Liquidity Sweep Filter [AlgoAlpha]Unlock a deeper understanding of market liquidity with the Liquidity Sweep Filter by AlgoAlpha. This indicator identifies liquidity sweeps, highlighting key price levels where large liquidations have occurred. By visualizing major and minor liquidation events, traders can better anticipate potential reversals and market structure shifts, making this an essential tool for those trading in volatile conditions.
Key Features :
🔍 Liquidity Sweep Detection – Identifies and highlights areas where liquidity has been swept, distinguishing between major and minor liquidation events.
📊 Volume Profile Integration – Displays a volume profile overlay, helping traders spot high-activity price zones where the market is likely to react.
📈 Trend-Based Filtering – Utilizes an adaptive trend detection algorithm to refine liquidity sweeps based on market direction, reducing noise.
🎨 Customizable Visualization – Modify colors, thresholds, and display settings to tailor the indicator to your trading style.
🔔 Alerts for Liquidity Sweeps & Trend Changes – Stay ahead of the market by receiving alerts when significant liquidity events or trend shifts occur.
How to Use:
🛠 Add the Indicator : Add the Liquidity Sweep Filter to your chart and configure the settings based on your preferred sensitivity. Adjust the major sweep threshold to filter out smaller moves.
📊 Analyze Liquidity Zones and trend direction : Look for liquidation levels where large buy or sell stops have been triggered. Major sweeps indicate strong reactions, while minor sweeps show gradual liquidity absorption. You can also see which levels are high in liquidity by the transparency of the levels.
🔔 Set-Up Alerts : Use the in-built alerts so you don't miss a trading opportunity
How It Works :
The Liquidity Sweep Filter detects liquidity events by tracking swing highs and lows (defined as a pivot where neighboring candles are lower/higher than it) where traders are likely to have placed stop-loss orders. It evaluates volume and price action, marking areas where liquidity has been absorbed by the market. Additionally, the integrated trend filter ensures that only relevant liquidity sweeps are highlighted based on market direction, lows in an uptrend and highs in a downtrend. The trend filter works by calculating a basis, and defining trend shifts when the closing price crosses over the upper or lower bands.The included volume profile further enhances analysis by displaying key trading zones where price may react.
Trend Analysis
DeadMoney || OrderBlocksСкрипт от DeadMoney автоматически определяет и визуализирует бычьи (Bullish) и медвежьи (Bearish) ордер-блоки на графике.
Он основан на поиске свингов (Swing High/Low) и выделяет прямоугольные зоны, где может быть повышенная активность покупателей или продавцов.
Когда цена пробивает ордер-блок, зона отображается другим цветом и перестаёт считаться актуальной.
Основные параметры
Swing Lookback: определяет, насколько далеко назад идёт поиск свинг-точек.
Bullish OB и Bearish OB: сколько последних бычьих и медвежьих блоков отображать на графике.
Use Candle Body: если включено, логика учитывает тело свечи (open/close) вместо её экстремумов (high/low).
Использование
Добавьте скрипт на график — он автоматически построит ордер-блоки.
Параметры в меню Settings позволяют менять количество отображаемых блоков, глубину поиска свингов и учитывать/игнорировать тела свечей.
Цвета бычьих и медвежьих блоков, а также их «пробитых» состояний можно изменить в разделе Style.
Скрипт предназначен для помощи в техническом анализе, но не даёт гарантий успеха.
Перед использованием обязательно изучите принципы технического анализа и убедитесь что вы понимаете логику работы индикатора а также ордер-блоков.
Автор: DeadMoney
Контакт: @DeadMoneyKrypto (Telegram)
Euler Exponential Function with Deviation BandsEuler's Curve
Exponential Curve
Natural Logarithm LN
#albert_frasch25
[3Commas] HA & MAHA & MA
🔷What it does: This tool is designed to test a trend-following strategy using Heikin Ashi candles and moving averages. It enters trades after pullbacks, aiming to let profits run once the risk-to-reward ratio reaches 1:1 while securing the position.
🔷Who is it for: It is ideal for traders looking to compare final results using fixed versus dynamic take profits by adjusting parameters and trade direction—a concept applicable to most trading strategies.
🔷How does it work: We use moving averages to define the market trend, then wait for opposite Heikin Ashi candles to form against it. Once these candles reverse in favor of the trend, we enter the trade, using the last swing created by the pullback as the stop loss. By applying the breakeven ratio, we protect the trade and let it run, using the slower moving average as a trailing stop.
A buy signal is generated when:
The previous candle is bearish (ha_bear ), indicating a pullback.
The fast moving average (ma1) is above the slow moving average (ma2), confirming an uptrend.
The current candle is bullish (ha_bull), showing trend continuation.
The Heikin Ashi close is above the fast moving average (ma1), reinforcing the bullish bias.
The real price close is above the open (close > open), ensuring bullish momentum in actual price data.
The signal is confirmed on the closed candle (barstate.isconfirmed) to avoid premature signals.
dir is undefined (na(dir)), preventing repeated signals in the same direction.
A sell signal is generated when:
The previous candle is bullish (ha_bull ), indicating a temporary upward move before a potential reversal.
The fast moving average (ma1) is below the slow moving average (ma2), confirming a downtrend.
The current candle is bearish (ha_bear), showing trend continuation to the downside.
The Heikin Ashi close is below the fast moving average (ma1), reinforcing bearish pressure.
The real price close is below the open (close < open), confirming bearish momentum in actual price data.
The signal is confirmed after the candle closes (barstate.isconfirmed), avoiding premature entries.
dir is undefined (na(dir)), preventing consecutive signals in the same direction.
In simple terms, this setup looks for trend continuation after a pullback, confirming entries with both Heikin Ashi and real price action, supported by moving average alignment to avoid false signals.
If the price reaches a 1:1 risk-to-reward ratio, the stop will be moved to the entry point. However, if the slow moving average surpasses this level, it will become the new exit point, acting as a trailing stop
🔷Why It’s Unique
Easily visualizes the benefits of using risk-to-reward ratios when trading instead of fixed percentages.
Provides a simple and straightforward approach to trading, embracing the "keep it simple" concept.
Offers clear visualization of DCA Bot entry and exit points based on user preferences.
Includes an option to review the message format before sending signals to bots, with compatibility for multi-pair and futures contract pairs.
🔷 Considerations Before Using the Indicator
⚠️Very important: The indicator must be used on charts with real price data, such as Japanese candlesticks, line charts, etc. Do not use it on Heikin Ashi charts, as this may lead to unrealistic results.
🔸Since this is a trend-following strategy, use it on timeframes above 4 hours, where market noise is reduced and trends are clearer. Also, carefully review the statistics before using it, focusing on pairs that tend to have long periods of well-defined trends.
🔸Disadvantages:
False Signals in Ranges: Consolidating markets can generate unreliable signals.
Lagging Indicator: Being based on moving averages, it may react late to sudden price movements.
🔸Advantages:
Trend Focused: Simplifies the identification of trending markets.
Noise Reduction: Uses Heikin Ashi candles to identify trend continuation after pullbacks.
Broad Applicability: Suitable for forex, crypto, stocks, and commodities.
🔸The strategy provides a systematic way to analyze markets but does not guarantee successful outcomes. Use it as an additional tool rather than relying solely on an automated system.
Trading results depend on various factors, including market conditions, trader discipline, and risk management. Past performance does not ensure future success, so always approach the market cautiously.
🔸Risk Management: Define stop-loss levels, position sizes, and profit targets before entering any trade. Be prepared for potential losses and ensure your approach aligns with your overall trading plan.
🔷 STRATEGY PROPERTIES
Symbol: BINANCE:BTCUSDT (Spot).
Timeframe: 4h.
Test Period: All historical data available.
Initial Capital: 10000 USDT.
Order Size per Trade: 1% of Capital, you can use a higher value e.g. 5%, be cautious that the Max Drawdown does not exceed 10%, as it would indicate a very risky trading approach.
Commission: Binance commission 0.1%, adjust according to the exchange being used, lower numbers will generate unrealistic results. By using low values e.g. 5%, it allows us to adapt over time and check the functioning of the strategy.
Slippage: 5 ticks, for pairs with low liquidity or very large orders, this number should be increased as the order may not be filled at the desired level.
Margin for Long and Short Positions: 100%.
Indicator Settings: Default Configuration.
MA1 Length: 9.
MA2 Length: 18.
MA Calculations: EMA.
Take Profit Ratio: Disable. Ratio 1:4.
Breakeven Ratio: Enable, Ratio 1:1.
Strategy: Long & Short.
🔷 STRATEGY RESULTS
⚠️Remember, past results do not guarantee future performance.
Net Profit: +324.88 USDT (+3.25%).
Max Drawdown: -81.18 USDT (-0.78%).
Total Closed Trades: 672.
Percent Profitable: 35.57%.
Profit Factor: 1.347.
Average Trade: +0.48 USDT (+0.48%).
Average # Bars in Trades: 13.
🔷 HOW TO USE
🔸 Adjust Settings:
The default values—MA1 (9) and MA2 (18) with EMA calculation—generally work well. However, you can increase these values, such as 20 and 40, to better identify stronger trends.
🔸 Choose a Symbol that Typically Trends:
Select an asset that tends to form clear trends. Keep in mind that the Strategy Tester results may show poor performance for certain assets, making them less suitable for sending signals to bots.
🔸 Experiment with Ratios:
Test different take profit and breakeven ratios to compare various scenarios—especially to observe how the strategy performs when only the trade is protected.
🔸This is an example of how protecting the trade works: once the price moves in favor of the position with a 1:1 risk-to-reward ratio, the stop loss is moved to the entry price. If the Slow MA surpasses this level, it will act as a trailing stop, aiming to follow the trend and maximize potential gains.
🔸In contrast, in this example, for the same trade, if we set a take profit at a 1:3 risk-to-reward ratio—which is generally considered a good risk-reward relationship—we can see how a significant portion of the upward move is left on the table.
🔸Results Review:
It is important to check the Max Drawdown. This value should ideally not exceed 10% of your capital. Consider adjusting the trade size to ensure this threshold is not surpassed.
Remember to include the correct values for commission and slippage according to the symbol and exchange where you are conducting the tests. Otherwise, the results will not be realistic.
If you are satisfied with the results, you may consider automating your trades. However, it is strongly recommended to use a small amount of capital or a demo account to test proper execution before committing real funds.
🔸Create alerts to trigger the DCA Bot:
Verify Messages: Ensure the message matches the one specified by the DCA Bot.
Multi-Pair Configuration: For multi-pair setups, enable the option to add the symbol in the correct format.
Signal Settings: Enable whether you want to receive long or short signals (Entry | TP | SL), copy and paste the the messages for the DCA Bots configured.
Alert Setup:
When creating an alert, set the condition to the indicator and choose "alert() function call only.
Enter any desired Alert Name.
Open the Notifications tab, enable Webhook URL, and paste the Webhook URL.
For more details, refer to the section: "How to use TradingView Custom Signals".
Finalize Alerts: Click Create, you're done! Alerts will now be sent automatically in the correct format.
🔷 INDICATOR SETTINGS
MA 1: Fast MA Length
MA 2: Slow MA Length
MA Calc: MA's Calculations (SMA,EMA, RMA,WMA)
TP Ratio: This is the take profit ratio relative to the stop loss, where the trade will be closed in profit.
BE Ratio: This is the breakeven ratio relative to the stop loss, where the stop loss will be updated to breakeven or if the MA2 is greater than this level.
Strategy: Order Type direction in which trades are executed.
Use Custom Test Period: When enabled signals only works in the selected time window. If disabled it will use all historical data available on the chart.
Test Start and End: Once the Custom Test Period is enabled, here you select the start and end date that you want to analyze.
Check Messages: Enable the table to review the messages to be sent to the bot.
Entry | TP | SL: Enable this options to send Buy Entry, Take Profit (TP), and Stop Loss (SL) signals.
Deal Entry and Deal Exit : Copy and paste the message for the deal start signal and close order at Market Price of the DCA Bot. This is the message that will be sent with the alert to the Bot, you must verify that it is the same as the bot so that it can process properly so that it executes and starts the trade.
DCA Bot Multi-Pair: You must activate it if you want to use the signals in a DCA Bot Multi-pair in the text box you must enter (using the correct format) the symbol in which you are creating the alert, you can check the format of each symbol when you create the bot.
👨🏻💻💭 We hope this tool helps enhance your trading. Your feedback is invaluable, so feel free to share any suggestions for improvements or new features you'd like to see implemented.
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The information and publications within the 3Commas TradingView account are not meant to be and do not constitute financial, investment, trading, or other types of advice or recommendations supplied or endorsed by 3Commas and any of the parties acting on behalf of 3Commas, including its employees, contractors, ambassadors, etc.
Colored EMA (Multi-Timeframe)*This is a simple indicator of "Colored EMA" with 3 different Multi-Timeframe.
* This EMA is Red and Green color based EMA, means - if the price is above the EMA then the EMA is GREEN in color and if the price is below then the color of EMA is RED.
[TehThomas] - Simple MA Crossover📊 MA Crossover Indicator – Spot Trend Reversals with Confidence!
This powerful Moving Average Crossover Indicator is designed to help traders identify trend shifts with precision and clarity. Whether you trade forex, crypto, or stocks, this tool provides an easy-to-use visual representation of market momentum, allowing for smarter entries and exits.
How It Works
This indicator plots two simple moving averages (SMA) and detects crossover events, highlighting key moments when the market is shifting direction:
✅ Golden Cross (Bullish Signal) 📈 – When the short-term moving average crosses above the long-term moving average, it signals potential upward momentum, often used as a buy confirmation.
✅ Death Cross (Bearish Signal) 📉 – When the short-term moving average crosses below the long-term moving average, it indicates a possible downtrend, often seen as a sell confirmation.
By using this indicator, traders can filter out noise and focus on meaningful trend shifts rather than reacting to short-term price fluctuations.
🎯 Why This Indicator is a Game-Changer
🔹 Clear Trend Confirmation – Helps traders validate market direction before entering a trade.
🔹 Works on Any Asset & Timeframe – Apply it to forex, stocks, crypto, or indices on any
timeframe (scalping to long-term trading).
🔹 Removes Emotion from Trading – Provides objective, rule-based confirmation to avoid
impulsive decisions.
🔹 Great for Beginners & Pros – Whether you're just starting out or a seasoned trader, this tool
simplifies trend analysis.
💡 Tip: Combine this with RSI, MACD, support/resistance levels, or volume analysis for even stronger trade setups!
__________________________________________
🚀 Add this indicator to your chart and take your trend-trading to the next level! If you find it useful, don’t forget to like, comment, and follow for more trading tools!
KK Enhanced Pivot Points with Reversal Fibonacci & MABullish= Blue Line > Yellow Line > Red Line = When Yellow cross above Red
Bearish= Red Line > Yellow Line >Blue Line = When Yellow cross below Red
side = Blue Line in-between Yellow Line and Red Line
Pivot point noted and created yellow line
and fib level was showing to take entry on two-line breakout
use fib level for take entry, exit level and to put stop loss
Reversal level and other levels also available on settings
Thank you
Trading Strategy for XAUUSD (Gold) – Automated Execution PlanTrading Strategy for XAUUSD (Gold) – Automated Execution Plan
Improved Momentum and Pivot Reversal StrategyI don't really know. AI helped me make this. Its based on taking trades based on the overall trend of the market while finding entries based on pivot points.
Volatility+PSAR+OB Insight Pro [Musa]Indikator ini berasal dari indicator "Volatility Insight Pro" yang dibuat oleh Henri Hendrata dalam e-booknya "Profit Konsisten dari Trading Harian Saham", yang dirancang untuk membantu trader memahami dinamika pasar dengan cara yang lebih sederhana.
Indikator ini menggabungkan analisis volume, volatilitas, dan momentum untuk memberikan gambaran yang jelas
tentang potensi pergerakan harga.
Volume profile digunakan untuk mengidentifikasi area support dan resistance berdasarkan aktivitas perdagangan terbesar, sementara ATR dan RSI membantu menilai volatilitas dan kondisi pasar (overbought/oversold).
Kemudian kami mengembangkan lebih lanjut indicator ini dengan menambahkan:
1) Tampilan 3 garis MA untuk menggambarkan dinamika trend jangka pendek, menengah dan Panjang.
2) Sinyal Beli dan Jual, memakai indicator Parabolic SAR, MACD dan MA, serta
3) Identifikasi Order Block untuk mendeteksi jejak Smart Money.
This indicator is derived from the "Volatility Insight Pro" indicator created by Henri Hendrata in his e-book "Profit Konsisten dari Trading Harian Saham". It is designed to help traders understand market dynamics in a simpler way.
This indicator combines volume, volatility, and momentum analysis to provide a clear picture of potential price movements.
Volume profile is used to identify support and resistance areas based on the highest trading activity, while ATR and RSI help assess volatility and market conditions (overbought/oversold).
We have further developed this indicator by adding:
1) A display of 3 MA lines to illustrate the dynamics of short-term, medium-term, and long-term trends.
2) Buy and sell signals, using Parabolic SAR, MACD, and MA indicators, and
3) Order Block Identification to trace the Smart Money Plot.
Volatility+PSAR+OB Insight Pro [Musa]Indikator ini berasal dari indicator "Volatility Insight Pro" yang dibuat oleh Henri Hendrata dalam e-booknya "Profit Konsisten dari Trading Harian Saham", yang dirancang untuk membantu trader memahami dinamika pasar dengan cara yang lebih sederhana.
Indikator ini menggabungkan analisis volume, volatilitas, dan momentum untuk memberikan gambaran yang jelas
tentang potensi pergerakan harga.
Volume profile digunakan untuk mengidentifikasi area support dan resistance berdasarkan aktivitas perdagangan terbesar, sementara ATR dan RSI membantu menilai volatilitas dan kondisi pasar (overbought/oversold).
Kemudian kami mengembangkan lebih lanjut indicator ini dengan menambahkan:
1) Tampilan 3 garis MA untuk menggambarkan dinamika trend jangka pendek, menengah dan Panjang.
2) Sinyal Beli dan Jual, memakai indicator Parabolic SAR, MACD dan MA, serta
3) Identifikasi Order Block untuk mendeteksi jejak Smart Money.
This indicator is derived from the "Volatility Insight Pro" indicator created by Henri Hendrata in his e-book "Profit Konsisten dari Trading Harian Saham". It is designed to help traders understand market dynamics in a simpler way.
This indicator combines volume, volatility, and momentum analysis to provide a clear picture of potential price movements.
Volume profile is used to identify support and resistance areas based on the highest trading activity, while ATR and RSI help assess volatility and market conditions (overbought/oversold).
We have further developed this indicator by adding:
1) A display of 3 MA lines to illustrate the dynamics of short-term, medium-term, and long-term trends.
2) Buy and sell signals, using Parabolic SAR, MACD, and MA indicators, and
3) Order Block Identification to trace the Smart Money Plot.
20 EMA Cross Alert - rg20-Period EMA Crossover Strategy: Detailed Explanation
The 20-period Exponential Moving Average (EMA) crossover strategy is a popular technical analysis technique used in trading to identify potential trend changes and generate trading signals. It leverages the properties of the EMA, which gives more weight to recent price data, making it more responsive to price fluctuations compared to a Simple Moving Average (SMA). The core principle is to analyze the relationship between the current market price and the 20-period EMA:
Buy Signal (Bullish Crossover): When the current price of an asset crosses above the 20-period EMA, it suggests that bullish momentum is increasing. This can be interpreted as a potential buy signal, indicating that the asset's price may be starting an uptrend. Traders might enter a long position (buying the asset) in anticipation of further price appreciation.
Sell Signal (Bearish Crossover): When the current price crosses below the 20-period EMA, it suggests that bearish momentum is increasing. This can be interpreted as a potential sell signal, indicating that the asset's price may be starting a downtrend. Traders might enter a short position (selling the asset) or exit existing long positions in anticipation of further price decline.
How the Strategy Works
Calculate the 20-Period EMA: The EMA is calculated using a formula that incorporates the closing price of the asset over the specified period (in this case, 20 periods) and a smoothing factor. The formula is as follows:
EMA=(Price−EMAprevious)∗SmoothingFactor+EMApreviousEMA = (Price - EMA_{previous}) * SmoothingFactor + EMA_{previous}EMA=(Price−EMAprevious)∗SmoothingFactor+EMAprevious
where:
PricePricePrice is the current closing price.
EMApreviousEMA_{previous}EMAprevious is the EMA value from the previous period.
SmoothingFactor=2TimePeriods+1SmoothingFactor = \frac{2}{TimePeriods + 1}SmoothingFactor=TimePeriods+12 (For a 20-period EMA, SmoothingFactor = 2/21).
The initial EMA value is often calculated using a Simple Moving Average (SMA) for the first 20 periods.
Identify Crossovers: The strategy focuses on the points where the price crosses the 20-period EMA. We look for two types of crossings:
Price crosses above EMA: Bullish signal
Price crosses below EMA: Bearish signal
Generate Trading Signals: Based on the crossovers, trading signals are generated. As described above:
Buy Signal: Price crosses above the 20-period EMA.
Sell Signal: Price crosses below the 20-period EMA.
Alert Generation Logic
We can create alerts to notify us of the crossover events. Here's the logic:
Track the Price and EMA Values: Keep track of the current and previous closing prices and the 20-period EMA values.
Check for Crossovers:
Bullish Crossover Alert: If the current closing price is greater than the 20-period EMA and the previous closing price was less than or equal to the 20-period EMA (meaning it crossed over), then generate a "Buy" alert.
Bearish Crossover Alert: If the current closing price is less than the 20-period EMA and the previous closing price was greater than or equal to the 20-period EMA (meaning it crossed under), then generate a "Sell" alert.
Timeframe Display Table with CustomizationsPlaces a single cell table in the top right of the chart to display the currently viewed timeframe at all times on the chart.
Analyse Cycle Bollinger Bands - 4 PhasesVoici un script Pine Script qui analyse l’évolution des bandes Bollinger en découpant le cycle en 4 phases :
Phase 1 (Consolidation) : Les bandes sont proches et quasiment parallèles.
Phase 2 (Divergence) : Les bandes commencent à s’écarter, l’une monte et l’autre descend. La phase 2 se termine dès qu’une des bandes amorce une inversion.
Phase 3 (Tendance) : Les deux bandes évoluent dans la même direction. Cette phase se termine dès que la deuxième bande change de sens.
Phase 4 (Convergence) : Les bandes se rapprochent jusqu’à atteindre leur écart minimal, moment auquel le cycle recommence en phase 1.
Le script trace également, pour chaque transition, une ligne verticale allant de la bande inférieure à la bande supérieure et remplit l’espace entre les bandes d’une couleur translucide caractéristique à la phase en cours
Explications détaillées
Calcul des Bollinger Bands
Le script calcule la moyenne simple (basis) sur une période définie (par défaut 20) et ajoute ou soustrait un multiple (par défaut 2) de l’écart-type pour obtenir respectivement la bande supérieure et la bande inférieure. La variable bandWidth correspond à l’écart entre ces deux bandes.
Calcul des pentes
On calcule la variation d’une barre à l’autre pour chaque bande (slopeUpper et slopeLower). Ces pentes serviront à déterminer si une bande monte ou descend d’une barre à l’autre.
Machine à états (state machine)
Le script utilise une variable phase qui prend successivement les valeurs 1, 2, 3 ou 4 selon l’évolution des bandes.
Phase 1 (Consolidation) : On attend que les bandes, jusque-là proches et parallèles, commencent à s’écarter (pente positive pour la supérieure et négative pour l’inférieure, et écart qui augmente).
Phase 2 (Divergence) : Dès qu’une des bandes inverse (passage de la pente positive à négative pour la supérieure, ou négative à positive pour l’inférieure), on passe en phase 3 et on enregistre laquelle a inversé.
Phase 3 (Tendance) : On reste en phase 3 jusqu’à ce que la deuxième bande (celle qui n’avait pas encore inversé) change de direction, ce qui marque le passage en phase 4.
Phase 4 (Convergence) : On suit la diminution de l’écart entre les bandes. Lorsque cet écart atteint un minimum local (sur 10 barres), le cycle est considéré terminé et on retourne en phase 1.
Affichage graphique
Les bandes Bollinger sont tracées (avec une couleur bleue pour les bandes et grise pour la moyenne).
L’espace entre les bandes est rempli d’une couleur translucide qui change selon la phase (bleu, vert, orange ou rouge).
À chaque changement de phase, une ligne verticale (dessinée de la bande inférieure à la bande supérieure) est tracée avec la couleur caractéristique de la nouvelle phase.
Un label indique également sur le graphique le numéro de la phase en cours.
Ce script vous permettra d’observer visuellement la segmentation du cycle des Bollinger Bands en 4 phases. Vous pourrez par exemple l’utiliser pour adapter votre stratégie en fonction de la dynamique des bandes.
Heikin-Ashi Buy Signal on uptrending RSI.Heikin-Ashi Buy Signal on uptrending RSI, no signals on RSI below 50 and above 70
Timeframe automatically adjusted EMAs and SMAs
KBT Sessions H/L(Distinct Sessions)An indicator to keep an eye on all the trading sessions and probably everything a forex trader needs.
It includes
1). The session highlights.
2). Session high/low.
3). Enable Label over high/low
To understand the labels here are the details
1). S for Sydney
2). T for Tokyo
3). F for Frankfurt
4). L for London
5). N for Newyork
If there is a combined high/low for multiple sessions then it will be shown with various letters in the labels for example "TFL" means Tokyo, Frankfurt, and London combined high/low.
Smart Adaptive Signal SystemSmart Adaptive Signal System
Description: The Smart Adaptive Signal System is a sophisticated indicator that generates intelligent buy/sell signals by dynamically adapting to market conditions. It predicts target prices based on momentum and volatility, providing more accurate and reliable trading opportunities.
How It Works:
Dynamic Signal Generation: The system predicts target prices by considering factors such as volatility and momentum. This allows it to react instantly to trend changes and market fluctuations.
Adaptive Thresholds: Buy and sell signals are triggered with adaptive thresholds, adjusting according to market volatility. This ensures flexibility in the face of sudden market changes.
Trend-Based Reset: Users can choose to reset threshold values based on a time interval or trend change. This feature helps the system re-adapt to current market conditions for greater accuracy.
Target Price Prediction: Target prices are calculated using momentum and volatility, helping the system predict future price movements.
How to Use:
Buy/Sell Signals: The indicator generates buy and sell signals based on market conditions. Look for a "down arrow" for a buy signal and an "up arrow" for a sell signal on the chart.
Target Price Lines: Along with buy and sell signals, the system draws target price lines. This helps you visualize potential future price levels.
Flexible Settings: Users can customize analysis periods, minimum change percentages, and other parameters to fit their needs.
Features:
Dynamic buy and sell signals
Target price predictions
Volatility and momentum-based analysis
User-friendly and flexible settings
Trend-based adaptive resetting
Alerts: The Smart Adaptive Signal System responds quickly to sudden market changes, but always use it in conjunction with other indicators like support and resistance levels. Signal accuracy may vary depending on market conditions.
RSI of Accumulation/DistributionHow to Use the RSI of Accumulation/Distribution Indicator:
1. Identify Overbought/Oversold Conditions:
Overbought: When the RSI of the ADL is above 70, it indicates that the asset may be overbought and could be due for a pullback or correction.
Oversold: When the RSI of the ADL is below 30, it suggests that the asset may be oversold and could be poised for a rebound.
2. Look for Divergences:
Bullish Divergence: If the price is making lower lows while the RSI of the ADL is making higher lows, it can signal a potential reversal to the upside.
Bearish Divergence: If the price is making higher highs while the RSI of the ADL is making lower highs, it can indicate a potential reversal to the downside.
3. Confirm Trend Strength:
Use the RSI of the ADL to confirm the strength of a trend. For example, if the RSI is consistently above 50 during an uptrend, it suggests strong buying pressure and the trend is likely to continue.
Conversely, if the RSI is consistently below 50 during a downtrend, it indicates strong selling pressure and the trend is likely to persist.
4. Monitor for Reversals:
When the RSI of the ADL crosses above 50, it can signal a potential bullish reversal.
When the RSI of the ADL crosses below 50, it can signal a potential bearish reversal.
Is It Worth It?
The RSI of the Accumulation/Distribution Line can be a valuable tool for traders looking to gain insights into market momentum and trend strength. Here are a few reasons why it might be worth considering:
1. Volume and Price Combination: By combining price action (RSI) with volume-based analysis (ADL), this indicator provides a more comprehensive view of market dynamics.
2. Divergence Detection: It helps identify divergences between price and volume, which can be early signals of potential reversals.
3. Trend Confirmation: It offers additional confirmation of trend strength and potential reversal points, helping traders make more informed decisions.
However, like any indicator, it's important to use it in conjunction with other analysis methods and not rely on it solely for trading decisions. Backtesting the indicator on historical data and combining it with other technical analysis tools can improve its effectiveness.
Feel free to test the script in TradingView and see how it performs in different market conditions. If you have any specific questions or need further assistance, let me know! 😊
Volume Delta Imbalance Index [PhenLabs]📊 Volume Delta Imbalance Index (VDII)
Version: PineScript™ v6
Description
The Volume Delta Imbalance Index is an advanced technical analysis tool that combines volume profile analysis with price movement dynamics to identify significant market imbalances. It features a sophisticated analysis system that weighs recent versus historical volume delta imbalance patterns, providing traders with insights into potential market reversals and trend continuation scenarios.
Points of Innovation:
Custom volume delta calculation incorporating price and volume relationships
Adaptive smoothing system based on market volatility
Multi-component analysis combining flow, acceleration, and strength metrics
Real-time volume profile integration with historical context
🔧 Core Components
Volume Profile Analysis: Dynamic volume delta imbalance distribution assessment
Flow Imbalance Detection: Buy/sell pressure evaluation
Strength Analysis: Composite market strength measurement
Acceleration Framework: Volume movement dynamics
Statistical Bands: Adaptive threshold system
🚨 Key Features 🚨
The indicator provides comprehensive analysis through:
Volume Delta: Up to date volume imbalance measurement
Market Structure: Support/resistance level identification
Flow Analysis: Buy/sell pressure visualization
Acceleration Signals: Movement momentum detection
Adaptive Bands: Dynamic overbought/oversold levels
📈 Visualization
Color-coded Columns: Shows direction and strength of imbalance
Signal Lines: Strong buy/sell level indicators
Statistical Bands: Shows normal trading ranges
Gradient Fills: Indicates extreme market conditions
Dynamic Opacity: Reflects trend strength
📌 Usage Guidelines
The indicator offers several customization options:
Basic Settings:
Lookback Period: Analysis timeframe adjustment
Sensitivity Level: Signal response calibration
History Depth: Historical context range
Memory Setting: Recent vs. historical data weight
Visual Settings:
Color Scheme: Bullish/bearish signal colors
Signal Levels: Strong buy/sell thresholds
Band Display: Statistical range visualization
✅ Best Use Cases / Things To Look For:
Wait for establishment in the initial trend when the VDII comes back towards zero and the color of the volume becomes more faint
Once this is established and the VDII pushes through to the other side look for small retracements above the zero line on the VDII leading you to believe it is a likely area for price to retrace and continue in its prior direction
Make sure you see the volume bars become more faint in color to give yo further confluence price will continue in its priorly established direction
⚠️ Limitations
Requires sufficient volume data
Most effective in liquid markets
Historical depth affects calculation speed
Possible lag in highly volatile conditions
What Makes This Unique
Composite Volume Analysis: Combines multiple volume metrics
Adaptive Calculation: Adjusts to market volatility
Profile Integration: Incorporates volume profile analysis
Multi-component Scoring: Weighted analysis system
Memory-efficient Design: Optimized for real-time analysis
🔧 How It Works
The indicator processes market data through four main components:
1. Volume Profile Analysis:
Creates dynamic volume delta distribution profiles
Weights recent versus historical data
Identifies significant price levels
2. Flow Imbalance Detection:
Analyzes buying versus selling pressure
Calculates normalized flow ratios
Determines market bias
3. Strength Analysis:
Measures composite market strength
Incorporates volume-weighted movements
Provides trend strength indication
4. Final Score Calculation:
Combines all components with weighted importance
Applies volatility-based smoothing
Generates final signal output
5. VDII Potential Reversal Confluences
Bars between signal confluence is default set to 10 but you can change it to whatever you’d prefer
Signals are a compiled look at the indicator as a whole determining where it think reversals or retracements are likely
💡 Note:
The indicator performs best in markets with consistent volume and clear trending or ranging conditions. Its sophisticated volume analysis provides valuable insights into market dynamics beyond traditional price-based indicators.
1/2/4 Moving Average STR 1.0.0A simple indicator that uses 1/2/4 SMA for Buy and Sell signals.
Buy signal: both 1 and 2 SMAs cross over the 4 SMA on the same bar.
Sell signal: both 1 and 2 SMAs cross under the 4 SMA on the same bar.
Can be coupled with TRP for better view.
YXL-INDEX Weinstein Stage Analysis斯坦·韦恩斯坦的阶段分析是一种方法，旨在根据股票价格运动的生命周期来确定最佳的买入和卖出时机。以下是四个阶段的简要概述：
阶段1：筑底区 - 股票在下跌趋势后横向移动，形成基础。这是股票价格整合的积累期，没有明确的趋势。股票在30周移动平均线（现在通常用40周或200日移动平均线取代）附近波动。
阶段2：上升阶段 - 股票在显著成交量下从基础突破，标志着新的上升趋势。价格超过移动平均线，移动平均线开始向上倾斜。这个阶段被认为是买入的最佳时机，因为预计股票将继续上升。
阶段3：顶部区 - 在一段显著的上涨后，股票开始平稳或再次横向移动。移动平均线开始平坦，股票可能会在该平均线上方和下方交易。这一阶段表明上升动能正在减弱，是时候准备卖出或获利了。
阶段4：下降阶段 - 股票从阶段3的整合中突破下行，进入下跌趋势。价格持续低于移动平均线，移动平均线现在向下倾斜。此阶段的特点是持续的低点和低点，建议退出或进行空头操作。
韦恩斯坦的方法在他的《在牛市和熊市中获利的秘诀》一书中详细描述，他还讨论了这些阶段如何适用于不同的市场环境，不仅是单个股票，还有行业和指数。
随着时间的推移，这一方法已经得到改进，一些从业者使用不同的移动平均线或增加更细致的解释，如子阶段（例如1A、1B、2A等，以进行更详细的分析）。
对那些有兴趣应用阶段分析的人来说，像阶段分析筛选器这样的工具或在TradingView等平台上的指标可以自动化地根据价格和成交量数据识别阶段。然而，理解韦恩斯坦教导的基本原则对于有效应用仍然至关重要。
请记住，虽然阶段分析可以提供交易时间的框架，但它只是众多工具中的一种，应该结合其他分析形式（如基本面分析）和风险管理策略一起使用。
