Altseason Index (Top 10)### Altseason Index (Top 10)
#### Overview
The "Altseason Index (Top 10)" indicator identifies whether the market is in an altseason (altcoins outperforming Bitcoin) or a Bitcoin season. It analyzes the performance of 9 top altcoins (ETH, BNB, ADA, XRP, SOL, DOT, AVAX, SHIB, LINK) against Bitcoin over 90 days, inspired by the Blockchain Center Altcoin Season Index.
#### How It Works
- Calculates the 90-day price change for BTC and 9 altcoins.
- Counts how many altcoins outperform BTC.
- Index = (number of outperforming altcoins / 9) * 100.
- >75%: Altseason (green zone).
- <25%: Bitcoin season (red zone).
- 25–75%: Neutral.
#### Visualization
- Blue line: Index value (0–100).
- Green line at 75: Altseason threshold.
- Red line at 25: Bitcoin season threshold.
- Green/red background fill for altseason/BTC season zones.
#### Usage
Add to your chart and interpret:
- Above 75: Consider altcoin investments.
- Below 25: Focus on Bitcoin.
Ensure tickers match your exchange (e.g., "BTCUSD" or "BINANCE:BTCUSDT").
#### Notes
- Limited to 9 altcoins due to TradingView's request.security() limit.
- Best on daily charts but adaptable to other timeframes.
Indikatoren und Strategien
EnjoyTrade TrackerEnjoyTrade Tracker is a multi-asset Pine Script tool designed to monitor key global assets from a single dropdown. It supports real-time price tracking for:
VIX (Volatility Index)
FBTCUSD for crypto sentiment
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Horizontal Line at LevelsThis line drawing based on value to predict the market is moving on specific area marked and can alter according to level planned as per the market
Horizontal Line at LevelsDraw 2 line for buy & Sell depends upon market movements , it help to enter the line
Gold DCA IndicatorThis indicator operates on the assumption that when there is a bearish cross on the MACD on the S&P 500, it is ideal to DCA into gold as investors are hedging their investments into safe assets.
It plots these events with tags on the gold chart and also provides alerts when these events occur.
RVOL Effort Matrix💪🏻 RVOL Effort Matrix is a tiered volume framework that translates crowd participation into structure-aware visual zones. Rather than simply flagging spikes, it measures each bar’s volume as a ratio of its historical average and assigns to that effort dynamic tiers, creating a real-time map of conviction , exhaustion , and imbalance —before price even confirms.
⚖️ At its core, the tool builds a histogram of relative volume (RVOL). When enabled, a second layer overlays directional effort by estimating buy vs sell volume using candle body logic. If the candle closes higher, green (buy) volume dominates. If it closes lower, red (sell) volume leads. These components are stacked proportionally and inset beneath a colored cap line—a small but powerful layer that maintains visibility of the true effort tier even when split bars are active. The cap matches the original zone color, preserving context at all times.
Coloration communicates rhythm, tempo, and potential turning points:
• 🔴 = structurally weak effort, i.e. failed moves, fake-outs or trend exhaustion
• 🟡 = neutral volume, as seen in consolidations or pullbacks
• 🟢 = genuine commitment, good for continuation, breakout filters, or early rotation signals
• 🟣 = explosive volume signaling either climax or institutional entry—beware!
Background shading (optional) mirrors these zones across the pane for structural scanning at a glance. Volume bars can be toggled between full-stack mode or clean column view. Every layer is modular—built for composability with tools like ZVOL or OBVX Conviction Bias.
🧐 Ideal Use-Cases:
• 🕰 HTF bias anchoring → LTF execution
• 🧭 Identifying when structure is being driven by real crowd pressure
• 🚫 Fading green/fuchsia bars that fail to break structure
• ✅ Riding green/fuchsia follow-through in directional moves
🍷 Recommended Pairings:
• ZVOL for statistically significant volume anomaly detection
• OBVX Conviction Bias ↔️ for directional confirmation of effort zones
• SUPeR TReND 2.718 for structure-congruent entry filtering
• ATR Turbulence Ribbon to distinguish expansion pressure from churn
🥁 RVOL Effort Matrix is all about seeing—how much pressure is behind a move, whether that pressure is sustainable, and whether the crowd is aligned with price. It's volume, but readable. It’s structure, but dynamic. It’s the difference between obeying noise and trading to the beat of the market.
Wyckoff S-bar and RS-bar DetectorThis script is used for detecting Significant candle/bar according to Wyckoff definition.
Highly appriciate your feedback if any issue during your usage.
Sessions with Mausa session high/low tracker that draws flat, horizontal lines for Asia, London, and New York trading sessions. It updates those levels in real time during each session, locks them in once the session ends, and keeps them on the chart for context.
At a glance, you always know:
Where each session’s highs and lows were set
Which session produced them (ASIA, LDN, NY labels float cleanly above the highs)
When price is approaching or reacting to prior session levels
🔹 Use Cases:
• Key Levels – See where Asia, London, or NY set boundaries, and watch how price respects or rejects them
• Breakout Zones – Monitor when price breaks above/below session highs/lows
• Session Structure – Know instantly if a move happened during London or NY without squinting at the clock
• Backtesting – Keep historic session levels on the chart for reference — nothing gets deleted
• Confluence – Align these levels with support/resistance, fibs, or liquidity zones
Simple, visual, no distractions — just session structure at a glance.
200均线ema200均线指标
自动绘制30分钟、1小时、4小时、1天的均线,并在右下角显示目前均线价格。
EMA200 Moving Average Indicator
Automatically plot the moving averages for 30 - minute, 1 - hour, 4 - hour, and 1 - day timeframes, and display the current moving average prices in the bottom - right corner.
VWOP WIZARD## Overview
The VWOP Wizard is a dynamic, multi-timeframe indicator that blends oscillator-based scaling with volume–weighted moving averages. It adapts its smoothing window depending on market conditions and provides both a plotted VWOP (Volume–Weighted Oscillator Price) line as well as a dashboard that displays values across several timeframes. In addition, it generates scalp entry signals based on the price’s relationship to the VWOP values from different periods.
---
## Key Components and Workflow
### 1. User Inputs and Customization
- **Oscillator Choice:**
You can choose from a range of oscillators such as **RSI, CCI, COG, MFI, CMO, TSI**, and a composite called **COPPOCK**. By default, COPPOCK is selected. The oscillator is used as the dynamic driver in the indicator.
- **Averaging Method:**
The indicator offers several smoothing methods including **VWAP, SWMA, VWMA, SMA, EMA, RMA, WMA,** and **Linear Regression Channel (LRC)**. This determines how the price data is averaged.
- **Length Slope Scaling:**
Four scaling lengths (len1, len2, len3, len4) and a slope shape input (`lCurve`) are defined. The slope shape options (“<>”, “><”, “<”, “>”) control how the oscillator’s relative position influences the length (i.e., the lookback period) used in the volume–weighted average calculation.
- **Oscillator Length:**
A parameter for the oscillator’s time period (default 16) allows fine tuning of its responsiveness.
### 2. Oscillator Calculation
- **Oscillator Value (`osc`):**
Depending on the user’s selection, the indicator computes an oscillator value. For example, when using “COPPOCK” (the default), the script calculates the weighted moving average of the sum of two rate-of-change (ROC) measures derived from the source price. This composite value provides a measure of recent momentum.
- **Scaling the Oscillator Range:**
The script computes the maximum (`maxOsc`) and minimum (`minOsc`) values of the oscillator over its history, then finds the difference (`dif`). These values are used to assess where the current oscillator reading lies within its full range.
### 3. Dynamic Slope Scaling
- **Determining the “lev” (Length):**
With the oscillator’s current position known relative to its minimum and maximum, the indicator uses the chosen scaling shape to set the effective lookback period (`lev`):
- **Symmetrical Scaling (“<>”):**
Checks if the oscillator is near the lower or upper quartiles (25%, 35%, 45% thresholds) to select among len1, len2, len3, or len4.
- **Inverted Scaling (“><”):**
Uses a reversed mapping of the thresholds, assigning longer or shorter lengths based on whether the oscillator is near the extremes.
- **Progressive Scaling (“<” or “>”):**
Interpolates between predefined lengths by comparing the oscillator to closer threshold splits either on the lower side (“<”) or upper side (“>”).
This dynamic adjustment means that the smoothing window for the moving average adapts to market volatility or momentum as revealed by the oscillator.
### 4. Moving Average Calculation (VWOP Line)
- **Volume–Weighted Smoothing:**
With the dynamic length (`lev`) determined, the script calculates a moving average that is volume–weighted. It does so by:
1. **Weighted Summation:**
Multiplying a selected type of moving average (based on the user’s method choice) of the source price by volume, summed over the window defined by `lev`.
2. **Normalization:**
Dividing the weighted sum by the total volume over the same period.
3. **Smoothing:**
In some cases, a secondary application of the selected moving average type (or a similar formula) further smooths the result.
The result is a VWOP line that reflects both price movements and volume activity, adjusted dynamically by the oscillator’s insights.
### 5. Plotting and Trend Determination
- **Visual Plot:**
The indicator plots the VWOP line directly on the chart. Its color dynamically changes—**green** if the current VWOP is higher than its previous value (indicating bullish momentum), and **red** if it is lower (indicating bearish momentum).
### 6. Multi-Timeframe Analysis and Scalp Signals
- **Additional Timeframe Calculations:**
Beyond the primary chart timeframe, the VWOP line is recalculated for additional timeframes (15-minute, 1-hour, 4-hour, and daily) using TradingView’s `request.security()` function. This provides a broader view of market trend across different periods.
- **Scalp Entry Signal:**
A scalp signal is generated on the 15-minute timeframe. The conditions are:
- **For a Long Signal:**
The price must be above the 15-minute VWOP, at least one of the 1-hour or 4-hour VWOPs, and above the Daily VWOP.
- **For a Short Signal:**
The price must be below the 15-minute VWOP, at least one of the 1-hour or 4-hour VWOPs, and below the Daily VWOP.
If neither condition is met, the signal defaults to “NEUTRAL.”
### 7. Dashboard Display
- **Visual Table:**
A dashboard table is created and positioned on the top right of the chart. It presents:
- The VWOP value from the 15-minute timeframe, along with the scalp signal (LONG, SHORT, or NEUTRAL) shown in a color that reflects the signal’s nature.
- The VWOP values for the 1-hour, 4-hour, and Daily timeframes, each color-coded (green for bullish, red for bearish) based on their trend.
This table provides a quick, at-a-glance summary of the market’s behavior across multiple timeframes.
---
## Conclusion
In summary, the VWOP Wizard indicator works by:
- **Combining an oscillator** (with user-selectable options) to drive dynamic adjustments.
- **Setting a variable lookback period** for a volume–weighted moving average based on the oscillator’s current value relative to its range.
- **Calculating and smoothing a VWOP line** using various averaging methods.
- **Determining trend direction** by comparing current and previous VWOP values.
- **Providing multi-timeframe insight** along with scalp entry signals via a dashboard display.
This design makes the indicator highly adaptive, offering insights into momentum shifts while accounting for volume, and ultimately assisting traders in making more informed decisions across different trading horizons.
Ross Cameron-Inspired Day Trading StrategyExplanation for Community Members:
Title: Ross Cameron-Inspired Day Trading Strategy
Description:
This script is designed to help you identify potential buy and sell opportunities during the trading day. It combines several popular trading strategies to provide clear signals.
Key Features:
Gap and Go: Identifies stocks that have gapped up or down at the open.
Momentum Trading: Uses RSI and EMA to identify momentum-based entry points.
Mean Reversion: Uses RSI and SMA to identify potential reversals.
How to Use:
Apply to Chart: Add this script to your TradingView chart.
Set Timeframe: Works best on 5-minute and 10-minute timeframes.
Watch for Signals: Look for green "BUY" labels for entry points and red "SELL" labels for exit points.
Parameters:
Gap Percentage: Adjust to identify larger or smaller gaps.
RSI Settings: Customize the RSI length and overbought/oversold levels.
EMA and SMA Lengths: Adjust the lengths of the moving averages.
Confirmation Period: Set how many bars to wait for confirmation.
Visual Elements:
BUY Signals: Green labels below the price bars.
SELL Signals: Red labels above the price bars.
Indicators: Displays EMA (blue) and SMA (orange) for additional context.
This script is a powerful tool for day trading on NSE and BSE indices, combining multiple strategies to provide robust trading signals. Adjust the parameters to suit your trading style and always combine with your own analysis for best results.
PumpC RSI NTZ BarsPumpC RSI NTZ Bars — Slope-Aware RSI Momentum Overlay
The PumpC RSI NTZ Bars indicator builds on the classic RSI by combining it with slope detection and custom bar highlighting, helping traders quickly identify strong momentum breakouts while avoiding sideways chop — the (NTZ) or No Trade Zone .
What is (NTZ)?
(NTZ) stands for No Trade Zone — the neutral RSI area between bullish and bearish thresholds. In this zone, RSI lacks directional strength, which often reflects indecision or consolidation in price. This indicator helps visually separate the chop from true momentum, so you can trade the breakout, not the noise .
Core Features
Dynamic RSI-Based Bar Coloring with Slope Awareness
Bars change color based on RSI value and its slope:
Bright Green: RSI ≥ Bullish Threshold and sloping upward
Teal Green: RSI ≥ Bullish Threshold but sloping downward
Bright Red: RSI ≤ Bearish Threshold and sloping downward
Orange: RSI ≤ Bearish Threshold but sloping upward
White: RSI is between thresholds (NTZ)
Slope Detection Logic
RSI slope is used to confirm directional bias and filter out weak or fading momentum.
Clean Visual Integration
Choose how signals appear: full bar color, border-only style, background shading, or a mix of all three.
RSI Smoothing Option
Optional smoothing to reduce noise — especially useful on faster timeframes.
Built-In Alerts
RSI crossing above the bullish threshold with an upward slope
RSI crossing below the bearish threshold with a downward slope
User Inputs & Customization Options
RSI Length: Default 14
RSI Source: Default Close
Smooth RSI: On or Off
Smoothing Length: Default 2
Bullish Threshold: Default 60
Bearish Threshold: Default 40
Bar Highlight Style: Full Bar or Border Only
Display Mode: Bar Color, Background, or Both
How to Use It
Step 1 – Adjust Your RSI Settings:
Start by setting the RSI Length (default is 14) and choosing which price source to use — typically close , but you can experiment with hl2 , ohlc4 , etc.
You can also turn on smoothing if you want to reduce noise, especially on fast timeframes like the 1m or 5m chart.
Step 2 – Define Your No Trade Zone (NTZ):
The NTZ is the space between the bullish and bearish thresholds (default 60 and 40).
This is where momentum is weak and price is often ranging or chopping. You don’t want to trade in this zone — you're waiting for RSI to break out of it with conviction.
Step 3 – Choose Your Visual Style:
You can choose to: Highlight the entire candle (Full Bar)
Just highlight the outline (Border Only)
Add a background color behind the chart
Or use a combination of the above This makes the signal easy to see without changing your whole chart look.
Step 4 – Read the Colors for Quick Clarity:
Bright Green / Bright Red = Strong Momentum (with RSI slope confirmation)
Teal / Orange = Momentum is weakening — RSI value is above/below threshold but losing slope strength
White = RSI is in the No Trade Zone (NTZ) — not enough strength to trade
Use this color feedback to stay out during weak periods and act when the trend gains strength.
Step 5 – Use Alerts for Clean Signals:
Set alerts when RSI breaks out of the NTZ with slope confirmation .
These are high-quality signals you can use to trigger your setups or review potential entries.
Disclaimer
This indicator is for educational and informational purposes only and should not be considered financial advice. Always combine tools like this with proper market context and risk management.
Cup and Handle Detector [Weekly]Spotted a classic Cup and Handle pattern forming on the weekly chart — a strong bullish signal brewing! The stock looks poised for a breakout to the upside soon. 📊🔥
Best rate to BUY 8.57 it's almost double the profit soon touch 17 InshaAllah.
✅ Rounded base (cup) formation
✅ Healthy handle consolidation
✅ Volume drying up = breakout incoming?
Keep this one on your radar — potential move coming.
👀Not financial advice. Always do your own research before making any trading decisions.
RSI + TSI + SuperTrendRSI + TSI It measures when the coin is super bought or super sold and when the coin is down you buy when the money is up
OBVX Conviction Bias🧮 The OBVX Conviction Bias overlay tracks the flow of directional volume using the classic On-Balance Volume calculation, then filters it through a layered moving average system to expose crowd commitment , pressure transitions , and momentum fatigue . The tool applies two smoothed averages to the OBV line—a fast curve and a longer-term baseline scaled using Euler’s constant (2.718)—and visualizes their relationship using a color-coded crossover ribbon and pressure fills. When used correctly, it reveals whether a move is being supported by meaningful volume, or whether the crowd is starting to disengage.
🚦 The core signal compares OBV to its fast moving average. When OBV climbs above the short average, it fills green—suggesting real directional effort. When OBV sinks below, the fill turns maroon—flagging fading conviction or pullback potential. A second fill between the short and long OBV moving averages captures the broader trend of volume intention. If the short is above the long, this space fills greenish, showing constructive pressure. If it flips, the fill fades red, signaling crowd hesitation, rotation, or early exhaustion.
⚖️ All smoothing is user-selectable, defaulting to VWMA for effort-sensitive structure. The long-term average is auto-scaled using the natural exponential multiplier (2.718), offering rhythm that reflects the curve of participation. OBVX Conviction Bias isn’t trying to predict—it’s trying to show you where the crowd is leaning , and whether that lean is gaining traction or losing strength.
🧐 Ideal Use-Cases:
• Detect divergence between volume flow and price action
• Confirm breakout validity with volume alignment
• Fade breakouts where OBV fails to follow through
• Time pullback entries when OBV pressure resumes in trend direction
🍷 Recommended Pairings:
• ZVOL to measure whether volume is statistically significant or just noise (as shown)
• RVOL Effort Matrix to validate crowd effort by tier and structure zone
• SUPeR TReND 2.718 and/or MA Ribbons for directional confluence
• ATR Turbulence to track volatility-phase alignment with volume intention
VWOP WIZARD## Overview
The VWOP Wizard is a dynamic, multi-timeframe indicator that blends oscillator-based scaling with volume–weighted moving averages. It adapts its smoothing window depending on market conditions and provides both a plotted VWOP (Volume–Weighted Oscillator Price) line as well as a dashboard that displays values across several timeframes. In addition, it generates scalp entry signals based on the price’s relationship to the VWOP values from different periods.
---
Key Components and Workflow
1. User Inputs and Customization
- Oscillator Choice:
You can choose from a range of oscillators such as **RSI, CCI, COG, MFI, CMO, TSI**, and a composite called **COPPOCK**. By default, COPPOCK is selected. The oscillator is used as the dynamic driver in the indicator.
- Averaging Method:
The indicator offers several smoothing methods including **VWAP, SWMA, VWMA, SMA, EMA, RMA, WMA,** and **Linear Regression Channel (LRC)**. This determines how the price data is averaged.
- Length Slope Scaling:
Four scaling lengths (len1, len2, len3, len4) and a slope shape input (`lCurve`) are defined. The slope shape options (“<>”, “><”, “<”, “>”) control how the oscillator’s relative position influences the length (i.e., the lookback period) used in the volume–weighted average calculation.
- Oscillator Length:
A parameter for the oscillator’s time period (default 16) allows fine tuning of its responsiveness.
2. Oscillator Calculation
- Oscillator Value (`osc`):
Depending on the user’s selection, the indicator computes an oscillator value. For example, when using “COPPOCK” (the default), the script calculates the weighted moving average of the sum of two rate-of-change (ROC) measures derived from the source price. This composite value provides a measure of recent momentum.
- Scaling the Oscillator Range:
The script computes the maximum (`maxOsc`) and minimum (`minOsc`) values of the oscillator over its history, then finds the difference (`dif`). These values are used to assess where the current oscillator reading lies within its full range.
3. Dynamic Slope Scaling
- Determining the “lev” (Length):
With the oscillator’s current position known relative to its minimum and maximum, the indicator uses the chosen scaling shape to set the effective lookback period (`lev`):
- Symmetrical Scaling (“<>”):
Checks if the oscillator is near the lower or upper quartiles (25%, 35%, 45% thresholds) to select among len1, len2, len3, or len4.
- Inverted Scaling (“><”):
Uses a reversed mapping of the thresholds, assigning longer or shorter lengths based on whether the oscillator is near the extremes.
- Progressive Scaling (“<” or “>”):
Interpolates between predefined lengths by comparing the oscillator to closer threshold splits either on the lower side (“<”) or upper side (“>”).
This dynamic adjustment means that the smoothing window for the moving average adapts to market volatility or momentum as revealed by the oscillator.
4. Moving Average Calculation (VWOP Line)
- Volume–Weighted Smoothing:
With the dynamic length (`lev`) determined, the script calculates a moving average that is volume–weighted. It does so by:
1. Weighted Summation:
Multiplying a selected type of moving average (based on the user’s method choice) of the source price by volume, summed over the window defined by `lev`.
2. Normalization:
Dividing the weighted sum by the total volume over the same period.
3. Smoothing:
In some cases, a secondary application of the selected moving average type (or a similar formula) further smooths the result.
The result is a VWOP line that reflects both price movements and volume activity, adjusted dynamically by the oscillator’s insights.
5. Plotting and Trend Determination
- Visual Plot:
The indicator plots the VWOP line directly on the chart. Its color dynamically changes—**green** if the current VWOP is higher than its previous value (indicating bullish momentum), and **red** if it is lower (indicating bearish momentum).
6. Multi-Timeframe Analysis and Scalp Signals
- **Additional Timeframe Calculations:**
Beyond the primary chart timeframe, the VWOP line is recalculated for additional timeframes (15-minute, 1-hour, 4-hour, and daily) using TradingView’s `request.security()` function. This provides a broader view of market trend across different periods.
- **Scalp Entry Signal:**
A scalp signal is generated on the 15-minute timeframe. The conditions are:
- **For a Long Signal:**
The price must be above the 15-minute VWOP, at least one of the 1-hour or 4-hour VWOPs, and above the Daily VWOP.
- **For a Short Signal:**
The price must be below the 15-minute VWOP, at least one of the 1-hour or 4-hour VWOPs, and below the Daily VWOP.
If neither condition is met, the signal defaults to “NEUTRAL.”
7. Dashboard Display
- **Visual Table:**
A dashboard table is created and positioned on the top right of the chart. It presents:
- The VWOP value from the 15-minute timeframe, along with the scalp signal (LONG, SHORT, or NEUTRAL) shown in a color that reflects the signal’s nature.
- The VWOP values for the 1-hour, 4-hour, and Daily timeframes, each color-coded (green for bullish, red for bearish) based on their trend.
This table provides a quick, at-a-glance summary of the market’s behavior across multiple timeframes.
---
Conclusion
In summary, the VWOP Wizard indicator works by:
- **Combining an oscillator** (with user-selectable options) to drive dynamic adjustments.
- **Setting a variable lookback period** for a volume–weighted moving average based on the oscillator’s current value relative to its range.
- **Calculating and smoothing a VWOP line** using various averaging methods.
- **Determining trend direction** by comparing current and previous VWOP values.
- **Providing multi-timeframe insight** along with scalp entry signals via a dashboard display.
This design makes the indicator highly adaptive, offering insights into momentum shifts while accounting for volume, and ultimately assisting traders in making more informed decisions across different trading horizons.
Intrinsic Event (Multi DC OS)Overview
This indicator implements an event-based approach to analyze price movements in the foreign exchange market, inspired by the intrinsic time framework introduced in Fractals and Intrinsic Time - A Challenge to Econometricians by U. A. Müller et al. (1995). It identifies significant price events using an intrinsic time perspective and supports multi-agent analysis to reflect the heterogeneous nature of financial markets. The script plots these events as lines and labels on the chart, offering a visual tool for traders to understand market dynamics at different scales.
Key Features
Intrinsic Events : The indicator detects directional change (DC) and overshoot (OS) events based on user-defined thresholds (delta), aligning with the paper’s concept of intrinsic time (Section 6). Intrinsic time redefines time based on market activity, expanding during volatile periods and contracting during inactive ones, rather than relying on a physical clock.
Multi-Agent Analysis : Supports up to five agents, each with its own threshold and color settings, reflecting the heterogeneous market hypothesis (Section 5). This allows the indicator to capture the perspectives of market participants with different time horizons, such as short-term FX dealers and long-term central banks.
How It Works
Intrinsic Events Detection : The script identifies two types of events using intrinsic time principles:
Directional Change (DC) : Triggered when the price reverses by the threshold (delta) against the current trend (e.g., a drop by delta in an uptrend signals a "Down DC").
Overshoot (OS) : Occurs when the price continues in the trend direction by the threshold (e.g., a rise by delta in an uptrend signals an "Up OS").
DC events are plotted as solid lines, and OS events as dashed lines, with labels like "Up DC" or "OS Down" for clarity. The label style adjusts based on the trend to ensure visibility.
Multi-Agent Setup : Each agent operates independently with its own threshold, mimicking market participants with varying time horizons (Section 5). Smaller thresholds detect frequent, short-term events, while larger thresholds capture broader, long-term movements.
Settings
Each agent can be configured with:
Enable Agent : Toggle the agent on or off.
Threshold (%) : The percentage threshold (delta) for detecting DC and OS events (default values: 0.1%, 0.2%, 0.5%, 1%, 2% for agents 1–5).
Up Mode Color : Color for lines and labels in up mode (DC events).
Down Mode Color : Color for lines and labels in down mode (OS events).
Usage Notes
This indicator is designed for the foreign exchange market, leveraging its high liquidity, as noted in the paper (Section 1). Adjust the threshold values based on the instrument’s volatility—higher volatility leads to more intrinsic events (Section 4). It can be adapted to other markets where event-based analysis applies.
Reference
The methodology is based on:
Fractals and Intrinsic Time - A Challenge to Econometricians by U. A. Müller, M. M. Dacorogna, R. D. Davé, O. V. Pictet, R. B. Olsen, and J. R. Ward (June 28, 1995). Olsen & Associates Preprint.
Stunden-Markierer 10min vor/nach10 Vor und 10 Nach für die beste und schnellste Übersicht wann IPDA bucht
⚔️ ScalperX: Trap Sniper Pro
## ⚙️ **ScalperX: Trap Sniper Pro **
This script is a **smart money trap detector** built for scalpers and day traders who want to catch **reversals at liquidity sweeps** — before the big moves start.
It identifies **fakeouts**, **stop hunts**, and **trap wicks** by combining:
- Swing high/low sweeps
- Candle body confirmation
- VWAP bias
- Minimum volatility filter
---
### 🔍 Core Features:
- **Trap Wick Detection**
Detects if price sweeps a recent high or low and immediately rejects — classic liquidity grab behavior.
- **VWAP Trend Bias**
Ensures signals are only taken in the direction of institutional flow.
- **Minimum Movement Filter**
Filters out small or irrelevant candles — only signals when price range exceeds a set percentage (e.g., 0.3%).
- **Visual Debug Markers**
Triangles show sweep zones, circles show valid volatility — so you can see *why* a signal did or didn’t fire.
- **BUY / SELL Labels**
Signals are shown clearly when all trap and trend conditions align.
- **Alerts Built-In**
Set notifications for when trap signals appear in real time.
---
### 🧠 Strategy Logic:
**BUY Trap (Long Entry):**
- Price sweeps a recent low
- Candle closes bullish above VWAP
- Minimum range (e.g., 0.3%)
**SELL Trap (Short Entry):**
- Price sweeps a recent high
- Candle closes bearish below VWAP
- Minimum range (e.g., 0.3%)
---
### 🧪 Ideal For:
- Crypto scalpers (1m, 5m, 15m)
- Stop hunt reversal traders
- Smart money + liquidity-style systems
---
Failed Breakout DetectionThis indicator is a reverse-engineered copy of the FBD Detection indicator published by xfuturesgod. The original indicator aimed at detecting "Failed Breakdowns". This version tracks the opposite signals, "Failed Breakouts". It was coded with the ES Futures 15 minute chart in mind but may be useful on other instruments and time frames.
The original description, with terminology reversed to explain this version:
'Failed Breakouts' are a popular set up for short entries.
In short, the set up requires:
1) A significant high is made ('initial high')
2) Initial high is undercut with a new high
3) Price action then 'reclaims' the initial high by moving +8-10 points from the initial high
This script aims at detecting such set ups. It was coded with the ES Futures 15 minute chart in mind but may be useful on other instruments and time frames.
Business Logic:
1) Uses pivot highs to detect 'significant' initial highs
2) Uses amplitude threshold to detect a new high above the initial high; used /u/ben_zen script for this
3) Looks for a valid reclaim - a red candle that occurs within 10 bars of the new high
4) Price must reclaim at least 8 points for the set up to be valid
5) If a signal is detected, the initial high value (pivot high) is stored in array that prevents duplicate signals from being generated.
6) FBO Signal is plotted on the chart with "X"
7) Pivot high detection is plotted on the chart with "P" and a label
8) New highs are plotted on the chart with a red triangle
Notes:
User input
- My preference is to use the defaults as is, but as always feel free to experiment
- Can modify pivot length but in my experience 10/10 work best for pivot highs
- New high detection - 55 bars and 0.05 amplitude work well based on visual checks of signals
- Can modify the number of points needed to reclaim a high, and the # of bars limit over which this must occur.
Alerts:
- Alerts are available for detection of new highs and detection of failed breakouts
- Alerts are also available for these signals but only during 7:30PM-4PM EST - 'prime time' US trading hours
Limitations:
- Current version of the script only compares new highs to the most recent pivot high, does not look at anything prior to that
- Best used as a discretionary signal
RSI Buy/Sell SignalsRsI give Buy and Sell signal when rsi reaches the top and sell when it reaches the bottom.