MA 21-9 -sinerjiportfoyMA Sinerjiportfoy Versiyon.
It is aimed to reach more sensitive results by changing the settings in MA. You can test it by trying
Moving Avarage 21 and 9
Indicators and strategies
Stoch. Weekly sinerjiportfoyStochastic Weekly Sinerjiportfoy Versiyon.
It is aimed to reach more sensitive results by changing the settings in STOCHASTIC WEEKLY. You can test it by trying
On the graphic You need choose Weekly Period
Stoch Quad Oscillator📘 Stoch Quad Oscillator – User Guide
✅ Purpose
The Stoch Quad Oscillator is a multi-timeframe stochastic oscillator tool that helps traders detect oversold and overbought conditions, momentum shifts, and quad rotation signals using four distinct stochastic configurations. It includes visual cues, customizable parameters, and background highlights to improve decision-making during trend reversals or momentum surges.
🛠️ Inputs & Parameters
⏱ Timeframe
Timeframe for Stochastic Calculation: Defines which chart timeframe to use for stochastic calculations (default is "1" minute). This enables multi-timeframe analysis while on a lower timeframe chart.
📈 Stochastic Parameters
Four different stochastic configurations are used:
Label %K Length %D Smoothing Notes
K9 D3 9 3 Fastest, short-term view
K14 D3 14 3 Moderately short-term
K40 D4 40 4 Medium-term trend view
K60 D10 60 10 Long-term strength
Smoothing Type: Choose between SMA or EMA to control how smoothed the %D line is.
🎯 Levels
Overbought Level: Default 80
Oversold Level: Default 20
These are used to indicate overextended price conditions on any of the stochastic plots.
🔄 Quad Rotation Detection Settings
When enabled, the script detects synchronized oversold/overbought conditions with strong momentum using all 4 stochastic readings.
Enable Quad Rotation: Toggles detection on or off
Slope Calculation Bars: Number of bars used to calculate slope of %D lines
Slope Threshold: Minimum slope strength for signal (higher = stronger confirmation)
Oversold Quad Level: Total of all four stochastic values that define a quad oversold zone
Overbought Quad Level: Total of all four stochastic values that define a quad overbought zone
Oversold Quad Highlight Color: Background color when oversold quad is triggered
Overbought Quad Highlight Color: Background color when overbought quad is triggered
Slope Averaging Method: Either Simple Average or Weighted Average (puts more weight on higher timeframes)
Max Signal Bar Window: Defines how recent the signal must be to be considered valid
📊 Plots & Visual Elements
📉 Stochastic %D Lines
Each stochastic is plotted separately:
K9 D3 – Red
K14 D3 – Orange
K40 D4 – Fuchsia
K60 D10 – Silver
These help visualize short to long-term momentum simultaneously.
📏 Horizontal Reference Lines
Overbought Line (80) – Red
Oversold Line (20) – Green
These help you identify threshold breaches visually.
🌈 Background Highlighting
The indicator provides background highlights to mark potential signal zones:
✅ All Oversold or Overbought Conditions
When all four stochastics are either above overbought or below oversold:
Bright Red if all are overbought
Bright Green if all are oversold
🚨 Quad Rotation Signal Zones (if enabled)
Triggered when:
The combined sum of all four stochastic levels is extremely low/high (below/above oversoldQuadLevel or overboughtQuadLevel)
The average slope of the 4 %D lines is sharply positive (> slopeThreshold)
Highlights:
Custom Red Tint = Strong overbought quad signal
Custom Green Tint = Strong oversold quad signal
These zones can indicate momentum shifts or reversal potential when used with price action or other tools.
⚠️ Limitations & Considerations
This indicator does not provide trade signals. It visualizes conditions and potential setups.
It is best used in confluence with price action, support/resistance levels, and other indicators.
False positives may occur in ranging markets. Reduce reliance on slope thresholds during low volatility.
Quad signals rely on slope strength, which may lag slightly behind sudden reversals.
🧠 Tips for Use
Combine with volume, MACD, or PSAR to confirm direction before entry.
Watch for divergences between price and any of the stochastics.
Use on higher timeframes (e.g., 5m–30m) to filter for swing trading setups; use shorter TFs (1m–5m) for scalping signals.
Adjust oversoldQuadLevel and overboughtQuadLevel based on market conditions (e.g., in trending vs ranging markets).
Parkinson Volatility I
Volatility indicator based on the Parkinson formula, which uses the logarithmic range (high/low) to estimate price volatility. Includes optional smoothing and customizable settings.
NY Open Range Tracker with Customizable EMA Cloudmarks the 5min opening range, waits for a 5min candle to open/close outside of the opening range placing a stop on the wick and a tp 150ticks away (customizable)
A.K. Pro Signal DashboardA.K. Pro Signal Dashboard is a powerful all-in-one market intelligence tool designed for traders who demand clarity, speed, and confidence in every decision.
This open-source script delivers a fully customizable visual dashboard that consolidates multiple high-impact indicators into one clean panel — helping you quickly assess market direction, momentum, and volume dynamics.
🔍 Core Features:
✅ Multi-Timeframe Trend Scanner – Analyzes EMA-based trend across 5m, 15m, 30m, and 1h timeframes.
✅ Live Buy/Sell Pressure – Measures candle behavior to estimate short-term market bias.
✅ Daily Volume Split – Calculates intraday buy/sell dominance as a percentage of total volume.
✅ Integrated Indicators – RSI, MACD, ADX, VWAP, and Stochastic RSI provide a well-rounded market view.
✅ Buy/Sell Signal Engine – Smart signal logic based on trend alignment and momentum confirmation.
✅ Visual Dashboard Table – Adjustable font size and screen position for flexible display.
✅ Alerts Built In – Get notified instantly when bullish or bearish signals are triggered.
Whether you're scalping fast markets or swing trading clean setups, this dashboard equips you with the critical insights you need — all at a glance.
🧠 Built with Pine Script v6
⚙️ Fully open-source and designed to be extended or customized by any trader.
✨ By: @XAU_USD_TRADER
Filtered DTR Table📊 Filtered Daily True Range (DTR) Indicator
This indicator calculates and displays a filtered version of the Daily True Range (DTR) over the last 14 trading days, using high and low prices of each day.
It filters out extreme values by excluding any daily range that is:
Less than 0.5× the average range
Greater than 2× the average range
The indicator shows a table in the bottom-right corner of the main chart, containing:
Filtered ATR – The average of valid (filtered) daily ranges over the past 14 days, based on the high-low difference.
Current Day's Range – The high-low range of the current trading day.
% of ATR – How much of the filtered ATR has been covered by today's range, expressed as a whole number percentage.
Terils scriptcombined Indicator EMA, Yesterday High low. super trend, BB.
combined Indicator EMA, Yesterday High low. super trend, BB.
combined Indicator EMA, Yesterday High low. super trend, BB.
combined Indicator EMA, Yesterday High low. super trend, BB.
combined Indicator EMA, Yesterday High low. super trend, BB.
combined Indicator EMA, Yesterday High low. super trend, BB.
combined Indicator EMA, Yesterday High low. super trend, BB.
combined Indicator EMA, Yesterday High low. super trend, BB.
combined Indicator EMA, Yesterday High low. super trend, BB.
EMA ATR bandsDraws upper and lower bands N-ATR above and below the EMA of length of your choosing. Helpful for seeing if prices are running away from an average.
D/W Open [flasi]Vertical Session Lines:
Draws vertical lines at the start of each new trading session (default: 5 PM)
Sunday sessions appear with black/dark lines
Weekday sessions appear with white/light lines
Horizontal Price Lines (optional):
Can show horizontal lines at the opening prices
Sunday opens marked with dark lines
Weekday opens marked with light lines
Toggle on/off with "Show Horizontal Lines" input
MA COMBO 6-sinerjiportfoyMA COMBO6 Sinerjiportfoy Versiyon.
It is aimed to reach more sensitive results by changing the settings in MA COMBO6. You can test it by trying
200+100+50+21+9+5 Daily Avarage Line
CCIEMACCIEMA Sinerjiportfoy Versiyon.
It is aimed to reach more sensitive results by changing the settings in CCIEMA. You can test it by trying
It is together CCI+EMA
ORB-5Min with VWAP & EMAFirst 5-min ORB: Accurately captured from 09:15–09:20.
VWAP: Plotted live for the session, colored green.
EMA: Customizable period, plotted as a separate signal line.
Fill: Visual white fill between high and low range.
Forex Algo-Trade ~ Ano_Jokamp354Forex Algo-Trade ~ Ano_Jokamp354
is a tool designed to assist traders around the world in analyzing the foreign exchange market, and even metals. By identifying the potential direction of future price movements, it helps you make more accurate trading decisions.
The developer of this tool is a young Indonesian trader known by the nickname Ano_Jokamp354 , who has been involved in the capital market since his school days.
TruRSI Trendlines with BreakoutsTruRSI Trendline with Break for trading a trending market and spotting breakout, continuation and reversal promptly. It is adapted from RSI Trendline with Breakouts with parameters to suit my understanding.
Triple Stochastic Confluence by AtallaTriple Stochastic Confluence by Atalla - Indicator Summary
Overview
The "Triple Stochastic Confluence by Atalla" is a technical indicator for TradingView that identifies potential trading opportunities using the confluence of three Stochastic oscillators with different timeframes. The indicator focuses exclusively on the %D lines (signal lines) of the Stochastics.
Key Components
Three Stochastic Oscillators
Short-term Stochastic: Period 9, %K Smoothing 1, %D Period 3
Medium-term Stochastic: Period 14, %K Smoothing 1, %D Period 3
Long-term Stochastic: Period 60, %K Smoothing 1, %D Period 10
Visual Display
White lines for the first two Stochastics (%D lines)
Yellow line for the third (long-term) Stochastic (%D line)
Background color changes to highlight trading opportunities:
Yellow background: Bullish signal
Red background: Bearish signal
Trading Signals Logic
Bullish Signal (Yellow Background)
A bullish signal occurs when any Stochastic %D line is in the oversold zone (≤25%) while at least one of the other %D lines is in the overbought zone (≥75%).
Bearish Signal (Red Background)
A bearish signal occurs when any Stochastic %D line is in the overbought zone (≥75%) while at least one of the other %D lines is in the oversold zone (≤25%).
Configurable Parameters
Stochastic periods and smoothing values
Overbought level (default: 75%)
Oversold level (default: 25%)
Alert Conditions
The indicator includes alert conditions for both bullish and bearish confluence signals, allowing users to set up automated notifications for trading opportunities.
Trading Philosophy
This indicator leverages the concept of momentum divergence across different timeframes. When oscillators at different timeframes show opposing extreme readings (one in oversold and another in overbought), it may indicate a potential reversal point in the market. The indicator's strength lies in identifying these confluences automatically and providing clear visual signals.
Elder Envelope V2Based on the public script by idu. (Elder Impulse System with AutoEnvelope combined by idu)
I enhanced it by adding:
- second set of envelope bands
-alerts for Short and Center EMAs cross
- fill between EMAs
I find this strategy good for swing trading on daily timeframes to determine overbought/oversold conditions. When stock is near 2nd upper band - take profits/short, when near lower -2nd band cover short/buy longs. Bull bear trend is determined by the short and long(center) emas cross. In rangebound flat trends gives false signals. Best edge is when near extremes of the bands.
Multiple EMAscombined Indicator EMA, Yesterday High low. super trend, BB.
combined Indicator EMA, Yesterday High low. super trend, BB.
combined Indicator EMA, Yesterday High low. super trend, BB.
combined Indicator EMA, Yesterday High low. super trend, BB.
combined Indicator EMA, Yesterday High low. super trend, BB.
combined Indicator EMA, Yesterday High low. super trend, BB.
combined Indicator EMA, Yesterday High low. super trend, BB.
combined Indicator EMA, Yesterday High low. super trend, BB.
combined Indicator EMA, Yesterday High low. super trend, BB.
Multiple EMAscombined Indicator EMA, Yesterday High low. super trend, BB.
combined Indicator EMA, Yesterday High low. super trend, BB.
combined Indicator EMA, Yesterday High low. super trend, BB.
combined Indicator EMA, Yesterday High low. super trend, BB.
combined Indicator EMA, Yesterday High low. super trend, BB.
combined Indicator EMA, Yesterday High low. super trend, BB.
combined Indicator EMA, Yesterday High low. super trend, BB.
combined Indicator EMA, Yesterday High low. super trend, BB.
combined Indicator EMA, Yesterday High low. super trend, BB.
volume ADEL This script visually enhances candlestick charts by coloring both the candles and volume bars based on the relative strength of volume
[blackcat] L2 Multi-Level Price Condition TrackerOVERVIEW
The L2 Multi-Level Price Condition Tracker represents an innovative approach to analyzing financial markets by simultaneously monitoring multiple price levels, thus providing traders with a holistic view of market dynamics. By combining dynamic calculations based on moving averages and price deviations, this tool aims to deliver precise and actionable insights into potential entry and exit points. It leverages sophisticated statistical measures to identify key thresholds that signify shifts in market sentiment, thereby aiding traders in making well-informed decisions. 🎯
Key benefits encompass:
• Comprehensive calculation of midpoints and average prices indicating short-term trend directions.
• Interactive visualization elements enhancing interpretability effortlessly.
• Real-time generation of buy/sell signals driven by precise condition evaluations.
TECHNICAL ANALYSIS COMPONENTS
📉 Midpoint Calculations:
Computes central reference points derived from high-low ranges establishing baseline supports/resistances.
Utilizes Simple Moving Averages (SMAs) along with standardized deviation formulas smoothing out volatility while preserving long-term trends accurately.
Facilitates identification of directional biases reflecting underlying market forces dynamically.
🕵️♂️ Advanced Price Level Detection:
Derives upper/lower bounds adjusting sensitivities adaptively responding to changing conditions flexibly.
Employs proprietary logic distinguishing between bullish/bearish sentiments promptly signaling transitions effectively.
Ensures consistent adherence to predefined statistical protocols maintaining accuracy robustly.
🎥 Dynamic Signal Generation:
Detects crossovers indicating dominance shifts between buyers/sellers promptly triggering timely alerts.
Integrates conditional logic reinforcing signal validity minimizing erroneous activations systematically.
Supports adaptive thresholds tuning sensitivities based on evolving market conditions flexibly accommodating varying scenarios.
INDICATOR FUNCTIONALITY
🔢 Core Algorithms:
Utilizes moving averages alongside standardized deviation formulas generating precise net volume measurements.
Implements Arithmetic Mean Line Algorithm (AMLA) smoothing techniques improving interpretability.
Ensures consistent alignment with established statistical principles preserving fidelity.
🖱️ User Interface Elements:
Dedicated plots displaying real-time midpoint markers facilitating swift decision-making.
Context-sensitive color coding distinguishing positive/negative deviations intuitively highlighting key activations clearly.
Background shading emphasizing proximity to crucial threshold activations enhancing visibility focusing attention on vital signals promptly.
STRATEGY IMPLEMENTATION
✅ Entry Conditions:
Confirm bullish/bearish setups validated through multiple confirmatory signals assessing concurrent market sentiment factors.
Validate entry decisions considering alignment between calculated midpoints and broader trend directions ensuring coherence.
Monitor cumulative breaches signifying potential trend reversals executing partial/total closes contingent upon predetermined loss limits preserving capital efficiently.
🚫 Exit Mechanisms:
Trigger exits upon hitting predefined thresholds derived from historical analyses promptly executing closures.
Execute partial/total closes contingent upon cumulative loss limits preserving capital efficiently managing exposures prudently.
Conduct periodic reviews gauging strategy effectiveness rigorously identifying areas needing refinement implementing corrective actions iteratively enhancing performance metrics steadily.
PARAMETER CONFIGURATIONS
🎯 Optimization Guidelines:
Lookback Period: Governs responsiveness versus stability balancing sensitivity/stability governing moving averages aligning with preferred granularity.
Price Source: Dictates primary data series driving volume calculations selecting relevant inputs accurately tailoring strategies accordingly.
💬 Customization Recommendations:
Commence with baseline defaults; iteratively refine parameters isolating individual impacts evaluating adjustments independently prior to combined modifications minimizing disruptions.
Prioritize minimizing erroneous trigger occurrences first optimizing signal fidelity sustaining balanced risk-reward profiles irrespective of chosen settings upholding disciplined approaches preserving capital efficiently.
ADVANCED RISK MANAGEMENT
🛡️ Proactive Risk Mitigation Techniques:
Enforce strict compliance with pre-defined maximum leverage constraints adhering strictly to guidelines managing exposures prudently.
Mandatorily apply trailing stop-loss orders conforming to script outputs enforcing discipline rigorously preventing adverse consequences.
Allocate positions proportionately relative to available capital reserves conducting periodic reviews gauging effectiveness continuously identifying improvement opportunities steadily.
⚠️ Potential Pitfalls & Solutions:
Address frequent violations arising during heightened volatility phases necessitating manual interventions judiciously preparing contingency plans proactively mitigating risks effectively.
Manage false alerts warranting immediate attention avoiding adverse consequences systematically implementing corrective actions reliably.
Prepare proactive responses amid adverse movements ensuring seamless functionality amidst fluctuating conditions fortifying resilience against anomalies robustly.
PERFORMANCE MONITORING METRICS
🔍 Evaluation Criteria:
Assess win percentages consistently across diverse trading instruments gauging reliability measuring profitability efficiency accurately evaluating downside risks comprehensively uncovering systematic biases potentially skewing outcomes.
Calculate average profit ratios per successful execution benchmarking actual vs expected performances documenting results meticulously tracking progress dynamically addressing identified shortcomings proactively fostering continuous improvements.
📈 Historical Data Analysis Tools:
Maintain detailed logs capturing every triggered event recording realized profits/losses comparing simulated projections accurately identifying discrepancies warranting investigation implementing iterative refinements steadily enhancing performance metrics progressively.
Identify recurrent systematic errors demanding corrective actions implementing iterative refinements steadily addressing identified shortcomings proactively fostering continuous enhancements dynamically improving robustness resiliently.
PROBLEM SOLVING ADVICE
🔧 Frequent Encountered Challenges:
Unpredictable behaviors emerging within thinly traded markets requiring filtration processes enhancing signal integrity excluding low-liquidity assets prone to erratic movements effectively.
Latency issues manifesting during abrupt price fluctuations causing missed opportunities introducing buffer intervals safeguarding major news/event impacts mitigating distortions seamlessly verifying reliable connections ensuring uninterrupted data flows guaranteeing accurate interpretations dependably.
💡 Effective Resolution Pathways:
Limit ongoing optimization attempts preventing model degradation maintaining optimal performance levels consistently recalibrating parameters periodically adapting strategies flexibly responding appropriately amidst varying conditions dynamically improving robustness resiliently.
Verify reliable connections ensuring uninterrupted data flows guaranteeing accurate interpretations dependably bolstering overall efficacy systematically addressing identified shortcomings dynamically fostering continuous advancements.
THANKS
Heartfelt acknowledgment extends to all developers contributing invaluable insights regarding multi-level price condition-based trading methodologies! ✨
