HaP RSIComprehensive Guide to HaP RSI Indicator
Introduction
The HaP RSI indicator is a custom technical analysis tool designed to replicate the logic and structure of the HaP MACD indicator but applied to the Relative Strength Index (RSI). This indicator combines traditional RSI concepts with advanced smoothing techniques, dynamic signal generation, and visual cues to help traders identify potential entry and exit points, trend strength, and momentum shifts.
This document provides an exhaustive explanation of the indicator's logic, its components, and practical strategies for trading with it.
Logic and Structure of HaP RSI
The HaP RSI indicator is built on the foundation of the RSI oscillator, which measures the speed and change of price movements to identify overbought and oversold conditions. The indicator enhances RSI by incorporating the following elements:
RSI Calculation: Uses a customizable length (default 10) and allows selection of smoothing type (EMA or SMA) for flexibility.
Signal Line: A moving average of the RSI (default length 9) that acts as a reference for crossovers and trend confirmation.
DEMA Logic: Double Exponential Moving Average applied to RSI and its signal line to generate dynamic dot signals for entries and exits.
Visual Elements: Midline at 50, Overbought/Oversold levels at 70 and 30, color-coded dots (Blue, Green, Orange, Red) for intuitive interpretation.
Conditions and Signal Generation
The indicator uses a sophisticated set of conditions to determine market states and generate actionable signals:
Buy Condition: Triggered when the DEMA of RSI is above the DEMA of its signal line AND the DEMA signal line is rising. This indicates strengthening bullish momentum.
First Signal Dot: Appears as a Blue dot when the buy condition becomes true for the first time after being false. This marks the start of a potential bullish phase.
Ongoing Signal Dot: Appears as Green if RSI is rising or Orange if RSI is falling while the buy condition remains true. This provides real-time feedback on momentum strength.
Exit Dot: Appears as Red when the buy condition turns false after being true, signaling a potential end to the bullish phase.
Crossovers: RSI crossing above its signal line (bullish) or below (bearish) are calculated but hidden by default, offering additional confirmation if enabled.
Trading Strategies Using HaP RSI
The HaP RSI indicator can be used in multiple ways to enhance trading decisions. Below are detailed strategies and best practices:
1. Entry Strategies
Enter long positions when a Blue dot appears, confirming the start of bullish momentum. Ideally, combine this with RSI above the midline (50) and price action breaking resistance.
Add to positions or scale in when Green dots appear, indicating continued bullish strength.
2. Exit Strategies
Exit or tighten stops when a Red dot appears, signaling weakening momentum.
Consider partial exits on Orange dots if momentum slows but the trend remains intact.
3. Trend Confirmation
Use the midline (50) as a regime filter: RSI above 50 generally favors long trades, while below 50 favors shorts.
Overbought/Oversold levels (70/30) can help identify exhaustion points for reversals or caution zones.
4. Risk Management
Always combine HaP RSI signals with stop-loss placement based on recent swing lows/highs.
Avoid chasing signals in low-volatility environments; confirm with volume or higher timeframe trend.
Advanced Usage and Best Practices
Combine HaP RSI with other indicators like moving averages or price action patterns for confluence.
Use alerts for Blue and Red dots to automate monitoring and reduce missed opportunities.
Backtest the indicator on multiple timeframes (H1 recommended) to optimize settings for your trading style.
Summary
HaP RSI is a powerful tool that blends RSI's simplicity with advanced signal logic, making it suitable for trend-following, momentum trading, and swing strategies. Its visual clarity and dynamic alerts allow traders to act decisively while managing risk effectively.
Osilatörler
RSI Trendline Breakout BB Exit -by RiazMalikUse this strategy based on RSI and bolinger bands
When RSI trend line breaks take position when RSI touches bolinger bands exit
- Trading Bot - Pyramidal Candle RSI - Robot Strategy -
1. Concept and Overview
The Pyramidal Candle RSI Strategy is a trend-following algorithm designed to optimize entry points during market pullbacks. Unlike standard strategies that enter a full position on a single indicator crossover, this script utilizes a Pyramidal (DCA) approach combined with strict Candle Geometry and Momentum filters.
The core philosophy is simple: "Buy the dip in an uptrend, sell the rally in a downtrend," but executed with mathematical precision. Instead of guessing the bottom, the strategy splits the allocated capital into multiple fractionated entries, improving the Average Entry Price (AEP) if the market moves against the initial position before reversing.
2. Originality and Key Features
What makes this strategy unique is the combination of Sequential Candle detection and Average Price Targeting:
- Sequential Candle Entry: The strategy does not blindly enter on an indicator signal. For the first entry, it waits for a specific sequence of consecutive candles closing in the signal direction (e.g., entering Long only after a sequence of bearish candles implies a pullback is occurring).
- RSI Slope Detection: Instead of traditional Overbought/Oversold levels, the script analyzes the direction (slope) of the RSI to ensure momentum is shifting in favor of the trade before entering.
- Smart Pyramiding: The script is built to handle up to 20 separate entries. It calculates position size dynamically based on your total allocated capital divided by the maximum allowed entries.
- Average Price Exit Target: Profits are not taken based on the entry price of the first order, but on the Average Entry Price of the entire position. This allows for faster exits and higher win rates even if the first entry was slightly early.
3. How it Works
The Entry Logic:
- Trend Filter (SMA): The market must be above the SMA for Longs (or below for Shorts).
- Momentum Filter (RSI): The RSI line must be curving upwards (for Longs) or downwards (for Shorts) to confirm immediate momentum.
- Candle Sequence: The script detects a user-defined number of consecutive candles to validate the "dip" or the "rally."
- Pyramiding: If the price continues to move against the trade, the strategy adds new positions (up to the user-defined limit) to average down the entry price.
The Exit Logic:
- Profit Target: The strategy closes the entire position once the price reaches a specific percentage deviation (e.g., +1%) from the Average Entry Price.
- Hard Stop Loss / Take Profit: Integrated percentage-based SL and TP are available as a safety net.
4. Settings and Configuration
The script keeps a professional "TopBot" dashboard style for easy monitoring.
Trading Mode: Choose between Long Only, Short Only, or Both.
Max Entries: How many times the bot can enter the same trade.
Consecutive Candles: How many candles of the same color are required to trigger the first entry.
SMA Length: Defines the long-term trend.
RSI Settings: Fine-tune the momentum detection (Length and Source).
Exits: Define your profit target as a percentage of the average price (e.g., 1.0 = 1%).
Risk Management: Adjustable Stop Loss and Take Profit percentages.
5. Automation Ready
This script is designed for automation. It includes built-in alert message placeholders compatible with 3rd-party webhook automation tools. The alerts automatically transmit:
Ticker & Timeframe
Direction (Long/Short)
Leverage & Quantity parameters
Stop Loss levels
6. Disclaimer
Past performance is not indicative of future results. This script is a tool for technical analysis and automated execution logic, not financial advice. Always backtest with your specific asset and timeframe before using real capital.
Zero Lag Moving Average Convergence Divergence (ZLMACD) [EVAI]Zero Lag Moving Average Convergence Divergence (ZLMACD)
ZLMACD is a MACD-style momentum oscillator that keeps the standard MACD structure while adding a practical “zero-lag” option through ZLEMA. It is intended for traders who like the familiar MACD workflow but want an oscillator that can respond earlier during transitions without turning into an overly noisy trigger.
The indicator plots the MACD line, the signal line, and the histogram around a zero baseline. If you already understand MACD, you already understand how to read this. The difference is that you can choose whether the oscillator and signal are driven by EMA, SMA, or ZLEMA, which changes the responsiveness and smoothness of the indicator.
Default behavior
This script defaults to the preset mode “ZLEMA osc + EMA signal.” In this configuration, the fast and slow oscillator averages are computed using ZLEMA, while the signal line remains an EMA of the MACD line. The reason for this mix is simple: ZLEMA tends to reduce lag in the oscillator, while EMA on the signal line helps keep crossovers readable and avoids excessive micro-signals.
In practice, this default preset often behaves like a “faster MACD” that still feels like MACD. It can highlight momentum turns earlier than a traditional EMA MACD while keeping the signal line stable enough to use for timing and confirmation.
Custom mode and MA selection
If you switch Mode to “Custom,” the indicator will use your selected moving average types for both the oscillator and the signal line. In Custom mode, the oscillator type applies to both fast and slow averages, and the signal type applies to the smoothing of the MACD line.
If you are in the default preset mode, the custom MA dropdowns will not change the calculations. This is intentional: the preset locks the MA types so the default behavior remains consistent and reproducible across charts and users.
Reading the indicator
The histogram reflects the distance between the MACD line and the signal line. When the histogram is above zero, the MACD line is above the signal line and momentum is biased upward; when it is below zero, the MACD line is below the signal line and momentum is biased downward. Changes in histogram height help visualize strengthening versus weakening momentum, while the zero baseline provides regime context by indicating whether the fast average is above or below the slow average.
Crossovers between MACD and signal behave exactly as they do in standard MACD, but the timing and “feel” will vary depending on the MA choices. ZLEMA on the oscillator typically makes turns appear earlier; SMA typically smooths more but can be slower; EMA tends to be the balanced baseline.
Alerts
Two alert conditions are included to detect histogram polarity shifts. One triggers when the histogram switches from non-negative to negative, and the other triggers when it switches from non-positive to positive. These are useful if you want simple notifications for momentum regime flips without staring at the chart continuously.
Notes
This indicator is provided for informational and educational purposes only and is not financial advice. Always test settings per instrument and timeframe and use risk management.
Stochastic Extreme Oscillator [MatrixQuantLabs]Stochastic Extreme Oscillator is an enhanced stochastic-based oscillator designed to highlight market extremes, momentum shifts, and potential reversal zones with improved visual clarity and signal filtering.
This indicator builds upon the classic Stochastic Oscillator by focusing on extreme zone behavior, peak & trough signals, and optional divergence detection, making it suitable for both discretionary and systematic traders.
Key Features
Extreme Zone Visualization
• Multi-level overbought (80–100) and oversold (0–20) zones with adaptive color intensity help assess the strength and risk level of market extremes at a glance.
Momentum-Aware Coloring
• The %D line dynamically changes color based on its position relative to the zero line, providing an intuitive view of bullish, neutral, and bearish momentum states.
Peak & Trough Signals
• Optional bullish and bearish signals are triggered only when %K / %D cross occurs inside extreme zones, helping filter out low-quality signals in mid-range conditions.
Regular Divergence Detection
• Built-in bullish and bearish divergence detection based on pivot structure, allowing early identification of potential trend reversals.
Clean & Focused Design
• The indicator emphasizes the %D line as the primary signal source, while %K is used internally for logic, keeping the chart uncluttered and easy to read.
Customization
• Adjustable %K / %D lengths and smoothing
• Toggle peak & trough signals on/off
• Optional divergence detection with configurable pivot sensitivity
• Designed to work across different markets and timeframes
Usage Notes
• Best used as a momentum and extreme-condition oscillator, not as a standalone trading system
• Signals are most effective when combined with trend context, price structure, or higher-timeframe analysis
• Divergence signals may appear with delay due to pivot confirmation logic
Disclaimer
This indicator is intended for educational and analytical purposes only and does not constitute financial advice. Always apply proper risk management and confirm signals with additional analysis.
[Gio Screener] Bias + Inflect (v2)In crypto BTC is king: when it moves, the market moves (most of the time).
In this screener, correlation and volatility are used as an advantage — at least we try.
This script is a benchmark-relative screener designed to quickly identify which assets are most interesting to trade when the market is moving, especially during high-volatility sessions.
The core idea is simple:
most assets behave like a beta of a benchmark (usually BTC). When the benchmark accelerates, correlated assets tend to follow — but with different strength, timing, and structure. This screener helps you exploit those differences.
What this screener does
For each symbol in the list, the script compares its behavior to a benchmark across two evaluation windows (LTF and HTF) and displays the results in a sortable table. It focuses on three main aspects:
- relative strength vs the benchmark
- correlation quality
- timing / inflection readiness
The goal is to quickly answer:
Which assets should I long or short when the benchmark dips or tops?
Main columns
Bias
Bias measures directional edge relative to the benchmark.
It combines:
- relative performance vs benchmark (HTF and LTF)
- higher-timeframe price change (structural trend)
Interpretation
- Positive Bias → better long candidates
-Negative Bias → better short candidates
Bias answers “what side should I prefer?”
Inflect (Inflection index)
Inflect measures how ready an asset is for a reversal or mean-reversion entry in the direction suggested by Bias.
It combines:
- oscillator stretch (overbought / oversold)
- oscillator turning (delta sign-hold)
- short-term pullback (anti-chase logic)
- volatility amplification (reward movers)
- correlation quality (prefer benchmark-aligned assets)
Inflect is a single numeric score, used both for:
- table reading and sorting
- actionable alerts
Interpretation:
- High positive Inflect → long-side inflection candidates
- High negative Inflect → short-side inflection candidates
Inflect answers “is this a good moment?”
Actionable logic (alerts-grade)
A symbol becomes actionable only when all of the following conditions are met:
- correlation with the benchmark is strong enough
- benchmark itself confirms the same direction (turning)
- Bias magnitude is large enough
- Inflect magnitude is large enough
- oscillator reached an extreme
- oscillator delta confirms the turn
When this happens, the Inflect cell is highlighted for a few bars so recent signals remain visible even after sorting.
How to use
Typical workflow:
- choose a benchmark (BTC, TOTAL, TOTAL3, etc.)
- set LTF / HTF evaluation windows
- sort by Bias to rank strong vs weak assets
- sort by Inflect to rank best timing opportunities
- focus on correlated, volatile assets during market moves
This screener is especially useful in high-volatility environments, when reversals and pullbacks offer better risk/reward.
Implementation notes
- Uses one request per symbol (efficient and stable)
- Calculations are independent from the chart symbol
- Rolling-window logic in chart bars (good trade-off between precision and performance)
Final note
This is not a signal generator by itself.
It is a decision-compression tool: it reduces a large universe into a short list of where and when to focus your attention.
Adaptive Strength Overlay (MTF) [BackQuant]Adaptive Strength Overlay (MTF)
A multi-timeframe RSI strength visualizer that projects oscillator “pressure” directly onto price using adaptive gradient fills between percent bands. Built to make strength, exhaustion, and regime context readable at a glance, without needing to stare at a separate oscillator panel.
Mean-Reversion mode example
What this indicator does
This indicator converts RSI strength into a chart overlay that reacts to momentum and extremes, then visualizes it as colored “pressure zones” around price.
Instead of plotting RSI in a sub-window, it:
Builds 1 to 3 symmetric percent bands above and below price.
Computes RSI strength on up to 3 different timeframes (MTF).
Smooths RSI with your selected moving average type.
Maps RSI values into discrete transparency “buckets”.
Fills between the bands with a gradient whose opacity reflects strength or exhaustion.
Displays a compact RSI table for all enabled timeframes.
Provides alert conditions for extremes and midline shifts on each timeframe.
The result is an overlay that looks like a dynamic envelope. When strength rises, the envelope “lights up” in the direction of the move. When strength becomes stretched, the outer zones become visually prominent.
Core idea: “Strength as an overlay”
RSI is normally interpreted in a separate oscillator panel. That makes context-switching slow:
You check price action.
You look down at RSI.
You mentally translate RSI into risk or trend bias.
This script removes that translation step by projecting strength directly onto the price area, using band fills as a visual language:
More visible fill = stronger strength or more extreme condition (depending on mode).
Less visible fill = weak strength or neutral state.
Two operating modes
1) Trend mode
Trend mode emphasizes strength aligned with direction:
When RSI is strong on the upside, upper bands become more visible.
When RSI is strong on the downside, lower bands become more visible.
Neutral RSI fades, so the chart de-clutters during chop.
Use Trend mode when:
You want a clean trend-following overlay.
You want to quickly see which timeframe(s) are powering the move.
You want to filter entries to moments when strength confirms direction.
2) Mean-Reversion mode
Mean-Reversion mode flips the emphasis to highlight exhaustion against the move :
Upper extremes become a “potential exhaustion” cue.
Lower extremes become a “potential exhaustion” cue.
The overlay is tuned to make stretched conditions obvious.
This is not an automatic “short overbought / long oversold” system. It is a visualization mode that makes “extended” conditions stand out faster, especially when multiple timeframes align.
How the bands work (Percent Bands)
The indicator constructs up to three symmetric envelopes around price:
Band 1: percent1 scaled by scale
Band 2: percent2 scaled by scale (optional)
Band 3: percent3 scaled by scale (optional)
The percent bands are simple deviations from the selected price source:
Upper = price * (1 + (percent * scaling)/100)
Lower = price * (1 - (percent * scaling)/100)
Why this matters:
It anchors “strength visualization” to meaningful price distance.
It makes the overlay comparable across assets because it’s percent-based.
It gives you a consistent spatial frame for reading momentum versus extension.
Multi-timeframe engine (MTF)
The script runs the same strength calculation on up to three timeframes:
Timeframe 1 uses the chart timeframe by default (empty string input).
Timeframe 2 is optional and defaults to Daily.
Timeframe 3 is optional and defaults to Weekly.
Each timeframe has:
Its own RSI period (len, len2, len3).
Its own smoothing length (slen, slen2, slen3).
The same smoothing type selection (EMA, HMA, etc).
This creates a layered view:
TF1 often reflects tactical pressure (entries/exits).
TF2 reflects structural pressure (swing context).
TF3 reflects macro bias (regime context).
When multiple timeframes agree, the fills stack and the overlay becomes visually louder. When they disagree, the overlay looks mixed or muted, which is exactly the point.
Smoothing options (why so many)
Raw RSI can be noisy. This script lets you smooth RSI with multiple MA types, which changes how “responsive” the overlay feels:
EMA/RMA smooth without lagging as hard as SMA.
HMA responds faster but can be twitchy.
LINREG can feel more “structural”.
ALMA and T3/TEMA provide heavier smoothing profiles with different lag characteristics.
This isn’t cosmetic. Your smoothing choice affects:
How early the overlay “lights up” in Trend mode.
How long extremes remain highlighted in Mean-Reversion mode.
How often fills flicker in chop.
Strength mapping (the transparency buckets)
Instead of mapping RSI to a continuous color scale, the script uses a discrete transparency ladder. That creates a clean, readable visual that avoids constant flickering.
The logic assigns two transparency values per timeframe:
Upper-side transparency responds to lower RSI zones (weak upside strength).
Lower-side transparency responds to higher RSI zones (strong upside strength).
Then the script uses those transparencies differently depending on mode:
Trend mode shows “strength aligned with direction”.
Mean-Reversion mode swaps the emphasis so “extremes” stand out as potential stretch.
You can think of it as:
Trend mode highlights continuation strength.
Mean-Reversion mode highlights potential exhaustion.
Fill stacking (how the overlay is built)
The overlay uses layered fills:
Fill from price to Band 1
Fill from Band 1 to Band 2 (if enabled)
Fill from Band 2 to Band 3 (if enabled)
Upper side uses the negative color (typically red) and lower side uses the positive color (typically green), because upper bands represent “above price” space and lower bands represent “below price” space. The intensity is controlled by the computed transparency per timeframe and selected mode.
Important behavior:
Disabling Band 2 or Band 3 can change how the stacked fills look, because you are removing fill segments.
If you want a clean look, run only Band 1.
If you want a “regime heat” look, run Bands 1–3 with higher scaling.
Table (MTF RSI dashboard)
A compact table prints RSI values for each configured timeframe:
Row labels show TF.
Values show the smoothed RSI output that drives the overlay.
Use it for quick confirmation:
If overlay looks strong but table RSI is neutral, your band settings might be too tight.
If TF3 RSI is extreme while TF1 is neutral, you are likely in a macro stretched regime with local consolidation.
Alerts (built-in)
Alerts are provided for each timeframe separately, covering:
Entering upper extreme (cross above 70)
Exiting upper extreme (cross below 70)
Entering lower extreme (cross below 30)
Exiting lower extreme (cross above 30)
Bullish midline cross (cross above 50)
Bearish midline cross (cross below 50)
This enables workflows like:
Notify when TF2 enters extreme, then wait for TF1 mean-reversion confirmation.
Notify when TF3 crosses midline, then only take TF1 trend setups in that direction.
How to use it (practical reads)
Trend mode reads
Strong continuation: TF1 and TF2 fills become clearly visible on the same side.
Healthy pullback: TF1 fades but TF2 stays visible, suggesting underlying structure remains strong.
Chop warning: fills alternate or remain mostly invisible, indicating neutral strength.
Mean-Reversion mode reads
Exhaustion zones: outer fills become prominent near the extremes, signaling stretched conditions.
Compression after extreme: fill fades while price stabilizes, suggesting “cooling off” rather than immediate reversal.
Multi-TF stretch: TF2 and TF3 extremes together often mark higher significance zones.
Recommended setup presets
Preset A: Clean trend overlay
Mode: Trend
Bands: only Band 1
Scale: 1–2
Smoothing: EMA, moderate slen (6–10)
TF2: Daily on intraday charts
Preset B: Regime and exhaustion mapper
Mode: Mean-Reversion
Bands: Bands 1–3
Scale: 2–4
Smoothing: T3 or RMA, slightly higher slen
TF2: Daily, TF3: Weekly
Limitations
This is a strength visualization tool, not a full entry/exit system.
Percent bands are not volatility-adjusted, they are distance frames. In very high vol conditions, you may need higher band percentages or higher scaling.
MTF values update on their own timeframe closes, so higher timeframes will step rather than update every bar.
Nexus Flow ProNexus Flow Pro is a trading tool that combines "deep trend insight" with "precise trading signals." It navigates trending waves and accurately displays reversal signals; it is one of the most logically sound and visually appealing oscillator indicators.
This indicator employs a "dual-engine" logic, isolating and layering market trends:
Primary Engine: Based on an enhanced T3 smoothing algorithm, it captures the market's medium- to long-term trends. Visually, it serves as the background of the main chart, providing clear trend guidance.
Secondary Engine: Responsible for fine-grained momentum filtering and crossover point identification. It displays intensely contested price points in a more compact and lightweight manner, combining this with the main trend guidance to identify correct trading opportunities.
Each dot represents a different voice in the market, used to observe market dynamics and identify genuine trading opportunities.
Use 【Advanced Dynamic RSI Pro】 to determine market depth and avoid making the wrong entry point.
RSI Divergence + RSI Indicator MegartCombined RSI Divergence Indicator and RSI.
Highlights important RSI levels 70–80–90 and 30–20–10.
All calculations are always based on standard Japanese candlesticks, even when used on other chart types.
S/R + RSI + EMA + Trend"Multi-functional All-in-One Indicator optimized for the Crypto market. The system combines 5 core components to identify precise entry and exit points:
* Trend: A zero-lag EMA algorithm integrated with Volatility Bands that dynamically changes the candle colors. This serves as the primary trend filter, helping traders ride long waves and eliminate sideways noise.
* Dynamic Support & Resistance: Automatically identifies key price reaction zones based on Pivot Points, featuring price labels and real-time distance percentages.
* Multi-Timeframe (MTF) RSI: An on-screen RSI dashboard tracking timeframes from 1-minute to 1-day, allowing for quick monitoring of market-wide overbought and oversold conditions.
* Classic EMA System: Includes 4 exponential moving averages (34, 89, 200, 633) acting as psychological levels and long-term trend bias.
* Auto-Trendlines: Automatically plots trendlines once new swing highs and lows are confirmed."
Skylark Digital Assets Monthly FLPSkylark Digital Assets’ Monthly Financial Liquidity Proxy (FLP) is a monthly, regime-focused macro indicator designed to summarize broad financial conditions into a single, stable signal.
This version is the core Monthly FLP only—intended for straightforward liquidity regime tracking—without the additional seasonal classification logic used in other variants.
What you see
Monthly FLP (confirmed): A consolidated monthly liquidity gauge that is held stable on intramonth bars to avoid “mid-month” distortions. The series is designed to reflect the underlying state of conditions at the monthly level rather than short-term noise.
Optional Monthly FLP EMA: A smoothing/trend filter that helps highlight structural shifts and reduces month-to-month volatility.
Midline reference: A neutral reference level for quick above/below regime interpretation.
How to use it
Macro regime context: Use the Monthly FLP as a higher-timeframe backdrop for understanding when conditions are broadly improving or tightening.
Cycle confirmation: The monthly timeframe reduces noise and is best suited for identifying longer-cycle transitions rather than short-term trades.
Asset overlays: Add the FLP to any chart (crypto, equities, FX, rates, commodities) to compare whether price is moving with or against the broader liquidity regime.
Notes
This script is intended for research and visualization. It is not a trading strategy and does not provide guaranteed signals. Always apply independent confirmation and risk management.
Advanced Dynamic RSI Pro40-60
Oscillation Phase: Market is in consolidation. Expect sideways movement with no clear trend.
>60
Bullish Signal: A breakout above 60 confirms upward momentum and trend strength.
<40
Bearish Signal: Dropping below 40 confirms a downward trend and selling pressure.
The depth of the MA (reaching levels above 70 or below 30) clearly visualizes extreme Overbought or Oversold market conditions.
Forward Money Index x Financial Liquidity Proxy Skylark Digital Assets Forward Money Index x Financial Liquidity Proxy is a two-layer liquidity dashboard designed to show broad, slow-moving liquidity conditions alongside a smoothed forward-conditions signal that can be shifted ahead in time for visual comparison.
At its core, the chart has three roles:
Baseline Liquidity Regime (FLP – Monthly, Confirmed)
The primary line represents a consolidated view of monthly liquidity conditions across a diversified set of markets. It’s constructed to behave like a regime gauge—rising during periods where financial conditions are broadly improving and falling during periods where conditions are tightening. Because it uses confirmed monthly values, it avoids the “mid-month repaint” effect and is intended to be interpreted as a stable, end-of-month state.
Trend Filter / Regime Smoother (FLP EMA)
The FLP EMA is a slower companion line that reduces month-to-month noise and helps define whether liquidity is structurally expanding or contracting. In practice, this line is the “signal stabilizer”: it makes longer-cycle transitions clearer, reduces overreaction to single-month spikes, and helps you distinguish between temporary wobble vs true regime shift.
Forward Conditions Overlay (Forward Money Index – Displayed as EMA3 & EMA6 only)
The forward overlay is intentionally not shown in its raw form. Instead, it is used internally and then displayed only through two smooth versions:
a short smoothing (3-month EMA), labeled as the “Forward Money Index (FMI)” in the settings, and
a medium smoothing (6-month EMA), shown as a dotted companion line.
This creates a clean “fast vs slow” forward-conditions pair. The short version reacts sooner and highlights turning points earlier; the longer version confirms whether the shift is persistent. When both are rising together, it suggests strengthening conditions; when the shorter line rolls over and converges down toward the longer line, it indicates that the impulse is fading even if conditions remain elevated.
Lead / Offset behavior (visual forecasting lens)
The FMI pair can be shifted forward by a chosen number of months, allowing you to compare whether shifts in forward conditions tend to precede changes in the broader liquidity proxy. This is not presented as a deterministic forecast; it’s a visual tool to examine phase relationships across cycles. Different environments can compress or expand lead times, so the offset is best treated as a “lens” rather than a fixed law.
Midline reference
A 50 midline provides a neutral reference level so both the proxy and the forward overlay can be interpreted in simple regime terms: above the midline generally corresponds to more favorable conditions, while below corresponds to tighter or weaker conditions.
Why the smoothing matters
By plotting only the 3M and 6M EMA versions of the forward signal, the indicator avoids overemphasizing short-term noise and instead focuses on structural turns—the part of the signal that tends to matter most for multi-month regime interpretation. This makes it useful for:
identifying early inflections that may precede broader liquidity shifts,
confirming whether changes are impulsive (fast line leading) or durable (both lines aligned), and
tracking the decay of an impulse when the fast line begins to fade toward the slow line.
Overall, the chart is meant to function as a monthly macro dashboard: FLP shows where broad liquidity conditions are now, FLP EMA shows the underlying trend regime, and the FMI EMA pair provides a smoothed forward-conditions overlay to help evaluate whether the next regime transition may already be forming.
RSI + MACD (RSI Divergence) V3.2
RSI + MACD (RSI Divergence)
This indicator combines RSI divergence detection with a scaled MACD overlay to help traders visualize momentum structure and divergence more clearly in a single pane.
Instead of using RSI and MACD as isolated signals, this script focuses on relative movement, swing structure, and divergence logic, making it especially useful for discretionary traders who analyze momentum behavior rather than fixed indicator levels.
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Key Features
RSI Divergence Engine
• Detects Regular Bullish / Bearish Divergence
• Optional Hidden Divergence (for trend continuation)
• Uses confirmed pivot logic (left/right lookback) to avoid repainting
• Adjustable divergence range to filter weak or overly distant signals
RSI is shifted by -50 to center it around zero, allowing better visual alignment with MACD without affecting divergence logic.
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Scaled MACD Overlay (Visual Momentum Only)
• MACD, Signal, and Histogram are rescaled dynamically to match the RSI oscillator range
• Designed for wave structure, phase comparison, and momentum timing
• Not intended as a traditional MACD signal generator
• Helps identify momentum agreement or disagreement with RSI divergence
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Clean & Practical Design
• Single pane display (no chart clutter)
• Color warnings for RSI overbought / oversold zones
• Adjustable scaling lookback for different markets and timeframes
• Optimized for smooth performance and non-repainting behavior
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How to Use
• Best used on indices, crypto, and liquid forex pairs
• Combine RSI divergence signals with:
o Market structure
o Support / resistance
o Trend context
• Use the MACD overlay to:
o Confirm momentum shifts
o Spot early loss of strength
o Compare oscillator phase alignment
This indicator is best suited for analysis and confirmation, not mechanical entry signals.
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Notes
• MACD values are scaled for visualization only and do not represent real MACD values
• Divergence signals are confirmation-based, not predictive
• No repainting once pivots are confirmed
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Who Is This For?
• Swing traders
• Momentum & divergence traders
• Traders who prefer structure-based confirmation over raw indicator signals
• Anyone who wants RSI & MACD behavior in a single, readable oscillator
Enjoy and happy trading!
DISCLAIMER
This script is intended for informational and educational purposes only. It does not constitute financial, investment, or trading advice. All trading decisions made based on its output are solely the responsibility of the user
LU+TLTraplight + Level Up — Dynamic Trading Indicator
Traplight + Level Up is a fully integrated dynamic trading script designed to help traders identify high-probability decision zones in real time. By merging the precision of Traplight with the structure of Level Up, this script delivers clear visual guidance for both trade entries and profit protection.
Key Features & Purpose
• Key Level Detection
Automatically highlights critical price levels where trades may be initiated or profits secured.
• Overbought & Oversold Conditions
Clearly discloses when an instrument is stretched beyond equilibrium, helping traders anticipate potential reversals or pullbacks.
• Advanced Cross Alerts
Provides real-time alerts for:
• Kriss Kross
• Golden Kriss
• Death Kross
These signals help traders recognize momentum shifts, trend confirmations, and possible trend exhaustion.
Designed for Clarity & Confidence
Traplight + Level Up removes guesswork by combining structure, momentum, and market condition awareness into a single dynamic script. Whether you are planning entries, managing open trades, or securing profits, this tool keeps your focus on what matters most: price behavior at key levels.
Monthly Financial Liquidity Proxy Seasons 2.0The Skylark Digital Assets Monthly Financial Liquidity Proxy (FLP) — Seasons 2.0 converts a long-horizon liquidity signal into a clean, regime-based seasonal map that helps identify where markets likely sit in the broader liquidity cycle.
Core signal: A monthly composite liquidity proxy, normalized so diverse markets can be combined into a single, comparable oscillator.
Smoothing layer: A 12-month EMA is used to reduce noise and emphasize durable regime shifts.
Season regimes (EMA-based):
Winter (Blue): EMA ≤ 49 → tighter liquidity / risk-off tendency.
Spring (Yellow): EMA 50–59 → improving liquidity / transition regime.
Summer (Green): EMA ≥ 60 → abundant liquidity / risk-on tendency.
Fall (Red): triggers on 3 consecutive declining EMA months, only if EMA is ≥ 50 → late-cycle cooling/rollover behavior.
Anti-“blip” logic (Seasons 2.0): A new season is only recognized after it persists for at least 3 months, filtering out 1-month regime flickers.
Visual backfill: Once a season is confirmed (month #3), the script visually backfills the prior months so the regime appears from the start of the run—without changing the underlying confirmation rule.
Net: Monthly FLP Seasons 2.0 is a cycle-context tool—built to highlight durable liquidity regimes and transitions, not to overreact to short-term noise.
Skylark Digital Assets Daily FLP SnapshotThe Skylark Digital Assets Daily Financial Liquidity Proxy (Daily FLP) is a snapshot-style indicator designed to track the market’s current liquidity tone using a single standardized daily reading.
What it measures: A daily composite “liquidity impulse”—whether conditions are broadly tightening or easing across key global risk and rate benchmarks.
How it’s built (high level): It blends multiple major markets into one equal-weighted composite, using a normalized momentum framework so very different assets can be compared on the same scale.
Why “snapshot-safe”: The daily value is computed as a stable daily print (one clean value per day), so it avoids noisy intraday flicker and stays consistent when viewed on different chart timeframes.
How to interpret it:
Higher readings generally align with easier financial conditions / risk-on regimes.
Lower readings generally align with tighter conditions / risk-off regimes.
The Daily FLP is most useful for regime context, not as a standalone trade trigger.
How it’s used: As a macro timing and risk-management overlay—a way to contextualize positioning, confirm broader market shifts, and monitor transitions from tightening to easing (and vice-versa).
BB + RSI Div + Volume + VWAP (4H Perp Short Alert) - SafeThis Indicator use Bollinger Band + RSI Div + Volumne + VWAP for shorting Mid and Small Cap token in 4H timeframe
RSI > 70 Buy / Exit on Cross Below 70This strategy buys when the RSI (Relative Strength Index) closes above 70, indicating strong market momentum. It closes the position as soon as the RSI crosses down and falls below 70, to secure profits before a possible reversal.
In summary:
Entry: RSI > 70
Exit: RSI crosses down below 70
It’s a momentum-based strategy that aims to take advantage of strong trends but exits as soon as the momentum weakens.
Project Pegasus SpectraProject Pegasus Spectra — Volume-Weighted Core is a dedicated pane-based indicator designed to visualize volume-derived buy/sell pressure, momentum states, and extreme flow events in a clean, professional layout. It translates standard OHLCV data into an orderflow-inspired structure using Pressure Candles, PA-FL Momentum (δ/ATR), an optional momentum heatmap, and optional context markers (Imbalance, Climax, Exhaustion).
The goal is not to generate trade signals, but to provide a stable, low-noise visual framework for understanding pressure, momentum, and intensity across different markets and volatility regimes.
Core Components
1) Pressure Candles (Synthetic Buy / Sell Pressure)
Spectra estimates buy and sell volume within each candle using a price-weighted volume distribution:
Buy volume ≈ volume × (close − low) / (high − low)
Sell volume ≈ volume × (high − close) / (high − low)
From this, synthetic pressure candles are constructed to highlight:
buy vs sell dominance within each bar
gradual pressure shifts
sudden pressure expansions or extremes
Pressure Style
Net – single candle showing net pressure (buy − sell)
Split Buy/Sell – buy pressure above zero, sell pressure below zero (clear dominance view)
Pressure Mode
Raw – fully reactive, unsmoothed pressure
Smooth body + raw wick – candle body is EMA-smoothed, while wicks preserve raw extremes
→ cleaner visuals without hiding pressure spikes
Visual Control
Multiple color presets (Match Palette, Neon, Ocean, Sunset, Classic, Midnight)
Optional fully custom colors
Independent body and wick transparency, allowing pressure to act as a subtle context layer rather than visual noise
2) PA-FL (Price-Adaptive Flow Line) Momentum — δ / ATR
PA-FL is the main flow engine of Spectra.
It computes a volume-adaptive baseline (EMA-style), optionally blended with VWAP, and measures momentum as baseline delta normalized by ATR.
Why δ / ATR?
Makes momentum comparable across:
different symbols
varying volatility regimes
different sessions and market conditions
PA-FL Features
Optional VWAP blend for session anchoring
Adaptive baseline length driven by relative volume
Optional Zero-Lag smoothing (ZLEMA) to reduce delay
Optional clamping to prevent rare spikes from dominating the scale
Visualization
Histogram + Line
Color intensity scales with |δ|
Optional regime tinting (trend vs range) for contextual awareness rather than hard signals
3) Momentum Heat Background (PA-FL Heatmap)
An optional background heatmap driven by |δ / ATR|.
Purpose:
Quickly visualize momentum intensity without reading exact values
Act as a situational backdrop, not a signal layer
Interpretation
Low heat → neutral / balanced phase
Rising heat → momentum expansion
Strong heat → impulse or extreme activity
Fully adjustable via:
minimum / maximum transparency
intensity scaling
gamma contrast
This allows anything from barely visible to clearly readable, depending on preference.
4) Display Normalization (Stable Axis)
When enabled, Pressure and Rolling Delta are normalized into a stable ±100-style range using percentile-based amplitude estimation plus a hard clamp.
Benefits:
consistent pane scaling across sessions and symbols
prevents single outlier bars from stretching the display
cleaner, professional multi-symbol workflows
Normalization affects display only, not internal calculations.
5) Rolling Delta (Optional Context)
An optional, subtle rolling delta line that shows cumulative pressure drift over a defined window.
The visibility scale affects display only and does not alter the underlying delta calculation.
Optional Context Markers (Sparse by Design)
Imbalance Dot
Marks bars where absolute delta exceeds a threshold:
automatic (average |Δ| × factor)
or manual (fixed value)
Use as a context alert, not a standalone entry trigger.
Climax Detector
Flags unusually large buy or sell volume relative to its average.
Typical use cases:
stop-run / liquidation-like activity
momentum kick-offs or exhaustion points
Exhaustion Filter
Combines:
high total volume relative to average
unusually small net delta
Often associated with absorption-like or exhaustion behavior, depending on market context.
Suggested Workflows
Clean Pro Layout
Pressure Candles ON with high transparency
PA-FL Histogram + Line ON
Heatmap ON (subtle)
Normalization ON
More Orderflow-Like Feel
Pressure Style: Split Buy/Sell
Smooth body + raw wick
Optional Climax markers
More Event-Focused Context
Enable Imbalance and Climax sparingly
Use Exhaustion only when specifically analyzing absorption behavior
Important Notes & Disclaimer
Spectra is based on OHLCV-derived volume estimation.
It is not true bid/ask delta, not footprint data, and not time & sales.
All markers and visual elements are informational, not trade signals.
Interpretation depends on symbol, timeframe, session, and data feed.
Always combine with market structure, levels, and risk management.
MTG v2MTG v2 is a complete trend-following trading system that combines:
PSAR (Parabolic SAR) - Trend direction
200 EMA - Trend direction
EMAs (5, 13, 50) - Momentum confirmation
AMA (Adaptive Moving Average) - Intelligent exits
Smart Filters - Volume, ATR, choppy market detection
Purpose: Catch strong trends early and ride them for maximum profit.
Quality-Controlled Trend Strategy v2 (Expectancy Focused)This script focuses on quality control rather than curve-fitting.
No repainting, no intrabar tricks, no fake equity curves.
It uses confirmed-bar entries, ATR-based risk, and clean trend logic so backtests reflect what could actually be traded live.
If you publish scripts, this is the minimum structure worth sharing.
Why this script exists
TradingView’s public scripts are flooded with:
repainting indicators
no stop-loss logic
curve-fit entries that collapse live
strategies that look good only in hindsight
This script is intentionally boring but honest.
No repainting.
No intrabar tricks.
No fake equity curves
The goal is quality control, not hype.
What this strategy enforces
✔ Confirmed bars only
✔ Single source of truth for indicators
✔ Fixed risk structure
✔ No signal repainting
✔ Clean exits with unique IDs
✔ Works on any liquid market
Trading Logic (simple & auditable)
Trend filter
EMA 50 vs EMA 200
Entry
Pullback to EMA 50
RSI confirms momentum (not oversold/overbought)
Risk
ATR-based stop
Fixed R:R
One position at a time
This is the minimum bar for a strategy to be considered publish-worthy.
Why this helps TradingView quality
Most low-value scripts fail because they:
hide repainting logic
skip exits entirely
use inconsistent calculations
rely on hindsight candles
This strategy forces discipline:
every signal is confirmed
every trade has defined risk
behavior is repeatable across symbols & timeframes
If more scripts followed this baseline, TradingView’s public library would be far more usable.
Stochastic MAs+ (K Logit Bands)Below is a ready-to-paste **English TradingView publish description** that is detailed enough to satisfy the “Originality & usefulness” and “Description” house-rule expectations. It explains **what is original**, **why the components are combined**, **how they work together**, and **how to use it**, including practical presets and cautions.
---
## Title
**Stochastic MAs+ (K Logit Bands) — Extreme-Zone Reversion with Adaptive Percentile Bands**
## Overview
This script is a **Stochastic-based extreme-zone tool** designed for traders who want signals that occur **near statistically-defined extremes**, while reducing noise and overtrading.
It combines three ideas into one coherent workflow:
1. **Stochastic %K/%D with selectable smoothing MAs** (EMA/ZEMA/SMA/KAMA)
2. **Adaptive Logit Percentile Bands** computed **on %K** (not price) to define “extreme” zones dynamically
3. A **two-step signal workflow** (Touch → Re-entry → First K/D Cross) with **cooldown + invalidation rules** to suppress repeated signals in choppy markets
This is not a “mashup for convenience.” The logit-percentile bands and the signal state-machine are explicitly built to **solve a common Stochastic problem**: fixed 20/80 levels are often too generic, and raw K/D crosses can fire repeatedly in ranges. The components here work together to make Stochastic extremes more **context-aware** and signals more **selective**.
---
## What makes it original / useful
### 1) Dynamic extremes based on the oscillator’s own distribution
Instead of using fixed 20/80, the script builds **percentile-based bands on transformed %K values**:
* **Logit transform** is used to expand sensitivity near 0 and 100 (where Stochastic tends to compress).
* A rolling buffer stores recent transformed values.
* **Percentiles** (e.g., 15% / 85%) define adaptive low/high bands that respond to changing volatility regimes.
Result: “Extreme” zones are **relative to recent market behavior**, which is often more practical than static thresholds.
### 2) A structured signal process to reduce overtrading
Classic Stochastic crossovers can spam signals. This script uses a **state-based trigger**:
**Long logic**
1. %K drops below the **adaptive low band** (touch/arm)
2. %K re-enters above the low band (re-entry)
3. The first bullish crossover occurs (K crosses above D) while K remains below the mid-band
**Short logic** is symmetrical.
Then it adds:
* **Cooldown**: prevents clustered entries during noisy periods
* **Max wait**: invalidates old setups if confirmation takes too long
* **Mid-band invalidation**: if K moves too far (crosses mid), the setup is considered late and discarded
This turns Stochastic into a **controlled mean-reversion trigger** rather than an always-on crossover machine.
---
## How it works (plain-language)
### A) Stochastic with selectable smoothing (MAK/MAD)
* `%K` is computed from the standard Stochastic formula, then smoothed with your chosen MA.
* `%D` is computed by smoothing `%K` with a chosen MA.
**MA options**
* **EMA**: baseline responsive smoothing
* **ZEMA**: reduced lag (faster reactions)
* **SMA**: heavier smoothing (less noise)
* **KAMA**: adaptive smoothing (reacts faster when price moves, slower in noise)
### B) K-based Logit Percentile Bands
The script builds bands from **%K**, not from price:
* Convert K into logit space → store in rolling buffer
* Compute low/high percentiles in logit space
* Convert back to 0–100 space with logistic function
* Produce: **kLo / kHi / kMid**
This keeps the bands stable and meaningful even when volatility changes.
### C) Signal state-machine
* **Touch**: K enters extreme zone
* **Re-entry**: K exits the extreme zone
* **Trigger**: first K/D cross after re-entry, while still in the “early” half of the band (before mid)
The idea is to catch reversals **early**, but not on the very first noisy bounce.
---
## How to use
### 1) Baseline setup (recommended starting point)
These defaults are already aligned with the script’s intent:
* Stoch: **21 / 3 / 7**
* Bands: **bandLen 200**, **low/high 0.15/0.85**, **logitGain 1.0**
* Signals: **cooldown 8**, **maxWait 24**, **Use D Direction Confirm ON**
This typically produces fewer, more selective signals than traditional 14/3/3 style settings.
### 2) Interpreting the plots
* **%K (purple)** and **%D (yellow)** are the smoothed oscillator lines.
* **kLo / kHi / kMid** are the adaptive bands.
* Labels:
* **“L”** appears near the low band when a long setup completes
* **“S”** appears near the high band when a short setup completes
### 3) Practical trading workflow
* Prefer using signals as **timing cues**, not as a complete strategy by themselves.
* Many traders combine this with:
* a trend filter (e.g., EMA200 direction)
* a volatility filter (avoid low-vol chop)
* or higher timeframe confirmation
The script is designed to give **high-quality entry timing near extremes**, but you still need a trade plan for exits and risk management.
---
## Tuning guide (fast)
### Want signals closer to extremes (more selective)?
* Decrease / increase percentiles:
* lowPct **0.12** and highPct **0.88**
* Increase logitGain slightly:
* logitGain **1.1–1.2**
* Increase cooldown:
* cooldown **10–14**
### Want earlier signals (faster confirmations)?
* Use faster MA for %D (or reduce periodD):
* maD = **ZEMA** (or EMA)
* Reduce cooldown a bit:
* cooldown **5–8**
### Getting too many signals in ranges?
* Increase periodK to reduce chop:
* periodK **34**
* Increase cooldown
* Keep D confirm enabled
---
## Strengths
* **Adaptive extreme zones**: bands adjust to changing regimes (better context than static 20/80)
* **Reduced noise**: the Touch→Re-entry→Cross structure avoids many “random” crosses
* **Configurable smoothing**: lets you tune response vs stability via MA type
* **Risk-friendly by design**: cooldown + invalidation reduce repeated entries during chop
## Limitations
* **Not a full strategy**: no position management, take-profit/stop rules, or trend filter included
* **Mean-reversion bias**: in strong trends, Stochastic can stay overbought/oversold for long periods
* **Band buffer needs history**: percentile bands are more reliable after enough bars have accumulated (bandLen)
---
## Notes on repainting / confirmations
* The percentile band buffer uses **confirmed bars** (optional) to avoid unstable band updates during an incomplete candle.
* Signal labels are plotted when the full signal conditions are met (you can enforce confirmed-bar signals via settings).
---
## Suggested disclaimer (TradingView-friendly)
This indicator is for research and educational purposes and does not constitute financial advice. Always test settings on your market/timeframe and use proper risk management.
