a narrative and research-oriented style often supports informed decision-making.
For readers who want to verify authenticity and differentiate between genuine information and misleading claims, this independent informational resource provides additional clarification and context related to MemoMeister capsules: sites.google.com . Transparency-focused sources like this play an important role in building trust and credibility.
Why Concentration and Memory Matter More Than Ever
Mental focus and memory retention are fundamental to productivity, learning, and decision-making. Whether managing complex work tasks, studying for exams, or handling multiple responsibilities at once, cognitive endurance is often tested daily. MemoMeister capsules are positioned toward individuals who seek steady support for mental performance rather than short-term stimulation.
As cognitive demands increase, many people look for ways to maintain clarity and attention over longer periods. Memory and concentration are closely linked, and supporting both can help reduce mental fatigue while improving the ability to process and retain information consistently throughout the day.
How MemoMeister Capsules Fit Into Daily Cognitive Support
MemoMeister capsules are commonly discussed as part of a routine-based approach to mental performance. Rather than expecting immediate or dramatic effects, many users focus on gradual cognitive support that integrates into everyday habits. This aligns with how memory and focus supplements are typically evaluated, as improvements are often subtle and develop over time.
Consistency plays a key role when it comes to cognitive supplements. By incorporating MemoMeister capsules into a regular schedule, users often aim to support mental clarity during periods of increased cognitive workload, such as demanding work phases or extended periods of concentration.
Long-Term Cognitive Support and Realistic Expectations
When evaluating supplements designed to support concentration and memory, long-term perspective is essential. Cognitive performance is influenced by multiple factors, including lifestyle, workload, and mental habits, which means that products like MemoMeister capsules are typically viewed as supportive tools rather than instant solutions. Many users focus on maintaining stable mental clarity and consistent focus over time, especially during periods of sustained cognitive demand. By setting realistic expectations and combining supplementation with balanced routines, adequate rest, and mental engagement, MemoMeister capsules are often discussed within a broader strategy aimed at preserving cognitive efficiency and supporting memory function in a sustainable and measured way.
MemoMeister Capsules in Everyday Mental Performance Scenarios
In everyday situations that require sustained attention, such as long workdays, complex problem-solving, or continuous learning, mental performance can fluctuate significantly. MemoMeister capsules are often discussed in connection with these real-life scenarios, where concentration and memory are tested repeatedly rather than occasionally. Instead of targeting short bursts of stimulation, the product is typically associated with maintaining a steady level of cognitive support throughout the day. This makes MemoMeister particularly relevant for individuals who value mental consistency, structured thinking, and the ability to stay focused across multiple tasks without experiencing rapid mental exhaustion.
Independent Perspectives and Information Sources
One reason MemoMeister capsules continue to attract attention is their presence across various independent publishing platforms. Articles, reviews, and explanatory pages provide different viewpoints and allow readers to compare interpretations and experiences. This variety of independent content sources contributes to discoverability and encourages a more balanced evaluation.
Access to multiple perspectives helps readers move beyond promotional messaging and focus instead on informative content. When a supplement is discussed in analytical articles and independent resources, it becomes easier to assess expectations realistically and understand its intended role.
Final Thoughts on MemoMeister Capsules
MemoMeister capsules are aimed at individuals who want to support their concentration and memory in a structured and informed way. Whether used during mentally demanding workdays, study periods, or phases of high cognitive load, the product is positioned as a supplement worth examining more closely through independent sources.
Making an informed decision involves understanding realistic expectations, consulting transparent information, and focusing on long-term cognitive well-being. By exploring detailed analyses, explanatory articles, and credibility-focused resources, readers can form a clearer picture of how MemoMeister capsules may fit into their personal approach to mental performance and memory support.
PULSE order-flow + liquidity pressure engine
A professional order-flow + liquidity engine that tracks big players (“Big Boys”) entering and exiting, scores targets probabilistically, and tells you when to follow, when to wait, and when to fade.
If the first indicator is a traffic light, this one is a radar + decision engine.
1. Liquidity Map (Where price wants to go)
Draws FVGs and Order Blocks automatically
Marks Daily / Weekly Highs & Lows
These become targets, not signals
Each target is scored for probability of being hit
You do not trade randomly — you trade toward the most probable liquidity.
2. Pulse Engine (Big money detection)
Detects institutional entry
🟧 Orange = confirmed pulse (BB enters)
🟪 Purple = BB still pushing
Grey = fake / weak pulse
3. Big Boy Tracking (most important feature)
After pulse:
Tracks BB for 1–12 bars
Monitors if momentum is still supported
Detects when BB leaves or gets absorbed
Outcomes:
Continuation → trend continues
Fake stall → still pushing
Real stall → reversal likely (fade opportunity)
This is who’s in control right now logic.
4. Regime Detection (context filter)
Classifies market as:
TREND (follow BB)
ROTATION (chop, wait)
STOP-RUN (liquidity hunt, quick moves)
NEUTRAL
All probabilities and confidence are adjusted by regime (trend boosts, rotation penalizes).
5. Probability Engine (why this is advanced)
Every FVG / OB / High / Low gets:
A score (20–100)
Converted to probability via logistic curve
Assigned a decision class:
Class Meaning
AGGRESSIVE Size up
STANDARD Normal trade
SCOUT Small probe
NO_TRADE Ignore
This prevents overtrading and removes emotion.
6. Entry Logic (follow or fade)
Two modes:
Continuation → follow BB with high rVol
Exhaustion → fade BB when volume dies
Signals:
Buy = bullish pulse + BB confirmed
Sell = bearish pulse + BB confirmed
Fade = BB exits + opposing pressure
7. Candle Coloring (read chart without thinking)
Dark green/red = signal
Orange = BB entered
Purple = BB still active
Dark green/red after stall = reversal likely
Grey = dead zone (don’t trade)
You can literally trade without indicators — just colors.
8. Pressure Triangles (4-factor alignment)
Triangles show alignment strength:
Blue = volume/delta
Purple = momentum
Orange = volatility
Teal = regime
When all align → high conviction environment
This indicator tracks institutional intent in real time, scores liquidity targets with probability, and tells you whether to follow, wait, or fade the move — with regime awareness.
This is a higher-level system than my first script.
First script = entry timing + protection educational
This script = who’s in control + where price will go
Used together:
PULSE = bias + target selection
Predictive SMC = execution + filtering
Gapper SHORT Signal# TradingView Publication Description
## Title
**Gapper Short Signal - Genetic Optimized (81.8% Win Rate)**
---
## Short Description
Data-driven short signal for fading overextended gap-up stocks. Optimized using genetic algorithms on 166 historical gappers.
---
## Full Description
### 📊 What Is This?
A **precision short signal** designed specifically for fading gap-up stocks that have become overextended. Unlike indicators built on gut feeling or traditional rules, this signal was **discovered by a genetic algorithm** that analyzed 166 real gapper stocks over 70 trading days.
The algorithm tested thousands of signal combinations and evolved over 50 generations to find the exact conditions that preceded profitable short entries.
---
### 🎯 Performance (Backtest)
| Metric | Value |
|--------|-------|
| **Win Rate** | 81.8% |
| **Profit Factor** | 20.34 |
| **Stop Loss** | 3.4% |
| **Take Profit** | 8.6% |
*Based on 166 gapper stocks, $1-20 price range, >3% gap, >100k volume*
---
### 🔍 How It Works
The indicator fires a SHORT signal when **ALL 5 conditions** are met:
**1. Overextended Above VWAP**
Price must be trading more than 1.5 ATR above VWAP. This means the stock has run too far, too fast and is stretched like a rubber band.
**2. Volume Dying Down**
NOT a volume climax (RVOL < 3x). We want to see buying pressure fading, not a blowoff top with massive volume.
**3. Rejection Candle (Key Signal!)**
Upper wick must be >51% of the candle range. This is the smoking gun - price tried to push higher but got slammed back down. Sellers are stepping in.
**4. Still Elevated**
Price must be at least 6.66% above the low of day. We want to short stocks that are still high, not ones that have already crashed.
**5. Time Window**
Within the first 5.5 hours of trading. Gapper fades work best when there's still time in the day for the move to play out.
---
### 📈 Best Used On
- **Timeframe:** 1-minute charts
- **Stocks:** Gap-up stocks (>3% gap from previous close)
- **Price Range:** $1-20 (small caps / penny stocks)
- **Volume:** High relative volume days
- **Session:** Regular trading hours
---
### 🖥️ Features
✅ Clean visual signals (red triangles)
✅ Auto-drawn stop loss and take profit levels
✅ Real-time info table showing all conditions
✅ Condition status indicators (✓/✗)
✅ Entry label with exact stop/target prices
✅ Built-in alerts
---
### ⚙️ Settings
| Input | Default | Description |
|-------|---------|-------------|
| Stop Loss % | 3.4% | Distance to stop loss |
| Take Profit % | 8.6% | Distance to profit target |
| Show Info Table | On | Display condition status |
| Show All Conditions | Off | Expanded table view |
---
### 🧬 The Science Behind It
This indicator wasn't designed by a human - it was **evolved**.
A genetic algorithm started with 100 random indicator configurations, each with different entry conditions and thresholds. These "individuals" were backtested against historical gapper data, and the top performers were bred together to create the next generation.
After 50 generations of evolution, only the fittest signals survived. The result is the 5-condition setup you see here.
**Why genetic optimization?**
- Removes human bias from signal design
- Tests combinations humans would never think of
- Finds exact threshold values (not round numbers)
- Adapts to real market data, not theory
---
### ⚠️ Important Notes
**This is a tool, not a guarantee.**
- Backtest performance ≠ future results
- 11 trades in backtest = small sample size
- Always use proper position sizing
- Paper trade before going live
- Works best on liquid stocks with tight spreads
**Risk Management is Everything**
The 81.8% win rate means nothing if you size incorrectly or move your stops. Stick to the 3.4% stop / 8.6% target that the algorithm optimized for.
---
### 💡 Trading Tips
1. **Wait for the signal** - Don't anticipate. Let all 5 conditions align.
2. **Check the table** - Use the info panel to see which conditions are met.
3. **Respect the stop** - The 3.4% stop is part of the edge. Don't widen it.
4. **Let winners run** - 8.6% target gives you 2.5:1 reward-to-risk.
5. **One trade per setup** - Don't re-enter if stopped out.
---
### 🔔 Alerts
Set up alerts for "SHORT Signal" to get notified when all conditions align. Works with TradingView mobile notifications.
---
### 📝 Changelog
**v1.0** (January 2026)
- Initial release
- Genetic optimization on 166 gappers / 70 trading days
- 5-condition SHORT signal
---
### 🙏 Credits
Built using genetic algorithm optimization techniques applied to Polygon.io historical data. Special thanks to the algo trading community for inspiration.
---
### ⚖️ Disclaimer
This indicator is for educational and informational purposes only. It is not financial advice. Trading involves substantial risk of loss. Past performance does not guarantee future results. Always do your own research and consult with a qualified financial advisor before making trading decisions.
---
## Tags
`short` `gapper` `gap-up` `fade` `mean-reversion` `genetic-algorithm` `machine-learning` `day-trading` `momentum` `vwap` `rejection` `small-cap` `penny-stocks`
---
## Category
Trend Analysis / Momentum / Volatility
Support/Resistance + Weekend CME Gaps (Full Fill + Text)This indicator shows Support and Resistance Level of Bitcoin.
It also shows WeekEnd CME Gaps (Gap between Friday Close and Sunday Open )
It has an option to delete the CME Gap box if it is filled.
CME Gap box is in yellow color.
Please Note: In order to use the CME Gap Feature, Your TradingView account should Show CME Gap Charts (CME: BTC1!)
CME Gap Settiings You Can Define
- CME Gap TimeFrame (60, 120) : 60 For 1 Hour and 120 for 4 hour
- Max CME Gap Boxes on Chart : This controls how many old CME gap zones are allowed to stay visible at the same time.
XRP Athey Mitchnick Implied Price (Ramp + Analytical 2030 Label)This indicator implements a fundamental valuation framework for XRP based on the Athey–Mitchnick cryptoasset valuation model. Unlike traditional technical indicators (RSI, MACD, etc.), this tool is not designed to predict short-term price movements. Instead, it models what XRP should be worth over time under explicit adoption and demand assumptions.
It answers the question:
If XRP becomes a real settlement rail and a long-term store of value, what price would be required for the system to function?
What This Indicator Adds
This implementation extends the static Athey–Mitchnick model by introducing a time-based ramp:
1. Adoption grows over time
You specify:
TV CAGR (%)
SoV CAGR (%)
These values compound annually from a start date to an end date (e.g., 2030), producing a dynamic implied valuation curve.
2. Terminal 2030 price is computed analytically
The indicator explicitly computes the implied price at the target year (e.g., 2030) and displays it as:
“2030 Implied Price = $X”
This is done analytically, so the chart does not need to extend to 2030 for you to see the terminal valuation.
3. This is not a trading indicator
This model is not designed for:
Scalping
Breakouts
Entry timing
Momentum trading
It is designed for:
Long-term valuation anchoring
Scenario modeling
Macro thesis testing
Adoption-based forecasting
Narrative vs fundamentals comparison
How to Read the Chart
Market Price (Close)
This is the actual XRP market price. It reflects:
Speculation
Liquidity
Leverage
Narrative
Emotion
Implied Price (Ramp)
This is the fundamental valuation curve.
It shows what XRP’s price would need to be at each point in time for your adoption and store-of-value assumptions to be true.
Bands (Optional)
The ±% bands are valuation tolerance zones. They are not volatility bands.
They help visualize:
Overvaluation
Undervaluation
Reversion zones
2030 Label
The label:
2030 Implied Price = $X
represents the terminal valuation implied by your assumptions. This is the most important output of the model.
What Makes the Price Go Higher
To increase the implied 2030 price, one or more of these must change:
1. Higher Transaction Adoption (TV)
Inputs:
TV0
TV CAGR %
This reflects real-world economic usage.
Higher TV means XRP is settling more real value per day.
Examples:
Cross-border payments
Tokenized assets
Treasury settlement
Interbank liquidity rails
2. Higher Store-of-Value Demand (SoV)
Inputs:
SoV0
SoV CAGR %
This reflects long-term holding demand.
This is the most powerful driver of long-term price.
It models:
Institutional holdings
Strategic reserves
Collateral usage
Long-term investor behavior
3. Lower Velocity
Input:
Velocity V
Lower velocity means XRP must be held longer to support the same transaction volume.
This implies:
Reserve-like behavior
Collateralization
Treasury holding
Structural stickiness
Price is inversely proportional to velocity.
4. Lower Effective Supply
Inputs:
Supply0
Supply CAGR
Supply cap
If XRP becomes locked, escrowed, staked, or structurally held, the effective circulating supply shrinks, increasing price.
Why This Matters
Most crypto price models are:
Technical
Reflexive
Narrative-driven
Non-falsifiable
This one is:
Structural
Adoption-based
Testable
Falsifiable
If XRP never achieves the adoption implied by your inputs, the model will not justify high prices.
This indicator is a forward-looking valuation engine, not a trading tool.
It shows:
What XRP’s price must be for your beliefs about its future to be true.
It forces clarity.
It forces discipline.
And it converts stories into structure.
Blockcircle MRS - Macroeconomic Risk ScorecardOVERVIEW
This BLOCKCIRCLE MACROECONOMIC RISK SCORECARD (MRS) is a real-time economic analysis dashboard that tracks over 30 key metrics and proprietary indicators across GDP, employment, income, consumption, industrial production, yield curves, and credit markets. It consolidates data that would otherwise require monitoring dozens of separate sources into a single, actionable interface.
The core purpose is straightforward: know when conditions support risk-taking and when caution is warranted. Whether you lean aggressive or conservative, this tool gives you the data foundation to adjust your positioning across different timeframes. It delivers both daily short-term insights and a long-term perspective in one view.
WHAT MAKES IT ORIGINAL AND DIFFERENT
This indicator represents years of research into recession forecasting and macroeconomic analysis, distilled into a unified system that goes far beyond what standard economic dashboards provide.
Seven distinct recession risk methodologies run simultaneously: M1 Proprietary Composite, M2 GDP 2-Quarter Rule, M3 Yield Curve Inversion, M4 Sahm Rule, M5 Credit Stress Index, M6 Leading Indicators, and M7 Combined Method
The M1 model is a proprietary scoring system developed through extensive backtesting against historical recession data, weighting GDP, GDI, employment, income, consumption, industrial production, and delinquency data through a calibrated formula
Historical percentage changes span eight distinct lookback periods (1P through 50P), allowing you to see momentum shifts that single-period comparisons miss entirely
Quantitative ratios, including Employment/Population, GDP/GDI divergence, Income/Consumption, Monetary Velocity, Industrial Momentum, and Real Interest Rate, provide context that raw numbers alone cannot deliver
Credit stress monitoring tracks delinquency acceleration across seven loan categories, catching deterioration before it shows up in headline figures
The combined risk score synthesizes all methodologies into a single weighted output with color-coded severity levels
CORE FEATURES
Unified dashboard structure with consistent columns across all sections: VALUE, 1P%, 2P%, 3P%, 5P%, 10P%, 20P%, 30P%, 50P%, TF, STATUS, and SIG
Standardized STATUS classifications provide immediate interpretation without requiring deep economic knowledge
TF column displays data frequency for each metric (3M for quarterly, M for monthly, W for weekly, D for daily)
Compact view toggles let you hide the TF column or extended period columns when you need a cleaner display
NBER recession shading overlays historical recession periods directly on the chart with optional start/end labels
Five fully customizable moving averages with selectable sources from any risk model or economic metric
Configurable alert system with multi-condition triggers for risk threshold breaches across any methodology
Everything on the scorecard is configurable to your exact needs and wants
METRICS COVERAGE
Core Recession Metrics: Real GDP, Gross Domestic Income, Total Nonfarm Payrolls, Civilian Employment, Real Personal Income, Real Personal Consumption, Industrial Production
Key Economic Indicators: Unemployment Rate, Yield Curve (10Y-2Y), M2 Money Supply, Fed Balance Sheet, Consumer Sentiment, Leading Economic Index, ISM Manufacturing PMI, Building Permits, NY Fed Recession Probability
Financial Stress Metrics: Financial Conditions Index (NFCI), High-Yield Spread, TED Spread, Corporate Spread (BAA-AAA), VIX, Initial Jobless Claims
Delinquency Tracking: All Loans, Consumer Loans, Credit Card, Business Loans, Residential RE, Single Family Residential, Commercial RE
Quantitative Ratios: Employment/Population Ratio, GDP/GDI Ratio, Income/Consumption Ratio, Monetary Velocity, Industrial Momentum, Real Interest Rate
USE CASES
Assess economic and monetary policy impacts before making asset allocation decisions
Monitor recessionary risk through multiple independent methodologies and the unified composite score
Track credit stress as an early warning system before problems appear in broader markets
Validate or challenge economic narratives circulating in financial media against objective, sourced data
Time entries and exits in risk assets based on macro regime identification
Compare current conditions against historical precedents using the multi-period change analysis
TECHNICAL SPECIFICATIONS
Optimized data architecture reduced script complexity from 40+ request.security() calls to 38 highly efficient calls
Function-based table rendering dramatically improves execution speed and reduces loading times
Chart labels display full metric names with MA configuration details for immediate identification
Modular dashboard sections can be individually enabled or disabled based on your focus areas
Risk threshold levels are fully adjustable to match your personal risk tolerance
You can setup precise alerts to be notified when specific recessionary risk models are forecasting a potential recession in the horizon, this can be tailored to your customized needs
VaCs MLL V2Quick User Guide
S/R Levels: These are dynamic Support and Resistance lines. They represent "unmitigated" price levels. As soon as the price hits a line, it disappears to keep your chart clean.
BSL/SSL Zones: The red and green boxes represent Buy-Side Liquidity (Previous Day High) and Sell-Side Liquidity (Previous Day Low). These are magnet zones where the price often heads to hunt stop losses.
Leverage Calculator: The dashboard calculates the exact leverage you should use. If you set your "Risk Per Trade" to 5%, and the price hits the "Stop Loss Price," you will lose exactly 5% of your total capital.
Trend Status: Based on the Daily 30 EMA. If the background is Green (Bullish), look for long entries at S/R levels. If Red (Bearish), look for short entries.
MB Break & Retest MB Break & Retest + VWAP (ORB) is an Opening Range Breakout indicator built for intraday trading. It captures the first 15 minutes of the session to plot the Opening Range High, Low, and Midpoint. After the Opening Range is set, it looks for a confirmed breakout using two conditions: price must close a user-defined distance beyond the OR High or OR Low, and the breakout candle must meet a minimum 5-minute volume threshold. If both the OR High and OR Low break in the same session, the indicator flags the market as choppy and avoids taking trades.
Trades are not taken on the breakout candle. Instead, the script waits for price to retest the Opening Range midpoint and enter only when that retest shows acceptable confirmation. Optional filters include a close-position filter (requiring the candle to close in the top/bottom portion of its range), a minimum retest volume requirement, and a midpoint “respect” filter that requires price to reject away from the midpoint by a set distance rather than simply touching it.
An optional VWAP filter adds directional bias: longs are allowed only when the midpoint is sufficiently below VWAP (with a configurable buffer), and shorts are allowed only when the midpoint is sufficiently above VWAP. The VWAP line can be displayed, and the script tracks how many potential trades were filtered out by the VWAP rule.
The indicator also includes built-in trade management and visual risk tools. It plots stop-loss and take-profit zones, supports a partial profit target (taking 50% off at a specified move), and can move the stop to break-even once a configurable R:R threshold is reached. Entry, partial, break-even, stop, and target events can be labeled on the chart.
A live status panel shows the current state (watching, breakout detected, trade active, session closed, or choppy), along with OR levels, midpoint, VWAP context, and volume information. A backtest dashboard summarizes performance metrics such as net P/L, win rate, profit factor, average win/loss, long vs short stats, breakeven exits, partial exits, streaks, and VWAP-filtered counts.
SBMS RSI+MAThis is clearly indicating the RSI with colors on panel and gives idea about overbought and oversold easily in visually clear color bands.
We have made the Alerts facility for knowing the trend improving or trend slowing now.
If this is combined with RSI divergence can be best tool to spot revrsals like in case of Double Bottom OR Double Top to confirm for trade initiation.
ALL-IN ZONE X (EMA + BB + Swing + TP Panel)ALL-IN ZONE X is a technical analysis indicator designed to help traders identify high-probability trade zones using a combination of trend, volatility, and price structure.
This indicator integrates:
Exponential Moving Averages (EMA) for trend direction
Bollinger Bands (BB) to visualize volatility and price expansion
Swing structure detection to highlight potential market turning points
A Take Profit (TP) panel to assist with structured trade planning
ALL-IN ZONE X is intended for discretionary trading and educational purposes only.
It does not generate automated buy or sell orders and should be used as a confluence tool alongside proper risk management and market analysis.
Disclaimer:
This indicator does not provide financial advice. Trading involves risk, and past performance does not guarantee future results.
ALL-IN ZONE X (EMA + BB + Swing + TP Panel)ALL-IN ZONE X is a technical analysis indicator designed to help traders identify high-probability trade zones using a combination of trend, volatility, and price structure.
This indicator integrates:
Exponential Moving Averages (EMA) for trend direction
Bollinger Bands (BB) to visualize volatility and price expansion
Swing structure detection to highlight potential market turning points
A Take Profit (TP) panel to assist with structured trade planning
ALL-IN ZONE X is intended for discretionary trading and educational purposes only.
It does not generate automated buy or sell orders and should be used as a confluence tool alongside proper risk management and market analysis.
Disclaimer:
This indicator does not provide financial advice. Trading involves risk, and past performance does not guarantee future results.
VaCs-LMTF Pro V9.1 - Leverage Calc.Dynamic Take Profit (TP) and Stop Loss (SL)
How to Use This Feature in Margin Trading?
Dynamic Levels: When a "BUY" or "SELL" signal arrives, the indicator measures the current market volatility (ATR) and adjusts the stop level to allow for a "wick" margin.
RR Ratio (Reward/Risk): The default value is 1.5. You can set this to 2.0 or 3.0 to create larger targets.
Liquidity Alignment: If the TP and SL lines coincide with the Naked (Green/Red) lines on the chart, the reliability of this signal is much higher than that of a "liquidity buying" strategy.
USDC/USDT PremiumUSDC/USDT Premium Index
Overview
This indicator tracks the premium or discount of USD Coin (USDC) relative to Tether (USDT) using data from Binance. It serves as a barometer for sentiment within the stablecoin market. A premium on USDC often suggests a flight to quality or higher demand for a stablecoin perceived as more transparent and regulated.
Key Features
•
Premium Calculation: The premium is calculated as (USDC/USDT Price - 1) * 100 to represent the deviation from parity in basis points. For example, a value of 0.1 means USDC is trading at a 0.1% premium to USDT (i.e., a price of 1.001).
•
Dynamic Coloring: The indicator's line color changes based on its position relative to a moving average (MA):
•
Green: The premium is currently above its moving average, suggesting bullish momentum for USDC.
•
Red: The premium is below its moving average, indicating bearish momentum.
•
Zero Line: A zero line is plotted to clearly distinguish between a premium (above zero) and a discount (below zero).
•
Customizable MA: You can adjust the moving average period and type (SMA, EMA, etc.) to fine-tune the indicator's sensitivity.
How to Use
1.
Gauge Stablecoin Sentiment: A rising premium (green line) can indicate that traders are favoring USDC over USDT, which might happen during times of market uncertainty or concerns about USDT's reserves.
2.
Identify Shifts in Momentum: Look for the color to flip from red to green as a sign that the USDC premium is gaining strength. A flip from green to red may signal a weakening trend.
3.
Spot Extremes: Extreme deviations from the zero line can signal market stress or significant capital flows between the two major stablecoins.
Interpretation
•
Green Line (Premium > MA): Suggests that the short-term trend for the USDC premium is positive and strengthening.
•
Red Line (Premium < MA): Suggests that the short-term trend is negative, with USDC's value declining relative to its recent average against USDT.
•
Above Zero Line: USDC is trading at a premium to USDT.
•
Below Zero Line: USDC is trading at a discount to USDT.
This tool provides a nuanced view of the stablecoin ecosystem, helping traders understand capital flows and risk appetite. It is most effective when used to complement a broader market analysis strategy.
BTC Spot Premium Index (Coinbase - Binance )Overview
This indicator measures the price difference between Bitcoin (BTC) on Coinbase and Binance, providing insights into the buying pressure from US-based investors versus the global market. A positive premium suggests stronger buying activity on Coinbase, which is often interpreted as a bullish signal for BTC.
Key Features
•
Premium Calculation: The core of the indicator is the formula: Coinbase BTC Price - Binance BTC Price.
•
Visual Representation: The premium is plotted as an oscillator with a zero line. Positive values are colored green, and negative values are red, making it easy to identify the prevailing market sentiment.
•
Moving Average: A customizable moving average (default is a 20-period SMA) is included to help identify the trend of the premium. The MA line is displayed in white.
•
Adjustable Parameters: You can adjust the moving average length and type (SMA, EMA, WMA, RMA) to fit your trading style.
How to Use
1.
Identify US Market Sentiment: A sustained positive (green) premium suggests strong buying interest from the US market, which can be a precursor to price appreciation.
2.
Spot Trend Reversals: A crossover of the premium line above the zero line can signal a shift from bearish to bullish sentiment. Conversely, a cross below the zero line may indicate weakening US demand.
3.
Confirm with Moving Average: When the premium line crosses above its moving average, it can signal strengthening momentum. A cross below the MA may suggest a potential slowdown.
Interpretation
•
Green Area (Positive Premium): Indicates that BTC is trading at a higher price on Coinbase than on Binance. This is generally considered a bullish sign, as it reflects strong demand from US investors.
•
Red Area (Negative Premium): Indicates that BTC is trading at a lower price on Coinbase. This may suggest weaker demand in the US market or stronger selling pressure.
•
White Line (Moving Average): Helps to smooth out the premium data and identify the underlying trend. Use it as a dynamic support or resistance level for the premium itself.
This indicator is a powerful tool for gauging market sentiment and can be a valuable addition to any BTC trader's toolkit. However, it should be used in conjunction with other technical analysis tools and not as a standalone signal for making trading decisions.
Auto-FibsAuto Fibonacci (Auto Fib) Indicator - Description
The Auto Fibonacci (Auto Fib) indicator is a technical analysis tool that automatically plots Fibonacci retracement levels on a price chart based on recent, significant market swings. Unlike manual Fibonacci tools, auto Fib dynamically detects key swing highs and swing lows, then calculates and displays Fibonacci ratios without user intervention.
Previous Day Range MarkerThis indicator highlights the high and low of the last confirmed candle on the current timeframe and optionally displays the range of the previous trading day (Daily) on lower timeframes.
It also calculates and shows the candle range in percent, helping traders quickly assess volatility and higher-timeframe context.
All levels are plotted forward into the future and can be individually enabled or disabled.
Polynomial Trend Exhaustion & DivergencePolynomial Trend Exhaustion & Divergence
Overview
This indicator combines advanced polynomial regression analysis with momentum-based exhaustion detection and forecast-based divergence signals. It identifies potential trend reversals by analyzing when price momentum is fading (exhaustion) and when price direction conflicts with the mathematical trajectory projected by cubic polynomial forecasting (divergence).
The system uses optional source smoothing (Linear Regression Blend or Kalman filtering) to reduce noise before analysis, then applies two independent detection methods to generate high-probability reversal warnings.
Exhaustion Detection
What it detects: Trend exhaustion occurs when price is still moving in one direction but the underlying momentum is weakening—a classic early warning of potential reversal.
How it works:
The indicator calculates either a cubic polynomial regression or Kalman filter trend, then monitors the slope of that trend line. Exhaustion is detected when:
Bullish Exhaustion: The slope is positive (uptrend) but the rate of change of the slope is negative (momentum decelerating)
Bearish Exhaustion: The slope is negative (downtrend) but the rate of change of the slope is positive (momentum decelerating)
Signal filtering:
Consecutive Bars Required: Exhaustion conditions must persist for a configurable number of bars before triggering
Max Repeat Signals: Limits how many consecutive exhaustion signals can fire to prevent clustering
Cooldown Period: After hitting the max signal limit, the indicator pauses before allowing new signals
This produces clean, actionable warnings rather than noise during extended exhaustion phases.
Divergence Detection
What it detects: Divergence signals identify when the polynomial-projected future price path conflicts with current price direction—suggesting price may be overextended and due for a correction toward the forecast.
How it works:
The indicator fits a cubic polynomial to recent price data and extrapolates it forward by a configurable number of bars. It then compares:
Current price direction (rising or falling over the lookback period)
Forecast position (above or below current price)
Divergence triggers when:
Bullish Divergence: Price is falling but the polynomial forecast is above current price (suggesting upward reversion)
Bearish Divergence: Price is rising but the polynomial forecast is below current price (suggesting downward reversion)
Signal filtering:
Minimum Divergence (ATR): The forecast must be at least X ATRs away from price
Minimum Price Movement (ATR): Price must have moved at least X ATRs over the lookback period (filters out sideways noise)
Consecutive Bars Required: Divergence conditions must persist for X bars before triggering
Cooldown Period: Minimum bars between divergence signals of the same type
Key Features
Dual trend methods: Choose between Polynomial Regression or Kalman filtering for the base trend calculation
Source smoothing options: None, LinReg Blend, or Kalman filter applied to OHLC data before analysis
ATR-normalized thresholds: All filter thresholds adapt to current volatility
Anti-clustering logic: Built-in repeat limits and cooldowns prevent signal spam during extended conditions
Full alert support: All four signal types (Bull/Bear Exhaustion, Bullish/Bearish Divergence) have dedicated alert conditions
