Volume Strength Candles / Colored BarsIs Price Action Higher or Lower on STRONG or WEAK VOLUME from lookback
(Strong or Weak Bulls // Strong or Weak Bears)
Candles / Bars Indicate the Following (default 13 period lookback / Length)
MAROON Bear Candle with STRONG VOLUME more than 150% of the lookback / length (13 default), STRONG Bear Candle Confirmed With Volume
RED Bear Candle while VOLUME is BETWEEN 50% & 150% of the Lookback / Length (13 default), Neutral Bear Volume Neither strong or weak
ORANGE Bear Candle with WEAK VOLUME (Less than 50% of the Length / Lookback)
DARK GREEN Bull Candle with STRONG VOLUME MORE than 150% of lookback
GREEN Bull Candle with Neutral VOLUME BETWEEN 50% & 150% of the lookback / Length
AQUA Bull Candle with WEAK VOLUME less than 50% of the Lookback
Is price confirmed by volume?
Can Change the Lookback / Length from 13
Can Change the Colors and Transparency to easily see based off your chart background colors I recommend ZERO Transparency to easily identify volume strength (i use white background but many use black or other)
Search in scripts for "bear"
Bitfinex Bitcoin BullishnessBased on contrary opinion in futures, I've adjusted this to Bitcoin, more thoroughly Bitfinex margin longs & shorts. Those unfamiliar with the concept, contrary opinion illustrates the psychological sentiment in the market by determining the degree of bullishness or bearishness among participants in the market.
The principle holds that when the majority of people agree on anything, they are generally wrong, so following the principle you would analyse and look to take the other side of the trades.
Consider this, once the market is extremely bullish, all bulls have already entered the market to an extent that one can't commit any more funds to the position. Even though Bitfinex margin positions are not like future trading, that every short must have someone taking the long side, one should understand that the majority of people do not make money on the market, so whenever this indicator goes too low or too high, one should look for a trend reversal.
This indicator is in the range of 0 to 1 and the neutral position for a "healthy" market is 0.55ish. Some adjustments should probably be made according to the cryptocurrency markets and I might add this in the future updates, but as of now it's a good indicator for forecasts and to get a bigger picture on a timeframe of 1 DAY or longer charts.
The base of the indicator is simple, amount of longs divided by the sum of shorts and longs.
Also you can see, how only now, 10th of April, we are hitting new lows in the bearishness of the market.
Two Bar Break Line Alerts R1.0 by JustUncleLThis indicator with default settings is designed for BINARY OPTIONS trading. The indicator can also be used for Forex trading with some setting changes. The script shows Two Bar Pullback Break lines and alerts when those Break lines are Touched (broken) creating a short term momentum entry condition.
For a Bullish Break (Green Up Arrow) to occur: first must have two (or three) consecutive bear (red) candles which is followed by a bull (green) candle creating a pivot point. The breakout occurs then the High of the current Bull (green) exceeds the highest point of the previous two (or three) pivotal bear candles. The green channel Line shows where the current Bullish BreakOut occurs.
For a Bearish Break (Red Down Arrow) to occur: first must have two (or three) consecutive bull (green) candles which is followed by a bear (red) candle creating a pivot point. The breakout occurs when the Low of the current Bear (red) drops below the lowest point of the previous two (or three) pivotal Bull candles. The red channel Line shows where the current Bearish BreakOut occurs.
The break Line Arrows can optionally be filtered by the Coloured MA (enabled by default), a longer term directional MA (disabled by default) and/or a MACD condition (enabled by default) as a momentum filter.
You can optionally select three Bar break lines instead of two. The three bar break lines are actually equivalent to Guppy's Three Bar Count Back Line method for trade entries (see Guppy's video reference below).
Included in this indicator is an ability to display some basic Binary Option statistics, when enabled (enabled by default) it shows Successful Bars in Yellow and failed Bars in Black and the last Nine numbers on the script title line represent the Binary option Statistics in order:
%ITM rate
Total orders
Successful Orders
Failed Orders
Total candles tested
Candles per Day
Trades per Day
Max Consecutive Wins
Max Consecutive Losses
You can start the Binary Option statistics from a specific Date, which is handy for checking more recent history.
HINTS:
BINARY OPTIONS trading: use 5min, 15m, 1hr or even Daily charts. Trade after the price touches one of the Breakout lines and the Arrow first appears. Wait for the price to come back from Break Line by 1 or 2 pips, the alert arrow must stay on and candle change to black, then take Binary trade expiry End of Candle. If price pull back and arrow turns off, don't trade this candle, move on you probably don't have momentum, there will be plenty of other trigger events. The backtesting results are good with ITM rates 65% to 72% on many currency pairs, commodities and indices. Realtime trading has confirmed the backtesting results and they could even be bettered, provided you are selective on which signals to trade (strong MACD support etc), that you are patient and disciplined to this trading method.
FOREX trading: the default settings should work with scalping. For longer term trades try with settings change to a more standard MACD filter or slower to catch the longer term momentum swings and the idea would be to trade the first Break Line alert that occurs after a decent Pullback in the direction of the trend. Setting the SL to just above/below the Pivot High/Low and set target to two or three times SL.
References:
"Fundamentals of Price Action Trading for Forex, Stocks, Options and Futures" video:
www.youtube.com
Other videos by "basecamptrading" on Naked Trading.
"Taking Profits in Today's Market by Daryl Guppy" video:
www.youtube.com
NG [Simple Harmonic Oscillator]The SHO is a bounded oscillator for the simple harmonic index that calculates the period of the market’s cycle.
The oscillator is used for short and intermediate terms and moves within a range of -100 to 100 percent.
The SHO has overbought and oversold levels at +40 and -40, respectively.
At extreme periods, the oscillator may reach the levels of +60 and -60.
The zero level demonstrates an equilibrium between the periods of bulls and bears.
The SHO oscillates between +40 and -40.
The crossover at those levels creates buy and sell signals.
In an uptrend, the SHO fluctuates between 0 and +40 where the bulls are controlling the market.
On the contrary, the SHO fluctuates between 0 and -40 during downtrends where the bears controlthe market.
Reaching the extreme level -60 in an uptrend is a sign of weakness.
Force Index with Buy on Dip strategyThis charts has 2 indicators
1 - Force Index
This indicator is based on Dr Alexander Elder ForceIndex indicator with relate price to volume by multiplying net change and volume.
- GREEN Bar indicates Bull is in control
- RED Bar indicates Bear is in control.
LENGTH of the bar indicate the strength of Bull or Bear.
Normally there's potential BUY if the RED bar turned GREEN and SELL if GREEN to RED.
2 - Stochastic momentum
Stochastic momentum is to detect potential Reversal where BLUE bar will appear if :-
- Oversold - Stochastic less than 35
- Closing price is higher than last 2 High (Fast Turtle)
// Note : Best use with "EMA Indicators with BUY sell Signal"
Hersheys Volume Pressure v1Hersheys Volume Pressure gives you very nice confirmation of trend starts and stops using volume and price.
For up bars...
If you have a large price range with low volume, that's very bullish.
If you have a small price range with low volume, that's bullish.
For down bars...
If you have a large price range with low volume, that's very bearish.
If you have a small price range with low volume, that's bearish.
Look at the chart and you'll see how trends start and end with a PINCH and widen in the middle of the moves.
Hersheys Volume Pressure is unique, in that it measures bull/bear pressure on each bar by itself. Other volume indicators like On Balnce Volume and Price Volume Trend use cumulative differences in the current and previous bar to show trends.
You can set the moving average period, 14 is the default.
Good trading!
Brian Hershey
Murrey Math Extremes ComparatorHOW IT WORKS
Creates two murrey math oscillators (hidden) one with 256 length another with 32 length and compare each other.
WHAT GIVE ME THIS SCRIPT
The script can give you very valuable information:
- Main Trend
- Pullbacks detections
- Extreme overbought oversold prices alerts
- Divergences
- Any timeframe usage
REFERENCES OF USAGE
Main Trend Indications
****The main trend is indicated with green(bull) or red(bears) small "triangles" on the bottom(bull) or the top(bears) of the chart.
*****To detect the Bull/Bear major trend the script use 256 murrey, if > 0 (green) we are uptrend in other cases we are downtrend
Pullback detection
****The pullbacks are indicated with Green(bull) or red(bears) medium "Arrows"
*****To detect pullbacks the system compare the long term murrey with the short term murrey, if long term is Green(green triangles)
*****so we are in a main bull trend, if the short term murrey make an extreme low then the pullback is indicated
*****The same for the short pullback, if long term murrey is RED and we have an extreme green short term murrey we shot a red arrow
Extreme Overbught/Oversold
****The extreme OO is indicated with fancy diamonds
*****To detect the Extremes price movements we combine the two murrey, if Long Term Murrey is overbought and short term murrey too
*****Then the diamond show on the screen obove or below based on the extreme if overbought or oversold
Strategy Resume:
Triangles indicate Major Trend Up/Down
Arrows Indicate Continuation pullbacks
Diamonds Indicate Extreme Prices
GUIDE HOW TO IMAGES
How it's works Behind Scene
Indicators: Volume-Weighted MACD Histogram & Sentiment Zone OscVolume-Weighted MACD Histogram
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Volume-Weighted MACD Histogram, first discussed by Buff Dormeier, is a modified version of MACD study. It calculates volume-averaged Close price for finding the histogram.
More info:
www.moneyshow.com
Sentiment Zone Oscillator
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Sentiment Zone Oscillator, developed by Walid Khalil, is a complementing oscillator to VZO and PZO.
To quote Walid:
>> The sentiment zone oscillator (SZO) is a leading contrary oscillator that measures the extreme emotions of a single market or share.
>> It measures and defines both extremes, bullishness (overoptimism) and bearishness (overpessimism), that could lead to a change
>> in sentiment, eventually changing the trend of the time frame under study. The SZO was devised on the belief that after several waves
>> of rising prices, investors begin to get bullish on the stock with increasing confidence since the price has been rising for some time.
>> The SZO measures that bullishness/bearishness and marks overbought/oversold levels.
SZO has its own oversold/overbought bands. Also, when SZO goes above 7, it indicates extreme optimism. When the SZO goes below -7, it indicates extreme pessimism.
More info: www.traders.com
How to import / use custom indicators from this chart?
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PDF: drive.google.com
Elliott Wave Rule EngineWhat this tool does
The indicator scans price for two concurrent swing structures—a Small (shorter-degree) and a Large (higher-degree) set—then applies an Elliott/NeoWave rule engine to the most recent 5-swing motive (1-2-3-4-5) or 3-swing corrective (A-B-C). It produces:
Blue lines for Small swings and Orange lines for Large swings.
A rule dashboard (optional) showing PASS/FAIL/WARN for core rules & guidelines.
Buy/Sell labels when (a) a valid motive completes and (b) loop “consensus,” alignment, and scoring gates are satisfied.
Reading the chart
Small swings: thin blue segments, built from your Small settings.
Large swings: thicker orange segments, from your Large settings.
Background tint: faint green when a motive (impulse/diagonal) is valid right now on Small.
Labels (if enabled):
“1…5” or “A-B-C” markers on the latest detected structure.
Buy/Sell label at the last pivot when all gates pass; text may include a score %.
How it works
For both Small and Large degrees the script:
- Loops over all (left, right) combinations you specify (e.g., Small Left = 3..6, Right = 0..0) and calls ta.pivothigh/low.
- Aggregates the results:
- Keeps the most extreme pivot found in the loop (highest high or lowest low) that’s newer than the last accepted swing.
- Gates acceptance by minimum % change versus the last opposite swing (inside the loop) and a post-aggregation filter (Small Minimum swing %, Large Minimum swing %).
- Merges back-to-back same-type swings (HH or LL) by keeping only the more extreme one.
- Keeps only the last N=lookbackWaves swings (default 100).
- Consensus (used for signals) comes from the loop counts:
- sBuyConsensus = small L-count / total-combos (bullish bias)
- sSellConsensus = small H-count / total-combos (bearish bias)
(and the same for Large). This is a data-driven “how many combos agreed” measure.
2) Rule engine (Impulse/Diagonal vs. Corrective)
When there are at least 6 Small swings, the engine tests 1-2-3-4-5:
Hard rules (must pass for an Impulse):
- Wave-2 not > 100% of Wave-1 (no retrace beyond start of W1).
- Wave-3 not the shortest among 1,3,5.
- Wave-4 doesn’t overlap Wave-1 (if it does, structure may be a Diagonal).
- Diagonal eligibility: Rules 1 & 2 pass but Rule 3 fails ⇒ eligible as a Diagonal (
Guidelines (7 checks, count toward a threshold you set):
- W2 retraces a Fib level (within ±fibTol).
- W4 retraces a Fib level (within ±fibTol).
- W3 strongest momentum (speed = |Δprice| / bars).
- Alternation: W2 vs W4 have meaningfully different “sharpness” (price per bar), threshold altSlopeThr.
- Proportion (Price): |W1| and |W3| within propTolP× each other.
- Proportion (Time): W1W3 and W2W4 durations within propTolT×.
- W5 weaker than W3 (momentum divergence proxy).
A Motive is valid if:
- Impulse: all 3 hard rules pass and guideline passes ≥ Min guideline passes.
- Diagonal: diagonal-eligible and guideline passes ≥ Min guideline passes.
- if motive fails, the engine still evaluates ABC as Zigzag and Flat to populate the table:
- Zigzag: B shallower than ~0.618A; C ≈ A or 1.618A (±fibTol).
- Flat: B ≥ ~0.9A; expanded flat if B > 1.0A and C in *A; “running” note if C < A.
3) Signal logic (consensus-gated & scored)
Signals fire only on new Small pivots and only if a Small motive just validated:Direction comes from the motive’s W1 (up = bull, down = bear).
Consensus checks (from the loop):
Use Sell consensus if the last pivot is a High, or Buy consensus if it’s a Low.Require it ≥ Min SMALL loop consensus and ahead of the opposite side by at least Min consensus margin.If you also require Large quality: check the corresponding Large consensus ≥ Min LARGE loop consensus.
Alignment: If Require small/large directional alignment is ON, Small and Large directions must match (or the Large motive must be complete).
Score:
- If Large not required: finalScore = smallConsensus × smallQuality.
- If Large required: finalScore = smallConsensus × smallQuality × largeQuality.
- Need finalScore ≥ Min final score.
When all gates pass, you’ll see “Buy xx%” or “Sell xx%” at the pivot.
Inputs (explained):
- Smaller Wave Swing Detection (Looped)
- Small Left Min / Max (default 3..6): ta.pivot* left widths to scan.
- Small Right Min / Max (default 0..0): right widths to scan (0 = earliest confirmation).
- Small Minimum swing % (post-aggregation) (0.3%): filters out tiny swings after the loop.
- Larger Wave Swing Detection (Looped)
- Large Left Min / Max (100..200) and Right Min/Max (0..0): higher-degree scan (defaults are big; adjust for intraday).
- Large Minimum swing % (post-aggregation) (1.5%).
- Loop Filters (inside the loop)
- Small loop min % change (0.20%): a candidate pivot counts only if move vs. last opposite Small swing ≥ this.
- Large loop min % change (1.50%): same idea for Large.
Rule Engine Tolerances
- Fibonacci tolerance (±%) (0.05 = 5%): closeness to Fib levels.
-Same-degree TIME proportion max (x) (2.00×) and PRICE proportion max (x) (3.00×).
- Alternation slope ratio threshold (0.10): higher = stricter alternation.
- Min guideline passes (0–7) (5): threshold for motive validity.
- Signal Probability (Loop Consensus)
- Min SMALL loop consensus (0.60).
- Min LARGE loop consensus (0.50) (used only if Large validation matters).
- Min consensus margin vs opposite (0.10): e.g., 0.60 vs 0.45 fails (margin 0.15 passes).
Require LARGE 1–5 valid (or diagonal) for signal (off by default).
Min final score (0.20): gate on the composite score.
Annotate label with score % (on).
WARN (orange): guideline not met—pattern can still be valid if total passes ≥ Min guideline passes.
FAQ
Q: Why did I get a diagonal instead of an impulse?
A: Wave-4 overlapped Wave-1 (Rule 3). If Rules 1 & 2 pass and guidelines meet your minimum, it’s eligible as a Diagonal.
Q: Where do Buy/Sell labels come from?
A: Only after a valid Small motive at a new pivot, and only if consensus, alignment, and final score gates pass (per your settings).
Q: It “missed” a wave in hindsight.
A: Pivots require right bars to confirm; extremely tight settings can filter that swing; adjust Small min % or ranges.
Q: Are there repaints?
A: No, It uses standard pivot confirmation; until a pivot is confirmed, recent swings can evolve. After confirmation, lines/labels are stable.
Limitations & disclaimers
Elliott/NeoWave rules are heuristics; markets are messy. Treat outputs as structured context, not certainty.
Consensus is pattern-scan agreement, not probability of profit Not investment advice; always couple with risk management.
Trend Bars with Okuninushi Line Filter# Trend Bars with Okuninushi Line Filter: A Powerful Trading Indicator
##TrendSpider Hackathon 2025 Trend Bars with Okuninushi Filter
trendspider.com
##X
x.com
## Introduction
The **Trend Bars with Okuninushi Line Filter** is an innovative technical indicator that combines two powerful concepts: trend bar analysis and the Okuninushi Line filter. This indicator helps traders identify high-quality trending moves by analyzing candle body strength relative to the overall price range while ensuring the price action aligns with the dominant market structure.
## What Are Trend Bars?
Trend bars are candles where the body (distance between open and close) represents a significant portion of the total price range (high to low). These bars indicate strong directional momentum with minimal indecision, making them valuable signals for trend continuation.
### Key Characteristics:
- **Strong directional movement**: Large body relative to total range
- **Minimal upper/lower shadows**: Shows sustained pressure in one direction
- **High conviction**: Represents decisive market action
## The Okuninushi Line Filter
The Okuninushi Line, also known as the Kijun Line in Ichimoku analysis, is calculated as the midpoint of the highest high and lowest low over a specified period (default: 52 periods).
**Formula**: `(Highest High + Lowest Low) / 2`
This line acts as a dynamic support/resistance level and trend filter, helping to:
- Identify the overall market bias
- Filter out counter-trend signals
- Provide confluence for trade entries
## How the Indicator Works
The indicator combines these two concepts with the following logic:
### Bull Trend Bars (Green)
A candle is colored **green** when ALL conditions are met:
1. **Bullish candle**: Close > Open
2. **Strong body**: |Close - Open| ≥ Threshold × (High - Low)
3. **Above trend filter**: Close > Okuninushi Line
### Bear Trend Bars (Red)
A candle is colored **red** when ALL conditions are met:
1. **Bearish candle**: Close < Open
2. **Strong body**: |Close - Open| ≥ Threshold × (High - Low)
3. **Below trend filter**: Close < Okuninushi Line
### Neutral Bars (Gray)
All other candles that don't meet the complete criteria are colored **gray**.
## Customizable Parameters
### Trend Bar Threshold
- **Range**: 10% to 100%
- **Default**: 75%
- **Purpose**: Controls how "strong" a candle must be to qualify as a trend bar
**Threshold Effects:**
- **Low (10-30%)**: More sensitive, catches smaller trending moves
- **Medium (50-75%)**: Balanced approach, filters out most noise
- **High (80-100%)**: Very selective, only captures the strongest moves
### Okuninushi Line Length
- **Default**: 52 periods
- **Purpose**: Determines the lookback period for calculating the midpoint
- **Common Settings**:
- for 15m is 92, per 1 day as 23h*4(15m in 1h)
- for 1h is 115, per 1 week as 5d*23(23h in 1d)
- for 4h is 120, per 1 month as 20d*6
- for 1d is 65, per 3 months
- for 1w is 52, per 1 year
## Trading Applications
### 1. Trend Continuation Signals
- **Green bars**: Look for bullish continuation opportunities
- **Red bars**: Consider bearish continuation setups
- **Gray bars**: Exercise caution, mixed signals
### 2. Market Structure Analysis
- Clusters of same-colored bars indicate strong trends
- Alternating colors suggest choppy, indecisive markets
- Transition from red to green (or vice versa) may signal trend changes
### 3. Entry Timing
- Use colored bars as confirmation for existing trade setups
- Wait for color alignment with your market bias
- Avoid trading during predominantly gray periods
### 4. Risk Management
- Gray bars can serve as early warning signs of weakening trends
- Color changes might indicate appropriate exit points
- Use in conjunction with other risk management tools
## Advantages
1. **Dual Filtering**: Combines momentum (trend bars) with trend direction (Okuninushi Line)
2. **Visual Clarity**: Immediate visual feedback through candle coloring
3. **Customizable**: Adjustable parameters for different trading styles
4. **Versatile**: Works across multiple timeframes and instruments
5. **Objective**: Rule-based system reduces subjective interpretation
## Limitations
1. **Lagging Nature**: Based on historical price data
2. **False Signals**: Can produce whipsaws in choppy markets
3. **Parameter Sensitivity**: Requires optimization for different instruments
4. **Market Conditions**: May be less effective in ranging markets
## Best Practices
### Optimization Tips:
- **Volatile Markets**: Use higher thresholds (80-90%)
- **Steady Trends**: Use moderate thresholds (60-75%)
- **Short-term Trading**: Shorter Okuninushi Line periods (26)
- **Long-term Analysis**: Longer Okuninushi Line periods (104+)
### Combination Strategies:
- Pair with volume indicators for confirmation
- Use alongside support/resistance levels
- Combine with other trend-following indicators
- Consider market context and overall trend direction
## Conclusion
The Trend Bars with Okuninushi Line Filter offers traders a sophisticated yet intuitive way to identify high-quality trending moves. By combining the momentum characteristics of trend bars with the directional filter of the Okuninushi Line, this indicator helps traders focus on the most promising opportunities while avoiding low-probability setups.
Remember that no single indicator should be used in isolation. Always consider market context, risk management, and other technical factors when making trading decisions. The true power of this indicator lies in its ability to quickly highlight periods of strong, aligned price action – exactly what trend traders are looking for.
Signal Strength AnalysisTraining Guide — Signal Strength Analysis
1. What this tool is
This is an all-in-one analysis dashboard that:
• Tracks market structure (order blocks, trendlines, support/resistance).
• Reads technical indicators (RSI, MACD, Bollinger Bands).
• Measures volume, volatility, momentum, and price positioning.
• Confirms buy/sell signals with multiple filters.
• Keeps performance records (win rate, PnL, signal strength).
• Presents everything in a visual table for quick decision support.
👉 It is a learning and training tool — not a broker strategy. It helps learners practice multi-factor analysis in a structured way.
________________________________________
2. Step-by-step workflow for learners
Step 1 – Market Overview
The dashboard starts with:
• Last Price → current market close.
• Daily Change % → price vs. yesterday.
• Volume Ratio → compares today’s volume to the average.
💡 Learners can check if the market is calm, trending, or under unusual activity.
________________________________________
Step 2 – Technical Indicators
• RSI (Relative Strength Index)
o 70 = Overbought, <30 = Oversold.
o A progress bar shows strength visually.
• MACD (Moving Average Convergence Divergence)
o “Bull” if histogram > 0, “Bear” if < 0.
o Helps track momentum shifts.
• Bollinger Band Position
o Where price sits between upper & lower bands.
o 80% = Overbought zone, <20% = Oversold zone.
💡 Learners use this to spot overextended moves and potential reversals.
________________________________________
Step 3 – Order Block Analysis
• Buy OB Level / Sell OB Level
o Price zones where buyers or sellers concentrated.
• OB Status
o 🟢 Buy Active → bullish setup.
o 🔴 Sell Active → bearish setup.
o ⚪ Waiting → no clear signal.
💡 Helps students understand how institutions leave “footprints” in price zones.
________________________________________
Step 4 – Volume Analysis
• Bull Volume vs. Bear Volume
o Cumulative measurement of buy vs. sell pressure.
o Progress bars show balance.
• Volume Spike
o “🔥 High” when today’s volume is unusually strong.
💡 Shows when participation supports a move (important for validation).
________________________________________
Step 5 – Signal Strength
• A score out of 100% based on:
1. RSI extremes (overbought/oversold).
2. Volume spike confirmation.
3. MACD trend confirmation.
4. Overall EMA trend alignment.
• Win Rate → % of successful signals tracked.
• Total PnL → running performance.
💡 Learners can practice weighing multiple signals instead of relying on one indicator.
________________________________________
Step 6 – Market Conditions & Risk
• Trend Check → bullish, bearish, or neutral from EMAs.
• ATR Filter → rejects signals if volatility is too low.
• Risk Management Alerts → marks TP/SL hits for both long and short trades.
💡 This trains learners to always tie signals to risk/reward management.
________________________________________
3. How it helps learners
• Structured Thinking: Instead of chasing random indicators, they get a full framework.
• Practical Filters: Combines momentum, volume, and volatility so signals are stronger.
• Visual Reinforcement: Table sections show conditions in color-coded, easy-to-read cells.
• Performance Tracking: Builds discipline by recording wins/losses, not just entries.
• Risk Awareness: Alerts teach that managing exits is as important as finding entries.
________________________________________
4. Deep dive into dashboard sections
Section What It Teaches How Learners Use It
🔍 Market Overview Price, change %, volume context Judge if market is trending or consolidating
📈 Technical Analysis RSI, MACD, BB position Identify overbought/oversold, momentum shifts
🎯 Order Block Analysis Institutional levels Practice spotting zones where smart money acts
📊 Volume Analysis Buyer vs seller activity Confirm if move is real or weak
⚡ Signal Strength Composite score + Win Rate Learn weighting multiple signals together
🎲 Market Conditions & Risk Trend + volatility + alerts Build habit of risk-managed decisions
________________________________________
5. Suggested classroom exercises
1. Trend vs. Countertrend Study
o When OB says “Buy” but RSI shows overbought, what happens?
o Learners compare outcomes.
2. Volume Confirmation
o Log trades with & without volume spikes.
o Discuss why volume validation matters.
3. Signal Strength Calibration
o Watch how strength % changes when multiple indicators align.
o Practice “confidence ranking” before entries.
4. Risk Discipline Drill
o Focus only on TP/SL hits.
o Learners note whether following system exits improved results.
________________________________________
6. Key takeaways for learners
• No single indicator works alone — this tool forces multi-factor thinking.
• Volume and volatility filters prevent false signals.
• Performance tracking builds accountability.
• Color-coded dashboards simplify complex information.
• Alerts + risk management remind that exit discipline is vital.
________________________________________
⚠️ Important disclaimer:
This script is an educational tool only. It demonstrates how traders can combine multiple analyses into one framework. It should not be used as financial advice or a live trading strategy without testing, risk controls, and professional guidance.
________________________________________
FibADX MTF Dashboard — DMI/ADX with Fibonacci DominanceFibADX MTF Dashboard — DMI/ADX with Fibonacci Dominance (φ)
This indicator fuses classic DMI/ADX with the Fibonacci Golden Ratio to score directional dominance and trend tradability across multiple timeframes in one clean panel.
What’s unique
• Fibonacci dominance tiers:
• BULL / BEAR → one side slightly stronger
• STRONG when one DI ≥ 1.618× the other (φ)
• EXTREME when one DI ≥ 2.618× (φ²)
• Rounded dominance % in the +DI/−DI columns (e.g., STRONG BULL 72%).
• ADX column modes: show the value (with strength bar ▂▃▅… and slope ↗/↘) or a tier (Weak / Tradable / Strong / Extreme).
• Configurable intraday row (30m/1H/2H/4H) + D/W/M toggles.
• Threshold line: color & width; Extended (infinite both ways) or Not extended (historical plot).
• Theme presets (Dark / Light / High Contrast) or full custom colors.
• Optional panel shading when all selected TFs are strong (and optionally directionally aligned).
How to use
1. Choose an intraday TF (30/60/120/240). Enable D/W/M as needed.
2. Use ADX ≥ threshold (e.g., 21 / 34 / 55) to find tradable trends.
3. Read the +DI/−DI labels to confirm bias (BULL/BEAR) and conviction (STRONG/EXTREME).
4. Prefer multi-TF alignment (e.g., 4H & D & W all strong bull).
5. Treat EXTREME as a momentum regime—trail tighter and scale out into spikes.
Alerts
• All selected TFs: Strong BULL alignment
• All selected TFs: Strong BEAR alignment
Notes
• Smoothing selectable: RMA (Wilder) / EMA / SMA.
• Percentages are whole numbers (72%, not 72.18%).
• Shorttitle is FibADX to comply with TV’s 10-char limit.
Why We Use Fibonacci in FibADX
Traditional DMI/ADX indicators rely on fixed numeric thresholds (e.g., ADX > 20 = “tradable”), but they ignore the relationship between +DI and −DI, which is what really determines trend conviction.
FibADX improves on this by introducing the Fibonacci Golden Ratio (φ ≈ 1.618) to measure directional dominance and classify trend strength more intelligently.
⸻
1. Fibonacci as a Natural Strength Threshold
The golden ratio φ appears everywhere in nature, growth cycles, and fractals.
Since financial markets also behave fractally, Fibonacci levels reflect natural crowd behavior and trend acceleration points.
In FibADX:
• When one DI is slightly larger than the other → BULL or BEAR (mild advantage).
• When one DI is at least 1.618× the other → STRONG BULL or STRONG BEAR (trend conviction).
• When one DI is 2.618× or more → EXTREME BULL or EXTREME BEAR (high momentum regime).
This approach adds structure and consistency to trend classification.
⸻
2. Why 1.618 and 2.618 Instead of Random Numbers
Other traders might pick thresholds like 1.5 or 2.0, but φ has special mathematical properties:
• φ is the most irrational ratio, meaning proportions based on φ retain structure even when scaled.
• Using φ makes FibADX naturally adaptive to all timeframes and asset classes — stocks, crypto, forex, commodities.
⸻
3 . Trading Advantages
Using the Fibonacci Golden Ratio inside DMI/ADX has several benefits:
• Better trend filtering → Avoid false DI crossovers without conviction.
• Catch early momentum shifts → Spot when dominance ratios approach φ before ADX reacts.
• Consistency across markets → Because φ is scalable and fractal, it works everywhere.
⸻
4. How FibADX Uses This
FibADX combines:
• +DI vs −DI ratio → Measures directional dominance.
• φ thresholds (1.618, 2.618) → Classifies strength into BULL, STRONG, EXTREME.
• ADX threshold → Confirms whether the move is tradable or just noise.
• Multi-timeframe dashboard → Aligns bias across 4H, D, W, M.
⸻
Quick Blurb for TradingView
FibADX uses the Fibonacci Golden Ratio (φ ≈ 1.618) to classify trend strength.
Unlike classic DMI/ADX, FibADX measures how much one side dominates:
• φ (1.618) = STRONG trend conviction
• φ² (2.618) = EXTREME momentum regime
This creates an adaptive, fractal-aware framework that works across stocks, crypto, forex, and commodities.
⚠️ Disclaimer : This script is provided for educational purposes only.
It does not constitute financial advice.
Use at your own risk. Always do your own research before making trading decisions.
Created by @nomadhedge
VX_ToolsLibrary "VX_Tools"
calcSpread(frontClose, nextClose)
Parameters:
frontClose (float)
nextClose (float)
bearishReversal(o, h, l, c, minUpperWickMult, maxLowerWickMult, wickFlexFactor, smallBodyThreshold, requireSmallBody, trendBars)
Parameters:
o (float)
h (float)
l (float)
c (float)
minUpperWickMult (float)
maxLowerWickMult (float)
wickFlexFactor (float)
smallBodyThreshold (float)
requireSmallBody (bool)
trendBars (int)
Trade Life Balance Multi EMAThe Trade Life Balance EMA Indicator is a versatile and essential tool for technical analysts and traders. It combines five of the most commonly used Exponential Moving Averages (EMAs) into a single indicator, and additionally offers two optional EMAs for advanced analysis. This indicator helps to quickly identify trend direction, dynamic support and resistance levels, and potential entry and exit points.
Important Note:
Moving averages are lagging indicators, meaning they are based on past price data and do not predict future price movements. For a comprehensive market analysis, it is highly recommended to use the TLB EMA indicator in combination with other analytical tools such as volume, price action, and oscillators.
How the TLB EMA Indicator Works
The indicator plots multiple Exponential Moving Averages directly on the price chart. An EMA is a type of moving average that gives more weight and significance to the most recent price data, making it more responsive to price changes than a Simple Moving Average (SMA).
Default Configuration:
The indicator comes pre-configured with five core EMAs that play a crucial role in many trading strategies:
EMA 13 & 20: Often used as short-term trend indicators. Their slope and the distance to the price can indicate the strength of the current momentum.
EMA 50: Considered an important mid-term trend indicator. A price holding above the 50 EMA often suggests a healthy uptrend.
EMA 100: Serves as a mid- to long-term trend filter.
EMA 200: Widely regarded as the decisive line between a long-term bull and bear market.
The color scheme, ranging from light red (fastest EMA) to dark red (slowest EMA), facilitates quick visual identification.
Customization Options
The TLB EMA indicator is fully customizable to suit individual trading strategies and preferences:
EMA Lengths: All five standard EMAs, as well as the two optional ones, can be set to any desired length in the "Inputs" settings.
Optional EMAs: Two additional EMAs are disabled by default. They can be activated via a checkbox to supplement the analysis with other user-defined periods (e.g., for Fibonacci numbers or specific strategies).
Visual Style: In the "Style" tab of the indicator settings, the color, thickness, and visibility of each individual EMA line can be adjusted as desired.
Advantages of the TLB EMA Indicator
All-in-One Solution: Consolidates the most important EMAs into a single indicator, keeping the chart view clean and eliminating the need to add multiple individual indicators.
High Flexibility: With fully customizable lengths and two optional EMAs, the indicator can be configured for any strategy and any market (stocks, forex, crypto, etc.).
Visual Clarity: The pre-configured color coding allows for an intuitive and quick interpretation of the different trend speeds.
Efficiency: Saves time in chart setup and analysis.
Using the TLB EMA Indicator
The TLB EMA can be used in various ways in trading:
Trend Identification: The simplest application is to determine the overall trend. If the price is above the EMAs (especially the 200), it indicates an uptrend. If it is below, the trend is downward.
Dynamic Support and Resistance: In an uptrend, the EMAs often act as dynamic support zones where the price can bounce. In a downtrend, they serve as dynamic resistance zones.
Crossover Signals: The crossing of EMAs can generate trading signals. A "Golden Cross" (e.g., the 50 EMA crosses above the 200 EMA) is considered a bullish signal, while a "Death Cross" (50 EMA crosses below the 200 EMA) is considered a bearish signal.
Please note that the TLB EMA indicator is a tool for analysis and does not guarantee profitable trades. Always use it in conjunction with a solid risk management strategy.
Intrabar Volume Delta — RealTime + History (Stocks/Crypto/Forex)Intrabar Volume Delta Grid — RealTime + History (Stocks/Crypto/Forex)
# Short Description
Shows intrabar Up/Down volume, Delta (absolute/relative) and UpShare% in a compact grid for both real-time and historical bars. Includes an MTF (M1…D1) dashboard, contextual coloring, density controls, and alerts on Δ and UpShare%. Smart historical splitting (“History Mode”) for Crypto/Futures/FX.
---
# What it does (Quick)
* **UpVol / DownVol / Δ / UpShare%** — visualizes order-flow inside each candle.
* **Real-time** — accumulates intrabar volume live by tick-direction.
* **History Mode** — splits Up/Down on closed bars via simple or range-aware logic.
* **MTF Dashboard** — one table view across M1, M5, M15, M30, H1, H4, D1 (Vol, Up/Down, Δ%, Share, Trend).
* **Contextual opacity** — stronger signals appear bolder.
* **Label density** — draw every N-th bar and limit to last X bars for performance.
* **Alerts** — thresholds for |Δ|, Δ%, and UpShare%.
---
# How it works (Real-Time vs History)
* **Real-time (open bar):** volume increments into **UpVolRT** or **DownVolRT** depending on last price move (↑ goes to Up, ↓ to Down). This approximates live order-flow even when full tick history isn’t available.
* **History (closed bars):**
* **None** — no split (Up/Down = 0/0). Safest for equities/indices with unreliable tick history.
* **Approx (Close vs Open)** — all volume goes to candle direction (green → Up 100%, red → Down 100%). Fast but yields many 0/100% bars.
* **Price Action Based** — splits by Close position within High-Low range; strength = |Close−mid|/(High−Low). Above mid → more Up; below mid → more Down. Falls back to direction if High==Low.
* **Auto** — **Stocks/Index → None**, **Crypto/Futures/FX → Approx**. If you see too many 0/100 bars, switch to **Price Action Based**.
---
# Rows & Meaning
* **Volume** — total bar volume (no split).
* **UpVol / DownVol** — directional intrabar volume.
* **Delta (Δ)** — UpVol − DownVol.
* **Absolute**: raw units
* **Relative (Δ%)**: Δ / (Up+Down) × 100
* **Both**: shows both formats
* **UpShare%** — UpVol / (Up+Down) × 100. >50% bullish, <50% bearish.
* Helpful icons: ▲ (>65%), ▼ (<35%).
---
# MTF Dashboard (🔧 Enable Dashboard)
A single table with **Vol, Up, Down, Δ%, Share, Trend (🔼/🔽/⏭️)** for selected timeframes (M1…D1). Great for a fast “panorama” read of flow alignment across horizons.
---
# Inputs (Grouped)
## Display
* Toggle rows: **Volume / Up / Down / Delta / UpShare**
* **Delta Display**: Absolute / Relative / Both
## Realtime & History
* **History Mode**: Auto / None / Approx / Price Action Based
* **Compact Numbers**: 1.2k, 1.25M, 3.4B…
## Theme & UI
* **Theme Mode**: Auto / Light / Dark
* **Row Spacing**: vertical spacing between rows
* **Top Row Y**: moves the whole grid vertically
* **Draw Guide Lines**: faint dotted guides
* **Text Size**: Tiny / Small / Normal / Large
## 🔧 Dashboard Settings
* **Enable Dashboard**
* **📏 Table Text Size**: Tiny…Huge
* **🦓 Zebra Rows**
* **🔲 Table Border**
## ⏰ Timeframes (for Dashboard)
* **M1…D1** toggles
## Contextual Coloring
* **Enable Contextual Coloring**: opacity by signal strength
* **Δ% cap / Share offset cap**: saturation caps
* **Min/Max transparency**: solid vs faint extremes
## Label Density & Size
* **Show every N-th bar**: draw labels only every Nth bar
* **Limit to last X bars**: keep labels only in the most recent X bars
## Colors
* Up / Down / Text / Guide
## Alerts
* **Delta Threshold (abs)** — |Δ| in volume units
* **UpShare > / <** — bullish/bearish thresholds
* **Enable Δ% Alert**, **Δ% > +**, **Δ% < −** — relative delta levels
---
# How to use (Quick Start)
1. Add the indicator to your chart (overlay=false → separate pane).
2. **History Mode**:
* Crypto/Futures/FX → keep **Auto** or switch to **Price Action Based** for richer history.
* Stocks/Index → prefer **None** or **Price Action Based** for safer splits.
3. **Label Density**: start with **Limit to last X bars = 30–150** and **Show every N-th bar = 2–4**.
4. **Contextual Coloring**: keep on to emphasize strong Δ% / Share moves.
5. **Dashboard**: enable and pick only the TFs you actually use.
6. **Alerts**: set thresholds (ideas below).
---
# Alerts (in TradingView)
Add alert → pick this indicator → choose any of:
* **Delta exceeds threshold** (|Δ| > X)
* **UpShare above threshold** (UpShare% > X)
* **UpShare below threshold** (UpShare% < X)
* **Relative Delta above +X%**
* **Relative Delta below −X%**
**Starter thresholds (tune per symbol & TF):**
* **Crypto M1/M5**: Δ% > +25…35 (bullish), Δ% < −25…−35 (bearish)
* **FX (tick volume)**: UpShare > 60–65% or < 40–35%
* **Stocks (liquid)**: set **Absolute Δ** by typical volume scale (e.g., 50k / 100k / 500k)
---
# Notes by Market Type
* **Crypto/Futures**: 24/7 and high liquidity — **Price Action Based** often gives nicer history splits than Approx.
* **Forex (FX)**: TradingView volume is typically **tick volume** (not true exchange volume). Treat Δ/Share as tick-based flow, still very useful intraday.
* **Stocks/Index**: historical tick detail can be limited. **None** or **Price Action Based** is a safer default. If you see too many 0/100% shares, switch away from Approx.
---
# “All Timeframes” accuracy
* Works on **any TF** (M1 → D1/W1).
* **Real-time accuracy** is strong for the open bar (live accumulation).
* **Historical accuracy** depends on your **History Mode** (None = safest, Approx = fastest/simplest, Price Action Based = more nuanced).
* The MTF dashboard uses `request.security` and therefore follows the same logic per TF.
---
# Trade Ideas (Use-Cases)
* **Scalping (M1–M5)**: a spike in Δ% + UpShare>65% + rising total Vol → momentum entries.
* **Intraday (M5–M30–H1)**: when multiple TFs show aligned Δ%/Share (e.g., M5 & M15 bullish), join the trend.
* **Swing (H4–D1)**: persistent Δ% > 0 and UpShare > 55–60% → structural accumulation bias.
---
# Advantages
* **True-feeling live flow** on the open bar.
* **Adaptable history** (three modes) to match data quality.
* **Clean visual layout** with guides, compact numbers, contextual opacity.
* **MTF snapshot** for quick bias read.
* **Performance controls** (last X bars, every N-th bar).
---
# Limitations & Care
* **FX uses tick volume** — interpret Δ/Share accordingly.
* **History Mode is an approximation** — confirm with trend/structure/liquidity context.
* **Illiquid symbols** can produce noisy or contradictory signals.
* **Too many labels** can slow charts → raise N, lower X, or disable guides.
---
# Best Practices (Checklist)
* Crypto/Futures: prefer **Price Action Based** for history.
* Stocks: **None** or **Price Action Based**; be cautious with **Approx**.
* FX: pair Δ% & UpShare% with session context (London/NY) and volatility.
* If labels overlap: tweak **Row Spacing** and **Text Size**.
* In the dashboard, keep only the TFs you actually act on.
* Alerts: start around **Δ% 25–35** for “punchy” moves, then refine per asset.
---
# FAQ
**1) Why do some closed bars show 0%/100% UpShare?**
You’re on **Approx** history mode. Switch to **Price Action Based** for smoother splits.
**2) Δ% looks strong but price doesn’t move — why?**
Δ% is an **order-flow** measure. Price also depends on liquidity pockets, sessions, news, higher-timeframe structure. Use confirmations.
**3) Performance slowdown — what to do?**
Lower **Limit to last X bars** (e.g., 30–100), increase **Show every N-th bar** (2–6), or disable **Draw Guide Lines**.
**4) Dashboard values don’t “match” the grid exactly?**
Dashboard is multi-TF via `request.security` and follows the history logic per TF. Differences are normal.
---
# Short “Store” Marketing Blurb
Intrabar Volume Delta Grid reveals the order-flow inside every candle (Up/Down, Δ, UpShare%) — live and on history. With smart history splitting, an MTF dashboard, contextual emphasis, and flexible alerts, it helps you spot momentum and bias across Crypto, Forex (tick volume), and Stocks. Tidy labels and compact numbers keep the panel readable and fast.
Strategy Bias Dashboard📘 Strategy Bias Dashboard (Bullish, Bearish, Sideways)
Overview
This script provides a Bias Dashboard that helps traders quickly evaluate whether the current market condition is Bullish, Bearish, Sideways, or All.
The dashboard is displayed in a styled table with configurable filters, showing market trend, strength, and volatility in a clean format.
It’s designed for NIFTY, BANKNIFTY, and other liquid instruments, and can be applied on any timeframe, while calculations are based on Daily ATR for consistency.
✨ Features
🔎 Bias Selection Filter → Choose to view only Bullish, Bearish, Sideways, or All conditions.
📊 Dynamic Table → Automatically redraws whenever bias is changed, avoiding empty rows or holes.
🎨 Readable Table Layout → Compact fonts, bold headers, and color-coded cells for clarity.
📈 Trend & Strength Calculation → Uses ADX, RSI, and moving averages to classify trend quality.
⚡ ATR% Volatility → Normalized ATR as % of price, giving a volatility snapshot.
🧩 Strategy Suggestions → Displays best-suited F&O strategies (Credit Spread, Strangle, Iron Condor, Iron Butterfly) depending on bias.
🔔 Real-Time Updates → Table updates dynamically with live data from the chart.
📐 How It Works
Trend Detection
EMA crossovers and RSI bias identify bullish vs. bearish conditions.
Weak trend + low ADX = Sideways bias.
Strength Measurement
ADX is used to classify weak, moderate, and strong trends.
RSI confirms direction and momentum.
ATR % Volatility
Daily ATR normalized by price helps identify whether credit spreads or wider strangles are suitable.
Dashboard Rendering
A top-right aligned table shows the filtered rows.
Redraw occurs when bias is changed, keeping the table compact.
⚙️ User Inputs
Bias Filter → Select All, Bullish, Bearish, Sideways.
Timeframe → Default is current chart timeframe.
Volume Confirmation → Optional filter to check volume spikes.
Table Position → Fixed to top-right for visibility.
📊 Example Output
Bias Trend Strength ATR% Best Strategy
Bullish Uptrend Strong 1.2% Bull Put Spread
Bearish Downtrend Moderate 1.4% Bear Call Spread
Sideways Neutral Weak 0.6% Iron Condor
✅ Best Use Cases
Intraday & Swing traders who want quick bias confirmation.
Options traders selecting credit strategies based on volatility and bias.
Portfolio managers tracking broader market bias on indices.
⚠️ Disclaimer
This script is provided for educational purposes only.
It does not constitute financial advice and should not be used as the sole basis for investment decisions.
Trading involves risk, and you are solely responsible for your own trades.
SMA MAD SuperTrend | OquantThe SMA MAD SuperTrend | Oquant is an trend-following indicator designed to help traders identify potential trend directions and reversals using a unique combination of a Simple Moving Average (SMA), Mean Absolute Deviation (MAD), and a SuperTrend mechanism. This script aims to provide clear visual signals for trend entries and exits, making it suitable for traders looking to capture trends.
This indicator innovatively combines the smoothing properties of an SMA with the volatility-adaptive qualities of MAD to create dynamic SuperTrend bands. Unlike traditional SuperTrend indicators that rely on Average True Range (ATR) for volatility, this script uses Mean Absolute Deviation(MAD) to measure the average absolute deviation from the mean price, providing a different perspective on price volatility. The result is a SuperTrend system that adapts to market conditions with a focus on price deviation, offering a unique tool for trend detection.
Components and Calculations
Simple Moving Average (SMA):
The SMA is a widely used indicator that calculates the average of a specified number of closing prices. It smooths price data to identify the overall trend direction. In this script, the SMA serves as the baseline for calculating dynamic upper and lower bands.
Mean Absolute Deviation (MAD):
MAD measures the average absolute deviation of the price from its mean. It quantifies volatility by calculating how far prices deviate from the mean price, offering an alternative to ATR.
SuperTrend Mechanism:
This SuperTrend indicator generates dynamic upper and lower bands around the Simple Moving Average (SMA) using mean absolute deviation as measure of volatility.
It tracks trend direction by comparing the close price to the bands:
If the price crosses above the upper band, the trend turns bullish, and the SuperTrend follows the lower band.
If the price crosses below the lower band, the trend turns bearish, and the SuperTrend follows the upper band.
The bands adjust based on their previous values, updating only when the price crosses a band or the band shifts in the correct direction, reducing false signals and ensuring stable trend detection.
How to Use the Indicator
Trend Signals:
Green Line: Indicates a bullish trend (price above the SuperTrend line).
Purple Line: Indicates a bearish trend (price below the SuperTrend line).
Bar and Candle Coloring: Bars and candles are colored green for bullish trends and purple for bearish trends, making it easy to visualize trend direction.
Filled Areas: The area between the price and the SuperTrend line is filled with transparent colors (green for bullish, purple for bearish) to highlight trend.
Inputs:
Source: Choose the price data for calculations.
SMA Length: Adjust the period for the SMA. Longer periods smooth the trend further.
MAD Length: Set the period for MAD calculation. Shorter periods make the MAD more sensitive.
Factor: Control the distance of the SuperTrend bands from the SMA. Higher values widen the bands, reducing sensitivity to price fluctuations.
Alerts:
The script includes alert conditions for trend changes:
SMA MAD SuperTrend Long: Triggered when the trend turns bullish.
SMA MAD SuperTrend Short: Triggered when the trend turns bearish.
Set up alerts in TradingView to receive notifications for these conditions.
Why Use This Script?
The SMA MAD SuperTrend | Oquant offers a fresh take on trend-following by integrating SMA as baseline and MAD for volatility measurement, providing an alternative to ATR-based SuperTrend indicators. Its clear visual signals, customizable inputs, and alert conditions make it versatile for traders of all levels.
⚠️ Disclaimer: This indicator is intended for educational and informational purposes only. Trading/investing involves risk, and past performance does not guarantee future results. Always test and evaluate indicators/strategies before applying them in live markets. Use at your own risk.
Divergence & Volume ThrustThis document provides both user and technical information for the "Divergence & Volume Thrust" (DVT) Pine Script indicator.
Part 1: User Guide
1.1 Introduction
The DVT indicator is an advanced tool designed to automatically identify high-probability trading setups. It works by detecting divergences between price and key momentum oscillators (RSI and MACD).
A divergence is a powerful signal that a trend might be losing strength and a reversal is possible. To filter out weak signals, the DVT indicator includes a Volume Thrust component, which ensures that a divergence is backed by significant market interest before it alerts you.
🐂 Bullish Divergence: Price makes a new low, but the indicator makes a higher low. This suggests selling pressure is weakening.
🐻 Bearish Divergence: Price makes a new high, but the indicator makes a lower high. This suggests buying pressure is weakening.
1.2 Key Features on Your Chart
When you add the indicator to your chart, here's what you will see:
Divergence Lines:
Bullish Lines (Teal): A line will be drawn on your chart connecting two price lows that form a bullish divergence.
Bearish Lines (Red): A line will be drawn connecting two price highs that form a bearish divergence.
Solid lines represent RSI divergences, while dashed lines represent MACD divergences.
Confirmation Labels:
"Bull Div ▲" (Teal Label): This label appears below the candle when a bullish divergence is detected and confirmed by a recent volume spike. This is a high-probability buy signal.
"Bear Div ▼" (Red Label): This label appears above the candle when a bearish divergence is detected and confirmed by a recent volume spike. This is a high-probability sell signal.
Volume Spike Bars (Orange Background):
Any price candle with a faint orange background indicates that the volume during that period was unusually high (exceeding the average volume by a multiplier you can set).
1.3 Settings and Configuration
You can customize the indicator to fit your trading style. Here's what each setting does:
Divergence Pivot Lookback (Left/Right): Controls the sensitivity of swing point detection. Lower numbers find smaller, more frequent divergences. Higher numbers find larger, more significant ones. 5 is a good starting point.
Max Lookback Range for Divergence: How many bars back the script will look for the first part of a divergence pattern. Default is 60.
Indicator Settings (RSI & MACD):
You can toggle RSI and MACD divergences on or off.
Standard length settings for each indicator (e.g., RSI Length 14, MACD 12, 26, 9).
Volume Settings:
Use Volume Confirmation: The most important filter. When checked, labels will only appear if a volume spike occurs near the divergence.
Volume MA Length: The lookback period for calculating average volume.
Volume Spike Multiplier: The core of the "Thrust" filter. A value of 2.0 means volume must be 200% (or 2x) the average to be considered a spike.
Visuals: Customize colors and toggle the confirmation labels on or off.
1.4 Strategy & Best Practices
Confluence is Key: The DVT indicator is powerful, but it should not be used in isolation. Look for its signals at key support and resistance levels, trendlines, or major moving averages for the highest probability setups.
Wait for Confirmation: A confirmed signal (with a label) is much more reliable than an unconfirmed divergence line.
Context Matters: A bullish divergence in a strong downtrend might only lead to a small bounce, not a full reversal. Use the signals in the context of the overall market structure.
Set Alerts: Use the TradingView alert system with this script. Create alerts for "Confirmed Bullish Divergence" and "Confirmed Bearish Divergence" to be notified of setups automatically.
Advanced RSI-ADX-Bollinger Market Overview DashboardStudy Material: Advanced RSI–ADX–Bollinger Market Overview Dashboard
This dashboard is a comprehensive trading tool designed to combine three powerful technical analysis methods—RSI (Relative Strength Index), ADX (Average Directional Index), and Bollinger Bands—into one unified system with live table output and progress indicators. It aims to provide a complete market snapshot at a glance, helping traders monitor momentum, volatility, trend, and market signals.
________________________________________
🔹 Core Concepts Used
1. RSI (Relative Strength Index)
• RSI measures market momentum by comparing price gains and losses.
• A high RSI indicates overbought conditions (possible reversal or sell zone).
• A low RSI indicates oversold conditions (possible reversal or buy zone).
• In this dashboard, RSI is also represented with progress bars to show how far the current value is moving toward extreme zones.
2. ADX (Average Directional Index)
• ADX is used to gauge the strength of a trend.
• When ADX rises above a threshold, it signals a strong trend (whether bullish or bearish).
• The system checks when ADX momentum crosses above its threshold to confirm whether a signal has strong backing.
3. Bollinger Bands
• Bollinger Bands measure volatility around a moving average.
• The upper band indicates potential overbought pressure, while the lower band shows oversold pressure.
• Expansion of the bands signals rising volatility, contraction shows calming markets.
• This tool also assigns a BB Trend Label: Expand ↑ (bullish), Contract ↓ (bearish), or Neutral →.
________________________________________
🔹 What This Dashboard Tracks
1. Signal Generation
o BUY Signal: RSI oversold + price near lower Bollinger Band + ADX strength confirmation.
o SELL Signal: RSI overbought + price near upper Bollinger Band + ADX strength confirmation.
o Labels are plotted on the chart to indicate BUY or SELL points.
2. Trend Direction & Strength
o The script analyzes short- and medium-term moving averages to decide whether the market is Bullish, Bearish, or Flat.
o An arrow symbol (↑, ↓, →) is shown to highlight the trend.
3. Signal Performance Tracking
o Once a BUY or SELL signal is active, the dashboard tracks:
Maximum profit reached
Maximum loss faced
Whether the signal is still running or closed
o This gives the trader performance feedback on past and ongoing signals.
4. Volume Analysis
o Volume is split into Buy Volume (candles closing higher) and Sell Volume (candles closing lower).
o This provides insight into who is in control of the market—buyers or sellers.
5. Comprehensive Data Table
o A professional table is displayed directly on the chart showing:
RSI Value
ADX Strength
Buy/Sell Volumes
Trend Direction
Bollinger Band Trend
Previous Signal Performance (Max Profit / Max Loss)
Current Signal Performance (Max Profit / Max Loss)
Symbol Name
o Each metric is color-coded for instant decision-making.
6. Progress Indicators
o RSI Progress Bar (0–100 scale).
o ADX Progress Bar (0–50 scale).
o Bollinger Band Expansion/Contraction progress.
o Signal profit/loss progress visualization.
7. Market Status Summary
o The dashboard issues a status label such as:
🔴 SELL ACTIVE
🔵 BUY ACTIVE
🟢 BULL MARKET
🔴 BEAR MARKET
🟡 NEUTRAL
________________________________________
🔹 Practical Use Case
This dashboard is ideal for traders who want a consolidated decision-making tool. Instead of monitoring RSI, ADX, and Bollinger Bands separately, the system automatically combines them and shows signals, trends, volumes, and performance in one view.
It can be applied to:
• Intraday Trading (short-term moves with high volatility).
• Swing Trading (holding positions for days to weeks).
• Trend Confirmation (identifying when to stay in or exit trades).
________________________________________
⚠️ Strict Disclaimer (aiTrendview Policy)
• This script is a research and educational tool only.
• It does NOT guarantee profits and must not be used as a sole decision-making system.
• Past performance tracking inside the dashboard is informational and does not predict future outcomes.
• Trading involves significant financial risk, including potential loss of all capital.
• Users are fully responsible for their own trading decisions.
________________________________________
🚫 Misuse Policy (aiTrendview Standard)
• Do not misuse this tool for false claims of guaranteed profits.
• Redistribution, resale, or repackaging under another name is strictly prohibited without aiTrendview permission.
• This tool is intended to support disciplined trading practices, not reckless speculation.
• aiTrendview does not support gambling-style use or over-leveraging based on this script.
________________________________________
👉 In short: This system is a professional decision-support tool that integrates RSI, ADX, and Bollinger Bands into one dashboard with signals, performance tracking, and progress visualization. It helps traders see the bigger picture of market health—but the responsibility for action remains with the trader.
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GMMA ABC Signal Goal (one-liner)
Detect trend-aligned entries using an 18-EMA GMMA stack, then filter out chop with momentum (ATR), trend strength (ADX/RSI), and a tight-range (“box”) mute. Auto-draw SL/TP and fire alerts.
1) Core inputs & idea
Three entry archetypes
Type A (Structure break in a tight bundle): GMMA is narrow → price breaks prior swing with correct bull/bear sequence.
Type B (Trend continuation): Price crosses many EMAs with body and short>mid (bull) or short midAvg, close > longAvg, candle pass.
Short: red body, crossBodyDown ≥ bodyThresh, shortAvg < midAvg, close < longAvg, candle pass.
Anti-chop add-ons:
Require GMMA spread ≥ minSpreadB (trend sufficiently expanded).
ADX/RSI gate (configurable AND/OR and individual enable flags):
ADX ≥ adxMin_B
RSI ≥ rsiMinLong_B (long) or RSI ≤ rsiMaxShort_B (short)
Type C — momentum pop
Needs many crosses (crossUp / crossDown ≥ crossThresh) and a strong candle.
Has its own ATR body threshold: body ≥ ATR * atrMultC (separate from global).
6) Global “Box” (tight-range) mute
Look back boxLookback bars; if (highest−lowest)/close ≤ boxMaxPct, then mute all signals.
Prevents trading inside cramped ranges.
7) Signal priority + confirmation + cooldown
Compute raw A/B/C booleans.
Pick first valid in order A → B → C per side (long/short).
Apply:
Bar confirmation (confirmClose)
Cooldown (no new signal within cooldownBars after last)
Global box mute
Record bar index to enforce cooldown.
8) SL/TP logic (simple R-based scaffolding)
SL: previous swing extreme within structLookback (long uses prevLow, short uses prevHigh).
Risk R: distance from entry close to SL (min-tick protected).
TPs: TP1/TP2/TP3 = close ± R × (tp1R, tp2R, tp3R) depending on side.
On a new signal, draw lines for SL/TP1/TP2/TP3; keep them for keepBars then auto-delete.
9) Visuals & alerts
Plot labels for raw Type A/B/C (so you can see which bucket fired).
Entry label on the chosen signal with SL/TP prices.
Alerts: "ABC LONG/SHORT Entry" with ticker & timeframe placeholders.
10) Info panel (top-right)
Shows spread%, box%, ADX, RSI on the last/confirmed bar for quick situational awareness.
11) How to tune (quick heuristics)
Too many signals? Increase minSpreadB, adxMin_B, bodyThresh, or enable confirmClose and a small cooldownBars.
Missing breakouts? Lower atrMultC (Type C) or crossThresh; relax minSpreadB.
Choppy pairs/timeframes? Raise boxMaxPct sensitivity (smaller value mutes more), or raise atrMult (global) to demand fatter candles.
Cleaner trends only? Turn on strictSeq for Type A; raise minSpreadB and adxMin_B.
12) Mental model (TL;DR)
A = “Tight coil + fresh structure break”
B = “Established trend, strong continuation” (spread + ADX/RSI keep you out of chop)
C = “Momentum burst through many EMAs” (independent ATR gate)
Then add box mute, close confirmation, cooldown, and auto SL/TP scaffolding.
cd_SMT_Sweep_CISD_CxGeneral
This indicator is designed to show trading opportunities after sweeps of higher timeframe (HTF) highs/lows and, if available, Smart Money Technique (SMT) divergence with a correlated asset, followed by confirmation from a lower timeframe change in state delivery (CISD).
Users can track SMT, Sweep, and CISD levels across nine different timeframes.
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Usage and Details
Commonly correlated timeframes are available in the menu by default. Users can also enter other compatible timeframes manually if necessary.
The indicator output is presented as:
• A summary table
• Display on HTF candles
• CISD levels shown as lines
Users can disable any of these from the menu.
Presentations of selected timeframes are displayed only if they are greater than or equal to the active chart timeframe.
From the Show/Hide section, you can control the display of:
• SMT table
• Sweep table
• HTF candles
• CISD levels
• HTF boxes aligned with the active timeframe
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SMT Analysis
To receive analysis, users must enter correlated assets in the menu (or adjust them as needed).
If asset X is paired with correlated asset Y, then a separate entry for Y correlated with X is not required.
Four correlation pairs are included by default. Users should check them according to their broker/exchange or define new ones.
Checkboxes at the beginning of each row allow activation/deactivation of pairs.
SMT analysis is performed on the last three candles of each selected HTF.
If one asset makes a new high while the correlated one does not (or one makes a new low while the other does not), this is considered SMT and will be displayed both in the table and on the chart.
Charts without defined correlated assets will not display an SMT table.
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Sweep Analysis
For the selected timeframes, the current candle is compared with the previous one.
If price violates the previous level and then pulls back behind it, this is considered a sweep. It is displayed in both the table and on the chart.
Within correlated pairs, the analysis is done separately and shown only in the table.
Example with correlated and non-correlated pairs:
• In the table, X = false, ✓ = true.
• The Sweep Table has two columns for Bullish and Bearish results.
• For correlated pairs, both values appear side by side.
• For undefined pairs, only the active asset is shown.
Example 1: EURUSD and GBPUSD pair
• If both sweep → ✓ ✓
• If one sweeps, the other does not → ✓ X
• If neither sweeps → X X
Example 2: AUDUSD with no correlated pair defined
• If sweep → ✓
• If no sweep → X
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HTF Candles
For every HTF enabled by the user, the last three candles (including the current one) are shown on the chart.
SMT and sweep signals are marked where applicable.
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CISD Levels
For the selected timeframes, bullish and bearish CISD levels are plotted on the chart.
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HTF Boxes
HTF boxes aligned with the active timeframe are displayed on the chart.
Box border colors change according to whether the active HTF candle is bullish or bearish.
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How to Read the Chart?
Let’s break down the example below:
• Active asset: Nasdaq
• Correlated asset: US500 (defined in the menu, confirmed in the table bottom row)
• Active timeframe: H1 → therefore, the HTF box is shown for Daily
• Since a correlated pair is defined, the indicator runs both SMT and Sweep analysis for the selected timeframes. Without correlation, only Sweep analysis would be shown.
Table is prepared for H1 and higher timeframes (as per user selection and active TF).
Observations:
• SMT side → H1 timeframe shows a bearish warning
• Sweep side → Bearish column shows X and ✓
o X → no sweep on Nasdaq
o ✓ → sweep on US500
Meaning: US500 made a new high (+ sweep) while Nasdaq did not → SMT formed.
The last column of the table shows the compatible LTF for confirmation.
For H1, it suggests checking the 5m timeframe.
On the chart:
• CISD levels for selected timeframes are drawn
• SMT line is marked on H1 candles
• Next step: move to 5m chart for CISD confirmation before trading (with other confluences).
Similarly, the Daily row in the table shows a Bullish Sweep on US500.
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Alerts
Two alert options are available:
1. Activate Alert (SMT + Sweep):
Triggers if both SMT and Sweep occur in the selected timeframes. (Classic option)
2. Activate Alert (Sweep + Sweep):
Triggers if sweeps occur in both assets of a correlated pair at the same timeframe.
Interpretation:
If SMT + Sweep are already present on higher timeframes, and simultaneous sweeps appear on lower timeframes, this may indicate a strong directional move.
Of course, this must be validated with CISD and other confluences.
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HTF CISD Levels
Although CISD levels act as confirmation levels in their own timeframe, observing how price reacts to HTF CISD levels can provide valuable insights for intraday analysis.
POIs overlapping with these levels may be higher priority.
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What’s Next in Future Versions?
• Completed CISD confirmations
• Additional alert options
• Plus your feedback and suggestions
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Final Note
I’ll be happy to hear your opinions and feedback.
Happy trading!
Statistical FootprintStatistical Footprint - Behavioral Support & Resistance
This indicator identifies key price levels based on actual market behavior rather than traditional pivot calculations. It analyzes how bulls and bears have historically moved price from session opens, creating statistical zones where future reactions are most likely.
The concept is simple: track how far bullish candles typically push above the open versus how far bearish candles drop below it. These patterns reveal the market's behavioral "footprint" - showing where momentum typically stalls and reverses.
Key Features:
- Separate analysis for daily and weekly timeframes
- Smart zone merging when levels cluster together (within 5 points)
- Uses both mean and median calculations for more robust levels
- XGBoost-optimized lookback periods for maximum statistical significance
- Clean zone-only display focused on actionable price areas
How it Works:
The code separates bullish and bearish sessions, measuring their typical range extensions from the open. It then projects these statistical ranges forward from current session opens, creating "behavioral zones" where the market has historically shown consistent reactions.
When daily and weekly levels align closely, they merge into combined zones with enhanced significance. Labels show both the mean and median values when they differ meaningfully.
Best Used For:
- Identifying high-probability reversal zones
- Setting profit targets based on historical behavior
- Understanding market sentiment shifts at key levels
- Confluence analysis between different timeframes
The lookback periods have been optimized using machine learning to find the most predictive historical sample sizes for current market conditions.
HorizonSigma Pro [CHE]HorizonSigma Pro
Disclaimer
Not every timeframe will yield good results . Very short charts are dominated by microstructure noise, spreads, and slippage; signals can flip and the tradable edge shrinks after costs. Very high timeframes adapt more slowly, provide fewer samples, and can lag regime shifts. When you change timeframe, you also change the ratios between horizon, lookbacks, and correlation windows—what works on M5 won’t automatically hold on H1 or D1. Liquidity, session effects (overnight gaps, news bursts), and volatility do not scale linearly with time. Always validate per symbol and timeframe, then retune horizon, z-length, correlation window, and either the neutral band or the z-threshold. On fast charts, “components” mode adapts quicker; on slower charts, “super” reduces noise. Keep prior-shift and calibration enabled, monitor Hit Rate with its confidence interval and the Brier score, and execute only on confirmed (closed-bar) values.
For example, what do “UP 61%” and “DOWN 21%” mean?
“UP 61%” is the model’s estimated probability that the close will be higher after your selected horizon—directional probability, not a price target or profit guarantee. “DOWN 21%” still reports the probability of up; here it’s 21%, which implies 79% for down (a short bias). The label switches to “DOWN” because the probability falls below your short threshold. With a neutral-band policy, for example ±7%, signals are: Long above 57%, Short below 43%, Neutral in between. In z-score mode, fixed z-cutoffs drive the call instead of percentages. The arrow length on the chart is an ATR-scaled projection to visualize reach; treat it as guidance, not a promise.
Part 1 — Scientific description
Objective.
The indicator estimates the probability that price will be higher after a user-defined horizon (a chosen number of bars) and emits long, short, or neutral decisions under explicit thresholds. It combines multi‑feature, z‑normalized inputs, adaptive correlation‑based weighting, a prior‑shifted sigmoid mapping, optional rolling probability calibration, and repaint‑safe confirmation. It also visualizes an ATR‑scaled forward projection and prints a compact statistics panel.
Data and labeling.
For each bar, the target label is whether price increased over the past chosen horizon. Learning is deliberately backward‑looking to avoid look‑ahead: features are associated with outcomes that are only known after that horizon has elapsed.
Feature engineering.
The feature set includes momentum, RSI, stochastic %K, MACD histogram slope, a normalized EMA(20/50) trend spread, ATR as a share of price, Bollinger Band width, and volume normalized by its moving average. All features are standardized over rolling windows. A compressed “super‑feature” is available that aggregates core trend and momentum components while penalizing excessive width (volatility). Users can switch between a “components” mode (weighted sum of individual features) and a “super” mode (single compressed driver).
Weighting and learning.
Weights are the rolling correlations between features (evaluated one horizon ago) and realized directional outcomes, smoothed by an EMA and optionally clamped to a bounded range to stabilize outliers. This produces an adaptive, regime‑aware weighting without explicit machine‑learning libraries.
Scoring and probability mapping.
The raw score is either the weighted component sum or the weighted super‑feature. The score is standardized again and passed through a sigmoid whose steepness is user‑controlled. A “prior shift” moves the sigmoid’s midpoint to the current base rate of up moves, estimated over the evaluation window, so that probabilities remain well‑calibrated when markets drift bullish or bearish. Probabilities and standardized scores are EMA‑smoothed for stability.
Decision policy.
Two modes are supported:
- Neutral band: go long if the probability is above one half plus a user‑set band; go short if it is below one half minus that band; otherwise stay neutral.
- Z‑score thresholds: use symmetric positive/negative cutoffs on the standardized score to trigger long/short.
Repaint protection.
All values used for decisions can be locked to confirmed (closed) bars. Intrabar updates are available as a preview, but confirmed values drive evaluation and stats.
Calibration.
An optional rolling linear calibration maps past confirmed probabilities to realized outcomes over the evaluation window. The mapping is clipped to the unit interval and can be injected back into the decision logic if desired. This improves reliability (probabilities that “mean what they say”) without necessarily improving raw separability.
Evaluation metrics.
The table reports: hit rate on signaled bars; a Wilson confidence interval for that hit rate at a chosen confidence level; Brier score as a measure of probability accuracy; counts of long/short trades; average realized return by side; profit factor; net return; and exposure (signal density). All are computed on rolling windows consistent with the learning scheme.
Visualization.
On the chart, an arrowed projection shows the predicted direction from the current bar to the chosen horizon, with magnitude scaled by ATR (optionally scaled by the square‑root of the horizon). Labels display either the decision probability or the standardized score. Neutral states can display a configurable icon for immediate recognition.
Computational properties.
The design relies on rolling means, standard deviations, correlations, and EMAs. Per‑bar cost is constant with respect to history length, and memory is constant per tracked series. Graphical objects are updated in place to obey platform limits.
Assumptions and limitations.
The method is correlation‑based and will adapt after regime changes, not before them. Calibration improves probability reliability but not necessarily ranking power. Intrabar previews are non‑binding and should not be evaluated as historical performance.
Part 2 — Trader‑facing description
What it does.
This tool tells you how likely price is to be higher after your chosen number of bars and converts that into Long / Short / Neutral calls. It learns, in real time, which components—momentum, trend, volatility, breadth, and volume—matter now, adjusts their weights, and shows you a probability line plus a forward arrow scaled by volatility.
How to set it up.
1) Choose your horizon. Intraday scalps: 5–10 bars. Swings: 10–30 bars. The default of 14 bars is a balanced starting point.
2) Pick a feature mode.
- components: granular and fast to adapt when leadership rotates between signals.
- super: cleaner single driver; less noise, slightly slower to react.
3) Decide how signals are triggered.
- Neutral band (probability based): intuitive and easy to tune. Widen the band for fewer, higher‑quality trades; tighten to catch more moves.
- Z‑score thresholds: consistent numeric cutoffs that ignore base‑rate drift.
4) Keep reliability helpers on. Leave prior shift and calibration enabled to stabilize probabilities across bullish/bearish regimes.
5) Smoothing. A short EMA on the probability or score reduces whipsaws while preserving turns.
6) Overlay. The arrow shows the call and a volatility‑scaled reach for the next horizon. Treat it as guidance, not a promise.
Reading the stats table.
- Hit Rate with a confidence interval: your recent accuracy with an uncertainty range; trust the range, not only the point.
- Brier Score: lower is better; it checks whether a stated “70%” really behaves like 70% over time.
- Profit Factor, Net Return, Exposure: quick triage of tradability and signal density.
- Average Return by Side: sanity‑check that the long and short calls each pull their weight.
Typical adjustments.
- Too many trades? Increase the neutral band or raise the z‑threshold.
- Missing the move? Tighten the band, or switch to components mode to react faster.
- Choppy timeframe? Lengthen the z‑score and correlation windows; keep calibration on.
- Volatility regime change? Revisit the ATR multiplier and enable square‑root scaling of horizon.
Execution and risk.
- Size positions by volatility (ATR‑based sizing works well).
- Enter on confirmed values; use intrabar previews only as early signals.
- Combine with your market structure (levels, liquidity zones). This model is statistical, not clairvoyant.
What it is not.
Not a black‑box machine‑learning model. It is transparent, correlation‑weighted technical analysis with strong attention to probability reliability and repaint safety.
Suggested defaults (robust starting point).
- Horizon 14; components mode; weight EMA 10; correlation window 500; z‑length 200.
- Neutral band around seven percentage points, or z‑threshold around one‑third of a standard deviation.
- Prior shift ON, Calibration ON, Use calibrated for decisions OFF to start.
- ATR multiplier 1.0; square‑root horizon scaling ON; EMA smoothing 3.
- Confidence setting equivalent to about 95%.
Disclaimer
No indicator guarantees profits. HorizonSigma Pro is a decision aid; always combine with solid risk management and your own judgment. Backtest, forward test, and size responsibly.
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
Enhance your trading precision and confidence 🚀
Best regards
Chervolino
