RSI adaptive zones [AdaptiveRSI]This script introduces a unified mathematical framework that auto-scales oversold/overbought and support/resistance zones for any period length. It also adds true RSI candles for spotting intrabar signals.
Built on the Logit RSI foundation, this indicator converts RSI into a statistically normalized space, allowing all RSI lengths to share the same mathematical footing.
What was once based on experience and observation is now grounded in math.
✦ ✦ ✦ ✦ ✦
💡 Example Use Cases
RSI(14): Classic overbought/oversold signals + divergence
Support in an uptrend using RSI(14)
Range breakouts using RSI(21)
Short-term pullbacks using RSI(5)
✦ ✦ ✦ ✦ ✦
THE PAST: RSI Interpretation Required Multiple Rulebooks
Over decades, RSI practitioners discovered that RSI behaves differently depending on trend and lookback length:
• In uptrends, RSI tends to hold higher support zones (40–50)
• In downtrends, RSI tends to resist below 50–60
• Short RSIs (e.g., RSI(2)) require far more extreme threshold values
• Longer RSIs cluster near the center and rarely reach 70/30
These observations were correct — but lacked a unifying mathematical explanation.
✦ ✦ ✦ ✦ ✦
THE PRESENT: One Framework Handles RSI(2) to RSI(200)
Instead of using fixed thresholds (70/30, 90/10, etc.), this indicator maps RSI into a normalized statistical space using:
• The Logit transformation to remove 0–100 scale distortion
• A universal scaling based on 2/√(n−1) scaling factor to equalize distribution shapes
As a result, RSI values become directly comparable across all lookback periods.
✦ ✦ ✦ ✦ ✦
💡 How the Adaptive Zones Are Calculated
The adaptive framework defines RSI zones as statistical regimes derived from the Logit-transformed RSI .
Each boundary corresponds to a standard deviation (σ) threshold, scaled by 2/√(n−1), making RSI distributions comparable across periods.
This structure was inspired by Nassim Nicholas Taleb’s body–shoulders–tails regime model:
Body (±0.66σ) — consolidation / equilibrium
Shoulders (±1σ to ±2.14σ) — trending region
Tails (outside of ±2.14σ) — rare, high-volatility behavior
Transitions between these regimes are defined by the derivatives of the position (CDF) function :
• ±1σ → shift from consolidation to trend
• ±√3σ → shift from trend to exhaustion
Adaptive Zone Summary
Consolidation: −0.66σ to +0.66σ
Support/Resistance: ±0.66σ to ±1σ
Uptrend/Downtrend: ±1σ to ±√3σ
Overbought/Oversold: ±√3σ to ±2.14σ
Tails: outside of ±2.14σ
✦ ✦ ✦ ✦ ✦
📌 Inverse Transformation: From σ-Space Back to RSI
A final step is required to return these statistically normalized boundaries back into the familiar 0–100 RSI scale. Because the Logit transform maps RSI into an unbounded real-number domain, the inverse operation uses the hyperbolic tangent function to compress σ-space back into the bounded RSI range.
RSI(n) = 50 + 50 · tanh(z / √(n − 1))
The result is a smooth, mathematically consistent conversion where the same statistical thresholds maintain identical meaning across all RSI lengths, while still expressing themselves as intuitive RSI values traders already understand.
✦ ✦ ✦ ✦ ✦
Key Features
Mathematically derived adaptive zones for any RSI period
Support/resistance zone identification for trend-aligned reversals
Optional OHLC RSI bars/candles for intrabar zone interactions
Fully customizable zone visibility and colors
Statistically consistent interpretation across all markets and timeframes
Inputs
RSI Length — core parameter controlling zone scaling
RSI Display : Line / Bar / Candle visualization modes
✦ ✦ ✦ ✦ ✦
💡 How to Use
This indicator is a framework , not a binary signal generator.
Start by defining the question you want answered, e.g.:
• Where is the breakout?
• Is price overextended or still trending?
• Is the correction ending, or is trend reversing?
Then:
Choose the RSI length that matches your timeframe
Observe which adaptive zone price is interacting with
Interpret market behavior accordingly
Example: Long-Term Trend Assesment using RSI(200)
A trader may ask: "Is this a long term top?"
Unlikely, because RSI(200) holds above Resistance zone , therefore the trend remains strong.
✦ ✦ ✦ ✦ ✦
👉 Practical tip:
If you used to overlay weekly RSI(14) on a daily chart (getting a line that waits 5 sessions to recalculate), you can now read the same long-horizon state continuously : set RSI(70) on the daily chart (~14 weeks × 5 days/week = 70 days) and let the adaptive zones update every bar .
Note: It won’t be numerically identical to the weekly RSI due to lookback period used, but it tracks the same regime on a standardized scale with bar-by-bar updates.
✦ ✦ ✦ ✦ ✦
Note: This framework describes statistical structure, not prediction. Use as part of a complete trading approach. Past behavior does not guarantee future outcomes.
framework ≠ guaranteed signal
---
Attribution & License
This indicator incorporates:
• Logit transformation of RSI
• Variance scaling using 2/√(n−1)
• Zone placement derived from Taleb’s body–shoulders–tails regime model and CDF derivatives
• Inverse TANH(z) transform for mapping z-scores back into bounded RSI space
Released under CC BY-NC-SA 4.0 — free for non-commercial use with credit.
© AdaptiveRSI
חפש סקריפטים עבור "黄金近50年的走势"
GRA v5 SNIPER# GRA v5 SNIPER - Documentation & Cheatsheet
## 🎯 Get Rich Aggressively v5 - SNIPER Edition
**Precision Futures Scalping | NQ • ES • YM • GC • BTC**
> **Philosophy:** *Quality over quantity. One sniper shot beats ten spray-and-pray attempts.*
---
## ⚡ QUICK CHEATSHEET
```
┌─────────────────────────────────────────────────────────────────────────────┐
│ GRA v5 SNIPER - QUICK REFERENCE │
├─────────────────────────────────────────────────────────────────────────────┤
│ │
│ 🎯 SIGNAL REQUIREMENTS (ALL MUST BE TRUE): │
│ ═══════════════════════════════════════════ │
│ ✓ Tier → B minimum (20+ pts NQ) │
│ ✓ Volume → 1.5x+ average │
│ ✓ Delta → 60%+ dominance (buyers OR sellers) │
│ ✓ Body → 70%+ of candle range │
│ ✓ Range → 1.3x+ average candle size │
│ ✓ Wicks → Small opposite wick (<50% of body) │
│ ✓ CVD → Trending with signal direction │
│ ✓ Session → London (3-5am ET) OR NY (9:30-11:30am ET) │
│ │
├─────────────────────────────────────────────────────────────────────────────┤
│ │
│ 📊 TIER ACTIONS: │
│ ════════════════ │
│ S-TIER (100+ pts) → 🥇 HOLD position, ride the wave │
│ A-TIER (50-99 pts) → 🥈 SWING for 2-3 minutes │
│ B-TIER (20-49 pts) → 🥉 SCALP quick, 30-60 seconds │
│ │
├─────────────────────────────────────────────────────────────────────────────┤
│ │
│ 🚨 ENTRY CHECKLIST: │
│ ═══════════════════ │
│ □ Signal appears (S🎯, A🎯, or B🎯) │
│ □ Table shows: Vol GREEN, Delta colored, Body GREEN │
│ □ CVD arrow matches direction (▲ for long, ▼ for short) │
│ □ Session active (LDN! or NY! in yellow) │
│ □ Enter at close of signal candle │
│ │
├─────────────────────────────────────────────────────────────────────────────┤
│ │
│ ⛔ DO NOT TRADE WHEN: │
│ ════════════════════ │
│ ✗ Session shows "---" (outside key hours) │
│ ✗ Vol shows RED (below 1.5x) │
│ ✗ Body shows RED (weak candle structure) │
│ ✗ Delta below 60% (no clear dominance) │
│ ✗ Multiple conflicting signals │
│ │
├─────────────────────────────────────────────────────────────────────────────┤
│ │
│ 📈 INSTRUMENT SETTINGS: │
│ ════════════════════════ │
│ NQ/ES (1-3 min): S=100, A=50, B=20 pts │
│ YM (1-5 min): S=100, A=50, B=25 pts │
│ GC (5-15 min): S=15, A=8, B=4 pts │
│ BTC (1-15 min): S=500, A=250, B=100 pts │
│ │
└─────────────────────────────────────────────────────────────────────────────┘
```
---
## 📋 DETAILED DOCUMENTATION
### What Makes SNIPER Different?
The SNIPER edition eliminates 80%+ of signals compared to standard GRA. Every signal that passes through has been validated by **8 independent filters**:
| Filter | Standard GRA | SNIPER GRA | Why It Matters |
|--------|-------------|------------|----------------|
| Volume | 1.3x avg | **1.5x avg** | Institutional participation |
| Delta | 55% | **60%** | Clear buyer/seller control |
| Body Ratio | None | **70%+** | No dojis or spinners |
| Range | None | **1.3x avg** | Significant price movement |
| Wicks | None | **<50% body** | Conviction in direction |
| CVD | None | **Required** | Trend confirmation |
| B-Tier Min | 10 pts | **20 pts** | Filter noise |
| Session | Optional | **Required** | Institutional hours |
---
### Signal Anatomy
When you see a signal like `A🎯`, here's what passed validation:
```
Signal: A🎯 LONG at 21,450.00
Validation Breakdown:
├── Points: 67.5 pts ✓ (A-Tier = 50-99)
├── Volume: 2.1x avg ✓ (≥1.5x required)
├── Delta: 68% Buyers ✓ (≥60% required)
├── Body: 78% of range ✓ (≥70% required)
├── Range: 1.6x avg ✓ (≥1.3x required)
├── Wick: Upper 15% ✓ (<50% of body)
├── CVD: ▲ Rising ✓ (Matches LONG)
└── Session: NY! ✓ (Active session)
RESULT: VALID SNIPER SIGNAL
```
---
### Table Legend
| Field | Reading | Color Meaning |
|-------|---------|---------------|
| **Pts** | Point movement | Gold/Green/Yellow = Tiered |
| **Tier** | S/A/B/X | Gold/Green/Yellow/White |
| **Vol** | Volume ratio | 🟢 ≥1.5x, 🔴 <1.5x |
| **Delta** | Buy/Sell % | 🟢 Buy dom, 🔴 Sell dom, ⚪ Neutral |
| **Body** | Body % of range | 🟢 ≥70%, 🔴 <70% |
| **CVD** | Cumulative delta | ▲ Bullish trend, ▼ Bearish trend |
| **Sess** | Session status | 🟡 Active, ⚫ Inactive |
---
### Trading Rules
#### Entry Rules
1. **Wait for signal** - Don't anticipate
2. **Verify table** - All conditions GREEN
3. **Enter at candle close** - Not during formation
4. **Position size by tier:**
- S-Tier: Full size
- A-Tier: 75% size
- B-Tier: 50% size
#### Exit Rules
| Tier | Target | Max Hold Time |
|------|--------|---------------|
| S | Let it run | 5-10 minutes |
| A | 1:1.5 R:R | 2-3 minutes |
| B | 1:1 R:R | 30-60 seconds |
#### Stop Loss
- Place at **opposite end of signal candle**
- For S-Tier: Allow 50% retracement
- For B-Tier: Tight stop, quick exit
---
### Session Priority
```
LONDON OPEN (3:00-5:00 AM ET)
════════════════════════════
• Best for: GC, European indices
• Characteristics: Stop hunts, reversals
• Look for: Sweeps of Asian session levels
NY OPEN (9:30-11:30 AM ET)
════════════════════════════
• Best for: NQ, ES, YM
• Characteristics: High volume, trends
• Look for: Continuation after 10 AM
```
---
### Common Mistakes to Avoid
| Mistake | Why It's Bad | Solution |
|---------|-------------|----------|
| Trading outside sessions | Low volume = fake moves | Wait for LDN! or NY! |
| Ignoring weak body | Dojis reverse | Body must be 70%+ |
| Fighting CVD | Swimming upstream | CVD must confirm |
| Oversizing B-Tier | Small moves = small size | 50% max on B |
| Chasing missed signals | FOMO loses money | Wait for next setup |
---
### Alert Setup
Configure these alerts in TradingView:
| Alert | Priority | Action |
|-------|----------|--------|
| 🎯 S-TIER LONG/SHORT | 🔴 High | Drop everything, check chart |
| 🎯 A-TIER LONG/SHORT | 🟠 Medium | Evaluate within 30 seconds |
| 🎯 B-TIER LONG/SHORT | 🟢 Low | Quick glance if available |
| LONDON/NY OPEN | 🔵 Info | Prepare for action |
---
### Pine Script v6 Notes
This indicator uses Pine Script v6 features:
- `request.security_lower_tf()` for intrabar delta
- Type inference for cleaner code
- Array operations for CVD calculation
**Minimum TradingView Plan:** Pro (for intrabar data)
---
## 🏆 Golden Rule
> **"If you have to convince yourself it's a good signal, it's not a good signal."**
The SNIPER edition is designed so that when a signal appears, there's nothing to think about. If all conditions are met, you trade. If any condition fails, you wait.
**Leave every trade with money. That's the goal.**
---
*© Alexandro Disla - Get Rich Aggressively v5 SNIPER*
*Pine Script v6 | TradingView*
BTC Dashboard D / 4H / 1H (simple)//@version=5
indicator("BTC Dashboard D / 4H / 1H (simple)", overlay = true)
// ---------- Réglages ----------
rsiLen = 14
emaLen50 = 50
emaLen200 = 200
// Petite fonction pour formater les nombres
f_fmt(float v) =>
str.tostring(v, format.mintick)
// ---------- TIMEFRAMES ----------
tfD = "D"
tf4H = "240"
tf1H = "60"
// ---------- DAILY ----------
closeD = request.security(syminfo.tickerid, tfD, close)
ema50D = request.security(syminfo.tickerid, tfD, ta.ema(close, emaLen50))
ema200D = request.security(syminfo.tickerid, tfD, ta.ema(close, emaLen200))
rsiD = request.security(syminfo.tickerid, tfD, ta.rsi(close, rsiLen))
// ---------- 4H ----------
close4H = request.security(syminfo.tickerid, tf4H, close)
ema504H = request.security(syminfo.tickerid, tf4H, ta.ema(close, emaLen50))
ema2004H = request.security(syminfo.tickerid, tf4H, ta.ema(close, emaLen200))
rsi4H = request.security(syminfo.tickerid, tf4H, ta.rsi(close, rsiLen))
// ---------- 1H ----------
close1H = request.security(syminfo.tickerid, tf1H, close)
ema501H = request.security(syminfo.tickerid, tf1H, ta.ema(close, emaLen50))
ema2001H = request.security(syminfo.tickerid, tf1H, ta.ema(close, emaLen200))
rsi1H = request.security(syminfo.tickerid, tf1H, ta.rsi(close, rsiLen))
// ---------- TABLE ----------
var table t = table.new(position.top_right, 4, 4, border_width = 1)
if barstate.islast
// Ligne d’en-tête
table.cell(t, 0, 0, "TF", text_color = color.white, bgcolor = color.new(color.black, 0))
table.cell(t, 0, 1, "Close", text_color = color.white, bgcolor = color.new(color.black, 0))
table.cell(t, 0, 2, "EMA50 / EMA200", text_color = color.white, bgcolor = color.new(color.black, 0))
table.cell(t, 0, 3, "RSI", text_color = color.white, bgcolor = color.new(color.black, 0))
// ----- DAILY -----
rowD = 1
table.cell(t, rowD, 0, "D", text_color = color.yellow, bgcolor = color.new(color.blue, 70))
table.cell(t, rowD, 1, f_fmt(closeD))
table.cell(t, rowD, 2, "50: " + f_fmt(ema50D) + "\n200: " + f_fmt(ema200D))
table.cell(t, rowD, 3, f_fmt(rsiD))
// ----- 4H -----
row4 = 2
table.cell(t, row4, 0, "4H", text_color = color.white, bgcolor = color.new(color.teal, 70))
table.cell(t, row4, 1, f_fmt(close4H))
table.cell(t, row4, 2, "50: " + f_fmt(ema504H) + "\n200: " + f_fmt(ema2004H))
table.cell(t, row4, 3, f_fmt(rsi4H))
// ----- 1H -----
row1 = 3
table.cell(t, row1, 0, "1H", text_color = color.white, bgcolor = color.new(color.green, 70))
table.cell(t, row1, 1, f_fmt(close1H))
table.cell(t, row1, 2, "50: " + f_fmt(ema501H) + "\n200: " + f_fmt(ema2001H))
table.cell(t, row1, 3, f_fmt(rsi1H))
The 'Qualified' POI Scorer [PhenLabs]📊 The “Qualified” POI Scorer (Q-POI)
Version: PineScript™ v6
📌 Description
The “Qualified” POI Scorer helps intermediate traders overcome "analysis paralysis" by filtering Smart Money Concepts (SMC) structures based on their probability. Instead of flooding your chart with every possible Order Block, this script assigns a proprietary “Quality Score” (0-100) to each zone. It analyzes the strength of the displacement, the presence of imbalances (FVG), and liquidity mechanics to determine which zones are worth your attention. It is designed to clean up your charts and enforce discipline by visually fading out low-quality setups.
🚀 Points of Innovation
Dynamic “Glass UI” Transparency that automatically fades weak zones based on their score.
Proprietary Scoring Algorithm (0-100) based on three distinct institutional factors.
Visual Icon System that prints analytical context (💧— 🚀/🐌—🧱) directly on the chart.
Automated Mitigation Tracking that changes the visual state of zones after they are tested.
Displacement Velocity calculation using ATR to verify institutional intent.
🔧 Core Components
Liquidity Sweep Engine: Detects if a pivot point grabbed liquidity from the previous X bars before reversing.
FVG Validator: Checks if the move away from the zone created a valid Fair Value Gap.
Momentum Scorer: Calculates the size of the displacement candle relative to the Average True Range (ATR).
🔥 Key Features
Quality Filtering: Automatically hides or dims zones that score below 50 (user configurable).
State Management: Zones turn grey when mitigated and delete themselves when invalidated.
Visual Scorecard: Displays the exact numeric score on the zone for quick decision-making.
Time-Decay Logic: Keeps the chart clean by managing the lifespan of old zones.
🎨 Visualization
High Score Zones (80-100): Display as bright, semi-solid boxes indicating high probability.
Medium Score Zones (50-79): Display as translucent “glass” boxes.
Low Score Zones (<50): Display as faint “ghost” boxes or are completely hidden.
Rocket Icon (🚀): Indicates high momentum displacement.
Snail Icon (🐌): Indicates low momentum displacement.
Drop Icon (💧): Indicates the zone swept liquidity.
Brick Icon (🧱): Indicates the zone is supported by an FVG.
📖 Usage Guidelines
Swing Structure Length (Default: 5): Controls the sensitivity of the pivot detection; lower numbers create more zones, higher numbers find major swing points.
ATR Length (Default: 14): Determines the lookback period for calculating relative momentum.
Minimum Quality Score (Default: 50): The threshold for which zones are considered “valid” enough to be fully visible.
Bullish/Bearish Colors: Fully customizable colors that adapt their own transparency based on the score.
Show Weak Zones (Default: False): Toggles the visibility of zones that failed the quality check.
✅ Best Use Cases
Filtering noise during high-volatility sessions by focusing only on Score 80+ zones.
Confirming trend continuation entries by looking for the Rocket (🚀) momentum icon.
Avoiding “stale” zones by ignoring any box that has turned grey (Mitigated).
⚠️ Limitations
The indicator is reactive to closed candles and cannot predict news-driven spikes.
Scoring is based on technical structure and does not account for fundamental drivers.
In extremely choppy markets, the ATR filter may produce lower scores due to lack of displacement.
💡 What Makes This Unique
It transforms subjective SMC analysis into an objective, quantifiable score.
The visual hierarchy allows traders to assess chart quality in milliseconds without reading data.
It integrates three separate SMC concepts (Liquidity, Imbalance, Structure) into a single tool.
🔬 How It Works
Step 1: The script identifies a Swing High or Low based on your length input.
Step 2: It looks backward to see if that swing swept liquidity, and looks forward to check for an FVG and displacement.
Step 3: It calculates a weighted score (30pts for Sweep, 30pts for FVG, 40pts for Momentum).
Step 4: It draws the zone with a transparency level designated by the score and appends the relevant icons.
💡 Note:
For the best results, use this indicator on the timeframe you execute trades on (e.g., 15m or 1h). Do not use it to find entries on the 1m chart if your analysis is based on the 4h chart.
Market Position TableMarket Position Table Indicator
Overview
The Market Position Table is a comprehensive multi-timeframe indicator that provides traders with an instant visual snapshot of market position relative to key technical indicators. This tool displays a clean, color-coded table directly on your chart, showing whether price is above or below critical moving averages, the Ichimoku Cloud, and whether the market is in a TTM Squeeze compression.
Key Features
Visual Status Dashboard
Real-time color coding: Green for bullish positioning (above), Red for bearish positioning (below/compressed)
Clean table display: Organized, easy-to-read format that doesn't clutter your chart
Customizable positioning: Place the table anywhere on your chart for optimal viewing
Technical Indicators Monitored
Four Moving Averages (20, 50, 100, 200 period)
Shows whether price is above or below each MA
Helps identify trend direction and strength
Ichimoku Cloud
Displays whether price is above, below, or inside the cloud
Gray color indicates price is within the cloud (neutral zone)
TTM Squeeze Indicator
Shows when the market is in compression (Squeeze ON = Red)
Alerts when the market is expanding (Squeeze OFF = Green)
Helps identify potential breakout opportunities
Flexible Customization
Moving Average Options:
Choose from 5 MA types: SMA, EMA, WMA, VWMA, HMA
Adjust all four MA periods to your preference
Default settings: 20, 50, 100, 200 periods
Timeframe Control:
Lock to Daily: View daily timeframe signals on any chart timeframe
Custom Timeframe: Select any specific timeframe for calculations
Chart Timeframe: Default behavior matches your current chart
Ichimoku Settings:
Customize Tenkan, Kijun, and Senkou B periods
Default: 9, 26, 52 (traditional settings)
Squeeze Settings:
Adjust Bollinger Band length and multiplier
Customize Keltner Channel length and multiplier
Fine-tune sensitivity to match your trading style
Visual Customization:
Table position: 9 placement options on your chart
Table size: Tiny, Small, Normal, or Large
Optional: Toggle MA plot lines on/off
Table Settings: Position and size
Moving Average Settings: Type and periods
Ichimoku Settings: Period adjustments
Squeeze Settings: BB and KC parameters
Timeframe Settings: Lock to daily or use custom timeframe
Interpretation
Moving Averages:
Green (ABOVE): Price is above the MA - bullish signal
Red (BELOW): Price is below the MA - bearish signal
Multiple green MAs indicate strong uptrend
Multiple red MAs indicate strong downtrend
Ichimoku Cloud:
Green (ABOVE): Price above cloud - bullish trend
Red (BELOW): Price below cloud - bearish trend
Gray (INSIDE): Price in cloud - consolidation/neutral
Squeeze Indicator:
Red (ON): Market is in compression - potential breakout setup
Green (OFF): Market is expanding - trend continuation or reversal in progress
Trading Applications
Trend Confirmation:
Use multiple green MAs + price above Ichimoku cloud to confirm strong uptrends
Use multiple red MAs + price below Ichimoku cloud to confirm strong downtrends
Breakout Trading:
Watch for Squeeze ON (red) as compression builds
When Squeeze turns OFF (green), look for directional breakout
Confirm direction with MA alignment
Multi-Timeframe Analysis:
Lock to daily timeframe while trading intraday charts
Ensure intraday trades align with daily trend direction
Example: Only take long setups on 15-min chart when daily shows green MAs
Support/Resistance:
Major MAs (50, 100, 200) often act as dynamic support/resistance
Watch for price reactions when testing these levels
Best Practices
Combine with Price Action: Use the table as confirmation alongside your chart analysis
Multi-Timeframe Confluence: Check that multiple timeframes align for higher probability setups
Don't Trade on Table Alone: Use this as one tool in your complete trading system
Customize to Your Strategy: Adjust MA types and periods to match your trading style
Monitor All Indicators: Look for alignment across all indicators for strongest signals
Tips for Optimal Use
Day Traders: Enable "Lock to Daily" to stay aligned with the daily trend while trading shorter timeframes
Swing Traders: Use default chart timeframe on daily or weekly charts
Trend Followers: Focus on MA alignment - all green or all red indicates strong trends
Breakout Traders: Watch the Squeeze indicator closely for compression/expansion cycles
Position Traders: Use longer MA periods (e.g., 50, 100, 150, 200) for smoother signals
Filter Cross1. Indicator Name
Filter Cross Indicator
2. One-line Introduction
A multi-filtered crossover strategy that enhances classic moving average signals with trend, volatility, volume, and momentum confirmation.
3. General Overview
The Filter Cross indicator builds upon the traditional golden/dead cross concept by incorporating additional market filters to evaluate the quality of each signal. It uses two key moving averages (50-period and 200-period SMA) to identify crossovers, while adding four advanced metrics:
Linear regression trend ordering,
ATR-based volatility positioning,
Volume pressure,
Price positioning relative to fast MA.
These components are individually scored and averaged to calculate a Confidence %, which is displayed on the chart alongside each crossover signal. Visual cues such as dynamic color changes reflect the current trend direction and strength, making it intuitive for both novice and experienced traders.
The indicator is especially effective in swing trading and trend-following strategies, where false signals can be filtered out through the additional logic.
Security measures are applied to ensure that the core logic remains protected, making it safe for proprietary use.
4. Key Advantages
✅ Multi-factor Signal Validation
Evaluates each signal using four key market filters to improve reliability over classic crossovers.
📉 Confidence Score Display
Each signal is accompanied by a Confidence % label to help traders assess entry/exit quality.
🎨 Dynamic Color Feedback
Automatically adjusts chart color based on trend intensity and direction, aiding visual clarity.
🔍 Linear Regression Trend Logic
Uses pairwise comparison of regression data to quantify trend alignment across lookback periods.
📈 Reduced False Signals
Minimizes noise and weak signals during sideways markets using adaptive thresholds.
📘 Indicator User Guide
📌 Basic Concept
Filter Cross enhances moving average crossover signals using four additional market-based filters.
These include trend alignment, volatility range, volume strength, and price momentum.
Final signals are graded with a Confidence % score, showing how favorable the conditions are for action.
⚙️ Settings Explained
Fast MA Length: Short-term moving average period (default: 50)
Slow MA Length: Long-term moving average period (default: 200)
Linear Regression Length: Period used to assess price trend alignment
Trend Lookback / Threshold: Sensitivity controls for trend scoring
Volume Lookback / ATR Length: Defines volatility and volume filters
Bull/Bear Color: Customize visual colors for bullish and bearish signals
📈 Buy Timing Example
Golden Cross occurs (50 MA crosses above 200 MA)
Confidence % is above 70%
Trend color turns green, volume is rising, price above fast MA → Strong entry signal
📉 Sell Timing Example
Dead Cross occurs (50 MA crosses below 200 MA)
Confidence % above 60% indicates a reliable bearish setup
Regression trend down, color turns red → Valid exit or short opportunity
🧪 Recommended Use Cases
Combine with RSI or MACD for timing confirmation in swing trades
Use Confidence % to filter out weak crossover signals during sideways trends
Effective in medium-to-long term trading with volatile assets
🔒 Precautions
Confidence % reflects current conditions—not future prediction—use with discretion
May produce delayed signals in ranging markets; test before real application
Best results achieved when combined with other indicators or price action context
Always optimize parameters based on the specific market or asset being traded
+++
ICT Macro Slot Algo Event📊 Overview
A powerful multi-timeframe trading indicator that combines Institutional Macro Session Tracking identify optimal trading windows throughout the day. This tool helps traders align with institutional flow patterns and algorithmic activity across major sessions.
🎯 Key Features
1. Macro Algo Event Sessions
Tracks 6 key institutional time windows during NY Session:
NY Sweep (08:50-09:10) - Opening balance flows
Silver Bullet #1 (09:50-10:10) - First major macro move
Silver Bullet #2 (10:50-11:10) - Second chance/retest opportunity
Lunch Macro (11:50-12:10) - Mid-day repositioning
Post-Lunch Rebalance (13:10-13:40) - Post-lunch adjustments
NY Closing Macros (15:15-15:45) - End-of-day flows
ICT Macro Slot Algo Event📊 Overview
A powerful multi-timeframe trading indicator that combines Institutional Macro Session Tracking to identify optimal trading windows throughout the day. This tool helps traders align with institutional flow patterns and algorithmic activity across major sessions.
🎯 Key Features
1. Macro Algo Event Sessions
Tracks 6 key institutional time windows during NY Session:
NY Sweep (08:50-09:10) - Opening balance flows
Silver Bullet #1 (09:50-10:10) - First major macro move
Silver Bullet #2 (10:50-11:10) - Second chance/retest opportunity
Lunch Macro (11:50-12:10) - Mid-day repositioning
Post-Lunch Rebalance (13:10-13:40) - Post-lunch adjustments
NY Closing Macros (15:15-15:45) - End-of-day flows
TenUp Bots S R - Fixed (ta.highest)//@version=5
indicator("TenUp Bots S R - Fixed (ta.highest)", overlay = true)
// Inputs
a = input.int(10, "Sensitivity (bars)", minval = 1, maxval = 9999)
d_pct = input.int(85, "Transparency (%)", minval = 0, maxval = 100)
// Convert 0-100% to 0-255 transparency (color.new uses 0..255)
transp = math.round(d_pct * 255 / 100)
// Colors with transparency applied
resColor = color.new(color.red, transp)
supColor = color.new(color.blue, transp)
// Helper (calculations only)
getRes(len) => ta.highest(high, len)
getSup(len) => ta.lowest(low, len)
// === PLOTS (all in global scope) ===
plot(getRes(a*1), title="Resistance 1", color=resColor, linewidth=2)
plot(getSup(a*1), title="Support 1", color=supColor, linewidth=2)
plot(getRes(a*2), title="Resistance 2", color=resColor, linewidth=2)
plot(getSup(a*2), title="Support 2", color=supColor, linewidth=2)
plot(getRes(a*3), title="Resistance 3", color=resColor, linewidth=2)
plot(getSup(a*3), title="Support 3", color=supColor, linewidth=2)
plot(getRes(a*4), title="Resistance 4", color=resColor, linewidth=2)
plot(getSup(a*4), title="Support 4", color=supColor, linewidth=2)
plot(getRes(a*5), title="Resistance 5", color=resColor, linewidth=2)
plot(getSup(a*5), title="Support 5", color=supColor, linewidth=2)
plot(getRes(a*6), title="Resistance 6", color=resColor, linewidth=2)
plot(getSup(a*6), title="Support 6", color=supColor, linewidth=2)
plot(getRes(a*7), title="Resistance 7", color=resColor, linewidth=2)
plot(getSup(a*7), title="Support 7", color=supColor, linewidth=2)
plot(getRes(a*8), title="Resistance 8", color=resColor, linewidth=2)
plot(getSup(a*8), title="Support 8", color=supColor, linewidth=2)
plot(getRes(a*9), title="Resistance 9", color=resColor, linewidth=2)
plot(getSup(a*9), title="Support 9", color=supColor, linewidth=2)
plot(getRes(a*10), title="Resistance 10", color=resColor, linewidth=2)
plot(getSup(a*10), title="Support 10", color=supColor, linewidth=2)
plot(getRes(a*15), title="Resistance 15", color=resColor, linewidth=2)
plot(getSup(a*15), title="Support 15", color=supColor, linewidth=2)
plot(getRes(a*20), title="Resistance 20", color=resColor, linewidth=2)
plot(getSup(a*20), title="Support 20", color=supColor, linewidth=2)
plot(getRes(a*25), title="Resistance 25", color=resColor, linewidth=2)
plot(getSup(a*25), title="Support 25", color=supColor, linewidth=2)
plot(getRes(a*30), title="Resistance 30", color=resColor, linewidth=2)
plot(getSup(a*30), title="Support 30", color=supColor, linewidth=2)
plot(getRes(a*35), title="Resistance 35", color=resColor, linewidth=2)
plot(getSup(a*35), title="Support 35", color=supColor, linewidth=2)
plot(getRes(a*40), title="Resistance 40", color=resColor, linewidth=2)
plot(getSup(a*40), title="Support 40", color=supColor, linewidth=2)
plot(getRes(a*45), title="Resistance 45", color=resColor, linewidth=2)
plot(getSup(a*45), title="Support 45", color=supColor, linewidth=2)
plot(getRes(a*50), title="Resistance 50", color=resColor, linewidth=2)
plot(getSup(a*50), title="Support 50", color=supColor, linewidth=2)
plot(getRes(a*75), title="Resistance 75", color=resColor, linewidth=2)
plot(getSup(a*75), title="Support 75", color=supColor, linewidth=2)
plot(getRes(a*100), title="Resistance 100", color=resColor, linewidth=2)
plot(getSup(a*100), title="Support 100", color=supColor, linewidth=2)
plot(getRes(a*150), title="Resistance 150", color=resColor, linewidth=2)
plot(getSup(a*150), title="Support 150", color=supColor, linewidth=2)
plot(getRes(a*200), title="Resistance 200", color=resColor, linewidth=2)
plot(getSup(a*200), title="Support 200", color=supColor, linewidth=2)
plot(getRes(a*250), title="Resistance 250", color=resColor, linewidth=2)
plot(getSup(a*250), title="Support 250", color=supColor, linewidth=2)
plot(getRes(a*300), title="Resistance 300", color=resColor, linewidth=2)
plot(getSup(a*300), title="Support 300", color=supColor, linewidth=2)
plot(getRes(a*350), title="Resistance 350", color=resColor, linewidth=2)
plot(getSup(a*350), title="Support 350", color=supColor, linewidth=2)
plot(getRes(a*400), title="Resistance 400", color=resColor, linewidth=2)
plot(getSup(a*400), title="Support 400", color=supColor, linewidth=2)
plot(getRes(a*450), title="Resistance 450", color=resColor, linewidth=2)
plot(getSup(a*450), title="Support 450", color=supColor, linewidth=2)
plot(getRes(a*500), title="Resistance 500", color=resColor, linewidth=2)
plot(getSup(a*500), title="Support 500", color=supColor, linewidth=2)
plot(getRes(a*750), title="Resistance 750", color=resColor, linewidth=2)
plot(getSup(a*750), title="Support 750", color=supColor, linewidth=2)
plot(getRes(a*1000), title="Resistance 1000", color=resColor, linewidth=2)
plot(getSup(a*1000), title="Support 1000", color=supColor, linewidth=2)
plot(getRes(a*1250), title="Resistance 1250", color=resColor, linewidth=2)
plot(getSup(a*1250), title="Support 1250", color=supColor, linewidth=2)
plot(getRes(a*1500), title="Resistance 1500", color=resColor, linewidth=2)
plot(getSup(a*1500), title="Support 1500", color=supColor, linewidth=2)
TenUp Bots S R - Fixed (ta.highest)//@version=5
indicator("TenUp Bots S R - Fixed (ta.highest)", overlay = true)
// Inputs
a = input.int(10, "Sensitivity (bars)", minval = 1, maxval = 9999)
d_pct = input.int(85, "Transparency (%)", minval = 0, maxval = 100)
// Convert 0-100% to 0-255 transparency (color.new uses 0..255)
transp = math.round(d_pct * 255 / 100)
// Colors with transparency applied
resColor = color.new(color.red, transp)
supColor = color.new(color.blue, transp)
// Helper (calculations only)
getRes(len) => ta.highest(high, len)
getSup(len) => ta.lowest(low, len)
// === PLOTS (all in global scope) ===
plot(getRes(a*1), title="Resistance 1", color=resColor, linewidth=2)
plot(getSup(a*1), title="Support 1", color=supColor, linewidth=2)
plot(getRes(a*2), title="Resistance 2", color=resColor, linewidth=2)
plot(getSup(a*2), title="Support 2", color=supColor, linewidth=2)
plot(getRes(a*3), title="Resistance 3", color=resColor, linewidth=2)
plot(getSup(a*3), title="Support 3", color=supColor, linewidth=2)
plot(getRes(a*4), title="Resistance 4", color=resColor, linewidth=2)
plot(getSup(a*4), title="Support 4", color=supColor, linewidth=2)
plot(getRes(a*5), title="Resistance 5", color=resColor, linewidth=2)
plot(getSup(a*5), title="Support 5", color=supColor, linewidth=2)
plot(getRes(a*6), title="Resistance 6", color=resColor, linewidth=2)
plot(getSup(a*6), title="Support 6", color=supColor, linewidth=2)
plot(getRes(a*7), title="Resistance 7", color=resColor, linewidth=2)
plot(getSup(a*7), title="Support 7", color=supColor, linewidth=2)
plot(getRes(a*8), title="Resistance 8", color=resColor, linewidth=2)
plot(getSup(a*8), title="Support 8", color=supColor, linewidth=2)
plot(getRes(a*9), title="Resistance 9", color=resColor, linewidth=2)
plot(getSup(a*9), title="Support 9", color=supColor, linewidth=2)
plot(getRes(a*10), title="Resistance 10", color=resColor, linewidth=2)
plot(getSup(a*10), title="Support 10", color=supColor, linewidth=2)
plot(getRes(a*15), title="Resistance 15", color=resColor, linewidth=2)
plot(getSup(a*15), title="Support 15", color=supColor, linewidth=2)
plot(getRes(a*20), title="Resistance 20", color=resColor, linewidth=2)
plot(getSup(a*20), title="Support 20", color=supColor, linewidth=2)
plot(getRes(a*25), title="Resistance 25", color=resColor, linewidth=2)
plot(getSup(a*25), title="Support 25", color=supColor, linewidth=2)
plot(getRes(a*30), title="Resistance 30", color=resColor, linewidth=2)
plot(getSup(a*30), title="Support 30", color=supColor, linewidth=2)
plot(getRes(a*35), title="Resistance 35", color=resColor, linewidth=2)
plot(getSup(a*35), title="Support 35", color=supColor, linewidth=2)
plot(getRes(a*40), title="Resistance 40", color=resColor, linewidth=2)
plot(getSup(a*40), title="Support 40", color=supColor, linewidth=2)
plot(getRes(a*45), title="Resistance 45", color=resColor, linewidth=2)
plot(getSup(a*45), title="Support 45", color=supColor, linewidth=2)
plot(getRes(a*50), title="Resistance 50", color=resColor, linewidth=2)
plot(getSup(a*50), title="Support 50", color=supColor, linewidth=2)
plot(getRes(a*75), title="Resistance 75", color=resColor, linewidth=2)
plot(getSup(a*75), title="Support 75", color=supColor, linewidth=2)
plot(getRes(a*100), title="Resistance 100", color=resColor, linewidth=2)
plot(getSup(a*100), title="Support 100", color=supColor, linewidth=2)
plot(getRes(a*150), title="Resistance 150", color=resColor, linewidth=2)
plot(getSup(a*150), title="Support 150", color=supColor, linewidth=2)
plot(getRes(a*200), title="Resistance 200", color=resColor, linewidth=2)
plot(getSup(a*200), title="Support 200", color=supColor, linewidth=2)
plot(getRes(a*250), title="Resistance 250", color=resColor, linewidth=2)
plot(getSup(a*250), title="Support 250", color=supColor, linewidth=2)
plot(getRes(a*300), title="Resistance 300", color=resColor, linewidth=2)
plot(getSup(a*300), title="Support 300", color=supColor, linewidth=2)
plot(getRes(a*350), title="Resistance 350", color=resColor, linewidth=2)
plot(getSup(a*350), title="Support 350", color=supColor, linewidth=2)
plot(getRes(a*400), title="Resistance 400", color=resColor, linewidth=2)
plot(getSup(a*400), title="Support 400", color=supColor, linewidth=2)
plot(getRes(a*450), title="Resistance 450", color=resColor, linewidth=2)
plot(getSup(a*450), title="Support 450", color=supColor, linewidth=2)
plot(getRes(a*500), title="Resistance 500", color=resColor, linewidth=2)
plot(getSup(a*500), title="Support 500", color=supColor, linewidth=2)
plot(getRes(a*750), title="Resistance 750", color=resColor, linewidth=2)
plot(getSup(a*750), title="Support 750", color=supColor, linewidth=2)
plot(getRes(a*1000), title="Resistance 1000", color=resColor, linewidth=2)
plot(getSup(a*1000), title="Support 1000", color=supColor, linewidth=2)
plot(getRes(a*1250), title="Resistance 1250", color=resColor, linewidth=2)
plot(getSup(a*1250), title="Support 1250", color=supColor, linewidth=2)
plot(getRes(a*1500), title="Resistance 1500", color=resColor, linewidth=2)
plot(getSup(a*1500), title="Support 1500", color=supColor, linewidth=2)
Sentiment Heatmap with EMA Sentiment Heatmap with EMA Let’s build a script mini-LuxAlgo-style sentiment heatmap Enhanced Simple Sentiment Heatmap + Right-Side Legend Automatic legend on the right side
Just like professional indicators:
MAX GREED
GREED
NEUTRAL
FEAR
MAX FEAR
✔ Legend stays updated on the last bar
It moves automatically as price moves.
✔ Trend EMA included (optional) 9 EMA → White
20 EMA → Red
50 EMA → Yellow
100 EMA → Blue
200 EMA → Purple Alerts (e.g., “Max Fear – Buy Zone”)
✔ Liquidity line / support-resistance auto zones Full sentiment heatmap (Greed → Fear)
✔ Right-side legend like LuxAlgo
✔ All 5 EMAs added (my colors): EMA trend cloud (9/20, 20/50, 50/200)
Buy/Sell circles based on sentiment reversals Right-side legend: MAX GREED / GREED / NEUTRAL / FEAR / MAX FEAR
5 EMAs:
9 → White
20 → Red
50 → Yellow
100 → Blue
200 → Purple
MTF MACD – 1m / 15m / 1D / 1W//@version=6
indicator("MTF MACD – 1m / 15m / 1D / 1W", overlay=false)
// MACD inputs
fastLen = input.int(12, "Fast length")
slowLen = input.int(26, "Slow length")
signalLen = input.int(9, "Signal length")
// Multi-timeframe MACD using built-in ta.macd()
= request.security(syminfo.tickerid, "1", ta.macd(close, fastLen, slowLen, signalLen))
= request.security(syminfo.tickerid, "15", ta.macd(close, fastLen, slowLen, signalLen))
= request.security(syminfo.tickerid, "D", ta.macd(close, fastLen, slowLen, signalLen))
= request.security(syminfo.tickerid, "W", ta.macd(close, fastLen, slowLen, signalLen))
// Plot MACD lines for each timeframe
plot(macd_1m, title="MACD 1m", color=color.red, linewidth=2)
plot(macd_15m, title="MACD 15m", color=color.blue, linewidth=2)
plot(macd_1d, title="MACD 1D", color=color.green, linewidth=2)
plot(macd_1w, title="MACD 1W", color=color.orange, linewidth=2)
// (Optional) you can uncomment these if you also want signals/histograms:
// plot(signal_1m, title="Signal 1m", color=color.new(color.red, 50), style=plot.style_dotted)
// plot(signal_15m, title="Signal 15m", color=color.new(color.blue, 50), style=plot.style_dotted)
// plot(signal_1d, title="Signal 1D", color=color.new(color.green, 50), style=plot.style_dotted)
// plot(signal_1w, title="Signal 1W", color=color.new(color.orange, 50), style=plot.style_dotted)
// plot(hist_1m, title="Hist 1m", color=color.red, style=plot.style_histogram)
// plot(hist_15m, title="Hist 15m", color=color.blue, style=plot.style_histogram)
// plot(hist_1d, title="Hist 1D", color=color.green, style=plot.style_histogram)
// plot(hist_1w, title="Hist 1W", color=color.orange, style=plot.style_histogram)
ENTRY CONFIRMATION V2// This source code is subject to the terms of the Mozilla Public License 2.0 at mozilla.org
// © Zerocapitalmx
//@version=5
indicator(title="ENTRY CONFIRMATION V2", format=format.price, timeframe="", timeframe_gaps=true)
len = input.int(title="RSI Period", minval=1, defval=50)
src = input(title="RSI Source", defval=close)
lbR = input(title="Pivot Lookback Right", defval=5)
lbL = input(title="Pivot Lookback Left", defval=5)
rangeUpper = input(title="Max of Lookback Range", defval=60)
rangeLower = input(title="Min of Lookback Range", defval=5)
plotBull = input(title="Plot Bullish", defval=true)
plotHiddenBull = input(title="Plot Hidden Bullish", defval=false)
plotBear = input(title="Plot Bearish", defval=true)
plotHiddenBear = input(title="Plot Hidden Bearish", defval=false)
bearColor = color.red
bullColor = color.green
hiddenBullColor = color.new(color.green, 80)
hiddenBearColor = color.new(color.red, 80)
textColor = color.white
noneColor = color.new(color.white, 100)
osc = ta.rsi(src, len)
rsiPeriod = input.int(50, minval = 1, title = "RSI Period")
bandLength = input.int(1, minval = 1, title = "Band Length")
lengthrsipl = input.int(1, minval = 0, title = "Fast MA on RSI")
lengthtradesl = input.int(50, minval = 1, title = "Slow MA on RSI")
r = ta.rsi(src, rsiPeriod) // RSI of Close
ma = ta.sma(r, bandLength ) // Moving Average of RSI
offs = (1.6185 * ta.stdev(r, bandLength)) // Offset
fastMA = ta.sma(r, lengthrsipl) // Moving Average of RSI 2 bars back
slowMA = ta.sma(r, lengthtradesl) // Moving Average of RSI 7 bars back
plot(slowMA, "Slow MA", color=color.black, linewidth=1) // Plot Slow MA
plot(osc, title="RSI", linewidth=2, color=color.purple)
hline(50, title="Middle Line", color=#787B86, linestyle=hline.style_dotted)
obLevel = hline(70, title="Overbought", color=#787B86, linestyle=hline.style_dotted)
osLevel = hline(30, title="Oversold", color=#787B86, linestyle=hline.style_dotted)
plFound = na(ta.pivotlow(osc, lbL, lbR)) ? false : true
phFound = na(ta.pivothigh(osc, lbL, lbR)) ? false : true
_inRange(cond) =>
bars = ta.barssince(cond == true)
rangeLower <= bars and bars <= rangeUpper
//------------------------------------------------------------------------------
// Regular Bullish
// Osc: Higher Low
oscHL = osc > ta.valuewhen(plFound, osc , 1) and _inRange(plFound )
// Price: Lower Low
priceLL = low < ta.valuewhen(plFound, low , 1)
bullCond = plotBull and priceLL and oscHL and plFound
plot(
plFound ? osc : na,
offset=-lbR,
title="Regular Bullish",
linewidth=1,
color=(bullCond ? bullColor : noneColor)
)
plotshape(
bullCond ? osc : na,
offset=-lbR,
title="Regular Bullish Label",
text=" EDM ",
style=shape.labelup,
location=location.absolute,
color=bullColor,
textcolor=textColor
)
//------------------------------------------------------------------------------
// Hidden Bullish
// Osc: Lower Low
oscLL = osc < ta.valuewhen(plFound, osc , 1) and _inRange(plFound )
// Price: Higher Low
priceHL = low > ta.valuewhen(plFound, low , 1)
hiddenBullCond = plotHiddenBull and priceHL and oscLL and plFound
plot(
plFound ? osc : na,
offset=-lbR,
title="Hidden Bullish",
linewidth=1,
color=(hiddenBullCond ? hiddenBullColor : noneColor)
)
plotshape(
hiddenBullCond ? osc : na,
offset=-lbR,
title="Hidden Bullish Label",
text=" EDM ",
style=shape.labelup,
location=location.absolute,
color=bullColor,
textcolor=textColor
)
//------------------------------------------------------------------------------
// Regular Bearish
// Osc: Lower High
oscLH = osc < ta.valuewhen(phFound, osc , 1) and _inRange(phFound )
// Price: Higher High
priceHH = high > ta.valuewhen(phFound, high , 1)
bearCond = plotBear and priceHH and oscLH and phFound
plot(
phFound ? osc : na,
offset=-lbR,
title="Regular Bearish",
linewidth=1,
color=(bearCond ? bearColor : noneColor)
)
plotshape(
bearCond ? osc : na,
offset=-lbR,
title="Regular Bearish Label",
text=" EDM ",
style=shape.labeldown,
location=location.absolute,
color=bearColor,
textcolor=textColor
)
//------------------------------------------------------------------------------
// Hidden Bearish
// Osc: Higher High
oscHH = osc > ta.valuewhen(phFound, osc , 1) and _inRange(phFound )
// Price: Lower High
priceLH = high < ta.valuewhen(phFound, high , 1)
hiddenBearCond = plotHiddenBear and priceLH and oscHH and phFound
plot(
phFound ? osc : na,
offset=-lbR,
title="Hidden Bearish",
linewidth=1,
color=(hiddenBearCond ? hiddenBearColor : noneColor)
)
plotshape(
hiddenBearCond ? osc : na,
offset=-lbR,
title="Hidden Bearish Label",
text=" EDM ",
style=shape.labeldown,
location=location.absolute,
color=bearColor,
textcolor=textColor
)
RSI (Custom Background) KDMThis code is a custom version of the RSI (Relative Strength Index) indicator.
Its main purpose is to compare recent price gains and losses to determine whether the market is in an overbought or oversold condition.
30–50 zone (purple tone): represents a weak or pullback area.
50–70 zone (green tone): represents a strengthening or dominant buying area.
Additionally, when the RSI line moves above 70, a green gradient background highlights the overbought region; when it moves below 30, a red gradient background emphasizes the oversold region.
Like the classic RSI, this version is a momentum indicator showing whether the price is losing or gaining strength.
The key difference is the colored background, which allows you to visually identify the RSI zones (e.g., 30–50 weak, 50–70 strong) much faster and more clearly.
TraderDemircan Auto Fibonacci RetracementDescription:
What This Indicator Does:This indicator automatically identifies significant swing high and swing low points within a customizable lookback period and draws comprehensive Fibonacci retracement and extension levels between them. Unlike the manual Fibonacci tool that requires you to constantly redraw levels as price action evolves, this automated version continuously updates the Fibonacci grid based on the most recent major swing points, ensuring you always have current and relevant support/resistance zones displayed on your chart.Key Features:
Automatic Swing Detection: Continuously scans the specified lookback period to find the most significant high and low points, eliminating manual drawing errors
Comprehensive Level Coverage: Plots 16 Fibonacci levels including 7 retracement levels (0.0 to 1.0) and 9 extension levels (1.115 to 3.618)
Top-Down Methodology: Draws from swing high to swing low (right-to-left), following the traditional Fibonacci retracement convention where 100% is at the top
Dual Labeling System: Shows both exact price values and Fibonacci percentages for easy reference
Complete Customization: Individual toggle controls and color selection for each of the 16 levels
Flexible Display Options: Adjust line thickness (1-5), style (solid/dashed/dotted), and extension direction (left/right/both)
Visual Swing Markers: Red diamond at the swing high (starting point) and green diamond at the swing low (ending point)
Optional Trend Line: Connects the two swing points to visualize the overall price movement direction
How It Works:The indicator employs a sophisticated swing point detection algorithm that operates in two stages:Stage 1 - Find the Swing Low (Support Base):
Scans the entire lookback period to identify the lowest low, which becomes the anchor point (0.0 level in traditional retracement terms, though displayed at the bottom of the grid).Stage 2 - Find the Swing High (Resistance Peak):
After identifying the swing low, searches for the highest high that occurred after that low point, establishing the swing range. This creates a valid price movement range for Fibonacci analysis.Fibonacci Calculation Method:
The indicator uses the top-down approach where:
1.0 Level = Swing High (100% retracement, the top)
0.0 Level = Swing Low (0% retracement, the bottom)
Retracement Levels (0.236 to 0.786) = Potential support zones during pullbacks from the high
Extension Levels (1.115 to 3.618) = Potential target zones below the swing low
Formula: Price = SwingHigh - (SwingHigh - SwingLow) × FibonacciLevelThis ensures that 0.0 is at the bottom and extensions (>1.0) plot below the swing low, following standard Fibonacci retracement convention.Fibonacci Levels Explained:Retracement Levels (0.0 - 1.0):
0.0 (Gray): Swing low - the base support level
0.236 (Red): Shallow retracement, first minor support
0.382 (Orange): Moderate retracement, commonly watched support
0.5 (Purple): Psychological midpoint, significant support/resistance
0.618 (Blue - Golden Ratio): The most important retracement level, high-probability reversal zone
0.786 (Cyan): Deep retracement, last defense before full reversal
1.0 (Gray): Swing high - the initial resistance level
Extension Levels (1.115 - 3.618):
1.115 (Green): First extension, minimal downside target
1.272 (Light Green): Minor extension, common profit target
1.414 (Yellow-Green): Square root of 2, mathematical significance
1.618 (Gold - Golden Extension): Primary downside target, most watched extension level
2.0 (Orange-Red): 200% extension, psychological round number
2.382 (Pink): Secondary extension target
2.618 (Purple): Deep extension, major target zone
3.272 (Deep Purple): Extreme extension level
3.618 (Blue): Maximum extension, rare but powerful target
How to Use:For Retracement Trading (Buying Pullbacks in Uptrends):
Wait for price to make a significant move up from swing low to swing high
When price starts pulling back, watch for reactions at key Fibonacci levels
Most common entry zones: 0.382, 0.5, and especially 0.618 (golden ratio)
Enter long positions when price shows reversal signals (candlestick patterns, volume increase) at these levels
Place stop loss below the next Fibonacci level
Target: Return to swing high or higher extension levels
For Extension Trading (Profit Targets):
After price breaks below the swing low (0.0 level), use extensions as profit targets
First target: 1.272 (conservative)
Primary target: 1.618 (golden extension - most commonly reached)
Extended target: 2.618 (for strong trends)
Extreme target: 3.618 (only in powerful trending moves)
For Counter-Trend Trading (Fading Extremes):
When price reaches deep retracements (0.786 or below), look for exhaustion signals
Watch for divergences between price and momentum indicators at these levels
Enter reversal trades with tight stops below the swing low
Target: 0.5 or 0.382 levels on the bounce
For Trend Continuation:
In strong uptrends, shallow retracements (0.236 to 0.382) often hold
Use these as low-risk entry points to join the existing trend
Failure to hold 0.5 suggests weakening momentum
Breaking below 0.618 often indicates trend reversal, not just retracement
Multi-Timeframe Strategy:
Use daily timeframe Fibonacci for major support/resistance zones
Use 4H or 1H Fibonacci for precise entry timing within those zones
Confluence between multiple timeframe Fibonacci levels creates high-probability zones
Example: Daily 0.618 level aligning with 4H 0.5 level = strong support
Settings Guide:Lookback Period (10-500):
Short (20-50): Captures recent swings, more frequent updates, suited for day trading
Medium (50-150): Balanced approach, good for swing trading (default: 100)
Long (150-500): Identifies major market structure, suited for position trading
Higher values = more stable levels but slower to adapt to new trends
Pivot Sensitivity (1-20):
Controls how many candles are required to confirm a swing point
Low (1-5): More sensitive, identifies minor swings (default: 5)
High (10-20): Less sensitive, only major swings qualify
Use higher sensitivity on lower timeframes to filter noise
Individual Level Toggles:
Enable only the levels you actively trade to reduce chart clutter
Common minimalist setup: Show only 0.382, 0.5, 0.618, 1.0, 1.618, 2.618
Comprehensive setup: Enable all levels for maximum information
Visual Customization:
Line Thickness: Thicker lines (3-5) for presentation, thinner (1-2) for trading
Line Style: Solid for primary levels (0.5, 0.618, 1.618), dashed/dotted for secondary
Price Labels: Essential for knowing exact entry/exit prices
Percent Labels: Helpful for quickly identifying which Fibonacci level you're looking at
Extension Direction: Extend right for forward-looking analysis, left for historical context
What Makes This Original:While Fibonacci indicators are common on TradingView, this script's originality comes from:
Intelligent Two-Stage Detection: Unlike simple high/low finders, this uses a sequential approach (find low first, then find the high that occurred after it), ensuring logical price flow representation
Comprehensive Level Set: Includes 16 levels spanning from retracement to extreme extensions, more than most Fibonacci tools
Top-Down Methodology: Properly implements the traditional Fibonacci retracement convention (high to low) rather than the reverse
Automatic Range Validation: Only draws Fibonacci when both swing points are valid and in the correct temporal order
Dual Extension Options: Separate controls for extending lines left (historical context) and right (forward projection)
Smart Label Positioning: Places percentage labels on the left and price labels on the right for clarity
Visual Swing Confirmation: Diamond markers at swing points help users understand why levels are positioned where they are
Important Considerations:
Historical Nature: Fibonacci retracements are based on past price swings; they don't predict future moves, only suggest potential support/resistance
Self-Fulfilling Prophecy: Fibonacci levels work partly because many traders watch them, creating actual support/resistance at those levels
Not All Levels Hold: In strong trends, price may slice through multiple Fibonacci levels without pausing
Context Matters: Fibonacci works best when aligned with other support/resistance (previous highs/lows, moving averages, trendlines)
Volume Confirmation: The most reliable Fibonacci reversals occur with volume spikes at key levels
Dynamic Updates: The levels will redraw as new swing highs/lows form, so don't rely solely on static screenshots
Best Practices:
Don't Trade Blindly: Fibonacci levels are zones, not exact prices. Look for confirmation (candlestick patterns, indicators, volume)
Combine with Price Action: Watch for pin bars, engulfing candles, or doji at key Fibonacci levels
Use Stop Losses: Place stops beyond the next Fibonacci level to give trades room but limit risk
Scale In/Out: Consider entering partial positions at 0.5 and adding more at 0.618 rather than all-in at one level
Check Multiple Timeframes: Daily Fibonacci + 4H Fibonacci convergence = high-probability zone
Respect the 0.618: This golden ratio level is historically the most reliable for reversals
Extensions Need Strong Trends: Don't expect extensions to be hit unless there's clear momentum beyond the swing low
Optimal Timeframes:
Scalping (1-5 minutes): Lookback 20-30, watch 0.382, 0.5, 0.618 only
Day Trading (15m-1H): Lookback 50-100, all retracement levels important
Swing Trading (4H-Daily): Lookback 100-200, focus on 0.5, 0.618, 0.786, and extensions
Position Trading (Daily-Weekly): Lookback 200-500, all levels relevant for long-term planning
Common Fibonacci Trading Mistakes to Avoid:
Wrong Swing Selection: Choosing insignificant swings produces meaningless levels
Premature Entry: Entering as soon as price touches a Fibonacci level without confirmation
Ignoring Trend: Fighting the main trend by buying deep retracements in downtrends
Over-Reliance: Using Fibonacci in isolation without confirming with other technical factors
Static Analysis: Not updating your Fibonacci as market structure evolves
Arbitrary Lookback: Using the same lookback period for all assets and timeframes
Integration with Other Tools:Fibonacci + Moving Averages:
When 0.618 level aligns with 50 or 200 EMA, confluence creates stronger support
Price bouncing from both Fibonacci and MA simultaneously = high-probability trade
Fibonacci + RSI/Stochastic:
Oversold indicators at 0.618 or deeper retracements = strong buy signal
Overbought indicators at swing high (1.0) = potential reversal warning
Fibonacci + Volume Profile:
High-volume nodes aligning with Fibonacci levels create robust support/resistance
Low-volume areas near Fibonacci levels may see rapid price movement through them
Fibonacci + Trendlines:
Fibonacci retracement level + ascending trendline = double support
Breaking both simultaneously confirms trend change
Technical Notes:
Uses ta.lowest() and ta.highest() for efficient swing detection across the lookback period
Implements dynamic line and label arrays for clean redraws without memory leaks
All calculations update in real-time as new bars form
Extension options allow customization without modifying core code
Format.mintick ensures price labels match the symbol's minimum price increment
Tooltip on swing markers shows exact price values for precision
Major exchages total Open interest & Long/Short OI trends📊 Indicator: Major Exchanges Total OI & Long/Short Trends
This Pine Script™ indicator is designed to provide a comprehensive analysis of Open Interest (OI) and Long/Short position trends across major cryptocurrency exchanges (Binance, Bybit, OKX, Bitget, HTX, Deribit). It serves as a powerful tool for traders seeking to understand market liquidity, participant positioning, and overall market sentiment.
🔑 Key Features and Functionalities
Aggregated Multi-Exchange Open Interest (OI):
Consolidates real-time Open Interest data from user-selected major cryptocurrency exchanges.
Provides a unified view of the total OI, offering insights into the collective market liquidity and the aggregate size of participants' open positions.
Visualized Combined OI Candles:
Presents the aggregated total OI data in a candlestick chart format.
Displays the Open, High, Low, and Close of the combined OI, with color variations indicating increases or decreases from the previous period. This enables intuitive visualization of OI trend shifts.
Estimated Long/Short OI and Visualization:
Calculates and visualizes estimated Long and Short position Open Interest based on the total aggregated OI data.
Estimation Logic:
Employs a sophisticated logic that considers both price changes and OI fluctuations to infer the balance between Long and Short positions. For instance, an increase in both price and OI may suggest an accumulation of Long positions, while a price decrease coupled with an OI increase might indicate growing Short positions.
Initial 50:50 Ratio:
The estimation for Long/Short OI begins with an assumption of a 50:50 ratio at the initial data point available for the selected timeframe. This establishes a neutral baseline, from which subsequent price and OI changes drive the divergence and evolution of the estimated Long/Short balance.
Flexible Visualization Options:
Allows users to display Long/Short OI data in either line or candlestick styles, with customizable color schemes. This flexibility aids in clearly discerning bullish or bearish positioning trends.
💡 Development Background
The development of this indicator stems from the critical importance of Open Interest data in the cryptocurrency derivatives market. Recognizing the limitations of analyzing individual exchange OI in isolation, the primary objective was to integrate data from leading exchanges to offer a holistic perspective on market sentiment and overall positioning dynamics.
The inclusion of the Long/Short position estimation feature is crucial for deciphering the specific directional biases of market participants, which is often not evident from raw OI data alone. This enables a deeper understanding of how positions are being accumulated or liquidated, moving beyond simple OI change analysis.
Furthermore, a key design consideration was to leverage the characteristic where the indicator's data start point dynamically adjusts with the chart's timeframe selection. This allows for the analysis of short-term Long/Short trends on shorter timeframes and long-term trends on longer timeframes. This inherent flexibility empowers traders to conduct analyses across various time scales, aligning with their diverse trading strategies.
🚀 Trading Applications
Leveraging Combined Open Interest (OI):
Trend Confirmation: A sustained increase in total OI signifies growing market interest and capital inflow, potentially confirming the strength of an existing trend. Conversely, decreasing OI may suggest diminishing participant interest or widespread position liquidation.
Validation of Price Extremes: If price forms a new high but OI fails to increase or declines, it could signal a potential trend reversal (divergence). Conversely, a sharp increase in OI during a price decline might indicate a surge in short positions or renewed selling pressure.
Identifying Volatility Triggers: Monitoring rapid shifts in OI during significant news events or market catalysts can help assess immediate market reactions and liquidity changes.
📈Utilizing Long/Short OI Trends
Assessing Market Bias: A sustained dominance or rapid increase in Long OI suggests a prevalent bullish sentiment, which could inform decisions to enter or maintain long positions. The inverse scenario indicates bearish sentiment and potential short entry opportunities.
Anticipating Squeezes: The indicator can help identify scenarios conducive to short or long squeezes. Excessive short positioning followed by a price uptick can trigger a short squeeze, leading to rapid price appreciation. Conversely, an oversupply of long positions preceding a price drop can result in a long squeeze and sharp declines.
Divergence Analysis: Divergences between price action and Long/Short OI estimates can signal potential trend reversals. For example, if price is rising but the increase in Long OI slows down or Short OI begins to grow, it may suggest weakening buying pressure.
🕔Timeframe-Specific Trend Analysis:
Shorter Timeframes (e.g., 1m, 5m, 15m): Ideal for identifying short-term shifts in participant positioning, beneficial for day trading and scalping strategies. Provides insights into immediate market reactions to price movements.
Longer Timeframes (e.g., 1h, 4h, Daily): Valuable for evaluating broader positioning trends and the sustainability or potential reversal of medium-to-long-term trends. Offers a macro perspective on Long/Short dynamics, suitable for swing trading or long-term investment strategies.
This indicator integrates complex market data, provides nuanced Long/Short position estimations, and offers multi-timeframe analytical capabilities, empowering traders to make more informed and strategic decisions.
QQQ TimingThis is a trend-following position trading strategy designed for the QQQ and the leveraged ETF QLD (ProShares Ultra QQQ). The primary goal is to capture multi-month holds for maximal profit.
Key Instruments & Performance
The strategy performs best with QLD, which yields far superior results compared to QQQ.
TQQQ (triple-leveraged) results in higher drawdowns and is not the optimal choice.
Important: The system is not intended for use with other indexes, individual stocks, or investments (like crypto or gold), as performance can vary widely.
Buy Signals
The strategy's signals are rooted in the S&P 500 Index (SPX), as testing showed it provides more reliable triggers than using QQQ itself.
Primary Buy Signal (Credit to IBD/Mike Webster): The SPX triggers a buy when its low closes above the 21-day Exponential Moving Average (EMA) for three consecutive days.
Refinement with Downtrend Lines: During corrective or bear periods, results and drawdowns can be significantly improved by incorporating downtrend lines. These lines connect lower highs. The strategy waits for the price to close above a drawn downtrend line before executing a buy. This refinement can modify the primary signal, either by allowing for an earlier entry or, in some cases, completely nullifying a false signal until the trend change proves itself.
Risk Management & Exit Strategy
Initial Buy Risk: A 3.7% stop loss is applied immediately upon the initial entry.
Initial Exit Rule: An exit is required if the QQQ's low drops below the 50-day Simple Moving Average (SMA).
Note: The 3.7% stop often provides protection when the initial buy occurs below the 50-day SMA. However, if QQQ is already trading above its 50-day SMA at the time of the SPX signal (indicating relative strength), historically, it has been better to use the 50-day SMA rule to give the position more room to run.
Trend Exit (Profit-Taking): To stay in a strong trend for the optimal amount of time, the long position is exited when a moving average crossover to the downside is triggered, based around the 107-day Simple Moving Average (SMA).
Power Balance ForecasterHey trader buddy! Remember the old IBM 5150 on Wall Street back in the 80s? :) Well, I wanted to pay tribute to it with this retro-style code when MS DOS and CRT screens were the cutting edge of technology...
Analysis of the balance of power between buyers and sellers with price predictions
What This Indicator Does
The Power Balance Forecaster indicator analyzes the relationship between buyer and seller strength to predict future price movements. Here's what it does in detail:
Main Features:
Power Balance Analysis: Calculates real-time percentage of buyer power vs seller power
Price Predictions: Estimates next closing level based on current momentum
Market State Detection: Identifies 5 different market conditions
Visual Signals: Shows directional arrows and price targets
How the Trading Logic Works
Power Balance Calculation:
Analyzes Consecutive Bars - Counts consecutive bullish and bearish bars
Calculates Momentum - Uses ATR-normalized momentum to measure trend strength
Determines Market State - Assigns one of 5 market states based on conditions
Market States:
Bull Control: Strong uptrend (75% buyer power)
Bear Control: Strong downtrend (75% seller power)
Buying Pressure: Bullish pressure (65% buyer power)
Selling Pressure: Bearish pressure (65% seller power)
Balance Area: Market in equilibrium (50/50)
Prediction System:
Bullish Condition: Buyer power > 55% + Positive momentum = Bullish prediction
Bearish Condition: Seller power > 55% + Negative momentum = Bearish prediction
Price Target: Based on ATR multiplied by timeframe factor
Configurable Parameters:
Analysis Sensitivity (5-50): Controls how responsive the indicator is
Low values (5-15): More sensitive, ideal for scalping
High values (30-50): More stable, ideal for swing trading
Table Position: Choose from 9 positions to display the data table
Trading Signals:
Green Triangle ▲: Bullish signal, price expected to increase
Green Triangle ▼: Bearish signal, price expected to decrease
Dashed Line: Shows the price target projection
Label: Displays the exact target value
Recommended Timeframes:
Lower Timeframes (1-15 minutes):
Sensitivity: 10-20
Automatic Low TF mode
Higher Timeframes (1 hour - 1 day):
Sensitivity: 25-40
Automatic High TF mode
Important Notes:
Always use this indicator in combination with:
Market context analysis
Proper risk management
Confirmation from other indicators
Mandatory stop losses
The indicator works best in trending markets and may be less effective during extreme consolidation periods.
Victoria RSI Hybrid Pro – Momentum + Volume + DivergenceConditions and Actions:
RSI > 50 → Bullish regime → Consider Calls
RSI < 50 → Bearish regime → Consider Puts
RSI crosses up → Momentum shift up → Buy confirmation
RSI crosses down → Momentum shift down → Sell confirmation
RSI > 70 → Overbought → Take profits
RSI < 30 → Oversold → Watch for reversal
Bullish divergence → Hidden upward momentum → Reversal watch
Bearish divergence → Hidden downward momentum → Reversal watch
4. Multi-Indicator Confirmation Rules
Combine signals from EMA, SMA, RSI, and Volume to identify high-confidence trades.
Rules:
Triple Green → EMA1>SMA3, RSI>50, Volume Up → Buy Calls / Shares
Triple Red → EMA1 70 + Weak Volume → Exit Calls early
EMA1 flips direction + Strong Volume → Confirm bias immediately
RSI on 1H agrees with main chart → Trend continuation likely
6. Timeframes
Scalps: 1m–5m
Next-Day Options: 15m–1H
Swings: 4H–1D
7. Key Mindset Rules
Patience beats prediction. Wait for confirmations.
Volume confirms conviction, not direction.
If RSI and Overlay disagree → No trade.
Only act when 2 of 3 systems (EMA, RSI, Volume) align.
chart Pattern & Candle sticks Strategy# **XAUUSD Pattern & Candle Strategy - Complete Description**
## **Overview**
This Pine Script indicator is a comprehensive multi-factor trading system specifically designed for **XAUUSD (Gold) scalping and swing trading**. It combines classical technical analysis methods including candlestick patterns, chart patterns, moving averages, and volume analysis to generate high-probability buy/sell signals with automatic stop-loss and take-profit levels.
***
## **Core Components**
### **1. Moving Average System (Triple MA)**
**Purpose:** Identifies trend direction and momentum
- **Fast MA (20-period)** - Short-term price action
- **Medium MA (50-period)** - Intermediate trend
- **Slow MA (200-period)** - Long-term trend direction
**How it works:**
- **Bullish alignment**: MA20 > MA50 > MA200 (all pointing up)
- **Bearish alignment**: MA20 < MA50 < MA200 (all pointing down)
- **Crossover signals**: When Fast MA crosses Medium MA, it triggers buy/sell signals
- **Choice of SMA or EMA**: Adjustable based on preference
**Visual indicators:**
- Blue line = Fast MA
- Orange line = Medium MA
- Light red line = Slow MA
- Green background tint = Bullish trend
- Red background tint = Bearish trend
---
### **2. Candlestick Pattern Recognition (13 Patterns)**
**Purpose:** Identifies reversal and continuation signals based on price action
#### **Bullish Patterns (Signal potential upward moves):**
1. **Hammer** 🔨
- Long lower wick (2x body size)
- Small body at top
- Indicates rejection of lower prices (buyers stepping in)
- Best at support levels
2. **Inverted Hammer**
- Long upper wick
- Small body at bottom
- Shows buying pressure despite initial selling
3. **Bullish Engulfing** 📈
- Green candle completely engulfs previous red candle
- Strong reversal signal
- Body must be 1.2x larger than previous
4. **Morning Star** ⭐
- 3-candle pattern
- Red candle → Small indecision candle → Large green candle
- Powerful reversal at bottoms
5. **Piercing Line** ⚡
- Green candle closes above 50% of previous red candle
- Indicates strong buying interest
6. **Bullish Marubozu**
- Almost no wicks (95% body)
- Very strong bullish momentum
- Body must be 1.3x average size
#### **Bearish Patterns (Signal potential downward moves):**
7. **Shooting Star** 💫
- Long upper wick
- Small body at bottom
- Indicates rejection of higher prices (sellers in control)
- Best at resistance levels
8. **Hanging Man**
- Similar to hammer but appears at top
- Warning of potential reversal down
9. **Bearish Engulfing** 📉
- Red candle completely engulfs previous green candle
- Strong reversal signal
10. **Evening Star** 🌙
- 3-candle pattern (opposite of Morning Star)
- Green → Small → Large red candle
- Powerful top reversal
11. **Dark Cloud Cover** ☁️
- Red candle closes below 50% of previous green candle
- Indicates strong selling pressure
12. **Bearish Marubozu**
- Almost no wicks, pure red body
- Very strong bearish momentum
#### **Neutral Pattern:**
13. **Doji**
- Open and close nearly equal (tiny body)
- Indicates indecision
- Often precedes major moves
**Detection Logic:**
- Compares body size, wick ratios, and position relative to previous candles
- Uses 14-period average body size as reference
- All patterns validated against volume confirmation
***
### **3. Chart Pattern Recognition**
**Purpose:** Identifies major support/resistance and reversal patterns
#### **Patterns Detected:**
**Double Bottom** 📊 (Bullish)
- Two lows at approximately same level
- Indicates strong support
- Breakout above neckline triggers buy signal
- Most reliable at major support zones
**Double Top** 📊 (Bearish)
- Two highs at approximately same level
- Indicates strong resistance
- Breakdown below neckline triggers sell signal
- Most reliable at major resistance zones
**Support & Resistance Levels**
- Automatically plots recent pivot highs (resistance)
- Automatically plots recent pivot lows (support)
- Uses 3-bar strength for validation
- Levels shown as dashed horizontal lines
**Price Action Patterns**
- **Uptrend detection**: Higher highs + higher lows
- **Downtrend detection**: Lower highs + lower lows
- Confirms overall market structure
***
### **4. Volume Analysis**
**Purpose:** Confirms signal strength and filters false signals
**Metrics tracked:**
- **Volume MA (20-period)**: Baseline average volume
- **High volume threshold**: 1.5x the volume average
- **Volume increase**: Current volume > previous 2 bars
**How it's used:**
- All buy/sell signals **require volume confirmation**
- High volume = institutional participation
- Low volume signals are filtered out
- Prevents whipsaw trades during quiet periods
**Visual indicator:**
- Dashboard shows "High" volume in orange when active
- "Normal" shown in gray during low volume
***
### **5. Signal Generation Logic**
**BUY SIGNALS triggered when ANY of these occur:**
1. **Candlestick + Volume**
- Bullish candle pattern detected
- High volume confirmation
- Price above Fast MA
2. **MA Crossover + Volume**
- Fast MA crosses above Medium MA
- High volume confirmation
3. **Double Bottom Breakout**
- Price breaks above support level
- Volume confirmation present
4. **Trend Continuation**
- Uptrend structure intact (higher highs/lows)
- All MAs in bullish alignment
- Price above Fast MA
- Volume confirmation
**SELL SIGNALS triggered when ANY of these occur:**
1. **Candlestick + Volume**
- Bearish candle pattern detected
- High volume confirmation
- Price below Fast MA
2. **MA Crossunder + Volume**
- Fast MA crosses below Medium MA
- High volume confirmation
3. **Double Top Breakdown**
- Price breaks below resistance level
- Volume confirmation present
4. **Trend Continuation**
- Downtrend structure intact (lower highs/lows)
- All MAs in bearish alignment
- Price below Fast MA
- Volume confirmation
***
### **6. Risk Management System**
**Automatic Stop Loss Calculation:**
- Based on ATR (Average True Range) - 14 periods
- **Formula**: Entry price ± (ATR × SL Multiplier)
- **Default multiplier**: 1.5 (adjustable)
- Adapts to market volatility automatically
**Automatic Take Profit Calculation:**
- **Formula**: Entry price ± (ATR × TP Multiplier)
- **Default multiplier**: 2.5 (adjustable)
- **Default Risk:Reward ratio**: 1:1.67
- Higher TP multiplier = more aggressive targets
**Position Management:**
- Tracks ONE position at a time (no pyramiding)
- Automatically closes position when:
- Stop loss is hit
- Take profit is reached
- Opposite MA crossover occurs
- Prevents revenge trading and over-leveraging
**Visual Representation:**
- **Red horizontal line** = Stop Loss level
- **Green horizontal line** = Take Profit level
- Lines remain on chart while position is active
- Automatically disappear when position closes
***
### **7. Visual Elements**
**On-Chart Displays:**
1. **Moving Average Lines**
- Fast MA (Blue, thick)
- Medium MA (Orange, thick)
- Slow MA (Red, thin)
2. **Support/Resistance**
- Green crosses = Support levels
- Red crosses = Resistance levels
3. **Buy/Sell Arrows**
- Large GREEN "BUY" label below bars
- Large RED "SELL" label above bars
4. **Pattern Labels** (Small markers)
- "Hammer", "Bull Engulf", "Morning Star" (green, below bars)
- "Shooting Star", "Bear Engulf", "Evening Star" (red, above bars)
- "Double Bottom" / "Double Top" (blue/orange)
5. **Signal Detail Labels** (Medium size)
- Shows signal reason (e.g., "Bullish Candle", "MA Cross Up")
- Displays Entry, SL, and TP prices
- Color-coded (green for long, red for short)
6. **Background Coloring**
- Light green tint = Bullish MA alignment
- Light red tint = Bearish MA alignment
***
### **8. Information Dashboard**
**Top-right corner table showing:**
| Metric | Description |
|--------|-------------|
| **Position** | Current trade status (LONG/SHORT/None) |
| **MA Trend** | Overall trend direction (Bullish/Bearish/Neutral) |
| **Volume** | Current volume status (High/Normal) |
| **Pattern** | Last detected candlestick pattern |
| **ATR** | Current volatility measurement |
**Purpose:**
- Quick at-a-glance market assessment
- Real-time position tracking
- No need to check multiple indicators
***
### **9. Alert System**
**Complete alert coverage for:**
✅ **Entry Alerts**
- "Buy Signal" - Triggers when buy conditions met
- "Sell Signal" - Triggers when sell conditions met
✅ **Exit Alerts**
- "Long TP Hit" - Take profit reached on long position
- "Long SL Hit" - Stop loss triggered on long position
- "Short TP Hit" - Take profit reached on short position
- "Short SL Hit" - Stop loss triggered on short position
**How to use:**
1. Click "Create Alert" button
2. Select desired alert from dropdown
3. Set notification method (popup, email, SMS, webhook)
4. Never miss a trade opportunity
***
## **Recommended Settings**
### **For Scalping (Quick trades):**
- **Timeframe**: 5-minute
- **Fast MA**: 9
- **Medium MA**: 21
- **Slow MA**: 50
- **SL Multiplier**: 1.0
- **TP Multiplier**: 2.0
- **Volume Threshold**: 1.5x
### **For Swing Trading (Longer holds):**
- **Timeframe**: 1-hour or 4-hour
- **Fast MA**: 20
- **Medium MA**: 50
- **Slow MA**: 200
- **SL Multiplier**: 2.0
- **TP Multiplier**: 3.0
- **Volume Threshold**: 1.3x
### **Best Trading Hours for XAUUSD:**
- **Asian Session**: 00:00 - 08:00 GMT (lower volatility)
- **London Session**: 08:00 - 16:00 GMT (high volatility) ⭐
- **New York Session**: 13:00 - 21:00 GMT (highest volume) ⭐
- **London-NY Overlap**: 13:00 - 16:00 GMT (BEST for scalping) 🔥
***
## **How to Use This Strategy**
### **Step 1: Setup**
1. Open TradingView
2. Load XAUUSD chart
3. Select timeframe (5m, 15m, 1H, or 4H)
4. Add indicator from Pine Editor
5. Adjust settings based on your trading style
### **Step 2: Wait for Signals**
- Watch for GREEN "BUY" or RED "SELL" labels
- Check the signal reason in the detail label
- Verify dashboard shows favorable conditions
- Confirm volume is "High" (not required but preferred)
### **Step 3: Enter Trade**
- Enter at market or limit order near signal price
- Note the displayed Entry, SL, and TP prices
- Set your broker's SL/TP to match indicator levels
### **Step 4: Manage Position**
- Watch for SL/TP lines on chart
- Monitor dashboard for trend changes
- Exit manually if opposite MA crossover occurs
- Let SL/TP do their job (don't move them!)
### **Step 5: Review & Learn**
- Track win rate over 20+ trades
- Adjust multipliers if needed
- Note which patterns work best for you
- Refine entry timing
***
## **Key Advantages**
✅ **Multi-confirmation approach** - Reduces false signals significantly
✅ **Automatic risk management** - No manual calculation needed
✅ **Adapts to volatility** - ATR-based SL/TP adjusts to market conditions
✅ **Volume filtered** - Ensures institutional participation
✅ **Visual clarity** - Easy to understand at a glance
✅ **Complete alert system** - Never miss opportunities
✅ **Pattern education** - Learn patterns as they appear
✅ **Works on all timeframes** - Scalping to swing trading
***
## **Limitations & Considerations**
⚠️ **Not a holy grail** - No strategy wins 100% of trades
⚠️ **Requires practice** - Demo trade first to understand signals
⚠️ **Market conditions matter** - Works best in trending or volatile markets
⚠️ **News events** - Avoid trading during major economic releases
⚠️ **Slippage on 5m** - Fast markets may have execution delays
⚠️ **Pattern subjectivity** - Some patterns may trigger differently than expected
***
## **Risk Management Rules**
1. **Never risk more than 1-2% per trade**
2. **Maximum 3 positions per day** (avoid overtrading)
3. **Don't trade during major news** (NFP, FOMC, etc.)
4. **Use proper position sizing** (0.01 lot per $100 for micro accounts)
5. **Keep trade journal** (track patterns, win rate, mistakes)
6. **Stop trading after 3 consecutive losses** (psychological reset)
7. **Don't move stop loss further away** (accept losses)
8. **Take partial profits** at 1:1 R:R if desired
***
## **Expected Performance**
**Realistic expectations:**
- **Win rate**: 50-65% (depending on market conditions and timeframe)
- **Risk:Reward**: 1:1.67 default (adjustable to 1:2 or 1:3)
- **Signals per day**: 3-8 on 5m, 1-3 on 1H
- **Best months**: High volatility periods (news events, economic uncertainty)
- **Drawdowns**: Expect 3-5 losing trades in a row occasionally
***
## **Customization Options**
All inputs are adjustable in settings panel:
**Moving Averages:**
- Type (SMA or EMA)
- All three period lengths
**Volume:**
- Volume MA length
- High volume multiplier threshold
**Chart Patterns:**
- Pattern strength (bars for pivot detection)
- Show/hide pattern labels
**Risk Management:**
- ATR period
- Stop loss multiplier
- Take profit multiplier
**Display:**
- Toggle pattern labels
- Customize colors (in code)
***
## **Conclusion**
This is a **professional-grade, multi-factor trading system** that combines the best of classical technical analysis with modern risk management. It's designed to give clear, actionable signals while automatically handling the complex calculations of stop loss and take profit levels.
**Best suited for traders who:**
- Understand basic technical analysis
- Can follow rules consistently
- Prefer systematic approach over gut feeling
- Want visual confirmation before entering trades
- Value proper risk management
**Start with demo trading** for at least 20-30 trades to understand how the signals work in different market conditions. Once comfortable and profitable on demo, transition to live trading with minimal risk per trade.
Happy trading! 📈🎯
MCL RSI Conflux v2.5 — Multi-Timeframe Momentum & Z-Score Full Description
Overview
The MCL RSI Conflux v2.5 is a multi-timeframe momentum model that integrates daily, weekly, and monthly RSI values into a unified composite. It extends the classical RSI framework with adaptive overbought/oversold thresholds and statistical normalization (Z-score confluence).
This combination allows traders to visualize cross-timeframe alignment, identify synchronized momentum shifts, and detect exhaustion zones with higher statistical confidence.
Methodology
The script extracts RSI data from three major time horizons:
Daily RSI (short-term momentum)
Weekly RSI (intermediate trend)
Monthly RSI (macro bias)
Each RSI is optionally smoothed, weighted, and aggregated into a Composite RSI.
A Z-score transformation then measures how far each RSI deviates from its historical mean, revealing when momentum strength is statistically extreme or aligned across timeframes.
Key Features
Multi-Timeframe RSI Engine – Computes RSI across D/W/M intervals with individual weighting controls.
Adaptive Overbought/Oversold Bands – Automatically adjusts OB/OS thresholds based on rolling volatility (standard deviation of daily RSI).
Composite RSI Score – Weighted consensus RSI that represents total market momentum.
Z-Score Confluence Analysis – Identifies when all three timeframes are statistically synchronized.
Z-Composite Histogram – Displays aggregated Z-score strength around the midline (50).
Divergence Detection – Flags confirmed pivot-based bull and bear divergences on the daily RSI.
Dynamic Gradient Background – Shifts from red to green based on composite momentum regime.
Customizable Control Panel – Displays RSI values, Z-scores, state, and adaptive bands for each timeframe.
Integrated Alerts – For crossovers, risk-on/off thresholds, alignment, and Z-confluence events.
Interpretation
All RSI values above 50: multi-timeframe bullish alignment.
All RSI values below 50: multi-timeframe bearish alignment.
Composite RSI > 60: risk-on environment; momentum expansion.
Composite RSI < 45: risk-off environment; momentum contraction.
Adaptive OB/OS hits: potential exhaustion or mean reversion setup.
Green Z-ribbon: all Z-scores positive and aligned (statistical confirmation).
Red Z-ribbon: all Z-scores negative and aligned (broad market weakness).
Divergences: short-term warning signals against the prevailing momentum bias.
Practical Application
Use the Composite RSI as a global momentum gauge for position bias.
Trade only in the direction of higher-timeframe alignment (avoid countertrend RSI).
Combine Z-ribbon confirmation with Composite RSI crosses to filter noise.
Use divergence labels and adaptive thresholds for risk reduction or exit timing.
Ideal for swing traders and macro momentum models seeking trend synchronization filters.
Recommended Settings
Market Mode k-Band Lookback Use Case
Stocks / ETFs Adaptive 0.85 200 Medium-term rotation filter
Crypto Adaptive 1.00 150 Volatility-responsive swing filter
Commodities Fixed 70/30 100 Mean reversion model
Alerts Included
Daily RSI crossed above/below Weekly RSI
Composite RSI > Risk-On threshold
Composite RSI < Risk-Off threshold
All RSI aligned above/below 50
Z-Score Conformity (All positive or all negative)
Overbought/Oversold triggers
Author’s Note
This indicator was designed for research and systematic confluence analysis within Mongoose Capital Labs.
It is not financial advice and should be used in combination with independent risk assessment, volume confirmation, and higher-timeframe context.
3D Institutional Battlefield [SurgeGuru]Professional Presentation: 3D Institutional Flow Terrain Indicator
Overview
The 3D Institutional Flow Terrain is an advanced trading visualization tool that transforms complex market structure into an intuitive 3D landscape. This indicator synthesizes multiple institutional data points—volume profiles, order blocks, liquidity zones, and voids—into a single comprehensive view, helping you identify high-probability trading opportunities.
Key Features
🎥 Camera & Projection Controls
Yaw & Pitch: Adjust viewing angles (0-90°) for optimal perspective
Scale Controls: Fine-tune X (width), Y (depth), and Z (height) dimensions
Pro Tip: Increase Z-scale to amplify terrain features for better visibility
🌐 Grid & Surface Configuration
Resolution: Adjust X (16-64) and Y (12-48) grid density
Visual Elements: Toggle surface fill, wireframe, and node markers
Optimization: Higher resolution provides more detail but requires more processing power
📊 Data Integration
Lookback Period: 50-500 bars of historical analysis
Multi-Source Data: Combine volume profile, order blocks, liquidity zones, and voids
Weighted Analysis: Each data source contributes proportionally to the terrain height
How to Use the Frontend
💛 Price Line Tracking (Your Primary Focus)
The yellow price line is your most important guide:
Monitor Price Movement: Track how the yellow line interacts with the 3D terrain
Identify Key Levels: Watch for these critical interactions:
Order Blocks (Green/Red Zones):
When yellow price line enters green zones = Bullish order block
When yellow price line enters red zones = Bearish order block
These represent institutional accumulation/distribution areas
Liquidity Voids (Yellow Zones):
When yellow price line enters yellow void areas = Potential acceleration zones
Voids indicate price gaps where minimal trading occurred
Price often moves rapidly through voids toward next liquidity pool
Terrain Reading:
High Terrain Peaks: High volume/interest areas (support/resistance)
Low Terrain Valleys: Low volume areas (potential breakout zones)
Color Coding:
Green terrain = Bullish volume dominance
Red terrain = Bearish volume dominance
Purple = Neutral/transition areas
📈 Volume Profile Integration
POC (Point of Control): Automatically marks highest volume level
Volume Bins: Adjust granularity (10-50 bins)
Height Weight: Control how much volume affects terrain elevation
🏛️ Order Block Detection
Detection Length: 5-50 bar lookback for block identification
Strength Weighting: Recent blocks have greater impact on terrain
Candle Body Option: Use full candles or body-only for block definition
💧 Liquidity Zone Tracking
Multiple Levels: Track 3-10 key liquidity zones
Buy/Sell Side: Different colors for bid/ask liquidity
Strength Decay: Older zones have diminishing terrain impact
🌊 Liquidity Void Identification
Threshold Multiplier: Adjust sensitivity (0.5-2.0)
Height Amplification: Voids create significant terrain depressions
Acceleration Zones: Price typically moves quickly through void areas
Practical Trading Application
Bullish Scenario:
Yellow price line approaches green order block terrain
Price finds support in elevated bullish volume areas
Terrain shows consistent elevation through key levels
Bearish Scenario:
Yellow price line struggles at red order block resistance
Price falls through liquidity voids toward lower terrain
Bearish volume peaks dominate the landscape
Breakout Setup:
Yellow price line consolidates in flat terrain
Minimal resistance (low terrain) in projected direction
Clear path toward distant liquidity zones
Pro Tips
Start Simple: Begin with default settings, then gradually customize
Focus on Yellow Line: Your primary indicator of current price position
Combine Timeframes: Use the same terrain across multiple timeframes for confluence
Volume Confirmation: Ensure terrain peaks align with actual volume spikes
Void Anticipation: When price enters voids, prepare for potential rapid movement
Order Blocks & Voids Architecture
Order Blocks Calculation
Trigger: Price breaks fractal swing points
Bullish OB: When close > swing high → find lowest low in lookback period
Bearish OB: When close < swing low → find highest high in lookback period
Strength: Based on price distance from block extremes
Storage: Global array maintains last 50 blocks with FIFO management
Liquidity Voids Detection
Trigger: Price gaps exceeding ATR threshold
Bull Void: Low - high > (ATR200 × multiplier)
Bear Void: Low - high > (ATR200 × multiplier)
Validation: Close confirms gap direction
Storage: Global array maintains last 30 voids
Key Design Features
Real-time Updates: Calculated every bar, not just on last bar
Global Persistence: Arrays maintain state across executions
FIFO Management: Automatic cleanup of oldest entries
Configurable Sensitivity: Adjustable lookback periods and thresholds
Scientific Testing Framework
Hypothesis Testing
Primary Hypothesis: 3D terrain visualization improves detection of institutional order flow vs traditional 2D charts
Testable Metrics:
Prediction Accuracy: Does terrain structure predict future support/resistance?
Reaction Time: Faster identification of key levels vs conventional methods
False Positive Reduction: Lower rate of failed breakouts/breakdowns
Control Variables
Market Regime: Trending vs ranging conditions
Asset Classes: Forex, equities, cryptocurrencies
Timeframes: M5 to H4 for intraday, D1 for swing
Volume Conditions: High vs low volume environments
Data Collection Protocol
Terrain Features to Quantify:
Slope gradient changes at price inflection points
Volume peak clustering density
Order block terrain elevation vs subsequent price action
Void depth correlation with momentum acceleration
Control Group: Traditional support/resistance + volume profile
Experimental Group: 3D Institutional Flow Terrain
Statistical Measures
Signal-to-Noise Ratio: Terrain features vs random price movements
Lead Time: Terrain formation ahead of price confirmation
Effect Size: Performance difference between groups (Cohen's d)
Statistical Power: Sample size requirements for significance
Validation Methodology
Blind Testing:
Remove price labels from terrain screenshots
Have traders identify key levels from terrain alone
Measure accuracy vs actual price action
Backtesting Framework:
Automated terrain feature extraction
Correlation with future price reversals/breakouts
Monte Carlo simulation for significance testing
Expected Outcomes
If hypothesis valid:
Significant improvement in level prediction accuracy (p < 0.05)
Reduced latency in institutional level identification
Higher risk-reward ratios on terrain-confirmed trades
Research Questions:
Does terrain elevation reliably indicate institutional interest zones?
Are liquidity voids statistically significant momentum predictors?
Does multi-timeframe terrain analysis improve signal quality?
How does terrain persistence correlate with level strength?
LuxAlgo BigBeluga hapharmonic
🔥 QUANT MOMENTUM SKORQUANT MOMENTUM SCORE – Description (EN)
Summary: This indicator fuses Price ROC, RSI, MACD, Trend Strength (ADX+EMA) and Volume into a single 0-100 “Momentum Score.” Guide bands (50/60/70/80) and ready-to-use alert conditions are included.
How it works
Price Momentum (ROC): Rate of change normalized to 0-100.
RSI Momentum: RSI treated as a momentum proxy and mapped to 0-100.
MACD Momentum: MACD histogram normalized to capture acceleration.
Trend Strength: ADX is direction-aware (DI+ vs DI–) and blended with EMA state (above/below) to form a combined trend score.
Volume Momentum: Volume relative to its moving average (ratio-based).
Weighting: All five components are weighted, auto-normalized, and summed into the final 0-100 score.
Visuals & Alerts: Score line with 50/60/70/80 guides; threshold-cross alerts for High/Strong/Ultra-Strong regimes.
Inputs, weights and thresholds are configurable; total weights are normalized automatically.
How to use
Timeframes: Works on any timeframe—lower TFs react faster; higher TFs reduce noise.
Reading the score:
<50: Weak momentum
50-60: Transition
60-70: Moderate-Strong (potential acceleration)
≥70: Strong, ≥80: Ultra Strong
Practical tip: Use it as a filter, not a stand-alone signal. Combine score breakouts with market structure/trend context (e.g., pullback-then-re-acceleration) to improve selectivity.
Disclaimer: This is not financial advice; past performance does not guarantee future results.
