Multi-EMA Slope DashboardThis script provides a comprehensive dashboard displayed directly on the chart, allowing you to analyze the underlying trend using 8 Exponential Moving Averages (EMA) ranging from period 20 to 55.
Unlike classic indicators that simply check if the price is above or below the EMA, this tool analyzes the slope of each moving average to determine the true market dynamics.
The indicator calculates the status of 8 distinct EMAs (20, 25, 30, 35, 40, 45, 50, 55). For each EMA, the script determines the direction using the following logic:
Slope Calculation: It compares the current EMA value with its value 3 bars ago (variable nb_bougies).
Neutrality Threshold: To avoid false signals in ranging (flat) markets, a neutrality filter is applied (0.01% of the EMA value).
Dashboard Interpretation
The table is located at the top right of your screen and displays three columns:
EMA: The moving average period (e.g., 20, 55).
State:
H (Hausse / Up): The slope is positive and above the threshold.
B (Baisse / Down): The slope is negative and below the negative threshold.
N (Neutre / Neutral): The slope is weak, indicating no clear trend.
COL (Color): Quick visual indicator.
🔵 Blue: Bullish trend.
🟠 Orange: Bearish trend.
⚪ Gray: Neutral Trend / Ranging.
Trading Usage
Trend Confirmation: Use the "Totaux" (Totals) counter at the bottom of the table. If you see 8/8 H (Blue), the bullish trend is strong and aligned across all timeframes (short and medium term).
Reversal Detection: If fast EMAs (20, 25) turn Orange (B) while slow ones (50, 55) are still Blue (H), this may signal the beginning of a correction or a trend reversal.
Indicateurs et stratégies
ALT Risk Metric StrategyHere's a professional write-up for your ALT Risk Strategy script:
ALT/BTC Risk Strategy - Multi-Crypto DCA with Bitcoin Correlation Analysis
Overview
This strategy uses Bitcoin correlation as a risk indicator to time entries and exits for altcoins. By analyzing how your chosen altcoin performs relative to Bitcoin, the strategy identifies optimal accumulation periods (when alt/BTC is oversold) and profit-taking opportunities (when alt/BTC is overbought). Perfect for traders who want to outperform Bitcoin by strategically timing altcoin positions.
Key Innovation: Why Alt/BTC Matters
Most traders focus solely on USD price, but Alt/BTC ratios reveal true altcoin strength:
When Alt/BTC is low → Altcoin is undervalued relative to Bitcoin (buy opportunity)
When Alt/BTC is high → Altcoin has outperformed Bitcoin (take profits)
This approach captures the rotation between BTC and alts that drives crypto cycles
Key Features
📊 Advanced Technical Analysis
RSI (60% weight): Primary momentum indicator on weekly timeframe
Long-term MA Deviation (35% weight): Measures distance from 150-period baseline
MACD (5% weight): Minor confirmation signal
EMA Smoothing: Filters noise while maintaining responsiveness
All calculations performed on Alt/BTC pairs for superior market timing
💰 3-Tier DCA System
Level 1 (Risk ≤ 70): Conservative entry, base allocation
Level 2 (Risk ≤ 50): Increased allocation, strong opportunity
Level 3 (Risk ≤ 30): Maximum allocation, extreme undervaluation
Continuous buying: Executes every bar while below threshold for true DCA behavior
Cumulative sizing: L3 triggers = L1 + L2 + L3 amounts combined
📈 Smart Profit Management
Sequential selling: Must complete L1 before L2, L2 before L3
Percentage-based exits: Sell portions of position, not fixed amounts
Auto-reset on re-entry: New buy signals reset sell progression
Prevents premature full exits during volatile conditions
🤖 3Commas Automation
Pre-configured JSON webhooks for Custom Signal Bots
Multi-exchange support: Binance, Coinbase, Kraken, Bitfinex, Bybit
Flexible quote currency: USD, USDT, or BUSD
Dynamic order sizing: Automatically adjusts to your tier thresholds
Full webhook documentation compliance
🎨 Multi-Asset Support
Pre-configured for popular altcoins:
ETH (Ethereum)
SOL (Solana)
ADA (Cardano)
LINK (Chainlink)
UNI (Uniswap)
XRP (Ripple)
DOGE
RENDER
Custom option for any other crypto
How It Works
Risk Metric Calculation (0-100 scale):
Fetches weekly Alt/BTC price data for stability
Calculates RSI, MACD, and deviation from 150-period MA
Normalizes MACD to 0-100 range using 500-bar lookback
Combines weighted components: (MACD × 0.05) + (RSI × 0.60) + (Deviation × 0.35)
Applies 5-period EMA smoothing for cleaner signals
Color-Coded Risk Zones:
Green (0-30): Extreme buying opportunity - Alt heavily oversold vs BTC
Lime/Yellow (30-70): Accumulation range - favorable risk/reward
Orange (70-85): Caution zone - consider taking initial profits
Red/Maroon (85-100+): Euphoria zone - aggressive profit-taking
Entry Logic:
Buys execute every candle when risk is below threshold
As risk decreases, position sizing automatically scales up
Example: If risk drops from 60→25, you'll be buying at L1 rate until it hits 50, then L2 rate, then L3 rate
Exit Logic:
Sells only trigger when in profit AND risk exceeds thresholds
Sequential execution ensures partial profit-taking
If new buy signal occurs before all sells complete, sell levels reset to L1
Configuration Guide
Choosing Your Altcoin:
Select crypto from dropdown (or use CUSTOM for unlisted coins)
Pick your exchange
Choose quote currency (USD, USDT, BUSD)
Risk Metric Tuning:
Long Term MA (default 150): Higher = more extreme signals, Lower = more frequent
RSI Length (default 10): Lower = more volatile, Higher = smoother
Smoothing (default 5): Increase for less noise, decrease for faster reaction
Buy Settings (Aggressive DCA Example):
L1 Threshold: 70 | Amount: $5
L2 Threshold: 50 | Amount: $6
L3 Threshold: 30 | Amount: $7
Total L3 buy = $18 per candle when deeply oversold
Sell Settings (Balanced Exit Example):
L1: 70 threshold, 25% position
L2: 85 threshold, 35% position
L3: 100 threshold, 40% position (final exit)
3Commas Setup
Bot Configuration:
Create Custom Signal Bot in 3Commas
Set trading pair to your altcoin/USD (e.g., ETH/USD, SOL/USDT)
Order size: Select "Send in webhook, quote" to use strategy's dollar amounts
Copy Bot UUID and Secret Token
Script Configuration:
Paste credentials into 3Commas section inputs
Check "Enable 3Commas Alerts"
Save and apply to chart
TradingView Alert:
Create Alert → Condition: "alert() function calls only"
Webhook URL: api.3commas.io
Enable "Webhook URL" checkbox
Expiration: Open-ended
Strategy Advantages
✅ Outperform Bitcoin: Designed specifically to beat BTC by timing alt rotations
✅ Capture Alt Seasons: Automatically accumulates when alts lag, sells when they pump
✅ Risk-Adjusted Sizing: Buys more when cheaper (better risk/reward)
✅ Emotional Discipline: Systematic approach removes fear and FOMO
✅ Multi-Asset: Run same strategy across multiple altcoins simultaneously
✅ Proven Indicators: Combines RSI, MACD, and MA deviation - battle-tested tools
Backtesting Insights
Optimal Timeframes:
Daily chart: Best for backtesting and signal generation
Weekly data is fetched internally regardless of display timeframe
Historical Performance Characteristics:
Accumulates heavily during bear markets and BTC dominance periods
Captures explosive altcoin rallies when BTC stagnates
Sequential selling preserves capital during extended downtrends
Works best on established altcoins with multi-year history
Risk Considerations:
Requires capital reserves for extended accumulation periods
Some altcoins may never recover if fundamentals deteriorate
Past correlation patterns may not predict future performance
Always size positions according to personal risk tolerance
Visual Interface
Indicator Panel Displays:
Dynamic color line: Green→Lime→Yellow→Orange→Red as risk increases
Horizontal threshold lines: Dashed lines mark your buy/sell levels
Entry/Exit labels: Green labels for buys, Orange/Red/Maroon for sells
Real-time risk value: Numerical display on price scale
Customization:
All threshold lines are adjustable via inputs
Color scheme clearly differentiates buy zones (green spectrum) from sell zones (red spectrum)
Line weights emphasize most extreme thresholds (L3 buy and L3 sell)
Strategy Philosophy
This strategy is built on the principle that altcoins move in cycles relative to Bitcoin. During Bitcoin rallies, alts often bleed against BTC (high sell, accumulate). When Bitcoin consolidates, alts pump (take profits). By measuring risk on the Alt/BTC chart instead of USD price, we time these rotations with precision.
The 3-tier system ensures you're always averaging in at better prices and scaling out at better prices, maximizing your Bitcoin-denominated returns.
Advanced Tips
Multi-Bot Strategy:
Run this on 5-10 different altcoins simultaneously to:
Diversify correlation risk
Capture whichever alt is pumping
Smooth equity curve through rotation
Pairing with BTC Strategy:
Use alongside the BTC DCA Risk Strategy for complete portfolio coverage:
BTC strategy for core holdings
ALT strategies for alpha generation
Rebalance between them based on BTC dominance
Threshold Calibration:
Check 2-3 years of historical data for your chosen alt
Note where risk metric sat during major bottoms (set buy thresholds)
Note where it peaked during euphoria (set sell thresholds)
Adjust for your risk tolerance and holding period
Credits
Strategy Development & 3Commas Integration: Claude AI (Anthropic)
Technical Analysis Framework: RSI, MACD, Moving Average theory
Implementation: pommesUNDwurst
Disclaimer
This strategy is for educational purposes only. Cryptocurrency trading involves substantial risk of loss. Altcoins are especially volatile and many fail completely. The strategy assumes liquid markets and reliable Alt/BTC price data. Always do your own research, understand the fundamentals of any asset you trade, and never risk more than you can afford to lose. Past performance does not guarantee future results. The authors are not financial advisors and assume no liability for trading decisions.
Additional Warning: Using leverage or trading illiquid altcoins amplifies risk significantly. This strategy is designed for spot trading of established cryptocurrencies with deep liquidity.
Tags: Altcoin, Alt/BTC, DCA, Risk Metric, Dollar Cost Averaging, 3Commas, ETH, SOL, Crypto Rotation, Bitcoin Correlation, Automated Trading, Alt Season
Feel free to modify any sections to better match your style or add specific backtesting results you've observed! 🚀Claude is AI and can make mistakes. Please double-check responses. Sonnet 4.5
9/39 EMA Crossover + ADX + RSI Filter (No builtin ADX)
9/39 EMA Crossover + ADX + RSI Filter
This indicator combines classic trend‑following EMAs with momentum and trend‑strength filters to generate high‑quality Buy/Sell signals. It is designed for traders who want cleaner entries, reduced noise, and confirmation‑based signals.
✅ How It Works
1. EMA Trend Logic
• Buy Signal:
9 EMA crosses above 39 EMA
• Sell Signal:
9 EMA crosses below 39 EMA
This captures short‑term momentum shifts within the broader trend.
✅ 2. ADX Trend Strength Filter
To avoid weak or sideways markets, signals only trigger when:
• ADX > 20
This ensures the market has enough directional strength before taking trades.
✅ 3. RSI Momentum Filter
Momentum must align with the direction of the crossover:
• Buy: RSI > 50
• Sell: RSI < 50
This prevents counter‑trend entries and improves signal reliability.
✅ Final Signal Conditions
✅ BUY
• 9 EMA crosses above 39 EMA
• ADX > 20
• RSI > 50
✅ SELL
• 9 EMA crosses below 39 EMA
• ADX > 20
• RSI < 50
✅ Features
• Clean BUY/SELL labels on chart
• ADX calculated manually (compatible with all Pine environments)
• Alerts included for automation
• Works on all timeframes and instruments
✅ Best Use‑Cases
• Trend‑following strategies
• Swing trading
• Intraday momentum confirmation
• Filtering out sideways/noisy markets
BTC Swing Plan – Levels & ZonesThis indicator draws a structured breakout model for BTCUSD with clearly defined entry levels, stop zones, and four realistic upside targets.
It automatically plots:
Breakout zone
Stop-loss zone
Target 1
Target 2
Target 3
Target 4 (stretch target)
Midlines & color-coded structure boxes
This tool is designed for traders who prefer clean execution levels, disciplined risk management, and realistic price expansion steps—not overly aggressive moon projections.
All levels are fully adjustable from the settings menu.
TedAlpha – Structure / FVG / OB Sessions:
Only looks for trades when price is inside your defined London or NY time blocks.
CHOCH:
Uses pivots to track swing highs/lows, then flags a bullish CHOCH when structure flips from LL/LH to HH/HL, and vice versa for bearish.
FVG:
Detects 3-candle imbalance and keeps the zone “active” for fvgLookback bars, then checks if price trades back into it.
Order Blocks:
On a CHOCH, grabs the last opposite candle (bearish before bull CHOCH = bullish OB, bullish before bear CHOCH = bearish OB) and marks its body as the OB zone.
Signal:
A valid long = bull CHOCH + in session + (price inside bullish FVG and/or bullish OB, depending on toggles).
Short is the mirror image.
RR 1:3:
SL uses the last swing low (for longs) or last swing high (for shorts), TP is auto-set at 3× that distance and plotted as lines.
MorphWave Bands [JOAT]MorphWave Bands - Adaptive Volatility Envelope System
MorphWave Bands create a dynamic price envelope that automatically adjusts its width based on current market conditions. Unlike static Bollinger Bands, this indicator blends ATR and standard deviation with an efficiency ratio to expand during trending conditions and contract during consolidation.
What This Indicator Does
Plots adaptive upper and lower bands around a customizable moving average basis
Automatically adjusts band width using a blend of ATR and standard deviation
Detects volatility squeezes when bands contract to historical lows
Highlights breakouts when price moves beyond the bands
Provides squeeze alerts for anticipating volatility expansion
Adaptive Mechanism
The bands adapt through a multi-step process:
// Blend ATR and Standard Deviation
blendedVol = useAtrBlend ? (atrVal * 0.6 + stdVal * 0.4) : stdVal
// Normalize volatility to its historical range
volNorm = (blendedVol - volLow) / (volHigh - volLow)
// Create adaptive multiplier
adaptMult = baseMult * (0.5 + volNorm * adaptSens)
This creates bands that respond to market regime changes while maintaining stability.
Squeeze Detection
A squeeze is identified when band width drops below a specified percentile of its historical range:
Background highlighting indicates active squeeze conditions
Low percentile readings suggest compressed volatility
Squeeze exits often precede directional moves
Inputs Overview
Band Length — Period for basis calculation (default: 20)
Base Multiplier — Starting band width multiplier (default: 2.0)
MA Type — Choose from SMA, EMA, WMA, VWMA, or HMA
Adaptation Lookback — Historical period for normalization (default: 50)
Adaptation Sensitivity — How much bands respond to volatility changes
Squeeze Threshold — Percentile below which squeeze is detected
Dashboard Information
Current trend direction relative to basis and bands
Band width percentage
Squeeze status (Active or None)
Efficiency ratio
Current adaptive multiplier value
How to Use It
Look for squeeze conditions as potential precursors to breakouts
Use band touches as dynamic support/resistance references
Monitor breakout signals when price closes beyond bands
Combine with momentum indicators for directional confirmation
Alerts
Upper/Lower Breakout — Price exceeds band boundaries
Squeeze Entry/Exit — Volatility compression begins or ends
Basis Crosses — Price crosses the center line
This indicator is provided for educational purposes. It does not constitute financial advice.
— Made with passion by officialjackofalltrades
VCAI Volume & Liquidity Map LiteVCAI Volume & Liquidity Map Lite visualises recent market participation using a horizontal liquidity/volume histogram plotted beside current price.
It shows where trading activity has clustered, where the chart is thin, and how much of that activity came from buying vs selling pressure.
This Lite edition keeps the tool simple and fast:
Yellow = buy-side volume (aggressive buyers / upward pressure)
Purple = sell-side volume (aggressive sellers / downward pressure)
Thicker sections = higher traded volume at that price
POC line (purple) marks the price with the highest volume concentration
Value Area lines (yellow dashed) mark where ~70% of volume has traded
Bars extend outward to the right of price for a clean, unobstructed chart
Lookback setting controls how many candles the map is built from
Use it to quickly identify:
high-interest price zones
low-liquidity areas where price can move fast
likely reaction levels
where momentum may slow, reverse, or break through
Designed as a lightweight, open-source tool for anyone wanting a clean liquidity/volume map without complex settings.
Part of the VCAI Lite Series.
Expert Trader: Pro Scalp DashboardDescription
Overview This indicator is a comprehensive trading system designed for Scalpers and Day Traders who operate on lower timeframes (1M, 5M, 15M) but need to respect the higher timeframe (HTF) context. It combines on-chart technical analysis tools with a sophisticated Multi-Timeframe (MTF) Information Dashboard to identify high-probability setups and filter out risky entries.
Key Features
1. The "Pro Scalp" Dashboard Located on the right side of your screen, this panel provides real-time situational awareness without the need to switch charts:
MTF Momentum (WaveTrend): Monitors the 1H and 4H WaveTrend cycles.
Strategy: Look for trade entries on your current timeframe that align with the 1H and 4H Trend Bias (e.g., Only Long when HTF is Green).
Risk Filtration (MTF RSI): Automatically flags dangerous entry zones.
Alerts: Displays "NO LONG (Risk)" or "NO SHORT (Risk)" if the 1H or 4H RSI indicates overbought or oversold conditions, protecting you from buying tops or selling bottoms.
Volume "BANG!" Detection: Compares current volume against the 20-period average.
Trigger: Flashes "BANG! 💥" when volume spikes (default: 2.5x average), signaling institutional activity or a breakout.
ADX Strength: indicates whether the market is trending or ranging.
2. On-Chart Technical Structure
Dual DEMA (50 & 200): Double Exponential Moving Averages provide a faster, more responsive trend baseline than standard EMAs, reducing lag for scalping entries.
Bollinger Bands: Visualizes volatility expansion and mean reversion levels.
How to Use
Bullish Setup: Price is above DEMA 50/200 + Dashboard shows 1H/4H WaveTrend "LONG" + Volume shows "BANG!".
Bearish Setup: Price is below DEMA 50/200 + Dashboard shows 1H/4H WaveTrend "SHORT".
Caution: Avoid entries when the Dashboard RSI filters show "Risk" or ADX is below 20 (Choppy Market).
Settings
DEMA Lengths: Fully customizable.
Volume Factor: Adjust the sensitivity of the volume spike detection.
Dashboard Position: Fixed to the middle-right for better visibility.
Smart Scalper V7 [Churn Filter]Indicator uses relative volume by time as well as ADX to highlight if volume is high to prevent trading in chop or being faked out.
Dec 1
Release Notes
How to Read the "Traffic Light" 🚦
You asked: "How do I work out if volume is higher or lower?" Look at the White Horizontal Line running across the indicator.
Height (Quantity):
Above the Line: Volume is High (The crowd is here).
Below the Line: Volume is Low (Everyone is at lunch).
Color (Quality):
🟢 Green: High Volume + Strong Trend. (Best for Entries).
🟡 Yellow: High Volume but NO Trend. This is usually a Reversal or a Trap. (Big fight, no winner yet).
🟠 Orange: Trending, but on Low Volume. The price is drifting. Don't trust it—it can snap back easily.
🔴 Red: Low Volume, No Trend. The "Kill Zone." Do not trade.
5 EMA SuiteHere is a breakdown of the code logic, tailored to your background as a developer.
### 1\. Version & Declaration
```pinescript
//@version=6
indicator("5 EMA Suite", shorttitle="5 EMA", overlay=true)
```
* **`//@version=6`**: This is the compiler directive. It tells TradingView to use the latest Pine Script engine (v6).
* **`indicator(...)`**: This defines the script properties.
* `"5 EMA Suite"`: The full name seen in the library.
* `shorttitle="5 EMA"`: The label seen on the chart legend.
* `overlay=true`: This is crucial. It tells the script to draw **on top of the price candles**. If this were `false`, the lines would appear in a separate pane below the chart (like an RSI or MACD volume oscillator).
### 2\. User Inputs (The "Settings" UI)
```pinescript
group_settings = "EMA Configurations"
len1 = input.int(9, title="EMA 1 Length", minval=1, group=group_settings)
...
src = input.source(close, title="Source", group=group_settings)
```
* **`input.int(...)`**: This creates an integer field in the UI settings menu. It’s similar to defining public properties in a .NET class that a user can configure at runtime.
* **`9`**: The default value.
* **`minval=1`**: Input validation (prevents divide-by-zero or negative length errors).
* **`group`**: Organizes all these inputs under a collapsible header in the settings menu, keeping the UI clean.
* **`input.source(...)`**: Allows you to choose what data to calculate on (e.g., `close`, `open`, `high`). Default is `close`.
### 3\. The Calculation Logic
```pinescript
ema1 = ta.ema(src, len1)
```
* **`ta.ema`**: This calls the built-in **Technical Analysis** namespace (`ta`).
* It calculates the Exponential Moving Average using the `src` (Price) and `len1` (Lookback period) defined above.
* Pine Script handles the array/series processing automatically. You don't need a `for` loop to iterate through historical bars; the runtime executes this script once for every bar on the chart efficiently.
### 4\. Visualization (Plotting)
```pinescript
plot(ema1, color=color.new(color.blue, 0), title="EMA 1", linewidth=1)
```
* **`plot(...)`**: The command to render the data on the canvas.
* **`color.new(color.blue, 0)`**: In v6, you cannot pass transparency directly to `plot`. You must create a color object.
* `color.blue`: The base color.
* `0`: The transparency (0 = solid/opaque, 100 = invisible).
* **`linewidth`**: Sets the thickness of the line (pixels). I increased the thickness for higher EMAs (50, 100, 200) in the code so visually they stand out as "major" support/resistance levels.
-----
CEF (Chaos Theory Regime Oscillator)Chaos Theory Regime Oscillator
This script is open to the community.
What is it?
The CEF (Chaos Entropy Fusion) Oscillator is a next-generation "Regime Analysis" tool designed to replace traditional, static momentum indicators like RSI or MACD. Unlike standard oscillators that only look at price changes, CEF analyzes the "character" of the market using concepts from Chaos Theory and Information Theory.
It combines advanced mathematical engines (Hurst Exponent, Entropy, VHF) to determine whether a price movement is a real trend or just random noise. It uses a novel "Adaptive Normalization" technique to solve scaling problems common in advanced indicators, ensuring the oscillator remains sensitive yet stable across all assets (Crypto, Forex, Stocks).
What It Promises:
Intelligent Filtering: Filters out false signals in sideways (volatile) markets using the Hurst Base to measure trend continuity.
Dynamic Adaptation: Automatically adapts to volatility. Thanks to trend memory, it doesn't get stuck at the top during uptrends or at the bottom during downtrends.
No Repainting: All signals are confirmed at the close of the bar. They don't repaint or disappear.
What It Doesn't Promise:
Magic Wand: It's a powerful analytical tool, not a crystal ball. It determines the regime, but risk management is up to the investor.
Late-Free Holy Grail: It deliberately uses advanced correction algorithms (WMA/SMA) to provide stability and filter out noise. Speed is sacrificed for accuracy.
Which Concepts Are Used for Which Purpose?
CEF is built on proven mathematical concepts while creating a unique "Fusion" mechanism. These are not used in their standard forms, but are remixed to create a consensus engine:
Hurst Exponent: Used to measure the "memory" of the time series. Tells the oscillator whether there is a probability of the trend continuing or reversing to the mean.
Vertical Horizontal Filter (VHF): Determines whether the market is in a trend phase or a congestion phase.
Shannon Entropy: Measures the "irregularity" or "unpredictability" of market data to adjust signal sensitivity.
Adaptive Normalization (Key Innovation): Instead of fixed limits, the oscillator dynamically scales itself based on recent historical performance, solving the "flat line" problem seen in other advanced scripts.
Original Methodology and Community Contribution
This algorithm is a custom synthesis of public domain mathematical theories. The author's unique contribution lies in the "Adaptive Normalization Logic" and the custom weighting of Chaos components to filter momentum.
Why Public Domain? Standard indicators (RSI, MACD) were developed for the markets of the 1970s. Modern markets require modern mathematics. This script is presented to the community to demonstrate how Regime Analysis can improve trading decisions compared to static tools.
What Problems Does It Solve?
Problem 1: The "Stagnant Market" Trap
CEF Solution: While the RSI gives false signals in a sideways market, CEF's Hurst/VHF filter suppresses the signal, essentially making the histogram "off" (or weak) during noise.
Problem 2: The "Overbought" Fallacy
CEF Solution: In a strong trend (Pump/Dump), traditional oscillators get stuck at 100 or 0. CEF uses "Trend Memory" to understand that an overbought price is not a reversal signal but a sign of trend strength, and keeps the signal green/red instead of reversing it prematurely. Problem 3: Visual Confusion
CEF Solution: Instead of multiple lines, it presents a single, color-coded histogram featuring only prominent "Smart Circles" at high-probability reversal points.
Automation Ready: Custom Alerts
CEF is designed for both manual trading and automation.
Smart Buy/Sell Circles: Visual signals that only appear when trend filters are aligned with momentum reversals.
Deviation Labels: Automatically detects and labels structural divergences between price and entropy.
Disclaimer: This indicator is for educational purposes only. Past performance does not guarantee future results. Always practice appropriate risk management.
Strat Daily Predictor📊 Strat Daily Predictor
This indicator analyzes Daily timeframe Strat patterns and displays actionable trading setups on any chart timeframe.
🔹 FEATURES:
• Detects all major Strat patterns (2-1-2, 3-1-2, 3-2-2, 1-2-2, 2-2, 1-2, 1-3)
• Shows Entry (E) and Target (T) price levels
• Pattern status: ACTIONABLE, TRIGGERED, or IN-FORCE
• Visual Entry/Target lines on chart
• Entry signals when price breaks trigger levels
• Works on any timeframe using Daily analysis
🔹 PATTERN TYPES:
• Continuation patterns (trend following)
• Reversal patterns (counter-trend)
• Bullish & Bearish setups
🔹 TABLE DISPLAYS:
• Current pattern name
• Bar combo (e.g., 2↑ → 1 → 2↑)
• Bias (BULLISH/BEARISH)
• Entry & Target prices
• Daily High/Low levels
🔹 HOW TO USE:
1. Add to any timeframe chart
2. Check table for Daily pattern setup
3. Wait for ACTIONABLE patterns
4. Enter when price breaks Entry level
5. Target shown on chart
🔹 ALERTS:
• Long Entry
• Short Entry
• Actionable Pattern
• In-Force Pattern
Based on Rob Smith's "The Strat" methodology.
ueuito Trend Strength LSMA-BasedAnother experience.... still improving
Indicator Description (English)
Name: Trend Strength LSMA-Based
Overview:
This indicator is designed to measure the strength and exhaustion of a trend based on the Least Squares Moving Average (LSMA). It combines price, trend slope, volume, and volatility to calculate a trend exhaustion score, which is then smoothed and visualized as a colored area on the chart. The indicator also plots discrete points to signal potential reversals or decreases in trend intensity.
Key Features:
LSMA-Based Trend Strength:
Calculates a Least Squares Moving Average (LSMA) of the selected timeframe.
Measures the slope of the LSMA to capture trend direction and momentum.
Trend Exhaustion Score:
Combines multiple factors:
Distance between price and LSMA
LSMA slope (trend strength)
Volume relative to its moving average
ATR-based volatility
Each factor is weighted according to user-defined inputs.
The combined score is multiplied to produce a scaled trend exhaustion value.
Smoothed Area Plot:
The trend exhaustion score is smoothed using an EMA to reduce noise.
Displayed as a colored area that changes based on trend strength:
Strong bullish exhaustion → dark green
Weak bullish exhaustion → light green
Strong bearish exhaustion → dark red
Weak bearish exhaustion → light red
Neutral → gray
Dynamic Visual Cues:
Points for reversals: small green/red circles appear when the trend changes direction.
Points for intensity decrease: small green/red circles appear when the trend weakens but has not yet reversed.
The area’s color intensity dynamically reflects the strength of the trend exhaustion, making it visually intuitive.
Multi-Timeframe Support:
The indicator can calculate the trend exhaustion based on a different timeframe from the chart, allowing for higher timeframe trend analysis on lower timeframe charts.
Customizable Settings:
LSMA period, smoothing length, volume period, ATR period
Weighting for each factor in the score calculation
Thresholds for weak/strong exhaustion
Timeframe selection
Usage:
Identify when a trend is losing strength or approaching a potential reversal.
Helps visualize the current momentum and exhaustion of bullish or bearish trends.
Can be used in conjunction with other technical tools for confirming entries or exits.
Important Note:
Depending on the asset, market volatility, and timeframe, it may be necessary to adjust the indicator settings to optimize its responsiveness and accuracy. The default parameters provide a general starting point but fine-tuning is recommended for best results.
Stochastic RSI (MTF) by Martin BueckerMulti-Timeframe Smoothed Stochastic RSI Indicator
Author: Martin Bücker
This indicator calculates the Stochastic RSI based on a higher timeframe while running on a lower timeframe chart, providing a smoother and more responsive curve without the typical step-like behavior of higher timeframe data.
Multi-Timeframe Support: Computes the Stochastic RSI using data from a user-defined higher timeframe (e.g., 3-minute on a 1-minute chart) while aligning updates to the current chart's timeframe for timely signals.
Smoothing: Applies smoothing to both %K and %D lines to reduce noise and create smooth curves, avoiding the stair-step effect common in higher timeframe indicators.
Customization: Allows the user to adjust RSI length, stochastic length, and smoothing parameters for fine-tuning.
Visuals: Plots %K and %D lines with clear coloring and highlights overbought/oversold zones with background fills.
This tool is ideal for traders seeking to integrate higher timeframe momentum information into lower timeframe decision-making without losing timing accuracy or smoothness.
Renkli EMA ve Ok Sinyali by incebacak//@version=5
indicator(, overlay=true)
//
emaLength = input.int(20, "EMA Periyodu")
emaColorUp = input.color(color.green, "EMA Yukarı Renk")
emaColorDown = input.color(color.red, "EMA Aşağı Renk")
barColorUp = input.color(color.new(color.green, 0), "Yukarı Mum Renk")
barColorDown = input.color(color.new(color.red, 0), "Aşağı Mum Renk")
emaThickness = input.int(3, "EMA Kalınlığı")
//
emaValue = ta.ema(close, emaLength)
//
emaRising = emaValue > emaValue
emaFalling = emaValue < emaValue
emaCol = emaRising ? emaColorUp : emaColorDown
plot(emaValue, color=emaCol, linewidth=emaThickness, title="EMA")
//
barcolor(close > emaValue ? barColorUp : barColorDown)
//
plotshape(ta.crossover(close, emaValue), title="Al Sinyali", location=location.belowbar, color=color.green, style=shape.triangleup, size=size.small)
plotshape(ta.crossunder(close, emaValue), title="Sat Sinyali", location=location.abovebar, color=color.red, style=shape.triangledown, size=size.small)
FRPC - Fractal Reversal Permission ComponentThis tool identifies high-probability reversal points using a three-stage confirmation model:
1️⃣ Liquidity Sweep (LS)
Price must take out a previous fractal high/low, indicating stop-hunt liquidity removal.
2️⃣ Reclaim (RC)
After sweeping liquidity, price must close back inside the previous swing, showing absorption and rejection.
3️⃣ Break of Structure (BOS)
A structural break confirms a true shift in market direction and avoids false reversal signals.
FRPC only triggers BUY or SELL signals when all three layers align, creating actionable reversal conditions rather than random fractal noise.
This approach helps avoid chasing breakouts, filters low-quality sweeps, and identifies areas where reversals are statistically more likely.
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What FRRC Helps You Identify
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True reversals after stop-hunts
Liquidity grabs followed by displacement
Avoiding fake breakouts
Swing points with strong reaction potential
High-probability turning points with real structure support
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Sidenote
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The accuracy of the signals range from 56% to 72% and is mainly designed to be a structural filter to be paired with a strong exhaustion system. This is just a bare bones version and I plan to work on a more advanced version yo pair with the current exhaustion systems I'm building out
market condition by moving averagewhen the 10ma and 20ma of S&P is sloping up, the indicator will show a green background, which means breakout trade has a higher chance of working out.
NYSE Session📌 NYSE Open–Close Session Map — by o0psi
This tool marks the exact candles where the New York Stock Exchange opens and closes, and automatically tracks the true session high and low.
Everything is locked to the exact bar where it happened — no drifting, no extended rays, no repainting.
🔹 Features
NYSE OPEN marker (9:30 EST)
NYSE CLOSE marker (16:00 EST)
Faint background highlight showing the full regular session
Real session high/low detection
High/low candles update live as the session forms
High/low markers stay attached to the exact candle that created them
Perfect for futures, indices, and equities traders
🔹 Why traders use this
The NYSE open and close create some of the most important liquidity events of the day.
This indicator makes them obvious — clean visuals, no clutter, no guessing.
🔹 Ideal for
SPY / ES / NQ scalpers
US30 / SPX traders
Liquidity + session-based traders
Intraday momentum and volatility setups
Anyone who uses NY open/close as key decision points
Made with precision by o0psi.
TDI Fibonacci Volatility Bands Candle Coloring [cryptalent]"This is an advanced Traders Dynamic Index (TDI) candle coloring system, designed for traders seeking precise dynamic analysis. Unlike traditional TDI, which typically relies on a 50 midline with a single standard deviation band (±1 SD), this indicator innovatively incorporates Fibonacci golden ratio multiples (1.618, 2.618, 3.618 times standard deviation) to create multi-layered dynamic bands. It precisely divides the RSI fast line (green line) position into five distinct strength zones, instantly reflecting them on the candle colors, allowing you to grasp market sentiment in real-time without switching to a sub-chart.
Core Calculation Logic:
RSI Period (default 20), Band Length (default 50), and Fast MA Smoothing Period (default 1) are all adjustable.
The midline is the Simple Moving Average (SMA) of RSI, with upper and lower bands calculated by multiplying Fibonacci multiples with Standard Deviation (STDEV), generating three dynamic band sets: 1.618, 2.618, and 3.618.
Traders can quickly identify the following scenarios:
Extreme Overbought Zone (Strong Bullish, Red): Fast line exceeds custom threshold (default 82) and breaks above the specified band (default 2.618). This often signals overheating, potentially a profit-taking point or reversal short entry, especially at trend tops.
Extreme Oversold Zone (Strong Bearish, Green): Fast line drops below custom threshold (default 28) and breaks below the specified band (default 2.618). This is a potential strong rebound starting point, ideal for bottom-fishing or long entries.
Medium Bullish Zone (Yellow): Fast line surpasses medium threshold (default 66) and stands above the specified band (default 1.618), indicating bullish dominance in trend continuation.
Medium Bearish Zone (Orange): Fast line falls below medium threshold (default 33) and breaks below the specified band (default 1.618), signaling bearish control in segment transitions.
Neutral Zone (No Color Change): Fast line within custom upper and lower limits (default 34~65), retaining original candle colors to avoid noise interference during consolidation.
Color priority logic flows from strong to weak (Extreme > Medium > Neutral), ensuring no conflicts. All parameters are highly customizable, including thresholds, band selections (1.618/2.618/3.618/Midline/None), color schemes, and even optional semi-transparent background coloring (default off, transparency 90%) for enhanced visual layering.
Applicable Scenarios:
Intraday Trading: Capture extreme color shifts as entry/exit signals.
Swing Trading: Use medium colors to confirm trend extensions.
Long-Term Trend Following: Filter noise in neutral zones to focus on major trends.
Supports various markets like forex, stocks, and cryptocurrencies. After installation, adjust parameters in settings to match your strategy, and combine with other indicators like moving averages or support/resistance for improved accuracy.
If you're a TDI enthusiast, this will make your trading more intuitive and efficient!
Custom RSI & Volume Condition//@version=5
indicator("Custom RSI & Volume Condition", overlay=true)
// دوال مساعدة
crossUp(src, level) =>
ta.crossover(src, level)
riseByPercent(src, percent, bars) =>
src > src * (1 + percent/100)
// حساب RSI
rsi = ta.rsi(close, 14)
// الشرط الأول: اختراق RSI لمستوى 45 أو 50
cond1 = crossUp(rsi, 45) or crossUp(rsi, 50)
// الشرط الثاني: RSI > 50 مع اختراق مستوى 55 أو 60
cond2 = (rsi > 50 and crossUp(rsi, 55)) or (rsi > 50 and crossUp(rsi, 60))
// الشرط الثالث: ارتفاع السعر بنسبة 2% مقارنة بالشمعة السابقة
cond3 = riseByPercent(close, 2, 1)
// الشرط الرابع: حجم التداول أكبر من حجم الشمعة السابقة
cond4 = volume > volume
// التجميع النهائي
signal = (cond1 or cond2) and cond3 and cond4
// عرض إشارة على الرسم
plotshape(signal, title="Buy Signal", style=shape.labelup, color=color.green, text="BUY")
Opening Range — Four Sessions (v6, multi-TF, seconds-aware)This script creates the opening ranges for major markets. You can configure period, opening and closing hours.
