MACD Sticky Dots Bull & Bear
**Sticky Dots – Multi-Confirmation Momentum & Trend Indicator**
What is it?
Dots designed to show momentum of trend, weak or strong illustrated through size and color. Certain thresholds give GREEN DOTS OR RED DOTS, when strong the dots are LARGER. Colors of candles are plotted along with Buy and Sell signals and rare reversal signals (these are all plotted based on inputs in the indicator). Along with these Dots is a moving average derived from Bollinger Bands, this acts as both support and resistance to price. Also Pivot Highs and Pivot Lows get plotted based on all these inputs and price action combined.
BELOW IS MORE DETAILS
**Key Visual Elements & Color/Symbol Meaning**
**1. Candlestick Colors** (toggle: "Show Candle Colors")
- **Bright Green** (#00FF00 shades): Price closes ≥ upper dispersion band (close ≥ disp_up). Strong bullish momentum.
- **Bright Red** (#FF0000 shades): Price closes ≤ lower dispersion band (close ≤ disp_down). Strong bearish momentum.
- **Yellow** (#FFEA00): Price inside the dispersion bands (neutral zone). Trend is consolidating or weak.
**2. Basis Moving Average Line** (20-period EMA, toggle: "Show Price Basis MA")
The thick line on price follows the same coloring logic as candles derived from thresholds that deem them bullish(green), consolidating(yellow) or bearish(red):
- **Dark Green** (rgb(0,162,30)): Strong bullish
- **Lime Green** (rgb(153,253,2)): Moderate bullish
- **Yellow** (#FFEA00): Neutral or weak.
- **Red** (rgb(243,13,13)): Bearish
**3. MACD Dots/Circles** (below bars, toggle: "Show Dots")
Normalized & sigmoid-compressed MACD histogram plotted as sticky dots:
- **small Green Dots** MACD positive:
- Solid bright green (#00FF00): Increasing momentum.
- Slightly transparent green (#16FF0A): Decreasing but still bullish.
- **Large Circle** (instead of small dot): Stochastic Momentum is in strong bull zone→ overbought emphasis.
- **Red Dots/Circles** (condensed_histNorm < 50):
- Solid bright red (#FF0000): Decreasing momentum (stronger bearish).
- Slightly transparent red (#FF0707): Increasing but still bearish.
- **Large Circle**: Stochastic Momentum is in strong bear zone → oversold emphasis.
**4. Buy/Sell Signals**
- **"B"** (green, below bar): Buy signal – confluence of all inputs in indicator in bullish state prints B
- **"S"** (red, above bar): Sell signal – confluence of all inputs in indicator in bearish state prints S
- **"R"** (yellow, below bar): Reversal – appears only after a completed downswing when price closes back above basis with new green dots (signals potential bottom).
**5. Pivot High / Pivot Low Lines** (horizontal) DESIGNED TO FIND PIVOT TOPS/BOTTOMS
- **Red horizontal line** (from swing high): Marks confirmed Pivot High during an active long (buy) position. Triggered when red circles appear after a bright red condition.
- **Green horizontal line** (from swing low): Marks confirmed Pivot Low during an active short (sell) position. Triggered on fresh green circles.
**6. Optional Plots**
- **Outer Bollinger Bands**: Standard Bollinger bands by the Great John Bollinger.
- **Dispersion Bands** (white, with translucent fill matching Trend color)
**How to Read & Trade the Indicator**
1. **Overall Trend Direction**
- Look at the Basis MA color first:
- Green → Uptrend bias.
- Red → Downtrend bias.
- Yellow → Range/Consolidation.
2. **Momentum Strength**
- Green dots/circles (especially large ones) = bullish momentum building.
- Red dots/circles (especially large) = bearish momentum building.
- Brighter dots + price outside dispersion = stronger conviction.
3. **Candle Coloring for Quick Bias**
- Green candles = price in strong bullish zone.
- Red candles = strong bearish zone.
- Yellow = indecision/consolidation – wait for breakout.
4. **Entry Signals**
- Wait for a **"B"** in a green/yellow candle context with green dots appearing.
- Best entries when price is above basis and Green dots are Large
- **"R"** label =potential big Reversal
5. **Exit / Reversal Management**
- Active long → watch for red circles → confirmed PH line = potential exit zone.
- Active short → watch for green circles → confirmed PL line = potential cover zone.
- **"R"** label = early warning of possible reversal after a downswing.
Signals
Universal Swing & ScalperHello Chart Warrior,
We always expect easy setups to trade in financial market. To make it easier for you, I am presenting my brand new indicator: "USS Prime" aka "Universal Swing & Scalper" .
Though I was more focused on Gold when I started creating this indicator, you can use it for other assets as well. It is fully loaded with lots of features & filters. Let's break it down.
Inputs section is as below:
1. USS Mode: Aggressive & Balanced
I have set "Balanced" as default. With Aggressive mode you'll get early entries but it will also carry risk of false signals. With Balanced mode you get less but more reliable signals. Aggressive mode can be useful for scalping purpose.
2. EMA 200
EMA is fixed to 200 by default and is being used to find out the overall trend. EMA slope is used to identify if the asset is actually in trend and to avoid range. Higher the value of Slope, more strict parameter and vice versa. It is set to 0.05 by default, but you can reduce it for cryptocurrencies. It will check values of previous 10 bars for slope by default. You can change slope value & lookback period. Change only if you understand them. You can enable/disable EMA 200 Trend filter. EMA 200 slope is only applicable to Buy/Sell signals not to Up/Down arrows.
3. Filters
Total 4 filters are applied and all are toggleable.
You can use "HTF Trend" filter to check trend alignment on higher time frame with respect to chart time frame. So suppose you want to initiate Buy trade on 5m chart and you have set HTF trend to 1 Hour, then signal/arrow will not get produced if price of asset price is below 200 EMA on 1 hour time frame, even though all other criteria get fulfilled.
"Strong Candle" & "Strong volume" filter's criteria are internally coded and not available to modify. Still you can enable/disable them.
"Trend Strength" filter is very important in this indicator and it is highly recommended to not to turn it off, even though you disable all other filters. It will check trend strength across last 14 bars (candles). Trigger threshold for Trend Strength is set to 20 by default. Higher the value, higher the trend strength & strictness as well & vice versa. Do not increase it more then 25 & never lower it less then 17.
Imp Note: Out of all 4 filters "Strong Volume" is applicable to Buy/Sell only not to Up/Down Arrows. This is done intentionally to take maximum benefits of Arrows.
4. Signals
There are 2 types of signals available in this indicator, Buy/Sell & Up/Down Arrows. Both can be used for trading. You can enable/disable both of them. You can choose after how many bars Labels/Arrows will get displayed. For Buy/Sell it is set to 30 & Up/Down Arrows is set to 8 by default.
5. SL/TP Settings
Headache to decide SL & TP manually has been eliminated with auto SL/TP levels. SL/TP values & labels will be created automatically for Buy/Sell & Arrows. Multiplier for SL is set to 2 which is much required for volatile assets like Gold, you can reduce it to 1.5 for other low volatile asset as per your requirement. Risk Reward Ratio is applicable to 3rd TP. TP1 is set at 1R & TP2 at 2R of stop loss. Labels for Buy/Sell will be on left side of the bar while for Arrow it will be on right. When arrow & buy/sell appear simultaneously only right one will remain active.
History option is available to check SL/TP levels of previous trades if back to back trade opportunity appear as labels will be deleted once other signal appear or SL/TP3 get hit.
6. USS Divergence
This is one of the most special aspect of USS Prime crafted with amazing parameters. You just can't underestimate this, you will love it. This is great in identifying reversal and can also be helpful to exit partially or fully of any swing trade. Bars to check is set to 5 by default. For FX currency pairs you can change it to 6 or 7 max. Don't lower the value.
7. MTF Table
This can help to decide overall trend on 4 different time frames, which you can choose as per your need. This is being displayed on right top corner.
8. Colours
You can chose colour as per your taste for almost everything. (Buy/Sell Labels, Arrows, EMA, SL/TP Labels etc.. )
Have a Great Trading...
Volumetrix Mean Reversion [by Oberlunar] VolumeTRIX Mean Reversion is a volume-oriented mean-reversion and confirmation indicator built around one core principle: reversal opportunities become higher quality when “price stretch” is not just visible on one feed, but confirmed across venues and supported by internal market pressure.
Mean reversion is often explained with the “rubber band” metaphor, but in real trading, it’s more concrete than that. When price runs too far from a working equilibrium, the market tends to accumulate imbalances: liquidity gets thin in spots, inventories get skewed, and positioning becomes one-sided. Very often, the next meaningful move is not continuation, but a repair move—price coming back toward areas where business was actually done. That doesn’t mean the market must revert every time. It means that when displacement becomes extreme, reversion becomes *plausible*, and sometimes structurally incentivised.
This is why Volumetrix does not treat a single overbought/oversold trigger as a trade. It treats mean reversion as a multi-factor event that needs alignment.
The first pillar is multi-venue consensus. The script can track the same instrument across up to five brokers/exchanges and look for agreement. In crypto and CFDs, a large portion of “signals” are simply microstructure artefacts: isolated wicks, temporary dislocations, exchange-specific liquidity holes, short-lived imbalances.
I believe that a stretch that shows up on one venue may be noise; a stretch that shows up across venues at the same time is far more likely to be structural.
The second pillar is how the indicator defines “stretch.” Volumetrix intentionally blends different families of mean-reversion logic because each one captures a different way markets deviate from equilibrium. Statistical displacement (think Z-score) asks how far the price has moved away from its recent average in volatility units. Anchored equilibrium (VWAP) asks whether the price is trading away from a fair value built on *where volume actually traded*.
Volatility envelopes (Keltner-style bands) translate stretch into something regime-aware: what is “far” in a quiet market is not “far” in a fast one. None of these views is perfect alone, but together they describe displacement in a much more robust way than a single oscillator.
Then comes the part most traders miss: mean reversion is not just a distance problem, it’s a *regime* problem. That is where the Ornstein–Uhlenbeck idea matters. OU is the textbook mean-reverting process: deviations don’t just wander, they tend to be pulled back toward an equilibrium, and the strength of that pull defines how “elastic” the market feels. In trading terms, some environments punish deviations quickly; other environments reward drift and make reversals late and painful.
VolumeTRIX Mean Reversion uses an OU-style bias to estimate that temperament, so the script is not only asking “are we stretched?”, but also “does this market currently behave like it wants to revert, or like it’s comfortable drifting?”
From there, Volumetrix combines four perspectives (the “lanes”) into a single directional decision. The mean-reversion trust lane quantifies stretch and converts it into a normalised confidence. The OU lane adds the regime lens—how mean-reverting the market appears right now. TRIX adds momentum context because fading a move while momentum is still expanding is one of the fastest ways to get chopped up. Finally, the volumetric pressure gate looks at internal buy/sell pressure and asks a practical question: is the move still being *defended*, or is dominance starting to fade?
The real edge is not in any one component. The edge is in how they are forced to agree. Volumetrix allows you to determine the level of strictness in the agreement (All / Majority / Any). That’s an ensemble approach: each lane can be wrong, but they tend to be mistaken in different conditions. When multiple independent views of the market line up, you’re filtering for moments where the signal is less likely to be random and more likely to reflect an actual imbalance that can unwind.
So the question I'm trying to answer with this indicator is simple, and trader-practical: “Are we stretched across venues, is the current regime compatible with reversion (OU-style), is momentum no longer dominating (TRIX), and is volume pressure no longer supporting continuation?” When those answers align, the odds of a usable reversal improve.
Operationally, signals print only on confirmed bars and are hard-constrained to the most liquid global sessions (London and US), because mean-reversion quality tends to degrade in thin windows and produce low-quality signals.
The indicator also includes an internal forward-stat tracker that estimates how often signals reach a reasonable target move within a maximum number of bars. It is not a strategy backtest, and it doesn’t simulate compounding; it’s a calibration tool to compare settings and understand expectancy behaviour without guessing.
As always, this is an indicator, not financial advice. Mean reversion can fail hard in expansion regimes, so risk management and context always come first.
Enjoy!
Oberlunar 👁★
Advanced Scalping Suite v1.0# Advanced Scalping Suite - Quick Reference Guide
## Overview
A comprehensive all-in-one scalping indicator designed for 1-15 minute timeframes that combines multiple technical analysis tools, intelligent signal generation, and automatic market condition detection to help traders identify high-probability entry and exit points.
---
## Core Capabilities
### 1. **Multi-Indicator Analysis**
- **RSI (Relative Strength Index)** - Identifies overbought/oversold conditions with automatic divergence detection for early reversal warnings
- **EMA Ribbon (8/21/55)** - Visual trend identification with color-coded fills showing trend direction and strength
- **VWAP (Volume Weighted Average Price)** - Tracks institutional interest and intraday bias
- **ATR (Average True Range)** - Measures market volatility and filters out low-volatility periods
- **ADX (Average Directional Index)** - Quantifies trend strength (>25 = trending, <25 = range-bound)
- **Higher Timeframe Trend Confirmation** - Aligns trades with larger market direction
### 2. **Intelligent Signal Generation**
The indicator provides three tiers of buy/sell signals:
**STRONG Signals** (3+ confirmations)
- High-probability setups combining RSI extremes, divergences, VWAP position, EMA alignment, and chart patterns
- Best for conservative traders and high-confidence entries
- Includes HTF trend confirmation when enabled
**MEDIUM Signals** (2 confirmations)
- Balanced risk/reward setups for active scalpers
- Good for trend-following entries during established moves
**WEAK Signals** (1 confirmation)
- Early warning signals for aggressive traders
- Useful for quick scalp entries when market momentum is clear
### 3. **Automatic Market Condition Detection**
The indicator intelligently identifies market phases:
**Trending Markets** - Strong directional moves with stacked EMAs and high ADX
- Trades with the trend using momentum signals
- EMA ribbon shows clear green (uptrend) or red (downtrend) fill
**Choppy/Consolidation** - Range-bound price action with compressed EMAs and low ADX
- Yellow background warning alerts you to reduce position size or avoid trading
- Prevents false signals during sideways markets
**Low Volatility** - Insufficient ATR for profitable scalping
- Orange background warning indicates tight price ranges
- Automatically filters signals when volatility is too low
### 4. **Chart Pattern Recognition**
Automatically detects and draws common reversal patterns:
- **Double Tops** - Bearish reversal pattern marked with "DT" label
- **Double Bottoms** - Bullish reversal pattern marked with "DB" label
- Pattern lines drawn directly on chart for visual confirmation
- Contributes to signal strength calculations
### 5. **RSI Divergence Detection**
Identifies powerful leading indicators of trend reversals:
- **Bullish Divergence** - Price makes lower low while RSI makes higher low (marked with diamond)
- **Bearish Divergence** - Price makes higher high while RSI makes lower high (marked with diamond)
- Often precedes major price movements by several candles
### 6. **Real-Time Dashboard**
Top-right info panel displays:
- Current market condition (Trending/Choppy/Consolidation)
- Live RSI, ADX, and ATR% values with color-coded status
- Trend strength assessment (Weak/Moderate/Strong)
- Higher timeframe trend direction (UP ▲ / DOWN ▼ / NEUTRAL)
- Position relative to VWAP (Above ▲ / Below ▼)
- Reversal Probability percentage (0-100%)
- Current active signal status
### 7. **Customizable Alert System**
Built-in alerts for all signal types:
- Strong/Medium/Weak buy and sell signals
- Confirmed signals (candle close confirmation)
- Trend changes and EMA crossovers
- RSI divergences
- Chart pattern detection
- Choppy market warnings
---
## Practical Use Cases
### For Day Traders
- Use on 5-15 minute charts with higher timeframe set to 1H or 4H
- Filter for "Strong Only" or "Medium & Strong" signals
- Enable HTF confirmation to trade with daily trend
- Avoid trading during yellow (choppy) or orange (low volatility) backgrounds
### For Scalpers
- Use on 1-3 minute charts with higher timeframe set to 15-30 minutes
- Enable "All Signals" to catch quick momentum moves
- Watch for weak signals that align with EMA ribbon direction
- Focus on high ATR periods (morning session, news events)
### For Swing Traders
- Use indicator on lower timeframes to fine-tune entries for swing positions
- Wait for "Confirmed Only" signals that align with your swing direction
- Use reversal probability % to gauge timing of position exits
### For Risk Management
- Yellow background = Reduce position size by 50%
- Orange background = Consider sitting out
- Only take signals that have HTF confirmation enabled
- Reversal probability >50% = Prepare to exit or take profits
---
## Key Settings to Adjust
**Signal Filter Options:**
- "All Signals" - See everything (best for experienced traders)
- "Strong Only" - High-probability setups only (conservative)
- "Medium & Strong" - Balanced approach (recommended for most)
- "Confirmed Only" - Wait for candle close (reduces false signals)
**Higher Timeframe:** Set to 3-5x your chart timeframe (e.g., 15-min on 3-min chart, 1H on 15-min chart)
**RSI Period:** 7 for ultra-fast response, 9 for balanced (default), 14 for smoother
**Require HTF Confirmation:** Toggle on to only trade with larger trend (reduces trades, increases win rate)
---
## What Makes This Different
Unlike single-purpose indicators, this suite combines multiple confirmation factors to generate high-probability signals while automatically adjusting to market conditions. It won't spam you with signals during choppy markets, it respects volatility requirements, and it provides clear visual feedback about market state through the EMA ribbon, background colors, and comprehensive dashboard.
The multi-tier signal system allows traders of all styles to use the same tool - conservatives can wait for strong signals, while aggressive scalpers can act on weak signals during confirmed trends. The pattern detection and divergence identification provide additional edge by spotting setups before price action confirms them.
---
## Quick Start Checklist
1. Add indicator to your chart
2. Set Higher Timeframe to 3-5x your chart timeframe
3. Choose your Signal Filter preference (start with "Medium & Strong")
4. Enable "Require HTF Trend Confirmation" for safety
5. Set alerts for your preferred signal types
6. Watch the info panel for market condition changes
7. Avoid trading during yellow/orange backgrounds
8. Take signals that align with EMA ribbon direction
---
**Remember:** No indicator is perfect. This tool is designed to stack probabilities in your favor by combining multiple technical factors, but always use proper risk management, position sizing, and stop losses on every trade.
PREMIUM TRADE ZONES - [EntryLab]PREMIUM Trade Zones was created to help both beginner and advanced traders avoid one of the most common causes of losses: trading during sideways, choppy market conditions.
Sideways price action often occurs around the RSI 50 level, where market indecision is high. This indicator visually highlights a No Trade Zone around that area, encouraging traders to stay patient and avoid low-probability setups. Above and below this zone, clearly defined Short Trade Zones and Long Trade Zones provide additional confluence for potential entries when momentum is more favorable.
Trade Zones is especially useful for traders who may occasionally struggle with discipline — something we all experience — by offering a constant visual reminder of where trading conditions are optimal versus where caution is warranted.
The indicator is fully customizable through the settings panel, allowing users to adjust zone levels, colors, text visibility, and signal elements to suit their individual trading style and strategy. We personally use Trade Zones as an added layer of confluence when market conditions feel uncertain, consistently steering clear of the No Trade Zone where indecision and chop are most likely to occur.
This free indicator was built to support our community in developing better trading habits, improving decision-making, and progressing toward long-term consistency and profitability.
Regards,
ENTRYLAB
Day Trading Signals Trend & Momentum Buy/Sell [CocoChoco]Day Trading Signals: Trend & Momentum Buy/Sell
Overview
The indicator is a comprehensive day-trading tool designed to identify high-probability entries by aligning short-term momentum with long-term trend confluence.
It filters out low-volatility "choppy" markets using ADX and ensures you are always trading in the direction of the dominant higher-timeframe trend.
Important: Use on timeframes from 15 min to 2 hours, as the indicator is for day trading only.
How It Works
The script uses a three-layer confirmation system:
Trend Alignment: Uses a Fast/Slow SMA cross (10/50) on the current chart. Signal prints only if price closes above (for bullish) or below (for bearish) the 10-period SMA.
Higher Timeframe Confluence: The script automatically looks at a higher timeframe (1H for charts <=15m, and 4H for others) and checks if the price is above/below a 200-period SMA.
Momentum & Volatility: Signals are only triggered if the Stochastic Oscillator is rising/falling and the ADX is above 20, ensuring there is enough "strength" behind the move.
Visual Signals Buy/Sell
Green Label (Up Arrow): Bullish entry signal
Red Label (Down Arrow): Bearish entry signal.
Red "X": Exit signal based on a moving average crossover (trend exhaustion).
Visual Risk/Reward (1:1) Boxes: When a signal appears, the script automatically draws a projection of your Stop Loss (Red) and Take Profit (Green) based on the current ATR (Average True Range).
How to Use
Entry: Enter when a Label appears. Ensure the candle has closed to confirm the signal.
Stop Loss/Take Profit: Use the visual boxes as a guide. The default is 1.0 ATR for risk and 1.0 RR ratio, which can be adjusted in the settings.
Exit: Exit the trade either at the target boxes or when the Red "X" appears, indicating the trend has shifted.
Please note that this is just a tool, not financial advice. Perform your own analysis before entering a trade.
QSS v15.0 [Omni-Engine]# **QSS v15.0 | Institutional Quant System**
### **💎 The Only Indicator You Will Ever Need**
**QSS (Quantitative Signal System) v15.0** is an all-in-one algorithmic trading engine designed to solve the biggest problem in trading: **fragmentation.** Instead of cluttering your chart with 10 different indicators (RSI, MACD, Bollinger Bands, Order Blocks, SuperTrend, etc.), QSS synthesizes them all into a single, high-probability decision engine.
This is not just a "Buy/Sell" indicator. It is a complete **Institutional Trading Suite** that combines "Smart Money Concepts" (SMC) with quantitative trend analysis and dynamic risk management.
---
### **🚀 Key Features**
#### **1. Dual-Core Signal Engine**
Choose your weapon based on the asset class and volatility:
* **Engine A: SuperTrend (Classic):** The industry standard for capturing major trends. Best for Swing Trading and Stocks.
* **Engine B: OTT (Optimized Trend Tracker):** A faster, volatility-adaptive engine derived from VIDYA (Variable Index Dynamic Average). Best for Crypto and Scalping.
#### **2. Institutional Intelligence (SMC)**
* **Volumized Order Blocks (SMC):** Automatically detects Supply (Red Box) and Demand (Green Box) zones based on pivot volume.
* *Smart Filter:* The system will **BLOCK** Buy signals if price is running straight into a Bearish Order Block (Resistance).
* **Koncorde (Smart Money Flow):** Analyzes PVI (Positive Volume Index) vs. NVI (Negative Volume Index) to track "Sharks" (Institutions) vs. "Minnows" (Retail).
* *Smart Filter:* Signals are only generated if Institutional Money Flow supports the direction.
#### **3. The "Power 3" Confirmation Suite**
Includes optional filters for the classic trinity of technical analysis:
* **MACD:** Ensures momentum alignment.
* **Stochastic:** Prevents buying at overbought peaks.
* **Bollinger Bands:** Ensures trades only occur during volatility expansion (Squeeze breakout).
#### **4. Advanced Noise Filtering**
* **ADX Trend Strength:** Blocks signals during "dead" or choppy markets (ADX < 20).
* **Candle Stability Index:** Ignores "wicky" candles and indecision dojis, preventing fake-outs.
* **Trend Ribbon:** A dual-SMA cloud (21/34) that ensures you are always on the right side of the macro trend.
#### **5. Dynamic Risk Management (R:R)**
* Automatically calculates **Stop Loss** and **Take Profit** targets based on market volatility (ATR).
* **TP1 (1:1):** Secure profit / Move stops to breakeven.
* **TP2 (1:2):** Standard target.
* **TP3 (1:3):** Trend runner.
* *Visuals:* Draws clear entry, stop, and target lines on the chart when a trade is active.
#### **6. Pro Dashboard**
A dynamic panel that monitors:
* **Trend Status:** (Bullish/Bearish)
* **Market State:** (Trending/Parabolic/Ranging)
* **Smart Money:** (Accumulating/Distributing)
* **Live Trade Data:** Real-time entry price and targets when a position is open.
---
### **🛠️ Settings Guide**
**🔥 SIGNAL ENGINE**
* **Strategy Engine:** Toggle between `SuperTrend` (Safe) or `OTT` (Fast).
**🧱 ORDER BLOCK FILTER**
* **Respect Order Blocks:** If checked, the system will not Buy into Resistance or Sell into Support.
* **Show OB Zones:** Toggles the visible Red/Green boxes on the chart.
**📊 QUANT FILTERS**
* **Smart Money (Sharks):** Requires Volume data. Filters out "Retail Traps."
* **ADX (Trend Strength):** Set to `20` for standard filtering. Set to `15` for aggressive scalping.
* **Candle Stability:** Filters out candles with long wicks. Essential for volatile Altcoins.
**📈 CLASSIC INDICATORS**
* **MACD / Stoch / BB:** Enable these if you want strict confluence. (Note: Enabling all will result in fewer, but higher precision signals).
**🛡️ RISK MANAGEMENT**
* **ATR Length:** Sensitivity of the volatility calculation.
* **SL Multiplier:** Distance of Stop Loss (Default 2.0x ATR for Crypto).
* **TP Multipliers:** Adjust your Risk:Reward ratios here.
---
### **💡 How to Trade with QSS v15**
1. **The Setup:**
* Wait for a **"BUY"** or **"SELL"** label to appear.
* Ensure the **Trend Ribbon** (Cloud) matches the signal color.
* Check the **Dashboard**: Ensure "Smart Money" is in your favor (Accumulation for Buys).
2. **The Execution:**
* Enter at the **Entry Price** shown on the chart.
* Place your Stop Loss at the **Red Line**.
* Take partial profits at the **Blue Dotted Lines** (TP1/TP2).
3. **Troubleshooting (Debug Mode):**
* If you see the SuperTrend/OTT flip colors but **NO signal** appears, turn on **"🔧 Debug Mode"** in the settings.
* Grey labels will appear on the chart explaining exactly *why* the trade was rejected (e.g., "⛔ REJECTED: Hitting OB Resistance" or "⛔ REJECTED: Low ADX").
---
**Disclaimer:**
*This indicator is a tool for analysis, not financial advice. It combines multiple quantitative metrics to provide high-probability setups, but no system is 100% accurate. Always use proper risk management.*
**Credits:**
* OTT Logic based on Anıl Özekşi.
* Koncorde Logic based on Blai5.
* SMC Order Block logic adapted from FluxCharts concepts.
* Synthesized and Optimized by rayu8.
5 Layer Script P3 Signals Package Signals,Upgrades ,TargetsThis script is a confirmation-based signals framework designed to highlight high-probability moments of intent, not predictive entries. It is built to work in alignment with higher-timeframe context, particularly midpoint equilibrium, structure, and session behavior. The framework has 5 conditions and if you look closes it includes the number out of 5 of the conditions met. This can be adjusted in the settings.
The Signals Package focuses on identifying reaction based confirmations after price reaches key areas such as equilibrium/ midpoint levels, prior range boundaries, or structural zones. Signals are only generated once conditions are met
How it works
- Signals are derived from price interaction, not indicators stacked on indicators
- Conditions require confirmation, not anticipation
- Signals appear only after a valid reaction or shift in behavior is detected
- No repainting once a signal is printed
Theres an additional tool that youll see , when you first use it you will see lines, just fix in setting and enable dots. These are youre price targets that tends to fil either next candle or down the road depending on timeframe and market structure.
How to use it
-Use signals after price reaches a higher-timeframe level (midpoint, range high/low, or liquidity area)
-Treat signals as execution confirmation, not bias
-Best used on lower timeframes while respecting 4H / Daily / Weekly context
-Signals can be used for:
-Entry confirmation
-Partial entries
-Scaling or risk management decisions
EXTRAS
This is not just a buy and sell signal. This is confirmation tool and not every trade is 100% that should be obvious.
You'll tend to see some signals that will show that they have bee upgraded automatically because more conditions were meant. Dont be careless and have fun.
Fourier Smoothed Volume Zone Oscillator Forecast [QuantAlgo]🟢 Overview
Volume tells the story that price alone cannot. When thousands of contracts change hands on an upward move versus a handful on a downward drift, the market communicates something meaningful about conviction and participation. The Fourier Smoothed Volume Zone Oscillator (FSVZO) captures this relationship by measuring directional volume flow, producing readings that reveal whether buyers or sellers control the tape with genuine commitment. Building on this foundation, this FSVZO Forecast indicator adds a forward-looking dimension through three distinct projection engines: a market structure model that interprets swing dynamics, a volume-weighted approach that examines accumulation and distribution flows, and a linear regression method that extrapolates recent directional behavior. What distinguishes this implementation is its dual forecasting architecture. Since FSVZO fundamentally depends on the interplay between price movement and volume activity, the indicator projects both elements independently before calculating future oscillator values, creating coherent framework for mean reversion trading across multiple asset classes and timeframes, from intraday scalping on liquid futures to swing trading equities and cryptocurrencies.
🟢 How It Works
The indicator begins by calculating a Volume Zone Oscillator using a directional volume approach: it multiplies volume by the sign of price change (positive when price rises, negative when price falls), applies a weighted moving average to this directional volume, then divides by a simple moving average of total volume. The result scales to a percentage, typically oscillating between -100 and +100, with readings beyond these levels indicating exceptional momentum conditions. Multiple smoothing passes, including a triple-smoothed SMA sequence and optional additional smoothing, reduce noise while preserving meaningful signals.
The forecasting mechanism operates through a two-stage process that distinguishes this indicator from simpler projection tools. First, the system estimates future price levels using the selected forecasting method. Second, it independently projects future volume using one of three volume models: average (baseline historical volume), momentum (volume adjusted for recent acceleration or deceleration), or mean reversion (volume gravitating toward longer-term norms). These dual projections then feed into a simulated FSVZO engine that replicates the actual oscillator's mathematics, calculating directional volume relationships and applying identical smoothing operations to produce projected values.
Since momentum oscillators rarely travel in straight lines, the projection system incorporates dynamic price oscillation. This mechanism draws from stored patterns of recent price changes, applies mathematical wave functions tied to current volatility conditions, and factors in momentum characteristics to create natural-looking forecast trajectories. The Price Volatility input allows traders to adjust the degree of fluctuation in projections. Higher settings produce more waviness, while lower settings generate smoother trend-like forecasts. The complete system generates up to 20 bars of projected FSVZO and MA values, rendered as dashed lines extending beyond current price action.
🟢 Key Features
1. Market Structure Model
This projection method analyzes price action through the lens of swing point dynamics and structural shifts. The algorithm identifies pivot highs and pivot lows within a configurable lookback range, then evaluates whether the market exhibits bullish characteristics (successive higher highs and higher lows) or bearish patterns (successive lower highs and lower lows). When price breaks previous swing levels, the model recognizes these as potential changes of character that inform projection direction.
Price forecasts under this model incorporate proximity analysis to key structural levels and aggregate trend strength, measured by counting trend-confirming swings across recent history. Bullish structure combined with price near support zones biases projections upward, generating forecasted FSVZO readings that reflect potential buying momentum. Bearish structure near resistance creates downward-biased projections. ATR scaling keeps projections proportional to current market volatility.
▶ Practical Implications:
Designed for traders who build strategies around support, resistance, and swing-based entries
Structure-based projections provide context around pivot zones where FSVZO direction changes may coincide with price reactions
Can help visualize potential divergence setups as structural shifts in price may precede FSVZO direction changes
Shows how FSVZO projections shift based on proximity to detected swing highs and lows
Works best when markets display clear directional swings rather than choppy consolidation
May produce less useful output during extended consolidation phases with overlapping swing points
Day traders can combine structural projections with session pivots for intraday momentum context
2. Volume-Weighted Model
This method synthesizes multiple volume indicators to construct informed price projections that subsequently drive FSVZO forecasts. The algorithm tracks On-Balance Volume to measure cumulative buying and selling pressure over time, monitors the Accumulation/Distribution Line to assess where price settles within each bar's range relative to volume, and computes volume-weighted returns that emphasize high-activity price movements. Directional slopes of these metrics reveal whether volume patterns confirm or contradict prevailing price direction.
Significant volume spikes receive heightened attention, with their directional bias incorporated into forecast calculations. When OBV slope, A/D line slope, and volume momentum align in the same direction, the model generates more assertive price projections, translating to stronger FSVZO movements. Conflicting volume signals produce dampened projections, suggesting FSVZO may consolidate rather than extend. The Volume Influence parameter allows traders to weight how heavily volume analysis affects the final projection versus pure price trend extrapolation.
▶ Practical Implications:
Designed for traders who incorporate volume confirmation into their analysis
Helps identify whether current price moves are accompanied by supportive volume patterns
Volume-based projections can provide additional context when evaluating divergences between price and momentum
Best suited for instruments with meaningful volume data
Swing traders can assess whether breakout moves show volume commitment
3. Linear Regression Model
The most mathematically direct of the three approaches, linear regression fits an optimal straight line through recent price data using least-squares methodology and extends that trajectory forward. These projected prices, combined with volume forecasts, generate corresponding FSVZO projections without conditional market interpretation or structural analysis. The forecast simply addresses one question: if price continues at its current rate of change with projected volume conditions, where would FSVZO readings be in upcoming bars?
▶ Practical Implications:
Functions well during sustained, orderly trends where price progression remains relatively linear
Responds more slowly to sudden directional shifts or volatility regime changes
Works effectively on higher timeframes where trends develop more gradually
Useful benchmark for comparing against structure or volume models to gauge projection differences
🟢 Universal Applications Across All Models
Regardless of which forecasting method you select, the FSVZO Forecast indicator projects future oscillator positions that may assist with:
▶ Mean Reversion Trading at Extreme Zones: FSVZO displays defined overbought and oversold territories that create potential mean reversion opportunities. When FSVZO enters these upper or lower extremes, traders can monitor for potential exhaustion and reversal setups as the oscillator moves back toward neutral. Projections add a timing dimension to this analysis by showing where FSVZO may travel in upcoming bars, allowing traders to anticipate when the oscillator might approach or exit extreme zones.
▶ Trend Following with the Colored Band: The filled band between FSVZO main line and offset line delivers immediate trend visualization across all forecast models. Green coloring indicates rising FSVZO (current value higher than previous = long/buy opportunity), while red coloring indicates falling FSVZO (current value lower than previous = short/sell opportunity). This visual system provides quick reference for current momentum direction. For trend following applications, traders can monitor band color for directional bias and watch for color transitions as potential warning signals. Projections extend this visualization into future bars, showing whether the forecast anticipates continued momentum or potential direction changes. Combining band direction with FSVZO's position relative to zero provides layered context: green band above zero suggests bullish momentum, red band below zero suggests bearish momentum, while mixed readings suggest transitional conditions.
▶ Divergence Detection: Built-in divergence scanning identifies regular (R label) and hidden (H label) divergences between price and FSVZO. Regular divergences occur when price makes a higher high while FSVZO makes a lower high (bearish) or price makes a lower low while FSVZO makes a higher low (bullish). Hidden divergences signal potential trend continuation. Projections can provide context for whether developing divergences might continue or resolve.
▶ Signal Line Crossovers: The indicator tracks crossovers between FSVZO and its moving average. Crossovers from below occur when FSVZO rises above the MA, while crossovers from above occur when FSVZO falls below the MA. Projections may help anticipate when these crossovers could occur.
▶ Zero Line Analysis: FSVZO crossing above zero indicates a shift to positive directional volume flow. Crossing below zero indicates a shift to negative directional volume flow. Projections can show whether the oscillator may approach or cross the zero line in upcoming bars.
▶ White Noise Filtering: The optional Ehlers White Noise overlay displays an additional oscillator that measures the degree of randomness in price movement. This can help identify periods when price movements lack clear directional commitment, providing context for when momentum signals may be less meaningful.
▶ Multi-Model Comparison: Running different projection methods and noting where they agree or disagree provides additional analytical context. When multiple methods project similar trajectories, this alignment may warrant special attention.
▶ Trade Management: Reference projected FSVZO levels when planning stops, position adjustments, or profit targets based on anticipated momentum conditions.
🟢 Important Considerations
▶ This indicator requires volume data to function correctly. Instruments that do not report volume or report unreliable volume data will produce meaningless or zero readings.
▶ These forecasts derive from mathematical analysis of recent price and volume behavior. Markets operate as dynamic systems influenced by countless factors that no technical indicator can fully anticipate. Projected FSVZO values represent potential momentum scenarios based on current conditions, and actual readings may follow different paths than those visualized. Historical tendencies and mathematical extrapolations provide no guarantee of future market behavior. Consider these projections as one component within a comprehensive trading methodology that includes disciplined risk management, appropriate position sizing, and multiple analytical perspectives. The primary value of this script lies not in expecting precise forecasts but in developing forward-looking awareness of possible market conditions and structuring your trades accordingly.
Momentum Oscillator [Scalping-Algo]Momentum Oscillator
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What is this?
A momentum indicator that shows when price might reverse or continue. It's like MACD but with extra filters so you get fewer fake signals.
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The Components
① OSCILLATOR (Cyan/Magenta line)
The main line. Goes up = bullish momentum. Goes down = bearish momentum.
② SIGNAL LINE (Yellow/Orange line)
A smoothed version. When oscillator crosses it, momentum is shifting.
③ HISTOGRAM (Green/Red bars)
Shows momentum strength. Bigger bars = stronger momentum. Shrinking bars = momentum dying.
④ BLUE CIRCLE
Bullish cross. Oscillator just crossed above signal line.
⑤ YELLOW CIRCLE
Bearish cross. Oscillator just crossed below signal line.
⑥ TRIANGLES
▲ Green = Buy signal (all filters passed)
▼ Red = Sell signal (all filters passed)
⑦ DASHED LINES
Forecast. Where the indicator might go next. Just a guess based on recent movement.
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How to Trade It
Entry:
- Wait for triangle signal (not just circles)
- Check bars are growing in your direction
- Make sure price agrees with momentum
Exit:
- Bars start shrinking = momentum fading
- Opposite color circle appears = momentum shifting
- Take profit before reversal
Avoid:
- Trading against higher timeframe trend
- Signals when bars are tiny
- Choppy sideways markets
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Reading the Chart
Green bars getting bigger → momentum building up → price likely continues up
Green bars getting smaller → momentum fading → watch for reversal
Red bars getting bigger → selling pressure increasing → price likely drops
Red bars getting smaller → selling exhausted → watch for bounce
Circles show every cross. Triangles only show when multiple things align.
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Quick Settings Guide
Want more signals? Lower the volume filter
Want fewer signals? Raise the volume filter
Too many fakeouts? Turn on HTF filter
Missing moves? Lower the min histogram size
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Limitations
This won't predict the future. The forecast is just math projection, not magic. Markets can reverse anytime. Always use stop losses. Test on demo first.
Uses standard stuff (EMA, RSI, VWAP) combined in a specific way. Nothing revolutionary, just filtered momentum.
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That's it. Watch the bars, wait for triangles, manage your risk.
Market Divergence Index (MDI)MDI - Specialized indicator for BTC, ETH and dominance analysis.
⚠️ FREE BETA - Временный открытый доступ для тестирования
Recommended pairs:
• BTC/USDT or ETH/USDT → Benchmark: USDT.D
• USDT.D → Benchmark: BTC
Adjust Quality Threshold (1-10) for signal filtering.
📱 Telegram: @belfort94
Shadows, by Paragon Signals"Shadows" is a momentum indicator with a twist: Instead of reading raw price at face value, it focuses on moves that look more intentional, then measures momentum through a MACD-style lens. It includes filters to avoid getting baited by chop or dead market conditions, a directional state so it doesn’t flip on noise, and a quality score as a quick “is this clean or messy?” check.
Quick use:
a) Check the quality score first: high = cleaner context, low = noise.
b) Follow the directional bias: bullish → favor longs, bearish → favor shorts.
L / S= suggested entry when everything lines up. **XL / XS** = exit when momentum fades or bias flips.
* You can also use the **colored lines** as signals on their own ( blue-longs, red-shorts) —not just the entry/exit markers—since they help you read momentum and direction in real time.
Great for 15m TF (crypto perp)
About me: Quant trader with years in the game, building a new project and using Pine Script as a sandbox/proyect. I’m also a data scientist and Python developer, eat, sleep, and breathe markets is mandatory lol ( jk ). Outside trading, my second passion is football (watching it and playing it).
a = "peace out"
print(a)
[CyberPips] Trend and SignalsTrend and Signals Suite is a trend-following analysis indicator designed to help traders identify directional bias and potential market shifts.
The script combines:
• An adaptive ATR-based trend framework
• Optional signal filtering using volume, momentum, and volatility conditions
• Visual EMA cloud layers to provide trend alignment and pullback context
• Optional bar coloring for quick directional awareness
Signals generated by this indicator are intended for analytical and educational purposes only. They may update on the currently forming candle and should not be interpreted as guaranteed trade entries or financial advice.
This tool is designed to support discretionary decision-making and does not provide performance guarantees.
Fractal Market Geometry [JOAT]
Fractal Market Geometry
Overview
Fractal Market Geometry is an open-source overlay indicator that combines fractal analysis with harmonic pattern detection, Fibonacci retracements and extensions, Elliott Wave concepts, and Wyckoff phase identification. It provides traders with a geometric framework for understanding market structure and identifying potential reversal patterns with multi-factor signal confirmation.
What This Indicator Does
The indicator calculates and displays:
Fractal Detection - Identifies fractal highs and lows using Williams-style pivot analysis with configurable period
Fractal Dimension - Calculates market complexity using range-based dimension estimation
Harmonic Patterns - Detects Gartley, Butterfly, Bat, Crab, Shark, Cypher, and ABCD patterns using Fibonacci ratios
Fibonacci Retracements - Key levels at 38.2%, 50%, and 61.8%
Fibonacci Extensions - Projection level at 161.8%
Elliott Wave Count - Simplified wave counting based on pivot detection (1-5)
Wyckoff Phase - Volume-based phase identification (Accumulation, Markup, Distribution, Neutral)
Golden Spiral Levels - ATR-based support and resistance levels using phi (1.618) ratio
Trend Detection - EMA crossover trend identification (20/50 EMA)
How It Works
Fractal detection uses a configurable period to identify swing points:
detectFractalHigh(simple int period) =>
bool result = true
float centerVal = high
for i = 0 to period - 1
if high >= centerVal or high >= centerVal
result := false
break
Harmonic pattern detection uses Fibonacci ratio analysis between swing points. Each pattern has specific ratio requirements:
Gartley: AB 0.382-0.618, BC 0.382-0.886, CD 1.27-1.618
Butterfly: AB 0.382-0.5, BC 0.382-0.886, CD 1.618-2.24
Bat: AB 0.5-0.618, BC 1.13-1.618, CD 1.618-2.24
Crab: AB 0.382-0.618, BC 0.382-0.886, CD 2.24-3.618
Shark: AB 0.382-0.618, BC 1.13-1.618, CD 1.618-2.24
Cypher: AB 0.382-0.618, BC 1.13-1.414, CD 0.786-0.886
Wyckoff phase detection analyzes volume relative to price movement:
wyckoffPhase(simple int period) =>
float avgVol = ta.sma(volume, period)
float priceChg = ta.change(close, period)
string phase = "NEUTRAL"
if volume > avgVol * 1.5 and math.abs(priceChg) < close * 0.02
phase := "ACCUMULATION"
else if volume > avgVol * 1.5 and math.abs(priceChg) > close * 0.05
phase := "MARKUP"
else if volume < avgVol * 0.7
phase := "DISTRIBUTION"
phase
Signal Generation
Signals use multi-factor confirmation for accuracy:
BUY Signal: Fractal low + Uptrend (EMA20 > EMA50) + RSI 30-55 + Bullish candle + Volume confirmation
SELL Signal: Fractal high + Downtrend (EMA20 < EMA50) + RSI 45-70 + Bearish candle + Volume confirmation
Pattern Detection: Label appears when harmonic pattern completes at current bar
Dashboard Panel (Top-Right)
Dimension - Fractal dimension value (market complexity measure)
Last High - Most recent fractal high price
Last Low - Most recent fractal low price
Pattern - Current harmonic pattern name or NONE
Elliott Wave - Current wave count (Wave 1-5) or OFF
Wyckoff - Current market phase or OFF
Trend - BULLISH, BEARISH, or NEUTRAL based on EMA crossover
Signal - BUY, SELL, or WAIT status
Visual Elements
Fractal Markers - Small triangles at fractal highs (down arrow) and lows (up arrow)
Geometry Lines - Dashed lines connecting the most recent fractal high and low
Fibonacci Levels - Clean horizontal lines at 38.2%, 50%, and 61.8% retracement levels
Fibonacci Extension - Horizontal line at 161.8% extension level
Golden Spiral Levels - Support and resistance lines based on ATR x 1.618
3D Fractal Field - Optional depth layers around swing levels (OFF by default)
Harmonic Pattern Markers - Small diamond shapes when Crab, Shark, or Cypher patterns detected
Pattern Labels - Text label showing pattern name when detected
Signal Labels - BUY/SELL labels on confirmed multi-factor signals
Input Parameters
Fractal Period (default: 5) - Bars on each side for fractal detection
Geometry Depth (default: 3) - Complexity of geometric calculations
Pattern Sensitivity (default: 0.8) - Tolerance for pattern ratio matching
Show Fibonacci Levels (default: true) - Display retracement levels
Show Fibonacci Extensions (default: true) - Display extension level
Elliott Wave Detection (default: true) - Enable wave counting
Wyckoff Analysis (default: true) - Enable phase detection
Golden Spiral Levels (default: true) - Display spiral support/resistance
Show Fractal Points (default: true) - Display fractal markers
Show Geometry Lines (default: true) - Display connecting lines
Show Pattern Labels (default: true) - Display pattern name labels
Show 3D Fractal Field (default: false) - Display depth layers
Show Harmonic Patterns (default: true) - Display pattern markers
Show Buy/Sell Signals (default: true) - Display signal labels
Suggested Use Cases
Identify potential reversal zones using harmonic pattern completion
Use Fibonacci levels for entry, stop-loss, and target planning
Monitor Wyckoff phases for accumulation/distribution awareness
Track Elliott Wave counts for trend structure analysis
Use fractal dimension to gauge market complexity
Wait for multi-factor signal confirmation before entering trades
Timeframe Recommendations
Best on 1H to Daily charts. Lower timeframes produce more fractals but with less significance. Higher timeframes provide stronger levels and more reliable signals.
Limitations
Harmonic pattern detection uses simplified ratio ranges and may not match all textbook definitions
Elliott Wave counting is basic and does not include all wave rules
Wyckoff phase detection is volume-based approximation
Fractal dimension calculation is simplified
Signals require fractal confirmation which has inherent lag equal to the fractal period
Open-Source and Disclaimer
This script is published as open-source under the Mozilla Public License 2.0 for educational purposes. It does not constitute financial advice. Past performance does not guarantee future results. Always use proper risk management.
- Made with passion by officialjackofalltrades
Volume Anomaly Reversal DetectionVolume Anomaly Reversal Detection (VARD System)
🎯 What This Indicator Does
This indicator identifies potential trend reversals by detecting abnormal volume activity that often precedes significant price movements. It combines volume anomaly detection with dynamic trend analysis to generate actionable BUY/SELL signals.
📊 Core Concept & Methodology
Volume Anomaly Detection
The indicator analyzes directional volume (buying vs selling pressure) from a lower timeframe and calculates Z-scores to identify statistically significant volume spikes.
Z-Score Formula:
Z = (Current Volume - Average Volume) / Standard Deviation
When volume exceeds the threshold (default: 3 standard deviations above mean), it signals unusual market activity - often caused by forced liquidations or capitulation.
Dynamic Trend Filter
A custom trend-following algorithm based on ATR (Average True Range) bands determines the current market direction:
Price above lower band = Uptrend
Price below upper band = Downtrend
Signal Logic
Volume anomaly detected during an existing trend
Trend reversal confirmed within the confirmation window
Signal generated = BUY or SELL label appears
⚙️ Settings Explained
SettingDefaultDescriptionAnalysis Timeframe15minLower timeframe for volume samplingStatistical Lookback200Bars used for Z-score calculationAnomaly Sensitivity3.0Z-score threshold (lower = more signals)Confirmation Window50Max bars between anomaly and trend flipATR Multiplier2.0Trend band widthTrend Period10ATR calculation length
📖 How To Use
Entry Signals
BUY: Green label appears below bar - consider long positions
SELL: Red label appears above bar - consider short positions
Volume Anomaly Markers (⬥)
Small diamonds indicate detected volume spikes
These are early warnings before confirmed signals
Useful for anticipating potential reversals
Trend Bands
Colored zones show active signal direction
Stay with the trend until opposite signal appears
Best Practices
Confirm with price action - Look for support/resistance levels
Use appropriate timeframes - Works on all timeframes, but 1H-4H recommended
Manage risk - Always use stop losses
Avoid ranging markets - Best in trending/volatile conditions
⚠️ Important Notes
No indicator is perfect - Use as part of a complete trading strategy
Volume data required - Will show warning if volume unavailable
Not financial advice - Always do your own research
🔔 Alerts Available
BUY Signal Confirmed
SELL Signal Confirmed
Volume Anomaly (Buy Setup)
Volume Anomaly (Sell Setup)
Liquidity Analysis ProLIQUIDITY ANALYSIS PRO - Smart Money Concepts Trading Indicator
Automated liquidity zone detection and SMC-based trading signals for professional traders.
KEY FEATURES:
✅ Automatic Liquidity Zone Detection (swing highs/lows)
✅ SMC Trading Signals (BUY/SELL with displacement detection)
✅ Liquidity Strength Analysis (volume, touches, time)
✅ Next Target Prediction (untaken liquidity zones)
✅ Exhaustion Detection (reversal alerts)
✅ Zone Merging (optional, reduces clutter)
✅ Trend Filter (EMA-based)
✅ Real-Time Info Dashboard
HOW IT WORKS:
- Identifies liquidity zones where stop orders cluster
- Detects when zones are swept (liquidity taken)
- Generates signals after displacement (strong move)
- Predicts next price targets
- Tracks zone strength and exhaustion
SIGNAL LOGIC:
BUY: Low zone swept → upward displacement → signal
SELL: High zone swept → downward displacement → signal
CUSTOMIZABLE SETTINGS:
- Swing length (5-50 bars)
- Zone width (ATR multiplier)
- Displacement bars & threshold
- Strength weights (volume/touches/time)
- Trend filter (EMA periods)
- Colors and display options
WORKS ON ALL TIMEFRAMES: 1m to Monthly
Perfect for swing trading, day trading, and position trading. Built on proven Smart Money Concepts principles.
Next Candle PredictorAdvanced TradingView Indicator for Precise Buy and Sell Signals
Overview:
The Predicta Futures - Next Candle Predictor is a cutting-edge TradingView indicator designed to forecast the next candle's direction in futures and cryptocurrency markets. Leveraging a multi-indicator confluence strategy, this tool provides traders with actionable long and short prediction percentages, enhanced by dynamic ADX-based thresholds and visual projection candles. Ideal for scalping, day trading, or swing trading on platforms like MEXC or Binance futures, it combines Supertrend, MACD, RSI, Stochastic, ADX, and volume analysis to deliver high-probability buy and sell signals while minimizing false positives.
Key Features:
• Multi-Indicator Confluence Scoring:
Integrates Supertrend for trend direction, EMAs (8, 21, 50) for alignment, MACD for momentum crossovers, RSI for overbought/oversold conditions, Stochastic for divergence detection, ADX for trend strength, and volume ratios for confirmation. A customizable confluence score (0-6) ensures signals meet user-defined criteria, reducing whipsaws in volatile markets.
• Dynamic Prediction Thresholds:
ADX-driven adjustments lower the required prediction percentage (e.g., 60% in strong trends) for "PERFECT TIME" entries, adapting to market conditions like ranging or trending phases.
• Visual Analysis Table:
A sleek, color-coded dashboard displays progress bars for each indicator, prediction percentages, and status (e.g., "PERFECT TIME" or "WAIT"). Supports long and short analyses with intuitive ASCII bars for quick scans.
• Projection Candles:
Simulates potential next-candle outcomes with volatility-scaled (via Bollinger Bands width) green long and red short candles, aiding in visualizing price targets.
• Buy/Sell Signals and Alerts:
Generates labeled "BUY" and "SELL" arrows on EMA crossovers within confirmed trends, with separate alerts for basic signals and high-confluence "PERFECT TIME" opportunities.
• Customizable Inputs:
Adjust ATR periods, Supertrend factors, minimum confluence scores, and volume ratios to tailor the indicator for stocks, forex, or crypto perpetual futures.
How It Works:
This TradingView script calculates long and short scores using weighted contributions from key indicators, normalizing them into prediction percentages. A confluence check—factoring trend, EMA alignment, MACD, Stochastic, volume, and ADX—triggers "PERFECT TIME" only when conditions align robustly. For example:
• In a downtrend (Supertrend red), with bearish MACD and Stochastic, and sufficient volume, the indicator highlights short opportunities.
• Dynamic thresholds ensure aggressive entries in strong trends (ADX >25) and conservative ones in weak trends.
• Backtested for reliability, it excels in identifying reversals and continuations, making it a must-have for traders seeking an edge in futures trading strategies.
Usage Instructions:
1. Add the indicator to your TradingView chart. (Search: Next Candle Predictor)
2. Customize settings via the inputs panel (e.g., set minConfluence to 5 for stricter signals).
3. Monitor the analysis table for predictions and confluence scores.
4. Act on "BUY/SELL" labels or "PERFECT TIME" alerts, combining with your risk management.
5. Enable projection candles for visual forecasting of the next bar.
Compatible with all timeframes, from 1-minute scalping to daily swings. Note: This is not financial advice; always verify signals with additional analysis.
Join thousands of traders enhancing their strategies—add it to your charts today and elevate your trading performance!
Please rate and review if it boosts your trades!
Thank you!
Equilibrium Reversal Channel [BOSWaves]Equilibrium Reversal Channel - Volatility-Based Risk Geometry for Mean Reversion Scenarios
Overview
The Equilibrium Reversal Channel is a volatility-weighted price channel designed to highlight statistically stretched price conditions and assist traders in identifying mean-reversion opportunities within broader market structure. The indicator is not intended to predict market direction in isolation, but rather to contextualize price movement relative to volatility, trend balance, and exhaustion zones.
At its foundation, this tool operates on the assumption that price oscillates around a dynamic equilibrium. When price deviates too far from that equilibrium - particularly under expanding volatility - the probability of a reaction, pause, or reversal increases. The Reversal Channel visualizes these deviations clearly, continuously, and without relying on fixed thresholds or static support/resistance levels.
This indicator is best used as a contextual framework, not as a standalone trading system. Its strength lies in defining where reactions are statistically more likely to occur and when price has moved far enough to warrant caution or contrarian attention.
Use Cases
Primary Use Case 1: Volatility-Anchored Trade Framing (TP / SL Construction)
The Equilibrium Reversal Channel is used to construct trade reference levels directly from live market structure and volatility behavior, rather than from arbitrary price distances.
Stop invalidation is framed around the outer displacement boundary. This boundary represents the point at which price is no longer statistically stretched but instead entering a new volatility regime, invalidating the original mean-reversion premise. In other words, if price accepts beyond this zone, the imbalance thesis is structurally broken.
Take-profit projections are derived from measured rebalancing paths back toward equilibrium, scaled using configurable payoff ratios. These projections reflect how far price typically resolves once imbalance conditions unwind, rather than relying on fixed targets or discretionary exits.
This use case turns the channel into a risk geometry tool — defining where a trade idea is wrong, where resolution is likely to occur, and whether the opportunity offers asymmetric payoff before capital is committed.
Primary Use Case 2: Identifying Statistically Stretched Price Conditions
The second core function of the Reversal Channel is identifying when price is operating far enough from its volatility-adjusted balance state to justify contrarian attention.
Sustained interaction with the outer displacement zones signals that price has entered a statistically inefficient regime. Continuation may still occur, but the marginal return on momentum decreases while reaction probability increases. The channel highlights these conditions in real time, without relying on fixed thresholds or static reference levels.
Rather than predicting reversals, this framework defines where continuation becomes fragile and where rebalancing pressure historically emerges - particularly when reinforced by higher-timeframe structure or liquidity context.
Central Basis Line (Market Equilibrium)
At the core of the Reversal Channel is a dynamically adaptive balance line derived from recent price behavior. This line represents the market’s evolving equilibrium - the point around which price naturally oscillates under normal conditions.
The balance calculation prioritizes recent market information while maintaining smooth continuity, allowing it to adjust efficiently as conditions change without overreacting to short-term noise. Rather than acting as a directional signal, this axis serves as a reference framework for measuring price displacement, volatility expansion, and rebalancing pressure.
Extended acceptance above the equilibrium suggests sustained bullish pressure, while prolonged activity below reflects bearish dominance. However, the Reversal Channel is intentionally agnostic to directional bias - its focus is on distance from balance, not trend prediction.
Volatility-Weighted Channel Construction
Surrounding the equilibrium line are three upper and three lower displacement bands, each derived from a real-time volatility normalization process. This process measures actual market expansion and contraction rather than relying on static price offsets, allowing the channel to adapt fluidly across assets, sessions, and regime shifts.
Each successive band represents an increasing degree of statistical displacement from equilibrium:
The first tier reflects mild volatility expansion
The second tier captures elevated deviation
The outer tier represents extreme statistical stretch
Because the channel geometry is volatility-responsive, it expands during high-energy conditions and contracts during quieter phases. This prevents structural distortion - avoiding channels that are either too restrictive in low volatility or meaningless during aggressive expansion.
To maintain visual coherence and structural continuity, displacement boundaries are processed through a secondary smoothing mechanism. This refinement preserves volatility information while ensuring the channel flows naturally with price action instead of reacting mechanically to isolated candles.
Zone Interpretation (Green, Yellow, Red)
The channel is visually segmented into three color-coded zones on both the upper and lower side of the basis. These zones are not signals - they are probability regions.
The green zone, closest to the basis, represents normal price fluctuation. Price entering this area does not imply exhaustion or reversal; it simply reflects routine movement around equilibrium.
The yellow zone indicates price is becoming extended. Momentum may still continue, but risk increases. This zone often corresponds with late-trend behavior, reduced reward-to-risk for continuation trades, and early contrarian interest.
The red zone represents extreme deviation relative to recent volatility. Price reaching this area suggests the market is operating far from equilibrium. While reversals are not guaranteed, this zone statistically favors slowing momentum, rejection, or reversion, especially when combined with structural or higher-timeframe confluence.
Importantly, these zones are symmetrical. Extreme conditions exist on both the upside and downside, allowing the channel to function in bullish, bearish, and ranging markets.
Reversal Sensitivity Logic
Rather than generating signals immediately when price enters a zone, the indicator uses a confirmation counter mechanism. This means price must remain beyond the first volatility boundary for a user-defined number of consecutive bars before a reversal signal is allowed.
This approach reduces false positives caused by single-candle spikes or transient wicks. By requiring persistence, the indicator attempts to confirm that price is genuinely operating in an extended state rather than momentarily probing it.
Sensitivity inputs allow traders to control how strict this confirmation process is. Lower sensitivity values produce faster signals with higher frequency but lower confirmation. Higher values demand more sustained extension, reducing signal count but increasing contextual reliability.
Buy and Sell Signal Logic
A buy signal is generated only after price has remained below the lower volatility boundary for the required number of consecutive bars and no active trade condition is present. Conceptually, this reflects downside exhaustion relative to volatility.
A sell signal follows the same logic on the upper side, triggering only after sustained price extension above the upper volatility boundary.
These signals are contrarian by design. They are not trend continuation entries. They assume that when price stretches too far, too quickly, the probability of reaction increases - particularly in markets that oscillate rather than trend cleanly.
Trade State Awareness and Exit Logic
The indicator internally tracks whether a trade condition is active. This prevents repeated signals from firing continuously while price remains extended.
Once a trade condition is active, the indicator monitors price relative to the basis line. The basis acts as a logical exit reference, representing a return toward equilibrium. When price crosses back through the basis in the direction of the trade, the condition is reset.
This design reinforces the indicator’s purpose: capturing mean reversion back toward balance, not trend continuation beyond it.
Risk Reference Levels (TP / SL Framework)
Optional take-profit and stop-loss reference levels are derived directly from channel structure rather than arbitrary values. Stop placement is anchored near the outermost volatility band, reflecting the point at which the statistical premise of the trade is invalidated.
Multiple take-profit projections are calculated using configurable risk-to-reward ratios. These levels are not recommendations; they exist to provide structure, visual planning, and consistency when evaluating potential trades.
The indicator does not manage trades. It provides spatial context so the trader can make informed decisions.
Practical Use & Context
The Equilibrium Reversal Channel performs best in markets that exhibit rotational behavior or frequent volatility expansion and contraction. In strong, one-directional trends, extreme zones may persist longer than expected. For this reason, the indicator should always be used alongside higher-timeframe structure, trend context, or directional filters.
Its purpose is not to outperform trend systems, but to define statistical stretch clearly and consistently across assets and timeframes.
Final Notes
Equilibrium Reversal Channel is designed as a contextual decision-support framework rather than a predictive system. It visualizes price behavior relative to dynamically adjusted equilibrium and volatility boundaries, offering insight into statistically stretched conditions and potential mean-reversion opportunities. Its outputs are guidance-oriented, not guarantees, and should be interpreted alongside broader market structure, higher-timeframe context, and sound risk management practices. Every visual element, zone, and signal is intended to enhance situational awareness, empower disciplined decision-making, and provide probabilistic insight into market behavior, not dictate outcomes. Traders are strongly encouraged to combine this framework with their own strategy execution and capital management protocols.
Risk Disclaimer
This indicator is provided for educational and informational purposes only and does not constitute financial advice. Trading involves significant risk, and past performance is not indicative of future results. Users are responsible for their own analysis, risk management, and execution decisions.
Hurst-Optimized Adaptive Channel [Kodexius]Hurst-Optimized Adaptive Channel (HOAC) is a regime-aware channel indicator that continuously adapts its centerline and volatility bands based on the market’s current behavior. Instead of using a single fixed channel model, HOAC evaluates whether price action is behaving more like a trend-following environment or a mean-reverting environment, then automatically selects the most suitable channel structure.
At the core of the engine is a robust Hurst Exponent estimation using R/S (Rescaled Range) analysis. The Hurst value is smoothed and compared against user-defined thresholds to classify the market regime. In trending regimes, the script emphasizes stability by favoring a slower, smoother channel when it proves more accurate over time. In mean-reversion regimes, it deliberately prioritizes a faster model to react sooner to reversion opportunities, similar in spirit to how traders use Bollinger-style behavior.
The result is a clean, professional adaptive channel with inner and outer bands, dynamic gradient fills, and an optional mean-reversion signal layer. A minimalist dashboard summarizes the detected regime, the current Hurst reading, and which internal model is currently preferred.
🔹 Features
🔸 Robust Regime Detection via Hurst Exponent (R/S Analysis)
HOAC uses a robust Hurst Exponent estimate derived from log returns and Rescaled Range analysis. The Hurst value acts as a behavioral filter:
- H > Trend Start threshold suggests trend persistence and directional continuation.
- H < Mean Reversion threshold suggests anti-persistence and a higher likelihood of reverting toward a central value.
Values between thresholds are treated as Neutral, allowing the channel to remain adaptive without forcing a hard bias.
This regime framework is designed to make the channel selection context-aware rather than purely reactive to recent volatility.
🔸 Dual Channel Engine (Fast vs Slow Models)
Instead of relying on one fixed channel, HOAC computes two independent channel candidates:
Fast model: shorter WMA basis and standard deviation window, intended to respond quickly and fit more reactive environments.
Slow model: longer WMA basis and standard deviation window, intended to reduce noise and better represent sustained directional flow.
Each model produces:
- A midline (basis)
- Outer bands (wider deviation)
- Inner bands (tighter deviation)
This structure gives you a clear core zone and an outer envelope that better represents volatility expansion.
🔸 Rolling Optimization Memory (Model Selection by Error)
HOAC includes an internal optimization layer that continuously measures how well each model fits current price action. On every bar, each model’s absolute deviation from the basis is recorded into a rolling memory window. The script then compares total accumulated error between fast and slow models and prefers the one with lower recent error.
This approach does not attempt curve fitting on multiple parameters. It focuses on a simple, interpretable metric: “Which model has tracked price more accurately over the last X bars?”
Additionally:
If the regime is Mean Reversion, the script explicitly prioritizes the fast model, ensuring responsiveness when reversals matter most.
🔸 Optional Output Smoothing (User-Selectable)
The final selected channel can be smoothed using your choice of:
- SMA
- EMA
- HMA
- RMA
This affects the plotted midline and all band outputs, allowing you to tune visual stability and responsiveness without changing the underlying decision engine.
🔸 Premium Visualization Layer (Inner Core + Outer Fade)
HOAC uses a layered band design:
- Inner bands define the core equilibrium zone around the midline.
- Outer bands define an extended volatility envelope for extremes.
Gradient fills and line styling help separate the core from the extremes while staying visually clean. The midline includes a subtle glow effect for clarity.
🔸 Adaptive Bar Tinting Strength (Regime Intensity)
Bar coloring dynamically adjusts transparency based on how far the Hurst value is from 0.5. When market behavior is more decisively trending or mean-reverting, the tint becomes more pronounced. When behavior is closer to random, the tint becomes more subtle.
🔸 Mean-Reversion Signal Layer
Mean-reversion signals are enabled when the environment is not classified as Trending:
- Buy when price crosses back above the lower outer band
- Sell when price crosses back below the upper outer band
This is intentionally a “return to channel” logic rather than a breakout logic, aligning signals with mean-reversion behavior and avoiding signals in strongly trending regimes by default.
🔸 Minimalist Dashboard (HUD)
A compact table displays:
- Current regime classification
- Smoothed Hurst value
- Which model is currently preferred (Fast or Slow)
- Trend flow direction (based on midline slope)
🔹 Calculations
1) Robust Hurst Exponent (R/S Analysis)
The script estimates Hurst using a Rescaled Range approach on log returns. It builds a returns array, computes mean, cumulative deviation range (R), standard deviation (S), then converts RS into a Hurst exponent.
calc_robust_hurst(int length) =>
float r = math.log(close / close )
float returns = array.new_float(length)
for i = 0 to length - 1
array.set(returns, i, r )
float mean = array.avg(returns)
float cumDev = 0.0
float maxCD = -1.0e10
float minCD = 1.0e10
float sumSqDiff = 0.0
for i = 0 to length - 1
float val = array.get(returns, i)
sumSqDiff += math.pow(val - mean, 2)
cumDev += (val - mean)
if cumDev > maxCD
maxCD := cumDev
if cumDev < minCD
minCD := cumDev
float R = maxCD - minCD
float S = math.sqrt(sumSqDiff / length)
float RS = (S == 0) ? 0.0 : (R / S)
float hurst = (RS > 0) ? (math.log10(RS) / math.log10(length)) : 0.5
hurst
This design avoids simplistic proxies and attempts to reflect persistence (trend tendency) vs anti-persistence (mean reversion tendency) from the underlying return structure.
2) Hurst Smoothing
Raw Hurst values can be noisy, so the script applies EMA smoothing before regime decisions.
float rawHurst = calc_robust_hurst(i_hurstLen)
float hVal = ta.ema(rawHurst, i_smoothHurst)
This stabilized hVal is the value used across regime classification, dynamic visuals, and the HUD display.
3) Regime Classification
The smoothed Hurst reading is compared to user thresholds to label the environment.
string regime = "NEUTRAL"
if hVal > i_trendZone
regime := "TRENDING"
else if hVal < i_chopZone
regime := "MEAN REV"
Higher Hurst implies more persistence, so the indicator treats it as a trend environment.
Lower Hurst implies more mean-reverting behavior, so the indicator enables MR logic and emphasizes faster adaptation.
4) Dual Channel Models (Fast and Slow)
HOAC computes two candidate channel structures in parallel. Each model is a WMA basis with volatility envelopes derived from standard deviation. Inner and outer bands are created using different multipliers.
Fast model (more reactive):
float fastBasis = ta.wma(close, 20)
float fastDev = ta.stdev(close, 20)
ChannelObj fastM = ChannelObj.new(fastBasis, fastBasis + fastDev * 2.0, fastBasis - fastDev * 2.0, fastBasis + fastDev * 1.0, fastBasis - fastDev * 1.0, math.abs(close - fastBasis))
Slow model (more stable):
float slowBasis = ta.wma(close, 50)
float slowDev = ta.stdev(close, 50)
ChannelObj slowM = ChannelObj.new(slowBasis, slowBasis + slowDev * 2.5, slowBasis - slowDev * 2.5, slowBasis + slowDev * 1.25, slowBasis - slowDev * 1.25, math.abs(close - slowBasis))
Both models store their structure in a ChannelObj type, including the instantaneous tracking error (abs(close - basis)).
5) Rolling Error Memory and Model Preference
To decide which model fits current conditions better, the script stores recent errors into rolling arrays and compares cumulative error totals.
var float errFast = array.new_float()
var float errSlow = array.new_float()
update_error(float errArr, float error, int maxLen) =>
errArr.unshift(error)
if errArr.size() > maxLen
errArr.pop()
Each bar updates both error histories and computes which model has lower recent accumulated error.
update_error(errFast, fastM.error, i_optLookback)
update_error(errSlow, slowM.error, i_optLookback)
bool preferFast = errFast.sum() < errSlow.sum()
This is an interpretable optimization approach: it does not attempt to brute-force parameters, it simply prefers the model that has tracked price more closely over the last i_optLookback bars.
6) Winner Selection Logic (Regime-Aware Hybrid)
The final model selection uses both regime and rolling error performance.
ChannelObj winner = regime == "MEAN REV" ? fastM : (preferFast ? fastM : slowM)
rawMid := winner.mid
rawUp := winner.upper
rawDn := winner.lower
rawUpInner := winner.upper_inner
rawDnInner := winner.lower_inner
In Mean Reversion, the script forces the fast model to ensure responsiveness.
Otherwise, it selects the lowest-error model between fast and slow.
7) Optional Output Smoothing
After the winner is selected, the script optionally smooths the final channel outputs using the chosen moving average type.
smooth(float src, string type, int len) =>
switch type
"SMA" => ta.sma(src, len)
"EMA" => ta.ema(src, len)
"HMA" => ta.hma(src, len)
"RMA" => ta.rma(src, len)
=> src
float finalMid = i_enableSmooth ? smooth(rawMid, i_smoothType, i_smoothLen) : rawMid
float finalUp = i_enableSmooth ? smooth(rawUp, i_smoothType, i_smoothLen) : rawUp
float finalDn = i_enableSmooth ? smooth(rawDn, i_smoothType, i_smoothLen) : rawDn
float finalUpInner = i_enableSmooth ? smooth(rawUpInner, i_smoothType, i_smoothLen) : rawUpInner
float finalDnInner = i_enableSmooth ? smooth(rawDnInner, i_smoothType, i_smoothLen) : rawDnInner
This preserves decision integrity since smoothing happens after model selection, not before.
8) Dynamic Visual Intensity From Hurst
Transparency is derived from the distance of hVal to 0.5, so stronger behavioral regimes appear with clearer tints.
int dynTrans = int(math.max(20, math.min(80, 100 - (math.abs(hVal - 0.5) * 200))))
Infinity Algo Backtest█ OVERVIEW
Infinity Algo Backtest is a strategy testing system with 5 entry modes, 6 take-profit levels, and optional Auto-Tune optimization (historical simulation).
Switch between trend-following, contrarian, and sniper entries within one strategy. Auto-Tune runs historical simulations across hundreds of parameter combinations and selects the best-scoring configuration based on your chosen metric (not predictive AI).
Includes trailing stop-loss options, optional add-on entries (pyramiding), and structured alert messages for automation.
█ KEY FEATURES
✅ 5 Entry Modes: Normal, Smart, AI, HL Sniper, AI Sniper
✅ 3 Exit Modes: Percentage targets, Signal step-outs, Opposite signal flip
✅ 6 Take-Profit Levels with customizable partial position sizing
✅ Trailing Stop-Loss (None / Breakeven / Moving Target)
✅ Auto-Tune Optimization (Walk-Forward or Static)
✅ Optional add-on entries (pyramiding)
✅ Structured alert messages for webhook automation
✅ Designed for crypto, forex, stocks, indices, and commodities
█ WHAT MAKES THIS STRATEGY DIFFERENT
🧠 Auto-Tune Engine
Unlike static strategies, this system tests 500+ parameter combinations — varying sensitivity (5-28), thresholds, and trigger configs — then selects the best-scoring settings from historical simulations.
Choose from 12 scoring metrics: Sharpe Ratio, Sortino Ratio, Calmar Ratio, SQN, Martin Ratio, GPR, Win Rate, Total Profit, Average Profit, Profit Factor, Sortino + Calmar Composite, and Robust Score.
Note: Auto-Tune is systematic parameter optimization on historical data — not predictive AI. Past performance does not guarantee future results.
🎯 Multi-Mode Entry System
Switch between trend-following, contrarian, and sniper modes — all within one strategy. No need to maintain multiple scripts.
🛡️ Adaptive Risk Management
Trailing SL modes that respond to your TP hits:
Breakeven: Locks in safety after your chosen TP is reached
Moving Target: Ratchets your stop to the previous TP level as profit grows
📊 Reproducible Results
Full transparency on strategy properties so you can replicate exact backtest conditions.
█ ENTRY ENGINES
Normal + Smart (Default)
Normal: Contrarian entries — momentum cross against the trend filter for reversal plays
Smart: Trend-following entries — momentum cross with the trend filter for continuation plays
Auto-Tune Mode
Tests 500+ parameter combinations against historical data
Simulates trades internally using your TP/SL configuration
Scores by your chosen metric (Sharpe, Sortino, Calmar, Win Rate, etc.)
Walk-Forward: Re-optimizes every N bars to adapt to regime changes
Static: Locks in best-scoring settings from full available history
HL Sniper
Trend-trigger mode for more selective entries
Fewer signals, but more selective setups
Auto-Tune Sniper
Optimizes RSI period, smoothing factor, and trigger sensitivity
Adapts sniper configuration based on historical performance
█ EXIT MODES
1) Percentage Targets
Up to 6 TP levels (TP1…TP6) with customizable partial exits
Configure both price distance (%) and position size (%) for each level
Designed for scaling out rather than all-in/all-out
2) Signal Step-Outs
Momentum-shift condition triggers partial exits
Optional higher-timeframe confirmation
"New TP Must Beat Last" prevents weak consecutive exits
3) Opposite Signal
Closes/flips position when the next opposite entry signal appears
Best for trend-following systems
█ USE CASES
📈 Trending Markets
Use "Smart" signals + Percentage TPs. Stay aligned with momentum while scaling out at multiple targets. Enable Moving Target trailing to lock in profits.
📉 Ranging / Choppy Markets
Use "Normal" signals (contrarian mode). Catch reversals at range boundaries. Tighter TP targets work better here.
⚡ High Volatility / News Events
Use "HL Sniper" for selective entries. Fewer signals, more selective. Wider SL to accommodate volatility.
🤖 Automation & Bots
Structured alert payloads work with popular bot platforms and custom webhooks. Entry + 6 TPs + SL in one alert.
█ HOW TO USE
Apply to your chart (any timeframe, any market)
Start with Entry Signals = "Normal + Smart", Exit Mode = "Percentage"
Pick your direction (Long / Short / Both)
Adjust signal thresholds and trend filter length to match your style
Configure TP% levels and Qty% — total should sum to 100%
Enable Stop-Loss and choose a trailing mode
Set commission and slippage in Strategy Properties for realistic results
Optional: Enable Auto-Tune for adaptive optimization
█ STRATEGY PROPERTIES
Default settings for reproducible backtests:
Initial capital: 10,000 USD
Order size type: Cash
Default order size: 10,000
Process orders on close: Enabled
Pyramiding: Controlled by "Allow Add-On Entries"
For realistic results, set commission and slippage in Strategy Properties to match your broker/exchange.
█ ALERTS & AUTOMATION
The strategy outputs structured alert payloads compatible with:
Popular bot platforms and webhook receivers
Custom automation systems (JSON format)
Setup: Create alert → Select "Order fills and alert() function calls" → Use {{strategy.order.alert_message}} placeholder
█ WORKS ON
Crypto
Forex
Stocks
Indices
Commodities
█ REALISTIC EXPECTATIONS
No strategy wins 100% of the time — this is no exception
Auto-Tune optimizes on past data — it cannot predict the future
Backtest results ≠ live results (fees, slippage, and emotions matter)
Always validate with out-of-sample data before going live
Use proper position sizing and risk management
█ LIMITATIONS
Backtests are simulations — results depend on market conditions, fees, slippage, and parameters
Auto-Tune can overfit if used without out-of-sample validation
Multi-timeframe exit logic confirms on higher-TF bar closes (slight delay expected)
Use standard candles/bars for strategy testing (avoid Heikin Ashi, Renko)
█ DISCLAIMER
This strategy is provided for educational and informational purposes only and does not constitute financial advice. Past performance is not indicative of future results. Trading involves substantial risk of loss, and you are solely responsible for your own trading decisions.
Infinity Algo█ OVERVIEW
Infinity Algo is an all-in-one signal system with 5 entry modes, 6 take-profit levels, and built-in Auto-Tune optimization.
Switch between trend-following, contrarian, and sniper modes based on market conditions — all within one indicator. Auto-Tune tests 500+ parameter combinations to selects the best-scoring settings from historical simulations.
Includes on-chart TP/SL visualization, trailing stop modes, and webhook-ready alerts.
█ KEY FEATURES
✅ 5 Signal Modes: Normal, Smart, AI, HL Sniper, AI Sniper
✅ 3 Exit Modes: Percentage targets, Signal step-outs, Opposite signal
✅ 6 Take-Profit Levels with on-chart visualization
✅ Trailing Stop-Loss (Breakeven / Moving Target)
✅ Auto-Tune Parameter Optimization
✅ Visual Helpers: Bar coloring, gradient background, "signal coming" markers
✅ Built-in alert conditions for automation
✅ Designed for crypto, forex, stocks, indices, and commodities
█ WHAT MAKES THIS INDICATOR DIFFERENT
🧠 Auto-Tune Engine
Most indicators use static settings that fail when volatility shifts. Auto-Tune tests 500+ parameter combinations in the background — varying sensitivity, thresholds, and trigger configs — selects the best-scoring settings from historical simulations.
Choose from 12 scoring metrics: Sharpe Ratio, Sortino Ratio, Calmar Ratio, SQN, Martin Ratio, GPR, Win Rate, Total Profit, Average Profit, Profit Factor, and more.
Note: Auto-Tune is systematic parameter optimization on historical data — not predictive AI. Past performance does not guarantee future results.
🎯 Multi-Mode Signal System
One indicator, five signal modes:
Normal: Contrarian entries against the trend filter
Smart: Trend-following entries with the trend filter
Auto-Tune: Auto-optimized momentum signals
HL Sniper: More selective trend triggers
Auto-Tune Sniper: Auto-optimized sniper configuration
🛡️ Adaptive Risk Management
Trailing SL modes that respond to your TP hits — not arbitrary price levels. Lock in breakeven or ratchet your stop as profit grows.
👁️ Anticipation Markers
"Possible Long/Short Coming" labels appear when momentum approaches signal levels — giving you time to prepare before the signal fires.
█ SIGNAL MODES EXPLAINED
Normal + Smart (Default)
The dual-mode system that adapts to market conditions:
Normal Signals: Momentum threshold cross against the trend filter — contrarian plays for reversals and range boundaries
Smart Signals: Momentum threshold cross with the trend filter — trend-following plays for continuation moves
Auto-Tune Mode
Let the optimization engine find best-scoring settings:
Tests 500+ parameter combinations against historical data
Simulates trades using your configured TP/SL levels
Scores each configuration by your chosen metric (Sharpe, Sortino, Win Rate, etc.)
Walk-Forward: Re-optimizes every N bars to adapt to regime changes
Static: Locks in best-scoring settings from full available history
HL Sniper
For traders who prefer quality over quantity:
Trend-trigger mode for more selective entries
Fewer signals, more selective setups
Best suited for volatile markets where patience matters
Auto-Tune Sniper
Combines sniper selectivity with automatic optimization:
Optimizes RSI period, smoothing factor, and trigger sensitivity
Adapts configuration based on historical performance
Selective entries + adaptive parameters
█ EXIT & RISK MANAGEMENT
Percentage Targets
Up to 6 TP levels (TP1…TP6) with on-chart lines and labels
Configure price distance (%) and position size (%) for each level
Designed for scaling out positions systematically
Signal Step-Outs
Momentum-shift condition triggers partial exits
Optional higher-timeframe confirmation for stronger signals
"New TP Must Beat Last" prevents weak consecutive exits
Opposite Signal
Closes/flips position when the next opposite entry signal appears
Simple and effective for trend-following systems
Stop-Loss & Trailing
Fixed SL as % from entry (configurable separately for long/short)
Breakeven: Moves SL to entry price after chosen TP is hit
Moving Target: Advances SL to previous TP level as profit grows
█ VISUAL HELPERS
On-Chart TP/SL Lines: See your targets and stops directly on the chart
Bar Coloring: Candles colored by current signal bias
Background Gradient: Visual confirmation of position direction
"Possible Signal Coming" Markers: Anticipate entries before they trigger
Peak Profit Label: Track maximum unrealized profit during trades
█ AUTO-TUNE DASHBOARD
When Auto-Tune is enabled, the dashboard displays:
Current Parameters: Active sensitivity, thresholds, or sniper config
Simulated Performance: Trade count, win rate, P&L from internal backtest
Confidence Score: Stability indicator based on agreement among top configurations
Note: Auto-Tune is automated parameter selection on historical data — not predictive AI. It cannot guarantee future performance.
█ USE CASES
📈 Trending Markets
Use "Smart" signals + Percentage TPs. Stay aligned with momentum while scaling out at multiple targets. Enable Moving Target trailing to maximize winners.
📉 Ranging / Choppy Markets
Use "Normal" signals (contrarian mode). Catch reversals at range boundaries. Tighter TP targets and quicker exits work best.
⚡ High Volatility / News Events
Use "HL Sniper" for selective entries. Fewer signals, more selective. Wider SL to accommodate volatility.
🧪 New Asset / Unfamiliar Market
Enable "AI" mode and let Auto-Tune find optimal parameters. Great for exploring new markets without manual optimization.
🤖 Automation & Bots
Structured alert payloads work with popular bot platforms and custom webhooks. Entry + 6 TPs + SL in one alert.
█ HOW TO USE
Apply to your chart (any timeframe, any market)
Choose your signal mode based on market conditions
Pick your direction (Long / Short / Both)
Select exit mode: Percentage, Signals, or Opposite Signal
Configure TP levels and position sizing
Enable Stop-Loss and choose a trailing mode
Optional: Enable Auto-Tune for adaptive optimization
Set alerts for signals and TP/SL events
█ ALERTS
Built-in alert conditions for:
All entry signal types (Normal, Smart, AI, HL Sniper, AI Sniper)
TP hits (percentage levels or signal-based steps)
SL touch events
"Possible Long/Short Coming" anticipation markers
Tip: Create separate alerts for each condition. Use TradingView placeholders ({{ticker}}, {{close}}) in your alert messages.
█ WORKS ON
Crypto
Forex
Stocks
Indices
Commodities
█ REALISTIC EXPECTATIONS
No indicator wins 100% of the time — this is no exception
Signals should be combined with your own analysis
Auto-Tune optimizes on past data — it cannot predict the future
Always use proper position sizing and risk management
Paper trade or backtest before risking real capital
█ LIMITATIONS
Signals and overlays are decision-support tools — they cannot eliminate losses
Auto-Tune can overfit if used without out-of-sample validation
Multi-timeframe logic confirms on higher-TF closes — slight delay is expected
Best evaluated on standard candles with realistic fee/slippage assumptions
█ DISCLAIMER
This indicator is provided for educational and informational purposes only and does not constitute financial advice. Past performance is not indicative of future results. Trading involves substantial risk of loss, and you are solely responsible for your own trading decisions.
GardFx - Fusion Pro FREE TrialFusion Pro - by GardFx
This script is a specialized session-trading system designed to capitalize on the Opening Range Breakout (ORB) by utilizing Fair Value Gaps (FVG) as entry confirmation zones. Unlike standard breakout indicators that signal immediately upon a range break, this system waits for a price retest (mitigation) of specific imbalances created during the breakout move.
Core Concept
The strategy operates on a three-step logic sequence:
Define the Range: It establishes the High and Low of the opening session (London or New York).
Identify Imbalance: Upon a breakout of this range, the script scans for the creation of a Fair Value Gap (FVG) on the 1-minute timeframe.
Confirm Entry: It waits for price to retrace into the FVG (mitigation) and looks for specific candle confirmation patterns before generating a signal.
Detailed Methodology
1. The Opening Range (ORB)
The script monitors the first 15 minutes of the session (configurable).
High Line: The highest price reached during the first 15m.
Low Line: The lowest price reached during the first 15m.
Breakout: A breakout is validated when a candle closes outside of this defined range.
2. Fair Value Gap (FVG) Detection
Shutterstock
Not all breakouts are valid. This script filters for momentum by requiring an FVG to form immediately following the breakout.
Bullish FVG: Defined when the Low of Candle 1 is higher than the High of Candle 3.
Bearish FVG: Defined when the High of Candle 1 is lower than the Low of Candle 3.
Note: If an FVG is not formed shortly after the breakout, the setup is considered low-probability and ignored.
3. Entry Confirmation Models Once an FVG is identified and price returns to mitigate it, the script offers three confirmation modes:
Instant (First Touch): Aggressive entry immediately when price touches the FVG box.
Reversal Close: Waits for a candle to close in the direction of the trend after touching the FVG (e.g., a green candle close after dipping into a bullish FVG).
Engulfing Candle: The most conservative filter. Requires a full engulfing candle pattern occurring within or bouncing off the FVG.
4. Advanced Filters To reduce false signals during choppy markets, two optional filters are included:
Volume Filter: Requires the breakout candle's volume to be higher than its Moving Average (multiplied by a user-defined factor).
Higher Timeframe (HTF) Trend: Checks the trend on a higher timeframe (e.g., 1H or 4H).
Logic: If the HTF Close is > HTF EMA 50, only Buy signals are permitted. If HTF Close < HTF EMA 50, only Sell signals are permitted.
5. Risk Management The script includes an automated Risk/Reward calculator.
Stop Loss (SL): Placed at the invalidation point of the FVG structure, plus an optional ATR buffer to account for volatility.
Take Profit (TP): Calculated based on a user-defined Risk:Reward ratio (e.g., 1:2) relative to the Stop Loss distance.
Dashboard A multi-timeframe dashboard is displayed to provide a "Glance View" of market bias across the Daily, 4H, 1H, and 15M timeframes, ensuring trades are aligned with macro momentum.
3 hours ago
Release Notes
🚀 GardFx - Fusion Pro V2: The Ultimate ORB & ICT Suite
Welcome to Version 2.0 of Fusion Pro. This update transforms the indicator from a simple breakout tool into a complete institutional trading system. We have integrated Multi-Timeframe (MTF) logic, Candlestick Pattern recognition, and Smart Exit management to filter out noise and catch high-probability moves.
🔥 NEW FEATURES IN V2:
1. 🧠 Smart MTF Bias & Voting System
No more guessing the trend. The script now checks Daily, 4H, 1H, and 15m timeframes.
Voting Logic: A trade is only signaled if the higher timeframes agree (e.g., 2 out of 3 votes).
Visuals: The dashboard displays the live bias for every timeframe.
2. 🎯 Advanced Entry Confirmations We have added specific trigger patterns to reduce fake-outs. You can now choose your entry style:
🦄 Unicorn Setup: ORB Level + FVG overlap.
🕯️ Candlestick Patterns: Pinbar, Engulfing, Tweezer Tops/Bottoms, and Inside Bar.
📉 FVG 50%: Wait for price to retrace to the 50% equilibrium of the gap before entering.
3. 🛡️ Entry Validation Modes Control exactly when the entry label fires:
Instant: Enters immediately upon touch.
Candle Close: Waits for the candle to close in your direction.
Break of High/Low: Places a pending order at the wick; only enters if momentum breaks that level.
Wait for MSS: Waits for a Market Structure Shift (local high/low break).
4. 💰 Dynamic Smart Exit (Secure TP)
A new Volume-Based Exit Manager detects sudden momentum shifts or volume spikes against your position.
It prints a "Secure TP" label to help you bank profits before a reversal occurs, even if the fixed TP hasn't been hit.
5. 📊 Enhanced Dashboard & Stats
Tracks Win/Loss rates separately for Asia, London, and New York sessions.
Weekly and Daily stats reset automatically.
Fully customizable size and position.
6. ⚡ Automated UK Sessions
Built-in timings for Asia, London, and New York based on UTC (London) time. No more timezone conversion headaches.
AI Reversal Signals Custom [wjdtks255]📊 Indicator Overview: AI Reversal Signals Custom
This indicator is a comprehensive trend-following and reversal detection tool. It combines the long-term trend bias of a 200 EMA with highly sensitive RSI-based reversal signals and momentum visualization. It is designed to capture market bottoms and tops by identifying exhaustion points in price action.
Key Features
200 EMA (Trend Filter): A gold line representing the long-term institutional trend. It helps traders distinguish between "buying the dip" and "catching a falling knife."
Reversal Buy/Sell Labels: Real-time signals that appear when the market recovers from extreme overbought or oversold conditions.
Dynamic Background Clouds: Visual indicators of trend strength changes, highlighting potential entry zones.
Momentum Histogram: Internal calculations mimic the "Bottom Bars" seen in professional suites to track the velocity of price movement.
📈 Trading Strategy (How to Trade)
1. High-Probability Long Setup (Buy)
Trend Confirmation: Price should ideally be trading above the 200 EMA for the highest success rate.
Signal: Wait for the "BUY" label to appear below the candle.
Momentum: Confirm with the Light Green background or histogram shift indicating recovery.
Entry: Enter on the close of the signal candle.
2. High-Probability Short Setup (Sell)
Trend Confirmation: Price should ideally be trading below the 200 EMA.
Signal: Wait for the "SELL" label to appear above the candle.
Momentum: Confirm with the Red background or histogram fading from green to red.
Entry: Enter on the close of the signal candle.
3. Risk Management
Stop Loss: Place your Stop Loss slightly below the recent swing low for Buy orders, or above the recent swing high for Sell orders.
Take Profit: Exit when the price reaches a major support/resistance level or when an opposing signal appears.
💡 Professional Tip
For the best results, use this indicator on the 15-minute or 1-hour timeframes. The most powerful "Ultimate Reversal" signals occur when there is a Bullish Divergence (Price making lower lows while the RSI makes higher lows) followed by a confirmed "BUY" label.
