Staggered Exponential PullbacksIndicator Description: Staggered Exponential Pullbacks (Final)
Core Concept
This indicator is designed to dynamically track and visualize price pullbacks from a recent high. It serves as an intelligent alert system and a tool for visualizing potential support levels that follow a predefined, non-linear logic.
Instead of a fixed percentage interval, the indicator calculates the levels based on a fixed, exponentially increasing sequence of percentages. The distance between the levels increases as the price falls further. This models a strategy where larger price movements are tolerated as a pullback deepens before the next signal level is reached. The basis for this calculation is always the highest close of the last x candles.
Key Features
This indicator goes far beyond a simple calculation, offering a range of intelligent features for professional use:
Cascading, Fixed Levels: The levels are based on a fixed sequence of percentage distances (3.0%, 3.6%, 4.3%, etc.), where each new level is calculated from the previous level.
Persistent Support Levels ("Floors"): Once an alert level is breached, it transforms into a fixed support line ("floor"). This line will never move down, even if the market high subsequently drops.
Automatic Upward Adjustment: Established floors are automatically pulled upwards when the market shows new strength and makes higher highs. A once-reached -3% floor will therefore rise with the market.
Intelligent, Self-Cleaning Reset Logic: The indicator recognizes when a pullback sequence has ended and a new one has begun. "Ghost lines" from old, irrelevant price movements are automatically removed from the chart to ensure maximum clarity.
Cascade-Proof Alerts: Even during extremely fast sell-offs that break through multiple levels in a single candle, the indicator correctly captures every single level breach.
Customizable Visualization: All key parameters, such as the lookback period and the colors of the lines, can be easily adjusted in the settings.
Visual Elements on the Chart
The Orange Line (Highest Close): This is the reference line. It always shows the highest closing price within the defined lookback period and has a step-line shape.
The 'Floor' Lines (Default: Yellow): These are solid lines that indicate which percentage levels have already been breached in the current sequence. They function as established support levels.
The 'Next Due' Line (Default: Purple): This is a step-line that displays the next expected alert level. It moves dynamically with the calculation. As soon as the price crosses this line, an alert is triggered, and it transforms into a yellow "Floor" line.
Settings (Inputs)
Number of Candles (Lookback): Defines how many past candles are used to determine the highest closing price.
Displayed Alert Levels (Max 10): Determines the maximum number of levels the indicator will calculate and display.
Color of Floors: Allows you to freely choose the color for the solid, established support lines.
Color of Next Due Line: Allows you to freely choose the color for the next, untriggered alert line.
Setting Up Alerts (Important!)
Since the indicator uses dynamic alert messages, the alert must be set up as follows:
Add the indicator to the chart.
Click the clock icon ("Alert") in the top toolbar.
In the "Condition" field, select the name of this indicator: Staggered Exponential Pullbacks.
In the second dropdown menu, you must select the option "Any alert() function call".
Message: The message box can be left empty. The indicator automatically generates a detailed message (e.g., "Price Alert: Level 2 (3.6%) reached!").
Click "Create".
You only need one single alert to cover all 10 levels.
Important Disclaimer: Not Financial Advice
This indicator is purely a technical analysis tool for visualizing price movements. The displayed lines and triggered alerts do not constitute buy or sell recommendations and are not a form of financial or investment advice. They serve for informational and analytical purposes only.
Trading decisions based on the information from this indicator are made solely at your own risk and responsibility. The author and developer of this script assume no liability for any trading losses. Always conduct your own comprehensive analysis and, if necessary, consult a qualified financial advisor before making any trading decisions.
Bantlar ve Kanallar
Adaptive Rolling Quantile Bands [CHE] Adaptive Rolling Quantile Bands
Part 1 — Mathematics and Algorithmic Design
Purpose. The indicator estimates distribution‐aware price levels from a rolling window and turns them into dynamic “buy” and “sell” bands. It can work on raw price or on *residuals* around a baseline to better isolate deviations from trend. Optionally, the percentile parameter $q$ adapts to volatility via ATR so the bands widen in turbulent regimes and tighten in calm ones. A compact, latched state machine converts these statistical levels into high-quality discretionary signals.
Data pipeline.
1. Choose a source (default `close`; MTF optional via `request.security`).
2. Optionally compute a baseline (`SMA` or `EMA`) of length $L$.
3. Build the *working series*: raw price if residual mode is off; otherwise price minus baseline (if a baseline exists).
4. Maintain a FIFO buffer of the last $N$ values (window length). All quantiles are computed on this buffer.
5. Map the resulting levels back to price space if residual mode is on (i.e., add back the baseline).
6. Smooth levels with a short EMA for readability.
Rolling quantiles.
Given the buffer $X_{t-N+1..t}$ and a percentile $q\in $, the indicator sorts a copy of the buffer ascending and linearly interpolates between adjacent ranks to estimate:
* Buy band $\approx Q(q)$
* Sell band $\approx Q(1-q)$
* Median $Q(0.5)$, plus optional deciles $Q(0.10)$ and $Q(0.90)$
Quantiles are robust to outliers relative to means. The estimator uses only data up to the current bar’s value in the buffer; there is no look-ahead.
Residual transform (optional).
In residual mode, quantiles are computed on $X^{res}_t = \text{price}_t - \text{baseline}_t$. This centers the distribution and often yields more stationary tails. After computing $Q(\cdot)$ on residuals, levels are transformed back to price space by adding the baseline. If `Baseline = None`, residual mode simply falls back to raw price.
Volatility-adaptive percentile.
Let $\text{ATR}_{14}(t)$ be current ATR and $\overline{\text{ATR}}_{100}(t)$ its long SMA. Define a volatility ratio $r = \text{ATR}_{14}/\overline{\text{ATR}}_{100}$. The effective quantile is:
Smoothing.
Each level is optionally smoothed by an EMA of length $k$ for cleaner visuals. This smoothing does not change the underlying quantile logic; it only stabilizes plots and signals.
Latched state machines.
Two three-step processes convert levels into “latched” signals that only fire after confirmation and then reset:
* BUY latch:
(1) HLC3 crosses above the median →
(2) the median is rising →
(3) HLC3 prints above the upper (orange) band → BUY latched.
* SELL latch:
(1) HLC3 crosses below the median →
(2) the median is falling →
(3) HLC3 prints below the lower (teal) band → SELL latched.
Labels are drawn on the latch bar, with a FIFO cap to limit clutter. Alerts are available for both the simple band interactions and the latched events. Use “Once per bar close” to avoid intrabar churn.
MTF behavior and repainting.
MTF sourcing uses `lookahead_off`. Quantiles and baselines are computed from completed data only; however, any *intrabar* cross conditions naturally stabilize at close. As with all real-time indicators, values can update during a live bar; prefer bar-close alerts for reliability.
Complexity and parameters.
Each bar sorts a copy of the $N$-length window (practical $N$ values keep this inexpensive). Typical choices: $N=50$–$100$, $q_0=0.15$–$0.25$, $k=2$–$5$, baseline length $L=20$ (if used), adaptation strength $s=0.2$–$0.7$.
Part 2 — Practical Use for Discretionary/Active Traders
What the bands mean in practice.
The teal “buy” band marks the lower tail of the recent distribution; the orange “sell” band marks the upper tail. The median is your dynamic equilibrium. In residual mode, these tails are deviations around trend; in raw mode they are absolute price percentiles. When ATR adaptation is on, tails breathe with regime shifts.
Two core playbooks.
1. Mean-reversion around a stable median.
* Context: The median is flat or gently sloped; band width is relatively tight; instrument is ranging.
* Entry (long): Look for price to probe or close below the buy band and then reclaim it, especially after HLC3 recrosses the median and the median turns up.
* Stops: Place beyond the most recent swing low or $1.0–1.5\times$ ATR(14) below entry.
* Targets: First scale at the median; optional second scale near the opposite band. Trail with the median or an ATR stop.
* Symmetry: Mirror the rules for shorts near the sell band when the median is flat to down.
2. Continuation with latched confirmations.
* Context: A developing trend where you want fewer but cleaner signals.
* Entry (long): Take the latched BUY (3-step confirmation) on close, or on the next bar if you require bar-close validation.
* Invalidation: A close back below the median (or below the lower band in strong trends) negates momentum.
* Exits: Trail under the median for conservative exits or under the teal band for trend-following exits. Consider scaling at structure (prior swing highs) or at a fixed $R$ multiple.
Parameter guidance by timeframe.
* Scalping / LTF (1–5m): $N=30$–$60$, $q_0=0.20$, $k=2$–3, residual mode on, baseline EMA $L=20$, adaptation $s=0.5$–0.7 to handle micro-vol spikes. Expect more signals; rely on latched logic to filter noise.
* Intraday swing (15–60m): $N=60$–$100$, $q_0=0.15$–0.20, $k=3$–4. Residual mode helps but is optional if the instrument trends cleanly. $s=0.3$–0.6.
* Swing / HTF (4H–D): $N=80$–$150$, $q_0=0.10$–0.18, $k=3$–5. Consider `SMA` baseline for smoother residuals and moderate adaptation $s=0.2$–0.4.
Baseline choice.
Use EMA for responsiveness (fast trend shifts) and SMA for stability (smoother residuals). Turning residual mode on is advantageous when price exhibits persistent drift; turning it off is useful when you explicitly want absolute bands.
How to time entries.
Prefer bar-close validation for both band recaptures and latched signals. If you must act intrabar, accept that crosses can “un-cross” before close; compensate with tighter stops or reduced size.
Risk management.
Position size to a fixed fractional risk per trade (e.g., 0.5–1.0% of equity). Define invalidation using structure (swing points) plus ATR. Avoid chasing when distance to the opposite band is small; reward-to-risk degrades rapidly once you are deep inside the distribution.
Combos and filters.
* Pair with a higher-timeframe median slope as a regime filter (trade only in the direction of the HTF median).
* Use band width relative to ATR as a range/trend gauge: unusually narrow bands suggest compression (mean-reversion bias); expanding bands suggest breakout potential (favor latched continuation).
* Volume or session filters (e.g., avoid illiquid hours) can materially improve execution.
Alerts for discretion.
Enable “Cross above Buy Level” / “Cross below Sell Level” for early notices and “Latched BUY/SELL” for conviction entries. Set alerts to “Once per bar close” to avoid noise.
Common pitfalls.
Do not interpret band touches as automatic signals; context matters. A strong trend will often ride the far band (“band walking”) and punish counter-trend fades—use the median slope and latched logic to separate trend from range. Do not oversmooth levels; you will lag breaks. Do not set $q$ too small or too large; extremes reduce statistical meaning and practical distance for stops.
A concise checklist.
1. Is the median flat (range) or sloped (trend)?
2. Is band width expanding or contracting vs ATR?
3. Are we near the tail level aligned with the intended trade?
4. For continuation: did the 3 steps for a latched signal complete?
5. Do stops and targets produce acceptable $R$ (≥1.5–2.0)?
6. Are you trading during liquid hours for the instrument?
Summary. ARQB provides statistically grounded, regime-aware bands and a disciplined, latched confirmation engine. Use the bands as objective context, the median as your equilibrium line, ATR adaptation to stay calibrated across regimes, and the latched logic to time higher-quality discretionary entries.
Disclaimer
No indicator guarantees profits. Adaptive Rolling Quantile Bands 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
Anchored Grids ft. VolumeINTRO
The 'Volume Profile' is a great tool, isn’t it? It shows us where volume has accumulated on the chart and helps guide trading decisions. The only catch is that we can’t really choose the levels—it’s all based on where volume happens to cluster. But what if we reversed the logic and measured the volume at the levels we define? That’s exactly what this script does, giving you a fresh way to spot support and resistance :)
OVERVIEW
'Anchored Grids ft. Volume' is a sophisticated technical analysis tool that combines price grid analysis with volume accumulation metrics. This indicator dynamically calculates and displays custom support and resistance levels based on a user-defined timeframe, while simultaneously tracking and visualizing volume accumulation at each specific price level. Unlike traditional volume profile indicators that use complex statistical clustering, this tool provides straightforward volume measurement at predetermined technical levels. It answers a critical question: "How much trading activity occurred near the key price levels I care about?".
HOW DOES THIS INDICATOR WORK?
This indicator builds a customizable grid system anchored to the opening price of any user-selected timeframe (hourly, daily, weekly, etc.). From that anchor point, it continuously tracks the highest high and lowest low, then calculates equidistant grid levels within that range. Two calculation modes are available—Arithmetic and Geometric—allowing flexibility in how the levels are distributed.
Once the grid is established, a volume accumulation engine comes into play. For each price bar, the script checks whether the bar’s range intersects with any level’s tolerance zone (default 0.01%). If a touch is detected, that bar’s volume is added to the corresponding level. Over time, this process builds a clear picture of where significant trading activity has clustered.
The visualization system highlights these dynamics by applying a color gradient based on volume intensity and adjusting line thickness proportional to accumulated volume. Each level is also labeled with four key data points:
The grid number (in square brackets)
The price of the level
The percentage distance between the level and the opening price of the selected timeframe
The total volume accumulated within the level’s tolerance range
PARAMETERS
Timeframe: Defines the anchor period for grid calculation. Then, the indicator automatically determines the open, high, and low prices.
Mode: This option determines how the distance between levels is calculated: Arithmetic (linear) means equal price spacing between levels, while Geometric (logarithmic) means equal percentage spacing between levels.
Grids: It's the number of levels between high and low.
Color: Base color for grid lines and labels. When volume data is displayed, lower values are darkened by 50%.
Show Volume Accumulation: When this parameter is activated, the volume calculation is enabled.
Tolerance : The Tolerance parameter (default range: 0.01%) defines the price range around each grid level where volume accumulation is registered. It acts as a sensitivity control that determines how close price must be to a level to count trading volume toward that level's accumulation.
ORIGINALITY
It’s possible to find comprehensive grid-drawing tools among community indicators, but I haven’t come across an example that combines this concept with volume data. More importantly, I wanted to demonstrate how volume accumulation can be generated for any data modeled as an array on the chart by developers.
SUMMARY
In conclusion, the selected timeframe and the number of grids are only used as a reference to determine where the levels are drawn. The true value of this indicator lies in its ability to calculate volume accumulation directly from the chart’s own candles, showing how much trading activity occurred around each level. The result is a hybrid framework that merges structural price analysis with volume distribution, offering traders deeper insights into where markets are likely to react.
NOTE
While powerful, this tool should be used as part of a comprehensive trading strategy rather than as a standalone system. Always combine with risk management principles and market context awareness. I hope it helps everyone. Trade as safely as possible. Best of luck!
Bull Market Support Bands (20W SMA & 21W EMA)This indicator plots the 20-week Simple Moving Average (SMA) and the 21-week Exponential Moving Average (EMA), together forming the Bull Market Support Bands (BMSB).
Fully compatible with any chart; values are calculated using the weekly timeframe, even if applied on daily charts.
Adjustable band transparency in settings.
Includes optional alerts when EMA crosses above/below SMA.
TNP/BB Trend IndicatorThis indicator identifies trend shifts on the 1H timeframe by combining trigger candle patterns with daily support/resistance zones. It helps traders align lower-timeframe entries with higher-timeframe context.
🔹 Core Logic
Daily Zones
Uses the daily chart to mark bullish zones (support) and bearish zones (resistance).
A valid trend signal only occurs when price action aligns with these zones.
Trigger Candles (1H)
TNP (Triple Negative/Positive Price): A structured 3-bar pattern indicating strong directional intent.
BB (Big Body Candle): A wide-range candle with significant body size compared to recent volatility, signaling momentum.
Trend Confirmation
A Bullish Trend is signaled when a bullish trigger forms inside a daily bullish zone.
A Bearish Trend is signaled when a bearish trigger forms inside a daily bearish zone.
Signals are plotted with arrows on the chart, and the current trend state (Bullish / Bearish / Neutral) is displayed live.
S&R ZonesThis indicator automatically detects swing highs and swing lows on the chart using a 3-bar swing structure. Once a swing point is confirmed, it evaluates the price movement and body size of subsequent candles. If the movement meets a volume-based range condition (2.5× the average body size of the last 5 candles), the indicator creates a zone around that swing.
Swing High Zones: Drawn from the highest price of the swing cluster down to its midpoint.
Swing Low Zones: Drawn from the lowest price of the swing cluster up to its midpoint.
These zones act as dynamic support and resistance levels and remain on the chart until they are either:
Broken (price closes beyond the zone), or
Expired (more than 200 bars old).
Zones are color-coded for clarity:
🔴 Red shaded areas = Swing High resistance zones.
🟢 Green shaded areas = Swing Low support zones.
This makes the indicator useful for identifying high-probability reversal areas, liquidity zones, and supply/demand imbalances that persist until invalidated.
EMA Range OscillatorEMA Range Oscillator (ERO) - User Guide
Overview
The EMA Range Oscillator (ERO) is a technical indicator that measures the distance between two Exponential Moving Averages (EMAs) and the distance between price and EMA. It normalizes these distances into a 0-100 range, helping traders identify trend strength, market momentum, and potential reversal points.
Components
Main Line
Green Line: EMA20 > EMA50 (Uptrend)
Red Line: EMA20 < EMA50 (Downtrend)
Histogram
White Histogram: Price distance from EMA20
Key Levels
Upper Level (80): High divergence zone
Middle Level (50): Neutral zone
Lower Level (20): Low divergence zone
Parameters
ParameterDefaultDescriptionFast EMA20Short-term EMA periodSlow EMA50Long-term EMA periodNormalization Period100Lookback period for scalingUpper80Upper threshold levelLower20Lower threshold level
How to Read the Indicator
High Values (Above 80)
Strong trend in progress
EMAs are widely separated
High momentum
Potential overbought/oversold conditions
Watch for possible trend exhaustion
Low Values (Below 20)
Consolidation phase
EMAs are close together
Low volatility
Potential breakout setup
Range-bound market conditions
Middle Zone (20-80)
Normal market conditions
Moderate trend strength
Balanced momentum
Look for directional clues from color changes
CM Indicator About Indicator:-
1) This is best Indicator for trend identification.
2) This is based on 42 EMA with Upper Band and Lower bands for trend identification.
3) This should be used for Line Bar chart only.
4) Line bar chart should be used at 1 hour for 15 line breaks.
How to Use:-
1) To go with trend is best use of this indicator.
2) This is for stocks and options not for index. Indicator used for Stocks at one hour and options for 10-15 minutes line break.
3) There will be 5% profitability defined for each entry, 3 entries with profit are best posible in same continuous trend 4 and 5th entry is in riskier zone in continuous trend.
4) Loss will only happen if there is trend reversal.
5) Loss could only be one trade of profit out of three profitable trades.
6) Back tested on 200 stocks and 100 options.
Price Heat Meter [ChartPrime]⯁ OVERVIEW
Price Heat Meter visualizes where price sits inside its recent range and turns that into an intuitive “temperature” read. Using rolling extremes, candles fade from ❄️ aqua (cold) near the lower bound to 🔥 red (hot) near the upper bound. The tool also trails recent extreme levels, tags unusually persistent extremes with a % “heat” label, and shows a bottom gauge (0–100%) with a live arrow so you can read market heat at a glance.
⯁ KEY FEATURES
Rolling Heat Map (0–100%):
The script measures where the close sits between the current Lowest Low and Highest High over the chosen Length (default 50).
Candles use a two-stage gradient: aqua → yellow (0–50%), then yellow → red (50–100%). This makes “how stretched are we?” instantly visible.
Dynamic Extremes with Time Decay:
When a new rolling High or Low is set, the script starts a faint horizontal trail at that price. Each bar that passes without a new extreme increases a counter; the line’s color gradually fades over time and fully disappears after ~100 bars, keeping the chart clean.
Persistent-Extreme Tags (Reversal Hints):
If an extreme persists for 40 bars (i.e., price hasn’t reclaimed or surpassed it), the tool stamps the original extreme pivot with its recorded Heat% at the moment the extreme formed.
• Upper extremes print a red % label (possible exhaustion/resistance context).
• Lower extremes print an aqua % label (possible exhaustion/support context).
Bottom Heat Gauge (0–100% Scale):
A compact, gradient bar renders at the bottom center showing the current Heat% with an arrow/label. ❄️ anchors the left (0%), 🔥 anchors the right (100%). The arrow adopts the same candle heat color for consistency.
Minimal Inputs, Clear Theme:
• Length (lookback window for H/L)
• Heat Color set (Cold / Mid / Hot)
The defaults give a balanced, legible gradient on most assets/timeframes.
Signal Hygiene by Design:
The meter doesn’t “call” reversals. Instead, it contextualizes price within its range and highlights the aging of extremes. That keeps it robust across regimes and assets, and ideal as a confluence layer with your existing triggers.
⯁ HOW IT WORKS (UNDER THE HOOD)
Range Model:
H = Highest(High, Length), L = Lowest(Low, Length). Heat% = 100 × (Close − L) / (H − L).
Extreme Tracking & Fade:
When High == H , we record/update the current upper extreme; same for Low == L on the lower side. If the extreme doesn’t change on the next bar, a counter increments and the plotted line’s opacity shifts along a 0→100 fade scale (visual decay).
40-Bar Persistence Labels:
On the bar after the extreme forms, the code stores the bar_index and the contemporaneous Heat% . If the extreme survives 40 bars, it places a % label at the original pivot price and index—flagging levels that were meaningfully “tested by time.”
Unified Color Logic:
Both candles and the gauge use the same two-stage gradient (Cold→Mid, then Mid→Hot), so your eye reads “heat” consistently across all elements.
⯁ USAGE
Treat >80% as “hot” and <20% as “cold” context; combine with your trigger (e.g., structure, OB, div, breakouts) instead of acting on heat alone.
Watch persistent extreme labels (40-bar marks) as reference zones for reaction or liquidity grabs.
Use the fading extreme lines as a memory map of where price last stretched—levels that slowly matter less as they decay.
Tighten Length for intraday sensitivity or increase it for swing stability.
⯁ WHY IT’S UNIQUE
Rather than another oscillator, Price Heat Meter translates simple market geometry (rolling extremes) into a readable temperature layer with time-aware extremes and a synchronized gauge . You get a continuously updated sense of stretch, persistence, and potential reversal context—without clutter or overfitting.
Trading Advice By RajTrading Advice Strategy
This strategy is based on a simple moving average crossover system using the 50 EMA and the 200 EMA.
Buy Signal (Long): When the 50 EMA crosses above the 200 EMA, a bullish trend is detected and a BUY signal is generated.
Sell Signal (Short): When the 200 EMA crosses above the 50 EMA, a bearish trend is detected and a SELL signal is generated.
EMA lines are hidden on the chart for a clean look. Only BUY and SELL signals are shown as labels.
Suitable for trend-following traders who want clear entry signals without noise.
Can be combined with risk management tools like Stop Loss & Take Profit for better results. youtube.com BINANCE:BTCUSDT
1H Cross into Daily Bollinger UpperIndicator to spot volatility in a ticker.
The price moving above indicates a potential breakout and can be observed in such manner.
christophrobert MMA'sThe market moves in waves of momentum and trends, often leaving traders guessing where the true peaks and bottoms lie. The Multiple Moving Average Indicator is designed to cut through that noise. By layering multiple moving averages into a ribbon indicator, this tool makes it easy to spot shifts in momentum, highlight potential market tops and bottoms, and visualize the strength of a trend at a glance.
Whether you’re looking for the best times to buy, sell, or simply confirm the strength of a move, this indicator provides a clear framework to guide your decisions.
Alt Season vs USDT Flow DashboardWhat the script tells you (the signals)
It builds four “alt vs stables” lenses and colors the background when they agree.
ALT ex-ETH / STABLES (TOTAL3 / (USDT+USDC+DAI))
Think: “How much alt cap per $1 of dry-powder stables?”
Bullish when price is above its 200-day SMA and rising → risk appetite expanding toward smaller alts.
ALT Share of Risk-On ((TOTAL − STABLES − BTC − ETH) / (TOTAL − STABLES))
Of the non-stable crypto pie, how much is flowing to ex-BTC/ETH alts?
Uptrend = broadening alt participation (late-early to mid alt-season behavior).
Dominance Spread ((TOTAL3 / TOTAL) − (STABLES / TOTAL))
Alts’ share minus stables’ share.
Widening spread means stables are being converted into alts (not just into BTC).
Flow Ratio ROC(TOTAL3, N) / ROC(STABLES, N) (default N=30 days)
Compares alts’ growth rate to stable supply growth.
> 1 and sustained → alts expanding faster than new “dry powder” is appearing.
The background color (“regime”)
Green (ALT-on) when all three conditions align:
ALT/Stable > its SMA
Dominance Spread > its SMA
Flow Ratio > 1
Red (ALT-off) when the opposite holds.
No color = mixed/chop.
How to read it (quick playbook)
Early alt-season tell:
BTC.D starts to slip, total market cap (TOTAL) rising.
ALT/Stable breaks above its 200-SMA and stays there.
Dominance Spread climbs (alts gaining share, stables losing share).
Flow Ratio > 1 for a few weeks.
Maturing phase: ALT Share of Risk-On rises (money broadens from ETH/L1s → mid/small caps).
Exhaustion/false start: Flow Ratio dips < 1 or ALT/Stable loses the 200-SMA while BTC.D stabilizes or rises.
Practical tips
Timeframes: Make calls on 1D. Use 1W to avoid whipsaw; use 4H only for entries once the 1D regime is green.
Smoothing: If you see noisy spikes from market-cap revisions, add a light smoother (e.g., 7D SMA on the plotted lines).
Parameters:
Try ROC length 21–45 days.
Try SMA 150–250 days (200 is a good middle).
Confluence: Keep BTC.D and ETH.D in another pane. Best alt windows: BTC.D trending down, ETH.D flat-to-up initially, then ETH.D flattens as TOTAL3 momentum spreads to mid/small caps.
Risk checks: If USDT.D/USDC.D (stable dominance) spike up while your signals are green, that’s a caution flag (capital retreating to stables).
Estrategy EURUSD M3 Scalping Estrategia para operar el EURUSD en temp de 3 min, indica sl y tp 6 pips sl y 10 pips tp
VWAP Filtrado con TendenciaThis indicator combines the classic VWAP with a trend EMA filtered by the TDFI oscillator to confirm market direction.
- VWAP is displayed in white as the fair value reference.
- The trend EMA dynamically changes color according to market condition: green (uptrend), red (downtrend), orange (range).
- Candles highlight in blue when a bullish VWAP crossover is confirmed, and in fuchsia when a bearish crossover is confirmed.
- Includes adjustable thresholds and a cooldown filter to reduce noise and improve reliability.
This approach allows traders to identify not only the relative position to VWAP but also the strength and clarity of the trend, enhancing decision-making across all timeframes.
Previous High/Low Range (D,W,M,Q)Previous High/Low Range (D, W, M, Q)
This indicator displays the previous period’s high, low, and midpoint levels across multiple timeframes: Daily, Weekly, Monthly, and Quarterly. It extends these key price levels into the future, allowing traders to quickly identify important support and resistance zones based on historical price action.
Features:
Shows previous Daily, Weekly, Monthly, and Quarterly highs, lows, and midpoints.
Optionally extends these levels forward for easy visualization.
Configurable colors and visibility for each timeframe.
Includes optional midpoint lines at 50% between high and low to identify equilibrium points.
Supports logarithmic scale calculations for midpoints to maintain accuracy on log charts.
Optional labels that display exact price values for each level.
Designed to help traders recognize key levels for entries, exits, and risk management.
Use this indicator to gain a multi-timeframe perspective on significant price ranges and anticipate potential reversal or breakout zones.
AJForex Sessions + Killzones (Boxes)use timeline UTC -4 AJForex Sessions + Killzones (Boxes)AJForex Sessions + Killzones (Boxes)AJForex Sessions + Killzones (Boxes)AJForex Sessions + Killzones (Boxes)AJForex Sessions + Killzones (Boxes)AJForex Sessions + Killzones (Boxes)AJForex Sessions + Killzones (Boxes)AJForex Sessions + Killzones (Boxes)AJForex Sessions + Killzones (Boxes)
Simple Liquidity Zones [Supertrade]🔎 What this indicator does
This indicator is designed to highlight liquidity sweep zones on the chart.
• A liquidity sweep occurs when price briefly breaks above a recent swing high or below a recent swing low, but fails to close beyond it.
• Such behavior often indicates that price has taken liquidity (stop orders resting above highs or below lows) and may reverse.
The indicator marks these events as bullish or bearish liquidity zones:
• Bullish Zone (green) → Price swept a swing low and closed back above it (possible bullish reversal area).
• Bearish Zone (red) → Price swept a swing high and closed back below it (possible bearish reversal area).
These zones are drawn as shaded horizontal bands that extend forward in time, providing visual areas where liquidity grabs occurred.
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⚙️ How calculations are made
The indicator does not use moving averages or smoothing.
Instead, it works with raw price action:
1. Swing Detection → It checks the highest high and lowest low of the past N bars (swing length).
2. Sweep Logic →
o A bearish sweep happens if the high breaks above the previous swing high, but the close returns below that level.
o A bullish sweep happens if the low breaks below the previous swing low, but the close returns above that level.
3. Zone Creation → When a sweep is detected, a shaded zone is drawn just above/below the swing level.
4. Persistence → Zones extend into the future until replaced by new ones (or optionally until price fully trades through them).
This makes the calculations simple, transparent, and responsive to actual market structure without lag.
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📈 How it helps traders
This tool helps traders by:
• Visualizing liquidity areas → Shows where price previously swept liquidity and may act as support/resistance.
• Identifying reversals → Helps spot potential turning points after liquidity grabs.
• Risk management → Zones highlight areas where stops may be targeted, useful for positioning stop-loss orders.
• Confluence tool → Works best when combined with other strategies such as order blocks, trendlines, or volume analysis.
⚠️ Note: Like all indicators, this should not be used in isolation. It provides context, not guaranteed trade signals.
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🏦 Markets & Timeframes
• Works across all markets (crypto, forex, stocks, indices, commodities).
• Particularly effective in high-liquidity environments where stop-hunting is common (e.g., forex majors, BTC/ETH, S&P500).
• Timeframes:
o Lower timeframes (1m–15m) → Scalpers can spot intraday liquidity sweeps.
o Higher timeframes (1H–1D) → Swing traders can identify major liquidity pools.
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Twin Range Filter StrategyClarity Over Confusion: See price action through a全新的 lens. Watch as erratic, choppy movements are smoothed into a clear, actionable trajectory. The path of least resistance becomes obvious.
Confidence Over Hesitation: Receive high-probability entry and exit signals with a proven logic that waits for the market to commit before you do. No more second-guessing.
Discipline Over Emotion: Our algorithm enforces a systematic approach, helping you avoid emotional FOMO chasing and panic selling. Stick to the plan and execute with precision.
What Can You Expect?
Dynamic Adaptability: Unlike static indicators, continuously adapts to volatility. It widens its filter in turbulent markets to avoid whipsaws and tightens it in trending markets to capture more of the move.
The Power of Two: By synthesizing data from two distinct market perspectives, it confirms strength and filters out weakness, providing a confluence that standalone indicators simply cannot match.
Clean, Unambiguous Signals: We’ve eliminated the clutter. The software provides clear visual alerts (Green Arrows for Long, Red Arrows for Short) right on your chart, telling you exactly when the equilibrium has shifted.
Who is this for?
Swing Traders looking to capture the heart of a trend and avoid false breakouts.
Day Traders needing a reliable filter to navigate volatile intraday action.
Systematic Traders seeking a robust logic layer to add to their automated strategy.
Anyone overwhelmed by indicator overload and craving a single, trusted source of truth on their chart
Script_Algo - ORB Strategy with Filters🔍 Core Concept: This strategy combines three powerful technical analysis tools: Range Breakout, the SuperTrend indicator, and a volume filter. Additionally, it features precise customization of the number of candles used to construct the breakout range, enabling optimized performance for specific assets.
🎯 How It Works:
The strategy defines a trading range at the beginning of the trading session based on a selected number of candles.
It waits for a breakout above the upper or below the lower boundary of this range, requiring a candle close.
It filters signals using the SuperTrend indicator for trend confirmation.
It utilizes trading volume to filter out false breakouts.
⚡ Strategy Features
📈 Entry Points:
Long: Candle close above the upper range boundary + SuperTrend confirmation
Short: Candle close below the lower range boundary + SuperTrend confirmation
🛡️ Risk Management:
Stop-Loss: Set at the opposite range boundary.
Take-Profit: Calculated based on a risk/reward ratio (3:1 by default).
Position Size: 10 contracts (configurable).
⚠️ IMPORTANT SETTINGS
🕐 Time Parameters:
Set the correct time and time zone!
❕ATTENTION: The strategy works ONLY with correct time settings! Set the time corresponding to your location and trading session.
📊 This strategy is optimized for trading TESLA stock!
Parameters are tailored to TESLA's volatility, and trading volumes are adequate for signal filtering. Trading time corresponds to the American session.
📈 If you look at the backtesting results, you can see that the strategy could potentially have generated about 70 percent profit on Tesla stock over six months on 5m timeframe. However, this does not guarantee that results will be repeated in the future; remain vigilant.
⚠️ For other assets, the following is required:
Testing and parameter optimization
Adjustment of time intervals and the number of candles forming the range
Calibration of stop-loss and take-profit levels
⚠️ Limitations and Drawbacks
🔗 Automation Constraints:
❌ Cannot be directly connected via Webhook to CFD brokers!
Additional IT solutions are required for automation, thus only manual trading based on signals is possible.
📉 Risk Management:
Do not risk more than 2-3% of your account per trade.
Test on historical data before live use.
Start with a demo account.
💪 Strategy Advantages
✅ Combined approach – multiple signal filters
✅ Clear entry and exit rules
✅ Visual signals on the chart
✅ Volume-based false breakout filtering
✅ Automatic position management
🎯 Usage Recommendations
Always test the strategy on historical data.
Start with small trading volumes.
Ensure time settings are correct.
Adapt parameters to current market volatility.
Use only for stocks – futures and Forex require adaptation.
📚 Suitable Timeframes - M1-M15
Only highly liquid stocks
🍀 I wish all subscribers good luck in trading and steady profits!
📈 May your charts move in the right direction!
⚠️ Remember: Trading involves risk. Do not invest money you cannot afford to lose!
Fibonacci Zone + EMA RibbonThis script combines two well-known concepts into a single indicator: the Fibonacci Zone and the EMA Ribbon.
The Fibonacci Zone highlights potential support and resistance levels derived from recent price ranges, helping traders identify key breakout or reversal areas.
The EMA Ribbon overlays multiple exponential moving averages, providing a clear visual representation of market trend and momentum.
Together, these two tools allow traders to assess both dynamic support/resistance and trend direction at a glance, making it easier to spot confluence zones and high-probability trading opportunities.
This indicator can be effectively applied on shorter timeframes such as 5m, 15m, or 30m for active trading.
For additional confirmation of medium- to long-term trend direction, it is recommended to complement it with the 20-period SMA from the 4H timeframe.
MA20 Crossover Strategy with Threshold and Color ChangeMột chiến lược cơ bản dựa trên EMA20. Giá cắt lên MA20 hay EMA20 thi báo mua và ngược lại
