WVF TREND + ATR Zone + Smart Pivot ZonesThis indicator combines Williams Vix Fix (WVF) EMA, ATR-based dynamic zones, and Smart Pivot Zones into a single, clean overlay tool designed to help visualize market pressure, volatility, and key structural levels on the chart.
Core Components
WVF EMA Overlay
The WVF value is smoothed with an EMA and projected onto the price chart. This helps visualize relative market stress and momentum behavior directly on price.
ATR-Based WVF Zone
An adaptive zone is calculated around the WVF EMA using ATR.
This zone reflects current volatility conditions and adjusts automatically as market activity changes.
Smart Pivot Zones
Pivot highs and lows are detected and expanded into dynamic support and resistance zones using ATR.
These zones highlight areas where price has previously reacted with significance.
Visual Logic
The WVF EMA line changes color based on price position relative to it.
The ATR zone is softly shaded to avoid clutter while maintaining context.
Pivot zones are clearly separated into support (low pivots) and resistance (high pivots).
Purpose
This indicator is intended to provide context, not signals.
It helps traders visually assess:
Volatility expansion or contraction
Areas of historical price reaction
The relationship between price structure and volatility-based pressure
Important Notice
This indicator does not generate buy or sell signals and should not be considered financial advice.
It is a visual analysis tool meant to be used alongside other forms of technical analysis and proper risk management.
Chỉ báo và chiến lược
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.
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
Ultimate Trend Dashboard [Multi-Timeframe]This is a Universal Market Scanner designed for Crypto, Forex, and Metals (Gold/Silver). Instead of checking multiple charts one by one, this dashboard monitors 4 different timeframes instantly from a single screen.
### 🧠 How It Works ( The Logic) The system uses a "Double Confirmation" strategy to determine the true trend direction: 1. Supertrend: Checks if the momentum is Bullish or Bearish. 2. EMA 200 Filter: Checks if the price is above or below the 200-period Exponential Moving Average (The most important long-term trend line).
A signal is only generated if BOTH indicators agree.
### 📊 Dashboard Overview The panel on the screen scans the following timeframes (Adjustable in settings): * 15 Minutes (Scalping Trend) * 1 Hour (Intraday Trend) * 4 Hours (Swing Trend) * Daily (Major Trend)
### 🚦 How to Use (Step-by-Step)
1. Look at the "TOTAL" Row: The script calculates a score based on all timeframes.
2. STRONG BUY 🚀 (All Green): * Meaning: All timeframes (Short & Long term) are Bullish. * Action: Look for Long entries. Do not Short.
3. STRONG SELL 🔻 (All Red): * Meaning: All timeframes are Bearish. * Action: Look for Short entries. Do not Buy.
4. NEUTRAL ⚠️ (Mixed Colors): * Meaning: The market is confused (e.g., Daily is Bullish but 15min is Bearish). * Action: Wait. Do not force a trade until the trend aligns.
### ⚙️ Customization * You can change the Timeframes (e.g., set them to 5m, 15m, 1h, 4h) in the settings. * You can move the table position (Right, Left, Center) to fit your screen. * Works on ANY asset class (BTC, ETH, XAUUSD, EURUSD, Stocks).
ATR BUY / SELLATR Multiplier Buy/Sell Levels is a clean, always-on reference tool that plots two dynamic price levels based on ATR volatility. It continuously calculates a Buy Level above price and a Sell Level below price using your selected ATR length and multiplier, adapting in real time as volatility expands or contracts. Both lines are tracked on the price scale so the current levels are always visible, and you can optionally display last-bar labels to read the exact values instantly. Use it to frame volatility-based targets, define trigger zones, and keep consistent distance levels across any market and timeframe.
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")
SWIFT ALGO X LIMITLESS//@version=5
//@Shanxia
// NOTE: Only works on 1HR and below and exchange timezones differ so change the session times accordingly.
indicator("ICT NY Midnight Open", "ICT NY OPEN", true, max_lines_count=500, max_bars_back = 5000)
// INPUTS
i_time = input.session ('0000-0001:1234567', "New York", tooltip="Different exchanges will have difference time zones so change accordingly.")
i_tz = input ("GMT-4", "Timezone")
i_vline = input.bool (true, "VLine", inline="in3")
i_vcol = input.color (#00b9d0, "", inline="in3")
i_txtcol = input.color (#0098ff, " Text color", inline="in3")
i_vstyle = input.string ("Solid", "Style", options= )
i_hline = input.bool (true, "HLine", inline="in1")
i_linecol = input.color (#0064ff, "", inline="in1")
i_linestyle = input.string ("Dotted", " ", options= , inline="in1")
i_ex = input.string ("1 Day", "Extend", options= , inline="in4" )
i_ex2 = input.bool (false, "", inline="in4")
i_ex3 = input.int (3, "Hours", 1, 23, inline="in4")
// MISC
nymid = time ("1", i_time, i_tz)
linestyle = i_linestyle == "Solid" ? line.style_solid : i_linestyle == "Dotted" ? line.style_dotted : line.style_dashed
vstyle = i_vstyle == "Solid" ? line.style_solid : i_vstyle == "Dotted" ? line.style_dotted : line.style_dashed
ex = i_ex == "1 Day" ? extend.none : i_ex == "2 Days" ? extend.none : i_ex == "Right" ? extend.right : extend.both
htime = i_ex == "2 Days" ? 172800000 : 86400000
hourtime = i_ex2 ? i_ex3 * 3600000 : htime
// CALC
var openprice = 0.0
if nymid
if not nymid
openprice := open
else
openprice := math.max(open, openprice)
// OBJECTS
var label lb = na
if openprice != openprice and i_hline
var line lne = na
line.set_x2(lne, nymid)
line.set_extend(lne, extend.none)
lne := line.new(nymid, openprice, nymid + hourtime , openprice, xloc.bar_time, extend.none, i_linecol, linestyle, 2)
lb := label.new(nymid + htime, openprice, "NY Midnight Open | " + str.tostring(math.round_to_mintick(openprice)), xloc.bar_time, yloc.price, na, label.style_none, i_txtcol)
label.delete(lb )
if i_vline and nymid == nymid
vl1 = line.new(nymid, high, nymid, low, xloc.bar_time, extend.both, i_vcol, vstyle, 1)
if line.get_y1(vl1) == line.get_y2(vl1)
line.delete(vl1)
// END
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.
Market Breadth MomentumThe indicator operates by fetching data from external tickers (usually market internal symbols like ATHI and ATLO) and processing them through a momentum filter. It aims to identify "breadth thrusts" or exhaustion points before they become obvious on a standard price chart.
Key ComponentsCustom Data Inputs: By default, it uses New Highs and New Lows tickers. You can toggle between calculating the Net difference (Highs minus Lows) or a Ratio (Highs divided by Lows).
Dual Mode Logic:Raw Mode: Visualizes the raw spread between highs and lows.Momentum Mode: Applies a McClellan-style calculation (Fast EMA minus Slow EMA) to show the rate of change in market breadth.Signal Line: Includes a 9-period EMA (Signal Line) to help identify trend shifts and provide crossover alerts.
Visual InterpretationThe indicator is displayed in a separate pane below the price chart:ElementDescription
Teal ColumnsIndicate that the breadth momentum is increasing (bullish divergence or strengthening trend).
Maroon Columns Indicate that the breadth momentum is decreasing (bearish divergence or weakening trend).Orange LineThe Signal Line; used to smooth out noise and provide entry/exit triggers.Zero LineThe "neutral" mark. Values above zero generally suggest bullish internal health; values below suggest bearish.
Identifying Divergences
If the S&P 500 is making new price highs, but the Breadth Momentum histogram is making lower highs, it suggests the rally is losing participation. This is often a precursor to a market correction.
Momentum Crossovers
A common signal is the "Signal Line Cross." When the columns cross above the orange Signal Line, it indicates a short-term surge in market participation (a "Thrust").
Mean Reversion
Extreme extensions away from the Zero Line (either positive or negative) can signal that the market is overbought or oversold on an internal level, regardless of what the price action looks like.
Settings & Inputs
New Highs/Lows Ticker: Ensure these match the symbols provided by your broker (e.g., HI_NY or ATHI).
Fast/Slow EMA: Standard settings are 19 and 39 (McClellan defaults), but these can be tightened for faster scalping or widened for long-term trend following.
Show Momentum: Toggle this off if you simply want to see the raw "Net Highs" data without the EMA smoothing.
FOMC Policy Events[nakano]### FOMC Policy Events
#### Summary / 概要
This indicator plots the historical policy decisions of the U.S. Federal Open Market Committee (FOMC) directly onto your chart. It is an essential tool for traders and analysts who want to visualize how the market reacts to changes in monetary policy. All historical event data from 2000 onwards is hard-coded into the script for fast and reliable performance.
このインジケーターは、米国連邦公開市場委員会（FOMC）の過去の政策決定をチャート上に直接プロットします。金融政策の変更に対する市場の反応を視覚的に分析したいトレーダーやアナリストにとって不可欠なツールです。2000年以降の全ての過去イベントデータが含まれます。
---
#### Features / 主な機能
* **Comprehensive Historical Data / 包括的な過去データ**
Includes all historical scheduled and emergency FOMC rate decisions from January 2000.
2000年1月以降の、全ての定例および緊急のFOMC金利決定の履歴を含みます。
* **Detailed Event Labels / 詳細なイベントラベル**
Each event is marked with a clear label showing:
各イベントには、以下の情報を示す明確なラベルが表示されます：
* The exact date of the announcement.
発表の正確な日付
* The type of decision (Rate Hike, Rate Cut, Hold, or Emergency Cut).
決定内容（利上げ、利下げ、据え置き、緊急利下げ）
* The resulting Federal Funds Target Rate.
決定後の政策金利（FF金利ターゲット）
* **Fully Customizable Display / 柔軟な表示設定**
From the indicator's settings menu, you can:
インジケーターの設定画面から、以下の操作が可能です：
* Individually toggle the visibility of Rate Hikes, Rate Cuts, and Holds.
「利上げ」「利下げ」「据え置き」の表示・非表示を個別に切り替える
* Choose your preferred language for the labels (English or Japanese).
ラベルの表示言語を「英語」または「日本語」から選択する
* **Clear Visual Cues / 明確なビジュアル**
* **Rate Hikes:** Green labels positioned below the price bars.
**利上げ：** バーの下に緑色のラベル
* **Rate Cuts:** Red labels positioned above the price bars.
**利下げ：** バーの上に赤色のラベル
* **Holds:** Gray labels positioned above the price bars.
**据え置き：** バーの上に灰色のラベル
* **Emergency Events:** Specially highlighted in maroon for easy identification.
**緊急イベント：** 識別しやすいように特別な色（ワインレッド）で強調表示
---
#### How to Use / 使用方法
1. Add the indicator to your chart.
インジケーターをチャートに追加します。
2. Click the **Settings (gear icon)** next to the indicator name on your chart.
チャート上のインジケーター名の横にある**設定（歯車アイコン）**をクリックします。
3. In the "Display Settings" section, check or uncheck the boxes to show or hide different event types.
「Display Settings」セクションで、各イベントタイプの表示・非表示をチェックボックスで切り替えます。
4. In the "Language Settings" section, select your preferred language from the dropdown menu.
「Language Settings」セクションで、ドロップダウンメニューからお好みの言語を選択します。
---
#### A Note on Data / データについて
The event data included in this script is static and contains historical decisions up to September 2025. The script does not plot future scheduled meetings and will need to be manually updated as new policy decisions are made.
このスクリプトに含まれるイベントデータは静的なものであり、2026年1月までの過去の決定を含んでいます。未来のスケジュールをプロットする機能はなく、新しい金融政策が決定された場合は、スクリプトの手動更新が必要です。
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
Apex Wallet - Real-Time Market Volume Delta & Order FlowOverview The Apex Wallet Market Volume Delta is a professional liquidity analysis tool designed to decode the internal structure of market volume. Unlike standard volume bars, this script calculates the "Delta"—the net difference between buying and selling pressure—to reveal the true conviction of market participants in real-time.
Dynamic Multi-Mode Intelligence This indicator features an adaptive calculation engine that recalibrates its internal logic based on your trading style:
Scalping: Fast-response settings (9-period MA) for immediate execution on low timeframes.
Day-Trading: Balanced settings (26-period MA) optimized for intraday sessions.
Swing-Trading: High-filter settings (52-period MA) for major trend confirmation.
Advanced Order Flow Detection
Real-Time Delta Calculation: Tracks the precise interaction between price and volume to identify aggressive buyers vs. passive sellers.
Dual Calculation Modes: Choose between "Buy/Sell" (aggressive) or "Buy/Sell/Neutral" for a more granular view of flat market periods.
Visual Delta Labels: Displays the net volume values directly above each bar, with color-coded alerts (Green for Bullish Delta, Red for Bearish Delta).
Scalable UI: Features a "Scale Down Factor" to simplify large volume numbers into readable units (10/100/1k/10k).
Key Features:
Visual Split: Clearly differentiates historical volume from real-time buying and selling flows.
Trend Confirmation: Integrated optional EMA to compare current volume surges against the average market liquidity.
Clean Interface: Professional-grade histogram styling with clear demarcation of session activity.
Momentum Exhaustion UltimateMomentum Exhaustion Ultimate
Introduction
This indicator is a comprehensive market timing tool based on Consecutive Bar Counting logic. Unlike standard oscillators like RSI or MACD which smooth data using averages (lagging price), this strategy analyzes the specific sequence and persistence of price action to identify moments of trend exhaustion in real-time.
It is widely used on professional trading desks to answer one specific question: "Has the current trend run out of gas?"
The Core Philosophy
Markets do not move in straight lines; they move in waves of momentum and exhaustion. This strategy posits that a trend typically exhausts itself after a specific cadence of buying or selling pressure. By "counting" these pressure bars, we can identify high-probability zones where the market is likely to pause (Extension) or reverse completely (Exhaustion).
How It Works: The Two Phases
1. The Extension Phase (The "9"):
Goal: Identifies a trend that is becoming overextended (Momentum).
The Signal: A count of 9 consecutive bars closing higher/lower than the close 4 bars prior.
Meaning: This is a "Momentum Pause" signal. When a 9 appears, the market often corrects for 1-4 bars. It is the first warning sign of fatigue.
2. The Exhaustion Phase (The "13"):
Goal: Identifies the final exhaustion of the trend.
The Signal: A count of 13 bars (not necessarily consecutive) where price pushes to new extremes relative to the high/low 2 bars prior.
Meaning: This is the "Reversal" signal. The buying/selling pressure has likely fully capitulated, and a major counter-trend move is expected.
How To Use This Script
This indicator is not just a "reversal catcher." It includes institutional features (Structure Lines and Invalidation Levels) to help you manage the trade:
Don't Just Fade the "9": A "9" isn't always a buy signal. If the trend is strong, the "9" might just be a pause. Wait for the 13 for major reversals.
The "Quality Filter" (Diamond ♦): A signal is statistically stronger if the final bar (8 or 9) actually pushes deeper than previous bars. This script marks these high-quality signals with a Diamond (♦).
The Trend Barrier Breakout: The script plots Structural Support/Resistance Lines (Dashed Red/Green). If price ignores a Reversal Signal and breaks through this line, the reversal has failed. Cancel your fade and trade the Breakout (Trend Continuation). This is often the most profitable signal in the system.
The "Invalidation" Line: The Blue Dotted line represents the "Stop Loss" level derived from the volatility of the count. If price closes past this line, the signal is invalid—exit immediately.
Features Included in This Script:
Full Engine: Includes both the Extension (1-9) and Exhaustion (1-13) counters.
Wick-Sensitive Mode: Option to switch logic for fast-moving markets (Crypto/FX) to detect wicks rather than closes.
Deferral Logic: "Qualifier" rules that prevent a 13 from firing until momentum actually slows down.
Structure Lines: Institutional trend barriers for breakout trading.
Volatility Stops: Dynamic invalidation levels to protect capital.
Minimalist Mode: Hides the "number soup" to keep your chart clean, showing only actionable signals.
Paulo - Volume Scalp AutoIndicator Name:
Paulo – Volume Scalp Auto (Crypto)
Description:
This indicator was developed for aggressive crypto scalping, with a focus on 1-minute charts and highly volatile altcoins.
It combines volume analysis, price action, and ATR-based volatility, automatically adjusting signal sensitivity depending on whether the market is in a normal or volatile regime.
The script detects relevant volume spikes relative to the moving average, helping filter out weak entries and highlighting potential short-term participation of large market players.
When volatility increases, the indicator automatically raises the volume threshold, reducing false signals that are common in fast-moving altcoins.
Key features:
• Automatic Normal vs. Volatile mode
• Dynamic volatility detection
• Visual buy and sell signals
• Native TradingView alerts
• Optimized for 1-minute crypto scalping
Disclaimer: This indicator is a decision-support tool only and does not constitute financial advice. Always use proper risk management.
ASIA + Zones (1st/2nd) + Trend Table (M1/M3/M5..D1) Disegna il box della sessione Asia (23:00–07:00 Roma) e ne calcola High/Low.
Evidenzia le ZONE e salva quelle fuori dalla sessione Asia.
Tabella trend in alto a destra con BULL/BEAR/NA per i timeframe selezionabili:
M1, M3, M5, M15, H1, H4, D1, colori personalizzabili.
La direzione viene stimata con pivots (break dell’ultimo pivot high = BULL, break dell’ultimo pivot low = BEAR).
Draws the Asia session box (23:00–07:00 Rome time) and calculates its High/Low.
Highlights the zones and stores those outside the Asia session.
Trend table in the top-right corner showing BULL / BEAR / NA for selectable timeframes:
M1, M3, M5, M15, H1, H4, D1, with fully customizable colors.
Trend direction is estimated using pivots:
Break of the last pivot high → BULL
Break of the last pivot low → BEAR
Cycle & Flow Indicator - D_QuantCycle & Flow Architecture (CFA) | Multi-Factor Regime Analysis
Overview
The Cycle & Flow Architecture (CFA) is a trend-following visualization engine that utilizes a triple-confirmation "Voting Mechanism" to identify market regimes. Rather than relying on a single lagging indicator, the CFA aggregates Cyclical Momentum, Directional Bias, and Volume Flow from the Daily timeframe to provide a unified consensus signal on your current chart.
The goal of this script is to filter market noise by requiring a quantitative agreement between three non-correlated mathematical models before a "Regime Change" is visualized.
The Quantitative Logic
The core of the CFA is its Aggregation Engine, which calculates a normalized Quant Score ranging from -1.0 to +1.0. The engine polls three distinct components:
Schaff Trend Cycle (STC): This component identifies the cyclical nature of price. It applies a double-smoothed stochastic process to a MACD line. In this script, the STC contributes a bullish signal when the cycle is above 25 and a bearish signal when the cycle is below 75 and falling.
Parabolic SAR (PSAR): Used as a rigid directional filter. It calculates the "Stop and Reverse" points, if the price is above the PSAR, it contributes a +1 to the consensus, if below, a -1.
Ease of Movement (EOM): This is the volume-validation component. It analyzes the relationship between price change and volume. A positive EOM suggests price is moving up on light resistance (conviction), while negative EOM suggests easy downward movement.
How it Works: The Voting Mechanism
The script calculates these three values on the Daily (D) timeframe using request.security to ensure higher-timeframe confluence.
Bullish Regime: Triggered when the average score exceeds the Bullish Threshold (Default: 0.2).
Bearish Regime: Triggered when the average score falls below the Bearish Threshold (Default: -0.2).
Neutral Regime: When the components disagree or the scores hover near zero, the engine renders a "Grey" noise state, signaling a high-probability "sit on hands" environment.
How to Use
The Ghost Cloud: The central Hull Moving Average (HMA 20) acts as the baseline. The "cloud" fills between this baseline and the price, colored by the current Score.
Volatility Extensions: The script plots ATR-based bands (14-period) that only appear during confirmed regimes. In a Bullish regime, the upper band appears, in a Bearish regime, the lower.
Trade Execution: Traders typically look for the "Bullish/Bearish Start" alerts to signal the beginning of a new regime and use the "Grey" neutral zones to tighten stop-losses or exit positions.
Settings
Thresholds: Increase the Bullish/Bearish thresholds (e.g., to 0.5) to require more stringent agreement between the STC, PSAR, and EOM.
Timeframe Note: The calculations are hardcoded to the Daily timeframe to provide a "North Star" directional bias regardless of whether you are viewing the 15m or 4h chart.
Disclaimer: This tool is for educational and analytical purposes only. Quantitative models represent mathematical probabilities, not guarantees.
© D_QUANT
SIDDAMRAJU2Open the indicator Settings (Click the Gear icon).
Look for the "Target Line Settings" group.
You can now pick any Color you want, change the Style to Solid/Dotted/Dashed, and make the line Thicker or Thinner.
Would you like me to...
Add "Risk to Reward" (RR) Ratio to the table? Since we know the Stop Loss distance and the Target distance, I can calculate the exact Ratio (e.g., "1:2.5") and display it in the dashboard so you know if the trade is worth taking.
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.
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.
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.
Vlad EmaUsado para daytrading, cruces de ema lenta y rápida, además de usar la ema de los 200 periodos
