MadTrend [InvestorUnknown]The MadTrend indicator is an experimental tool that combines the Median and Median Absolute Deviation (MAD) to generate signals, much like the popular Supertrend indicator. In addition to identifying Long and Short positions, MadTrend introduces RISK-ON and RISK-OFF states for each trade direction, providing traders with nuanced insights into market conditions.
Core Concepts
Median and Median Absolute Deviation (MAD)
Median: The middle value in a sorted list of numbers, offering a robust measure of central tendency less affected by outliers.
Median Absolute Deviation (MAD): Measures the average distance between each data point and the median, providing a robust estimation of volatility.
Supertrend-like Functionality
MadTrend utilizes the median and MAD in a manner similar to how Supertrend uses averages and volatility measures to determine trend direction and potential reversal points.
RISK-ON and RISK-OFF States
RISK-ON: Indicates favorable conditions for entering or holding a position in the current trend direction.
RISK-OFF: Suggests caution, signaling RISK-ON end and potential trend weakening or reversal.
Calculating MAD
The mad function calculates the median of the absolute deviations from the median, providing a robust measure of volatility.
// Function to calculate the Median Absolute Deviation (MAD)
mad(series float src, simple int length) =>
med = ta.median(src, length) // Calculate median
abs_deviations = math.abs(src - med) // Calculate absolute deviations from median
ta.median(abs_deviations, length) // Return the median of the absolute deviations
MADTrend Function
The MADTrend function calculates the median and MAD-based upper (med_p) and lower (med_m) bands. It determines the trend direction based on price crossing these bands.
MADTrend(series float src, simple int length, simple float mad_mult) =>
// Calculate MAD (volatility measure)
mad_value = mad(close, length)
// Calculate the MAD-based moving average by scaling the price data with MAD
median = ta.median(close, length)
med_p = median + (mad_value * mad_mult)
med_m = median - (mad_value * mad_mult)
var direction = 0
if ta.crossover(src, med_p)
direction := 1
else if ta.crossunder(src, med_m)
direction := -1
Trend Direction and Signals
Long Position (direction = 1): When the price crosses above the upper MAD band (med_p).
Short Position (direction = -1): When the price crosses below the lower MAD band (med_m).
RISK-ON: When the price moves further in the direction of the trend (beyond median +- MAD) after the initial signal.
RISK-OFF: When the price retraces towards the median, signaling potential weakening of the trend.
RISK-ON and RISK-OFF States
RISK-ON LONG: Price moves above the upper band after a Long signal, indicating strengthening bullish momentum.
RISK-OFF LONG: Price falls back below the upper band, suggesting potential weakness in the bullish trend.
RISK-ON SHORT: Price moves below the lower band after a Short signal, indicating strengthening bearish momentum.
RISK-OFF SHORT: Price rises back above the lower band, suggesting potential weakness in the bearish trend.
Picture below show example RISK-ON periods which can be identified by “cloud”
Note: Highlighted areas on the chart indicating RISK-ON and RISK-OFF periods for both Long and Short positions.
Implementation Details
Inputs and Parameters:
Source (input_src): The price data used for calculations (e.g., close, open, high, low).
Median Length (length): The number of periods over which the median and MAD are calculated.
MAD Multiplier (mad_mult): Determines the distance of the upper and lower bands from the median.
Calculations:
Median and MAD are recalculated each period based on the specified length.
Upper (med_p) and Lower (med_m) Bands are computed by adding and subtracting the scaled MAD from the median.
Visual representation of the indicator on a price chart:
Backtesting and Performance Metrics
The MadTrend indicator includes a Backtesting Mode with a performance metrics table to evaluate its effectiveness compared to a simple buy-and-hold strategy.
Equity Calculation:
Calculates the equity curve based on the signals generated by the indicator.
Performance Metrics:
Metrics such as Mean Returns, Standard Deviation, Sharpe Ratio, Sortino Ratio, and Omega Ratio are computed.
The metrics are displayed in a table for both the strategy and the buy-and-hold approach.
Note: Due to the use of labels and plot shapes, automatic chart scaling may not function ideally in Backtest Mode.
Alerts and Notifications
MadTrend provides alert conditions to notify traders of significant events:
Trend Change Alerts
RISK-ON and RISK-OFF Alerts - Provides real-time notifications about the RISK-ON and RISK-OFF states for proactive trade management.
Customization and Calibration
Default Settings: The provided default settings are experimental and not optimized. They serve as a starting point for users.
Parameter Adjustment: Traders are encouraged to calibrate the indicator's parameters (e.g., length, mad_mult) to suit their specific trading style and the characteristics of the asset being analyzed.
Source Input: The indicator allows for different price inputs (open, high, low, close, etc.), offering flexibility in how the median and MAD are calculated.
Important Notes
Market Conditions: The effectiveness of the MadTrend indicator can vary across different market conditions. Regular calibration is recommended.
Backtest Limitations: Backtesting results are historical and do not guarantee future performance.
Risk Management: Always apply sound risk management practices when using any trading indicator.
Cari dalam skrip untuk "supertrend"
RV- Dynamic Trend AnalyzerRV Dynamic Trend Analyzer
The RV Dynamic Trend Analyzer is a powerful TradingView indicator designed to help traders identify and capitalize on trends across multiple time frames—daily, weekly, and monthly. With dynamic adjustments to key technical indicators like EMA and MACD, the tool adapts to different chart periods, ensuring more accurate signals. Whether you are swing trading or holding longer-term positions, this indicator provides reliable buy/sell signals, breakout opportunities, and customizable visual elements to enhance decision-making. Its intelligent use of EMAs and MACD values ensures high potential returns, making it suitable for traders seeking strong, data-driven strategies. Below are its core features and their respective benefits.
Supertrend Indicator:
Importance: The Supertrend is a trend-following tool that helps traders identify the market’s direction by offering clear buy and sell signals based on price movement relative to the Supertrend line.
Benefits:
Helps filter out market noise and enables traders to stay in trends longer.
The pullback detection feature enhances trade timing by identifying potential entry points during retracements.
ATH/ATL & 52-Week High/Low with Candle Coloring:
Importance: Tracking all-time highs (ATH), all-time lows (ATL), and 52-week high/low levels helps traders identify key support and resistance levels.
Benefits:
Offers insights into the strength of price movements and potential reversal zones.
Candle coloring improves visual analysis, allowing quick identification of bullish or bearish conditions at critical levels.
Multi-Time Frame Analysis
Importance: The ability to view indicators like RSI and MACD across multiple time frames provides a more in-depth and comprehensive view of market behavior, allowing traders to make informed decisions that align with both short-term and long-term trends.
Benefits:
Align Strategies Across Time frames: By using multiple time frames, traders can align their strategies with larger trends (such as weekly or daily) while executing trades on lower time frames (like 1-minute or 5-minute charts). This improves the accuracy of trade entries and exits.
Reduce False Signals: Viewing key technical indicators like RSI and MACD across different time frames reduces the likelihood of false signals by offering a broader market context, filtering out noise from smaller time frames.
Customization of Table Display: Traders can customize the position and size of a table that displays RSI and MACD values for selected time frames. This flexibility enhances visibility and ease of analysis.
Time frame-Specific Data: The code allows for displaying RSI and MACD data for up to seven different time frames, making it highly customizable for traders depending on their preferred analysis period.
Visual Clarity: The table displays key values such as RSI and MACD histogram readings in a visually clear format, with color coding to quickly indicate overbought/oversold levels or MACD crossovers.
Pivot Points:
Importance: Pivot points serve as key support and resistance levels that help predict potential price movements.
Benefits:
Assists in identifying potential reversal zones and breakout points, aiding in trade planning.
Displaying pivot points across multiple time frames enhances market insight and improves strategic planning.
Quarterly Earnings Table:
Importance: Understanding a company’s quarterly earnings releases is crucial, as these events often lead to significant price volatility. Traders can leverage this information to adjust their strategies around earnings reports and prevent unexpected losses.
Benefits:
Helps traders anticipate potential price movements due to earnings reports.
Allows traders to avoid sudden losses by being aware of important earnings announcements and adjusting positions accordingly.
Customizable Visuals for Traders:
Dark Mode: Toggle between dark and light themes based on your chart's color scheme.
Mini Mode: A condensed version that visually simplifies the data, making it quicker to interpret through color-coded traffic lights (green for positive, red for negative).
Table Size & Position: Customize the size and position of the table for better visibility on your charts.
Data Period (FQ vs FY): Easily switch between displaying quarterly or yearly data based on the selected period.
Top-Left Cell Display: Option to display Free Float or Market Cap in the top-left cell for quick reference.
Exponential Moving Averages (EMAs) with Adjustable Lengths:
Importance: EMAs are essential for identifying trends and generating reliable buy/sell signals. The indicator plots four EMAs that dynamically adjust based on the selected time frame.
Benefits:
Dynamic Time frame Logic: EMA lengths and sources automatically adapt based on whether the user selects daily, weekly, or monthly time frames. This ensures the EMAs are relevant for the chosen strategy.
Multiple EMAs: By incorporating four different EMAs, users can observe both short-term and long-term trends simultaneously, improving their ability to identify key trend shifts.
Breakout Arrow Functionality:
Importance: This feature visually signals potential buy/sell opportunities based on the interaction between EMAs and MACD crossovers.
Benefits:
Crossover Signals: Arrows are plotted when EMAs and MACD cross, indicating breakout opportunities and aiding in quick trade decisions.
RSI Filter Option: Users can apply an optional RSI filter to refine buy/sell signals, reducing false signals and improving overall accuracy.
Disclaimer:
Before engaging in actual trading, we strongly recommend back testing the this indicator to ensure it fits your trading style and risk tolerance. Be sure to adjust your risk-reward ratio and set appropriate stop-loss levels to safeguard your investments. Proper risk management is key to successful trading.
Super Trend ReversalsMain Concept
The core idea behind the Super Trend Reversals indicator is to assess the momentum of automated trading bots (often referred to as 'Supertrend bots') that enter the market during critical turning points. Specifically, the indicator is tuned to identify when the market is nearing bottoms or peaks, but just before it shifts direction based on the triggered Supertrend signals. This approach helps traders engage with the market right as the reversal momentum builds up, allowing for entry just as conditions become favorable and exit before momentum wanes.
How It Works
The Super Trend Reversals uses multiple Supertrend calculations, each with different period and multiplier settings, to form a comprehensive view of the trend. The total trend score from these calculations is then analyzed using the Relative Strength Index (RSI) and Exponential Moving Averages (EMA) to gauge the strength and sustainability of the trend.
A key feature of this indicator is the isCurrentRangeSmaller() function, which evaluates if the current price range is lower than the average over the recent period. This function is critical as it helps determine the stability of the market environment, reducing the likelihood of entering or exiting trades based on erratic price movements that could lead to false signals.
Kalman Hull RSI [BackQuant]Kalman Hull RSI
At its core, this indicator uses a Kalman filter of price, put inside of a hull moving average function (replacing the weighted moving averages) and then using that as a price source for the the RSI, very similar to the Kalman Hull Supertrend just processing price for a different indicator.
This also allows it to make it more adaptive to price and also sensitive to recent price action. This indicator is also mainly built for trend-following systems
PLEASE Read the following, knowing what an indicator does at its core before adding it into a system is pivotal. The core concepts can allow you to include it in a logical and sound manner.
1. What is a Kalman Filter
The Kalman Filter is an algorithm renowned for its efficiency in estimating the states of a linear dynamic system amidst noisy data. It excels in real-time data processing, making it indispensable in fields requiring precise and adaptive filtering, such as aerospace, robotics, and financial market analysis. By leveraging its predictive capabilities, traders can significantly enhance their market analysis, particularly in estimating price movements more accurately.
If you would like this on its own, with a more in-depth description please see our Kalman Price Filter.
OR our Kalman Hull Supertrend
2. Hull Moving Average (HMA) and Its Core Calculation
The Hull Moving Average (HMA) improves on traditional moving averages by combining the Weighted Moving Average's (WMA) smoothness and reduced lag. Its core calculation involves taking the WMA of the data set and doubling it, then subtracting the WMA of the full period, followed by applying another WMA on the result over the square root of the period's length. This methodology yields a smoother and more responsive moving average, particularly useful for identifying market trends more rapidly.
3. Combining Kalman Filter with HMA
The innovative combination of the Kalman Filter with the Hull Moving Average (KHMA) offers a unique approach to smoothing price data. By applying the Kalman Filter to the price source before its incorporation into the HMA formula, we enhance the adaptiveness and responsiveness of the moving average. This adaptive smoothing method reduces noise more effectively and adjusts more swiftly to price changes, providing traders with clearer signals for market entries or exits.
The calculation is like so:
KHMA(_src, _length) =>
f_kalman(2 * f_kalman(_src, _length / 2) - f_kalman(_src, _length), math.round(math.sqrt(_length)))
Use Case
The Kalman Hull RSI is particularly suited for traders who require a highly adaptive indicator that can respond to rapid market changes without the excessive noise associated with typical RSI calculations. It can be effectively used in markets with high volatility where traditional indicators might lag or produce misleading signals.
Application in a Trading System
The Kalman Hull RSI is versatile in application, suitable for:
Trend Identification: Quickly identify potential reversals or confirmations of existing trends.
Overbought/Oversold Conditions: Utilize the dynamic RSI thresholds to pinpoint potential entry and exit points, adapting to current market conditions.
Risk Management: Enhance trading strategies by integrating a more reliable measure of momentum, which can lead to improved stop-loss placements and exit strategies.
Core Calculations and Benefits
Dynamic State Estimation: By applying the Kalman Filter, the indicator continually adjusts its calculations based on incoming price data, providing a real-time, smoothed response to price movements.
Reduced Lag: The integration with HMA significantly reduces lag, offering quicker responses to price changes than traditional moving averages or RSI alone.
Increased Accuracy: The dual filtering effect minimizes the impact of price spikes and noise, leading to more accurate signaling for trades.
Thus following all of the key points here are some sample backtests on the 1D Chart
Disclaimer: Backtests are based off past results, and are not indicative of the future.
INDEX:BTCUSD
INDEX:ETHUSD
BINANCE:SOLUSD
Targets For Many Indicators [LuxAlgo]The Targets For Many Indicators is a useful utility tool able to display targets for many built-in indicators as well as external indicators. Targets can be set for specific user-set conditions between two series of values, with the script being able to display targets for two different user-set conditions.
Alerts are included for the occurrence of a new target as well as for reached targets.
🔶 USAGE
Targets can help users determine the price limit where the price might start deviating from an indication given by one or multiple indicators. In the context of trading, targets can help secure profits/reduce losses of a trade, as such this tool can be useful to evaluate/determine user take profits/stop losses.
Due to these essentially being horizontal levels, they can also serve as potential support/resistances, with breakouts potentially confirming new trends.
In the above example, we set targets 3 ATR's away from the closing price when the price crosses over the script built-in SuperTrend indicator using ATR period 10 and factor 3. Using "Long Position Target" allows setting a target above the price, disabling this setting will place targets below the price.
Users might be interested in obtaining new targets once one is reached, this can be done by enabling "New Target When Reached" in the target logic setting section, resulting in more frequent targets.
Lastly, users can restrict new target creation until current ones are reached. This can result in fewer and longer-term targets, with a higher reach rate.
🔹 Dashboard
A dashboard is displayed on the top right of the chart, displaying the amount, reach rate of targets 1/2, and total amount.
This dashboard can be useful to evaluate the selected target distances relative to the selected conditions, with a higher reach rate suggesting the distance of the targets from the price allows them to be reached.
🔶 DETAILS
🔹 Indicators
Besides 'External' sources, each source can be set at 1 of the following Build-In Indicators :
ACCDIST : Accumulation/distribution index
ATR : Average True Range
BB (Middle, Upper or Lower): Bollinger Bands
CCI : Commodity Channel Index
CMO : Chande Momentum Oscillator
COG : Center Of Gravity
DC (High, Mid or Low): Donchian Channels
DEMA : Double Exponential Moving Average
EMA : Exponentially weighted Moving Average
HMA : Hull Moving Average
III : Intraday Intensity Index
KC (Middle, Upper or Lower): Keltner Channels
LINREG : Linear regression curve
MACD (macd, signal or histogram): Moving Average Convergence/Divergence
MEDIAN : median of the series
MFI : Money Flow Index
MODE : the mode of the series
MOM : Momentum
NVI : Negative Volume Index
OBV : On Balance Volume
PVI : Positive Volume Index
PVT : Price-Volume Trend
RMA : Relative Moving Average
ROC : Rate Of Change
RSI : Relative Strength Index
SMA : Simple Moving Average
STOCH : Stochastic
Supertrend
TEMA : Triple EMA or Triple Exponential Moving Average
VWAP : Volume Weighted Average Price
VWMA : Volume-Weighted Moving Average
WAD : Williams Accumulation/Distribution
WMA : Weighted Moving Average
WVAD : Williams Variable Accumulation/Distribution
%R : Williams %R
Each indicator is provided with a link to the Reference Manual or to the Build-In Indicators page.
The latter contains more information about each indicator.
Note that when "Show Source Values" is enabled, only values that can be logically found around the price will be shown. For example, Supertrend , SMA , EMA , BB , ... will be made visible. Values like RSI , OBV , %R , ... will not be visible since they will deviate too much from the price.
🔹 Interaction with settings
This publication contains input fields, where you can enter the necessary inputs per indicator.
Some indicators need only 1 value, others 2 or 3.
When several input values are needed, you need to separate them with a comma.
You can use 0 to 4 spaces between without a problem. Even an extra comma doesn't give issues.
The red colored help text will guide you further along (Only when Target is enabled)
Some examples that work without issues:
Some examples that work with issues:
As mentioned, the errors won't be visible when the concerning target is disabled
🔶 SETTINGS
Show Target Labels: Display target labels on the chart.
Candle Coloring: Apply candle coloring based on the most recent active target.
Target 1 and Target 2 use the same settings below:
Enable Target: Display the targets on the chart.
Long Position Target: Display targets above the price a user selected condition is true. If disabled will display the targets below the price.
New Target Condition: Conditional operator used to compare "Source A" and "Source B", options include CrossOver, CrossUnder, Cross, and Equal.
🔹 Sources
Source A: Source A input series, can be an indicator or external source.
External: External source if 'External" is selected in "Source A".
Settings: Settings of the selected indicator in "Source A", entered settings of indicators requiring multiple ones must be comma separated, for example, "10, 3".
Source B: Source B input series, can be an indicator or external source.
External: External source if 'External" is selected in "Source B".
Settings: Settings of the selected indicator in "Source B", entered settings of indicators requiring multiple ones must be comma separated, for example, "10, 3".
Source B Value: User-defined numerical value if "value" is selected in "Source B".
Show Source Values: Display "Source A" and "Source B" on the chart.
🔹 Logic
Wait Until Reached: When enabled will not create a new target until an existing one is reached.
New Target When Reached: Will create a new target when an existing one is reached.
Evaluate Wicks: Will use high/low prices to determine if a target is reached. Unselecting this setting will use the closing price.
Target Distance From Price: Controls the distance of a target from the price. Can be determined in currencies/points, percentages, ATR multiples, ticks, or using multiple of external values.
External Distance Value: External distance value when "External Value" is selected in "Target Distance From Price".
Trend Confirmation StrategyThe profitability and uniqueness of a trading strategy depend on various factors including market conditions, risk management, and the strategy's ability to capitalize on price movements. I'll describe the strategy provided and highlight its potential benefits and differences compared to other strategies:
Strategy Overview:
The provided strategy combines three technical indicators: Supertrend, MACD, and VWAP. It aims to identify potential entry and exit points by confirming trend direction and considering the proximity to the VWAP level. The strategy also incorporates stop-loss and take-profit mechanisms, as well as a trailing stop.
Unique Aspects and Potential Benefits:
Trend Confirmation: The strategy uses both Supertrend and MACD to confirm the trend direction. This dual confirmation can increase the likelihood of accurate trend identification and filter out false signals.
VWAP Confirmation: The strategy considers the proximity of the price to the VWAP level. This dynamic level can act as a support or resistance and provide additional context for entry decisions.
Adaptive Stop Loss: The strategy sets a stop-loss range, which helps provide some tolerance for minor price fluctuations. This adaptive approach considers market volatility and helps prevent premature stop-loss triggers.
Trailing Stop: The strategy incorporates a trailing stop mechanism to lock in profits as the trade moves in the desired direction. This can potentially enhance profitability during strong trends.
Partial Profit Booking: While not explicitly implemented in the provided code, you could consider booking partial profits when the MACD shows a crossover in the opposite direction. This aspect could help secure gains while still keeping exposure to potential further price movements.
Key Differences from Other Strategies:
Dual Indicator Confirmation: The combination of Supertrend and MACD for trend confirmation is a unique aspect of this strategy. It adds an extra layer of filtering to enhance the accuracy of entry signals.
Dynamic VWAP: Incorporating the VWAP level into the decision-making process adds a dynamic element to the strategy. VWAP is often used by institutional traders, and its inclusion can provide insights into the market sentiment.
Adaptive Stop Loss and Trailing: The strategy's use of an adaptive stop-loss range and a trailing stop can help manage risk and protect profits more effectively during changing market conditions.
Partial Profit Booking: The suggestion to consider partial profit booking upon MACD crossovers in the opposite direction is a practical approach to secure gains while staying in the trade.
Caution and Considerations:
Backtesting: Before deploying any strategy in real trading, it's crucial to thoroughly backtest it on historical data to understand its performance under various market conditions.
Risk Management: While the strategy has built-in risk management mechanisms, it's essential to carefully manage position sizes and overall portfolio risk.
Market Conditions: No strategy works well in all market conditions. It's important to be flexible and adjust the strategy or refrain from trading during particularly volatile or unpredictable periods.
Continuous Monitoring: Even though the strategy includes automated components, continuous monitoring of the trades and market conditions is necessary.
Adaptability: Markets can change over time. Traders need to be prepared to adapt the strategy as necessary to stay aligned with evolving market dynamics.
Lorentzian Classification Strategy Based in the model of Machine learning: Lorentzian Classification by @jdehorty, you will be able to get into trending moves and get interesting entries in the market with this strategy. I also put some new features for better backtesting results!
Backtesting context: 2022-07-19 to 2023-04-14 of US500 1H by PEPPERSTONE. Commissions: 0.03% for each entry, 0.03% for each exit. Risk per trade: 2.5% of the total account
For this strategy, 3 indicators are used:
Machine learning: Lorentzian Classification by @jdehorty
One Ema of 200 periods for identifying the trend
Supertrend indicator as a filter for some exits
Atr stop loss from Gatherio
Trade conditions:
For longs:
Close price is above 200 Ema
Lorentzian Classification indicates a buying signal
This gives us our long signal. Stop loss will be determined by atr stop loss (white point), break even(blue point) by a risk/reward ratio of 1:1 and take profit of 3:1 where half position will be closed. This will be showed as buy.
The other half will be closed when the model indicates a selling signal or Supertrend indicator gives a bearish signal. This will be showed as cl buy.
For shorts:
Close price is under 200 Ema
Lorentzian Classification indicates a selling signal
This gives us our short signal. Stop loss will be determined by atr stop loss (white point), break even(blue point) by a risk/reward ratio of 1:1 and take profit of 3:1 where half position will be closed. This will be showed as sell.
The other half will be closed when the model indicates a buying signal or Supertrend indicator gives a bullish signal. This will be showed as cl sell.
Risk management
To calculate 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 or last swing 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 or last swing 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.
> You can also choose a fixed amount, so you will have to activate fixed amount in risk management for trades and set the fixed amount for backtesting.
Script functions
Inside of settings, you will find some utilities for display atr stop loss, break evens, positions, signals, indicators, a table of some stats from backtesting, etc.
You will find the settings for risk management at the end of the script if you want to change something or trying new values for other assets for backtesting.
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.
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
I also added a function for backtesting if you had added or withdrawn money frequently:
Adding money: You can choose how often you want to add money (Monthly, yearly, daily or weekly). Then a fixed amount of money and activate or deactivate this function
Withdraw money: You can choose if you want to withdraw a fixed amount or a percentage of earnings. Then you can choose a fixed amount of money, the period of time and activate or deactivate this function. Also, the percentage of earnings if you choosed this option.
Some other assets where strategy has worked
BTCUSD 4H, 1D
ETHUSD 4H, 1D
BNBUSD 4H
SPX 1D
BANKNIFTY 4H, 15 min
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!. If you have problems loading the script reduce max bars back number in general settings
Strategies for trending markets use to have more looses than wins and it takes a long time to get profits, so do not forget to be patient and consistent !
Please, visit the post from @jdehorty called Machine Learning: Lorentzian Classification for a better understanding of his script!
Any support and boosts will be well received. If you have any question, do not doubt to ask!
stoch supertrd atr 200maThis strategy combines Supertrend, 200 EMA, Stochastic, and an ATR stop loss indicator. For buy conditions, the Stochastic has to be below the 20 level, price has to be above the 200 Ema and the Supertrend has to be green. For sell conditions, it has to be the opposite. the Stochastic has to be above the 80 level, price has to be below the 200 Ema and the Supertrend has to be red.
ATR Trading SetupThis simple script base on function of ATR Trailing Stop (aka SuperTrend) to plot Trading Setup on chart with detail as below:
1. Type of Average True Range (ATR)
+ The function calculate ATR may base on 1 of 3 type of Average: RMA, SMA, EMA
2. Trading Setup
2.1 Long setup
+ SuperTrend is upTrend
+ Entry Long at (or below) last value ATR Trailing Stop of Previous Trend (DownTrend)
+ Stop loss at first value ATR Trailing Stop of now Trend (upTrend)
+ Take profit at first value ATR Trailing Stop of Previous Trend (downTrend)
+ Move stop loss follow ATR Trailing Stop (green dot)
2.1 Short setup
+ SuperTrend is downTrend
+ Entry Short at (or above) last value ATR Trailing Stop of Previous Trend (upTrend)
+ Stop loss at first value ATR Trailing Stop of now Trend (downTrend)
+ Take profit at first value ATR Trailing Stop of Previous Trend (upTrend)
+ Move stop loss follow ATR Trailing Stop (red dot)
Super scalpThis is scalp strategy based on the confluence of 3 indicators
ema 9 , supertrend and vwap
when supertrend buy signal is generated and the price is above ema and vwap scalp buy signal is generated
when supertrend sell signal is generated and the price is below ema and vwap scalp sell signal is generated
Share market aasan hai CPR with MA & VWAP This script will allow to add CPR with Standard Pivots and 4 Indicators.
Standard Pivot has 9 levels of support and 9 levels of resistance lines. It has CPR , 3 levels of Day-wise pivots , 3 levels of Weekly pivots and 3 Levels of Monthly Pivots .
In Addition to the CPR and Pivot , this script will allow user to Add 4 more Indicators - SMA , EMA , VWAP and SuperTrend as well.
All the Support and resistance levels can be enabled / disabled from settings. It will allow to select multiple combinations of support and resistance levels across 3 levels at any of the 3 time-frames individually and combined.
All 4 Indicators can be can be enabled / disabled from settings. This will allow the indicators to be plotted individually and combined along with any combination of CPR & Pivots .
These number of combinations will allow user to visualize the charts with desired indicators, pivot support & resistance levels on all or any of the 3 time frames.
For Ease of access, listed few points on how the script works..
- CPR and day-wise level 1 & 2 (S1 & R1) enabled by default and can be changed from settings
- Day-wise Level 2 & 3 (S2, R2, S3 & L3) can be enabled from settings
- Weekly 3 levels and Monthly 3 levels can be enabled from settings
- CPR & pivot levels colored in blue lines
- All support levels colored in Green
- All resistance levels Colored in Red
- Day-wise pivot , support & resistance are straight lines
- Weekly pivot , support & resistance are cross (+) lines
- Weekly pivot , support & resistance are circle (o) lines
- SMA , EMA , VWAP and SuperTrend Enabled by Default
- SMA
- EMA
- SuperTrend
Big Snapper Alerts R2.0 by JustUncleLThis is a diversified Binary Option or Scalping Alert indicator originally designed for lower Time Frame Trend or Swing trading. Although you will find it a useful tool for higher time frames as well.
The Alerts are generated by the changing direction of the ColouredMA (HullMA by default), you then have the choice of selecting the Directional filtering on these signals or a Bollinger swing reversal filter.
The filters include:
Type 1 - The three MAs (EMAs 21,55,89 by default) in various combinations or by themselves. When only one directional MA selected then direction filter is given by ColouredMA above(up)/below(down) selected MA. If more than one MA selected the direction is given by MAs being in correct order for trend direction.
Type 2 - The SuperTrend direction is used to filter ColouredMA signals.
Type 3 - Bollinger Band Outside In is used to filter ColouredMA for swing reversals.
Type 4 - No directional filtering, all signals from the ColouredMA are shown.
Notes:
Each Type can be combined with another type to form more complex filtration.
Alerts can also be disabled completely if you just want one indicator with one colouredMA and/or 3xMAs and/or Bollinger Bands and/or SuperTrend painted on the chart.
Warning:
Be aware that combining Bollinger OutsideIn swing filter and a directional filter can be counter productive as they are opposites. So careful consideration is needed when combining Bollinger OutsideIn with any of the directional filters.
Hints:
For Binary Options try ColouredMA = HullMA(13) or HullMA(8) with Type 2 or 3 Filter.
When using Trend filters SuperTrend and/or 3xMA Trend, you will find if price reverses and breaks back through the Big Fat Signal line, then this can be a good reversal trade.
Some explanation about the what Hull Moving average and ideas of how the generated in Big Snapper can be used:
tradingsim.com
forextradingstrategies4u.com
Inspiration from @vdubus
Big Snapper's Bollinger OutsideIn Swing filter in Action:
Twin Range Filter VisualizedVisulaized version of @colinmck's Twin Range Filter version on TradingView.
On @colinmck's Twin Range Filter version, you can only see Long and Short signals on the chart.
But in this version of TRF, users can visually see the BUY and SELL signals on the chart with an added line of TRF.
TRF is an average of two smoothed Exponential Moving Averages, fast one has 27 bars of length and the slow one has 55 bars.
The purpose is to obtain two ranges that price fluctuates between (upper and lower range) and have LONG AND SHORT SIGNALS when close price crosses above the upper range and conversely crosses below lower range.
I personally combine the upper and lower ranges on one line to see the long and short signals with my own eyes so,
-BUY when price is higher or equal to the upper range level and the indicator line turns to draw the lower range to follow the price just under the bars as a trailing stop loss indicator like SuperTrend.
-SELL when price is lower or equal to the lower range levelline under the bars and then the indicator line turns to draw the upper range to follow the price just over the bars in that same trailing stop loss logic.
There are also two coefficients that adjusts the trailing line distance levels from the price multiplying the effect of the faster and slower moving averages.
The default values of the multipliers:
Fast range multiplier of Fast Moving Average(27): 1.6
Slow range multiplier of fSlow Moving Average(55): 2
Remember that if you enlarge these multipliers you will enlarge the ranges and have less but lagging signals. Conversely, decreasing the multipliers will have small ranges (line will get closer to the price and more signals will occur)
Moving Average SARHello Traders,
Today, I have brought to you an indicator that utilizes the Parabolic SAR.
To begin with, the Parabolic SAR is an indicator that trails the price in the form of a parabola, seeking out Stop And Reverse points.
The indicator I present merges the calculation formula of the Parabolic SAR with the Moving Average.
One aspect I pondered over was how to determine the starting point of this SAR. Trailing the price flow with the logic set by the moving average was fine, but the question was where to begin.
My approach involves a variable I call 'sensitiveness,' which automatically adjusts the length according to the timeframe you are observing. Using pinescript's math.ceil, I formulated:
interval_to_len = timeframe.multiplier * (timeframe.isdaily ? 1440 : timeframe.isweekly ? 1440 * 7 : timeframe.ismonthly ? 1440 * 30 : 1)
main_len = math.ceil(sensitiveness / interval_to_len)
This formula represents the length, and through variables like:
_highest = math.min(ta.highest(high, main_len), close + ta.atr(46)*4)
_lowest = math.max(ta.lowest(low, main_len), close - ta.atr(46)*4)
I have managed to set the risk at a level that does not impose too great a burden.
Moreover, the 'Trend Strength Parameter' allows you to choose how strongly to trail the current price.
Lastly, think of the Band Width as a margin for accepting changes in the trend. As the value increases, the Band Width expands, measured through the ATR.
This indicator is particularly useful for holding positions and implementing trailing stops. It will be especially beneficial for those interested in price tracking of trends, like with Parabolic SAR or Supertrend.
I hope you find this tool useful.
LibrarySupertrendLibrary "LibrarySupertrend"
selective_ma(condition, source, length)
Parameters:
condition (bool)
source (float)
length (int)
trendUp(source)
Parameters:
source (float)
smoothrng(source, sampling_period, range_mult)
Parameters:
source (float)
sampling_period (simple int)
range_mult (float)
rngfilt(source, smoothrng)
Parameters:
source (float)
smoothrng (float)
fusion(overallLength, rsiLength, mfiLength, macdLength, cciLength, tsiLength, rviLength, atrLength, adxLength)
Parameters:
overallLength (simple int)
rsiLength (simple int)
mfiLength (simple int)
macdLength (simple int)
cciLength (simple int)
tsiLength (simple int)
rviLength (simple int)
atrLength (simple int)
adxLength (simple int)
zonestrength(amplitude, wavelength)
Parameters:
amplitude (int)
wavelength (simple int)
atr_anysource(source, atr_length)
Parameters:
source (float)
atr_length (simple int)
supertrend_anysource(source, factor, atr_length)
Parameters:
source (float)
factor (float)
atr_length (simple int)
AI-Bank-Nifty Tech AnalysisThis code is a TradingView indicator that analyzes the Bank Nifty index of the Indian stock market. It uses various inputs to customize the indicator's appearance and analysis, such as enabling analysis based on the chart's timeframe, detecting bullish and bearish engulfing candles, and setting the table position and style.
The code imports an external script called BankNifty_CSM, which likely contains functions that calculate technical indicators such as the RSI, MACD, VWAP, and more. The code then defines several table cell colors and other styling parameters.
Next, the code defines a table to display the technical analysis of eight bank stocks in the Bank Nifty index. It then defines a function called get_BankComponent_Details that takes a stock symbol as input, requests the stock's OHLCV data, and calculates several technical indicators using the imported CSM_BankNifty functions.
The code also defines two functions called get_EngulfingBullish_Detection and get_EngulfingBearish_Detection to detect bullish and bearish engulfing candles.
Finally, the code calculates the technical analysis for each bank stock using the get_BankComponent_Details function and displays the results in the table. If the engulfing input is enabled, the code also checks for bullish and bearish engulfing candles and displays buy/sell signals accordingly.
The FRAMA stands for "Fractal Adaptive Moving Average," which is a type of moving average that adjusts its smoothing factor based on the fractal dimension of the price data. The fractal dimension reflects self-similarity at different scales. The FRAMA uses this property to adapt to the scale of price movements, capturing short-term and long-term trends while minimizing lag. The FRAMA was developed by John F. Ehlers and is commonly used by traders and analysts in technical analysis to identify trends and generate buy and sell signals. I tried to create this indicator in Pine.
In this context, "RS" stands for "Relative Strength," which is a technical indicator that compares the performance of a particular stock or market sector against a benchmark index.
The "Alligator" is a technical analysis tool that consists of three smoothed moving averages. Introduced by Bill Williams in his book "Trading Chaos," the three lines are called the Jaw, Teeth, and Lips of the Alligator. The Alligator indicator helps traders identify the trend direction and its strength, as well as potential entry and exit points. When the three lines are intertwined or close to each other, it indicates a range-bound market, while a divergence between them indicates a trending market. The position of the price in relation to the Alligator lines can also provide signals, such as a buy signal when the price crosses above the Alligator lines and a sell signal when the price crosses below them.
In addition to these, we have several other commonly used technical indicators, such as MACD, RSI, MFI (Money Flow Index), VWAP, EMA, and Supertrend. I used all the built-in functions for these indicators from TradingView. Thanks to the developer of this TradingView Indicator.
I also created a BankNifty Components Table and checked it on the dashboard.
wbburgin_utilsLibrary "wbburgin_utils"
trendUp(source)
Parameters:
source
smoothrng(source, sampling_period, range_mult)
Parameters:
source
sampling_period
range_mult
rngfilt(source, smoothrng)
Parameters:
source
smoothrng
fusion(overallLength, rsiLength, mfiLength, macdLength, cciLength, tsiLength, rviLength, atrLength, adxLength)
Parameters:
overallLength
rsiLength
mfiLength
macdLength
cciLength
tsiLength
rviLength
atrLength
adxLength
zonestrength(amplitude, wavelength)
Parameters:
amplitude
wavelength
atr_anysource(source, atr_length)
Parameters:
source
atr_length
supertrend_anysource(source, factor, atr_length)
Parameters:
source
factor
atr_length
Open Interest Delta with MAs[Binance Perpetuals]!!!!! This indicator only shows Binance Perpetuals Open Interest Delta !!!!!
!!!!! When Binance Spot pair charts is selected, It still shows the perpetual contract Open Interest, if the pair on the chart is tradeble on perpetual contracts. I assume you know what Open Interest is. !!!!!
ZLEMA , Tillson, VAR MAs codes are coming from @KivancOzbilgic => SuperTrended Moving Averages
KAMA code is coming from @HPOTTER => Kaufman Moving Average Adaptive ( KAMA )
Open Interest with Bollinger Bands and some moving averages!!! This indicator only shows Binance Perpetuals Open Interest !!!
!!!!! When Binance Spot pair charts is selected, It still shows the perpetual contract Open Interest, if the pair on the chart is tradeble on perpetual contracts. I assume you know what Open Interest is. !!!!!
ZLEMA, Tillson, VAR MAs codes are coming from @KivancOzbilgic => SuperTrended Moving Averages
Golden Swing Strategy - Souradeep DeyThis strategy is developed by Mr. Souradeep Dey. Strategy is based on RSI, Stoch, BB & Supertrend.
Coding by Rajkumar
Bollinger Bands Strategy (MA type)The types of moving averages that Mr. Kıvanç Özbilgiç uses in his indicators and especially the "MACD Reloaded" and "SuperTrended Moving Averages" indicators gave me an idea.
Better results can be obtained in different time frames by increasing the range of Moving averages used in Bollinger Bands.
It is a trial and educational work only.
Indicators OverviewThis Indicator help you to see whether the price is above or below vwap, supertrend. Also you can see realtime RSI value.
You can add upto 15 stock of your choice.
HiLo IndicatorNYSE:SPCE
This is an old and simple concept of mine that I am revisiting. It looks similar to the Vortex Indicator but the formulation is different. I was sick and tired of buying late at the top of the peaks, so I wanted to relate the current price to historic highs and lows (you can change how far you want to go back Time Length = tl). The functions are incredible simple:
lo = close -lowest(close,tl)
hi = highest(close,tl) -close
This generates a weaving pattern that shows bullish (lo>hi) and bearish (lo<hi) zones. WMA's (Fast and Long which can be changed and I have the defaults set kind or high) are used to smooth the functions. Only the long is shown for the "hi" function to keep the plot cleaner. I used crossover points of the "lo" WMA curves to specify places of possible bearish "turn around" points and bullish "entry" points. Alerts can set set for these along with the main crossovers where the plots cross bullish (green) and bearish (red). It seems to be a really good companion to popular buy/sell indicators like the Supertrend.
Hope you like it and let me know if there are any questions.
