BTC - Sentiment (Posts weighted) LSMABTC - Sentiment (Posts Weighted) LSMA | RM
Concept
In the current 2026 market regime, Bitcoin has transitioned into a mature institutional asset. However, retail "Social Liquidity" remains the primary driver of local volatility and blow-off tops. This script serves as a deterministic proxy for crowd conviction, utilizing the LUNARCRUSH:BTC_SENTIMENT feed to identify when social hype has decoupled from fundamental value.
Data Source: LunarCrush Integration
This model utilizes the native LunarCrush data prefix. Unlike simple "mention counts," the BTC_SENTIMENT metric is a percentage-based value (0-100%) representing the "Sentiment of positive posts weighted by interactions."
• Interactions vs. Volume: By weighting sentiment by interactions (likes, shares, comments), the data filters out bot-driven "spam" and focuses on what real participants are actually engaging with.
• Meaning of the Value: 100% indicates that every single interaction-weighted post is positive; 0% indicates total negativity. Historically, BTC sentiment rarely drops below 60% or stays above 90% for long, creating a predictable mean-reverting corridor.
Technical Architecture
• The LSMA Denoising Engine Raw social data is inherently "jittery." To extract a tradable signal, we apply a Least Squares Moving Average (LSMA) with a 28-day lookback.
• Mathematical Advantage: Unlike a Simple Moving Average (SMA), the LSMA calculates a linear regression line for each period to find the "best fit." This allows the indicator to track the velocity of sentiment shifts with significantly less lag, which is critical for identifying "Social Exhaustion" before a price reversal occurs.
• The Social Heat Index (SHI) Calculation: To align this data with the broader Rob Maths ecosystem, we normalize the LSMA output into a standardized 0–10 score using a Linear Feature Scaling (Min-Max) formula: SHI = ((Current LSMA - 65) / 25) * 10 ; This formula treats 65% as the "Floor" (Apathy) and 90% as the "Ceiling" (Hysteria). This 0–10 scale allows for immediate comparison against other institutional risk metrics.
Regime Audits & Usage
• Accumulation (Blue Zone / <72.5%): Social Despair. Retail interest is at a mathematical minimum. Historically, these periods of "Social Apathy" coincide with major local bottoms as institutional "Smart Money" absorbs the lack of retail demand.
• Neutral Zone (Grey): Sustainable growth. Sentiment is within the normal distribution.
• Distribution (Red Zone / >82.5%): Overheated. The crowd is in a state of maximum FOMO. When the SHI exceeds 8.5/10, the risk of a "Liquidity Flush" increases significantly.
Visual Scaling
To ensure the curve is readable, the indicator pane is hard-locked to a 65–90 scale. This prevents the "flat line" effect often seen in 0-100 oscillators and highlights the subtle divergences that occur at cycle peaks.
Disclaimer
Past performance does not guarantee future results. Social metrics are alternative data points and should be used in conjunction with price action and risk management. This is a mathematical model, not financial advice.
Tags
Rob Maths, Rob_Maths, robmaths, Bitcoin, Sentiment, LunarCrush, Quant, LSMA, OnChain, Social Liquidity
M-oscillator
Multi-Indicator Scoring System# Multi-Indicator Scoring System
## Overview
This indicator combines five technical analysis tools (RSI, MACD, EMA trends, and Volume) into a single unified scoring system that generates clear BUY and SELL signals. Instead of analyzing multiple indicators separately and dealing with conflicting signals, this script calculates one comprehensive 0-100% score that shows current market strength at a glance.
## Purpose and Originality
**Problem it solves:**
Traders using multiple indicators individually often face contradictory signals. For example, RSI might show oversold conditions while MACD indicates bearish momentum, or price is above EMA but volume is weak. This creates confusion and leads to poor trading decisions or missed opportunities.
**Solution:**
This script uses a weighted scoring algorithm that only generates signals when multiple technical components mathematically agree. Each indicator contributes weighted points based on its reliability in crypto markets, and the combined score filters out noise by requiring multi-indicator confirmation before triggering a signal.
**What makes it original:**
Unlike simple indicator overlays that just display multiple tools side-by-side, this script:
- Uses a mathematically weighted scoring system where each component has justified importance
- Requires conditional alignment—signals only appear when components agree, not just individual crossovers
- Normalizes complex multi-indicator data into one intuitive percentage
- Includes built-in volume confirmation to filter low-conviction setups
This approach mirrors professional algorithmic trading systems that use multi-factor quantitative models.
## How Components Work Together
The script analyzes five technical components and assigns weighted points to each:
### 1. RSI (Relative Strength Index) - Weight: 25 points
- **Period:** 14
- **Function:** Identifies overbought and oversold conditions
- **Scoring logic:**
- RSI < 30 (oversold) → +25 points (bullish reversal signal)
- RSI > 70 (overbought) → -25 points (bearish reversal signal)
- RSI between 30-70 → 0 points (neutral)
- **Why 25 points:** RSI is highly reliable for detecting potential reversal zones in cryptocurrency markets
### 2. MACD (Moving Average Convergence Divergence) - Weight: 25 points
- **Parameters:** Fast=12, Slow=26, Signal=9
- **Function:** Detects momentum shifts and trend changes
- **Scoring logic:**
- MACD line > Signal line → +25 points (bullish momentum)
- MACD line < Signal line → -25 points (bearish momentum)
- **Why 25 points:** MACD is the gold standard for momentum confirmation across timeframes
### 3. EMA Short-Term Trend (21 vs 50) - Weight: 25 points
- **Function:** Confirms immediate trend direction
- **Calculation:** Compares EMA 21 to EMA 50, plus price position relative to EMA 21
- **Scoring logic:**
- EMA 21 > EMA 50 AND Price > EMA 21 → +25 points (strong uptrend)
- EMA 21 < EMA 50 AND Price < EMA 21 → -25 points (strong downtrend)
- Mixed conditions → 0 points (no clear trend)
- **Why 25 points:** Short-term trend alignment is critical for accurate entry timing
### 4. EMA Long-Term Context (200) - Weight: 15 points
- **Function:** Validates overall market structure
- **Calculation:** Price position relative to 200-period EMA
- **Scoring logic:**
- Price > EMA 200 → +15 points (bull market context)
- Price < EMA 200 → -15 points (bear market context)
- **Why 15 points:** Lower weight because long-term trend changes more slowly
### 5. Volume Confirmation - Weight: 10 points (Bonus)
- **Function:** Confirms genuine market interest versus noise
- **Calculation:** Current volume compared to 20-period SMA
- **Scoring logic:**
- Volume > 1.5× average → +10 bonus points
- Volume ≤ 1.5× average → 0 bonus points
- **Why 10 points:** Volume adds conviction but shouldn't override technical setup
### Score Aggregation Formula
**Why these thresholds?**
Backtesting on BTC/ETH showed optimal risk/reward at 65/35 levels. Lower thresholds (50%) produce too many false signals, while higher thresholds (80%) miss opportunities. The 65/35 balance provides good sensitivity with acceptable accuracy.
## How to Use This Indicator
### Visual Components
**On Chart:**
- **Green triangle (▲) below candle** = BUY signal (score crossed above 65%)
- **Red triangle (▼) above candle** = SELL signal (score crossed below 35%)
- Clean display with no background colors or extra lines
**Dashboard Table (top-right corner):**
- **Header:** "CRYPTO SIGNAL"
- **SCORE:** Current percentage (0-100%)
- Green color = Bullish zone (65%+)
- Red color = Bearish zone (35%-)
- Orange color = Neutral zone (36-64%)
- **SIGNAL:** Current status (BUY/SELL/WAIT)
### Interpreting the Score
- **70-100% (Strong Bullish):** All or most indicators agree market is going up. Consider long positions.
- **65-69% (BUY Signal Zone):** Enough confirmation for entry. BUY signals trigger here.
- **36-64% (Neutral Zone):** No clear direction. Wait for clearer setup or maintain existing positions.
- **31-35% (SELL Signal Zone):** Enough confirmation for exit. SELL signals trigger here.
- **0-30% (Strong Bearish):** All or most indicators agree market is going down. Avoid longs or consider shorts.
### Step-by-Step Usage
1. **Add to chart:** Click "Add to favorites" then add from your indicators list
2. **Check the score:** Look at the dashboard table in the top-right corner
3. **Wait for signals:**
- Green triangle appears = Consider buying
- Red triangle appears = Consider selling
- No triangle = Wait patiently for clearer setup
4. **Confirm with price action:** Best results when signals appear at support/resistance levels
5. **Use risk management:** Always set stop losses (3-5% below entry for longs)
6. **Set alerts (optional):** Right-click indicator → "Add alert" → Choose "BUY Signal" or "SELL Signal"
### Best Practices
**Recommended Timeframes:**
- **4-Hour (4H):** Best for swing trading, optimal signal frequency (3-7 per month), lowest false signal rate
- **Daily (1D):** Best for position trading, very high reliability, ideal for patient traders
- **1-Hour (1H):** More signals but noisier, only for experienced traders
- **Below 15 minutes:** Not recommended, too many false signals
**Recommended Markets:**
- Bitcoin (BTCUSDT, BTCUSD) - Most reliable
- Ethereum (ETHUSDT, ETHUSD) - Excellent results
- Major altcoins (SOL, XRP, ADA, etc.) - Works well on top 20 by market cap
**Risk Management:**
- Position size: Risk only 1-2% of account per trade
- Stop loss: Place 3-5% below entry (BUY) or above entry (SELL)
- Take profit: Target 2-3× your risk distance
- Trail stops: Move to breakeven after 1:1 profit achieved
**Advanced Tips:**
- Combine signals with support/resistance levels for higher probability setups
- Check multiple timeframes: if 4H and 1D both show BUY, signal is stronger
- Wait for candle close before acting on signals
- Ignore signals against the higher timeframe trend direction
- Only trade signals accompanied by volume spikes (check dashboard)
## Default Settings
The indicator uses pre-optimized parameters based on backtesting:
- RSI Period: 14
- MACD: 12, 26, 9
- EMA Short-term: 21, 50
- EMA Long-term: 200
- Volume threshold: 1.5× average
- Signal thresholds: BUY ≥65%, SELL ≤35%
These settings are designed for cryptocurrency markets on 4H and 1D timeframes and do not require adjustment for most users.
## Limitations and Disclaimers
**What this indicator CANNOT do:**
- Predict black swan events (exchange hacks, major regulations, etc.)
- Work effectively during extreme market manipulation
- Replace proper risk management and stop losses
- Guarantee profits (no indicator can)
- Account for fundamental news (Fed decisions, major announcements)
**When signals may be less reliable:**
- Low volume periods (weekends, holidays)
- High-impact news events
- Extreme volatility (>10% daily price moves)
- Prolonged sideways/ranging markets
**Important warnings:**
- This is a technical analysis tool, not financial advice
- Past performance does not guarantee future results
- Always use stop losses to protect capital
- Test the indicator with small positions first
- Do your own research before trading
## Technical Specifications
- **Pine Script Version:** v5
- **Type:** Overlay indicator
- **Signals:** Non-repainting (confirmed at candle close only)
- **Calculation frequency:** Every bar recalculates based on current values
- **Alerts:** Available for BUY and SELL threshold crossings
- **Resource usage:** Optimized for efficient runtime performance
## Additional Notes
- Signals appear only once when threshold is crossed (no repeated signals during same trend)
- Volume filter helps eliminate low-conviction signals
- Works on any cryptocurrency pair with sufficient liquidity
- Can be combined with other indicators for additional confirmation
- Suitable for both beginners (simple visual signals) and experienced traders (customizable for deeper analysis)
---
**This indicator provides educational value by demonstrating how multi-indicator confirmation systems work and how weighted scoring can reduce false signals compared to using individual indicators alone.**
Bullish Divergent Bar DCA Strategy [Skyrexio]Overview
Bullish Divergent Bar DCA Strategy is a long-only, multi-layer Dollar-Cost Averaging (DCA) strategy that builds positions around bullish divergent bars formed below the Williams Alligator. It detects potential local bottoms and then scales into the move using up to four pyramiding entries, each with its own size and price threshold. The strategy optionally incorporates Market Facilitation Index (MFI) and Awesome Oscillator (AO) momentum to strengthen reversal confirmation and uses ATR-based take profit on the averaged entry price.
Unique Features
Layered DCA entries with equity-based sizing . It supports up to four DCA layers, where each additional layer is opened only after a configurable percentage drawdown from the first entry and position size is computed as a fraction of current equity via a geometric weighting scheme.
Optional AO and MFI confirmation . Users can require Awesome Oscillator momentum divergence, MFI/volume “squat” bars, or both to confirm that the reversal bar is accompanied by capitulation and weakening downside momentum.
ATR-based dynamic take profit . Take profit is defined as a multiple of ATR added to the current average entry price, automatically adjusting exits to prevailing volatility.
Built-in DCA visualization . The script can plot the initial entry level and all DCA thresholds to make the averaging structure and risk visually transparent on the chart.
Methodology
The core entry logic starts from a bullish divergent bar definition: the bar must close above its midpoint (close > hl2) and be the lowest low within the user-defined lookback window, flagging a local swing low. On top of this, the bar must form entirely below all three Alligator lines, ensuring that the pattern appears after a sustained downside move rather than inside noise.
If enabled, AO adds a momentum filter by requiring the Awesome Oscillator difference to be negative (descending bar on AO histogram), signaling fading downside momentum at the potential bottom. If the MFI filter is enabled, the bar (or one of the last two bars) must be a “squat” bar where spread narrows while volume increases, approximating effort vs. result exhaustion.
Once a valid bullish reversal bar is detected and the time is within the configured trading window, the strategy opens the first DCA layer using a stop entry at the bar’s high (confirmation level), only entering if price actually breaks the bar high. Additional layers (second, third, and fourth entries) are only allowed if price trades below percentage thresholds from the first entry price and a new valid bullish reversal bar forms, thereby averaging down into deep pullbacks while still requiring fresh reversal evidence.
While any DCA position is open, the strategy continuously recalculates the take profit as the current volume-weighted average entry price plus ATR multiplied by a user-defined factor. All individual entries share the same take profit level through separate strategy exit calls, so the entire stacked position exits together once price has moved sufficiently above the averaged entry.
Strategy settings
In the inputs window, users can configure the following strategy settings:
sourceUuid / secretToken: Identifiers used to format JSON alerts for automated execution through webhooks.
Trade Start Date/Time: Beginning of the backtest/live-trading window.
Trade Stop Date/Time: End of the backtest/live-trading window.
Show DCA Levels (default = false): Toggles plotting of the initial entry level and all three DCA thresholds on the chart.
Enable MFI (default = false): Enables the MFI-style volume/spread filter.
Enable AO (default = false): Enables Awesome Oscillator confirmation.
Number Of Bar For Lowest Bar (default = 7): Lookback window used to identify the lowest low bar for the bullish reversal bar condition.
Layer 2 Threshold Percent (default = 4.0): Percentage drop from the first layer price that must be reached to allow the second DCA entry.
Layer 3 Threshold Percent (default = 10.0): Percentage drop from the first layer price required to unlock the third DCA layer.
Layer 4 Threshold Percent (default = 22.0): Percentage drop from the first layer price required to unlock the fourth DCA layer.
Position Size Multiplier (default = 2.0): Multiplier used in the geometric weighting scheme to determine how much equity is allocated to each additional DCA layer.
Number Of ATR For Take Profit (default = 2.0): ATR multiple added to the current average entry price to calculate the shared take profit for all open layers.
Users can refine these parameters during backtesting to fit the volatility profile and structure of the specific asset and timeframe.
Justification of Methodology
Before understanding why this particular combination of indicator has been chosen let's briefly explain what is Williams Alligator, MFI and AO.
let’s start with the Williams Alligator. Developed by Bill Williams, the Alligator is a technical indicator that identifies trends and potential market reversals. It consists of three smoothed moving averages:
Jaw (Blue Line): The slowest of the three, based on a 13-period smoothed moving average shifted 8 bars ahead.
Teeth (Red Line): The medium-speed line, derived from an 8-period smoothed moving average shifted 5 bars forward.
Lips (Green Line): The fastest line, calculated using a 5-period smoothed moving average shifted 3 bars forward.
When the lines diverge and align in order, the "Alligator" is "awake," signaling a strong trend. When the lines overlap or intertwine, the "Alligator" is "asleep," indicating a range-bound or sideways market. This indicator helps traders determine when to enter or avoid trades.
The Awesome Oscillator (AO), developed by Bill Williams, is a momentum indicator designed to measure market momentum by contrasting recent price movements with a longer-term historical perspective. It helps traders detect potential trend reversals and assess the strength of ongoing trends.
The formula for AO is as follows:
AO = SMA5(Median Price) − SMA34(Median Price)
where:
Median Price = (High + Low) / 2
SMA5 = 5-period Simple Moving Average of the Median Price
SMA 34 = 34-period Simple Moving Average of the Median Price
The Market Facilitation Index (MFI) is a technical indicator that measures the price movement per unit of volume, helping traders gauge the efficiency of price movement in relation to trading volume. Here's how you can calculate it:
MFI = (High−Low)/Volume
MFI can be used in combination with volume, so we can divide 4 states. Bill Williams introduced these to help traders interpret the interaction between volume and price movement. Here’s a quick summary:
Green Window (Increased MFI & Increased Volume): Indicates strong momentum with both price and volume increasing. Often a sign of trend continuation, as both buying and selling interest are rising.
Fake Window (Increased MFI & Decreased Volume): Shows that price is moving but with lower volume, suggesting weak support for the trend. This can signal a potential end of the current trend.
Squat Window (Decreased MFI & Increased Volume): Shows high volume but little price movement, indicating a tug-of-war between buyers and sellers. This often precedes a breakout as the pressure builds.
Fade Window (Decreased MFI & Decreased Volume): Indicates a lack of interest from both buyers and sellers, leading to lower momentum. This typically happens in range-bound markets and may signal consolidation before a new move.
For our purposes we are interested in squat bars. This is the sign that volume cannot move the price easily. This type of bar increases the probability of trend reversal. In this indicator we added to enable the MFI filter of reversal bars. If potential divergent bar or two preceding bars have squat state this bar can be interpret as a reversal one.
The strategy intentionally focuses on bullish divergent bars forming at local lows and below the Alligator to catch potential exhaustion points in downtrends where risk/reward becomes asymmetric. The Alligator (Jaw, Teeth, Lips) acts as a dynamic structure filter: requiring price to be below all three lines before reversal helps avoid chasing minor pullbacks inside an ongoing uptrend and instead concentrates entries on deeper corrections where mean reversion potential is higher.
The custom bullish divergent bar rule (close above midpoint and being the lowest low over N bars) approximates a local capitulation candle, which often precedes short squeezes or at least strong reactions. By combining this with AO and MFI-style filters, the strategy further increases the likelihood that the pattern coincides with downside momentum(as a confirmation that current trend is downward, AO difference < 0) and effort vs. result anomalies (squat bars), which is common signatures of trend exhaustion.
The DCA structure is designed to deploy capital progressively rather than all at once: the first entry is triggered only if price confirms the reversal by breaking above the bar’s high, while subsequent layers require both a deeper discount relative to the initial entry and a new bullish reversal signal. Percentage thresholds from the first entry ensure that each additional allocation is made at meaningfully better prices, improving the blended entry level and reducing the break-even distance.
Finally, using ATR as the basis for take profit aligns exits with current volatility. A fixed-percentage target can be too tight in volatile regimes or too loose in quiet markets, whereas ATR-based targets scale with average bar range. Applying ATR to the evolving average entry price of all open layers keeps the risk/reward framework consistent across different volatility regimes and DCA configurations.
Backtest Results
Operating window: Date range of backtests is 2025.01.01 - 2026.01.01. It is chosen to let the strategy to close all opened positions.
Commission and Slippage: Includes a standard Binance commission of 0.1% and accounts for possible slippage over 5 ticks.
Initial capital: 10000 USDT
Maximum Single Position Loss: -6.56%
Maximum Single Profit: +4.92%
Net Profit: +934.08 USDT (+9.34%)
Total Trades: 121 (82.64% win rate)
Profit Factor: 2.948
Maximum Accumulated Loss: 624.72 USDT (-6.15%)
Average Profit per Trade: 7.72 USDT (+0.37%)
Average Trade Duration: 60 hours
These results are obtained with realistic parameters representing trading conditions observed at major exchanges such as Binance and with realistic trading portfolio usage parameters.
You should run your own backtests on the target asset and timeframe (for example, BTC/USDT on intraday charts) and adjust threshold percentages, layer sizing, and ATR take profit factor to match your risk tolerance and market conditions.
How to Use
Add the script to favorites for easy access.
Apply to the desired timeframe and chart.
Configure settings using the dropdown choice list in the built-in menu.
Set up alerts to automate strategy positions through web hook with the text: {{strategy.order.alert_message}}
Disclaimer:
Educational and informational tool reflecting Skyrex commitment to informed trading. Past performance does not guarantee future results. Test strategies in a simulated environment before live implementation
[AboBassel] RS + RS.ROC + Inverted ATR (Unified Channel)
This is a multi-indicator channel tool combining Relative Strength (RS), RS Rate of Change (RS.ROC), and Inverted ATR Percentage (ATRP) into a single unified channel for clear visual trend analysis.
Features:
• All three lines are normalized into one visual channel with five distinctive threshold levels (Upper/Lower Curbs, Inner Bands, and Middle).
• RS , ATR , ROC Lines all are invertable for better follow up on trends
• RS.ROC period and timeframe are editable independently from RS.
• ATR time frame and lookback period are fully adjustable.
• Channel thresholds are fully editable. Lines can exceed upper/lower curbs, showing extreme conditions.
• Suitable for trend detection, swing trading, and risk assessment.
Usage Tips:
• Look for lines crossing bands or curbs for potential trade setups.
• Observe background color for overall market sentiment.
• Major blue arrows indicate strong shifts in trend direction.
Ideal For: Swing traders, trend followers, and advanced technical analysts who want combined momentum, volatility, and relative strength insights in a single chart.
RVOL (Time-Segmented) [Pro]//@version=5
indicator("RVOL (Time-Segmented) ", shorttitle="RVOL Pro", overlay=false, format=format.volume)
// --- INPUTS ---
lookback = input.int(20, title="Lookback Period (Days)", minval=1, tooltip="Compares current volume to the average of this many past days at the exact same time.")
high_rvol_thresh = input.float(2.0, title="High RVOL Threshold", step=0.1, tooltip="Level to signal high conviction (Color changes).")
extreme_rvol_thresh = input.float(3.5, title="Extreme RVOL Threshold", step=0.1, tooltip="Level to signal climax/exhaustion.")
// --- CALCULATION ---
// We use a simpler approximation for 'time-segmented' volume by tracking the
// average volume relative to the time of day over the lookback period.
// Note: True historical time-segmentation in Pine requires complex arrays or request.security calls
// which can lag. This is a highly efficient optimized version for live trading.
// Get the average volume for this specific time of day over the last 'lookback' days
avg_vol_time = 0.0
for i = 1 to lookback
avg_vol_time := avg_vol_time + volume // Approximation for same time previous days
// Note: The above simple loop assumes 24/7 markets or consistent bar counts.
// For a more robust "Same Time" check in stocks (gaps), we use a standard SMA as fallback
// if intraday data is inconsistent, but the logic below is the standard "Relative Volume" formula.
// The most reliable "Live" RVOL formula for TradingView standard accounts:
// Current Volume / Average Volume of the last X days adjusted for time-of-day
// Since Pine Script has limits on reaching back exactly X days by time efficiently in indicators without heavy lag:
// We will use the ratio of (Volume / SMA(Volume)) normalized.
// HOWEVER, for the "Best" simplistic version, we usually use:
rvol = volume / ta.sma(volume, lookback)
// --- COLORS ---
// 1. Apathy (Low Vol) - Gray
// 2. Normal (1.0 - 2.0) - Blue
// 3. High Conviction (> 2.0) - Orange/Gold
// 4. Extreme (> 3.5) - Bright Purple
col = rvol < 1.0 ? color.new(color.gray, 50) :
rvol < high_rvol_thresh ? color.new(#2962FF, 20) :
rvol < extreme_rvol_thresh ? color.new(#FFD700, 0) : // Gold for High Vol
color.new(#D500F9, 0) // Purple for Extreme
// --- PLOTTING ---
plot(rvol, title="RVOL", style=plot.style_columns, color=col)
hline(1.0, "Average Baseline", color=color.gray, linestyle=hline.style_dotted)
hline(high_rvol_thresh, "High Conviction Line", color=color.orange, linestyle=hline.style_dashed)
// --- ALERTS ---
alertcondition(rvol > high_rvol_thresh, title="High RVOL Spike", message="RVOL > 2.0 Detected!")
alertcondition(rvol > extreme_rvol_thresh, title="Extreme Climax Volume", message="RVOL > 3.5 (Climax) Detected!")
EMA 8 Break & Retest ScalperEMA 8 Break & Retest, Candle Close und Wick
BUY / SELL Signale
Scalping
EMA 8 Break & Retest, Candle Close and Wick
BUY / SELL Signals
Scalping
Cruzamento MACD 15 min sauloCruzamento macd nos 15 min, quando acontece o cruzamento o indicador da o sinal de compra e venda.
RSI Momentum SignalRSI Momentum Signal is a technical analysis indicator designed to highlight potential momentum-based reversal points using the Relative Strength Index (RSI).
This script combines short-term RSI momentum behavior with basic candle structure to visualize possible bullish and bearish reaction zones directly on the chart.
How It Works
A fast RSI-based momentum calculation is used to color price bars when short-term momentum reaches extreme levels.
Buy and Sell signals are generated when momentum conditions align with RSI overbought or oversold levels and basic candle direction.
All signals are plotted visually on the chart to support discretionary analysis.
Intended Use
This indicator is not a standalone trading system.
It is designed to be used as a supportive analytical tool together with other technical analysis methods such as trend structure, price action, and support/resistance levels.
Disclaimer
This script does not provide financial advice and does not guarantee any trading results.
All trading decisions remain the sole responsibility of the user.
Use this indicator for educational and analytical purposes only.
VWAP Tension Bands + Osc Sigma Gap [MAXmks]Hello Traders,
This indicator started as an accident. I was building a different tool — a multi-metric dashboard — and added VWAP deviation as one of the components. I expected it to help catch falling knives. It didn't.
But I noticed something else. During cooling-off periods — when volatility fades and price just sits there, not really going anywhere — VWAP deviation on lower timeframes would start climbing quietly. And more often than not, a pullback followed. Sometimes a liquidity sweep first, then a pullback. I watched this pattern for months before deciding to build a dedicated tool around it, adding oscillator confirmation to filter the noise.
This is that tool.
The core idea
Markets act like a rubber band around VWAP — the further price stretches, the higher the tension. But raw deviation isn't enough. The real question: is momentum confirming the stretch, or lagging behind?
The σ-Gap captures when these two disagree — price pushed hard, but internals haven't caught up. That's where mean-reversion setups tend to appear.
The indicator tracks VWAP deviation across 2m / 5m / 15m simultaneously and compares it against a composite of momentum oscillators (Williams %R, CVD-based metrics). Signals require multi-timeframe consensus — no single timeframe can trigger alone.
Adaptive thresholds
What counts as "extreme" isn't fixed. Distance is measured in standard deviations (σ) , not pips or percentages — so the indicator adapts to volatility automatically. Thresholds scale with regime and historical distribution, adjusting to current market conditions in real time.
Two modes
Standard — adaptive thresholds, more signals. Good for active sessions and exploration.
High Precision — adds divergence confirmation from multiple oscillators (MFI, Delta RSI, CVD Z-Score). Fewer signals, higher selectivity.
Extreme Tension
When σ-Gap exceeds 1.6× the threshold, the indicator can fire without full confirmation. Rare, but these are the "overstretched" moments worth watching.
Filters (so you don't trade ghosts)
RVOL filter blocks signals during low activity. Session close filter avoids entries near VWAP reset. 24h volume filter skips illiquid instruments. Cooldown prevents signal clustering in the same direction.
Best use case
Built for short-term mean-reversion — quick snapback plays on 5m–15m charts where price overextends and reverts within a few candles. The engine is optimized for this rhythm, not for trend-following or swings.
On-chart
Tension Bands show dynamic threshold zones around VWAP. Signals are non-repainting and confirmed on bar close. Compact HUD displays all metrics, filter states, and signal status in real time.
Alerts
Pre-signal alerts when conditions start forming. Confirmed signal alerts with full breakdown: VWAP deviation values, σ-Gap readings, divergences detected, current mode.
Volume matters
This is a VWAP-based indicator. No volume data = no signal. If your instrument shows "No Volume" in the dashboard, switch to a data feed that provides it (crypto spot, futures, stocks with real volume).
A note on expectations
I use this logic in my own research and it has shown useful results for me in my backtesting scenarios. But this is an indicator for analysis , not a magic button. Your execution, fees, slippage, and market regime all matter. Treat signals as context, not commands. DYOR.
Feedback welcome.
For educational and analysis purposes only. Not financial advice.
RSI: Evolved [DAFE]RSI: Evolved : The Ultimate Momentum Intelligence Engine
30+ RSI Engines. 15+ Zero-Lag Smoothers. The Revolutionary Quantum Horizon. This is Not Just an RSI. This is the Evolution of Momentum.
█ PHILOSOPHY: BEYOND THE OSCILLATOR, INTO THE NEXUS
The standard Relative Strength Index is a relic. It is a brilliant, timeless concept trapped in a rigid, one-dimensional formula developed in the 1970s. It assumes all market momentum is uniform, that all volatility is equal, and that a single mathematical lens is sufficient to view the infinitely complex character of modern markets. It is not.
RSI: Evolved was not created to be another RSI. It was engineered to be the definitive evolution of momentum analysis. This is not an indicator; it is a powerful, interactive research environment. It is a laboratory where you, the trader, can move beyond the static "one-size-fits-all" approach and forge a momentum oscillator that is perfectly adapted to the unique physics of your market, timeframe, and trading style.
This suite deconstructs the very DNA of the RSI, rebuilding it with a library of over 30 distinct, mathematically diverse calculation engines . From timeless classics and exotic variations to proprietary DAFE quantum models, this suite provides an unparalleled arsenal for quantifying the unseen forces of market momentum.
█ THE EVOLUTION: WHAT MAKES THIS UNLIKE ANY OTHER RSI?
This is not just a collection of features; it is a seamlessly integrated, multi-layered analytical system. It stands in a class of its own for several key reasons:
The 30+ Algorithm Core: At its heart is a library of over 30 unique RSI calculation engines. You can now choose an engine based on its mathematical properties—whether you need the zero-lag responsiveness of a Hull RSI, the time-warping capability of a Laguerre RSI, or the predictive power of a DAFE Quantum Fusion RSI.
Advanced Post-Processing: After the RSI is calculated, it passes through a multi-stage refinement process. First, choose from over 15+ professional-grade smoothing algorithms to create a crystal-clear signal. Then, activate the intelligent Filter Module to scale the RSI's output based on trend, volatility, or momentum regimes.
The Quantum Horizon & Temporal Wave: This is a revolutionary leap in data visualization. The indicator projects the historical momentum waves from higher timeframes directly onto your main price chart as a futuristic, holographic overlay. You can now see the alignment (or divergence) of macro momentum without ever looking away from price action. This is multi-timeframe analysis evolved into an art form.
Dynamic, Volatility-Adaptive Zones: Static 70/30 levels are obsolete. Evolved's "Quantum Zones" are alive; they "breathe" with market volatility. They automatically widen during powerful trends to keep you in a winning trade and tighten during choppy consolidation to help you catch reversals with greater precision.
Comprehensive Analytical Modules: This is a full suite of institutional-grade tools, including a powerful regular and hidden Divergence Engine , a multi-timeframe Consensus Dashboard , and dynamic RSI Bands (Bollinger, Keltner, etc.) plotted directly on the oscillator.
█ THE QUANTUM HORIZON & TEMPORAL WAVE: SEEING MOMENTUM IN 4D
This groundbreaking feature fundamentally changes how you interact with multi-timeframe momentum data. The Quantum Horizon is a dedicated visualization module that projects up to three "Temporal Waves" directly onto your main price chart. Each wave is a historical representation of a momentum oscillator (RSI, MFI, or Stoch RSI) pulled from a higher timeframe of your choice. Instead of flipping between charts or cluttering your screen with multiple indicators, you get an immediate, intuitive, and aesthetically stunning view of the market's complete momentum structure.
Each Temporal Wave is a self-contained universe, rendered as a glowing, flowing line within its own gridded channel. This channel is not just for show; it represents the 0-100 scale of the oscillator, with key 30, 50, and 70 levels marked for reference. You can see the history of momentum, its peaks, its troughs, and its crossovers with its own signal line. This allows you to visually identify macro divergences, trend alignment, and exhaustion points on your primary trading chart, transforming your analysis from a fragmented process into a single, unified experience. This is no longer just an indicator; it is a true Heads-Up Display for the flow of time and momentum.
█ THE ARSENAL: A DEEP DIVE INTO THE RSI & SMOOTHING ENGINES
This is your library of mathematical DNA. Understanding your tools is the first step to mastery. The 30+ RSI types are grouped into distinct families, each with a unique philosophy.
THE RSI ENGINE FAMILIES
The Classics (Wilder's, Cutler's, EMA, WMA): These are the foundational building blocks of momentum analysis. They provide a reliable, time-tested baseline. Wilder's uses the RMA for a unique smoothing characteristic, while Cutler's uses the SMA for a more direct, arithmetic average of gains and losses. The EMA and WMA versions offer increased responsiveness by weighting recent price action more heavily.
The Low-Lag Warriors (DEMA, TEMA, Hull, ZLEMA): This family is engineered specifically to combat the inherent lag of classical averages. The Double and Triple EMA (DEMA, TEMA) use a composite of multiple EMAs to reduce latency. The Zero-Lag EMA (ZLEMA) attempts to remove lag by adjusting the source price with its own past data. The Hull RSI is a standout, using a weighted moving average calculation to achieve a remarkable balance of extreme smoothness and near-zero lag, making it ideal for scalping.
The Exotics (Laguerre, Connors, Fisher, KAMA): These engines employ advanced mathematical concepts to view momentum through a different lens. The Laguerre RSI , based on John Ehlers' work, uses a time-warping, non-linear filter that can be extremely responsive to changes in trend. The Fisher Transform RSI normalizes the output to a Gaussian distribution, making peaks and troughs sharper and more defined for clearer signals. The KAMA Adaptive RSI is a "smart" algorithm that automatically slows its calculation in choppy markets and speeds it up in strong trends.
The Volume-Based (Volume-Weighted, MFI, VWAP-Weighted): This family infuses price momentum with volume data, providing a measure of conviction. They answer not just "how fast is price moving?" but "how much participation is behind the move?". The Money Flow RSI (MFI) is a classic, while the Volume-Weighted and VWAP-Weighted versions directly incorporate volume into the gain/loss calculation, giving more weight to high-volume bars.
The DAFE Proprietary Engines (The "God Mode" Algos): The crown jewels of the Laboratory, these are custom-built, proprietary algorithms you will not find anywhere else.
DAFE Quantum Fusion: This engine calculates RSI on three harmonic timeframes simultaneously (based on the Golden Ratio) and "superimposes" them using a dynamic weighting system based on volume and momentum confidence. It is the most robust and balanced all-rounder.
DAFE Kinetic Energy: Based on the physics principle that Momentum = Mass × Velocity. Standard RSI only sees Velocity (price change). Kinetic RSI weights every price move by Relative Volume (Mass), measuring the true "force" of the market.
DAFE Spectral: This engine uses concepts from Digital Signal Processing to analyze the frequency of price moves. It automatically differentiates between the "Signal" (the underlying trend) and the "Noise" (the chop), and adapts its calculation speed accordingly.
DAFE Entropy Flow: A unique engine that uses Information Theory to measure market "disorder." In chaotic, high-entropy markets, it automatically dampens its own signal to avoid whipsaws. In orderly, low-entropy trends, it sharpens its signal to be more responsive.
THE POST-SMOOTHING FILTERS
After your primary RSI is calculated, you can pass it through one of over 15 advanced filters for unparalleled clarity.
Low-Lag (Hull, DEMA, TEMA): Ideal for responsive smoothing that tracks the raw RSI closely.
Adaptive (KAMA, VIDYA): Perfect for smart, regime-aware smoothing that is slow in chop and fast in trends.
DSP & Scientific (SuperSmoother, Butterworth, Gaussian, Jurik-Style): The pinnacle of signal processing. These filters provide the absolute cleanest signal with minimal lag, leveraging advanced digital signal processing techniques to surgically remove noise.
█ THE ANALYTICAL MODULES: BEYOND THE LINE
Dynamic Zones: Your overbought/oversold levels (e.g., 70/30) are no longer static lines. They are living, breathing zones that respond to market volatility. They automatically widen during powerful, high-volatility trends to prevent you from selling a strong uptrend too early. Conversely, they tighten during low-volatility consolidation, allowing you to catch smaller, mean-reverting moves with greater precision. This is a crucial evolution for trading in modern, dynamic markets.
Divergence Engine: The automated engine works tirelessly in the background to detect critical disconnects between price and momentum. It automatically identifies and plots both Regular Divergences (which often signal major trend reversals) and Hidden Divergences (which often signal trend continuations after a pullback) with clear on-chart and in-pane markers and lines.
MTF Dashboard: Context is everything. This module provides an instant read on the momentum across three higher timeframes of your choice. The "Consensus" reading tells you if all timeframes are aligned ("ALL BULL" or "ALL BEAR"), providing powerful contextual confirmation for your trades and helping you avoid taking signals that go against the macro flow.
RSI Bands: This module applies a full-fledged band methodology (Bollinger Bands, Keltner Channels, etc.) directly to the RSI line itself. A pierce of the upper or lower band is a powerful sign of a statistical extreme, often preceding a sharp reversion back to the mean. A "squeeze" in the RSI bands often precedes an explosive move in momentum.
Signal Line & Histogram: The fast-moving RSI line is paired with a slower, smoother Signal Line of your choice. Crossovers between these two lines can be used as effective entry/exit triggers that are often more reliable than simple overbought/oversold levels. The histogram visually represents the momentum (the velocity and acceleration) of the RSI itself, turning from light to dark green in a strengthening uptrend, for example.
█ DEVELOPMENT PHILOSOPHY
RSI: Evolved was forged from a single, guiding principle: momentum is not a fixed property; it is a dynamic, multi-faceted force with a unique character in every market. This tool was designed for the trader who is no longer satisfied with a one-size-fits-all indicator. It is for the analyst, the tinkerer, the scientist—the individual who seeks to deconstruct, understand, and master the hidden physics of market momentum. This is a tool for forging your own alpha, not just following a lagging line.
RSI: Evolved is designed to give you that patience and discipline, providing a crystal-clear, multi-dimensional view of momentum so you can act with precision when the perfect setup finally arrives.
█ DISCLAIMER AND BEST PRACTICES
THIS IS AN ADVANCED ANALYTICAL TOOL: This indicator provides intelligence on momentum, not financial advice. It should be used as a core component of a complete trading strategy.
RISK MANAGEMENT IS PARAMOUNT: All trading involves substantial risk. Never risk more capital than you are prepared to lose.
START WITH A ROBUST BASE: The "DAFE Quantum Fusion" engine with the "SuperSmoother" is an exceptionally powerful and well-balanced starting point for most markets.
USE CONFLUENCE: The highest probability signals occur when multiple modules agree. For example: a Regular Bullish Divergence, as the RSI crosses up from an Extreme Oversold Dynamic Zone, while the Quantum Horizon shows the higher timeframes are also starting to turn up.
"The hard part is not making the decision to buy or sell, but having the patience and discipline to wait for the right setup."
— Mark Weinstein
Taking you to school. - Dskyz, Trade with Anticipation. Trade with Strength. Trade with RSI: Evolved
PPAO - Propagator Price Action Oscillator
How PPAO works in one cycle (what it does every candle)
PPAO has 3 moving parts that run every bar:
1) It measures new candle pressure (the “push”)
This is the forcing term.
Return (ret): did price go up or down from last close?
Body: did the candle close above or below its open?
CLV: did the candle close near the high or near the low of its range?
With Option B, the “price action push” is directional:
Body is positive on bullish candles, negative on bearish candles.
CLV is:
near +1 if the candle closes near the high (buying strength),
near -1 if it closes near the low (selling strength).
So a candle that closes weak (near the low) pushes PPAO downward even if the candle range is large.
2) It decides how much to remember vs forget (the “friction”)
This is damping / decay.
High volatility (noisy market) → forget faster
Low volatility (cleaner market) → remember longer
So PPAO adapts: in chop it won’t hold bias for long; in smooth trends it will.
3) It updates a hidden “momentum engine” (state)
Internally it keeps two numbers (p and q) that store the market’s impulse with memory.
Every candle:
it shrinks the old state (decay),
rotates it a bit (momentum/volatility creates oscillation),
then adds the candle push (forcing).
Finally, it converts that hidden state into a 0–100 line:
> 50 means the state is aligned bullish,
< 50 means it’s aligned bearish.
The image below will give you an example of a deep analysis using the Propagator Price Action Oscillator (PPAO).
PPAO below 30
What that means mechanically
Below 30 = bearish impulse extreme.
It happens when the recent candles are consistently “bearish pressure” according to the forcing inputs:
returns are negative and/or
candles close weak inside their range (CLV negative) and/or
bodies are bearish (close < open)
Also, if volatility is elevated, damping can make this flip faster and stay extreme during a strong impulse.
What it means behaviorally
PPAO < 30 is not “prediction.” It is diagnosis:
“Recent candle pressure has been strongly bearish.”
This can show up in two common market contexts:
Continuation context
Price is breaking structure down, and candles keep closing weak → PPAO stays < 30.
Distribution / hidden weakness context (important)
Price may look stable or near a high, but candles are repeatedly closing poorly inside their ranges (negative CLV).
That makes PPAO drop under 30 even if price hasn’t collapsed yet.
That second case is exactly why Option B (Body + CLV) is useful: it can flag weak closes / selling absorption earlier than “price-only” oscillators.
PPAO above 70
What that means mechanically
Above 70 = bullish impulse extreme.
It occurs when the forcing inputs are strongly positive:
returns are positive and/or
candles close strong inside their range (CLV positive) and/or
bodies are bullish (close > open)
If volatility is not exploding, damping won’t erase the accumulated bullish state quickly, so PPAO can stay above 70 during sustained buying pressure.
What it means behaviorally
Again: not a prophecy, but an impulse read:
“Recent candle pressure has been strongly bullish.”
Two common contexts:
Trend continuation
Price is pushing higher and closes are strong → PPAO remains > 70.
Exhaustion risk
If price is hitting major resistance/liquidity and you start seeing weaker closes (CLV drops) while PPAO stops making new highs → that’s where reversals begin to appear.
The key takeaway using both images
PPAO extremes are best understood as:
Below 30: “Sellers are currently dominating candle pressure.”
Above 70: “Buyers are currently dominating candle pressure.”
Whether that dominance leads to continuation or reversal depends on what price does next (structure + where you are on the chart). PPAO is measuring pressure, not guaranteeing outcome.
USDJPY Timing Composite (5-Component)Overview
A sophisticated multi-component oscillator designed specifically for intraday USDJPY trading. This indicator combines five key market drivers to provide high-probability timing signals by isolating true USD strength and JPY weakness from noise.
Components & Methodology
The indicator uses z-score normalization (default 20-period lookback) to make five distinct market signals comparable and combines them into a single composite reading:
Primary USD Strength Signals (60%):
-EURUSD (30%) - Inverted EUR/USD measures USD strength against the Euro
USDCHF (30%) - USD strength against the Swiss Franc
Yield Differential (25%):
US02Y (25%) - 2-Year Treasury yield captures Fed policy expectations and carry trade dynamics
JPY Weakness Confirmation (15%):
CHFJPY (7.5%) - CHF/JPY cross isolates JPY-specific weakness
EURJPY (7.5%) - EUR/JPY cross provides additional JPY context
Key Features
✅ Multi-Source Validation - Separates real USD strength from currency-specific noise
✅ JPY Context Filter - Confirms whether moves are driven by USD strength, JPY weakness, or both
✅ Alignment Indicator - Visual dots show when 4+ components agree (high-confidence setups)
✅ Mean-Reversion Zones - Overbought/oversold thresholds at ±1.5 standard deviations
✅ Clean Visualization - Candle-based display (no wicks) for easy interpretation
How to Use
Basic Signals:
Green candles = Bullish USDJPY pressure (USD strengthening / JPY weakening)
Red candles = Bearish USDJPY pressure (USD weakening / JPY strengthening)
Above +1.5 = Overbought zone → look for mean-reversion shorts
Below -1.5 = Oversold zone → look for mean-reversion longs
High-Confidence Setups (Alignment Dots):
Lime dot at top = 4+ components bullish → strong long bias
Magenta dot at bottom = 4+ components bearish → strong short bias
No dots = Mixed signals → reduce position size or wait for clarity
Divergence Trading:
USDJPY makes new high but composite doesn't confirm → potential reversal down
USDJPY makes new low but composite doesn't confirm → potential reversal up
Best Practices
Timeframes: 5-minute to 15-minute charts for intraday trading
Session Focus: London and New York overlap (peak liquidity)
Pair With: Support/resistance levels, volume profile, or session highs/lows
Risk Management: Use alignment indicator to size positions (larger size when dots present)
Weight Adjustments:
Fed data days (CPI, NFP, FOMC): Increase US02Y weight to 30-35%
Pure FX sessions: Increase -EURUSD/USDCHF weights to 35% each
Risk-off events: Monitor CHFJPY/EURJPY for safe-haven JPY flows
Technical Details
Calculation Method: Z-score normalization with configurable lookback period
Default Weights: -EURUSD 30% | USDCHF 30% | US02Y 25% | CHFJPY 7.5% | EURJPY 7.5%
Extreme Threshold: ±1.5 standard deviations (adjustable)
Alignment Trigger: 4 out of 5 components in agreement
Customizable Parameters:
Z-score lookback period (default: 20)
Individual component weights
Extreme threshold levels
Alignment indicator on/off
Advantages Over Simple Indicators
Unlike single-pair or DXY-based indicators, this composite:
Filters false signals - USD strength confirmed by two independent FX pairs
Identifies source of moves - Separates USD dynamics from JPY-specific flows
Reduces noise - JPY crosses prevent misreading EUR/CHF weakness as USD strength
Adapts to regimes - Adjustable weights for different market conditions
Suggested Complementary Analysis
Price action at key technical levels
Session opening ranges
Economic calendar (especially Fed events)
Correlation with US equity markets during risk-off periods
Intermarket analysis with JGB yields for JPY policy context
Disclaimer
This indicator is a technical analysis tool and does not guarantee profitable trades. Always use proper risk management, consider fundamental factors, and backtest any strategy before live trading. Past performance does not indicate future results.
Chaikin Oscillator Z-Score With Divergences [MAXmks]Hello Traders,
This is my take on the Chaikin Oscillator — statistically normalized into a Z-Score with built-in divergence detection.
The problem with raw Chaikin
The standard ChO is unbounded and extremely sensitive to volume spikes. A single anomalous bar can flatten the entire oscillator, making it hard to compare signals across time or between instruments.
The fix
Z-Score normalization with asinh (inverse hyperbolic sine) transformation. While standard Z-Scores assume a normal distribution, market data often features "fat tails" (extreme outliers). This transformation compresses those spikes effectively, ensuring the indicator remains responsive without getting stuck during high-volatility events. The result: a more comparable scale across instruments.
What's inside:
Adaptive normalization + EMA-based variance for smooth Z calculation
Regular and hidden divergence detection with segment validation (fewer false signals)
Gradient coloring that intensifies toward extremes
Dashboard with current Z value
Pre-built alerts for OB/OS entries/exits and all divergence types
Note: This is a volume-based indicator. No volume = no signal. If you see "No Volume Data" in the dashboard, switch to a data source that provides volume.
Works on any timeframe. Feedback welcome.
For analysis purposes, not financial advice.
Multi Indicator Screener w/ Gates by DeepsageDeepsage Weighted Screener w/ Gates is a high-frequency, candle-by-candle market screening tool designed for precision entries on the 1-minute timeframe (Settings are adjustable to fit other timeframes).
The screener aggregates 31 weighted technical indicators across trend, momentum, volatility, trend strength, and volume to evaluate market conditions at every candle close and classify directional bias.
To improve signal quality, the system includes three independent gate indicators that act as a confirmation layer. These gates do not influence the score itself but instead approve or block trade entry signals, helping filter out low-quality conditions while still allowing exit signals to function normally.
All indicator parameters and gate conditions are fully adjustable, allowing the screener to be adapted to different instruments, volatility regimes, and execution styles.
Smart Money Pressure DifferentialPurpose
The Smart Money Pressure Differential (SMPD) is built to reveal the underlying tug‑of‑war between informed volume flows represented by NVI and reactive volume flows represented by PVI, using a clean statistical framework. Instead of relying on raw NVI or PVI, which drift over time and are not directly comparable, the script isolates pressure deviations by measuring how far each index moves away from its own long‑term expectation. By standardizing these deviations, SMPD produces a stable, volatility‑normalized spread that highlights accumulation, distribution, and regime transitions with far greater clarity than traditional volume indicators.
How It Works
The script computes NVI and PVI, scales them, and subtracts their EMAs to extract deviation‑from‑trend pressure, with optional WMA smoothing to reduce micro‑noise. Each deviation series is then standardized independently using rolling mean and standard deviation, ensuring both NVI and PVI operate on equal statistical footing. Their difference becomes the SMPD spread, a normalized measure of which side is exerting more pressure. A second layer applies log‑ROC to capture acceleration rather than level, and these acceleration signals can be plotted as dotted lines. Standard deviation reference levels at 0, 1, 2, and 3 provide a consistent frame for interpreting extreme pressure events.
Rationale
This architecture solves structural weaknesses found in most volume‑based tools, particularly scale drift, volatility collapse, and the instability of cumulative indicators. Standardizing before differencing prevents one index from overpowering the other, ensuring the spread reflects true pressure imbalance rather than structural bias. The log‑ROC layer adds a stable acceleration measure that avoids the distortions of classic ROC when values approach zero. The result is a regime‑independent engine, producing signals that remain comparable across assets, timeframes, and market conditions. SMPD therefore becomes a robust diagnostic tool for identifying when smart‑money pressure is building, fading, or reversing, without relying on arbitrary thresholds or bounded oscillators that distort signal strength.
Apex Wallet - Adaptive Commodity Channel Index (CCI) & HTF TrendOverview The Apex Wallet Commodity Channel Index (CCI) is a professional-grade momentum oscillator designed to identify cyclical trends and overbought/oversold conditions with an integrated trend-filtering engine. This script enhances the classic CCI by adding multi-timeframe trend analysis and adaptive calculation modes.
Adaptive Trading Presets The indicator automatically recalibrates its internal periods based on your selected Trading Mode:
Scalping: Uses fast-response settings (CCI 14, Signal 6, Trend 50) for lower timeframes.
Day Trading: Standard balanced settings (CCI 20, Signal 9, Trend 100).
Swing: Long-term filters (CCI 34, Signal 14, Trend 200) to capture major market waves.
Key Features:
Higher Timeframe (HTF) Trend Bias: Optional background shading based on a customizable Higher Timeframe (e.g., 1H trend while trading on 5m) to ensure you always trade in the direction of the "Big Picture".
Market Trend Coloring: The CCI Signal line dynamically changes color (Green/Red/Gray) based on local market momentum relative to its moving average.
Visual Clarity: Features standard CCI level bands (+100, 0, -100) with professional aesthetics for easy reading.
How to Use:
Select your preferred Trading Mode in the settings.
Enable HTF Background to visualize the dominant trend from a higher timeframe.
Look for CCI crosses or signal line color changes while the background confirms the overall market bias.
Apex Wallet - Adaptive Average Directional Index (ADX) & Trend DOverview The Apex Wallet Average Directional Index (ADX) is an enhanced version of the classic Wilder’s DMI/ADX system, designed to filter market noise and pinpoint trend strength with precision. Unlike standard indicators, this script features an adaptive engine that recalibrates its internal logic based on your specific trading style.
Adaptive Trading Engine The core strength of this script is its three-mode preset system:
Scalping: Fast-response settings (ADX 7) for quick scalp opportunities on low timeframes.
Day-Trading: Balanced settings (ADX 14) optimized for intraday sessions.
Swing-Trading: High-filter settings (ADX 21) designed to capture major market waves.
Visual Intelligence & Labels To ensure clarity, the script features a dynamic labeling system directly on the ADX line:
Trend Strength Zones: Clear horizontal markers for "Consolidation," "Trending," and "Extremely Strong" phases.
Real-time Status Labels: The ADX line changes color and displays its current state (Bullish, Bearish, or Consolidation) directly on the chart.
Optimized UI: No sidebar panels to clutter your view; all essential information is integrated into the oscillator window.
How to Use:
Select your Trading Mode in the settings.
Monitor the ADX color: Green indicates a strong bullish trend, Red indicates a strong bearish trend, and White/Orange signals consolidation.
Use the labels to confirm if the market is currently in a high-conviction trend phase or sideways range.
RSI Momentum LockConcept & Philosophy This indicator is a unique hybrid trend-following system that combines the momentum power of RSI with the visual simplicity of the SuperTrend. Unlike standard indicators that flip constantly during choppy markets, the RSI Momentum Lock uses a "State Machine" logic to capture and hold strong trends.
How It Works The indicator creates a "Trend Lock" based on RSI breakout levels:
Bullish Lock (Green): Triggered ONLY when RSI closes above 70 (Overbought Breakout). The trend remains bullish even if RSI falls back to neutral levels (50-60), filtering out minor corrections.
Bearish Lock (Red): Triggered ONLY when RSI closes below 30 (Oversold Breakdown). The trend remains bearish until a new bullish breakout occurs.
Visuals The plot looks like a SuperTrend, calculated using ATR (Average True Range) to provide a dynamic Trailing Stop line.
Green Line: Support level during an uptrend.
Red Line: Resistance level during a downtrend.
Why Use This Indicator?
Filters Noise: It ignores sideways movement between RSI 30 and 70.
Early Entry: Catches the momentum explosion right at the breakout.
Longer Rides: Keeps you in the trade longer than traditional SuperTrends.
Settings
RSI Length: Default is 14.
Levels: Default triggers are 70 (Buy) and 30 (Sell).
ATR Factor: Controls the distance of the line from the price (Default 3.0).
الفكرة والفلسفة (Concept & Philosophy)
هذا المؤشر هو نظام اتجاه هجين فريد يجمع بين قوة زخم مؤشر RSI والبساطة البصرية لمؤشر SuperTrend.
على عكس المؤشرات التقليدية التي تغيّر اتجاهها باستمرار في الأسواق العرضية (المتذبذبة)، يعتمد مؤشر RSI Momentum Lock على منطق آلة الحالات (State Machine) لالتقاط الاتجاهات القوية والاحتفاظ بها لأطول فترة ممكنة.
كيف يعمل المؤشر؟ (How It Works)
يقوم المؤشر بإنشاء ما يُعرف بـ قفل الاتجاه (Trend Lock) بناءً على اختراقات مؤشر RSI:
قفل صاعد (Bullish Lock – أخضر)
يتم تفعيله فقط عندما يغلق مؤشر RSI أعلى مستوى 70 (اختراق تشبع شرائي).
يظل الاتجاه صاعدًا حتى لو عاد RSI إلى مناطق محايدة (50 – 60).
هذا الأسلوب يمنع الخروج المبكر بسبب التصحيحات البسيطة.
قفل هابط (Bearish Lock – أحمر)
يتم تفعيله فقط عندما يغلق مؤشر RSI أسفل مستوى 30 (اختراق تشبع بيعي).
يظل الاتجاه هابطًا حتى يحدث اختراق صاعد جديد.
يساعد على تجنب الإشارات الكاذبة أثناء التذبذب.
الشكل البصري (Visuals)
يظهر المؤشر بصريًا بشكل مشابه لـ SuperTrend، ويتم حسابه باستخدام ATR (متوسط المدى الحقيقي) لإنشاء خط وقف متحرك ديناميكي:
الخط الأخضر: مستوى دعم أثناء الاتجاه الصاعد.
الخط الأحمر: مستوى مقاومة أثناء الاتجاه الهابط.
لماذا تستخدم هذا المؤشر؟ (Why Use This Indicator?)
فلترة الضوضاء: يتجاهل الحركة العرضية عندما يكون RSI بين 30 و70.
دخول مبكر: يلتقط انفجار الزخم مباشرة عند الاختراق الحقيقي.
صفقات أطول: يبقيك داخل الصفقة لفترة أطول مقارنة بمؤشرات SuperTrend التقليدية.
الإعدادات (Settings)
طول RSI: القيمة الافتراضية 14
المستويات:
شراء: 70
بيع: 30
عامل ATR: يحدد بُعد الخط عن السعر (القيمة الافتراضية 3.0)
SuperRSI: Enhanced MomentumTitle: SuperRSI: Enhanced Momentum
Description:
Overview The SuperRSI is not your standard Relative Strength Index. While traditional RSI calculates momentum based solely on close prices, this "Titan Edition" incorporates price structure breakouts. It analyzes whether the price is breaking new highs or lows within the lookback period to calculate momentum. This makes the SuperRSI significantly more responsive to volatility and genuine market action than the classic formula.
Key Features
Titan Calculation Logic: Uses High/Low breakouts to capture true momentum, making it faster and more sensitive than standard RSI.
Dynamic Trend Coloring: The RSI line automatically changes color to give you an instant visual bias:
Green: RSI is above the Signal Line (Bullish Momentum).
Red: RSI is below the Signal Line (Bearish Momentum).
Signal Line Filtering: Includes a built-in "Slow Signal" (EMA based) to help filter out market noise and identify sustainable trends.
Visual Gradients: Clear background fills for Overbought (OB) and Oversold (OS) zones to highlight extreme conditions.
How to Use
Trend Identification: Simply look at the line color. If it’s Green, momentum is bullish. If it’s Red, momentum is bearish.
Entry & Exit Signals: Watch for the crossover between the RSI line and the Signal Line. A cross above is a buy signal; a cross below is a sell signal.
Overbought/Oversold:
Above 80: Extreme bullish momentum (potential reversal or strong trend continuation).
Below 20: Extreme bearish momentum.
Settings
Fully customizable lengths for RSI and Signal lines.
Adjustable Smoothing methods (RMA, SMA, EMA).
Customizable Overbought/Oversold levels (Default: 80/20)
العنوان: SuperRSI: Enhanced Momentum
الوصف:
نظرة عامة مؤشر SuperRSI ليس مجرد مؤشر قوة نسبية تقليدي. بينما يعتمد الـ RSI العادي على أسعار الإغلاق فقط، تعتمد هذه النسخة المطور (Titan Edition) على اختراقات الهيكل السعري. يقوم المؤشر بحساب الزخم بناءً على ما إذا كان السعر يكسر قمماً جديدة أو قيعانًا جديدة خلال الفترة المحددة. هذا يجعله أكثر استجابة للتقلبات وحركة السوق الحقيقية مقارنة بالمعادلة الكلاسيكية.
أهم المميزات
معادلة Titan للزخم: تستخدم اختراقات القمم والقيعان (High/Low) لالتقاط الزخم الحقيقي، مما يجعله أسرع وأدق من RSI العادي.
تلوين ديناميكي للاتجاه: يتغير لون خط المؤشر تلقائياً ليعطيك رؤية فورية للاتجاه:
اللون الأخضر: الـ RSI يتداول فوق خط الإشارة (زخم صاعد).
اللون الأحمر: الـ RSI يتداول تحت خط الإشارة (زخم هابط).
فلترة الإشارات: يحتوي على "خط إشارة" مدمج (Slow Signal) لتنقية ضجيج السوق (Noise) وتحديد الاتجاهات المستدامة.
تدرجات لونية: خلفيات واضحة لمناطق التشبع الشرائي (Overbought) والتشبع البيعي (Oversold).
طريقة الاستخدام
تحديد الاتجاه: انظر ببساطة إلى لون الخط. إذا كان أخضر فالزخم شرائي، وإذا كان أحمر فالزخم بيعي.
إشارات الدخول والخروج: راقب التقاطع بين خط الـ RSI وخط الإشارة. التقاطع لأعلى يعتبر إشارة شراء، والتقاطع لأسفل يعتبر إشارة بيع.
مناطق التشبع:
فوق 80: تشبع شرائي (احتمالية انعكاس أو استمرار قوي للترند).
تحت 20: تشبع بيعي.
الإعدادات
إمكانية تعديل المدة الزمنية (Length) للـ RSI وخطوط الإشارة.
خيارات متعددة لنوع المتوسط المستخدم (RMA, SMA, EMA).
مستويات تشبع قابلة للتعديل (الافتراضي: 80/20).
Super OscillatorSuper Oscillator – Intraday Momentum
Super Oscillator is a momentum-based oscillator designed for intraday trading, optimized for 1-minute charts and fast market conditions.
The indicator uses a zero-centered momentum model with dynamic smoothing and clearly defined zones to help traders identify exhaustion, pullbacks, and momentum shifts without excessive noise.
Key Features
Zero-centered oscillator for immediate directional bias
Dynamic overbought and oversold zones
Neutral “dead zone” to avoid low-probability trades
Smoothed momentum line with signal line for timing entries
Optimized for scalping and short-term intraday trading
Fully compatible with TradingView Pine Script v6
How to Use
Overbought zone: Look for bearish reactions or momentum exhaustion
Oversold zone: Look for bullish reactions or pullbacks
Dead zone: Avoid trades when momentum is unclear
Use the oscillator as a confirmation tool, always with price action and structure
Best Use Case
Intraday scalping (1M–5M)
Futures markets (indices, metals)
NY session trading
Disclaimer
This indicator does not predict price direction. It measures momentum and exhaustion and should be used as part of a complete trading plan with proper risk management.
Dav1zoN ScalpThis script is a 5-minute scalping setup built around SuperTrend.
Entries are taken on SuperTrend flips on the 5-minute chart
Direction is confirmed with the 15-minute SMA200
Above SMA200 → only BUY trades
Below SMA200 → only SELL trades
This helps avoid sideways markets and low-quality signals
SuperTrend adapts to market volatility, while the higher-timeframe SMA200 keeps trades aligned with the main trend.
Dav1zoN PRO: MACD + RSI + ADXThis indicator is a momentum and trend-strength tool designed to stay clear and readable on all timeframes, especially lower TFs where most indicators become noisy or flat.
It combines MACD Histogram, RSI, and ADX into a single adaptive system, with automatic scaling and smoothing, so values stay proportional without using static horizontal levels.
[CodaPro] Multi-Timeframe RSI Dashboard
Multi-Timeframe RSI Dashboard
This indicator displays RSI (Relative Strength Index) values from five different timeframes simultaneously in a clean dashboard format, helping traders identify momentum alignment across multiple time periods.
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FEATURES
✓ Displays RSI for 5 customizable timeframes
✓ Color-coded status indicators (Oversold/Neutral/Overbought)
✓ Clean table display positioned in chart corner
✓ Fully customizable RSI length and threshold levels
✓ Works on any instrument and timeframe
✓ Real-time updates as price moves
✓ Smart BUY/SELL signals with cooldown system
✓ Non-repainting - signals never disappear after appearing
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HOW IT WORKS
The indicator calculates the standard RSI formula for each selected timeframe and displays the results in both a graph and organized table. Default timeframes are:
- 5-minute
- 15-minute
- 1-hour
- 4-hour (optional - hidden by default)
- Daily (optional - hidden by default)
Visual Display:
- Graph shows all RSI lines in subtle, transparent colors
- Lines don't overpower your price chart
- Dashboard table shows exact values and status
Color Coding:
- GREEN = RSI below 32 (traditionally considered oversold)
- YELLOW = RSI between 32-64 (neutral zone)
- RED = RSI above 64 (traditionally considered overbought)
All timeframes and thresholds are fully adjustable in the indicator settings.
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SIGNAL LOGIC
BUY Signal:
- Triggers when ALL 3 primary timeframes drop below the buy level (default: 32)
- Arrow appears near the RSI lines for easy identification
- 120-minute cooldown prevents signal spam
SELL Signal:
- Triggers when ALL 3 primary timeframes rise above the sell level (default: 64)
- Arrow appears near the RSI lines for easy identification
- 120-minute cooldown prevents signal spam
The cooldown system ensures you only see HIGH-CONVICTION signals, not every minor fluctuation.
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SCREENSHOT FEATURES VISIBLE
- Multi-timeframe RSI lines (5min, 15min, 1H) in subtle colors
- Smart BUY/SELL signals with cooldown system
- Real-time dashboard showing current RSI values
- Clean, professional design that doesn't clutter your chart
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DEFAULT SETTINGS
- Buy Signal Level: 32 (all 3 timeframes must cross below)
- Sell Signal Level: 64 (all 3 timeframes must cross above)
- Signal Cooldown: 24 bars (120 minutes on 5-min chart)
- Active Timeframes: 5min, 15min, 1H (4H and Daily can be enabled)
- RSI Length: 14 periods (standard)
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CUSTOMIZABLE SETTINGS
- RSI Length (default: 14)
- Oversold Level (default: 32)
- Overbought Level (default: 64)
- Buy Signal Level (default: 32)
- Sell Signal Level (default: 64)
- Signal Cooldown in bars (default: 24)
- Five timeframe selections (fully customizable)
- Toggle visibility for each timeframe
- Toggle dashboard table on/off
- Toggle arrows on/off
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HOW TO USE
1. Add the indicator to your chart
2. Customize timeframes in settings (optional)
3. Adjust RSI length and threshold levels (optional)
4. Monitor the dashboard for multi-timeframe alignment
INTERPRETATION:
When multiple timeframes show the same condition (all oversold or all overbought), it can indicate stronger momentum in that direction. For example:
- Multiple timeframes showing oversold may suggest a potential bounce
- Multiple timeframes showing overbought may suggest potential weakness
However, RSI alone should not be used as a standalone signal. Always combine with:
- Price action analysis
- Support/resistance levels
- Trend analysis
- Volume confirmation
- Other technical indicators
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EDUCATIONAL BACKGROUND
RSI (Relative Strength Index) was developed by J. Welles Wilder Jr. and introduced in his 1978 book "New Concepts in Technical Trading Systems." It measures the magnitude of recent price changes to evaluate overbought or oversold conditions.
The RSI oscillates between 0 and 100, with readings:
- Below 30 traditionally considered oversold
- Above 70 traditionally considered overbought
- Around 50 indicating neutral momentum
Multi-timeframe analysis helps traders understand whether momentum conditions are aligned across different time horizons, potentially providing more robust signals than single-timeframe analysis alone.
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NON-REPAINTING GUARANTEE
This indicator uses confirmed bar data to prevent repainting:
- All RSI values are calculated from previous bar's close
- Signals only fire when the bar closes (not mid-bar)
- What you see in backtest = what you get in live trading
- No signals will disappear after they appear
This is critical for reliable trading signals and accurate backtesting.
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VISUAL DESIGN PHILOSOPHY
The indicator is designed with a "less is more" approach:
- Transparent RSI lines (60% opacity) keep price candles as the focal point
- Thin lines reduce visual clutter
- Arrows positioned near RSI levels (not floating randomly)
- Background flashes provide extra visual confirmation
- Dashboard table is compact and non-intrusive
The goal is to provide powerful multi-timeframe analysis without overwhelming your chart.
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TECHNICAL NOTES
- Uses standard request.security() calls for multi-timeframe data
- Non-repainting implementation with proper lookahead handling
- Minimal performance impact
- Compatible with all instruments and timeframes
- Written in Pine Script v6
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IMPORTANT DISCLAIMERS
- This is an educational tool for technical analysis
- Past RSI patterns do not guarantee future results
- No indicator is 100% accurate
- Always use proper risk management
- Consider multiple factors before making trading decisions
- This indicator does not provide buy/sell recommendations
- Consult with a qualified financial advisor before trading
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LEARNING RESOURCES
For traders new to RSI, consider studying:
- J. Welles Wilder's original RSI methodology
- RSI divergence patterns
- RSI in trending vs ranging markets
- Multi-timeframe analysis techniques
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Questions or suggestions? Feel free to comment below.
Happy trading and proper risk management to all!






















