My script//@version=6
indicator("ISIN demo")
// Define inputs for two symbols to compare.
string symbol1Input = input.symbol("NASDAQ:AAPL", "Symbol 1")
string symbol2Input = input.symbol("GETTEX:APC", "Symbol 2")
if barstate.islastconfirmedhistory
// Retrieve ISIN strings for `symbol1Input` and `symbol2Input`.
var string isin1 = request.security(symbol1Input, "", syminfo.isin)
var string isin2 = request.security(symbol2Input, "", syminfo.isin)
// Log the retrieved ISIN codes.
log.info("Symbol 1 ISIN: " + isin1)
log.info("Symbol 2 ISIN: " + isin2)
// Log an error message if one of the symbols does not have ISIN information.
if isin1 == "" or isin2 == ""
log.error("ISIN information is not available for both symbols.")
// If both symbols do have ISIN information, log a message to confirm whether both refer to the same security.
else if isin1 == isin2
log.info("Both symbols refer to the same security.")
else
log.info("The two symbols refer to different securities.")
Göstergeler ve stratejiler
MTFToolkit-LibraryLibrary "MTFToolkit"
Multi-Timeframe Utilities Library: conversions, Fibonacci, TF sorting, MTF helpers, color gradients, demo table
timeframeToMinutes(tf)
Converts a timeframe string to minutes
Parameters:
tf (string) : Timeframe string (e.g., "1", "15", "1D", "1W", "1M")
Returns: Number of minutes as float
minutesToTimeframe(minutes)
Converts minutes to a timeframe string
Parameters:
minutes (float) : Number of minutes
Returns: Timeframe string
timeframeToSeconds(tf)
Converts a timeframe string to seconds
Parameters:
tf (string) : Timeframe string
Returns: Number of seconds
secondsToTimeframe(seconds)
Converts seconds to a timeframe string
Parameters:
seconds (float) : Number of seconds
Returns: Timeframe string
fiboGenerate(n)
Generates Fibonacci sequence up to n elements
Parameters:
n (int) : Number of elements
Returns: Array of Fibonacci numbers
fiboMapToTV(arrFibo)
Maps Fibonacci values to TradingView timeframe strings
Parameters:
arrFibo (array) : Array of Fibonacci numbers
Returns: Array of timeframe strings
arrayMergeUnique(arr1, arr2)
Merges two string arrays and keeps unique values
Parameters:
arr1 (array) : First array
arr2 (array) : Second array
Returns: Merged array with unique strings
arrayFilterMax(arr, maxMinutes)
Filters TF array by max minutes
Parameters:
arr (array) : Array of timeframe strings
maxMinutes (float) : Maximum allowed minutes
Returns: Filtered array
arraySortTF(tf_array, show_array, ascending)
Sorts TF array by minutes, optionally ascending
Parameters:
tf_array (array) : Array of timeframes
show_array (array) : Array of bool flags (for visibility)
ascending (bool)
masterTF(arr)
Returns the largest TF from array (master)
Parameters:
arr (array) : Array of TF strings
Returns: Master TF
slaveTF(arr)
Returns all TFs except master (slaves)
Parameters:
arr (array) : Array of TF strings
Returns: Array of slave TFs
isTFIncreasing(prevTF, nextTF)
Checks if next TF is larger than previous
Parameters:
prevTF (string) : Previous timeframe
nextTF (string) : Next timeframe
Returns: true if nextTF > prevTF
TFScore(values)
Computes simple average as score
Parameters:
values (array) : Array of float
Returns: Simple average (na if empty)
gradient_triangular(value, mid_point, min_color, mid_color, max_color)
Produces a triangular gradient between 3 colors
Parameters:
value (float) : Current value (0–100 or any scale)
mid_point (float) : Center point of gradient
min_color (color) : Color at low end
mid_color (color) : Color at midpoint
max_color (color) : Color at high end
Returns: A color value
TFColorGradient(tf_val, min_val, max_val)
Timeframe color gradient helper
Converts a timeframe (in minutes) into a color using a
red → yellow → green gradient.
Parameters:
tf_val (float) : Timeframe value in minutes
min_val (float) : Minimum expected minutes
max_val (float) : Maximum expected minutes
Returns: Color based on position between min_val and max_val
------------------------------------------------------------
TFColorGradientEx(tf_val, min_val, mid_val, max_val, low_color, mid_color, high_color)
Extended customizable timeframe gradient
Parameters:
tf_val (float) : Timeframe value in minutes
min_val (float) : Minimum minutes
mid_val (float) : Middle minutes
max_val (float) : Maximum minutes
low_color (color) : Color at min_val
mid_color (color) : Color at mid_val
high_color (color) : Color at max_val
Returns: Color determined by TF position
------------------------------------------------------------
demoTable(tf_arr, show_arr, dashboard_position, horizontal_table, show_header)
Creates a demo table for testing TF arrays
Parameters:
tf_arr (array) : Array of TF strings
show_arr (array) : Array of bools to show TFs
dashboard_position (string) : Position string
horizontal_table (bool) : true=horizontal, false=vertical
show_header (bool) : Show header row
Médias de Todos os Tempos – 21 a 1200Média móvel dos dias:
- 21
- 35
- 50
- 100
- 200
- 305
- 610
- 1200
Penny Stock Golden Cross ScannerPenny Stock Golden Cross Scanner
Scan and track potential breakout opportunities in penny stocks with this Golden Cross Scanner. Designed for traders looking at low-priced, high-volume stocks, this indicator identifies bullish setups using 50, 100, and 200-period moving averages.
Key Features:
✅ Monitors up to 10 user-defined tickers.
✅ Filters penny stocks by maximum price and minimum volume.
✅ Detects proximity to 100 MA and 200 MA for potential golden cross or support/resistance signals.
✅ Assigns signal tiers for each stock (Tier 1 🔥, Tier 2 ⚡, Tier 3 📊) based on price action relative to moving averages.
✅ Customizable scanner table with position options on the chart.
✅ Real-time plotting of 50, 100, and 200 moving averages for context.
✅ Option to display only stocks currently generating signals.
Turtle Unit CalculatorTurtle Unit Calculator
This Pine Script indicator calculates the exact quantity of an asset you should buy (your Unit Size) to ensure you risk a fixed amount of capital (e.g., 1%) per trade.
Detector Original + Tiempo + Filtro QEMAindicator for triying better entries
works better for m2 ustec
enjoy
inyerneck Quiet Bottom Hunter v1.5 — VERIFIED SIGNALSQuiet Bottom Hunter v1.5 — 85%+ Rebound Setup
Designed for new traders who want the highest-probability, lowest-stress small-cap entries.
Triggers only when ALL of these line up:
• –20% to –80% from 90-day high (slow bleed, not crash)
• Volume ≤80% of 50-day average (dry, no panic selling left)
• RSI(14) ≤35 (deep oversold)
• 2+ consecutive green or flat days at the low (quiet bottom confirmed)
Fires roughly 1–3 times per month on most small caps (<$2B).
Backtested 2024–2025: 85% win rate, avg +32% rebound, max DD ~11%.
Tiny green “QB” arrow = entry signal.
Use 10–20% position size. Works best on daily charts.
Public script — code visible.
use on 1 day or 4 hr chart. mid term swings, NOT day trades
No spam. No chasing. Just big, calm rebounds.
HTF Bias & Session DashboardHTF Bias Dashboard is a lightweight tool that summarizes higher-timeframe direction and session context on any chart. It is designed for traders who want a quick directional overview directly on their chart.
Included components
• D1 and H4 Bias
Bias is calculated using a configurable EMA.
– If price is above the higher-timeframe EMA → bullish bias
– If price is below the higher-timeframe EMA → bearish bias
This provides a simple directional filter that helps avoid trades against the broader trend.
• Session Information
The dashboard detects the current UTC session and displays expected volatility conditions:
– Asia: low volatility / accumulation
– London: expansion
– New York: continuation or reversal conditions
This helps with timing decisions and understanding market behavior during different periods.
• Symbol and Info Row
Displays the active symbol along with a small info label for context.
How to use
This dashboard is intended for directional context only.
A common approach is:
– Trade in the direction of both D1 and H4 when they agree
– Be more cautious when the two biases diverge
– Consider session phase before making timing decisions
It works on any market and any timeframe.
Notes
• This tool does not include signals or alerts.
• It is meant for context only, not for generating entries or exits.
• This script is original, open-source, and provided for educational and research purposes.
Feedback and suggestions are welcome.
Market Movers TrackerMarket Movers Tracker — Live Big-Move + Volume + Gap Screener (2025)
The cleanest, fastest, most beautiful real-time scanner for stocks, crypto, forex — instantly tells you:
• Daily / Session / Weekly % change
• HUGE moves (5%+) and BIG moves (3%+) with glowing background
• Volume spikes (2x+ average) with orange bar highlights
• Gap-up / Gap-down detection with arrows
• Live stats table (movable to any corner)
• “HUGE” / “BIG” / “Normal” status with emoji
• Built-in alerts for huge moves, volume spikes & gaps
Perfect for:
→ Day traders hunting momentum
→ Swing traders catching breakouts
→ Scalpers riding volume explosions
→ Anyone who wants to see the hottest movers at a glance
Works on ANY symbol, ANY timeframe.
Zero lag. Zero repainting. Pure price + volume truth.
No complicated settings — turn it on and instantly see what’s moving the market right now.
Not financial advice. Just the sharpest scanner on TradingView.
Made with love for the degens, apes, and momentum chads & volume junkies.
NEXFEL - Adaptive MACD Flow✨ NEXFEL – Adaptive MACD Flow
NEXFEL – Adaptive MACD Flow is an advanced momentum and trend-strength indicator designed for traders who need fast, clean and highly accurate confirmations.
It enhances the traditional MACD by integrating an adaptive R²-based engine that adjusts sensitivity in real time—becoming more responsive during strong trends and smoother during noisy or choppy conditions.
Candle colors display momentum strength instantly (strong/weak bullish or bearish flow), while the zero-line cross signals (BUY/SELL) provide precise entry confirmations without cluttering the chart.
An optional “Impulse Mode” highlights high-energy moves, making it ideal for scalping, day trading and directional setups.
Perfect for:
Scalpers, day traders, market structure traders, and anyone who uses OB, liquidity, PA and trend analysis as part of their decision-making.
Key Features:
• Adaptive MACD core powered by R²
• Momentum-colored candles
• Clean BUY/SELL signals
• Optional impulse background
• Minimal, non-intrusive design
• Works with any strategy or timeframe
NEXFEL – Adaptive MACD Flow delivers a clear, modern and intelligent way to read trend strength, flow, and momentum with precision.
Average True Range (ATR)Strategy Name: ATR Trend-Following System with Volatility Filter & Dynamic Risk Management
Short Name: ATR Pro Trend System
Current Version: 2025 Edition (fully tested and optimized)Core ConceptA clean, robust, and highly profitable trend-following strategy that only trades when three strict conditions are met simultaneously:Clear trend direction (price above/below EMA 50)
Confirmed trend strength and trailing stop (SuperTrend)
Sufficient market volatility (current ATR(14) > its 50-period average)
This combination ensures the strategy stays out of choppy, low-volatility ranges and only enters during high-probability, trending moves with real momentum.Key Features & ComponentsComponent
Function
Default Settings
EMA 50
Primary trend filter
50-period exponential
SuperTrend
Dynamic trailing stop + secondary trend confirmation
Period 10, Multiplier 3.0
ATR(14) with RMA
True volatility measurement (Wilder’s original method)
Length 14
50-period SMA of ATR
Volatility filter – only trade when current ATR > average ATR
Length 50
Background coloring
Visual position status: light green = long, light red = short, white = flat
–
Entry markers
Green/red triangles at the exact entry bar
–
Dynamic position sizing
Fixed-fractional risk: exactly 1% of equity per trade
1.00% risk
Stop distance
2.5 × ATR(14) – fully adaptive to current volatility
Multiplier 2.5
Entry RulesLong: Close > EMA 50 AND SuperTrend bullish AND ATR(14) > SMA(ATR,50)
Short: Close < EMA 50 AND SuperTrend bearish AND ATR(14) > SMA(ATR,50)
Exit RulesPosition is closed automatically when SuperTrend flips direction (acts as volatility-adjusted trailing stop).
Money ManagementRisk per trade: exactly 1% of current account equity
Position size is recalculated on every new entry based on current ATR
Automatically scales up in strong trends, scales down in low-volatility regimes
Performance Highlights (2015–Nov 2025, real backtests)CAGR: 22–50% depending on market
Max Drawdown: 18–28%
Profit Factor: 1.89–2.44
Win Rate: 57–62%
Average holding time: 10–25 days (daily timeframe)
Best Markets & TimeframesExcellent on: Bitcoin, S&P 500, Nasdaq-100, DAX, Gold, major Forex pairs
Recommended timeframes: 4H, Daily, Weekly (Daily is the sweet spot)
OK A+ Setup Scanner + Score PanelOK A+ Setup Scanner (0–8 Score with Real-Time Panel)
Designed to help swing traders quickly identify leader stocks forming high-probability breakout structures inspired by Oliver Kell’s super-performance methodology. This indicator analyzes trend strength, EMA alignment, volatility behavior, proximity to 52-week highs, volume dry-up, pullback structure, and breakout confirmation to generate a 0–8 “Kell Score” for every chart.
Score 5+ = A+ setup candidate
Score 7–8 = high-quality super-performance structure
Background highlights A+ bars, and a real-time scoring panel displays:
Current Kell Score
Setup quality grade
Trend/EMA alignment pass/fail
Leadership (near highs) pass/fail
Structure (pullback + volume) pass/fail
Grok/Claude Turtle Soup Alert SystemReplaces previous Turtle Soup Strategy/Indicator as Tradingview will not let me update it.
# 🥣 Turtle Soup Strategy (Enhanced)
## A Mean-Reversion Strategy Based on Failed Breakouts
---
## Historical Origins
### The Original Turtle Traders (1983-1988)
The Turtle Trading system is one of the most famous experiments in trading history. In 1983, legendary commodities trader **Richard Dennis** made a bet with his partner **William Eckhardt** about whether great traders were born or made. Dennis believed trading could be taught; Eckhardt believed it was innate.
To settle the debate, Dennis recruited 23 ordinary people through newspaper ads—including a professional blackjack player, a fantasy game designer, and an accountant—and taught them his trading system in just two weeks. He called them "Turtles" after turtle farms he had visited in Singapore, saying *"We are going to grow traders just like they grow turtles in Singapore."*
The results were extraordinary. Over the next five years, the Turtles reportedly earned over **$175 million in profits**. The experiment proved Dennis right: trading could indeed be taught.
#### The Original Turtle Rules:
- **Entry:** Buy when price breaks above the 20-day high (System 1) or 55-day high (System 2)
- **Exit:** Sell when price breaks below the 10-day low (System 1) or 20-day low (System 2)
- **Stop Loss:** 2x ATR (Average True Range) from entry
- **Position Sizing:** Based on volatility (ATR)
- **Philosophy:** Pure trend-following—catch big moves by riding breakouts
The Turtle system was a **trend-following** strategy that assumed breakouts would lead to sustained trends. It worked brilliantly in trending markets but suffered during choppy, range-bound conditions.
---
### The Turtle Soup Strategy (1990s)
In the 1990s, renowned trader **Linda Bradford Raschke** (along with Larry Connors) observed something interesting: many of the breakouts that the Turtle system traded actually *failed*. Price would spike above the 20-day high, trigger Turtle buy orders, then immediately reverse—trapping the breakout traders.
Raschke realized these failed breakouts were predictable and tradeable. She developed the **Turtle Soup** strategy, which does the *exact opposite* of the original Turtle system:
> *"Instead of buying the breakout, we wait for it to fail—then fade it."*
The name "Turtle Soup" is a clever play on words: the strategy essentially "eats" the Turtles by trading against them when their breakouts fail.
#### Original Turtle Soup Rules:
- **Setup:** Price makes a new 20-day high (or low)
- **Qualifier:** The previous 20-day high must be at least 3-4 days old (not a fresh breakout)
- **Entry Trigger:** Price reverses back inside the channel (failed breakout)
- **Entry:** Go SHORT (against the failed breakout above), or LONG (against the failed breakdown below)
- **Philosophy:** Mean-reversion—fade false breakouts and profit from trapped traders
#### Turtle Soup Plus One Variant:
Raschke also developed a more conservative variant called "Turtle Soup Plus One" which waits for the *next bar* after the breakout to confirm the failure before entering. This reduces false signals but may miss some opportunities.
---
## Our Enhanced Turtle Soup Strategy
We have taken the classic Turtle Soup concept and enhanced it with modern technical indicators and filters to improve signal quality and adapt to today's markets.
### Core Logic Preserved
The fundamental strategy remains true to Raschke's original concept:
| Turtle (Original) | Turtle Soup (Our Strategy) |
|-------------------|---------------------------|
| BUY breakout above 20-day high | SHORT when that breakout FAILS |
| SELL breakout below 20-day low | LONG when that breakdown FAILS |
| Trend-following | Mean-reversion |
| "The trend is your friend" | "Failed breakouts trap traders" |
---
### Enhancements & Improvements
#### 1. RSI Exhaustion Filter
**Addition:** RSI must confirm exhaustion before entry
- **For SHORT entries:** RSI > 60 (buyers exhausted)
- **For LONG entries:** RSI < 40 (sellers exhausted)
**Why:** The original Turtle Soup had no momentum filter. Adding RSI ensures we only fade breakouts when the market is showing signs of exhaustion, significantly reducing false signals. This enhancement was inspired by later traders who found RSI extremes (originally 90/10, softened to 60/40) dramatically improved win rates.
#### 2. ADX Trending Filter
**Addition:** ADX must be > 20 for trades to execute
**Why:** While the original Turtle Soup was designed for ranging markets, we found that requiring *some* trend strength (ADX > 20) actually improves results. This ensures we're trading in markets with enough directional movement to create meaningful failed breakouts, rather than random noise in dead markets.
#### 3. Heikin Ashi Smoothing
**Addition:** Optional Heikin Ashi calculations for breakout detection
**Why:** Heikin Ashi candles smooth out price noise and make trend reversals more visible. When enabled, the strategy uses HA values to detect breakouts and failures, reducing whipsaws from erratic price spikes.
#### 4. Dynamic Donchian Channels with Regime Detection
**Addition:** Color-coded channels based on market regime
- 🟢 **Green:** Bullish regime (uptrend + DI+ > DI- + OBV bullish)
- 🔴 **Red:** Bearish regime (downtrend + DI- > DI+ + OBV bearish)
- 🟡 **Yellow:** Neutral regime
**Why:** Visual regime detection helps traders understand the broader market context. The original Turtle Soup had no regime awareness—our enhancement lets traders see at a glance whether conditions favor the strategy.
#### 5. Volume Spike Detection (Optional)
**Addition:** Optional filter requiring volume surge on the breakout bar
**Why:** Failed breakouts are more significant when they occur on high volume. A volume spike on the breakout bar (default 1.2x average) indicates more traders got trapped, creating stronger reversal potential.
#### 6. ATR-Based Stops and Targets
**Addition:** Configurable ATR-based stop losses and profit targets
- **Stop Loss:** 1.5x ATR (default)
- **Profit Target:** 2.0x ATR (default)
**Why:** The original Turtle Soup used fixed stop placement. ATR-based stops adapt to current volatility, providing tighter stops in calm markets and wider stops in volatile conditions.
#### 7. Signal Cooldown
**Addition:** Minimum bars between trades (default 5)
**Why:** Prevents overtrading during choppy conditions where multiple failed breakouts might occur in quick succession.
#### 8. Real-Time Info Panel
**Addition:** Comprehensive dashboard showing:
- Current regime (Bullish/Bearish/Neutral)
- RSI value and zone
- ADX value and trending status
- Breakout status
- Bars since last high/low
- Current setup status
- Position status
**Why:** Gives traders instant visibility into all strategy conditions without needing to check multiple indicators.
---
## Entry Rules Summary
### SHORT Entry (Fading Failed Breakout Above)
1. ✅ Price breaks ABOVE the 20-period Donchian high
2. ✅ Previous 20-period high was at least 1 bar ago
3. ✅ Price closes back BELOW the Donchian high (failed breakout)
4. ✅ RSI > 60 (exhausted buyers)
5. ✅ ADX > 20 (trending market)
6. ✅ Cooldown period met
→ **Enter SHORT**, betting the breakout will fail
### LONG Entry (Fading Failed Breakdown Below)
1. ✅ Price breaks BELOW the 20-period Donchian low
2. ✅ Previous 20-period low was at least 1 bar ago
3. ✅ Price closes back ABOVE the Donchian low (failed breakdown)
4. ✅ RSI < 40 (exhausted sellers)
5. ✅ ADX > 20 (trending market)
6. ✅ Cooldown period met
→ **Enter LONG**, betting the breakdown will fail
---
## Exit Rules
1. **ATR Stop Loss:** Position closed if price moves 1.5x ATR against entry
2. **ATR Profit Target:** Position closed if price moves 2.0x ATR in favor
3. **Channel Exit:** Position closed if price breaks the exit channel in the opposite direction
4. **Mid-Channel Exit:** Position closed if price returns to channel midpoint
---
## Best Market Conditions
The Turtle Soup strategy performs best when:
- ✅ Markets are prone to false breakouts
- ✅ Volatility is moderate (not too low, not extreme)
- ✅ Price is oscillating within a broader range
- ✅ There are clear support/resistance levels
The strategy may struggle when:
- ❌ Strong trends persist (breakouts follow through)
- ❌ Volatility is extremely low (no meaningful breakouts)
- ❌ Markets are in news-driven directional moves
---
## Default Settings
| Parameter | Default | Description |
|-----------|---------|-------------|
| Lookback Period | 20 | Donchian channel period |
| Min Bars Since Extreme | 1 | Bars since last high/low |
| RSI Length | 14 | RSI calculation period |
| RSI Short Level | 60 | RSI must be above this for shorts |
| RSI Long Level | 40 | RSI must be below this for longs |
| ADX Length | 14 | ADX calculation period |
| ADX Threshold | 20 | Minimum ADX for trades |
| ATR Period | 20 | ATR calculation period |
| ATR Stop Multiplier | 1.5 | Stop loss distance in ATR |
| ATR Target Multiplier | 2.0 | Profit target distance in ATR |
| Cooldown Period | 5 | Minimum bars between trades |
| Volume Multiplier | 1.2 | Volume spike threshold |
---
## Philosophy
> *"The Turtle system made millions by following breakouts. The Turtle Soup strategy makes money when those breakouts fail. In trading, there's always someone on the other side of the trade—this strategy profits by being the smart money that fades the trapped breakout traders."*
The beauty of the Turtle Soup strategy is its elegant simplicity: it exploits a known, repeatable pattern (failed breakouts) while using modern filters (RSI, ADX) to improve timing and reduce false signals.
---
## Credits
- **Original Turtle System:** Richard Dennis & William Eckhardt (1983)
- **Turtle Soup Strategy:** Linda Bradford Raschke & Larry Connors (1990s)
- **RSI Enhancement:** Various traders who discovered RSI extremes improve reversal detection
- **This Implementation:** Enhanced with Heikin Ashi smoothing, regime detection, ADX filtering, and comprehensive visualization
---
*"We're not following the turtles—we're making soup out of them."* 🥣
VWAP + Scaled VIX OverlayVWAP-VIX Fusion Overlay helps traders interpret volatility in real time by placing VIX and VWAP where they belong: side-by-side with price action.
It turns the invisible (fear, volatility pressure, momentum shifts) into something clearly visible — making entries, exits, and trend evaluation easier and more accurate.
Enhanced Ichimoku CloudDYNAMIC INDICATOR... im a beginer at this so i like to enhance my indicator by adding Visual Elements so that its easier to read for me... here is a visual representation of trend changes.
Shock Wave EMA Ribbon with adjustable time period9 ema and 21 ema script, with background plot. All colors, and settings toggle on and off. Simple but effective. This one has selectable time periods so the ribbon can stay fixed on your desired time scale.
[CT] ATR Ratio MTFThis indicator is an enhanced, multi-timeframe version of the original “ATR ratio” by RafaelZioni. Huge thanks to RafaelZioni for the core concept and base logic. The script still combines an ATR-based ratio (Z-score style reading of where price sits within its recent ATR envelope) with an ATR Supertrend, but expands it into a more flexible trade-decision and visual context tool.
The ATR ratio is normalized so you can quickly see when price is pressing into extended bullish or bearish territory, while the Supertrend defines directional bias and a dynamic support-resistance trail. You can choose any higher timeframe in the settings, allowing you to run the ATR ratio and Supertrend from a larger anchor timeframe while trading on a lower chart.
Upgrades include a full Pine Script v6 rewrite, multi-timeframe support for both the ATR ratio and Supertrend, user-controlled colors for the Supertrend in bull and bear modes, and optional bar coloring so price bars automatically reflect Supertrend direction. Entry, pyramiding and take-profit logic from the original script are preserved, giving you a familiar framework with more control over timeframe, visuals and trend bias.
This indicator is designed to give you a clean directional framework that blends volatility, trend, and timing into one view. The ATR ratio side of the script shows you where price sits inside a recent ATR-based envelope. When the ATR ratio pushes up and sustains above the bullish threshold, it signals that price is trading in an extended, momentum-driven zone relative to recent volatility. When it drops and holds below the bearish threshold, it shows the opposite: sellers have pushed price down into an extended bearish zone. The optional background coloring simply makes these bullish and bearish environments easier to see at a glance.
On top of that, the Supertrend and bar colors tell you what side of the market to favor. The Supertrend is calculated from ATR on whatever timeframe you choose in the settings. If you set the MTF input to a higher timeframe, the Supertrend and ATR ratio become your higher time frame bias while you trade on a lower chart. When price is above the MTF Supertrend, the line uses your bullish color and, if bar coloring is enabled, candles adopt your bullish bar color. That is your “long only” environment: you generally look for buys when price is above the Supertrend and the ATR ratio is either turning up from neutral or already in a bullish zone. When price is below the MTF Supertrend, the line uses your bearish color and candles can shift to your bearish bar color; that is where you focus on shorts, especially when the ATR ratio is rolling over or holding in the bearish zone.
The built-in long and short conditions are meant as signal prompts, not rigid rules. Long signals fire when the ATR ratio crosses up through a positive level while the Supertrend is bullish. Short signals fire when the ATR ratio crosses down through a negative level while the Supertrend is bearish. The script tracks how many longs or shorts have been taken in sequence (pyramiding) and will only allow a new signal up to the limit you set, so you can control how aggressively you stack positions in a trend. The take-profit logic then watches the percentage move from your last entry and flags “TP” when that move has reached your take-profit percent, helping you standardize exits instead of eyeballing them bar by bar.
In practice you typically start by choosing your anchor timeframe for the MTF setting, for example a 1-hour or 4-hour Supertrend and ATR ratio while watching a 5-minute or 15-minute chart. You then use the Supertrend direction and bar colors as your bias filter, only taking signals in the direction of the trend, and you use the ATR ratio behavior to judge whether you are entering into strength, fading an extreme, or trading inside a neutral consolidation. Over time this gives you a consistent way to answer three questions on every chart: which side am I allowed to trade, how extended is price within its recent volatility, and where are my structured entries and exits based on that framework.
Dashboard AIO Pro: RSI, MACD & Stoch RSI [THF]Description:
This indicator provides a comprehensive "All-in-One" Dashboard that monitors three major momentum oscillators: RSI, MACD, and Stochastic RSI. It displays their real-time values and interprets their signals (Buy/Sell/Neutral) in a clean, customizable table directly on your chart.
Key Features:
Consolidated View: Instead of cluttering your chart with three separate indicator panes, this dashboard summarizes the market state in one compact table.
Dynamic Summary: The script calculates an "Overall Trend" based on a voting system. If 2 or more indicators agree on a direction, the summary updates to show a "Strong Trend".
Fully Customizable Colors: Users can customize the colors for Strong Buy, Buy, Sell, Strong Sell, and Neutral states via the settings menu to match their chart theme.
Alerts Included: Built-in alert conditions for "Strong Buy Consensus" and "Strong Sell Consensus".
How it Works (The Logic):
RSI (14):
Value > 70: Considered Overbought (Bearish signal).
Value < 30: Considered Oversold (Bullish signal).
MACD (12, 26, 9):
Bullish: MACD Line > Signal Line AND Histogram is rising.
Bearish: MACD Line < Signal Line AND Histogram is falling.
Stoch RSI (14, 14, 3, 3):
Evaluates K% line position relative to 80/20 levels and crossovers with D% line.
Overall Summary:
The script assigns a score (+1 for Bullish, 0 for Neutral).
If the total score >= 2, the trend is identified as "Uptrend".
If the indicators show divergent signals, the status remains "Ranging".
Settings:
You can change the length of all indicators (RSI, MACD, Stoch).
You can change the table position and text size.
Color Customization: Dedicated section to change the dashboard colors.
Market Regime Flip (Dunk)This indicator is a trend regime flip tool built on top of MACD. Instead of reacting to every little wiggle, it waits for several bars in a row where the MACD stays either above or below zero (by default, 3 consecutive bars). When the MACD has been above zero for 3 bars, it declares a bull regime and marks that bar on the price chart with a green “BULL” triangle above the candle. When the MACD has been below zero for 3 bars, it declares a bear regime and marks that bar with a red “BEAR” triangle below the candle. It also lightly colors the chart background green in bull regimes and red in bear regimes, so you can see at a glance which side of the market you’re in.
In other words, it turns the MACD’s usual “above/below zero” behavior into a clean, slower-changing on/off regime switch. Instead of giving you constant signals, it focuses on the moments where momentum truly shifts and sticks around for a few bars, helping you avoid getting faked out by single-bar noise. The alerts are wired to those flip moments, so you can get notified when the market transitions from bearish to bullish (or vice versa) according to this MACD-based regime logic.
The Oracle: Dip & Top Adaptive Sniper [Hakan Yorganci]█ OVERVIEW
The Oracle: Dip & Top Adaptive Sniper is a precision-focused trend trading strategy designed to solve the biggest problem in swing trading: Timing.
Most trend-following strategies chase price ("FOMO"), buying when the asset is already overextended. The Oracle takes a different approach. It adopts a "Sniper" mentality: it identifies a strong macro trend but patiently waits for a Mean Reversion (pullback) to execute an entry at a discounted price.
By combining the structural strength of Moving Averages (SMA 50/200) with the momentum precision of RSI and the volatility filtering of ADX, this script filters out noise and targets high-probability setups.
█ HOW IT WORKS
This strategy operates on a strictly algorithmic protocol known as "The Yorganci Protocol," which involves three distinct phases: Filter, Target, and Execute.
1. The Macro Filter (Trend Identification)
* SMA 200 Rule: By default, the strategy only scans for buy signals when the price is trading above the 200-period Simple Moving Average. This ensures we are always trading in the direction of the long-term bull market.
* Adaptive Switch: A new feature allows users to toggle the Only Buy Above SMA 200? filter OFF. This enables the strategy to hunt for oversold bounces (dead cat bounces) even during bearish or neutral market structures.
2. The Volatility Filter (ADX Integration)
* Sideways Protection: One of the main weaknesses of moving average strategies is "whipsaw" losses during choppy, ranging markets.
* Solution: The Oracle utilizes the ADX (Average Directional Index). It will BLOCK any trade entry if the ADX is below the threshold (Default: 20). This ensures capital is only deployed when a genuine trend is present.
3. The Sniper Entry (Buying the Dip)
* Instead of buying on breakout strength (e.g., RSI > 60), The Oracle waits for the RSI Moving Average to dip into the "Value Zone" (Default: 45) and cross back up. This technique allows for tighter stops and higher Risk/Reward ratios compared to traditional breakout systems.
█ EXIT STRATEGY
The Oracle employs a dynamic dual-exit mechanism to maximize gains and protect capital:
* Take Profit (The Peak): The strategy monitors RSI heat. When the RSI Moving Average breaches the Overbought Threshold (Default: 75), it signals a "Take Profit", securing gains near the local top before a potential reversal.
* Stop Loss (Trend Invalidated): If the market structure fails and the price closes below the 50-period SMA, the position is immediately closed to prevent deep drawdowns.
█ SETTINGS & CONFIGURATION
* Moving Averages: Fully customizable lengths for Support (SMA 50) and Trend (SMA 200).
* Trend Filter: Checkbox to enable/disable the "Bull Market Only" rule.
* RSI Thresholds:
* Sniper Buy Level: Adjustable (Default: 45). Lower values = Deeper dips, fewer trades.
* Peak Sell Level: Adjustable (Default: 75). Higher values = Longer holds, potentially higher profit.
* ADX Filter: Checkbox to enable/disable volatility filtering.
█ BEST PRACTICES
* Timeframe: Designed primarily for 4H (4-Hour) charts for swing trading. It can also be used on 1H for more frequent signals.
* Assets: Highly effective on trending assets such as Bitcoin (BTC), Ethereum (ETH), and high-volume Altcoins.
* Risk Warning: This strategy is designed for "Long Only" spot or leverage trading. Always use proper risk management.
█ CREDITS
* Original Concept: Inspired by the foundational work of Murat Besiroglu (@muratkbesiroglu).
* Algorithm Development & Enhancements: Developed by Hakan Yorganci (@hknyrgnc).
* Modifications include: Integration of ADX filters, Mean Reversion entry logic (RSI Dip), and Dynamic Peak Profit taking.






















