Fibonacci ATR Fusion - Strategy [presentTrading]Open-script again! This time is also an ATR-related strategy. Enjoy! :)
If you have any questions, let me know, and I'll help make this as effective as possible.
█ Introduction and How It Is Different
The Fibonacci ATR Fusion Strategy is an advanced trading approach that uniquely integrates Fibonacci-based weighted averages with the Average True Range (ATR) to identify and capitalize on significant market trends.
Unlike traditional strategies that rely on single indicators or static parameters, this method combines multiple timeframes and dynamic volatility measurements to enhance precision and adaptability. Additionally, it features a 4-step Take Profit (TP) mechanism, allowing for systematic profit-taking at various levels, which optimizes both risk management and return potential in long and short market positions.
BTCUSD 6hr Performance
█ Strategy, How It Works: Detailed Explanation
The Fibonacci ATR Fusion Strategy utilizes a combination of technical indicators and weighted averages to determine optimal entry and exit points. Below is a breakdown of its key components and operational logic.
🔶 1. Enhanced True Range Calculation
The strategy begins by calculating the True Range (TR) to measure market volatility accurately.
TR = max(High - Low, abs(High - Previous Close), abs(Low - Previous Close))
High and Low: Highest and lowest prices of the current trading period.
Previous Close: Closing price of the preceding trading period.
max: Selects the largest value among the three calculations to account for gaps and limit movements.
🔶 2. Buying Pressure (BP) Calculation
Buying Pressure (BP) quantifies the extent to which buyers are driving the price upwards within a period.
BP = Close - True Low
Close: Current period's closing price.
True Low: The lower boundary determined in the True Range calculation.
🔶 3. Ratio Calculation for Different Periods
To assess the strength of buying pressure relative to volatility, the strategy calculates a ratio over various Fibonacci-based timeframes.
Ratio = 100 * (Sum of BP over n periods) / (Sum of TR over n periods)
n: Length of the period (e.g., 8, 13, 21, 34, 55).
Sum of BP: Cumulative Buying Pressure over n periods.
Sum of TR: Cumulative True Range over n periods.
This ratio normalizes buying pressure, making it comparable across different timeframes.
🔶 4. Weighted Average Calculation
The strategy employs a weighted average of ratios from multiple Fibonacci-based periods to smooth out signals and enhance trend detection.
Weighted Avg = (w1 * Ratio_p1 + w2 * Ratio_p2 + w3 * Ratio_p3 + w4 * Ratio_p4 + Ratio_p5) / (w1 + w2 + w3 + w4 + 1)
w1, w2, w3, w4: Weights assigned to each ratio period.
Ratio_p1 to Ratio_p5: Ratios calculated for periods p1 to p5 (e.g., 8, 13, 21, 34, 55).
This weighted approach emphasizes shorter periods more heavily, capturing recent market dynamics while still considering longer-term trends.
🔶 5. Simple Moving Average (SMA) of Weighted Average
To further smooth the weighted average and reduce noise, a Simple Moving Average (SMA) is applied.
Weighted Avg SMA = SMA(Weighted Avg, m)
- m: SMA period (e.g., 3).
This smoothed line serves as the primary signal generator for trade entries and exits.
🔶 6. Trading Condition Thresholds
The strategy defines specific threshold values to determine optimal entry and exit points based on crossovers and crossunders of the SMA.
Long Condition = Crossover(Weighted Avg SMA, Long Entry Threshold)
Short Condition = Crossunder(Weighted Avg SMA, Short Entry Threshold)
Long Exit = Crossunder(Weighted Avg SMA, Long Exit Threshold)
Short Exit = Crossover(Weighted Avg SMA, Short Exit Threshold)
Long Entry Threshold (T_LE): Level at which a long position is triggered.
Short Entry Threshold (T_SE): Level at which a short position is triggered.
Long Exit Threshold (T_LX): Level at which a long position is exited.
Short Exit Threshold (T_SX): Level at which a short position is exited.
These conditions ensure that trades are only executed when clear trends are identified, enhancing the strategy's reliability.
Previous local performance
🔶 7. ATR-Based Take Profit Mechanism
When enabled, the strategy employs a 4-step Take Profit system to systematically secure profits as the trade moves in the desired direction.
TP Price_1 Long = Entry Price + (TP1ATR * ATR Value)
TP Price_2 Long = Entry Price + (TP2ATR * ATR Value)
TP Price_3 Long = Entry Price + (TP3ATR * ATR Value)
TP Price_1 Short = Entry Price - (TP1ATR * ATR Value)
TP Price_2 Short = Entry Price - (TP2ATR * ATR Value)
TP Price_3 Short = Entry Price - (TP3ATR * ATR Value)
- ATR Value: Calculated using ATR over a specified period (e.g., 14).
- TPxATR: User-defined multipliers for each take profit level.
- TPx_percent: Percentage of the position to exit at each TP level.
This multi-tiered exit strategy allows for partial position closures, optimizing profit capture while maintaining exposure to potential further gains.
█ Trade Direction
The Fibonacci ATR Fusion Strategy is designed to operate in both long and short market conditions, providing flexibility to traders in varying market environments.
Long Trades: Initiated when the SMA of the weighted average crosses above the Long Entry Threshold (T_LE), indicating strong upward momentum.
Short Trades: Initiated when the SMA of the weighted average crosses below the Short Entry Threshold (T_SE), signaling robust downward momentum.
Additionally, the strategy can be configured to trade exclusively in one direction—Long, Short, or Both—based on the trader’s preference and market analysis.
█ Usage
Implementing the Fibonacci ATR Fusion Strategy involves several steps to ensure it aligns with your trading objectives and market conditions.
1. Configure Strategy Parameters:
- Trading Direction: Choose between Long, Short, or Both based on your market outlook.
- Trading Condition Thresholds: Set the Long Entry, Short Entry, Long Exit, and Short Exit thresholds to define when to enter and exit trades.
2. Set Take Profit Levels (if enabled):
- ATR Multipliers: Define how many ATRs away from the entry price each take profit level is set.
- Take Profit Percentages: Allocate what percentage of the position to close at each TP level.
3. Apply to Desired Chart:
- Add the strategy to the chart of the asset you wish to trade.
- Observe the plotted Fibonacci ATR and SMA Fibonacci ATR indicators for visual confirmation.
4. Monitor and Adjust:
- Regularly review the strategy’s performance through backtesting.
- Adjust the input parameters based on historical performance and changing market dynamics.
5. Risk Management:
- Ensure that the sum of take profit percentages does not exceed 100% to avoid over-closing positions.
- Utilize the ATR-based TP levels to adapt to varying market volatilities, maintaining a balanced risk-reward ratio.
█ Default Settings
Understanding the default settings is crucial for optimizing the Fibonacci ATR Fusion Strategy's performance. Here's a precise and simple overview of the key parameters and their effects:
🔶 Key Parameters and Their Effects
1. Trading Direction (`tradingDirection`)
- Default: Both
- Effect: Determines whether the strategy takes both long and short positions or restricts to one direction. Selecting Both allows maximum flexibility, while Long or Short can be used for directional bias.
2. Trading Condition Thresholds
Long Entry (long_entry_threshold = 58.0): Higher values reduce false positives but may miss trades.
Short Entry (short_entry_threshold = 42.0): Lower values capture early short trends but may increase false signals.
Long Exit (long_exit_threshold = 42.0): Exits long positions early, securing profits but potentially cutting trends short.
Short Exit (short_exit_threshold = 58.0): Delays short exits to capture favorable movements, avoiding premature exits.
3. Take Profit Configuration (`useTakeProfit` = false)
- Effect: When enabled, the strategy employs a 4-step TP mechanism to secure profits at multiple levels. By default, it is disabled to allow users to opt-in based on their trading style.
4. ATR-Based Take Profit Multipliers
TP1 (tp1ATR = 3.0): Sets the first TP at 3 ATRs for initial profit capture.
TP2 (tp2ATR = 8.0): Targets larger trends, though less likely to be reached.
TP3 (tp3ATR = 14.0): Optimizes for extreme price moves, seldom triggered.
5. Take Profit Percentages
TP Level 1 (tp1_percent = 12%): Secures 12% at the first TP.
TP Level 2 (tp2_percent = 12%): Exits another 12% at the second TP.
TP Level 3 (tp3_percent = 12%): Closes an additional 12% at the third TP.
6. Weighted Average Parameters
Ratio Periods: Fibonacci-based intervals (8, 13, 21, 34, 55) balance responsiveness.
Weights: Emphasizes recent data for timely responses to market trends.
SMA Period (weighted_avg_sma_period = 3): Smoothens data with minimal lag, balancing noise reduction and responsiveness.
7. ATR Period (`atrPeriod` = 14)
Effect: Sets the ATR calculation length, impacting TP sensitivity to volatility.
🔶 Impact on Performance
- Sensitivity and Responsiveness:
- Shorter Ratio Periods and Higher Weights: Make the weighted average more responsive to recent price changes, allowing quicker trade entries and exits but increasing the likelihood of false signals.
- Longer Ratio Periods and Lower Weights: Provide smoother signals with fewer false positives but may delay trade entries, potentially missing out on significant price moves.
- Profit Taking:
- ATR Multipliers: Higher multipliers set take profit levels further away, targeting larger price movements but reducing the probability of reaching these levels.
- Fixed Percentages: Allocating equal percentages at each TP level ensures consistent profit realization and risk management, preventing overexposure.
- Trade Direction Control:
- Selecting Specific Directions: Restricting trades to Long or Short can align the strategy with market trends or personal biases, potentially enhancing performance in trending markets.
- Risk Management:
- Take Profit Percentages: Dividing the position into smaller percentages at multiple TP levels helps lock in profits progressively, reducing risk and allowing the remaining position to ride further trends.
- Market Adaptability:
- Weighted Averages and ATR: By combining multiple timeframes and adjusting to volatility, the strategy adapts to different market conditions, maintaining effectiveness across various asset classes and timeframes.
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If you want to know more about ATR, can also check "SuperATR 7-Step Profit".
Enjoy trading.
在腳本中搜尋"momentum"
NNFX RSI EMA FVMA MACD ALGOThis Pine Script introduces a cutting-edge trading strategy that seamlessly integrates multiple technical indicators—namely, the Flexible Variable Moving Average ( FVMA ), Relative Strength Index ( RSI ), Moving Average Convergence Divergence ( MACD ), and Exponential Moving Average ( EMA )—to deliver a sophisticated trading experience. This script stands out due to its comprehensive approach, robust risk management, and the inclusion of crucial data tables for various timeframes, making it an invaluable tool for traders seeking to enhance their market performance.
Originality of the Strategy:
The originality of this script lies in its unique combination of multiple powerful indicators, enabling traders to benefit from diverse perspectives on market dynamics. This mashup enhances decision-making processes, providing multiple layers of confirmation for trade entries and exits. The strategy is designed to offer an innovative solution for traders looking to improve their performance through well-defined rules and a solid framework.
Flexible Variable Moving Average (FVMA):
The FVMA adapts dynamically to market conditions, offering a more responsive trend line than traditional moving averages. This flexibility allows for quick identification of trends and reversals, crucial for fast-paced trading environments.
Exponential Moving Average (EMA):
By giving greater weight to recent price data, the EMA enhances sensitivity to price changes, allowing for more accurate entries and exits when used alongside the FVMA. This combination maximizes the effectiveness of the strategy in identifying optimal trading opportunities.
Relative Strength Index (RSI):
The RSI helps identify overbought or oversold conditions, integrating seamlessly with other indicators to enhance the strategy's ability to pinpoint potential reversal points. This aspect of the strategy ensures that traders can make informed decisions based on market momentum.
Moving Average Convergence Divergence (MACD):
The MACD serves as an essential confirmation tool, providing insights into trend strength and momentum. This enhances the accuracy of entry and exit signals, allowing traders to make more informed decisions based on robust technical analysis.
Multi-Take Profit (TP) and Stop Loss (SL) Levels:
The strategy supports multiple TPs, allowing traders to lock in profits at various levels while effectively managing risk through a robust SL system. This flexibility caters to diverse trading styles and risk profiles, ensuring that the strategy can adapt to individual trader needs.
Default Properties:
Take Profit Levels: TP1 is set to 2.0, and TP2 is set to 2.9, which is designed to enhance profit potential while maintaining a solid risk-reward ratio.
Stop Loss: A SL is set at 2% of the 5% account balance, which helps to preserve capital and manage risk effectively, adhering to the guideline of not risking more than 5-10% of the account balance per trade.
Labeling System for Exits: Automatic labeling of TP and SL exits on the chart provides clear visualization of trading outcomes. This feature supports informed decision-making and performance tracking, aligning with the guideline of providing transparent results.
Custom Alerts System:
The inclusion of customizable alerts for trade entries, exits, and SL/TP hits keeps traders informed in real-time, enabling prompt actions without constant market monitoring. This is crucial for effective trade management and helps traders respond quickly to market changes.
API Boxes for Automated Trading:
The strategy features API boxes, allowing traders to set up automated trading based on indicator signals. This functionality enables seamless integration with trading platforms, enhancing efficiency and streamlining the trading process, which is particularly valuable for traders looking to optimize their execution.
Data Tables for Enhanced Analysis:
The script includes data tables displaying critical insights across various timeframes: 2-hour, daily, weekly, and monthly. These tables provide a comprehensive overview of market conditions, allowing traders to analyze trends and make informed decisions based on a broad spectrum of data. By leveraging this information, traders can identify high-probability setups and align their strategies with prevailing market trends, significantly increasing their chances of success.
Default Properties:
Initial Capital: £1,000, ensuring a realistic starting point for traders.
Risk per Trade: 5% of the account balance, promoting sustainable trading practices.
Commission: 0.1%, reflecting realistic transaction costs that traders may encounter.
Slippage: 1%, accounting for potential market volatility during trade execution.
Take Profit Levels:
TP1: 2.0
TP2: 2.9
Stop Loss (SL): 2% of the 5% account balance, which is well within acceptable risk parameters.
Compliance with TradingView Guidelines:
This script fully complies with TradingView's guidelines, specifically:
Strategy Results:
The strategy is designed to publish backtesting results that do not mislead traders. The realistic parameters outlined in the default properties ensure that traders have a clear understanding of potential outcomes.
The dataset used for backtesting has sufficient trades to produce a reliable sample size, aligning with the guideline of ideally having more than 100 trades.
Any deviations from recommended practices are justified in the script description, ensuring transparency and adherence to best practices.
The script explains the default properties in detail, providing a thorough understanding of how these settings influence performance.
Why This Script is Worth Paying For:
This Pine Script offers an unparalleled trading experience through its unique combination of technical indicators, comprehensive trade management features, and detailed data tables for multiple timeframes. Here are compelling reasons to invest in this strategy:
Holistic Approach: The integration of multiple indicators ensures a well-rounded perspective on market conditions, increasing the likelihood of successful trades.
Advanced Risk Management: The flexibility of multiple TPs and SLs empowers traders to tailor their risk profiles according to individual strategies, enhancing overall profitability.
Automated Trading Capability: The inclusion of API boxes for automated trading streamlines execution, allowing traders to capitalize on opportunities without the need for manual intervention.
Comprehensive Data Analysis: The detailed data tables provide invaluable insights across different timeframes, enabling traders to make informed decisions based on robust market analysis.
In summary, this innovative Pine Script represents a powerful tool designed to empower traders at all levels. Its originality, synergistic functionality, and comprehensive features create a dynamic and effective trading environment, justifying its value and positioning it as a must-have for anyone serious about achieving consistent trading success.
Ultimate Oscillator Trading StrategyThe Ultimate Oscillator Trading Strategy implemented in Pine Script™ is based on the Ultimate Oscillator (UO), a momentum indicator developed by Larry Williams in 1976. The UO is designed to measure price momentum over multiple timeframes, providing a more comprehensive view of market conditions by considering short-term, medium-term, and long-term trends simultaneously. This strategy applies the UO as a mean-reversion tool, seeking to capitalize on temporary deviations from the mean price level in the asset’s movement (Williams, 1976).
Strategy Overview:
Calculation of the Ultimate Oscillator (UO):
The UO combines price action over three different periods (short-term, medium-term, and long-term) to generate a weighted momentum measure. The default settings used in this strategy are:
Short-term: 6 periods (adjustable between 2 and 10).
Medium-term: 14 periods (adjustable between 6 and 14).
Long-term: 20 periods (adjustable between 10 and 20).
The UO is calculated as a weighted average of buying pressure and true range across these periods. The weights are designed to give more emphasis to short-term momentum, reflecting the short-term mean-reversion behavior observed in financial markets (Murphy, 1999).
Entry Conditions:
A long position is opened when the UO value falls below 30, indicating that the asset is potentially oversold. The value of 30 is a common threshold that suggests the price may have deviated significantly from its mean and could be due for a reversal, consistent with mean-reversion theory (Jegadeesh & Titman, 1993).
Exit Conditions:
The long position is closed when the current close price exceeds the previous day’s high. This rule captures the reversal and price recovery, providing a defined point to take profits.
The use of previous highs as exit points aligns with breakout and momentum strategies, as it indicates sufficient strength for a price recovery (Fama, 1970).
Scientific Basis and Rationale:
Momentum and Mean-Reversion:
The strategy leverages two well-established phenomena in financial markets: momentum and mean-reversion. Momentum, identified in earlier studies like those by Jegadeesh and Titman (1993), describes the tendency of assets to continue in their direction of movement over short periods. Mean-reversion, as discussed by Poterba and Summers (1988), indicates that asset prices tend to revert to their mean over time after short-term deviations. This dual approach aims to buy assets when they are temporarily oversold and capitalize on their return to the mean.
Multi-timeframe Analysis:
The UO’s incorporation of multiple timeframes (short, medium, and long) provides a holistic view of momentum, unlike single-period oscillators such as the RSI. By combining data across different timeframes, the UO offers a more robust signal and reduces the risk of false entries often associated with single-period momentum indicators (Murphy, 1999).
Trading and Market Efficiency:
Studies in behavioral finance, such as those by Shiller (2003), show that short-term inefficiencies and behavioral biases can lead to overreactions in the market, resulting in price deviations. This strategy seeks to exploit these temporary inefficiencies, using the UO as a signal to identify potential entry points when the market sentiment may have overly pushed the price away from its average.
Strategy Performance:
Backtests of this strategy show promising results, with profit factors exceeding 2.5 when the default settings are optimized. These results are consistent with other studies on short-term trading strategies that capitalize on mean-reversion patterns (Jegadeesh & Titman, 1993). The use of a dynamic, multi-period indicator like the UO enhances the strategy’s adaptability, making it effective across different market conditions and timeframes.
Conclusion:
The Ultimate Oscillator Trading Strategy effectively combines momentum and mean-reversion principles to trade on temporary market inefficiencies. By utilizing multiple periods in its calculation, the UO provides a more reliable and comprehensive measure of momentum, reducing the likelihood of false signals and increasing the profitability of trades. This aligns with modern financial research, showing that strategies based on mean-reversion and multi-timeframe analysis can be effective in capturing short-term price movements.
References:
Fama, E. F. (1970). Efficient Capital Markets: A Review of Theory and Empirical Work. The Journal of Finance, 25(2), 383-417.
Jegadeesh, N., & Titman, S. (1993). Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency. The Journal of Finance, 48(1), 65-91.
Murphy, J. J. (1999). Technical Analysis of the Financial Markets: A Comprehensive Guide to Trading Methods and Applications. New York Institute of Finance.
Poterba, J. M., & Summers, L. H. (1988). Mean Reversion in Stock Prices: Evidence and Implications. Journal of Financial Economics, 22(1), 27-59.
Shiller, R. J. (2003). From Efficient Markets Theory to Behavioral Finance. Journal of Economic Perspectives, 17(1), 83-104.
Williams, L. (1976). Ultimate Oscillator. Market research and technical trading analysis.
TradeBuilderOverview
TradeBuilder is an ever-growing toolbox that lets you combine and compound any number of bundled indicators and algorithms to create a compound strategy. At launch, we're including two Moving Averages (SMA, EMA), RSI, and Stochastic Oscillator, with many more to come. You can use any combination of indicators, be it just one, two, or all.
Key Concepts
Indicator Integration: Tradebuilder allows the use of Moving Averages, RSI, and Stochastic Oscillators, with customizable parameters for each. More indicators to come.
Mode Selection : Choose between Confirm Trend Mode (using indicators to confirm trends) and Momentum Mode (using indicators to spot reversals).
Trade Flexibility : Offers options for both long and short trades, enabling diverse trading strategies.
Customizable Inputs : Easily toggle indicators on or off and adjust specific settings like periods and thresholds.
Signal Generation : Combines multiple conditions to generate entry and exit signals.
Input Parameters:
Moving Average (MA):
use_ma : Enable this to include the Moving Average in your strategy.
ma_cross_type : Choose between "Close/MA" (price crossing the MA) or "MA/MA" (one MA crossing another).
ma_length : Set the period for the primary MA.
ma_type : Choose between "SMA" (Simple Moving Average) or "EMA" (Exponential Moving Average).
ma_length2 : Set the period for the secondary MA if using the "MA/MA" cross type.
ma_type2 : Set the type for the secondary MA.
Relative Strength Index (RSI):
use_rsi : Enable this to include RSI in your strategy.
rsi_length : Set the period for RSI calculation.
rsi_overbought : Define the overbought level.
rsi_oversold : Define the oversold level.
Stochastic Oscillator:
use_stoch : Enable this to include the Stochastic Oscillator in your strategy.
stoch_k : Set the %K period.
stoch_d : Set the %D period.
stoch_smooth : Define the smoothing factor.
stoch_overbought : Set the overbought level.
stoch_oversold : Set the oversold level.
Confirmation or Momentum Mode:
confirm_trend : Set this to true to use RSI and Stochastic Oscillator to confirm trends (long when above overbought, short when below oversold). Set to false to trade on momentum (short when above overbought, long when below oversold).
Tip: When set to false and used with just momentum oscillators like Stochastic or RSI, it's geared toward scalping as it essentially becomes momentum trading.
Trade Directions:
trade_long : Enable to allow long trades.
trade_short : Enable to allow short trades.
Example Strategy on E-mini S&P 500 Index Futures ( CME_MINI:ES1! ), 1-minute Chart
Let’s say you want to create a strategy to go long when:
A 5-period SMA crosses above a 100-period EMA.
RSI is above 20.
The Stochastic Oscillator is above 95.
Trend Confirmation Mode is on.
For short:
A 5-period SMA crosses below a 100-period EMA.
RSI is below 45.
The Stochastic Oscillator is below 5.
Trend Confirmation Mode is on.
Here’s how you would set it up in Tradebuilder:
use_ma = true
ma_cross_type = "MA/MA"
ma_length = 5
ma_type = "SMA"
ma_length2 = 100
ma_type2 = "EMA"
use_rsi = true
rsi_length = 14
rsi_overbought = 20
rsi_oversold = 45
use_stoch = true
stoch_k = 8
stoch_d = 1
stoch_smooth = 1
stoch_overbought = 95
stoch_oversold = 5
confirm_trend = true
trade_long = true
trade_short = false
Alerts
Here is how to set TradeBuilder alerts: open a TradingView chart, attach TradeBuilder, right-click on chart -> Add Alert. Condition: Symbol (e.g. NQ) >> TradeBuilder >> Open-Ended Alert >> Once Per Bar Close.
Development Roadmap
We plan to add many more compoundable indicators to TradeBuilder over the coming months from all walks of technical analysis, including Volume, Volatility, Trend Detection/Validation, Momentum, Divergences, Chart Patterns, Support/Resistance Analysis. etc.
NASDAQ 100 Peak Hours StrategyNASDAQ 100 Peak Hours Trading Strategy
Description
Our NASDAQ 100 Peak Hours Trading Strategy leverages a carefully designed algorithm to trade within specific hours of high market activity, particularly focusing on the first two hours of the trading session from 09:30 AM to 11:30 AM GMT-5. This period is identified for its increased volatility and liquidity, offering numerous trading opportunities.
The strategy incorporates a blend of technical indicators to identify entry and exit points for both long and short positions. These indicators include:
Exponential Moving Averages (EMAs) : A short-term 9-period EMA and a longer-term 21-period EMA to determine the market trend and momentum.
Relative Strength Index (RSI) : A 14-period RSI to gauge the market's momentum.
Average True Range (ATR) : A 14-period ATR to assess market volatility and to set dynamic stop losses and trailing stops.
Volume Weighted Average Price (VWAP) : To identify the market's average price weighted by volume, serving as a benchmark for the trading day.
Our strategy uniquely applies a volatility filter using the ATR, ensuring trades are only executed in conditions that favor our setup. Additionally, we consider the direction of the EMAs to confirm the market's trend before entering trades.
Originality and Usefulness
This strategy stands out by combining these indicators within the NASDAQ 100's peak hours, exploiting the specific market conditions that prevail during these times. The inclusion of a volatility filter and dynamic stop-loss mechanisms based on the ATR provides a robust method for managing risk.
By focusing on the early trading hours, the strategy aims to capture the initial market movements driven by overnight news and the opening rush, often characterized by higher volatility. This approach is particularly useful for traders looking to maximize gains from short-term fluctuations while limiting exposure to longer-term market uncertainty.
Strategy Results
To ensure the strategy's effectiveness and reliability, it has undergone rigorous backtesting over a significant dataset to produce a sample size of more than 100 trades. This testing phase helps in identifying the strategy's potential in various market conditions, its consistency, and its risk-to-reward ratio.
Our backtesting adheres to realistic trading conditions, accounting for slippage and commission to reflect actual trading scenarios accurately. The strategy is designed with a conservative approach to risk management, advising not to risk more than 5-10% of equity on a single trade. The default settings in the script align with these principles, ensuring that users can replicate our tested conditions.
Using the Strategy
The strategy is designed for simplicity and ease of use:
Trade Hours : Focuses on 09:30 AM to 11:30 AM GMT-5, during the NASDAQ 100's peak activity hours.
Entry Conditions : Trades are initiated based on the alignment of EMAs, RSI, VWAP, and the ATR's volatility filter within the designated time frame.
Exit Conditions : Includes dynamic trailing stops based on ATR, a predefined time exit strategy, and a trend reversal exit condition for risk management.
This script is a powerful tool for traders looking to leverage the NASDAQ 100's peak hours, providing a structured approach to navigating the early market hours with a robust set of criteria for making informed trading decisions.
INFINITY ALGO🆕Meet the updated version of our flagship indicator, now it's INFINITY ALGO!
🏃🏻 QUICK START
In very simple terms, our indicator generates complex trading signals on your chart (buy/sell), including Entry Point, Take Profit levels, Stop Loss level
To start, you need to add our indicator to your chart , choose a timeframe (we recommend 13min,15min and 4h but you can try any, these only have the best results) and set up notifications (how to do it told below) and that's it, you can work with it even without changing the settings!
Of course, to improve the accuracy of signals you will have to choose the optimal settings of the script for each trading pair and timeframe (you can find a guide below)
📊 SIGNALS
This script will generate complex trading recommendations, both Long and Short (signals); signals include:
- Entry Point:
Calculated based on pivot levels with confirmation by EMA/SMA (you can select this in the settings); also bullish/bearish cup is checked to confirm the entry.
Additionally, in the settings you can enable Heiken Ashi calculation mode (it shows much better on some trading pairs).
Why do we mashup these components and how they work together?
- The main indicator in our script is pivot levels, it is enabled by default and cannot be disabled. Auxiliary indicators (which you can switch on and off in the script settings) are EMA/SMA and Heiken Ashi. We have used pivot levels, which mark potential support and resistance zones based on previous price action. We have also used EMA/SMA that smooth out price fluctuations and show the direction of the trend. We have added an option to use Heiken Ashi that filters out noise and highlights the trend. We have also checked for bullish/bearish cup patterns, which are reversal patterns that indicate a change in momentum. By combining these indicators, we have created a more robust entry point that considers multiple factors such as price levels, trend, noise, and momentum.
- 6 Take Profit levels:
It is also possible to change in the settings (It is also possible to change the values for Short or Long positions separately), it will be fixed values in % (The default Take Profits for Long&Short are as follows: TP1-0.3%; TP2-1%; TP3-2%; TP4-3%; TP5-7.5%; TP6-16.5%)
- Stop Loss Level:
As with Take Profits, this is a fixed % value that you can customise to suit your risk management needs (It is also possible to change the values for Short or Long positions separately, by default is 4.5% for Long&Short positions)
*When trading on these signals, we strongly recommend that you exit the position in parts at each take profit or close your entire position at one particular take profit. Our script was designed specifically for exiting a position on take profits
⚙️ SETTINGS
Now let's talk about the settings of this script, which allow you to customise the signals quite a lot. In general, we recommend selecting the settings for each trading pair and timeframe separately, this will allow you to achieve better targets accuracy (the default settings are universal, you can trade with them without changing them if you want)
-> IMAGE <-
1. Period - minimum value of 2. Increasing this parameter will increase the accuracy of signals, but will reduce their number (accordingly, lowering the parameter will do the opposite). For the majority of trading pairs and timeframes the optimal period will be between 5 and 10 (the default value is 5).
2. Maximum Breakout length (in bars) - for most trading pairs you can set the value from 200 to 300 and it will be optimal. Below 200 is not recommended
3. T hreshold Rate % - this value also affects the accuracy and the number of signals - the higher this value is, the more often signals will be generated, but it can negatively affect the accuracy. The minimum value is 3, and the maximum value is 10. We recommend to try values in the range from 4 to 7 for most tickers
4. Minimum Number of tests - the number of level checks is required, we recommend to try 2, and only for some timeframes increase to 3
5. MA type & MA filter - The shorter the length of moving averages, the faster they react to trend changes, and show more local trends than global ones. If the length of MAs is longer, more global trends are shown. By default, the most optimal values are set.
By the way, you can ask us for a ready-made preset for any pair and we will be happy to help you!
📄 BACKTESTING
Now let's talk about how to properly test the settings and evaluate their effectiveness. Our script has a c ustom built-in backtester that shows statistics on the current trading pair and allows you to calculate the accuracy of each take profit target, as well as calculate values such as Gross profit/loss, net profit, and the ratio of initial deposit to profit. (you can enable/disable backtester "statistics" label in main settings)
In the main settings you can change the values for: initial deposit (Deposit $), trade size $ and leverage (by the way, it also affects the display of the label "Peak profit", which is calculated with this leverage)
-> IMAGE <-
Now let's look at the backtester - it shows detailed statistics for each Take Profit level, including: accuracy in % and number of trades; gross profit & loss; net profit in % and $ (based on selected settings); deposit to profit ratio in % and $.
Why did we choose such properties in the backtest for publication?
- Well, as the initial capital we took 5000$ and deposit 3% (150$) of the initial capital in each trade. For the fee was taken the value from the exchange Binance, which is 0.06% per trade (Taker + Maker, for a user without VIP on Binance and without taking into account additional fees such as funding, leverage fees, etc).
- Please also take a look at our inbuilt backtester ( IMAGE ) which counts the accuracy to each Take Profit. Also note that our inbuilt backtester does not take any fees into account. Pay attention to the last field "Deposit with Profit" it shows the value if you would close all positions at a certain target. For example, we can see that the most optimal is TP3 at these settings for this trading pair and timeframe, as the deposit to profit ratio will be +61.2%
- Also the script is more designed for swing and long term trading, so on most trading pairs you will be able to see statistics for 60-90 trades dataset
*disclaimer: please note that past results does not guarantee future performance! The accuracy of take profit targets in our backtester is calculated on past results, keep this in mind please
📥 NOTIFICATIONS
We have provided notifications that will deliver the latest signals to you in a convenient format in TradingView. The notification looks like this: It contains the entry point, Take Profits, Stop Loss, and a bit of advice on risk management. -> IMAGE <-
To set up notifications:
1. Select the script settings, trading pair and timeframe
2. Click "add alert on InfinityAlgo", then select "alert () function calls only" in the settings
-> IMAGE <-
3. That's it, now all that's left is to wait for a fresh alert
🔑 HOW TO GET ACCESS
We hope you will like this script :) We are always ready to help you with customisation, just let us know! To learn more about our scripts & get access - check out the “Author’s instructions” below 👇🏼
LeafAlgo Premium Macro StrategiesA "macro score", as defined here, is created by giving various weights to different signals and adding them together to get one smooth score. Positive or negative values are assigned to each of the signals depending on if the statement is true or false (e.g. DPO > 0: +1, DPO < 0: -1). This manner of strategy allows for a subset of the available signals to be present at one time as opposed to every technical signal having to be active in order for a long/short signal to trigger.
This strategy contains SIX different macro score strategies -- "Base DFMA", "Base DFMG", "Ichimoku", "TSI", "Donchian DFMA", and "Donchian DFMG". These strategies have the signals and weights pre-determined in the code. The "Base DFMA" strategy is based on our Democratic Fibonacci Moving Average (DFMA) indicator; the "Donchian DFMA" is the same as the base DFMA strategy, but with a signal from our Donchian Cloud Score indicator as added confluence. The "Base DFMG" strategy is based on our Democratic Fibonacci McGinley Dynamics (DFMG) indicator; the "Donchian DFMG" is the same, but with the Donchian Cloud Score as added confluence. The "Ichimoku" strategy is based on the major sub-indicators found within an Ichimoku Cloud in addition to our Donchian Cloud Score. The "TSI" strategy is based on the True Strength Index.
The ability to select your strategy of choice can be found at the top of the strategy settings under "Strategy Options", then in the drop-down menu labeled "Strategy Choice".
The DFMA - Democratic Fibonacci Moving Average - is a separate indicator that we have released that takes 10 different Fibonacci MAs (lengths of 3 to 233, at Fibonacci intervals) and averages them to form the DFMA line. This helps by creating a consensus on the trend based on moving averages alone. Crossovers of the DFMA with the various Fib MA lengths as well as a cross of the price source and these lines can provide adequate long and short signals. In the two DFMA strategies, the heaviest weights have been given to crosses of the DFMA line/Fib MA (233) as well as the crosses of the Fib MA (3)/DFMA. Additionally, there are thresholds for DPO ( Detrended Price Oscillator , above or below 0), CMO ( Chande Momentum Oscillator , above or below 0), Jurik Volatility Bands (above or below 0), and Stoch RSI (above or below 50). These four signals hold a lighter weight than the MA cross signals. The macro score itself ranges between -10 and 10. In addition to the macro score line, a momentum line (sourced by the macro score itself) has been included. A crossover/crossunder of the macro score and the macro momentum line is included into the long/short signal syntax in addition to a threshold for the macro score.
The DFMG - Democratic Fibonacci McGinley Dynamics - is a separate indicator that we have released that takes 10 different Fibonacci McGinley Dynamic liness (lengths of 3 to 233, at Fibonacci intervals) and averages them to form the DFMG line. This helps by creating a consensus on the trend based on moving averages alone. Crossovers of the DFMG with the various Fib MG lengths as well as a cross of the price source and these lines can provide adequate long and short signals. This strategy has the signals and weights pre-determined in the code. Heaviest weights have been given to crosses of the DFMG line/ McGinley (233) as well as the crosses of the McGinley (3)/DFMG. Additionally, there are thresholds for DPO ( Detrended Price Oscillator , above or below 0), CMO ( Chande Momentum Oscillator , above or below 0), Jurik Volatility Bands (above or below 0), and Stoch RSI (above or below 50). These four signals hold a lighter weight than the McGinley cross signals. The macro score itself ranges between -10 and 10. In addition to the macro score line, a momentum line (sourced by the macro score itself) has been included. A crossover/crossunder of the macro score and the macro momentum line is included into the long/short signal syntax in addition to a threshold for the macro score.
For the Ichimoku macro score, five signals were considered and weighted equally:
- Kijun-sen < Ichimoku Source
- Tenkan-sen < Ichimoku Source
- Kijun-sen > Chikou-span
- Tenkan-sen > Kijun-sen
- Senkou Span A > Senkou Span B
In addition to these factors, the Ichimoku strategy utilizes the Donchian Cloud Score in the long and short entry signals. Thus, the Donchian Cloud settings are applicable to this strategy.
For the True Strength Index strategy, the heaviest weights have been given to various TSI signals, including a crossover/crossunder of TSI signal and TSI value, a threshold for the TSI Signal (above or below 0), and a crossover/crossunder of the CMO ( Chande Momentum Oscillator ) and the TSI signal line. Additionally, there are thresholds for DPO ( Detrended Price Oscillator , above or below 0), Jurik Volatility Bands (above or below 0), and Stoch RSI (above or below 50). These three signals hold a lighter weight than the three TSI signals. The macro score itself ranges between -10 and 10. In addition to the macro score line, a momentum line (sourced by the macro score itself) has been included. A crossover/crossunder of the macro score and the macro momentum line is included into the long/short signal syntax in addition to a threshold for the macro score.
The Donchian Cloud Score is derived from a set of 5 Donchian channels (upper, lower, and basis plotted) defaulted to lengths of 25, 50, 100, 150, and 200. A set of conditions associated with the channels aims to determine ranging versus trending markets. Weights are given to these conditions accordingly, then tallied up to determine the "cloud score", ranging between -25 and 25. In general, a ranging market is determined by a cloud score between -10 and 10, while a positive trending market has a score higher than 10 and a negative trending market has a score lower than -10. That said, long and short thresholds similar to the macro score itself are included in the user settings and set to a default of 5 or -5. The cloud score is plotted as a line in the underlay with coloration reflecting ranging or trending markets (green color above the long threshold, gray between the thresholds, and red below the short threshold). The cloud score is incorporated into the strategy syntax for long and short positions in that the score must be above or below the set threshold for a trade to be placed. A breakdown for the Donchian scoring is as follows:
- Broke the 25-length DC (DC(25)) upper band in the previous 3 bars - +1 if true, 0 if false
- Broke the DC(50) upper band in the previous 3 bars - +2 if true, 0 if false
- Broke the DC(100) upper band in the previous 3 bars - +3 if true, 0 if false
- Broke the DC(150) upper band in the previous 3 bars - +4 if true, 0 if false
- Broke the DC(200) upper band in the previous 3 bars - +5 if true, 0 if false
- Broke the DC(25) lower band in the previous 3 bars - -1 if true, 0 if false
- Broke the DC(50) lower band in the previous 3 bars - -2 if true, 0 if false
- Broke the DC(100) lower band in the previous 3 bars - -3 if true, 0 if false
- Broke the DC(150) lower band in the previous 3 bars - -4 if true, 0 if false
- Broke the DC(200) lower band in the previous 3 bars - -5 if true, 0 if false
- DC(25) basis line above the DC(50) basis line - +1 if true, -1 if false
- DC(25) basis line above the DC(100) basis line - +1 if true, -1 if false
- DC(25)basis line above the DC(150) basis line - +1 if true, -1 if false
- DC(25) basis line above the DC(200) basis line - +1 if true, -1 if false
- DC(50) basis line above the DC(100) basis line - +1 if true, -1 if false
- DC(50) basis line above the DC(150) basis line - +1 if true, -1 if false
- DC(50) basis line above the DC(200) basis line - +1 if true, -1 if false
- DC(100) basis line above the DC(150) basis line - +1 if true, -1 if false
- DC(100) basis line above the DC(200) basis line - +1 if true, -1 if false
- DC(150) basis line above the DC(200) basis line - +1 if true, -1 if false
Thresholds for both the respective macro score and the Donchian Cloud score have been included. Entry signals for each strategy require the score to be >= the respective thresholds for longs and <= the respective thresholds for shorts.
Additionally, a normalized z-score has been included. The z-score does not affect the entry and exit signals, however, it is displayed on the chart in the form of bar coloration. The z-score has been normalized to a range of -1 to +1. A z-score under -0.60 is displayed as a red bar color, a score between -0.60 and -0.2 is displayed as an orange bar color, a score between -0.2 and 0.2 is displayed as a gray bar color, a score between 0.2 and 0.6 is displayed as a lime bar color, and a score over 0.6 is displayed in green.
Data for each respective strategy will be displayed in an overlaid table. This includes the factors that comprise the macro score of choice, the values of each signal that adds up to the macro score, the macro score itself, the value of the momentum line of the macro score, the normalized z-score value, and the Donchian Cloud score (if applicable). Green coloration notes bullish sentiment within the signals or values, gray coloration is neutral, and red coloration notes bearish sentiment.
Take profit, stop loss, and trailing percentages are also included, found at the bottom of the Input tab under “TT and TTP” as well as “Stop Loss”. The take profit and stop loss levels will be reflected as green and red lines respectively on the chart as they occur. Make sure to understand the TP/SL ratio that you desire before use, as the desired hit rate/profitability percentage will be affected accordingly. The option for adding in a trailing stop has also been included, with options to choose between an ATR-based trail or a percentage-based trail. This strategy does NOT guarantee future returns. Apply caution in trading regardless of discretionary or algorithmic. Understand the concepts of risk/reward and the intricacies of each strategy choice before utilizing them in your personal trading.
Profitview/Pineconnector Settings:
If you wish to utilize Profitview’s automation system, find the included “Profitview Settings” under the Input tab of the strategy settings menu. If not, skip this section entirely as it can be left blank. Options will be “OPEN LONG TITLE”, “OPEN SHORT TITLE”, “CLOSE LONG TITLE”, and “CLOSE SHORT TITLE”. If you wished to trade SOL, for example, you would put “SOL LONG”, “SOL SHORT”, “SOL CLOSE LONG”, and “SOL CLOSE SHORT” in these areas. Within your Profitview extension, ensure that your Alerts all match these titles. To set an alert for use with Profitview, go to the “Alerts” tab in TradingView, then create an alert. Make sure that your desired asset and timeframe are currently displayed on your screen when creating the alert. Under the “Condition” option of the alert, select the strategy, then select the expiration time. If using TradingView Premium, this can be open-ended. Otherwise, select your desired expiration time and date. This can be updated whenever desired to ensure the strategy does not expire. Under “Alert actions”, nothing necessarily needs to be selected unless so desired. Leave the “Alert name” option empty. For the “Message”, delete the generated message and replace it with {{strategy.order.alert_message}} and nothing else. If using Pineconnector, follow the same directions for setting up an alert, but use the ",buy,,risk=" syntax as noted in the tooltips.
Investments/swing trading strategy for different assetsStop worrying about catching the lowest price, it's almost impossible!: with this trend-following strategy and protection from bearish phases, you will know how to enter the market properly to obtain benefits in the long term.
Backtesting context: 1899-11-01 to 2023-02-16 of SPX by Tvc. Commissions: 0.05% for each entry, 0.05% for each exit. Risk per trade: 2.5% of the total account
For this strategy, 5 indicators are used:
One Ema of 200 periods
Atr Stop loss indicator from Gatherio
Squeeze momentum indicator from LazyBear
Moving average convergence/divergence or Macd
Relative strength index or Rsi
Trade conditions:
There are three type of entries, one of them depends if we want to trade against a bearish trend or not.
---If we keep Against trend option deactivated, the rules for two type of entries are:---
First type of entry:
With the next rules, we will be able to entry in a pull back situation:
Squeeze momentum is under 0 line (red)
Close is above 200 Ema and close is higher than the past close
Histogram from macd is under 0 line and is higher than the past one
Once these rules are met, we enter into a buy position. Stop loss will be determined by atr stop loss (white point) and break even(blue point) by a risk/reward ratio of 1:1.
For closing this position: Squeeze momentum crosses over 0 and, until squeeze momentum crosses under 0, we close the position. Otherwise, we would have closed the position due to break even or stop loss.
Second type of entry:
With the next rules, we will not lose a possible bullish movement:
Close is above 200 Ema
Squeeze momentum crosses under 0 line
Once these rules are met, we enter into a buy position. Stop loss will be determined by atr stop loss (white point) and break even(blue point) by a risk/reward ratio of 1:1.
Like in the past type of entry, for closing this position: Squeeze momentum crosses over 0 and, until squeeze momentum crosses under 0, we close the position. Otherwise, we would have closed the position due to break even or stop loss.
---If we keep Against trend option activated, the rules are the same as the ones above, but with one more type of entry. This is more useful in weekly timeframes, but could also be used in daily time frame:---
Third type of entry:
Close is under 200 Ema
Squeeze momentum crosses under 0 line
Once these rules are met, we enter into a buy position. Stop loss will be determined by atr stop loss (white point) and break even(blue point) by a risk/reward ratio of 1:1.
Like in the past type of entries, for closing this position: Squeeze momentum crosses over 0 and, until squeeze momentum crosses under 0, we close the position. Otherwise, we would have closed the position due to break even or stop loss.
Risk management
For calculating the amount of the position you will use just a small percent of your initial capital for the strategy and you will use the atr stop loss for this.
Example: You have 1000 usd and you just want to risk 2,5% of your account, there is a buy signal at price of 4,000 usd. The stop loss price from atr stop loss is 3,900. You calculate the distance in percent between 4,000 and 3,900. In this case, that distance would be of 2.50%. Then, you calculate your position by this way: (initial or current capital * risk per trade of your account) / (stop loss distance).
Using these values on the formula: (1000*2,5%)/(2,5%) = 1000usd. It means, you have to use 1000 usd for risking 2.5% of your account.
We will use this risk management for applying compound interest.
In settings, with position amount calculator, you can enter the amount in usd of your account and the amount in percentage for risking per trade of the account. You will see this value in green color in the upper left corner that shows the amount in usd to use for risking the specific percentage of your account.
Script functions
Inside of settings, you will find some utilities for display atr stop loss, break evens, positions, signals, indicators, etc.
You will find the settings for risk management at the end of the script if you want to change something. But rebember, do not change values from indicators, the idea is to not over optimize the strategy.
If you want to change the initial capital for backtest the strategy, go to properties, and also enter the commisions of your exchange and slippage for more realistic results.
If you activate break even using rsi, when rsi crosses under overbought zone break even will be activated. This can work in some assets.
---Important: In risk managment you can find an option called "Use leverage ?", activate this if you want to backtest using leverage, which means that in case of not having enough money for risking the % determined by you of your account using your initial capital, you will use leverage for using the enough amount for risking that % of your acount in a buy position. Otherwise, the amount will be limited by your initial/current capital---
Some things to consider
USE UNDER YOUR OWN RISK. PAST RESULTS DO NOT REPRESENT THE FUTURE.
DEPENDING OF % ACCOUNT RISK PER TRADE, YOU COULD REQUIRE LEVERAGE FOR OPEN SOME POSITIONS, SO PLEASE, BE CAREFULL AND USE CORRECTLY THE RISK MANAGEMENT
Do not forget to change commissions and other parameters related with back testing results!
Some assets and timeframes where the strategy has also worked:
BTCUSD : 4H, 1D, W
SPX (US500) : 4H, 1D, W
GOLD : 1D, W
SILVER : 1D, W
ETHUSD : 4H, 1D
DXY : 1D
AAPL : 4H, 1D, W
AMZN : 4H, 1D, W
META : 4H, 1D, W
(and others stocks)
BANKNIFTY : 4H, 1D, W
DAX : 1D, W
RUT : 1D, W
HSI : 1D, W
NI225 : 1D, W
USDCOP : 1D, W
MZ HTF HFT ROCit Bot - Non Repainting Scalper v1.2 ADX RSI MOM This is a new iteration based on my Momentum trading bot.
This is an original script meant to be a high frequency trader that works on higher time frame calculations.
I came up with the idea that using calculus I can figure out the actual rate of change and momentum with different calculations than the momentum indicator that is provided by trading view. Once momentum is shifted on a small time frame, it will provide an entry signal. The script is meant to be used on an algorithmic trading system for scalping purposes. It should be run on a one minute time frame. Unfortunately due to various plotting constraints in Pinescript, you cannot plot the rate of change and momentum and price in the same pane. To counter this, I have a showdata toggle to give you values of the indicators at each entry.
This version has two main entry settings toggled with a checkbox. There is the ROC (rate of change) version and the MOM (momentum) entry signals.
The rate of change version is meant to take a look at your moving average and try to trigger when it hits a certain rate of change point. This can be helpful if you rather play it safer. I have noticed that you can get slightly better entry points but also does not give you as many entries. The momentum algorithm will give you faster entry points and might work best with a slight offset (use your back test to help you figure it out).
I have started to add tooltips to help you along. If you have suggestions please let me know.
How does it work?
Let's just assume that you are looking at a one minute chart. I recommend using the one minute for bots because it will give you the fastest execution for entries. Pinescript has an issue where the signal is not usually sent until the end of the bar/beginning of next bar. If the signal was triggered at the beginning of a 15 minute bar, it might not actually send the signal until the following 15 minute bar. If you are trading on small time frames, this can make all the difference. If you are using an algo platform that trailing stops, stop losse, take profits, etc. I would recommend you use that platform to close your trade. The close trade message will work, but pinescript does not know the exact entry price you received, so if you are trying to collect small profits, it is best that intermediary platform does that calculation for you. If you are dealing with larger moves, instead of small 1-3% scalps, you are probably fine to use the close message setting from pinescript.
Ok, so to take an example. I like to use the 3L and 3S tokens on Kucoin. This gives you a lot of volatility to work with compared to other tokens and coins. However, it can also meas that you are likely taking a higher risk. However, there are some things that can help with that (more on that later).
So we have a token we want to run, and have it on the 1m chart.
First, be sure that all of your filters are OFF when you start playing with the back test. This allows you to see how to best optimize the bot.
Use the show data to show you additional data when you are backtesting. This can allow you to try to filter out results or market conditions that do not work. I typically work with the RSI and use the 30 minute and 15 minute RSIs. I make sure that it is trading within a certain band - about 40-75. You can try the inverse and only buy during really low RSI's as well.
www.dropbox.com
Find the source of your data with the variant drop down. You can use any time frame, open, close. high, low, olc4. Open is pretty much guaranteed to not have any repainting issues - although all the other calcs use a custom isbarconfirmed security repaint calculation. I have been finding that Open and SMA work well, but feel free to explore. If you use a source like open, close, high, low, etc - the interval will not change anything further. If you use a variant such as an sma, you should try to find an interval that works well for that token. For instance, try an sma of 8-11 minutes and see which gives you the best backtest result without changing anything else. Offset ALMA/LSMA parameters are only used for those specific variants. These specific parameters will also affect the ALMA and LSMA if you use that variant in the trend filter. In other words, you can skip these if you are not using those types of moving averages.
www.dropbox.com
Configure the ROC and MOM intervals. If you are using a source such as open, close, etc- this is where you set the interval for your change. So consider using OHLC4 or a interval of 5 thru 15 and see what works best. The Momentum inverval usually works best in the 2-5 bars. There is a custom calculation I added in to try to filter out false entries as momentum is waning. This calculation works best in 2-5 bar interval.
Configure the trigger point and offset. If you are using rate of change, the best settings will likely be between -1 to 0.5. If you are using momentum, you will likely want -20 to 10. This is where you will notice the entries will shift a bit. Try to find a balance between your backtest settings and actually finding what you thin will be the best entries based on a slight delay from trading view, to algo, to your trading platform. This can likely be a minute (maybe even) or so- so be sure to not get too caught up between the backtest results and be sure to finesse the entries to actually fit nicely - maybe a bar earlier than you would likely think. If your entries are coming in too early, you can use the offset to delay your entry by a few bars. This is both science and an art form- don't get too caught up on the back test results as that is based on having all the data tha already transpired, it's not based on how it will actually perform during deployment.
Take profit and stop loss. This should be self explanatory. This script can toggle between static take profit and a trailing profit. For scalping, you will likely want to limit it below 2% to get a good win ratio. Stop loss should be at least 5-6% for these types of 3L/3S tokens to give the strategy some room to move (if the token goes down 2% before it shoots back up, the price will go down 6%). This does not yield the best R/R ratio from a traditional trader perspective, but the statistical probabilities are in your favor for these events will happen. If you have better ideas for how to set this all up, feel free to contribute your ideas in the comments as we can all learn from each other. You can definitely set a much tighter stop loss with a larger take profit to get a lower win rate but in turn might get much better returns. It's all up to you.
FILTERS www.dropbox.com
These filters require you to know a bit about each indicator and how you want to use them. I will only go over the general idea.
Variant Filter - this is especially useful if you want to trade above a moving average. Say for instance you only want to take trades when we are over the 100 Day moving average. Or above a 30 minute, 30 bar EMA, etc. Although originally ported over from my other scripts, this is not a filter that I use often in conjunction with this script.
RSI - perhaps you want to buy when we are below the 30 line on the 30 minute RSI, or we want only want to have the strategy work when we are above the 50 RSI, this can all be configured here. I typically like to try a few different rationales here.
Now with brand NEW ADX filter - this is a brand new idea that seems to work rather well. Based on your ADX settings you can also turn on the "only uptrend" which will try to calculate if you are in an uptrend based on your ADX config. Please keep in mind that uptrend is based relatively on the ADX settings.
- There is a sprinkle of RSI magic in the entry signal to make sure that rsi is not declining in the calculation, so this can affect how many entries you get.
Some other tips:
Forward test.
Set up your algo bot on a one minute interval.
Set up take profit and stop loss on your algo trading platform.
Don't use the exact settings as your backtest, maybe try a slightly more conservative approach from the algo trading platform to make sure you are within range of triggering your events with a slight delay from signal to execution. If you have a 1.6% take profit, perhaps try 1.5% on your platform first.
By using these scripts you agree that you are trading at your own risk. I make no guarantees of returns or results. I just provide tools to help you trade better. However, I hope this ROCit will take you to the moon. And if it does, be sure to give me a shout as well as some tips of your own.
Send me a message with any questions or suggestions.
MarketCipher B Wavetrend DivergencesCreated for the MarketCipher Community and friends :)
I have published this before but it was taken down by Tradingview and PineCoders because they wanted a more in depth description so here it is:
This strategy is mainly based on Wavetrend Oscillator by LazyBear / blue momentum waves on MarketCipher B.
The Wavetrend indicator is a combination of 2 oscillator lines that signals the short term direction of the price once the lines cross. The Wavetrend indicator is useful but only once a divergence has been identified based on the crosses and the price which is what this strategy partly uses to open trades.
Here is a list and description of the different conditions that goes into the entries and exits.
Long trade:
1) Bullish divergence, regular or hidden
2) Price is above Exponential Moving Average
3) Chande Momentum Oscillator value is above x
Short trade:
1) Bearish divergence, regular or hidden
2) Price is below Exponential Moving Average
3) Chande Momentum Oscillator value is below x
The Exponential Moving Average (EMA) is a type of moving average that is price based, lagging (or reactive) indicator that displays the average price of a security over a set period of time. The EMA is however different from a normal moving average and values the recent price action. A Moving Average is a good way to confirm trends which is what it is used for in this strategy. If enabled the strategy will only open long trades above the EMA and only short trades below the EMA.
The Chande Momentum Oscillator is a technical momentum indicator and was designed specifically to track the movement and momentum of a security. The oscillator calculates the difference between the sum of both recent gains and recent losses, then dividing the result by the sum of all price movement over the same period. In this strategy it is used like the EMA to filter out bad trades that goes against the trend. The EMA is better at trading the overall trend but the Chande Momentum Oscillator is a lot better at identifying short term market conditions that are favorable for entering at divergences.
One of the most important aspects when creating a trading strategy is to know when to take profit and to make it as dynamic as possible so that it changes to the market conditions. This is what i have tried to do and the reason why this divergence trading strategy works well.
These are the 3 different exit conditions:
1) A dynamic take profit that will signal a short term trend reversal that is based on pivot points and moving averages.
2) Another dynamic take profit based on pivot points that like the previous take profit is used to determine and anticipate potential changes in market price and reversals.
3) A normal % fixed take profit
Photo of what the dynamic take profit looks like on the chart:
The pivot pointexit comes from this indicator that i have helped update and modify from the original script:
When you have found the right settings you can insert the messages from your automatic trading platform at the bottom of the inputs and then create an alert with your unique webhook address along with the alert message below:
{{strategy.order.alert_message}}
I hope this strategy will be useful to automate part of your trading or help you identify and backtest divergences for your manual trading.
Future updates to come.
Enjoy!
MACandles-LinearRegression-StrategyThis is combination of multiple indicators and strategies. Mainly useful for indexes and to time the entry and exits of indexes. No stoploss used - makes it less desirable for leveraged trades or trading individual stocks.
Let us rewind and look back at some of the indicators/strategies published earlier.
1. Moving Average Candles - this is one of my favourite tool for general trend filtering. Applying supertrend on moving average candles is one of the easiest ways to find reversal in trending market without exiting positions too early. Few scripts published on this basis are:
MA Candles Supertrend
MA Candles Supertrend Strategy
2. VixFix and Linear Regression - this itself is combination of two indicators.
Williams-Vix-Fix-Finds-Market-Bottoms - by @ChrisMoody
Squeeze-Momentum-Indicator - by @LazyBear
I have combined these two indicators to derive VIX-Fix linear regression to find absolute market bottoms. More description here:
VixFixLinReg-Strategy
VixFixLinReg-Indicator
Now, in this strategy, we combine all these together.
Derive moving average candles
Derive momentum of moving average candles
Derive Linear regression on momentum
Optionally, also calculate VIX Fix and Linear regression on VixFix momentum
To find market bottom:
There are two options
1. Use when momentum of MA candles hit bottom (red) and slowly turn up (orange). In aggressiveLong mode, signals are also generated when momentum starts going positive from negative.
2. Use Vix Fix linear regression of MA candles as described in the original script of VixFixLinReg-Strategy
To find market top
Here only Ma candles momentum decreasing is used as signal. If looking for longTrades , exit signal is generated only when momentum is turning negative extreme(orange). Or else, exit signal is generated when momentum has turned neutral.
At this stage, it is very much experimental - use it with caution :)
DEMA/EMA & VOLATILITY (VAMS)The biggest issue with momentum following strategies is over signaling during whipsaw periods. I created this strategy that measure momentum with DEMA (Fast Moving) and EMA (Slow moving). In order to mitigate over signaling during whipsaw periods I implemented the average true range percentage (ATRP) to measure realized volatility. If momentum is picking up while volatility is under a certain threshold it purchases the security. If momentum slows while volatility picks up it sells the security. Additionally, if momentum picks up, but volatility is high, it stays out of the security. This follows the theory that during sustained uptrends volatility will decrease, and during market corrections the volatility picks up. Following the old adage that markets climb up the stairs, and fall out the window. Note that this strategy does repaint due to it entering and closing positions at the close of the bars. I forgot to mention how volatility is measured high vs low. If the ATRP is above the EMA of the ATRP the strategy interprets the volatility is increasing and does not enter the security & Vice Versa for selling (with momentum signal of MAs)
This is just my first strategy, any feedback would be much appreciated.
TopTenAlgo 10. SQZMOM Algorithmic Strategy with Alerts & SignalsEN: This Algorithm is a derivative of John Carter's "TTM Squeeze" volatility indicator. Many strategists have taken the indicator on Tradingview with simple moving averages and have looked at the biggest mistake only by dealing with squeeze and exit processes to squeeze. But I used the algorithm to determine where the markets would actually explode. For example, instead of using SMAs , I tested them on the Linear Regression Curve using Volume Weighted Moving Averages and Hull MAs. This gave me the opportunity to develop a more responsive algorithm and identify where the actual explosion would occur. The Gray Circles in the midline show that the market is entering a new jam (in the Bollinger Bands and Keltner Channel). This means low volatility , the market prepares itself for an explosive move (up or down). White Circles mean that it is about to get out of the jam. The Blue Circles, which no one can calculate, now inform that the exit is no longer jammed and that the explosion has taken place.
Mr. Carter recommends that you wait until the first gray after a gray cross and take a position in the momentum direction (for example, if the momentum value is above zero, relax). Exit position when the momentum changes (increase or decrease, this is indicated by a color change). In this algorithm, I tried to achieve good entry points using an additional indicator such as ADX and WaveTrend. To draw the histogram, I used a different method based on Linear Regression . Mr.Carter uses a simple momentum indicator. Strategy, alarms and signals have been added to the indicator so that you can optimize in algorithmic trading.
In summary, this algorithm is a strict algorithm in which additional 4-5 indicators are blended. Conveniences for Everyone ...
TR: Bu Algoritma John Carter'ın "TTM Squeeze" volatilite göstergesinin bir türevidir. Bir çok stratejist Tradingview' de gösterge' yi basit hareketli ortalamalarla ele almış ve en büyük hatayı sadece sıkışma ve sıkışmadan çıkış süreçlerini ele alarak bakmışlardır. Fakat ben algoritmayı piyasaların asıl patlama yapacağı yeri tespit etmek için kullandım. Örneğin SMA' ları kullanmak yerine Hacim Ağırlıklı Hareketli Ortalamaları ve Hull MA' ları kullanarak onları Linerar Regresyon Eğrisinde stress testine tabi tuttum. Buda bana daha duyarlı bir algoritma geliştirmem ve asıl patlamanın olacağı yerleri tespit etmem için fırsat verdi. Orta hattaki Gri Daireler, piyasanın yeni bir sıkışmaya girdiğini gösteriyor ( Bollinger Bantları ve Keltner Kanalı'nda). Bu, düşük volatilite anlamına gelir, piyasa kendisini patlayıcı bir harekete hazırlar (yukarı veya aşağı). Beyaz Daireler ise sıkışmadan çıkmak üzere olduğu anlamına gelir. Hiç kimsenin hesap edemediği Mavi Daireler ise artık sıkışmadan çıkıldığını ve patlamanın gerçekleştiğini haber verir.
Mr.Carter, gri bir çarpı işaretinden sonra ilk griye kadar beklemenizi ve momentum yönünde bir pozisyon almanızı önerir (örneğin, momentum değeri sıfırın üstünde ise, rahat olun). Momentum değiştiğinde pozisyondan çıkın (artırma veya azaltma, bunu o bir renk değişikliği ile belirtilir). Bu algoritmada ben, ADX ve WaveTrend gibi ek bir gösterge kullanarak iyi giriş noktalarıelde etmeye çalıştım. Histogramı çizmek için ise Linear Regresyon tabanlı farklı bir yöntem kullandım. Mr.Carter basit bir momentum göstergesi kullanır. Göstergeye algoritmik işlemlerde optimizasyon yapabilmeniz için strateji, alrmlar ve sinyaller eklenmiştir.
Özetle bu algoritma ek 4-5 göstergenin harmanlandığı sıkı bir algoritmadır. Herkese Kolaylıklar dilerim...
S&P Bear Warning IndicatorTHIS SCRIPT HAS BEEN BUILT TO BE USED AS A S&P500 SPY CRASH INDICATOR ON A DAILY TIME FRAME (should not be used as a strategy).
THIS SCRIPT HAS BEEN BUILT AS A STRATEGY FOR VISUALIZATION PURPOSES ONLY AND HAS NOT BEEN OPTIMIZED FOR PROFIT.
The script has been built to show as a lower indicator and also gives visual SELL signal on top when conditions are met. BARE IN MIND NO STOP LOSS, NOR ADVANCED EXIT STRATEGY HAS BEEN BUILT.
As well as the chart SELL signal an alert option has also been built into this script.
The script utilizes a VIX indicator (maroon line) and 50 period Momentum (blue line) and Danger/No trade zone(pink shading).
When the Momentum line crosses down across the VIX this is a sell off but in order to only signal major sell offs the SELL signal only triggers if the momentum continues down through the danger zone.
A SELL signal could be given earlier by removing the need to wait for momentum to continue down through the Danger Zone however this is designed only to catch major market weakness not small sell offs.
As you can see from the picture between the big October 2018 and March 2020 market declines only 2 additional SELLS were triggered.
To use this indicator to identify ideal buying then you should only buy when Momentum line is crossed above the VIX and the Momentum line is above the Danger Zone (ideally 3 - 5 days above danger zone)
TRIX strategy (lirshah)TRIX is an indicator that combines trend with momentum. The triple smoothed moving average covers the trend, while the 1-period percentage change measures momentum. In this regard, TRIX is similar to MACD and PPO. The standard setting for TRIX is 15 for the triple smoothed EMA and 9 for the signal line.
this strategy gives signals according to TRIX plot movement and has good resaults on xbtusd,btcusd, ethusd ,and ...
🔥 Volatility Squeeze Breakout Strategy (TP/SL in Points)This strategy is designed to catch explosive breakout moves from low-volatility consolidations using a "volatility squeeze" + breakout + momentum" approach. It identifies high-probability buy opportunities when the market is in a tight range and preparing for expansion.
✅ Entry Condition:
- Previous candle is in a squeeze
- Current candle breaks above channel high
- Momentum is positive (ROC)
🎯 Exit Conditions:
- Take Profit in fixed points above entry price
- Stop Loss in fixed points below entry price
🧰 Inputs:
- ATR Length for volatility
- Channel Length for breakout levels
- ROC Length for momentum
- Squeeze threshold (ATR/close)
- TP/SL in absolute price points
📊 Plots:
- Buy signals shown as green triangles
- Channel high/low plotted
- TP/SL levels shown as live lines when in position
Suitable for intraday breakout scalping or directional trades
when price expands from compression zones.
3H CLSK Long-OnlyBitcoin-Miner Momentum Strategy for High Volatility
Critical Automation Requirement
⚠ Options Component Must Be Automated via Broker API
This strategy combines:
- High-Frequency Options Signals (requires sub-second execution)
- 3H Swing Trade Alerts (manual execution acceptable)
Key Features
✔ CLSK-Specific Volatility Adaptation:
4-period VIDYA + 8-momentum CMO react to CLSK’s news-driven spikes
2x ATR bands dynamically adjust to Bitcoin’s price action (200-period)
✔ Institutional-Grade Filters:
Zero-Lag EMA crossover confirms trend before VIDYA band breaks
3H timeframe captures CLSK’s characteristic afternoon rallies
Risk Disclosures
Why 100% Equity Allocation?
CLSK’s 3x average daily volume (vs. peers) ensures liquidity
Strategy tested on $10k+ accounts (PDT-compliant sizing)
200-period ATR bands prevent overexposure in choppy markets
Why 0.1% Commission?
Matches real-world trading fees:
IBKR: 0.05-0.1% for stocks (CLSK avg. spread = $0.03)
TradeZero: 0.1% for high-volatility small-caps
Alpaca: 0.0% base + ECN fees ≈ 0.08-0.12%
Why This Strategy is Unique
Bitcoin-Miner Alpha: Tailored to CLSK’s 0.82 BTC correlation
Dual-Confirmation Logic: VIDYA + Zero Lag EMA reduce false signals
3H Optimization: Captures CLSK’s post-market-open momentum surges
Execution Protocol
Green "Buy" Labels: Enter when VIDYA & ZLEMA align bullish
Red "Sell" Labels: Exit on bearish confirmation (manual OK)
API Automation: Recommended for <3H holds (CLSK gaps frequently)
Justification for Invite-Only Status
This indicator is offered as an Invite-Only script under PineAlpha Premium
Legal Disclaimer
This indicator is for educational purposes only and not financial advice. Crypto trading involves extreme volatility and risk of total loss. PineAlpha is not responsible for losses. Consult a licensed crypto advisor before trading.
3H ETH Long-OnlyDual-Mode Volatility Adaptive Strategy
Critical Automation Requirement
⚠ Options Component Must Be Automated via Broker API
This strategy combines:
- High-Frequency Options Signals (requires sub-second execution)
- 3H Swing Trade Alerts (manual execution acceptable)
Key Features
✔ ETH-Specific Volatility Adaptation:
VIDYA bands dynamically adjust to ETH's characteristic daily volatility
Zero-Lag EMA (59-period) optimized for crypto's 24/7 markets
✔ Institutional-Grade Timing:
200-period ATR bands trigger entries within 3 candles of volatility expansion
Momentum-confirmed entries reduce false signals in choppy markets
Risk Disclosures
Why 100% Equity Allocation?
ETH's high volatility justifies full-position sizing for momentum captures
Strategy includes built-in volatility filters (VIDYA + ATR bands)
Designed for $100k+ accounts (meets crypto margin requirements)
Why 0.1% Commission?
Matches real-world crypto trading fees:
IBKR Crypto: 0.08-0.12% (tiered volume)
Binance: 0.1% spot trading fee
Coinbase Pro: 0.15% maker/taker
Why This Strategy is Unique
Dual-Timeframe Logic: Combines:
Short-term options signals (automated)
3H swing trades (manual)
Volumatic™ Adaptive Bands: Self-adjusting to ETH's changing volatility regimes
Institutional Backtest Profile: 2.8:1 risk-reward ratio in ETH's characteristic momentum bursts
Execution Protocol
Red Labels: Swing trade sell signals (manual OK)
Green Labels: Swing trade buy signals (manual OK)
Options Signals: Must be automated via API (alpaca/ibkr)
Justification for Invite-Only Status
This indicator is offered as an Invite-Only script under PineAlpha Premium
Legal Disclaimer
This indicator is for educational purposes only and not financial advice. Crypto trading involves extreme volatility and risk of total loss. PineAlpha is not responsible for losses. Consult a licensed crypto advisor before trading.
Zero Lag Trend Strategy (MTF) [AlgoAlpha]# Zero Lag Trend Strategy (MTF) - Complete Guide
## Overview
The Zero Lag Trend Strategy is a sophisticated trading system that combines zero-lag exponential moving averages with volatility bands and EMA-based entry/exit filtering. This strategy is designed to capture trending movements while minimizing false signals through multiple confirmation layers.
## Core Components
### 1. Zero Lag EMA (ZLEMA)
- **Purpose**: Primary trend identification with reduced lag
- **Calculation**: Uses a modified EMA that compensates for inherent lag by incorporating price momentum
- **Formula**: `EMA(price + (price - price ), length)` where lag = (length-1)/2
- **Default Length**: 70 periods (adjustable)
### 2. Volatility Bands
- **Purpose**: Define trend strength and entry/exit zones
- **Calculation**: Based on ATR (Average True Range) multiplied by a user-defined multiplier
- **Upper Band**: ZLEMA + (ATR * multiplier)
- **Lower Band**: ZLEMA - (ATR * multiplier)
- **Default Multiplier**: 1.2 (adjustable)
### 3. EMA Filter/Exit System
- **Purpose**: Entry filtering and exit signal generation
- **Default Length**: 9 periods (fully customizable)
- **Color**: Blue line on chart
- **Function**: Prevents counter-trend entries and provides clean exit signals
## Entry Logic
### Long Entry Conditions
1. **Primary Signal**: Price crosses above the upper volatility band (strong bullish momentum)
2. **Additional Entries**: Price crosses above ZLEMA while already in an uptrend (if enabled)
3. **EMA Filter**: Price must be above the EMA filter line
4. **Confirmation**: All conditions must align simultaneously
### Short Entry Conditions
1. **Primary Signal**: Price crosses below the lower volatility band (strong bearish momentum)
2. **Additional Entries**: Price crosses below ZLEMA while already in a downtrend (if enabled)
3. **EMA Filter**: Price must be below the EMA filter line
4. **Confirmation**: All conditions must align simultaneously
## Exit Logic
**Simple and Clean**: Positions are closed when price crosses the EMA filter line in the opposite direction:
- **Long Exit**: Price crosses below the EMA filter
- **Short Exit**: Price crosses above the EMA filter
## Multi-Timeframe Analysis
The strategy includes a real-time table showing trend direction across 5 different timeframes:
- Default timeframes: 5m, 15m, 1h, 4h, 1D (all customizable)
- Color-coded signals: Green for bullish, Red for bearish
- Helps confirm overall market direction before taking trades
## Key Parameters
### Main Calculations
- **Length (70)**: Zero-lag EMA calculation period
- **Band Multiplier (1.2)**: Controls volatility band width
### Strategy Settings
- **Enable Additional Trend Entries**: Allow multiple entries during strong trends
- **EMA Exit Length (9)**: Period for the entry filter and exit EMA
### Timeframes
- **5 customizable timeframes** for multi-timeframe trend analysis
### Appearance
- **Bullish Color**: Default green (#00ffbb)
- **Bearish Color**: Default red (#ff1100)
## Visual Elements
### Chart Display
- **ZLEMA Line**: Color-coded trend line (green/red based on trend direction)
- **Volatility Bands**: Dynamic upper/lower bands that appear based on trend
- **EMA Filter**: Blue line for entry filtering and exits
- **Entry Signals**:
- Large arrows (▲▼) for primary trend signals
- Small arrows for additional trend entries
- Tiny letters (L/S) for actual strategy entries
### Information Table
- **Position**: Top-right corner
- **Content**: Real-time trend status across all configured timeframes
- **Updates**: Continuously updated with current market conditions
## Strategy Advantages
### Trend Following Excellence
- Captures strong trending moves with reduced whipsaws
- Multiple confirmation layers prevent false entries
- Dynamic bands adapt to market volatility
### Risk Management
- Clear, objective exit rules
- EMA filter prevents counter-trend trades
- Multi-timeframe confirmation reduces bad trades
### Flexibility
- Fully customizable parameters
- Works across different timeframes and instruments
- Optional additional trend entries for maximum profit potential
### Visual Clarity
- Clean, professional chart display
- Easy-to-read signals and trends
- Comprehensive multi-timeframe overview
## Best Practices
### Parameter Optimization
- **Length**: Higher values (50-100) for longer-term trends, lower values (20-50) for shorter-term
- **Band Multiplier**: Higher values (1.5-2.0) reduce signals but increase quality
- **EMA Length**: Shorter periods (5-13) for quick exits, longer periods (20-50) for trend riding
### Market Conditions
- **Trending Markets**: Enable additional trend entries for maximum profit
- **Choppy Markets**: Use higher band multiplier and longer EMA for fewer, higher-quality signals
- **Different Timeframes**: Adjust all parameters proportionally when changing chart timeframes
### Multi-Timeframe Usage
- Align trades with higher timeframe trends
- Use lower timeframes for precise entry timing
- Avoid trades when timeframes show conflicting signals
## Risk Considerations
- Like all trend-following strategies, may struggle in ranging/choppy markets
- EMA exit system prioritizes trend continuation over quick profit-taking
- Multiple timeframe analysis requires careful interpretation
- Backtesting recommended before live trading with any parameter changes
## Conclusion
The Zero Lag Trend Strategy provides a comprehensive approach to trend trading with built-in risk management and multi-timeframe analysis. Its combination of advanced technical indicators, clear entry/exit rules, and customizable parameters makes it suitable for both novice and experienced traders seeking to capture trending market movements.
ETH Compounder [crankyprofits]Overview
ETH Compounder is a 15-minute trading strategy built for Ethereum (ETH/USD), combining trend confirmation, momentum shifts, and structured risk management. This strategy is designed to catch trend breakouts with high conviction and compound profits using multiple take-profit levels.
Core Strategy Logic
Trend Direction: Uses Hull Moving Average to determine market bias.
Breakout Entry: Enters on price breakout above/below a Keltner Channel.
Momentum Trigger: Combines MACD and STC-style momentum to validate entry points.
Heikin Ashi Candles: Used internally to smooth price action for cleaner signals.
No Pyramiding: Only one trade at a time to avoid stacking entries during choppy markets.
Profit-Taking System
The strategy features a tiered take-profit system:
TP1: ~2% gain (100% in free version)
TP2–TP4: Additional tiers reserved for premium builds
This approach allows partial exits to lock in gains while letting remaining position ride the trend.
Risk Management
Default stop loss: ~4.75% from entry
Trailing stop based on Keltner channel and trend strength
Alerts included for Buy, Sell, and Close signals
Best Use Case
This script is optimized for ETH/USD on 15m timeframes. Tuned for Binance out of the box. Ideal for traders who want a semi-passive, momentum-based system that avoids constant screen-watching.
Alerts
Custom alerts are available for:
Buy Entry
Sell Entry
Exit Signal (TP or SL)
TP1–TP4 (for granular control)
Disclaimer
This script is for educational purposes only and does not constitute financial advice. Always backtest and use proper risk management before live trading.
Want to unlock premium features & get alerts? Join our Discord: discord.gg
TrendMaster Pro 2.3 with Alerts
Hello friends,
A member of the community approached me and asked me how to write an indicator that would achieve a particular set of goals involving comprehensive trend analysis, risk management, and session-based trading controls. Here is one example method of how to create such a system:
Core Strategy Components
Multi-Moving Average System - Uses configurable MA types (EMA, SMA, SMMA) with short-term (9) and long-term (21) periods for primary signal generation through crossovers
Higher Timeframe Trend Filter - Optional trend confirmation using a separate MA (default 50-period) to ensure trades align with broader market direction
Band Power Indicator - Dynamic high/low bands calculated using different MA types to identify price channels and volatility zones
Advanced Signal Filtering
Bollinger Bands Volatility Filter - Prevents trading during low-volatility ranging markets by requiring sufficient band width
RSI Momentum Filter - Uses customizable thresholds (55 for longs, 45 for shorts) to confirm momentum direction
MACD Trend Confirmation - Ensures MACD line position relative to signal line aligns with trade direction
Stochastic Oscillator - Adds momentum confirmation with overbought/oversold levels
ADX Strength Filter - Only allows trades when trend strength exceeds 25 threshold
Session-Based Trading Management
Four Trading Sessions - Asia (18:00-00:00), London (00:00-08:00), NY AM (08:00-13:00), NY PM (13:00-18:00)
Individual Session Limits - Separate maximum trade counts for each session (default 5 per session)
Automatic Session Closure - All positions close at specified market close time
Risk Management Features
Multiple Stop Loss Options - Percentage-based, MA cross, or band-based SL methods
Risk/Reward Ratio - Configurable TP levels based on SL distance (default 1:2)
Auto-Risk Calculation - Dynamic position sizing based on dollar risk limits ($150-$250 range)
Daily Limits - Stop trading after reaching specified TP or SL counts per day
Support & Resistance System
Multiple Pivot Types - Traditional, Fibonacci, Woodie, Classic, DM, and Camarilla calculations
Flexible Timeframes - Auto-adjusting or manual timeframe selection for S/R levels
Historical Levels - Configurable number of past S/R levels to display
Visual Customization - Individual color and display settings for each S/R level
Additional Features
Alert System - Customizable buy/sell alert messages with once-per-bar frequency
Visual Trade Management - Color-coded entry, SL, and TP levels with fill areas
Session Highlighting - Optional background colors for different trading sessions
Comprehensive Filtering - All signals must pass through multiple confirmation layers before execution
This approach demonstrates how to build a professional-grade trading system that combines multiple technical analysis methods with robust risk management and session-based controls, suitable for algorithmic trading across different market sessions.
Good luck and stay safe!
Algoway V4.2📌 Algoway V4.2 — Multi-layered Strategy Powered by ADX, MACD & PSO
Overview
Algoway V4.2 is a layered algorithmic strategy designed for volatility-rich assets like cryptocurrencies. While some core components (such as PSO, MACD, and ADX oscillators) are adapted from known indicator models, the original logic, state tracking, and Candle Strength Oscillator (CSO) are fully custom-developed.
This strategy is not a simple combination of tools — it implements a conditional entry-exit logic system based on ADX zone transitions, momentum structure, and MACD/PSO signal synchronization, enhanced by custom-built CSO filtering.
🧠 Key Modules and How They Work Together
PSO (Premium Stochastic Oscillator)
Used to confirm local oversold/overbought pressure. Acts as a directional filter.
MACD (Normalized)
Volatility-normalized MACD values allow consistent signal detection even on volatile pairs. It triggers entries when momentum begins shifting.
ADX Zonal Logic
Divides the market into Range / MidRange / Trend Peak zones. Entries are allowed only under specific transitions — e.g., long entries only in yellow (low volatility) zones or in trend climax zones under certain pullbacks.
CSO (Candle Strength Oscillator) — Custom Module
Designed to measure real candle momentum and price structure consistency. It avoids false breakouts and filters trend fatigue.
🔁 How Logic Works
Strategy maintains state variables to track entry type and zone.
Exit conditions depend on the entry origin: entries from "Range" exit in "Peak", while "Peak" entries exit during pullbacks or mid-strength trend reversals.
Additional logic prevents entries when signals are not aligned across modules, minimizing noise.
Optional CSO module acts as a final microstructure confirmation before executing MACD-based midpoint entries.
📊 Example Parameters (for 5M crypto scalping)
Each module is tuned to respond to 5-minute crypto volatility:
Stochastic: fast response, tight thresholds
MACD: shortened EMAs, normalized
ADX: traditional smoothing, custom thresholds for zone switching
CSO: candle-based dynamic filter with visual zone mapping
🧪 Conclusion
Algoway V4.2 is not a script merger — it is a custom logic engine using familiar technical components but governed by a proprietary decision model, with additional filters and dynamic variable tracking.
It’s suitable for scalping or swing setups, and the internal logic is optimized for real trading conditions, not just visual backtests.
Antony.N4A -NQ ORB Quartile Str v6.3Antony.N4A – NQ ORB Quartile Strategy v6.3
A precision-engineered intraday breakout system built for the Nasdaq futures market, combining the Opening Range Breakout (ORB) logic with dynamic standard deviation targets, structural filters, and multi-layer risk management.
🧠 Key Features
Opening Range Breakout (ORB):
Automatically defines a breakout window (default: 09:30–09:45) and triggers entries when price breaks the high or low of that range.
Standard Deviation Profit Targets:
Supports SD0.5, SD1.0, SD1.5, and SD2.0 targets relative to the ORB range.
EMA Filtering (200-period):
Filters trades based on EMA direction and price position to validate breakout direction and avoid false entries.
Range Filtering:
Detects directional bias and volatility trends using smoothed range logic.
Momentum Triggering:
Validates breakout momentum and allows entries when directional momentum is positive and increasing.
⚙️ User Inputs
ORB Settings: Timeframe, session, and timezone customization
Entry Window: Define when trades are allowed to trigger
Day Filters: Enable/disable trading by weekday
SD Targets: Configure exit % and active levels (SD0.5 – SD2.0)
EMA Filter & Sensitivity
Cross Filter (Anti-chop logic)
Range Filter Parameters
Visual Toggles: ORB range, SD levels, EMA clouds
🎯 Trade Management Rules
Entry:
Triggered at the close of a 5-minute candle confirming a breakout of the ORB range.
Stop Loss:
Defined by structural invalidation (quartile boundaries & mid-range buffers).
Take Profit Strategy:
75% closed at SD1.0 level
Remaining 25% trailed to further SD2 target
SL is moved to breakeven after partial exit
Execution Controls:
No pyramiding
No re-entries (cooldown enforced)
🔧 Trading Modes
✅ Safe Mode
EMA Filter: Enabled
EMA Sensitivity: 19
Range Filter: Disabled
Ideal for conservative setups and reduced noise environments
🔥 Aggressive Mode
EMA Filter: Enabled
EMA Sensitivity: 5
Range Filter: Disabled
Suited for high-frequency setups and faster breakouts
📊 Backtest Performance (7-Month Sample)
Safe Mode:
Win Rate: 66%
Total Trades: 29
Net PnL: +21.79R (~$4,357 with R = $200)
Max Red Days: 3
Max Drawdown: -$663
Best Month: +9R, Worst Month: -2R
Aggressive Mode:
Win Rate: 63%
Total Trades: 52
Net PnL: +30R (~$6,080)
Max Red Days: 6
Max Drawdown: -$1,357
Best Month: +12R, Worst Month: -3.2R
👨💻 Developed by Antony.N4A
This tool is crafted for strategic intraday traders, system developers, and backtesters.
For access, customization, or licensing options, contact the developer directly.
Protected script. Redistribution or reuse without permission is prohibited.
