Interest Rate ExpectationsThis indicator shows how much rate cuts or hikes are currently priced into SOFR futures. You choose two SOFR contracts and the script converts each contract price into basis points relative to the current effective fed funds rate. This gives you a very clear view of how policy expectations shift over time.
You can switch between using a fixed EFFR value or pulling the live EFFR ticker. Colours for each line and label are fully adjustable. The script also includes an optional grid for the plus or minus 25, 50 and 75 basis point levels so the chart does not zoom out too far.
Labels appear at the end of both lines and display how many basis points of cuts or hikes are priced for each contract. A small reference box is added on the chart to remind you what each quarterly code represents. For example H is March and Z is December.
The background shading highlights changes in the timing of cuts. Green shading means the market is pushing cuts further out in time. Red shading means cuts are being pulled closer. This gives a simple and visual way to track how the curve reprices near term versus long term policy expectations.
This tool is useful for anyone tracking fed path repricing, front end volatility, macro catalysts or cross asset rate sensitivity.
Siklus
The Quantum Leap: Renko + ML(Note: This indicator uses the BackQuant & SuperTrend which takes a 4-5 seconds to load)
This strategy uses the following indicators (please see source code)
Synthetic Renko: Ignores time and focuses purely on price movement to detect clear trend reversals (Red-to-Green).
ATR (Average True Range): Measures volatility to calculate the Renko brick sizes and SuperTrend sensitivity.
Adaptive SuperTrend: A trend filter that uses volatility clustering to confirm if the market is currently in a "Bearish" state.
RSI (Relative Strength Index): A momentum gauge ensuring the asset is "Oversold" (exhausted) before we consider a setup.
Monthly Pivots: Horizontal support lines based on last month's data acting as price "floors" (S1, S2, S3).
SMA (Simple Moving Average): A 100-bar average ensuring we are strictly buying below the long-term mean (deep value).
BackQuant (KNN): A Machine Learning engine that compares current data to historical patterns to predict immediate momentum.
This is a sophisticated, multi-stage strategy script. It combines "Old School" price action (Renko) with "New School" Machine Learning (KNN and Clustering).
Here is the high-level summary of how we will break this down:
Topic 1: The "Bottom Hunter" Setup. How the script uses Renko bricks and aggressive filtering (SuperTrend, SMA, RSI, Pivots) to find a potential market bottom.
Topic 2: The ML Engine (BackQuant & SuperTrend). How the script uses K-Nearest Neighbors (KNN) to predict momentum and Volatility Clustering to adjust the SuperTrend.
Topic 3: The "Leap" Execution. How the script synchronizes the Setup (Topic 1) with the ML Trigger (Topic 2) using a time window.
Topic 1: The "Bottom Hunter" Setup
This script is designed as a Mean Reversion strategy (often called "catching a falling knife" or "bottom fishing"). It is trying to find the exact moment a downtrend stops and reverses.
Most strategies buy when price is above the 200 SMA or above the SuperTrend. This script does the exact opposite.
The Logic:
Renko Bricks: It simulates Renko bricks internally (without changing your chart view). It waits for a specific pattern: A Red Brick followed immediately by a Green Brick (a reversal).
The "Bearish" Filters: To generate a "WATCH" signal, the following must be true:
Price < SuperTrend: The market must officially be in a downtrend.
Price < SMA: Long-term trend is down.
Price < Monthly Pivot: Price is deeply discounted.
RSI < Threshold: The asset is oversold (exhausted).
Recommended Settings for daily signals for Stocks :
Confirmation : 10. (How many bars after Renko Buy signal the AI has to identify a bullish move).
Percentage : 2 (This is the Renko bar size. This represents 2% move.)
SMA: 100 (Signal must be found below 100 SMA)
Price must be below: PIVOT (This is the monthly Pivot levels)
Мой скриптinputs:
window(1),
type(0), // 0: close, 1: high low, 2: fractals up down, 3: new fractals
persistent(False),
exittype(1),
nbars(160),
adxthres(40),
nstop(3000);
vars:
currentSwingLow(0),
currentSwingHigh(0),
trailStructureValid(false),
downFractal(0),
upFractal(0),
breakStructureHigh(0),
breakStructureLow(0),
BoS_H(0),
BoS_L(0),
Regime(0),
Last_BoS_L(0),
Last_BoS_H(0),
PeakfilterX(false);
BoS(window,persistent,type,Bos_H,BoS_L,upFractal,downFractal,breakStructureHigh,breakStructureLow);
//BOS Regime
If BoS_H <> 0 then begin
Regime = 1; // Bullish
Last_BoS_H = BoS_H ;
end;
If BoS_L <> 0 Then begin
Regime = -1; // Bearish
Last_BoS_L = BoS_L ;
end;
//Entry Logic: if we are in BoS regime then wait for break swing to entry
if ADX(5) of data2 < adxthres then begin
if time>900 and Regime = 1 and EntriesToday(date)= 0 and Last_BoS_H upFractal then buy next bar at market;
end;
if time>900 and EntriesToday(date)= 0 and Regime = -1 and Last_BoS_L>downFractal then
begin
if close < downFractal then sellshort next bar at market;
end;
end;
// Exits: nbars or stoploss or at the end of the day
if marketposition <> 0 and barssinceentry >nbars then begin
sell next bar at market;
buytocover next bar at market;
end;
setstoploss(nstop);
setexitonclose;
HOKO,PSPHOKO is a multifunctional chart-overlay designed to display clean market context and detect PSP (Price-Structure Projection) signals based on candle-body direction differences between the main symbol and two reference indices.
The indicator provides two core features:
1. Header Display (Symbol / Timeframe / Date / Mode System)
HOKO allows full customization of on-chart informational headers, including:
Symbol name
Timeframe (auto-formatted)
Indicator name (HOKO)
Date (Pretty or Numeric)
Multiple layout modes (6 total)
Adjustable text size, alignment, padding, row spacing, and screen position
Dynamic rendering using table objects
This creates a clean and professional display suitable for screenshots, analysis, and multi-chart layouts.
2. PSP Logic (Price Structure Projection)
The PSP engine compares the main chart’s candle direction to two reference symbols (default: ES1! and YM1!).
A violation occurs when the main candle is bullish while the reference candle is bearish, or vice-versa.
The script:
Calculates ATR-based dynamic marker offsets
Stores the last 3 bars
Detects Swing High PSP and Swing Low PSP based on a 3-candle swing structure
Confirms signals only if the middle candle contains a violation
Draws markers above/below the swing point with fully customizable shapes, colors, and sizes
Supports two symbols independently (Symbol 1 / Symbol 2)
Automatically deletes old labels based on a user-defined max-bar limit
This makes PSP easy to visualize and helps identify inflection points where internal weakness or strength appears before price shifts.
Key Features
Clean customizable chart header
Pretty or numeric date formats
Multiple layout modes (vertical or one-line display)
PSP detection from ES/YM divergence logic
Swing-based confirmation for higher-quality signals
Dynamic ATR offset for accurate visual spacing
Lightweight and optimized with automatic cleanup
Works on any market and any timeframe
Purpose
HOKO helps traders quickly understand market context while highlighting potential turning points caused by structural divergence between major indices. It is ideal for intraday traders using ICT-style logic, smart money concepts, or divergence-based confirmation models.
Key Levels v1Key Levels
This comprehensive multi-timeframe indicator provides traders with key price levels and opening ranges across multiple timeframes, designed to identify significant support/resistance zones and market structure.
KEY FEATURES:
📦 Monthly Range Box
- Automatically draws a box capturing the high and low of the first 9 hours of each new month
- Box extends until the next month begins
- Includes an optional mid-line showing the 50% level of the range
- Fully customizable colors, line styles, and background opacity
📊 Multi-Timeframe Open Lines
The indicator plots horizontal lines at the open price of:
- Midnight Open (00:00 session start)
- 4-Hour Open (updates every 4-hour candle)
- Daily Open (true daily candle open)
- Weekly Open (start of trading week)
- Monthly Open (start of new month)
- Yearly Open (start of new year)
🎯 Smart Label System
- Automatic label combining when multiple timeframe opens overlap at the same price
- Clean text labels positioned ahead of current price to avoid obstruction
- Labels show combined timeframes (e.g., "Monthly Open / Weekly Open")
⚙️ Customization Options
Each timeframe open line includes:
- Toggle on/off independently
- Custom color selection
- Line style options (Solid, Dashed, Dotted)
- Organized settings grouped by timeframe for easy navigation
🔧 Technical Implementation
- Uses request.security() for accurate higher timeframe data
- Works on any chart timeframe
- Lines extend 10 bars beyond current price for clear label visibility
- Efficient overlap detection prevents duplicate labels
IDEAL FOR:
✓ Identifying key institutional levels
✓ Trading range breakouts
✓ Multi-timeframe analysis
✓ Support and resistance zones
✓ Session-based trading strategies
All settings are organized chronologically from shortest to longest timeframe for intuitive configuration.
HTCTS - Session & Time LiquidityHTCTS - Session & Time Liquidity
1. ภาพรวมการทำงาน (Overview)
อินดิเคเตอร์ตัวนี้ทำหน้าที่ 4 อย่างหลักพร้อมกัน:
Auto DST (ปรับเวลาตามฤดูอัตโนมัติ): คุณไม่ต้องมานั่งแก้เวลาเมื่อตลาดต่างประเทศเปลี่ยนเวลา (Daylight Saving Time) เพราะโค้ดอ้างอิง Timezone ของตลาดนั้นๆ โดยตรง (เช่น NY ใช้ America/New_York)
Session Bars: แสดงแถบสีเล็กๆ ด้านล่างจอเพื่อบอกว่าตอนนี้อยู่ใน Session ไหน (Asia, London, NY AM, NY PM, Thai) แทนการถมสีพื้นหลังซึ่งอาจจะรกตา
High/Low Levels & Sweeps: เมื่อจบ Session โปรแกรมจะตีเส้น High และ Low ของช่วงเวลานั้นทิ้งไว้ ถ้ากราฟวิ่งไปชนเส้นเหล่านั้น (Breakout/Sweep) เส้นจะเปลี่ยนเป็นเส้นประและขึ้นข้อความว่า "(Swept)"
1. Indicator Overview and Purpose (ICT/SMC Framework)
This custom Pine Script indicator is designed specifically for traders utilizing ICT (Inner Circle Trader) or SMC (Smart Money Concepts) methodologies. Its primary function is to simplify the analysis of Time & Price by automatically defining and tracking key market sessions, their resulting liquidity levels (High/Low), and detecting liquidity sweeps (Stop Hunts).
The indicator is designed to be Zero-Maintenance regarding time zones, as it automatically adjusts for Daylight Saving Time (DST) changes in major financial centers (London, New York).
2. Key Features and Logic
A. Automatic DST Handling (Auto-DST)
The script uses specific, location-based time zones for global markets instead of a fixed GMT/UTC offset.
Asia: Uses Asia/Tokyo.
London: Uses Europe/London (Automatically adjusts for BST).
New York (AM/PM): Uses America/New_York (Automatically adjusts for EST/EDT).
This guarantees that the session times displayed on your chart (regardless of your local time, e.g., Thailand GMT+7) always align with the actual opening and closing moments of the corresponding financial market.
Weekly Separator - JammalWeekly Separator - Jammal
This script draws a clean and minimal weekly separator for better chart structure and visual clarity.
Every time a new trading week begins, the script automatically places a vertical dotted gray line extending across the entire chart.
Features:
Automatic weekly detection
Clean dotted vertical line
Light gray color to avoid clutter
Works on all timeframes
Helps identify weekly structure & price flow
Designed for traders who want a simple, non-intrusive weekly separator.
Enjoy and happy trading!
BTC STH Proxy vs Realized Price (RP) Ratio | STH : LTH📊 REALIZED PRICE MARKET SIGNAL
Indicator that builds a Short-Term Holder (STH) price proxy using a configurable moving average of Bitcoin’s market price and compares it to Bitcoin’s Realized Price (RP) derived from on-chain data.
Realized Price (RP) is calculated from CoinMetrics Realized Market Cap divided by Glassnode circulating supply.
STH Proxy is a user-defined moving average (EMA/SMA/WMA) of BTC price, designed to mimic the behavior of the true STH Realized Price.
Users can adjust the MA type, length, and RP smoothing to closely replicate the STH curve seen on Glassnode, Bitbo, and Bitcoin Magazine Pro.
Optionally, the indicator can display the STH/RP ratio, which highlights transitions between market phases.
This tool provides a simple but effective way to visualize short-term vs long-term holder cost-basis dynamics using only publicly accessible on-chain aggregates and price data.
----------
💡TLDR: An alt take on the Short-Term Holder Realized Price / Long-Term Holder Realized Price cross model | (STH/LTH cross)
- A mix of MAs are used to mimic STH.
- RP here used as a proxy for the long-term holder (LTH) cost basis.
- Bull/Bear signals are generated when the STH proxy crosses above or below RP.
⭐ Free to use • Leave feedback • Happy trading!
Nifty 10m Simple ORB TEST harish//@version=5
strategy("Nifty 10m Simple ORB TEST", overlay=true)
// 10m timeframe check
if timeframe.period != "10"
runtime.error("Use this on 10 minute timeframe")
// First 10m candle high/low (no PCR, no opposite logic – just test syntax)
newDay = ta.change(time("D")) != 0
var float dayHigh = na
var float dayLow = na
if newDay
dayHigh := na
dayLow := na
sessStart = 0915
sessEnd = 0925
hhmm = hour * 100 + minute
isFirst = na(dayHigh) and hhmm >= sessStart and hhmm < sessEnd
if isFirst
dayHigh := high
dayLow := low
// Plot first candle range
plot(dayHigh, "First High", color=color.green, style=plot.style_linebr)
plot(dayLow, "First Low", color=color.red, style=plot.style_linebr)
// Simple breakout entries just to test
longCond = not na(dayHigh) and close > dayHigh
shortCond = not na(dayLow) and close < dayLow
if longCond
strategy.entry("LONG", strategy.long)
if shortCond
strategy.entry("SHORT", strategy.short)
TMT Sessions - Hitesh NimjeTMT Sessions - Hitesh Nimje Indicator
Overview
The TMT Sessions indicator is a comprehensive trading tool designed to visualize and analyze the four major global trading sessions. It provides session-based technical analysis including ranges, trends, averages, and statistical metrics for each trading session.
Key Features
Four Global Trading Sessions
1. Session A - New York (13:00-22:00 UTC)
Color: Blue (#0000FF)
Default timeframe: US/Eastern market hours
2. Session B - London (07:00-16:00 UTC)
Color: Black (#000000)
Default timeframe: European market hours
3. Session C - Tokyo (00:00-09:00 UTC)
Color: Red (#FF0000)
Default timeframe: Asian market hours
4. Session D - Sydney (21:00-06:00 UTC)
Color: Orange (#FFA500)
Default timeframe: Australian market hours
Technical Analysis Tools
Range Analysis:
* Visual range boxes showing session high/low boundaries
* Transparent background areas with configurable transparency
* Range outline borders
* Session labels with customizable text display
Trend Analysis:
* Linear regression trendlines for each session
* Statistical metrics including:
R-squared values for trend strength
Standard deviation calculations
Correlation measurements
Statistical Indicators:
* Session Averages: Simple Moving Averages (SMA) calculated within each session
* VWAP: Volume Weighted Average Price for session-based intraday analysis
* Max/Min Lines: Highest and lowest prices recorded during each session
Visual Elements
Session Dividers:
* Visual markers showing session start/end points
* Session identification symbols (NYE, LDN, TYO, SYD)
* Configurable divider display options
Dashboard Features:
* Basic Dashboard: Session status (Active/Inactive) with color-coded indicators
* Advanced Dashboard: Additional metrics including:
Session trend strength (R-squared values)
Volume data
Standard deviation statistics
* Multiple dashboard positions (Top Right, Bottom Right, Bottom Left)
* Configurable text sizes (Tiny, Small, Normal)
Customization Options
Timezone Management:
* UTC offset adjustment (+/- hours)
* Exchange timezone option for automatic adjustment
* Session time customization
Display Settings:
* Individual session enable/disable
* Color customization for each session
* Range area transparency control
* Line description display toggle
* Session text label configuration
Use Cases
1. Session-Based Trading: Identify optimal trading times for each global session
2. Range Trading: Use session ranges as support/resistance levels
3. Trend Analysis: Track session-specific trends and momentum
4. Statistical Analysis: Monitor session volatility and trend strength
5. Market Structure: Understand how price moves across different trading sessions
Technical Specifications
* Pine Script Version: 6
* Overlays: True (displays on price chart)
* Performance: Optimized for up to 500 bars back
* Multi-element Support: Handles up to 500 lines, boxes, and labels
* Data Source: Compatible with all trading instruments and timeframes
Benefits for Traders
1. Global Market Awareness: Visual representation of all major trading sessions
2. Session Analysis: Automated calculation of key session statistics
3. Trading Strategy Development: Session-based entry and exit signals
4. Risk Management: Session ranges for stop-loss and take-profit levels
5. Market Timing: Optimal trading session identification
This indicator is particularly valuable for forex traders, day traders, and anyone who needs to understand price behavior across different global market sessions. It combines multiple technical analysis concepts into a unified, session-focused trading tool.
TRADING DISCLAIMER
RISK WARNING
Trading involves substantial risk of loss and is not suitable for all investors. Past performance is not indicative of future results. You should carefully consider whether trading is suitable for you in light of your circumstances, knowledge, and financial resources.
NO FINANCIAL ADVICE
This indicator is provided for educational and informational purposes only. It does not constitute:
* Financial advice or investment recommendations
* Buy/sell signals or trading signals
* Professional investment advice
* Legal, tax, or accounting guidance
LIMITATIONS AND DISCLAIMERS
Technical Analysis Limitations
* Pivot points are mathematical calculations based on historical price data
* No guarantee of accuracy of price levels or calculations
* Markets can and do behave irrationally for extended periods
* Past performance does not guarantee future results
* Technical analysis should be used in conjunction with fundamental analysis
Data and Calculation Disclaimers
* Calculations are based on available price data at the time of calculation
* Data quality and availability may affect accuracy
* Pivot levels may differ when calculated on different timeframes
* Gaps and irregular market conditions may cause level failures
* Extended hours trading may affect intraday pivot calculations
Market Risks
* Extreme market volatility can invalidate all technical levels
* News events, economic announcements, and market manipulation can cause gaps
* Liquidity issues may prevent execution at calculated levels
* Currency fluctuations, inflation, and interest rate changes affect all levels
* Black swan events and market crashes cannot be predicted by technical analysis
USER RESPONSIBILITIES
Due Diligence
* You are solely responsible for your trading decisions
* Conduct your own research before using this indicator
* Verify calculations with multiple sources before trading
* Consider multiple timeframes and confirm levels with other technical tools
* Never rely solely on one indicator for trading decisions
Risk Management
* Always use proper risk management and position sizing
* Set appropriate stop-losses for all positions
* Never risk more than you can afford to lose
* Consider the inherent risks of leverage and margin trading
* Diversify your portfolio and trading strategies
Professional Consultation
* Consult with qualified financial advisors before trading
* Consider your tax obligations and legal requirements
* Understand the regulations in your jurisdiction
* Seek professional advice for complex trading strategies
LIMITATION OF LIABILITY
Indemnification
The creator and distributor of this indicator shall not be liable for:
* Any trading losses, whether direct or indirect
* Inaccurate or delayed price data
* System failures or technical malfunctions
* Loss of data or profits
* Interruption of service or connectivity issues
No Warranty
This indicator is provided "as is" without warranties of any kind:
* No guarantee of accuracy or completeness
* No warranty of uninterrupted or error-free operation
* No warranty of merchantability or fitness for a particular purpose
* The software may contain bugs or errors
Maximum Liability
In no event shall the liability exceed the purchase price (if any) paid for this indicator. This limitation applies regardless of the theory of liability, whether contract, tort, negligence, or otherwise.
REGULATORY COMPLIANCE
Jurisdiction-Specific Risks
* Regulations vary by country and region
* Some jurisdictions prohibit or restrict certain trading strategies
* Tax implications differ based on your location and trading frequency
* Commodity futures and options trading may have additional requirements
* Currency trading may be regulated differently than stock trading
Professional Trading
* If you are a professional trader, ensure compliance with all applicable regulations
* Adhere to fiduciary duties and best execution requirements
* Maintain required records and reporting
* Follow market abuse regulations and insider trading laws
TECHNICAL SPECIFICATIONS
Data Sources
* Calculations based on TradingView data feeds
* Data accuracy depends on broker and exchange reporting
* Historical data may be subject to adjustments and corrections
* Real-time data may have delays depending on data providers
Software Limitations
* Internet connectivity required for proper operation
* Software updates may change calculations or functionality
* TradingView platform dependencies may affect performance
* Third-party integrations may introduce additional risks
MONEY MANAGEMENT RECOMMENDATIONS
Conservative Approach
* Risk only 1-2% of capital per trade
* Use position sizing based on volatility
* Maintain adequate cash reserves
* Avoid over-leveraging accounts
Portfolio Management
* Diversify across multiple strategies
* Don't put all capital into one approach
* Regularly review and adjust trading strategies
* Maintain detailed trading records
FINAL LEGAL NOTICES
Acceptance of Terms
* By using this indicator, you acknowledge that you have read and understood this disclaimer
* You agree to assume all risks associated with trading
* You confirm that you are legally permitted to trade in your jurisdiction
Updates and Changes
* This disclaimer may be updated without notice
* Continued use constitutes acceptance of any changes
* It is your responsibility to stay informed of updates
Governing Law
* This disclaimer shall be governed by the laws of the jurisdiction where the indicator was created
* Any disputes shall be resolved in the appropriate courts
* Severability clause: If any part of this disclaimer is invalid, the remainder remains enforceable
REMEMBER: THERE ARE NO GUARANTEES IN TRADING. THE MAJORITY OF RETAIL TRADERS LOSE MONEY. TRADE AT YOUR OWN RISK.
Contact Information:
* Creator: Hitesh_Nimje
* Phone: Contact@8087192915
* Source: Thought Magic Trading
© HiteshNimje - All Rights Reserved
This disclaimer should be prominently displayed whenever the indicator is shared, sold, or distributed to ensure users are fully aware of the risks and limitations involved in trading.
10% and 23.6% support bandsWhen a share is in momentum and showing lot of strength that relative strength it takes breather at 10% band from new 52 week high and and tends to consolidate at 23.6% from new 52 week high. This forms a higher low and gives opportunity to get in the rally. The volume bars should be taken into consideration as low volume and dry up at the bottom indicate reversal is coming. The stoploss for all entry is 1% below recent base low and entry pont is crossing of weekly high with greater than 20 days volume average.
The Floyd Sniper indicator1. tren; uses 200 EMA to decide bullish or bearish zone.
2. momentum; uses the 21EMA to confirm direction..
3. RSI filter; long only when oversold, Short only went overbought.
4. Signals; Prince long only when trend + momentum + RSI all Agree.
5. Background tent; green for long setups. red for short setups.
Altcoin Relative Macro StrengthAltcoin Relative Macro Strength
Overview
The Altcoin Relative Macro Strength indicator measures the altcoin market's price performance relative to global macroeconomic conditions. By comparing TOTAL3ES (total altcoin market capitalization excluding Bitcoin, Ethereum and stable coins) against a composite macro trend, the indicator identifies periods of relative overvaluation and undervaluation.
Methodology
Global Macro Trend Calculation:
The macro trend synthesizes three primary components:
- ISM PMI – A proxy for the business cycle phase
- Global Liquidity – An aggregate measure of major central bank balance sheets and broad money supply
- IWM (Russell 2000) – Small-cap equity exposure, reflecting risk-on/risk-off market sentiment
Global Liquidity is calculated as:
Fed Balance Sheet - Reverse Repo - Treasury General Account + U.S. M2 + China M2
The final Global Macro Trend is:
ISM PMI × Global Liquidity × IWM
Theoretical Framework:
The global macro trend integrates liquidity expansion/contraction with business cycle dynamics and small-cap equity performance. The inclusion of IWM reflects altcoins' tendency to behave as high-beta risk assets, exhibiting sensitivity similar to small-cap equities. This composite exhibits strong directional correlation with altcoin market movements, capturing the risk-on/risk-off dynamics that drive altcoin performance.
Interpretation
Primary Signal:
The histogram displays the rolling percentage change of TOTAL3ES relative to the global macro trend (default: 21-period average). Positive divergence indicates altcoins are outperforming macro conditions; negative divergence suggests underperformance relative to the underlying economic and risk environment.
Data Tables:
Alts/Macro Change – Percentage deviation of the altcoin market's average value from the Global Macro Trend's average over the specified period
Macro Trend – Directional assessment of the macro trend based on slope and trend agreement:
🔵 BULLISH ▲ – Positive slope with upward trend
⚪ NEUTRAL → – Slope and trend direction disagree
🟣 BEARISH ▼ – Negative slope with downward trend
Macro Slope – Percentage rate of change in the global macro trend
Altcoin Valuation – Relative valuation category based on TOTAL3/Macro deviation:
🟢 Extreme Discount / Deep Discount / Discount
🟡 Fair Value
🔴 Premium / Large Premium / Extreme Premium
TOTAL3ES Mcap – Current total altcoin market capitalization (in billions)
Visual Components:
📊 Histogram: Alts/Macro Change
🟢 Green = Positive deviation (altcoins outperforming)
🔴 Red = Negative deviation (altcoins underperforming)
📈 Macro Slope Line
Color-coded to match trend assessment
Scaled for visibility (adjustable in settings)
Application
This indicator is designed to identify mean reversion opportunities by highlighting periods when the altcoin market materially diverges from fundamental macro and risk conditions. Extreme positive values may indicate overvaluation; extreme negative values may signal undervaluation relative to the prevailing economic and risk appetite backdrop.
Strategy Considerations:
- Identify extremes: Look for periods when the histogram reaches elevated positive or negative levels
- Assess valuation: Use the Altcoin Valuation reading to gauge relative over/undervaluation
Confirm with risk sentiment: Check whether macro conditions and risk appetite support or contradict current price levels
- Mean reversion: Consider that significant deviations from trend historically tend to revert
Note: This indicator identifies relative valuation based on macro conditions and risk sentiment—it does not predict price direction or timing.
Settings
Lookback Period – 21 bars (default) – Number of bars for calculating rolling averages
Macro Slope Scale – 3.0 (default) – Multiplier for macro slope line visibility
Composite Market Momentum Indicator//@version=5
indicator("Composite Market Momentum Indicator", shorttitle="CMMI", overlay=false)
// Define Inputs
lenRSI = input.int(14, title="RSI Length")
lenMom = input.int(9, title="Momentum Length")
lenShortRSI = input.int(3, title="Short RSI Length")
lenShortRSISma = input.int(3, title="Short RSI SMA Length")
lenSMA1 = input.int(9, title="Composite SMA 1 Length")
lenSMA2 = input.int(34, title="Composite SMA 2 Length")
// Step 1: Create a 9-period momentum indicator of the 14-period RSI
rsiValue = ta.rsi(close, lenRSI)
momRSI = ta.mom(rsiValue, lenMom)
// Step 2: Create a 3-period RSI and a 3-period SMA of that RSI
shortRSI = ta.rsi(close, lenShortRSI)
shortRSISmoothed = ta.sma(shortRSI, lenShortRSISma)
// Step 3: Add Step 1 and Step 2 together to create the Composite Index
compositeIndex = momRSI + shortRSISmoothed
// Step 4: Create two simple moving averages of the Composite Index
sma1 = ta.sma(compositeIndex, lenSMA1)
sma2 = ta.sma(compositeIndex, lenSMA2)
// Step 5: Plot the composite index and its two simple moving averages
plot(compositeIndex, title="Composite Index", color=color.new(#f7cf05, 0), linewidth=2)
plot(sma1, title="SMA 13", color=color.new(#f32121, 0), linewidth=1, style=plot.style_line)
plot(sma2, title="SMA 33", color=color.new(#105eef, 0), linewidth=1, style=plot.style_line)
// Add horizontal lines for reference
hline(0, "Zero Line", color.new(color.gray, 50))
XAUUSD Liquidity Sweep + Engulfing (4H/2H/15m)Key Features in This Script:
4H Bias (Trend): We use RSI on 4H to determine if the market is in a bullish or bearish trend.
2H Setup: When price sweeps below previous lows or above previous highs (liquidity sweep), we confirm it with RSI and an engulfing candle.
15m Entry: After the liquidity sweep is confirmed on the 15m chart, we check for a bullish engulfing (for buys) or bearish engulfing (for sells) with RSI confirmation.
How to Use It:
Add the Script: Copy-paste the code above into TradingView’s Pine Editor.
Apply it to the 15-minute chart for XAUUSD (Gold).
Alerts: Set up alerts when a Buy or Sell signal appears based on the conditions.
Alerts Example:
When a liquidity sweep and RSI flip happens with an engulfing candle, TradingView will notify you, helping you enter at the right time.
🚀 Next Steps:
Try it out and let me know how the alerts and signals are working for you.
If you'd like to add custom stop-loss or take-profit calculations, or include Fibonacci levels, let me know!
BTC Fear & Greed Incremental StrategyIMPORTANT: READ SETUP GUIDE BELOW OR IT WON'T WORK
# BTC Fear & Greed Incremental Strategy — TradeMaster AI (Pure BTC Stack)
## Strategy Overview
This advanced Bitcoin accumulation strategy is designed for long-term hodlers who want to systematically take profits during greed cycles and accumulate during fear periods, while preserving their core BTC position. Unlike traditional strategies that start with cash, this approach begins with a specified BTC allocation, making it perfect for existing Bitcoin holders who want to optimize their stack management.
## Key Features
### 🎯 **Pure BTC Stack Mode**
- Start with any amount of BTC (configurable)
- Strategy manages your existing stack, not new purchases
- Perfect for hodlers who want to optimize without timing markets
### 📊 **Fear & Greed Integration**
- Uses market sentiment data to drive buy/sell decisions
- Configurable thresholds for greed (selling) and fear (buying) triggers
- Automatic validation to ensure proper 0-100 scale data source
### 🐂 **Bull Year Optimization**
- Smart quarterly selling during bull market years (2017, 2021, 2025)
- Q1: 1% sells, Q2: 2% sells, Q3/Q4: 5% sells (configurable)
- **NO SELLING** during non-bull years - pure accumulation mode
- Preserves BTC during early bull phases, maximizes profits at peaks
### 🐻 **Bear Market Intelligence**
- Multi-regime detection: Bull, Early Bear, Deep Bear, Early Bull
- Different buying strategies based on market conditions
- Enhanced buying during deep bear markets with configurable multipliers
- Visual regime backgrounds for easy market condition identification
### 🛡️ **Risk Management**
- Minimum BTC allocation floor (prevents selling entire stack)
- Configurable position sizing for all trades
- Multiple safety checks and validation
### 📈 **Advanced Visualization**
- Clean 0-100 scale with 2 decimal precision
- Three main indicators: BTC Allocation %, Fear & Greed Index, BTC Holdings
- Real-time portfolio tracking with cash position display
- Enhanced info table showing all key metrics
## How to Use
### **Step 1: Setup**
1. Add the strategy to your BTC/USD chart (daily timeframe recommended)
2. **CRITICAL**: In settings, change the "Fear & Greed Source" from "close" to a proper 0-100 Fear & Greed indicator
---------------
I recommend Crypto Fear & Greed Index by TIA_Technology indicator
When selecting source with this indicator, look for "Crypto Fear and Greed Index:Index"
---------------
3. Set your "Starting BTC Quantity" to match your actual holdings
4. Configure your preferred "Start Date" (when you want the strategy to begin)
### **Step 2: Configure Bull Year Logic**
- Enable "Bull Year Logic" (default: enabled)
- Adjust quarterly sell percentages:
- Q1 (Jan-Mar): 1% (conservative early bull)
- Q2 (Apr-Jun): 2% (moderate mid bull)
- Q3/Q4 (Jul-Dec): 5% (aggressive peak targeting)
- Add future bull years to the list as needed
### **Step 3: Fine-tune Thresholds**
- **Greed Threshold**: 80 (sell when F&G > 80)
- **Fear Threshold**: 20 (buy when F&G < 20 in bull markets)
- **Deep Bear Fear Threshold**: 25 (enhanced buying in bear markets)
- Adjust based on your risk tolerance
### **Step 4: Risk Management**
- Set "Minimum BTC Allocation %" (default 20%) - prevents selling entire stack
- Configure sell/buy percentages based on your position size
- Enable bear market filters for enhanced timing
### **Step 5: Monitor Performance**
- **Orange Line**: Your BTC allocation percentage (target: fluctuate between 20-100%)
- **Blue Line**: Actual BTC holdings (should preserve core position)
- **Pink Line**: Fear & Greed Index (drives all decisions)
- **Table**: Real-time portfolio metrics including cash position
## Reading the Indicators
### **BTC Allocation Percentage (Orange Line)**
- **100%**: All portfolio in BTC, no cash available for buying
- **80%**: 80% BTC, 20% cash ready for fear buying
- **20%**: Minimum allocation, maximum cash position
### **Trading Signals**
- **Green Buy Signals**: Appear during fear periods with available cash
- **Red Sell Signals**: Appear during greed periods in bull years only
- **No Signals**: Either allocation limits reached or non-bull year
## Strategy Logic
### **Bull Years (2017, 2021, 2025)**
- Q1: Conservative 1% sells (preserve stack for later)
- Q2: Moderate 2% sells (gradual profit taking)
- Q3/Q4: Aggressive 5% sells (peak targeting)
- Fear buying active (accumulate on dips)
### **Non-Bull Years**
- **Zero selling** - pure accumulation mode
- Enhanced fear buying during bear markets
- Focus on rebuilding stack for next bull cycle
## Important Notes
- **This is not financial advice** - backtest thoroughly before use
- Designed for **long-term holders** (4+ year cycles)
- **Requires proper Fear & Greed data source** - validate in settings
- Best used on **daily timeframe** for major trend following
- **Cash calculations**: Use allocation % and BTC holdings to calculate available cash: `Cash = (Total Portfolio × (1 - Allocation%/100))`
## Risk Disclaimer
This strategy involves active trading and position management. Past performance does not guarantee future results. Always do your own research and never invest more than you can afford to lose. The strategy is designed for educational purposes and long-term Bitcoin accumulation thesis.
---
*Developed by Sol_Crypto for the Bitcoin community. Happy stacking! 🚀*
Baba-pro EMA Break Sniper This indicator is designed to provide high-precision entries based on the interaction between EMAs, momentum, and clean price breaks.
Instead of relying on traditional EMA crossovers — which are often too slow — this tool focuses on direct EMA breakouts, allowing you to catch moves before most traders even react.
SPX Breadth – Stocks Above 200-day SMA//@version=6
indicator("SPX Breadth – Stocks Above 200-day SMA",
overlay = false,
max_lines_count = 500,
max_labels_count = 500)
//–––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––
// Inputs
group_source = "Source"
breadthSymbol = input.symbol("SPXA200R", "Breadth symbol", group = group_source)
breadthTf = input.timeframe("", "Timeframe (blank = chart)", group = group_source)
group_params = "Parameters"
totalStocks = input.int(500, "Total stocks in index", minval = 1, group = group_params)
smoothingLen = input.int(10, "SMA length", minval = 1, group = group_params)
//–––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––
// Breadth series (symbol assumed to be percent 0–100)
string tf = breadthTf == "" ? timeframe.period : breadthTf
float rawPct = request.security(breadthSymbol, tf, close) // 0–100 %
float breadthN = rawPct / 100.0 * totalStocks // convert to count
float breadthSma = ta.sma(breadthN, smoothingLen)
//–––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––
// Regime levels (0–20 %, 20–40 %, 40–60 %, 60–80 %, 80–100 %)
float lvl0 = 0.0
float lvl20 = totalStocks * 0.20
float lvl40 = totalStocks * 0.40
float lvl60 = totalStocks * 0.60
float lvl80 = totalStocks * 0.80
float lvl100 = totalStocks * 1.0
p0 = plot(lvl0, "0%", color = color.new(color.black, 100))
p20 = plot(lvl20, "20%", color = color.new(color.red, 0))
p40 = plot(lvl40, "40%", color = color.new(color.orange, 0))
p60 = plot(lvl60, "60%", color = color.new(color.yellow, 0))
p80 = plot(lvl80, "80%", color = color.new(color.green, 0))
p100 = plot(lvl100, "100%", color = color.new(color.green, 100))
// Colored zones
fill(p0, p20, color = color.new(color.maroon, 80)) // very oversold
fill(p20, p40, color = color.new(color.red, 80)) // oversold
fill(p40, p60, color = color.new(color.gold, 80)) // neutral
fill(p60, p80, color = color.new(color.green, 80)) // bullish
fill(p80, p100, color = color.new(color.teal, 80)) // very strong
//–––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––
// Plots
plot(breadthN, "Stocks above 200-day", color = color.orange, linewidth = 2)
plot(breadthSma, "Breadth SMA", color = color.white, linewidth = 2)
// Optional label showing live value
var label infoLabel = na
if barstate.islast
label.delete(infoLabel)
string txt = "Breadth: " +
str.tostring(breadthN, format.mintick) + " / " +
str.tostring(totalStocks) + " (" +
str.tostring(rawPct, format.mintick) + "%)"
infoLabel := label.new(bar_index, breadthN, txt,
style = label.style_label_left,
color = color.new(color.white, 20),
textcolor = color.black)
Z-score RegimeThis indicator compares equity behaviour and credit behaviour by converting both into z-scores. It calculates the z-score of SPX and the z-score of a credit proxy based on the HYG divided by LQD ratio.
SPX z-score shows how far the S&P 500 is from its rolling average.
Credit z-score shows how risk-seeking or risk-averse credit markets are by comparing high-yield bonds to investment-grade bonds.
When both z-scores move together, the market is aligned in either risk-on or risk-off conditions.
When SPX z-score is strong but credit z-score is weak, this may signal equity strength that is not supported by credit markets.
When credit z-score is stronger than SPX z-score, credit markets may be leading risk appetite.
The indicator plots the two z-scores as simple lines for clear regime comparison.
CCI TIME COUNT//@version=6
indicator("CCI Multi‑TF", overlay=true)
// === Inputs ===
// CCI Inputs
cciLength = input.int(20, "CCI Length", minval=1)
src = input.source(hlc3, "Source")
// Timeframes
timeframes = array.from("1", "3", "5", "10", "15", "30", "60", "1D", "1W")
labels = array.from("1m", "3m", "5m", "10m", "15m", "30m", "60m", "Daily", "Weekly")
// === Table Settings ===
tblPos = input.string('Top Right', 'Table Position', options = , group = 'Table Settings')
i_textSize = input.string('Small', 'Text Size', options = , group = 'Table Settings')
textSize = i_textSize == 'Small' ? size.small : i_textSize == 'Normal' ? size.normal : i_textSize == 'Large' ? size.large : size.tiny
textColor = color.white
// Resolve table position
var pos = switch tblPos
'Top Left' => position.top_left
'Top Right' => position.top_right
'Bottom Left' => position.bottom_left
'Bottom Right' => position.bottom_right
'Middle Left' => position.middle_left
'Middle Right' => position.middle_right
=> position.top_right
// === Custom CCI Function ===
customCCI(source, length) =>
sma = ta.sma(source, length)
dev = ta.dev(source, length)
(source - sma) / (0.015 * dev)
// === CCI Values for All Timeframes ===
var float cciVals = array.new_float(array.size(timeframes))
for i = 0 to array.size(timeframes) - 1
tf = array.get(timeframes, i)
cciVal = request.security(syminfo.tickerid, tf, customCCI(src, cciLength))
array.set(cciVals, i, cciVal)
// === Countdown Timers ===
var string countdowns = array.new_string(array.size(timeframes))
for i = 0 to array.size(timeframes) - 1
tf = array.get(timeframes, i)
closeTime = request.security(syminfo.tickerid, tf, time_close)
sec_left = barstate.isrealtime and not na(closeTime) ? math.max(0, (closeTime - timenow) / 1000) : na
min_left = sec_left >= 0 ? math.floor(sec_left / 60) : na
sec_mod = sec_left >= 0 ? math.floor(sec_left % 60) : na
timer_text = barstate.isrealtime and not na(sec_left) ? str.format("{0,number,00}:{1,number,00}", min_left, sec_mod) : "–"
array.set(countdowns, i, timer_text)
// === Build Table ===
if barstate.islast
rows = array.size(timeframes) + 1
var table t = table.new(pos, 3, rows, frame_color=color.rgb(252, 250, 250), border_color=color.rgb(243, 243, 243))
// Headers
table.cell(t, 0, 0, "Timeframe", text_color=textColor, bgcolor=color.rgb(238, 240, 242), text_size=textSize)
table.cell(t, 1, 0, "CCI (" + str.tostring(cciLength) + ")", text_color=textColor, bgcolor=color.rgb(239, 243, 246), text_size=textSize)
table.cell(t, 2, 0, "Time to Close", text_color=textColor, bgcolor=color.rgb(239, 244, 248), text_size=textSize)
// Data Rows
for i = 0 to array.size(timeframes) - 1
row = i + 1
label = array.get(labels, i)
cciVal = array.get(cciVals, i)
countdown = array.get(countdowns, i)
// Color CCI: Green if < -100, Red if > 100
cciColor = cciVal < -100 ? color.green : cciVal > 100 ? color.red : color.rgb(236, 237, 240)
// Background warning if <60 seconds to close
tf = array.get(timeframes, i)
closeTime = request.security(syminfo.tickerid, tf, time_close)
sec_left = barstate.isrealtime and not na(closeTime) ? math.max(0, (closeTime - timenow) / 1000) : na
countdownBg = sec_left < 60 ? color.rgb(255, 220, 220, 90) : na
// Table cells
table.cell(t, 0, row, label, text_color=color.rgb(239, 240, 244), text_size=textSize)
table.cell(t, 1, row, str.tostring(cciVal, "#.##"), text_color=cciColor, text_size=textSize)
table.cell(t, 2, row, countdown, text_color=color.rgb(232, 235, 243), bgcolor=countdownBg, text_size=textSize)
