Bitcoin Macro Trend IndicatorBitcoin Macro Trend Indicator: A Multi-Timeframe Confirmation System for Strategic Positioning
Introduction
The Bitcoin Macro Trend Indicator is a comprehensive technical analysis tool designed for cryptocurrency traders and investors seeking to navigate Bitcoin's volatile cycles. It integrates multiple exponential moving averages (EMAs) and MACD variations into a unified system that identifies long-term accumulation zones, bull market tops, and strategic re-entry points. This document outlines the logical foundation of this integration, explains the synergistic operation of its components, and provides practical guidance for its application.
Rationale for Multi-Indicator Integration
Bitcoin's market behavior exhibits distinct cyclical patterns characterized by extended accumulation periods, parabolic advances, and sharp corrections. Single indicators often generate false signals during volatile conditions. This system employs a layered confirmation approach where:
Ultra-long-term EMAs establish the primary trend context
Medium-term EMA crossovers identify trend transitions
Multiple MACD configurations detect momentum shifts across different time horizons
This multi-timeframe methodology reduces noise and increases signal reliability by requiring convergence across independent but complementary technical elements.
Component Synergy and Operational Mechanism
1. EMA Framework: The Trend Foundation
700-period EMA: Serves as the primary trend baseline. Prices below this line suggest long-term undervaluation (accumulation territory), while sustained positions above indicate established bull markets.
18/63-period EMA Pair: Functions as the core trend transition system. The golden cross (18 above 63) confirms bullish momentum, while the death cross signals potential trend exhaustion.
12/52-period EMA Pair: Specialized for identifying renewed momentum after corrections within ongoing trends, reducing premature re-entry during false recoveries.
12-period EMA (Auxiliary): Provides early warning of short-term trend deterioration that may precede larger corrections.
2. MACD Ensemble: Momentum Verification
Bottom MACD (168/364/6): With exceptionally slow parameters, this configuration filters out short-term noise to identify genuine long-term momentum shifts characteristic of market bottoms.
Top MACD (63/133/1): Optimized for detecting momentum divergence at potential market tops, where traditional MACD settings often lag.
Local Top Warning MACD (30/65/4): Balanced to capture intermediate-term momentum deterioration that frequently precedes significant pullbacks.
Early Bull MACD (9/19/6): Sensitive to initial momentum surges following accumulation periods, providing early confirmation of trend initiation.
3. Signal Hierarchy and Progressive Confirmation
The indicator employs a cascading confirmation logic:
Stage 1 (Accumulation): Requires both long-term MACD improvement AND price position below the 700-period EMA. Strong accumulation signals add Early Bull MACD confirmation.
Stage 2 (Warning): Local top warnings activate only when multiple conditions align: medium-term trend remains bullish, ultra-long-term trend confirms strength, AND specialized MACDs show momentum deterioration.
Stage 3 (Re-entry): Requires both EMA crossover confirmation AND momentum recovery in the warning MACD, reducing false continuation signals.
Stage 4 (Top Confirmation): The most stringent criteria, demanding convergence across long-term, medium-term, and momentum indicators before signaling major trend reversal.
Practical Application and Interpretation
Signal Classification System
Accumulation Zones (Green): Areas where long-term indicators suggest undervaluation. These represent strategic buying opportunities for patient investors.
Strong Accumulation Signals (Dark Green): Enhanced accumulation zones with additional momentum confirmation, suggesting higher-probability entry points.
Local Top Warnings (Orange/Red): Progressive warnings of increasing risk, with red zones indicating conditions historically associated with more severe corrections.
Re-entry Opportunities (Blue): Post-correction zones where momentum recovery aligns with trend resumption signals.
Bull Market Termination (Purple): Signals suggesting completion of major advance cycles, prompting defensive positioning.
Top Confirmation (Dark Red): High-confidence reversal signals with multi-timeframe confirmation.
Usage Guidelines
Timeframe Recommendation: Designed primarily for daily and weekly charts where macroeconomic trends are most evident.
Position Sizing: Accumulation signals support gradual position building, while warning signals suggest reducing exposure rather than immediate liquidation.
Corroboration: Although self-contained, the indicator performs best when combined with volume analysis and fundamental considerations.
Historical Validation: Users should review signal performance across multiple market cycles to understand characteristic behaviors.
Limitations and Considerations
No technical indicator predicts market movements with absolute certainty. This tool provides probabilistic assessments based on historical patterns.
Extraordinary market events or fundamental shifts may override technical signals.
The indicator's parameters, while optimized for Bitcoin's historical behavior, may require adjustment for unprecedented market conditions.
Signals should be interpreted in context of overall market structure and trader/investor time horizon.
Originality and Differentiation
This system represents a novel synthesis of established technical concepts through:
Parameter Optimization: Specific EMA and MACD periods calibrated to Bitcoin's characteristic volatility and cycle duration.
Conditional Layering: Unlike single-criterion systems, signals require convergence across independent technical dimensions.
Progressive Warning System: Multi-stage alerts that distinguish between routine corrections and potential trend reversals.
Macro-Micro Integration: Simultaneous analysis of ultra-long-term trends and short-term momentum shifts.
Empirical Foundation
The indicator's design incorporates observations from Bitcoin's market behavior since 2010, particularly:
The tendency for major bottoms to form during extended periods below long-term moving averages
Characteristic momentum patterns preceding significant tops
The predictive value of specific EMA relationships during different market phases
Historical performance of multi-timeframe confirmation versus single indicators
Conclusion
The Bitcoin Macro Trend Indicator provides a structured framework for identifying high-probability turning points in Bitcoin's market cycles. By integrating multiple technical perspectives into a confirmation hierarchy, it reduces reaction to market noise while maintaining sensitivity to genuine trend changes. Users should employ this tool as part of a comprehensive trading plan that includes risk management protocols and consideration of external market factors. The system's greatest utility emerges when understood not as a predictive oracle but as a systematic method for identifying favorable risk-reward scenarios based on multi-timeframe technical convergence.
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VWAP Tension Bands + Osc Sigma Gap [MAXmks]Hello Traders,
This indicator started as an accident. I was building a different tool — a multi-metric dashboard — and added VWAP deviation as one of the components. I expected it to help catch falling knives. It didn't.
But I noticed something else. During cooling-off periods — when volatility fades and price just sits there, not really going anywhere — VWAP deviation on lower timeframes would start climbing quietly. And more often than not, a pullback followed. Sometimes a liquidity sweep first, then a pullback. I watched this pattern for months before deciding to build a dedicated tool around it, adding oscillator confirmation to filter the noise.
This is that tool.
The core idea
Markets act like a rubber band around VWAP — the further price stretches, the higher the tension. But raw deviation isn't enough. The real question: is momentum confirming the stretch, or lagging behind?
The σ-Gap captures when these two disagree — price pushed hard, but internals haven't caught up. That's where mean-reversion setups tend to appear.
The indicator tracks VWAP deviation across 2m / 5m / 15m simultaneously and compares it against a composite of momentum oscillators (Williams %R, CVD-based metrics). Signals require multi-timeframe consensus — no single timeframe can trigger alone.
Adaptive thresholds
What counts as "extreme" isn't fixed. Distance is measured in standard deviations (σ) , not pips or percentages — so the indicator adapts to volatility automatically. Thresholds scale with regime and historical distribution, adjusting to current market conditions in real time.
Two modes
Standard — adaptive thresholds, more signals. Good for active sessions and exploration.
High Precision — adds divergence confirmation from multiple oscillators (MFI, Delta RSI, CVD Z-Score). Fewer signals, higher selectivity.
Extreme Tension
When σ-Gap exceeds 1.6× the threshold, the indicator can fire without full confirmation. Rare, but these are the "overstretched" moments worth watching.
Filters (so you don't trade ghosts)
RVOL filter blocks signals during low activity. Session close filter avoids entries near VWAP reset. 24h volume filter skips illiquid instruments. Cooldown prevents signal clustering in the same direction.
Best use case
Built for short-term mean-reversion — quick snapback plays on 5m–15m charts where price overextends and reverts within a few candles. The engine is optimized for this rhythm, not for trend-following or swings.
On-chart
Tension Bands show dynamic threshold zones around VWAP. Signals are non-repainting and confirmed on bar close. Compact HUD displays all metrics, filter states, and signal status in real time.
Alerts
Pre-signal alerts when conditions start forming. Confirmed signal alerts with full breakdown: VWAP deviation values, σ-Gap readings, divergences detected, current mode.
Volume matters
This is a VWAP-based indicator. No volume data = no signal. If your instrument shows "No Volume" in the dashboard, switch to a data feed that provides it (crypto spot, futures, stocks with real volume).
A note on expectations
I use this logic in my own research and it has shown useful results for me in my backtesting scenarios. But this is an indicator for analysis , not a magic button. Your execution, fees, slippage, and market regime all matter. Treat signals as context, not commands. DYOR.
Feedback welcome.
For educational and analysis purposes only. Not financial advice.
Piv X ProPiv X Pro - Advanced Pivot Detection with Multi-Timeframe Confluence Analysis
Overview
Piv X Pro identifies pivot highs and lows using a confluence scoring system. It combines pivot detection, volume-weighted analysis, Williams %R divergence, and multi-timeframe confirmation to highlight higher-probability pivot zones.
What Makes This Script Original
This script combines several components into a single workflow:
Dynamic pivot strength calculation based on ATR
Confluence scoring (10+ factors) to rank pivot quality
Multi-timeframe VWAP analysis (bottom/top extremes plus period-based VWAPs)
Williams %R divergence detection with anchored VWAPs
Market structure shift (CHoCH) identification
Real-time and confirmation modes for different trading styles
How It Works
Pivot Detection:
Uses ATR-based dynamic pivot strength (adjusts to volatility)
Filters pivots by significance (distance from recent averages)
Optional volume confirmation
Real-time mode for immediate detection or confirmation mode for verified pivots
Confluence Scoring System:
Each pivot receives a score (0-100+) based on:
Volume spikes (15 points)
Higher timeframe trend alignment (20 points)
RSI oversold/overbought conditions (25 points)
Price exhaustion signals (10 points)
RSI divergence (15 points)
Swing failure patterns (15 points)
Liquidity sweeps (10 points)
Candle reversal confirmation (10 points)
Key level alignment (10 points)
Fair value gap fills (10 points)
Session weighting (10 points)
Multi-timeframe pivot confluence (15 points)
Major Pivot Thresholds:
Real-time mode: 60+ confluence score
Confirmation mode: 80+ confluence score
Golden zones: 90+ score (highlighted differently)
VWAP Analysis:
Bottom/Top VWAPs: Anchored to absolute extremes within a lookback period
Period VWAPs: Weekly, Monthly, Yearly, plus 4D, 9D, 4H, 8H
Previous period VWAPs: Shows last period's VWAP for reference
Williams Divergence VWAPs: Anchored VWAPs triggered by bullish/bearish divergences
Market Structure:
Identifies Market Structure Shifts (CHoCH) when pivot sequences break
Draws structure lines connecting major pivots
Visual zones around major pivot levels
How to Use
Setup:
Apply to any timeframe (optimized for 1min, 5min, 15min, 1H)
Adjust pivot detection sensitivity via "ATR Pivot Strength Multiplier"
Choose Real-Time Mode (immediate) or Confirmation Mode (verified pivots)
Reading the Signals:
Major Pivot Low (PL): Green zones with confluence score
Major Pivot High (PH): Purple zones with confluence score
Golden Zones: Yellow highlights (90+ score)
CHoCH: Blue dashed lines marking structure breaks
Williams Divergence: Triangles + anchored VWAP lines
Trading Applications:
Support/Resistance: Use major pivot zones as key levels
Entry Timing: Combine confluence scores with price action
Trend Following: Use CHoCH signals for trend changes
Divergence Trading: Williams %R divergences with anchored VWAPs
Multi-Timeframe: Use HTF trend filter and VWAPs for context
Important Notes:
This is a technical analysis tool, not a trading system
Confluence scores indicate probability, not guarantees
Past performance does not predict future results
Always use proper risk management
Combine with your own analysis and strategy
Key Features
Pivot Quality Filters:
ATR-based significance filtering
Volume confirmation (optional)
Multi-timeframe confluence
Session-based weighting (optional)
Visual Elements:
Pivot zones (extendable boxes)
Structure lines (connecting major pivots)
CHoCH markers (market structure shifts)
Multiple VWAP overlays
Williams divergence markers
Customization:
Adjustable pivot strength multiplier
Enable/disable individual confluence factors
Customizable colors and visual styles
Alert system for major pivots and structure shifts
Technical Details
Open Source:
This script is open source. The code is available for review and modification. Users can see exactly how calculations are performed.
Calculations:
Pivot detection uses ta.pivothigh() and ta.pivotlow() with dynamic strength
VWAP calculations use cumulative price×volume / cumulative volume
Confluence scoring is additive based on multiple technical factors
Williams %R divergence uses pivot comparison logic
Limitations:
Historical data access limits apply (Pine Script constraints)
Structure lines limited to 500 bars for performance
Real-time mode may show pivots that later invalidate
Confirmation mode adds lag but increases reliability
Disclaimer
This script is for educational and informational purposes. It does not provide financial advice. Trading involves risk. Always do your own research and use proper risk management. Past performance does not guarantee future results.
Blockcircle Global Central Bank Balance Sheet and Money SupplyOVERVIEW
This indicator aggregates money supply (M2) and central bank balance sheet data from the world's largest economies into a single, unified view of global liquidity conditions. Rather than manually tracking dozens of separate data feeds or building your own aggregation logic, you get a ready-to-use tool that pulls from FRED, TradingView Economics, and real-time FX rates to convert everything into USD terms automatically.
Global liquidity has historically served as a leading indicator for risk assets. When central banks expand their balance sheets and the money supply grows, capital tends to flow into equities, crypto, and other risk-on assets. When liquidity contracts, markets often follow. This indicator gives you that macro context directly on your chart.
The global liquidity movement (expansionary or contractionary) often leads to asset price appreciation/depreciation in CRYPTOCAP:BTC , SP:SPX , etc
WHAT MAKES IT ORIGINAL AND DIFFERENT
Combines both M2 money supply AND central bank balance sheet data in one place, whereas most existing tools focus on only one metric
Aggregates 11 economies for M2 (USA, EU, China, Japan, UK, Canada, India, Russia, Brazil, Australia, Switzerland) and 10 central banks for balance sheet data
Automatically handles currency conversion using live FX rates so all values display in USD
Includes a dedicated US Net Liquidity calculation (Fed Balance Sheet minus Reverse Repo minus TGA) which filters out temporary distortions that other aggregate tools ignore
Provides granular country by country breakdown in the information table so you can identify which central banks are driving the aggregate trend
Offers four moving average types (SMA, EMA, WMA, RMA) for trend smoothing with configurable length
HOW IT WORKS
The indicator requests monthly M2 data from TradingView's Economics feeds for each included country. Central bank balance sheet data is pulled the same way. All non-USD values are converted using daily FX rates from major currency pairs. The script then sums these converted values to produce the Global M2 and Global CBBS lines.
For US liquidity specifically, the script pulls weekly data for the Reverse Repo Program (RRP) and Treasury General Account (TGA) from FRED. Net Liquidity is calculated as: Fed Balance Sheet minus RRP minus TGA. This formula removes funds parked in reverse repos and Treasury cash balances, showing what is actually circulating in the financial system.
KEY FEATURES
Global M2 Money Supply line tracking 11 major economies with individual toggles for each country
Global Central Bank Balance Sheet line tracking 10 central banks with individual toggles
US-specific components, including Reverse Repo, TGA, and Net Liquidity as separate plot lines
Moving average overlays with selectable type and length for identifying trend direction
Fill the option between M2 and CBBS lines to visualize the gap between money supply and central bank assets
Value labels at line endpoints showing current readings and period-over-period percentage change
Comprehensive information table with optional country breakdown view
Full color customization for all lines, configurable line width, and style options
Alert conditions for significant M2 and CBBS changes plus MA crossover signals
HOW TO USE
Add to any chart and observe the overall direction of global liquidity. Rising lines generally support risk on positioning, while declining lines suggest caution
Watch for divergences between the M2 and CBBS lines. If money supply grows faster than central bank assets, private credit may be expanding. If CBBS rises faster, central banks are actively injecting liquidity
Use the US Net Liquidity line to understand short term dollar liquidity conditions separate from longer term global trends
Enable moving averages to filter noise and identify when liquidity trends are changing direction
Toggle individual countries on or off in the settings to see how specific regions contribute to the total
Reference the information table for exact values and percentage changes without leaving your chart
SETTINGS BREAKDOWN
Table Settings: position, text size, and whether to show the country breakdown
Display Settings: toggle visibility for each line, fill area, value labels, percent labels, and the info table
Line Styling: customize colors for each metric, adjust line width, and select solid, dashed, or dotted style
Moving Average: enable or disable MA overlays for M2 and CBBS, select MA type, and set length
Global M2 Countries: individually enable or disable each of the 11 economies
US Liquidity Components: toggle RRP and TGA data
Global CBBS Countries: individually enable or disable each of the 10 central banks
Alerts: set percentage threshold for change based alerts
IMPORTANT CONSIDERATIONS
Data updates depend on the publication schedule of each source. M2 and CBBS data are typically monthly with some delay. US Fed Balance Sheet, US RRP and US TGA update weekly
FX conversion uses daily close rates which may introduce minor discrepancies during volatile currency periods
Some emerging market data may have longer reporting lags than developed market data
Hope you find it useful and impactful to your trading and investment decisions! If you have any questions at all, please just ask, happy to help
Vlad EmaUsado para daytrading, cruces de ema lenta y rápida, además de usar la ema de los 200 periodos
ALGO X LIMITLESS//@version=5
indicator("Swift Algo X – Volume Drift (Stable)", overlay=true)
// =====================
// INPUTS
// =====================
volPeriod = input.int(50, "Volume Z-Score Period", minval=10)
pricePeriod = input.int(20, "Price Smoothing Period", minval=5)
bandMult = input.float(1.5, "Volatility Multiplier", step=0.1)
macroPeriod = input.int(100, "Macro Baseline Period", minval=20)
// =====================
// VOLUME DRIFT LOGIC
// =====================
volMean = ta.sma(volume, volPeriod)
volStd = ta.stdev(volume, volPeriod)
volZ = volStd != 0 ? (volume - volMean) / volStd : 0
// Volume-weighted price force
volForce = close * (1 + volZ * 0.01)
// Fair Value Estimate
fairValue = ta.ema(volForce, pricePeriod)
// =====================
// ADAPTIVE VOLATILITY BANDS
// =====================
volatility = ta.stdev(fairValue, pricePeriod)
upperBand = fairValue + volatility * bandMult
lowerBand = fairValue - volatility * bandMult
// =====================
// MACRO TREND FILTER
// =====================
macroBase = ta.ema(fairValue, macroPeriod)
bullTrend = fairValue > macroBase
bearTrend = fairValue < macroBase
// =====================
// SIGNALS (NON-REPAINT)
// =====================
buySignal = ta.crossover(close, upperBand) and bullTrend
sellSignal = ta.crossunder(close, lowerBand) and bearTrend
// =====================
// PLOTS
// =====================
plot(fairValue, "Fair Value", color=color.orange, linewidth=2)
plot(upperBand, "Upper Band", color=color.new(color.green, 0))
plot(lowerBand, "Lower Band", color=color.new(color.red, 0))
plot(macroBase, "Macro Baseline", color=color.blue)
plotshape(buySignal, title="BUY", location=location.belowbar,
style=shape.labelup, color=color.green, text="BUY")
plotshape(sellSignal, title="SELL", location=location.abovebar,
style=shape.labeldown, color=color.red, text="SELL")
// =====================
// ALERTS
// =====================
alertcondition(buySignal, "Swift Algo X BUY", "BUY Signal Detected")
alertcondition(sellSignal, "Swift Algo X SELL", "SELL Signal Detected")
ALGO X LIMITLESS//@version=6
indicator("ICT NY Midnight Open", "ICT NY", overlay=true, max_lines_count=500, max_bars_back=5000)
// Heure New York
nyHour = hour(time, "America/New_York")
nyMinute = minute(time, "America/New_York")
// Détection minuit NY
isNYMidnight = (nyHour == 0 and nyMinute == 0)
// Tracer une seule ligne par jour
if isNYMidnight and not isNYMidnight
line.new(
bar_index,
open,
bar_index + 1,
open,
extend = extend.right,
color = color.blue,
width = 2
)
Iron Fly SPX 0DTE Strategy🦋 Iron Fly 0DTE Strategy
A simple indicator that tells you when to open and close Iron Fly options trades on SPX. Get alerts, execute manually in your broker.
What Does This Do?
This indicator watches the market and sends you alerts:
"OPEN" alert = Good time to sell an Iron Fly at this strike
"CLOSE" alert = Time to close your position (take profit or cut loss)
"EXPIRED" alert = End of day, let it expire or close manually
You receive the exact strikes to trade. You execute in your broker.
What is an Iron Fly?
An Iron Fly is a bet that the price stays near a certain level until end of day.
You collect money upfront (premium). If price stays close to your strike, you keep most of it. If price moves too far, you lose money (but your loss is capped).
The Trade (4 legs):
SELL a Call at the strike (collect premium)
SELL a Put at the strike (collect premium)
BUY a Call above for protection (costs premium)
BUY a Put below for protection (costs premium)
Net result: You collect premium. Max profit if price closes exactly at strike. Max loss is limited by your protective wings.
For a detailed explanation with visuals, read: kriyafx.substack.com
How to Use
Step 1: Add to Chart
Add indicator to SPX or SPY chart (1-5 minute timeframe recommended)
Step 2: Set Up Alerts
Create alert: Condition = "Iron Fly 0DTE" → "Any alert() function call"
Step 3: Wait for OPEN Alert
When you get an alert like this:
🦋 OPEN IRON FLY
Strike: 6980
Wings: ±30 pts
Sell 6980 Call
Sell 6980 Put
Buy 7010 Call
Buy 6950 Put
Step 4: Execute in Your Broker
Open your options broker, find today's expiration (0DTE), and enter the 4-leg trade at the strikes shown. Check the premium you'll collect - make sure it's worth the risk.
Step 5: Wait for CLOSE Alert
The indicator monitors your position. When it's time to exit, you get:
🦋 CLOSE IRON FLY
Strike: 6980
Reason: Price moved up past exit threshold
Buy to Close 6980 Call
Buy to Close 6980 Put
Sell to Close 7010 Call
Sell to Close 6950 Put
Close your position in your broker.
The Status Panel
The box on your chart shows:
Positions - How many flies are currently open
Market - Is it a good time to trade? (GOOD/OK/RISKY/STOP)
Wings - Current suggested wing width
Exit @ - How far price can move before you should exit
Trades - How many trades today vs your daily limit
Settings Explained
Entry Aggressiveness
How often should new trades open?
LOW = Fewer trades, more selective (beginner friendly)
MID = Balanced (recommended)
HIGH = More trades, more active (experienced)
Exit Aggressiveness
How long to hold before exiting?
LOW = Exit early, smaller wins, protected (beginner friendly)
MID = Balanced hold time (recommended)
HIGH = Hold longer, bigger potential wins but more risk
Max Concurrent Flies
How many positions open at the same time? Start with 1-2.
Max Trades Per Day
Daily limit to prevent overtrading. Start with 5-10.
When Does It Work Best?
Sideways, choppy markets (price not trending hard)
Normal volatility days (not FOMC, CPI, or earnings)
US market hours (10 AM - 4 PM Eastern)
When Does It NOT Work?
Strong trending days (price keeps going one direction)
High volatility events (news releases)
When the indicator shows RISKY or STOP
Important: Check Your Premium!
The indicator tells you WHEN to trade and at WHAT strikes. It does NOT tell you the price.
Before entering any trade:
Check the premium in your broker
Make sure the credit received is worth the max loss risk
Consider bid-ask spreads (wider = harder to profit)
If the premium looks bad, skip the trade
Start Small
Paper trade first to understand the signals
Start with 1 fly at a time
Use Entry LOW + Exit LOW when learning
Only risk money you can afford to lose
Risk Warning
Options trading is risky. Iron Flies can lose money - your max loss is the wing width minus premium collected. This indicator gives signals, not guarantees.
This is educational, not financial advice
Past signals don't guarantee future results
You can lose your entire premium
Always know your max loss before entering
Learn More
Full strategy explanation with charts and examples:
kriyafx.substack.com
Kalman Hull Bands For Loop | RakoQuant Kalman Hull Bands For Loop | RakoQuant
RakoQuant | Kalman Hull Bands For Loop is a trend-following breakout + regime tool built to keep you on the right side of the market with clean structure and minimal noise. It combines a Kalman Filter (noise reduction), a Hull Moving Average baseline (responsive trend anchor), and a standard deviation envelope computed via a for-loop (robust rail bands) to define actionable bullish and bearish regimes.
What it does
This indicator builds a dynamic “rail system” around price:
Kalman Filtered Source → reduces measurement noise in the input series.
Hull Baseline (HMA) → fast trend baseline built on the Kalman-filtered source.
Deviation Bands (“Rails”) → upper/lower rails based on a loop-calculated standard deviation.
Regime Breakout Logic → trend regime flips only when price breaks out beyond the rails:
Bullish regime when close crosses above the upper rail
Bearish regime when close crosses below the lower rail
Once a regime is established, the tool highlights the active rail in bright neon and fades the inactive rail (optional), giving you a clear “trend corridor” and a strong visual state.
Key Features
1) Kalman Noise Filtering (R & Q)
The Kalman filter smooths the selected source using:
R (Measurement Noise) – how noisy you assume the observations are
Q (Process Noise) – how quickly the model is allowed to adapt
This helps reduce chop without turning the indicator into a laggy moving average.
2) Hull Baseline (fast + smooth)
The baseline is a Hull Moving Average applied to the Kalman-filtered source:
responsive in trend,
cleaner during transitions,
ideal for breakout regime detection.
3) Deviation Envelope with Two Modes
Deviation rails are calculated using a for-loop standard deviation (population stdev), with two choices:
Residual vs Baseline (default): deviation of (src - baseline)
→ focuses on “distance from fair value” instead of raw price volatility
Raw Source: deviation of the source itself
→ classic volatility envelope behavior
Then bands are formed by:
upper = baseline + mult * sd
lower = baseline - mult * sd
4) Regime Rails + Candle Painting (RakoQuant Neon)
Bull regime: active lower rail plotted in Neon Aqua
Bear regime: active upper rail plotted in Neon Magenta
Candles are painted to match the current state (optional)
Inactive rails can be shown faintly for context.
5) Alerts for Breakouts
Built-in alerts trigger exactly on regime flips:
Bull Breakout (close crosses above upper rail)
Bear Breakout (close crosses below lower rail)
How to Use It
Trend-following approach
Stay with the active regime until a breakout flip occurs.
In bull regime, the lower rail behaves like an adaptive trend support guide.
In bear regime, the upper rail behaves like an adaptive trend resistance guide.
Breakout confirmation
Use the breakout as a confirmation layer with your other confluences:
take longs only after a bull breakout,
take shorts only after a bear breakout,
filter mean-reversion trades by the regime state.
Inputs Summary
Source: select what the model tracks (default: high)
Kalman: R / Q controls smoothing vs responsiveness
Baseline: Hull length
Deviation: loop length, mode (Residual vs Baseline / Raw Source), multiplier
Visuals: candle painting, baseline visibility, inactive rails
Disclaimer
Backtests are based on historical data and are not indicative of future performance.
:
Smart Position Calculator: Risk, Margin & TicksAre you tired of manually calculating position sizes or using clumsy external calculators? This minimalist indicator solves the problem directly on your chart.
It tells you exactly how much to buy/sell to risk a specific dollar amount (e.g., $50), considering your leverage and commissions.
Key Benefits:
Protect your deposit: Standardize your risk per trade.
Plan better: See your Risk/Reward ratio and Commission costs instantly.
Trade comfortably: The UI adapts to your screen (Dark/Light modes + Font Size control).
Scalp precisely: See distance in Ticks.
How it works:
Add to Favorites.
Select Entry, Stop, and Take Profit points on the chart.
Read the table.
Cinematic Session Fade [Pro]🎬 Cinematic Session Fade — A Clean Way to See Market Mood
This indicator is designed to enhance visual clarity, not clutter your chart.
Instead of adding more lines, boxes, or signals, it uses soft cinematic session shading to show how market behavior naturally changes throughout the day.
🌍 Session-Based Market Atmosphere
Asia Session (Calm Blue)
Represents balance, low volatility, and range-building conditions.
London Session (Warm Gold)
Highlights the transition phase where momentum often starts to build.
New York Session (Deep Red)
Emphasizes decision-making hours, volatility, and directional moves.
The session colors fade smoothly in the background, creating a professional and distraction-free viewing experience.
🎨 Why This Indicator Looks Clean & Professional
No indicators stacked on price
No buy/sell arrows or noisy labels
Soft, eye-friendly background shading
Clean candle colors for clear price focus
Optimized for dark mode charts
This makes the chart easy to read, easy on the eyes, and visually attractive for both analysis and screenshots.
🧠 How Traders Use It
Identify which session the market is in at a glance
Adjust expectations for volatility and behavior
Combine with your own strategy (structure, SMC, trend, or price action)
Perfect for education, market commentary, and clean chart presentations
📈 Best Markets
Forex
Gold (XAUUSD)
Bitcoin & Crypto
Indices
🎯 Final Note
This tool does not predict price.
It simply provides context and atmosphere, helping traders stay aligned with market rhythm while keeping charts elegant and professional.
If you value clarity over clutter, this indicator is built for you.
StealthFX Signals NavigatorThe StealthFX Signals Navigator is a high-performance trend-following suite designed for traders who demand institutional-grade clarity without the clutter. Inspired by the sleek aesthetics of premium toolkits like LuxAlgo, this indicator strips away the noise to provide a singular, high-probability "path of least resistance" for your trades.
🛡️ The Core Philosophy: "Trade with the Giant"
Most retail traders fail because they fight the primary trend. The Navigator solves this by using a 200-period EMA Filter.
Blue Signals (BUY): Only occur when price action is confirmed above the 200 EMA.
Purple Signals (SELL): Only occur when price action is confirmed below the 200 EMA.
🎯 Precision Entry & Risk Management
Stop guessing where to exit. The Navigator uses a volatility-adjusted ATR engine to calculate your targets the moment a signal prints.
Pip-Clamped Logic: To ensure trades remain realistic, the script automatically clamps your Stop Loss between 30 and 100 pips (with a hard safety cap at 200), making it ideal for Forex and Indices.
1:2 Risk-Reward: Every signal aims for a mathematical edge, setting a Take Profit (Blue Line) that is double the distance of your Stop Loss (Purple Line).
🧹 The "Clean Chart" Evolution
We believe a cluttered chart leads to a cluttered mind.
Smart-Hiding: Unlike standard indicators that leave old lines everywhere, the Navigator tracks price in real-time. The moment your TP or SL is touched, the lines vanish.
Signal Priority: The script resets with every new momentum shift, ensuring you are always looking at the most relevant trade setup.
🚀 Key Features
Modern Aesthetic: A sleek Neon Blue & Deep Purple theme designed for dark-mode enthusiasts.
Universal Scaling: Works across Forex, Crypto, and Stocks thanks to its "Mintick" sensitive calculation engine.
Zero Repaint: Signals confirm on the close of the bar, providing stable historical data for backtesting.
Integrated Alerts: Set-and-forget notifications for both Buy and Sell entries.
📈 How to Use
Identify the Bias: Watch the gray 200 EMA.
Execute: When a label appears, immediately set your limit orders at the displayed Blue (TP) and Purple (SL) levels.
Patience: Let the trade run. The lines will disappear automatically once the outcome is decided.
Best Timeframes: 15m, 1h, 4h. Best Assets: Major FX Pairs (EURUSD, GBPUSD), Gold (XAUUSD), and US Tech Indices.
SMC Temporalidad y ConfirmacionThe table provided by Trader VictorFX shows the timeframes used to validate an Order Block (OB) by confirmation when trading with SMC
Fear Greed RangesFear Greed Ranges Indicator: A Practical Guide to Market Sentiment Analysis
Introduction: Understanding Market Psychology
The "Fear Greed Ranges" indicator is a specialized technical analysis tool designed to visualize market sentiment through the lens of the Relative Strength Index (RSI). Unlike traditional RSI displays that show only a line graph, this indicator transforms raw RSI data into intuitive, color-coded zones that immediately signal whether markets are driven by fear, greed, or balanced sentiment. By providing this visual context, it helps traders identify potential turning points and manage risk more effectively.
Rational Integration: Why RSI Forms the Core
The indicator's foundation rests on the well-established RSI oscillator, chosen for several compelling reasons. First, RSI has stood the test of time since its development by J. Welles Wilder Jr. in 1978, with decades of empirical validation across various asset classes. Second, its mathematical construction—comparing the magnitude of recent gains to recent losses—directly measures momentum, which often precedes price reversals at extremes. Third, RSI's bounded nature (0-100 range) makes it ideal for creating clearly defined zones without subjective interpretation.
The integration transforms this numerical oscillator into a spatial visualization system. Rather than simply reading RSI values, traders can immediately perceive market conditions through color psychology: red triggers caution, green suggests opportunity, and yellow indicates neutrality. This multi-sensory approach reduces cognitive load during fast-moving markets and helps overcome confirmation bias that might occur when interpreting raw numbers.
Component Synergy: How the System Works Together
The indicator comprises three interconnected layers that create a unified analytical framework:
Core Calculation Layer: The traditional RSI calculation processes price data using the specified period length (default 14 periods). This generates the fundamental sentiment metric that drives all subsequent visualizations. The RSI calculation serves as the "brain" of the indicator, continuously analyzing market momentum.
Sentiment Classification Layer: This layer applies threshold logic to categorize each RSI reading into one of three emotional states. Readings above 70 are classified as "Greed" (market potentially overbought), below 30 as "Fear" (market potentially oversold), and between 30-70 as "Neutral" (balanced market conditions). These thresholds are based on the conventional RSI interpretation framework that has been widely adopted in technical analysis.
Visual Translation Layer: The most innovative aspect transforms numerical classifications into immediate visual cues. The colored ribbon area creates a "sentiment atmosphere" around price action, while the background tint provides subtle contextual framing. Horizontal reference lines at 30, 50, and 70 offer precise anchoring points, and the floating label provides real-time status updates. These elements work in concert: the ribbon shows sentiment intensity, the background provides persistent context, and the reference lines offer precise measurement points.
Practical Application: How to Use the Indicator Effectively
For optimal results, traders should incorporate this tool into a comprehensive analysis framework:
Initial Setup: Apply the indicator to any financial chart (stocks, forex, cryptocurrencies, etc.) using the default 14-period setting for general purposes. For shorter timeframes, consider reducing the period to 10; for longer-term analysis, increase to 20-25 periods.
Signal Interpretation:
When the ribbon turns red and the background tints crimson, exercise caution with new long positions and consider profit-taking on existing holdings.
Green zones may indicate accumulation opportunities, particularly if accompanied by bullish divergence (price making lower lows while RSI makes higher lows).
Yellow areas suggest normal market fluctuation where trend-following strategies may be more appropriate than reversal anticipation.
Confirmation Protocol: Always wait for additional confirmation before acting on extreme readings. For greed zone signals, look for bearish candlestick patterns, resistance at key price levels, or decreasing volume. For fear zone signals, watch for bullish reversal patterns, support levels holding, or increasing volume on down moves.
Timeframe Harmony: Analyze multiple timeframes simultaneously. A greed signal on a daily chart carries more weight than one on a 15-minute chart. Look for alignment across timeframes for higher-probability setups.
Alert Utilization: Enable the built-in alert system to receive notifications when sentiment zones change, ensuring you never miss potential opportunities or risk scenarios.
Original Contribution: What Sets This Indicator Apart
While RSI indicators are ubiquitous, the "Fear Greed Ranges" implementation offers several distinctive advantages:
Cognitive Efficiency: By converting numerical data into immediate visual perception, the indicator reduces the mental processing required to assess market conditions. Traders can glance at a chart and instantly understand the sentiment landscape without calculating or interpreting raw values.
Contextual Persistence: The colored background maintains a subtle but constant reminder of the prevailing sentiment, preventing the common pitfall of overlooking extreme conditions that might develop gradually.
Dual-Layer Communication: The system operates on both conscious (reference lines, labels) and subconscious (color psychology) levels, engaging multiple cognitive pathways for more reliable signal recognition.
Integrated Risk Framework: By explicitly naming emotional extremes ("Fear" and "Greed"), the indicator constantly reminds traders of the psychological forces driving markets, encouraging more disciplined decision-making.
Important Considerations and Limitations
No technical indicator guarantees future performance, and this tool should form only one component of a comprehensive trading strategy. Several critical factors require attention:
Market Context Matters: During strong trending markets, RSI can remain in extreme zones for extended periods without immediate reversal. In such conditions, the indicator signals strength rather than imminent reversal.
Volatility Adjustments: Highly volatile instruments may generate frequent zone changes that could lead to overtrading if not filtered appropriately.
Complementary Tools: This indicator works best when combined with price action analysis, volume studies, support/resistance levels, and fundamental factors where applicable.
Personal Adaptation: Traders should backtest the indicator on their preferred markets and timeframes to understand its characteristics before live implementation, potentially adjusting the RSI period or zone thresholds to match specific instrument behaviors.
The "Fear Greed Ranges" indicator serves as a visual translator of market psychology, converting mathematical momentum readings into intuitive emotional landscapes. By making RSI interpretation more immediate and accessible, it helps traders maintain objectivity during emotionally charged market conditions and supports more disciplined execution of their trading strategies. Remember that successful trading involves risk management, continuous learning, and adapting tools to your individual approach—this indicator provides one lens through which to view the markets, not a complete trading system in itself.
Price LevelsDescription: Price Levels (NY Openings)
This indicator automatically plots key price levels based on the most significant opening times of the New York session. It is an essential tool for ICT (Inner Circle Trader) or SMC (Smart Money Concepts) traders who rely on specific "Kill Zones" and time-based liquidity.
Triple SMMA 11-21Is Script ki Khoobiyan:
Custom Inputs: Aap indicator ki settings mein jaakar 11 aur 21 ki jagah koi bhi number daal sakte hain bina code chhede.
Visual Crossover: Jab 11-period SMMA (Blue) 21-period SMMA (Red) ko upar ki taraf cross karega, to chart par ek Green Triangle dikhega.
Smoothing: SMMA normal Moving Average se zyada "smooth" hota hai, isliye ye noise ko kam karta hai.
Fixed Timeframe SMMA: Isme Orange rang ki ek moti line (linewidth 3) dikhegi. Ye hamesha 15 minute ka SMMA 21 calculate karegi.
Visual Clarity: * Blue: SMMA 11 (Aapke current chart ka)
Red: SMMA 21 (Aapke current chart ka)
Orange (Moti Line): SMMA 21 (Sirf 15-Minute chart ka)
Ek Zaruri Baat:
Jab aap 15-minute se bade timeframe par honge (jaise 1-hour ya Daily), toh 15-min ki line thodi "zigzag" ya seedhi dikh sakti hai kyunki bade timeframe ke ek candle mein 15-min ki kai candles hoti hain. Ye bilkul normal hai.
Trading Cutoff TimerTrade Cutoff Timer — Discipline-First Session Control
Trade Cutoff Timer is a simple execution-discipline indicator designed to enforce one of the most powerful trading rules:
stop trading after your optimal window ends.
The indicator visually marks a fixed cutoff time measured in minutes after the market open, helping you avoid late-session overtrading, FOMO entries, and degraded edge conditions.
🔹 What it does
Draws a clear vertical cutoff line at X minutes after market open
Optionally shades the background from market open until the cutoff
Prevents “one more trade” behavior by making your rule visible on-chart
Works on any intraday timeframe
Does not affect chart scaling or price visibility
🔹 Key Features
⏱ Minute-based cutoff
Define exactly how long after market open you are allowed to trade (e.g. 90 minutes).
🌍 Timezone-aware (UTC±)
Select timezones using TradingView-style UTC offsets for consistent behavior across markets.
📅 Lookback control
Limit how many historical days are marked to keep charts clean and focused.
🎨 Visual flexibility
Enable or disable background shading, control how far it extends, and customize colors.
🧠 Discipline over signals
No entries, no indicators, no bias — this tool enforces process, not predictions.
🔹 Who it’s for
Day traders with a defined trading window
Traders who perform best near market open
Anyone working to improve consistency, patience, and rule-based execution
Traders who want structure without clutter
🔹 Typical use cases
“I only trade the first 90 minutes after NY open”
“I stop trading once volatility degrades”
“I want a visual reminder of my hard stop time”
Trade less. Trade better.
This indicator exists to support consistency — not to generate signals.
Triple RSI Multi-Timeframe (6 Levels)This indicator is a powerful momentum tracking tool designed to give you a bird's-eye view of market conditions by overlaying Three Relative Strength Index (RSI) lines from different timeframes onto a single pane.
Key Features
Multi-Timeframe Analysis: Monitor short-term, medium-term, and long-term momentum simultaneously. This helps identify "confluence," where different timeframes agree on a trend.
Dynamic Data Table: Instead of generic labels, the on-screen table automatically displays the specific timeframe (e.g., 15m, 1H, 4H) and the current value for each RSI line.
6 Customizable Levels: Beyond the standard 70/30 levels, you can plot up to six independent horizontal lines. This is ideal for identifying "extreme" zones (80/20) or "neutral" zones (60/40).
Visual Clarity: Each RSI line and its corresponding table data are color-coded, making it easy to distinguish between timeframes at a glance.
Institutional Alpha Vector | D_QUANT Institutional Alpha Vector | D_QUANT
Overview
The Institutional Alpha Vector (IAV) is an original trend-following framework that replaces single-indicator bias with a Weighted Composite Score . Instead of relying on a simple moving average, this script aggregates four distinct quantitative dimensions—Price, Momentum, Volatility, and Volume—into a normalized value called the "Alpha Vector."
The goal of this tool is to identify "Institutional Consensus"—periods where multiple mathematical models align in the same direction, reducing the likelihood of false breakouts in choppy markets.
How It Works: The Quantitative Engines
The script calculates four independent signals. For each module, a state is stored (1 for Bullish, -1 for Bearish, 0 for Neutral).
1. Price Filter (Hull Moving Average):
The script uses an HMA (a weighted moving average that reduces lag by using the square root of the period). A signal is triggered when the price crosses over/under this "Spine."
2. Volatility Regime (RMA + ATR):
This module uses a Moving Average (RMA) combined with an Average True Range (ATR) offset. It acts as a volatility filter that price must move beyond 1 ATR from the mean to register a trend, ensuring the market isn't just "drifting."
3. Momentum Physics (ADX/DMI):
Based on J. Welles Wilder’s Directional Movement Index. It checks if the is above (or vice versa) but only if the ADX (Average Directional Index) is above a user-defined threshold (default: 10), confirming the presence of a strong trend.
4. Institutional Flow (Chaikin Money Flow):
This confirms price action with volume. It calculates the accumulation/distribution of money flow over a specific period. A signal is only valid if the CMF is positive (Bullish) or negative (Bearish).
The Alpha Vector Calculation
This is the core "originality" of the script. The indicator takes the active modules and calculates a Composite Score :
This results in a value between -1.0 and +1.0 .
* High Confidence Long: When the score exceeds +0.1 (adjustable).
* High Confidence Short: When the score drops below -0.1 (adjustable).
* Neutral Zone: When the score is near 0, the script colors the bars grey, signaling a lack of institutional consensus.
Visual Intelligence: The "Electric Conduit"
The script visualizes market energy through a custom rendering engine:
* The Spine: A central line representing the HMA trend.
* The Conduit (Fill): A dynamic gradient that expands or contracts based on the ATR (Average True Range) . This allows traders to see "volatility expansion" (wide ribbon) vs "compression" (tight ribbon) at a glance.
* Bar Coloring : Automatically aligns the chart candles with the Alpha Vector state to remove cognitive load.
How to Use
1. Define your Strategy: In the settings, you can toggle specific modules. If you are trading a low-volume asset, you might disable the **CMF** module.
2. Identify the Consensus: Look for the ribbon to change from Grey (Neutral) to Cyan/Gold.
3. Monitor the HUD: A small dashboard in the bottom right displays the live Alpha Vector score. A score of 1.0 means all four engines are in 100% bullish agreement.
Disclaimer: Trading involves significant risk. This tool is for educational and analytical purposes and does not constitute financial advice.
[ahDirtCuhzzz]ICT Sessions_Asia and London Focused- I turn the days background off
- I only toggle Asia & London session
- I adjust Asia to 1900 -- 2200
- I turn off weekly/monthly lines
- I added labels to midnight and 830 open with the ability to change colors on the label/text.
Smart Take ProfitThis script for EURUSD on the M3 timeframe detects Take Profit zones close to a reversal, automatically displays TP1, TP2, and Stop Loss, and follows the RSI + Bollinger Band + ATR logic.
It triggers an exit signal when the price touches a Bollinger Band, when the RSI is in an extreme zone, or when there is a rejection candle.
It automatically calculates the TP at 0.8 ATR, TP2 at 1.0 ATR, and the Stop Loss at 0.6 ATR.
It operates on the EURUSD M3 timeframe. You decide the entry point. This indicator is not a trading strategy.






















