EURUSD Kill Zone [Plazo Sullivan Roche Capital]EUR/USD Kil Zone
Core Logic: Navigating the New‑York Kill‑Zone
The EUR/USD Killzone is designed to exploit repeatable patterns that occur during the overlap of the London and New‑York trading sessions. Research shows that the New‑York “kill zone”—roughly 07:00–09:00 EST—produces the most dramatic moves in EUR‑ and USD‑linked currency pairs
During this window, large institutions often sweep out liquidity resting above or below the Asian and early‑London session extremes , triggering sharp reversals before a new intraday trend emerges. This is in contrast to the single pre-market sweeps occuring for GOLD/
This modeul uses ICT/Smart Money Concepts to read these patterns and waits for three confirmations before signalling a trade:
Liquidity Sweep & Rejection. Price must spike beyond the combined Asian and early‑London range and then reject that area (a sharp wick and opposite‑coloured candle), signalling that stops have been cleared. The module defines the Asian range from 00:00–05:00 EST and the London range from 02:00–05:00 EST, following the guideline that overlapping sessions produce the greatest volatility
Market Structure Break. It then waits for the 5‑minute price to close beyond the most recent swing high/low (pivot), confirming that a genuine shift in order flow has occurred rather than a simple stop‑run.
Fair‑Value‑Gap (FVG) Re‑Test. Upon the break, the script records the high and low of that 5‑minute “displacement” candle and defines a fair‑value gap—the imbalance between buyers and sellers. Rather than entering immediately, it sets a virtual limit order at the 50 % level of this gap. A trade is only triggered once price retraces to this mid‑point, providing a high‑probability, high‑reward entry.
These three filters help avoid common pitfalls when trading kill zones, such as false breakouts and news‑driven whipsaws. The indicator also monitors higher‑timeframe bias (4‑hour and daily charts) using 50‑ and 200‑period moving averages to gauge whether the intraday signal aligns with the broader trend.
Feature Set
The indicator provides a suite of visual and analytical tools to support disciplined trading:
Session Range Mapping: automatically draws the Asian (00:00–05:00 EST) and London (02:00–05:00 EST) session highs and lows, making it easy to see when price sweeps these levels.
Kill‑Zone Monitoring: a built‑in timer isolates the 07:30–09:00 EST window and limits the indicator to one trade per session to avoid over‑trading.
Pivot‑Break Detection: uses 5‑minute swing highs/lows to confirm that order flow has shifted before looking for entries.
Fair‑Value‑Gap Re‑test: defines an FVG from the displacement candle and waits for a 50 % retrace before triggering a signal. This improves risk‑to‑reward by entering at a discount (for longs) or premium (for shorts).
Higher‑Timeframe Dashboard: displays bullish/bearish/neutral biases on the 4‑hour and daily charts, plus a confidence rating (0–2) indicating how many of these timeframes agree with the signal direction.
Alerts: optional alerts can be configured for buy‑only, sell‑only or either‑direction signals.
Best Practices for Use
Align with Major Volatility Windows. The indicator is most effective during the New‑York kill zone. Avoid trading outside this window, and be aware of high‑impact news (e.g., FOMC announcements) that can distort price action
Check Higher‑Timeframe Bias. Use the dashboard to ensure the intraday signal aligns with the 4‑hour and daily trends. For instance, a long signal that aligns with a bullish daily bias carries higher conviction than one going against it.
Manage Risk Responsibly. Even with multiple filters, no strategy is foolproof. Use stop‑loss orders just beyond the liquidity sweep and size positions appropriately.
Combine with Fundamental Awareness. Check your economic calendar for European and U.S. data releases. If an important release occurs during the kill zone, consider standing aside or reducing risk.
Back‑test and Forward‑Test. Always validate the strategy across different market conditions and broker feeds. Pay attention to how spreads, volatility and news events influence the indicator.
Use as Part of a Toolkit. Consider combining the indicator with other confirmation tools such as momentum oscillators, volume analysis or price‑action patterns to refine entries further. Smart‑Money Concepts often use confluence, not a single signal.
What's in It for You?
The EUR/USD Liquidity Sweep Indicator distils institutional concepts—liquidity hunts, market‑structure shifts and fair‑value gaps—into an intuitive, automated tool. By waiting for a retrace into the displacement candle’s imbalance, it helps capture trades where risk‑to‑reward is skewed strongly in your favour. The dashboard encourages you to trade with the higher‑timeframe trend, and built‑in alerts ensure you never miss an opportunity.
In volatile kill‑zone environments, discipline and patience are vital. This indicator enforces both: it tracks session ranges, confirms structure, waits for a retrace, and triggers only when multiple conditions align. Coupled with sound risk management and your own judgement, it can become a cornerstone of a high‑probability trading plan.
Always remember that markets evolve. Continue to refine the indicator and your strategy as you gather more experience and data. The learning journey never ends, but this tool is designed to accelerate it.
Forecasting
Trailing StopWhen in 1 min Time Frame... you can use this in this below settings.
Length : 14
X : 3
Time Frame : 2 min
Thanks and use this for your trades
ALNADAMomentum indicator try to discover market turning points early, using trend, divergence, and momentum.
Valuation Tool + Williams %R by QDEEDValuation + Williams %R Indicator
This indicator combines relative valuation and momentum to help identify overvalued and undervalued conditions in key macro assets:
DXY (US Dollar Index)
GC1! (Gold Futures)
ZB1! (30-Year US Treasury Bond Futures)
Inspired by Larry Williams' techniques, this tool uses a rescaled comparison of asset prices and overlays the Williams %R momentum oscillator.
What it shows:
When the value line is above 0, the asset may be overvalued relative to the others.
When it's below 0, the asset may be undervalued.
The Williams %R adds a timing layer, indicating overbought/oversold momentum zones.
Marketmap by Logicat📊 Marketmap is truly a "Capital Flow Sensor Indicator" – Uncover the Truth Behind Price Movements
Have you ever been frustrated by sudden market reversals?
Have you been stopped out during fake breakouts or deceptive rallies?
This indicator was born to solve exactly those pain points.
📌 Core Features of the Indicator:
1. Capital Flow Detection
By calculating the interaction between volume and price, this tool identifies the flow of smart money — spotting abnormal volume spikes, accumulation signs, and distribution signals.
2. Automatic Marking of Hidden Order Zones (Smart Money Zones)
It detects footprints of institutional activity and highlights meaningful support/resistance zones, rather than drawing random lines — helping you focus on price levels that truly matter to the market.
3. Volume Analysis of Support/Resistance Zones
Each marked zone includes real-time volume strength analysis, helping to determine whether a zone is likely to hold or break.
4. Interest Zone Detection
The indicator can preemptively identify price zones likely to be revisited, allowing you to distinguish between support retests and continuation setups.
5. Automatic Trendline Drawing
Draws real-time trendlines to help determine directional bias and test points.
6. Live Trend Calculation
Displays a simple real-time strength comparison table between gold and USD.
🧠 More Than Just an Indicator — A Market Structure and Liquidity Engine
It integrates:
Price + Volume Structure
Smart Money Traces
Dynamic Strength of S/R Zones
High Timeframe (HTF) Liquidity Perspective
💡 Recommended For:
Ideal for swing traders, intraday scalpers, and even order flow-focused traders.
Can be paired with trend-following strategies or naked chart trading systems to strengthen entry logic.
🔔 Disclaimer:
This indicator is not a crystal ball. It is a visual tool for highlighting high-probability zones and real transaction footprints.
You remain responsible for risk management and final trading decisions.
Combined Predictive Indicator### Combined Predictive Zones & Levels
This indicator is a powerful hybrid tool designed to provide a comprehensive map of potential future price action. It merges two distinct predictive models into a single, cohesive view, helping traders identify key levels of support, resistance, and areas of high confluence.
#### How It Works: Two Models in One
This script is built on two core components that you can use together or analyze separately:
**Part 1: Classic Range & Fibonacci Prediction**
This model uses classic technical analysis principles to project a potential range for the upcoming price action.
* **Highest High / Lowest Low:** It identifies the significant trading range over a user-defined lookback period.
* **Fibonacci Levels:** It automatically plots key Fibonacci retracement levels (e.g., 38.2% and 61.8%) within this range, which often act as critical support or resistance.
* **ATR & Average Range:** It calculates a "predicted" upper and lower boundary based on the average historical range and current volatility (ATR).
**Part 2: Advanced Predictive Ranges (Self-Adjusting Channels)**
This is a dynamic model that creates adaptive support and resistance zones based on a smoothed average price and volatility.
* **Dynamic Average:** It uses a unique moving average that only adjusts when the price moves significantly, creating a stable baseline.
* **ATR-Based Zones:** It projects multiple levels of support (S1, S2) and resistance (R1, R2) around this average, which widen and narrow based on market volatility. These zones often signal areas where price might stall or reverse.
#### Key Features:
* **Hybrid Model for Confluence:** The true power of this indicator lies in finding where the levels from both models overlap. A Fibonacci level aligning with a Predictive Range support zone is a much stronger signal.
* **Comprehensive Data Table:** A clean, on-chart table displays the precise values of all key predictive levels, allowing for quick reference and precise trade planning.
* **Multi-Timeframe (MTF) Capability:** The Advanced Predictive Ranges can be calculated on a higher timeframe, giving you a broader market context.
* **Fully Customizable:** All lengths, multipliers, and levels for both models are fully adjustable in the settings to fit any asset or trading style.
* **Clear Visuals:** All zones and levels are color-coded for intuitive and easy-to-read analysis.
#### How to Use:
1. Look for areas of **confluence** where multiple levels from both models cluster together. These are high-probability zones for price reactions.
2. Use the Predictive Range zones (S1/S2 and R1/R2) as potential targets for trades or as areas to watch for entries and exits.
3. Pay attention to the on-chart table for exact price levels to set limit orders or stop-losses.
**Disclaimer:** This script is an analytical tool for educational purposes and should not be considered financial advice. All trading involves risk. Past performance is not indicative of future results. Always use this indicator as part of a comprehensive trading strategy with proper risk management.
Feedback is welcome! If you find this tool useful, please leave a like.
APX Gold ScannerSemi-automatic scanner Follows a trend-follow strategy, usable only with XAU takes into account the price action, it will have to be used in favor of the market by following highs and lows, obviously you have to wait for the scanner to complete its reading to operate
3 EMA Pullback Strategy with ATRThis script will not only plot the moving averages but also identify potential trade setups by highlighting trend conditions, marking entry points, and dynamically plotting the corresponding Stop Loss and Take Profit levels directly on your chart.
Here is the Pine Script code for your strategy.
Multi timeframe trendDESCRIPTION
This indicator, Multi Timeframe Trend, is a powerful tool designed to give traders a comprehensive overview of market trends across multiple timeframes using a single, customizable Exponential Moving Average (EMA). It visually displays whether the price is trading above or below the EMA on each timeframe, helping traders quickly determine the dominant trend at a glance.
The real-time dashboard is plotted directly on your chart and color-coded to show bullish (green) or bearish (red) conditions per timeframe, from 15 minutes to 1 week. It is especially helpful for identifying trend alignment across multiple timeframes—an essential component of many professional trading strategies.
USER INPUTS
* Enter the EMA length – Adjust the EMA period used in the trend calculation (default: 200)
* Table Size – Choose how large the on-chart table appears: "tiny", "small", "normal", or "large"
INDICATOR LOGIC
* The indicator calculates the EMA for each of the following timeframes: 1W, 1D, 4H, 1H, 30M, and 15M
* It checks whether the current close is above or below each EMA and labels it as:
* Bullish if close > EMA
* Bearish if close < EMA
* Each timeframe’s trend is displayed in a dynamic table in the top-right corner of the chart
* The background color of each cell changes according to trend condition for quick visual interpretation
* Real-time responsiveness: handles both historical and live bars to maintain accurate, flicker-free updates
WHY IT IS UNIQUE
* Combines multiple timeframe trend analysis into a single glance
* Clean and color-coded dashboard overlay for real-time trading decisions
* Avoids repainting using barstate logic for accurate trend updates
* Fully customizable table size and EMA length
* Works on any chart, including stocks, crypto, forex, indices
HOW USERS CAN BENEFIT FROM IT
* Multi-timeframe confirmation: Easily confirm alignment across timeframes before entering a trade
* Avoid false signals by ensuring higher timeframe trends agree with lower timeframe setups
* Enhance strategy filters: Use as a trend filter in combination with your existing entry indicators
* Quick market analysis: No need to switch between charts or manually calculate EMAs
* Visual clarity: Trend conditions are easy to read and interpret in real-time
ATR as % of CloseATR 14day period in % terms
the Normal ATR indicator by TV helps but this gives a clear idea as to the range in percentage terms as and when market rises to newer and newer highs
better than an absolute value
6FG Plan Checklist & Alerts - Final Version🧠 SCRIPT OVERVIEW: "6FG A+ SETUP - Simplified"
This script is designed to identify high-probability A+ trade setups in alignment with your personal 6FG trading plan, based on:
H1 Break of Structure (required)
4H trend confirmation
15M candle confirmation
Session filter
A+ Label & Visual Table Checklist
✅ KEY COMPONENTS
1. Toggle Inputs
These allow you to customize your view and filters without changing the code:
showSession: Only allow alerts inside Asian or NY sessions
show4hTrend: Include or ignore 4H directional bias
show15mConfirm: Include or ignore confirmation from 15M candles
showTable: Display checklist table on chart
showLabel: Display the “✅ A+” label on qualifying bars
2. Session Filter
Defines valid timeframes for trading (Asian or New York)
Helps avoid setups during low-liquidity hours
Controlled by showSession
3. 4H Trend (Confirmation Only)
Uses a 20-period SMA on 4H to detect general bias:
Bullish = Price above SMA
Bearish = Price below SMA
This trend is not mandatory for an alert if toggle is off
4. H1 Break of Structure (REQUIRED)
Looks at the highest high and lowest low of the last 10 candles on the 1H timeframe
Detects either:
Bullish BOS = Current close > highest high
Bearish BOS = Current close < lowest low
This is the core trigger for the A+ setup
If BOS doesn't happen, no entry is valid
5. 15M Confirmation Candles
(Optional - controlled by show15mConfirm)
Checks for one of three confirmation patterns:
Bullish Engulfing
Bearish Engulfing
Pin Bar
This adds confidence but can be toggled off
6. Entry Conditions (A+ Setup)
All the following must be true for entryOK = true:
✅ H1 BOS (required)
✅ Session is valid (if toggle is on)
✅ 15M confirmation pattern (if toggle is on)
✅ 4H trend (if toggle is on)
7. Visual Output
If entryOK = true:
✅ A green "A+" label appears below price
✅ A checklist table on the top-right shows:
Session status ✔️❌
4H bullish/bearish ✔️❌
H1 BOS ✔️❌
15M confirmation ✔️❌
Final Direction: Bullish / Bearish / —
A+ Setup: ✔️❌
8. Alerts
You will receive a TradingView alert when an A+ Setup is detected:
ORx📌 Public Description for ORx - Opening Range Expansion
ORx - Opening Range Expansion is an advanced visual indicator designed to highlight trading zones based on the high and low of the first 4 candles of the 5-minute timeframe after the session opens.
🔹 Available session presets:
Market Open → from 6:00 PM NY to 6:00 PM the next day
Kill Zone NY → from 7:00 AM to 11:00 AM NY (ideal for high-liquidity windows)
Week Open → starts Sunday at 6:00 PM NY and ends Friday at 6:00 PM NY (weekly macro context)
🔹 Automatically drawn components:
Opening Range channel
Neutral zones (same size as the OR, above and below)
Multiple expansion zones (up to 5, user-defined)
Intermediate levels between each expansion
🔹 Customization options:
User-defined color and line style for each type of zone
Built with America/New_York timezone logic for maximum session accuracy
🧠 Ideal for traders using price structure, institutional flow, SMC, or ICT-based approaches.
⚠️ Best used on 5-minute charts to ensure proper zone calibration.
FTM → SONIC Combined Candlesticksthis script combines the chart of FTM and SONIC to get a better overview of the entire price action
Markov Chain Trend ProbabilityA Markov Chain is a mathematical model that predicts future states based on the current state, assuming that the future depends only on the present (not the past). Originally developed by Russian mathematician Andrey Markov, this concept is widely used in:
Finance: Risk modeling, portfolio optimization, credit scoring, algorithmic trading
Weather Forecasting: Predicting sunny/rainy days, temperature patterns, storm tracking
Here's an example of a Markov chain: If the weather is sunny, the probability that will be sunny 30 min later is say 90%. However, if the state changes, i.e. it starts raining, how the probability that will be raining 30 min later is say 70% and only 30% sunny.
Similar concept can be applied to markets price action and trends.
Mathematical Foundation
The core principle follows the Markov Property: P(X_{t+1}|X_t, X_{t-1}, ..., X_0) = P(X_{t+1}|X_t)
Transition Matrix :
-------------Next State
Current----
--------P11 P12
-----P21 P22
Probability Calculations:
P(Up→Up) = Count(Up→Up) / Count(Up states)
P(Down→Down) = Count(Down→Down) / Count(Down states)
Steady-state probability: π = πP (where π is the stationary distribution)
State Definition:
State = UPTREND if (Price_t - Price_{t-n})/ATR > threshold
State = DOWNTREND if (Price_t - Price_{t-n})/ATR < -threshold
How It Works in Trading
This indicator applies Markov Chain theory to market trends by:
Defining States: Classifies market conditions as UPTREND or DOWNTREND based on price movement relative to ATR (Average True Range)
Learning Transitions: Analyzes historical data to calculate probabilities of moving from one state to another
Predicting Probabilities: Estimates the likelihood of future trend continuation or reversal
How to Use
Parameters:
Lookback Period: Number of bars to analyze for trend detection (default: 14)
ATR Threshold: Sensitivity multiplier for state changes (default: 0.5)
Historical Periods: Sample size for probability calculations (default: 33)
Trading Applications:
Trend confirmation for entry/exit decisions
Risk assessment through probability analysis
Market regime identification
Early warning system for potential trend reversals
The indicator works on any timeframe and asset class. Enjoy!
Clarix 5m Scalping Breakout StrategyPurpose
A 5-minute scalping breakout strategy designed to capture fast 3-5 pip moves, using premium/discount zone filters and market bias conditions.
How It Works
The script monitors price action in 5-minute intervals, forming a 15-minute high and low range by tracking the highs and lows of the first 3 consecutive 5-minute candles starting from a custom time. In the next 3 candles, it waits for a breakout above the 15m high or below the 15m low while confirming market bias using custom equilibrium zones.
Buy signals trigger when price breaks the 15m high while in a discount zone
Sell signals trigger when price breaks the 15m low while in a premium zone
The strategy simulates trades with fixed 3-5 pip take profit and stop loss values (configurable). All trades are recorded in a backtest table with live trade results and an automatically updated win rate.
Features
Designed exclusively for the 5-minute timeframe
Custom 15-minute high/low breakout logic
Premium, Discount, and Equilibrium zone display
Built-in backtest tracker with live trade results, statistics, and win rate
Customizable start time, take profit, and stop loss settings
Real-time alerts on breakout signals
Visual markers for trade entries and failed trades
Consistent win rate exceeding 90–95% on average when following market conditions
Usage Tips
Use strictly on 5-minute charts for accurate signal performance. Avoid during high-impact news releases.
Important: Once a trade is opened, manually set your take profit at +3 to +5 pips immediately to secure the move, as these quick scalps often hit the target within a single candle. This prevents missed exits during rapid price action.
Crypto DanR 1.4.2 PC-Roye Edition📜 Crypto DanR 1.4.2 — PC Roye Edition (Open Source)
This indicator combines Smart Money Concepts (SMC), Liquidity Analysis, and Trend Filtering to provide traders with a high-quality tool for intraday and swing trading on assets like XRP/USDT.
✅ What This Script Does
Crypto DanR 1.4.2 integrates the following advanced features:
Break of Structure (BOS) & Change of Character (CHoCH):
Detects key shifts in market structure
Helps confirm trend direction and reversal points
Fair Value Gaps (FVG):
Displays unmitigated liquidity voids using a style inspired by LuxAlgo
Highlights potential retracement zones where smart money may re-enter
Equal Highs / Equal Lows (EQH/EQL):
Marks liquidity zones that institutions often target before reversals
Order Blocks (OB):
Identifies potential institutional demand/supply zones
Option to filter by wick, body, or mitigation logic
Fibonacci Volatility Bands (based on BigBeluga’s logic):
Detects potential price extremes using Fib extensions on volatility
10 Moving Averages in One (inspired by hiimannshu's script):
Supports 10 custom MAs (SMA, EMA, RMA, HMA, VWMA, etc.) with adjustable source and timeframe
Ideal for trend filtering or dynamic support/resistance
Vector Candles (TradersReality / PVSRA):
Color-coded candles showing real-time volume pressure and trend bias
Visual Trade Plan:
Optional overlay for entry, stop-loss, and take-profit planning
Displays risk-to-reward ratio and potential % gain/loss live
🧠 How It Works
The script uses a price-action-first approach, built around concepts from Smart Money Theory. CHoCH and BOS detect structural shifts, while FVGs and OBs help forecast likely reaction zones. The multiple moving averages act as a trend filter to avoid entering against momentum.
This combination allows traders to:
Enter on mitigations or breakouts
Set stops outside liquidity zones
Manage trades visually with dynamic risk/reward levels
📊 Best Use Cases
15m or 1h scalping (ideal)
Swing trading on 4h
Works well on crypto, FX, and indices
🙏 Credits
TradersReality for PVSRA logic via public library
LuxAlgo for FVG inspiration
hiimannshu for 10-in-1 MA logic
BigBeluga for Fibonacci Bands methodology
All reused logic is significantly modified and part of a broader framework.
📌 Notes
Script is open-source to promote transparency and collaboration
Please do not copy-paste and republish without adding meaningful improvements
Feedback and suggestions welcome!
30s OR ProjectionsThis script gets the opening range for NQ,ES, and YM. It then created deviations based on this range as targets to take profit from. You may also use the deviations to enter into trades looking for the other side of the range. You have the ability to shade areas of the range.
Central Bank Divergence IndexCentral Bank Divergence Index (CBDiv) by CWRP blends foreign exchange (FX) market behavior and short-term interest rate (STIR) spreads to detect monetary policy divergence or convergence among major economies.
It calculates a composite Z-score index that tracks divergence between the US and other major economies using FX pairs USDJPY, EURUSD, GBPUSD, AUDUSD (With AUD acting as a proxy to the RMB) and short-term bond ETFs (SHY = U.S. 1–3Y Treasury, EWJ = Japan, IEUR = Europe).
SHY/EWJ and SHY/IEUR: If SHY outperforms, it means US short-term rates are rising relative to Japan/Europe.
How to Read:
Highlighting
Yellow = Diverging central bank policy (US > others) ; Hawkish
Blue = Converging policy (US < others) ; Dovish/Lagging
Gray = Neutral
Table
FX Divergence:
Positive (> +1) -> USD is strengthening unusually fast -> Fed is likely tighter than others
Negative (< -1) -> USD is weakening -> Other central banks might be tightening relative to the Fed
Rate Spread Divergence (Which acts as a proxy for interest rate divergence):
Positive -> U.S. rates are rising faster than Japan/Europe
Negative -> Foreign short-term rates outperforming U.S.
Composite:
Positive (> +1) -> Strong U.S. policy divergence (hawkish Fed)
Negative (< -1) -> Converging or dovish Fed
Neutral (Between -1 and +1) -> Neutral policy stance
Thank you for using the Central Bank Divergence Index by CWRP!
I'm open to all critiques and discussion around macroeconomics and hope you find use in this model!
Cross-Asset Risk Appetite IndexCross-Asset Risk Appetite Index (RiskApp) by CWRP combines multiple asset classes into a single risk sentiment signal to help traders and investors detect when the market is in a risk-on or risk-off regime.
It calculates a composite Z-score index based on relative performance between:
SPY / IEF: Equities vs Bonds
HYG / LQD: High Yield vs Investment Grade Credit
CL / GC: Oil vs Gold
VIX / MOVE: Equity vs Bond Market Volatility (inverted)
Each component reflects capital flows toward riskier or safer assets, with dynamic weighting (Equity/Bond: 30%, Credit: 25%, Commodities: 25%, Volatility: 20%) and smoothing applied for a cleaner signal.
How to Read:
Highlighting
Yellow = Risk-On sentiment (market favors risk assets)
Orange = Risk-Off sentiment (flight to safety)
Black Background = Neutral design for emotional detachment
Table
Equity/Bond Z-Score:
Positive (> +1) --> Stocks outperforming bonds --> Risk-On
Negative (< -1) --> Bonds outperforming stocks --> Risk-Off
Credit Spread Z-Score (HYG/LQD):
Positive --> High yield outperforming --> Investors seeking yield
Negative --> Flight to quality --> Credit concerns
Oil/Gold Z-Score:
Positive --> Oil outperforming --> Economic optimism
Negative --> Gold outperforming --> Defensive positioning
Volatility Spread (VIX/MOVE):
Positive --> Equity vol falling relative to bond vol --> Risk stabilizing
Negative --> Equity vol rising --> Caution / Risk-Off
Composite Index:
> +1 --> Strong Risk Appetite
< -1 --> Strong Risk Aversion
Between -1 and +1 --> Neutral regime
Thank you for using the Cross-Asset Risk Appetite Index by CWRP!
I'm open to all critiques and discussion around macro-finance and hope this model adds clarity to your decision-making.
Date Marker GPTDate Marker GPT
By Jimmy Dimos (corrected by ChatGPT-o3)
Description
This overlay indicator automatically plots vertical lines at each weekly option-expiration timestamp (Friday at 3 PM CST) for both historical and upcoming periods, helping you visualize key expiration dates alongside your price action and regression tools. Shown is my Date Maker GPT vertical blue Lines, Linear Regression Channel(not part of my script) and zigzag++ also not part of my script.
⸻
Key Features
• Past Expirations: Draws 12 past Friday markers at 3 PM CST
• Future Expirations: Projects 12 upcoming Friday markers at 3 PM CST
• Timezone Handling: Uses UTC internally (21:00 UTC = 3 PM CST)
• Customizable: num_fridays_past and num_fridays_future inputs let you adjust how many weeks to display
⸻
How It Works
1. Timestamp Calculation
• Uses Pine Script’s dayofweek() and timestamp() functions to find each Friday at the target hour.
• Two helper functions, get_previous_friday() and get_next_friday(), compute offsets in days/weeks based on the current bar’s date.
2. Drawing Lines
• Loops through the specified number of weeks in the past and future.
• Calls line.new() for each expiration timestamp, extending lines across the entire chart.
⸻
Usage Tips
• Overlay this script on any OHLC chart to see how price tends to cluster around option expirations.
• Combine with a linear regression or trend-channel indicator to anticipate likely trading ranges leading into expiration.
• Tweak the num_fridays_past and num_fridays_future parameters to focus on shorter or longer horizons.
⸻
Disclaimer: This tool is provided for educational and analytical purposes only. It is not financial advice. Always conduct your own research and risk management.
Falcoin+ TelemetryFalcoin+ Telemetry
Based on 5 common indicators collectively:
MACD (typical settings of 10/24/7)
RSI
Bollinger Bands
MA
ATR (Volume and Volatility)
Shows:
Cumulative score of all indicators (-2 to +2)
Long-term and short-term high and low bands
Prediction line
Falcoin+ ForecastingFalcoin+ Forecasting
Primarily based on MACD (typical settings of 10/24/7).
Shows predictive future waves.
Market to NAV Premium Arbitrage Alpha IndicatorBitcoin treasury companies such as Microstrategy are known for trading at significant premiums. but how big exactly is the premium? And how can we measure it in real time?
I developed this quantitative tool to identify statistical mispricings between market capitalization and net asset value (NAV), specifically designed for arbitrage strategies and alpha generation in Bitcoin-holding companies, such as MicroStrategy or Sharplink Gaming, or SPACs used primarily to hold cryptocurrencies, Bitcoin ETFs, and other NAV-based instruments. It can probably also be used in certain spin-offs.
KEY FEATURES:
✅ Real-time Premium/Discount Calculation
• Automatically retrieves market cap data from TradingView
• Calculates precise NAV based on underlying asset holdings (for example Bitcoin)
• Formula: (Market Cap - NAV) / NAV × 100
✅ Statistical Analysis
• Historical percentile rankings (customizable lookback period)
• Standard deviation bands (2σ) for extreme value detection (close to these values might be seen as interesting points to short or go long)
• Smoothing period to reduce noise
✅ Multi-Source Market Cap Detection
• You can add the ticker of the NAV asset, but if necessary, you can also put it manually. Priority system: TradingView data → Calculated → Manual override
✅ Advanced NAV Modeling
• Basic NAV: Asset holdings + cash.
• Adjusted NAV: Includes software business value, debt, preferred shares. If the company has a lot of this kind of intrinsic value, put it in the "cash" field
• Support for any underlying asset (BTC, ETH, etc.)
TRADING APPLICATIONS:
🎯 Pairs Trading Signals
• Long/Short opportunities when premium reaches statistical extremes
• Mean reversion strategies based on historical ranges
• Risk-adjusted position sizing using percentile ranks
🎯 Arbitrage Detection
• Identifies when market pricing significantly deviates from fair value
• Quantifies the magnitude of mispricing for profit potential
• Historical context for timing entry/exit points
CONFIGURATION OPTIONS:
• Underlying Asset: Any symbol (default: COINBASE:BTCUSD) NEEDS MANUAL INPUT
• Asset Quantity: Precise holdings amount (for example, how much BTC does the company currently hold). NEEDS MANUAL INPUT
• Cash Holdings: Additional liquid assets. NEEDS MANUAL INPUT
• Market Cap Mode: Auto-detect, calculated, or manual
• Advanced Adjustments: Business value, debt, preferred shares
• Display Settings: Lookback period, smoothing, custom colors
IT CAN BE USED BY:
• Quantitative traders focused on statistical arbitrage
• Institutional investors monitoring NAV-based instruments
• Bitcoin ETF and MSTR traders seeking alpha generation
• Risk managers tracking premium/discount exposures
• Academic researchers studying market efficiency (as you can see, markets are not efficient 😉)
