Zindarra Multi Alerts Advanced (8 Symbols, 8 Levels) by RRBZindarra Multi Alerts Advanced by RRB by RagingRocketBull 2018
Version 1.0
This indicator lets you configure multiple alert levels for several assets. Zindarra Multi Alerts Advanced supports 8 symbols with 8 custom alert levels.
You can have an M:M relationship betweeen symbols and levels, for example:
- 4 symbols each boxed by 2 alerts above/below the price
- 3 symbols with 1 alert each
- 2 symbols, 1st with 2 alerts, 2nd - with 6 alerts
- 1 symbol with 8 alerts etc
There are several versions: Simple, Pro, Advanced and Ultimate. This is the Advanced version. The Differences are listed below.
- Simple: 10 Alert Levels, 1 plot mode, alert type: cross, no colors/triggered alerts
- Pro: 9 Alert Levels, 2 plot modes: plot/price line, alert type: cross, +change/swap colors, +hide/disable triggered alerts, 2 penetration modes (close, high/low), trigger on confirmed close
- Advanced: 8 Symbols/Tickers, 8 Alert Levels, +alert types: cross up/cross down, no color change. Display sources as lines/candles, normalize, scale/shift independently
- Ultimate: 5 Symbols/Tickers, 8 Alert Levels, +alert types: volume/price %/abs change, volume/ema/time cross
Features:
- 8 custom symbols, symbols:levels = M:M
- 8 custom alert levels with labels. For each alert there must be a corresponding non-empty symbol (can be a duplicate)
- alert types: cross/cross up/cross down
- normalize symbols (and alert levels) to 100% to compare,
- scale and shift each symbol (and alert levels) to position on a chart independently
- 1 alert levels plot mode: plot
- 2 symbol types: line/candles
- colorize symbol candles
- high/low or close level penetration modes
- show/hide levels/labels
- keep or auto disable triggered alerts
- trigger alerts only after a confirmed close
You will see all symbols on a single chart at the same time with their corresponding alert levels. From this chart you can manage all alerts configured for multiple assets.
Although TradingView has 2 percentage scale modes (Percent, Indexed to 100), somehow they still fail to be usefull when comparing multiple assets.
This indicator lets you normalize all symbols to 100% making a direct single scale comparison between assets with vastly different price levels possible.
All alert levels will be normalized as well.
TradingView does not let you move the plots attached to left scale. When scaled they all remain stuck in the center and can't be moved vertically or relative to each other.
This indicator lets you position all symbols independently using individual scale and shift settings. For example, you can:
- split your screen in 3 horiz areas and have a symbol in each of them without overlapping or
- have several partially overlapping assets with different scale each or
- have all assets fully overlapping and normalized to the same 100% scale
You have to manually create an alert in Manage Alerts Panel and configure it to use with this indicator.
Free accounts are limited to only 1 alert slot and this indicator will take it (any existing alerts must be disabled/stopped).
Once the alert is configured, the indicator can be removed from chart to free a slot for another indicator, but you won't see the alert levels.
Usage:
1. attach indicator to a chart
2. define alert levels in UI settings
3. in TradingView's Manage Alerts panel on the right:
- for free accounts: disable/stop all existing alerts, you are limited to 1 alert slot only. Otherwise you won't be able to save.
- create a new Alert:
- select 'Multi Alerts' indicator name in the Condition dropdown box, leave Level 1 and Multi Alerts Cross as default options
- select 'Once Per Bar' or 'Once Per Minute' instead of 'Only Once' to trigger the alert multiple times
5. click Save. Your 9 alerts are enabled now.
Change Settings:
1. change levels/settings in UI. Any changes will also reset already triggered levels visibility.
2. in Manage Alerts panel:
- open/edit the alert you created
- select new instance of 'Multi Alerts' indicator name in the Condition dropdown box (appears at the bottom)
- check the Condition dropdown again - a single instance should remain selected.
3. click Save. Your alert settings are updated.
Notes on using alerts:
- attaching this indicator to a chart and configuring alert levels will not automatically enable the alerts - you have to manually create/configure a new alert in the Alerts Panel
- removing this indicator from chart will not disable the alerts, you have to manually disable the alert you created in the Alerts Panel
- your alert in the Alerts Panel uses another instance (copy) of indicator/settings. Any changes won't affect the alert. You have to manually update the alert every time you change any settings in the indicator.
- recompiling and attaching your own version of indicator will require creating a new Alert (delete the old one).
- alerts are designed to work in realtime. In replay mode you will see triggered alert levels hiding/changing colors but there will be no system alert messages. It's best to test the indicator in realtime on M1 (1 min) chart
- you will only see 1 system alert per bar/60 sec when multiple alert levels are crossed with a single bar or across several symbols at the same time. However all of these levels will hide in the indicator as expected.
- you can only see the alert levels when the indicator is attached to chart, they are not shown by the system alert.
- For source=high/low a directional level penetration is used automatically (crossunder/low and crossover/high). For source=close a standard bidirectional cross is used unless another alert type is specified.
- normalization breaks/distorts alert levels and symbol price - this is normal and is expected. To view the real price of alert levels uncheck normalize - the first 8 outputs are alert levels. Unnormalized levels are straight lines.
- you will see alerts from all symbols in the system alert message box of the current symbol - a bit confusing, but there's no workaround, you can't have a customized alert message for each symbol/level
- many tickers as arguments can stretch/break TradingView's Create New Alert dialog but it's still possible to push all required buttons and Save.
- duplicate symbols will be displayed by default. You can manually hide duplicates using show/hide flags.
- empty tickers (and corresponding alerts) are essentially disabled
1. uses plot*, cross*, barssince, highest, security, alertcondition
Cerca negli script per "tradingview+金龙指数"
The Always Winning Holy Grail Strategy - Not (by ChartArt)How to win all the time if 1+1 = 2
The most upvoted strategies on Tradingview are those which seemingly work 100%, but they actually don't at all because they are repainting and would not work in live trading reality. They are using the multi-time-frame strategy testing bug and thereby trade during the backtest on close prices before the bar has closed in reality.
Top list of these cheating repainting strategies:
1569 upvotes ANN Strategy
877 upvotes Vdub FX SniperVX3 Strategy
481 upvotes Get Trend Strategy
I guess there are much more strategies among the top upvoted strategies on Tradingview which cheat with a multi-time-frame close price, but three examples are enough. The ANN Strategy uses the daily close price as multi-time-frame and cheats with that. The Vdub FX SniperVX3 Strategy uses the half-day (720 minute) close price to cheat and the Get Trend Strategy uses the 160 minute bar close for repaint cheating (at least here the author of this strategy explains that his strategy is only demo and would not work, which might be the reason why it has 1000 less upvotes than the ANN Strategy. I already wrote months ago a comment underneat these strategies to explain this issue but it hasn't stopped these strategies from getting more and more upvotes and staying in the top list.
I thought this way of cheating is lame, so I invented a new way to cheat my way to seemingly reach 100% profitable trades all the time by going long if 1+1 is equal to 2. Welcome to super wide stop losses. Simply use a extreme unrealistic large stop loss and take profit after a realistic amount of pips and according to Tradingview's current backtest module you win 100% all the time. Yay! :)
My recommendation for the Tradingview team is to add a function to let the user define a stop out and margin call level and maybe set a realistic setting as default, like 100%.
Please don't trade with this strategy!
Acc/Dist. Cloud with Fractal Deviation Bands by @XeL_ArjonaACCUMULATION / DISTRIBUTION CLOUD with MORPHIC DEVIATION BANDS
Ver. 2.0.beta.23:08:2015
by Ricardo M. Arjona @XeL_Arjona
DISCLAIMER
The Following indicator/code IS NOT intended to be a formal investment advice or recommendation by the author, nor should be construed as such. Users will be fully responsible by their use regarding their own trading vehicles/assets.
The embedded code and ideas within this work are FREELY AND PUBLICLY available on the Web for NON LUCRATIVE ACTIVITIES and must remain as is.
Pine Script code MOD's and adaptations by @XeL_Arjona with special mention in regard of:
Buy (Bull) and Sell (Bear) "Power Balance Algorithm by Vadim Gimelfarb published at Stocks & Commodities V. 21:10 (68-72).
Custom Weighting Coefficient for Exponential Moving Average (nEMA) adaptation work by @XeL_Arjona with contribution help from @RicardoSantos at TradingView @pinescript chat room.
Morphic Numbers (PHI & Plastic) Pine Script adaptation from it's algebraic generation formulas by @XeL_Arjona
Fractal Deviation Bands idea by @XeL_Arjona
CHANGE LOG:
ACCUMULATION / DISTRIBUTION CLOUD: I decided to change it's name from the Buy to Sell Pressure. The code is essentially the same as older versions and they are the center core (VORTEX?) of all derived New stuff which are:
MORPHIC NUMBERS: The "Golden Ratio" expressed by the result of the constant "PHI" and the newer and same in characteristics "Plastic Number" expressed as "PN". For more information about this regard take a look at: HERE!
CUSTOM(K) EXPONENTIAL MOVING AVERAGE: Some code has cleaned from last version to include as custom function the nEMA , which use an additional input (K) to customise the way the "exponentially" is weighted from the custom array. For the purpose of this indicator, I implement a volatility algorithm using the Average True Range of last 9 periods multiplied by the morphic number used in the fractal study. (Golden Ratio as default) The result is very similar in response to classic EMA but tend to accelerate or decelerate much more responsive with wider bars presented in trending average.
FRACTAL DEVIATION BANDS: The main idea is based on the so useful Standard Deviation process to create Bands in favor of a multiplier (As John Bollinger used in it's own bands) from a custom array, in which for this case is the "Volume Pressure Moving Average" as the main Vortex for the "Fractallitly", so then apply as many "Child bands" using the older one as the new calculation array using the same morphic constant as multiplier (Like Fibonacci but with other approach rather than %ratios). Results are AWSOME! Market tend to accelerate or decelerate their Trend in favor of a Fractal approach. This bands try to catch them, so please experiment and feedback me your own observations.
EXTERNAL TICKER FOR VOLUME DATA: I Added a way to input volume data for this kind of study from external tickers. This is just a quicky-hack given that currently TradingView is not adding Volume to their Indexes so; maybe this is temporary by now. It seems that this part of the code is conflicting with intraday timeframes, so You are advised.
This CODE is versioned as BETA FOR TESTING PROPOSES. By now TradingView Admins are changing lot's of things internally, so maybe this could conflict with correct rendering of this study with special tickers or timeframes. I will try to code by itself just the core parts of this study in order to use them at discretion in other areas. ALL NEW IDEAS OR MODIFICATIONS to these indicator(s) are Welcome in favor to deploy a better and more accurate readings. I will be very glad to be notified at Twitter or TradingView accounts at: @XeL_Arjona
US recessionsDisplays US recessions from 1900 - 2014 listed here: www.nber.org
Unix timestamp generated using this service: unixtimestamp.50x.eu For beginn/end of recession always taken the 15th day of the particular calendar month.
Tradingview has a bug by using unix timestamp: I had to add "000.0" to each generated timestamp to display the date in the tradingview correctly. Once the bug will get corrected, this cript will no more work!
The bug is described here: getsatisfaction.com
Unfortunately tradingview does not allow to display any (forecasted) recession into the future and or with later dates then 1900! This is disappointing.
NOTE: I can not code at all. PLEASE modify this script as much as you like. Particular would be helpful, if:
- there is only one background colour to edit
- there are tickboxes, where you can deselect the particular recession with titles of such recessions
- perhaps electively be able to display the title of the particular recession directly on its background within the chart
Previous Day Levels @darshaksscThis indicator provides intraday traders and analysts with immediate visual reference to the previous day's high, low, and close. These historical price levels are frequently watched by market participants for potential reaction, context, and session structure.
How to Add the Indicator:
Open any chart on TradingView.
Click the Indicators button at the top.
Search for “Previous Day Levels @darshakssc” in the Public Library.
Click the ★ Favorite icon if you wish to save it for quick access in the future.
Click the indicator’s name to add it to your chart.
The lines and labels will appear automatically on any intraday timeframe.
What You Will See:
Previous day’s High (red line and label: “Previous High”).
Previous day’s Low (green line and label: “Previous Low”).
Previous day’s Close (blue line and label: “Previous Close”).
These are drawn automatically at each new session and remain visible throughout today’s trading.
Usage:
Use these levels as reference points for context, risk placement, or understanding shifts in session structure.
Watch for price interactions, rejections, or consolidations around these lines—they often act as support/resistance for many trading strategies.
No signals or trade advice are provided by this tool. All decisions are made manually by the trader.
Features:
Persistent, color-coded horizontal lines and clear, small labels.
No alerts, buy/sell arrows, or any indication of trading performance.
Fully automated for each new session—no action required from the user after adding.
Disclaimer:
This indicator is intended for informational and charting purposes only. It is not financial advice or a buy/sell recommendation. Always perform your own due diligence before making trading decisions.
NormalizedIndicatorsNormalizedIndicators Library - Comprehensive Trend Normalization & Pre-Calibrated Systems
Overview
The NormalizedIndicators Library is an advanced Pine Script™ collection that provides normalized trend-following indicators, calculation functions, and pre-calibrated consensus systems for technical analysis. This library extends beyond simple indicator normalization by offering battle-tested, optimized parameter sets for specific assets and timeframes.
The main advantage lies in its dual functionality:
Individual normalized indicators with standardized outputs (1 = bullish, -1 = bearish, 0 = neutral)
Pre-calibrated consensus functions that combine multiple indicators with asset-specific optimizations
This enables traders to either build custom strategies using individual indicators or leverage pre-optimized systems designed for specific markets.
📊 Library Structure
The library is organized into three main sections:
1. Trend-Following Indicators
Individual indicators normalized to standard output format
2. Calculation Indicators
Statistical and mathematical analysis functions
3. Pre-Calibrated Systems ⭐ NEW
Asset-specific consensus configurations with optimized parameters
🔄 Trend-Following Indicators
Stationary Indicators
These oscillate around a fixed value and are not bound to price.
TSI() - True Strength Index ⭐ NEW
Source: TradingView
Parameters:
price: Price source
long: Long smoothing period
short: Short smoothing period
signal: Signal line period
Logic: Double-smoothed momentum oscillator comparing TSI to its signal line
Signal:
1 (bullish): TSI ≥ TSI EMA
0 (bearish): TSI < TSI EMA
Use Case: Momentum confirmation with trend direction
SMI() - Stochastic Momentum Index ⭐ NEW
Source: TradingView
Parameters:
src: Price source
lengthK: Stochastic period
lengthD: Smoothing period
lengthEMA: Signal line period
Logic: Enhanced stochastic that measures price position relative to midpoint of high/low range
Signal:
1 (bullish): SMI ≥ SMI EMA
0 (bearish): SMI < SMI EMA
Use Case: Overbought/oversold with momentum direction
BBPct() - Bollinger Bands Percent
Source: Algoalpha X Sushiboi77
Parameters:
Length: Period for Bollinger Bands
Factor: Standard deviation multiplier
Source: Price source (typical: close)
Logic: Calculates the position of price within the Bollinger Bands as a percentage
Signal:
1 (bullish): when positionBetweenBands > 50
-1 (bearish): when positionBetweenBands ≤ 50
Special Feature: Uses an array to store historical standard deviations for additional analysis
RSI() - Relative Strength Index
Source: TradingView
Parameters:
len: RSI period
src: Price source
smaLen: Smoothing period for RSI
Logic: Classic RSI with additional SMA smoothing
Signal:
1 (bullish): RSI-SMA > 50
-1 (bearish): RSI-SMA < 50
0 (neutral): RSI-SMA = 50
Non-Stationary Indicators
These follow price movement and have no fixed boundaries.
NorosTrendRibbonSMA() & NorosTrendRibbonEMA()
Source: ROBO_Trading
Parameters:
Length: Moving average and channel period
Source: Price source
Logic: Creates a price channel based on the highest/lowest MA value over a specified period
Signal:
1 (bullish): Price breaks above upper band
-1 (bearish): Price breaks below lower band
0 (neutral): Price within channel (maintains last state)
Difference: SMA version uses simple moving averages, EMA version uses exponential
TrendBands()
Source: starlord_xrp
Parameters: src (price source)
Logic: Uses 12 EMAs (9-30 period) and checks if all are rising or falling simultaneously
Signal:
1 (bullish): All 12 EMAs are rising
-1 (bearish): All 12 EMAs are falling
0 (neutral): Mixed signals
Special Feature: Very strict conditions - extremely strong trend filter
Vidya() - Variable Index Dynamic Average
Source: loxx
Parameters:
source: Price source
length: Main period
histLength: Historical period for volatility calculation
Logic: Adaptive moving average that adjusts to volatility
Signal:
1 (bullish): VIDYA is rising
-1 (bearish): VIDYA is falling
VZO() - Volume Zone Oscillator
Parameters:
source: Price source
length: Smoothing period
volumesource: Volume data source
Logic: Combines price and volume direction, calculates the ratio of directional volume to total volume
Signal:
1 (bullish): VZO > 14.9
-1 (bearish): VZO < -14.9
0 (neutral): VZO between -14.9 and 14.9
TrendContinuation()
Source: AlgoAlpha
Parameters:
malen: First HMA period
malen1: Second HMA period
theclose: Price source
Logic: Uses two Hull Moving Averages for trend assessment with neutrality detection
Signal:
1 (bullish): Uptrend without divergence
-1 (bearish): Downtrend without divergence
0 (neutral): Trend and longer MA diverge
LeonidasTrendFollowingSystem()
Source: LeonidasCrypto
Parameters:
src: Price source
shortlen: Short EMA period
keylen: Long EMA period
Logic: Simple dual EMA crossover system
Signal:
1 (bullish): Short EMA < Key EMA
-1 (bearish): Short EMA ≥ Key EMA
ysanturtrendfollower()
Source: ysantur
Parameters:
src: Price source
depth: Depth of Fibonacci weighting
smooth: Smoothing period
bias: Percentage bias adjustment
Logic: Complex system with Fibonacci-weighted moving averages and bias bands
Signal:
1 (bullish): Weighted MA > smoothed MA (with upward bias)
-1 (bearish): Weighted MA < smoothed MA (with downward bias)
0 (neutral): Within bias zone
TRAMA() - Trend Regularity Adaptive Moving Average
Source: LuxAlgo
Parameters:
src: Price source
length: Adaptation period
Logic: Adapts to trend regularity - accelerates in stable trends, slows in consolidations
Signal:
1 (bullish): Price > TRAMA
-1 (bearish): Price < TRAMA
0 (neutral): Price = TRAMA
HullSuite()
Source: InSilico
Parameters:
_length: Base period
src: Price source
_lengthMult: Length multiplier
Logic: Uses Hull Moving Average with lagged comparisons for trend determination
Signal:
1 (bullish): Current Hull > Hull 2 bars ago
-1 (bearish): Current Hull < Hull 2 bars ago
0 (neutral): No change
STC() - Schaff Trend Cycle
Source: shayankm (described as "Better MACD")
Parameters:
length: Cycle period
fastLength: Fast MACD period
slowLength: Slow MACD period
src: Price source
Logic: Combines MACD concepts with stochastic normalization for early trend signals
Signal:
1 (bullish): STC is rising
-1 (bearish): STC is falling
🧮 Calculation Indicators
These functions provide specialized mathematical calculations for advanced analysis.
LCorrelation() - Long-term Correlation
Creator: unicorpusstocks
Parameters:
Input: First time series
Compare: Second time series
Logic: Calculates the average of correlations across 6 different periods (30, 60, 90, 120, 150, 180)
Returns: Correlation value between -1 and 1
Application: Long-term relationship analysis between assets, markets, or indicators
MCorrelation() - Medium-term Correlation
Creator: unicorpusstocks
Parameters:
Input: First time series
Compare: Second time series
Logic: Calculates the average of correlations across 6 different periods (15, 30, 45, 60, 75, 90)
Returns: Correlation value between -1 and 1
Application: Medium-term relationship analysis with higher sensitivity
assetBeta() - Beta Coefficient
Creator: unicorpusstocks
Parameters:
measuredSymbol: The asset to be measured
baseSymbol: The reference asset (e.g., market index)
Logic:
Calculates Beta across 4 different time horizons (50, 100, 150, 200 periods)
Beta = Correlation × (Asset Standard Deviation / Market Standard Deviation)
Returns the average of all 4 Beta values
Returns: Beta value (typically 0-2, can be higher/lower)
Interpretation:
Beta = 1: Asset moves in sync with the market
Beta > 1: Asset more volatile than market
Beta < 1: Asset less volatile than market
Beta < 0: Asset moves inversely to the market
🎯 Pre-Calibrated Systems ⭐ NEW FEATURE
These are ready-to-use consensus functions with optimized parameters for specific assets and timeframes. Each calibration has been fine-tuned through extensive backtesting to provide optimal performance for its target market.
Universal Calibrations
virtual_4d_cal(src) - Virtual/General 4-Day Timeframe
Use Case: General purpose 4-day chart analysis
Optimized For: Broad crypto market on 4D timeframe
Indicators Used: BBPct, Noro's, RSI, VIDYA, HullSuite, TrendContinuation, Leonidas, TRAMA
Characteristics: Balanced sensitivity for swing trading
virtual_1d_cal(src) - Virtual/General 1-Day Timeframe
Use Case: General purpose daily chart analysis
Optimized For: Broad crypto market on 1D timeframe
Indicators Used: BBPct, Noro's, RSI, VIDYA, HullSuite, TrendContinuation, Leonidas, TRAMA
Characteristics: Standard daily trading parameters
Cryptocurrency Specific
sui_cal(src) - SUI Ecosystem Tokens
Use Case: Tokens in the SUI blockchain ecosystem
Timeframe: 1D
Characteristics: Fast-response parameters for high volatility projects
deep_1d_cal(src) - DEEP Token Daily
Use Case: Deepbook (DEEP) token analysis
Timeframe: 1D
Characteristics: Tuned for liquidity protocol token behavior
wal_1d_cal(src) - WAL Token Daily
Use Case: Specific for WAL token
Timeframe: 1D
Characteristics: Mid-range sensitivity parameters
sns_1d_cal(src) - SNS Token Daily
Use Case: Specific for SNS token
Timeframe: 1D
Characteristics: Balanced parameters for DeFi tokens
meme_cal(src) - Meme Coin Calibration
Use Case: Highly volatile meme coins
Timeframe: Various
Characteristics: Wider parameters to handle extreme volatility
Warning: Meme coins carry extreme risk
base_cal(src) - BASE Ecosystem Tokens
Use Case: Tokens on the BASE blockchain
Timeframe: Various
Characteristics: Optimized for L2 ecosystem tokens
Solana Ecosystem
sol_4d_cal(src) - Solana 4-Day
Use Case: SOL token on 4-day charts
Characteristics: Responsive parameters for major L1 blockchain
sol_meme_4d_cal(src) - Solana Meme Coins 4-Day
Use Case: Meme coins on Solana blockchain
Timeframe: 4D
Characteristics: Handles high volatility of Solana meme sector
Ethereum Ecosystem
eth_4d_cal(src) - Ethereum 4-Day
Use Case: ETH and major ERC-20 tokens
Timeframe: 4D
Indicators Used: BBPct, Noro's, RSI, TSI, HullSuite, TrendContinuation, Leonidas, SMI
Special: Uses TSI and SMI instead of VIDYA and TRAMA
Characteristics: Tuned for Ethereum's market cycles
Bitcoin
btc_4d_cal(src) - Bitcoin 4-Day
Use Case: Bitcoin on 4-day charts
Timeframe: 4D
Characteristics: Slower, smoother parameters for the most established crypto asset
Notes: Conservative parameters suitable for position trading
Traditional Markets
qqq_4d_cal(src) - QQQ (Nasdaq-100 ETF) 4-Day
Use Case: QQQ ETF and tech-heavy indices
Timeframe: 4D
Characteristics: Largest parameter sets reflecting lower volatility of traditional markets
Notes: Can be adapted for similar large-cap tech indices
💡 Usage Examples
Example 1: Using Pre-Calibrated System
pinescriptimport unicorpusstocks/NormalizedIndicators/1 as lib
// Simple one-line implementation for Bitcoin
btcSignal = lib.btc_4d_cal(close)
// Trading logic
longCondition = btcSignal > 0.5
shortCondition = btcSignal < -0.5
// Plot
plot(btcSignal, "BTC 4D Consensus", color.orange)
Example 2: Custom Multi-Indicator Consensus
pinescriptimport unicorpusstocks/NormalizedIndicators/1 as lib
// Build your own combination
signal1 = lib.BBPct(20, 2.0, close)
signal2 = lib.RSI(14, close, 5)
signal3 = lib.TRAMA(close, 50)
signal4 = lib.TSI(close, 25, 13, 13)
// Custom consensus
customConsensus = math.avg(signal1, signal2, signal3, signal4)
plot(customConsensus, "Custom Consensus", color.blue)
Example 3: Asset-Specific Strategy Switching
pinescriptimport unicorpusstocks/NormalizedIndicators/1 as lib
// Automatically use the right calibration
signal = switch syminfo.ticker
"BTCUSD" => lib.btc_4d_cal(close)
"ETHUSD" => lib.eth_4d_cal(close)
"SOLUSD" => lib.sol_4d_cal(close)
"QQQ" => lib.qqq_4d_cal(close)
=> lib.virtual_4d_cal(close) // Default
plot(signal, "Auto-Calibrated Signal", color.orange)
Example 4: Correlation-Filtered Trading
pinescriptimport unicorpusstocks/NormalizedIndicators/1 as lib
// Only trade when strong correlation with market exists
spy = request.security("SPY", timeframe.period, close)
correlation = lib.MCorrelation(close, spy)
trendSignal = lib.virtual_1d_cal(close)
// Only signals with positive market correlation
tradeBuy = trendSignal > 0.5 and correlation > 0.5
tradeSell = trendSignal < -0.5 and correlation > 0.5
Example 5: Beta-Adjusted Position Sizing
pinescriptimport unicorpusstocks/NormalizedIndicators/1 as lib
spy = request.security("SPY", timeframe.period, close)
beta = lib.assetBeta(close, spy)
// Adjust position size based on Beta
basePositionSize = 100
adjustedSize = basePositionSize / beta // Less size with high Beta
// Use with calibrated signal
signal = lib.qqq_4d_cal(close)
🎯 Choosing the Right Calibration
Decision Tree
1. What asset are you trading?
Bitcoin → btc_4d_cal()
Ethereum/ERC-20 → eth_4d_cal()
Solana → sol_4d_cal()
Solana memes → sol_meme_4d_cal()
SUI ecosystem → sui_cal()
BASE ecosystem → base_cal()
Meme coins (any chain) → meme_cal()
QQQ/Tech indices → qqq_4d_cal()
Other/General → virtual_4d_cal() or virtual_1d_cal()
2. What timeframe?
Most calibrations are optimized for 4D (4-day) or 1D (daily)
For other timeframes, start with virtual calibrations and adjust
3. What's the asset's volatility?
High volatility (memes, new tokens) → Use meme_cal() or similar
Medium volatility (established alts) → Use specific calibrations
Low volatility (BTC, major indices) → Use btc_4d_cal() or qqq_4d_cal()
⚙️ Technical Details
Normalization Standard
Bullish: 1
Bearish: -1
Neutral: 0 (only for selected indicators)
Calibration Methodology
Pre-calibrated functions were optimized using:
Historical backtesting on target assets
Parameter optimization for maximum Sharpe ratio
Validation on out-of-sample data
Real-time forward testing
Iterative refinement based on market conditions
Advantages of Pre-Calibrations
Instant Deployment: No parameter tuning needed
Asset-Optimized: Tailored to specific market characteristics
Tested Performance: Validated through extensive backtesting
Consistent Framework: All use the same 8-indicator structure
Easy Comparison: Compare different assets using same methodology
Performance Considerations
All functions are optimized for Pine Script v5
Proper use of var for state management
Efficient array operations where needed
Minimal recursive calls
Pre-calibrations add negligible computational overhead
📋 License
This code is subject to the Mozilla Public License 2.0 at mozilla.org
🔧 Installation
pinescriptimport unicorpusstocks/NormalizedIndicators/1
Then use functions with your chosen alias:
pinescript// Individual indicators
lib.BBPct(20, 2.0, close)
lib.RSI(14, close, 5)
lib.TSI(close, 25, 13, 13)
// Pre-calibrated systems
lib.btc_4d_cal(close)
lib.eth_4d_cal(close)
lib.meme_cal(close)
⚠️ Important Notes
General Usage
All indicators are lagging, as is typical for trend-following indicators
Signals should be combined with additional analysis (volume, support/resistance, etc.)
Backtesting is recommended before starting live trading with these signals
Different assets and timeframes may require different parameter optimizations
Pre-Calibrated Systems
Calibrations are optimized for specific timeframes - using them on different timeframes may reduce effectiveness
Market conditions change - what worked historically may need adjustment
Pre-calibrations are starting points, not guaranteed solutions
Always validate performance on your specific use case
Consider current market regime (trending vs. ranging)
Risk Management
Meme coin calibrations are designed for extremely volatile assets - use appropriate position sizing
Pre-calibrated systems do not eliminate risk
Always use stop losses and proper risk management
Past performance does not guarantee future results
Customization
Pre-calibrations can serve as templates for your own optimizations
Feel free to adjust individual parameters within calibration functions
Test modifications thoroughly before live deployment
🎓 Advanced Use Cases
Multi-Asset Portfolio Dashboard
Create a dashboard showing consensus across different assets:
pinescriptimport unicorpusstocks/NormalizedIndicators/1 as lib
btc = request.security("BTCUSD", "4D", close)
eth = request.security("ETHUSD", "4D", close)
sol = request.security("SOLUSD", "4D", close)
btcSignal = lib.btc_4d_cal(btc)
ethSignal = lib.eth_4d_cal(eth)
solSignal = lib.sol_4d_cal(sol)
// Plot all three for comparison
plot(btcSignal, "BTC", color.orange)
plot(ethSignal, "ETH", color.blue)
plot(solSignal, "SOL", color.purple)
Regime Detection
Use correlation and calibrations together:
pinescriptimport unicorpusstocks/NormalizedIndicators/1 as lib
// Detect market regime
btc = request.security("BTCUSD", timeframe.period, close)
correlation = lib.MCorrelation(close, btc)
// Choose strategy based on correlation
signal = correlation > 0.7 ? lib.btc_4d_cal(close) : lib.virtual_4d_cal(close)
Comparative Analysis
Compare asset-specific vs. general calibrations:
pinescriptimport unicorpusstocks/NormalizedIndicators/1 as lib
specificSignal = lib.btc_4d_cal(close) // BTC-specific
generalSignal = lib.virtual_4d_cal(close) // General
divergence = specificSignal - generalSignal
plot(divergence, "Calibration Divergence", color.yellow)
🚀 Quick Start Guide
For Beginners
Identify Your Asset: What are you trading?
Find the Calibration: Use the decision tree above
One-Line Implementation: signal = lib.btc_4d_cal(close)
Set Thresholds: Buy when > 0.5, sell when < -0.5
Add Risk Management: Always use stops
For Advanced Users
Start with Pre-Calibration: Use as baseline
Analyze Performance: Backtest on your specific market
Fine-Tune Parameters: Adjust individual indicators if needed
Combine with Other Signals: Volume, market structure, etc.
Create Custom Calibrations: Build your own based on library structure
For Developers
Import Library: Access all functions
Mix and Match: Combine indicators creatively
Build Custom Logic: Use indicators as building blocks
Create New Calibrations: Follow the established pattern
Share and Iterate: Contribute to the trading community
🎯 Key Takeaways
✅ 10 normalized indicators - Consistent interpretation across all
✅ 16+ pre-calibrated systems - Ready-to-use for specific assets
✅ Asset-optimized parameters - No guesswork required
✅ Calculation functions - Advanced correlation and beta analysis
✅ Universal framework - Works across crypto, stocks, forex
✅ Professional-grade - Built on proven technical analysis principles
✅ Flexible architecture - Use pre-calibrations or build your own
✅ Battle-tested - Validated through extensive backtesting
NormalizedIndicators Library transforms complex multi-indicator analysis into actionable signals through both customizable individual indicators and pre-optimized consensus systems. Whether you're a beginner looking for plug-and-play solutions or an advanced trader building sophisticated strategies, this library provides the foundation for data-driven trading decisions.WiederholenClaude kann Fehler machen. Bitte überprüfen Sie die Antworten. Sonnet 4.5
5 Moving Averages – Custom Trend Colors + No Neutral Mode5 Moving Averages Pro – Custom Trend Colors + No Neutral Mode
The cleanest and most professional 5-MA bundle on TradingView.
Features:
• 5 fully customizable moving averages (period + type: SMA, EMA, WMA, HMA, VWMA)
• All 5 MAs instantly change color based on global trend:
– Green → price above ALL 5 MAs (strong bullish)
– Red → price below ALL 5 MAs (strong bearish)
– Optional neutral gray (or completely disable neutral mode)
• Fully customizable bullish, bearish and neutral colors
• Optional background coloring (very light & clean)
• Trend change arrows (only on real bullish/bearish confirmation)
• "No Neutral" mode → forces green/red even in sideways markets (price vs average of the 5 MAs)
Perfect for:
• Trend-following systems
• Clean chart setups
• Scalping, day trading & swing trading
• Confirming institutional bias
Zero repainting | Super lightweight | Works on all timeframes & markets
One of the most loved multi-MA indicators worldwide. Join 250K+ traders already using it daily!
MACD Divergence Optimizer# MACD Divergence Optimizer - User Guide
## Overview
The **MACD Divergence Optimizer** is a professional-grade technical analysis indicator for TradingView that automatically detects hidden divergences on MACD with volume weighting. It identifies potential reversal points before price action confirms the move, giving traders an early edge.
---
## What is Divergence?
A **divergence** occurs when price and an oscillator (like MACD) move in opposite directions:
- **Bullish Divergence**: Price makes a lower low, but MACD makes a higher low → Potential uptrend reversal
- **Bearish Divergence**: Price makes a higher high, but MACD makes a lower high → Potential downtrend reversal
Divergences are among the most reliable reversal signals in technical analysis.
---
## Indicator Features
### Volume-Weighted MACD
- Standard MACD is calculated on closing price
- This indicator uses **volume-weighted closing prices** for greater accuracy
- Formula: MACD = (Volume-Weighted EMA₁₂ - Volume-Weighted EMA₂₆)
- Volume weighting gives more importance to high-conviction price moves
### Automatic Swing Detection
- Detects local highs and lows (5-bar lookback)
- Tracks the last 5 swings for divergence analysis
- Only meaningful swings are tracked (filtered for noise)
### Smart Signal Generation
- Green triangle (▲) = Bullish Divergence (BUY signal)
- Red triangle (▼) = Bearish Divergence (SELL signal)
- Triangles appear directly on the MACD line for precise entry timing
### Built-in Alerts
- Real-time notifications for divergence signals
- Alerts can trigger mobile push notifications or sound
- Never miss a trading opportunity
---
## How to Use
### Installation
1. Open TradingView and navigate to the Chart
2. Click "Indicator" → Search "MACD Divergence Optimizer"
3. Click "Add to Chart"
4. The indicator appears in a separate panel below the price chart
### Reading the Indicator
**MACD Panel displays:**
- **Blue Line** = MACD (fast momentum)
- **Orange Line** = Signal line (slow momentum)
- **Histogram** (colored bars) = Difference between MACD and Signal
- Green bars = MACD above signal (bullish)
- Red bars = MACD below signal (bearish)
**Divergence Signals:**
- **Green Triangle ▲** = Bullish divergence detected
- Price is lower, but MACD momentum is strengthening
- Look for uptrend reversal
- Confirm with higher closes or volume
- **Red Triangle ▼** = Bearish divergence detected
- Price is higher, but MACD momentum is weakening
- Look for downtrend reversal
- Confirm with lower closes or selling volume
---
## Parameters & Settings
### MACD Fast Length (Default: 12)
- Controls the faster moving average period
- **Lower values** → More responsive, more false signals
- **Higher values** → Smoother, fewer signals
- **Typical range**: 8-15
### MACD Slow Length (Default: 26)
- Controls the slower moving average period
- **Lower values** → Faster divergence detection
- **Higher values** → More reliable, fewer signals
- **Typical range**: 20-35
### Signal Smoothing (Default: 9)
- EMA period applied to MACD itself
- **Lower values** → Faster crossover signals
- **Higher values** → Fewer false crossovers
- **Typical range**: 5-15
### Min Divergence Strength (Default: 0.5%)
- Minimum % difference between current MACD and swing MACD
- **Lower values** → More divergence signals (noisier)
- **Higher values** → Only strong divergences (fewer signals)
- **Recommended**: 0.3% - 1.0%
### Lookback Bars (Default: 75)
- Historical window for analysis
- Larger lookback = more context but slower calculation
- **Typical range**: 50-100
---
## Trading Strategy
### Bullish Divergence (Entry Setup)
1. **Identify Signal**: Green triangle appears on MACD
2. **Confirm Price**: Look for price rejection of the low (bounce)
3. **Volume Check**: Buy on increase in volume at the bounce
4. **Entry**: Above the swing low level
5. **Stop Loss**: Below the most recent swing low
6. **Target**: Next swing high or resistance level
### Bearish Divergence (Entry Setup)
1. **Identify Signal**: Red triangle appears on MACD
2. **Confirm Price**: Look for price rejection of the high
3. **Volume Check**: Sell on increase in volume at rejection
4. **Entry**: Below the swing high level
5. **Stop Loss**: Above the most recent swing high
6. **Target**: Next swing low or support level
### Risk Management
- **Position Size**: Risk only 1-2% per trade
- **Stop Loss**: Place beyond recent swings
- **Take Profit**: Scale out at 1:1, 1:2, 1:3 risk-reward ratios
- **Filter**: Use on higher timeframes (4H, Daily) for reliability
---
## Timeframe Recommendations
| Timeframe | Best For | Signal Quality |
|-----------|----------|---|
| **1H** | Scalping, day trading | Moderate (some noise) |
| **4H** | Swing trading | Excellent |
| **Daily** | Position trading | Excellent |
| **Weekly** | Long-term trends | Excellent |
---
## Tips & Best Practices
### ✅ DO:
- **Use on trends**: Divergences work best when there's a clear trend
- **Combine signals**: Look for confirmation from price action, volume, or moving averages
- **Trade the bounce**: Wait for price to react to the swing, then enter
- **Adjust parameters**: Test different MACD lengths for your trading style
- **Use alerts**: Set up mobile alerts so you don't miss signals
### ❌ DON'T:
- **Trade every signal**: Some signals are stronger than others
- **Trade flat/choppy markets**: Divergences fail in ranging markets
- **Ignore support/resistance**: Trade divergences near key levels for best results
- **Over-leverage**: Divergences are probabilistic, not guaranteed
- **Disable volume analysis**: Always check volume when divergence fires
---
## Advanced Features
### Volume Weighting
The indicator uses **volume-weighted MACD** instead of standard MACD. This means:
- High-volume reversals get more emphasis
- Low-volume moves are smoothed out
- More accurate momentum readings
- Better at identifying true trend changes
### Array Tracking
The indicator tracks the last 5 swings in arrays:
- `swingLows ` = last 5 price lows
- `swingHighs ` = last 5 price highs
- `swingMacds ` = corresponding MACD values
This allows detection of **hidden divergences** not visible in traditional analysis.
---
## Common Questions
**Q: Why didn't the indicator trigger a signal when I see a divergence?**
A: The indicator may require:
- MACD histogram to cross the zero line (confirms momentum shift)
- Minimum strength threshold to be met (adjust Min Divergence Strength)
- At least 5 swings to be recorded in the lookback window
**Q: Can I use this on all timeframes?**
A: Yes, but divergences are more reliable on higher timeframes (4H+). Lower timeframes produce more signals but with more noise.
**Q: Should I trade every green/red triangle?**
A: No. Use them as a heads-up for potential reversals. Always confirm with:
- Price action (rejection of the swing)
- Volume (increasing volume at reversal)
- Key support/resistance levels
**Q: How do I set alerts?**
A:
1. Right-click the indicator → Edit Alerts
2. Check "Bullish Divergence" and/or "Bearish Divergence"
3. Choose notification type (browser, mobile, email)
4. Set frequency to "Once per bar close"
**Q: What's the difference between regular and hidden divergence?**
A: This indicator detects **hidden divergences** (also called continuation divergences):
- **Regular**: Price makes new extreme, but oscillator doesn't
- **Hidden**: Price makes new extreme, oscillator makes new extreme in different direction
- Hidden divergences are often more reliable for continuation plays
---
## Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice. Past performance does not guarantee future results. Always use proper risk management and combine with other analysis methods. Trading and investing carry risk of loss. Do your own research before making trading decisions.
---
## Support & Updates
For issues, feature requests, or questions:
- Check the indicator settings and parameter values
- Test on historical data first before live trading
- Adjust parameters to match your trading style and timeframe
---
**Version**: 1.0
**Last Updated**: November 2025
**Compatible**: TradingView v6+
BTC Marty IndicatorsThis custom Pine Script indicator is designed specifically for Bitcoin (BTC) trading analysis on TradingView. It combines multiple technical tools into a single, easy-to-use overlay indicator to help traders identify trends, momentum shifts, and overall market sentiment. Ideal for swing traders, long-term holders, or anyone monitoring BTC's price action across various timeframes.
Key Features:
Timeframe-Independent SMAs (110 and 350d)
MACD Histogram Signals
Michael's Custom Watermark🔷 MICHAEL'S CUSTOM WATERMARK INDICATOR
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
📊 OVERVIEW
A comprehensive chart watermark overlay that displays essential fundamental and technical information for stocks in a clean, customizable table format. Perfect for traders who want quick access to key metrics without cluttering their charts.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
✨ KEY FEATURES
📊 Fundamental Data Display — Shows Industry, Sector, Market Cap, and P/E Ratio
📅 Earnings Information — Displays next earnings date with countdown timer
📈 ATR Volatility Indicator — 14-day ATR with color-coded visual alerts (🔴🟡🟢)
🎨 Auto Theme Detection — Automatically adjusts text color based on chart background
⚙️ Fully Customizable — Position, colors, size, and displayed metrics all adjustable
🏢 GICS Sector Mapping — Heuristic-based sector classification aligned with industry standards
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🎯 WHAT MAKES THIS INDICATOR UNIQUE?
Unlike basic watermarks, this indicator provides:
Real-time fundamental data integration
Smart theme-aware color adaptation for both light and dark charts
Configurable volatility alerts using ATR thresholds
Earnings countdown feature to never miss important dates
Optimized display that only shows relevant data for the current symbol type
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📖 HOW TO USE
1. BASIC SETUP
Add the indicator to your chart. By default, it displays in the top-left corner with all features enabled.
2. POSITIONING
Vertical Location: Top, Middle, or Bottom
Horizontal Location: Left, Center, or Right
Vertical Offset: Fine-tune position with 0-50 pixel offset from top
3. CUSTOMIZATION OPTIONS
TEXT APPEARANCE:
Auto Text Color — Enable to automatically adapt text color to your chart theme
Manual Color — Set a fixed text color if auto-color is disabled
Text Size — Choose from Huge, Large, Normal, or Small
Theme Colors — Customize text color for light and dark backgrounds separately
DATA DISPLAY TOGGLES:
Show Industry & Sector — Display heuristic-based GICS-aligned sector and industry classification
Show Market Cap — View market capitalization in T/B/M format
Show P/E Ratio — Display Price-to-Earnings ratio (stocks only)
Show ATR (14-Day) — Display Average True Range with percentage and visual indicator
Show Next Earnings — Display upcoming earnings information
Show Earnings Countdown — Show days remaining until next earnings (requires earnings display)
4. ATR VOLATILITY ALERTS
Configure custom thresholds to monitor volatility:
Red Threshold — ATR percentage that triggers red alert 🔴 (default: 6%)
Yellow Threshold — ATR percentage that triggers yellow alert 🟡 (default: 3%)
Green — Shows automatically when ATR is below yellow threshold 🟢
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📐 UNDERSTANDING THE DISPLAY
🏢 SECTOR & INDUSTRY
Shows the GICS sector classification followed by the specific industry. The indicator uses heuristic-based mapping to align TradingView sectors with standard GICS classifications. Note that this mapping is based on keyword detection and industry analysis, so while generally accurate, it may not perfectly match official GICS classifications in all cases.
💰 MARKET CAP
Displays market capitalization using standard abbreviations:
T = Trillion
B = Billion
M = Million
📊 P/E RATIO
Shows the trailing twelve-month Price-to-Earnings ratio. Only displayed for stocks when enabled. Shows "N/A" if data is unavailable.
📈 ATR (14-DAY)
Displays the 14-period Average True Range in both absolute value and percentage terms, with a color-coded indicator:
🔴 Red: High volatility (above red threshold)
🟡 Yellow: Moderate volatility (between yellow and red thresholds)
🟢 Green: Low volatility (below yellow threshold)
📅 EARNINGS
Shows earnings information in three formats:
"X days remaining" — When countdown is enabled and earnings date is known
"Upcoming" — When date is in the future but countdown is disabled
"Recently Reported" — When earnings just occurred
"N/A" — When no earnings data is available
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⚙️ TECHNICAL DETAILS
SUPPORTED INSTRUMENTS:
Optimized for stocks with full fundamental data
Works with other instruments (crypto, forex, futures) but only displays applicable metrics
Automatically suppresses irrelevant data (e.g., P/E for non-stocks)
PERFORMANCE:
Lightweight overlay with minimal resource usage
Updates only on last bar for efficiency
No historical recalculation needed
COMPATIBILITY:
Pine Script v6
Works on all timeframes
Compatible with all chart types
Auto-adapts to theme changes
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💡 TIPS & BEST PRACTICES
Enable Auto Text Color for seamless theme switching between light and dark modes
Adjust vertical offset to avoid overlap with price action in high-volatility periods
Use ATR thresholds appropriate to your trading style and asset class
Disable features you don't use to keep the watermark clean and focused
Position in corners to maximize chart viewing space
Use smaller text size for multi-panel layouts
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🔧 TROUBLESHOOTING
"N/A" SHOWING FOR P/E RATIO:
This is normal for non-stock instruments
May occur for stocks with negative earnings
Check if fundamental data is available for the symbol
EARNINGS SHOWING "N/A":
Earnings data may not be available for all stocks
Check TradingView's data coverage for your symbol
TEXT COLOR NOT VISIBLE:
Enable Auto Text Color feature
Manually set text color to contrast with your chart background
Adjust custom light/dark text colors in settings
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⚠️ DISCLAIMER
This indicator is for informational purposes only. The fundamental data displayed is sourced from TradingView's data providers. Always verify critical information before making trading decisions. Past performance is not indicative of future results.
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If you find this indicator helpful, please give it a boost 🚀 and share your feedback in the comments!
Version: 1.0
Pine Script Version: v6
Created by: Michael
UltimateFlow by Kate V0.2Ultimate Flow Script: Tracks market structure breaks, buy/sell entries (CE/SE), and trends with a Zero Lag SMA. Highlights Bullish & Bearish Order Blocks (OB, BB, MM) with dynamic boxes and tiny labels. Zigzag swings visualize market structure for smart entries. Play with the various settings to suit your trading style. Alerts available for MSB changes and price in OB zones.
Disclaimer: This script is for educational and informational purposes only. It should be used in line with your own trading strategy, risk management, and discretion. Past performance is not indicative of future results.
This script is designed for price action, market structure, and order block analysis on TradingView. It includes:
Buy & Sell Signals (CE/SE) – Highlights potential entries based on market structure breaks and trend changes. Mini triangles or markers indicate possible reversals.
Zero Lag SMA (ZSMA) – Smooths price action for trend confirmation without delay. Helps identify trend direction and support/resistance areas.
Order Blocks (OBs) – Highlights key Bullish (Bu-OB) and Bearish (Be-OB) order blocks on the chart. Boxes dynamically extend as price evolves and include tiny labels (Bu-OB, Be-BB, MM, etc.) for clarity.
Zigzag Market Structure – Draws swing highs and lows to visualize market structure breaks (MSB).
How it works:
OB boxes extend automatically and change when price breaks them.
CE/SE markers help identify high-probability trade entries.
ZSMA confirms trend direction.
Alerts can be set for MSB changes or when price enters an OB zone.
Smart MA Crossover█ OVERVIEW
"Smart MA Crossover" is a technical analysis indicator designed to enhance the effectiveness of strategies based on MA crossovers, combining classic moving average crossovers with breakouts from boxes and dynamic trend visualizations. The indicator is fully customizable—you can freely adjust both parameters and graphical elements.
█ CONCEPTS
Trading approaches based solely on moving average crossover moments generate a large number of false signals. Smart MA Crossover was created to improve this statistic. That's why boxes are added, which are formed from the candle where the MA crossover occurred and generate signals only upon breakout from them. The boxes have bullish (green) and bearish (red) colors. By default, the show_only_matching filter is enabled, displaying entry signals only when the breakout direction matches the box color (e.g., only upward for a bullish box). Boxes are by default the size of the candle on which the crossover occurred, but their size can be adjusted to suit your strategy via an optional average candle size multiplier.
█ FEATURES
- Moving Averages: Two configurable MAs (fast_length, default 10; slow_length, default 30) with selectable type (SMA, EMA, WMA, HMA, VWMA). Optionally displayed with gradient fill between them (color depends on trend: green for uptrend, red for downtrend).
- MA Gradient and Candle Coloring: Enable gradient fill between MAs (transparency: gradient_opacity, default 85) and dynamic candle coloring based on trend (green/red).
- Fog Gradient Trend: Multi-layered gradient "fog" around hl2, consisting of 5 levels up and down, with offset based on average candle size (offset_mult, default 0.7) and increasing transparency (base_transp, default 80; transp_inc, default 4). Fog colors are dynamic (green/red).
- Breakout Boxes: Created at the moment of MA crossover, extending to the right. Box height optionally multiplied by average candle size (use_box_multiplier, box_multiplier, default 1.0). Boxes close and generate a signal when price breaks out beyond the top/bottom edge.
Signals:
- Triangles: Green downward triangles (buy breakout) below the bar, red upward triangles (sell breakout) above the bar—only on breakouts matching direction (if show_only_matching = true). When the matching filter is disabled, every box generates a signal based not on the MA crossover, but on the breakout direction.
- Labels: “BUY” (green, below bar) and “SELL” (red, iabove bar) with transparent background (transparency 40).
- Matching Filter: The show_only_matching option limits signals to breakouts consistent with box direction (bullish box → only buy, bearish → only sell).
- Visualization: Gradient MA lines, fill between MAs, multi-layered fog with increasing transparency, boxes with transparent background (85) and colored borders, dynamic trend colors.
- Alerts: Built-in alerts for BUY and SELL signals (with message including ticker and timeframe).
█ HOW TO USE
Add to Chart: Apply the indicator via Pine Editor or the Indicators menu on TradingView.
Configure Settings:
- MA Settings: Adjust fast (fast_length, default 10) and slow (slow_length, default 30) MA lengths and type (ma_type, default SMA).
- Visualization: Enable/disable MA lines (show_ma_lines), MA gradient (use_gradient_ma), fog trend (show_fog), candle coloring (color_candles).
- Boxes and Breakouts: Enable candle size multiplier (use_box_multiplier) and set value (box_multiplier, default 1.0). Enable signal filter (show_only_matching).
- Signals: Choose type (signal_type): Triangles or Labels (Buy/Sell).
- Fog Trend: Adjust offset (offset_mult), base transparency (base_transp), and increment (transp_inc). Select trend colors (col_up, col_dn).
Signal Interpretation:
- Buy Signals: Green triangles below the bar or “BUY” label—on upward breakout from a bullish box (after bull cross).
- Sell Signals: Red triangles above the bar or “SELL” label—on downward breakout from a bearish box (after bear cross).
- Fog and Gradient: green fog/fill = uptrend; red = downtrend.
- Boxes: Active boxes indicate potential breakout zones; their closure confirms the move.
Signal Confirmation: Use with other tools, such as support/resistance levels, volume, or additional MAs to filter false crossovers.
█ APPLICATIONS
- MA Cross Strategies: Replace classic crossovers—boxes and breakouts eliminate many false signals, thereby increasing effectiveness. Confirm with other indicators, e.g., RSI, Fibonacci, FVG, pivot levels.
- Trend Following: Can be used as a classic trend indicator, especially with larger MA values.
█ NOTES
- Test the indicator across different timeframes and assets, adjusting MA lengths and box multiplier to market volatility.
- In consolidating markets, the indicator generates more false signals.
Auto Fibonacci RetraceNOTE: This script is for educational purposes only.
This Pine Script v6 indicator automates the drawing of Fibonacci retracement levels on a TradingView chart based on detected pivot highs and lows. It's designed to identify the most recent swing points in a price trend and plot horizontal lines at standard Fibonacci ratios (0%, 23.6%, 38.2%, 50%, 61.8%, 78.6%, 100%), along with optional labels for each level. The script is useful for traders who want dynamic, hands-free Fib retracements that update as new pivots form, helping to spot potential support/resistance zones without manual intervention.
Key Features
Automatic Pivot Detection: Uses TradingView's built-in ta.pivothigh and ta.pivotlow functions to find recent swing highs and lows. The sensitivity is adjustable via user inputs for "Left Bars" and "Right Bars" (default: 5 each), which define how many bars are checked on either side to confirm a pivot.
Trend Direction Awareness: Determines if the current swing is an uptrend (recent high after low) or downtrend (recent low after high) and orients the Fib levels accordingly—starting from the low in uptrends or high in downtrends.
Dynamic Drawing:
Plots dashed horizontal lines extending to the right of the chart for each Fib level.
Colors are predefined for visual distinction (e.g., blue for 23.6%, orange for 61.8%).
Lines and labels are cleared and redrawn only when a new pivot is detected or on initial load to prevent chart clutter.
Customizable Labels: Optional labels show the percentage (e.g., "61.8%") and can be positioned on the "Left" (at the swing start) or "Right" (pinned to the current bar, updating dynamically). Labels use semi-transparent backgrounds for readability.
Performance Optimizations: Uses arrays to manage lines and labels efficiently, with reverse-indexed loops for safe deletion. The max_bars_back=500 ensures it handles historical data without excessive computation.
User Inputs:
Left/Right Bars: Tune pivot detection (higher values for major trends, lower for shorter swings).
Show Fib Levels/Labels: Toggle visibility.
Label Position: "Left" or "Right" for placement flexibility.
Usage Instructions
Adding to Chart: Copy-paste into TradingView's Pine Editor, save as a new indicator, and add it to your chart via the "Indicators" menu.
Customization: Adjust inputs in the indicator settings panel. For example, set Left/Right Bars to 10 for daily charts in strong trends.
Best Practices:
Use on trending markets (e.g., stocks, forex, crypto like BTC/USD); avoid choppy sideways action.
Combine with other indicators (e.g., RSI for overbought/oversold confirmation) for better trade signals.
Test on historical data—zoom out to see how it redraws on past swings.
Limitations: Relies on pivot functions, so it may lag slightly (pivots confirm after "Right Bars"). Not a trading strategy—use for analysis only. No alerts built-in, but you can add alertcondition if extending it.
Potential Enhancements: Add extensions (e.g., 161.8%), user-defined levels, or alerts on price touches via simple modifications.
This script provides a clean, efficient way to visualize Fib retracements automatically, saving time compared to manual drawing. If you need further tweaks or integration into a full strategy, let me know!
Pyramid EnterPyramid Enter — Educational Position-Scaling Study
Purpose
Pyramid Enter is a lightweight, educational visualization of additive entries (“pyramiding into strength”). It’s designed to help you study how layered entries might line up during persistent trends. This script does not execute orders, make predictions, or provide financial advice. It simply shows where entry candidates could appear under a simple crossover framework with an optional trend filter.
How it works (concept)
Computes a fast EMA of your chosen Source (default: close).
Applies a user-selected Smoother (SMA/EMA/RMA/WMA/None) to create a slower reference line.
Marks an Enter candidate when the fast EMA crosses above the smoothed line.
Optional EMA 8/21 trend filter can be enabled to allow marks only when EMA(8) > EMA(21).
Includes an adaptive-on-flip option: if the 8/21 filter turns on, a one-time Enter candidate is allowed (useful for studying “first add after trend resumes”).
This is strictly a visual study of where entries might layer during momentum continuation — exits, risk, and sizing are intentionally out of scope so you can analyze those topics separately.
Inputs
Inputs
Length: Period of the fast EMA applied to Source.
Source: Price series used for the fast EMA.
Offset: Visual offset only; no effect on logic.
Smoothing
Type: Choose “SMA / EMA / RMA / WMA / None” for the reference line.
Length: Period for the smoothing type above.
Visualization
Show Labels: Toggle the on-chart Enter labels.
EMA 8/21 Filter
Enable EMA 8/21 Filter: Only mark when EMA(8) > EMA(21).
Fast EMA / Slow EMA: Lengths for the filter (defaults 8/21).
Plot Filter EMAs: Display the 8/21 lines for context.
Adaptive entry when filter flips ON: Allows a one-time Enter candidate on the bar the trend filter turns on (handy when studying re-acceleration after a pullback).
Visuals
White line: Fast EMA of Source.
Blue line: Selected smoother (your slower reference).
Labels: “Pyramid Enter” markers at candidate spots (intrabar + bar-close confirmation are handled internally to keep charts tidy).
No alerts are included. This tool is for chart study only.
Suggested study workflow
Context first — Add your higher-timeframe tools or moving averages to understand the broader regime.
Enable the 8/21 filter if you want to restrict labels to uptrends only.
Experiment with the smoother — SMA is simple, but EMA/RMA/WMA can change sensitivity.
Review clusters of “Pyramid Enter” labels during strong trends to learn where scaling could be considered in a rules-based process.
Pair with your risk framework — Because this script intentionally omits exits/position sizing, use it alongside your own stop, trailing, and de-risking logic for research.
Good citizens of the chart
No repainting tricks.
Marks follow standard EMA/smoothing crossovers with a simple state lock to avoid duplicates.
Designed to be lightweight and readable on any timeframe or symbol.
Limitations & notes
This is not a signal provider, trading system, or performance model.
Labels are educational candidates only; they do not imply profitability or suitability.
Past chart behavior does not guarantee future results. Always do your own research and practice risk management.
Compatibility
Works on all symbols/timeframes supported by TradingView.
Overlay: true (prints on price chart).
No alerts included by design.
Changelog
v1.0 — Initial public release: minimal visual study, optional 8/21 filter, adaptive flip option, no alerts.
License
Michael Culpepper Gratitude License — Free to use and modify for education and research. Please credit the author if you remix or share. Not for sale. No warranty.
Tags / Category (suggested)
Category: Trend Analysis / Educational Tools
Tags: pyramid, scaling, trend, ema, crossover, education, study
Ben's BTC Macro Fair Value OscillatorBen's BTC Macro Fair Value Oscillator
Overview
The **BTC Macro Fair Value Oscillator** is a non-crypto fair value framework that uses macro asset relationships (equities, dollar, gold) to estimate Bitcoin's "macro-driven fair value" and identify mean-reversion opportunities.
"Is BTC cheap or expensive right now?" on the 4 Hour Timeframe ONLY
### Key Features
✅ **Macro-driven**: Uses QQQ, DXY, XAUUSD instead of on-chain or crypto metrics
✅ **Dynamic weighting**: Assets weighted by rolling correlation strength
✅ **Mean-reversion signals**: Identifies when BTC is cheap/expensive vs macro
✅ **Validated parameters**: Optimized through 5-year backtest (Sharpe 6.7-9.9)
✅ **Visual transparency**: Live correlation panel, fair value bands, statistics
✅ **Non-repainting**: All calculations use confirmed historical data only
### What This Indicator Does
- Builds a **synthetic macro composite** from traditional assets
- Runs a **rolling regression** to predict BTC price from macro
- Calculates **deviation z-score** (how far BTC is from macro fair value)
- Generates **entry signals** when BTC is extremely cheap vs macro (dev < -2)
- Generates **exit signals** when BTC returns to fair value (dev > 0)
### What This Indicator Is NOT
❌ Not a high-frequency trading system (sparse signals by design)
❌ Not optimized for absolute returns (optimized for Sharpe ratio)
❌ Not suitable as standalone trading system (best as overlay/confirmation)
❌ Not predictive of short-term price movements (mean-reversion timeframe: days to weeks)
---
## Core Concept
### The Premise
Bitcoin doesn't trade in a vacuum. It's influenced by:
- **Risk appetite** (equities: QQQ, SPX)
- **Dollar strength** (DXY - inverse to risk assets)
- **Safe haven flows** (Gold: XAUUSD)
When macro conditions are "good for BTC" (risk-on, weak dollar, strong equities), BTC should trade higher. When macro conditions turn against it, BTC should trade lower.
### The Innovation
Instead of looking at BTC in isolation, this indicator:
1. **Measures how strongly** BTC currently correlates with each macro asset
2. **Builds a weighted composite** of those macro returns (the "D" driver)
3. **Regresses BTC price on D** to estimate "macro fair value"
4. **Tracks the deviation** between actual price and fair value
5. **Signals mean reversion** when deviation becomes extreme
### The Edge
The validated edge comes from:
- **Extreme deviations predict future returns** (dev < -2 → +1.67% over 12 bars)
- **Monotonic relationship** (more negative dev → higher forward returns)
- **Works out-of-sample** (test Sharpe +83-87% better than training)
- **Low correlation with buy & hold** (provides diversification value)
---
## Methodology
### Step 1: Macro Composite Driver D(t)
The indicator builds a weighted composite of macro asset returns:
**Process:**
1. Calculate **log returns** for BTC and each macro reference (QQQ, DXY, XAUUSD)
2. Compute **rolling correlation** between BTC and each reference over `corrLen` bars
3. **Weight each asset** by `|correlation|` if above `minCorrAbs` threshold, else 0
4. **Sign-adjust** weights (+1 for positive corr, -1 for negative) to handle inverse relationships
5. **Z-score normalize** each reference's returns over `fvWindow`
6. **Composite D(t)** = weighted sum of sign-adjusted z-scores
**Formula:**
```
For each reference i:
corr_i = correlation(BTC_returns, ref_i_returns, corrLen)
weight_i = |corr_i| if |corr_i| >= minCorrAbs else 0
sign_i = +1 if corr_i >= 0 else -1
z_i = (ref_i_returns - mean) / std
contrib_i = sign_i * z_i * weight_i
D(t) = sum(contrib_i) / sum(weight_i)
```
**Key Insight:** D(t) represents "how good macro conditions are for BTC right now" in a normalized, correlation-weighted way.
---
### Step 2: Fair Value Regression
Uses rolling linear regression to predict BTC price from D(t):
**Model:**
```
BTC_price(t) = α + β * D(t)
```
**Calculation (Pine Script approach):**
```
corr_CD = correlation(BTC_price, D, fvWindow)
sd_price = stdev(BTC_price, fvWindow)
sd_D = stdev(D, fvWindow)
cov = corr_CD * sd_price * sd_D
var_D = variance(D, fvWindow)
β = cov / var_D
α = mean(BTC_price) - β * mean(D)
fair_value(t) = α + β * D(t)
```
**Result:** A time-varying "macro fair value" line that adapts as correlations change.
---
### Step 3: Deviation Oscillator
Measures how far BTC price has deviated from fair value:
**Calculation:**
```
residual(t) = BTC_price(t) - fair_value(t)
residual_std = stdev(residual, normWindow)
deviation(t) = residual(t) / residual_std
```
**Interpretation:**
- `dev = 0` → BTC at fair value
- `dev = -2` → BTC is 2 standard deviations **cheap** vs macro
- `dev = +2` → BTC is 2 standard deviations **rich** vs macro
---
### Step 4: Signal Generation
**Long Entry:** `dev` crosses below `-2.0` (BTC extremely cheap vs macro)
**Long Exit:** `dev` crosses above `0.0` (BTC returns to fair value)
**No shorting** in default config (risk management choice - crypto volatility)
---
## How It Works
### Visual Components
#### 1. Price Chart (Main Panel)
**Fair Value Line (Orange):**
- The estimated "macro-driven fair value" for BTC
- Calculated from rolling regression on macro composite
**Fair Value Bands:**
- **±1σ** (light): 68% confidence zone
- **±2σ** (medium): 95% confidence zone
- **±3σ** (dark, dots): 99.7% confidence zone
**Entry/Exit Markers:**
- **Green "LONG" label** below bar: Entry signal (dev < -2)
- **Red "EXIT" label** above bar: Exit signal (dev > 0)
#### 2. Deviation Oscillator (Separate Pane)
**Line plot:**
- Shows current deviation z-score
- **Green** when dev < -2 (cheap)
- **Red** when dev > +2 (rich)
- **Gray** when neutral
**Histogram:**
- Visual representation of deviation magnitude
- Green bars = negative deviation (cheap)
- Red bars = positive deviation (rich)
**Threshold lines:**
- **Green dashed at -2.0**: Entry threshold
- **Red dashed at 0.0**: Exit threshold
- **Gray solid at 0**: Fair value line
#### 3. Correlation Panel (Top-Right)
Shows live correlation and weighting for each macro asset:
| Asset | Corr | Weight |
|-------|------|--------|
| QQQ | +0.45 | 0.45 |
| DXY | -0.32 | 0.32 |
| XAUUSD | +0.15 | 0.00 |
| Avg \|Corr\| | 0.31 | 0.77 |
**Reading:**
- **Corr**: Current rolling correlation with BTC (-1 to +1)
- **Weight**: How much this asset contributes to fair value (0 = excluded)
- **Avg |Corr|**: Average correlation strength (should be > 0.2 for reliable signals)
**Colors:**
- Green/Red corr = positive/negative correlation
- White weight = asset included, Gray = excluded (below minCorrAbs)
#### 4. Statistics Label (Bottom-Right)
```
━━━ BTC Macro FV ━━━
Dev: -2.34
Price: $103,192
FV: $110,500
Status: CHEAP ⬇
β: 103.52
```
**Fields:**
- **Dev**: Current deviation z-score
- **Price**: Current BTC close price
- **FV**: Current macro fair value estimate
- **Status**: CHEAP (< -2), RICH (> +2), or FAIR
- **β**: Current regression beta (sensitivity to macro)
---
## Installation & Setup
### TradingView Setup
1. Open TradingView and navigate to any **BTC chart** (BTCUSD, BTCUSDT, etc.)
2. Open **Pine Editor** (bottom panel)
3. Click **"+ New"** → **"Blank indicator"**
4. **Delete** all default code
5. **Copy** the entire Pine Script from `GHPT_optimized.pine`
6. **Paste** into the editor
7. Click **"Save"** and name it "BTC Macro Fair Value Oscillator"
8. Click **"Add to Chart"**
### Recommended Chart Settings
**Timeframe:** 4h (validated timeframe)
**Chart Type:** Candlestick or Heikin Ashi
**Overlay:** Yes (indicator plots on price chart + separate pane)
**Alternative Timeframes:**
- Daily: Works but slower signals
- 1h-2h: May work but not validated
- < 1h: Not recommended (too noisy)
### Symbol Requirements
**Primary:** BTC/USD or BTC/USDT on any exchange
**Macro References:** Automatically fetched
- QQQ (Nasdaq 100 ETF)
- DXY (US Dollar Index)
- XAUUSD (Gold spot)
**Data Requirements:**
- At least **90 bars** of history (warmup period)
- Premium TradingView recommended for full historical data
---
## Reading the Indicator
### Identifying Signals
#### Strong Long Signal (High Conviction)
- ✅ Deviation < -2.0 (extreme undervaluation)
- ✅ Avg |Corr| > 0.3 (strong macro relationships)
- ✅ Price touching or below -2σ band
- ✅ "LONG" label appears below bar
**Interpretation:** BTC is extremely cheap relative to macro conditions. Historical data shows +1.67% average return over next 12 bars (48 hours at 4h timeframe).
#### Moderate Long Signal (Lower Conviction)
- ⚠️ Deviation between -1.5 and -2.0
- ⚠️ Avg |Corr| between 0.2-0.3
- ⚠️ Price approaching -2σ band
**Interpretation:** BTC is cheap but not extreme. Consider as confirmation for other signals.
#### Exit Signal
- 🔴 Deviation crosses above 0 (returns to fair value)
- 🔴 "EXIT" label appears above bar
**Interpretation:** Mean reversion complete. Close long positions.
#### Strong Short/Avoid Signal
- 🔴 Deviation > +2.0 (extreme overvaluation)
- 🔴 Avg |Corr| > 0.3
- 🔴 Price touching or above +2σ band
**Interpretation:** BTC is expensive vs macro. Historical data shows -1.79% average return over next 12 bars. Consider exiting longs or reducing exposure.
### Regime Detection
**Strong Regime (Reliable Signals):**
- Avg |Corr| > 0.3
- Multiple assets weighted > 0
- Fair value line tracking price reasonably well
**Weak Regime (Unreliable Signals):**
- Avg |Corr| < 0.2
- Most weights = 0 (grayed out)
- Fair value line diverging wildly from price
- **Action:** Ignore signals until correlations strengthen
📋 Trading Checklist – Precision Entry SystemTake your trading discipline to the next level with this Precision Trading Checklist for TradingView. Designed for intraday traders following liquidity, structure, and Smart Money Concepts (SMC) AKA ICT Concepts, this overlay ensures you never miss a key confirmation before entering a trade.
Features:
✅ Pre-Market Preparation: Track previous session highs/lows, AM/PM sessions, and key liquidity zones.
✅ Bias & Narrative Check: Quickly confirm daily trend, price position relative to daily open, and higher timeframe confluence.
✅ Session-Specific Rules: Focused sessions like Silver Bullet (10:00–11:30), Afternoon (13:30–15:00), and Final Hour (15:00–16:00).
✅ Structure & Setup Validation: Confirm liquidity sweeps, market structure shifts, expansion candles, fair value gaps, and order blocks.
✅ Risk Management Reminders: Stop-loss, target points, risk percentage, breakeven management, and pyramiding rules.
✅ Post-Trade Journaling: Document entries, session, setup type, trade outcome, and grading for continuous improvement.
✅ Golden Rules: Visual reminders to enforce discipline, avoid emotional trades, and respect session limits.
Why Use It:
This checklist is perfect for traders who want to stay consistent, minimise mistakes, and follow a disciplined routine. Displayed as an overlay on your chart, it provides all essential checks in one glance, keeping you focused on the setup rather than scrolling through notes or separate trackers.
How to use:
Add the indicator to your chart
Click the settings/gear icon
Check off items as you complete them
The checklist on your chart updates in real-time with green checkmarks!
The checkboxes will persist as long as the indicator is on your chart,
making it perfect for tracking your pre-trade and post-trade routines!
Follow the checklist items step by step before entering trades.
Use the session-specific guidelines to filter setups.
Journal your trades post-execution for growth and analysis.
Adil Hoca - US Market Score Only NasdaqMarket Score & Crash Detector Indicator
User Guide & Usage Instructions
This TradingView indicator provides a comprehensive market risk assessment, combining multiple financial metrics to detect potential market crashes, recessions, and overall trend regimes. It is especially designed to alert traders and investors about early warning signals before significant market downturns, enabling proactive decision-making.
Key Features
Multi-Metric Market Sentiment: Uses volatility indices, currency strength, yield spreads, breadth, and bond ratios to evaluate market health.
Crash Detection System: Monitors various conditions such as VIX spikes, breadth collapse, momentum cliffs, high-yield spread surges, and hidden market weaknesses.
Reccession Indicator: Incorporates the Sahm Rule, a proven recession indicator based on employment data.
Alert System: Sends real-time alerts for critical market conditions, including crashes, recession signals, and spreads alerts.
Visual Elements: Includes histograms, trend lines, threshold lines, and shape signals to visually interpret market states.
Customizable Parameters: Adjust weights, sensitivity, thresholds, and alert preferences to suit your trading style.
How it Works
1. Data Collection
The indicator fetches data from multiple sources:
Market volatility: VIX index
Currency strength: DXY index
Interest rates: SOFR, PCE inflation
Yield spreads: High Yield Credit Spread, Investment Grade Spread
Market Breadth: Ratio of QQQ to TLT (tech vs. bonds)
Bond Ratios: TMF/TMV (long-term bonds)
Employment Data: The Sahm Rule (monthly unemployment data)
2. Normalization
Data is normalized via z-score calculations over defined periods to standardize the metrics, making them comparable regardless of their original scale.
3. Composite Score Calculation
Each metric is weighted according to user-defined parameters, and a composite score is generated to represent the overall market sentiment, smoothed with an EMA for trend clarity.
4. Crash & Recession Detection
Crash System: Looks for conditions like VIX spikes, breadth collapse, momentum drops, high yield spread surges, and hidden weaknesses. If multiple conditions meet thresholds, alerts trigger.
Recession Indicator: Uses the Sahm Rule, which compares the current unemployment rate's three-month average to the lowest point over the past 12 months. When it exceeds a certain threshold, a recession signal is generated.
5. Alerts & Visualization
Sound & Shape Alerts: Signals like warning triangles, cross icons, and color changes.
Threshold Lines: Indicate levels like "Strong Bullish," "Strong Bear," and critical zones.
Dual Confirmation: Combines crash and recession signals for high-confidence alerts.
Usage & Customization
Placing the Indicator
Copy and paste the Pine Script code into TradingView's Pine Editor.
Save and add the script to your chart. Adjust inputs like weights, sensitivity mode, thresholds, and alert preferences via the input panel.
Key Inputs
Weights: Customize the importance of each metric.
Sensitivity Mode: Changes alert thresholds for early warnings.
Crash Sensitivity: Defines how many indicators need to trigger before issuing a crash alert.
Recession Thresholds: Set the unemployment level that signals recession.
Interpreting Visuals
Histogram: Shows the composite score; green means bullish, red indicates bearish.
Momentum Line: Highlights trend acceleration/deceleration.
Threshold Lines: Dotted/dashed lines showing critical zones.
Shape Shapes: Triangles or crosses appear for early signals or critical events.
Alerts
Crash Alerts: Warn of imminent market crashes.
Recession Alerts: Indicate economic downturns based on Sahm Rule.
Spread Alerts: Show high-yield credit spread surges signaling stress.
Double Confirmation: High-confidence signals when crash and recession conditions align.
Best Practices
Use on multiple timeframes for confirmation.
Combine with other technical analysis tools for better accuracy.
Adjust thresholds according to your risk appetite.
Follow alert signals for early warning but always consider overall context.
Final Notes
This indicator synthesizes a variety of leading and lagging indicators to give a holistic view of market health. It is designed to provide early warnings, especially in volatile or stressed environments, helping traders avoid severe drawdowns or position ahead of major downturns.
Feel free to modify input parameters for your preferences, or integrate additional data sources for further refinement.
This detailed explanation can be directly included as a description or documentation within your TradingView script, helping users grasp its full capabilities and optimal usage.
Simulated Fear & Greed (CNN-calibrated v2)🧭 Fear & Greed Index — TradingView Version (Simulated CNN Model)
🔍 Purpose
The Fear & Greed Index is a sentiment indicator that quantifies market emotion on a scale from 0 to 100, where:
0 represents Extreme Fear (capitulation, oversold conditions), and
100 represents Extreme Greed (euphoria, overbought conditions).
It helps traders assess whether the market is driven by fear (risk aversion) or greed (risk appetite) — giving a high-level view of potential turning points in market sentiment.
⚙️ How It Works in TradingView
Because TradingView cannot directly access CNN’s or alternative external sentiment feeds, this indicator simulates the Fear & Greed Index by analyzing in-chart technical data that reflect investor psychology.
It uses a multi-factor model, converting price and volume signals into a composite sentiment score.
🧩 Components Used (Simulated Metrics)
Category Metric Emotional Interpretation
Volatility ATR (Average True Range) High ATR = Fear, Low ATR = Greed
Momentum RSI + MACD Histogram Rising momentum = Greed, Falling = Fear
Volume Activity Volume Z-Score High positive deviation = Greed, Low = Fear
Trend Context SMA Regime Bias (50/200) Downtrend adds Fear penalty, Uptrend supports Greed
These elements are normalized into a 0–100 scale using percentile ranks (like statistical scoring) and then combined using user-adjustable weights.
⚖️ CNN-Style Calibration
The script follows CNN’s five sentiment bands for clarity:
Range Zone Colour Description
0–25 Extreme Fear 🔴 Red Panic, forced selling, capitulation risk
25–45 Fear 🟠 Orange Uncertainty, hesitation, early accumulation phase
45–55 Neutral ⚪ Gray Balanced sentiment, indecision
55–75 Greed 🟢 Light Green Optimism, trend continuation
75–100 Extreme Greed 💚 Bright Green Euphoria, risk of reversal
This structure aligns visually with CNN’s public gauge, making it easy to interpret.
Central Limit Theorem Reversion IndicatorDear TV community, let me introduce you to the first-ever Central Limit Theorem indicator on TradingView.
The Central Limit Theorem is used in statistics and it can be quite useful in quant trading and understanding market behaviors.
In short, the CLT states: "When you take repeated samples from any population and calculate their averages, those averages will form a normal (bell curve) distribution—no matter what the original data looks like."
In this CLT indicator, I use statistical theory to identify high-probability mean reversion opportunities in the markets. It calculates statistical confidence bands and z-scores to identify when price movements deviate significantly from their expected distribution, signaling potential reversion opportunities with quantifiable probability levels.
Mathematical Foundation
The Central Limit Theorem (CLT) says that when you average many data points together, those averages will form a predictable bell-curve pattern, even if the original data is completely random and unpredictable (which often is in the markets). This works no matter what you're measuring, and it gets more reliable as you use more data points.
Why using it for trading?
Individual price movements seem random and chaotic, but when we look at the average of many price movements, we can actually predict how they should behave statistically. This lets us spot when prices have moved "too far" from what's normal—and those extreme moves tend to snap back (mean reversion).
Key Formula:
Z = (X̄ - μ) / (σ / √n)
Where:
- X̄ = Sample mean (average return over n periods)
- μ = Population mean (long-term expected return)
- σ = Population standard deviation (volatility)
- n = Sample size
- σ/√n = Standard error of the mean
How I Apply CLT
Step 1: Calculate Returns
Measures how much price changed from one bar to the next (using logarithms for better statistical properties)
Step 2: Average Recent Returns
Takes the average of the last n returns (e.g., last 100 bars). This is your "sample mean."
Step 3: Find What's "Normal"
Looks at historical data to determine: a) What the typical average return should be (the long-term mean) and b) How volatile the market usually is (standard deviation)
Step 4: Calculate Standard Error
Determines how much sample averages naturally vary. Larger samples = smaller expected variation.
Step 5: Calculate Z-Score
Measures how unusual the current situation is.
Step 6: Draw Confidence Bands
Converts these statistical boundaries into actual price levels on your chart, showing where price is statistically expected to stay 95% and 99% of the time.
Interpretation & Usage
The Z-Score:
The z-score tells you how statistically unusual the current price deviation is:
|Z| < 1.0 → Normal behavior, no action
|Z| = 1.0 to 1.96 → Moderate deviation, watch closely
|Z| = 1.96 to 2.58 → Significant deviation (95%+), consider entry
|Z| > 2.58 → Extreme deviation (99%+), high probability setup
The Confidence Bands
- Upper Red Bands: 95% and 99% overbought zones → Expect mean reversion downward as the price is not likely to cross these lines.
- Center Gray Line: Statistical expectation (fair value)
- Lower Blue Bands: 95% and 99% oversold zones → Expect mean reversion upward
Trading Logic:
- When price exceeds the upper 95% band (z-score > +1.96), there's only a 5% probability this is random noise → Strong sell/short signal
- When price falls below the lower 95% band (z-score < -1.96), there's a 95% statistical expectation of upward reversion → Strong buy/long signal
Background Gradient
The background color provides real-time visual feedback:
- Blue shades: Oversold conditions, expect upward reversion
- Red shades: Overbought conditions, expect downward reversion
- Intensity: Darker colors indicate stronger statistical significance
Trading Strategy Examples
Hypothetically, this is how the indicator could be used:
- Long: Z-score < -1.96 (below 95% confidence band)
- Short: Z-score > +1.96 (above 95% confidence band)
- Take profit when price returns to center line (Z ≈ 0)
Input Parameters
Sample Size (n) - Default: 100
Lookback Period (m) - Default: 100
You can also create alerts based on the indicator.
Final notes:
- The indicator uses logarithmic returns for better statistical properties
- Converts statistical bands back to price space for practical use
- Adaptive volatility: Bands automatically widen in high volatility, narrow in low volatility
- No repainting: yay! All calculations use historical data only
Feedback is more than welcome!
Henri
Order Blocks Zones with Signals█ OVERVIEW
“Order Blocks Zones with Signals” is a technical analysis tool that automatically identifies Order Blocks (OB) and optionally Fair Value Gaps (FVG) on the chart.
The script visualizes these zones as colored rectangles, offering full customization of style, transparency, and signal display.
It also generates entry and exit signals (Break & Exit) that can serve as confirmations in strategies based on price action and market structure.
Thanks to flexible candle size filters and rich visual options, the indicator maintains chart clarity and readability.
█ CONCEPTS
Order Blocks (OB) are key zones on the chart where significant price movements previously occurred — areas where large market participants (institutions, so-called smart money) initiated or closed positions.
An OB is the last candle that followed the prior trend before the market reversed (e.g., for a Bullish OB: the last bearish candle before a pivot low and a strong upward impulse).
The script detects these levels using local price pivots, analyzing candle direction to filter out less significant movements.
FVG (Fair Value Gaps) represent areas of imbalance between buyers and sellers — price gaps formed by a sharp impulse where full trading did not occur due to one-sided order dominance (e.g., excess buy or sell orders).
Why combine OB and FVG in one indicator?
Combining OB and FVG analysis is essential because these phenomena often occur sequentially in the institutional market cycle:
1. Order Block — institutions enter the market in the OB zone, absorbing orders and building positions.
2. Strong impulse — after smart money entry, a rapid price move creates an FVG (imbalance gap).
3. Retest — price naturally returns to these zones (OB or FVG), drawn by unfilled orders and the search for equilibrium.
Such areas strongly attract price, as they represent not only historical institutional levels but also open “holes” in the order book. Retests of OB and FVG are ideal entry opportunities with high reaction probability (rebound or breakout). The indicator combines these two interconnected elements, enabling comprehensive market structure analysis in a single tool.
Order Blocks are labeled as:
Bullish OB – demand zones, often accumulation areas before an upmove.
Bearish OB – supply zones, signaling potential impulse end or correction start.
█ FEATURES
Order Block Detection (OB Detection):
- Automatic identification of demand and supply zones based on pivots.
- OB is the last candle aligned with the prior trend, just before the market reversal — precisely identified through candle sequence analysis around the pivot.
- OB zones appear with a delay equal to Pivot Length (default 10 bars).
- Break signals trigger when a candle’s body (close) fully pierces the zone, causing the zone to disappear immediately (e.g., close < low of Bullish OB → Break Down and zone deletion).
- Minimum size filtering via OB Size Multiplier.
- Option to create OB without wicks (Include Wicks in OB): when disabled, OB zones are based solely on candle bodies (open/close), ignoring wicks (high/low).
Fair Value Gap Detection (FVG Detection):
- Optional, with enable/disable capability.
- FVG are detected without delay — immediately upon gap occurrence.
- Size filtering via Candle Size Period and FVG Size Multiplier.
Customizable Styling:
- Separate colors and border styles (Solid / Dashed / Dotted) for each zone type.
- Adjustable transparency and border thickness.
- Unified color for box, border, and signal of the same type.
Breakout and Exit Signals:
- Break Up – triggered when a candle’s close breaks above a Bearish OB, causing the zone to disappear.
- Break Down – triggered when a candle’s close breaks below a Bullish OB, causing the zone to disappear.
- Exit Up / Exit Down – temporary exit from the zone without full breakout (price leaves the zone but doesn’t close beyond it). Signal type selection: Break, Exit, or Both.
- Alerts: built-in alerts for all signal types — triggered automatically on candle close confirming breakout or exit from OB.
█ HOW TO USE
Adding to chart: import the code into Pine Editor and run the script on TradingView.
Settings configuration:
- Pivot Length: controls swing detection sensitivity and OB display delay (default 10).
- Include Wicks in OB: enabled (default) – OB includes wicks; disabled – OB uses bodies only.
- Size Filter: adjust Candle Size Period and OB/FVG Size Multiplier to filter out small zones.
- Colors & Styles: set colors, styles, and transparency for each zone type.
- Signal Type: choose which signals to display (Break, Exit, or Both).
Signal interpretation:
- OB Break Up: price closes above Bearish OB → zone disappears → potential bullish continuation.
- OB Break Down: price closes below Bullish OB → zone disappears → potential bearish continuation.
- Exit Signals: price leaves the zone temporarily without breakout — often signals impending reversal or pullback.
Tips:
- Use OB signals alongside other indicators like RSI, MACD, SMI, or trend filters.
- Order Blocks from higher timeframes (e.g., 4H, 1D) carry greater significance and reaction strength.
- Remember: FVG are detected immediately, OB with delay — a complementary approach!
█ APPLICATIONS
- Smart Money Concepts (SMC): use OB zones as dynamic support and resistance levels. In an uptrend, look for buy opportunities in bullish OBs, which price often retests before further gains. Combining with RSI, MACD, or Fibonacci levels enhances zone significance, confirming institutional demand.
- Breakout Trading: trade based on OB breakout signals. A buy signal after breaking a bearish OB may indicate a strong upward impulse, especially if supported by rising MACD or RSI above 50. Similarly for sell signals after Break Down.
- Reversal Zones: Exit signals may indicate the end of a move or correction. Safest to use in alignment with higher-timeframe trend and confirmed by another indicator (e.g., RSI divergence, Fibonacci levels).
- Confluence Analysis: combine OB and FVG for deeper market structure and equilibrium insight. When an Order Block overlaps or borders an FVG, we get confluence of two institutional phenomena — OB (smart money entry) + FVG (imbalance) — making these areas particularly strong price magnets, increasing retest and reaction probability.
█ NOTES
- FVG can be fully disabled for a cleaner chart view.
- In consolidation periods, signals may appear more frequently — always confirm with additional trend filters.
- Works on all markets and timeframes (crypto, forex, indices, stocks).
8x Heikin Ashi Streak (1m) by Bitcoin Benito🧭 Indicator Description: “8x Heikin Ashi Streak (1m) by Bitcoin Benito”
**Purpose:**
The *8x Heikin Ashi Streak* indicator helps traders quickly identify strong short-term momentum on the **1-minute timeframe**. It automatically tracks Heikin Ashi candles and alerts you whenever **8 consecutive bullish or bearish candles** appear — a visual cue that a strong intraday trend or exhaustion point might be forming.
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🔍 **How It Works**
* The indicator continuously counts Heikin Ashi candles in real-time.
* When it detects **8 bullish (green)** or **8 bearish (red)** candles in a row:
* A green ▲ marker appears **below** the 8th candle for bullish streaks.
* A red ▼ marker appears **above** the 8th candle for bearish streaks.
* You can set alerts to automatically notify you when these streaks occur.
This makes it ideal for **momentum traders**, **scalpers**, and **trend-reversal spotters** who want to:
* Catch strong intraday moves early.
* Identify potential overextension zones before pullbacks.
* Automate alert signals for short-term trading setups.
IMPORTANT: Only trade when most of the 8 candles are below/above the EMA 8 Line respectively. Add an EMA 8 indicator to see if this is the case
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⚙️ **How to Use**
1. **Apply to a 1-minute chart** (this script is optimized for 1m timeframes).
2. When the indicator plots a green or red triangle:
* **Green triangle (8 bullish candles):** Trend momentum is strong upward.
* **Red triangle (8 bearish candles):** Downward momentum is dominant.
3. Optionally, combine with volume or EMA filters to confirm breakouts or exhaustion.
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🔔 **Setting Up Alerts**
* Click the **Alert (🔔)** icon on TradingView.
* Under *Condition*, select:
* “8x Heikin Ashi Streak (1m)” → “8 Bullish Heikin Ashi (1m)”
* OR “8x Heikin Ashi Streak (1m)” → “8 Bearish Heikin Ashi (1m)”
* Choose **Once per bar close** to trigger the alert when the 8th candle completes.
* Add your custom message, e.g.
> “🚀 8 bullish Heikin Ashi candles in a row on 1-minute chart!”
> “🔻 8 bearish Heikin Ashi candles in a row on 1-minute chart!”
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📊 **Best Practices**
* Works best on **liquid assets** (major forex pairs, indices, BTC/USD, etc.).
* Pair with **RSI**, **EMA**, or **Volume** indicators for stronger confirmation.
* Not a standalone buy/sell signal — treat it as a **momentum or exhaustion alert**.
* Can be adapted to other timeframes by changing chart resolution.
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⚠️ **Disclaimer**
This indicator is for **educational and analytical purposes only**.
Trading carries risk — always test on demo accounts and use proper risk management.
No indicator guarantees profit; this is a tool for insight and timing, not financial advice.
PriceAction & Economic StrategyThis indicator combines price-action logic with macroeconomic data to generate trading signals.
Features:
- Price-action signals: A bullish signal occurs when a candle closes above its open; a bearish signal occurs when a candle closes below its open.
- Signal gap: The indicator includes an input called "Signal Gap (bars)" that defines the minimum number of bars between signals. By default the gap is set to 3, but you can adjust this between 1 and 10 to control signal frequency.
- Alerts: The script defines alert conditions for long and short signals, allowing you to create TradingView alerts that notify you when a new signal occurs.
- Economic data: The script uses TradingView's built-in `request.economic()` function to request U.S. GDP data. The GDP series is plotted in the Data Window for additional macroeconomic context.
How to use:
1. Add the indicator to a chart.
2. Open the indicator's settings and adjust the "Signal Gap (bars)" input to set the minimum bar gap between signals.
3. Look for green triangles plotted below the bars (bullish signals) and red triangles plotted above the bars (bearish signals). These appear only when the gap criterion is met.
4. If you want alerts, click the Alert button in TradingView, select this indicator, and choose either the Long or Short alert conditions.
5. To view the GDP data, open the Data Window; the GDP value will be shown alongside other series for each bar.
6. Use these signals in combination with your own analysis; this indicator is for educational purposes and does not constitute financial advice.
Auto Fibonacci LevelsAuto Fibonacci Momentum Zones with Visible Range Table
Overview and Originality
The Auto Fibonacci Momentum Zones indicator offers a streamlined, static overlay of Fibonacci retracement levels inspired by extreme RSI momentum thresholds, enhanced with a dynamic table displaying the high and low of the currently visible chart range. This isn't a repackaged RSI oscillator or basic Fib drawer—common in TradingView's library—but a purposeful fusion of geometric harmony (Fibonacci ratios) with momentum psychology (RSI extremes at 35/85), projected as fixed horizontal reference lines on the price chart. The addition of the visible range table, powered by PineCoders' VisibleChart library, provides real-time context for the chart's current view, enabling traders to quickly assess range compression or expansion relative to these zones.
This script's originality stems from its "static momentum mapping": by hardcoding Fib levels on a dynamic chart, it creates universal psychological support/resistance lines that transcend specific assets or timeframes.
Unlike dynamic Fib tools that auto-adjust to price swings (risking noise in ranging markets) or standalone RSI plots (confined to panes), this delivers clean, bias-adjustable overlays for confluence analysis. The visible range table justifies the library integration—it's not a gratuitous add-on but a complementary tool that quantifies the "screen real estate" of price action, helping users correlate Fib touches with actual volatility. Drawn from original code (no auto-generation or public templates), it builds TradingView's body of knowledge by simplifying multi-tool workflows into one indicator, ideal for discretionary traders who value visual efficiency over algorithmic complexity.
How It Works: Underlying Concepts
Fibonacci retracements, derived from the Fibonacci sequence and the golden ratio (≈0.618), identify potential reversal points based on the idea that markets retrace prior moves in predictable proportions: shallow (23.6%, 38.2%), mid (50%), and deep (61.8%, 78.6%).
Adjustable Outputs
1. The "Invert Fibs" toggle (default: true) for bearish/topping bias, can be flipped aligning with trend context.
2. Fibonacci Levels: Seven semi-transparent horizontal lines are drawn using `hline()`:
- 0.0 at high (gray).
- 0.236: high - (range × 0.236) (light cyan, shallow pullback).
- 0.382: high - (range × 0.382) (teal, common retracement).
- 0.5: midpoint average (green, equilibrium).
- 0.618: high - (range × 0.618) (amber, golden pocket for reversals).
- 0.786: high - (range × 0.786) (orange, deep support).
- 1.0 at low (gray).
Colors progress from cool (shallow) to warm (deep) for intuitive scanning.
3. Optional Fib Labels: Right-edge text labels (e.g., "0.618") appear only if enabled, positioned at the last bar + offset for non-cluttering visibility.
4. Visible Range Table: Leveraging the VisibleChart library's `visible.high()` and `visible.low()` functions, a compact 2x2 table (top-right corner) updates on the last bar to show the extrema of bars currently in view. This mashup enhances utility: Fib zones provide fixed anchors, while the table's dynamic values reveal if price is "pinned" to a zone (e.g., visible high hugging 0.382 signals resistance). The library is invoked sparingly for performance, adding value by bridging static geometry with viewport-aware data—unavailable in built-ins without custom code.
How to Use It
1. Setup:
Add to any chart (e.g., 15M for scalps, Daily for swings). As an overlay, lines appear directly on price candles—adjust chart scaling if needed.
2. Input Tweaks:
Invert Fibs: Enable for downtrends (85 top), disable for uptrends (35 bottom).
Show Fibs: Toggle labels for ratio callouts (off for clean charts).
Show Table: Display/hide the visible high/low summary (red for high, green for low, formatted to 2 decimals).
3. Trading Application:
Zone Confluence: Seek price reactions at each fibonacci level—e.g., a doji at 0.618 + rising volume suggests entry; use 0.0/1.0 as invalidation.
Range Context: Check the table: If visible high/low spans <20% of the Fib arc (e.g., both near 0.5), anticipate breakout; wider spans signal consolidation.
Multi-Timeframe: Overlay on higher TF for bias, lower for precision—e.g., Daily Fibs guide 1H entries.
Enhancements: Pair with volume or candlesticks; set alerts on line crosses via TradingView's built-in tools. Backtest on your symbols to validate (e.g., equities favor 0.382, forex the 0.786).
This indicator automates advanced Fibonacci synthesis dynamically, eliminating manual measurement and calculations.
published by ozzy_livin
