ZenAlgo - ADXThis open-source indicator builds upon the official Average Directional Index (ADX) implementation by TradingView. It preserves the core logic of the original ADX while introducing additional visualization features, configurability, and analytical overlays to assist with directional strength analysis.
Core Calculation
The script computes the ADX, +DI, and -DI based on smoothed directional movement and true range over a user-defined length. The smoothing is performed using Wilder’s method, as in the original implementation.
True Range is calculated from the current high, low, and previous close.
Directional Movement components (+DM, -DM) are derived by comparing the change in highs and lows between consecutive bars.
These values are then smoothed, and the +DI and -DI are expressed as percentages of the smoothed True Range.
The difference between +DI and -DI is normalized to derive DX, which is further smoothed to yield the ADX value.
The indicator includes a selectable signal line (SMA or EMA) applied to the ADX for crossover-based visualization.
Visualization Enhancements
Several plots and conditions have been added to improve interpretability:
Color-coded histograms and lines visualize DI relative to a configurable threshold (default: 25). Colors follow the ZenAlgo color scheme.
Dynamic opacity and gradient coloring are used for both ADX and DI components, allowing users to distinguish weak/moderate/strong directional trends visually.
Mirrored ADX is internally calculated for certain overlays but not directly plotted.
The script also provides small circles and diamonds to highlight:
Crossovers between ADX and its signal line.
DI crossing above or below the 25 threshold.
Rising ADX confirmed by rising DI values, with point size reflecting ADX strength.
Divergence Detection
The indicator includes optional detection of fractal-based divergences on the DI curve:
Regular and hidden bullish and bearish divergences are identified based on relative fractal highs/lows in both price and DI.
Detected divergences are optionally labeled with 'R' (Regular) or 'H' (Hidden), and color-coded accordingly.
Fractal points are defined using 5-bar patterns to ensure consistency and reduce false positives.
ADX/DI Table
When enabled, a floating table displays live values and summaries:
ADX value , trend direction (rising/falling), and qualitative strength.
DI composite , trend direction, and relative strength.
Contextual power dynamics , describing whether bulls or bears are gaining or losing strength.
The background colors of the table reflect current trend strength and direction.
Interpretation Guidelines
ADX indicates the strength of a trend, regardless of its direction. Values below 20 are often considered weak, while those above 40 suggest strong trending conditions.
+DI and -DI represent bullish and bearish directional movements, respectively. Crossovers between them are used to infer trend direction.
When ADX is rising and either +DI or -DI is dominant and increasing, the trend is likely strengthening.
Divergences between DI and price may suggest potential reversals but should be interpreted cautiously and not in isolation.
The threshold line (default 25) provides a basic filter for ignoring low-strength conditions. This can be adjusted depending on the market or timeframe.
Added Value over Existing Indicators
Fully color-graded ADX and DI display for better visual clarity.
Optional signal MA over ADX with crossover markers.
Rich contextual labeling for both divergence and threshold events.
Power dynamics commentary and live table help users contextualize current momentum.
Customizable options for smoothing type, divergence display, table position, and visual offsets.
These additions aim to improve situational awareness without altering the fundamental meaning of ADX/DI values.
Limitations and Disclaimers
As with any ADX-based tool, this indicator does not indicate market direction alone —it measures strength, not trend bias.
Divergence detection relies on fractal patterns and may lag or produce false positives in sideways markets.
Signal MA crossovers and DI threshold breaks are not entry signals , but contextual markers that may assist with timing or filtering other systems.
The table text and labels are for visual assistance and do not replace proper technical analysis or market context.
M-oscillator
Divergence TridentA Combination of MACD + VFI + WaveTrend
Tradingview hates me and is making me explain this in greater detail so maybe this is enough????
Reversal Radar
**Reversal Radar - Multi-Indicator Confirmation System**
This script combines five proven technical analysis methods into a unified reversal signal, reducing false signals through multi-indicator confirmation.
**INDICATORS USED:**
1. ADX/Directional Movement System
Determines trend direction via +DI and -DI comparison. Signal only during downtrend condition (DI- > DI+). Filters out sideways markets.
2. Custom Linear Regression Momentum
Proprietary momentum calculation based on linear regression. Measures price deviation from Keltner Channel midline. Signal on negative but rising momentum (beginning trend reversal).
3. Williams VIX Fix (WVF)
Identifies panic-selling phases. Calculates relative distance to recent high. Signal when exceeding Bollinger Bands or historical percentiles.
4. RSI Oversold Filter
Default RSI < 35 (adjustable 30-40). Filters only oversold zones for reversal setups.
5. MACD Confirmation
Signal only when MACD below zero line and below signal line. Confirms ongoing weakness before potential reversal.
**FUNCTIONALITY:**
The system generates a BUY signal only when ALL activated filters are simultaneously met. Each indicator can be individually enabled/disabled. Flexible parameter adjustment for different markets/timeframes. Reduces false signals through multi-confirmation.
**APPLICATION:**
Suitable for swing trading on higher timeframes (4H, Daily), reversal strategies in oversold markets, and combination with additional confirmation indicators.
Setup: Activate desired filters, adjust parameters to market/timeframe, check BUY signal as entry opportunity. Additional confirmation through volume/support recommended.
**INNOVATION:**
The Custom Linear Regression Momentum is a proprietary development combining Keltner Channel logic with linear regression for more precise momentum detection than standard oscillators.
**DISCLAIMER:**
This tool serves as technical analysis support. No signal should be traded without additional confirmation and risk management.
Mayfair Reversal Change✅ Mayfair Reversal Change — By EastWave Capital
Description:
The Mayfair Reversal Change indicator is a tool designed to help traders identify potential market turning points using Stochastic Oscillator behavior and filtered price action logic. It acts as a reversal signal filter and is particularly effective when the market is overextended (overbought/oversold) and about to revert from exhaustion zones.
🔍 How It Works:
This script monitors the Stochastic %K and %D crossovers and adds a custom logic layer to filter only high-quality reversal points:
Stochastic Filter Conditions:
Uses smoothed stochastic settings:
%K smoothing = 3
%D smoothing = 3
Only shows signals after %K crosses back below 80 (for Sell) or above 20 (for Buy)
This prevents signals from appearing too early during an active overbought or oversold phase.
Directional Confirmation Logic:
Bullish signal is printed only when %K re-enters below 20 after a confirmed stochastic crossover.
Bearish signal appears only when %K re-enters above 80.
This reduces false signals that occur during continued trending moves.
Toggle Switch:
A user-toggle input is included to enable or disable the reversal filter logic.
This gives flexibility for traders who want to test signals with or without the stochastic condition.
📈 How to Use:
Timeframes: Recommended for 5M, 15M, and 30M
Markets: Compatible with any market — FX, Gold, Indices, Crypto
Entry Approach:
Wait for signal after price has reached a potential extreme area.
Confirm with chart structure, support/resistance, or SMC zone.
Enter on confirmation, placing stop loss beyond the swing high/low.
Combine with trendline breaks or price imbalances (FVG) for extra confluence.
Can be used in combination with the Mayfair FX Scalper script for dual-layer confirmation.
⚠️ Important Notes:
Signals are visual only and should be confirmed with proper strategy.
This indicator does not execute or manage trades automatically.
Designed to assist with reversal setups but should not be used in isolation.
Always manage risk, use SL/TP, and avoid over-leveraging.
Mayfair Fx Scalper✅ Mayfair FX Scalper — By EastWave Capital
The Mayfair FX Scalper is a precision-focused, closed-source indicator designed for short-term intraday trading, particularly scalping on lower timeframes such as 1-minute, 3-minute, and 5-minute charts. This tool is developed by EastWave Capital and is based on a combination of Relative Strength Index (RSI) extremes and specific candlestick structure patterns to detect potential exhaustion and reversal points in the market.
🔍 How It Works:
The algorithm operates by evaluating three core elements:
RSI Extremes:
RSI is calculated using default settings.
Buy signals are considered only when the RSI on the previous candle is below 22 (oversold), and the current candle is bullish, while the previous one was bearish.
Sell signals are considered when the RSI on the previous candle is above 78 (overbought), and the current candle is bearish, while the previous one was bullish.
Candle Confirmation Logic:
The system waits for candle confirmation (e.g., shift in bullish/bearish structure) rather than triggering signals based on RSI alone.
This avoids false triggers in strong trends and filters weak entries.
SL/TP Estimation (Visual):
While not automatically placing orders, the indicator can optionally display lines or small labels showing a Stop Loss at the previous swing high/low (±0.5) and TP levels at 1R, 2R, and 3R based on that stop.
These visual aids help traders plan risk/reward and exits manually.
📈 How to Use:
Timeframes: Best suited for 1M, 3M, and 5M charts
Markets: Works well on Gold (XAU/USD), Forex majors, Indices, and Crypto
Session: Performs best during high volatility sessions (London & NY)
Use Case:
Wait for a signal label to appear after a clear momentum move.
Confirm price action and trend context.
Use provided visual SL/TP labels or apply your manual RR planning.
Combine with structure breaks, FVG zones, or liquidity sweeps for confluence.
⚠️ Important Notes:
This indicator does not repaint.
No automatic trades are executed. Signals are visual.
Not intended for use in isolation; best when combined with proper trade management and confirmation tools.
Past performance does not guarantee future results. Always manage risk appropriately
Time-Decaying Percentile Oscillator [BackQuant]Time-Decaying Percentile Oscillator
1. Big-picture idea
Traditional percentile or stochastic oscillators treat every bar in the look-back window as equally important. That is fine when markets are slow, but if volatility regime changes quickly yesterday’s print should matter more than last month’s. The Time-Decaying Percentile Oscillator attempts to fix that blind spot by assigning an adjustable weight to every past price before it is ranked. The result is a percentile score that “breathes” with market tempo much faster to flag new extremes yet still smooth enough to ignore random noise.
2. What the script actually does
Build a weight curve
• You pick a look-back length (default 28 bars).
• You decide whether weights fall Linearly , Exponentially , by Power-law or Logarithmically .
• A decay factor (lower = faster fade) shapes how quickly the oldest price loses influence.
• The array is normalised so all weights still sum to 1.
Rank prices by weighted mass
• Every close in the window is paired with its weight.
• The pairs are sorted from low to high.
• The cumulative weight is walked until it equals your chosen percentile level (default 50 = median).
• That price becomes the Time-Decayed Percentile .
Find dispersion with robust statistics
• Instead of a fragile standard deviation the script measures weighted Median-Absolute-Deviation about the new percentile.
• You multiply that deviation by the Deviation Multiplier slider (default 1.0) to get a non-parametric volatility band.
Build an adaptive channel
• Upper band = percentile + (multiplier × deviation)
• Lower band = percentile – (multiplier × deviation)
Normalise into a 0-100 oscillator
• The current close is mapped inside that band:
0 = lower band, 50 = centre, 100 = upper band.
• If the channel squeezes, tiny moves still travel the full scale; if volatility explodes, it automatically widens.
Optional smoothing
• A second-stage moving average (EMA, SMA, DEMA, TEMA, etc.) tames the jitter.
• Length 22 EMA by default—change it to tune reaction speed.
Threshold logic
• Upper Threshold 70 and Lower Threshold 30 separate standard overbought/oversold states.
• Extreme bands 85 and 15 paint background heat when aggressive fade or breakout trades might trigger.
Divergence engine
• Looks back twenty bars.
• Flags Bullish divergence when price makes a lower low but oscillator refuses to confirm (value < 40).
• Flags Bearish divergence when price prints a higher high but oscillator stalls (value > 60).
3. Component walk-through
• Source – Any price series. Close by default, switch to typical price or custom OHLC4 for futures spreads.
• Look-back Period – How many bars to rank. Short = faster, long = slower.
• Base Percentile Level – 50 shows relative position around the median; set to 25 / 75 for quartile tracking or 90 / 10 for extreme tails.
• Deviation Multiplier – Higher values widen the dynamic channel, lowering whipsaw but delaying signals.
• Decay Settings
– Type decides the curve shape. Exponential (default 1.16) mimics EMA logic.
– Factor < 1 shrinks influence faster; > 1 spreads influence flatter.
– Toggle Enable Time Decay off to compare with classic equal-weight stochastic.
• Smoothing Block – Choose one of seven MA flavours plus length.
• Thresholds – Overbought / Oversold / Extreme levels. Push them out when working on very mean-reverting assets like FX; pull them in for trend monsters like crypto.
• Display toggles – Show or hide threshold lines, extreme filler zones, bar colouring, divergence labels.
• Colours – Bullish green, bearish red, neutral grey. Every gradient step is automatically blended to generate a heat map across the 0-100 range.
4. How to read the chart
• Oscillator creeping above 70 = market auctioning near the top of its adaptive range.
• Fast poke above 85 with no follow-through = exhaustion fade candidate.
• Slow grind that lives above 70 for many bars = valid bullish trend, not a fade.
• Cross back through 50 shows balance has shifted; treat it like a micro trend change.
• Divergence arrows add extra confidence when you already see two-bar reversal candles at range extremes.
• Background shading (semi-transparent red / green) warns of extreme states and throttles your position size.
5. Practical trading playbook
Mean-reversion scalps
1. Wait for oscillator to reach your desired OB/ OS levels
2. Check the slope of the smoothing MA—if it is flattening the squeeze is mature.
3. Look for a one- or two-bar reversal pattern.
4. Enter against the move; first target = midline 50, second target = opposite threshold.
5. Stop loss just beyond the extreme band.
Trend continuation pullbacks
1. Identify a clean directional trend on the price chart.
2. During the trend, TDP will oscillate between midline and extreme of that side.
3. Buy dips when oscillator hits OS levels, and the same for OB levels & shorting
4. Exit when oscillator re-tags the same-side extreme or prints divergence.
Volatility regime filter
• Use the Enable Time Decay switch as a regime test.
• If equal-weight oscillator and decayed oscillator diverge widely, market is entering a new volatility regime—tighten stops and trade smaller.
Divergence confirmation for other indicators
• Pair TDP divergence arrows with MACD histogram or RSI to filter false positives.
• The weighted nature means TDP often spots divergence a bar or two earlier than standard RSI.
Swing breakout strategy
1. During consolidation, band width compresses and oscillator oscillates around 50.
2. Watch for sudden expansion where oscillator blasts through extreme bands and stays pinned.
3. Enter with momentum in breakout direction; trail stop behind upper or lower band as it re-expands.
6. Customising decay mathematics
Linear – Each older bar loses the same fixed amount of influence. Intuitive and stable; good for slow swing charts.
Exponential – Influence halves every “decay factor” steps. Mirrors EMA thinking and is fastest to react.
Power-law – Mid-history bars keep more authority than exponential but oldest data still fades. Handy for commodities where seasonality matters.
Logarithmic – The gentlest curve; weight drops sharply at first then levels off. Mimics how traders remember dramatic moves for weeks but forget ordinary noise quickly.
Turn decay off to verify the tool’s added value; most users never switch back.
7. Alert catalogue
• TD Overbought / TD Oversold – Cross of regular thresholds.
• TD Extreme OB / OS – Breach of danger zones.
• TD Bullish / Bearish Divergence – High-probability reversal watch.
• TD Midline Cross – Momentum shift that often precedes a window where trend-following systems perform.
8. Visual hygiene tips
• If you already plot price on a dark background pick Bullish Color and Bearish Color default; change to pastel tones for light themes.
• Hide threshold lines after you memorise the zones to declutter scalping layouts.
• Overlay mode set to false so the oscillator lives in its own panel; keep height about 30 % of screen for best resolution.
9. Final notes
Time-Decaying Percentile Oscillator marries robust statistical ranking, adaptive dispersion and decay-aware weighting into a simple oscillator. It respects both recent order-flow shocks and historical context, offers granular control over responsiveness and ships with divergence and alert plumbing out of the box. Bolt it onto your price action framework, trend-following system or volatility mean-reversion playbook and see how much sooner it recognises genuine extremes compared to legacy oscillators.
Backtest thoroughly, experiment with decay curves on each asset class and remember: in trading, timing beats timidity but patience beats impulse. May this tool help you find that edge.
Moving Average Shift [Quantora]Title: Moving Average Shift
Description:
The Moving Average Shift is a dynamic technical analysis tool designed to help traders better visualize trend strength and direction using a combination of customizable moving averages and a volatility-adjusted oscillator.
🔧 Features:
Multi-Type Moving Average Selection
Choose from SMA, EMA, SMMA (RMA), WMA, and VWMA for your main signal line.
ZLSMA Trio
Three Zero-Lag Smoothed Moving Averages (ZLSMA) with adjustable lengths and colors provide a smoother trend-following structure without the delay of traditional MAs.
EMA Ribbon (50/100/200)
Add clarity to long-term trend direction with layered Exponential Moving Averages in key institutional periods.
Volatility-Adjusted Oscillator
A color-changing oscillator calculated from the normalized deviation between price and the selected MA. This helps identify trend shifts and momentum buildups.
Custom MA Line Widths and Styling
Full control over the width and appearance of all MA lines for visual clarity.
Bar & Candle Coloring
Bars and candles dynamically change color based on the relationship between price and the selected MA — helping you quickly assess bullish/bearish conditions.
📈 How It Helps:
Spot early trend shifts through the oscillator.
Confirm trades using the alignment between ZLSMAs and EMAs.
Quickly assess current trend conditions using color-coded price bars.
[iQ]PRO Quantum LagMan+ PRO Quantum LagMan+ (QLM+) — A Fusion Oscillator for Regime-Aware Entries
Overview
PRO Quantum LagMan+ is a next‑generation oscillator built for precision timing in dynamic markets. It blends advanced signal processing (multi-mode Laguerre smoothing) with physics-inspired analytics (Tsallis entropy, Hurst exponent, Lyapunov dynamics, and a tunneling probability model) to create a single fusion signal designed to adapt across regimes. The result is an actionable, regime-aware oscillator with adaptive thresholds, quantum energy band context, volatility gating, and optional trend filtering—complete with alerts, signal markers, and an information panel.
What it does
Normalizes momentum: Converts a Laguerre-based oscillator to a stable 0–1 scale for clear, cross-market comparability.
Maps “quantum” states: Assigns the oscillator to discrete energy bands to estimate state transitions and momentum intensity.
Fuses chaos and structure: Blends oscillator intensity, quantum momentum, and measured complexity/entropy into a single fusion line.
Filters by regime: Volatility and trend filters aim to suppress low-quality signals in quiet or unfavorable conditions.
Generates clean signals: Adaptive long/short thresholds with cooldown logic and coherence checks to reduce noise.
Explains itself: An info table displays fusion value, band index, entropy and chaos metrics, tunneling probability, and filter status.
Core components
Laguerre Multi-Mode Engine
Function: and1lag computes an ultimate smoother (ult), optional blended Laguerre filters, and a robust z-scored oscillator.
Control: period, lag, lagmode , RMSP add flexibility across timeframes and instruments.
Quantum Engine
Quantum Energy Levels: Discrete “bands” derived from normalized oscillator statistics.
Quantum Momentum: A 0–1 measure based on the current band position to capture intensity of state.
Coherence: Proximity between the oscillator and its active band (higher coherence = higher confidence).
Tunneling Probability: A barrier-like model that estimates the probability of a transition through local resistance/support structure.
Advanced Physics Layer (optional, heavy CPU)
Tsallis Entropy: A generalized entropy measure; elevated values can correspond to more complex or uncertain dynamics.
Lyapunov Exponent: A proxy for local sensitivity to initial conditions; higher values suggest chaotic/unstable behavior.
Hurst Exponent: A measure of persistence vs. mean reversion (H > 0.5 persistent, H < 0.5 mean-reverting).
These terms are summarized for trader context; the script uses bounded, practical implementations tuned for charting.
Fusion Oscillator
Composition: 50% normalized oscillator + 25% quantum momentum + 25% chaos/entropy blend.
Range: Constrained to for intuitive thresholds and consistent interpretation.
Regime Filters and Signals
Trend Filter: trendEMA with configurable trendLen to align signals with primary direction.
Volatility Filter: ATR-based gating with atrMultMin/atrMultMax bands, focusing on tradable volatility.
Adaptive Thresholds: Dynamic long/short thresholds scale with observed volatility.
Cooldown: signalCooldownBars limits rapid-fire signals to reduce whipsaw.
Alerts: Built-in alertcondition for automated notifications.
Visuals and UI
Main plots:
Fusion (thick, color-changing by state)
Norm Laguerre Osc (baseline momentum)
Quantum Momentum (band-based intensity)
Chaos Resonance (entropy/chaos contribution)
Bands and zones:
Quantum band visualization for context
Entropy zones via background shading (high/low extremes)
Info Table (showInfoTable):
Fusion, Quantum Band index, Hurst, Tsallis, Lyapunov, Tunneling Probability, Coherence, Volatility OK
Signal Markers:
Long: triangle up at bottoms
Short: triangle down at tops
Suggested usage
Entries:
Long bias when Fusion rises from low zones toward midline with high coherence, tunnel probability above threshold, trend filter positive, and volatility OK.
Short bias when Fusion falls from high zones with similar filter alignment and coherence.
Exits:
Consider scaling out near extremes (Fusion > 0.8 or < 0.2), during entropy spikes, or when coherence weakens.
Regime awareness:
Adjust trendLen for your timeframe.
Tighten atrMultMin to avoid low-vol chop.
Use adaptiveThresholds for cross-asset consistency.
Key inputs
Quantum Core: quantumLevels, planckConst, massDensity, tunnelThreshold
Advanced Physics: enableAdvanced, tsallisQ, lyapunovDim, entropyLength
Filters: useTrendFilter, trendLen, useVolFilter, atrLen, atrMultMin, atrMultMax
Signals: adaptiveThresholds, signalCooldownBars, showSignals
Display: showQuantumBands, showComponents, showEntropyZones, showInfoTable
Lag Options: source, period, lag, lagmode, RMSP
One glance clarity: A single Fusion line encapsulates momentum, state, and complexity.
Regime-adaptive: Thresholds and filters tune to volatility and trend.
Signal discipline: Coherence and cooldown aim to reduce false triggers.
Transparent context: The info table tells you why a signal is firing, not just that it is.
Notes and best practices
Multi-timeframe confirmation is recommended for higher-conviction entries.
The Advanced Physics layer can be CPU heavy; disable it for lightweight scanning or enable for precision.
Optimize inputs per asset class and timeframe (crypto vs FX vs equities).
This is an analytical tool, not financial advice. Always validate with risk management.
Alerts
Hybrid QLF Long: triggers on qualified long conditions
Hybrid QLF Short: triggers on qualified short conditions
Attribution and license
Pine Script code is licensed under the Mozilla Public License 2.0.
© MarketMakerIQ
Quick start
Add to chart and enable showInfoTable to understand live readings.
Start with defaults; toggle useTrendFilter and useVolFilter to match your style.
If performance allows, enable Advanced Physics and tune tsallisQ, lyapunovDim, entropyLength.
Set alerts on the included conditions and forward-test across sessions.
RSI de LoquyIndicator Description: RSI de Loquy
This custom indicator blends the power of the Relative Strength Index (RSI) with the Hull Moving Average (HMA), enhanced by a linear regression to reveal underlying momentum trends.
How It Works:
The RSI is calculated not on price directly, but on the HMA, offering a smoother and more responsive signal.
The RSI is remapped to a -100 to +100 scale for more intuitive reading:
+100 = extreme oversold
-100 = extreme overbought
A linear regression line is plotted over the rescaled RSI to highlight trend direction and strength.
Usage Tips:
Reversed overbought/oversold levels:
Above +70 = potential oversold condition
Below -70 = potential overbought condition
The white regression line helps confirm trend shifts or momentum continuation.
⚙️ Customizable Inputs:
HMA period
RSI length
Regression length
Adaptive Volume Bound Oscillator | QuantEdgeBAdaptive Volume Bound Oscillator | QuantEdgeB
🔍 What is the Adaptive Volume Bound Oscillator (AVBO)?
The AVBO is a volume-weighted momentum oscillator that dynamically adapts its overbought/oversold thresholds to current market volatility. By measuring price’s deviation from a Volume-Weighted Moving Average (VWMA) and surrounding that deviation with bands that expand and contract based on recent oscillator volatility, AVBO provides clear, actionable signals in any market regime.
💡 Think of it as a “volume-aware RSI” that automatically widens its bands in choppy conditions to avoid whipsaws, and tightens them in calm markets to capture even subtle shifts—delivering filtered momentum readings and trend triggers in a single indicator.
⚙️ Core Components
✅ Modular Source Filter
Choose whether AVBO runs on:
• Raw Price – no preprocessing
• Gaussian Filter – smooths noise with a bell-curve weighting
• Median (Percentile) Filter – robust to outliers
• DEMA – double-EMA for fast trend capture
This lets you dial AVBO’s responsiveness vs. smoothness to suit your style.
✅ Volume-Weighted Moving Average (VWMA)
Computes the average of the filtered source, weighted by volume over a lookback. Anchors AVBO in real trade flow.
✅ Raw Oscillator (% Deviation)
Expresses price’s distance from VWMA in percentage terms.
✅ Adaptive Thresholds
• Measure recent volatility of AVBO via its standard deviation
• Scale that volatility by separate up/down multipliers to form upper and lower bands.
Bands expand when AVBO is choppy, contract when it’s calm—automatically keeping signal sensitivity in sync with market conditions.
✅ Signal Logic & Coloring
• Long when AVBO > upper band
• Short when AVBO < lower band
• Neutral otherwise
Candles color-code accordingly, and optional “Long”/“Short” labels mark crossovers.
✅ Backtest & Strength Sensor
• Built-in backtest table (overlaid or standalone) tracks P&L since a user-defined start date.
• Strength Sensor table calculates a 0–100% conviction score combining distance-to-band and rate-of-change—displayed as a mini ASCII bar for quick read.
📊 Backtest Mode
AVBO includes an optional backtest table, enabling traders to assess its historical effectiveness before applying it in live trading conditions.
🔹 Backtest Metrics Displayed:
• Equity Max Drawdown → Largest historical loss from peak equity.
• Profit Factor → Ratio of total profits to total losses, measuring system efficiency.
• Sharpe Ratio → Assesses risk-adjusted return performance.
• Sortino Ratio → Focuses on downside risk-adjusted returns.
• Omega Ratio → Evaluates return consistency & performance asymmetry.
• Half Kelly → Optimal position sizing based on risk/reward analysis.
• Total Trades & Win Rate → Assess historical success rate.
BTC
ETH
SOL
SUI
📌 Disclaimer:
Backtest results are based on past performance and do not guarantee future success. Always incorporate real-time validation and risk management in live trading.
📊 Real-Time Performance Panel
When enabled, AVBO’s dashboard shows:
• Current AVBO Value and position relative to bands
• Trend Flag (+1 / 0 / –1)
• Strength Score (bull vs. bear)
• Filter Mode in use
All updated on each bar to keep you informed of momentum shifts at a glance.
💼 Ideal Use Cases
1️⃣ Trend Riding
• Capture sustained moves where volume confirms direction.
2️⃣ Volatility Breakouts
• Spot explosive moves when AVBO pierces its adaptive bands.
3️⃣ Mean-Reversion in Calm Markets
• Tight bands let you spot small, high-probability fades.
4️⃣ Multi-Asset Scan
• Apply AVBO across stocks, crypto, FX, and futures for unified momentum signals.
🧬 Default Configuration
• Source Filter: Price
• VWMA Length: 30
• Volatility Length: 27
• Up Multiplier: 1.8
• Down Multiplier: 0.8
• Adaptive Multiplier: 0.95
🎨 Visual Enhancements
• Candle Bar Sync — bars tint bullish, bearish, or neutral.
• Upper/Lower Band Steplines — highlight band breaches.
• Oscillator Fill — colored fills above/below zero reinforce signal.
🧬 In Summary
AVBO | QuantEdgeB blends volume weighting, adaptive volatility bands, and modular filtering into a single, all-in-one momentum oscillator. It evolves its own sensitivity to market noise, provides clear breakouts/mean-reversion cues, and packages built-in backtest and strength metrics right on your chart—empowering you to trade momentum with confidence, across any asset or timeframe.
🔹 Disclaimer: Past performance is not indicative of future results. Always backtest and align AVBO’s settings with your risk tolerance and market objectives before live trading.
🔹 Disclaimer: Past performance is not indicative of future results.
🔹 Strategic Advice: Always backtest, optimize, and align parameters with your trading objectives and risk tolerance before live trading.
CCI Turbo Pro [CongTrader]📄 Full Description for Publishing — CCI Turbo Pro
⚡️ CCI Turbo Pro — Advanced CCI with Reversal Zones & Alerts
This advanced CCI (Commodity Channel Index) indicator is built for traders who want enhanced reversal signals, customizable extreme zones, and dynamic alerts. It improves the classic CCI with better visual cues and momentum filtering to help you avoid false signals.
🛠️ How to Use:
CCI Length (default = 20): Adjust based on your trading timeframe.
Overbought/Oversold Zones:
Overbought = 200
Oversold = -200
Extreme OB = 300 (red zone)
Extreme OS = -300 (green zone)
When the CCI crosses from below −200 → BUY signal
When the CCI crosses from above +200 → SELL signal
Background turns green/red in extreme zones
Optional labels show entry signals clearly
This indicator is useful for:
Reversal Trading
Momentum Shifts
Scalping, Swing, or Intraday strategies
Overbought/Oversold Confirmation
Works on:
Any asset (Crypto, Forex, Stocks, Indices)
Any timeframe
🔔 Alerts Included:
📈 CCI Buy Alert → CCI crossed up from oversold
📉 CCI Sell Alert → CCI crossed down from overbought
🚨 Extreme OB/OS Alert → CCI enters extreme reversal zone
Alerts help you stay informed even when away from the screen.
🔎 Keywords (for search discovery):
CCI, CCI Reversal, CCI Alert, Turbo CCI, Advanced CCI, CCI Zones, CCI Overbought, CCI Oversold, Momentum Reversal, CCI Scalping, CongTrader, CCI Buy Sell, Technical Indicator
🙏 Thank You
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⚠️ Disclaimer
This indicator is for educational purposes only and does not constitute financial advice. Use this tool with your own judgment and risk management. Past performance does not guarantee future results.
✍️ Created by CongTrader — Free, Open-Source Tools for Smarter Traders...
EZThis script is designed to provide a clear, visual confirmation of trend direction, momentum shifts, and institutional bias by combining multiple EMA layers and smoothed Heiken Ashi waves.
Features:
• EMA Trend Band (8, 13, 21 EMA): Highlights short-term trend strength and clean stacking conditions.
• 35 EMA Momentum Line: Captures medium-term momentum shifts for better trade entries.
• 200 SMA Institutional Bias Line: Filters trades aligned with higher timeframe bias.
• Triple-Smoothed Heiken Ashi Waves: Changes background & candle colors to reflect momentum waves, filtering out noise and false signals.
• Liquidity Sweep Zones & Inverse FVGs (Optional): Helps identify smart money footprints and potential reversal zones.
Use Case:
• Best suited for trend-following traders, scalpers, and swing traders who rely on multi-timeframe confluence.
• Works effectively on Forex, Futures, Indices, and Crypto charts.
• Designed to filter out fakeouts and highlight high-probability trade zones.
Disclaimer:
This script is for educational purposes only. It does not guarantee profits and should be used in combination with proper risk management and trading experience.
EWO + MACD + RSI + Stochastic EWO + MACD + RSI + Stochastic + Trendline Breakout + Volume Percentage EWO + MACD + RSI + Stochastic + Trendline Breakout + Volume Percentage
Time-Price Velocity [QuantAlgo]🟢 Overview
The Time-Price Velocity indicator uses advanced velocity-based analysis to measure the rate of price change normalized against typical market movement, creating a dynamic momentum oscillator that identifies market acceleration patterns and momentum shifts. Unlike traditional momentum indicators that focus solely on price change magnitude, this indicator incorporates time-weighted displacement calculations and ATR normalization to create a sophisticated velocity measurement system that adapts to varying market volatility conditions.
This indicator displays a velocity signal line that oscillates around zero, with positive values indicating upward price velocity and negative values indicating downward price velocity. The signal incorporates acceleration background columns and statistical normalization to help traders identify momentum shifts and potential reversal or continuation opportunities across different timeframes and asset classes.
🟢 How It Works
The indicator's key insight lies in its time-price velocity calculation system, where velocity is measured using the fundamental physics formula:
velocity = priceChange / timeWeight
The system normalizes this raw velocity against typical price movement using Average True Range (ATR) to create market-adjusted readings:
normalizedVelocity = typicalMove > 0 ? velocity / typicalMove : 0
where "typicalMove = ta.atr(lookback)" provides the baseline for normal price movement over the specified lookback period.
The Time-Price Velocity indicator calculation combines multiple sophisticated components. First, it calculates acceleration as the change in velocity over time:
acceleration = normalizedVelocity - normalizedVelocity
Then, the signal generation applies EMA smoothing to reduce noise while preserving responsiveness:
signal = ta.ema(normalizedVelocity, smooth)
This creates a velocity-based momentum indicator that combines price displacement analysis with statistical normalization, providing traders with both directional signals and acceleration insights for enhanced market timing.
🟢 How to Use
1. Signal Interpretation and Threshold Zones
Positive Values (Above Zero): Time-price velocity indicating bullish momentum with upward price displacement relative to normalized baseline
Negative Values (Below Zero): Time-price velocity indicating bearish momentum with downward price displacement relative to normalized baseline
Zero Line Crosses: Velocity transitions between bullish and bearish regimes, indicating potential trend changes or momentum shifts
Upper Threshold Zone: Area above positive threshold (default 1.0) indicating strong bullish velocity and potential reversal point
Lower Threshold Zone: Area below negative threshold (default -1.0) indicating strong bearish velocity and potential reversal point
2. Acceleration Analysis and Visual Features
Acceleration Columns: Background histogram showing velocity acceleration (the rate of change of velocity), with green columns indicating accelerating velocity and red columns indicating decelerating velocity. The interpretation depends on trend context: red columns in downtrends indicate strengthening bearish momentum, while red columns in uptrends indicate weakening bullish momentum
Acceleration Column Height: The height of each column represents the magnitude of acceleration, with taller columns indicating stronger acceleration or deceleration forces
Bar Coloring: Optional price bar coloring matches velocity direction for immediate visual trend confirmation
Info Table: Real-time display of current velocity and acceleration values with trend arrows and change indicators
3. Additional Features:
Confirmed vs Live Data: Toggle between confirmed (closed) bar analysis for stable signals or current bar inclusion for real-time updates
Multi-timeframe Adaptability: Velocity normalization ensures consistent readings across different chart timeframes and asset volatilities
Alert System: Built-in alerts for threshold crossovers and direction changes
🟢 Examples with Preconfigured Settings
Default : Balanced configuration suitable for most timeframes and general trading applications, providing optimal balance between sensitivity and noise filtering for medium-term analysis.
Scalping : High sensitivity setup with shorter lookback period and reduced smoothing for ultra-short-term trades on 1-15 minute charts, optimized for capturing rapid momentum shifts and frequent trading opportunities.
Swing Trading : Extended lookback period with enhanced smoothing and higher threshold for multi-day positions, designed to filter market noise while capturing significant momentum moves on 1-4 hour and daily timeframes.
kaka-Buff横盘系统与CVD和LVP
作用：此指标用于识别市场横盘（震荡）区间，检测累积成交量差额（CVD）背离（基于分形和参考方法），并标记基于大成交量K线的关键价格水平（Large Volume Price, LVP）。它通过结合横盘信号、成交量背离和关键价格水平，帮助交易者识别潜在的趋势反转或延续。指标还绘制可自定义的指数移动平均线（EMA）以辅助趋势分析。主要功能：横盘检测：使用EMA标准差（STD）、平均真实波幅（ATR）、平均方向指数（ADX）和布林带宽度（BB宽度）识别低波动性的横盘区间。
分形CVD背离：通过分形枢轴点和成交量差额计算，检测看涨（“+RD”）和看跌（“-RD”）背离，以标签形式显示在图表上。
参考CVD背离：在成交量分布区域（VAH、VAL、POC）内识别简单的CVD背离（基于价格和成交量差额高/低点），以绿色/红色三角形显示。
大成交量价格（LVP）：在回看周期（可自主设置长度）内标记最大成交量K线的最高/最低价，绘制线和标签，指示关键支撑/阻力位。
EMA线：绘制20、50、100和200周期的EMA，带开关控制和可自定义颜色，用于趋势可视化。
表格：以可自定义的表格（字体大小/颜色均可调节）显示横盘指标（EMA STD、ATR、ADX、BB宽度）和整体横盘状态。
警报：提供横盘进入/退出、分形CVD背离、参考CVD背离和LVP价格突破的警报。
Consolidation System with CVD and LVP
Purpose: This indicator identifies market consolidation zones, detects Cumulative Volume Delta (CVD) divergences (both fractal-based and reference-based), and marks significant price levels based on large volume bars (Large Volume Price, LVP). It helps traders identify potential trend reversals or continuations by combining consolidation signals, volume-based divergence, and key price levels. The indicator also plots customizable Exponential Moving Averages (EMAs) to aid in trend analysis.Key Features:Consolidation Detection: Uses EMA Standard Deviation (STD), Average True Range (ATR), Average Directional Index (ADX), and Bollinger Bands (BB) width to identify low-volatility consolidation zones.
Fractal CVD Divergence: Detects bullish ("+RD") and bearish ("-RD") divergences using fractal pivot points and a volume delta calculation, displayed as labels on the chart.
Reference CVD Divergence: Identifies simpler CVD divergences (based on price and volume delta highs/lows) within volume profile zones (VAH, VAL, POC), shown as green/red triangles.
Large Volume Price (LVP): Marks the high/low of the highest volume bar within a lookback period with lines and labels, indicating key support/resistance levels.
EMA Lines: Plots EMA 20, 50, 100, and 200 with toggle switches and customizable colors for trend visualization.
Table: Displays consolidation metrics (EMA STD, ATR, ADX, BB width) and overall consolidation status in a customizable table.
Alerts: Provides alerts for consolidation entry/exit, fractal CVD divergences, reference CVD divergences, and LVP price crossings.
Signal Creator [OptAlgo]The Signal Creator is designed to convert complex market analysis into clear, actionable signals. Whether you're developing automated trading strategies, backtesting systems, or simply need reliable entry, exit, and block points, this tool bridges the gap between trading ideas and signal execution. It exports signal plots in an importable format compatible with backtesting strategies.
🛠 Signal Creation System:
→ Dual configuration groups: Values-based and Plot-based signal creation
→ Up to 12 customizable conditions (6 per group) for comprehensive signal logic
🛠 Comparison Operators:
→ Multiple criteria types: equal, greater/less than, crossover/crossunder
→ Shifted comparisons (↩️) for historical data analysis
→ Crossing detection for dynamic market condition identification
🛠 Signal Types:
→ LONG/SHORT entry signals with customizable triggers
→ CLOSE ALL, CLOSE LONG, CLOSE SHORT exit strategies
→ Signal blocking system to prevent unwanted entries
→ Combined signal modes (LONG & SHORT, LONG & CLOSE, SHORT & CLOSE)
🛠 Signal Count Merge Rules:
→ MIN LONG CONDITION COUNT: Number of long conditions to trigger long signal
→ MIN SHORT CONDITION COUNT: Number of short conditions to trigger short signal
→ MIN CLOSE CONDITION COUNT: Number of close conditions to trigger close all signal
→ Prevents false signals by ensuring multiple confirmations before execution
→ Customizable thresholds for each signal type (default: 1 condition each)
🛠 Smart Signal Logic:
→ Automatic conflict resolution when opposing signals occur
→ Position-aware closing (only closes relevant side)
→ Counter-based signal validation requiring all conditions to be met
→ Signal hierarchy: Block signals override entry signals, close signals override all others
🛠 Numeric Output for Backtesting:
→ Importable plot signal values: 1 (LONG), -1 (SHORT), 0 (CLOSE)
→ Compatible with backtest templates and strategy builders
→ Clean data window output for easy integration with other indicators
→ Perfect for automated trading systems and signal forwarding
🛠 Visual Output:
→ Color-coded position visualization (green=long, red=short, white=close)
→ Step-line diamond plot style for clear signal identification
→ Separate pane display for easy signal monitoring
🛠 Alarm Output:
→ Alarm for LONG -> Can be importable as plot, value is 1. (LONG == 1)
→ Alarm for SHORT -> Can be importable as plot, value is 1. (SHORT == 1)
→ Alarm for CLOSE -> Can be importable as plot, value is 1. (CLOSE == 1)
[ayana] TFPS - TradFi Pressure ScoreTFPS - TradFi Pressure Score: Your Market Pressure Barometer
Understand what moves Wall Street, before it moves Crypto.
This indicator is your real-time barometer for the influence of traditional financial markets (TradFi) on Crypto. It measures the combined pressure from four key quadrants—Risk Appetite (S&P 500), Market Stress (VIX), Liquidity (DXY), and Macro Expectations (US10Y)—to answer one question: "Do I have a tailwind or a headwind from the global markets?"
How to Read Your "Cockpit" in 60 Seconds
The Main Line (Overall Market Pressure)
GREEN / ABOVE 0: Bullish Tailwind. The macro environment is supportive for Crypto.
RED / BELOW 0: Bearish Headwind. The macro environment is creating pressure on Crypto.
BRIGHT Color: Pressure is ACCELERATING.
DARK Color: Pressure is DECELERATING (losing momentum).
The Dashboard (Your Command Center)
Lead/Lag Analysis: The game-changer. Tells you if TradFi is currently leading the price or vice-versa. This is your key to knowing whether to watch macro news or focus on crypto-specifics.
TradFi Influence (R²): Shows you HOW RELEVANT the macro pressure is right now. High R² means Wall Street's influence is dominant. Low R² means crypto is moving on its own narrative.
Dynamic Weights: Reveals the market's primary NARRATIVE. Is the pressure coming from Fear (VIX), Liquidity (DXY), or general Risk Appetite (SPX)?
Extreme Signals (Reversal Zones)
Stress Cloud (Z-Score): Large, opaque bars warn of statistically EXTREME greed or fear levels.
Extreme Dots: Pinpoint the moments when pressure has likely reached an unsustainable peak, often preceding turning points.
Key Strategies & Use Cases
As a Trend Filter: Simply avoid fighting the color. Don't force long trades when the TFPS shows a strong red headwind.
For Precision Entry/Exits: Use the Extreme Dots and a decelerating color on the Main Line to time your entries in confluence with your own strategy.
For Strategic Decisions: Use the Lead/Lag and R² metrics to decide where to focus your attention and how to manage portfolio risk based on the current macro regime.
Configuration
For best results, leave the engine settings on their default (auto-adaptive) mode. The indicator's core intelligence lies in its ability to adapt to changing market dynamics automatically. You can adjust the visual theme to match your chart.
Momentum Buy/Sell signals (Nikko) v1.0📊 Momentum Volume Box Range Buy/Sell Signals (Nikko) v1.0
This indicator is a multi-factor momentum-based tool that helps identify potential Buy and Sell signals:
🔍 What it does
It combines several well-known indicators into a hybrid signal system and displays heatmaps, momentum lines, and Buy/Sell labels.
📈 How to use it
Buy Signals are shown when the hybrid K line crosses above D line in strong downward zones (oversold).
Sell Signals appear when K crosses below D, but only if a minimum profit % is reached since the last Buy.
The background heatmap color changes based on combined RSI and Vortex intensity:
Greenish = Bullish strength
Reddish = Bearish weakness
🟢 Buy/Sell Labels
Buy Labels: Triggered when strong downward momentum reverses (or price drops deeply).
Sell Labels: Only shown if price has moved up by the user-defined % profit since the last Buy.
🔧 Customization Options
You can toggle on/off:
Heatmap
Hybrid signal lines
Buy/Sell labels
Stochastic RSI area plot
Volume range and profile
EMA overlays (20, 50, 100, 200)
All major color elements are adjustable for visual clarity.
💡 Best Practices
Use on any timeframe, but it works best with higher timeframes (1H+).
Look for convergence between strong heatmap color and hybrid signal crossover.
Combine with price action or EMA trend context for better accuracy.
Note: This indicator is designed as a trading companion, not a standalone strategy. It combines multiple timeframes and parameters that would be difficult to monitor manually. Its purpose is to visually simplify complex signals, helping reduce the risk of poor entries.
However, it's essential to also consider macroeconomic factors, news events, and overall market sentiment, as they can significantly impact price action. Always use proper risk management and do your own research (DYOR).
ZenAlgo - DeltaThis indicator visualizes cumulative delta volume across multiple exchanges and trading pairs, with optional moving averages, divergence detection, and contextual labeling. It aggregates buy and sell volume from both spot and perpetual markets, applying normalization and visual encoding to highlight volume flow dynamics over time.
Volume Aggregation Logic
The script starts by collecting volume data from up to nine exchanges. It distinguishes between spot (e.g., USDT, USD) and perpetual markets (e.g., USDT.P, USD.P) using dynamically constructed tickers based on the asset's base currency. For each enabled exchange, it fetches volume using request.security , filtering out invalid or zero-volume responses.
Each set of volume data (spot1, spot2, perp1, perp2) is then processed through a reducer function that combines the values using a selected method—sum, average, median, or variance. These processed volumes are further categorized and summed into total spot and perp volume streams, forming the basis for downstream delta computations.
Delta Calculation
For each bar, the script decomposes the candlestick into wick and body proportions, calculating how much of the total volume might be attributed to upward or downward pressure. This estimation weights the volume by the visual structure of the candle—larger bodies and upper wicks in bullish candles suggest buying pressure; inverse logic applies for bearish candles.
These estimated buy and sell volumes are then subtracted to derive per-bar delta. A cumulative delta series is computed by summing this bar-by-bar delta across a user-defined window length.
Divergences on Delta
Fractal logic is applied to detect local highs and lows in the cumulative delta series. These points serve as anchors for divergence comparisons:
Regular divergences identify price making higher highs (or lower lows) while delta makes lower highs (or higher lows).
Hidden divergences look for the opposite (price pullback vs delta continuation).
The same logic is applied independently to:
Raw cumulative delta
A primary delta moving average
A secondary, slower moving average
Each can be configured with different lookback lengths and moving average types (SMA, EMA, WMA, HMA, RMA).
The divergence logic gains additional value when used in tandem with the delta moving averages and contextual temperature state. For example, a divergence detected on the slower delta average while the temperature band is in an “Extreme Hot” or “Cold” zone may indicate a more meaningful exhaustion event. This layered approach allows users to filter weaker divergences and focus on those that align with broader delta context.
Gradient and Temperature Context
A third moving average (e.g., WMA(50)) is used to provide a contextual "temperature" state of the delta environment. Based on deviations from its own mean and standard deviation, this third MA is classified into zones:
"Extreme Hot", "Hot", "Warm"
"Neutral"
"Cool", "Cold", "Extreme Cold"
These zones are encoded using color and transparency gradients in the chart’s background. This helps identify periods where delta conditions are statistically stretched or compressed relative to recent history.
EMA Cross Conditions
The script tracks crossover events between the short and long EMAs of delta, especially when these align with a directional shift in cumulative delta (e.g., zero-line cross). If confirmed by volume skew (more buy than sell or vice versa), specific visual markers are plotted.
Labels and Informational Lines
Dynamic labels are rendered on the latest bar showing:
Cumulative delta and last divergence
EMA values and associated divergence
"Slow MA" value and its temperature state
These labels float next to the latest values, using thematic or neutral colors based on user preference.
Buy/Sell Pressure Tables
Two optional tables display breakdowns of:
Buy vs Sell volume
Their percentage contribution
Net delta value
Market condition label (e.g., "Full Bull", "Bearish")
These are calculated over the selected lookback period and color-coded accordingly.
An experimental table compares raw and aggregated spot/perpetual volume contributions and their percentage skew.
Background Highlight Logic
Background colors are conditionally rendered based on buy/sell volume dominance. Several thresholds exist:
2x or 3x buy volume dominance → greenish tones
2x or 3x sell volume dominance → reddish tones
Combined with temperature overlays, this highlights areas of potentially high conviction from either side.
Cross Conditions
The script detects situations where cumulative delta crosses under buy/sell volume thresholds. Visual dots mark:
Negative delta intersecting rising sell volume
Positive delta intersecting rising buy volume
This provides additional cues when short-term volume shifts might contradict recent cumulative flow.
How to Interpret Values
Cumulative Delta (AggDelta): Tracks net buy vs sell pressure over time. A rising delta suggests persistent buying pressure, and vice versa.
Temperature State: Places delta flow into historical context. “Extreme Hot” implies sustained positive flow, possibly overextended; “Cold” signals inverse.
EMA Lines: Short- and long-term smoothing of delta for trend and divergence detection.
Cross Events: Represent moments when short EMA crosses over delta or long EMA, often signaling a directional momentum change.
Tables and Labels: Quantify volume dominance and flow state, helping assess if flow aligns with price structure.
How to Best Use
For context: Observe overall slope and temperature of the third MA. High deviations often precede cooling or reversal.
For confluence: Look for alignment between price structure (e.g., higher highs) and delta divergence to identify exhaustion or continuation.
For short-term timing: Watch EMA crosses and volume conditions (e.g., buy volume increasing while delta crosses above zero).
Added Value Compared to Other Free Indicators
Multi-exchange Aggregation: Includes spot and perp data across major exchanges with flexible inclusion settings.
Granular Delta Estimation: Uses candle body/wick proportions rather than simple up/down tick assumptions.
Context-Aware Visualization: Integrates volume gradient, statistical deviation zones, and divergence overlays in one compact view.
Highly Customizable: Users can fine-tune divergence, moving average, color scheme, and table display independently.
Integrated View with Synergistic Logic: Unlike using several isolated scripts, this indicator unifies delta flow, divergence, volume dominance, and statistical context into one coherent framework. This synergy reduces the need to reconcile signals from different sources and allows for clearer judgment when multiple conditions align.
Limitations and Disclaimers
Delta Approximation: Calculated using heuristic candle shape assumptions; not a tick-level order book delta.
Exchange Coverage: Relies on availability of correct tickers and historical volume data via TradingView’s request.security .
Visual Lag: Cumulative delta and divergence patterns may develop over several bars and are not predictive on their own.
No Entry Signals: This indicator does not provide trading signals, nor does it evaluate risk or price targets.
Additional Limitations
This indicator estimates delta from candle shape and volume distribution heuristics. In low-liquidity markets or on lower timeframes, this estimation may misrepresent actual flow dynamics, especially during volatile spikes or news-driven moves. Divergence patterns may appear with delay or persist without price reaction, particularly in ranging or algorithmically driven markets. Users should combine these tools with broader context and price action awareness rather than relying on isolated delta events.
GOLD KEEPER – Multi‑Timeframe Trading AssistantGOLD KEEPER is a multi‑timeframe chart analysis tool designed to display visual markers when certain technical conditions are met.
It is intended to assist traders in their own chart study and decision‑making.
Usage Recommendations:
• Use a higher timeframe (e.g., 1H, 30M, or 15M) for overall market context.
• Drop to a lower timeframe (e.g., 5M or 3M) for potential entries that fit your own strategy.
• Combine with your personal analysis tools such as price action, support/resistance, and volatility levels.
Notes:
• Invite‑only script – access is granted to authorized users.
• For educational and chart‑analysis purposes only.
• This tool does not provide financial advice or guarantee results.
FEDFUNDS Rate Divergence Oscillator [BackQuant]FEDFUNDS Rate Divergence Oscillator
1. Concept and Rationale
The United States Federal Funds Rate is the anchor around which global dollar liquidity and risk-free yield expectations revolve. When the Fed hikes, borrowing costs rise, liquidity tightens and most risk assets encounter head-winds. When it cuts, liquidity expands, speculative appetite often recovers. Bitcoin, a 24-hour permissionless asset sometimes described as “digital gold with venture-capital-like convexity,” is particularly sensitive to macro-liquidity swings.
The FED Divergence Oscillator quantifies the behavioural gap between short-term monetary policy (proxied by the effective Fed Funds Rate) and Bitcoin’s own percentage price change. By converting each series into identical rate-of-change units, subtracting them, then optionally smoothing the result, the script produces a single bounded-yet-dynamic line that tells you, at a glance, whether Bitcoin is outperforming or underperforming the policy backdrop—and by how much.
2. Data Pipeline
• Fed Funds Rate – Pulled directly from the FRED database via the ticker “FRED:FEDFUNDS,” sampled at daily frequency to synchronise with crypto closes.
• Bitcoin Price – By default the script forces a daily timeframe so that both series share time alignment, although you can disable that and plot the oscillator on intraday charts if you prefer.
• User Source Flexibility – The BTC series is not hard-wired; you can select any exchange-specific symbol or even swap BTC for another crypto or risk asset whose interaction with the Fed rate you wish to study.
3. Math under the Hood
(1) Rate of Change (ROC) – Both the Fed rate and BTC close are converted to percent return over a user-chosen lookback (default 30 bars). This means a cut from 5.25 percent to 5.00 percent feeds in as –4.76 percent, while a climb from 25 000 to 30 000 USD in BTC over the same window converts to +20 percent.
(2) Divergence Construction – The script subtracts the Fed ROC from the BTC ROC. Positive values show BTC appreciating faster than policy is tightening (or falling slower than the rate is cutting); negative values show the opposite.
(3) Optional Smoothing – Macro series are noisy. Toggle “Apply Smoothing” to calm the line with your preferred moving-average flavour: SMA, EMA, DEMA, TEMA, RMA, WMA or Hull. The default EMA-25 removes day-to-day whips while keeping turning points alive.
(4) Dynamic Colour Mapping – Rather than using a single hue, the oscillator line employs a gradient where deep greens represent strong bullish divergence and dark reds flag sharp bearish divergence. This heat-map approach lets you gauge intensity without squinting at numbers.
(5) Threshold Grid – Five horizontal guides create a structured regime map:
• Lower Extreme (–50 pct) and Upper Extreme (+50 pct) identify panic capitulations and euphoria blow-offs.
• Oversold (–20 pct) and Overbought (+20 pct) act as early warning alarms.
• Zero Line demarcates neutral alignment.
4. Chart Furniture and User Interface
• Oscillator fill with a secondary DEMA-30 “shader” offers depth perception: fat ribbons often precede high-volatility macro shifts.
• Optional bar-colouring paints candles green when the oscillator is above zero and red below, handy for visual correlation.
• Background tints when the line breaches extreme zones, making macro inflection weeks pop out in the replay bar.
• Everything—line width, thresholds, colours—can be customised so the indicator blends into any template.
5. Interpretation Guide
Macro Liquidity Pulse
• When the oscillator spends weeks above +20 while the Fed is still raising rates, Bitcoin is signalling liquidity tolerance or an anticipatory pivot view. That condition often marks the embryonic phase of major bull cycles (e.g., March 2020 rebound).
• Sustained prints below –20 while the Fed is already dovish indicate risk aversion or idiosyncratic crypto stress—think exchange scandals or broad flight to safety.
Regime Transition Signals
• Bullish cross through zero after a long sub-zero stint shows Bitcoin regaining upward escape velocity versus policy.
• Bearish cross under zero during a hiking cycle tells you monetary tightening has finally started to bite.
Momentum Exhaustion and Mean-Reversion
• Touches of +50 (or –50) come rarely; they are statistically stretched events. Fade strategies either taking profits or hedging have historically enjoyed positive expectancy.
• Inside-bar candlestick patterns or lower-timeframe bearish engulfings simultaneously with an extreme overbought print make high-probability short scalp setups, especially near weekly resistance. The same logic mirrors for oversold.
Pair Trading / Relative Value
• Combine the oscillator with spreads like BTC versus Nasdaq 100. When both the FED Divergence oscillator and the BTC–NDQ relative-strength line roll south together, the cross-asset confirmation amplifies conviction in a mean-reversion short.
• Swap BTC for miners, altcoins or high-beta equities to test who is the divergence leader.
Event-Driven Tactics
• FOMC days: plot the oscillator on an hourly chart (disable ‘Force Daily TF’). Watch for micro-structural spikes that resolve in the first hour after the statement; rapid flips across zero can front-run post-FOMC swings.
• CPI and NFP prints: extremes reached into the release often mean positioning is one-sided. A reversion toward neutral in the first 24 hours is common.
6. Alerts Suite
Pre-bundled conditions let you automate workflows:
• Bullish / Bearish zero crosses – queue spot or futures entries.
• Standard OB / OS – notify for first contact with actionable zones.
• Extreme OB / OS – prime time to review hedges, take profits or build contrarian swing positions.
7. Parameter Playground
• Shorten ROC Lookback to 14 for tactical traders; lengthen to 90 for macro investors.
• Raise extreme thresholds (for example ±80) when plotting on altcoins that exhibit higher volatility than BTC.
• Try HMA smoothing for responsive yet smooth curves on intraday charts.
• Colour-blind users can easily swap bull and bear palette selections for preferred contrasts.
8. Limitations and Best Practices
• The Fed Funds series is step-wise; it only changes on meeting days. Rapid BTC oscillations in between may dominate the calculation. Keep that perspective when interpreting very high-frequency signals.
• Divergence does not equal causation. Crypto-native catalysts (ETF approvals, hack headlines) can overwhelm macro links temporarily.
• Use in conjunction with classical confirmation tools—order-flow footprints, market-profile ledges, or simple price action to avoid “pure-indicator” traps.
9. Final Thoughts
The FEDFUNDS Rate Divergence Oscillator distills an entire macro narrative monetary policy versus risk sentiment into a single colourful heartbeat. It will not magically predict every pivot, yet it excels at framing market context, spotting stretches and timing regime changes. Treat it as a strategic compass rather than a tactical sniper scope, combine it with sound risk management and multi-factor confirmation, and you will possess a robust edge anchored in the world’s most influential interest-rate benchmark.
Trade consciously, stay adaptive, and let the policy-price tension guide your roadmap.
Smart MTF Bias Detector v3 (Debug)Here's a breakdown of the "Smart MTF Bias Detector v3 (Debug)" indicator's five main filters:
Main Trend (Multi-Timeframe Heikin Ashi)
The green/red background indicates the trend from Heikin Ashi candles on the H1 timeframe (or your set timeframe).
If the Heikin Ashi candle closes above its open, the background is green (indicating an upward bias).
If the Heikin Ashi candle closes below its open, the background is red (indicating a downward bias).
Short-Term Trend Filter (EMA50)
The yellow line represents the EMA50.
Buy only when the price closes above the EMA50.
Sell only when the price closes below the EMA50.
Abnormal Buy/Sell Pressure Detection (Volume Spike)
Purple dots signify candles where the volume is greater than the SMA (Simple Moving Average) of volume over N previous candles, multiplied by a specified multiplier.
This confirms there's "force" driving the price up or serious selling pressure.
Momentum Filter (Stochastic RSI)
Blue upward triangles and orange downward triangles indicate when %K crosses %D.
It uses Oversold/Overbought targets (20/80) to avoid crosses in the middle ranges.
Pivot Break (Fractal Breakout)
Red "X" marks represent Fractal Highs, and green "X" marks represent Fractal Lows.
Red/green up/down arrows indicate breakouts of these levels (e.g., a previous High being broken means an upward breakout, or a previous Low being broken means a downward breakout).
BUY Signal Conditions
A BUY signal will be generated when:
The background is green (HTF Trend ↑).
The Stoch RSI crosses up from below the Oversold zone (blue arrow).
A Fractal Low breakout occurs (Fract UP arrow).
The price is above the EMA50.
There is a Volume Spike (purple dot).
SELL Signal Conditions
A SELL signal will be generated when:
The background is red (HTF Trend ↓).
The Stoch RSI crosses down from above the Overbought zone (orange arrow).
A Fractal High breakout occurs (Fract DOWN arrow).
The price is below the EMA50.
There is a Volume Spike (purple dot).
