Footprint Simplified (Aplicode)This indicator works on the basis of FOOTPRINT and represents the corresponding BID, ASK, and Volume values for each candle (each price).
No configuration required.
Indicators and strategies
JPMorgan Collar LevelsThis indicator visualizes the current JPMorgan Hedging Collar strategy commonly used by institutional funds like JHEQX. It plots three key levels:
– Short Call strike (upper bound)
– Long Put strike (protection level)
– Short Put strike (cost reduction)
The area between the long put and short call is shaded to represent the active hedging zone. This setup is updated quarterly and can influence SPX market behavior near expiration dates.
Inputs are customizable to reflect the latest collar configuration. Useful for traders tracking institutional hedging flows or analyzing market structure near key option expirations.
🟢 BTC Oscylator Zakupowo-Sprzedażowy (1W Optymalizacja)The oscillator will analyze:
RSI (Relative Strength Index)
MACD
Stochastic RSI
CCI (Commodity Channel Index)
Bollinger Bands
Volume spike
EMA crossover (short term crossing long term)
JACK Pivot Breakout StrategyThis script is quite robust and includes comprehensive logic for pivot breakouts, EMA analysis, and support/resistance breaks.
Apply this script to TradingView or similar charting platforms to visualize pivot points, EMAs, and support/resistance lines.
Adjust the parameters (slPips, tpPips, etc.) to suit your trading style and risk tolerance.
Monitor the generated alerts for actionable trading opportunities.
XLevel% PULL BACKThis is simple pull back indicator plotted to your chart . 10% - 70% and it will alert you when price is crossing from those levels.
RSI-Volume Momentum Signal ScoreRSI-Volume Momentum Signal Score
Description
The RSI-Volume Momentum Signal Score is a predictive technical indicator designed to identify bullish and bearish momentum shifts by combining volume-based momentum with the Relative Strength Index (RSI). It generates a Signal Score derived from:
• The divergence between short-term and long-term volume (Volume Oscillator), and
• RSI positioning relative to a user-defined threshold.
This hybrid approach helps traders detect early signs of price movement based on volume surges and overbought/oversold conditions.
The Signal Score is computed as follows:
Signal Score = Volume Momentum x RSI Divergence Factor
Volume Momentum = tanh ((Volume Oscillator value (vo) – Volume Threshold)/Scaling Factor)
RSI Divergence Factor = ((RSI Threshold – RSI Period)/Scaling Factor)
Or,
Signal Score = tanh((vo - voThreshold) / scalingFactor) * ((rsiThreshold - rsi) / scalingFactor)
The logic of this formula are as follows:
• If Volume Oscillator >= Volume Threshold and RSI <= RSI Threshold: Bullish Signal (+1 x Scaling Factor)
• If Volume Oscillator >= Volume Threshold and RSI >= (100 – RSI Threshold): Bearish Signal (-1 x Scaling Factor)
• Otherwise: Neutral (0)
The tanh function provides the normalization process. It ensures that the final signal score is bounded between -1 and 1, increases sensitivity to early changes in volume patterns based on RSI conditions, and prevent sudden jumps in signals ensuring smooth and continuous signal line.
Input Fields
The input fields allow users to customize the behavior of the indicator based on their trading strategy:
Short-Term Volume MA
- Default: `2`
- Description: The period for the short-term moving average of volume.
- Purpose: Captures short-term volume trends.
Long-Term Volume MA)
- Default: `10`
- Description: The period for the long-term moving average of volume.
- Purpose: Captures long-term volume trends for comparison with the short-term trend.
RSI Period)
- Default: `3`
- Description: The period for calculating the RSI.
- Purpose: Measures the relative strength of price movements over the specified period.
Volume Oscillator Threshold
- Default: `70`
- Description: The threshold for the Volume Oscillator to determine significant volume momentum.
- Purpose: Filters out weak volume signals.
RSI Threshold
- Default: `25`
- Description: The RSI level used to identify overbought or oversold conditions.
- Purpose: Helps detect potential reversals in price momentum.
Signal Scaling Factor
- Default: `10`
- Description: A multiplier for the signal score.
- Purpose: Adjusts the magnitude of the signal score for better visualization.
How To Use It for Trading:
Upcoming Bullish Signal: Signal line turns from Gray to Green or from Green to Gray
Upcoming Bearish Signal: Signal line turns from Gray to Red or from Red to Gray
Note: The price that corresponds to the transition of Signal line from Gray to Green or Red and vise versa is the signal price for upcoming bullish or bearish signal.
The signal score dynamically adjusts based on volume and RSI thresholds, making it adaptable to various market conditions, and this is what makes the indicator unique from other traditional indicators.
Unique Features
Unlike traditional indicators, this indicator combines two different dimensions—volume trends and RSI divergence—for more comprehensive signal generation. The use of tanh() to scale and smooth the signal is a mathematically elegant way to manage signal noise and highlight genuine trends. Traders can tune the scaling factor and thresholds to adapt the indicator for scalping, swing trading, or longer-term investing.
Footprint Advanced (Apicode)This more sophisticated and precise indicator works on the foundations of FOOTPRINT and represents the corresponding BID, ASK, and Volume values for each candle (each price).
No configuration required.
EMA Crossover (New Trailing Stop)This strategy utilizes a combination of Exponential Moving Averages (EMA) to generate entry and exit signals for both long and short positions. The core of the strategy is based on the 13-period EMA (short EMA) crossing the 33-period EMA (long EMA) for entering long trades, while a 13-period EMA crossing the 25-period EMA (mid EMA) generates short trade signals. The strategy aims to capitalize on trend reversals and momentum shifts in the market.
A key enhancement in this strategy is the inclusion of slippage, set at 5 ticks, to simulate more realistic trading conditions. Slippage accounts for the difference between the expected price of a trade and the actual price, providing a more accurate representation of real-world trading scenarios.
Stack Overflow
To address the issue of overlapping exit orders, the strategy incorporates a flag (isExiting) to track whether an exit has been processed. This ensures that only one exit order is generated per bar, preventing multiple exits from overlapping and resulting in clearer trade execution.
The strategy is designed to execute trades swiftly, emphasizing real-time entry when conditions align. For long entries, the strategy initiates a buy when the 13 EMA is greater than the 33 EMA, indicating a bullish trend. For short entries, the 13 EMA crossing below the 33 EMA signals a bearish trend, prompting a short position. Importantly, the code includes built-in exit conditions for both long and short positions. Long positions are exited when the 13 EMA falls below the 33 EMA, while short positions are closed when the 13 EMA crosses above the 25 EMA.
A notable feature of the strategy is the use of trailing stops for both long and short positions. This dynamic exit method adjusts the stop level as the market moves favorably, locking in profits while reducing the risk of losses. The trailing stop for long positions is based on the high price of the current bar, while the trailing stop for short positions is set using the low price, providing flexibility in managing risk. This mechanism helps capture profits from favorable market movements while ensuring positions are exited if the market moves against them.
In summary, this strategy combines EMA crossovers with realistic trading conditions, including slippage and non-overlapping exits, to effectively identify and act upon market trends. This strategy works best on the 4H/Daily timeframe and is optimized for major cryptocurrency pairs. The 4H/Daily chart allows for the EMAs to provide more reliable signals, as the strategy is designed to capture broader trends rather than short-term market fluctuations. Using it on major crypto pairs increases its effectiveness as these assets tend to have strong and sustained trends, providing better opportunities for the strategy to perform well.
DeenDun.com Fundamentals📊 PERFECT Trades - Fundamental Snapshot Undel Panel
This indicator by PERFECT Trades fetches and displays key fundamental financial metrics directly on the TradingView chart for the current stock symbol.
🧾 What It Does:
Shows essential financial data (e.g., Market Cap, P/E Ratio, ROE, Sales Growth, etc.) for the stock currently loaded on the chart. If the metric is negative then ignore it.
Helps investors quickly evaluate fundamentals without switching to external websites.
Perfect for fundamental screening during chart analysis, especially for halal investment decisions.
📌 Metrics Displayed (examples – update as per script):
Market Capitalization
Price-to-Earnings (P/E) Ratio
Return on Equity (ROE)
Net Profit Growth %
Sales Growth %
Debt-to-Equity Ratio
Dividend Yield
Book Value
Previous Day Regression with Trading Setups (EUR/USD)Previous Day Regression with Trading Setups (EUR/USD)
This indicator is designed specifically for trading the EUR/USD pair during the London session only. It uses a regression line based on the previous day's price action to identify high-probability trade setups.
Core Strategy
The indicator executes only one trade per session — either long or short, not both.
If a trade is triggered and Stop Loss (SL) is hit, a reverse trade is triggered once price revisits the original entry level.
For example, if a long trade is stopped out, a short trade will be initiated once the price pulls back to the original long entry.
This reversal mechanism is designed to help recover from initial losses and potentially turn the session profitable.
Trade Management
Take Profit (TP): 130 points
Stop Loss (SL): 73 points
Previous Candle Range Split into ThirdsThis script plots two horizontal lines over the previous candle to divide its total range (high to low) into three equal parts. The first line marks 33% of the range from the low, and the second marks 66%. This helps users visually identify whether the previous candle closed in the lower, middle, or upper third of its range, providing context on potential buyer or seller dominance during that session.
Users can customize the color, width, and style (solid, dotted, dashed) of each line, as well as toggle their visibility from the script's input settings.
This indicator is designed as a discretionary analysis tool and does not generate buy or sell signals.
My script 1. Inside Bar Detection:
• The strategy identifies an inside bar pattern where the current (or higher timeframe) bar’s high is lower than the previous bar’s high and its low is higher than the previous bar’s low.
• It only considers setups where the bar’s range exceeds a minimum percentage of the ATR, and the potential reward-to-risk (R-multiple) meets or exceeds a user-defined threshold.
2. Setup and Order Management:
• When a valid inside bar setup is detected (with long setups when the price is bullish and short setups when bearish), the strategy displays a small setup indicator on the chart (a green triangle below the bar for long setups and a red triangle above for short setups).
• It draws bold horizontal lines representing the proposed entry level, stop-loss, and take-profit levels. These lines extend to the right to show the price levels at which orders would be placed if the setup is triggered.
• If a new valid setup is detected while no trade is active, any pending orders from a previous setup are canceled (using a setup cancellation logic with a tracking variable).
3. Trade Execution:
• Once the market reaches the calculated entry level (as determined by the inside bar and the user-specified offsets), the strategy places a stop order to enter a trade.
• It then sets exit orders for both take-profit and stop-loss based on the levels defined by the inside bar’s range.
4. Trade Tracking and Visualization:
• When a trade is triggered, the strategy creates a new set of “trade lines” (entry, stop-loss, and take-profit lines) that are updated in real time.
• When the trade exits (either through profit or a stop loss), these trade lines are frozen (their extension is stopped) and a trade box is drawn to mark the period of the trade.
• Closed trades remain on the chart as visual markers, allowing you to review historical trades.
5. CSV Export via Alerts:
• When a trade exits, the strategy constructs a CSV‐formatted string containing details such as the symbol, trade direction, entry price, exit price, and the realized R-multiple.
• An alert is fired with this CSV message. This message can be captured via a webhook, which is useful for logging trade performance or integrating with other systems.
6. 200 EMA and Multi-Timeframe Scanner:
• A 200-period exponential moving average (EMA) is plotted on the chart to help identify trend direction.
• The strategy also includes a scanner table that shows whether an inside bar is currently forming on multiple resolutions (from 1 minute up to 1 month). This scanner helps provide context and additional confirmation of market conditions.
Overall, this strategy combines technical pattern recognition (inside bars) with robust order management, visual feedback (via setup indicators, trade lines, and historical trade boxes), and external trade logging using CSV alerts. It is designed to work on a higher timeframe (with an option to use multi-timeframe data) and helps traders both execute and review inside bar-based trades with clear risk/reward considerations.
MEG and Tom Fast Call/PutThis indicator is my go to for any market. It is based simply on EMA crosses, and works with momentum trades. Currently, the EMA crosses are set for short time periods, and can be adjusted for longer periods.
Multi-Symbol EMA Status Table🔍 Multi-Symbol EMA Trend Scanner Table
This script displays a clean, customizable table showing whether the price of up to 16 different assets is above or below a user-defined EMA, on a per-symbol and per-timeframe basis.
✅ Supports up to 16 symbols, each with:
Custom exchange + ticker (e.g., BINANCE:BTCUSDT.P, PEPPERSTONE:EURUSD)
Custom timeframe (e.g., 15, 60, 240, D, W)
Custom EMA length (e.g., 50, 100, 200)
🧩 Fully customizable visuals:
Table position (top, middle, bottom + left, center, right)
Text size and text color
Background color for "above" and "below" EMA
Optional ✅❌ emojis
📊 The table updates live on your main chart — no switching required!
💡 Great for:
Monitoring trend direction across multiple markets
Spotting trend alignment (e.g., price above 200 EMA on 4H + 1D)
Multi-asset swing trading or scalping strategies
📘 How to Use:
Open a chart and add the indicator from your scripts.
In the settings panel:
Enter any symbol (with exchange prefix, like BINANCE:BTCUSDT.P or OANDA:EURUSD)
Set a timeframe (e.g., "15" for 15min, "60" for 1h, "D" for daily)
Choose your EMA length (e.g., 200)
Repeat for as many symbols as you need (up to 16).
Customize table visuals:
Position on the screen
Font size and color
Enable/disable emojis ✅❌
Watch the table update live!
🧠 Optional Tips:
Use different colors or groupings to track asset classes (crypto, forex, stocks).
Combine it with your favorite entry/exit signals for confirmation.
Try setting all symbols to the same EMA (e.g., 200) but with different timeframes to monitor multi-timeframe alignment.
RSI + ADX + ATR Combo Indicator: RSI + ADX + ATR Combo Filter
This indicator is a confluence filter tool that combines RSI, ADX, and ATR into a single, easy-to-read chart overlay. It is designed to help traders identify low-volatility, non-trending zones with balanced momentum—ideal for strategies that rely on breakouts or reversals.
🔍 Core Components:
RSI (Relative Strength Index)
Standard RSI with custom upper and lower bounds (default: 60 and 40).
Filters out extreme overbought/oversold regions and focuses on price consolidation zones.
ADX (Average Directional Index)
Measures trend strength.
When ADX is below a custom threshold (default: 20), it indicates a weak or range-bound trend.
ATR (Average True Range)
Represents volatility.
Low ATR values (default threshold: 2.5) are used to filter out high-volatility environments, helping refine entries.
🟣 Signal Logic:
A signal is highlighted with a background color when all three conditions are met:
RSI is between lower and upper bounds (e.g., 40 < RSI < 60) ✅
ADX is below the trend threshold (e.g., ADX < 20) ✅
ATR is below the volatility threshold (e.g., ATR < 2.5) ✅
These combined conditions suggest a low-volatility, low-trend strength, and balanced momentum zone—perfect for anticipating breakouts or strong directional moves.
EMA+SMA+VWAP Trading Strategy This strategy is for COINBASE:ETHUSD 15min. Tweak the INPUTS as per requirement.
Note: The strategy will give different results for different sources(Binance, Bitstamp) and symbols.
For more accurate P&L in "Strategy Tester" modify the settings as below:
Under "Properties" tab
--Change "Order Size" value (default is 1) and type from "% of equity" to "Contract".
--Add "Commission". For me commission was "0.07 %".
Strategy Explanation
Trend Following: The strategy uses EMA crossovers (17 vs. 31) to detect momentum shifts, with VWAP and SMA (69) acting as filters to confirm the broader trend.
Reversal Mechanism: It allows switching directly from long to short (or vice versa) by closing the existing position before entering the new one.
Exit Strategy: Faster EMAs (8 and 9) are used for exits, making the strategy sensitive to short-term reversals while avoiding premature exits during strong trends.
Risk Management: The use of multiple filters (VWAP, SMA) reduces false signals, though it may delay entries in fast-moving markets.
How It Works:
Bullish Scenario: If the 17-period EMA crosses above the 31-period EMA, and the price is above both VWAP and the 69-period SMA, a long position is opened. It exits when the 8-period EMA crosses below the 9-period EMA.
Bearish Scenario: If the 17-period EMA crosses below the 31-period EMA, and the price is below both VWAP and the 69-period SMA, a short position is opened. It exits when the 8-period EMA crosses above the 9-period EMA.
Reversal: If a short position is active and a long signal triggers, the short is closed before entering the long (and vice versa).
Potential Strengths
Combines momentum (EMA crossovers) with trend confirmation (VWAP, SMA).
Reversal logic allows flexibility in choppy markets.
Visual indicators make it easy to monitor signals.
Potential Weaknesses
Multiple conditions may reduce trade frequency, missing some opportunities.
Sensitivity to EMA periods; defaults (17, 31, 8, 9, 69) may not suit all assets or timeframes.
No explicit stop-loss or take-profit logic, relying solely on EMA exits.
Copy's of InSide Bar Strategyit's just a testing.
it's just a testing.
it's just a testing.
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EMA5 vs EMA13 Crossover (1D)1dklık ema5 vs ema13 crossover deneme bununla 1 dk lık al sat verısı ıncelıyorum
J Weighted Average Price📘 How to Use the OBV VWAP Reentry Signal Effectively
This indicator plots a VWAP based on OBV (On-Balance Volume), along with dynamic bands to identify overbought and oversold conditions in volume flow.
🔺 Red Triangle Up: Appears when OBV crosses back below the upper band → Potential reversal from overbought → Watch for short opportunities.
🔻 Blue Triangle Down: Appears when OBV crosses back above the lower band → Potential reversal from oversold → Watch for long opportunities.
📌 Tip: Use these signals in confluence with price action or trend confirmation to filter false signals. For example:
Enter short after a reentry from upper band and a lower high in price.
Enter long after a reentry from lower band and a bullish candle structure.
This setup helps you catch mean reversion moves based on volume flow, not just price.
VSA Tick Volume Zones0
مؤشر VSA Tick Volume مع مناطق العرض والطلب (إصدار تجريبي)
مؤشر مخصص لمنصة TradingView يعتمد على تحليل الحجم والسعر (VSA - Volume Spread Analysis)، ويقوم تلقائيًا بتحديد مناطق الطلب والعرض استنادًا إلى إشارات VSA القوية. يهدف المؤشر إلى كشف تحركات المتداولين المحترفين وتحديد نقاط الانعكاس الذكية.
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✅ الميزات الأساسية:
1. إشارات VSA:
المؤشر يتعرف تلقائيًا على أبرز إشارات تحليل VSA:
- *Climactic Volume (CV):* حجم تداول مرتفع بشكل استثنائي يشير لنهاية الاتجاه الحالي.
- *No Demand (ND):* شموع صعودية ضعيفة الحجم، تشير إلى غياب اهتمام المشترين.
- *No Supply (NS):* شموع هبوطية ضعيفة الحجم، تشير إلى غياب اهتمام البائعين.
- *Stopping Volume (SV):* ارتفاع مفاجئ في الحجم بعد اتجاه هابط، يشير لتدخل المشترين.
- *UpThrust (UT):* اختراق كاذب للسعر نحو الأعلى مع حجم كبير وإغلاق منخفض.
- *Test (T):* شموع اختبارية بحجم منخفض للتحقق من غياب البائعين استعدادًا للصعود.
2. تلوين الشموع:
- كل إشارة تُلوَّن تلقائيًا على الشارت لتسهيل المتابعة البصرية:
- CV باللون الأحمر
- ND باللون البرتقالي
- NS باللون الأخضر
- SV باللون الأزرق
- UT باللون الأرجواني
- Test باللون السماوي
3. رسم مناطق العرض والطلب تلقائيًا:
- يتم تحديد المناطق بناءً على إشارات *UT* و*SV* و*Test*، حيث تعتبر مناطق تمركز ذكي للمؤسسات (Smart Money Zones).
🎯 الهدف من المؤشر:
يساعد هذا المؤشر:
- المتداول اليومي على اتخاذ قرارات مدروسة.
- المحلل الفني على فهم السياق المؤسساتي للسوق.
- دعم استراتيجيات الدخول والخروج بدقة أعلى من خلال الدمج بين إشارات VSA والمناطق الفعلية للعرض والطلب.
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🧪 ملاحظات:
- المؤشر لا يعتبر توصية شراء أو بيع.
- الإشارات تحتاج إلى تأكيد من خلال حركة السعر أو مؤشرات مساعدة.
- يمكن استخدامه مع أدوات إضافية مثل RSI أو Moving Averages.
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⚙ الاقتراحات المستقبلية:
- دمج أدوات تدفق السيولة (مثل OBV أو VWAP).
- تنبيه صوتي وإشعار عند ظهور إشارات محددة.
- تخصيص أكبر للمستخدم من حيث الألوان ونوع الإشارات.
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للتواصل أو المساهمة في تطوير المؤشر، يرجى مراسلتي.
VSA Tick Volume Indicator with Supply and Demand Zones (Beta Version)
A custom indicator for the TradingView platform based on Volume and Price Analysis (VSA - Volume Spread Analysis), it automatically identifies supply and demand zones based on strong VSA signals. The indicator aims to uncover the movements of professional traders and identify smart reversal points.
✅ Key Features:
VSA Signals: The indicator automatically detects key VSA analysis signals:
Climactic Volume (CV): Exceptionally high trading volume indicating the end of the current trend.
No Demand (ND): Bullish candles with weak volume, indicating a lack of buyer interest.
No Supply (NS): Bearish candles with weak volume, indicating a lack of seller interest.
Stopping Volume (SV): A sudden volume spike after a downtrend, indicating buyer intervention.
UpThrust (UT): A false price breakout upwards with high volume and a low close.
Test (T): Low-volume test candles to check for the absence of sellers, signaling readiness for an upward move.
Candle Coloring:
Each signal is automatically color-coded on the chart for easy visual tracking:
CV in red
ND in orange
NS in green
SV in blue
UT in purple
Test in cyan
Automatic Supply and Demand Zone Drawing:
Zones are determined based on the UT, SV, and Test signals, which are considered smart money zones.
🎯 Purpose of the Indicator:
This indicator helps:
The day trader make informed decisions.
The technical analyst understand the market's institutional context.
Enhance entry and exit strategies with more accuracy by combining VSA signals and actual supply and demand zones.
🧪 Notes:
The indicator is not a buy or sell recommendation.
Signals need confirmation through price action or additional indicators.
Can be used alongside other tools such as RSI or Moving Averages.
⚙ Future Suggestions:
Integration of liquidity flow tools (such as OBV or VWAP).
Sound alerts and notifications when specific signals appear.
Greater customization options for users regarding colors and signal types.
For inquiries or contributions to the indicator's development, please contact me.
50 EMA Crossover With Monthly DCARecommended Chart Interval = 1W
Overview:
This strategy combines trend-following principles with dollar-cost averaging (DCA), aiming to efficiently deploy capital while minimizing market timing risk.
How It Works:
When the Long Condition is Not Met (i.e., Price < 50 EMA):
- If the price is below the 50 EMA, a fixed DCA amount is added to a cash reserve every month.
- This ensures that capital is consistently accumulated, even when the strategy isn't in a long position.
When the Long Condition is Met (i.e., Price > 50 EMA):
- A long position is opened when the price is above the 50 EMA.
- At this point, the entire capital, including the accumulated cash reserve, is deployed into the market.
- While the strategy is long, a DCA buy order is placed every month using the set DCA amount, continuously investing as the market conditions allow.
Exit Strategy:
If the price falls below the 50 EMA, the strategy closes all positions, and the cash reserve accumulation process begins again.
Key Benefits:
✔ Systematic Investing: Ensures consistent capital deployment while following trend signals.
✔ Cash Efficiency: Accumulates uninvested funds when conditions aren’t met and deploys them at optimal moments.
✔ Risk Management: Exits when the price trend weakens, protecting capital.
Conclusion:
This method allows for efficient capital growth by combining a trend-following approach with disciplined DCA, ensuring risk is managed while capital is deployed systematically at optimal points in the market. 🚀