Greer Gap# Greer Gap Indicator (No mitigation: i.e. removing false signals)
## Summary
The **Greer Gap Indicator** identifies **Fair Value Gaps (FVGs)** and introduces specialized **Greer Bull Gaps (Blue)** and **Greer Bear Gaps (Orange)** to highlight high-probability trading opportunities. Unlike traditional FVG indicators, it avoids hindsight bias by not removing historical gaps based on future price action, ensuring transparency in signal accuracy. Built upon LuxAlgo’s FVG logic, it adds unique filtering: only the first Greer Gap after an opposite gap is plotted if its level (min for Bull, max for Bear) is not higher/lower than the previous Greer Gap of the same type, while all valid gaps are recorded for comparison. Traders can use these gaps as support/resistance or entry signals, customizable via timeframe, look back, and display options.
## Description
This indicator detects and displays **Fair Value Gaps (FVGs)** on the chart, with a focus on specialized **Greer Gaps**:
- **Bullish Gaps (Green)**: Areas where the low of the current candle is above the high of a previous candle (look back period), indicating potential upward momentum.
- **Bearish Gaps (Red)**: Areas where the high of the current candle is below the low of a previous candle, indicating potential downward momentum.
- **Greer Bull Gaps (Blue)**: A bullish gap that is above the latest bearish gap's max. Only the first such gap after a bearish gap is plotted if it meets criteria (not higher than the previous Greer Bull Gap's min), but all valid ones are recorded for comparison.
- **Greer Bear Gaps (Orange)**: A bearish gap that is below the latest bullish gap's min. Only the first such gap after a bullish gap is plotted if it meets criteria (not lower than the previous Greer Bear Gap's max), but all valid ones are recorded.
## How It Works
The script uses a dynamic look back period to detect FVGs. It maintains a record of all detected gaps and applies additional logic for Greer Gaps:
- **Greer Bull Gaps**: Checks if the new bullish gap's min is above the latest bearish gap's max. Plots only if it's the first since the last bearish gap and its min is <= previous Greer Bull min (or first one).
- **Greer Bear Gaps**: Checks if the new bearish gap's max is below the latest bullish gap's min. Plots only if it's the first since the last bullish gap and its max is >= previous Greer Bear max (or first one).
- **Resets**: A new bearish gap resets the Greer Bull Gap flag, and a new bullish gap resets the Greer Bear Gap flag.
## How to Use
- **Timeframe**: Set a higher timeframe (e.g., 'D' for daily) to detect gaps from that timeframe on the current chart.
- **Look back Period**: Adjust to change gap detection sensitivity (default: 34). Use 2 if you want to compare to LuxAlgo
- **Extend**: Controls how far right the gap boxes extend.
- **Show Options**: Toggle visibility of all bullish/bearish gaps or Greer Gaps.
- **Colors**: Customize colors for each gap type.
- **Application**: Use Greer Gaps as potential support/resistance levels or entry signals, but combine with other analysis for confirmation.
## Originality and Credits
This script is inspired by and builds upon the **"Fair Value Gap "** indicator by LuxAlgo (available on TradingView: ()).
**Credits**: Thanks to LuxAlgo for the core FVG detection logic.
**Significant Changes**:
- Added **Greer Bull and Bear Gap** logic for filtered, directional gaps with reset mechanisms.
- Introduced recording of all valid Greer Gaps without plotting all, to compare levels without hindsight bias.
- **No mitigation/removal of gaps**: Unlike LuxAlgo's approach, which mitigates (removes or alters) gaps based on future price action (e.g., when filled), this can create a hindsight bias where incorrect signals disappear over time. If a signal is used for a trade and later removed due to new data, it doesn't reflect real-time performance accurately. The Greer Gap avoids this by using gap comparisons to validate signals without altering historical boxes, ensuring transparency in when signals were right or wrong.
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PumpC ATR Line LevelsPumpC ATR Line Levels
Overview
PumpC ATR Line Levels is a volatility-based indicator that projects potential expansion levels from the previous session’s close using the Average True Range (ATR). This tool builds upon the Previous OHLC framework created by Nephew_Sam_ by extending its session-handling logic and adding ATR-based levels, statistical tracking, and flexible visualization options.
How It Works
Calculates ATR from a user-selectable higher timeframe (default: Daily).
Projects levels above and below the previous session’s close (or current close when preview mode is enabled).
Supports up to 5 ATR multiples, each with independent toggles, colors, and labels.
Optionally displays only the most recent ATR session for clarity.
Includes a data table tracking how often ATR levels are reached or closed beyond.
Features
Configurable ATR timeframe and length (default: 21).
Default multiples: 0.30, 0.60, 0.90; optional: 1.236, 2.00.
Toggle for preview mode (using current close vs. locked prior session close).
Customizable line style, width, colors, and label placement.
Visibility filter to show only on chart TF ≤ 60 minutes.
Session statistics table with counts and percentages of level interactions.
Use Cases
Identify intraday expansion targets or stop placement zones based on volatility.
Evaluate historical tendencies of price respecting or breaking ATR bands.
Support volatility-adjusted trade planning with statistical validation.
Acknowledgment
This script was developed on top of the Previous OHLC indicator by Nephew_Sam_ , with major modifications to implement ATR-driven levels, extended statistics, and customizable table output.
Notes
This indicator does not generate buy/sell signals.
Best applied to intraday charts anchored to a higher-timeframe ATR.
Keep charts clean and avoid non-standard bar types when publishing.
Fisher //@version=5
indicator("Fisher + EMA + Histogram (Working)", overlay=false)
// Inputs
fLen = input.int(125, "Fisher Length")
emaLen = input.int(21, "EMA Length")
src = input.source(close, "Source")
// Fisher Transform
var float x = na
minL = ta.lowest(src, fLen)
maxH = ta.highest(src, fLen)
rng = maxH - minL
val = rng != 0 ? (src - minL) / rng : 0.5
x := 0.33 * 2 * (val - 0.5) + 0.67 * nz(x )
x := math.max(math.min(x, 0.999), -0.999)
fish = 0.5 * math.log((1 + x) / (1 - x))
// EMA of Fisher
fishEma = ta.ema(fish, emaLen)
// Histogram
hist = fish - fishEma
histColor = hist >= 0 ? color.new(color.lime, 50) : color.new(color.red, 50)
plot(hist, style=plot.style_histogram, color=histColor, title="Histogram")
// Fisher Plot
fishColor = fish > 2 ? color.red : fish < -2 ? color.lime : color.teal
plot(fish, "Fisher", color=fishColor, linewidth=2)
plot(fishEma, "Fisher EMA", color=color.orange, linewidth=2)
// Horizontal Lines
hline(2, "Upper Extreme", color=color.new(color.red, 70))
hline(-2, "Lower Extreme", color=color.new(color.green, 70))
hline(0, "Zero", color=color.gray)
// Cross Signals
bull = ta.crossover(fish, fishEma)
bear = ta.crossunder(fish, fishEma)
plotshape(bull, style=shape.triangleup, location=location.bottom, color=color.lime, size=size.tiny)
plotshape(bear, style=shape.triangledown, location=location.top, color=color.red, size=size.tiny)
// Background for extremes
bgcolor(fish > 2 ? color.new(color.red, 80) : fish < -2 ? color.new(color.green, 80) : na)
WCWebLibLibrary "WCWebLib"
method buildWebhookJson(msg, constants)
Builds the final JSON payload from a webhookMessage type.
Namespace types: webhookMessage
Parameters:
msg (webhookMessage) : (webhookMessage) A prepared webhookMessage.
constants (CONSTANTS)
Returns: A JSON Payload.
method buildTakeProfitJson(msg)
Builds the takeProfit JSON message to be used in a webhook message.
Namespace types: takeProfitMessage
Parameters:
msg (takeProfitMessage)
method buildStopLossJson(msg, constants)
Builds the stopLoss JSON message to be used in a webhook message.
Namespace types: stopLossMessage
Parameters:
msg (stopLossMessage)
constants (CONSTANTS)
CONSTANTS
Constants for payload values.
Fields:
ACTION_BUY (series string)
ACTION_SELL (series string)
ACTION_EXIT (series string)
ACTION_CANCEL (series string)
ACTION_ADD (series string)
SENTIMENT_BULLISH (series string)
SENTIMENT_BEARISH (series string)
SENTIMENT_LONG (series string)
SENTIMENT_SHORT (series string)
SENTIMENT_FLAT (series string)
STOP_LOSS_TYPE_STOP (series string)
STOP_LOSS_TYPE_STOP_LIMIT (series string)
STOP_LOSS_TYPE_TRAILING_STOP (series string)
EXTENDEDHOURS (series bool)
ORDER_TYPE_LIMIT (series string)
ORDER_TYPE_MARKET (series string)
TIF_DAY (series string)
webhookMessage
Final webhook message.
Fields:
ticker (series string)
action (series string)
sentiment (series string)
price (series float)
quantity (series int)
takeProfit (series string)
stopLoss (series string)
extendedHours (series bool)
type (series string)
timeInForce (series string)
takeProfitMessage
Take profit message.
Fields:
limitPrice (series float)
percent (series float)
amount (series float)
stopLossMessage
Stop loss message.
Fields:
type (series string)
percent (series float)
amount (series float)
stopPrice (series float)
limitPrice (series float)
trailPrice (series float)
trailPercent (series float)
Playbook//@version=6
indicator('Playbook', overlay = true, scale = scale.right)
// === Inputs ===
useYesterdayPOC = input.bool(true, 'Use Yesterday\'s POC (else Today’s Developing)')
atrLength = input.int(14, 'ATR Length', minval = 1)
stretchMult = input.float(1.5, 'Stretch Threshold (in ATRs)', minval = 0.1, step = 0.1)
showBands = input.bool(true, "Show Stretch Bands")
useAnchoredVWAP = input.bool(true, "Show Anchored VWAP")
anchorDate = input.time(timestamp("01 Jan 2023 00:00 +0000"), "VWAP Anchor Date")
// === ATR ===
atr = ta.atr(atrLength)
isNewDay = ta.change(time('D')) != 0
// === VWAP as POC Approximation ===
todayVWAP = ta.vwap
var float yVWAP = na
if isNewDay
yVWAP := todayVWAP
activePOC = useYesterdayPOC and not na(yVWAP) ? yVWAP : todayVWAP
// === Stretch Bands ===
upperBand = activePOC + atr * stretchMult
lowerBand = activePOC - atr * stretchMult
// Plot stretch bands
pocColor = color.yellow
bandFill = plot(upperBand, "Upper Band", color=color.red, linewidth=1, display=showBands ? display.all : display.none)
bandFill2 = plot(lowerBand, "Lower Band", color=color.green, linewidth=1, display=showBands ? display.all : display.none)
pocLine = plot(activePOC, "POC Target", color=pocColor, linewidth=2)
fill(bandFill, bandFill2, color=color.new(color.gray, 90))
// === Anchored VWAP ===
anchoredVWAP = ta.vwap(ta.change(time) >= anchorDate ? close : na)
plot(useAnchoredVWAP ? anchoredVWAP : na, "Anchored VWAP", color=color.blue, linewidth=2)
// === STATUS TABLE ===
var table statusTable = table.new(position.bottom_right, 1, 1, border_width=1, border_color=color.gray)
insideBands = close <= upperBand and close >= lowerBand
statusText = insideBands ? "WAIT" : "TRADE AVAILABLE"
statusColor = insideBands ? color.orange : color.green
table.cell(statusTable, 0, 0, statusText, text_color=color.rgb(5, 4, 4), bgcolor=statusColor)
// === Heatmap ===
bgcolor(close > upperBand ? color.new(color.red, 80) : close < lowerBand ? color.new(color.green, 80) : color.new(color.orange, 90))
Retail Sentiment Indicator - Multi-Asset CFD & Fear/Greed IndexRetail Sentiment Indicator - Multi-Asset CFD & Fear/Greed Index
Overview
The Retail Sentiment Indicator provides real-time sentiment data for major financial instruments including stocks, forex, commodities, and cryptocurrencies. This indicator displays retail trader positioning and market sentiment using CFD data and fear/greed indices.
Methodology and Scale Calculation
This indicator operates on a **-50 to +50 scale** with zero representing perfect market equilibrium.
Scale Interpretation:
- **Zero (0)**: Market balance - exactly 50% of investors buying, 50% selling
- **Positive values**: Majority buying pressure
- Example: If 63% of investors are buying, the indicator shows +13 (63 - 50 = +13)
- **Negative values**: Majority selling pressure
- Example: If 92% of investors are selling, the indicator shows -42 (50 - 92 = -42)
BTC Fear & Greed Index Scaling:
The original `BTC FEAR&GREED` index is natively scaled from 0-100 by its creator. In our indicator, this data has been rescaled to also fit the -50 to +50 range for consistency with other sentiment data sources.
This unified scaling approach allows for direct comparison across all instruments and data sources within the indicator.
-Important Data Source Selection-
Bitcoin (BTC) Data Sources
When viewing Bitcoin charts, the indicator offers **two different data sources**:
1. **Default Auto-Mode**: `BTCUSD Retail CFD` - Retail CFD traders sentiment data (automatically loaded).
2. **Manual Selection**: `BTC FEAR&GREED` - Fear & Greed Index from website: alternative dot me
**To access BTC Fear & Greed Index**: Input settings -> disable checkbox "Auto-load Sentiment Data" -> manually select "BTC FEAR&GREED" from the dropdown menu.
US Stock Market Data Sources
For US stocks and indices (S&P 500, NASDAQ, Dow Jones), there are **two data source options**:
1. **Default Auto-Mode**: Individual retail CFD sentiment data for each instrument
2. **Manual Selection**: `SNN FEAR&GREED` - SNN's Fear & Greed Index covering the overall US market sentiment. SNN was used as the name to avoid any potential trademark infringement.
**To access SNN Fear & Greed Index**: When viewing US market charts, disable in input settings checkbox "Auto-load Sentiment Data" and manually select "SNN FEAR&GREED" from the dropdown menu.
This distinction allows traders to choose between **instrument-specific retail sentiment** (auto-mode) or **broader market sentiment indices** (manual selection).
Features
- **Auto-Detection**: Automatically loads sentiment data based on the current chart symbol
- **Manual Selection**: Choose from 40+ supported instruments when auto-detection is unavailable
- **Multiple Data Sources**: Combines retail CFD sentiment with Fear & Greed indices
- **Visual Zones**: Clear greed/fear zones with color-coded backgrounds
- **Real-time Updates**: Live sentiment data from merged data sources
Supported Instruments
Major Indices
- S&P 500, NASDAQ, Dow Jones 30, DAX
Forex Pairs
- Major pairs: EURUSD, GBPUSD, USDJPY, USDCHF, USDCAD
- Cross pairs: EURJPY, GBPJPY, AUDUSD, NZDUSD, and 20+ others
Commodities
- Precious metals: Gold (XAUUSD), Silver (XAGUSD)
- Energy: WTI Oil
- Agricultural: Wheat, Coffee
- Industrial: Copper
Cryptocurrencies
- Bitcoin (BTC) sentiment data
- BTC & SNN Fear & Greed indices
How to Use
1. **Auto Mode** (Default): Enable "Auto-load Sentiment Data" to automatically display sentiment for the current chart symbol
2. **Manual Mode**: Disable auto-load and select from the dropdown menu for specific instruments
3. **Interpretation**:
- Values above 0 (green) indicate retail greed/bullish sentiment
- Values below 0 (red) indicate retail fear/bearish sentiment
- Fear & Greed indices use 0-100 scale (50 is neutral)
Data Sources
This indicator uses curated sentiment data from retail CFD providers and established fear/greed indices. Data is updated regularly and sourced from reputable financial data providers.
Trading Strategy & Market Philosophy
Contrarian Trading Approach
The primary purpose of this indicator is based on the fundamental market principle that **the majority of retail investors are often wrong**, and markets typically move opposite to the positions held by the majority of market participants.
Key Strategy Guidelines:
- **Contrarian Signal**: When the majority of users are positioned on one side of the market, there is statistically greater market advantage in taking positions in the opposite direction
- **Trend Exhaustion Signal**: An interesting observed phenomenon occurs when, during a long-lasting trend where the majority of investors have consistently been on the wrong side, the Sentiment indicator suddenly shows that the majority has flipped and opened positions in the direction of that long-running trend. This is often a signal of fuel exhaustion for further movement in that direction
Interpretation Examples
- High greed readings (majority bullish) → Consider bearish opportunities
- High fear readings (majority bearish) → Consider bullish opportunities
- Sudden sentiment flip during established trends → Potential trend reversal signal
Technical Notes
- Built with PineScript v6
- Dynamic symbol detection with fallback options
- Optimized for performance with minimal resource usage
- Color-coded visualization with customizable zones
Data Sources & Expansion
Acknowledgments
We extend our gratitude to **TradingView** for enabling the use of custom data feeds based on GitHub repositories, making this comprehensive sentiment analysis possible.
Data Expansion Opportunities
As the operator of this indicator, I am **open to suggestions for new data sources** that could be integrated and published. If you have ideas for additional instruments or sentiment data:
How to Submit Suggestions:
1. Send a **private message** with your proposal
2. Include: **instrument/data type**, **source**, and **brief description**
3. If technically feasible, we will work to import and publish the data
Data Infrastructure Status
Current Data Upload Process:
Please note that sentiment data uploads may occasionally experience minor interruptions. However, this should not pose significant issues as sentiment data typically changes gradually rather than rapidly.
Infrastructure Development:
We are actively working on establishing permanent cloud-based infrastructure to ensure continuous, automated data collection and upload processes. This will provide more reliable and consistent data availability in the future.
Disclaimer
This indicator is for educational and informational purposes only. Sentiment data should be used as part of a comprehensive trading strategy and not as the sole basis for trading decisions. Past performance does not guarantee future results. The contrarian approach described is a market theory and may not always produce profitable results.
On-Chain Metrics & Z-Mode SelectionThis indicator provides an on-chain metric analysis framework for cryptocurrencies (currently limited to) BTC and ETH; allowing users to select from popular metrics such as SOPR, Profit Addresses %, NUPL, or MVRV.
It enables various analyses on the chosen metric to capture momentum and rate of change dynamics over time.
Analyses include:
Normalization techniques utilizing Mean or Median with standard deviation, as well as a 'Robust' method using interquartile range-based Z-scoring to accommodate skewed distributions, or raw values without normalization.
An optional differential calculation that highlights the rate of change (first derivative) of the metric.
Moving average smoothing with up to two passes, supporting EMA, SMA, or WMA types.
Optional sigmoid-based compression that scales and centers the indicator output, improving interpretability, mitigating extreme outliers, and allowing the user to scale the output so that the step size or increment of the long and short thresholds remains within a workable range.
Buy and sell signals are generated based on configurable long and short thresholds applied to the processed output.
Visual components such as trend colouring, threshold lines, background shading, and labels make it simple for traders to identify entry signals.
This indicator is suitable for those looking to integrate blockchain behavioral insights into their trading decisions.
Overall, this script transforms complex on-chain data into actionable trade signals by combining adaptive normalization and smoothing techniques. Its versatility and multi-metric support make it a valuable tool for both market monitoring and strategy development.
No financial decisions should be made based solely on this indicator. Always conduct your own research. .
Acknowledgements
Inspiration drawn from: CipherDecoded
IFVG Extended + Entry/TPs IFVG Extended + Entry/TPs this is high winrate hands free just follow the system
Trader Marks Trailing SL + TP (BE @ 66%)📌 Title
Trader Marks Trailing SL + TP (BE @ 66%)
📌 Description
This indicator combines Stop-Loss, Take-Profit, and Trailing Stop management into one tool.
It offers two different modes:
S/L+ EXACT → Reproduces the classic ATR Trailing Stop Indicator (by ZenAndTheArtOfTrading) with full accuracy.
Advanced (Delay + BE + Ratchet) →
Uses a fixed SL until X hours after entry
Then switches to ATR-based trailing stop (ratchet, never reverses)
Moves the stop to Break-Even once Y% of the distance to the target has been reached
📌 Features
✅ Two modes: Classic & Advanced
✅ Works for both Long & Short trades
✅ Manual entry, SL and TP levels
✅ Start delay for trailing (e.g. 12 hours)
✅ ATR-based ratcheting (never moves backwards)
✅ Automatic Break-Even stop at 66% of the way to TP (adjustable)
✅ Visual plots for Entry, SL, TP, current Stop, and 66%-threshold
✅ Alerts for Stop-Hit, TP-Hit, and BE activation
📌 Parameters
Setup
Direction: Long / Short
Entry Price
Stop-Loss
Take-Profit (manual)
Mode
S/L+ EXACT
Advanced (Delay+BE+Ratchet)
S/L+ Parameters
ATR Length (default 14)
High/Low lookback (default 7)
ATR Multiplier (default 1.0)
Basis: High/Low, Close, or Open
Advanced Parameters
ATR Length (e.g. 14)
ATR Multiplier (e.g. 1.0)
Update only on bar close (true/false)
Start delay in hours (e.g. 12)
BE Threshold in % of distance to TP (default 66%)
Option to stop trailing after BE
📌 Alerts
Stop Hit (Long)
Stop Hit (Short)
TP Reached (Long)
TP Reached (Short)
Break-Even Active
📌 Recommended Defaults
Mode: Advanced (Delay+BE+Ratchet)
ATR Length: 14
Lookback: 7
ATR Multiplier: 1.0
Start Delay: 12 hours
Break-Even Threshold: 66%
rockstarluvit's a stochastics and trend indicator, where rockstars csan trade like winnners and stay away from crazy divergewnces.
Calculator - AOC📊 Calculator - AOC Indicator 🚀
The Calculator - AOC indicator is a powerful and user-friendly tool designed for TradingView to help traders plan and visualize trades with precision. It calculates key trade metrics, displays entry, take-profit (TP), stop-loss (SL), and liquidation levels, and provides a clear overview of risk management and potential profits. Perfect for both novice and experienced traders! 💡
✨ Features
📈 Trade Planning: Input your Entry Price, Take Profit (TP), Stop Loss (SL), and Trade Direction (Long/Short) to visualize your trade setup on the chart.
💰 Risk Management: Set your Initial Capital and Risk per Trade (%) to calculate the optimal Position Size and Risk Amount for each trade.
⚖️ Leverage Support: Define your Leverage to compute the Required Margin and Liquidation Price, ensuring you stay aware of potential risks.
📊 Risk/Reward Ratio: Automatically calculates the Risk-to-Reward Ratio to evaluate trade profitability.
🎨 Visuals: Displays Entry, TP, SL, and Liquidation levels as lines and boxes on the chart, with customizable Line Width, Line Style, and Label Size.
✅ Trade Validation: Checks if your trade setup is valid (e.g., correct TP/SL placement) and highlights issues like potential liquidation risks with color-coded statuses (Correct ✅, Incorrect ❌, or Liquidation ⚠️).
📋 Summary Table: A clean, top-right table summarizes key metrics: Capital, Risk %, Risk Amount, Position Size, Potential Profit, Risk/Reward, Margin, Liquidation Price, Trade Status, and % to TP/SL.
🖌️ Customization: Adjust Line Extension (Bars) for how far lines extend, and choose from Solid, Dashed, or Dotted line styles for a personalized chart experience.
🛠️ How to Use
Add to Chart: Apply the indicator to your TradingView chart.
Configure Inputs:
Accountability: Set your Initial Capital and Risk per Trade (%).
Target: Enter Entry Price, TP, and SL prices.
Leverage: Specify your leverage (e.g., 10x).
Direction: Choose Long or Short.
Display Settings: Customize Line Width, Line Style, Label Size, and Line Extension.
Analyze: The indicator plots Entry, TP, SL, and Liquidation levels on the chart and displays a table with all trade metrics.
Validate: Check the Trade Status in the table to ensure your setup is valid or if adjustments are needed.
🎯 Why Use It?
Plan Smarter: Visualize your trade setup and understand your risk/reward profile instantly.
Stay Disciplined: Precise position sizing and risk calculations help you stick to your trading plan.
Avoid Mistakes: Clear validation warnings prevent costly errors like incorrect TP/SL placement or liquidation risks.
User-Friendly: Intuitive visuals and a summary table make trade analysis quick and easy.
📝 Notes
Ensure Entry, TP, and SL prices align with your trade direction to avoid "Incorrect" or "Liquidation" statuses.
The indicator updates dynamically on the latest bar, ensuring real-time visuals.
Best used with proper risk management to maximize trading success! 💪
Happy trading! 🚀📈
Range Trading Strategy
This indicator automatically marks the intraday trading range defined by the first four hours of the New York session (6:00 AM to 10:00 AM EST/EDT).
It calculates the highest high and lowest low within that window on a user-selected calculation timeframe, then projects those levels forward as horizontal lines that remain visible across any chart timeframe.
The lines can be displayed in real time while the window is forming or locked once the session ends, and optional price labels and background shading make the range easy to track.
Traders can use these reference levels to monitor potential breakout or reversal zones, manage risk, and plan entries/exits relative to the early session’s defined support and resistance.
For training check this video youtu.be
Stockbee ComboBearCustom indicator for identifying stocks that meet the Stockbee's ComboBear criteria. This can be used as a standalone indicator or use it to screen for stocks in Pine Screener.
ComboBearCustom indicator for identifying stocks that meet the Stockbee's ComboBear criteria. This can be used as a standalone indicator or use it to screen for stocks in Pine Screener.
Stockbee ComboBullCustom indicator for identifying stocks that meet the ComboBull criteria. This can be used as a standalone indicator or use it to screen for stocks in Pine Screener.
🟥 Synthetic 10Y Real Yield (US10Y - Breakeven)This script calculates and plots a synthetic U.S. 10-Year Real Yield by subtracting the 10-Year Breakeven Inflation Rate (USGGBE10) from the nominal 10-Year Treasury Yield (US10Y).
Real yields are a core macro driver for gold, crypto, growth stocks, and bond pricing, and are closely monitored by institutional traders.
The script includes key reference lines:
0% = Below zero = deeply accommodative regime
1.5% = Common threshold used by macro desks to evaluate gold upside breakout conditions
📈 Use this to monitor macro shifts in real-time and front-run capital flows during major CPI, NFP, and Fed events.
Update Frequency: Daily (based on Treasury market data)
FNGAdataCloseClose prices for FNGA ETF (Dec 2018–May 2025)
The Close prices for FNGA ETF (December 2018 – May 2025) represent the final trading price recorded at the end of each regular U.S. market session (4:00 p.m. Eastern Time) over the entire lifespan of this leveraged exchange-traded note. Initially issued under the ticker FNGU and later rebranded as FNGA in March 2025 before its redemption in May 2025, the product was designed to provide 3x daily leveraged exposure to the MicroSectors FANG+™ Index, which tracks a concentrated group of large-cap technology and tech-enabled growth leaders such as Apple, Amazon, Meta (Facebook), Netflix, and Alphabet (Google).
Close prices are widely regarded as the most important reference point in market data because they establish the official end-of-day valuation of a security. For leveraged products like FNGA, the closing price is especially critical, since it directly determines the reset value for the following trading session. This daily compounding effect means that FNGA’s closing levels often diverged significantly from the long-term performance of its underlying index, creating both opportunities and risks for traders.
FNGAdataLow“Low prices for FNGA ETF (Dec 2018–May 2025)
The Low prices for FNGA ETF (December 2018 – May 2025) capture the lowest trading price reached during each regular U.S. market session over the entire lifespan of this leveraged exchange-traded note. Initially launched under the ticker FNGU, and later rebranded as FNGA in March 2025 before its eventual redemption, the fund was structured to deliver 3x daily leveraged exposure to the MicroSectors FANG+™ Index. This index concentrated on a small basket of leading technology and tech-enabled growth companies such as Meta (Facebook), Amazon, Apple, Netflix, and Alphabet (Google), along with a few other innovators.
The Low price is particularly important in the study of FNGA because it highlights the intraday downside extremes of a highly volatile, leveraged product. Since FNGA was designed to reset leverage daily, its lows often reflected moments of amplified market stress, when declines in the underlying FANG+™ stocks were multiplied through the 3x leverage structure.
FNGAdataHighHigh prices for FNGA ETF (Dec 2018–May 2025)
The High prices for FNGA ETF (December 2018 – May 2025) represent the maximum trading price reached during each regular U.S. market session over the entire trading lifespan of this leveraged exchange-traded note. Originally issued under the ticker FNGU, and later rebranded as FNGA in March 2025 before its redemption, the fund was designed to deliver 3x daily leveraged exposure to the MicroSectors FANG+™ Index. This index focused on a concentrated group of large-cap technology and technology-enabled companies such as Facebook (Meta), Amazon, Apple, Netflix, and Google (Alphabet), along with a few other growth leaders.
The High price data from December 2018 through May 2025 is crucial for understanding how FNGA behaved during intraday trading sessions. Because FNGA was a daily resetting 3x leveraged product, its intraday highs often displayed extreme sensitivity to movements in the underlying FANG+™ stocks, resulting in sharp upward spikes during bullish days and pronounced volatility during broader market rallies.
Momentum+This script provides a colored histogram of recent price action with the price derivative method for finding momentum.
BTC Sigma CloudOverview
The BTC Sigma Cloud indicator calculates and displays 1, 2, and 3 sigma price movements for Bitcoin (BTC) on a rolling basis, visualized as a cloud. It shows historical volatility bands and projects them forward for the next 7 days.
Settings:
Vol Lookback: Default is 20 periods. Adjust to change the volatility calculation window.
Interpretation:
Cloud Bands: The cloud consists of three shaded layers representing 1σ, 2σ, and 3σ moves above and below the current price.
1σ (Innermost): 68% probability of price staying within this range.
2σ (Middle): 95% probability.
3σ (Outermost): 99.7% probability.
Historical View: The cloud tracks past price movements based on volatility.
Projection: The cloud extends 7 days forward, indicating potential price ranges based on current volatility.
Labels: Subtle labels (1σ, -1σ, 2σ, -2σ, 3σ, -3σ) mark the upper and lower bounds of each sigma level on the latest bar for clarity.
Trading Use:
Use the cloud to gauge potential support/resistance zones.
Monitor price behavior near sigma levels for breakout or reversal signals.
The projected cloud helps anticipate future price ranges for planning trades.
Notes
Best used on daily charts for Bitcoin.
Adjust the lookback period to suit shorter or longer-term analysis.
Combine with other indicators for confirmation.
FNGAdataOpenOpen prices for FNGA ETF (Dec 2018–May 2025)
The FNGA ETF (originally launched under the FNGU ticker before being renamed in March 2025) tracked the MicroSectors FANG+™ Index with 3x daily leverage and was designed to give traders magnified exposure to a concentrated basket of large-cap technology and tech-enabled companies. The fund’s price history contains multiple phases due to ticker changes, corporate actions, and its eventual redemption in mid-2025.
When looking specifically at Open prices from December 2018 through May 2025, this dataset provides the daily opening values for FNGA across its entire lifecycle. The opening price is the first traded price at the start of each regular U.S. market session (9:30 a.m. Eastern Time). It is an important measure for traders and analysts because it reflects overnight sentiment, pre-market positioning, and often sets the tone for intraday volatility.
