RSI Buy Sell Signals[RanaAlgo]This RSI indicator provides a clean implementation of the Relative Strength Index with visual trading signals. It calculates RSI values using standard formula and displays buy/sell alerts when the indicator crosses the oversold (30) or overbought (70) thresholds. The background color changes to highlight extreme zones, with horizontal reference lines marking key levels. A compact table shows the current RSI value in the corner. The design focuses on clear signal generation while maintaining TradingView's native RSI accuracy, focused trading tool.
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Adaptive Momentum Flow (AMF)Overview
The Adaptive Momentum Flow (AMF) indicator is a powerful, multi-faceted tool designed to provide a comprehensive and adaptive view of market momentum and trend strength. Unlike traditional oscillators with fixed settings, AMF dynamically adjusts its calculations based on market volatility , ensuring its signals remain relevant across varying market conditions. By combining advanced Double Exponential Moving Averages (DEMA) with a powerful volume analysis component and a customizable scoring system, AMF offers a unique perspective on price action and underlying buying/selling pressure.
Key Features & How It Works
1. Adaptive DEMA Trend Strength:
At its core, AMF utilizes three DEMA lines (Fast, Medium, Slow) to assess the current trend's alignment and strength.
The indicator dynamically adjusts the lengths of these DEMA lines based on real-time market volatility, measured by Average True Range (ATR). This means AMF becomes more responsive in volatile markets and smoother in calmer periods.
A "Volatility Sensitivity" input allows you to fine-tune how aggressively the indicator adapts to these changes.
2. Volume Analysis (Buying/Selling Pressure):
AMF incorporates a dedicated volume analysis module to gauge whether volume is predominantly supporting upward or downward price movements. This helps identify periods of significant buying or selling pressure.
This volume analysis component is smoothed with an adjustable Moving Average (SMA, EMA, WMA, or DEMA) and contributes to the overall momentum score, adding a crucial layer of volume-driven confirmation to the analysis.
3. Comprehensive Scoring System:
The indicator generates a normalized "Oscillator Score" that ranges from -100 to 100. This score is a weighted sum of:
Price's relationship to the Fast DEMA.
The Fast DEMA's relationship to the Medium DEMA.
The Medium DEMA's relationship to the Slow DEMA.
The smoothed value from the volume analysis.
Each component's influence on the final score can be individually adjusted via input weights, allowing for deep customization.
Signal Line & Crossovers:
A smoothed "Signal Line" provides additional confirmation for momentum shifts. Crossovers between the main AMF line and its Signal Line can indicate potential changes in market direction.
Overbought/Oversold Levels:
Adjustable Overbought (default 70) and Oversold (default -70) levels visually highlight extreme momentum conditions.
These zones are enhanced with a color fill effect (bright red for overbought, bright cyan for oversold), making it easy to spot when the market is entering potentially exhausted states.
Crucially, these extreme zones can often be further validated by combining them with volatility bands (like Bollinger Bands or Keltner Channels as shown in the chart above) or other confluence indicators, offering stronger signals for potential reversals or exhaustion.
Benefits for Traders
Reduced Lag: DEMA's inherent design helps minimize lag compared to traditional moving averages, providing more timely signals.
Adaptive Intelligence: Automatically adjusts to market volatility, ensuring the indicator's sensitivity is appropriate for current conditions.
Holistic Momentum View: Combines price-based trend alignment with volume-based pressure for a more robust assessment of market flow.
Clear Visual Cues: Intuitive plots, signal line, and vibrant overbought/oversold zone fills make interpretation straightforward.
Customizable: Extensive input options allow traders to tailor the indicator to their specific trading style, asset, and timeframe.
How to Use
Trend Confirmation: Look for the AMF line and its Signal Line to align with the price trend.
Momentum Shifts: Crossovers between the AMF line and its Signal Line can indicate shifts in momentum.
Extreme Conditions: Pay attention when the AMF line enters the neon-highlighted overbought or oversold zones, signaling potential reversals or pauses in the current momentum. Always consider confirming these signals with other analysis tools, such as price action, chart patterns, support/resistance levels, or volatility indicators.
Customization: Experiment with the "Volatility Sensitivity," DEMA multipliers, and scoring weights to find the optimal settings for your trading strategy.
Dual Stochastic Enhanced (with Presets giua64)Script Title: Dual Stochastic Enhanced (with Presets giua64)
Overview:
This indicator enhances the traditional Dual Stochastic strategy, aiming to provide more filtered and potentially reliable trading signals. By integrating dynamic overbought/oversold levels via Bollinger Bands on the slow stochastic, a trend filter based on a moving average, momentum confirmation via RSI, and user-friendly selectable presets, "Dual Stochastic Enhanced" seeks to offer a more robust approach to identifying potential entry points.
Key Features:
Dual Stochastics: Utilizes a slow stochastic (configurable, e.g., 14 periods) as a context filter and a fast stochastic (configurable, e.g., 5 periods) as a signal trigger.
Bollinger Bands on Slow Stochastic: Instead of fixed overbought/oversold levels (80/20), Bollinger Bands are applied to the %K line of the slow stochastic. This creates dynamic zones that adapt to the stochastic's own volatility.
Trend Filter: A moving average (configurable type and length, e.g., EMA 100 as seen in the example chart for general context) on the price helps filter signals, allowing only trades aligned with the prevailing trend.
RSI Confirmation: An RSI oscillator (configurable length, e.g., 14 periods) is used to confirm momentum. Signals require the RSI to cross certain thresholds to validate the strength of the move.
User Presets: Includes presets for "Scalping," "Intraday," and "Swing trading," which quickly set all key parameters to suit different styles and timeframes. A "Custom" option is also available for full manual configuration.
Clear Visual Signals: Long (green) and Short (red) arrows appear on the chart when all entry conditions are met.
Active Zone Highlighting: The background of the indicator panel changes color (green or red) when "active zone" conditions (a combination of stochastics, trend, and RSI) are favorable.
Information Panel: A table in the top-right corner of the indicator panel displays the current status of the selected preset, trend filter, RSI value, and stochastic levels.
Signal Logic:
A LONG signal is generated when:
The fast stochastic %K crosses above its %D line.
The slow stochastic %K line is below its lower Bollinger Band (dynamic oversold condition).
The fast stochastic %K line is also in a low area (e.g., <25) to confirm the trigger is not premature.
The closing price is above the trend moving average (uptrend).
The RSI is above its long confirmation level (e.g., >40), indicating sufficient bullish momentum.
A SHORT signal is generated when:
The fast stochastic %K crosses below its %D line.
The slow stochastic %K line is above its upper Bollinger Band (dynamic overbought condition).
The fast stochastic %K line is also in a high area (e.g., >75).
The closing price is below the trend moving average (downtrend).
The RSI is below its short confirmation level (e.g., <60), indicating sufficient bearish momentum.
How to Use:
Select a Preset suitable for your trading style and the timeframe you are analyzing (e.g., Scalping for M1-M15, Intraday for M5-H1, Swing for H4-D1).
Alternatively, choose "Custom" and manually adjust all parameters (stochastic lengths, smoothing, Bollinger Bands, Moving Average, RSI, confirmation thresholds).
Observe the Information Panel for a quick understanding of the current conditions.
Evaluate the arrow signals, always considering the broader market context, price action, and any other confluences (supports/resistances, chart patterns).
The background highlighting can help quickly identify periods where conditions are aligned for potential trades.
Disclaimer:
This script is provided for educational and informational purposes only. Trading involves significant risk, and past performance is not indicative of future results. Always thoroughly test any strategy or indicator on historical data and on a demo account before risking real capital. The author assumes no responsibility for any losses incurred from the use of this script.
Author: giua64
Stochastic T3
# **Stochastic T3 Indicator and Its Usage**
## **1. Introduction**
In this presentation, we will examine how the **Tilson T3-filtered Stochastic RSI** indicator works and how it can be applied. Stochastic RSI is used as a **momentum indicator**, and with the Tilson T3 filter, it provides smoother and more accurate signals.
## **2. What is Stochastic RSI?**
Stochastic RSI is an enhanced indicator that applies the Stochastic oscillator to the standard RSI calculation. It allows for a **more precise analysis of overbought and oversold levels**.
## **3. Tilson T3 Filtering**
Tilson T3 uses a **6-layer Exponential Moving Average (EMA)** to analyze price data more smoothly. By using Tilson T3 instead of traditional RSI sources, **more reliable and lower-lag signals** can be obtained.
## **4. Using the Indicator with the 200 EMA**
The 200 EMA (Exponential Moving Average) is one of the most commonly used technical indicators for **determining the direction of long-term trends**. Using **Stochastic T3 alongside the 200 EMA** provides the following advantages:
- **Trading in line with the trend**: If the price is **above the 200 EMA, only buy opportunities**, and if it's below, only sell opportunities should be considered.
- **Fewer false signals**: The 200 EMA filter helps identify the best turning points within the trend.
## **5. Using it with Heiken Ashi Candlestick Charts**
**Heiken Ashi** provides smoother transitions compared to classic candlestick charts and **shows trend direction more clearly**. **When combined with Stochastic T3**, it offers:
- **Better trend identification**: Changes in candle color can align with Stochastic T3 signals in overbought/oversold zones.
- **Cleaner charts**: Heiken Ashi candlesticks filter out unnecessary price fluctuations, making analysis more stable.
## **6. Indicator Code Structure**
The code includes the following steps:
✅ **Tilson T3 calculation** → Provides smoother data.
✅ **Stochastic RSI calculation** → Used for momentum analysis.
✅ **Dotted Band Lines** → **Upper, Middle, and Lower bands** are displayed as dotted lines.
✅ **Background Fill** → A transparent color fill is applied between the 80 and 20 levels.
## **7. Code Example**
```pinescript
//@version=6
indicator(title="Stochastic T3", shorttitle="Stochastic T3", format=format.price, precision=2)
smoothK = input.int(3, "K", minval=1)
smoothD = input.int(3, "D", minval=1)
lengthRSI = input.int(14, "RSI Length", minval=1)
lengthStoch = input.int(14, "Stochastic Length", minval=1)
t3Length = input.int(5, "Tilson T3 Length", minval=1) // Tilson T3 length
b = input.float(0.7, "Beta") // Tilson T3 beta parameter
src = input(close, title="RSI Source")
tilsonT3 = ta.ema(ta.ema(ta.ema(ta.ema(ta.ema(ta.ema(src, t3Length), t3Length), t3Length), t3Length), t3Length), t3Length)
rsi1 = ta.rsi(tilsonT3, lengthRSI)
k = ta.sma(ta.stoch(rsi1, rsi1, rsi1, lengthStoch), smoothK)
d = ta.sma(k, smoothD)
plot(k, "K", color=color.rgb(0, 255, 4))
plot(d, "D", color=color.rgb(255, 0, 0))
// Adding dotted lines
line.new(x1=bar_index, y1=80, x2=bar_index+1, y2=80, width=2, color=color.gray, style=line.style_dotted)
line.new(x1=bar_index, y1=50, x2=bar_index+1, y2=50, width=2, color=color.gray, style=line.style_dotted)
line.new(x1=bar_index, y1=20, x2=bar_index+1, y2=20, width=2, color=color.gray, style=line.style_dotted)
// Background fill
bgColor = color.new(color.blue, 90)
fill(line.new(bar_index, 80, bar_index+1, 80), line.new(bar_index, 20, bar_index+1, 20), color=bgColor)
```
## **8. Conclusion**
This indicator generates **more stable signals thanks to the Tilson T3 filter**. **Using it in combination with the 200 EMA** ensures **trend-aligned trading**. When used alongside **Heiken Ashi candlestick charts**, traders can obtain **clearer and less noisy signals**.
🔹 **Advantages**:
- **Fewer false signals**.
- **Trading in the direction of the trend**.
- **Easier-to-read charts**.
Momentum Long + Short Strategy (BTC 3H)Momentum Long + Short Strategy (BTC 3H)
🔍 How It Works, Step by Step
Detect the Trend (📈/📉)
Calculate two moving averages (100-period and 500-period), either EMA or SMA.
For longs, we require MA100 > MA500 (uptrend).
For shorts, we block entries if MA100 exceeds MA500 by more than a set percentage (to avoid fading a powerful uptrend).
Apply Momentum Filters (⚡️)
RSI Filter: Measures recent strength—only allow longs when RSI crosses above its smoothed average, and shorts when RSI dips below the oversold threshold.
ADX Filter: Gauges trend strength—ensures we only enter when a meaningful trend exists (optional).
ATR Filter: Confirms volatility—avoids choppy, low-volatility conditions by requiring ATR to exceed its smoothed value (optional).
Confirm Entry Conditions (✅)
Long Entry:
Price is above both MAs
Trend alignment & optional filters pass ✅
Short Entry:
Price is below both MAs and below the lower Bollinger Band
RSI is sufficiently oversold
Trend-blocker & ATR filter pass ✅
Position Sizing & Risk (💰)
Each trade uses 100 % of account equity by default.
One pyramid addition allowed, so you can scale in if the move continues.
Commission and slippage assumptions built in for realistic backtests.
Stops & Exits (🛑)
Long Stop-Loss: e.g. 3 % below entry.
Long Auto-Exit: If price falls back under the 500-period MA.
Short Stop-Loss: e.g. 3 % above entry.
Short Take-Profit: e.g. 4 % below entry.
🎨 Why It’s Powerful & Customizable
Modular Filters: Turn on/off RSI, ADX, ATR filters to suit different market regimes.
Adjustable Thresholds: Fine-tune stop-loss %, take-profit %, RSI lengths, MA gaps and more.
Multi-Timeframe Potential: Although coded for 3 h BTC, you can adapt it to stocks, forex or other cryptos—just recalibrate!
Backtest Fine-Tuned: Default settings were optimized via backtesting on historical BTC data—but they’re not guarantees of future performance.
⚠️ Warning & Disclaimer
This strategy is for educational purposes only and designed for a toy fund. Crypto markets are highly volatile—you can lose 100 % of your capital. It is not a predictive “holy grail” but a rules-based framework using past data. The parameters have been fine-tuned on historical data and are not valid for future trades without fresh calibration. Always practice with paper-trading first, use proper risk management, and do your own research before risking real money. 🚨🔒
Good luck exploring and experimenting! 🚀📊
MACD Green column buy Red column sell Histogram StrategyThis strategy builds upon the official built-in MACD indicator logic from TradingView.
Buy Condition:
When the MACD Histogram turns from negative to positive (from red bars to green bars), it triggers strategy.entry('MACD_Buy', strategy.long), executing a buy operation.
Sell Condition:
When the MACD Histogram turns from positive to negative (from green bars to red bars), it triggers strategy.close('MACD_Buy'), executing a sell operation.
Plotting remains unchanged:
Green and red bars are displayed correctly, and both the MACD and signal lines are plotted as usual.
This strategy is not intended for real trading.
It is for educational and demonstration purposes only. It should not be considered financial advice, and I take no responsibility for any trading outcomes resulting from its use.
此策略基于 TradingView 官方内置的 MACD 指标逻辑。
买入条件：
当 MACD 柱状图由负转正（从红柱变为绿柱）时，触发strategy.entry('MACD_Buy',strategy.long) 执行买入操作。
卖出条件：
当 MACD 柱状图由正转负（从绿柱变为红柱）时，触发strategy.close('MACD_Buy') 执行卖出操作。
绘图保持不变：
绿柱和红柱均正确显示，MACD 线和信号线均按常规绘制。
此策略不适用于实盘交易。
仅供教育和演示之用。不应将其视为金融建议，本人对使用此策略导致的任何交易结果概不负责。
Price/MA Deviation AngleThis indicator visualizes the angular deviation of price from a selected moving average (default: 21 EMA). It calculates the angle, in degrees, formed by the vertical distance between price and the moving average — assuming a one-bar horizontal distance.
Positive angles indicate upward deviation (bullish pressure).
Negative angles reflect downward deviation (bearish pressure).
0° represents perfect alignment between price and the MA.
±45° thresholds can be used as reference for strong momentum.
This tool offers a normalized, intuitive perspective on price momentum using geometric interpretation rather than price-to-price delta.
Volume-Weighted SMI with Divergence Alerts📊 Volume-Weighted SMI with Divergence Alerts
This indicator is a modified version of the Stochastic Momentum Index (SMI) that incorporates volume-weighting to give more significance to price movements during high-volume periods. It also includes optional divergence alerts for improved signal precision.
🔍 Key Features:
Volume-Weighted SMI: Enhances the traditional SMI by amplifying signals during high-volume conditions.
WMA Smoothing: Applies a weighted moving average for clearer trend structure.
Custom Thresholds: Adjustable upper and lower bounds (default ±80) to identify overbought/oversold zones.
Divergence Alerts:
Detects bullish divergence (price makes lower lows, SMI makes higher lows).
Detects bearish divergence (price makes higher highs, SMI makes lower highs).
Sends alerts without plotting markers to keep your chart clean.
⚙️ Inputs:
SMI Length: Lookback for high/low range.
K Smoothing: Smooths the volume-weighted SMI signal.
WMA Length: Period of the WMA applied to the smoothed SMI.
Upper/Lower Threshold: Custom levels for signal zones.
Pivot Lookback: Defines the swing structure used in divergence detection.
🔔 Alerts:
Set a TradingView alert on:
“Any alert() function call”
to receive real-time divergence notifications (bullish or bearish) directly from the indicator.
🧠 How to Use:
Look for crossovers of the WMA with the SMI line to confirm shifts in momentum.
Use threshold levels for overbought/oversold identification.
Watch for divergence alerts to anticipate potential reversals or exhaustion.
Adaptive Multi-TF Indicator Table with Presets giua64📌 Script Name:
Adaptive Multi-Timeframe Indicator Table with Presets — giua64
📄 Description:
This script displays an adaptive multi-timeframe dashboard that summarizes the signals of three key technical indicators:
Moving Averages (MAs), Relative Strength Index (RSI), and MACD.
It provides a fast and visually intuitive overview of market conditions across five timeframes (5m, 15m, 30m, 1h, 4h), helping traders quickly identify potential directional biases (e.g., bullish, bearish, or neutral) based on either predefined presets or fully manual settings.
🧰 Preset Configurations:
You can choose between four trading styles, each with optimized indicator parameters:
Scalping
• MAs: 5 / 10 (Fast), 20 / 50 (Slow)
• RSI: 7 periods | Overbought: 70 | Oversold: 30
• MACD: 5 / 13 | Signal: 3
Intraday
• MAs: 9 / 21 (Fast), 50 / 100 (Slow)
• RSI: 14 periods | Overbought: 60 | Oversold: 40
• MACD: 12 / 26 | Signal: 9
Swing
• MAs: 10 / 20 (Fast), 50 / 200 (Slow)
• RSI: 14 periods | Overbought: 65 | Oversold: 35
• MACD: 12 / 26 | Signal: 9
Manual
• Full custom control over all indicator settings.
🛠️ All settings can be customized manually from the options panel, including the exact MA periods, RSI thresholds, and MACD structure.
🧠 How It Works:
For each timeframe, the script evaluates:
MA crossover status (two levels):
The first symbol refers to the crossover of the fast MAs
The second symbol refers to the crossover of the slow MAs
🟢 = Bullish crossover
🔴 = Bearish crossover
➖ = Flat or no clear signal
RSI Direction:
↑ = RSI above upper threshold (potential overbought)
↓ = RSI below lower threshold (potential oversold)
→ = RSI in neutral range
MACD Line vs Signal Line:
↑ = MACD line is above signal line (bullish)
↓ = MACD line is below signal line (bearish)
→ = Flat or neutral signal
Each signal is assigned a numerical score. These are aggregated per timeframe to compute a combined score that reflects the directional bias for that specific time window.
🧠 Adaptive Logic by Asset:
This script is designed to be universally compatible across all asset types — including forex, crypto, stocks, indices, and commodities.
Thanks to its multi-timeframe nature and flexible indicator presets, the script automatically adjusts its behavior based on the asset selected, ensuring relevant analysis without requiring manual recalibration.
🧾 Summary Table Output:
At the bottom of the dashboard, a combined sentiment is displayed for:
3TF → 5m, 15m, 30m
4TF → Adds 1h
5TF → Adds 4h
Each row shows:
Signal → LONG / SHORT / NEUTRAL
Confidence (%) → Based on score aggregation and signal consistency
📌 Customization Options:
Table Position: Left, Right, or Center
Text Size: Small, Normal, or Large
Full Manual Configuration: All MA, RSI, and MACD parameters can be adjusted as needed
⚠️ Disclaimer:
This script is for educational and analytical purposes only.
It does not constitute financial advice or guarantee any trading results.
Always do your own research and apply responsible risk management.
ADX Trend Strength EnhancedADX Trend Strength Enhanced – Script Summary 📈
What it does:
📊 Visualizes trend strength using the Average Directional Index (ADX)
🔁 Highlights DI+ / DI− crossovers filtered by ADX level and optional higher timeframe trend
📉 Displays ADX slope to show trend acceleration or weakening
🧠 Real-time floating label provides instant trend interpretation
What Makes It Unique:
🎨 Color-coded ADX line: 🟢 uptrend, 🔴 downtrend, ⚪ weak trend, 🟡 indecision
📍 Signal arrows only when trends are confirmed (DI cross + ADX > 20 + optional HTF)
📈 Slope histogram reveals early momentum shifts
💬 Dynamic label shows trend state like “Trending Up” or “No Trend”
🟦 Zone fills for no-trend, trend-starting, and strong-trend areas
Customizable Settings 🛠:
⏱ ADX Length (default: 14)
📐 Smoothing Type: Simple, Exponential, Weighted, Hull, or Wilders
🎯 Threshold Levels: Custom ADX 20 and 25 lines (color + width adjustable)
🧭 Enable HTF Filter to validate signals using higher timeframe trend
⏰ Select any higher timeframe (e.g., 1D, 4H)
🚨 Turn on alerts for trend shifts or DI crossovers
Use Cases 💼:
🚦 Detect when a market is trending vs. ranging
📥 Confirm entry signals after breakouts or pullbacks
🧹 Filter out noise in choppy price action
🔍 Align trades with multi-timeframe trend strength
MFI + RSI + EMA Dynamic SignalsThe MFI + RSI + EMA Dynamic Signals is a designed to combine with widened criteria to capture more trading opportunities, it balances momentum, trend, and flexibility, making it suitable for trading on timeframes like 15-minute to 4-hour charts.
How It Works
The indicator uses three technical components with relaxed criteria to produce signals:
Money Flow Index (MFI) for Momentum Extremes:
The MFI, calculated over a 14-period length, measures buying and selling pressure using price and volume. A buy signal can trigger when MFI crosses above the oversold level (default: 30, widened from 20), indicating potential buying pressure, while a sell signal can occur when MFI crosses below the overbought level (default: 70, widened from 80), suggesting selling pressure.
Relative Strength Index (RSI) for Momentum Confirmation:
The RSI, calculated over a 14-period length, confirms momentum strength. Bullish momentum is confirmed when RSI is above a buy threshold (default: 45, relaxed from 50), and bearish momentum when below a sell threshold (default: 55, relaxed from 50), allowing more signals near neutral momentum levels.
Exponential Moving Average (EMA) for Trend Sensitivity:
The indicator uses a fast EMA (default: 9 periods) and a slow EMA (default: 21 periods) to detect trend direction and crossovers. Signals can trigger when the fast EMA crosses the slow EMA, or when the fast EMA is within a proximity threshold (default: 0.5%) of the slow EMA, capturing early trend changes and increasing signal frequency.
Signal Generation
Signals are generated using the previous bar’s values to prevent repainting, with widened criteria for more frequent triggers:
Buy Signal: Either the MFI crosses above the oversold level or the fast EMA crosses above the slow EMA, and either RSI confirms bullish momentum (above 45) or the EMAs are near a crossover (within 0.5%). Displayed as a green upward triangle below the bar.
Sell Signal: Either the MFI crosses below the overbought level or the fast EMA crosses below the slow EMA, and either RSI confirms bearish momentum (below 55) or the EMAs are near a crossover (within 0.5%). Displayed as a red downward triangle above the bar.
Reflexivity Resonance Factor (RRF) - Quantum Flow Reflexivity Resonance Factor (RRF) – Quantum Flow
See the Feedback Loops. Anticipate the Regime Shift.
What is the RRF – Quantum Flow?
The Reflexivity Resonance Factor (RRF) – Quantum Flow is a next-generation market regime detector and energy oscillator, inspired by George Soros’ theory of reflexivity and modern complexity science. It is designed for traders who want to visualize the hidden feedback loops between market perception and participation, and to anticipate explosive regime shifts before they unfold.
Unlike traditional oscillators, RRF does not just measure price momentum or volatility. Instead, it models the dynamic feedback between how the market perceives itself (perception) and how it acts on that perception (participation). When these feedback loops synchronize, they create “resonance” – a state of amplified reflexivity that often precedes major market moves.
Theoretical Foundation
Reflexivity: Markets are not just driven by external information, but by participants’ perceptions and their actions, which in turn influence future perceptions. This feedback loop can create self-reinforcing trends or sudden reversals.
Resonance: When perception and participation align and reinforce each other, the market enters a high-energy, reflexive state. These “resonance” events often mark the start of new trends or the climax of existing ones.
Energy Field: The indicator quantifies the “energy” of the market’s reflexivity, allowing you to see when the crowd is about to act in unison.
How RRF – Quantum Flow Works
Perception Proxy: Measures the rate of change in price (ROC) over a configurable period, then smooths it with an EMA. This models how quickly the market’s collective perception is shifting.
Participation Proxy: Uses a fast/slow ATR ratio to gauge the intensity of market participation (volatility expansion/contraction).
Reflexivity Core: Multiplies perception and participation to model the feedback loop.
Resonance Detection: Applies Z-score normalization to the absolute value of reflexivity, highlighting when current feedback is unusually strong compared to recent history.
Energy Calculation: Scales resonance to a 0–100 “energy” value, visualized as a dynamic background.
Regime Strength: Tracks the percentage of bars in a lookback window where resonance exceeded the threshold, quantifying the persistence of reflexive regimes.
Inputs:
🧬 Core Parameters
Perception Period (pp_roc_len, default 14): Lookback for price ROC.
Lower (5–10): More sensitive, for scalping (1–5min).
Default (14): Balanced, for 15min–1hr.
Higher (20–30): Smoother, for 4hr–daily.
Perception Smooth (pp_smooth_len, default 7): EMA smoothing for perception.
Lower (3–5): Faster, more detail.
Default (7): Balanced.
Higher (10–15): Smoother, less noise.
Participation Fast (prp_fast_len, default 7): Fast ATR for immediate volatility.
5–7: Scalping.
7–10: Day trading.
10–14: Swing trading.
Participation Slow (prp_slow_len, default 21): Slow ATR for baseline volatility.
Should be 2–4x fast ATR.
Default (21): Works with fast=7.
⚡ Signal Configuration
Resonance Window (res_z_window, default 50): Z-score lookback for resonance normalization.
20–30: More reactive.
50: Medium-term.
100+: Very stable.
Primary Threshold (rrf_threshold, default 1.5): Z-score level for “Active” resonance.
1.0–1.5: More signals.
1.5: Balanced.
2.0+: Only strong signals.
Extreme Threshold (rrf_extreme, default 2.5): Z-score for “Extreme” resonance.
2.5: Major regime shifts.
3.0+: Only the most extreme.
Regime Window (regime_window, default 100): Lookback for regime strength (% of bars with resonance spikes).
Higher: More context, slower.
Lower: Adapts quickly.
🎨 Visual Settings
Show Resonance Flow (show_flow, default true): Plots the main resonance line with glow effects.
Show Signal Particles (show_particles, default true): Circular markers at active/extreme resonance points.
Show Energy Field (show_energy, default true): Background color based on resonance energy.
Show Info Dashboard (show_dashboard, default true): Status panel with resonance metrics.
Show Trading Guide (show_guide, default true): On-chart quick reference for interpreting signals.
Color Mode (color_mode, default "Spectrum"): Visual theme for all elements.
“Spectrum”: Cyan→Magenta (high contrast)
“Heat”: Yellow→Red (heat map)
“Ocean”: Blue gradients (easy on eyes)
“Plasma”: Orange→Purple (vibrant)
Color Schemes
Dynamic color gradients are used for all plots and backgrounds, adapting to both resonance intensity and direction:
Spectrum: Cyan/Magenta for bullish/bearish resonance.
Heat: Yellow/Red for bullish, Blue/Purple for bearish.
Ocean: Blue gradients for both directions.
Plasma: Orange/Purple for high-energy states.
Glow and aura effects: The resonance line is layered with multiple glows for depth and signal strength.
Background energy field: Darker = higher energy = stronger reflexivity.
Visual Logic
Main Resonance Line: Shows the smoothed resonance value, color-coded by direction and intensity.
Glow/Aura: Multiple layers for visual depth and to highlight strong signals.
Threshold Zones: Dotted lines and filled areas mark “Active” and “Extreme” resonance zones.
Signal Particles: Circular markers at each “Active” (primary threshold) and “Extreme” (extreme threshold) event.
Dashboard: Top-right panel shows current status (Dormant, Building, Active, Extreme), resonance value, energy %, and regime strength.
Trading Guide: Bottom-right panel explains all states and how to interpret them.
How to Use RRF – Quantum Flow
Dormant (💤): Market is in equilibrium. Wait for resonance to build.
Building (🌊): Resonance is rising but below threshold. Prepare for a move.
Active (🔥): Resonance exceeds primary threshold. Reflexivity is significant—consider entries or exits.
Extreme (⚡): Resonance exceeds extreme threshold. Major regime shift likely—watch for trend acceleration or reversal.
Energy >70%: High conviction, crowd is acting in unison.
Above 0: Bullish reflexivity (positive feedback).
Below 0: Bearish reflexivity (negative feedback).
Regime Strength: % of bars in “Active” state—higher = more persistent regime.
Tips:
- Use lower lookbacks for scalping, higher for swing trading.
- Combine with price action or your own system for confirmation.
- Works on all assets and timeframes—tune to your style.
Alerts
RRF Activation: Resonance crosses above primary threshold.
RRF Extreme: Resonance crosses above extreme threshold.
RRF Deactivation: Resonance falls below primary threshold.
Originality & Usefulness
RRF – Quantum Flow is not a mashup of existing indicators. It is a novel oscillator that models the feedback loop between perception and participation, then quantifies and visualizes the resulting resonance. The multi-layered color logic, energy field, and regime strength dashboard are unique to this script. It is designed for anticipation, not confirmation—helping you see regime shifts before they are obvious in price.
Chart Info
Script Name: Reflexivity Resonance Factor (RRF) – Quantum Flow
Recommended Use: Any asset, any timeframe. Tune parameters to your style.
Disclaimer
This script is for research and educational purposes only. It does not provide financial advice or direct buy/sell signals. Always use proper risk management and combine with your own strategy. Past performance is not indicative of future results.
Trade with insight. Trade with anticipation.
— Dskyz , for DAFE Trading Systems
FlowSpike Bollinger-VWAP-Stoch StrategyHere’s a concise description you can use when publishing the “FlowSpike Bollinger-VWAP-Stoch Strategy,” incorporating both how it works and how it performed in your recent backtest:
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Strategy Overview
The FlowSpike Bollinger-VWAP-Stoch Strategy is a 1-minute, intraday futures system designed for the CME E-mini Nasdaq-100 (NQM, June 2025). It combines three core signals:
1. Bollinger Bands (20, 2) – Identifies volatility extremes.
2. Stochastic Slow (14, 3, 3) – Provides momentum confirmation, with oversold (< 45) and overbought (> 55) thresholds, exiting at a mid-line crossover (50).
3. VWAP Filter (optional) – Ensures trades align with the intraday value trend.
A lightweight volume-spike filter (“FlowSpike”) further refines entries, requiring current bar volume to exceed a configurable multiple of its 20-bar average. Trades are only taken when price touches the lower or upper Bollinger band, stochastic and VWAP confirm direction, and a volume spike signals genuine market conviction.
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Execution Rules
• Session: 09:30 – 11:30 Eastern (customizable via input.session).
• Contract Size: 1 contract per signal.
• Risk Management: No pyramiding (single open trade), zero commissions/slippage assumed.
• Exits: RSI reversion or end-of-session flush ensures no overnight exposure.
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Backtest Performance (Apr 14 – May 23, 2025)
• Net Profit: $6,130 (12.26% on $50,000 capital)
• Gross Profit/Loss: $27,750 / $21,620
• Profit Factor: 1.28
• Total Trades: 85 (Win Rate: 68.2%)
• Avg P&L per Trade: $72
• Avg Win/Loss: $478 / $801
• Max Drawdown: $6,165 (12.16%)
• Sharpe & Sortino Ratios: 0.13 / 0.19
Compared to a buy-and-hold return of 78.4% over the same period, this strategy delivers modest—but consistent—intraday gains with controlled risk, making it a good candidate for traders seeking session-only exposure and clear, rule-based entries.
Keltner | Bollinger | Squeeze | Tuned RSII don't even know what I'm publishing, it an old version of my script says the banner
apparently my random chart goes with it... sigh
I just wanted to share the chart and commentary, but TradingView stopped me because I had non-public indicators attached....
RSI PullbackThis simple script triggers alert on a pullback, by highlighting when RSI drops below/above a certain value for a short time, before returning to original condition.
E.g. RSI14 is >50 for 30 candles, then it drops below 50 for just 1 candle, then rising back above the 50 level = alert triggered.
Information Asymmetry Gradient (IAG) What is the Information Asymmetry Gradient (IAG)?
The Information Asymmetry Gradient (IAG) is a unique market regime and imbalance detector that quantifies the subtle, directional “information flow” in price and volume. Inspired by information theory and market microstructure, IAG is designed to help traders spot the early buildup of conviction or surprise—the kind of hidden imbalance that often precedes major price moves.
Unlike traditional volume or momentum indicators, IAG focuses on the efficiency and directionality of information transfer: how much “informational energy” is being revealed by up-moves versus down-moves, normalized by price movement. It’s not just about net flow, but about the quality and asymmetry of that flow.
Theoretical Foundation
Information Asymmetry: Markets move when new information is revealed. If one side (buyers or sellers) is consistently more “informationally efficient” per unit of price change, an imbalance is building—even if price hasn’t moved much yet.
Gradient: By tracking the rate of change (gradient) between fast and slow information flows, IAG highlights when a subtle imbalance is accelerating.
Volatility of Asymmetry: Sudden spikes in the volatility of information asymmetry often signal regime uncertainty or the approach of a “surprise” move.
How IAG Works
Directional Information Content: For each bar, IAG estimates the “information per unit of price change” for both up-moves and down-moves, using volume and price action.
Asymmetry Calculation: Computes the difference (or ratio) between up and down information content, revealing directional bias.
Gradient Detection: Calculates both a fast and slow EMA of the asymmetry, then measures their difference (the “gradient”), normalized as a Z-score.
Volatility of Asymmetry: Tracks the standard deviation of asymmetry over a rolling window, with Z-score normalization to spot “information shocks.”
Flow Strength: Quantifies the conviction of the current information flow on a 0–100 scale.
Regime Detection: Flags “extreme” asymmetry, “building” flow, and “high volatility” states.
Inputs:
🌌 Core Asymmetry Parameters
Fast Information Period (short_len, default 8): EMA period for detecting immediate information flow changes.
5–8: Scalping (1–5min)
8–12: Day trading (15min–1hr)
12–20: Swing trading (4hr+)
Slow Information Period (long_len, default 34): EMA period for baseline information context. Should be 3–5x fast period.
Default (34): Fibonacci number, stable for most assets.
Gradient Smoothing (gradient_smooth, default 3): Smooths the gradient calculation.
1–2: Raw, responsive
3–5: Balanced
6–10: Very smooth
📊 Asymmetry Method
Calculation Mode (calc_mode, default "Weighted"):
“Simple”: Basic volume split by direction
“Weighted”: Volume × price movement (default, most robust)
“Logarithmic”: Log-scaled for large moves
Use Ratio (show_ratio, default false):
“Difference”: UpInfo – DownInfo (additive)
“Ratio”: UpInfo / DownInfo (multiplicative, better for comparing volatility regimes)
🌊 Volatility Analysis
Volatility Window (stdev_len, default 21): Lookback for measuring asymmetry volatility.
Volatility Alert Level (vol_threshold, default 1.5): Z-score threshold for volatility alerts.
🎨 Visual Settings
Color Theme (color_theme, default "Starry Night"):
Van Gogh-inspired palettes:
“Starry Night”: Deep blues and yellows
“Sunflowers”: Warm yellows and browns
“Café Terrace”: Night blues and warm lights
“Wheat Field”: Golden and sky blue
Show Swirl Effects (show_swirls, default true): Adds swirling background to visualize information turbulence.
Show Signal Stars (show_stars, default true): Star markers at significant asymmetry points.
Show Info Dashboard (show_dashboard, default true): Top-right panel with current metrics and market state.
Show Flow Visualization (show_flow, default true): Main gradient line with artistic effects.
Color Schemes
Dynamic color gradients adapt to both the direction and intensity of the information gradient, using Van Gogh-inspired palettes for visual clarity and artistic flair.
Glow and aura effects: The main line is layered with glows for depth and to highlight strong signals.
Swirl background: Visualizes the “turbulence” of information flow, darker and more intense as flow strength and volatility rise.
Visual Logic
Main Gradient Line: Plots the normalized information gradient (Z-score), color-coded by direction and intensity.
Glow/Aura: Multiple layers for visual depth and to highlight strong signals.
Threshold Zones: Dotted lines and filled areas mark “Building” and “Extreme” asymmetry zones.
Volatility Ribbon: Area plot of volatility Z-score, highlighting information shocks.
Signal Stars: Circular markers at each “Extreme” event, color-coded for bullish/bearish; cross markers for volatility spikes.
Dashboard: Top-right panel shows current status (Extreme, Building, High Volatility, Balanced), gradient value, flow strength, information balance, and volatility status.
Trading Guide: Bottom-left panel explains all states and how to interpret them.
How to Use IAG
🌟 EXTREME: Major information imbalance—potential for explosive move or reversal.
🌙 BUILDING: Asymmetry is forming—watch for a breakout or trend acceleration.
🌪️ HIGH VOLATILITY: Information flow is unstable—expect regime uncertainty or “surprise” moves.
☁️ BALANCED: No clear bias—market is in equilibrium.
Positive Gradient: Bullish information flow (buyers have the edge).
Negative Gradient: Bearish information flow (sellers have the edge).
Flow >66%: Strong conviction—crowd is acting in unison.
Volatility Spike: Regime uncertainty—be alert for sudden moves.
Tips:
- Use lower periods for scalping, higher for swing trading.
- “Weighted” mode is most robust for most assets.
- Combine with price action or your own system for confirmation.
- Works on all assets and timeframes—tune to your style.
Alerts
IAG Extreme Asymmetry: Extreme information asymmetry detected.
IAG Building Flow: Information flow building.
IAG High Volatility: Information volatility spike.
IAG Bullish/Bearish Extreme: Directional extreme detected.
Originality & Usefulness
IAG is not a mashup of existing indicators. It is a novel approach to quantifying the “surprise” or “conviction” element in market moves, focusing on the efficiency and directionality of information transfer per unit of price change. The multi-layered color logic, artistic visual effects, and regime dashboard are unique to this script. IAG is designed for anticipation, not confirmation—helping you see subtle imbalances before they become obvious in price.
Chart Info
Script Name: Information Asymmetry Gradient (IAG) – Starry Night
Recommended Use: Any asset, any timeframe. Tune parameters to your style.
Disclaimer
This script is for research and educational purposes only. It does not provide financial advice or direct buy/sell signals. Always use proper risk management and combine with your own strategy. Past performance is not indicative of future results.
Trade with insight. Trade with anticipation.
— Dskyz , for DAFE Trading Systems
Smoothed Average Directional IndexSimple. Sometimes all you need is a smoothed ADX for your strategy. you can control the smoothing in the settings. Enjoy.
ADX mura visionOverview
The Enhanced ADX with Custom 40/60 Levels is a Pine Script™ v6 open-source indicator that builds on the classic Average Directional Index by adding two critical thresholds at 40 and 60. These extra levels give you early warning of trend exhaustion and precise exit signals when paired with the mura indicator.
Key Features & Originality
Custom Thresholds (40/60): Beyond the standard ADX levels (25/50), levels at 40 and 60 mark advanced trend strength phases and highlight when momentum is beginning to fade.
Trend Weakness Alerts: Configurable alerts trigger when ADX dips below 60 or 40, signaling ideal exit opportunities before a full reversal.
Color-Coded ADX Line: The ADX line dynamically changes color upon crossing 40 and 60, making trend strength transitions instantly visible.
mura Indicator Synergy: Specially designed to complement the mura indicator—when mura signals an exit and ADX falls below your chosen threshold, you get a high-confidence cue to close your position.
How It Works
Advanced Trend Phases: ADX above 25 confirms a trend, above 40 indicates strong momentum, and above 60 signals extreme strength. A drop below 60 or 40 warns of weakening momentum.
Exit Confirmation: Combine a mura exit signal (e.g., dot flip or reversal) with an ADX cross below 40/60 to capture optimal exit points.
Usage & Inputs
ADX Length (default 14): Period for ADX calculation.
Level Inputs: Customize your threshold levels (default: 25, 40, 50, 60).
Alert Toggles: Enable alerts on crosses above or below each level.
Style Settings: Adjust line colors and widths for ADX and threshold lines.
Why This Adds Value
Early Exit Signals: Identify momentum loss before major reversals, protecting profits.
Cleaner Trade Management: Visual cues reduce guesswork when exiting trades.
Modular Design: Use standalone or integrate with mura for robust entry/exit workflows.
Pine Script™ Version: v6
Open-Source License: MPL-2.0
Big Mover Catcher BTC 4h🧠 Big Mover Catcher (BTC 4H Strategy) — Educational Tool
⚠️ Disclaimer: I am not a financial advisor. This script is for educational and testing purposes only. Cryptocurrency trading is highly volatile and involves significant risk. You can lose all of your invested capital.
📌 Overview
The Big Mover Catcher strategy is a work-in-progress trading system designed for Bitcoin (BTC) on the 4-hour chart. It aims to identify strong breakout moves by combining multiple technical indicators and conditions, allowing for high customization and filter-based confirmations.
This script is part of a personal project to learn Pine Script and backtesting on TradingView. It is currently in the testing and research phase.
🎯 Strategy Objective
Catch large, high-momentum breakout moves in the BTC market using:
Bollinger Band breakouts for entry signals
Momentum, volatility, and trend filters for trade confirmation
🧰 Features & Filters
The script provides a flexible set of filters that can be turned ON/OFF and adjusted directly from the settings panel:
✅ Entry Conditions
Price must break above or below Bollinger Bands
All selected filters must align before entry
🧪 Available Filters:
Relative Strength Index (RSI) with EMA/SMA smoothing
Average Directional Index (ADX) with EMA/SMA smoothing
Average True Range (ATR) with EMA/SMA smoothing
MACD Signal above or below zero
EMA 350 trend filter
ATR / ADX / RSI Threshold toggles for added control
🔥 Additional Feature:
Force Take Profit: Optionally closes the trade immediately if a candle closes with more than a defined % movement (default: 5%). This can help lock in quick profits during high volatility moves.
⚙️ Customizable Inputs
You can configure:
Stop loss percentage
All indicator lengths
Smoothing types (EMA/SMA)
Threshold activation toggles
Individual filter ON/OFF switches
This makes the strategy highly adaptable for educational exploration and optimization.
📊 Best Used For
Learning Pine Script and strategy structure
Testing filter combinations for BTC on the 4H timeframe
Understanding how different indicators interact in live markets
⚠️ Note: ❌ Short trades are currently disabled by default, as short-side logic is still under development.
❗ Final Reminder
This script is not financial advice. It is an educational tool. Use it to learn and explore trading logic. Trading cryptocurrencies carries high risk — only invest what you can afford to lose.
Stochastic RSI HistogramThe stochastic relative strength index (stochRSI) is a technical indicator that greatly influences how technically-minded investors read market momentum.
Fibo Normalized RSI & RSI RibbonPlots both standard and Z-score normalized RSI ribbons using Fibonacci-based periods. Supports adjustable normalization, optional 0–100 scaling, and multi-line visualizations for momentum and deviation analysis.
This tool is designed for traders who want to go beyond standard RSI by adding:
Statistical normalization (Z-score)
Multi-period analysis (Fibonacci structure)
Advanced divergence and exhaustion detection
It gives you both classical momentum context and mathematically rigorous deviation insight, making it ideal for:
Swing traders
Quant-inclined discretionary traders
Multi-timeframe analysts
Trend Confirmation
When both RSI and normalized RSI across short and long periods are stacked in the same direction (e.g., above 50 or with high Z-scores), the trend is likely strong.
Disagreement between the two ribbons (e.g., RSI high but normalized RSI flat) may indicate late-stage trend or false strength.
Mean Reversion Trades
Look for normalized RSI values > +2 or < -2 (i.e., ~2 standard deviations).
Cross-check with standard RSI to see if the move aligns with a traditional overbought/oversold level.
Great for fade/reversal setups when Z-score RSI is extreme but classic RSI is just beginning to turn.
Divergence Detection
Compare the slope of RSI vs. normalized RSI over same period:
If RSI is rising but normalized RSI is falling → momentum is fading despite apparent strength.
Excellent for early warnings before reversals.
Multi-Timeframe Confluence
Use short-period ribbons (e.g., 3–13) for tactical entries/exits.
Use long-period ribbons (e.g., 55–233) for macro trend bias.
Alignment across both = high-confidence zone.
Fibo MA & RSI RibbonDisplays customizable EMA and RSI ribbons using Fibonacci-based periods (3–233). Includes toggleable visibility, professional color coding, and supports 3–10 lines per ribbon for trend and momentum analysis.
