Quantoshi Global Liquidity StrategyThis strategy leverages global liquidity data alongside technical indicators like the Rate of Change (ROC) and Double Exponential Moving Average (DEMA) to identify optimal long-entry points during major market trends. The script is designed to capture long-term, sustained momentum and includes built-in risk management by filtering out rapid price spikes. It is best suited for swing trading or long-term trend trading.
Key Features:
Global Liquidity Data:
The strategy incorporates data from major global central banks and M2 money supply to calculate a comprehensive liquidity index, which is a critical component for long-term trend detection.
ROC-DEMA Crossover:
It combines the Rate of Change (ROC) and a 100-period Double Exponential Moving Average (DEMA) to identify momentum shifts. Long entries are triggered when these indicators confirm an upward trend.
Price Thresholds:
The strategy compares the current price to the price from several candles ago to ensure positions are not entered during unsustainable price surges.
Custom Alerts:
Automated alerts for long entries and exits allow users to automate their trades or receive timely notifications when market conditions are met.
How It Works:
The strategy enters long positions when ROC and DEMA signals confirm a positive trend, and the price conditions suggest a sustainable upward momentum. Long exits occur when the momentum reverses, with a clear crossover signal of ROC below DEMA. Custom alert messages make it ideal for automated trading setups.
Why It's Unique:
This strategy combines liquidity data with technical indicators to filter noise and focus on significant market shifts. It allows traders to capture major trend reversals without needing to actively monitor the charts, making it useful for those focused on swing or long-term trading.
Backtesting & Risk Management:
Given its long-term focus, this strategy generates only a few signals per decade when used on a weekly timescale. As a result, traditional backtesting show few trades, but historical analysis reveals its effectiveness in capturing major market movements.
Account Size:
The backtest is based on a $1,000 account size to represent a realistic trading scenario.
Commissions & Tick size: Commission fees of 0.1% and a tick size of 100 are applied to reflect real-world trading conditions.
Trade Size:
Risk per trade is limited to 5% of the account balance to align with sound risk management practices.
Komut dosyalarını "momentum" için ara
Breadth Thrust Strategy with Volatility Stop-LossThe "Breadth Thrust Strategy with Volatility Stop-Loss" is a trading strategy designed to capitalize on market momentum while managing risk through volatility-based stop-losses. Here's a detailed breakdown of the strategy:
Strategy Overview:
Market Breadth Analysis: The strategy uses the "Breadth Thrust Indicator," which evaluates market momentum by calculating the ratio of advancing stocks to the total number of stocks on the New York Stock Exchange (NYSE). This indicator helps identify bullish market conditions. An optional feature allows for the inclusion of volume data in this calculation, enhancing the signal's robustness.
Signal Generation: A long position is triggered when the smoothed breadth ratio (or the combined breadth and volume ratio) crosses above a specified low threshold (e.g., 0.4). This crossover indicates a potential shift towards positive market momentum.
Key Parameters:
Smoothing Length (length): Defines the period over which the breadth or combined ratio is smoothed using a simple moving average (SMA) to reduce noise and highlight the underlying trend.
Low Threshold (threshold_low): The level below which the smoothed ratio must fall before crossing back above to trigger a long signal.
Hold Periods (hold_periods): The minimum number of periods for which the position will be held once entered, ensuring the strategy captures a meaningful move.
Volatility Multiplier (volatility_multiplier): A multiplier applied to the Average True Range (ATR) to determine the distance of the stop-loss from the entry price, which adjusts according to market volatility.
Trade Management:
Entry Signal: The strategy enters a long position when the smoothed combined ratio crosses above the low threshold, signaling a potential bullish reversal.
ATR-Based Stop-Loss: Upon entering a trade, the strategy calculates a stop-loss level based on the ATR, which measures market volatility. The stop-loss is set at a distance from the entry price, determined by multiplying the ATR by the specified volatility multiplier. This adaptive stop-loss mechanism helps protect the position from adverse market moves.
Stop-Loss Adjustment: While the position is open, the stop-loss level is dynamically updated, ensuring it never decreases (trailing stop-loss effect) but can be adjusted upwards to reflect the latest price action relative to volatility.
Position Closure: The position is closed if:
The market price falls to or below the stop-loss level.
The position has been held for the specified number of periods (hold_periods), after which it is automatically closed.
Additional Settings:
Initial Capital: The strategy starts with an initial capital of $10,000.
Commissions and Slippage: Each trade incurs a commission of $5 per order, and slippage is accounted for at $1 per trade.
Background Highlighting: The chart background turns green when a position is open, providing a clear visual indication of the active trade.
This strategy is designed to identify and capitalize on upward momentum in the market while employing a volatility-adjusted stop-loss to manage risk. By combining market breadth analysis with volatility-based stop-losses, the strategy aims to balance profit potential with protection against sudden market reversals.
Inside Candle StrategyIntroduction
The Inside Candle Breakout Strategy leverages the concept of inside candles as a primary signal for potential breakouts. Unlike common trend-following or scalping strategies, this method focuses on the volatility squeeze indicated by inside candles and aims to capture the momentum that follows these periods of consolidation. The strategy's originality lies in its specific integration of timeframes for signal detection and its application across diverse market conditions without relying on conventional trend indicators.
Strategy Description and Mechanics
Inside Candle Identification: At the heart of this strategy is the detection of inside candles, defined as candles fully contained within the range of the preceding candle. This pattern signifies a temporary balance between buyers and sellers, often preceding significant price movements. The strategy scans for these candles within a user-specified timeframe in the input section of the settings of the strategy, allowing for tailored signal generation based on individual trading preferences.
Entry Points and Market Entries: Upon identifying an inside candle and only once this candle closes, the strategy prepares to enter a trade in the direction of the breakout. Trades are executed in the timeframe selected on the chart, ensuring that entry points are aligned with real-time market movements. This process highlights the strategy's adaptability, making it suitable for various trading styles, from day trading to swing trading.
Overlay Indicator for Enhanced Market Analysis: Accompanying the breakout signals is an overlay indicator comprising two moving averages and a volatility cloud. This feature serves as a secondary tool for market analysis, offering insights into the prevailing market trend and volatility levels. While it doesn't influence the entry or exit signals directly, it provides traders with additional context for refining their decisions, enhancing the strategy's utility. This assistance tool is composed by one moving average and a second line which is calculated adding or subtracting the historical volatility of the asset on the moving average, depending on his momentum.
Strategy Results and Commitment to Realism
Backtesting Protocol: In our commitment to transparency and realism, backtesting results are derived from a dataset that ensures a sufficient number of trades (over 100) to validate the strategy's effectiveness. This approach underscores our dedication to providing traders with reliable and actionable insights.
Risk Management and Trade Sizing: Recognizing the importance of sustainable trading practices, the strategy incorporates strict risk management guidelines. Trades are sized to ensure that only a small percentage of equity is risked on a single trade, adhering to widely accepted risk tolerance levels. The initial account size for this script is set to 10000$.
Strategy Defaults and Justification: The default properties of the strategy, including the risk-reward ratio, average length for moving averages, and other parameters, are carefully chosen based on extensive testing and analysis. These settings represent a balanced approach, aiming to optimize the strategy's performance across a variety of market conditions.
Strategy Components:
- Inside Candles: An inside candle occurs when a candle's high and low are completely contained within the high and low of the previous candle. This pattern indicates a period of consolidation or indecision in the market, often preceding a significant price movement. The strategy detects inside candles based on the user-selected timeframe, allowing traders to capture potential breakouts.
Indicator Overlays:
- Moving Average: A simple moving average (SMA) is calculated over a user-defined length (`Average Length`), providing a dynamic baseline to gauge the market's direction. The strategy offers an option (`Show Moving Average`) to display or hide this moving average on the chart, giving traders control over the visual complexity.
- Volatility Measurement: Alongside the moving average, the strategy assesses market volatility using the standard deviation of the closing prices over the same period defined by the `Average Length`. The moving average is adjusted upwards or downwards by this volatility measure, creating a dynamic channel that reflects the current market conditions.
- Color Gradients for Volatility: The strategy uses a color gradient to fill the area between the moving average and its volatility-adjusted counterpart. This gradient visually represents the volatility level, transitioning from gray (low volatility) to a lighter shade (higher volatility), aiding in the assessment of market sentiment and volatility.
Trading Entries:
- Long Entry: A long position is triggered when the closing price exceeds the high of an inside candle, indicating potential bullish momentum. The strategy places a stop-loss at the low of the inside candle and sets a take-profit level based on the predefined risk-reward ratio (`RR Ratio`).
- Short Entry: Conversely, a short position is initiated when the closing price falls below the low of an inside candle, suggesting bearish pressure. A stop-loss is set at the high of the inside candle, with the take-profit level adjusted according to the risk-reward ratio.
Customization Settings:
- Timeframe: Traders can select the desired timeframe for inside candle detection, tailoring the strategy to fit various trading styles and time horizons.
- RR Ratio: The risk-reward ratio is adjustable, allowing traders to manage the potential risk and return of each trade according to their risk tolerance.
- Average Length: This setting determines the period over which the moving average and volatility are calculated, affecting the sensitivity of the strategy to price movements.
- Visual Settings: Users can customize the appearance of the strategy on their charts, including the colors of the moving average and volatility lines, as well as the line width, enhancing chart readability and personal preference adherence.
Disclaimer
Trading involves significant risk, and it is crucial for traders to conduct their own due diligence before engaging with any strategy. The Inside Candle Breakout Strategy is presented for informational purposes only and does not constitute financial advice.
CULTURATRADING STRATEGYThe "CULTURATRADING STRATEGY" is designed to capitalize on market trends by incorporating a combination of technical indicators that signal potential entry and exit points for trades on various assets. This strategy is not just a mere collection of indicators but a well-thought-out approach that synergizes different market signals to optimize trade decisions.
The script uses the MACD (Moving Average Convergence Divergence) to gauge momentum and trend direction, with the slope of the MACD line serving as a trigger for market entries. A positive slope suggests an upward trend and potential long entry, while a negative slope indicates a downward trend and a possible short entry.
In tandem with the MACD, the ADX (Average Directional Index) is utilized to measure the strength of the trend. An ADX value above 25 signifies a strong trend, which, when aligned with MACD signals, can validate the trade entries.
The RSI (Relative Strength Index) is another critical component, identifying overbought and oversold conditions. This strategy looks for crossovers above and below key levels (60 for overbought, 40 for oversold) to determine high-probability turning points in the market. The inclusion of a 20-period SMA (Simple Moving Average) of the RSI adds a layer to filter the signals further, allowing for the refinement of entry and exit points.
The script employs a dynamic stop-loss system, set at the lowest low of the past 20 bars for long positions and the highest high for shorts, to manage risk effectively. The strategy is configured for a $10,000 account, risking a reasonable portion of capital per trade, with a pyramid effect to allow for diversified entries from various signals. The backtesting results are based on a 5% capital allocation per trade and include a 0.08% commission. To ensure accurate backtesting, the script includes an additional percentage to account for slippage within the commission.
To provide a comprehensive understanding, the script also outputs a "volatility histogram" based on the ADX, offering insights into market volatility and helping to time the trades better.
This strategy has been backtested across different timeframes and assets, showing resilience in various market conditions. It is essential to check the 'recalculate after order filled' option due to the dynamic nature of stop-loss orders.
This script is paired with the "CULTURATRADING INDICATOR" for enhanced signal clarity, providing a holistic view of the strategy's performance. Please note that this script is for educational purposes and should not be taken as financial advice.
The "CULTURATRADING INDICATOR" is an essential tool that works in conjunction with the "CULTURATRADING STRATEGY" to provide traders with a clear visualization of the market's conditions. It enhances the strategy by offering visual cues that help interpret complex market data more intuitively.
The indicator displays key RSI levels, such as 60 for overbought conditions and 40 for oversold conditions, with a mid-level at 55 to indicate when a trend may be weakening. The colors on the RSI line change to reflect these conditions, offering a quick reference for traders: a blue color signifies an RSI above 60, indicating overbought conditions; a red color shows an RSI below 40, pointing to oversold conditions; and white represents values in between, suggesting a neutral state.
Moreover, the volatility histogram, which is part of the "CULTURATRADING INDICATOR," provides a visual representation of market volatility. The histogram changes colors based on the ADX value and the slope of the MACD line. For instance, a green histogram suggests a positive MACD slope during a strong trend, indicating potential bullish momentum. Conversely, a red histogram implies a negative MACD slope during strong trends, hinting at bearish momentum. A grey color might be used to represent periods when the trend is weak or the market is less volatile.
Together, these visual elements of the "CULTURATRADING INDICATOR" complement the strategy's signals, providing traders with an at-a-glance summary of the current market scenario, which can be particularly useful when managing multiple trades or assessing opportunities quickly.
Please remember, this script and its associated indicator are designed to serve as educational tools to assist in understanding market dynamics and are not intended as financial advice. Always conduct your own research and consider consulting a financial advisor for personalized guidance.
Single Swing Strategy (SSS)Introduction
The Single Swing Strategy (SSS) is a trading strategy designed for assets that trend. It utilises a single technical indicator to identify potential buying opportunities in upward-trending markets. The strategy focuses on moments when the price of an asset breaks out to a new high, suggesting a strong upward momentum.
Components
1. Exponential Moving Averages (EMAs): SSS uses two EMAs to evaluate the overall asset trend. SSS describes an uptrend as identified, when the fast EMA crosses above the slow EMA and vice versa for a downtrend.
2. Breakout: The strategy validates the trend identified by the EMAs through breakouts in the price action of the asset over a specified lookback period. No indicator is required for this step.
3. Average Directional Index (ADX): The ADX is used to measure the strength of a trend. It does not indicate the trend's direction but rather its strength, whether it's an uptrend or downtrend. A high ADX value (typically above 25) suggests a strong trend, either up or down while a low ADX value (typically below 20) indicates a weak or non-trending market. The ADX itself is a moving average of the expanding range between the +DI and -DI.
4. Positive Directional Indicator (DI+): DI+ helps identify the presence and strength of uptrends. It is calculated based on the upward price movement between current and previous highs. A rising DI+ alongside a rising ADX suggests a strengthening uptrend. When DI+ crosses above DI-, it's often interpreted as a bullish signal.
5. Negative Directional Indicator (DI-): DI- is used to detect the presence and strength of downtrends.It is derived from the downward price movement between current and previous lows. An increasing DI- along with a rising ADX indicates a strengthening downtrend while a crossover of DI- above DI+ is typically seen as a bearish signal.
How it works
1. Regime filter with ADX, DI+, and DI-: The first step in taking a trade is to determine the direction of the trend using the +DI. If in an uptrend, the strategy checks if the ADX is above 25 to confirm a strong uptrend. -DI is not used since the strategy is long only. If in an uptrend and the trend is strong, trades can be opened.
2. Trend Identification with EMAs: Initially, the strategy uses two Exponential Moving Averages (fast and slow) to determine the asset trend. A fast EMA crossing above the slow EMA signifies an uptrend, and vice versa for a downtrend. This is the Entry signal to open a long position.
3. Trend Confirmation with Breakout: The strategy confirms the EMA-indicated trend through price breakouts over a specified lookback period. An EMA crossover without a price action breakout does not lead to an entry signal
4. Trade Management: After entering a trade, the strategy uses predefined levels for taking profit and setting stop losses. Trades are closed either when the price reaches the take-profit level or falls to the stop-loss level. Hence, risk management is built in.
Results
The backtest results can be found below. Initial capital of 10000 was used, this is a convenient amount for most retail traders, commission of $3 per order, position size of 3% of initial capital and slippage of 3 ticks. These are all representative of real world retail trading conditions.
Originality
The Single Swing Strategy (SSS)'s originality is in its blending of classical technical analysis; Trend Analysis through EMAs and Price Action through Breakout, into an innovative trading logic.
1. The Essence of Trend and Breakout in SSS
(i) Trend Recognition: At the heart of SSS is the Exponential Moving Averages (EMAs). While the use of EMAs is common, SSS employs them for trend analysis so an entry decision can be made. The strategy's core algorithm assesses the inception of an upward trend by observing a specific crossing pattern of the EMAs, a moment where the asset's momentum shifts, offering a strategic advantage.
(ii) Breakout Significance: The strategy's reliance on price breakouts isn't just about identifying a new high; it's about understanding market psychology. A breakout beyond a previous high signals not only momentum but also a collective market sentiment that favors upward movement. SSS attempts to capture this momentum, translating it into a tangible trading opportunity.
(iii)Strength of trend: The ADX and +DI double checks the trend is in the right direction and checks to see if the trend is strong enough hence, it prevents trading when the trend is not supportive.
2. Simplicity as a Cornerstone
(i) Clarity and Efficiency: In the realm of algorithmic trading, complexity isn't always synonymous with effectiveness. SSS' simplicity ensures its logic is transparent and its execution, efficient. This simplicity is a strategic choice, designed to reduce overfitting to past data and improve adaptability to real-market conditions.
(ii) Ease of Use and Decision Making: The straightforward nature of SSS may empower traders to make informed decisions without being overwhelmed by convoluted indicators. This is particularly useful because of the embedding of risk management using defined exit points after entry through a Take Profit and Stop Loss. This hardcodes a 3:1 risk reward ratio into every trade.
3. Positive Expectancy
(i) Performance Metrics: The SSS strategy shows its edge in its backtesting results. A 62% win rate, a profit factor of 1.7, profit ratio of 1.05 and an average trade gain of 4.7% are not just numbers; they show the mathematical edge over the backtest period, especially considering the high commissions and slippage factored into its design.
Trading
The SSS strategy has been backtested on the 1D timeframe of BTCUSD but users are encouraged to try it on other assets such as SPXL (5min), AAPL (5min) and others but the appropriate timeframe and trading costs may vary.
NOTE
Like any trading strategy, SSS does not guarantee profits. It's a tool to assist in decision-making, not a foolproof solution. Trading involves risks, particularly in volatile markets. Users should trade responsibly, considering their risk tolerance and financial situation. While SSS automates some aspects of trading, it requires continuous monitoring and does not replace the need for sound judgement and decision-making by the trader.
Price Action - Support & Resistance + MACD LONG StrategyUsing "Price Action - Support & Resistance by DGT" and the MACD (Moving Average Convergence Divergence) indicator in TradingView can help develop a trade strategy. Here's a step-by-step approach you can follow:
1. Identifying Support and Resistance Levels: Apply the "Price Action - Support & Resistance by DGT" indicator to your chart. This indicator helps you identify key support and resistance levels based on price action. These levels act as potential areas where the price may reverse or consolidate.
2. Confirming Support and Resistance Levels: Once the indicator has plotted support and resistance levels on your chart, analyze the historical price action around these levels. Look for multiple touches or bounces from the same level, which adds strength to the support or resistance zone.
3. Analyzing the MACD Indicator: Add the MACD indicator to your chart. The MACD consists of two lines: the MACD line and the signal line, along with a histogram representing the difference between the two lines. The MACD helps identify momentum and potential trend reversals.
When the MACD line crosses above the signal line and the histogram turns positive, it suggests bullish momentum.
4. Identifying Trade Opportunities:
Bullish Trade: Look for a bullish setup when the price approaches a strong support level identified by the "Price Action - Support & Resistance by DGT" indicator. Wait for the MACD lines to cross above the signal line and the histogram to turn positive, indicating bullish momentum. Enter a long position with a stop loss below the
support level.
Managing the Trade: Once you enter a trade, consider setting a target based on the distance between your entry point and the nearest significant support or resistance level. You can also use trailing stop losses or other risk management techniques to protect your profits and limit potential losses.
Remember that no trading strategy is guaranteed to be successful, and it's important to practice proper risk management and conduct thorough analysis before making any trading decisions. Additionally, it's recommended to backtest and demo trade this strategy before using it with real money.
tvbot Trend Following with Mean Reversion algoDefault settings are for the ETHUSDT 5 min Binance Chart regular candles.
Back test Default settings are 10,000 usd to start, Commission 0.075%, capital deployment per position is 10%, slippage value of 1.
This algo uses the EMA to set the trend line . You are also able to turn the trend line into a range instead of just a static line. The algo uses the VWMA to set the base entry parameters. When a candle closes above or below the VWMA it will record that price and then wait for the VWMA to meet the candle close price. When that happens the Base entry condition is met. (it causes the vwma to create a hook like structure. essentially tell you that the momentum has changed directions.)
The algo will always check to see if the trend line has either breached or has been tested and held. If this condition has been met it will then go to the base entry condition to check to see if the momentum has changed.
There is a mean reversion component in this algo as well. When the price has moved away from the mean(set by user) by a certain amount the algo will start to look for a top or bottom. Once that condition has been met it will then use the base entry condition to look for a change in momentum, but the mean reversion base entry condition uses the HMA to check for a change in momentum.
This algo effectively looks like a hamburger. Mean reversion being the tops and bottoms(bun) and the trend following(beef patty)
CryptoEQ SignalAbout the signal:
CryptoEQ™ provides real-time trading signals to help traders and investors with excellent entry and exit points. The CryptoEQ™ has an easy to understand signal that helps traders -along with their own research- determine if a crypto assets price is overbought or oversold. CryptoEQ™ uses proprietary algorithms that take into consideration popular momentum indicators in trading, including, but not limited to Relative Strength Index (RSI) , Stochastic Oscillator (SO) , and Stochastic Relative Strength Index (SRSI) to produce their trading signals.
About momentum indicators:
Momentum indicators help traders and analysts identify where the market will reverse after moving in a direction. The direction changes are identified through divergence between price and momentum.
Using the signal:
Using the signal is straightforward. If a “BUY” signal is triggered it indicates an oversold condition, if a “PULL BACK” signal is triggered it indicates an overbought condition.
About CryptoEQ™:
CryptoEQ™ helps investors and traders make informed investment decisions by providing comprehensive, accurate, and up-to-date research and analysis on crypto-projects. They abide by strict principles and ethics to provide honest information while actively seeking to identify scams, low quality, and nefarious projects. All signals are available at cryptoeq.io. You can find additional content on our social media platforms, which include Instagram, Twitter, Telegram, and LinkedIn.
multi Stoch + MACD + CCI strategy (J)The Stochastic Oscillator (STOCH) is a range bound momentum oscillator. The Stochastic indicator is designed to display the location of the close compared to the high/low range over a user defined number of periods. Typically, the Stochastic Oscillator is used for three things; Identifying overbought and oversold levels, spotting divergences and also identifying bull and bear set ups or signals.
www.tradingview.com(STOCH)
MACD is an extremely popular indicator used in technical analysis. MACD can be used to identify aspects of a security's overall trend. Most notably these aspects are momentum, as well as trend direction and duration. What makes MACD so informative is that it is actually the combination of two different types of indicators. First, MACD employs two Moving Averages of varying lengths (which are lagging indicators) to identify trend direction and duration. Then, MACD takes the difference in values between those two Moving Averages (MACD Line) and an EMA of those Moving Averages (Signal Line) and plots that difference between the two lines as a histogram which oscillates above and below a center Zero Line. The histogram is used as a good indication of a security's momentum.
www.tradingview.com(Moving_Average_Convergence/Divergence)
The Commodity Channel Index (CCI) is a momentum oscillator used in technical analysis primarily to identify overbought and oversold levels by measuring an instrument's variations away from its statistical mean. CCI is a very well-known and widely-used indicator that has gained level of popularity in no small part of its versatility. Besides overbought/oversold levels, CCI is often used to find reversals as well as divergences. Originally, the indicator was designed to be used for identifying trends in commodities, however it is now used in a wide range of financial instruments.
www.tradingview.com(CCI)
NIFTY Intraday Strategy - 50 Points📊 NIFTY Intraday Strategy – Description
This Pine Script defines an intraday trading strategy targeting +50 points per trade on NIFTY, using a blend of trend-following and momentum indicators. Here's a breakdown:
🔍 Core Components
1. Indicators Used
VWAP: Volume-Weighted Average Price – institutional anchor for fair value.
Supertrend: Trend direction indicator (parameters: 10, 3.0).
RSI (14): Measures strength/momentum.
ATR (14): Determines volatility for stop-loss calculation.
📈 Entry Conditions
✅ Buy Entry
Price is above VWAP
Supertrend direction is bullish
RSI is above 50
Time is between 9:15 AM and 3:15 PM (India time)
❌ Sell Entry
Price is below VWAP
Supertrend direction is bearish
RSI is below 50
Time is within same market hours
🎯 Exit Logic
Target: 50 points from entry
Stop Loss: 1 × ATR from entry
If neither is hit by 3:15 PM, the position is held (though you may add exit logic at that time).
📌 Visualization
VWAP: orange line
Supertrend: green (uptrend), red (downtrend)
Buy Signal: green triangle below bar
Sell Signal: red triangle above bar
This strategy is ideal for intraday scalping or directional momentum trading in NIFTY Futures or Options.
a. Add end-of-day exit at 3:15 PM to fully close all trades
b. Add a risk-reward ratio input to dynamically adjust target vs stop-loss
RCI Strategy [PineIndicators]RCI Strategy
This strategy leverages the Rank Correlation Index (RCI) — a statistical oscillator that measures the relationship between time and price rank — combined with a configurable moving average filter. It offers clean, rule-based entries and exits, and visually enhanced trade tracking via labeled markers and boxes on the chart.
The RCI Strategy is well-suited for momentum traders looking to capture directional shifts with confirmation through RCI smoothing.
Core Logic
1. Rank Correlation Index (RCI)
Measures how closely price changes correlate with time rankings.
Values range between -100 and +100.
Thresholds at ±80 help identify potential reversals or extremes.
2. RCI Smoothing via Moving Average
A moving average (MA) is applied to the RCI to smooth out fluctuations.
Supported MA types:
SMA
EMA
SMMA (RMA)
WMA
VWMA
Users can disable the smoothing by selecting "None".
Trade Entry Logic
Long Entry: RCI crosses above the selected moving average.
Short Entry: RCI crosses below the moving average.
Entries are restricted by trade direction settings:
Long Only
Short Only
Long & Short
Visual Features
RCI Panel Display
Plots RCI line and its moving average in a separate pane.
Horizontal guide lines at 0, +80, and -80 help visualize signal zones.
Trade Labels on Chart
Buy Label: Plotted when a long entry is executed.
Close Label: Plotted when any position is closed.
Triangle markers for visual emphasis on direction change.
Trade Visualization Boxes
A colored box is drawn between entry and exit prices.
Green = profitable trade; Red = losing trade.
Two horizontal lines connect entry and exit prices for reference.
Customization Parameters
RCI Source: Select input price for the RCI (default: close).
RCI Length: Set sensitivity of the oscillator.
MA Type and Length: Choose and configure the smoothing filter.
Trade Direction Mode: Define whether to allow Long, Short, or both.
Use Cases
Swing traders who want to trade directional reversals with statistical backing.
Traders seeking a clean and visual strategy based on rank momentum.
Environments where both trend and range dynamics occur.
Conclusion
The RCI Strategy is a non-repainting, rule-based trading model that combines rank correlation momentum with smoothed trend logic. Its clean visual markers, labeled trades, and flexible MA filters make it a valuable tool for discretionary and systematic traders alike.
30-70 RSI Strategy with Colored BarThis script colors price bars based on Relative Strength Index (RSI) levels, giving traders a quick and visual way to assess overbought or oversold market conditions directly on the chart.
📈 Key Features:
✅ RSI-Based Bar Coloring:
Green bars when RSI is above the upper threshold (default 70) – suggests bullish momentum.
Red bars when RSI is below the lower threshold (default 30) – indicates bearish pressure.
Bars remain uncolored when RSI is between thresholds – a neutral zone.
🔧 Customizable RSI Settings:
Adjustable RSI length (default: 14 periods)
Adjustable overbought/oversold levels (default: 70/30)
🧠 Helps traders:
Quickly spot potential reversals or trend continuations
Visually align price action with momentum
🛠️ Usage:
Ideal for trend-following, reversal, and momentum strategies.
Works across any timeframe (1m, 5m, 1h, daily, etc.).
Arena-Hub-DC-Strategy V3.1This script must be individually configured for each cryptocurrency. After monitoring several coins, I’ve realized that each one requires its own unique setup. There's no “one-size-fits-all” — and different timeframes require different configurations as well.
⚠️ Risk management is essential.
If you're not familiar with proper risk management, please do not use this script. Make sure to configure your commission and slippage settings appropriately, as these are critical for realistic backtesting results. The Stop Loss and Take Profit levels are not automated — they must be adjusted by the user.
This script is not a financial advisor. It won't make risk or profit-related decisions for you. It's a tool designed to help identify potential entries, trends, and exit opportunities — but all final decisions must be made by the trader.
The default settings are only examples. You’ll need to customize them for each crypto asset and timeframe to make the strategy truly work for your style and market conditions.
The script evaluates:
The positioning of two RSIs relative to each other
Their alignment with a customizable RSI-EMA
The values of EMAs and the ATR (volatility)
A custom weighting system using ADR and VOLUME, which strongly affects trade signals. The weights can be adjusted in 0.1 increments, and even small changes can have a big impact — so fine-tuning is important!
These indicators were chosen because they complement each other:
RSI and its EMA help identify momentum shifts
ATR gauges volatility to confirm market conditions
ADR and VOLUME help filter weak signals and fine-tune entries and exits
🔍 Important: Only use this script if you understand how RSI, EMA, ATR, ADR, and VOLUME indicators work, and are comfortable making your own trading decisions.
The backtest results are based on historical data — the script cannot see the future, not even guess it. Please use it responsibly.
This script is an advanced trend-following strategy that dynamically combines RSI, SMA, EMA, ATR, ADX, and volume indicators using a unique weighting and filtering mechanism. Instead of simply combining traditional indicators, it applies them in a unique way:
✅ Dual RSI Comparison: The strategy utilizes two RSI indicators, analyzing their relative movement to filter out false signals and provide more precise entry points.
✅ Custom Entry and Exit Rules: EMA crossovers alone do not generate signals; instead, they go through a dynamic RSI filter that takes market volatility into account using ATR and ADX.
✅ Intelligent Trend Identification: Instead of standard moving averages, a uniquely weighted SMA/EMA system is used to assess trend strength and stability.
✅ ATR, ADX & Volume-Based Weighting: The EMA length is dynamically adjusted based on ATR, ADX, and volume, allowing moving averages to react faster in strong trends while smoothing out in choppy markets.
Advanced Dynamic EMA Zone
This is not your typical EMA indicator. It's an enhanced, dynamically adaptive trend zone that:
✅ Applies gradient shading – The zone between EMAs is divided into four layers, highlighting trend strength through smooth color transitions.
✅ Visualizes trend intensity – The strongest trends appear in the darkest shades, while weaker moves fade into lighter tones.
✅ Brings moving averages to life – Instead of static lines, it creates a visually intuitive trend channel.
✅ Differentiates bullish & bearish phases – The cloud fades from dark green to light green during an uptrend and from dark red to light red in a downtrend.
✅ Filters out market noise – Weakening trends appear more transparent, instantly revealing when momentum starts to fade.
✅ Enhances decision-making – Crossovers alone are not trading signals, but the visual representation helps identify market conditions at a glance.
➡️ What makes it unique?
Traditional moving average indicators rely on basic lines, but this is a full-fledged trend visualization system, helping traders filter noise and better understand price momentum.
🔄 Improved Custom EMA Smoothing Control
We’ve enhanced the weighting factor input for better user control! Previously, the EMA smoothing factor (ema1_smooth_factor) had a fixed step size that limited precision. Now, users can fine-tune it in 0.1 increments for greater flexibility.
✅ What’s new?
More precise control over EMA smoothing with adjustable step size (step=0.1).
Better adaptability to different market conditions.
Smoother trend visualization for traders who prefer fine-tuned settings.
This update ensures our custom EMA visualization remains superior to standard indicators. 🎯🔥
Enhanced BarUpDn StrategyEnhanced BarUpDn Strategy
The Enhanced BarUpDn Strategy is a refined price action-based trading approach that identifies market trends and reversals using bar formations. It focuses on detecting bullish and bearish momentum by analyzing consecutive price bars and key support/resistance levels.
Key Features:
✅ Trend Confirmation – Uses a combination of bar patterns and indicators (e.g., moving averages, RSI) to confirm momentum shifts.
✅ Entry Signals – A buy signal is triggered when an "Up Bar" (higher high, higher low) follows a bullish setup; a sell signal when a "Down Bar" (lower high, lower low) confirms bearish momentum.
✅ Enhanced Filters – Incorporates volume analysis and additional conditions to reduce false signals.
✅ Stop-Loss & Risk Management – Uses recent swing highs/lows for stop placement and dynamic trailing stops for maximizing gains.
JMA Quantum Edge: Adaptive Precision Trading System JMA Quantum Edge: Adaptive Precision Trading System - Enhanced Visuals & Risk Management
Get ready to experience a groundbreaking trading strategy that adapts in real-time to market conditions! This powerful, open-source script combines advanced technical analysis with state-of-the-art risk management tools, designed to give you the edge you need in today's dynamic markets.
What It Does:
Adaptive JMA Indicator:
Utilizes a custom Jurik Moving Average (JMA) that adjusts its sensitivity based on market volatility, ensuring you get precise signals even in the most fluctuating environments.
Dynamic Risk Management:
Features built-in support for partial exits (scaling out) to secure profits, along with an optional Kelly Criterion-based position sizing that tailors your exposure based on historical performance metrics.
Robust Error Handling:
Incorporates market condition filters—like minimum volume and maximum allowed gap percentage—to ensure trades are only executed under favorable conditions.
Vivid Visual Enhancements:
Enjoy an animated background that reflects market momentum, dynamic pivot markers, and clearly drawn trend channels. Plus, interactive tables provide real-time performance analytics and detailed error metrics.
Fully Customizable:
With a comprehensive set of inputs, you can easily tailor the strategy to your personal trading style and market preferences. Adjust everything from JMA parameters to refresh intervals for tables and labels!
How to Use It:
Add the Script:
Copy and paste the script into the Pine Script Editor on TradingView and click “Add to Chart.”
Configure Your Settings:
Customize your risk management (capital, commission, position sizing, partial exits, etc.) and tweak the JMA settings to match your preferred trading style. Use the extensive input panel to adjust visuals, alerts, and more.
Backtest & Optimize:
Run the strategy in the Strategy Tester to analyze its historical performance. Monitor real-time analytics and error metrics via the interactive tables, and fine-tune your parameters for optimal performance.
Go Live with Confidence:
Once you're satisfied with the backtest results, use the generated signals for live trading, and let the system help you stay ahead in fast-paced markets!
How to use the imputs:
This cutting-edge strategy is designed to adapt to changing market conditions and offers you complete control over your trading parameters. Here’s a breakdown of what each group of inputs does and how you should use them:
Risk Management & Trade Settings
Recalculate on Every Tick:
What it does: When enabled, the strategy recalculates on every price update.
Recommendation: Leave it true for fast charts.
Initial Capital:
What it does: Sets your starting capital for backtesting, which influences position sizing and performance metrics.
Recommendation: Start with $10,000 (or adjust according to your trading capital).
Commission (%):
What it does: Simulates the cost per trade.
Recommendation: Use a realistic rate (e.g., 0.04%).
Position Size & Quantity Type:
What they do: Define how large each trade will be. Choose between a fixed unit amount or a percentage of equity.
Recommendation: For beginners, the default fixed value is a good start. Experiment later with percentage-based sizing if needed.
Order Comment:
What it does: Adds a label to your orders for easier tracking.
Allow Reverse Orders:
What it does: If disabled, the strategy will close opposing positions before entering a new trade, reducing conflicts.
Enable Dynamic Position Sizing:
What it does: Adjusts trade size based on current volatility.
Recommendation: Beginners may start with this disabled until they understand basic sizing.
Partial Exit Inputs:
What they do:
Enable Partial Exits: When turned on, you can scale out of your position to lock in profits.
Partial Exit Profit (%): The profit percentage that triggers a partial exit.
Partial Exit Percentage: The percentage of your current position to exit. Recommendation: Use defaults (e.g., 5% profit, 50% exit) to secure profits gradually.
Kelly Criterion Option:
What it does: When enabled, adjusts your position sizing using historical performance (win rate and profit factor).
Recommendation: Beginners might leave this disabled until comfortable with backtest performance metrics.
Market Condition Filters:
What they do:
Minimum Volume: Ensures trades occur only when there’s sufficient market activity.
Maximum Gap (%): Prevents trading if there’s an unusually large gap between the previous close and current open. Recommendation: Defaults work well for most markets. If trades seem erratic, consider tightening these limits.
JMA Settings
Price Source:
What it does: The input series for the JMA calculation, typically set to the closing price.
JMA Length:
What it does: Controls the smoothing period of the JMA. Lower values are more sensitive; higher values smooth out the noise. Recommendation: Start with 21.
JMA Phase & Power:
What they do: Adjust how responsive the JMA is. Phase controls timing; power adjusts the intensity. Recommendation: Default settings (63 phase and 3 power) are a balanced starting point.
Visual Settings & Style
Show JMA Line, Pivot Lines, and Pivot Labels:
What they do: Toggle visual elements on your chart for easier signal identification.
Pivot History Count:
What it does: Limits how many historical pivot markers are displayed.
Color Settings (Up/Down Neon Colors):
What they do: Set the visual cues for buy and sell signals.
Pivot Marker & Line Style:
What they do: Choose the style and thickness of your pivot markers and lines.
Show Stats Panel:
What it does: Displays real-time performance and error metrics.
Dynamic Background & Visual Enhancements
Animate Background:
What it does: Changes the background color based on market momentum.
Show Trend Channels & Volume Zones:
What they do: Draw trend channels and highlight areas of high volatility/volume.
Show Data-Rich Labels:
What it does: Displays key metrics like volume, error percentage, and momentum on the chart.
High Volatility Threshold:
What it does: Determines the multiplier for when the chart background should change due to high volatility.
Multi-Timeframe Settings
Higher Timeframe:
What it does: Uses a higher timeframe’s JMA for trend confirmation. Recommendation: Use Daily ('D') or Weekly ('W') for broader trend analysis.
Show HTF Trend Zone & Opacity:
What they do: Display a visual zone from the higher timeframe to help confirm trends.
6. Trailing Stop Settings
Trailing Stop ATR Factor & Offset Multiplier:
What they do: Calculate trailing stops based on the Average True Range (ATR), adjusting stop distances dynamically. Recommendation: Default settings are a good balance but can be fine-tuned based on asset volatility.
Alerts & Notifications
Alerts on Pivot Formation & JMA Crossover:
What they do: Notify you when key events occur.
Dynamic Power Threshold:
What it does: Sets the sensitivity for dynamic alerts.
8. Static Stop Loss / Take Profit
Static Stop Loss (%) & Take Profit (%):
What they do: Allow you to set fixed stop loss or take profit levels. Recommendation: Leave them at 0 to disable if you prefer dynamic risk management, or set them if you have strict risk/reward preferences.
Advanced Settings
ATR Length:
What it does: Determines the period for ATR calculation, impacting trailing stop sensitivity. Recommendation: Start with 14.
Optimization Feedback & Enhanced Error Analysis
Error Metric Length & Error Threshold (%):
What they do: Calculate error metrics (like average error, skewness, and kurtosis) to help you fine-tune the JMA. Recommendation: Use the defaults and adjust if the error metrics seem off during backtesting.
UI - User-Driven Tweaking & Table Customization
Parameter Tweaker Panel, Debug/Performance Table Settings:
What they do: Provide interactive tables that display real-time performance, error metrics, and allow you to monitor strategy parameters.
Refresh Frequency Options (Table & Label Refresh Intervals):
What they do: Set how often the tables and labels update.
Recommendation: Start with an interval of 1 bar; increase it if your chart is too busy.
Important for Beginners:
Default Settings:
All default values have been chosen for balanced performance across different markets. If you ever experience unexpected behavior, start by resetting the inputs to their defaults.
Step-by-Step Adjustments:
Experiment by changing one setting at a time while observing how the strategy’s signals and performance metrics change. This will help you understand the impact of each parameter.
Resetting to Defaults:
If things seem off or you’re not getting the expected results, you can always reset the indicator. Either reload the script or use the “Reset Inputs” option (if available) to revert to the default settings.
Jump in, experiment, and enjoy the power of adaptive precision trading. This strategy is built to grow with your skills—have fun exploring and refining your trading edge!
Happy trading!
Larry Conners SMTP StrategyThe Spent Market Trading Pattern is a strategy developed by Larry Connors, typically used for short-term mean reversion trading. This strategy takes advantage of the exhaustion in market momentum by entering trades when the market is perceived as "spent" after extended trends or extreme moves, expecting a short-term reversal. Connors uses indicators like RSI (Relative Strength Index) and price action patterns to identify these opportunities.
Key Elements of the Strategy:
Overbought/Oversold Conditions: The strategy looks for extreme overbought or oversold conditions, often indicated by low RSI values (below 30 for oversold and above 70 for overbought).
Mean Reversion: Connors believed that markets, especially in short-term scenarios, tend to revert to the mean after periods of strong momentum. The "spent" market is assumed to have expended its energy, making a reversal likely.
Entry Signals:
In an uptrend, a stock or market index making a significant number of consecutive up days (e.g., 5-7 consecutive days with higher closes) indicates overbought conditions.
In a downtrend, a similar number of consecutive down days indicates oversold conditions.
Reversal Anticipation: Once an extreme in price movement is identified (such as consecutive gains or losses), the strategy places trades anticipating a reversion to the mean, which is usually the 5-day or 10-day moving average.
Exit Points: Trades are exited when prices move back toward their mean or when the extreme conditions dissipate, usually based on RSI or moving average thresholds.
Why the Strategy Works:
Human Psychology: The strategy capitalizes on the fact that markets, in the short term, often behave irrationally due to the emotions of traders—fear and greed lead to overextended moves.
Mean Reversion Tendency: Financial markets often exhibit mean-reverting behavior, where prices temporarily deviate from their historical norms but eventually return. Short-term exhaustion after a strong rally or sell-off offers opportunities for quick profits.
Overextended Moves: Markets that rise or fall too quickly tend to become overextended, as buyers or sellers get exhausted, making reversals more probable. Connors’ approach identifies these moments when the market is "spent" and ripe for a reversal.
Risks of the Spent Market Trading Pattern Strategy:
Trend Continuation: One of the key risks is that the market may not revert as expected and instead continues in the same direction. In trending markets, mean-reversion strategies can suffer because strong trends can last longer than anticipated.
False Signals: The strategy relies heavily on technical indicators like RSI, which can produce false signals in volatile or choppy markets. There can be times when a market appears "spent" but continues in its current direction.
Market Timing: Mean reversion strategies often require precise market timing. If the entry or exit points are mistimed, it can lead to losses, especially in short-term trades where small price movements can significantly impact profitability.
High Transaction Costs: This strategy requires frequent trades, which can lead to higher transaction costs, especially in markets with wide bid-ask spreads or high commissions.
Conclusion:
Larry Connors’ Spent Market Trading Pattern strategy is built on the principle of mean reversion, leveraging the concept that markets tend to revert to a mean after extreme moves. While effective in certain conditions, such as range-bound markets, it carries risks—especially during strong trends—where price momentum may not reverse as quickly as expected.
For a more in-depth explanation, Larry Connors’ books such as "Short-Term Trading Strategies That Work" provide a comprehensive guide to this and other strategies .
TrendGuard Flag Finder - Strategy [presentTrading]
Introduction and How It Is Different
In the vast world of trading strategies, the TrendGuard Flag Finder stands out as a unique blend of traditional flag pattern detection and the renowned SuperTrend indicator.
- A significant portion of the Flag Pattern detection is inspired by the "Flag Finder" code by @Amphibiantrading, which serves as one of foundational element of this strategy.
- While many strategies focus on either trend-following or pattern recognition, this strategy harmoniously combines both, offering traders a more holistic view of the market.
- The integration of the SuperTrend indicator not only provides a clear direction of the prevailing trend but also offers potential stop-loss levels, enhancing the strategy's risk management capabilities.
AAPL 1D chart
ETHBTC 6hr chart
Strategy: How It Works
The TrendGuard Flag Finder is primarily built on two pillars:
1. Flag Pattern Detection : At its core, the strategy identifies flag patterns, which are continuation patterns suggesting that the prevailing trend will resume after a brief consolidation. The strategy meticulously detects both bullish and bearish flags, ensuring traders can capitalize on opportunities in both rising and falling markets.
What is a Flag Pattern? A flag pattern consists of two main components:
1.1 The Pole : This is the initial strong price move, which can be either upwards (for bullish flags) or downwards (for bearish flags). The pole represents a strong surge in price in a particular direction, driven by significant buying or selling momentum.
1.2 The Flag : Following the pole, the price starts consolidating, moving against the initial trend. This consolidation forms a rectangular shape and is characterized by parallel trendlines. In a bullish flag, the consolidation will have a slight downward tilt, while in a bearish flag, it will have a slight upward tilt.
How the Strategy Detects Flags:
Identifying the Pole: The strategy first identifies a strong price movement over a user-defined number of bars. This movement should meet a certain percentage change to qualify as a pole.
Spotting the Flag: After the pole is identified, the strategy looks for a consolidation phase. The consolidation should be counter to the prevailing trend and should be contained within parallel lines. The depth (for bullish flags) or rally (for bearish flags) of this consolidation is calculated to ensure it meets user-defined criteria.
2. SuperTrend Integration : The SuperTrend indicator, known for its simplicity and effectiveness, is integrated into the strategy. It provides a dynamic line on the chart, signaling the prevailing trend. When prices are above the SuperTrend line, it's an indication of an uptrend, and vice versa. This not only confirms the flag pattern's direction but also offers a potential stop-loss level for trades.
When combined, these components allow traders to identify potential breakout (for bullish flags) or breakdown (for bearish flags) scenarios, backed by the momentum indicated by the SuperTrend.
Usage
To use the SuperTrend Enhanced Flag Finder:
- Inputs : Begin by setting the desired parameters. The strategy offers a range of user-controlled settings, allowing for customization based on individual trading preferences and risk tolerance.
- Visualization : Once the parameters are set, the strategy will identify and visually represent flag patterns on the chart. Bullish flags are represented in green, while bearish flags are in red.
- Trade Execution : When a breakout or breakdown is identified, the strategy provides entry signals. It also offers exit signals based on the SuperTrend, ensuring that traders can capitalize on the momentum while managing risk.
Default Settings
The strategy comes with a set of default settings optimized for general use:
- SuperTrend Parameters: Length set to 10 and Factor set to 5.0.
- Bull Flag Criteria: Max Flag Depth at 7, Max Flag Length at 10 bars, Min Flag Length at 3 bars, Prior Uptrend Minimum at 9%, and Flag Pole Length between 7 to 13 bars.
- Bear Flag Criteria: Similar settings adjusted for bearish patterns.
- Display Options: By default, both bullish and bearish flags are displayed, with breakout and breakdown points highlighted.
PowerX Strategy BacktestThis script implements the Power X trading strategy by Markus Heitkoetter and Rockwell Trading. The strategy is described in detail in "The PowerX Strategy: How to Trade Stocks and Options in Only 15 Minutes a Day" written by Markus Heitkoetter.
The Power X trading strategy uses RSI, Slow Stochastic and MACD indicators. When RSI and Slow Stochastic are both greater than 50 and MACD crosses up the signal line, it signals an up-trend. If RSI and slow stochastic are both less than 50 and MACD crosses down the signal line, it signals a down-trend. Other conditions signal no trend. There is an official version of this indicator available: PowerX Strategy Bar Coloring OFFICIAL VERSION.
This script opens a long entry with an up-trend momentum and a short entry with down-trend momentum. Trades are exited when profit target or stop loss is reached. Profit target and stop loss are calculated based on 7 days Average Daily Range (ADR). If the momentum is lost, a trade is exited the next day. The quantity of assets to buy/sell is calculated based on the stop loss to limit the risk to a user defined percentage of the initial capital.
There is another implementation of the Power X trading strategy available by therealhaolu: Power X Strategy Back-test. However, according to the comments this script seems to have some flaws.
Power X Strategy Back-testThis script back-test the Power X Strategy developed by Markus Heitkoetter and Rockwell Trading. For more detail about the strategy, please refer to "The PowerX Strategy: How to Trade Stocks and Options in Only 15 Minutes a Day" written by Markus Heitkoetter. Note that this script is not publish, develop or maintain by Rockwell Trading, and may have different results. Rockwell Trading has a powerful software called Power X Optimizer, which scan, back-test and optimize the best stock for the strategy.
The Power X Strategy uses RSI , Slow Stochastic and MACD indicators under the hood. When RSI and slow Stochastic are both greater than 50 and MACD crosses up the signal line, it marks as up-trend. If RSI and slow stochastic are both less than 50 and MACD crosses down the signal line, it marks as down-trend. Other are mark as no trend.
This back-test makes a long entry with an up-trend momentum and short entry with down-trend momentum. Trade is exited when profit target or stop lose is reach. Profit target and stop lose is calculated based on 7 days Average Daily Range (ADR).
If the either of the momentum is lost, trade is exited the next day. It also skips the entire month of March 2020, since the market crash and is not in a normal market condition for the strategy.
IndianPivotBossPIVOTRSIThis is a new avatar of Pivot RSI.
Pivot RSI shows the momentum of the market.
A cross above 50 is a bullish momentum and below 50 is a bearish momentum.
This is a strategy on its own.
However, this is to be used in combination with IndianPivotBossMUPS indicator which is available in the public library.
BEST Engulfing + Breakout StrategyHello traders
This is a simple algorithm for a Tradingview strategy tracking a convergence of 2 unrelated indicators.
Convergence is the solution to my trading problems.
It's a puzzle with infinite possibilities and only a few working combinations.
Here's one that I like
- Engulfing pattern
- Price vs Moving average for detecting a breakout
Definition
Take out the notebooks :) and some coffee (good for focus). I'm bullish in coffee
The engulfing pattern is a two-candle reversal pattern.
The second candle completely ‘engulfs’ the real body of the first one, without regard to the length of the tail shadows.
The bullish Engulfing pattern appears in a downtrend and is a combination of one red candle followed by a larger green candle
The bearish Engulfing pattern appears in a downtrend and is a combination of one green candle followed by a larger red candle
Example: imgur.com
We're bored sir... what's the point of all this?
In summary, an engulfing is a pattern to track reversals. (the whole TradingView audience stands up now giving a standing ovation)
Adding the Price vs Moving average filters allows to track reversals with momentums (half of the audience collapsed because this is too awesome)
Ok sir... you picked up my interest
I included some cool backtest filters:
- date range filtering
- flexible take profit in USD value (plotted in blue)
- flexible stop loss in USD value (plotted in red)
All the best
Dave
kiska clouds backtest editionkiska clouds: crypto twitter's next cloud meme
Crypto is a fast-paced, highly-volatile asset, therefore, many traditional strategies are thrown out of the window when applied to cryptocurrency markets. In trading, there are only two things known for sure: price and volume . Price and volume data is then manipulated using various math equations in an effort to discover patterns and/or make predictions. kiska clouds are no different.
The kiska clouds are a simple crossover strategy. The clouds are different because of the unique averages being used and the embedded momentum indicator .
To use the clouds is simple:
When the green line crosses above the pink line, you buy/long.
When the green line crosses below the pink line, you sell/short.
The clouds are indicative of the trend's momentum. Using the power of math, the larger the cloud indicates a higher amount of buying/selling pressure. As the cloud thins, momentum is slowing, and the trend may be reversing.
At the time of testing, the strategy had a profitability of 54.55% accuracy with 1133.41% net profit. While I think this could be automated into a bot, adding a human element with stop losses and further analysis will significantly improve the accuracy/profitability.
This indicator is the backtest version of the kiska clouds (). For a trial or to purchase this indicator, send me a message on Twitter @moonkiska or here on TradingView. You will be granted a 2-3 day trial period to the backtesting strategy.
BTC Tactical TrendBTC TACTICAL TREND DESCRIPTION
BTC Tactical Trend: Your Battlefield Command Center
In the unforgiving arena of the financial markets, victory belongs to the operator with superior intelligence and decisive firepower. The BTC Tactical Trend strategy is not merely a tool; it is a comprehensive battle station engineered for the elite trader who commands the trend, rather than follows it.
This system is built on a core philosophy of multi-timeframe dominance. It synthesizes intelligence from strategic higher timeframes to establish a clear picture of the macro trend, ensuring you are always positioned on the right side of the war. It filters out market noise and focuses only on high-probability engagements, aligning your entries with powerful, confirmed momentum.
Core Features
* State-of-the-Art Tactical Command Center
This is the heart of the system. A cutting-edge, on-screen display provides an at-a-glance status report of every critical variable for your mission. It's not just data; it's battlefield intelligence, broken down into:
* Operation Execution: Real-time checklist for engagement conditions like Trend Alignment, Price Position, and Entry Control. The entire section glows with an operational green light when all systems are aligned for a strike.
* Extraction Protocol: Monitors your active position and tracks exit conditions with military precision. The console flashes a critical red alert when the Breach Counter indicates extraction is imminent, allowing for disciplined and unemotional exits.
* Full Customization: This command center is designed for your cockpit. Adjust its position, size, and transparency to seamlessly integrate with your existing charting setup.
* Dynamic Battlefield Visualization
The chart itself transforms into a tactical map. The background dynamically shifts color to reflect the prevailing battlefield conditions—a vibrant green for secured bullish territory and a cautionary red for hostile environments. An Ichimoku-style EMA cloud visually represents momentum zones, providing a clear view of support and resistance levels.
* Precision Entry & Exit Signals
Forget ambiguity. When the rigorous, multi-condition validation process is complete, the strategy prints a clear, unmistakable BUY or SELL label on your chart. These are not mere suggestions; they are executive orders to engage or disengage, backed by the full intelligence of the system.
* Elite Customization Arsenal
Every operative has their own style. Take full command of the visual interface. Every color—from the moving averages and signal markers to the advanced lighting effects of the command center—is fully customizable to match your personal aesthetic and operational needs.
Stop navigating the markets with inferior tools. Equip yourself with the BTC Tactical Trend strategy. Dominate the trend. Command the battlefield.
