Indicator
Indicator
Multi-Timeframe Squeeze Board LiteWhat it shows
Multi-Timeframe Squeeze Board — Lite answers one question at a glance: "Where is this symbol compressed, and which way is momentum leaning, on every timeframe that matters?" For the chart's symbol it displays a compact table with one row per timeframe — 15m, 1h, 4h, Daily, Weekly — and two readings per row:
- Sqz — the TTM Squeeze compression state as a colored dot, using the standard three-level cascade: orange = high squeeze (deepest compression), red = mid squeeze, black = low squeeze, green = no squeeze (volatility released / normal).
- Mom — the squeeze momentum oscillator as a colored arrow using the classic 4-color scheme: aqua = positive and rising, blue = positive but falling, yellow = negative but rising, red = negative and falling. The arrow points up when momentum is increasing bar-over-bar and down when it is decreasing.
A stacked squeeze (orange/red dots on several adjacent timeframes) marks a market coiling across horizons; the momentum colors tell you which side the pressure is building on.
How it works
Each row runs the full TTM Squeeze calculation on its own timeframe via request.security() with lookahead = barmerge.lookahead_off (no future data, ever):
1. Bollinger Bands: SMA(close, 20) basis, 2.0 × population standard deviation.
2. Keltner Channels: the same SMA(close, 20) basis, with band width = SMA of True Range over 20 bars (simple average of TR — not Wilder's ATR) at three multipliers: 1.0, 1.5, 2.0.
3. A squeeze is on when the Bollinger Bands sit fully inside the Keltner Channel on both sides. The narrower the Keltner band that still contains the BB, the deeper the compression — hence the 1.0-multiplier band defines the high squeeze, 1.5 the mid, 2.0 the low.
4. Momentum is the linear regression of price's deviation from the average of the Donchian midline and the SMA, over the same 20 bars.
By default the board evaluates confirmed bars only: every row shows the last fully closed bar of its timeframe, so a dot or arrow never changes after it appears. See Limitations for the tradeoff.
Inputs
- Squeeze length — lookback for BB, KC and momentum (default 20, the canonical TTM setting).
- Confirmed HTF bars only — ON (default): stable, non-repainting readings that lag up to one bar of each row's timeframe. OFF: rows track the still-forming higher-timeframe bar — more current, but the reading can flip until that bar closes.
- Table position / Table size — where the board sits and how large it renders.
How to use it
Apply it to a 15m chart (or lower) so all five rows populate. Scan the Sqz column top-to-bottom: multiple orange/red dots stacked across timeframes indicate multi-horizon compression — historically the precondition for expansion moves. Then read the Mom column for directional lean while the compression resolves. The board is a context tool: it tells you where energy is stored, not when or in which direction it must release.
Limitations — please read
- Confirmed-bar lag: with the default non-repainting mode, the Weekly row updates once per week, the Daily row once per day, etc. That is the honest cost of stability. Turning the toggle off shows the live forming bar instead, and those readings can change until the bar closes.
- Rows below the chart's timeframe show "–": Pine's request.security() cannot reliably reconstruct lower-timeframe series, so instead of showing a possibly wrong dot the board declines to show one. Use a 15m chart to see everything.
- A squeeze has no direction. Compression means stored energy, not a buy or sell signal. The momentum color is a lean, not a prediction.
- Warm-up: each timeframe needs about 20 bars of history before its row populates (shown as "·" until then).
This board covers one symbol — the chart's.
Indicator
Modern Bollinger Bands [GBB]Modern Bollinger Bands
I rebuilt Bollinger Bands. Not because the original is bad, John Bollinger's work has held up for forty years, but because the defaults everyone uses were designed for daily stock charts in the 1980s and we're putting them on crypto perps at 3am.
WHAT'S WRONG WITH THE CLASSIC
Five things, in my view.
The window is always 20 bars. Doesn't matter if the market is in a fast news week or a dead summer range, you get the same 20.
The bands assume returns follow a bell curve. Asset returns have fat tails, so price pokes outside a two sigma band far more often than the theory says it should.
A band touch has no meaning on its own. In a range, fading the touch works okay. In a trend, price walks down the band and runs over every single fade. The classic gives you nothing to tell those two situations apart, and that's the flaw that costs people real money.
The SMA basis is slow. Equal weight on every bar means the middle line describes the market as it was roughly ten bars ago.
And band width isn't comparable to anything. What counts as narrow on one chart means nothing on another, so squeeze thresholds end up being eyeballed.
WHAT I CHANGED
The length adapts. An Ehlers homodyne discriminator measures the dominant cycle in price and the window becomes half of it, between 10 and 50 bars. When there's no measurable cycle because the market is trending too hard, the length freezes at the last good value instead of guessing.
The basis is a KAMA instead of SMA. It speeds up when price is actually going somewhere and almost stops updating in chop.
The bands are percentile bands, not sigma bands. 97.5th and 2.5th percentile of the real deviations around the basis, nearest rank, over a longer window. Your market's actual tails, not a textbook bell curve.
I added a regime filter: Kaufman efficiency ratio, percentile ranked against the last 252 bars, with 70/55 hysteresis so it doesn't flip flop on the boundary. Blue bands are RANGE, orange bands are TREND, and the signals respect the color.
And the squeeze is a score from 0 to 100. Percentile rank of band width against the last year of bars. A score of 8 reads the same on every symbol and every timeframe.
THE SIGNALS
Three types, that only trigger on candle close, so there is nothing repainted.
Singal1: Blue triangles. The classic fade, but only where it belongs. Price closes outside a band, the next bar closes back inside, and the regime is RANGE. In TREND this signal simply doesn't exist.
Singal2: Orange circles. Trend pullback. Price dips into a zone around the basis, then closes back in the trend direction. TREND only and with the trend only. One thing about the chart markers: in a long trend this setup can fire on several nearby bars, so the chart draws the first circle of a cluster and skips the repeats for a few bars, so the chart does not get too cluttered.
Signal3: Diamonds. Squeeze release after at least 5 bars of squeeze, then the squeeze ends and price closes outside a band on that same bar. Important: While this is the most intuitive setup of the three and it's the one my testing supports least. Release events showed the same forward 20 bar volatility as typical bars from the same hours. Volume confirmation didn't help either, I tested that separately. The diamonds mark a real event, compression ended and price left the bands, but whether that's worth anything is a question my data answered with no. I included the signal and alert for it anyway, because I know many of you will want it.
SETTINGS
Everything above is a toggle. The groups match the settings dialog, so here's what each one actually does and when you'd touch it.
Adaptive length: Length mode switches between Adaptive and Fixed. Adaptive is the point of this indicator. Fixed with the default of 20 exists for two reasons: reproducing the classic, and for people who want to trust their own number. The fixed length input only matters in Fixed mode.
Basis / bands: Basis picks KAMA or SMA for the middle line, bands picks Robust (percentile) or Stdev (classic sigma). Set Fixed 20 plus SMA plus Stdev and you have exact 1980s Bollinger Bands, that combination is deliberately supported. The stdev multiplier (2.0) only applies in Stdev mode. The robust percentiles (97.5 and 2.5) set where the bands sit in the deviation distribution, pull them toward 95/5 if you want more touches and more signals, push them out if you want only the extremes. The robust window multiplier and floor control how much history the percentile estimate uses, 4 times the adaptive length with a floor of 80 bars by default. Shorter windows react faster to volatility shifts but the tail estimates get noisy, I would leave these alone unless you know why you're changing them. KAMA fast and slow (2 and 30) are the standard Kaufman speeds, the basis moves between a 2 period and a 30 period EMA depending on how efficient the move is.
Regime / squeeze: KER length (20) is the window for the efficiency ratio itself. The percentile rank window (252) is what "recent history" means for both the regime and the squeeze score, about one year of daily bars, about ten days on 1h. TREND enter (70) and TREND exit (55) are the hysteresis levels: the market has to rank above the 70th percentile in efficiency to be called TREND and drop back below the 55th to be called RANGE again. Widen the gap and the regime switches less often but later, narrow it and you get earlier calls with more flip flops. These defaults sat on a flat plateau in sensitivity testing, meaning nearby values gave nearly identical results, so there's no magic in 70/55, but there's also nothing to gain from tuning them. Squeeze threshold (20) defines squeeze as band width below the 20th percentile, and min bars in squeeze (5) stops one bar dips from counting as compression.
Signals: One input, the S2 touch fraction (0.25). It sets how close to the basis a pullback has to come, measured as a fraction of the band halfwidth. Smaller means stricter pullbacks and fewer S2 signals.
Display: Clean display preset strips everything down to the three lines, no fill, no markers, no panel. The info panel (regime, KER percentile, adaptive length with its frozen flag, squeeze score, last signal) is off by default, turn it on when you want to see what the indicator is "thinking". Signal markers and the squeeze heat on the band fill can be switched off separately. The S2 marker debounce (5) is the cosmetic cluster filter from the signals section, set it to 0 if you want every circle drawn.
Parity: You can ignore this group for trading. It pins the computation start to a fixed timestamp so every value on the chart can be reproduced bar for bar against a Python reference implementation. It's how the validation was done and it stays in so anyone can check my work.
ALERTS
Six per signal alerts plus the combined JSON one with symbol, timeframe, signal, regime, squeeze score and band levels. Once per confirmed bar close, built for webhook bots.
No indicator prints money, this one included. It tells you regime, structure and volatility state, with the evidence behind each part published, nulls and all. Trade safe. Indicator
CVD Pressure Aura [Weather HUD]Order flow rendered as living weather around the price — an immersive perception tool, not a signal generator.
CVD Pressure Aura turns cumulative volume delta into a living atmospheric heads-up display that surrounds your candles like weather around a glass pane.
Instead of staring at abstract bars in a separate pane, you now feel the pressure regime directly on the chart: buying pressure pushing up from below as a glowing green aura, selling pressure pouring down from above as a red flood. The market’s breathing, compression, and exhaustion become visible at a glance.
How to Read It
A smooth envelope (default: Bollinger 20 SMA ± 2σ, now with optional smoothed Keltner channel) acts as the “glass.” All order flow lives outside it — the candles stay clean and readable at all times.
🌱 Green aura below — buying pressure rising from beneath. Taller and brighter = stronger, more persistent demand.
🌧 Red flood above — selling pressure pouring down. Same logic, mirrored.
The Aura Breathes
A slow SMA (200 default) drives the regime engine:
Compression — When volatility squeezes, cyan clamps close in from above and below, tightening the coil. You can literally watch the market rally straight into a pressure zone and feel the crowd standing at that level.
Exhaustion — When price stretches far from the slow SMA, the opposing aura swells (gravity above an over-extended rally, spring loading beneath an over-extended sell-off). ⚡ marks full stretch.
Symbols (full weather legend available on-chart)
🡑 / 🡓 — strong one-sided flow this bar (sparks / rain)
☀ / ☂ — extreme flow, top 10% of lookback (thermal / storm)
⚡ — full exhaustion (maximally stretched from slow SMA)
▼ cyan — full coil (tightest squeeze of the lookback)
✦ orange (above) — bearish divergence: new price high, CVD refuses to follow
✦ cyan (below) — bullish divergence: new price low, CVD refuses to follow
Key Features
New: Smoothed Keltner Channel option for a cleaner, more adaptive glass pane
Cyan compression clamps that visually tighten during squeezes
Overdrive slider (0–100) for full immersion
Rolling regime engine with breathing mechanics
Works on any timeframe and symbol with volume
This is a perception instrument, engineered to make order flow feelable rather than merely measurable. Nothing here is financial advice — it exists to help you develop an intuitive sense of market pressure.
Engineered with Claude (Anthropic). Feedback and ideas for future iterations are very welcome.
Release notes (v1.2)
NEW: Keltner Channel envelope mode (SMA or EMA basis ± ATR) — the smoothest glass
NEW: Cyan compression clamps replace the coil glyph — squeeze pressure now presses visibly on the envelope from both sides, readable at any zoom level
NEW: State-colored moving averages — slow SMA by slope, basis by regime (cyan coil / green bull / red bear / gray indecision)
On-chart weather legend, default bottom-left (clear of the PulseWire symbol overlay)
Plot budget optimized to fit the 64-plot engine limit
Indicator
AG Pro Bollinger Bands Squeeze Map [AGPro Series]AG Pro Bollinger Bands Squeeze Map
Overview
AG Pro Bollinger Bands Squeeze Map is a Bollinger-based compression and release mapping tool designed to show how volatility contracts, matures, expands, and sometimes fails directly on price.
Instead of reducing the entire process to a simple binary squeeze dot, this script organizes the behavior into a visual regime map. It tracks when compression is only beginning, when it becomes more meaningful, when it reaches deeper squeeze conditions, and when price transitions into a release phase. It also highlights failed releases and re-compression behavior, which can be useful when an expansion loses follow-through and the market slips back into a tighter volatility regime.
The goal of the script is not to predict the next move in advance, and it is not presented as a standalone trade system. Its purpose is to provide structured context around Bollinger Band compression so the user can evaluate whether the market is still coiling, already expanding, or losing expansion quality after an initial move.
This script is plotted directly on the chart and is built to remain readable without requiring a separate lower panel. The design prioritizes chart-first interpretation, moderate visual hierarchy, and state clarity.
Unique Edge
Many Bollinger squeeze tools stop at a yes/no condition or a single timing marker. This script takes a broader approach.
Its primary difference is that it treats squeeze behavior as a sequence of states rather than as a single event. That means the script does not only ask whether a squeeze exists. It also asks:
- Is compression only building, or is it already active?
- Has the squeeze become deep or mature?
- Did the first release show better or weaker expansion quality?
- Did the move fail and rotate back toward the basis?
- Is the market entering a re-compression phase after release?
This state-based mapping framework is the main distinction of the indicator. The intent is to help the user see volatility structure more clearly, rather than to provide a simplistic breakout label.
What the Script Does
The script combines Bollinger Band structure, normalized band width, width percentile logic, optional Keltner Channel confirmation, and release-state scoring into a single on-chart map.
In practice, the indicator can highlight:
- Building Compression
- Active Squeeze
- Deep Squeeze
- Mature Squeeze
- Up Release
- Down Release
- Failed Release
- Re-Compression
The result is a visual progression from contraction to expansion, with added context about the quality of that transition.
Methodology
1) Bollinger Band Structure
The script begins with a standard Bollinger Band framework built from a basis line and upper/lower deviations. This establishes the primary price envelope used throughout the tool.
2) Normalized Band Width
Raw band width is normalized relative to the basis so that compression can be assessed more consistently across changing price levels.
3) Width Percentile Regime Detection
The script evaluates current band width against a lookback window using percentile rank logic. This allows the user to frame current compression relative to recent history rather than relying only on absolute width values.
4) Optional Keltner Confirmation
An optional Keltner containment component can be used to strengthen squeeze filtering. Depending on the selected mode, the script can use percentile logic, Keltner logic, or a hybrid of both.
5) Compression State Classification
Compression is not handled as one flat condition. The script distinguishes between building compression, active squeeze, deep squeeze, and mature squeeze based on percentile thresholds and persistence.
6) Release Quality Scoring
When price exits a squeeze state, the script evaluates the release using a score that incorporates bar body behavior, close location, width expansion, distance from basis, and wick influence. The output is grouped into quality labels such as Weak, Clean, or Strong.
7) Failed Release Logic
A release is not automatically treated as durable. If the move loses structure and rotates back through the basis within the monitoring window, the script can classify that behavior as a failed release.
8) Re-Compression Detection
After release, markets do not always trend cleanly. Sometimes they compress again. The re-compression logic is included to identify this return into tighter volatility conditions.
Signals and Alerts
The script includes deterministic alert conditions tied to state transitions. These alerts are intended to notify the user when a specific structural condition appears on the chart.
Available alert categories include:
- Active Squeeze
- Deep Squeeze
- Mature Squeeze
- Up Release
- Down Release
- Failed Release
- Re-Compression
These alerts describe indicator states. They are not guarantees of continuation, reversal, or trade outcome.
Visual Design
The indicator is designed to work as an on-chart map rather than as a lower-pane oscillator.
The visual structure includes:
- Bollinger Bands
- Optional Keltner Channel
- Compression and release zone fills
- State labels
- Compact information panel
The zone rendering is intentionally state-weighted. More important states such as release, deeper squeeze regimes, and failure/re-compression conditions receive stronger visual emphasis, while lower-priority compression states can remain lighter to reduce chart clutter.
Key Inputs
The script includes adjustable controls for:
- Detection mode
- Bollinger Band length and multiplier
- Percentile lookback and thresholds
- Keltner Channel length and ATR multiplier
- Minimum bar requirements for deeper squeeze states
- Release persistence window
- Failure and re-compression windows
- Label size and offset
- Band and channel visibility
- Map intensity
- Theme selection
- Panel position and font size
These controls allow the user to adapt the script to different assets, volatility profiles, and charting preferences.
How to Interpret It
A practical way to read the script is to think in phases.
When the indicator shows Building Compression, volatility is tightening but may not yet be at a stronger squeeze threshold.
When the indicator shifts into Active, Deep, or Mature squeeze conditions, compression is becoming more statistically notable relative to the selected lookback.
When a release label appears, the script is identifying a transition out of compression. The associated quality label is meant to describe the character of that release, not to certify future follow-through.
If a failed release appears, the script is signaling that the initial expansion did not maintain structure within the observation window.
If re-compression appears, the market may be moving from expansion back into tighter volatility conditions.
This framework is often more useful for context and filtering than for isolated signal-chasing.
Use Cases
This tool may be useful for users who want to:
- study volatility contraction and expansion directly on price
- compare weaker and cleaner releases after squeeze conditions
- identify failed expansion behavior
- add context to existing discretionary workflows
- use squeeze structure as a filter rather than a complete decision engine
It can also be used alongside structure analysis, trend analysis, support/resistance mapping, or broader workflow-based chart review.
Limitations and Transparency
This script is a volatility-structure tool. It is not a prediction engine and does not forecast future price direction with certainty.
Several important limitations should be kept in mind:
- A squeeze can resolve in either direction.
- A strong-looking release can still fail.
- A failed release does not automatically imply a reversal trend.
- Different symbols and timeframes may require different threshold settings.
- Very noisy instruments may produce more frequent state changes.
Because of this, the script should be interpreted as a structured context layer rather than as a standalone execution model.
Open-source access does not remove the need for user judgment. Inputs still need to be reviewed and adjusted where appropriate for the instrument and timeframe being studied.
Risk Disclosure
This indicator is for chart analysis and educational use. It does not provide financial, investment, legal, or tax advice.
Any decision based on this script remains the responsibility of the user. Markets can behave unpredictably, and no indicator can eliminate risk. Users should evaluate signals, states, and visual conditions in the context of their own methodology, time horizon, and risk framework. Indicator
Indicator
Dual Bollinger BandsDual Bollinger Bands
Dual Bollinger Bands is an advanced volatility-based indicator that plots two independent Bollinger Band sets on the same chart, allowing traders to analyze price behavior from multiple perspectives simultaneously.
Unlike standard Bollinger Bands, this indicator lets you configure each band set separately, making it especially useful for identifying asymmetric volatility, price compression/expansion zones, and dynamic support and resistance levels.
Key Features
Two fully independent Bollinger Bands
Each band has its own length, standard deviation multiplier, and moving average type.
Different price sources
BB1 can be calculated using High prices, while BB2 can use Low prices (or any source you choose), enabling a directional volatility envelope.
Custom Moving Average types
Choose between SMA, EMA, SMMA (RMA), WMA, or VWMA for each Bollinger basis.
Offset capability
Optional forward/backward offset allows visual projection or historical alignment analysis.
Clear visual separation
Each Bollinger set uses distinct colors and shaded areas for easy interpretation.
Overlay on price chart
Designed to work directly on the main chart for contextual market analysis.
How to Use
Volatility Analysis
Observe expansions and contractions between the two Bollinger sets to identify volatility regimes.
Dynamic Support & Resistance
Upper and lower bands can act as adaptive levels where price may react or revert.
Trend Context
When price consistently respects one side of a band set, it may indicate directional strength.
Mean Reversion & Breakout Zones
Convergence between bands may suggest compression, while rapid divergence can signal breakout conditions.
Best Use Cases
Intraday and swing trading
Volatility-based strategies
Trend-following or mean-reversion systems
Crypto, Forex, Indices, and Equities
Notes
This indicator does not generate signals by itself. It is designed to be used as a contextual volatility and structure tool, ideally combined with price action, market structure, or higher-level trading frameworks. Indicator
Volatility Expansion Indicator - D_QuantVolatility Expansion Indicator - D_Quant |V|C|E|
1. Concept & Overview
The Volatility Expansion Indicator (VCE) is a composite quantitative tool designed to identify robust trend states by aggregating signals from three distinct market dimensions: Relative Position (Volatility), Cyclical Momentum, and Price Velocity.
Unlike single-source indicators which often generate false positives during choppy markets, the VCE utilizes a "Consensus Engine." It normalizes signals from Bollinger %B, CCI, and ROC into a unified trend score (-1 to +1). This score drives the visual coloring of the price action and background, allowing traders to instantly gauge whether the market is in a state of volatility expansion (trending) or contraction (ranging).
2. Methodology & Calculation
The core logic relies on a weighted aggregation of three technical components. Users can toggle these components on or off in the settings to isolate specific market mechanics.
A. Component 1: Bollinger %B (Relative Positioning)
Logic: Measures where the price is located relative to the Bollinger Bands.
Bullish Condition: If %B > 0.5 (Price is operating in the upper hemisphere of the bands).
Bearish Condition: If %B < 0.0 (Price has broken below the lower band).
Purpose: Filters out weak trends by ensuring price is statistically significant relative to its recent volatility.
B. Component 2: CCI (Commodity Channel Index)
Logic: Measures current price levels relative to an average price level over a specific period.
Thresholds: A standard +100 / -100 threshold is used. Values above 100 add to the bullish score; values below -100 add to the bearish score.
Purpose: Identifies cyclical momentum extremes.
f_cci(_len) =>
cci_val = ta.cci(close, _len)
val = 0
if cci_val > 100
val := 1
if cci_val < -100
val := -1
val
C. Component 3: ROC (Rate of Change)
Logic: Calculates the percentage change between the current price and the price n periods ago.
Thresholds: Simple zero-line crossover. Positive ROC implies bullish velocity; negative implies bearish.
Purpose: Provides a raw directional bias based on pure price speed.
D. The Aggregation Engine: The script sums the active signals and divides by the number of active components.
Bullish Trend: Composite Score > 0 (Visualized as Deep Navy).
Bearish/Neutral: Composite Score ≤ 0 (Visualized as White).
E. Multi-Timeframe (MTF) Capability: The indicator includes a request.security module. This allows you to calculate the consensus trend on a higher timeframe (e.g., Daily) while viewing price action on a lower timeframe (e.g., 15-minute), ensuring you are trading in alignment with the macro trend.
// NEW: Timeframe Selection
tf_input = input.timeframe("", "VCE Timeframe", group=grp_sets, tooltip="Empty = Current Chart. Set to 'D' for fixed Daily trend.")
= request.security(syminfo.tickerid, tf_input, , lookahead=barmerge.lookahead_on)
3. Visualizations
The indicator overlays the following elements on the chart:
Trend SMMA: A central Smoothed Moving Average (SMMA 20) representing the mean.
Volatility Bands: Upper and Lower bands calculated at 2 Standard Deviations from the SMMA.
Bar Coloring:
Navy Blue: Indicates a confirmed Volatility Expansion (Bullish Confluence).
White: Indicates Neutrality, Retracement, or Bearish conditions.
Dynamic Fills: The space between the bands fills with color to highlight the strength of the current regime.
4. How to Use
Trend Following: Look for the bar color to switch to Navy. This indicates that momentum, volatility, and velocity have aligned bullishly. This is often an entry trigger for long positions.
Exits: When the bars switch from Navy back to White/Gray, the volatility expansion has ceased or momentum is diverging. This serves as a warning to tighten stops or take profits.
MTF Filter: Set the "VCE Timeframe" input to "D" (Daily). Trade on the H1 chart. Only take long positions when the Daily VCE paints the background/bands in the Bullish color.
5. Settings
Bollinger %B: Adjust Length and Multiplier (Default: 20, 2.0).
CCI: Adjust Length (Default: 23).
ROC: Adjust Length (Default: 50).
Signal Components: Toggle specific logic blocks on/off to customize the sensitivity of the composite score.
VCE Timeframe: Select the resolution for the calculation (Leave empty for current chart).
Disclaimer: This tool is for informational purposes only. Past performance of volatility expansion does not guarantee future results. Always manage risk appropriately. Indicator
Indicator
SuperBands: Smart Pullback StrategyIndicator Name: SuperBands (Smart Pullback Strategy)
1. Core Concept (The Philosophy)
This indicator represents a smart fusion of two powerful trading methodologies: Trend Following and Mean Reversion. Instead of trying to predict market tops or bottoms, it focuses on joining an established trend at a "Discount Price."
In short: "Buy the dips in an Uptrend, and Sell the rallies in a Downtrend."
2. Technical Components
The indicator consists of two main engines working in harmony:
First: The Trend Filter (Supertrend):
Settings: (ATR 20 / Factor 6.0).
Function: Identifies the long-term market direction. The high Factor (6.0) is deliberately used to filter out noise and minor fluctuations, ensuring the trend direction only changes when there is a significant market shift.
Rule: If the line is Green, only Long trades are allowed. If Red, only Short trades are allowed.
Second: The Sniper (Bollinger Bands):
Settings: (Length 20 / StdDev 2.0).
Function: Identifies temporary Overbought and Oversold zones within the trend.
Rule: The Lower Band acts as a "Value Zone" for buying, while the Upper Band acts as a "Premium Zone" for selling.
3. Signal Logic (How it Works)
The indicator scans the market for specific, high-probability conditions:
A. Buy Signal (Green Triangle):
Appears only when both conditions are met:
Trend is Bullish: Supertrend is Green.
Price is "Cheap": Price drops to touch or break the Lower Bollinger Band.
Logic: The general trend is Up, and the price has pulled back to a dynamic support level. This is a buying opportunity.
B. Sell Signal (Red Triangle):
Appears only when both conditions are met:
Trend is Bearish: Supertrend is Red.
Price is "Expensive": Price rises to touch or break the Upper Bollinger Band.
Logic: The general trend is Down, and the price has rallied to a dynamic resistance level. This is a selling opportunity.
4. User Guide (How to Trade It)
To achieve the best results, consider the following approach when a signal appears:
A. Entry:
Enter the trade immediately upon the close of the candle where the triangle appears (or place a pending order slightly above/below the signal candle for confirmation).
B. Stop Loss (SL):
Conservative: Place the SL at the Supertrend line (if this line breaks, the trend is invalid).
Aggressive: Place the SL slightly below the signal candle's low or the most recent Swing Low.
C. Take Profit (TP):
Target 1: The Bollinger Bands Middle Line (Basis/SMA 20).
Target 2: The Opposite Band (Upper Band for Buy signals, Lower Band for Sell signals).
5. Key Strengths & Limitations
Main Advantage: This indicator prevents a common trader mistake: "FOMO" (Fear Of Missing Out). It stops you from buying at the top or selling at the bottom. It psychologically forces you to wait for the price to come to you.
Best Use Case: The wide Supertrend settings make this highly effective for Crypto and Volatile Stocks where trends are strong and pullbacks are deep.
Limitation: In tight, ranging markets (choppy markets), the price might not touch the bands often, or it might generate a signal followed by sideways movement.
Summary for the Trader:
This indicator tells you: "The trend is Up, but don't chase the price... wait for it to drop to the Lower Band, then strike."
اسم المؤشر: SuperBands (Smart Pullback Strategy)
1. الفكرة الأساسية (الفلسفة وراء المؤشر)
هذا المؤشر هو دمج ذكي بين استراتيجيتين شهيرتين: تتبع الاتجاه (Trend Following) و اقتناص الارتدادات (Mean Reversion). هو لا يحاول التنبؤ بقمة أو قاع السوق، بل يحاول الدخول مع الاتجاه العام القوي ولكن من "نقطة سعرية مخفضة" (Discount Price).
باختصار: "اشترِ الانخفاضات في الاتجاه الصاعد، وبع الارتفاعات في الاتجاه الهابط".
2. المكونات التقنية
يتكون المؤشر من جزأين رئيسيين يعملان كفريق واحد:
أولاً: الحارس (Supertrend):
الإعدادات: (ATR 20 / Factor 6.0).
الوظيفة: تحديد الاتجاه العام "طويل المدى". استخدام العامل 6.0 (وهو رقم كبير) يجعل المؤشر يتجاهل التذبذبات الصغيرة ولا يغير لونه إلا إذا تغير الاتجاه الحقيقي للسوق بقوة.
القاعدة: إذا كان الخط أخضر، يُسمح بالشراء فقط. إذا كان أحمر، يُسمح بالبيع فقط.
ثانياً: القناص (Bollinger Bands):
الإعدادات: (Length 20 / StdDev 2.0).
الوظيفة: تحديد مناطق ذروة البيع والشراء المؤقتة (Overbought/Oversold) داخل الاتجاه.
القاعدة: الحد السفلي يعتبر منطقة "رخيصة" للشراء، والحد العلوي منطقة "غالية" للبيع.
3. كيف تتكون الإشارة (آلية العمل)
يقوم المؤشر بمسح السوق بحثاً عن شروط محددة بدقة:
A. إشارة الشراء (المثلث الأخضر):
تظهر فقط عند تحقق الشرطين معاً:
الاتجاه صاعد: السوبر تريند لونه أخضر.
سعر مغري: السعر هبط ليلامس أو يكسر الحد السفلي للبولنجر باند (Lower Band).
المنطق: الاتجاه العام صاعد، والسعر قام بعمل تصحيح (Pullback) لمستوى دعم ديناميكي، إذن هي فرصة للشراء بسعر أفضل.
B. إشارة البيع (المثلث الأحمر):
تظهر فقط عند تحقق الشرطين معاً:
الاتجاه هابط: السوبر تريند لونه أحمر.
سعر مرتفع: السعر صعد ليلامس أو يخترق الحد العلوي للبولنجر باند (Upper Band).
المنطق: الاتجاه العام هابط، والسعر قام بعمل تصحيح صعودي لمقاومة ديناميكية، إذن هي فرصة للبيع من مكان مرتفع.
4. كيفية الاستفادة منه (دليل المستخدم)
لتحقيق أفضل نتائج، يُنصح باتباع الخطوات التالية عند ظهور الإشارة:
أ. نقاط الدخول (Entry):
ادخل الصفقة بمجرد إغلاق الشمعة التي ظهر عليها المثلث (أو ضع أمر معلق فوق/تحت الشمعة لتأكيد الحركة).
ب. وقف الخسارة (Stop Loss):
الخيار الآمن: ضع الوقف عند خط السوبر تريند (لأنه إذا كُسر الخط، يعني أن الاتجاه تغير).
الخيار المغامر: ضع الوقف أسفل قاع الشمعة السابقة بمسافة بسيطة، أو أسفل آخر قاع (Swing Low).
ج. جني الأرباح (Take Profit):
الهدف الأول: خط المنتصف للبولنجر باند (الخط البرتقالي الخفي أو متوسط 20).
الهدف الثاني: الحد المعاكس للبولنجر باند (الحد العلوي في حالة الشراء، والسفلي في حالة البيع).
5. مميزات وعيوب يجب الانتباه لها
الميزة القوية: يمنعك هذا المؤشر من ارتكاب خطأ شائع وهو "الشراء في القمة" أو "البيع في القاع". هو يجبرك نفسياً على انتظار السعر ليأتي إليك في مناطق التصحيح.
نقطة القوة: إعدادات السوبر تريند (6.0) تجعل الإشارات قوية جداً في العملات الرقمية (Crypto) والأسهم ذات الاتجاه الواضح (Trending Markets).
نقطة الضعف: في الأسواق العرضية المملة (Ranging Markets) ذات النطاق الضيق جداً، قد لا تلمس الأسعار حدود البولنجر كثيراً، أو قد يعطي إشارات دخول والسوق لا يتحرك بعدها بقوة.
ملخص للمتداول:
هذا المؤشر يقول لك: "السوق صاعد، لكن لا تطارد السعر.. انتظر حتى يهبط السعر إليك عند الخط السفلي ثم اشترِ". Indicator
Hooke's Law: Market ElasticityHooke's Law: Market Elasticity is a physics-based mean reversion system that models price action using the principles of Classical Mechanics.
Most technical indicators treat the market as a purely statistical entity. This script takes a different approach, treating the market as a physical object with Mass (Volume) and Stiffness (Volatility) . By adapting Hooke’s Law of Elasticity (𝐹=−𝑘𝑋), it visualizes the "Tensile Stress" between price and its equilibrium, identifying the exact moment when a trend becomes unsustainable and must "snap back."
The Physics of Trading
In physics, Hooke's Law states that the force needed to extend a spring is proportional to the distance it is stretched. We map this to financial markets using four key components:
Equilibrium (𝑋=0): The "Resting State" of the market, calculated using a Volume-Weighted Moving Average (VWMA) . This represents the fair value where buyers and sellers agree.
2. Displacement (𝑋): The distance price travels away from this equilibrium.
3. Spring Constant (𝑘): We use Volatility (Standard Deviation) to measure the market's "stiffness."
• Low Volatility: The spring is loose; price can wander far without snapping.
• High Volatility: The spring is stiff; even small deviations create massive tension.
4. Force (𝐹): The calculation is weighted by Relative Volume . A price spike on low volume has low force (easy to reverse), while a spike on high volume carries high momentum (harder to reverse).
Visual Guide & Signals
The indicator uses a hierarchy of visuals to guide you through the trade lifecycle:
1. The Elastic Ribbon (Heatmap)
Connects Price to the Baseline. As the ribbon turns Solid White , the market has reached its Elastic Limit (Critical Zone). This is your warning that a move is overextended.
2. The "Golden" Labels (LONG / SHORT)
These are your Entry Signals . They appear only when the physics "snap" is confirmed by an internal momentum filter and price action.
3. The Small Circles (Minor Reversions)
These dots represent "Minor Snaps." They occur when the elastic tension releases, but the momentum filter hasn't fully confirmed a major reversal.
• Usage: These are excellent Early Warning signs or Scale-In points for aggressive traders.
Strategy: Entries, Exits & Take Profits
This script is designed as a complete system. Here is how to manage the trade using the visual cues:
• Entry: Wait for a LONG or SHORT label to appear.
• Stop Loss: Use the Solid White Line that appears automatically with the signal. If price touches this line, the physics setup has failed—exit immediately.
• Take Profit 1 (The Equilibrium): The Gray Baseline represents the market's center of gravity. In mean reversion trading, price tends to snap back to this line. This is the statistically highest-probability target.
• Take Profit 2 (The Circles): If you are in a trade and a Circle appears in the opposite direction, it indicates the market is experiencing counter-tension. This is an ideal place to secure partial profits or trail your stop.
Settings & Configuration
• Baseline Length (Default: 34): The lookback period for the Center of Gravity.
• Elasticity Limit (Default: 2.618): The Golden Ratio is used as the standard deviation threshold for the "Critical Zone."
• Volume Weighting (Default: True): Recommended. Adds the "Mass" component to the physics calculation.
• Stop Loss Buffer (Default: 0.5): The distance (in Sigma) for the Stop Loss placement.
Risk Disclaimer
Not Financial Advice: This indicator is designed for educational and analytical purposes only. It visualizes market data based on mathematical formulas (Hooke's Law and Statistical Deviation) and does not guarantee future performance or profits.
Market Risks: Financial trading involves significant risk. The "Critical Zones" and "Signals" generated by this script identify statistical extremes, but markets can remain irrational or overextended for long periods ("Plastic Deformation").
Usage: Do not trade blindly based on these signals. Always use this tool in conjunction with your own analysis, risk management, and stop-losses. The author assumes no responsibility for any trading losses incurred while using this script.
Indicator
RSI & BB Oversold Scalper with MACD Confirmation [DotGain]RSI & BB Oversold Scalper with MACD Confirmation
The RSI & BB Oversold Scalper is a mean reversion / dip-buying indicator designed for traders who want to combine oversold conditions with momentum confirmation .
It uses a multi-step logic: first detect an oversold setup, then wait for a MACD confirmation within a defined time window before issuing a buy signal.
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Core Concept
1. Detect an oversold setup using Bollinger Bands %b, RSI and an optional DSS filter
2. Keep the setup active for a limited number of candles
3. Trigger the entry using a MACD bullish crossover
4. Reset after entry to avoid multiple signals from the same setup
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Buy Signal Logic
A buy signal is generated when the following conditions are met:
1. Oversold Setup (filters can be enabled/disabled individually)
• Bollinger Bands %b Oversold (Lookback-based)
The price has traded below the lower Bollinger Band at least once within the last `lookbackBB` candles.
• RSI Oversold (Lookback-based)
The RSI has dropped below 30 at least once within the last `lookbackRSI` candles.
• DSS (Double Smoothed Stochastic) Reversal Filter
A bullish crossover of the DSS line above its signal line while the DSS value is below 20 , indicating a potential momentum reversal from oversold conditions.
Note:
BB %b and RSI are lookback filters , while the DSS condition is a single-bar crossover event .
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2. MACD Confirmation (Entry Timing)
After the setup becomes active, the indicator waits for a bullish MACD crossover (`MACD line crosses above Signal line`) within a user-defined time window (`validWindow` candles).
If the MACD confirmation occurs within this window, a buy signal is printed.
If the window expires without confirmation, the setup is discarded automatically.
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Reset Logic
• After a buy signal, the setup is reset immediately
• Only one signal is allowed per setup
• No late entries after the time window expires
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Inputs & Customization
• Enable or disable BB, RSI and DSS filters individually
• Adjust lookback periods to control how recent oversold conditions must be
• Tune the MACD confirmation window to balance early vs. conservative entries
Smaller windows = faster, more aggressive entries
Larger windows = fewer but more confirmed signals
Recommended Markets & Timeframes
• Cryptocurrencies, Forex, Indices, liquid stocks
• Best suited for 1m – 15m scalping
• Also usable on 15m – 1h for slower mean-reversion trades
Visuals
• Buy signals are displayed as labels below the price candles
Important Notes
• This indicator is a signal and timing tool , not a complete trading system
• Always combine with higher-timeframe trend, support/resistance or volume analysis
• Backtesting and paper trading are strongly recommended
Disclaimer:
This "RSI & BB Oversold Scalper with MACD Confirmation" (Oversold Scalper) indicator is provided for informational and educational purposes only. It does not, and should not be construed as, financial, investment, or trading advice.
The signal generated by this tool (Green) is the result of a specific set of algorithmic conditions. They are not a direct recommendation to buy or sell any asset. The indicator's purpose is to highlight possible weakness in the markets, not to provide infallible trade signals.
All trading and investing in financial markets involves a substantial risk of loss. You can lose all of your invested capital.
Past performance is not indicative of future results. Even an indicator designed to filter out "chop" may produce false, lagging, or losing signals. Markets can remain unpredictable longer than you can remain solvent.
The creator DotGain assumes no liability for any financial losses or damages you may incur, directly or indirectly, as a result of using this indicator or the information it provides.
You are solely responsible for your own trading and investment decisions. Always conduct your own research (DYOR), validate signals with other methods, and consider your personal risk tolerance before entering any trade.
Indicator
KC-BB Squeeze Trend Trader█ OVERVIEW
The KC-BB Squeeze Trend Trader identifies volatility compression and expansion by detecting when Bollinger Bands contract inside Keltner Channels and then release with confirmed momentum. It highlights potential trend-starting breakouts by combining squeeze detection, directional momentum, trend bias, and optional volume filters.
During periods of low volatility, price consolidates and energy builds. When volatility expands again, strong directional moves often follow. This tool helps traders spot those opportunities early with clear visual cues and optional performance tracking.
█ KEY FEATURES
Squeeze detection using Bollinger Bands inside Keltner Channels
Automatic identification of volatility expansion after the squeeze ends
Optional filters for momentum, trend direction, volume, and signal cooldown
Dynamic color fills for squeeze, bullish expansion, bearish expansion, and neutral states
Dashboard showing squeeze duration, tightness, momentum, trend, and volume context
Optional win-rate analytics using ATR-based target and stop evaluation
Multi-timeframe confirmation for higher-quality breakouts
█ HOW IT WORKS
A squeeze occurs when both Bollinger Bands sit inside the Keltner Channels.
A breakout begins when the Bollinger Bands expand outside the KCs.
Long signals appear when squeeze release aligns with bullish momentum and trend strength.
Short signals appear when bearish momentum and trend conditions agree.
Volume and cooldown filters help reduce noise and avoid low-quality entries.
█ HOW TO USE
Wait for a squeeze period (yellow fill).
Monitor duration and tightness: longer/tighter squeezes often lead to stronger moves.
When a long or short signal appears, use the plotted ATR-based target and stop as reference levels.
Watch for contraction or exit hints when momentum fades or volatility narrows again.
Higher timeframes generally provide cleaner and more reliable signals.
█ TIMEFRAME GUIDANCE
Crypto: 4H or 1D; consider increasing KC multiplier for high volatility.
Forex: 1H–4H; longer squeeze duration can improve selectivity.
Stocks: 1D–1W; consider slightly higher BB multiplier on slow-moving markets.
█ SETTINGS SUMMARY
Adjustable Bollinger Band and Keltner Channel lengths and multipliers
Three momentum modes: Linear Regression, Price–SMA, or ROC
Trend and volume filters (optional)
Configurable minimum squeeze duration and signal cooldown
ATR-based target and stop multipliers
Optional historically tight squeeze filter (percentile-based)
█ ALERTS
Squeeze Detected
Squeeze Released
Long Entry
Short Entry
Exit Hint
Historically Tight Squeeze
█ NOTES
ATR-based win-rate calculations provide simplified performance estimates.
Past behavior does not guarantee future movement.
Use position sizing and risk management appropriate for the instrument and timeframe.
█ CREDITS
Inspired by the Bollinger Band and Keltner Channel squeeze concept popularized by John Carter’s TTM Squeeze, with added enhancements for squeeze strength, filtering, and real-time performance metrics. Indicator
Bollinger Band ToolkitBollinger Band Toolkit
An advanced, adaptive Bollinger Band system for traders who want more context, precision, and edge.
This indicator expands on the classic Bollinger Bands by combining statistical and volatility-based methods with modern divergence and squeeze detection tools. It helps identify volatility regimes, potential breakouts, and early momentum shifts — all within one clean overlay.
🔹 Core Features
1. Adaptive Bollinger Bands (σ + ATR)
Classic 20-period bands enhanced with an ATR-based volatility adjustment, making them more responsive to true market movement rather than just price variance.
Reduces “overreacting” during chop and avoids bands collapsing too tightly during trends.
2. %B & RSI Divergence Detection
🟢 Green dots: Positive %B divergence — price makes a lower low, but %B doesn’t confirm (bullish).
🔴 Red dots: Negative %B divergence — price makes a higher high, but %B doesn’t confirm (bearish).
✚ Red/green crosses: RSI divergence confirmation — momentum fails to confirm the price’s new extreme.
These signals highlight potential reversal or slowdown zones that are often invisible to the naked eye.
3. Bollinger Band Squeeze (with Volume Filter)
Yellow squares (■) show periods when Bollinger Bands are at their narrowest relative to recent history.
Volume confirmation ensures the squeeze only triggers when both volatility and participation contract.
Often marks the “calm before the storm” — breakout potential zones.
4. Multi-Timeframe Breakout Markers
Optionally displays breakouts from higher or lower timeframes using different colors/symbols.
Lets you see when a higher timeframe band break aligns with your current chart — a strong trend continuation signal.
5. Dual- and Triple-Band Visualization (±1σ, ±2σ, ±3σ)
Optional inner (±1σ) and outer (±3σ) bands provide a layered volatility map:
Price holding between ±1σ → stable range / mean-reverting behavior
Price riding near ±2σ → trending phase, sustained momentum
Price touching or exceeding ±3σ → volatility expansion or exhaustion zone
This triple-band layout visually distinguishes normal movement from statistical extremes, helping you read when the market is balanced, expanding, or approaching its limits.
⚙️ Inputs & Customization
Choose band type (SMA/EMA/SMMA/WMA/VWMA)
Adjust deviation multiplier (σ) and ATR multiplier
Toggle individual features (divergence dots, squeeze markers, inner bands, etc.)
Multi-timeframe and colour controls for advanced users
🧠 How to Use
Watch for squeeze markers followed by a breakout bar beyond ±2σ → volatility expansion signal.
Combine divergence dots with RSI or price structure to anticipate slowdowns or reversals.
Confirm direction using multi-timeframe breakouts and volume expansion.
💬 Why It Works
This toolkit transforms qualitative chart reading (tight bands, hidden divergence) into quantitative, testable conditions — giving you objective insights that can be backtested, coded, or simply trusted in live setups. Indicator
4H Bollinger Breakout StrategyThis strategy leverages Bollinger Bands on the 4-hour timeframe for long and short trades in trending or ranging markets. Entries trigger on BB breakouts with optional filters for volume, trend, and RSI. Exits occur on opposite BB crosses. Customizable for long-only, short-only, or indicator mode via code comments. Supports forex, stocks, or crypto with full equity allocation and 0.1% commission.
Length (Default: 20): Period for BB basis and std dev; shorter for sensitivity, longer for smoothing.
Basis MA Type (Default: SMA): Selects MA for middle band (SMA, EMA, etc.); EMA for faster response.
Source (Default: Close): Price input for calculations; use close for standard accuracy.
StdDev Multiplier (Default: 1.8): Band width control; higher for fewer signals, lower for more.
Offset (Default: 0): Shifts BB plots; typically unchanged.
Use Filters (Default: True): Applies volume, trend, RSI checks to filter signals.
Volume MA Length (Default: 20): For volume filter (long: >105% avg, short: >120%).
Trend MA Length (Default: 80): SMA for trend filter (long: above MA, short: below).
RSI Length (Default: 14): For short filter (entry if RSI <85).
Use Long/Short Signals (Defaults: True): Toggles directions; long entry on lower BB crossover, short on upper crossunder.
Visuals: BB plots (blue basis, red upper, green lower), orange trend MA, filled background.
Labels/Alerts: Green/red for long entry/exit, yellow/purple for short; alert conditions included. Strategy
Bollinger Bands Entry/Exit ThresholdsBollinger Bands Entry/Exit Thresholds
Author of enhancements: chuckaschultz
Inspired and adapted from the original 'Bollinger Bands Breakout Oscillator' by LuxAlgo
Overview
Pairs nicely with Contrarian 100 MA
The Bollinger Bands Entry/Exit Thresholds is a powerful momentum-based indicator designed to help traders identify potential entry and exit points in trending or breakout markets. By leveraging Bollinger Bands, this indicator quantifies price deviations from the bands to generate bullish and bearish momentum signals, displayed as an oscillator. It includes customizable entry and exit signals based on user-defined thresholds, with visual cues plotted either on the oscillator panel or directly on the price chart.
This indicator is ideal for traders looking to capture breakout opportunities or confirm trend strength, with flexible settings to adapt to various markets and trading styles.
How It Works
The Bollinger Bands Entry/Exit Thresholds calculates two key metrics:
Bullish Momentum (Bull): Measures the extent to which the price exceeds the upper Bollinger Band, expressed as a percentage (0–100).
Bearish Momentum (Bear): Measures the extent to which the price falls below the lower Bollinger Band, also expressed as a percentage (0–100).
The indicator generates:
Long Entry Signals: Triggered when the bearish momentum (bear) crosses below a user-defined Long Threshold (default: 40). This suggests weakening bearish pressure, potentially indicating a reversal or breakout to the upside.
Exit Signals: Triggered when the bullish momentum (bull) crosses below a user-defined Sell Threshold (default: 80), indicating a potential reduction in bullish momentum and a signal to exit long positions.
Signals are visualized as tiny colored dots:
Long Entry: Blue dots, plotted either at the bottom of the oscillator or below the price bar (depending on user settings).
Exit Signal: White dots, plotted either at the top of the oscillator or above the price bar.
Calculation Methodology
Bollinger Bands:
A user-defined Length (default: 14) is used to calculate an Exponential Moving Average (EMA) of the source price (default: close).
Standard deviation is computed over the same length, multiplied by a user-defined Multiplier (default: 1.0).
Upper Band = EMA + (Standard Deviation × Multiplier)
Lower Band = EMA - (Standard Deviation × Multiplier)
Bull and Bear Momentum:
For each bar in the lookback period (length), the indicator calculates:
Bullish Momentum: The sum of positive deviations of the price above the upper band, normalized by the total absolute deviation from the upper band, scaled to a 0–100 range.
Bearish Momentum: The sum of positive deviations of the price below the lower band, normalized by the total absolute deviation from the lower band, scaled to a 0–100 range.
Formula:
bull = (sum of max(price - upper, 0) / sum of abs(price - upper)) * 100
bear = (sum of max(lower - price, 0) / sum of abs(lower - price)) * 100
Signal Generation:
Long Entry: Triggered when bear crosses below the Long Threshold.
Exit: Triggered when bull crosses below the Sell Threshold.
Settings
Length: Lookback period for EMA and standard deviation (default: 14).
Multiplier: Multiplier for standard deviation to adjust Bollinger Band width (default: 1.0).
Source: Input price data (default: close).
Long Threshold: Bearish momentum level below which a long entry signal is generated (default: 40).
Sell Threshold: Bullish momentum level below which an exit signal is generated (default: 80).
Plot Signals on Main Chart: Option to display entry/exit signals on the price chart instead of the oscillator panel (default: false).
Style:
Bullish Color: Color for bullish momentum plot (default: #f23645).
Bearish Color: Color for bearish momentum plot (default: #089981).
Visual Features
Bull and Bear Plots: Displayed as colored lines with gradient fills for visual clarity.
Midline: Horizontal line at 50 for reference.
Threshold Lines: Dashed green line for Long Threshold and dashed red line for Sell Threshold.
Signal Dots:
Long Entry: Tiny blue dots (below price bar or at oscillator bottom).
Exit: Tiny white dots (above price bar or at oscillator top).
How to Use
Add to Chart: Apply the indicator to your PulseWire chart.
Adjust Settings: Customize the Length, Multiplier, Long Threshold, and Sell Threshold to suit your trading strategy.
Interpret Signals:
Enter a long position when a blue dot appears, indicating bearish momentum dropping below the Long Threshold.
Exit the long position when a white dot appears, indicating bullish momentum dropping below the Sell Threshold.
Toggle Plot Location: Enable Plot Signals on Main Chart to display signals on the price chart for easier integration with price action analysis.
Combine with Other Tools: Use alongside other indicators (e.g., trendlines, support/resistance) to confirm signals.
Notes
This indicator is inspired by LuxAlgo’s Bollinger Bands Breakout Oscillator but has been enhanced with customizable entry/exit thresholds and signal plotting options.
Best used in conjunction with other technical analysis tools to filter false signals, especially in choppy or range-bound markets.
Adjust the Multiplier to make the Bollinger Bands wider or narrower, affecting the sensitivity of the momentum calculations.
Disclaimer
This indicator is provided for educational and informational purposes only.
Indicator
OBV with MA & Bollinger Bands by Marius1032OBV with MA & Bollinger Bands by Marius1032
This script adds customizable moving averages and Bollinger Bands to the classic OBV (On Balance Volume) indicator. It helps identify volume-driven momentum and trend strength.
Features:
OBV-based trend tracking
Optional smoothing: SMA, EMA, RMA, WMA, VWMA
Optional Bollinger Bands with SMA
Potential Combinations and Trading Strategies:
Breakouts: Look for price breakouts from the Bollinger Bands, and confirm with a rising OBV for an uptrend or falling OBV for a downtrend.
Trend Reversals: When the price touches a Bollinger Band, examine the OBV for divergence. A bullish divergence (price lower low, OBV higher low) near the lower band could signal a reversal.
Volume Confirmation: Use OBV to confirm the strength of the trend indicated by Bollinger Bands. For example, if the BBs indicate an uptrend and OBV is also rising, it reinforces the bullish signal.
1. On-Balance Volume (OBV):
Purpose: OBV is a momentum indicator that uses volume flow to predict price movements.
Calculation: Volume is added on up days and subtracted on down days.
Interpretation: Rising OBV suggests potential upward price movement. Falling OBV suggests potential lower prices.
Divergence: Divergence between OBV and price can signal potential trend reversals.
2. Moving Average (MA):
Purpose: Moving Averages smooth price fluctuations and help identify trends.
Combination with OBV: Pairing OBV with MAs helps confirm trends and identify potential reversals. A crossover of the OBV line and its MA can signal a trend reversal or continuation.
3. Bollinger Bands (BB):
Purpose: BBs measure market volatility and help identify potential breakouts and trend reversals.
Structure: They consist of a moving average (typically 20-period) and two standard deviation bands.
Combination with OBV: Combining BBs with OBV allows for a multifaceted approach to market analysis. For example, a stock hitting the lower BB with a rising OBV could indicate accumulation and a potential upward reversal.
Created by: Marius1032 Indicator
Indicator
RSI - 5UP Overview
The "RSI - 5UP" indicator is a versatile tool that enhances the traditional Relative Strength Index (RSI) by adding smoothing options, Bollinger Bands, and divergence detection. It provides a clear visual representation of RSI levels with customizable bands and optional moving averages, helping traders identify overbought/oversold conditions and potential trend reversals through divergence signals.
Features
Customizable RSI: Adjust the RSI length and source to fit your trading style.
Overbought/Oversold Bands: Visualizes RSI levels with intuitive color-coded bands (red for overbought at 70, white for neutral at 50, green for oversold at 30).
Smoothing Options: Apply various types of moving averages (SMA, EMA, SMMA, WMA, VWMA) to the RSI, with optional Bollinger Bands for volatility analysis.
Divergence Detection: Identifies regular bullish and bearish divergences, with visual labels ("Bull" for bullish, "Bear" for bearish) and alerts.
G radient Fills: Highlights overbought and oversold zones with gradient fills (green for overbought, red for oversold).
How to Use
1. Add to Chart: Apply the "RSI - 5UP" indicator to any chart. It works well on timeframes from 5 minutes to daily.
2. Configure Settings:
RSI Settings:
RSI Length: Adjust the period for RSI calculation (default: 14).
Source: Choose the price source for RSI (default: close).
Calculate Divergence: Enable to detect bullish/bearish divergences (default: disabled).
Smoothing:
Type: Select the type of moving average to smooth the RSI ("None", "SMA", "SMA + Bollinger Bands", "EMA", "SMMA (RMA)", "WMA", "VWMA"; default: "SMA").
Length: Set the period for the moving average (default: 14).
BB StdDev: If "SMA + Bollinger Bands" is selected, adjust the standard deviation multiplier for the bands (default: 2.0).
3.Interpret the Indicator:
RSI Levels: The RSI line (purple) oscillates between 0 and 100. Levels above 70 (red band) indicate overbought conditions, while levels below 30 (green band) indicate oversold conditions. The 50 level (white band) is neutral.
Gradient Fills: The background gradients (green above 70, red below 30) highlight overbought and oversold zones for quick reference.
Moving Average (MA): If enabled, a yellow MA line smooths the RSI. If "SMA + Bollinger Bands" is selected, green bands appear around the MA to show volatility.
Divergences: If "Calculate Divergence" is enabled, look for "Bull" (green label) and "Bear" (red label) signals:
Bullish Divergence: Indicates a potential upward reversal when the price makes a lower low, but the RSI makes a higher low.
Bearish Divergence: Indicates a potential downward reversal when the price makes a higher high, but the RSI makes a lower high.
4. Set Alerts:
Use the "Regular Bullish Divergence" and "Regular Bearish Divergence" alert conditions to be notified when a divergence is detected.
Notes
The indicator does not provide direct buy/sell signals. Use the RSI levels, moving averages, and divergence signals as part of a broader trading strategy.
Divergence detection requires the "Calculate Divergence" option to be enabled and may not work on all timeframes or assets due to market noise.
The Bollinger Bands are only visible when "SMA + Bollinger Bands" is selected as the smoothing type.
Credits
Developed by Marrulk. Enjoy trading with RSI - 5UP! 🚀 Indicator
E9 Bollinger RangeThe E9 Bollinger Range is a technical trading tool that leverages Bollinger Bands to track volatility and price deviations, along with additional trend filtering via EMAs.
The script visually enhances price action with a combination of trend-filtering EMAs, bar colouring for trend direction, signals to indicate potential buy and sell points based on price extension and engulfing patterns.
Here’s a breakdown of its key components:
Bollinger Bands: The strategy plots multiple Bollinger Band deviations to create different price levels. The furthest deviation bands act as warning signs for traders when price extends significantly, signaling potential overbought or oversold conditions.
Bar Colouring: Visual bar colouring is applied to clearly indicate trend direction: green bars for an uptrend and red bars for a downtrend.
EMA Filtering: Two EMAs (50 and 200) are used to help filter out false signals, giving traders a better sense of the underlying trend.
This combination of signals, visual elements, and trend filtering provides traders with a systematic approach to identifying price deviations and taking advantage of market corrections.
Brief History of Bollinger Bands
Bollinger Bands were developed by John Bollinger in the early 1980s as a tool to measure price volatility in financial markets. The bands consist of a moving average (typically 20 periods) with upper and lower bands placed two standard deviations away. These bands expand and contract based on market volatility, offering traders a visual representation of price extremes and potential reversal zones.
John Bollinger’s work revolutionized technical analysis by incorporating volatility into trend detection. His bands remain widely used across markets, including stocks, commodities, and cryptocurrencies. With the ability to highlight overbought and oversold conditions, Bollinger Bands have become a staple in many trading strategies. Indicator
Bollinger Bands Enhanced StrategyOverview
The common practice of using Bollinger bands is to use it for building mean reversion or squeeze momentum strategies. In the current script Bollinger Bands Enhanced Strategy we are trying to combine the strengths of both strategies types. It utilizes Bollinger Bands indicator to buy the local dip and activates trailing profit system after reaching the user given number of Average True Ranges (ATR). Also it uses 200 period EMA to filter trades only in the direction of a trend. Strategy can execute only long trades.
Unique Features
Trailing Profit System: Strategy uses user given number of ATR to activate trailing take profit. If price has already reached the trailing profit activation level, scrip will close long trade if price closes below Bollinger Bands middle line.
Configurable Trading Periods: Users can tailor the strategy to specific market windows, adapting to different market conditions.
Major Trend Filter: Strategy utilizes 100 period EMA to take trades only in the direction of a trend.
Flexible Risk Management: Users can choose number of ATR as a stop loss (by default = 1.75) for trades. This is flexible approach because ATR is recalculated on every candle, therefore stop-loss readjusted to the current volatility.
Methodology
First of all, script checks if currently price is above the 200-period exponential moving average EMA. EMA is used to establish the current trend. Script will take long trades on if this filtering system showing us the uptrend. Then the strategy executes the long trade if candle’s low below the lower Bollinger band. To calculate the middle Bollinger line, we use the standard 20-period simple moving average (SMA), lower band is calculated by the substruction from middle line the standard deviation multiplied by user given value (by default = 2).
When long trade executed, script places stop-loss at the price level below the entry price by user defined number of ATR (by default = 1.75). This stop-loss level recalculates at every candle while trade is open according to the current candle ATR value. Also strategy set the trailing profit activation level at the price above the position average price by user given number of ATR (by default = 2.25). It is also recalculated every candle according to ATR value. When price hit this level script plotted the triangle with the label “Strong Uptrend” and start trail the price at the middle Bollinger line. It also started to be plotted as a green line.
When price close below this trailing level script closes the long trade and search for the next trade opportunity.
Risk Management
The strategy employs a combined and flexible approach to risk management:
It allows positions to ride the trend as long as the price continues to move favorably, aiming to capture significant price movements. It features a user-defined ATR stop loss parameter to mitigate risks based on individual risk tolerance. By default, this stop-loss is set to a 1.75*ATR drop from the entry point, but it can be adjusted according to the trader's preferences.
There is no fixed take profit, but strategy allows user to define user the ATR trailing profit activation parameter. By default, this stop-loss is set to a 2.25*ATR growth from the entry point, but it can be adjusted according to the trader's preferences.
Justification of Methodology
This strategy leverages Bollinger bangs indicator to open long trades in the local dips. If price reached the lower band there is a high probability of bounce. Here is an issue: during the strong downtrend price can constantly goes down without any significant correction. That’s why we decided to use 200-period EMA as a trend filter to increase the probability of opening long trades during major uptrend only.
Usually, Bollinger Bands indicator is using for mean reversion or breakout strategies. Both of them have the disadvantages. The mean reversion buys the dip, but closes on the return to some mean value. Therefore, it usually misses the major trend moves. The breakout strategies usually have the issue with too high buy price because to have the breakout confirmation price shall break some price level. Therefore, in such strategies traders need to set the large stop-loss, which decreases potential reward to risk ratio.
In this strategy we are trying to combine the best features of both types of strategies. Script utilizes ate ATR to setup the stop-loss and trailing profit activation levels. ATR takes into account the current volatility. Therefore, when we setup stop-loss with the user-given number of ATR we increase the probability to decrease the number of false stop outs. The trailing profit concept is trying to add the beat feature from breakout strategies and increase probability to stay in trade while uptrend is developing. When price hit the trailing profit activation level, script started to trail the price with middle line if Bollinger bands indicator. Only when candle closes below the middle line script closes the long trade.
Backtest Results
Operating window: Date range of backtests is 2020.10.01 - 2024.07.01. It is chosen to let the strategy to close all opened positions.
Commission and Slippage: Includes a standard Binance commission of 0.1% and accounts for possible slippage over 5 ticks.
Initial capital: 10000 USDT
Percent of capital used in every trade: 30%
Maximum Single Position Loss: -9.78%
Maximum Single Profit: +25.62%
Net Profit: +6778.11 USDT (+67.78%)
Total Trades: 111 (48.65% win rate)
Profit Factor: 2.065
Maximum Accumulated Loss: 853.56 USDT (-6.60%)
Average Profit per Trade: 61.06 USDT (+1.62%)
Average Trade Duration: 76 hours
These results are obtained with realistic parameters representing trading conditions observed at major exchanges such as Binance and with realistic trading portfolio usage parameters.
How to Use
Add the script to favorites for easy access.
Apply to the desired timeframe and chart (optimal performance observed on 4h BTC/USDT).
Configure settings using the dropdown choice list in the built-in menu.
Set up alerts to automate strategy positions through web hook with the text: {{strategy.order.alert_message}}
Disclaimer:
Educational and informational tool reflecting Skyrex commitment to informed trading. Past performance does not guarantee future results. Test strategies in a simulated environment before live implementation
Strategy
Johnny's Adjusted BB Buy/Sell Signal"Johnny's Adjusted BB Buy/Sell Signal" leverages Bollinger Bands and moving averages to provide dynamic buy and sell signals based on market conditions. This indicator is particularly useful for traders looking to identify strategic entry and exit points based on volatility and trend analysis.
How It Works
Bollinger Bands Setup: The indicator calculates Bollinger Bands using a specified length and multiplier. These bands serve to identify potential overbought (upper band) or oversold (lower band) conditions.
Moving Averages: Two moving averages are calculated — a trend moving average (trendMA) and a long-term moving average (longTermMA) — to gauge the market's direction over different time frames.
Market Phase Determination: The script classifies the market into bullish or bearish phases based on the relationship of the closing price to the long-term moving average.
Strong Buy and Sell Signals: Enhanced signals are generated based on how significantly the price deviates from the Bollinger Bands, coupled with the average candle size over a specified lookback period. The signals are adjusted based on whether the market is bullish or bearish:
In bullish markets, a strong buy signal is triggered if the price significantly drops below the lower Bollinger Band. Conversely, a strong sell signal is activated when the price rises well above the upper band.
In bearish markets, these signals are modified to be more conservative, adjusting the thresholds for triggering strong buy and sell signals.
Features:
Flexibility: Users can adjust the length of the Bollinger Bands and moving averages, as well as the multipliers and factors that determine the strength of buy and sell signals, making it highly customizable to different trading styles and market conditions.
Visual Aids: The script vividly plots the Bollinger Bands and moving averages, and signals are visually represented on the chart, allowing traders to quickly assess trading opportunities:
Regular buy and sell signals are indicated by simple shapes below or above price bars.
Strong buy and sell signals are highlighted with distinctive colors and placed prominently to catch the trader's attention.
Background Coloring: The background color changes based on the market phase, providing an immediate visual cue of the market's overall sentiment.
Usage:
This indicator is ideal for traders who rely on technical analysis to guide their trading decisions. By integrating both Bollinger Bands and moving averages, it provides a multi-faceted view of market trends and volatility, making it suitable for identifying potential reversals and continuation patterns. Traders can use this tool to enhance their understanding of market dynamics and refine their trading strategies accordingly. Indicator
