Super CandlesSuper Candles is a candle overlay based on the Super Signal Oscillator I have previously created giving you on candle confluence.
Candle coloring is based on RSI giving you on candle confluence when momentum is increasing or decreasing.
Multiple Mode Settings.
The first drop down lets you change the candle coloring based on your ideal trading style
Scalping | Intraday | Swing
Momentum Highlight toggle to enable and disable candle color transparency changes.
The second drop down gives you 3 options based how many signals you want to see on the chart.
HTF Signals dropdown giving you HTF confluence on lower timeframes.
Custom session filters so you can see signals only in your desired trading window
Custom VWAP Session for those of you that like VWAP retests and crossovers.
True day open VWAP based on 12:00am UTC-4
The Bands give you the option between 0-3 moving averages of your choice.
Preset to 13/48/200 EMA if you want to confirm Moving average retests and crosses with signals.
震盪指標
MACD INSANE SCALP 2.0 Description:
This integrated system for TradingView represents a multifaceted analytical architecture designed for decoding market dynamics and identifying operational confluences. Its conception is oriented to offer the trader an enriched decision-making paradigm, particularly in high-frequency and scalping scenarios, through the quantification and visualization of multiple vectors of technical information.
Fundamental Analytical Modules and Advanced Features:
1. Momentum and Dynamic Trend Analysis Engine (Based on MACD):
· Optimized MACD Visualization: 📊 Displays the Moving Average Convergence Divergence (MACD), its signal line, and the oscillation histogram. The MACD line is chromatically modulated in real-time by the RSI component (close, period 14), where RSI > 50 (fixed neutral threshold rsi_neutral_level_input = 50.0 in the code) induces a bullish coloring and RSI < 50 a bearish one, providing an immediate visual heuristic of the underlying momentum.
· Adaptive MACD Thresholding: 📈 Operates by default with dynamic MACD levels (derived from a 200-period lookback on MACD extremes; use_dynamic_macd_levels = true and dynamic_level_lookback_hl = 200 set in the code). The option to use fixed thresholds (+200/-200, also set) would require code modification. Visualization of 'R'/'S' markers at these levels is available (configurable via input).
· Heuristic Logic for Role Reversal of S/R at MACD Levels: 🔄 The 'R' and 'S' markers (if enabled) incorporate logic for transmutation: if the market price exceeds the projection necessary for MACD to reach a preidentified resistance level, said level is requalified as potential support (and vice versa), reflecting a dynamic adaptation to price action.
· Algorithmic Divergence Detection: 📉 The system automatically identifies and overlays (enabled by default with show_bull_div = true and show_bear_div = true; pivot parameters 5/5 and lookback 60 fixed in code) bullish and bearish divergences between the price structure and the MACD histogram. The colors of these indications are configurable.
· MACD Event Categorization: 📊 Crossover events (MACD line vs. signal; MACD line vs. zero) are classified (e.g., "Bullish (Signal Crossover)", "Pullback (Bearish > 0)") and accessible through the "Current Timeframe" info panel in the Main Summary Table.
2. Trend Strength Quantifier and Directional Bias Module (ADX Module):
· Integral Directional Analysis: 🧭 Uses the Average Directional Index (ADX) with its DI+ and DI- components (length 14, smoothing 14; fixed in code) for a quantitative assessment of the strength and directional vector of the prevailing trend.
Interpretation of ADX Status in Interface: 💬 A persistent textual label (adxMainTextLabel) in the indicator panel communicates the inferred ADX state for the chart's current timeframe (e.g., "Strong BULLISH trend", "Movement without strength"), based on predefined thresholds (range <=20, trend >=35; fixed in code).
3. Oscillatory Dynamics and Extremes Analysis (Stochastic Module – Tooltip Information in Table):
· Identification of Critical Zones and Intraday Trend: 🎯 The "Current Timeframe" panel in the Main Summary Table details the state of %K (Overbought, Oversold, Upper/Lower Zone or Middle) and its relative disposition to level 50.
· Generation of Qualified Crossover Signals (B/S): ✅ Crossovers of %K over %D from extreme oversold zones (signal 'B') or overbought zones (signal 'S') are detected.
4. Volatility Compression/Expansion Detection (Squeeze Module):
· Band Interaction Logic (BB vs. KC): ⛓️ Identifies the sqzOff_condition when Bollinger Bands (length 20, mult. 2.0; fixed) expand externally beyond both sides of the Keltner Channels (length 20, mult. 1.5; fixed. Use of TrueRange configurable). Note that the BB deviation calculation for this specific logic uses the KC multiplier sqz_kc_mult = 1.5 to replicate a particular variant instead of the BB's own multiplier.
· Visual Indicators of "Squeeze Off": ✨ Activation of sqzOff_condition] (BB outside KC) is signaled by crosses (color configurable via input sqz_star_color, default gray) on the zero line of the oscillator, if the sqz_show_stars option is enabled.
· Squeeze Momentum Vector: 🔥 A Squeeze Momentum value is computed by linear regression, whose interpretation (e.g., "Strong and Rising Bullish") is provided in the "Current Timeframe" panel.
5. Estimation of Implied Liquidity Levels (via MACD Histogram Pivots – Tooltip Information in Table):
· Heuristic Identification: 💧 An internal algorithm analyzes structural points (pivots) of the MACD histogram to infer price levels where liquidity zones may concentrate (detection parameters and lookback fixed in code).
· Discrete Presentation in Tooltip: 💡 These levels (nearest short and long liquidation points) are exposed exclusively in the "Other Data" section of the Main Summary Table.
6. Integration of Global Market Sessions (NEW):
· Key Session Identification: 🌎 The indicator now visually highlights major market sessions (Tokyo, London, New York), using their official GMT open and close times (customizable via inputs).
· Interactive Session Table (NEW): ⏰ A dedicated on-screen table (customizable position) shows the currently active session (with its icon and name). If no session is active, it indicates the next to open. Crucially, the countdown updates at the start of each new bar, accurately showing time remaining until the current session closes or the next opens.
7. Main Summary Table – Your MTF and Current Information Hub:🚀
This indicator presents a configurable on-screen table (position, background, border, text color) that centralizes critical information, accessible via tooltips when hovering over each section:
· "Current Timeframe" Section (Detailed Tooltip): 📊 Offers a comprehensive panel for the chart's current timeframe, including: Detailed ADX status; MACD crossover states; Complete Stochastic interpretation (%K, %D values, OB/OS states, trend vs level 50, crossover B/S signals with ADX strength); RSI value (with OB/OS levels 70/30 and fixed neutral 50) and its interpretation; Squeeze Momentum interpretation; and "Squeeze Off" Cross states (indicating if BB are outside KC and visible crosses).
· "Multitimeframe Summary" Section (Detailed Tooltip): 🌐 Provides an exhaustive MTF analysis. For each hierarchical timeframe (Higher, Medium, Lower; determined automatically): MACD, RSI, ADX, Squeeze (band state and momentum), and Stochastic, all with status and icons. BB calculation for MTF Squeeze also uses sqz_kc_mult as deviation multiplier.
· "General Summary" Section (Detailed Tooltip): 🧠 Activates a complete dynamically generated market scenario, including: suggested type of operation, overall weighted MTF sentiment (conclusion with icon, based on fixed weights: Higher 3.0, Medium 2.0, Lower 1.0), comparative TM analysis, confluence, and a tactical heuristic (Probability, Action, SL/TP notes).
· "Other Data" Section (Detailed Tooltip)📈: ℹ️ Provides MACD target prices (with S/R Flip logic) and inferred liquidation levels.
· Dominance Point and Total Point: 📈 These levels represent key zones where the highest volume or institutional interest concentrates. The dominance point indicates the level where the greatest price control was exerted during a prior move, while the total point refers to the most significant accumulation within a complete structure. Identifying them allows anticipation of possible reversals, institutional defense zones, or areas where price is more likely to stall or react.
8. Additional MTF Percentage Table:
Quick Global Sentiment Visualization: 📈 A second, smaller table (position, background, etc. configurable) shows concisely the consolidated percentages of Bullish (🟢), Neutral (🟡 with bias tint), and Bearish (🔴) sentiment derived from MTF analysis with fixed weights.
Price Action Zone IndicatorPrice Action Zone Indicator – Smart Support/Resistance & High-Probability Signals
Elevate your trading with dynamic price action analysis! The Price Action Zone Indicator identifies key support/resistance levels and generates precise entry signals by combining:
🔹 Multi-Layer Confirmation:
Smart S/R Zones: Auto-plots recent support/resistance based on a customizable lookback period.
Trend Filter: Uses SMA to confirm the broader trend direction (uptrend/downtrend).
Candlestick Patterns: Detects bullish/bearish pin bars and engulfing patterns for reversal signals.
RSI Momentum: Adds confluence with overbought/oversold conditions to avoid false breakouts.
🔹 Visual Trading Tools:
Clear Buy/Sell Signals: Triangle markers with labels for easy spotting.
Built-in Risk Management: Auto-plots stop-loss and take-profit levels based on ATR and your preferred risk-reward ratio.
Real-Time Alerts: Never miss a setup with customizable alerts for entries.
🔹 Why Traders Love It:
✅ Adaptive to Any Market: Works on Forex, Crypto, Stocks, and Commodities.
✅ Customizable: Adjust lookback periods, RSI thresholds, and RR ratios to fit your strategy.
✅ Clean & Intuitive: Avoids chart clutter while highlighting high-probability zones.
Perfect for: Swing traders, day traders, and anyone who relies on price action to time entries with precision.
📌 How to Use:
Add to your chart and adjust inputs (defaults optimized for 15M-4H timeframes).
Watch for buy/sell signals near plotted S/R levels with trend and RSI confirmation.
Trade with built-in TP/SL levels or customize further.
Pro Tip: Combine with higher-timeframe trends for even stronger setups!
🚀 Try it today and trade smarter with price action!
Key Features Recap:
Dynamic Support/Resistance Zones
Bullish/Bearish Pin Bar & Engulfing Detection
Trend-Filtered Signals (SMA)
RSI Overbought/Oversold Confluence
Auto Stop-Loss & Take-Profit Levels
Real-Time Alerts
Protected script – Free to use with no restrictions.
Disclaimer
The information and publications are not meant to be, and do not constitute, financial, investment, trading, or other types of advice or recommendations supplied or endorsed by TradingView.
Trading Assistant Dingue [TAD] OscillatorsTAD Oscillators – Companion Indicator for Trading Assistant Dingue
TAD Oscillators is a complementary indicator built to work seamlessly with the Trading Assistant Dingue. They’re designed to be used together but can also function independently.
Because the Trading Assistant overlays directly on the chart, there’s no room to display the 8 built-in oscillators over the candles. This separate indicator solves that by plotting all those oscillators in a clean, dedicated panel below the chart.
It uses the exact same settings as the Trading Assistant, so you don’t need to re-enter parameters or wonder what values you're working with. This makes it much easier to tweak and build your own strategy. If you can't see your RSI or MACD, how can you optimize them?
🔧 Key Features
Auto-syncs with Trading Assistant Dingue settings
Plot one or multiple oscillators at once
Add reference levels (e.g., 80/20 for RSI, 0 for ROC or MACD)
Simple visual structure for easy tuning
Works standalone or as a Trading Assistant companion
📊 Included Oscillators
Each oscillator can be turned on/off individually and customized.
By Default, the RSI and STOCH are displayed with lines at 80 and 20:
RSI 1 & 2
Custom length for RSI and its moving average. Default display includes 80 and 20 reference lines.
Stochastic 1 & 2
Full control over K and D values, with individual moving averages. More common than RSI for many traders.
Volume
A custom-built indicator based on raw volume and a moving average. Line at 0 helps visualize direction shifts.
MACD 1 & 2
Standard MACD with full custom settings. Includes line at 0. Useful for divergence and momentum analysis.
ROC (Rate of Change) 1 & 2 + Average
A slightly adjusted ROC formula. You get two separate inputs and a third line that averages both.
ADX & DMI
Choose to display the three ADX versions and their DMI+ and DMI– components. Great for tracking trend strength.
Mayer Multiple
Less common, but helpful for identifying over-extended markets. Sourced from TradingView.
OBV (On Balance Volume)
Plots OBV with a zero line for quick confirmation of trend with volume.
These oscillators are built into the Trading Assistant, but can’t be displayed over price candles. That’s what this indicator solves. Use this tool to fine-tune your setup, confirm signals, or develop your own trading strategy visually and clearly.
Note: TAD Oscillators is completely free. Trading Assistant Dingue is a paid indicator, but you don’t need it to use this one.
🔍 Search “Trading Assistant Dingue” to try it free.
RSI TrendSignal🔍 **Smart RSI System – Free & Open Source**
A powerful RSI-based indicator designed for traders who want clarity, simplicity, and filtered signals that *actually mean something*.
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### 🎯 Key Features:
✅ Classic RSI with custom smoothing
✅ Optional Bollinger Bands over RSI
✅ Built-in Divergence Detection (Regular Bullish/Bearish)
✅ Dynamic Buy/Sell Conditions based on RSI + MA cross
✅ STAR signals for high-conviction entries (Overbought/Oversold + strength filter)
✅ ATR-based strength filter and custom visualizations
✅ Works great on **crypto**, **forex**, or **indices**
✅ Fully open-source and beginner-friendly!
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### 📊 Recommended Timeframes:
15min, 1H, 4H, Daily – test and adjust settings for your style.
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### ⚙️ How to Use:
1. Watch for **Buy/Sell** shapes when RSI confirms crossover with smoothed MA.
2. **STAR signals** are stronger – when RSI is above 70 or below 30 with momentum separation.
3. Divergences (optional) can confirm reversals.
4. Use ATR plot or your own trailing stop logic for exit strategy.
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🔔 Alerts are built-in and ready to use.
📌 You can connect them to bots, webhooks, or Telegram (see alert templates in the script).
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🧠 **Built by a trader, for traders.**
Use this as a base and build your own version – or just trade it as is.
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💬 **Feedback / Questions / Want to talk?**
Feel free to message me on Telegram:
👉 (t.me/Ario_pinescript_pogramer)
This is a clean version of RSI TrendSignal with improved alerts.
It uses RSI cross with a smoothed moving average to generate filtered buy/sell signals.
No external links or bots. Fully compliant with TradingView rules.
📺 Demo & Tutorial coming soon on my YouTube channel – stay tuned
EMA 12/21 Crossover with ATR-based SL/TP📈 Ultimate Scalper v2
Strategy Type: Trend-Pullback Scalping
Indicators Used: EMA (12/21), MACD Histogram, ADX, ATR
Platform: TradingView (Pine Script v5)
Author:
🎯 Strategy Overview
The Ultimate Scalper v2 is a scalping strategy that catches pullbacks within short-term trends using a dynamic combination of 12/21 EMA bands, MACD Histogram crossovers, and ADX for trend confirmation. It uses ATR-based stop-loss and take-profit levels, making it suitable for volatility-sensitive environments.
🧠 Logic Breakdown
🔍 Trend Detection
Uses the 12 EMA and 21 EMA to identify the short-term trend:
Uptrend: EMA 12 > EMA 21 and ADX > threshold
Downtrend: EMA 12 < EMA 21 and ADX > threshold
The ADX (default: 25) filters out low-momentum environments.
📉 Pullback Identification
Once a trend is detected:
A pullback is flagged when the MACD Histogram moves against the trend (below 0 in uptrend, above 0 in downtrend).
An entry signal is triggered when the histogram crosses back through zero (indicating momentum is resuming in the trend direction).
🟢 Entry Conditions
Long Entry:
EMA 12 > EMA 21
ADX > threshold
MACD Histogram was below 0 and crosses above 0
Short Entry:
EMA 12 < EMA 21
ADX > threshold
MACD Histogram was above 0 and crosses below 0
❌ Exit Logic (ATR-based)
The strategy calculates stop-loss and take-profit levels using ATR at the time of entry:
Stop-Loss: Entry Price −/+ ATR × Multiplier
Take-Profit: Entry Price ± ATR × 2 × Multiplier
Default ATR Multiplier: 1.0
⚙️ Customizable Inputs
ADX Threshold: Minimum trend strength for trades (default: 25)
ATR Multiplier: Controls SL/TP distance (default: 1.0)
📊 Visuals
EMA 12 and EMA 21 band can be added manually for visual reference.
Entry and exit signals are plotted via TradingView’s built-in backtesting engine.
⚠️ Disclaimer
This is a backtesting strategy, not financial advice. Performance varies across markets and timeframes. Always combine with additional confluence or risk management when going live.
Stoch bot s50!Stoch S50 Strategy — Trend Analysis and Trading Force Strategy
Stoch S50 Strategy is a trend analysis strategy designed to help users assess entry and exit points based on price direction. It uses a combination of technical tools such as Stochastic, RSI, EMA and trading volume filters to increase the accuracy of signals. It is suitable for assets with clear trends such as S50 Futures.
Preliminary warning
This strategy is developed to be used as a tool to help analyze only. It should not be used as an automatic trading signal. Users should study the data, backtest and assess the risks by themselves before using it for real.
Key features of the strategy
Use the EMA50 line to assess the main trend.
Uptrend: Closing price is above EMA50
Downtrend: Closing price is below EMA50
Conditions for analyzing entry points
Uptrend case:
Stochastic < 25 (in the Oversold zone)
RSI > 50 (Strong momentum)
Trading volume is greater than the 20-day average (if enabled)
Downtrend case:
Stochastic > 75 (in the Overbought zone)
RSI < 50
Selling volume is greater than the 20-day average (if enabled)
Risk management system in the strategy example
Set automatic profit (Take Profit) at 120 ticks
Limit loss (Stop Loss) at 40 ticks
There is a Trailing Stop system to lock in profits if the price moves in the desired direction (40 points + offset 15)
Important note
This strategy is designed by considering the characteristics of assets such as S50 Futures, which have clear trends and volumes. Users who are interested in using it with individual stocks, crypto or Forex should backtest and adjust the parameters to suit the asset before actual use.
250400 MASTER RAMANA PSAR PDH HIGH LOWindicator based on moving avarages , macd with buy and sell signlas. Works good in smaller timeframe mainly for intra day trading. Based on the input from mr Ramanna .
BBS – Bond Breadth Signal"When bonds scream, breadth collapses, and fear spikes — BBS listens."
🧠 BBS – Bond Breadth Signal
A reversal timing tool built on macro conviction, not price noise.
The Bond Breadth Signal (BBS) was developed to identify major market inflection points by combining four key market stress indicators:
1) 10-Year Yield ROC – Measures sharp moves in the bond market
2) Z-Score of the 10Y – Captures statistical extremes
3) NSHF (Net Highs–Lows) – Signals internal market strength or weakness
4) TLT ROC + VIX – Confirmations of flight to safety and volatility-driven fear
When all conditions align, BBS marks either a For-Sure Buy or For-Sure Sell — these are rare, high-confidence signals designed to cut through noise and focus on true market dislocations.
🔧 Features:
-Background color and signal arrows on confirmation days
-Signals remain visually active for 3 days for added clarity
-Fully adjustable thresholds and alert toggles
-Plot panel for yield, TLT, NSHF, VIX, and Z-score visuals
This tool isn’t designed to fire every day. It’s meant to wait for those moments when the market truly bends — not just wiggles.
Best used on major indices (SPY, QQQ, IWM) to assess macro turning points.
RSI with ADX Rising Oscillator (MTF)This Pine Script v6 indicator combines RSI (Relative Strength Index) with an ADX Rising Oscillator, along with optional divergence detection and multi-timeframe support.
Multi-Timeframe Support: The script allows you to analyze RSI and ADX from different timeframes (default 60 minutes) while viewing on your current chart timeframe.
RSI Analysis:
Standard 14-period RSI calculation with customizable source and length
Visual zones for overbought (70+) and oversold (30-) conditions
Optional smoothing with various moving averages (SMA, EMA, etc.) and Bollinger Bands
Bullish/bearish divergence detection with alerts
ADX Rising Oscillator:
Uses ADX (Average Directional Index) to measure trend strength
Creates an oscillator that only shows values when ADX is rising (indicating strengthening trend)
Colors the oscillator based on RSI direction (green for rising RSI, red for falling RSI)
Shows positive values when DI+ > DI- (bullish bias) and negative when DI- > DI+ (bearish bias)
Chaikin Oscillator with EMA and AlertsOverview
This indicator plots the classic Chaikin Oscillator along with an EMA overlay to help identify changes in accumulation or distribution momentum. It includes visual markers and built-in alerts for key crossover events such as crossing the zero line and crossing above or below the Chaikin EMA.
Concepts
The Chaikin Oscillator is calculated as the difference between two EMAs of Accumulation/Distribution (A/D) volume. It is used to measure the momentum behind buying and selling pressure. An EMA is applied to the oscillator itself to smooth out signals and provide an additional layer of trend confirmation. Crossovers above or below zero, and above or below the EMA, are interpreted as potential signals of market sentiment shifts.
How to Use the Indicator
Apply the indicator to any chart and select your preferred short, long, and EMA lengths. The script will plot the Chaikin Oscillator in teal and its EMA in red. Triangles and labels will appear on the chart when the oscillator crosses above or below the zero line, or when it crosses its EMA. Green triangles indicate bullish zero-line crossovers, while red triangles indicate bearish ones. Lime and maroon labels signal EMA crossovers. Use these signals to assess momentum shifts and potential entry or exit points.
Interpretation
When the Chaikin Oscillator is above zero and rising, it suggests strong buying pressure. When it is below zero and falling, it suggests strong selling pressure. A crossover above the EMA may indicate an emerging bullish trend, while a crossover below the EMA may suggest increasing bearish momentum. Using both the zero line and EMA crossover together helps filter noise and improves reliability of momentum-based signals.
Notes
The indicator includes four alert conditions that can be enabled in TradingView to notify you of Chaikin Oscillator crossovers. It works across all asset classes and timeframes. This tool is especially useful for identifying momentum shifts ahead of price moves and for confirming volume-based signals in trend continuation or reversal scenarios. Adjust input lengths to suit your trading style or the volatility of the instrument you are analyzing.
Chaikin Oscillator Multi-Timeframe BiasOverview
Chaikin Oscillator Multi-Timeframe Bias is an indicator designed to help traders align with institutional buying and selling activity by analyzing Chaikin Oscillator signals across two timeframes—a higher timeframe (HTF) for trend bias and a lower timeframe (LTF) for timing. This dual-confirmation model helps traders avoid false breakouts and trade in sync with market momentum and accumulation or distribution dynamics.
Core Concepts
The Chaikin Oscillator measures the momentum of accumulation and distribution based on price and volume. Institutional traders typically accumulate slowly and steadily, and the Chaikin Oscillator helps reveal this pattern. Multi-timeframe analysis confirms whether short-term price action supports the longer-term trend. This indicator applies a smoothing EMA to each Chaikin Oscillator to help confirm direction and reduce noise.
How to Use the Indicator
Start by selecting your timeframes. The higher timeframe, set by default to Daily, establishes the broader directional bias. The lower timeframe, defaulted to 30 minutes, identifies short-term momentum confirmation. The indicator displays one of five labels: CALL Bias, CALL Wait, PUT Bias, PUT Wait, or NEUTRAL. CALL Bias means both HTF and LTF are bullish, signaling a potential opportunity for long or call trades. CALL Wait indicates that the HTF is bullish, but the LTF hasn’t confirmed yet. PUT Bias signals bearish alignment in both HTF and LTF, while PUT Wait indicates HTF is bearish and LTF has not yet confirmed. NEUTRAL means there is no alignment between timeframes and directional trades are not advised.
Interpretation
When the Chaikin Oscillator is above zero and also above its EMA, this indicates bullish momentum and accumulation. When the oscillator is below zero and below its EMA, it suggests bearish momentum and distribution. Bias labels identify when both timeframes are aligned for a higher-probability directional setup. When a “Wait” label appears, it means one timeframe has confirmed bias but the other has not, suggesting the trader should monitor closely but delay entry.
Notes
This indicator includes alerts for both CALL and PUT bias confirmation when both timeframes are aligned. It works on all asset classes, including stocks, ETFs, cryptocurrencies, and futures. Timeframes are fully customizable, and users may explore combinations such as 1D and 1H, or 4H and 15M depending on their strategy. For best results, consider pairing this tool with volume, volatility, or price action analysis.
System 0530 - Stoch RSI Strategy v13 SL-Priority TP-ReversalStrategy Overview: System 0530 - Stochastic RSI Multi-Timeframe
This TradingView Pine Script outlines a strategy primarily based on the Stochastic RSI (Stoch RSI) indicator, employing a multi-timeframe approach for signal generation and confirmation. It is designed to operate on a 5-minute chart, referencing 15-minute data for higher-level context.
Core Mechanics:
Primary Indicator: Stochastic RSI, used to identify overbought/oversold conditions and potential momentum shifts.
Timeframes:
5-minute chart: For initial signal triggers and primary execution.
15-minute chart: For signal confirmation and certain take-profit conditions.
Entry Logic:
Bullish Market Bias Adjustment: Reflecting an overall bullish market trend, this strategy is intended to be applied with more tolerance or lower requirements for triggering long positions compared to short positions. This can be achieved by adjusting the input parameters accordingly (e.g., setting a higher stoch_5min_k_long_trigger threshold, allowing longs to trigger when less oversold, or a higher stoch_15min_long_entry_level, requiring less deep confirmation for longs).
5-Minute Initial Trigger:
Long: 5-minute Stoch RSI K-line crosses above its D-line, AND the K-value at the time of the cross is below a specified stoch_5min_k_long_trigger level.
Short: 5-minute Stoch RSI K-line crosses below its D-line, AND the K-value at the time of the cross is above a specified stoch_5min_k_short_trigger level.
15-Minute Confirmation:
After a 5-minute trigger, the strategy waits for a configurable number of 5-minute bars (wait_window_5min_bars) for confirmation from the 15-minute timeframe.
Long Confirmation: 15-minute Stoch RSI K-line must be strictly greater than its D-line, AND the 15-minute K-value must be below stoch_15min_long_entry_level.
Short Confirmation: 15-minute Stoch RSI K-line must be strictly less than its D-line, AND the 15-minute K-value must be above stoch_15min_short_entry_level.
Position Lock: No new entry signals are generated if the strategy already holds an open position.
Duplicate Signal Filter: A cooldown period, defined by min_bars_between_signals, must pass before another signal in the same direction can be considered.
Exit Logic:
Stop-Loss (SL):
The SL is set based on the low (for longs) or high (for shorts) of the 5-minute bar on which the trade was entered.
The position is closed if a subsequent 5-minute bar's closing price moves beyond this SL level.
SL checks are prioritized over Take-Profit checks.
Take-Profit (TP) - Two-Stage Mechanism:
TP1 (Closes 50% of the position):
Priority A (Extreme K Levels): If the 5-minute Stoch K OR 15-minute Stoch K value exceeds extreme_long_tp_level (for longs) or drops below extreme_short_tp_level (for shorts).
Priority B (Conditional 5-min Cross + 15-min K-Reversal): If Extreme K conditions are not met, TP1 is triggered if:
A 5-minute Stoch RSI K/D crossover occurs (K crosses below D for longs; K crosses above D for shorts - using strict ta.crossunder/ta.crossover).
AND this 5-minute crossover is confirmed by a 15-minute Stoch K-value "reversal" (current 15m K < previous 15m K for longs; current 15m K > previous 15m K for shorts).
TP2 (Closes remaining 50% of the position):
This stage is active only after TP1 has been taken.
If the 5-minute Stoch K OR 15-minute Stoch K value reaches the same extreme_long_tp_level or extreme_short_tp_level again, a waiting period begins, defined by tp2_extreme_k_wait_bars (number of 5-minute bars).
If the extreme K condition persists after this waiting period, TP2 is executed.
If the extreme K condition disappears during the waiting period, the TP2 attempt for that instance is cancelled.
If tp2_extreme_k_wait_bars is set to 0, TP2 will trigger immediately upon the extreme K condition being met after TP1.
Note on Fine-Tuning (as per user context):
This strategy has been specifically fine-tuned for SPY. As with any trading system, its performance can vary across different instruments and market conditions. The user notes that to potentially maximize profits, especially in trending scenarios where the current "Extreme K" based TP2 might exit prematurely, it is advisable to explore and integrate other indicators or alternative take-profit methodologies. Dynamic approaches like ATR (Average True Range) trailing stops or trend-following exit signals could be considered for managing the second portion of the position.
🔥 Delta Emo + VWAP HUD (Clean) Delta Emo + VWAP HUD (Clean)
Overview
The Delta Emo + VWAP HUD (Clean) is a powerful and visually intuitive Pine Script® indicator designed to provide traders with real-time market insights directly on their charts. This all-in-one heads-up display (HUD) consolidates critical technical metrics—price action, volume surges, VWAP, RSI, MACD, and session time—into a sleek, customizable table. Built for traders who value clarity and efficiency, this indicator helps you stay focused on key market dynamics without cluttering your workspace.
Key Features
Price & Change Tracking : Displays the current price and percentage change, color-coded for quick identification of bullish (lime) or bearish (red) movements.
Volume Surge Detection : Identifies high-volume "HYPE" moments (volume > 1.5x the 20-period SMA) and directional volume trends (UP, DOWN, or NEUTRAL), highlighted with vivid orange for surges.
VWAP Integration : Tracks the Volume Weighted Average Price (VWAP) and signals whether the price is above (bullish, lime) or below (bearish, red) the VWAP line.
RSI Analysis : Monitors the 14-period Relative Strength Index (RSI), labeling overbought (>70), oversold (<30), or neutral conditions with dynamic color coding (orange for overbought, lime for oversold, gray for neutral).
MACD Trend : Evaluates the MACD (12, 26, 9) to display bullish (lime), bearish (red), or flat (gray) trends based on the MACD line's position relative to the signal line.
Session Clock : Shows the current time (HH:MM) for real-time session awareness.
Clean HUD Design : Presents all metrics in a compact, top-right table with a professional black background and white text, ensuring readability and minimal chart obstruction.
Why Use This Indicator?
The Delta Emo + VWAP HUD is ideal for traders seeking a streamlined, data-driven approach to decision-making. Whether you're a day trader, swing trader, or scalper, this indicator delivers actionable insights at a glance. The combination of volume surge detection, VWAP positioning, RSI conditions, and MACD trends empowers you to gauge market momentum, identify potential reversals, and align with broader trends—all from a single, user-friendly interface.
How It Works
The HUD updates on every bar, ensuring real-time data accuracy.
Color-coded metrics (lime for bullish, red for bearish, orange for high-energy states, gray for neutral) make it easy to interpret market conditions instantly.
The indicator is lightweight, overlay-friendly, and designed to complement any trading setup without overwhelming the chart.
Usage Tips
Scalping : Use volume surges ("HYPE") and VWAP positioning to time entries and exits during high-momentum periods.
Swing Trading : Leverage RSI and MACD signals to confirm trend direction and avoid overbought/oversold traps.
Customization : Adjust the RSI period, MACD settings, or volume surge threshold in the code to match your trading style.
License
This script is released under the Mozilla Public License 2.0 (mozilla.org).
Author
© StanTheTradingMan
Get Started
Add the Delta Emo + VWAP HUD (Clean) to your TradingView chart and take control of your trading with real-time, actionable insights. Stay ahead of the market with this clean, professional, and powerful tool!
Combined ATPC & MACD DivergenceTrend Optimizer + Divergence Finder in One Unified Tool
🔍 Overview:
This powerful dual-system indicator merges two proven analytical engines:
✅ The Algorganic Typical Price Channel (ATPC) — a custom trend oscillator that highlights mean-reversion and directional bias.
✅ A refined MACD system with divergence detection, enhanced with an adjusted Donchian midline for real-time trend strength filtering.
Together, they provide a high-confidence, multi-signal system ideal for swing trading, scalping, or confirming reversals with context.
⚙️ Core Components & Logic
🧠 1. ATPC Engine (Trend Commodity Index)
A momentum and volatility-normalized oscillator based on the typical price (H+L+C)/3:
TrendCI Line (Blue) – Main trend signal based on smoothed CCI logic.
TrendLine2 (Orange) – A slower smoothing of TrendCI for crossovers.
Key Zones (customizable):
🔴 Ultra Overbought: +73
🟣 Overbought: +58
🟣 Oversold: -58
🔴 Ultra Oversold: -73
Trade Logic:
✅ Buy Signal: TrendCI crosses above TrendLine2 while in oversold zone
❌ Sell Signal: TrendCI crosses below TrendLine2 while in overbought zone
Additional visual feedback:
Histogram Bars show strength and direction of momentum shift
Green/Red Circles highlight potential long/short setups
📉 2. MACD System + Divergence Finder
Classic MACD enhanced with a Donchian Midline overlay to filter trend bias.
🔷 MACD Line and 🟠 Signal Line show crossover momentum
🟩/🟥 Histogram shows distance from the signal line
🟪 Adjusted Donchian Midline dynamically adapts to range-bound vs trending environments
Background Color provides real-time trend state:
✅ Green = Bullish Trend
❌ Red = Bearish Trend
No color = Neutral / Choppy
MACD Boundaries (user-defined):
Overbought: +1.0
Oversold: -1.0
🔀 3. Divergence Detection
Spot hidden power shifts before price reacts:
🔼 Positive Divergence – Price makes lower lows, but MACD histogram rises
🔽 Negative Divergence – Price makes higher highs, but MACD histogram weakens
These are visually marked with:
Green “+Div” label (bullish reversal cue)
Red “–Div” label (bearish exhaustion signal)
🎯 How to Use It
For Trend Traders:
Stay in sync with macro trend using MACD histogram + background
Use ATPC crossovers for precision entries
Avoid signals during neutral background (chop filter)
For Reversal Traders:
Look for bullish +Div with ATPC buy signal in oversold zone
Look for bearish –Div with ATPC sell signal in overbought zone
Mid-Donchian line can act as confluence or breakout trigger
For Scalpers & Intraday Traders:
Combine with VWAP, liquidity zones, or order flow levels
ATPC crossovers + MACD histogram zero-line flip = potential scalp entry
Use histogram slope and divergence to avoid false momentum traps
🧩 Customizable Inputs
🎛️ ATPC: Channel & Smoothing lengths, overbought/oversold thresholds
🎛️ MACD: Fast/slow EMAs, signal smoothing, Donchian period, bounds
🎨 Fully theme-compatible with adjustable colors and line styles
🔔 Alerts (Add Your Own)
While this version doesn’t contain built-in alerts, you can easily add alerts based on:
buySignal or sellSignal from ATPC logic
Histogram cross zero or trend flip
MACD Divergence event
📜 “This indicator doesn't just show signals—it tells a story about who’s in control of the market, and when that control might be slipping.”
Momentum StrategyMomentum Strategy using Volume, RSI and MACD
Optimised using AI to determine:
"Volume MA Lookback" and Volume Spike Threshold"
"RSI Length" vs. "RSI Midline Level"
"MACD Fast Length" , "MACD Slow Length" and"MACD Signal Length"
to generate a "Slow MA Length"
P4H SFP StrategySignals Long or Short Entries based on Previous 4H low/high. Entry criteria are SFP/Rejection of P4h L/H and candle close in opposite direction. RSI must be 65/35 but can customize. Stop/TP 1% from entry. All of this is customizable. Stats are shown and you can change the time range of that as well.
Universal Valuation | QuantMAC🎯 Universal Valuation | QuantMAC
🚀 Professional-Grade Valuation Engine with 14+ Technical Components
The Universal Valuation indicator is a sophisticated composite analysis tool that combines multiple technical indicators, statistical measures, and risk ratios to provide a comprehensive assessment of asset valuation across all market conditions and timeframes.
📊 Core Architecture & Methodology
🔬 Z-Score Normalization System
Each component is normalized using statistical Z-scores, which measure how many standard deviations a value is from its historical mean. This standardization allows different indicators to be combined meaningfully:
Positive Z-scores indicate values above historical average (potentially overvalued)
Negative Z-scores indicate values below historical average (potentially undervalued)
Individual lookback periods for each component ensure optimal sensitivity
Real-time statistical calculations with dynamic standard deviation adjustments
📈 Composite Scoring Algorithm
The final valuation score is calculated as the weighted average of all enabled components, providing a unified view of market conditions while maintaining granular control over individual inputs.
🛠️ Technical Components Breakdown
📊 Momentum & Oscillator Components
🎯 RSI (Relative Strength Index)
Function: Measures price momentum and overbought/oversold conditions
Default Settings: 21-period RSI with 150-period Z-score normalization
Analysis: Values above 70 (traditional) become positive Z-scores, indicating potential overvaluation
Edge: Z-score normalization adapts to changing market volatility unlike fixed thresholds
🌊 CCI (Commodity Channel Index)
Function: Identifies cyclical price patterns and extreme price levels
Default Settings: 30-period CCI with 150-period Z-score normalization
Analysis: Measures price deviation from statistical mean using typical price (HLC/3)
Edge: Excellent for identifying price extremes in trending and ranging markets
🔵 Chande Momentum Oscillator
Function: Advanced momentum indicator using sum of gains vs. sum of losses
Default Settings: 50-period calculation with 50-period Z-score normalization
Analysis: Formula: 100 * (Sum_Gains - Sum_Losses) / (Sum_Gains + Sum_Losses)
Edge: Less prone to whipsaws compared to RSI, better momentum persistence detection
🎭 IMI (Intraday Momentum Index)
Function: Combines RSI concept with intraday price action analysis
Default Settings: 100-period calculation with 150-period Z-score normalization
Analysis: Uses gains/losses based on close vs. open rather than close-to-close
Edge: Captures intraday sentiment and gap behavior effectively
📈 Price Action & Trend Components
📊 Bollinger Bands Position
Function: Measures price position relative to volatility-adjusted bands
Default Settings: 30-period bands with 50-period Z-score normalization
Analysis: (Price - SMA) / (2 * Standard_Deviation) normalized to Z-score
Edge: Adapts to volatility changes, providing context-aware overbought/oversold levels
💹 Price Z-Score
Function: Direct statistical analysis of price deviation from historical mean
Default Settings: 150-period lookback for Z-score calculation
Analysis: Pure price momentum without indicator lag or smoothing
Edge: Unfiltered price analysis, excellent for mean reversion strategies
📊 Disparity Index
Function: Measures percentage deviation of price from its moving average
Default Settings: 10-period SMA with 150-period Z-score normalization
Analysis: 100 * (Price - SMA) / SMA, then normalized to Z-score
Edge: Highly sensitive to short-term price deviations, excellent for timing entries
🎯 TEMA (Triple Exponential Moving Average)
Function: Advanced moving average with reduced lag and improved responsiveness
Default Settings: 10-period TEMA with 150-period Z-score normalization
Analysis: Triple-smoothed EMA that maintains trend-following capability with less noise
Edge: Superior trend identification with minimal lag compared to traditional MAs
📊 Volume & Market Structure Components
📈 VWAP (Volume Weighted Average Price)
Function: Incorporates volume into price analysis for institutional perspective
Default Settings: Standard VWAP with 300-period Z-score normalization
Analysis: Compares current price to volume-weighted institutional benchmark
Edge: Reveals institutional sentiment and identifies fair value zones
⚡ Intraday Momentum
Function: Measures session-based momentum using open-to-close movement
Default Settings: (Close - Open) / Open * 100 with 250-period Z-score normalization
Analysis: Captures daily sentiment and gap behavior in percentage terms
Edge: Excellent for intraday trading and gap analysis strategies
🎲 Advanced Statistical Components
🌊 Hurst Exponent (Optional)
Function: Measures market efficiency and trend persistence characteristics
Default Settings: 100-period calculation with 200-period Z-score normalization
Analysis: Values > 0.5 indicate trending markets, < 0.5 indicate mean-reverting markets
Edge: Identifies market regime changes and optimal strategy selection
Note: Computationally intensive, disabled by default for performance
📊 Risk-Adjusted Performance Ratios
⚡ Sharpe Ratio
Function: Risk-adjusted return measurement using total volatility
Default Settings: 400-period calculation with 120-period Z-score normalization
Analysis: (Return - Risk_Free_Rate) / Standard_Deviation of returns
Edge: Identifies periods of superior risk-adjusted performance
🎯 Sortino Ratio
Function: Risk-adjusted return using only downside deviation (superior to Sharpe)
Default Settings: 400-period calculation with 120-period Z-score normalization
Analysis: (Return - Risk_Free_Rate) / Downside_Deviation
Edge: More accurate risk assessment as it ignores upside volatility
🌟 Omega Ratio
Function: Advanced risk measure comparing gains above threshold to losses below
Default Settings: 400-period calculation with 200-period Z-score normalization
Analysis: Sum_of_Gains_Above_Threshold / Sum_of_Losses_Below_Threshold
Edge: Captures full return distribution, not just mean and variance
🎨 Visualization & Interface
🌈 Dual Color Schemes
Bright Mode: Vibrant colors for clear daylight visibility
Dark Mode: Muted tones for low-light trading environments
Adaptive Gradients: Color intensity scales with Z-score magnitude
Background Highlighting: Optional panel and chart background coloring for extreme conditions
📊 Comprehensive Data Table
Real-time Z-scores for each enabled component
Composite score with gradient coloring
Valuation phase classification (6 distinct levels)
Toggle individual components on/off for custom analysis
🎯 Valuation Phase Classifications
📈 Systematic Valuation Levels
Extremely Undervalued: Z-score ≤ -2.0 (Exceptional buying opportunity)
Strongly Undervalued: Z-score ≤ -1.3 (Strong buying signal)
Moderately Undervalued: Z-score < -0.65 (Potential buying opportunity)
Fairly Valued: Z-score -0.65 to 0.5 (Neutral zone)
Slightly Overvalued: Z-score 0.5 to 1.2 (Caution zone)
Moderately Overvalued: Z-score 1.2 to 2.0 (Potential selling zone)
Strongly Overvalued: Z-score ≥ 2.0 (Strong selling signal)
🌍 Universal Asset Compatibility
✅ Equity Markets - Individual stocks, ETFs, indices, sector rotation analysis
✅ Cryptocurrency - Bitcoin, altcoins, DeFi tokens, NFT projects
8H
12H
4H
🚀 Key Strategic Advantages
🔬 Scientific Approach
Unlike traditional indicators that use fixed thresholds, the Universal Valuation employs dynamic statistical normalization that adapts to changing market conditions and volatility regimes.
⚡ Multi-Dimensional Analysis
Combines momentum, trend, volume, and risk-adjusted metrics to provide a 360-degree view of market valuation, reducing false signals and improving decision accuracy.
🎯 Customizable Framework
Enable or disable individual components to create custom valuation models tailored to specific assets, strategies, or market conditions.
📊 Institutional-Grade Metrics
Incorporates sophisticated risk ratios (Sharpe, Sortino, Omega) typically used by hedge funds and institutional investors.
💡 Professional Trading Applications
🎯 Mean Reversion Strategies
Identify extreme valuation levels for contrarian entries
Use composite Z-score thresholds for systematic signal generation
Combine with volume analysis for confirmation
📈 Trend Following Enhancement
Avoid trend entries during overvalued conditions
Use undervalued readings to add to existing positions
Time trend continuation trades with valuation support
🔄 Portfolio Management
Asset allocation based on relative valuation scores
Risk management using integrated Sharpe/Sortino ratios
Sector rotation timing using cross-asset comparison
⚡High-Frequency Applications
Intraday momentum component for scalping strategies
VWAP analysis for institutional order flow
Real-time composite scoring for algorithmic systems
🛠️ Configuration Best Practices
📊 Conservative Setup (Long-term)
Enable all components except Hurst Exponent
Use longer Z-score periods (200+) for stability
Focus on -1.3/+2.0 thresholds for major signals
⚡ Aggressive Setup (Short-term)
Emphasize momentum components (RSI, CCI, Chande)
Shorter Z-score periods (50-100) for responsiveness
Use -0.65/+1.2 thresholds for frequent signals
🎯 Risk-Focused Setup
Prioritize Sharpe, Sortino, and Omega ratios
Enable VWAP and price components
Use conservative thresholds with position sizing guidance
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🏆 Professional Multi-Asset Valuation System
The Universal Valuation indicator represents a quantum leap in technical analysis sophistication, combining academic rigor with practical trading applications. By normalizing diverse technical components through statistical Z-scores, it provides objective, data-driven valuation assessments that adapt to any market condition.
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📝 Disclaimer: This indicator is for educational and informational purposes only. The statistical models and risk ratios do not guarantee future performance. Always conduct thorough analysis and implement proper risk management practices.
ADX with Signal & ThresholdsHere’s a concise description and instruction set for your ADX script:
📊 ADX with Signal & Thresholds – Description & Instructions
This indicator plots the ADX line, a custom signal line, and up to three threshold levels to help assess trend strength.
🔧 How It Works
• ADX measures trend strength (not direction)
• Signal Line is a smoothed version of ADX using your selected MA type
• Thresholds highlight trend significance levels (e.g. 20 = weak, 25/40 = strong)
⚙️ Inputs
• ADX Length: Defines smoothing period
• Signal Line: Customizable MA type (EMA/SMA/RMA/TMA) and length
• Threshold Lines: Adjustable levels with individual colors
🧠 Use It To
• Spot trend confirmation when ADX > Signal
• Detect strong trends above threshold levels (e.g. >25 or >40)
• Filter out sideways markets when ADX < 20
Let me know if you want to add alerts for crossovers or threshold breaches.
Ind1_MIST_TMRSThis script combines multiple indicators (Trend, Momentum and relative Strength), so that user can decide on entry points based on the combination.
It uses
1) ADX
2) RSI
3) Relative strength (RS)
ADX and RSI has threshold value settings. ADX Threshold values is generally between 20 and 25, whereas RSI threshold value is between 50 and 55. The threshold lines will appear on indicator.
Relative strength of an asset under review can be compared against the main index or sectoral index.
Set relative strength period as given below for best analysis
1) 12 for Monthly charts
2) 52 for weekly charts
3) 123 for daily charts
The RS is displayed as background color. By default background color is Green for RS>0 and Red for RS<0
Note:
RSI, ADX and RS can be hidden by deselecting "Show RSI", "Show ADX" and "Show RS" from inputs settings
When RS is deselected from inputs setting then background color is white
This indicator will be displayed in the section below the chart.
QG-Particle OscillatorThis is an advanced oscillator based on auxiliary particle filter. It separates signal from noise and uses smoothing algorithm similar to JMA.
The main oscillator line is a smoothed and detrended version of the price series similar to detrended oscillator line. The purple/aqua lines are a prediction based on an additional adaptive smoothing technique and current volatility.
The prediction is smoothed twice and is supposed to represent the true signal without any noise, thus the prediction should always be less than the raw detrend line. However, certain volatile conditions will cause the prediction to cross above/below the detrend line. When this happens the likelihood of a reversal or pullback is extremely high.
There are 3 dots on the zero line- Red, Green and Yellow. The yellow dots warn of an eminent pullback 2 bars before it actually occurs. This is a non-repainting indicator.
One can also use this indicator to trade CCI signals, similar to zero line rejection in existing trend.
The indicator has 2 settings- Period and Phase. The phase represents cycle phase and Period represents oscillator period.
Credits: This indicator has been originally published for Ninjatrader and this is conversion into pinescript.
CNN Statistical Trading System [PhenLabs]📌 DESCRIPTION
An advanced pattern recognition system utilizing Convolutional Neural Network (CNN) principles to identify statistically significant market patterns and generate high-probability trading signals.
CNN Statistical Trading System transforms traditional technical analysis by applying machine learning concepts directly to price action. Through six specialized convolution kernels, it detects momentum shifts, reversal patterns, consolidation phases, and breakout setups simultaneously. The system combines these pattern detections using adaptive weighting based on market volatility and trend strength, creating a sophisticated composite score that provides both directional bias and signal confidence on a normalized -1 to +1 scale.
🚀 CONCEPTS
• Built on Convolutional Neural Network pattern recognition methodology adapted for financial markets
• Six specialized kernels detect distinct price patterns: upward/downward momentum, peak/trough formations, consolidation, and breakout setups
• Activation functions create non-linear responses with tanh-like behavior, mimicking neural network layers
• Adaptive weighting system adjusts pattern importance based on current market regime (volatility < 2% and trend strength)
• Multi-confirmation signals require CNN threshold breach (±0.65), RSI boundaries, and volume confirmation above 120% of 20-period average
🔧 FEATURES
Six-Kernel Pattern Detection:
Simultaneous analysis of upward momentum, downward momentum, peak/resistance, trough/support, consolidation, and breakout patterns using mathematically optimized convolution kernels.
Adaptive Neural Architecture:
Dynamic weight adjustment based on market volatility (ATR/Price) and trend strength (EMA differential), ensuring optimal performance across different market conditions.
Professional Visual Themes:
Four sophisticated color palettes (Professional, Ocean, Sunset, Monochrome) with cohesive design language. Default Monochrome theme provides clean, distraction-free analysis.
Confidence Band System:
Upper and lower confidence zones at 150% of threshold values (±0.975) help identify high-probability signal areas and potential exhaustion zones.
Real-Time Information Panel:
Live display of CNN score, market state with emoji indicators, net momentum, confidence percentage, and RSI confirmation with dynamic color coding based on signal strength.
Individual Feature Analysis:
Optional display of all six kernel outputs with distinct visual styles (step lines, circles, crosses, area fills) for advanced pattern component analysis.
User Guide
• Monitor CNN Score crossing above +0.65 for long signals or below -0.65 for short signals with volume confirmation
• Use confidence bands to identify optimal entry zones - signals within confidence bands carry higher probability
• Background intensity reflects signal strength - darker backgrounds indicate stronger conviction
• Enter long positions when blue circles appear above oscillator with RSI < 75 and volume > 120% average
• Enter short positions when dark circles appear below oscillator with RSI > 25 and volume confirmation
• Information panel provides real-time confidence percentage and momentum direction for position sizing decisions
• Individual feature plots allow granular analysis of specific pattern components for strategy refinement
💡Conclusion
CNN Statistical Trading System represents the evolution of technical analysis, combining institutional-grade pattern recognition with retail accessibility. The six-kernel architecture provides comprehensive market pattern coverage while adaptive weighting ensures relevance across all market conditions. Whether you’re seeking systematic entry signals or advanced pattern confirmation, this indicator delivers mathematically rigorous analysis with intuitive visual presentation.
