Square Lines Around customized font_RAMLAKSHMANDASSquare Lines Around customized font_RAMLAKSHMANDAS
This indicator draws dynamic horizontal lines at all integer squares around the square root of the current close price, helping traders visualize price levels with mathematical significance. Each line is labeled, and the level font size can be customized interactively through a simple “Text Size (1-5)” input, making it easy to adapt for different chart sizes or visibility needs.
Features:
Plots horizontal lines at every perfect square (i.e., 
i
2
i 
2
 ) near the rounded square root of close price.
Displays level values as labels, with user-adjustable font size (select 1 to 5, mapped to tiny up to huge).
All lines and labels (levels) are automatically updated with each new candle.
User controls for line color, line width, level range, and label font size.
Fully compatible with all TradingView intervals and symbols.
Usage:
Helps spot mathematically relevant support/resistance zones for custom strategies.
Useful for visual traders, quant experimenters, and anyone interested in market geometry.
Best suited for intraday, positional or backtest analysis where precise price levels matter.
Customizations:
Range +/- around square root (choose how many lines you want).
Line color and thickness for clarity.
Select label font size: 1 (tiny), 2 (small), 3 (normal), 4 (large), 5 (huge).
How to use:
Add to your chart, tweak settings in the input panel, and see instant updates.
Labels are sized to your preference for maximum visibility.
지표 및 전략
CandelaCharts - Oscillator Concepts 📝  Overview 
 Oscillator Concepts  shows a single, easy‑to‑read line on a scale from  −1 to +1 . Near  0  means balance; beyond  +1  or  −1  means the move is stretched. You can add helpful layers like trend stripes, participation shading, volatility markers, calendar dividers, divergence tags, and simple signal markers. Pick a trading profile (Scalping / Day Trade / Swing / Investment) and the lengths update for you.
 📦  Features 
A quick tour of the visual layers you can enable. Use this to decide which parts to turn on for reading momentum, extremes, trend bias, participation, and volatility at a glance.
 
   The Line (−1…+1) : A clean momentum read with an optional EMA smooth and clear 0 / ±1 guides.
   OS/OB Visualization : Soft gradient fills when price action pushes outside ±1; optional background shading for quick scanning.
   Trend Radar : Thin stripes just outside the band that show up‑ or down‑bias using a fast‑vs‑slow EMA spread with anti‑flicker logic.
   Participation : Shading that reflects who’s pushing — by MFI, classic up/down volume, delta volume, or a combo model that rewards agreement.
   Velocity Pulse : Tiny symbols that only appear when volatility is elevated (outside a neutral 40–60 zone).
   Fractal Map : Subtle dashed dividers at Daily / Weekly / Monthly / Yearly / 5‑Year boundaries (Auto picks a sensible cadence).
   Divergences : Regular bullish/bearish tags at pivots, with an optional high‑probability filter.
   Unified Signals : One common vertical level for triangles (OS/OB re‑entries) and divergence icons so your eye doesn’t hunt.
   Profiles : Four presets tune all lookbacks together so the tool stays consistent across timeframes.
   Themes : Multiple palettes or fully custom bear/mid/bull colors.
   Alerts : Ready for “Any alert() function call” with OS/OB and Divergence options. 
 
 ⚙️  Settings 
Every adjustable input in plain English. Set your profile, show or hide reference levels, pick a theme, and toggle components so the visuals match your style and timeframe.
 
   Trading Profile : Scalping / Day Trade / Swing / Investment — automatically adjusts core lengths. 
   −1…+1 Levels : Show reference lines at ±1. 
   Smoothing  &  Length : EMA smoothing for The Line. 
   OS/OB Zones  &  Show Fill : Optional background shade plus gentle gradient fills beyond ±1. 
   Theme : Presets (Default, Blue–Orange, Green–Red, Teal–Fuchsia, Aqua–Purple, Black–Green, Black–White) or  Custom .
   Divergences : Turn on detection at pivot highs/lows.  Length  sets left/right bars.  HP  filter asks that at least one oscillator anchor sits outside ±1. 
   Participation : Choose  MFI ,  Volume ,  Delta Volume , or  MFI + Vol + Delta . Set the window; optionally smooth it. 
   Trend Radar : Up or down stripes just beyond ±1 based on a fast/slow EMA spread. Tune  Fast  and  Slow . 
   Velocity Pulse : Symbols appear only when volatility exits the 40–60 zone; use  Fast / Slow  to adjust sensitivity. 
   Fractal Map : Vertical dividers at time boundaries.  Auto  selects per timeframe, or pick  Daily / Weekly / Monthly / Yearly / 5 Years . 
   Signals : Show  All , only  OS/OB , or only  Divergence  markers (shared height for quick scanning).
   Alerts - OS/OB Conditions : Fire when The Line  enters  extremes (crosses above +1 or below −1). 
   Alerts - OS/OB Signals : Fire when The Line  re‑enters  the band (comes back inside from > +1 or < −1). 
   Alerts - Divergence Conditions : Raw regular divergences right when the pivot forms (no HP filter). 
   Alerts - Divergence Signals : Confirmed regular divergences that pass the HP filter.
 
 ⚡️  Showcase 
A visual gallery of the indicator's components. Each image highlights one layer at a time—The Line, OS/OB fills, Trend Radar, Participation, Velocity Pulse, Fractal Map, Divergences, and Signals—so you can quickly recognize how each looks on a live chart.
 The Line 
 Participation 
 Trend Radar 
 Velocity Pulse 
 Fractal Map 
 Divergences 
 Signals 
 Overbought/Oversold 
 📒  Usage 
Hands‑on guidance for reading the line, thresholds, and add‑ons in live markets. Learn when to favor continuation vs. mean‑reversion, how to weigh participation and volatility, and where to set invalidation and targets.
  
   Scale : 0 = balance. ±1 = adaptive extremes. A push beyond ±1 isn’t an automatic fade — check trend stripes, participation, and volatility. 
   Trend vs Mean‑Revert : With bull stripes, favor pullback buys on OS re‑entries; with bear stripes, favor fades on OB re‑entries. 
   Participation : Strong positive shading supports continuation; weak/negative during new highs is a caution flag. 
   Volatility Pulse : Symbols only appear when energy is high. In trends they often mark expansion; counter‑trend they can precede snap‑backs. 
   Divergences : Raw is early; HP is selective. Treat HP as higher‑quality context, not a stand‑alone signal. 
   Risk : Use nearby structure (swing points, session highs/lows, or a fractal divider) for invalidation. Scale targets around 0 / ±1 and current vol. 
   Profiles : If entries feel late/early, try a different profile before hand‑tuning every length. 
 
 🚨  Alerts 
What you can be notified about and how to turn it on. Covers entering extremes, re‑entries from extremes, and divergence detections, with a recommended schedule (once per bar close).
 
   OS/OB Condition — Entered Overbought  → when The Line moves up through +1.
   OS/OB Condition — Entered Oversold  → when The Line moves down through −1. 
   OS/OB Signal — Re‑Entry from Overbought/Oversold  → when The Line comes back inside from an extreme. 
   Divergence Condition — Bullish/Bearish (raw)  → printed as soon as a regular divergence is detected. 
   Divergence Signal — Bullish/Bearish (confirmed)  → only fires when the high‑probability filter passes. 
 
 ⚠️  Disclaimer 
 These tools are exclusively available on the TradingView platform. 
Our charting tools are intended solely for informational and educational purposes and should not be regarded as financial, investment, or trading advice. They are not designed to predict market movements or offer specific recommendations. Users should be aware that past performance is not indicative of future results and should not rely on these tools for financial decisions. By using these charting tools, the purchaser agrees that the seller and creator hold no responsibility for any decisions made based on information provided by the tools. The purchaser assumes full responsibility and liability for any actions taken and their consequences, including potential financial losses or investment outcomes that may result from the use of these products.
By purchasing, the customer acknowledges and accepts that neither the seller nor the creator is liable for any undesired outcomes stemming from the development, sale, or use of these products. Additionally, the purchaser agrees to indemnify the seller from any liability. If invited through the Friends and Family Program, the purchaser understands that any provided discount code applies only to the initial purchase of Candela's subscription. The purchaser is responsible for canceling or requesting cancellation of their subscription if they choose not to continue at the full retail price. In the event the purchaser no longer wishes to use the products, they must unsubscribe from the membership service, if applicable.
We do not offer reimbursements, refunds, or chargebacks. Once these Terms are accepted at the time of purchase, no reimbursements, refunds, or chargebacks will be issued under any circumstances.
By continuing to use these charting tools, the user confirms their understanding and acceptance of these Terms as outlined in this disclaimer.
Distance from Anchored VWAPjust a simple script allowing you to drop anchored vwap from a daily event ie earnings release, breaking news etc.  Calculates distance from anchored vwap to also give you an idea on extension away from move for pull ins or pull backs
Clean Market Structures This indicator marks out the highs and lows on the chart, allowing traders to easily follow the market structure and identify potential liquidity zones.
 Highs  are plotted when an up candle is followed by a down candle, marking the highest wick of that two-candle formation.
 Lows  are plotted when a down candle is followed by an up candle, marking the lowest wick of that two-candle formation.
These levels often act as  liquidity  pools, since  liquidity  typically rests above  previous highs  and below  previous lows .
By highlighting these areas, the indicator helps traders visualize where price may seek liquidity and react, making it useful for structure-based and liquidity-driven trading strategies.
Highs and Lows MarkerIndicator Description – Highs and Lows Marker
This indicator identifies swing highs and swing lows based on a simple two-candle pattern structure:
High Formation (Swing High):
A High is marked when a bullish candle (Candle Up) is immediately followed by a bearish candle (Candle Down).
The High value is taken as the highest wick price between the two candles in this formation.
This represents a potential short-term resistance or turning point in the market.
Low Formation (Swing Low):
A Low is marked when a bearish candle (Candle Down) is immediately followed by a bullish candle (Candle Up).
The Low value is taken as the lowest wick price between the two candles in this formation.
This represents a potential short-term support or reversal area.
Enhanced MA Crossover Pro📝 Strategy Summary: Enhanced MA Crossover Pro
This strategy is an advanced, highly configurable moving average (MA) crossover system designed for algorithmic trading. It uses the crossover of two customizable MAs (a "Fast" MA 1 and a "Slow" MA 2) as its core entry signal, but aggressively integrates multiple technical filters, time controls, and dynamic position management to create a robust and comprehensive trading system.
💡 Core Logic
Entry Signal: A bullish crossover (MA1 > MA2) generates a Long signal, and a bearish crossover (MA1 < MA2) generates a Short signal. Users can opt to use MA crossovers from a Higher Timeframe (HTF) for the entry signal.
Confirmation/Filters: The basic MA cross signal is filtered by several optional indicators (see Filters section below) to ensure trades align with a broader trend or momentum context.
Position Management: Trades are managed with a sophisticated system of Stop Loss, Take Profit, Trailing Stops, and Breakeven stops that can be fixed, ATR-based, or dynamically adjusted.
Risk Management: Daily limits are enforced for maximum profit/loss and maximum trades per day.
⚙️ Key Features and Customization
1. Moving Averages
Primary MAs (MA1 & MA2): Highly configurable lengths (default 8 & 20) and types: EMA, WMA, SMA, or SMMA/RMA.
Higher Timeframe (HTF) MAs: Optional MAs calculated on a user-defined resolution (e.g., "60" for 1-hour) for use as an entry signal or as a trend confirmation filter.
2. Multi-Filter System
The entry signal can be filtered by the following optional conditions:
SMA Filter: Price must be above a 200-period SMA for long trades, and below it for short trades.
VWAP Filter: Price must be above VWAP for long trades, and below it for short trades.
RSI Filter: Long trades are blocked if RSI is overbought (default 70); short trades are blocked if RSI is oversold (default 30).
MACD Filter: Requires the MACD Line to be above the Signal Line for long trades (and vice versa for short trades).
HTF Confirmation: Requires the HTF MA1 to be above HTF MA2 for long entries (and vice versa).
3. Dynamic Stop and Target Management (S/L & T/P)
The strategy provides extensive control over exits:
Stop Loss Methods:
Fixed: Fixed tick amount.
ATR: Based on a multiple of the Average True Range (ATR).
Capped ATR: ATR stop limited by a maximum fixed tick amount.
Exit on Close Cross MA: Position is closed if the price crosses back over the chosen MA (MA1 or MA2).
Breakeven Stop: A stop can be moved to the entry price once a trigger distance (fixed ticks or Adaptive Breakeven based on ATR%) is reached.
Trailing Stop: Can be fixed or ATR-based, with an optional feature to auto-tighten the trailing multiplier after the breakeven condition is met.
Profit Target: Can be a fixed tick amount or a dynamic target based on an ATR multiplier.
4. Time and Session Control
Trading Session: Trades are only taken between defined Start/End Hours and Minutes (e.g., 9:30 to 16:00).
Forced Close: All open positions are closed near the end of the session (e.g., 15:45).
Trading Days: Allows specific days of the week to be enabled or disabled for trading.
5. Risk and Position Limits
Daily Profit/Loss Limits: The strategy tracks daily realized and unrealized PnL in ticks and will close all positions and block new entries if the user-defined maximum profit or maximum loss is hit.
Max Trades Per Day: Limits the number of executed trades in a single day.
🎨 Outputs and Alerts
Plots: Plots the MA1, MA2, SMA, VWAP, and HTF MAs (if enabled) on the chart.
Shapes: Plots visual markers (BUY/SELL labels) on the bar where the MA crossover occurs.
Trailing Stop: Plots the dynamic trailing stop level when a position is open.
Alerts: Generates JSON-formatted alerts for entry ({"action":"buy", "price":...}) and exit ({"action":"exit", "position":"long", "price":...}).
Emperor Moving Averages📘 Description: Emperor Moving Averages — Smart Trend Strength System
Emperor Moving Averages (EMA) is a next-generation trend tracking and confirmation system designed for traders who demand clarity, structure, and actionable precision.
It goes beyond traditional moving averages — combining multi-length dynamic trend analysis, color-coded slope momentum, trend strength visualization via table, and smart crossover alerts.
This indicator is ideal for scalpers, swing traders, and position traders who want to stay aligned with the dominant market momentum without cluttering the chart.
  
  
  
  
⚙️ Core Features
🧠 1. Dynamic Multi–Moving Average System
Plot up to 8 customizable MAs (EMA, SMA, WMA, or HMA).
Each line dynamically reflects short to long-term trend behavior — perfect for spotting confluence zones and directional bias.
🎨 2. Auto Slope Coloring
Each moving average is automatically colored based on slope direction:
🟢 Bullish (Up Slope) — Trend gaining strength upward
🔴 Bearish (Down Slope) — Trend losing strength or reversing
The slope logic helps identify momentum shifts far earlier than crossover-based signals.
🌫️ 3. Clean Chart Toggle
Toggle all MA lines ON/OFF instantly using
“Show Moving Average Lines?”
for a clutter-free chart — view only the Trend Strength Table when you want a quick macro snapshot.
📊 4. Trend Strength Table
The heart of the indicator — the Trend Strength Table displays every MA’s direction in real-time.
It instantly tells you:
Which MAs are bullish or bearish
How many are aligned in one direction
Whether the overall bias is strengthening or weakening
You can move this table anywhere on your chart — including:
Top / Middle / Bottom + Left / Center / Right positions
This makes it ultra-flexible for any chart layout or resolution.
🔔 5. Intelligent Cross Alerts
Built-in alerts notify you whenever a faster MA crosses over or under a slower MA.
Crossover Up: Fast MA breaks above slow MA → Bullish signal
Crossunder Down: Fast MA breaks below slow MA → Bearish signal
You can adjust the cross sensitivity for tighter or wider detection.
📈 How to Use
Choose your MA type (EMA / SMA / WMA / HMA).
Set the number of MAs (up to 8) and their lengths.
Turn “Show Moving Average Lines” on or off based on preference.
Use the Trend Table to instantly gauge trend strength alignment across all MAs.
Turn on Cross Alerts to get notified on key trend shifts.
🧩 Recommended Setups
Short-term traders (Scalping):
Use smaller MA lengths (e.g., 9, 21, 34) to capture micro-trends.
Swing traders:
Combine 20, 50, 100, 200 to analyze structure shifts and retracements.
Institutional confluence:
Use all 8 MAs together for high-confidence directional bias.
⚡ Advantages
✅ Trend visualization made intuitive
✅ No lagging repainting elements
✅ Adjustable table positioning
✅ Lightweight performance
✅ Perfect companion to price action strategies
💬 Alerts
MA Crossover Up: Fast MA > Slow MA
MA Crossover Down: Fast MA < Slow MA
Use these alerts for automated trend confirmation and entry management.
👑 Final Words
Emperor Moving Averages isn’t just another MA indicator —
it’s a visual intelligence tool that helps traders see market structure clearly, without noise.
Built for clarity, precision, and professional-grade usability.
⚔️ Perfect Combination — Emperor RSI Candle + Emperor Moving Averages
🔸 Emperor RSI Candle
Detects internal candle momentum and RSI power zones
Identifies early exhaustion or entry zones
Great for timing precise entries and exits
🔹 Emperor Moving Averages
Confirms directional trend and slope strength
Validates macro structure and overall momentum direction
Great for staying aligned with the dominant trend flow
✅ Together they create a complete Emperor Trend System:
Use RSI Candle for entry timing and momentum confirmation.
Use Emperor MA Trend Table to confirm overall trend strength.
Enter trades when both align — for maximum accuracy and confidence.
📢 Credits
Developed by Live Trading Emperor — Creator of the Emperor Series for advanced market analysis.
Follow for more premium-grade, scalper-friendly, and MTF-enhanced tools.
Smart Money vs Retail (COT Flow) 0213Smart Money vs Retail (COT Flow) 0213
Smart Money vs Retail (COT Flow) 0213
Smart Money vs Retail (COT Flow) 0213
Volumetric Spectrogram [by Oberlunar]Volumetric Spectrogram  
 A two-pole, price-relative volume profiler that turns regional buy/sell pressure into clean oscillators and actionable regimes in a multi-broker setup. 
 What it measures 
The indicator divides the recent price span into  bins  and accumulates buy vs. sell volume in each bin, then summarises two regions with respect to the current price:
 
 Upper (↑)  — volume that traded  above  the current price (overhead supply/demand).
 Lower (↓)  — volume that traded  below  the current price (underfoot bid/pressure).
 
Per region, it computes BUY% and SELL%, then forms two normalised oscillators in  :
 
 Upper Osc  = Upper(BUY%) − Upper(SELL%) → positive when overhead offers are being lifted (breakout acceptance), negative when overhead sell pressure dominates (resistance).
 Lower Osc  = Lower(BUY%) − Lower(SELL%) → positive when sub-price bids strengthen (support/absorption), negative when selling persists beneath price (weak underbelly).
 
Both oscillators are optionally smoothed with EMA and can be filled to zero or between curves for quick polarity/strength reading.
 Candle-fill modes across brokers 
The indicator supports multiple candle-fill policies tied to  cross-broker volumetric agreement  (e.g., spectral/range-only fills when ≥N brokers align above 70% bullish or below 20% bearish Buy%). This makes regime and pressure shifts visually explicit while filtering out unconfirmed noise.
 How it works (core algorithm) 
 
 Over a lookback window, find the high/low and split the range into N  bins .
 For each historical bar, approximate “buy” vs “sell” volume using candle direction and the close relative to each bin’s midprice; update left/right profiles per bin.
 Aggregate bins  above  the current price into the  Upper  region and bins  below  into the  Lower  region; compute regional totals and percentages.
 Convert to signed oscillators and smooth (EMA length per input).
 
 Scenario engine (table, every bar) 
A compact table reports, for Upper/Lower: BUY Vol, SELL Vol, BUY%, SELL%, and Net%. A classifier labels 8 regimes based on oscillator sign and recent expansion/decay: Sync Long/Short (Expanding/Decaying), Opposite Signs (Widening/Converging), and Tilts (Upper/Lower). This helps distinguish trend continuation, fade risk, compression before break, and asymmetric pressure (e.g., “Tilt Lower — bid/support strengthening”).
# Example strategies and annotated cases:
 There are different operational strategies: 
 1) Bottle-neck Strategy with multi-broker confirmation 
When  both oscillators are red  and they compress toward the zero line (a  bottle-neck [/i>), if the squeeze does  not  flip into the opposite trend but instead resolves in the  same  direction, you have a continuation setup that can be exploited:
• Pattern: both oscillators red → short, visible contraction (narrow, low-variance cluster) → break of the cluster lows → background shadow bars align bearish (multi-broker agreement).
Example:
   
This sequence often supports a 1.5–2.5 R/R trade, as in: 
  
 Bullish mirror 
If both oscillators are teal and compress, then expand upward  with  multi-broker agreement, the scenario becomes bullish after several bars; the position can be profitable with a reasonable risk setup:
Example: 
  
Follow-through: 
  
 
Here are the additional, English “playbook” examples you can append to the previous description.
 2) Dual-confirmation on volume spikes + multi-broker checks 
When pronounced volumetric spikes appear (up or down), trend often reverses sharply. In the figure, the circles highlight the spikes; once the spike subsides (reversion toward baseline), the oscillator turns bullish. The  double confirmation  of two consecutive minimum spikes acts as support for an ensuing up-move, with fill colors confirming direction.
Chart:
  
Even with a  single  spike confirmation, the reversion from an extreme often provides actionable long setups.
 3) Volume-pressure + regime-change (multi-broker) 
A prospective long configuration emerges when bullish volumetric pressure dominates and bearish pressure fades, especially if this occurs after a lateral phase, followed by a bullish volume spike and  multi-broker confirmation .
Chart:
  
Shadow bars subsequently confirm continuation in a bullish regime; however, a  possible regime change  is flagged by the scenario classifier and by a color flip in the volumetric borders ( “Possible regime change, but without multi-broker confirmation.”  is an appropriate label when applicable).
Chart:
  
After a verified mean-reversion, price transitions into a bearish configuration: both oscillators turn red. One can wait for a pullback and seek short entries.
Chart:  
  
As shown here, the regime change is anticipated well in advance by the oscillators and multi-broker pressure:
Chart:
  
 4) Contrastive regime-shift with multi-broker validation 
In a contrastive trading phase, the  lower  volumetric oscillator flips color first—buyers start attacking. The first set of background shadow bars does  not  agree with the regime flip; the second set does. This sequence (oscillator flip → later multi-broker agreement) is a robust early sign of a potential long setup.
Chart:
  
At the multi-broker level, all shadow bars turn fully green and the setup becomes unambiguously bullish.
Chart:  
  
Note that bearish pressure can still be non-trivial on the volumetric scale—even if it does not reach prior extreme minima—so risk controls should reflect the residual supply.
 Delta-bar coloring (optional) 
Bars (or candle overlays) can be tinted by a  multi-venue  weighted bias:
 
 Choose venues (OKX, Coinbase, Bybit, Binance, BlackBull…).
 Weight by Equal / Last Volume / SMA Volume.
 Apply  deadband  to suppress flicker around neutrality and a  gamma  curve to modulate opacity with |bias|.
 
This layer is independent of the spectrogram core but provides immediate market-wide flow context, consistent with the table and fills.
 Inputs (essentials) 
 
 Calculation Period  and  Bins  — resolution and depth of the price-range histogram.
 EMA length  — smoothing per oscillator (optional)
 Fill options  — to zero / between curves, gradual opacity by |osc|, min/max alpha.
 Delta Bar  — enable tinting, gamma, neutral band; venue list and weighting mode.
 
 Reading guide 
 
 Upper > 0 & expanding : overhead supply is being lifted → breakout acceptance risk rises.
 Lower > 0 & expanding : sub-price bids strengthen → pullbacks more likely to absorb.
 Opposite signs widening : tug-of-war; avoid late entries.
 Converging : compression → prepare for break.
 Use the table’s regime label to keep the narrative honest bar-by-bar.
 
 Notes & limits 
 
 Buy/Sell attribution uses candle direction and range partitioning (no L2/tick tape).
 Venue aggregation relies on per-exchange volume and your chosen weighting; symbols must align (e.g., BTCUSDT pairs).
 Oscillators are relative to the current price (regional) by design; they complement, not replace, classical volume profile.
 
—  Oberlunar  👁 ★
🔥 Ultimate Crypto Intraday ProTo get the indicator, write to Telegram: @ASTRO_rou
This indicator helps you trade, finds market structures and important chart elements.
Krist1aqq - Premium Signal SystemTo get the indicator, write to Telegram: @ASTRO_rou
This indicator gives signals to long or short, and also has custom notifications in telegram via a webhook, you will know the information at the entrance, when taking takes, as well as when closing a position. The indicator is suitable for a 15min - 4h timeframe.
AnkeAlgo A68 strategy™ || AnkeAlgo®[16.6]## ✅ Multi-Timeframe Trend Strategy Based on MFI and Momentum Factors
### 📌 Overview  
This strategy combines **Money Flow Index (MFI)** and **Momentum** to identify trend continuation and momentum reversal opportunities in the crypto market. It focuses on volume-weighted capital flow and price strength, generating trend-biased signals suitable for swing and intraday traders.
---
### 📊 Technical Indicators Used  
| Indicator | Purpose |
|-----------|---------|
| **MFI (Money Flow Index)** | Detects capital inflow/outflow and filters range-bound markets |
| **Momentum Indicator** | Measures price acceleration and confirms breakout strength |
| **Optional: ATR / EMA Filters** | Can be added for volatility stop or trend validation |
---
### ⚙️ Core Logic  
- **Trend Confirmation**: MFI exceeds threshold and aligns with price direction  
- **Momentum Entry Trigger**: Trades are executed only when momentum crosses a signal level  
- **Noise Filter**: Avoids entries when MFI divergence or momentum weakness is detected  
- **Position Management**: Supports ATR-based or percentage-based stop-loss systems  
---
### 🪙 Market and Asset  
✅ Designed for crypto derivatives  
**Recommended symbol:** `ETHUSDT.P` (Perpetual Futures)
---
### ⏱️ Recommended Timeframes  
- 30-minute  
- 45-minute  
- 1-hour  
> The **45m timeframe** shows the most stable performance in forward testing.
---
### 📈 Strategy Features  
- Performs best during trending and high-momentum phases  
- Low overfitting risk, adaptable across different volatility environments  
- Can be used as a signal engine for grid, martingale, or multi-asset systems  
- Easily extendable to BTC, SOL, BNB, and other high-liquidity assets  
---
### ⚠️ Risk Disclaimer  
- This is **not** a mean-reversion strategy and may produce false signals in sideways markets  
- Stop-loss management and position sizing are required for live deployment  
- Backtest results do not guarantee live trading performance due to slippage and trading fees  
---
Krist1aqq | Market Structure AnalysisTo get the indicator, write to Telegram: @ASTRO_rou
This indicator helps you trade, finds market structures and important chart elements.
AMTD-GME Correlation Detector📈 AMTD-GME Clean Correlation Detector
This indicator tracks extraordinary price movements in AMTD Digital (HKD) and analyzes their correlation with GME price action. Research has shown these stocks often move together during significant market events, with GME sometimes following AMTD with a 1-3 bar delay.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
The indicator fetches AMTD data. It calculates multiple pump detection signals:
- Price Spike Detection: Triggers when price increases exceed threshold (default 10%)
- Volume Surge: Activates when volume exceeds average by multiplier (default 3x)
- Bollinger Band Breakout: Detects statistical anomalies with volume confirmation
- Momentum Surge: Combines RSI >70 with positive MACD
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
VISUAL ELEMENTS EXPLAINED:
🔴 Main Line (Simple Mode):
- Red = Extreme pump (score >75)
- Orange = Moderate pump (score 50-75)  
- Yellow = Weak pump (score 25-50)
- Gray = Normal conditions
📊 Orange Bars: Volume ratio multiplied by 10 for visibility. Shows when volume is unusually high.
🔵 Correlation Line (Correlation Mode): 
- Shows real-time correlation coefficient (0-100%)
- Green >70% = Strong correlation
- Blue 40-70% = Moderate correlation
- Gray <40% = Weak/no correlation
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
TABLE INDICATORS:
Status Emojis:
🚀 SYNC! = Both pumping simultaneously
⏰ DELAYED = GME following AMTD pattern
⚠️ DIVERGE = Stocks moving opposite directions
📊 NORMAL = No significant pattern
Metrics Shown:
- AMTD/GME % = Current bar price change
- Corr = 30-bar correlation coefficient
- Lag = Detected delay between AMTD and GME moves
- Score = Combined pump strength (0-100)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
LAG DETECTION:
The indicator analyzes if GME follows AMTD with a delay by checking correlations at different time offsets. When "Lag: 2 bars" appears, it means GME typically follows AMTD movements after 2 bars. This is crucial for timing entries.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
SCORING SYSTEM:
Each stock gets 0-25 points for:
- Price spike detected (+25)
- Volume surge detected (+25)
- BB breakout detected (+25)
- Momentum confirmed (+25)
Combined Score = (AMTD + GME scores)/2 + correlation bonus
- Correlation >70% adds +20 bonus
- Correlation >50% adds +10 bonus
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
ALERTS:
1. Synchronized Pump - Both stocks pumping together
2. Delayed Pump - GME following AMTD after typical lag
3. Divergence - Correlation breaking down
4. AMTD Leading - AMTD pumping, GME hasn't yet (watch for entry)
5. Extreme Score - Combined score >80 (major event)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
BEST PRACTICES:
1. Use on 1-5 minute charts for pump detection
2. Watch for AMTD pumps when correlation >70%
3. If lag detected, wait X bars after AMTD pump for GME entry
4. Divergence warnings suggest correlation breakdown
5. Volume sync (both orange bars) = highest confidence
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
SETTINGS TO ADJUST:
- Price Threshold: Lower for more sensitive detection
- Volume Multiplier: Lower to catch smaller volume spikes  
- Correlation Period: Higher for longer-term correlation
- View Mode: Switch between Simple/Correlation/Advanced
Default settings optimized for intraday pump detection.
Crypto Futures Basis Tracker (Annualized)🧩 What is Basis Arbitrage 
 Basis arbitrage  is a market-neutral trading strategy that exploits the price difference between a cryptocurrency’s spot and its futures markets.
 
 When futures trade above spot (called contango), traders can buy spot and short futures, locking in a potential yield.
 When futures trade below spot (backwardation), the reverse applies — short spot and go long futures.
 
The yield earned (or cost paid) by holding this position until expiry is called the basis. Expressing it as an annualized percentage allows comparison across different contract maturities.
 ⚙️ How the Indicator Works 
This tool calculates the annualized basis for up to 10 cryptocurrency futures against a chosen spot price.
 
  You select one  spot symbol  (e.g., BITSTAMP:BTCUSD) and up to  10 futures symbols  (e.g., DERIBIT:BTCUSD07X2025, DERIBIT:BTCUSD14X2025, etc.).
  The script automatically computes the days-to-expiry (DTE) and the annualized basis for each future.
  A table displays for each contract: symbol, expiry date, DTE, last price, and annualized basis (%) — making it easy to compare the forward curve across maturities.
 
 ⚠️ Risks and Limitations 
While basis arbitrage is often considered low-risk, it’s not risk-free:
 
 Funding and financing costs  can erode returns, especially when borrowing or using leverage.
 Exchange or counterparty risk  — if one leg of the trade fails (e.g., exchange default, margin liquidation), the hedge breaks.
 Execution and timing risk  — the basis can tighten or invert before both legs are opened.
 Liquidity differences   — thin futures may have large bid-ask spreads or slippage.
 
Use this indicator for analysis and monitoring, not as an automated trading signal.
 Disclaimer:   Please remember that past performance may not be indicative of future results. Due to various factors, including changing market conditions, the strategy may no longer perform as well as in historical backtesting. This post and the script don't provide any financial advice.
Krist1aqq | 15-45min+To get the indicator, write to Telegram: @ASTRO_rou
This indicator gives signals to long or short, and also has custom notifications in telegram via a webhook, you will know the information at the entrance, when taking takes, as well as when closing a position. The indicator is suitable for a 15min - 4h timeframe.
DSS Bressert by MaxCapDSS Bressert by MaxCap is an enhanced version of the Double Smoothed Stochastic (DSS) oscillator, originally developed by Robert Bressert.
It is designed to identify overbought/oversold market conditions and detect momentum shifts using a double-smoothing stochastic calculation.
⸻
⚙️ How It Works
This indicator applies a two-stage stochastic calculation with double exponential smoothing to reduce noise and provide smoother trend signals.
	1.	Phase 1 (MIT):
A standard stochastic is calculated over the selected Stochastic_period, measuring the current close relative to the high-low range.
This value is then smoothed using an exponential moving average (EMA).
	2.	Phase 2 (DSS):
A second stochastic is applied on the smoothed MIT line using the same stochastic period, followed by another EMA smoothing step.
The result is a smooth and responsive momentum oscillator that filters out market noise.
This double-smoothing technique allows DSS to remain responsive to price changes while avoiding false reversals that are common with the traditional stochastic.
⸻
🎨 Visualization
	•	The orange line represents the main DSS value.
	•	Blue dots appear when DSS is rising (bullish momentum).
	•	Red dots appear when DSS is falling (bearish momentum).
	•	The horizontal levels 20 and 80 mark oversold and overbought zones, respectively.
⸻
🧠 Signal Interpretation
	•	DSS > 80: Overbought zone — possible downward reversal.
	•	DSS < 20: Oversold zone — possible upward rebound.
	•	DSS rising after crossing above 20: Bullish signal.
	•	DSS falling after crossing below 80: Bearish signal.
	•	Color change (blue ↔ red) may indicate a momentum shift.
⸻
⚙️ Input Parameters
Parameter	Description	Default Value
EMA Period	EMA smoothing period	8
Stochastic Period	Period for stochastic calculation	13
⸻
💡 Advantages
	•	Smoother and more reliable than a standard stochastic.
	•	Reduces market noise and false signals.
	•	Accurately reflects real momentum shifts.
	•	Color-coded visualization for clearer signal reading.
⸻
Trend Break + MSB + Fibo Zone [v1.0] dnmSure! Here’s the English translation of your text:
---
Swings are determined based on the HH/LL structure.
If the candle close breaks the swing level, the MSB (Market Structure Break) is confirmed.
After the MSB, the last swing high/low is used to calculate the Fibonacci 0.5 and 0.618 levels.
On the chart, the 0.5–0.618 range is displayed as a colored box.
A green box appears for a bullish break, and a red box appears for a bearish break.
Sus Stocks External Pump DetectorLets just say you pull up the GME daily chart and put this on.
And compare the price movements of the GME against the big pumps from this indicator ...
For right now uses HKD (AMTD digital).
Session Statistics This Pine Script indicator, "Session Statistics," is a comprehensive volatility analysis tool designed for intraday and daily trading on TradingView. Here's what it does:
It continuously tracks each session's opening price, highest point, and lowest point throughout the trading day
Historical Data Storage: As each trading session completes, the script saves that session's high and low values into arrays. It maintains a rolling database of completed sessions, allowing it to analyze the last N sessions (user-defined, default 20)
Statistics Table
A comprehensive table displays in the top-right corner showing:
Sessions analyzed (e.g., "200 of 269")
Standard deviation (absolute points and percentage)
Variance (absolute and percentage)
Average range (absolute and percentage)
Current session's range in progress (highlighted in yellow)
Practical Trading Applications
Expected Move Calculations: The standard deviation levels help traders set realistic profit targets and stop losses based on how far price typically moves in a session.
Volatility Context: By comparing today's current range to the average range, traders can identify whether the market is experiencing normal, low, or high volatility.
Mean Reversion Trading: When price reaches ±2σ or ±3σ levels, it indicates an unusually large move that may reverse back toward the mean.
Breakout Identification: If price breaks through the standard deviation bands, it signals potentially significant directional moves beyond normal range expectations.
Smart Money vs Retail (COT Flow) 0213Smart Money vs Retail (COT Flow) 0213
Smart Money vs Retail (COT Flow) 0213
Smart Money vs Retail (COT Flow) 0213
MA Cloud + Linha Média🧠 Description of “MA Cloud + Average Line” Indicator
This Pine Script indicator combines multiple moving averages (MAs) into a dynamic visualization that helps traders identify market trends, momentum shifts, and trend strength. It creates a colored cloud between the fastest and slowest moving averages, and also plots an average line representing the mean of all active MAs.
⚙️ 1. Core Features
Multiple Moving Averages (MAs)
Supports up to four customizable moving averages (MA1, MA2, MA3, MA4).
Each MA can use different types:
SMA (Simple Moving Average)
EMA (Exponential Moving Average)
WMA (Weighted Moving Average)
VWMA (Volume-Weighted Moving Average)
RMA (Smoothed Moving Average)
Hull MA (Hull Moving Average)
LSMA (Least Squares Moving Average)
The trader can define each MA’s period, color, and choose whether it’s active or not.
Trend Color Coding
Each MA changes color based on its slope:
Green (or chosen “Up Color”) when rising
Red (or chosen “Down Color”) when falling
This gives instant visual feedback on short-term direction.
MA Cloud (Trend Zone)
When the “Cloud” is active, the area between the minimum and maximum of all active MAs is shaded.
The cloud changes color based on alignment:
🟩 Green Cloud – all MAs are aligned upward (strong bullish trend).
🟥 Red Cloud – all MAs are aligned downward (strong bearish trend).
⚪ Gray Cloud – mixed alignment (no clear trend / consolidation).
Average Line (Mean of All MAs)
Calculates the average of all active MAs and plots it as a central “mean” line.
Serves as a dynamic trend guide — when price is above it, the market tends to be bullish; below it, bearish.
The color of the line follows the current cloud color for consistency.
📈 2. How It Helps Identify Trends
This indicator provides multiple layers of trend confirmation:
Visual Element	Interpretation	Trend Insight
MA Slope Color	Green (Up) / Red (Down)	Short-term momentum direction
MA Cloud Color	Green / Red / Gray	Overall trend alignment across timeframes
Average Line	Mean of all MAs	Acts as a “trend equilibrium” line
Price vs. Average Line	Above = Bullish / Below = Bearish	Confirms trend bias
🔍 3. Example Use Cases
Trend Following
Enter long trades when all MAs are aligned (Cloud = Green) and price is above the average line.
Enter short trades when the Cloud is Red and price is below the average line.
Trend Strength Confirmation
The wider the distance between MAs (thicker cloud), the stronger the ongoing trend.
A narrowing cloud or color shift (green → gray → red) can warn of trend reversal or consolidation.
Dynamic Support and Resistance
The MA Cloud acts as a support zone in uptrends and resistance zone in downtrends.
Traders can use the edges of the cloud to identify possible pullback entry zones.
Multi-Timeframe Analysis
By using fast MAs (e.g., 20/50) and slow MAs (100/200), traders can visualize short-term vs. long-term trend interaction, similar to “Golden Cross” and “Death Cross” setups.
🧩 4. How to Use It Practically
Step 1: Enable only the MAs you need (e.g., 20, 50, 200).
Step 2: Observe the cloud color:
🟩 Green → Favor long trades
🟥 Red → Favor short trades
⚪ Gray → Wait for confirmation
Step 3: Use the average line as a filter:
Trade only in the direction of the average line’s slope.
Step 4: Combine with volume, RSI, or price action to refine entries.
💬 Summary
Indicator Name: MA Cloud + Average Line
Purpose: Visual trend detection and confirmation
Best For: Swing and trend-following traders
Signals Provided:
Trend alignment (via color-coded cloud)
Momentum shifts (via MA color changes)
Dynamic support/resistance (via cloud zones)
Overall trend bias (via average line)
OU Mean-Reversion Bands This indicator applies the Ornstein-Uhlenbeck (OU) mean-reversion model to price or spread data and automatically visualizes the dynamic equilibrium (μ) and its deviation bands.
It estimates the OU parameters (φ, μ, σₛₜₐₜ) directly from price history, generating adaptive statistical bands that represent overbought and oversold zones.






















