Open Interest:CME e-o-d vs CFTC e-o-wCFTC only publishes total OI on fridays, related to last Tuesday.
But what happened since last Tuesday?
CME Vol & Open Interest data is recorded&exported daily by quandl.com to tradingview
via the che CHRIS/CME datasets
www.quandl.com
Eg. Nat Gas next outstanding cntract n. 20, field n. 7(OI)
@quandl.com:
www.quandl.com
is exported @tradingview:
www.tradingview.com
Every outstanding contract's OI & vol is exported (black column), but not the total (yellow line):
tiny.cc
This script sums up all the existing outstanding contract's OI for the future (the black column), so one can have an idea of the total OI for the day (Yellow line).
As numer of outstanding contracts varies from future to future,Eg:
E-mini (ES) has 4 contracts, Gold(GC) 16 cntrcts, NatGas(NG) has 43, WTI(CL) has 38 etc
the scrips tries to guess how many exist for it and sums them up, to have the total OI for tha day
Number ofoutstanding contracts exported by quandl.com to tradingview is taken from
s3.amazonaws.com
There are 2 params you can enter on the script:
* override the ticket symbol on the chart ,if script cannot guessit or you need a different one
* enter the "preliminary" OI that is published by CME early the next day, butb not yet exported by quandl to tradingview
This script is Open so anyone can copy and modifyit for its use.
Please post comments and ideas if you find it useful
I try to keep a log of my work here:
Cari dalam skrip untuk "tradingview+筹码结构"
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
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
BTC/USD 3分バイナリー予測【完全修正版v7.2】## BTC/USD 3-Minute Binary Prediction Indicator v7.2 Documentation
### Overview
This indicator predicts whether BTCUSD price will move ±$25 or more within 3 minutes using a 5-layer filter system and pattern recognition. Designed for 30-second timeframe analysis with statistical tracking.
### ⚠️ Critical Warnings
- **This is a prediction tool, NOT a profit guarantee**
- **30-second timeframe ONLY** (Will not function correctly on other timeframes)
- **BTCUSD pair ONLY**
- **Past performance does not guarantee future results**
- **Test thoroughly in demo before live trading**
- **You can lose your entire investment**
### Core Components
#### 1. Five-Layer Filter System
```
Layer 1: Trend Alignment (25 points) - EMA configuration analysis
Layer 2: Indicator Confluence (25 points) - RSI + MACD confirmation
Layer 3: Volume Analysis (20 points) - Abnormal volume detection
Layer 4: Key Levels (15 points) - Support/Resistance proximity
Layer 5: Momentum (15 points) - Price acceleration measurement
```
#### 2. Pattern Recognition Engine
- Double Top/Bottom formations
- Triangle patterns (Symmetrical, Ascending, Descending)
- Channel patterns
- Candlestick patterns (Engulfing, Hammer, Hanging Man)
#### 3. Performance Tracking
- Overall win rate
- Hourly performance
- Daily performance
- Real-time statistics
### Input Parameters
#### Basic Settings
- `Range Width ($)`: Target price movement (Default: $50 = ±$25)
- `Minimum Confidence (%)`: Required confidence for entry (Default: 75%)
- `Max Daily Trades`: Overtrading prevention (Default: 5)
#### Filter Settings
- `Trend Filter`: EMA alignment validation
- `Volume Confirmation`: Volume spike detection
- `S/R Filter`: Key level analysis
- `Momentum Alignment`: Directional strength confirmation
#### Display Settings
- `Minimal Mode`: Reduced visual elements for experienced users
- `Pattern Display`: Visual pattern overlays
- `EMA Lines`: Moving average visualization
### Usage Instructions
#### Setup Process
1. Open BTCUSD chart on TradingView
2. **Set timeframe to 30 seconds** (CRITICAL)
3. Add indicator to chart
4. Adjust parameters if needed
#### Reading Signals
**Decision Panel (Left Side)**
- `HIGH`: Predicts +$25 move in 3 minutes
- `LOW`: Predicts -$25 move in 3 minutes
- `WAIT`: Conditions building, no entry yet
- `STAY`: No trade opportunity
**F-Score Interpretation**
- 65+ points: Direction suggestion (light color)
- 80+ points: Strong signal (solid color)
- Entry ready: Exclamation mark (!)
**Statistics Panel (Right Side)**
- Win rate: Percentage of successful predictions
- 1H Stats: Last hour performance
- Daily Stats: Today's results
#### Entry Execution
1. Wait for `HIGH!` or `LOW!` in decision panel
2. Large arrow appears on chart (▲ for HIGH, ▼ for LOW)
3. Enter at **next candle open**
4. Result evaluated after 3 minutes (6 candles)
### Algorithm Logic
#### Early Entry System (v7.2 Feature)
The indicator uses predictive analysis starting at F-Score 65 instead of waiting for 80:
- Faster signal generation
- Reduced opportunity loss
- Slightly lower win rate trade-off
#### Confidence Calculation
```
Base confidence: 50%
+ Filter score bonus
+ Pattern recognition bonus
+ Volatility adjustment
- Risk factors
= Final confidence (50-95%)
```
### Technical Specifications
#### Multi-Timeframe Analysis
- Primary: 30-second chart
- Secondary: 1-minute data
- Reference: 5-minute trend
#### Data Processing
- Real-time tick analysis
- No repainting (signals are final)
- Historical verification system
### Limitations & Known Issues
1. **Spread/Commission Not Included**: Actual profits will be lower
2. **30-Second Noise**: High false signal risk on ultra-short timeframe
3. **Network Latency**: Execution delays not accounted for
4. **Market Conditions**: Performance varies with volatility
5. **Algorithm Trading**: Cannot compete with HFT systems
### Performance Metrics
- Target Win Rate: 83% (aspirational)
- Evaluation Period: 3 minutes
- Risk per trade: Fixed ±$25
- Maximum daily exposure: 5 trades
### Troubleshooting Guide
**No signals appearing?**
- Check F-Score (needs 65+)
- Verify 30-second timeframe
- Ensure BTCUSD pair selected
**Low win rate?**
- Only trade 75%+ confidence signals
- Respect daily trade limit
- Avoid news events
**Pattern shows "-"?**
- Normal when no clear pattern exists
- Not all market conditions produce patterns
### Code Modification Notes
Written in Pine Script v6. Key considerations for modifications:
- Global variables use `var` for persistence
- Drawing objects require manual management
- Bar counting varies by timeframe
- Pattern detection runs on confirmed bars only
### Risk Disclosure
**IMPORTANT**: Trading cryptocurrencies involves substantial risk of loss and is not suitable for all investors. The high degree of leverage can work against you as well as for you. Before deciding to trade, you should carefully consider your investment objectives, level of experience, and risk appetite. The possibility exists that you could sustain a loss of some or all of your initial investment and therefore you should not invest money that you cannot afford to lose.
### Support & Updates
- Report issues in TradingView comments
- Check for updates regularly
- Version 7.2 is current release
- Community feedback welcome
### Legal Notice
This indicator is provided for educational and research purposes only. It should not be construed as investment advice. The authors and distributors of this indicator accept no liability for losses incurred through its use. Always consult with a qualified financial advisor before making investment decisions.
---
*Version: 7.2*
*License: Mozilla Public License 2.0*
*Author: *
*Last Updated: 2024*
**FINAL WARNING: This indicator cannot predict the future. Use at your own risk. Start with demo trading. Never trade with money you cannot afford to lose.**
VXN Money Flow IndexThis indicator is based on other open source scripts. It's designed for trading Nasdaq futures (NQ and MNQ). It generates trading signals using the Money Flow Index (MFI), which measures buying and selling pressure based on price and volume. The VXN index (CBOE Nasdaq Volatility Index) filters signals to align with market sentiment.
- MFI Signals: Bullish signals occur when MFI crosses above the 20 level (oversold) and the VXN background is green (bullish sentiment). Bearish signals occur when MFI crosses below the 80 level (overbought) and the VXN background is red (bearish sentiment).
- VXN Filter: The background is green when the VXN 1-period EMA is below the 200-period SMA (bullish), and red when the EMA is above the SMA (bearish).
Usage: Apply this indicator to a Nasdaq futures chart in TradingView. Take long trades on MFI crossovers above 20 when the background is green, and short trades on MFI crossunders below 80 when the background is red. Signals are plotted as triangles on the price chart.
VXN RSI VWAP basedThis indicator is based on other open source scripts. It's designed for trading Nasdaq futures (NQ and MNQ). It generates trading signals based on the Relative Strength Index (RSI) calculated from multiple VWAP-based price series with different lengths. The VXN index (CBOE Nasdaq Volatility Index) is used to filter signals via background color.
- RSI Signals: Bullish signals occur when any RSI crosses above the 20 level (oversold), and bearish signals occur when any RSI crosses below the 80 level (overbought). These are plotted as green/red circles.
- VXN Filter: Traders should only take bullish signals (RSI > 20) when the background is green (VXN 1-period EMA < 200-period SMA, indicating bullish sentiment) and bearish signals (RSI < 80) when the background is red (VXN 1-period EMA > 200-period SMA, indicating bearish sentiment).
- Additional Signals: Optional signals are generated when all RSI lines are simultaneously bullish (green) or bearish (red), plotted as triangles if enabled.
Usage: Apply this indicator to a Nasdaq futures chart (NQ or MNQ) in TradingView. Wait for RSI crossovers above 20 when the background is green for long trades, and crossunders below 80 when the background is red for short trades. Adjust VWAP lengths, RSI length, and VXN settings to suit your trading strategy.
Strat Failed 2-Up/2-Down Scanner v2**Strat Failed 2-Up/2-Down Scanner**
The Strat Failed 2-Up/2-Down Scanner is designed for traders using The Strat methodology, developed by Rob Smith, to identify key reversal patterns in any market and timeframe. This indicator detects two specific candlestick patterns: Failed 2-Up (bearish) and Failed 2-Down (bullish), which signal potential reversals when a directional move fails to follow through.
**What It Does**
- **Failed 2-Up**: Identifies a bearish candle where the low and high are higher than the previous candle’s low and high, but the close is below the open, indicating a failed attempt to continue an uptrend. These are marked with a red candlestick, a red downward triangle above the bar, and a table entry.
- **Failed 2-Down**: Identifies a bullish candle where the high and low are lower than the previous candle’s high and low, but the close is above the open, signaling a failed downtrend. These are marked with a green candlestick, a green upward triangle below the bar, and a table entry.
- A table in the top-right corner displays the signal type ("Failed 2-Up" or "Failed 2-Down") and the ticker symbol for quick reference.
- Alerts are provided for both patterns, making the indicator compatible with TradingView’s screener for automated scanning.
**How It Works**
The indicator analyzes each candlestick’s high, low, and close relative to the previous candle:
- Failed 2-Up: `low > low `, `high > high `, `close < open`.
- Failed 2-Down: `high < high `, `low < low `, `close > open`.
When these conditions are met, the indicator applies visual markers (colored bars and triangles) and updates the signal table. Alert conditions trigger notifications for integration with TradingView’s alert system.
**How to Use**
1. Apply the indicator to any chart (stocks, forex, crypto, etc.) on any timeframe (e.g., 1-minute, hourly, daily).
2. Monitor the chart for red (Failed 2-Up) or green (Failed 2-Down) candlesticks with corresponding triangles.
3. Check the top-right table for the latest signal and ticker.
4. Set alerts by selecting “Failed 2-Up Detected” or “Failed 2-Down Detected” in TradingView’s alert menu to receive notifications (e.g., via email or app).
5. Use the signals to identify potential reversal setups in conjunction with other Strat-based analysis, such as swing levels or time-based strategies.
**Originality**
Unlike other Strat indicators that may focus on swing levels or complex candlestick combinations, this scanner specifically targets Failed 2-Up and Failed 2-Down patterns with clear, minimalist visualizations (bars, triangles, table) and robust alert functionality. Its simplicity makes it accessible for both novice and experienced traders using The Strat methodology.
**Ideal For**
Day traders, swing traders, and scalpers looking to capitalize on reversal signals in trending or ranging markets. The indicator is versatile for any asset class and timeframe, enhancing trade decision-making with The Strat’s pattern-based approach.
Same-Direction Candles (Two Symbols)Same-Direction Candles (Two Symbols)
What it does
Highlights bars on your chart when two symbols print the same candle direction on the chosen timeframe:
Both Bullish → one color
Both Bearish → another color
Great for spotting synchronous moves (e.g., NQ & ES, QQQ & SPY), or confirming risk-on/risk-off with an inverse asset (e.g., NQ vs DXY with inversion).
How it works
For each bar, the script checks whether close > open (bullish), close < open (bearish), or equal (doji) for:
The chart’s symbol
A second symbol pulled via request.security() (optionally on a different timeframe)
If both symbols are bullish, it paints Bull color; if both are bearish, it paints Bear color. Dojis can be ignored.
Inputs
Second symbol: Ticker to compare (e.g., CME_MINI:ES1!, NASDAQ:QQQ, TVC:DXY).
Second symbol timeframe: Leave blank to use the chart’s TF, or set a specific one (e.g., 5, 15, D).
Invert second symbol direction?: Flips the second symbol’s candle direction (useful for inversely related assets like DXY vs indices).
Ignore doji candles: Skip highlights when either candle is neutral (open == close).
Coloring options: Toggle bar coloring and/or background shading; pick colors; set background transparency.
Alerts
Three alert conditions:
Both Bullish
Both Bearish
Both Same Direction (bullish or bearish)
Create alerts from the Add Alert dialog after adding the script.
Use cases
Index confluence: NQ & ES moving in lockstep
ETF confirmation: QQQ & SPY agreement
FX/Index risk signals: Invert DXY against NQ/ES to see when equity strength aligns with dollar weakness
Tips
For mixed timeframes (e.g., chart on 1m, ES on 5m), set Second symbol timeframe to the higher TF to reduce noise.
Keep Ignore dojis on for cleaner signals.
Combine with your own entry rules (structure, FVGs, liquidity sweeps).
Notes
Works on any symbol/timeframe supported by TradingView.
Overlay script; no strategy/entries/exits are executed.
Past performance ≠ future results; for education only.
Version: 1.0 – initial release (bar/background highlights, doji filter, inversion, multi-TF support, alerts).
Quantum Trading MatrixThe Quantum Trading Matrix is a sophisticated Pine Script indicator designed for TradingView that offers a comprehensive trading dashboard by combining multiple market analysis techniques in one interface. The indicator integrates price action, volume, momentum, trend detection, institutional activity, and technical oscillators to provide traders a unified perspective on the market.
At its core, the script uses fundamental market data like price (open, high, low, close) and volume to calculate various metrics. The VWAP (Volume Weighted Average Price) is a key element that helps traders understand if the price is trading above or below the average price weighted by volume, indicating market strength or weakness. The distance of the current price from the VWAP is computed as a percentage to signal how far the price has diverged from this benchmark.
Momentum is measured through a "Quantum Momentum Oscillator" derived from the difference between fast and slow exponential moving averages of price. Positive momentum signals bullish conditions while negative momentum signals bearish ones. Volume flow analysis breaks down buying versus selling pressure on each bar by observing where the close price lies within the daily range combined with volume, generating an order flow ratio. This aids in identifying if buyers or sellers dominate the market at a given time.
Trend detection involves calculating EMAs of different lengths (8, 21, and 50) and aggregating their relationships into a trend score. Scores range from strong uptrend to downtrend, providing a clear directional bias. Institutional activity is inferred by detecting volume spikes significantly above the average volume, suggesting large players might be active. A dark pool estimate provides an approximate volume figure representing hidden or off-exchange trading.
The script also identifies market structure by detecting pivot highs and lows which act as resistance and support levels, respectively. These levels offer valuable insight into potential price reversals or breakouts. The RSI (Relative Strength Index) is incorporated, including a basic divergence detection to suggest potential bull or bear reversals. Volatility is measured using the Average True Range (ATR), classifying the current volatility from low to extreme, helping traders gauge the risk environment.
All these metrics are combined into a scoring system that awards points for positive indications such as price above VWAP, positive order flow, bullish momentum, and an uptrend in EMAs. The overall score ranges from 0 to 100 and is interpreted visually with emojis: a rocket for strong bullish setups, a chart up emoji for positive bias, a balanced scale for neutral, and a chart down emoji for bearish conditions.
The indicator issues alerts based on the combination of these signals, including bullish and bearish setups when multiple criteria align favorably, volume spike alerts when abnormal volume events occur, and institutional activity alerts for high volume surges.
To use this indicator effectively, traders should first assess the trend direction indicated by the EMA-based scoring. Positive momentum and price trading above the VWAP confirm bullish bias, while the opposite suggests bearishness. Volume flow and institutional activity provide additional confirmation. Support and resistance levels derived from pivots help in planning entries and exits. The RSI and volatility readings inform traders of potential overbought or oversold conditions and market risk levels. Alerts provide timely notifications to act on significant setups.
The indicator is highly customizable, allowing users to adjust the dashboard's position, size, and color theme to suit personal preferences. Parameters such as the momentum period, volume profile bars, trend multiplier, and signal sensitivity can be fine-tuned to adapt to different markets and trading styles.
This tool requires foundational knowledge of key technical concepts such as EMAs, VWAP, ATR, RSI, and volume analysis for best utilization. For traders interested in expanding their understanding, recommended resources include the TradingView Pine Script manual, technical analysis books by John J. Murphy and Dr. Alexander Elder, and practical video tutorials focusing on volume spread analysis and institutional order flow.
Overall, the Quantum Trading Matrix™ serves as a powerful control panel for active traders, providing a multi-dimensional view of the market through combined technical indicators, helping to identify high probability trade setups and manage risk effectively.
________________________________________
⚠️ Warning:
• Trading financial markets involves substantial risk.
• You can lose more money than you invest.
• Past performance of indicators does not guarantee future results.
• This script must not be copied, resold, or republished without authorization from aiTrendview.
By using this material or the code, you agree to take full responsibility for your trading decisions and acknowledge that this is not financial advice.
________________________________________
⚠️ Disclaimer and Warning (From aiTrendview)
This Dynamic Trading Dashboard is created strictly for educational and research purposes on the TradingView platform. It does not provide financial advice, buy/sell recommendations, or guaranteed returns. Any use of this tool in live trading is completely at the user’s own risk. Markets are inherently risky; losses can exceed initial investment.
The intellectual property of this script and its methodology belongs to aiTrendview. Unauthorized reproduction, modification, or redistribution of this code is strictly prohibited. By using this study material or the script, you acknowledge personal responsibility for any trading outcomes. Always consult professional financial advisors before making investment decisions.
Fractals + FVG [Combined]Звісно, ось варіант опису англійською, який можна використати для публікації індикатора в TradingView.
Description
This script combines two powerful and widely-used trading concepts into a single, comprehensive indicator: Bill Williams Fractals with dynamic support/resistance lines and Fair Value Gaps (FVG) based on the popular logic from LuxAlgo.
The goal is to provide a cleaner chart by merging two essential tools, allowing traders to analyze market structure and imbalances simultaneously.
Features
1. Williams Fractals with Invalidation Lines
This part of the indicator identifies classic Bill Williams fractals and enhances them with a unique visualization feature.
Fractal Detection: Automatically identifies both bullish (bottom) and bearish (top) fractals. You can choose between a 3-bar or 5-bar pattern in the settings.
Dynamic S/R Lines: A horizontal line is automatically drawn from every confirmed fractal, acting as a potential support or resistance level.
Automatic Invalidation: A line is considered "invalidated" or breached when the body of a candle closes past it. When this happens, the line stops extending, changes its color to the "invalidated" color, and remains on the chart as a historical reference. This provides a clear, objective signal that a level has been broken.
Customization: You can fully customize the colors for the support, resistance, and invalidated lines to match your chart theme.
2. Fair Value Gaps (FVG) / Imbalance
This module incorporates the robust FVG detection logic from LuxAlgo to automatically identify and display market imbalances.
FVG Detection: Highlights bullish and bearish Fair Value Gaps on the chart with colored boxes, representing inefficiencies in price delivery.
Automatic Mitigation: The FVG boxes are automatically removed from the chart once the price has "mitigated" or filled the gap, keeping your workspace clean and focused on active imbalances.
Multi-Timeframe (MTF): You can set the indicator to find and display FVGs from a higher timeframe directly on your current chart.
Dashboard: An optional on-screen dashboard provides a quick summary of the total count of bullish/bearish FVGs and the percentage that have been mitigated.
Full Customization: Control the colors of FVG boxes, extend their length, and configure other visual style settings.
How to Use
Fractal Lines: Use the active support and resistance lines as key levels for potential bounces or breaks. A line's invalidation can serve as confirmation of a shift in market structure.
FVG Zones: Fair Value Gaps often act as "magnets" for price. Use these zones as potential targets for your trades or as areas of interest for entries when price retraces to fill the imbalance.
Combined Strategy: The true power of this indicator comes from combining both concepts. For example, a bullish FVG forming near a key fractal support level can create a high-probability confluence zone for a long entry. Similarly, a break and invalidation of a fractal resistance line might signal that price is heading towards the next bearish FVG above.
This indicator is a tool for analysis and should be used in conjunction with your own trading strategy and risk management rules.
Multi-TF Trend Table (Configurable)1) What this tool does (in one minute)
A compact, multi‑timeframe dashboard that stacks eight timeframes and tells you:
Trend (fast MA vs slow MA)
Where price sits relative to those MAs
How far price is from the fast MA in ATR terms
MA slope (rising, falling, flat)
Stochastic %K (with overbought/oversold heat)
MACD momentum (up or down)
A single score (0%–100%) per timeframe
Alignment tick when trend, structure, slope and momentum all agree
Use it to:
Frame bias top‑down (M→W→D→…→15m)
Time entries on your execution timeframe when the higher‑TF stack is aligned
Avoid counter‑trend traps when the table is mixed
2) Table anatomy (each column explained)
The table renders 9 columns × 8 rows (one row per timeframe label you define).
TF — The label you chose for that row (e.g., Month, Week, 4H). Cosmetic; helps you read the stack.
Trend — Arrow from fast MA vs slow MA: ↑ if fastMA > slowMA (up‑trend), ↓ otherwise (down‑trend). Cell is green for up, red for down.
Price Pos — One‑character structure cue:
🔼 if price is above both fast and slow MAs (bullish structure)
🔽 if price is below both (bearish structure)
– otherwise (between MAs / mixed)
MA Dist — Distance of price from the fast MA measured in ATR multiples:
XS < S < M < L < XL according to your thresholds (see §3.3). Useful for judging stretch/mean‑reversion risk and stop sizing.
MA Slope — The fast MA one‑bar slope:
↑ if fastMA - fastMA > 0
↓ if < 0
→ if = 0
Stoch %K — Rounded %K value (default 14‑1‑3). Background highlights when it aligns with the trend:
Green heat when trend up and %K ≤ oversold
Red heat when trend down and %K ≥ overbought Tooltip shows K and D values precisely.
Trend % — Composite score (0–100%), the dashboard’s confidence for that timeframe:
+20 if trendUp (fast>slow)
+20 if fast MA slope > 0
+20 if MACD up (signal definition in §2.8)
+20 if price above fast MA
+20 if price above slow MA
Background colours:
≥80 lime (strong alignment)
≥60 green (good)
≥40 orange (mixed)
<40 grey (weak/contrary)
MACD — 🟢 if EMA(12)−EMA(26) > its EMA(9), else 🔴. It’s a simple “momentum up/down” proxy.
Align — ✔ when everything is in gear for that trend direction:
For up: trendUp and price above both MAs and slope>0 and MACD up
For down: trendDown and price below both MAs and slope<0 and MACD down Tooltip spells this out.
3) Settings & how to tune them
3.1 Timeframes (TF1–TF8)
Inputs: TF1..TF8 hold the resolution strings used by request.security().
Defaults: M, W, D, 720, 480, 240, 60, 15 with display labels Month, Week, Day, 12H, 8H, 4H, 1H, 15m.
Tips
Keep a top‑down funnel (e.g., Month→Week→Day→H4→H1→M15) so you can cascade bias into entries.
If you scalp, consider D, 240, 120, 60, 30, 15, 5, 1.
Crypto weekends: consider 2D in place of W to reflect continuous trading.
3.2 Moving Average (MA) group
Type: EMA, SMA, WMA, RMA, HMA. Changes both fast & slow MA computations everywhere.
Fast Length: default 20. Shorten for snappier trend/slope & tighter “price above fast” signals.
Slow Length: default 200. Controls the structural trend and part of the score.
When to change
Swing FX/equities: EMA 20/200 is a solid baseline.
Mean‑reversion style: consider SMA 20/100 so trend flips slower.
Crypto/indices momentum: HMA 21 / EMA 200 will read slope more responsively.
3.3 ATR / Distance group
ATR Length: default 14; longer makes distance less jumpy.
XS/S/M/L thresholds: define the labels in column MA Dist. They are compared to |close − fastMA| / ATR.
Defaults: XS 0.25×, S 0.75×, M 1.5×, L 2.5×; anything ≥L is XL.
Usage
Entries late in a move often occur at L/XL; consider waiting for a pullback unless you are trading breakouts.
For stops, an initial SL around 0.75–1.5 ATR from fast MA often sits behind nearby noise; use your plan.
3.4 Stochastic group
%K Length / Smoothing / %D Smoothing: defaults 14 / 1 / 3.
Overbought / Oversold: defaults 70 / 30 (adjust to 80/20 for trendier assets).
Heat logic (column Stoch %K): highlights when a pullback aligns with the dominant trend (oversold in an uptrend, overbought in a downtrend).
3.5 View
Full Screen Table Mode: centers and enlarges the table (position.middle_center). Great for clean screenshots or multi‑monitor setups.
4) Signal logic (how each datapoint is computed)
Per‑TF data (via a single request.security()):
fastMA, slowMA → based on your MA Type and lengths
%K, %D → Stoch(High,Low,Close,kLen) smoothed by kSmooth, then %D smoothed by dSmooth
close, ATR(atrLen) → for structure and distance
MACD up → (EMA12−EMA26) > EMA9(EMA12−EMA26)
fastMA_prev → yesterday/previous‑bar fast MA for slope
TrendUp → fastMA > slowMA
Price Position → compares close to both MAs
MA Distance Label → thresholds on abs(close − fastMA)/ATR
Slope → fastMA − fastMA
Score (0–100) → sum of the five 20‑point checks listed in §2.7
Align tick → conjunction of trend, price vs both MAs, slope and MACD (see §2.9)
Important behaviour
HTF values are sampled at the execution chart’s bar close using Pine v6 defaults (no lookahead). So the daily row updates only when a daily bar actually closes.
5) How to trade with it (playbooks)
The table is a framework. Entries/exits still follow your plan (e.g., S/D zones, price action, risk rules). Use the table to know when to be aggressive vs patient.
Playbook A — Trend continuation (pullback entry)
Look for Align ✔ on your anchor TFs (e.g., Week+Day both ≥80 and green, Trend ↑, MACD 🟢).
On your execution TF (e.g., H1/H4), wait for Stoch heat with the trend (oversold in uptrend or overbought in downtrend), and MA Dist not at XL.
Enter on your trigger (break of pullback high/low, engulfing, retest of fast MA, or S/D first touch per your plan).
Risk: consider ATR‑based SL beyond structure; size so 0.25–0.5% account risk fits your rules.
Trail or scale at M/L distances or when score deteriorates (<60).
Playbook B — Breakout with confirmation
Mixed stack turns into broad green: Trend % jumps to ≥80 on Day and H4; MACD flips 🟢.
Price Pos shows 🔼 across H4/H1 (above both MAs). Slope arrows ↑.
Enter on the first clean base‑break with volume/impulse; avoid if MA Dist already XL.
Playbook C — Mean‑reversion fade (advanced)
Use only when higher TFs are not aligned and the row you trade shows XL distance against the higher‑TF context. Take quick targets back to fast MA. Lower win‑rate, faster management.
Playbook D — Top‑down filter for Supply/Demand strategy
Trade first retests only in the direction where anchor TFs (Week/Day) have Align ✔ and Trend % ≥60. Skip counter‑trend zones when the stack is red/green against you.
6) Reading examples
Strong bullish stack
Week: ↑, 🔼, S/M, slope ↑, %K=32 (green heat), Trend 100%, MACD 🟢, Align ✔
Day: ↑, 🔼, XS/S, slope ↑, %K=45, Trend 80%, MACD 🟢, Align ✔
Action: Look for H4/H1 pullback into demand or fast MA; buy continuation.
Late‑stage thrust
H1: ↑, 🔼, XL, slope ↑, %K=88
Day/H4: only 60–80%
Action: Likely overextended on H1; wait for mean reversion or multi‑TF alignment before chasing.
Bearish transition
Day flips from 60%→40%, Trend ↓, MACD turns 🔴, Price Pos “–” (between MAs)
Action: Stand aside for longs; watch for lower‑high + Align ✔ on H4/H1 to join shorts.
7) Practical tips & pitfalls
HTF closure: Don’t assume a daily row changed mid‑day; it won’t settle until the daily bar closes. For intraday anticipation, watch H4/H1 rows.
MA Type consistency: Changing MA Type changes slope/structure everywhere. If you compare screenshots, keep the same type.
ATR thresholds: Calibrate per asset class. FX may suit defaults; indices/crypto might need wider S/M/L.
Score ≠ signal: 100% does not mean “must buy now.” It means the environment is favourable. Still execute your trigger.
Mixed stacks: When rows disagree, reduce size or skip. The tool is telling you the market lacks consensus.
8) Customisation ideas
Timeframe presets: Save layouts (e.g., Swing, Intraday, Scalper) as indicator templates in TradingView.
Alternative momentum: Replace the MACD condition with RSI(>50/<50) if desired (would require code edit).
Alerts: You can add alert conditions for (a) Align ✔ changes, (b) Trend % crossing 60/80, (c) Stoch heat events. (Not shipped in this script, but easy to add.)
9) FAQ
Q: Why do I sometimes see a dash in Price Pos? A: Price is between fast and slow MAs. Structure is mixed; seek clarity before acting.
Q: Does it repaint? A: No, higher‑TF values update on the close of their own bars (standard request.security behaviour without lookahead). Intra‑bar they can fluctuate; decisions should be made at your bar close per your plan.
Q: Which columns matter most? A: For trend‑following: Trend, Price Pos, Slope, MACD, then Stoch heat for entries. The Score summarises, and Align enforces discipline.
Q: How do I integrate with ATR‑based risk? A: Use the MA Dist label to avoid chasing at extremes and to size stops in ATR terms (e.g., SL behind structure at ~1–1.5 ATR).
Alerts to Google Sheetsa script that will send us alerts from TradingView. For simplicity, I’ve created a basic script that sends long/short signals for each bar, depending on its color. In this example, I construct the JSON manually using string concatenation. This is a straightforward example, but of course, you can create and run much more complex scripts if needed.
Crypto Macro CockpitCrypto Macro Cockpit — Institutional Liquidity Regime Detection
🔍 Overview
This script introduces a modern macro framework for crypto market regime detection, leveraging newly added stablecoin market data on TradingView. It’s designed to guide traders through the evolving institutional era of crypto — where liquidity, not just price, is king.
🌐 Why This Matters
Historically, traditional proxies like M2 money supply or bond yields were referenced to infer macro liquidity shifts. But with the regulatory green light and institutional embrace of stablecoins, on-chain fiat liquidity is now directly observable.
Stablecoins = The new M2 for crypto.
This script utilizes real-time data from:
📊 CRYPTOCAP:STABLE.C (Total Stablecoin Market Cap)
📊 CRYPTOCAP:STABLE.C.D (Stablecoin Dominance)
to assess dry powder, risk appetite, and macro regime transitions.
📋 How to Read the Crypto Macro Cockpit
This dashboard updates every few bars and is organized into four actionable segments:
1️⃣ Macro Spreads
Metric --> Interpretation
Risk Flow --> Measures capital flow between stablecoins and total crypto market cap. → Green = risk deploying.
ETH vs BTC --> Shift in dominance between ETH and BTC → rotation gauge.
ETHBTC --> Price ratio movement → confirms leadership tilt.
ALTs (TOTAL3ES) --> Momentum in altcoin market, excluding BTC/ETH/stables → key for alt season timing.
2️⃣ Liquidity & Risk Appetite
Metric --> Interpretation
Liquidity --> Directional change in stablecoin cap → more stables = more dry powder.
Risk Appetite --> Inverse of stablecoin dominance → falling dominance = capital rotating into risk.
3️⃣ Stablecoin Context
Metric --> Interpretation
StableCap ROC --> Growth rate of stablecoin market cap → proxy for fiat inflows.
StableDom ROC --> Change in stablecoin dominance → reflects market caution or aggression.
4️⃣ Composite Labels
Label --> Interpretation
Rotation --> Sector tilt (BTC-led vs ETH/Alts)
Regime --> Synthesized macro environment → "Risk-ON", "Caution", "Waiting", or "Risk-OFF"
Background Color --> Optional tint reflecting regime for quick glance validation
All metrics are evaluated with directional arrows (▲/▼/•) and acceleration overlays, using user-defined thresholds scaled by timeframe for precision.
🔔 Built-in Alerts
Predefined, non-repainting alerts include:
Regime transitions
Sector rotations
Confirmed ETH/ALT rotations
Stablecoin market cap spikes
Risk Flow acceleration
You can use these alerts for discretionary trading or automated system triggers.
⚠️ Disclaimer
This script is for educational and informational purposes only. It does not constitute financial advice. Trading cryptocurrencies involves risk, and past performance does not guarantee future results. Always do your own research and manage risk responsibly.
✅ Ready to Use
No configuration needed — just load the script
Works on all timeframes (optimized for 1D)
Thresholds and smoothing are customizable
Table positioning and sizing is user-controlled
If you find this helpful, feel free to ⭐️ favorite or leave feedback. Questions welcome in the comments.
Let’s trade with macro awareness in this new era.
VG 1.0This script is an enhanced version of SMC Structures and FVG with an advanced JSON-based alert system designed for seamless integration with webhooks and external applications (such as a Swift iOS app).
What it does
It detects and plots on the chart:
Fair Value Gaps (FVG) — bullish and bearish.
Break of Structure (BOS) and Change of Character (CHOCH).
Key Fibonacci levels (0.786, 0.705, 0.618, 0.5, 0.382) based on the current structure.
Additionally, it generates custom alerts:
FVG Alerts:
When a new FVG is created (bullish or bearish).
When an existing FVG gets mitigated.
BOS & CHOCH Alerts:
Includes breakout direction (bullish or bearish).
Fibonacci Alerts:
When price touches a configured level, with adjustable tick tolerance.
Alerts can be:
Declarative (alertcondition) for manual setup inside TradingView.
Programmatic (alert() JSON) for automated webhook delivery to your system or mobile app.
Key Features
Optional close confirmation to filter out false signals.
Standardized JSON format for direct API or mobile app integration.
Webhook-ready for automated push notifications.
Full visual control with lines, boxes, and labels.
Configurable tick tolerance for Fibonacci “touch” detection.
TSI Indicator with Trailing StopAuthor: ProfitGang
Type: Indicator (visual + alerts). No orders are executed.
What it does
This tool combines the True Strength Index (TSI) with a simple tick-based trailing stop visualizer.
It plots buy/sell markers from a TSI cross with momentum confirmation and, if enabled, draws a trailing stop line that “ratchets” in your favor. It also shows a compact info table (position state, entry price, trailing status, and unrealized ticks).
Signal logic (summary)
TSI is computed with double EMA smoothing (user lengths).
Signals:
Buy when TSI crosses above its signal line and momentum (TSI–Signal histogram) improves, with TSI above your Buy Threshold.
Sell when TSI crosses below its signal line and momentum weakens, with TSI below your Sell Threshold.
Confirmation: Optional “Confirm on bar close” setting evaluates signals on closed bars to reduce repaint risk.
Trailing stop (visual only)
Units are ticks (uses the symbol’s min tick).
Start Trailing After (ticks): activates the trail only once price has moved in your favor by the set amount.
Trailing Stop (ticks): distance from price once active.
For longs: stop = close - trail; it never moves down.
For shorts: stop = close + trail; it never moves up.
Exits shown on chart when the trailing line is touched or an opposite signal occurs.
Note: This is a simulation for visualization and does not place, manage, or guarantee broker orders.
Inputs you can tune
TSI Settings: Long Length, Short Length, Signal Length, Buy/Sell thresholds, Confirm on Close.
Trailing Stop: Start Trailing After (ticks), Trailing Stop (ticks), Show/Hide trailing lines.
Display: Toggle chart signals, info table, and (optionally) TSI plots on the price chart.
Alerts included
TSI Buy / TSI Sell
Long/Short Trailing Activated
Long/Short Trail Exit
Tips for use
Timeframes/markets: Works on any symbol/timeframe that reports a valid min tick. If your market has large ticks, adjust the tick inputs accordingly.
TSI view: By default, TSI lines are hidden to avoid rescaling the price chart. Enable “Show TSI plots on price chart” if you want to see the oscillator inline.
Non-repainting note: With Confirm on bar close enabled, signals are evaluated on closed bars. Intrabar previews can change until the bar closes—this is expected behavior in TradingView.
Limitations
This is an indicator for education/research. It does not execute trades, and visuals may differ from actual broker fills.
Performance varies by market conditions; thresholds and trail settings should be tested by the user.
Disclaimer
Nothing here is financial advice. Markets involve risk, including possible loss of capital. Always do your own research and test on a demo before using any tool in live trading.
— ProfitGang
Mutanabby_AI | Algo Pro Strategy# Mutanabby_AI | Algo Pro Strategy: Advanced Candlestick Pattern Trading System
## Strategy Overview
The Mutanabby_AI Algo Pro Strategy represents a systematic approach to automated trading based on advanced candlestick pattern recognition and multi-layered technical filtering. This strategy transforms traditional engulfing pattern analysis into a comprehensive trading system with sophisticated risk management and flexible position sizing capabilities.
The strategy operates on a long-only basis, entering positions when bullish engulfing patterns meet specific technical criteria and exiting when bearish engulfing patterns indicate potential trend reversals. The system incorporates multiple confirmation layers to enhance signal reliability while providing comprehensive customization options for different trading approaches and risk management preferences.
## Core Algorithm Architecture
The strategy foundation relies on bullish and bearish engulfing candlestick pattern recognition enhanced through technical analysis filtering mechanisms. Entry signals require simultaneous satisfaction of four distinct criteria: confirmed bullish engulfing pattern formation, candle stability analysis indicating decisive price action, RSI momentum confirmation below specified thresholds, and price decline verification over adjustable lookback periods.
The candle stability index measures the ratio between candlestick body size and total range including wicks, ensuring only well-formed patterns with clear directional conviction generate trading signals. This filtering mechanism eliminates indecisive market conditions where pattern reliability diminishes significantly.
RSI integration provides momentum confirmation by requiring oversold conditions before entry signal generation, ensuring alignment between pattern formation and underlying momentum characteristics. The RSI threshold remains fully adjustable to accommodate different market conditions and volatility environments.
Price decline verification examines whether current prices have decreased over a specified period, confirming that bullish engulfing patterns occur after meaningful downward movement rather than during sideways consolidation phases. This requirement enhances the probability of successful reversal pattern completion.
## Advanced Position Management System
The strategy incorporates dual position sizing methodologies to accommodate different account sizes and risk management approaches. Percentage-based position sizing calculates trade quantities as equity percentages, enabling consistent risk exposure across varying account balances and market conditions. This approach proves particularly valuable for systematic trading approaches and portfolio management applications.
Fixed quantity sizing provides precise control over trade sizes independent of account equity fluctuations, offering predictable position management for specific trading strategies or when implementing precise risk allocation models. The system enables seamless switching between sizing methods through simple configuration adjustments.
Position quantity calculations integrate seamlessly with TradingView's strategy testing framework, ensuring accurate backtesting results and realistic performance evaluation across different market conditions and time periods. The implementation maintains consistency between historical testing and live trading applications.
## Comprehensive Risk Management Framework
The strategy features dual stop loss methodologies addressing different risk management philosophies and market analysis approaches. Entry price-based stop losses calculate stop levels as fixed percentages below entry prices, providing predictable risk exposure and consistent risk-reward ratio maintenance across all trades.
The percentage-based stop loss system enables precise risk control by limiting maximum loss per trade to predetermined levels regardless of market volatility or entry timing. This approach proves essential for systematic trading strategies requiring consistent risk parameters and capital preservation during adverse market conditions.
Lowest low-based stop losses identify recent price support levels by analyzing minimum prices over adjustable lookback periods, placing stops below these technical levels with additional buffer percentages. This methodology aligns stop placement with market structure rather than arbitrary percentage calculations, potentially improving stop loss effectiveness during normal market fluctuations.
The lookback period adjustment enables optimization for different timeframes and market characteristics, with shorter periods providing tighter stops for active trading and longer periods offering broader stops suitable for position trading approaches. Buffer percentage additions ensure stops remain below obvious support levels where other market participants might place similar orders.
## Visual Customization and Interface Design
The strategy provides comprehensive visual customization through eight predefined color schemes designed for different chart backgrounds and personal preferences. Color scheme options include Classic bright green and red combinations, Ocean themes featuring blue and orange contrasts, Sunset combinations using gold and crimson, and Neon schemes providing high visibility through bright color selections.
Professional color schemes such as Forest, Royal, and Fire themes offer sophisticated alternatives suitable for business presentations and professional trading environments. The Custom color scheme enables precise color selection through individual color picker controls, maintaining maximum flexibility for specific visual requirements.
Label styling options accommodate different chart analysis preferences through text bubble, triangle, and arrow display formats. Size adjustments range from tiny through huge settings, ensuring appropriate visual scaling across different screen resolutions and chart configurations. Text color customization maintains readability across various chart themes and background selections.
## Signal Quality Enhancement Features
The strategy incorporates signal filtering mechanisms designed to eliminate repetitive signal generation during choppy market conditions. The disable repeating signals option prevents consecutive identical signals until opposing conditions occur, reducing overtrading during consolidation phases and improving overall signal quality.
Signal confirmation requirements ensure all technical criteria align before trade execution, reducing false signal occurrence while maintaining reasonable trading frequency for active strategies. The multi-layered approach balances signal quality against opportunity frequency through adjustable parameter optimization.
Entry and exit visualization provides clear trade identification through customizable labels positioned at relevant price levels. Stop loss visualization displays active risk levels through colored line plots, ensuring complete transparency regarding current risk management parameters during live trading operations.
## Implementation Guidelines and Optimization
The strategy performs effectively across multiple timeframes with optimal results typically occurring on intermediate timeframes ranging from fifteen minutes through four hours. Higher timeframes provide more reliable pattern formation and reduced false signal occurrence, while lower timeframes increase trading frequency at the expense of some signal reliability.
Parameter optimization should focus on RSI threshold adjustments based on market volatility characteristics and candlestick pattern timeframe analysis. Higher RSI thresholds generate fewer but potentially higher quality signals, while lower thresholds increase signal frequency with corresponding reliability considerations.
Stop loss method selection depends on trading style preferences and market analysis philosophy. Entry price-based stops suit systematic approaches requiring consistent risk parameters, while lowest low-based stops align with technical analysis methodologies emphasizing market structure recognition.
## Performance Considerations and Risk Disclosure
The strategy operates exclusively on long positions, making it unsuitable for bear market conditions or extended downtrend periods. Users should consider market environment analysis and broader trend assessment before implementing the strategy during adverse market conditions.
Candlestick pattern reliability varies significantly across different market conditions, with higher reliability typically occurring during trending markets compared to ranging or volatile conditions. Strategy performance may deteriorate during periods of reduced pattern effectiveness or increased market noise.
Risk management through stop loss implementation remains essential for capital preservation during adverse market movements. The strategy does not guarantee profitable outcomes and requires proper position sizing and risk management to prevent significant capital loss during unfavorable trading periods.
## Technical Specifications
The strategy utilizes standard TradingView Pine Script functions ensuring compatibility across all supported instruments and timeframes. Default configuration employs 14-period RSI calculations, adjustable candle stability thresholds, and customizable price decline verification periods optimized for general market conditions.
Initial capital settings default to $10,000 with percentage-based equity allocation, though users can adjust these parameters based on account size and risk tolerance requirements. The strategy maintains detailed trade logs and performance metrics through TradingView's integrated backtesting framework.
Alert integration enables real-time notification of entry and exit signals, stop loss executions, and other significant trading events. The comprehensive alert system supports automated trading applications and manual trade management approaches through detailed signal information provision.
## Conclusion
The Mutanabby_AI Algo Pro Strategy provides a systematic framework for candlestick pattern trading with comprehensive risk management and position sizing flexibility. The strategy's strength lies in its multi-layered confirmation approach and sophisticated customization options, enabling adaptation to various trading styles and market conditions.
Successful implementation requires understanding of candlestick pattern analysis principles and appropriate parameter optimization for specific market characteristics. The strategy serves traders seeking automated execution of proven technical analysis techniques while maintaining comprehensive control over risk management and position sizing methodologies.
Auto Trendlines with Break AlertsIdentify the two most recent significant swing highs and swing lows based on a customizable pivot length.
Draw trendlines extending from these points.
Provide an optional visual signal (a small diamond on the chart) and a alertcondition for sound/push notifications when a trendline is broken.
Configure: Once the indicator is on your chart, you can click on the gear icon (⚙️) next to its name to adjust the settings. You will see a checkbox to enable/disable alerts and a slider to change the pivot length.
Configuring Alerts in TradingView
The alertcondition lines in the code allow you to set up official TradingView alerts for sound and push notifications.
Create an Alert: Click the clock icon (⏰) on the right-side toolbar of your TradingView chart.
Set the Condition: In the "Condition" field, select the name of the indicator: "Auto Trendlines with Break Alerts".
Choose the Alert Type: A second dropdown will appear. Select either "High Trendline Broken" or "Low Trendline Broken" to specify which break you want to be alerted for.
Select Notification Options: In the "Notifications" section, you can check the boxes for "Play sound," "Send email," "Send push notification," etc.
Create the Alert: Click "Create" to save your alert.
ZenAlgo - ADXThis open-source indicator builds upon the official Average Directional Index (ADX) implementation by TradingView. It preserves the core logic of the original ADX while introducing additional visualization features, configurability, and analytical overlays to assist with directional strength analysis.
Core Calculation
The script computes the ADX, +DI, and -DI based on smoothed directional movement and true range over a user-defined length. The smoothing is performed using Wilder’s method, as in the original implementation.
True Range is calculated from the current high, low, and previous close.
Directional Movement components (+DM, -DM) are derived by comparing the change in highs and lows between consecutive bars.
These values are then smoothed, and the +DI and -DI are expressed as percentages of the smoothed True Range.
The difference between +DI and -DI is normalized to derive DX, which is further smoothed to yield the ADX value.
The indicator includes a selectable signal line (SMA or EMA) applied to the ADX for crossover-based visualization.
Visualization Enhancements
Several plots and conditions have been added to improve interpretability:
Color-coded histograms and lines visualize DI relative to a configurable threshold (default: 25). Colors follow the ZenAlgo color scheme.
Dynamic opacity and gradient coloring are used for both ADX and DI components, allowing users to distinguish weak/moderate/strong directional trends visually.
Mirrored ADX is internally calculated for certain overlays but not directly plotted.
The script also provides small circles and diamonds to highlight:
Crossovers between ADX and its signal line.
DI crossing above or below the 25 threshold.
Rising ADX confirmed by rising DI values, with point size reflecting ADX strength.
Divergence Detection
The indicator includes optional detection of fractal-based divergences on the DI curve:
Regular and hidden bullish and bearish divergences are identified based on relative fractal highs/lows in both price and DI.
Detected divergences are optionally labeled with 'R' (Regular) or 'H' (Hidden), and color-coded accordingly.
Fractal points are defined using 5-bar patterns to ensure consistency and reduce false positives.
ADX/DI Table
When enabled, a floating table displays live values and summaries:
ADX value , trend direction (rising/falling), and qualitative strength.
DI composite , trend direction, and relative strength.
Contextual power dynamics , describing whether bulls or bears are gaining or losing strength.
The background colors of the table reflect current trend strength and direction.
Interpretation Guidelines
ADX indicates the strength of a trend, regardless of its direction. Values below 20 are often considered weak, while those above 40 suggest strong trending conditions.
+DI and -DI represent bullish and bearish directional movements, respectively. Crossovers between them are used to infer trend direction.
When ADX is rising and either +DI or -DI is dominant and increasing, the trend is likely strengthening.
Divergences between DI and price may suggest potential reversals but should be interpreted cautiously and not in isolation.
The threshold line (default 25) provides a basic filter for ignoring low-strength conditions. This can be adjusted depending on the market or timeframe.
Added Value over Existing Indicators
Fully color-graded ADX and DI display for better visual clarity.
Optional signal MA over ADX with crossover markers.
Rich contextual labeling for both divergence and threshold events.
Power dynamics commentary and live table help users contextualize current momentum.
Customizable options for smoothing type, divergence display, table position, and visual offsets.
These additions aim to improve situational awareness without altering the fundamental meaning of ADX/DI values.
Limitations and Disclaimers
As with any ADX-based tool, this indicator does not indicate market direction alone —it measures strength, not trend bias.
Divergence detection relies on fractal patterns and may lag or produce false positives in sideways markets.
Signal MA crossovers and DI threshold breaks are not entry signals , but contextual markers that may assist with timing or filtering other systems.
The table text and labels are for visual assistance and do not replace proper technical analysis or market context.
Volume Based Analysis V 1.00
Volume Based Analysis V1.00 – Multi-Scenario Buyer/Seller Power & Volume Pressure Indicator
Description:
1. Overview
The Volume Based Analysis V1.00 indicator is a comprehensive tool for analyzing market dynamics using Buyer Power, Seller Power, and Volume Pressure scenarios. It detects 12 configurable scenarios combining volume-based calculations with price action to highlight potential bullish or bearish conditions.
When used in conjunction with other technical tools such as Ichimoku, Bollinger Bands, and trendline analysis, traders can gain a deeper and more reliable understanding of the market context surrounding each signal.
2. Key Features
12 Configurable Scenarios covering Buyer/Seller Power convergence, divergence, and dominance
Advanced Volume Pressure Analysis detecting when both buy/sell volumes exceed averages
Global Lookback System ensuring consistency across all calculations
Dominance Peak Module for identifying strongest buyer/seller dominance at structural pivots
Real-time Signal Statistics Table showing bullish/bearish counts and volume metrics
Fully customizable inputs (SMA lengths, multipliers, timeframes)
Visual chart markers (S01 to S12) for clear on-chart identification
3. Usage Guide
Enable/Disable Scenarios: Choose which signals to display based on your trading strategy
Fine-tune Parameters: Adjust SMA lengths, multipliers, and lookback periods to fit your market and timeframe
Timeframe Control: Use custom lower timeframes for refined up/down volume calculations
Combine with Other Indicators:
Ichimoku: Confirm volume-based bullish signals with cloud breakouts or trend confirmation
Bollinger Bands: Validate divergence/convergence signals with overbought/oversold zones
Trendlines: Spot high-probability signals at breakout or retest points
Signal Tables & Peaks: Read buy/sell volume dominance at a glance, and activate the Dominance Peak Module to highlight key turning points.
4. Example Scenarios & Suggested Images
Image #1 – S01 Bullish Convergence Above Zero
S01 activated, Buyer Power > 0, both buyer power slope & price slope positive, above-average buy volume. Show S01 ↑ marker below bar.
Image #2 – Combined with Ichimoku
Display a bullish scenario where price breaks above Ichimoku cloud while S01 or S09 bullish signal is active. Highlight both the volume-based marker and Ichimoku cloud breakout.
Image #3 – Combined with Bollinger Bands & Trendlines
Show a bearish S10 signal at the upper Bollinger Band near a descending trendline resistance. Highlight the confluence of the volume pressure signal with the band touch and trendline rejection.
Image #4 – Dominance Peak Module
Pivot low with green ▲ Bull Peak and pivot high with red ▼ Bear Peak, showing strong dominance counts.
Image #5 – Statistics Table in Action
Bottom-left table showing buy/sell volume, averages, and bullish/bearish counts during an active market phase.
5. Feedback & Collaboration
Your feedback and suggestions are welcome — they help improve and refine this system. If you discover interesting use cases or have ideas for new features, please share them in the script’s comments section on TradingView.
6. Disclaimer
This script is for educational purposes only. It is not financial advice. Past performance does not guarantee future results. Always do your own analysis before making trading decisions.
Tip: Use this tool alongside trend confirmation indicators for the most robust signal interpretation.
ATR Squeeze BackgroundThis simple but powerful indicator shades the background of your chart whenever volatility contracts, based on a custom comparison of fast and slow ATR (Average True Range) periods.
By visualizing low-volatility zones, you can:
* Identify moments of compression that may precede explosive price moves
* Stay out of choppy, low-momentum periods
* Adapt this as a component in a broader volatility or breakout strategy
🔧 How It Works
* A Fast ATR (default: 7 periods) and a Slow ATR (default: 40 periods) are calculated
* When the Fast ATR is lower than the Slow ATR, the background is shaded in blue
* This shading signals a contraction in volatility — a condition often seen before breakouts or strong directional moves
⚡️ Why This Matters
Many experienced traders pay close attention to volatility cycles. This background indicator helps visualize those cycles at a glance. It's minimal, non-intrusive, and easy to combine with your existing tools.
🙏 Credits
This script borrows core logic from the excellent “Relative Volume at Time” script by TradingView. Credit is given with appreciation.
⚠️ Disclaimer
This script is for educational purposes only.
It does not constitute financial advice, and past performance is not indicative of future results. Always do your own research and test strategies before making trading decisions.
Advanced Supertrend StrategyA comprehensive Pine Script v5 strategy featuring an enhanced Supertrend indicator with multiple technical filters, risk management, and advanced signal confirmation for automated trading on TradingView.
## Features
- **Enhanced Supertrend**: Configurable ATR-based trend following with improved accuracy
- **RSI Filter**: Optional RSI-based signal filtering to avoid overbought/oversold conditions
- **Moving Average Filter**: Trend confirmation using SMA/EMA/WMA with customizable periods
- **Risk Management**: Built-in stop-loss and take-profit based on ATR multiples
- **Trend Strength Analysis**: Filters weak signals by requiring minimum trend duration
- **Breakout Confirmation**: Optional price breakout validation for stronger signals
- **Visual Interface**: Comprehensive chart plotting with multiple indicator overlays
- **Advanced Alerts**: Multiple alert conditions with detailed signal information
- **Backtesting**: Full strategy backtesting with commission and realistic execution
